Masters powerBI Dashboard Weekly Progress by Nawaz, Mansha

BI Dashboard (Annalisa

PowerBImansh — 2023-09-17 20:53:08 UTC

Week1

q2160145 — 2023-09-25 11:04:01 UTC

Week 1- Sales dashboard - Le Doan

2023-09-25 12:49:35 UTC

Power Bi activity 3 (Causes of death chart)

q2464827 — 2023-09-25 12:55:01 UTC

Week 1- Sales dashboard- Anita Ukwu

2023-09-25 12:56:16 UTC

Week 1 - Sales Dashboard - Anil Vadla

2023-09-25 12:56:21 UTC

Muftau Lawal - Week 01 (Activity 2)

2023-09-25 12:58:22 UTC

Muftau Lawal - Week 01 (Activity 1)

2023-09-25 12:59:00 UTC

Week 1 - Basic Sales Dashboard - Diya Baig

2023-09-25 13:00:13 UTC

WEEK 1 Cristian

n3166117 — 2023-09-25 13:02:15 UTC

WEEK 1 BASIC SALES - DASHBOARD OMIJIE PRECIOUS

2023-09-25 13:02:23 UTC

Week 1sales dashboard makanjuola esther

2023-09-25 13:04:11 UTC

2023-09-25 13:45:20 UTC

d3897342 — 2023-09-25 13:51:05 UTC

Lab 1 - Activity 3 (Nikita Dandwate - D3897342)

2023-09-25 14:21:37 UTC

2023-09-25 14:23:24 UTC

week 1 - (Activity two) Brendan Nwabichie.

2023-09-25 14:33:16 UTC

Week 1 - (Activity one) Brendan Nwabichie

2023-09-25 14:37:07 UTC

2023-09-25 14:47:31 UTC

Lavanya Sannapaneni

2023-09-25 15:57:08 UTC

Week1 Activity

WEEK 1 SALES DARSH BOARD ACTIVITY 1 OMIJIE PRECIOUS

2023-09-25 16:57:22 UTC

Week-01_Power_BI _Activity-01(RUCHITHA BOLLENA-W9602985)

w9602985 — 2023-09-26 12:29:59 UTC

Week 1

d3658893 — 2023-09-26 13:21:51 UTC

The resulting chart should help us understand the general trend over time and do a comparison between the two groups (number of deaths for Covid versus other causes).

d3825206

balammavattivalla23 — 2023-09-26 13:28:53 UTC

SAMPATH GOUD SITAGARI -w9639185

sitagarisampath19 — 2023-09-26 13:32:24 UTC

Vazeer's Big Data and Business intelligence Lab

d3656107 — 2023-09-26 13:35:51 UTC

WEEK1 -CAUSES OF DEATH BY WEEK W9643793 HARINI

2023-09-26 13:43:30 UTC

Week 1 - Cause of Death by Week - Chandana Pabbireddy

2023-09-26 13:43:53 UTC

Week 1- Causes of Death by Paladugula Ravali

2023-09-26 13:45:48 UTC

D3903038

d3903038 — 2023-09-26 13:48:49 UTC

D3773367

d3773367 — 2023-09-26 13:51:02 UTC

2023-09-26 13:51:48 UTC

2023-09-26 13:51:59 UTC

2023-09-26 13:52:43 UTC

2023-09-26 13:53:51 UTC

2023-09-26 13:54:12 UTC

2023-09-26 13:54:29 UTC

2023-09-26 13:54:41 UTC

SAI RAM PAKA

2023-09-26 13:54:43 UTC

2023-09-26 13:54:46 UTC

Week1 Causes of Death by Meghana

2023-09-26 13:55:57 UTC

d3825206

balammavattivalla23 — 2023-09-26 13:59:58 UTC

SAMPATH GOUD SITAGARI-W9639185

sitagarisampath19 — 2023-09-26 14:02:04 UTC

2023-09-26 14:04:36 UTC

2023-09-26 14:05:01 UTC

2023-09-26 14:05:13 UTC

week 1 Sum of profit by year and category/yearly profit/loss review across categories Activity 2 OMIJIE PRECIOUS

2023-09-26 14:36:58 UTC

WEEK 1 SALES DARSH BOARD OMIJIE PRECIOIUS

2023-09-26 15:53:50 UTC

2023-09-26 17:14:56 UTC

covid activity3 lab

2023-09-26 23:35:16 UTC

d3722574
Shashidhar reddy Surakanti

Week1 Activity 3 Power BI -D3591118 Bhavana Yalavarthi

2023-09-27 07:58:42 UTC

Attached the POWER BI first day third activity.

Activity1 Week1 - D3591118 Bhavana Yalavarthi

2023-09-27 08:08:13 UTC

Activity1 Week1 -powerbi

Activity2 Week1 - D3591118 Bhavana Yalavarthi

2023-09-27 08:08:37 UTC

Activity2 Week1 - D3591118 Bhavana Yalavarthi

D3903038 before

d3903038 — 2023-09-27 08:42:22 UTC

D3903038 after applying filter

d3903038 — 2023-09-27 08:44:34 UTC

d3903038 after adding text

d3903038 — 2023-09-27 08:45:12 UTC

Do try to address what the Business Question is addressing.

PowerBImansh — 2023-09-27 21:55:48 UTC

Do add your comments and thoughts to each weekly activity!

PowerBImansh — 2023-09-27 21:58:21 UTC

And try to provide the header to each visual and a Business Question it helps address!

PowerBImansh — 2023-09-27 21:59:48 UTC

Le Doan - Week 1

2023-09-28 09:35:55 UTC

Le Doan - Week 1

2023-09-28 09:36:37 UTC

Ali - Week 1

2023-09-28 09:37:31 UTC

Ali -Week 1 (2)

2023-09-28 09:38:45 UTC

Week 1 - Nikita HK

2023-09-28 09:41:33 UTC

Progress of charts

Adefunke Okezie Week 1

c2657813 — 2023-09-28 09:41:38 UTC

Week 1 Covid Data

t7191599 — 2023-09-28 09:43:18 UTC

Andrew Powell

Covid Data (Andrew)

t7191599 — 2023-09-28 09:44:18 UTC

Andrew

Week 1 Covid data (Andrew)

t7191599 — 2023-09-28 09:47:09 UTC

WK 1

2023-09-28 09:48:02 UTC

Maria wk 1

2023-09-28 09:49:13 UTC

Week 1 - Task 3 Nikita HK

2023-09-28 09:50:16 UTC

Final task week 1

Adefunke Okezie

c2657813 — 2023-09-28 09:52:42 UTC

Week 1 - Yuvraj Haryan

2023-09-28 09:53:57 UTC

Week 1 Martin N

d3690224 — 2023-09-28 09:54:58 UTC

kabiru D kelas- D3376221 week -1

2023-09-28 09:57:09 UTC

today's work-nosakhare ajayi

2023-09-28 10:03:13 UTC

d3787937-Week 01(vamsi reddy)

2023-09-28 12:59:25 UTC

Sai ram Thota-D3675166

2023-09-28 12:59:55 UTC

Mian Muhammad Safyan

2023-09-28 13:29:33 UTC

susmitha-week 1

2023-09-28 13:43:22 UTC

Mian Muhammad Safyan (first task)

2023-09-28 13:43:24 UTC

harikrishna thotakuri

2023-09-28 13:43:28 UTC

Wilson_Week 1

2023-09-28 13:44:47 UTC

Albert_Week 1

2023-09-28 13:45:46 UTC

Madonna LabTest 1

2023-09-28 13:46:36 UTC

First Bar chart conversion

PATURU RAMKIRAN REDDY 1st week

2023-09-28 13:52:43 UTC

Grace- week1

q2241217 — 2023-09-28 13:53:39 UTC

Mounika

2023-09-28 13:53:47 UTC

power BI practice by Fatima

2023-09-28 13:55:01 UTC

Power BI -26092023

2023-09-28 13:58:53 UTC

Task on 26/09/2023
Neethu Varghese
D3713088

B1708734 - Prince Ikah

B1708734 — 2023-09-28 14:00:53 UTC

WEEK 1 ACTIVITY 1

Akash Ibna Habib- W9599931

w9599931 — 2023-09-28 14:03:03 UTC

Oluyemi Kemiki - C2724865

c2724865 — 2023-09-28 14:04:03 UTC

W9608321

2023-09-28 14:04:19 UTC

sum of sales by country

w9604176 — 2023-09-28 14:07:16 UTC

countries with highest superstore sales

C2257509 - Emmanuel Eze-Ukauwa

c2257509 — 2023-09-28 14:07:36 UTC

Q2045080

2023-09-28 14:07:37 UTC

week 1
Activity 1

2023-09-28 14:07:56 UTC

week-1 Uday

Week1 (Mon) Power_BI Lab, Covid19

d3445103 — 2023-09-28 14:08:41 UTC

2023-09-28 14:31:06 UTC

W9596196

Week1 (Mon) Power BI Lab, Covid 19

d3797651 — 2023-09-28 14:32:00 UTC

Mallika - w9608321

2023-09-28 14:33:30 UTC

w9608321

2023-09-28 14:34:29 UTC

Mallika w9608321

2023-09-28 14:35:43 UTC

Oluyemi kemiki - Activity 2

c2724865 — 2023-09-28 14:36:34 UTC

W9599931 AKASH

w9599931 — 2023-09-28 14:37:08 UTC

Yearly profit/loss review across categories

w9604176 — 2023-09-28 14:37:32 UTC

B1708734 - Prince Ikah

B1708734 — 2023-09-28 14:38:24 UTC

Week 1 Activity 2

Visualize chart for weekly deaths due to covid-19 compared to other causes (Comparison between the two groups "number of deaths for covid vs other causes")

w9621119 — 2023-09-28 14:39:16 UTC

Fadipe olubunmi activity1

c2276953 — 2023-09-28 14:44:15 UTC

Fadipe olubunmi activity 2

c2276953 — 2023-09-28 14:47:01 UTC

C2257509 Emmanuel Eze-Ukauwa

c2257509 — 2023-09-28 14:47:09 UTC

Nikhil D3637265 week1

2023-09-28 14:49:42 UTC

d3445103 Week1(Mon)

d3445103 — 2023-09-28 14:52:13 UTC

Week 1 (Mon) D3797651

d3797651 — 2023-09-28 14:52:13 UTC

Q2045080

2023-09-28 14:56:00 UTC

Week 1
Activity 2

Week-1 Task -W9607526

2023-09-28 15:56:30 UTC

W9607526
Sriharsha Surannagari
I got above result, I have tried to get x axis values but I need more information on it before doing that, PFA

2023-09-28 16:41:18 UTC

d3142202 — 2023-09-28 16:50:06 UTC

week 1 - Activity 3. covid 19, causes of death by week - Brendan Nwabichie.

2023-09-28 17:27:38 UTC

Nidhi Patel - W9611141 (Week-1)

w9611141 — 2023-09-28 17:41:35 UTC

Nidhi Patel - W9611141(week-1)

w9611141 — 2023-09-28 17:42:47 UTC

Muftau Lawal - Covid Dataset

2023-09-28 17:47:47 UTC

WEEK 1 ACTIVITY 3 - OMIJIE PRECIOUS

2023-09-28 18:23:44 UTC

Week 1 - Seun

2023-09-29 00:02:54 UTC

First-ever dashboard. Looking forward to creating more.

D3002144- Olanrewaju Charles (Week 1)

olanrewajucharles2014 — 2023-09-29 00:42:16 UTC

Week 1- Rodiyah

2023-09-29 07:36:16 UTC

Week 2 (Tue)

PowerBImansh — 2023-09-29 07:46:18 UTC

Week 01 (Fri)

2023-09-29 09:11:52 UTC

Week 01 (Fri)

2023-09-29 09:12:53 UTC

Agboola Onasanya

Le Doan - Week 1 Friday

2023-09-29 09:13:04 UTC

Paul Shail - Week 1 task for COVID deaths

2023-09-29 09:13:56 UTC

Extended task 2 by filtering on data to just Middlesbrough deaths

D3742204 - Activity 3: Covid Data Comparisons (Number of Deaths / Other Causes)

2023-09-29 09:21:32 UTC

d3654679 — 2023-09-29 09:21:43 UTC

pavansandeep dagani- d3654679

d3654679 — 2023-09-29 09:23:30 UTC

PAVANSANDEEP DAGANI- D3654679

Week 01 (Fri)

2023-09-29 09:26:08 UTC

D3621057 - siddhartha reddy

d3621057 — 2023-09-29 09:26:59 UTC

D3621057- siddhartha reddy ( week-01)

d3621057 — 2023-09-29 09:27:58 UTC

niharika Darakapalli

2023-09-29 09:30:20 UTC

2023-09-29 09:33:24 UTC

Sum of Sales by Country and profit

Big Data and Business Intelligence Lab

d3688144 — 2023-09-29 09:33:28 UTC

week 1 D385702

d3857102 — 2023-09-29 09:38:27 UTC

D3840687 - Sukanya Avilineni (Week 1)

2023-09-29 09:42:40 UTC

D3868968- Sravani Boda (Week 1)

2023-09-29 09:42:42 UTC

Week 1 Activity 3 PowerBI Q2252114

2023-09-29 09:45:13 UTC

Hima Bindu Ande, Lab session-1

2023-09-29 09:45:31 UTC

Arepally Abhinash-Lab session 1

2023-09-29 09:45:36 UTC

Week 2 Activity

q2078619 — 2023-09-29 09:45:55 UTC

This is done by : Q2078619 - Akshay Kumar

srikanth-D3764039(week1)

d3764039 — 2023-09-29 09:47:24 UTC

Annavaram Sujith Reddy(D3895467)

2023-09-29 09:49:24 UTC

Covid Report

W9645582 - Akshaykumar Reddy Badwali - Week 01

2023-09-29 10:07:34 UTC

d3574618 vasudev week1

2023-09-29 10:07:56 UTC

W9095578 Emma Bates - Week 1 Activity 1

w9095578 — 2023-09-29 11:09:33 UTC

W9095578 Emma Bates - Week 1 Activity 2

w9095578 — 2023-09-29 11:10:50 UTC

Week 1 - Activity 1 Mathew Marron (P4029268)

Matimo123 — 2023-09-29 11:11:16 UTC

I tried to match the colours to the main colour on the flags

Hemanth Bandreddy

2023-09-29 11:13:04 UTC

Week 1 Activity 2 - Mathew Marron (P4029268)

Matimo123 — 2023-09-29 11:13:28 UTC

W9095578 Emma Bates - Week 1 Activity 3

w9095578 — 2023-09-29 11:13:31 UTC

Week 1 Activity 3 - Mathew Marron (P4029268)

Matimo123 — 2023-09-29 11:15:11 UTC

Sravan Week 1 - Sales Dashboard

2023-09-29 11:16:56 UTC

W9636618- Akhilkumar Week-1

2023-09-29 11:21:24 UTC

shamhal week 1

2023-09-29 11:23:18 UTC

POWERBItask

D3520925 -Ahsan Week 2 Activity 3

2023-09-29 11:24:08 UTC

shamhal week 1 lab session

2023-09-29 11:24:21 UTC

powerbi task

sruthy akhil_ week 1

2023-09-29 11:29:47 UTC

W9612836

2023-09-29 11:32:13 UTC

Activity 1

W9612836

2023-09-29 11:32:50 UTC

Activity 2

Week 1 lab session

d3777000 — 2023-09-29 11:37:37 UTC

Week 1

2023-09-29 11:44:23 UTC

Nataliia Ivanytska
S3032438

W9612836

2023-09-29 11:48:04 UTC

Activity 3

Week1-Weekly Covid-19 deaths with other causes of deaths-D3220766

2023-09-29 11:48:18 UTC

Week1-D3220766_Nalinika

W9636618-Akhilkumar week-1

2023-09-29 11:51:02 UTC

D3675465 MARY BANIN

2023-09-29 11:55:24 UTC

D3675465 MARY BANIN

Praneeth Avemulakonda [W9595432] - Week 1

praneetgoud06 — 2023-09-29 11:56:44 UTC

SHAILAJA BADDAM POWER BI LAB WEEK 1

shailajabaddam1998 — 2023-09-29 11:58:57 UTC

2023-09-29 11:59:28 UTC

nkechi chuku week1

d3196043 — 2023-09-29 12:03:09 UTC

D3684573- Activity 3: Causes of Covid deaths and other deaths by week

2023-09-29 12:03:20 UTC

Syed Nauman (c2931614) week 1 task lab session

c2931614 — 2023-09-29 12:05:57 UTC

Ageshin Grace Opeyemi D3339558

2023-09-29 12:05:57 UTC

Mary Atoyebi

2023-09-29 12:07:00 UTC

Mathew Marron - P4029268

Matimo123 — 2023-09-29 12:08:55 UTC

Summary of deaths in the north east of England as a result of Covid compared to other causes of death.

Mercy Kariuki-D3040021 (Week 1)

kariukimercie — 2023-09-29 12:10:55 UTC

Week1- TASK1-D3828735

2023-09-29 12:16:39 UTC

Activity3-''weekly deaths due to covid-19 compared to other causes''

Week 1 - Chukwuma Okafor

d3041895 — 2023-09-29 12:17:35 UTC

My first dashboard. Stressful but think I have the hang of basic navigations for Lab 01. I think I have completed the activity to a reasonable good start

Mercy Kariuki - D3040021 (Week 1) Superstore Sales/Profit Analysis

kariukimercie — 2023-09-29 12:22:49 UTC

Week 1 - James, Chiedozie James d3458961

JamesChiedozieJames_d3458961 — 2023-09-29 12:31:37 UTC

This is a completion of the activity for Week 1- activity 1 and 2. it was abit stressful but at the end I am glad I was able to navigate my way through. excited at my new journey of being a Data Scientist

Covid dataset

2023-09-29 12:44:30 UTC

Henry Nyinguro

Week 1 Lab- Ridwan Ogundeji

d3000496 — 2023-09-29 12:59:19 UTC

I tried to reproduce what I was taught

week-01-Adaeze Ogbonnaya-D3863705

d3863705 — 2023-09-29 13:34:03 UTC

First Business Intelligence Task. Its interesting but i was a bit tensed.

week 1/D3454613 Rita Usikaro

2023-09-29 13:41:40 UTC

Activity 1 @ Stephen

2023-09-29 13:43:07 UTC

Week 1_D3604210. Covid 19 deaths visualisation

MissKamara — 2023-09-29 13:46:17 UTC

Mercy Kariuki - D3040021 Week1 Lab Big Data and Intelligence

kariukimercie — 2023-09-29 13:50:07 UTC

Mercy Kariuki - D3040021 (Week 1) Covid 19 Analysis

kariukimercie — 2023-09-29 13:58:30 UTC

Superstore data analysis

2023-09-29 14:22:02 UTC

Henry Nyinguro

Activity 2 @ Stephen

2023-09-29 16:58:06 UTC

Activity 3 @ Stephen

2023-09-29 17:32:09 UTC

TU-Lab-Wk1-PBi (Samson Adeyemi-d3310898)

2023-09-29 17:49:09 UTC

A stacked column chart showing the number of death caused by covid19 and "other causes" for week 1-18, using the covid csv data set.

Lavanya Sannapaneni - W1

w9611567 — 2023-09-29 20:37:28 UTC

A stacked column chart showing weekly based number of death caused by covid

TU-Lab-wk1-PBi(Samson Adeyemi-D3310898)

d3310898 — 2023-09-29 21:48:52 UTC

A stacked column chart analyzing the number of death caused by Covid19 and "Other causes", using the the covid csv data set

Yaswanth Sai Chinthakayala - W9640628 - Week 1

w9640628 — 2023-09-30 00:12:05 UTC

Data Analysis was done on COVID-19. Various features are considered and represented as visuals to gain insights.

Chukwuma Okafor - D3041895 Week 1 Lab.

2023-09-30 19:45:47 UTC

A stacked column chart visualizing an analysis on the cause of death with Covid-19 as the reference

TU-Lab-wk1

2023-09-30 19:56:12 UTC

Week 01 (Friday Lecture)

2023-09-30 22:40:10 UTC

b1862739 — 2023-09-30 23:04:37 UTC

This shows the Average Number of deaths and their causes. This data indicates that the sum of over 51% of deaths take place in the hospital. Over 39% of deaths are Covid and more than 100% are other causes of deaths

COVID Data- Rodiyah Oluwa

2023-10-01 11:18:35 UTC

WEEK_01_LAB_ADIMI_PATRICK_D3562703

d3562703 — 2023-10-01 13:47:11 UTC

The first diagram analyze the summation of death by causes of death in a pie chart while the second diagram which is a clustered bar chart analyses the number of death caused others and Covid 19
Patrick Adimi

WEEK_01A_LAB_ADIMI_PATRICK_D

d3562703 — 2023-10-01 13:53:19 UTC

This is stacked column chart explaining the causes of death by week
Patrick Adimi

WEEK_01C_LAB_ADIMI_PATRICK_D

d3562703 — 2023-10-01 13:55:21 UTC

week Big data and business Intelligence

c2441395 — 2023-10-01 15:30:59 UTC

Big Data and Business Intelligence

c2441395 — 2023-10-01 15:33:09 UTC

D3713600

d3713600 — 2023-10-01 15:57:24 UTC

C2441395

c2441395 — 2023-10-01 16:09:58 UTC

D3713600

d3713600 — 2023-10-01 17:00:24 UTC

D3713600

d3713600 — 2023-10-01 17:36:07 UTC

Albert_Week 1 (Activity 2)

2023-10-01 18:46:54 UTC

D3196043 Week 1 Activity 2

2023-10-01 19:20:13 UTC

d3077427 — 2023-10-01 20:50:23 UTC

activity 1-3

2023-10-01 21:37:08 UTC

2023-10-01 21:37:47 UTC

D3780284 Week 1 (1&2)

2023-10-01 21:43:25 UTC

D3780284 Week 2 (3)

2023-10-01 21:44:04 UTC

Week 1 lab activity by W9629423

w9629423 — 2023-10-02 09:44:22 UTC

W9629423 week 2 Lab Activity

w9629423 — 2023-10-02 10:32:50 UTC

week 2 task1 bhavana yalavarthi D3591118

2023-10-02 10:37:20 UTC

WEEK2 TASK1

Week2 Lab

q2160145 — 2023-10-02 10:37:36 UTC

week 2 task2 bhavana yalavarthi D3591118

2023-10-02 10:37:58 UTC

week 2 task2

Week2 Task 2

q2160145 — 2023-10-02 10:38:28 UTC

week2 - w9605191

w9605191 — 2023-10-02 10:53:29 UTC

week 2 - w9605191

w9605191 — 2023-10-02 10:54:00 UTC

Nikhil_D3637265

d3637265 — 2023-10-02 10:56:16 UTC

Vijay_D3722378

2023-10-02 10:56:51 UTC

Ruchitha Bollena - W9602985 - Task_03

w9602985 — 2023-10-02 10:58:41 UTC

The main challenge here is to display all the values on X axis as shown above

Week1 Activity1- d3591118 bhavana yalavarthi

2023-10-02 11:04:08 UTC

Week1 Activity1- d3591118 bhavana yalavarthi

Week1 Activity2- d3591118 bhavana yalavarthi

2023-10-02 11:04:34 UTC

Week1 Activity2- d3591118 bhavana yalavarthi

Week1 Activity3- d3591118 bhavana yalavarthi

2023-10-02 11:04:51 UTC

Week1 Activity3- d3591118 bhavana yalavarthi

mahesh_week1-task3

2023-10-02 11:06:20 UTC

Mahesh_week2_task2

2023-10-02 11:08:32 UTC

W9616562-WEEK2 TASK3

2023-10-02 11:08:36 UTC

D3787937-week02(vamsi reddy)task01

2023-10-02 11:08:42 UTC

Thota Sai ram- week2

2023-10-02 11:09:01 UTC

Mahesh_week2_task1

2023-10-02 11:09:33 UTC

Sai ram Thota- week 2.1

2023-10-02 11:09:35 UTC

Thota Sairam- week-2.2

2023-10-02 11:10:34 UTC

Week 1(Task 3_Covid Data)_D3160239_Wilson Semanhyia

2023-10-02 11:10:47 UTC

W9616562-ABBU TASK2(WEEK2)

2023-10-02 11:11:38 UTC

d3787937-week02(vamsireddy)task02

2023-10-02 11:11:51 UTC

d3787937-week02(vamsireddy)task03

2023-10-02 11:12:41 UTC

W9616562-ABBU TAKS2(WEEK2)

2023-10-02 11:12:45 UTC

W9616562-WEEK2(TASK1)

2023-10-02 11:15:37 UTC

Week 1(Task 3) Covid Data_D3160239

d3160239 — 2023-10-02 11:35:00 UTC

Wilson Semanhyia

TU-Lab-1-PBi - Yating Yang

d3386701 — 2023-10-02 11:46:20 UTC

TU-Lab-1-PBi - Yating Yang

d3386701 — 2023-10-02 11:47:08 UTC

Week 1(Task 1)

d3160239 — 2023-10-02 11:58:59 UTC

Wilson Semanhyia

Week 1(Task 2)

d3160239 — 2023-10-02 12:03:33 UTC

Wilson Semanhyia

W9629423 week 2 task 2

2023-10-02 12:09:22 UTC

w9635033

2023-10-02 12:22:43 UTC

Week 1_Activity 1

q2376292 — 2023-10-02 12:29:31 UTC

Week 1_Activity 2

q2376292 — 2023-10-02 12:30:11 UTC

Week 1_Activity 3

q2376292 — 2023-10-02 12:30:44 UTC

D3773367

2023-10-02 12:37:08 UTC

Week 2 Task 1

q2464827 — 2023-10-02 12:37:30 UTC

TU-Lab-1-PBi - Yating Yang

d3386701 — 2023-10-02 12:37:41 UTC

week 2 task 2

q2464827 — 2023-10-02 12:38:48 UTC

02/10/2023 - first project - Brendan Nwabichie

c2491761 — 2023-10-02 12:38:55 UTC

02/10/2023 - 2nd project - Brendan Nwabichie

c2491761 — 2023-10-02 12:39:50 UTC

Muhammad Ahmed Hassan

2023-10-02 12:46:42 UTC

Vadla Anil

2023-10-02 12:48:05 UTC

02/10/23- Task 2 Komal Khan

d3648186 — 2023-10-02 12:49:14 UTC

02/10/23 Task 2 (2) Komal Khan

d3648186 — 2023-10-02 12:51:40 UTC

WEEK 2 TASK 2 : MERIN MARIYA MICHAEL-D3737729

merinmariyamichael — 2023-10-02 12:57:20 UTC

WEEK 2 TASK 2- MERIN MARIYA -D3737729

merinmariyamichael — 2023-10-02 13:02:35 UTC

week 2-Jisna-D3741715

2023-10-02 13:05:35 UTC

JISNA-TASK 2

2023-10-02 13:05:52 UTC

Monday Lab - Week 2

2023-10-02 13:16:12 UTC

Lakshmi Priyanka Palam
W9627799

Monday Lab - Week2

2023-10-02 13:19:49 UTC

Aishwarya Kwadli
W9628226

2023-10-02 13:26:11 UTC

W9623063-Movva Siri Chandana

Monday Lab- Week 2

2023-10-02 13:28:36 UTC

Week 2 Lab

w9619321 — 2023-10-02 13:34:41 UTC

w9619321 Anvitha Karnakanti

Week 2 Lab

w9626334 — 2023-10-02 13:36:08 UTC

W9626334 - Srujana Killi

w9622282

w9622282 — 2023-10-02 13:37:42 UTC

Week2 - W9611172 - Aishwarya Vishwanath

w9611172 — 2023-10-02 13:39:34 UTC

WEEK 2 LAB - MONDAY

w9630337 — 2023-10-02 13:47:38 UTC

Sowjanya Kumari Kukkala
W9630337

w9622282

w9622282 — 2023-10-02 13:48:08 UTC

Week 2 lab - Monday-Part1

d3897342 — 2023-10-02 13:51:12 UTC

Nikita Dandwate-D3897342

Week 2 lab - Monday-Part2

d3897342 — 2023-10-02 13:52:06 UTC

Nikita Dandwate - D3897342

Week 2 - Akshay Kumar - Q2078619

q2078619 — 2023-10-02 13:52:50 UTC

Week 2 Task 2 -Zhenghang Wang A0550985

a0550985 — 2023-10-02 13:53:19 UTC

Week 1_Dechen Dema

2023-10-02 13:53:26 UTC

Week 2 - Akshay Kumar - Q2078619

q2078619 — 2023-10-02 13:53:26 UTC

Week 2 lab monday

2023-10-02 13:54:40 UTC

Nissy Paleti
w9615420

week2_task1

2023-10-02 13:54:51 UTC

Week1 - Ogunsola olusegun

c2727356 — 2023-10-02 13:55:36 UTC

Week 2 Task 1 - Zhenghang Wang A0550985

a0550985 — 2023-10-02 13:56:40 UTC

2023-10-02 13:57:37 UTC

Week2 Task 1 (C2700320)

2023-10-02 13:57:56 UTC

Srivalli assment-lab -1assesment

2023-10-02 13:59:21 UTC

Week 2 Monday Lab

2023-10-02 13:59:31 UTC

Dharshan Muppidi- w9610236

srivalli lab assement -2

2023-10-02 13:59:47 UTC

Umair khan ID: Q2268906

q2268906 — 2023-10-02 13:59:48 UTC

2023-10-02 14:00:26 UTC

The weekly death due to covid 19 compared to other causes. (Week 1, Activity 3).

d3004476 — 2023-10-02 14:04:53 UTC

Week-1-Lab-1-Covid Visuals- Ridwan Ogundeji

d3000496 — 2023-10-02 14:04:55 UTC

I tried to replicate the covid-19 visual task given.

2023-10-02 14:05:24 UTC

ADEFILA EBENEZER OLUSEYI POWERBI2 WEEK 2

2023-10-02 14:10:17 UTC

Week 1 - Gokul_Sivarasu_W9615619

w9615619 — 2023-10-02 14:47:44 UTC

D3785076 Week 2_Task 1_Ex_1 : Shedrack Ojochegbe Abu

d3785076 — 2023-10-02 15:09:14 UTC

W9615619-Gokul Sivarasu - Week 2 - Task 1

w9615619 — 2023-10-02 15:26:16 UTC

D3785076 Week 2_Task 1_Ex_2 : Shedrack Ojochegbe Abu

d3785076 — 2023-10-02 15:33:37 UTC

W9615619-Gokul Sivarasu - Week 2 - Task 2

w9615619 — 2023-10-02 15:36:50 UTC

W9617439-Sunka Sindhura Week 2- Task 1

w9617439 — 2023-10-02 15:38:51 UTC

W9621061-Rehan week2

w9621061 — 2023-10-02 15:39:47 UTC

W9611141- Nidhi Patel Week-2

w9611141 — 2023-10-02 15:39:49 UTC

W9617439- Sunka Sindhura - Week 2 -Task 2

w9617439 — 2023-10-02 15:40:05 UTC

W9617439-Sunka Sindhura- Week 1 - Task

w9617439 — 2023-10-02 15:43:08 UTC

W9611141-Nidhi Patel Week-1

w9611141 — 2023-10-02 15:44:49 UTC

w29611567- Lavanya Sannapaneni

w9611567 — 2023-10-02 15:49:20 UTC

w29611567 - Lavanya Sannapaneni

w9611567 — 2023-10-02 15:49:44 UTC

W9624428 Prashanth Pogu (Week2)

w9624428 — 2023-10-02 15:52:02 UTC

W9624428 Prashanth Pogu (Week2)

w9624428 — 2023-10-02 15:52:41 UTC

w9621061-Rehan -Week 2

w9621061 — 2023-10-02 15:54:03 UTC

W9640673 Patnam Deepika Week 2

patnamdeepika99 — 2023-10-02 15:59:44 UTC

W9640673 Patnam Deepika Week 2

patnamdeepika99 — 2023-10-02 16:01:28 UTC

W9613363 Harshini Vankayalapati

w9613363 — 2023-10-02 16:05:46 UTC

week-2

W9613363-Harshini Vankayalapati

w9613363 — 2023-10-02 16:16:01 UTC

D3797651 Vaibhav Kumar Maheshbhai Bhalani (Week 2)

d3797651 — 2023-10-02 19:53:54 UTC

D3797651 Vaibhav Kumar Maheshbhai Bhalani (Week 2)

d3797651 — 2023-10-02 19:58:04 UTC

W9626578 - Week 1

w9626578 — 2023-10-03 12:17:57 UTC

W9609937 week 1

w9609937 — 2023-10-03 12:30:40 UTC

w9649249 — 2023-10-03 12:40:29 UTC

D3356728 week 1 Sylvester Okogbe

D3356728 — 2023-10-03 12:42:20 UTC

w9609937 week2

w9609937 — 2023-10-03 12:43:33 UTC

w9609937 week2

w9609937 — 2023-10-03 12:43:42 UTC

WEEK 2 PRODUCTS

2023-10-03 13:07:14 UTC

D3722574-Shashidhar Reddy Surakanti

WEEK2 PRODUCTS

2023-10-03 13:08:22 UTC

D3722574-Shashidhar Reddy Surakanti

Week2 - Set1 (Products)

2023-10-03 13:12:04 UTC

D3840711 - Pravallika Sunkireddy

Week2 - Set2 (Products)

2023-10-03 13:12:38 UTC

D3840711 - Pravallika Sunkireddy

Week 1 - COVID19

2023-10-03 13:13:40 UTC

D3840711 - Pravallika Sunkireddy

D3713088-Neethu Varghese

d3713088 — 2023-10-03 13:37:52 UTC

D3713088-Neethu Varghese

d3713088 — 2023-10-03 13:39:19 UTC

D3773367-rajitha

2023-10-03 13:41:27 UTC

D3658893 - Arifa Saeed

d3658893 — 2023-10-03 13:42:00 UTC

D3658893 - Arifa Saeed

d3658893 — 2023-10-03 13:42:34 UTC

Week2-c2191409_Ibrahim Musah

c2191409 — 2023-10-03 13:45:19 UTC

q2547489 — 2023-10-03 13:46:26 UTC

Fulbright

SAMPATH GOUD SITAGARI-W9639185

sitagarisampath19 — 2023-10-03 13:50:43 UTC

W9643793-HARINI PEDDINENI week2 report1

2023-10-03 13:52:42 UTC

W9643793-HARINI PEDDINENI week2 report2

2023-10-03 13:53:10 UTC

Week 2 -P Ravali (W9645616)

w9645616 — 2023-10-03 13:53:21 UTC

Week 2 Task D3903038

d3903038 — 2023-10-03 13:53:26 UTC

Chandana Pabbireddy - Week 2 - Report1

2023-10-03 13:53:34 UTC

W9643793-HARINI PEDDINENI week2 report3

2023-10-03 13:53:39 UTC

Chandana Pabbireddy- Week 2 - Report 2

2023-10-03 13:53:55 UTC

Week 2 task D3903038

d3903038 — 2023-10-03 13:53:56 UTC

Chandana Pabbireddy - Week 2 - Report 3

2023-10-03 13:54:25 UTC

WEEK 1 -IDOWU OBISANYA

c2861872 — 2023-10-03 13:54:40 UTC

Lab practice for week 1-Student ID C2861872
IDOWU OBISANYA

D3640243-Meghana Potluri

d3640243 — 2023-10-03 13:55:18 UTC

2023-10-03 13:55:29 UTC

week-1-Lab-1-Covid Visuals- Haseeb Ullah

D3713088-Neethu Varghese

d3713088 — 2023-10-03 13:55:54 UTC

Covid task report D3903038

d3903038 — 2023-10-03 13:55:56 UTC

p.jani basha d3773336

pathanjanibasha456 — 2023-10-03 13:56:16 UTC

jani basha d3773336

pathanjanibasha456 — 2023-10-03 13:58:35 UTC

week 1-lab1-temitayo-qq2162972

2023-10-03 13:59:02 UTC

W919835 - Paul Shail Lab 2 Exercises

2023-10-03 14:02:04 UTC

d3000623-Samuel Adjei

d3000623 — 2023-10-03 14:06:16 UTC

d3000623-Samuel Adjei

d3000623 — 2023-10-03 14:17:07 UTC

OMIJIE PRECIOUS TASK 2

2023-10-03 15:49:49 UTC

OMIJIE PRECIOUS TASK 2. i

2023-10-03 15:50:42 UTC

A0029748- Edmund Odoom

2023-10-03 15:51:31 UTC

A0029748- Edmund Odoom

2023-10-03 15:51:53 UTC

Rita Ureh - D3620214

2023-10-03 16:23:12 UTC

Rita Ureh D3620214

2023-10-03 16:25:07 UTC

Okafor Edozie D3565865

d3565861 — 2023-10-03 16:26:12 UTC

Okafor Edozie D3565865

d3565861 — 2023-10-03 16:26:39 UTC

SYLVESTER OKOGBE activity 1

2023-10-03 16:33:08 UTC

Rita Ureh -D3620214

2023-10-03 16:34:05 UTC

d3565861 — 2023-10-03 16:42:16 UTC

Sylvester Okogbe activity 2

2023-10-03 17:34:25 UTC

2023-10-03 18:03:08 UTC

w9618722 — 2023-10-03 19:08:26 UTC

WEEK01_W9641667

w9641667 — 2023-10-03 19:11:20 UTC

week02_W9641667

w9641667 — 2023-10-03 19:38:09 UTC

Somoye Adetunji Kayode- D3108611 (Week 1)

d3108611_ — 2023-10-04 09:34:54 UTC

2023-10-04 11:09:07 UTC

2023-10-04 11:09:55 UTC

2023-10-04 11:10:39 UTC

2023-10-04 11:11:13 UTC

TU-Lab-Week1-PBi [Konda Reddy T]

c2994587 — 2023-10-04 13:05:58 UTC

Week1 Part 1 - Super Store Data Analysis (C2994587)

TU-Lab-Week1 -PBi [Konda Reddy T]

c2994587 — 2023-10-04 13:07:07 UTC

Week 1 part 2 - Covid Data Analysis (C2994587)

D3863705 Adaeze Ogbonnaya Week 1 lab section assessment

2023-10-04 13:42:00 UTC

TU-Lab-Week2-PBi [Konda Reddy T- C2994587]

c2994587 — 2023-10-04 15:25:37 UTC

Week 2 part 2

Somoye Adetunji Kayode (D3108611): Lab Session Week 1 - Activity 1

d3108611_ — 2023-10-04 15:36:55 UTC

Countries with the Highest Superstore Sales (Before & After applying data visualization principles in full effect)

Somoye Adetunji Kayode (D3108611): Lab Session Week 1 - Activity 2

d3108611_ — 2023-10-04 16:52:28 UTC

Somoye Adetunji Kayode (D3108611): Lab Session (Week 1)- Activity 3

d3108611_ — 2023-10-04 17:43:36 UTC

PowerBI- Week1 Activity

d3892701_ — 2023-10-04 19:51:21 UTC

Andrew Powell

t7191599 — 2023-10-05 08:15:53 UTC

C2724865 - OLUYEMI KEMIKI TASK

2023-10-05 09:05:21 UTC

W9626578 - Week 2

w9626578 — 2023-10-05 09:19:54 UTC

d3663842 - Ibrahim Bankole Week 2 (Lab session) - Task 2

d3663842_ — 2023-10-05 09:41:50 UTC

Top 10 products
Products purchased per country
price purchased per product

2023-10-05 09:41:51 UTC

Week 2 Lab - Martin N

d3690224 — 2023-10-05 09:42:18 UTC

Adefunke Okezie C2657813- week 2, Task 1

c2657813 — 2023-10-05 09:45:24 UTC

Adefunke Okezie C2657813- Week 2, Task 2

c2657813 — 2023-10-05 09:48:04 UTC

Syeda maria

w9607241_ — 2023-10-05 09:50:32 UTC

week2_Raji Mathew

w9601197_ — 2023-10-05 09:54:08 UTC

Nikita_Workshop2_ Product Trends

d3618787_ — 2023-10-05 09:54:11 UTC

Task2

week2_Raji Mathew

w9601197_ — 2023-10-05 09:54:35 UTC

week2_shaik{powerBI}

2023-10-05 09:56:16 UTC

2023-10-05 09:58:07 UTC

Week2_Mani

Week 2

d3576809 — 2023-10-05 10:02:01 UTC

ajayimartin001_ — 2023-10-05 10:03:30 UTC

D337221. kabiru kelas . week 2

d3376221_ — 2023-10-05 10:07:53 UTC

Yuvraj Week 2 -Task 1

yuvrajharyan — 2023-10-05 10:08:29 UTC

Olanrewaju Charles- Week 2

olanrewajucharles2014 — 2023-10-05 10:08:37 UTC

Yuvraj week 2 - Task 2

yuvrajharyan — 2023-10-05 10:08:50 UTC

Week 1 Lab - Causes of Deaths

d3295977 — 2023-10-05 10:36:52 UTC

week 1 covid exercise(d3243066)

d3243066 — 2023-10-05 10:42:23 UTC

Seun: Activity by self. COVID

2023-10-05 10:43:33 UTC

finally figured it out. Thanks to Steve and Rodiyah

TU-Lab-Week2 -PBi [Konda Reddy T - C2994587]

c2994587 — 2023-10-05 11:15:08 UTC

Week 2- part 1

Covid-19 UK Regional Dashboard

gourleyd42dg — 2023-10-05 11:23:46 UTC

Covid-19 UK Regional Dashboard

Suliat Olayiwola: Task 2

2023-10-05 11:56:25 UTC

D3797651 Vaibhavkumar Maheshbhai Bhalani week2

d3797651 — 2023-10-05 12:59:06 UTC

W9644062 (week 01)

w9644062_ — 2023-10-05 13:03:36 UTC

week2 d3445103

d3445103 — 2023-10-05 13:19:25 UTC

Akhila Gaddam(W9617714)

2023-10-05 13:43:14 UTC

Week2 - Q2108864 - 01

2023-10-05 13:51:49 UTC

Dashboard 1

Muhammad Safyan week 2 power bi work

2023-10-05 13:52:47 UTC

Week2 - Q2108864 - 02

2023-10-05 13:53:08 UTC

susmitha- top selling products

2023-10-05 13:53:24 UTC

Mounika - Top Selling Products

2023-10-05 13:54:47 UTC

Muhammad top selling products

2023-10-05 13:55:07 UTC

harikrishna spain top selling product

2023-10-05 13:55:16 UTC

Akash Ibna Habib (week 02-Charts1)

w9599931 — 2023-10-05 13:57:51 UTC

Akash Ibna Habib (week 02-Charts2)

w9599931 — 2023-10-05 13:58:32 UTC

Deborah Q2045080

q2045080 — 2023-10-05 14:17:06 UTC

week 2 Task 1

Junaid Ahmed Khan_C2783899_Task 1

2023-10-05 14:21:50 UTC

Junaid Ahmed Khan_C2783899_Task 2

2023-10-05 14:23:18 UTC

B1708734 - Prince Ikah

B1708734 — 2023-10-05 14:24:39 UTC

Week 2 Task 1

c2257509

c2257509 — 2023-10-05 14:28:38 UTC

w9604176 - Agnes Francis

w9604176 — 2023-10-05 14:34:05 UTC

1. Sum of Line total by month
2. Sum of Quantity by Product name

w9604176 - Agnes Francis

w9604176 — 2023-10-05 14:36:59 UTC

1. Sum of Line total by ship country
2. Sum of Line total by product name

c2276953 — 2023-10-05 14:45:38 UTC

FADIPE OLUBUNMI

c2276953 — 2023-10-05 14:52:05 UTC

SUM OF LINE TOTAL BY MONTH

Activity01

w9621119 — 2023-10-05 15:07:46 UTC

Week 2 Lab_D3160239

d3160239 — 2023-10-05 20:38:43 UTC

Week 2(Lab)_D3160239

d3160239 — 2023-10-05 20:59:44 UTC

Week: 01 | Activity 01

d3688144 — 2023-10-06 07:17:31 UTC

Week: 01 | Activity 02

d3688144 — 2023-10-06 07:18:27 UTC

week 2(Lab) D3689145 Nnabugwu Amaefula

d3689145 — 2023-10-06 09:17:57 UTC

Week 2(Lab) D3689145 Nnabugwu Amaefula

d3689145 — 2023-10-06 09:19:09 UTC

week 1 D3689145 Nnabugwu Amaefula

d3689145 — 2023-10-06 09:28:42 UTC

Week 2 Lab - W9088390 Melvin Manoj

2023-10-06 09:37:19 UTC

pavansandeep-d3654679

d3654679 — 2023-10-06 09:42:11 UTC

pavansandeep-d3654679

d3654679 — 2023-10-06 09:42:45 UTC

siddhartha reddy-D3621057

d3621057 — 2023-10-06 09:48:26 UTC

week2 Friday

2023-10-06 09:50:14 UTC

Umair Memon C2697101

D3892701-Week 2 task

2023-10-06 09:50:27 UTC

D3737750 - Week 2 lab

d3737750 — 2023-10-06 09:51:15 UTC

week 2

d3857102 — 2023-10-06 09:51:49 UTC

Shawon Deb Nath D3857102

srikanth-D3764039(week-2)

2023-10-06 09:52:28 UTC

Big Data and Business Intelligence

2023-10-06 09:53:42 UTC

navin

week 2 friday

d3000623 — 2023-10-06 09:54:51 UTC

Samuel Adjei- D3000623

D3797651 VaibhavKumar Maheshbhai Bhalani week2

2023-10-06 09:55:31 UTC

Usama Bin Aamir-D3592171

2023-10-06 09:56:44 UTC

week 2 lab sandeep

2023-10-06 09:58:15 UTC

week 2 friday

d3542107 — 2023-10-06 09:58:39 UTC

Lanlokun Lanrewaju
D3542107

Week 2 (Lab)

d3390687 — 2023-10-06 10:05:18 UTC

Ayegbusi Priscilla(D3390687)

Week 2 (Lab)

d3390687 — 2023-10-06 10:07:57 UTC

Ayegbusi Priscilla (D3390687)

q2038211 — 2023-10-06 10:09:36 UTC

q2038211 — 2023-10-06 10:10:55 UTC

Wisdom (Q2038211)

WEEK2 FRIDAY

d3459168 — 2023-10-06 10:12:20 UTC

d3459168 NJIDEKA LINDA DIKE

MARVELLOUS AMADI

2023-10-06 10:14:07 UTC

D3446836

D3008580 Esther MAKANJUOLA

abimbolaarewa — 2023-10-06 10:21:36 UTC

D3008580 ESTHER MAKANJUOLA

abimbolaarewa — 2023-10-06 10:23:33 UTC

D3008580 ESTHER MAKANJUOLA

abimbolaarewa — 2023-10-06 10:24:27 UTC

D3333789_Chede Edward

2023-10-06 10:25:39 UTC

D3296301 ANITA UKWU WEEK 2

abimbolaarewa — 2023-10-06 10:28:36 UTC

D3296301 ANITA UKWU WK 2

abimbolaarewa — 2023-10-06 10:29:39 UTC

D3296301 ANITA UKWU WEEK 1

abimbolaarewa — 2023-10-06 10:31:16 UTC

sruthy akhil - w9607595

w9607595_ — 2023-10-06 11:00:05 UTC

week 2

2023-10-06 11:12:52 UTC

Jimi Patel
D3777000

week 2

2023-10-06 11:13:09 UTC

W9095578 Emma Bates - Week 2 Activity 1

w9095578 — 2023-10-06 11:13:49 UTC

W9095578 Emma Bates - Week 2 Activity 2

w9095578 — 2023-10-06 11:14:53 UTC

Mathew Marron - P4029268 Week 2 Task 1

Matimo123 — 2023-10-06 11:17:06 UTC

Mathew Marron - P4029268 Week 2 Task 2

Matimo123 — 2023-10-06 11:17:47 UTC

Nataliia Ivanytska - S3032438 Week 2 task 2

2023-10-06 11:31:34 UTC

Nataliia Ivanytska - S3032438Week 2 task 1

2023-10-06 11:33:54 UTC

d3520925_ — 2023-10-06 11:36:18 UTC

D3520925 ---- Week 2 Lab

D3684573 - Isyaka Ahmed Jibrin Week 2 Lab task 1

2023-10-06 11:39:18 UTC

Rita Usikaro -D3454613 week 2 lab Task

2023-10-06 11:44:15 UTC

Rita Usikaro -D3454613 Week 2 Lab Task

2023-10-06 11:46:37 UTC

D3828735_SUMAYYA_WEEK2

2023-10-06 11:49:48 UTC

week 2 lab

w9613978_ — 2023-10-06 11:50:41 UTC

w9613978 shamhal

W9585866

2023-10-06 11:51:41 UTC

D3684573 - Isyaka Ahmed Jibrin Week 2 Lab task 2

2023-10-06 11:51:55 UTC

W9612836

2023-10-06 11:52:23 UTC

W9612836

2023-10-06 11:52:45 UTC

sruthy akhil - w9607595

w9607595_ — 2023-10-06 11:53:16 UTC

Mercy Kariuki - D3040021 - Week2 - Products Analysis - 1995 to 1998

2023-10-06 11:54:13 UTC

week 2 Lab (c2931614) Syed Nauman

2023-10-06 12:01:26 UTC

lab session 2

Abbas Ahmad c2877145 week 2 lab

2023-10-06 12:02:55 UTC

Week 2 - D3220766 - Nalinika

2023-10-06 12:03:12 UTC

Samuel Agboola-B1752458

2023-10-06 12:05:32 UTC

Sales Analysis

Week 01 | Task

d3688144 — 2023-10-06 12:06:41 UTC

Week 2_D3604210 - Products Report

MissKamara — 2023-10-06 12:13:38 UTC

Joined 2 different data tables together to create business report dashboard.

Ankita Ashok Chavan (W9609171) - Week 1 (1)

w9609171 — 2023-10-06 12:19:45 UTC

Here is my first share in the padlet from the Week 1 lab session showing the data with two types of graphs where the comparison is made showing the `before` and `after` and how the two graphs are used in different way in order to understand the data more efficiently.

Ankita Ashok Chavan ( W9609171) Week - 1 (2)

w9609171 — 2023-10-06 12:33:07 UTC

This comparison shows how easy it becomes to study and understand the data when applying the filters.

Ankita Ashok Chavan (W9609171) - Week 1 (3)

w9609171 — 2023-10-06 13:30:26 UTC

So this task was about adding the labels on the x-axis. So we can add the counts in visualization under x-axis column and then we can add the filter on the graph itself by selecting sort it to ascending.

Laraib Fatima(D3688144) - Week 02 Activity: 01

d3688144 — 2023-10-06 13:47:45 UTC

Laraib Fatima (D3688144) - Week 02 Activity 02

d3688144 — 2023-10-06 13:48:59 UTC

Week 2-Lab Task-Ridwan Ogundeji

2023-10-06 13:50:42 UTC

I tried to replicate the lab session task and added some spices as well😊

Ankita Ashok Chavan (W9609171) - Week 2 - Task 1 (1)

w9609171 — 2023-10-06 14:30:51 UTC

Here in this chart, two files have been used in order to retrieve some columns from both and display the desired data.

Mary Atoyebi D3007455 Week 2

2023-10-06 14:37:14 UTC

Ankita Ashok Chavan (W9609171) - Week 2 - Task -1 (2)

w9609171 — 2023-10-06 15:11:53 UTC

WEEK 1 D3459168 NJIDEKA LINDA DIKE

d3459168 — 2023-10-06 17:05:24 UTC

TU-LAB-PBi-wk2-Samson Adeyemi-D3310898

d3310898 — 2023-10-06 17:06:35 UTC

Yaswanth Sai Chinthakayala - W9640628 - Week1

w9640628 — 2023-10-07 00:02:08 UTC

Analysis was done on two datasets, First one is Product sales and the other is Hawk data analysis.

Week 2(first practice)

d3142202 — 2023-10-07 11:44:01 UTC

Week 2(Second practice)

d3142202 — 2023-10-07 13:45:14 UTC

POWER BI ICA LAB WORK CIS4008-N-BF1-2023

My_School_id_D3533587 — 2023-10-07 19:11:35 UTC

Somoye Adetunji Kayode (D3108611): Lab Session (Week 2)

d3108611_ — 2023-10-07 19:47:35 UTC

1. Quantity by Product Name: The top 10 best selling products can be obtained from the chart.

2. Line Total by Month: The months where we need to target our attention on include: April, January, March and February.

3. Line Total by Ship country: Where most of the global sales come from can be seen.

4. Ship Country by Line Total: The 5 countries bringing the highest revenue can be obtained here.

Week 1 - Practice Tasks

faheematwork841 — 2023-10-07 19:57:37 UTC

Week 1- Activity (D3612705) Mohammad Faheem Altaf

faheematwork841 — 2023-10-07 22:15:29 UTC

week 1 (C2953566) Zainab Abdul-loko :lab session

c2953566_ — 2023-10-07 23:07:30 UTC

Week-2 Task-1 (D3612705)- Mohammad Faheem Altaf

faheematwork841 — 2023-10-07 23:37:48 UTC

Week_02(Ruchitha Bollena - W9602985)

w9602985 — 2023-10-09 09:59:01 UTC

In this task we are using multiple data sources and combining it together to create interesting, compelling data analyses and visualizations.

Week_02(Ruchitha Bollena - W9602985)

w9602985 — 2023-10-09 09:59:46 UTC

In this task we are using multiple data sources and combining it together to create interesting, compelling data analyses and visualizations.

Week3 Activity1 D3591118 Bhavana Yalavarthi

d3591118 — 2023-10-09 10:13:47 UTC

Week3 Activity1 D3591118 Bhavana Yalavarthi

Week3 Activity2 D3591118 Bhavana Yalavarthi

d3591118 — 2023-10-09 10:14:09 UTC

Week3 Activity2 D3591118 Bhavana Yalavarthi

Week 3 activity Thota Sai ram-D3675166

2023-10-09 10:16:33 UTC

D3787937-week03(vamsireddy)

2023-10-09 10:17:14 UTC

D3787937-week03(vamsireddy)

2023-10-09 10:17:58 UTC

Week 03 - Activity 1

d3840711 — 2023-10-09 10:57:52 UTC

D3840711 - Pravallika Sunkireddy

week 3 by w9605191 (FarhaNaaz Abdul)

w9605191 — 2023-10-09 10:58:53 UTC

Week 03 - Activity 2

d3840711 — 2023-10-09 10:59:25 UTC

D3840711 - Pravallika Sunkireddy

week 3 - Activity 2 - w9605191(Farha Naaz Abdul)

w9605191 — 2023-10-09 11:00:01 UTC

2023-10-09 11:08:30 UTC

week 1 D3903021 SRI LAKSHMI NARAYANA

mahesh_week3_task1

maheshthunuguntla123_ — 2023-10-09 11:16:36 UTC

mahesh_week3_task2

maheshthunuguntla123_ — 2023-10-09 11:17:02 UTC

Rodiyah Oluwa- D3127027

d3127027_ — 2023-10-09 11:54:24 UTC

Activity3 week3 d3591118 bhavana yalavarthi

d3591118 — 2023-10-09 11:56:55 UTC

Activity3 week3 d3591118 bhavana yalavarthi

WEEK 3 MONDAY LAB ACTIVITY

b1970805_ — 2023-10-09 11:58:07 UTC

D3787937-week03(vamsireddy)

2023-10-09 11:58:11 UTC

WEEK 3 - B1970805 ERNEST AGYEI

b1970805_ — 2023-10-09 11:59:26 UTC

Robertson Ojeka Owulo (C2514628)

2023-10-09 11:59:30 UTC

Somoye Adetunji (D3108611): Lab Session (Week 3)

d3108611_ — 2023-10-09 12:26:52 UTC

Lab Session WK3 - TaskA

q2464827 — 2023-10-09 12:35:29 UTC

Lab Session WK3 - TaskB

q2464827 — 2023-10-09 12:36:17 UTC

D3008580 ESTHER MAKANJUOLA WK3 TASK 1

2023-10-09 12:40:47 UTC

D3008580 ESTHER MAKNJUOLA WK3 TASK 1

2023-10-09 12:41:24 UTC

09/10/2023 Komal Khan (Task A)

khankomal1995_ — 2023-10-09 12:46:49 UTC

Chukwuma Okafor - D3041895

d3041895 — 2023-10-09 12:47:07 UTC

Solution to the business questions using different charts.

09/10/2023 Komal Khan (Task A (2))

khankomal1995_ — 2023-10-09 12:47:09 UTC

week3 D37377-MERIN MARIYA

merinmariyamichael — 2023-10-09 12:51:24 UTC

9/10/2023

Q2195192 Utseoritselaju Maleghemi Week 3 Lab session

q2195192_ — 2023-10-09 12:51:48 UTC

Somoye Adetunji (D3108611): Lab Session (Week 3)

d3108611_ — 2023-10-09 12:52:23 UTC

D3741715-Jisna

jisnajoy555_ — 2023-10-09 12:52:34 UTC

WEEK3-D3737729-MERIN MARIYA

merinmariyamichael — 2023-10-09 12:52:58 UTC

Q2195192 Utseoritselaju Maleghemi Week 3 Lab session

q2195192_ — 2023-10-09 12:53:11 UTC

D3741715 - Jisna

jisnajoy555_ — 2023-10-09 12:53:15 UTC

Week 2 Monday lab

w9635198 — 2023-10-09 12:58:39 UTC

Alinta Mathew Myladiyil - W9635198

Week 2 - Dechen Dema

2023-10-09 13:15:42 UTC

Week 2 - Dechen Dema

2023-10-09 13:16:36 UTC

RUFUS (C2676906) WEEK 3 LAB SESSION

c2676906 — 2023-10-09 13:19:41 UTC

RUFUS(C2676906) WEEK 3 SECOND TASK

c2676906 — 2023-10-09 13:20:21 UTC

W9633914-Saikrupa

w9633914_ — 2023-10-09 13:24:31 UTC

W9633914-saikrupa

w9633914_ — 2023-10-09 13:24:58 UTC

q2259850_ — 2023-10-09 13:25:19 UTC

Week 1 activity ( Sadaur Rahman) Q2259850

w9635033-SRIGOKUL BHARADWAJ S

2023-10-09 13:27:33 UTC

W9622880 Shetty Shriya

2023-10-09 13:28:55 UTC

Week 3 Task 1 - A0550985 Zhenghang Wang

a0550985 — 2023-10-09 13:32:18 UTC

Week 1 Lab Task Q2259850 (Sadaur Rahman)

q2259850_ — 2023-10-09 13:32:26 UTC

W9623647-Praveen Rayankula

2023-10-09 13:32:41 UTC

Week 2 : Task 1 - W9606817 Amal Mathew

w9606817 — 2023-10-09 13:34:51 UTC

Week 2 : Task 2 - W9606817 Amal Mathew

w9606817 — 2023-10-09 13:36:05 UTC

TU-Lab-2-PBi [Yating Yang]

d3386701 — 2023-10-09 13:39:09 UTC

Lab2-1

TU-Lab-2-PBi [Yating Yang]

d3386701 — 2023-10-09 13:39:28 UTC

Week 3 : Task 1 - W9606817 Amal Mathew

w9606817 — 2023-10-09 13:40:16 UTC

Week 3 : Task 1 A - W9606817 Amal Mathew

w9606817 — 2023-10-09 13:41:54 UTC

Week-2(W9624325)

w9624325 — 2023-10-09 13:46:24 UTC

d3008580 esther makanjuola TASK 1 A

d3008580_ — 2023-10-09 13:48:30 UTC

task 1 b D3008580 esther makanjuola

d3008580_ — 2023-10-09 13:49:14 UTC

Week 1: Lab 1 - C2888413 Chukwuemeka Ude

emmyalexjnr — 2023-10-09 13:50:55 UTC

siddhartha reddy- D3621057

d3621057 — 2023-10-09 13:51:12 UTC

Nikita Dandwate-D3897342

d3897342 — 2023-10-09 13:51:26 UTC

Week03-Netflix_DataSet_Task01

siddhartha reddy- D3621057

d3621057 — 2023-10-09 13:51:44 UTC

week 3(W9622615) Dasari Bandhavi

w9622615_ — 2023-10-09 13:52:23 UTC

Nikita Dandwate-D38973542

d3897342 — 2023-10-09 13:52:30 UTC

Week03-Netflix_DataSet_Task2

vamshi krishna- w9633536

w9633536_ — 2023-10-09 13:53:32 UTC

Nikita Dandwate-D3897342

d3897342 — 2023-10-09 13:53:57 UTC

Week03-Netflix_DataSet_Data Analytics

w9611172 - week3 - Aishwarya Vishwanath

w9611172 — 2023-10-09 13:54:50 UTC

https://padlet.com/w9611172/aishwarya-s-padlet-nuq2zyly3e5oimnh

Monday week 3 lab

w9627799_ — 2023-10-09 13:57:01 UTC

Lakshmi Priyanka Palam - W9627799

week3

marrimahesh2001 — 2023-10-09 13:57:12 UTC

Week 3- D3296301- Anita Ukwu

d3296301_ — 2023-10-09 13:58:18 UTC

d3008580 wk 3 task 1 A

d3008580_ — 2023-10-09 14:00:26 UTC

https://padlet.com/d3008580_/d3008580-esther-makanjuola-yqv4dsdbud8ksx77/wish/2738132999

week 3-w9629382-mahesh

marrimahesh2001 — 2023-10-09 14:00:33 UTC

POWERBI WEEK3

d3742840 — 2023-10-09 14:02:35 UTC

ADEFILA EBENEZER POWERBI WEEK 3

d3008580_ — 2023-10-09 14:04:52 UTC

https://padlet.com/d3008580_/d3008580-esther-makanjuola-yqv4dsdbud8ksx77/wish/2738127965

POWERBI

d3742840 — 2023-10-09 14:28:10 UTC

ADEFILA EBENEZER POWERBI WEEK3

POWER BI

d3742840 — 2023-10-09 14:28:58 UTC

POWER BI

d3742840 — 2023-10-09 14:29:56 UTC

ADEFILA EBENEZER POWER BI WEEK 3

Week 3(W9624325) - Lab 3

2023-10-09 15:02:24 UTC

Week - 2 (W9639855) - Lab 2

w9639855 — 2023-10-09 15:04:20 UTC

Week - 3 (W9639855) - Lab 3

w9639855 — 2023-10-09 15:06:46 UTC

W9615619 - Gokul Sivarasu - Week 3

2023-10-09 15:30:26 UTC

NIKHIL VANGALA -W9628927 WEEK - 3 C1

vangalanikhil318_ — 2023-10-09 15:33:08 UTC

Patnam Deepika W9640673 Challenge 1

2023-10-09 15:34:14 UTC

Patnam Deepika W9640673 Challenge 1

2023-10-09 15:34:30 UTC

NIKHIL VANGALA-W9628927 WEEK 3 LAB

vangalanikhil318_ — 2023-10-09 15:34:34 UTC

Week-3 (W9611141)- Nidhi Patel

w9611141 — 2023-10-09 15:36:33 UTC

Krishna chaitanya Sannidhi -w9632009

w9632009_ — 2023-10-09 15:37:12 UTC

Prashanth Pogu_W9624428(Week3)

2023-10-09 15:44:36 UTC

week3 - 1: w9611567- Sannapaneni Lavanya

w9611567 — 2023-10-09 15:45:39 UTC

week 3 -2 : w9611567 Lavanya Sannapaneni

w9611567 — 2023-10-09 15:46:15 UTC

laxmikanth reddy cherukupalli {D3747962}week 3

d3747962_ — 2023-10-09 15:50:09 UTC

d3785076 — 2023-10-09 15:52:58 UTC

w9608369 mohansai sundarasetty

2023-10-09 15:54:36 UTC

W9617439-Sunka Sindhura- week 3 Task

w9617439 — 2023-10-09 15:55:06 UTC

w9608369 mohansai sundarasetty

2023-10-09 15:56:00 UTC

PASALA SRIRAM WEEK 3

w9633495_ — 2023-10-09 15:58:55 UTC

PASALA SRIRAM WEEK 3

w9633495_ — 2023-10-09 16:00:17 UTC

W9613363 Vankayalapati Harshini

w9613363 — 2023-10-09 16:03:26 UTC

W9638469 Darshini thummalapally

2023-10-09 16:03:37 UTC

W9613363 Harshini Vankayalapati

w9613363 — 2023-10-09 16:04:14 UTC

w9638469 darshini thummalaplly

2023-10-09 16:04:14 UTC

week 3

w9613370 rajesh sure

2023-10-09 16:05:12 UTC

w9613370 rajesh sure

2023-10-09 16:05:48 UTC

Akhila G - W9617714

2023-10-09 18:08:44 UTC

W9617178 - Week 1 Lab

w9617178 — 2023-10-09 18:38:06 UTC

W9617178 - Week 2 Lab

w9617178 — 2023-10-09 18:42:02 UTC

Chukwuma Okafor _ D3041895

d3041895 — 2023-10-09 18:52:52 UTC

Happy to learn and practice more

Chukwuma Okafor - D3041895

d3041895 — 2023-10-09 18:56:28 UTC

Second charts

Anusha Gaddam_W9624019 - Week 1 Lab

w9624019_ — 2023-10-09 20:21:47 UTC

Anusha Gaddam_W9624019 - Week 1 Lab

w9624019_ — 2023-10-09 20:24:47 UTC

Anusha Gaddam_W9624019 - Week 1 Lab

w9624019_ — 2023-10-09 20:26:34 UTC

w9615750-week1- activity1

w9615750 — 2023-10-09 20:58:45 UTC

w9615750-week1-activity2

w9615750 — 2023-10-09 20:59:23 UTC

w9615750-week1-activity3

w9615750 — 2023-10-09 20:59:53 UTC

OMIJIE PRECIOUS-WEEK 3: Activity1

2023-10-09 21:11:56 UTC

week 3 netflix

d3722574 — 2023-10-09 21:13:04 UTC

D3722574-Shashidhar Reddy Surakanti

Week-3(W9626334) Srujana Killi

w9626334 — 2023-10-09 22:04:20 UTC

Syeda Maria

2023-10-10 09:54:46 UTC

Khalimat Nwaoko

b1862739 — 2023-10-10 10:41:58 UTC

This task uses data from tv shows and movies available on Netflix

week 3 lab activity W9629423

2023-10-10 12:06:10 UTC

week 3 lab activity (W9629423)

2023-10-10 12:06:33 UTC

Week 2 - Lab Task 1

franksonimala — 2023-10-10 13:05:02 UTC

I created a dashboard that addressed the following business inquiries:

1. Top 10 selling products
2. Sum of unit price by month
3. Top 10 sum of line total by country

D3713088 - Neethu Varghese

d3713088 — 2023-10-10 13:49:23 UTC

c2191409_ — 2023-10-10 13:53:58 UTC

c2191409_ — 2023-10-10 13:54:09 UTC

Henry Nyinguro

q2547489 — 2023-10-10 13:56:35 UTC

Henry Nyinguro

q2547489 — 2023-10-10 13:56:59 UTC

D3903038-week 3 task 1

d3903038 — 2023-10-10 13:57:37 UTC

D3903038-week 3 task2

d3903038 — 2023-10-10 13:58:14 UTC

Md Hasan Mia

d3863750_ — 2023-10-10 13:58:30 UTC

Mahesh Kumar - W9612135 Lab Activity

w9612135_ — 2023-10-10 13:58:35 UTC

d3863750_ — 2023-10-10 13:58:48 UTC

D3903038-Task 3 week 3

d3903038 — 2023-10-10 13:59:29 UTC

Average line tab is not available in my machine

SAMPATH GOUD SITAGARI-W9639185

sitagarisampath19 — 2023-10-10 14:00:16 UTC

Week 3 - Chandana Pabbireddy - D3854381

2023-10-10 14:00:25 UTC

Week 3 - Chandana Pabbireddy - 2

2023-10-10 14:00:59 UTC

w9643793 week3-1 harini peddineni

2023-10-10 14:03:05 UTC

w9643793 week3-2 harini peddineni

2023-10-10 14:03:20 UTC

d3773367

d3773367 — 2023-10-10 14:04:54 UTC

week 3- 1 d3614099

2023-10-10 14:05:53 UTC

week 3- 2 d3614099

2023-10-10 14:06:11 UTC

dhananjay patancheru- d3673865

2023-10-10 14:08:24 UTC

Sai Ram Paka(D3201518)

2023-10-10 14:08:48 UTC

Sai Ram Paka(D3201518)

2023-10-10 14:09:24 UTC

pavan sai singirigalla w9647371

w9647371 — 2023-10-10 14:09:36 UTC

q2375435

2023-10-10 14:11:41 UTC

Q2375435

2023-10-10 14:12:17 UTC

week 3 lab W9623537

w9623537_ — 2023-10-10 14:18:37 UTC

week 3 lab w9623537

w9623537_ — 2023-10-10 14:19:03 UTC

Mahesh Kumar - W9612135

2023-10-10 14:25:54 UTC

Mahesh Kumar - W9612135

2023-10-10 14:26:17 UTC

W9609937-Shiva Baikani

2023-10-10 14:50:29 UTC

W9609937-Shiva Baikani

2023-10-10 14:51:00 UTC

W9636412- Week 3 Lab Task 1

2023-10-10 14:53:34 UTC

W9636412 - Week 3 Lab task 1

2023-10-10 14:54:05 UTC

w9641966- week 3 lab task 1

2023-10-10 14:54:54 UTC

W9636412- Week 3 Lab task 1

2023-10-10 14:54:56 UTC

w9641966- week 3 lab task 1

2023-10-10 14:55:14 UTC

w9641966- week 3 lab task 1

2023-10-10 14:55:26 UTC

TU-Lab-01 [Muftau Lawal - D3588051]

d3588051_ — 2023-10-10 14:58:46 UTC

TU-Lab-03 [Muftau Lawal - D3588051]

d3588051_ — 2023-10-10 15:01:05 UTC

TU-Lab-02 [Muftau Lawal - D3588051]

d3588051_ — 2023-10-10 15:04:09 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-10-10 15:46:36 UTC

Excited to carry out this activity and I think I am becoming a good Data Scientist

W9617178-Week 3 Lab-Task 1

w9617178 — 2023-10-10 16:06:29 UTC

W9626578 - Covid Week - 1

w9626578 — 2023-10-10 16:17:22 UTC

W9617178-Week 1->Activity 3 (Covid)

w9617178 — 2023-10-10 16:20:20 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-10-10 16:53:55 UTC

Excited to carry out this activity for week 2 as I learnt new stuffs.

Week 3_PBI_Lab_OBISANYA IDOWU_C2861872

c2861872 — 2023-10-10 22:04:52 UTC

Projects by Brendan Nwabichie (C2491761)

c2491761 — 2023-10-10 22:16:20 UTC

c2953566_ — 2023-10-10 22:27:20 UTC

POWER BI LAB SESSION by OMIJIE PRECIOUS (D3742060)

d3742060_ — 2023-10-10 22:49:34 UTC

D3876381

2023-10-11 11:16:27 UTC

project by chetan(D3876381)

2023-10-11 11:17:11 UTC

(d3708132) SUdha Lokesh

2023-10-11 11:29:02 UTC

(D3708132) Sudha Lokesh

2023-10-11 11:29:57 UTC

ekmoroz99_ — 2023-10-11 11:51:22 UTC

ekmoroz99_ — 2023-10-11 11:53:08 UTC

Olena Moroz - 30 minutes

ekmoroz99_ — 2023-10-11 11:53:31 UTC

Olena Moroz - 25 minutes

ekmoroz99_ — 2023-10-11 13:15:05 UTC

25 minutes

Week 2 Task 1.2

ekmoroz99_ — 2023-10-11 13:16:04 UTC

25 minutes

C2724865 - OLUYEMI KEMIKI

c2724865 — 2023-10-11 13:44:26 UTC

Somoye Adetunji Kayode (D3108611)

d3108611_ — 2023-10-11 13:55:23 UTC

Somoye Adetunji (D3108611): Lab Session (Week 3) - Dashboard for Netflix Dataset

d3108611_ — 2023-10-11 14:24:35 UTC

Somoye Adetunji (D3108611): Lab Session (Week 3) - Data Analytics Task- Netflix Dataset

d3108611_ — 2023-10-11 14:25:03 UTC

Data Analytics Task- Netflix Dataset

week 1

c2931614 — 2023-10-11 14:27:09 UTC

syed

week 1

c2931614 — 2023-10-11 14:27:36 UTC

syed

week 1

c2931614 — 2023-10-11 14:27:51 UTC

syed

week 1

c2931614 — 2023-10-11 14:28:05 UTC

syed

week 1

c2931614 — 2023-10-11 14:28:54 UTC

syed

Week 1 Task 1 Patnam Deepika(W9640673)

2023-10-11 14:41:12 UTC

D3004476 Damilola Akinsola

d3004476 — 2023-10-11 14:42:28 UTC

d3004476 — 2023-10-11 14:43:00 UTC

d3004476 — 2023-10-11 14:43:19 UTC

d3004476 — 2023-10-11 14:43:40 UTC

d3004476 — 2023-10-11 14:43:54 UTC

Week 1_ Task 1_ D3536212_

naveenettadi — 2023-10-11 15:41:10 UTC

week1_ task1_Narendar Kannaiahgari(D3935721)

kannnaiahgarinarendar191 — 2023-10-11 15:46:57 UTC

(

TU-Lab-03 [Muftau Lawal - D3588051]

d3588051_ — 2023-10-11 17:19:48 UTC

W9626578 Week 3

2023-10-12 09:21:21 UTC

W9601197_Raji Mathew

2023-10-12 09:23:29 UTC

W9626578 - Week 3

w9626578 — 2023-10-12 09:23:35 UTC

W9601197_Raji Mathew

2023-10-12 09:24:13 UTC

Week_3_Nikita_Challenge_D3618787

d3618787_ — 2023-10-12 09:42:16 UTC

Week3_Lab Challenge_VG(C2767606)_Netflix Dataset

c2767606 — 2023-10-12 09:46:16 UTC

BI Lab_Challenge

OLANREWAJU CHARLES (D3002144): Dashboard for Netflix Dataset (Week 3)

olanrewajucharles2014 — 2023-10-12 09:46:24 UTC

W9626578 - Week 3 - Challenge 2

w9626578 — 2023-10-12 09:49:38 UTC

Akhila Gaddam - w9617714

2023-10-12 09:52:08 UTC

Akhila Gaddam - w9617714

2023-10-12 09:52:47 UTC

Anusha Gaddam - w9624019_Lab-3

2023-10-12 09:53:31 UTC

Anusha Gaddam_w9624019 -Lab-3

2023-10-12 09:54:43 UTC

D3663842 IBRAHIM BANKOLE (WEEK 3 LAB) NETFLIX DATA

d3663842_ — 2023-10-12 09:55:19 UTC

Week 3: Chigozie Godwin (c2407247) - Netflix Title Visualization by Country, year, and duration

2023-10-12 09:58:25 UTC

Muni Sai (W9628068)

munisaichenna — 2023-10-12 09:59:04 UTC

Week 03 - Challenge Task - Yuvraj Haryan

2023-10-12 10:00:28 UTC

Adefunke Okezie C2657813 Week 3, Task 1

c2657813 — 2023-10-12 10:00:40 UTC

Week_3

d3690224 — 2023-10-12 10:01:26 UTC

Adefunke Okezie C2657813 Week 3, Task 2 & 3

c2657813 — 2023-10-12 10:02:04 UTC

Adefunke Okezie C2657813 Week 3, Task 1

c2657813 — 2023-10-12 10:04:00 UTC

Adefunke Okezie C2657813 Week 3, Task 2 & 3

c2657813 — 2023-10-12 10:04:45 UTC

Week 2_Task 1_ D3536212

naveenettadi — 2023-10-12 12:44:18 UTC

Week2_Task1_(D3935721)_Narendar Kannaiahgari

kannnaiahgarinarendar191 — 2023-10-12 12:46:33 UTC

Week2_TASK1 (D3674419)

bhavanidasari225 — 2023-10-12 12:46:33 UTC

ekmoroz99_ — 2023-10-12 13:39:39 UTC

45 minutes

ekmoroz99_ — 2023-10-12 13:39:58 UTC

40 minutes

C2931614 Syed Nauman

snauman786_ — 2023-10-12 13:51:10 UTC

Lab 3 week 3

c2931614 Syed Nauman

snauman786_ — 2023-10-12 13:52:08 UTC

Lab 3 week 3

C2931614 Syed Nauman

snauman786_ — 2023-10-12 13:52:39 UTC

Week 3 lab 3

Muhammad Safyan

2023-10-12 13:56:16 UTC

Week-3: Grace

2023-10-12 13:57:01 UTC

B12153326 Madonna - Week 3 Star Schema

b1215326 — 2023-10-12 13:57:39 UTC

B1215326 Madonna - Week 3 lab session Map chart

b1215326 — 2023-10-12 13:59:17 UTC

Week-3 Grace

2023-10-12 13:59:33 UTC

susmitha week 3

2023-10-12 14:00:14 UTC

SAI RAM PAKA (D3201518)

2023-10-12 14:02:28 UTC

week 3 Mounika

2023-10-12 14:03:00 UTC

SAI RAM PAKA (D3201518)

2023-10-12 14:03:08 UTC

2023-10-12 14:05:05 UTC

PATURU RAMKIRAN REDDY WEEK 3

d3708132(sudhalokesh)

2023-10-12 14:10:36 UTC

d3708132(sudhalokesh)

2023-10-12 14:11:08 UTC

d3708132(sudhalokesh)

2023-10-12 14:11:37 UTC

c2257509 — 2023-10-12 14:18:19 UTC

Q2045080

q2045080 — 2023-10-12 14:26:30 UTC

Q2045080

q2045080 — 2023-10-12 14:28:09 UTC

week 3 challenge 2

B1708734 - Prince Ikah

B1708734 — 2023-10-12 14:31:57 UTC

C2724865

c2724865 — 2023-10-12 14:35:09 UTC

https://padlet.com/c2724865/my-sublime-padlet-97hi9tjydeqf48l6/wish/2743743067

C2724865

c2724865 — 2023-10-12 14:36:46 UTC

Akash Ibna Habib (W9599931)

w9599931 — 2023-10-12 14:37:58 UTC

Fadipe olubunmi (C2276953)

c2276953 — 2023-10-12 14:41:03 UTC

C2724865

c2724865 — 2023-10-12 14:41:10 UTC

FADIPE OLUBUNMI (C2276953)

c2276953 — 2023-10-12 14:42:08 UTC

C2783899_Junaid Ahmed Khan_Map

junaiddkhann123_ — 2023-10-12 14:58:28 UTC

C2783899_Junaid Ahmed Khan_Chart

junaiddkhann123_ — 2023-10-12 14:59:03 UTC

c2791205 MUHAMMAD RAHAT KHANA

rahatkhattak50_ — 2023-10-12 14:59:43 UTC

C279120 Muhammad Rahat khan

rahatkhattak50_ — 2023-10-12 15:01:48 UTC

D3617913_Ramya Kurapati_week02-1

2023-10-12 17:59:07 UTC

d3939804 task2

nikhilkotnala44_ — 2023-10-12 18:01:43 UTC

d3939804

nikhilkotnala44_ — 2023-10-12 18:02:05 UTC

d3939804 week1

nikhilkotnala44_ — 2023-10-12 18:04:25 UTC

d3939804 week1

nikhilkotnala44_ — 2023-10-12 18:04:47 UTC

D3617913_Ramya Kurapati_week02-2

2023-10-12 18:09:28 UTC

D3562703_ADIMI_PATRICK_WEEK_2A

d3562703 — 2023-10-12 23:10:01 UTC

D3562703_ADIMI_PATRICK_WEEK2B

d3562703 — 2023-10-12 23:12:23 UTC

D3562703_ADIMI_PATRICK_WEEK2C

d3562703 — 2023-10-12 23:14:59 UTC

Product analysis

D3562703_ADIMI_PATRICK_WEEK3A

d3562703 — 2023-10-12 23:16:12 UTC

D3562703_ADIMI_PATRICK_WEEK3B

d3562703 — 2023-10-12 23:17:05 UTC

Netflix Analysis

Week 2

d3295977 — 2023-10-13 03:51:09 UTC

D3533587 Week 3

My_School_id_D3533587 — 2023-10-13 07:48:16 UTC

W9088390 - Week 3 . Task 1.1

2023-10-13 08:58:16 UTC

Priyanka Gudem D3901263 week 1

2023-10-13 09:10:09 UTC

Priyanka Gudem D3901263 week 02

2023-10-13 09:39:04 UTC

lanlokun lanrewaju d3542107

2023-10-13 09:42:09 UTC

q2038211 — 2023-10-13 09:49:15 UTC

Ankita Ashok Chavan (W9609171) - Week 3 - Task 1

w9609171 — 2023-10-13 09:51:27 UTC

Bhavya Muppalla W9606109 Week 3 Task 1

2023-10-13 09:54:42 UTC

Nagarjun W9634135

2023-10-13 09:55:01 UTC

w9194835 - Week 3 Task 1.1

w9194835_ — 2023-10-13 09:56:26 UTC

Muhammad Bakhtiar c2732130

c2732130_ — 2023-10-13 09:57:04 UTC

The screen shots of the tasks have been uploaded.

Samuel Adjei - D3000623

d3000623 — 2023-10-13 09:57:46 UTC

D3797651 week3

d3797651 — 2023-10-13 09:59:44 UTC

D3764039 week03

2023-10-13 10:00:06 UTC

D3715451(Nikitha Mandagiri)

d3715451_ — 2023-10-13 10:00:17 UTC

d3939804 week3

2023-10-13 10:00:17 UTC

D3857102 week3

2023-10-13 10:00:39 UTC

Malavika (D3892701)

2023-10-13 10:00:44 UTC

d3939804 week3

2023-10-13 10:01:48 UTC

Mani(w9631974)

2023-10-13 10:03:12 UTC

marvellous Amadi D3446836

2023-10-13 10:03:17 UTC

D3617913_Ramya Kurapati_week03-1

2023-10-13 10:04:01 UTC

week 3 (D3709023) Pravalika kothuri

2023-10-13 10:04:39 UTC

2023-10-13 10:04:51 UTC

week 3 Priscilla Ayegbusi (D3390687)

d3390687 — 2023-10-13 10:05:17 UTC

Priscilla Ayegbusi (D3390687)

D3689145 Nnabugwu Amaefula

d3689145 — 2023-10-13 10:06:17 UTC

shiva W9638957

shivakrish2724262_ — 2023-10-13 10:06:17 UTC

ADEOLA OLUSEGUN CHARLES(D3121928)

2023-10-13 10:08:32 UTC

W9611189

w9611189 — 2023-10-13 10:10:28 UTC

D3459168 NJIDEKA LINDA DIKE WEEK 3

d3459168 — 2023-10-13 10:12:42 UTC

Week 1_ Task 2- Covid_D3536212

naveenettadi — 2023-10-13 11:05:20 UTC

D3688144 Laraib Fatima Week 03 task 01

d3688144 — 2023-10-13 11:37:32 UTC

Week 03 | Task 02

d3688144 — 2023-10-13 11:40:37 UTC

Week 3 - D3840687_ Avilineni Sukanya

2023-10-13 11:56:36 UTC

W9612836

w9612836_ — 2023-10-13 12:00:51 UTC

w9585866 week 3

2023-10-13 12:02:29 UTC

Week 3 Task 1 - W9607526

w9607526 — 2023-10-13 12:04:37 UTC

week 3 Task 1.1-W9607526

w9607526 — 2023-10-13 12:05:23 UTC

w9607595 - sruthy akhil

2023-10-13 12:09:01 UTC

sruthy akhil

2023-10-13 12:09:27 UTC

B1752458- Samuel Agboola

2023-10-13 12:25:49 UTC

D3533587 Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 12:32:53 UTC

D3533587 Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 12:33:39 UTC

D3533587 (Week 2) Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 12:34:28 UTC

D3533587 (Week 3) Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 12:50:34 UTC

D3533587 (Week 3) Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 12:51:11 UTC

D3863705-Adaeze Agozie Ogbonnaya (Week)

2023-10-13 12:57:28 UTC

Chukwuma Okafor - D3041895 week 3 Lab

d3041895 — 2023-10-13 13:10:34 UTC

Found it a little difficult to add the average line, till I was guided. It happened that I was using a wrong chart.

Chukwuma Okafor - D3041895 week 3 lab practice

d3041895 — 2023-10-13 13:16:03 UTC

It was exhilarating to create this. Especially due to the several data cleaning that we had to do.

Week 3_ Power BI task

q2376292 — 2023-10-13 15:29:28 UTC

Week 2_Power BI task

q2376292 — 2023-10-13 15:30:45 UTC

Data Analytics - Netflix Dataset

2023-10-13 15:40:53 UTC

D3722574-Shashidhar Reddy Surakanti

Week 1_Task2_ Narendar Kannaiahgari(D3935721) Covid

kannnaiahgarinarendar191 — 2023-10-13 18:08:28 UTC

D3533587 (Week 1) Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 22:27:16 UTC

D3533587 (Week 1) Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 22:29:19 UTC

D3533587 (Week 1) Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 22:32:13 UTC

D3533587 (Week 1) Uzoemeka Okechukwu Innocent

D3533587 — 2023-10-13 22:34:01 UTC

Week 3_Task 1_Model View_D3536212

naveenettadi — 2023-10-14 00:09:00 UTC

Week 3_Task 1_D3536212

naveenettadi — 2023-10-14 00:09:27 UTC

D3935721 week3__task1 Narendar Kannaiahgari

kannnaiahgarinarendar191 — 2023-10-14 00:13:44 UTC

Ellen's Wk1 Lab Activity

2023-10-14 02:46:00 UTC

I finally had a go, and here goes my tentative results :)

Ellen's Wk1 Lab Activity 2

2023-10-14 03:43:11 UTC

Did it again! Though I'll have to admit this took a lot of mind work and effort...

Week01 Task 01(D3674419)

bhavanidasari225 — 2023-10-14 10:44:01 UTC

Nikita Dandwate

d3897342 — 2023-10-14 10:54:19 UTC

Nikita Dandwate

d3897342 — 2023-10-14 10:55:12 UTC

Week 1 Task 2 (D3674419)

bhavanidasari225 — 2023-10-14 12:13:49 UTC

week 03 Task01(D3640865)

tom93816 — 2023-10-14 12:19:29 UTC

Week 02 Task01 (d3640865)

tom93816 — 2023-10-14 12:25:47 UTC

D3617913_Ramya Kurapati_week03.2

2023-10-14 14:59:11 UTC

w9617329_niharika darakapalli_week 03

2023-10-14 14:59:57 UTC

D3617913_Ramya Kurapati_Week03.2

kurapatiramya01 — 2023-10-14 15:12:50 UTC

w9617329_niharika darakapalli_week 03

niharikadarakapalli94_ — 2023-10-14 15:16:51 UTC

week 2 Task (C2808600)

paulchukwuka9_ — 2023-10-14 15:52:20 UTC

C2670467 Oluseye Faloye

2023-10-14 21:49:07 UTC

Sum of Quantity by Product name

C2670467 Oluseye Faloye

2023-10-14 21:52:09 UTC

Sum of Line Total by Month

C2670467 Oluseye Faloye

2023-10-14 21:53:37 UTC

Sum of Line Total by Ship Country

C2670467 Oluseye Faloye

2023-10-14 21:54:52 UTC

Sum of Line Total by Ship Country

C2670467 Oluseye Faloye

2023-10-14 21:56:02 UTC

Sum of Line Total by Product name

C2670467 Oluseye Faloye

2023-10-14 21:57:36 UTC

Sum of Line Total by Ship Country

C2670467 Oluseye Faloye

2023-10-14 21:59:13 UTC

C2670467 Oluseye Faloye

2023-10-14 22:00:02 UTC

D3612705 - Mohammad Faheem Altaf

faheematwork841 — 2023-10-14 23:32:40 UTC

TU-Lab-week_1-PBi [Q2379257]

agbadahchibuzor — 2023-10-15 01:18:09 UTC

Week 2: Lab 1a - C2888413 Chukwuemeka Ude

emmyalexjnr — 2023-10-15 16:51:39 UTC

Week 2: Lab 1b - C2888413 Chukwuemeka Ude

emmyalexjnr — 2023-10-15 16:52:09 UTC

Week 2 task-W9615750

w9615750 — 2023-10-15 17:05:39 UTC

Week2 task-W9615750

w9615750 — 2023-10-15 17:06:20 UTC

TU-Week_1_(Q2379257)

2023-10-15 17:41:12 UTC

Week 3: Lab 3a - C2888413 Chukwuemeka Ude

emmyalexjnr — 2023-10-15 19:04:47 UTC

Week 3: Lab 3b - C2888413 Chukwuemeka Ude

emmyalexjnr — 2023-10-15 19:05:39 UTC

D3825206(week3 part1 and part2)

d3825206_ — 2023-10-15 21:06:52 UTC

Week 3 Task 1 - D3220766 - Nalinika

2023-10-15 21:13:35 UTC

C2953566 ZAINAB ABDUL-LOKO

c2953566_ — 2023-10-15 21:18:10 UTC

Nikhil_week3_D3637265

d3637265 — 2023-10-16 09:25:18 UTC

D3722378_vijay week3

2023-10-16 09:28:31 UTC

d3591118 bhavana yalavarthi week4 task

d3591118 — 2023-10-16 10:58:12 UTC

d3591118 bhavana yalavarthi week4 task

Week-3_ Anil Vadla

w9647096_ — 2023-10-16 11:04:20 UTC

Business Data Analysis Report. Week 4 task

c2068220_ — 2023-10-16 11:08:22 UTC

Week 4 task 1 to 3...

Nikhil_week4_D3637265

d3637265 — 2023-10-16 11:12:08 UTC

VIJAY_Week4 _D3722378

2023-10-16 11:15:46 UTC

d3708132 sudha lokesh

2023-10-16 11:28:51 UTC

d3708132 task 2

2023-10-16 11:29:30 UTC

week 4 task 1

q2259850_ — 2023-10-16 12:50:22 UTC

Week 03 D3901263_GUDEM PRIYANKA

2023-10-16 13:24:20 UTC

D3919679(Week3)

2023-10-16 13:30:29 UTC

W9635033

2023-10-16 13:49:14 UTC

D3621057-Siddhartha reddy(Week-04)

d3621057 — 2023-10-16 13:49:38 UTC

D3621057-siddhartha reddy(Week-04-02)

d3621057 — 2023-10-16 13:50:39 UTC

W9601166 Week4 Dashboard

2023-10-16 13:51:16 UTC

W9633914

2023-10-16 13:53:46 UTC

week04 task Dashboard

Week 4 Task 2 A0550985 Zhenghang Wang

a0550985 — 2023-10-16 13:54:37 UTC

2023-10-16 13:54:54 UTC

d3747948_ — 2023-10-16 13:54:57 UTC

Kusuma Mekathoti
D3747948
Week 04

Week 4 Task 1 A0550985 Zhenghang Wang

a0550985 — 2023-10-16 13:55:18 UTC

k.vamshi krishna- w9633536

2023-10-16 13:57:43 UTC

week 1 lab

w9619424_ — 2023-10-16 13:57:46 UTC

Week 4 Dash board modelling - Guna Reddy vaidula(W9632133)

2023-10-16 13:58:49 UTC

Power Bi lab session week 4 task dash board modelling

W9641667_WEEK4

2023-10-16 13:59:27 UTC

week 2 lab

w9619424_ — 2023-10-16 13:59:48 UTC

W9615420(WEEK 4 )

2023-10-16 14:00:27 UTC

D3243877 KRISHNA VAMSI week - 4

2023-10-16 14:01:32 UTC

week 4 lab

w9619424_ — 2023-10-16 14:02:01 UTC

C2676906 week 4

c2676906 — 2023-10-16 14:06:29 UTC

TU-Lab-Week3-PBi [Konda Reddy T - C2994587]

c2994587 — 2023-10-16 14:43:34 UTC

Netflix Business Requirement.

W9615750-Week3 Task

w9615750 — 2023-10-16 14:48:03 UTC

W9596811_Vijay Week4 lab

2023-10-16 15:08:25 UTC

d3747962 _laxmikanth reddy_week 4

d3747962_ — 2023-10-16 15:11:15 UTC

Week 2 task2 by Fatima Iganya

2023-10-16 15:11:35 UTC

Week 2Task1 by Fatima Iganya

2023-10-16 15:13:33 UTC

Week2Task2 by Fatima Iganya

2023-10-16 15:19:26 UTC

Week3Task2 by Fatima Iganya

2023-10-16 15:24:02 UTC

WeeK1 Task1 by Fatima Iganya

2023-10-16 15:50:31 UTC

W9596811_Vijay Week3

2023-10-16 15:54:06 UTC

d37479620laxmikanth week 4

d3747962_ — 2023-10-16 15:56:13 UTC

Week3 Task3 by Fatima Iganya

2023-10-16 16:03:09 UTC

W9621119

2023-10-16 18:08:33 UTC

Siri Chandana Dhurjati

Nikita Dandwate

d3897342 — 2023-10-16 21:36:13 UTC

ADEOLA CHARLES (D3121928) WEEK ONE PROJECT

d3121928_ — 2023-10-16 22:53:42 UTC

16/10/2023 Komal Khan

khankomal1995_ — 2023-10-16 23:07:04 UTC

Week 3 - Lab Task

franksonimala — 2023-10-17 02:03:10 UTC

James, Chiedozie James - d3458961 Week 3

JamesChiedozieJames_d3458961 — 2023-10-17 09:36:39 UTC

I am excited to be able to achieve this. Looking forward to more exciting activities

week-3

d3777000 — 2023-10-17 10:51:39 UTC

D3777000

James, Chiedozie James - d3458961 Week 3

JamesChiedozieJames_d3458961 — 2023-10-17 11:45:30 UTC

Excited about the week tasks. Looking forward to next week.

week 2 Task

d3905212_ — 2023-10-17 12:30:23 UTC

17/1/02023 d3591314 mirza jamaal

2023-10-17 13:29:04 UTC

wek 4 task 1

WEEK4 TASK1 -W9639185 SAMPATH GOUD SITAGARI

sitagarisampath19 — 2023-10-17 13:34:19 UTC

d3658893 — 2023-10-17 13:50:27 UTC

Arifa Saeed (D3658893) - Week 3

jani basha d3773336

2023-10-17 13:55:14 UTC

Week 3 - Paladugula Ravali

w9645616 — 2023-10-17 13:57:03 UTC

Week 03 - TASK 3

2023-10-17 14:06:42 UTC

D3840711 - Pravallika Sunkireddy

Week3 - Task 3

2023-10-17 14:07:41 UTC

D3840711 - Pravallika Sunkireddy

w9608503_ — 2023-10-17 17:41:56 UTC

w9608503_ — 2023-10-17 17:42:43 UTC

w9608503_ — 2023-10-17 17:43:14 UTC

Week 4 task1 -D3903038

d3903038 — 2023-10-17 17:54:35 UTC

Week 4 task2-D3903038

d3903038 — 2023-10-17 17:55:15 UTC

week4 task3

d3903038 — 2023-10-17 17:56:00 UTC

d3773367-Rajitha Vaddempudi

d3773367 — 2023-10-17 18:08:01 UTC

d3773367-Rajitha Vaddempudi

d3773367 — 2023-10-17 18:09:14 UTC

d3773367-Rajitha Vaddempudi

d3773367 — 2023-10-17 18:09:59 UTC

ADEFILA EBENEZER WEEK 4 POWER BI

d3742840 — 2023-10-17 19:10:08 UTC

TASK1 -W9639185 SAMPATH GOUD SITAGARI

sitagarisampath19 — 2023-10-17 19:52:24 UTC

TASK-2 (W9639185) SAMPATH GOUD SITAGARI

sitagarisampath19 — 2023-10-17 23:03:51 UTC

TU-Lab-Week1-PBi BABALOLA EBENEZER Demo

2023-10-17 23:09:09 UTC

Hello world

TU-Lab-Week1-PBi BABALOLA EBENEZER Demo

2023-10-17 23:18:20 UTC

Coming soon

Week4_C2861872_Idowu OBISANYA

c2861872 — 2023-10-18 00:10:44 UTC

Solution to the Data Analytics questions (Part 3) of week 4 -Dashboard developed from the Business Data Model prepared by Idowu OBISANYA

c2727356 (week 1) ogunsola olusegun

c2727356 — 2023-10-18 05:00:40 UTC

2023-10-18 11:15:49 UTC

week 4 task

WEEK-4 TASK2 (W9639185) SAMPATH GOUD SITAGARI

sitagarisampath19 — 2023-10-18 13:42:40 UTC

WEEK4 TASK (W9639185) SAMPATH GOUD SITAGARI

sitagarisampath19 — 2023-10-18 13:43:57 UTC

D3737750-Jose Ankitha- Week 3 Lab

d3737750 — 2023-10-18 13:48:08 UTC

Nikita Dandwate

d3897342 — 2023-10-18 14:59:18 UTC

Somoye Adetunji (D3108611): Lab Session (Week 4)

d3108611_ — 2023-10-18 15:44:28 UTC

I have been able to build relationships between 4 models; a fact table (ProjectBudget) and three dimensions tables (CompanyEmployee, ProjectHours and CompanyProject)

Somoye Adetunji (D3108611): Lab Session (Week 4)

d3108611_ — 2023-10-18 15:44:40 UTC

After building relationships amongst the four models; a fact table (ProjectBudget) and three dimensions tables (CompanyEmployee, ProjectHours and CompanyProject), I used the outcome to develop this dasboard.

Week -2(W9622880)-shetty shriya

2023-10-18 16:09:52 UTC

2023-10-18 17:02:15 UTC

2023-10-18 17:04:08 UTC

Week 4 Business data 2

d3722574 — 2023-10-18 17:53:30 UTC

D3722574 - Shashidhar Reddy Surakanti

Week 4 - Business Data 1

d3722574 — 2023-10-18 17:55:11 UTC

D3722574 - Shashidhar Reddy Surakanti

TU-Lab-04 [Muftau Lawal - D3588051]

d3588051_ — 2023-10-18 18:07:17 UTC

Enjoy

D3787937-week04(vamsireddy)

2023-10-18 21:22:38 UTC

D3787937-week04task02(vamsi reddy)

2023-10-18 21:23:56 UTC

Yaswanth Sai Chinthakayala - Week 3-W9640628

w9640628 — 2023-10-19 00:03:27 UTC

Week-2 Bhavya Athmakuri(w9592484)

2023-10-19 08:17:59 UTC

week-3(Activity-1) Bhavya Athmakuri (w9592484)

2023-10-19 08:22:32 UTC

week-3(Task-2) Bhavya Athmakuri (w9592484)

2023-10-19 08:23:57 UTC

week-2(task-2)Bhavya Athmakuri (W9592484)

2023-10-19 08:24:48 UTC

WEEK 3 MARY BANIN D3685465

d3675465 — 2023-10-19 08:25:22 UTC

D3675465 MARY BANIN

WEEK 3 MARY BANIN D3675465

d3675465 — 2023-10-19 08:26:21 UTC

D3675465 MARY BANIN

WEEK 3 MARY BANIN D3675465

d3675465 — 2023-10-19 08:27:14 UTC

MARY BANIN D3675465

D3675465 WEEK 1 MARY BANIN

d3675465 — 2023-10-19 08:28:32 UTC

MARY BANIN D3675465

WEEK 1 MARY BANIN D3675465

d3675465 — 2023-10-19 08:29:37 UTC

D3675465 MARY BANIN

Week 1 lab

q2156726_ — 2023-10-19 09:12:27 UTC

week-2 Haswanth Sai(W9632164)

w9632164_ — 2023-10-19 09:17:12 UTC

week-3 task1 Haswanth Sai (W9632164)

w9632164_ — 2023-10-19 09:20:23 UTC

Week-3 task2 Haswanth Sai (W9632164)

w9632164_ — 2023-10-19 09:21:01 UTC

week 1 lab work

q2156726_ — 2023-10-19 09:21:17 UTC

I was able to do this visualization following the instructions given in the lab lesson.

week-4 power BI W9649562

w9649562_ — 2023-10-19 09:53:24 UTC

Mani(W4)

2023-10-19 09:57:12 UTC

week-4 Power Bi (WIP) D3663842

d3663842_ — 2023-10-19 09:58:19 UTC

Thursday week4 Nikita

d3618787_ — 2023-10-19 10:02:00 UTC

Week 4 task - w9635198

w9635198 — 2023-10-19 10:03:05 UTC

week 04

2023-10-19 10:04:58 UTC

Week4(d3445103)

d3445103 — 2023-10-19 10:56:03 UTC

Week 3 - Task 1 Alinta (W9635198)

w9635198 — 2023-10-19 11:36:31 UTC

Raji Mathew_W9601197_Week4

2023-10-19 11:53:26 UTC

Muhammad week 4

2023-10-19 13:36:31 UTC

Susmitha week-4

2023-10-19 13:37:12 UTC

Mounika week 4 work

2023-10-19 13:37:34 UTC

Uzoemeka Okechukwu Innocent D3533587 (Week 4 Lad Session)

2023-10-19 13:52:18 UTC

Uzoemeka Okechukwu Innocent D3533587 (Week 4 Lab Session)

2023-10-19 13:53:38 UTC

Week 3_Challenge_Netflix(D3160239_Wilson)

d3160239 — 2023-10-19 17:20:22 UTC

D3939804 week-4

2023-10-19 17:53:53 UTC

Q2207262- (MARTINS) WEEK 4 BUSINESS DATA 1

q2207262_ — 2023-10-19 18:52:17 UTC

WEEK 4 - TASK 2 MARTINS(Q2207262)

q2207262_ — 2023-10-19 18:54:58 UTC

Week 3 Lab Task-Ridwan Ogundeji

d3000496 — 2023-10-19 19:27:18 UTC

This is my report's first page

Arerpally Abhinash

w9639147_ — 2023-10-20 08:23:12 UTC

Arepally Abhinash

w9639147_ — 2023-10-20 08:24:44 UTC

Week 3 Lab work-Ridwan Ogundeji

d3000496 — 2023-10-20 08:48:32 UTC

This is the third page of my report.

Week 3 Lab Task-Ridwan Ogundeji

d3000496 — 2023-10-20 08:55:42 UTC

This is the second page of my report

2023-10-20 09:04:28 UTC

C2732130 (Muhammad Bakhtiar)

c2732130_ — 2023-10-20 09:49:35 UTC

In this lab session, I learned about creating and managing the relationships between the columns.

C2732130 (Muhammad Bakhtiar)

c2732130_ — 2023-10-20 09:51:06 UTC

In this lab session, I learned about creating and managing the relationships between the columns.

Week 4 Lab - W9088390

2023-10-20 10:16:52 UTC

WEEK 2 D3675465 MARY BANIN

d3675465 — 2023-10-20 10:26:54 UTC

MARY BANIN D3675465

WEEK 2 D3675465 MARY BANIN

d3675465 — 2023-10-20 10:28:00 UTC

MARY BANIN D3675465

Annavaram Sujith Reddy(D3895467)

2023-10-20 11:07:16 UTC

D3333789_Week 3 lab work link

d3333789 — 2023-10-20 11:10:31 UTC

https://padlet.com/d3333789/d3333789_-padlet-to-display-lab-work-fga8zhyueikmpp2z

Week 3 Netflix Challenge - Lena Moroz

s3063766_ — 2023-10-20 11:29:23 UTC

Week 3 Netflix Challenge - Lena Moroz

s3063766_ — 2023-10-20 11:29:34 UTC

Business Data Lena Moroz

s3063766_ — 2023-10-20 11:37:12 UTC

Annavaram Sujith Reddy(D3895467)

2023-10-20 11:42:23 UTC

C2657813 Adefunke Okezie Week4 task 1

c2657813 — 2023-10-20 11:44:07 UTC

C2657813 Adefunke Okezie Week4 Task 2

c2657813 — 2023-10-20 11:44:52 UTC

Akhila Gaddam - W9617714

2023-10-20 18:21:47 UTC

Week 4

Chukwuma Okafor - D3041895 Netflix Data

d3041895 — 2023-10-20 18:26:58 UTC

It was awesome learning how to put navigation buttons and exploring ways of combining two dashboards in a picture.

Yaswanth Sai Chinthakayala - W9640628 - Week4

w9640628 — 2023-10-20 19:23:48 UTC

B1752458 - Samuel Agboola

2023-10-21 09:40:12 UTC

Chigozie Godwin (c2407247) - Lab Session - Week 4

c2407247 — 2023-10-21 11:03:05 UTC

2023-10-21 11:42:16 UTC

W9633770-Week1

2023-10-21 11:43:00 UTC

W9633770 - Week2 Task1

2023-10-21 11:43:35 UTC

W9633770 - Week2 Task2

Week 2 Lab

2023-10-21 12:02:33 UTC

W9601166 - Week2 - Task1

Week2 Lab

2023-10-21 12:03:26 UTC

W9601166 - week2 task2

Week1 Lab

2023-10-21 12:08:45 UTC

W9601166-Week1

Week1

2023-10-21 12:40:47 UTC

W9623647

Week2

2023-10-21 13:00:20 UTC

w9623647 - Week2 - Task1

Week2

2023-10-21 13:01:42 UTC

W9623647 - Week2 - Task2

week 4- task 1 (Samuel Adjei Junior)

d3000623 — 2023-10-21 14:28:24 UTC

d3000623 -Samuel Adjei Junior

D3713088-Neethu Varghese

d3713088 — 2023-10-21 16:08:45 UTC

Power BI - 4th week

Netflix movie analytics challenge

d3004476 — 2023-10-21 21:32:29 UTC

D3863705 wk 2; Adaeze Ogbonnaya

2023-10-22 03:17:30 UTC

D3863705 WK 2B.Adaeze Ogbonnaya

2023-10-22 03:19:44 UTC

week 4 D3008580 ESTHER MAKANJUOLA

d3008580_ — 2023-10-22 12:41:30 UTC

W9624019_Anusha_Gaddam - Week 4_Lab

w9624019_ — 2023-10-22 13:47:53 UTC

In this lab, I learnt How to built the relationships to multiple tables and also how to remove relationship from one to another table. And I learnt how to transform the data set from our local file to Power BI Desktop.

Week 3 Netflix Task- Rodiyah Oluwa- D3127027

d3127027_ — 2023-10-22 23:48:10 UTC

W9619321 Anvitha Karnakanti

2023-10-23 02:42:54 UTC

Week5 DAX D3591118 Bhavana Yalavarthi

d3591118 — 2023-10-23 10:15:19 UTC

Week5 DAX D3591118 Bhavana Yalavarthi

Week 5 Lab activity W9629423

2023-10-23 10:36:35 UTC

LAB activity W9609937

2023-10-23 10:48:46 UTC

Nikhil_D3637265_week5

d3637265 — 2023-10-23 11:03:04 UTC

Week5 - AdventureWorkTask

2023-10-23 11:05:13 UTC

D3722574 - Shashidhar Reddy Surakanti

D3787937(vamsi reddy)-week05

2023-10-23 11:25:10 UTC

D3591118 Bhavana yalavarthi week4 task1

d3591118 — 2023-10-23 11:25:42 UTC

D3591118 Bhavana yalavarthi week4 task1

D3591118 Bhavana yalavarthi week4 task2

d3591118 — 2023-10-23 11:26:06 UTC

D3591118 Bhavana yalavarthi week4 task2

w9621119

w9621119 — 2023-10-23 12:29:35 UTC

Siri Chandana Dhurjati
Week4 task2

James, Chiedozie James - d3458961 Week 4

JamesChiedozieJames_d3458961 — 2023-10-23 12:50:23 UTC

This dashboard shows visuals for the following analyses..
- Total budget allocation
- Total hours of individual projectName
- Number of hours and tickets by EmployeeName
- Total number of tickets submitted
- Total worked hour
- What is each Employee's work hour
- Tickets priority Distribution.

Excited about this project as it has exposed me to a lot in Power BI and data visualization.

Week5 Lab Activity

2023-10-23 13:35:03 UTC

W9601166(Anil Kumar Valipi) - Week5(AdventureWorksTask)

W9635033

2023-10-23 13:36:14 UTC

W9623647(PRAVEEN RAYANKULA) WEEK-5

2023-10-23 13:37:11 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-10-23 13:46:28 UTC

This is a screenshot of the HomePage of my Netflix dashboard showing...
- Year Added in slice
- Movies released in 2020
- Count of movies with duration greater than 60 mins
- Directors with their number of movies from highest to lowest
- Number of directors with only one movie
- Count of movies released in each year showing year with highest movies released.

Note: The buttons on top of the dashboard are all responsive.

This was an exciting project to work on.

W9622880 shriya

2023-10-23 13:48:40 UTC

W9622880-shriya

2023-10-23 13:49:49 UTC

Week 5 Task W9632133 - GunaReddy Vaidula

2023-10-23 13:52:02 UTC

Week 5 Task
W9632133 - GunaReddy Vaidula

James, Chiedozie James - d3458961 (week 3)

JamesChiedozieJames_d3458961 — 2023-10-23 13:53:48 UTC

This is a screenshot of the Visuals page of my Netflix dashboard showing...
- Year in slice
- Total number of movies released in 2020
- Count of movies by year
- Count of movies released by each country showing the country with most movie released

Note: The buttons on the top of the dashboard are responsive.

This was an exciting project to work on.

W9641667_week-5

2023-10-23 13:54:45 UTC

Week 5

2023-10-23 13:54:51 UTC

Week 5 Task
Kusuma Mekathoti
D3747948

Week 5 Task A0550985-Zhenghang Wang

a0550985 — 2023-10-23 13:55:13 UTC

w9622880-shriya

2023-10-23 13:56:03 UTC

D3939804 WEEK5

2023-10-23 13:57:54 UTC

Week 5: Lab 5 - C2888413 Chukwuemeeka Ude

emmyalexjnr — 2023-10-23 13:58:31 UTC

K.VAMSHI KRISHNA-W9633536

2023-10-23 13:58:39 UTC

week 5

Nazia Khalid

2023-10-23 13:59:22 UTC

week 5

w9619424_ — 2023-10-23 14:03:29 UTC

week5-lab activity

d3701616_ — 2023-10-23 14:03:47 UTC

Week-4

2023-10-23 14:24:22 UTC

W9633770

Week-3

2023-10-23 14:49:35 UTC

W9633770

Week-3

2023-10-23 14:50:20 UTC

W9633770

Week-3

2023-10-23 14:51:03 UTC

W9633770

Week-3

2023-10-23 14:51:49 UTC

W9633770

Week 4.Friday: Syed Nauman(C2931614)

c2931614 — 2023-10-23 15:10:32 UTC

Week-5

2023-10-23 15:42:18 UTC

W9633770

Week-05-Nikita Dandwate

d3897342 — 2023-10-23 17:58:20 UTC

D3897342 - Week 05 - Task 01 Adventure Work Task

Week05 - Nikita Dandwate

d3897342 — 2023-10-23 17:59:07 UTC

D3897342 - Lab 05 - Task 2 - TV sales

Week 05 - Nikita Dandwate

d3897342 — 2023-10-23 17:59:41 UTC

D3897342 - Lab 05 - Task 03 - Newspaper Sales

Week 05 - Nikita Dandwate

d3897342 — 2023-10-23 18:00:20 UTC

D3897342 - Lab 05 - Task 04 - Radio Sales

Week 05 - Nikita Dandwate

d3897342 — 2023-10-23 18:01:54 UTC

D3897342 - Comparison to answer the question Which media provides the fastest growth in Sales? Week 05 - Task 05

w9619321 Anvitha Karnakanti

2023-10-23 20:42:37 UTC

Week3_Netflix_Wilson Semanhyia

d3160239 — 2023-10-23 20:58:05 UTC

OLANREWAJU Charles (D3002144): Week 4

olanrewajucharles2014 — 2023-10-23 22:57:59 UTC

Samuel Adjei Junior (D3000623): Week 4

d3000623 — 2023-10-24 11:00:02 UTC

Week 4 Business Dashboard

2023-10-24 11:09:09 UTC

Henry Nyinguro

Samuel Adjei Junior (D3000623): Week 4

d3000623 — 2023-10-24 11:21:24 UTC

week 5 task1- d3591314

mirzajamaalalibaig — 2023-10-24 13:15:35 UTC

D3673865- Patancheru dhananjay

2023-10-24 13:36:20 UTC

w9646370- Mudam Aravind

w9646370_ — 2023-10-24 13:44:59 UTC

Week 4: Wilson Semanhyia

d3160239 — 2023-10-24 13:49:51 UTC

d3773367-Rajitha Vaddempudi

d3773367 — 2023-10-24 14:04:10 UTC

Week5 task 2

d3905212_ — 2023-10-24 14:05:38 UTC

W9639185-SAMPATH GOUD SITAGRI WEEK5

sitagarisampath19 — 2023-10-24 14:07:25 UTC

week 4 lab activity

2023-10-24 14:42:24 UTC

week4- W9641966

w9641966_ — 2023-10-24 14:49:47 UTC

d3734434 — 2023-10-24 14:57:38 UTC

Week 4- Dashboard - D3612705

faheematwork841 — 2023-10-24 15:28:58 UTC

Despite trying for half an hour, I could not figure out how to centre-align bars in the Employee Experience chart. Let me know in the comments please!

Week 4 - T1

2023-10-24 15:35:47 UTC

D3840711 - Pravallika Sunkireddy

Week 4 - T2

2023-10-24 15:36:55 UTC

D3840711 - Pravallika Sunkireddy

D3296301

d3296301_ — 2023-10-24 15:38:43 UTC

Week5-w9641966

2023-10-24 16:24:06 UTC

Week-5 Adventures Work Using DAX-D3903038

d3903038 — 2023-10-24 16:29:48 UTC

d3773367- Week 2

d3773367 — 2023-10-24 16:39:24 UTC

Week 4 Task 2_Wilson Semanhyia

d3160239 — 2023-10-24 18:47:51 UTC

Muhammad Bakhtiar (C2732130) Sales Report Dashboard

2023-10-25 17:06:40 UTC

week2(w9629636)

w9629636_ — 2023-10-26 08:51:09 UTC

week3(w9629636)

w9629636_ — 2023-10-26 09:02:24 UTC

Fatima Week4 PBI-task1

2023-10-26 09:52:47 UTC

PowerBI business Model WK4 Task 1

D3663842 Week 5 - Ibrahim Bankole

2023-10-26 09:56:47 UTC

w9621119_Task1and2

w9621119 — 2023-10-26 15:20:33 UTC

W9621119_Task03

w9621119 — 2023-10-26 15:28:41 UTC

W9615750-week 5 task1

w9615750 — 2023-10-26 19:31:07 UTC

Week3:D3863705, Adaeze Agozie Ogbonnaya

2023-10-26 20:01:54 UTC

d3565861 — 2023-10-27 00:54:51 UTC

Yaswanth Sai Chinthakayala - W9640628 - Week5

w9640628 — 2023-10-27 05:34:10 UTC

Radio is the fastest growth media because of its high beta 1 value.

w9633392_ — 2023-10-27 08:44:12 UTC

W9633392 week 4 work

Vaibhav Kumar Maheshbhai Bhalani (D3797651) week 4

d3797651 — 2023-10-27 08:45:06 UTC

W9633392 - Week 5

w9633392_ — 2023-10-27 09:23:53 UTC

Paul Shail W9194835 - Week 5 Task 2

w9194835_ — 2023-10-27 09:29:54 UTC

W9088390 - Week 5 Task 2: Melvin

2023-10-27 09:40:38 UTC

D3715451 WEEK5 TASK 2

d3715451_ — 2023-10-27 09:58:26 UTC

Muhammad Bakhtiar (C2732130)

c2732130_ — 2023-10-27 10:00:05 UTC

D3542107

2023-10-27 10:04:15 UTC

MI-CAREME ACHO (D3426577) WEEK 1 ACTIVITY 2 . PROFIT AND LOSS

2023-10-27 10:04:42 UTC

Paul Shail - Week 5 Challenge task

w9194835_ — 2023-10-27 10:44:21 UTC

Mathew Marron P4029268

Matimo123 — 2023-10-27 11:15:43 UTC

Week 5 Task 1 DAX table with Measures

d3520925_ — 2023-10-27 11:26:33 UTC

D3520925 _ Week5

W9095578 Emma Bates - Week 5 Activity 1/2

w9095578 — 2023-10-27 11:29:12 UTC

D3349038-SNEHA KALAISELVAN-WEEK 1

d3349038_ — 2023-10-27 11:37:29 UTC

SUPERSTORE DATASET

Link To My Personal Padlet

Matimo123 — 2023-10-27 11:39:04 UTC

Hi Everyone! Thought id share a link to the Padlet i made with all of my work on. Feel free to take a look! :-)

d3777000 — 2023-10-27 11:39:51 UTC

D3349038-SNEHA KALAISELVAN-WEEK 1

d3349038_ — 2023-10-27 11:41:47 UTC

COVID DATASET

D3349038-SNEHA KALAISELVAN-WEEK 3

d3349038_ — 2023-10-27 11:43:00 UTC

NETFLIX DATASET

D3349038-SNEHA KALAISELVAN- WEEK 4

d3349038_ — 2023-10-27 11:44:16 UTC

RELATIONSHIP DATASET

D3349038-SNEHA KALAISELVAN WEEK 5

d3349038_ — 2023-10-27 11:45:14 UTC

ADVENTURE WORKS WITH DAX

Akhila Gaddam - W9617714

2023-10-27 13:32:11 UTC

Week 5

SRIKANTH(D3764039)

2023-10-27 15:46:55 UTC

Nazia Khalid-q2252114

q2252114_ — 2023-10-27 20:33:25 UTC

Martins Adegbaju- Q2207262 week 5

2023-10-28 17:01:25 UTC

Week-05 Task - D3864799

d3864799_ — 2023-10-29 08:26:25 UTC

Radio has the highest rate of growth with the highest value of beta1 as compared to newspaper and tv

Week-01 Task - D3864799

d3864799_ — 2023-10-29 08:29:15 UTC

Week-02 Task - D3864799

d3864799_ — 2023-10-29 08:32:38 UTC

Week - 03 Task - D3864799

d3864799_ — 2023-10-29 08:34:15 UTC

Week - 04 Task - D3864799

d3864799_ — 2023-10-29 08:36:00 UTC

Week 5 - D3220766 - Nalinika-WorkBook 3 Activity

2023-10-29 14:03:41 UTC

According to the beta 1 values, RADIO has the fastest growth rates in Sales.

Week 5 - Workkbook 2 - D3220766 - Nalinika

2023-10-29 16:22:07 UTC

WEEK 4 MARY BANIN D3675465

d3675465 — 2023-10-29 17:14:24 UTC

MARY BANIN D3675465

WEEK 4 BANIN MARY D3675465

d3675465 — 2023-10-29 17:16:06 UTC

BANIN MARY D3675465

WEEK 4 BANIN MARY D3675465

d3675465 — 2023-10-29 17:17:45 UTC

BANIN MARY D3675465

Week4-task 1-D3252507-kusumlata

kusumramola95_ — 2023-10-29 18:50:25 UTC

Project Name: Business Data Model.

In this project, I focused on several key tasks, including duplicating Business Data, establishing relationships between multiple sets of Business Data, renaming headers (columns) for clarity, removing duplicate entries, and meticulously filtering the data to ensure accuracy and relevancy.

Week 4 Lab session-Ridwan Ogundeji

d3000496 — 2023-10-29 20:00:54 UTC

This dashboard answers the following business intelligence questions;

-Total budget allocation

-Total number of employee

-Total work hours

-Total number of tickets

-Employee with the longest tenure

-Ticket by priority

-Average tenure for each city

-Budget allocation by priority

-Number tickets submitted by each employee.

D3310898 TU-PBi-Lab

d3310898 — 2023-10-29 22:21:31 UTC

week-4-task2-D3252507-kusumlata

kusumramola95_ — 2023-10-30 01:43:21 UTC

I have loaded the data from Excel and need to analyze the relationship between the business model and various aspects. I worked on creating different connections and generate a report based on these relationships.

SuliatOlayiwola Q2310773

q2310773 — 2023-10-30 06:21:57 UTC

Suliat Olayiwola Q2310773

q2310773 — 2023-10-30 06:23:59 UTC

Suliat Olayiwola Q2310773

q2310773 — 2023-10-30 06:25:06 UTC

suliat Olayiwola Q2310773

q2310773 — 2023-10-30 09:13:30 UTC

q2310773 — 2023-10-30 09:14:43 UTC

q2310773 — 2023-10-30 09:15:21 UTC

count of title by director

q2310773 — 2023-10-30 09:18:08 UTC

q2310773 — 2023-10-30 09:20:09 UTC

Week 3 Task 2- D3220766 - Nalinika

d3220766_ — 2023-10-30 09:21:44 UTC

This dashboard was already added on the padlet mentioned in the worksheet.

q2310773 — 2023-10-30 09:22:12 UTC

D3675166 Week 6

2023-10-30 10:55:22 UTC

WEEK 6 KPI

2023-10-30 10:56:52 UTC

D3722574 Shashidhar Reddy Surakanti

Week6_mahesh_W9642974

2023-10-30 10:57:34 UTC

NikhilWeek6_D3637265

d3637265 — 2023-10-30 11:31:51 UTC

Week6_Vijayreddy_D3722378

2023-10-30 11:32:19 UTC

Week6 PPT KPI bhavana yalavarthi

2023-10-30 11:50:18 UTC

About KPI week6

week6_Vijayreddy_D3722378

2023-10-30 11:59:11 UTC

Nikhil_week6_d3637265

d3637265 — 2023-10-30 12:00:28 UTC

week6_mahesh_W9642974_task1

2023-10-30 12:19:36 UTC

week6 task1 bhavana yalavarthi d3591118

2023-10-30 12:54:58 UTC

D-3787937(vamsireddy)

2023-10-30 12:56:31 UTC

D3787937-vamsireddy

2023-10-30 12:57:41 UTC

D3787937-vamsireddy

2023-10-30 12:58:05 UTC

Week 6 - Merin Mariya Michael- D3737729

merinmariyamichael — 2023-10-30 13:03:34 UTC

W9641966-Week-2-Task1

2023-10-30 13:06:14 UTC

Task 1

q2464827 — 2023-10-30 13:07:56 UTC

WK 6 - Task 2

q2464827 — 2023-10-30 13:08:48 UTC

W9613019 - Manikishore kundla

manikishorekundla9 — 2023-10-30 13:21:06 UTC

W9613019 -Manikishore Kundla - Part1

manikishorekundla9 — 2023-10-30 13:22:36 UTC

W9613019 - Manikishore Kundla - Part2

manikishorekundla9 — 2023-10-30 13:23:46 UTC

Ebenezer Adefila Power Bi week 5

2023-10-30 13:24:29 UTC

Ebenezer Adefila PowerBi week 5

w9619644--PAVAN KUMAR KADIYALA

w9619644 — 2023-10-30 13:26:30 UTC

D3713088-Neethu Varghese

d3713088 — 2023-10-30 13:29:56 UTC

D3713088- Neethu Varghese

d3713088 — 2023-10-30 13:30:41 UTC

Henry Nyinguro

q2547489 — 2023-10-30 13:31:14 UTC

c2441395 — 2023-10-30 13:33:08 UTC

W9619644--PAVAN KUMAR KADIYALA--WEEK 02---PART --02

w9619644 — 2023-10-30 13:33:57 UTC

W9619644--PAVAN KUMAR KADIYALA---WEEK-02--PART--01

w9619644 — 2023-10-30 13:35:25 UTC

W9613019 - Manikishore Kundla - Part1

manikishorekundla9 — 2023-10-30 13:35:26 UTC

W9613019 - Manikishore Kundla - Part2

manikishorekundla9 — 2023-10-30 13:36:04 UTC

Q2195192

q2195192_ — 2023-10-30 13:38:44 UTC

c2441395 — 2023-10-30 13:38:50 UTC

W9613019 - Manikishore Kundla

manikishorekundla9 — 2023-10-30 13:39:30 UTC

Week -6 Anil Vadla -W9647096

2023-10-30 13:41:09 UTC

W9619644--PAVAN KUMAR KADIYALA---WEEK 03 --PART-01

w9619644 — 2023-10-30 13:42:09 UTC

Week06 - Nikita Dandwate

d3897342 — 2023-10-30 13:42:39 UTC

D3897342 - - Nikita Dandwate - Lab06 - Task 01 - Question1 : What is KPI

W9619644--PAVAN KUMAR KADIYALA--WEEK--03--PART-02

w9619644 — 2023-10-30 13:43:43 UTC

Week-06 - Nikita Dandwate

d3897342 — 2023-10-30 13:44:16 UTC

D3897342 - - Nikita Dandwate - Lab06 - Task 01 - Question2 : What are KPIs used for and which are the main characteristics of a KPI?

W9613019 - Manikishore Kundla

manikishorekundla9 — 2023-10-30 13:44:36 UTC

Week06 - Nikita Dandwate

d3897342 — 2023-10-30 13:45:13 UTC

D3897342 - - Nikita Dandwate - Lab06 - Task 01 - Question3 : Which charts are usually used in Power BI to represent KPI?

Edmund Lab 3

a0029748_ — 2023-10-30 13:47:29 UTC

W9619644--PAVAN KUMAR KADIYALA

w9619644 — 2023-10-30 13:48:24 UTC

Edmund Lab 3

a0029748_ — 2023-10-30 13:48:45 UTC

d3667499

2023-10-30 13:50:36 UTC

Week6 - Reasearch Task- Anil Vadla

2023-10-30 13:51:32 UTC

W9619644--PAVAN KUMAR KADIYALA

w9619644 — 2023-10-30 13:51:49 UTC

kpi d3667499

2023-10-30 13:52:15 UTC

WEEK 6- MERIN MARIYA MICHAEL - D3737729

merinmariyamichael — 2023-10-30 13:53:23 UTC

W9639855 - Week 5 Task

w9639855 — 2023-10-30 13:59:55 UTC

W9641667_week6

2023-10-30 14:04:53 UTC

Pallur Naveen Kumar

w9618784_ — 2023-10-30 14:05:17 UTC

Pallur Naveen Kumar

w9618784_ — 2023-10-30 14:07:21 UTC

Week06 - Nikita Dandwate

d3897342 — 2023-10-30 14:08:50 UTC

D3897342 - Lab 06 - Task 02

W9641667_Salma Shaik_Week_6

2023-10-30 14:10:52 UTC

W9641966-Week2

2023-10-30 14:15:32 UTC

2023-10-30 14:17:50 UTC

2023-10-30 14:18:07 UTC

ADEFILA EBENEZER POWER BI WEEK 6

2023-10-30 14:18:15 UTC

2023-10-30 14:18:29 UTC

2023-10-30 14:18:41 UTC

2023-10-30 14:18:54 UTC

Week 6_ W9632133 - GunaReddy Vaidula

2023-10-30 14:20:33 UTC

Week 6_ W9632133 - GunaReddy Vaidula

KPI Presentation

d3362046_ — 2023-10-30 14:36:48 UTC

Week 6 Task 2 - C2888413 - Chukwuemeka Ude

emmyalexjnr — 2023-10-30 14:38:26 UTC

Week 6 Task 1 - C2888413 - Chukwuemeka Ude

emmyalexjnr — 2023-10-30 14:40:29 UTC

pallur naveen kumar

w9618784_ — 2023-10-30 14:45:56 UTC

pallur naveen kumar

w9618784_ — 2023-10-30 14:48:04 UTC

pallur naveen kumar

w9618784_ — 2023-10-30 14:54:41 UTC

Week 06 Task 2-D3804812

2023-10-30 14:54:52 UTC

KPI w9626554

w9626554 — 2023-10-30 14:57:38 UTC

DAX w9626554

w9626554 — 2023-10-30 14:57:50 UTC

W9613019 - Manikishore Kundla

manikishorekundla9 — 2023-10-30 14:58:41 UTC

W9611172- Aishwarya Vishwanath - week6

2023-10-30 15:02:12 UTC

KPI ppt - W9611172 - Aishwarya Vishwanath

2023-10-30 15:03:16 UTC

Nazia Khalid-q2252114 (Dax challenge 2)

2023-10-30 15:03:28 UTC

d3939804 week6

2023-10-30 15:04:57 UTC

Week 6

2023-10-30 15:05:48 UTC

Week 6

Kusuma Mekathoti

D3747948

Satya Naveen-week 06 lab

2023-10-30 15:06:45 UTC

Devender Bijili(W9641966)-Week6

2023-10-30 15:21:56 UTC

Devender Bijili(W9641966)-Week6

2023-10-30 15:22:09 UTC

Week 6 Task 1-A0550985 Zhenghang Wang

a0550985 — 2023-10-30 15:28:14 UTC

Week 6 Task 2- A0550985 Zhenghang Wang

a0550985 — 2023-10-30 15:30:54 UTC

Week 6 Task 3- A0550985 Zhenghang Wang

a0550985 — 2023-10-30 15:35:43 UTC

week 5 lab activity W9629423

2023-10-30 15:38:09 UTC

week 6 lab activity

w9623537_ — 2023-10-30 15:44:04 UTC

week 6 lab activity W9609920

2023-10-30 15:45:25 UTC

week 1 lab activity w9609920

2023-10-30 15:48:05 UTC

week 2 lab activity w9609920

2023-10-30 15:48:34 UTC

week 3 lab activity w9609920

2023-10-30 15:48:48 UTC

week 4 lab activity w9609920

2023-10-30 15:49:00 UTC

week 6 lab activity w9609937

2023-10-30 16:01:16 UTC

w9621061 — 2023-10-30 16:57:55 UTC

Nazia Khalid-Q2252114(week 6)

q2252114_ — 2023-10-30 20:37:12 UTC

30/10/2023 Komal Khan (KPI SLIDE)

khankomal1995_ — 2023-10-30 22:08:45 UTC

30/10/2023 Komal Khan (Challenge DAX)

khankomal1995_ — 2023-10-30 22:09:58 UTC

23/10/2023 Komal Khan (Adventure Works)

khankomal1995_ — 2023-10-30 22:19:52 UTC

23/10/2023 Komal Khan (Advertising Media)

khankomal1995_ — 2023-10-30 22:20:58 UTC

Nazia Khalid-Q2252114(week 1)

q2252114_ — 2023-10-30 22:43:27 UTC

q2252114_ — 2023-10-30 22:47:20 UTC

Nazia Khalid-Q2252114

q2252114_ — 2023-10-30 23:27:45 UTC

Week 5- task-1- Kusum Lata-D3252507

kusumramola95_ — 2023-10-31 00:50:05 UTC

I uploaded the data, eliminated duplicate entries, transposed rows into columns, and eliminated null rows. Lastly, I established a relationship with the business model.

2023-10-31 11:38:50 UTC

Week06 - Task 1

2023-10-31 13:31:21 UTC

D3840711 - Pravallika Sunkireddy

Week06 - Task 02

2023-10-31 13:32:37 UTC

D3840711 - Pravallika Sunkireddy

Paul Shail - Week 6 - DAX Challenge

w9194835_ — 2023-10-31 13:53:22 UTC

Lena Moroz (Adventure Task)

ekmoroz99_ — 2023-10-31 13:59:02 UTC

Week 05 - Task

2023-10-31 14:00:51 UTC

D3840711 - Pravallika Sunkireddy

Anusha Gaddam_W9624019 - Week 2 Lab

2023-10-31 14:03:20 UTC

d3565861 — 2023-10-31 14:05:10 UTC

week 6 - Research Task

2023-10-31 14:05:14 UTC

D3591314 - Jamaal Ali Baig Mirza

Week 6- Research Task-KPI_Idowu OBISANYA (C2861872)

2023-10-31 14:08:40 UTC

This is a summary on KPI: meaning, characteristics and common charts.

q2547489 — 2023-10-31 14:09:08 UTC

2023-10-31 14:10:09 UTC

Week 6 KPI Ibrahim C2191409

2023-10-31 14:16:48 UTC

Q2375435-Key performance indicator(KPI) research

2023-10-31 14:17:04 UTC

d3773367- week6-Research Task-Rajitha vaddempudi

d3773367 — 2023-10-31 14:19:30 UTC

TASK1 KPI - w9693185 SAMPATH GOUD SITAGARI

sitagarisampath19 — 2023-10-31 14:20:43 UTC

week06-Research Task

afiraazeez72 — 2023-10-31 14:20:47 UTC

D3713088-Neethu Varghese

d3713088 — 2023-10-31 14:34:50 UTC

31/10/2023

Week 06 Research Task

afsheenfatima379_ — 2023-10-31 14:37:54 UTC

Week 6_ D3536212 _ Research Task

naveenettadi — 2023-10-31 14:43:27 UTC

Week 6_Task 1

2023-10-31 14:44:05 UTC

D3919679_Week 6_Task 1

Week 6_Lab

2023-10-31 14:45:15 UTC

D3919679_Week 6_Lab

W9647371 -WEEK 6

w9647371 — 2023-10-31 14:46:08 UTC

week 06-Research Task

yashu2k15 — 2023-10-31 14:49:20 UTC

Week 6 Reasearch Task

saikattek09 — 2023-10-31 14:49:43 UTC

Paul Shail - Week 6 - Correlation Coefficients

w9194835_ — 2023-10-31 14:50:33 UTC

week 6 task 1 w9643793 harini peddineni

2023-10-31 14:53:16 UTC

week 6 task 2 w9643793 harini peddineni

2023-10-31 14:54:00 UTC

Sadaur Rahman

2023-10-31 14:56:34 UTC

Week 6 Research Task

w9642675 — 2023-10-31 14:56:44 UTC

Week 6 Research Task

w9642448 — 2023-10-31 14:57:28 UTC

D3674419_Lab Task

bhavanidasari225 — 2023-10-31 15:00:58 UTC

DAX Lena Moroz linear regression

ekmoroz99_ — 2023-10-31 15:03:48 UTC

Which media provides the fastest growth in Sales? - beta for TV = 0,06, beta for Radio = 0,12, beta for newspaper = 0,04. It means that Radio provides the fastest growth in Sales as it has the biggest dependence coefficient on Sales

w9646370 Aravind

2023-10-31 15:17:46 UTC

week 5 Lab Activity..

Devender Bijili(W9641966-week6-T1)

2023-10-31 15:25:41 UTC

Devender Bijili(W9641966-week6-T2)

2023-10-31 15:26:23 UTC

Anusha Gaddam_W9624019 - Week 2 Lab

2023-10-31 15:50:40 UTC

SYLVESTER OKOGBE D3356728 WEEK 6

D3356728 — 2023-10-31 16:50:35 UTC

SYLVESTER OKOGBE D3356728 WEEK 6

D3356728 — 2023-10-31 16:51:14 UTC

SYLVESTER OKOGBE D3356728 WEEK 6

D3356728 — 2023-10-31 16:51:52 UTC

Week 6 Research Task_D3252507

kusumramola95_ — 2023-10-31 17:05:37 UTC

D3617913_Week 06

2023-10-31 17:29:32 UTC

D3617913_Week 04

2023-10-31 17:43:16 UTC

D3617913_Week 05

2023-10-31 17:44:05 UTC

Task - Week 6

d3734434 — 2023-10-31 18:49:48 UTC

Week 06-Research Task(D3935721)

kannnaiahgarinarendar191 — 2023-10-31 19:50:42 UTC

Goodluck Nwaekpe. Week 2 task 2

2023-10-31 20:19:46 UTC

From the data, Europe has consumed more products than other continents.

The 3 most consumed product includes: Cote de blaye with 5,902.40, thuringer rostbratwurst with 3,713.38, raclette courdavault with 2,761.00

Nikita Dandwate - Week06

2023-10-31 21:09:15 UTC

D3897342 - Nikita Dandwate_Lab06_Task03

b1862739 — 2023-10-31 21:17:38 UTC

Superstore sales show countries with the highest superstore sales and the yearly profit/loss across the three categories.

B1862739

b1862739 — 2023-10-31 21:19:53 UTC

The chart shows the weekly number of death due to covid-19 and other causes

week 5 task 1 w9643793 harini peddineni

2023-10-31 23:26:49 UTC

week 5 task 2 w9643793 harini peddineni

2023-10-31 23:27:29 UTC

KEY PERFORMANCE INDICATOR

franksonimala — 2023-11-01 02:32:13 UTC

week 3 task 1 (w9628068)

munisaichenna — 2023-11-01 10:52:05 UTC

Week 05 - W9628068

d3840711 — 2023-11-01 10:58:29 UTC

Week 4 - w9628068

d3840711 — 2023-11-01 11:00:32 UTC

Week 4 - W9628068

d3840711 — 2023-11-01 11:00:53 UTC

WEEK-6 w9639185-SITAGARI SAMPATH GOUD

sitagarisampath19 — 2023-11-01 11:44:56 UTC

week 5

2023-11-01 13:15:50 UTC

week5 task2

2023-11-01 13:18:33 UTC

d3773367-week 6-DAX Challenge-Rajitha Vaddempudi

d3773367 — 2023-11-01 16:00:27 UTC

Week 3- w9649672

w9649672 — 2023-11-01 16:37:09 UTC

Week 3- D3927858 Praharsha

d3927858 — 2023-11-01 16:39:18 UTC

Jyothsna-w9649672

w9649672 — 2023-11-01 16:39:34 UTC

Week 2- D3927858 Praharsha

d3927858 — 2023-11-01 16:40:48 UTC

2023-11-01 17:29:13 UTC

D3459168 NJIDEKA LINDA DIKE WEEK 4

d3459168 — 2023-11-01 17:42:50 UTC

W9649672-Business data Analysis

w9649672 — 2023-11-01 17:42:58 UTC

D3459168 NJIDEKA LINDA DIKE WEEK 4

d3459168 — 2023-11-01 17:44:31 UTC

Week 4 - D3927858- Praharsha

d3927858 — 2023-11-01 17:52:59 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-11-01 18:29:40 UTC

This dashboard indicates that

Television has a beta_1 of 0.06
Newspaper has a beta_1 of 0.04
Radio has a beta_1 of 0.12 hence making it the media with the fastest growth in sales.

This was an interesting activity as i learnt to use DAX in power BI

W9601197_Week5_Task1

2023-11-01 23:05:28 UTC

W9601197_Week5_Task2

2023-11-01 23:05:56 UTC

BANIN MARY D3675465 WEEK 6

2023-11-02 10:41:49 UTC

BANIN MARY D3675465

WEEK 6 - DAX // D3612705

faheematwork841 — 2023-11-02 10:43:10 UTC

Week 6 - Research Task - W9635198

w9635198 — 2023-11-02 10:44:35 UTC

OLANREWAJU Charles (D3002144)- Week 6

2023-11-02 10:45:58 UTC

DAX_D3618787

2023-11-02 10:47:29 UTC

DAX

KPIs _ D3618787

2023-11-02 10:48:22 UTC

Week 6 Lab Session (Ibrahim Bankole D3663842)

2023-11-02 10:52:35 UTC

I did a report on KPI and also attempted DAX Challenge

Week 6- D3927858 Praharsha

d3927858 — 2023-11-02 10:54:30 UTC

Niharika darakapalli

2023-11-02 10:55:53 UTC

Week6-W9649672

w9649672 — 2023-11-02 10:56:03 UTC

Akhila Gaddam - w9617714

2023-11-02 10:56:38 UTC

Week6-W9649672

w9649672 — 2023-11-02 10:57:56 UTC

W9621119

w9621119 — 2023-11-02 11:01:39 UTC

Power point presentation on KPI (Task1_Week6)

Chigozie Godwin (c2407247) - Research Task on Key Performance Indicators (KPIs)

c2407247 — 2023-11-02 11:04:52 UTC

Humera-W9647845

w9647845 — 2023-11-02 11:17:51 UTC

Started with power BI.

Humera-W9647845

w9647845 — 2023-11-02 11:22:44 UTC

Worked on DAX challenge.

Humera-W9647845

w9647845 — 2023-11-02 11:23:57 UTC

KPI power point

KPI Analysis-C2767606

c2767606 — 2023-11-02 11:57:31 UTC

Think of KPI as a report card for your favorite video game, showing your progress and high scores.

Week6_Task2_w9601197

2023-11-02 12:55:14 UTC

C2657813 Adefunke Okezie week5.1

c2657813 — 2023-11-02 14:59:14 UTC

C2657813 Adefunke Okezie Week6.1

c2657813 — 2023-11-02 15:01:29 UTC

C2657813 Adefunke Okezie Week5.2

c2657813 — 2023-11-02 15:02:00 UTC

week6

2023-11-02 15:13:13 UTC

d3722574 Shashidhar Reddy Surakanti

FADIPE OLUBUNMI

c2276953 — 2023-11-02 15:17:34 UTC

Week 6

C2257509 - Emmanuel

c2257509 — 2023-11-02 15:23:11 UTC

C2257509 - Emmanuel

c2257509 — 2023-11-02 15:53:12 UTC

B1752458

2023-11-02 16:09:28 UTC

b1752458

2023-11-02 16:11:03 UTC

week-5-task2-D3252507

kusumramola95_ — 2023-11-03 00:23:15 UTC

D3533587 Uzoemeka Okechukwu Innocent (week 5)

D3533587 — 2023-11-03 06:46:43 UTC

D3533587 Uzoemeka Okechukwu Innocent (Week 5)

D3533587 — 2023-11-03 06:48:55 UTC

Week 5 - D3737750 - Jose Ankitha

d3737750 — 2023-11-03 09:29:10 UTC

week 6 slide: Q2268906

q2268906 — 2023-11-03 09:38:25 UTC

c2727356 — 2023-11-03 09:40:04 UTC

summary on kpi

Week 6 - Research Task - W9088390

2023-11-03 09:40:49 UTC

Week - 6 - Task 1 - Ankita Ashok Chavan (W9609171)

w9609171 — 2023-11-03 09:52:20 UTC

D3542107

2023-11-03 09:52:57 UTC

c2727356-(ogunsola olusegun)

c2727356 — 2023-11-03 10:21:13 UTC

D3868968

2023-11-03 10:22:23 UTC

Dax challenge

D3533587 Uzoemeka Okechukwu Innocent (Week 6)

D3533587 — 2023-11-03 10:24:47 UTC

Week 6 - Dax challenge

d3892701_ — 2023-11-03 10:31:27 UTC

D3895467(Annavaram sujith reddy)

2023-11-03 10:33:31 UTC

Week 6 - Task 2 - Ankita Ashok Chavan (W9609171)

w9609171 — 2023-11-03 10:40:23 UTC

Week 6 - Task 2 - Nagarjun Amutha Kuppusamy (W9634135)

2023-11-03 10:44:01 UTC

d3542107

2023-11-03 10:44:09 UTC

task2

Week 6 - C2994587 - Konda Reddy

c2994587 — 2023-11-03 10:44:24 UTC

Task 2

D3426577(MI-CAREME)

d3426577_ — 2023-11-03 10:45:48 UTC

Task 2 - D3737750 (Jose Ankitha)

d3737750 — 2023-11-03 10:47:23 UTC

W9646356- S Adarsh Kumar

2023-11-03 10:51:31 UTC

Q2268906 umair khan (week 6)

q2268906 — 2023-11-03 10:51:39 UTC

Q2268906 umair khan (week 5)

q2268906 — 2023-11-03 10:52:24 UTC

D3617913_WEEK06

2023-11-03 10:53:47 UTC

Q2268906 umair khan (week 6)

q2268906 — 2023-11-03 10:54:10 UTC

Q2268906 umair khan week 6

q2268906 — 2023-11-03 10:58:03 UTC

D3715451 WEEK 6

d3715451 — 2023-11-03 10:59:02 UTC

D3000623 Samuel Adjei week 5

d3000623 — 2023-11-03 10:59:33 UTC

d3000623 Samuel Adjei Junior - Week6

d3000623 — 2023-11-03 11:01:36 UTC

d3689145 Nnabugwu Amaefula week 6, Task 2

d3689145 — 2023-11-03 11:03:05 UTC

D3689145 Nnabugwu Amaefula Week 5, Task 1

d3689145 — 2023-11-03 11:06:25 UTC

Q2038211 Wisdom Biachi

q2038211 — 2023-11-03 11:06:49 UTC

D3689145 Nnabugwu Amaefula Week 5, Task 2

d3689145 — 2023-11-03 11:08:55 UTC

W9621119

w9621119 — 2023-11-03 11:13:08 UTC

Week06_ Task 02

D3520925 week 6 task 1

2023-11-03 11:24:40 UTC

Week 6- Research task d3339558

2023-11-03 11:35:39 UTC

d3777000 — 2023-11-03 11:46:24 UTC

W9095578 Emma Bates - Week 6 Activity 1

w9095578 — 2023-11-03 11:50:48 UTC

D3349038-WEEK 5 PART 2

2023-11-03 11:53:18 UTC

ADVERTISING DATASET USING DAX CALCULATIONS

What is a KPI?

Matimo123 — 2023-11-03 12:01:31 UTC

Here is a slide that answers the question What is a KPI!

It also includes an example dashboard

What are KPIs used for, And which are the main characteristics of a KPI? - Mathew Marron - P4029268

Matimo123 — 2023-11-03 12:01:45 UTC

This slide answers the question of what KPIs are used for and their most common features

Which charts are usually used in power BI to represent KPI? - Mathew Marron - P4029268

Matimo123 — 2023-11-03 12:01:55 UTC

This slide answers the question of which are the most common visuals used and has an example of each

D3533587 Uzoemeka Okechukwu Innocent (Week 6)

D3533587 — 2023-11-03 12:12:00 UTC

d3339558

2023-11-03 12:18:08 UTC

d3520925 Week6 task 2

2023-11-03 12:20:46 UTC

WEEK 3: D3684573. Isyaka Ahmed Jibrin

2023-11-03 12:21:24 UTC

d3777000 — 2023-11-03 12:23:13 UTC

W9095578 Emma Bates - Week 6 Activity 2

w9095578 — 2023-11-03 12:23:16 UTC

Nataliia Ivanytska (S3032438 ) Week 6 , task 2

2023-11-03 12:25:17 UTC

week 3: D3684573. Isyaka Ahmed Jibrin

2023-11-03 12:27:08 UTC

WEEK 6 - DAX Challenge - D3220766 - Nalinika

d3220766_ — 2023-11-03 12:28:31 UTC

Week 3: D3684573. Isyaka Ahmed Jibrin

2023-11-03 12:29:23 UTC

Nataliia Ivanytska (S3032438) week 6 , task 1

2023-11-03 12:29:52 UTC

Week 6 Task 2 Working with DAX - Mathew Marron - P4029268

Matimo123 — 2023-11-03 12:49:24 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-11-03 13:02:35 UTC

This dashboard indicates

Table relationship between "Remain" and "Leave" with columns created using DAX.
Proportion of Average Remain and Average Leave votes.
Distribution of Average Leave and average Remain by Area
Total number of Electorate
Total Valid votes casted.

This was an interesting activity as I continue to explore on DAX and measures.

Task 1 KPI - D3737750 Jose Ankitha

d3737750 — 2023-11-04 12:11:11 UTC

Week 6 - Task 3- D3220766 Nalinika

d3220766_ — 2023-11-05 15:44:38 UTC

Week 6 - Task 1 - D3220766 - Nalinika

d3220766_ — 2023-11-05 15:48:32 UTC

b1862739 — 2023-11-05 18:12:50 UTC

b1862739 — 2023-11-05 18:13:53 UTC

week-6task

kusumramola95_ — 2023-11-05 21:33:54 UTC

d3041895 — 2023-11-06 08:41:24 UTC

d3708132 sudjhalokesh

2023-11-06 10:28:23 UTC

W9616562-WEEK7

2023-11-06 12:14:18 UTC

Week6 - W9601166

2023-11-06 12:23:29 UTC

Week6 Lab - W9601166(Anil Kumar Valipi)

WEEK 7-TASK1 MERIN MARIYA D3737729

merinmariyamichael — 2023-11-06 13:02:47 UTC

W9619644--PAVAN KUMAR KADIYALA

w9619644 — 2023-11-06 13:18:30 UTC

W9635033

2023-11-06 13:28:51 UTC

W9622880 -shetty shriya

2023-11-06 13:36:51 UTC

week 7 power bi d3667499

2023-11-06 13:39:38 UTC

week 6

w9619424_ — 2023-11-06 13:54:49 UTC

Week7 Lab - W9601166

2023-11-06 13:57:23 UTC

W9601166(Anil Kumar Valipi)

Week 7- Anil Vadla(19647096)

2023-11-06 14:00:35 UTC

week-6--praveenrayankula(w9623647)

2023-11-06 14:01:54 UTC

W9635033 Task1

2023-11-06 14:04:18 UTC

week7-praveenrayankula(w9623647)

2023-11-06 14:04:53 UTC

Week07-Sai Krupa Rapaka[W9633914]

2023-11-06 14:07:10 UTC

sales data histogram based on rank category

w9622880

2023-11-06 14:09:16 UTC

W9613019 - Manikishore Kundla - Task1

manikishorekundla9 — 2023-11-06 14:12:17 UTC

week 7 task 1 SADAUR RAHMAN

2023-11-06 14:13:31 UTC

WEEK 6 TASK 1 SADAUR RAHMAN

2023-11-06 14:17:13 UTC

W9619644--PAVAN KUMAR KADIYALA

w9619644 — 2023-11-06 14:22:43 UTC

week 7 task 1

q2259850_ — 2023-11-06 14:24:34 UTC

Nikita Dandwate - Week 07

2023-11-06 14:25:09 UTC

D3897342_Nikita Dandwate_Lab07_Task01

week 6

q2259850_ — 2023-11-06 14:25:41 UTC

Nikita Dandwate - Week07

2023-11-06 14:26:13 UTC

D3897342 - Nikita Dandwate - Lab07 - Task 02

week 5 task 1

q2259850_ — 2023-11-06 14:26:25 UTC

week 5 task 2

q2259850_ — 2023-11-06 14:26:54 UTC

week 4

q2259850_ — 2023-11-06 14:28:03 UTC

Nikita Dandwate_Week07

d3897342 — 2023-11-06 14:29:03 UTC

D3897342-Nikita Dandwate_Lab07_Task02

week 2

q2259850_ — 2023-11-06 14:29:08 UTC

week 1

q2259850_ — 2023-11-06 14:30:54 UTC

Nikita Dandwate_Week07

d3897342 — 2023-11-06 14:31:51 UTC

Week 7 Task 2-A0550985 Zhenghang Wang

a0550985 — 2023-11-06 14:32:06 UTC

Nikita Dandwate_Week07

d3897342 — 2023-11-06 14:32:59 UTC

D3897342_Nikita_Dandwate_Lab07_Task01

Week 7 Task 1-A0550985 Zhenghang Wang

a0550985 — 2023-11-06 14:33:48 UTC

Nikita Dandwate_Week07

d3897342 — 2023-11-06 14:34:09 UTC

D3897342_Nikita Dandwate_Lab7_task02

week 7 task1 W9611189

w9611189 — 2023-11-06 14:42:01 UTC

k.vamshi _ w9633536

w9633536_ — 2023-11-06 14:49:12 UTC

D3939804 week7

2023-11-06 14:51:58 UTC

w9601599_ — 2023-11-06 14:53:50 UTC

Week7-Movva Siri Chandana(W9623063)

w9623063_ — 2023-11-06 14:58:39 UTC

W9639855 - Week 6 Task

w9639855 — 2023-11-06 14:58:57 UTC

w9611172 - Aishwarya Vishwanath - week7 task1

2023-11-06 15:00:11 UTC

Week7-Movva Siri Chandana(W9623063)

w9623063_ — 2023-11-06 15:00:44 UTC

w9611172 - Aishwarya Vishwanath - week7 task 1

w9611172 — 2023-11-06 15:01:52 UTC

W9639855 - Week 7 Task

w9639855 — 2023-11-06 15:02:17 UTC

WEEK 7

w9619424_ — 2023-11-06 15:13:34 UTC

week7

w9631345 — 2023-11-06 15:15:11 UTC

Paul Shail - Telemarketer Histogram Task

w9194835_ — 2023-11-06 16:10:05 UTC

W9611141- Nidhi Karan Patel - week-7

w9611141 — 2023-11-06 16:52:52 UTC

D3785076 Week 7_Task 1: Shedrack Ojochegbe Abu

d3785076 — 2023-11-06 16:53:50 UTC

D3574618 week07

2023-11-06 16:55:57 UTC

Power BI Histograms using DAX and M Language

week 7 PASALA SRIRAM W9633495

w9633495_ — 2023-11-06 16:58:19 UTC

TELEMARKETER

week 7 - W9611567 -LAVANYA SANNAPANENI

w9611567 — 2023-11-06 16:58:32 UTC

Telemarketer Histogram Using DAX

week 3

w9619424_ — 2023-11-06 17:38:57 UTC

c2749284_ — 2023-11-06 17:44:13 UTC

tharunkumargunnapaneni — 2023-11-06 17:53:20 UTC

Regression challenge - D3737750-Jose Ankitha

d3737750 — 2023-11-06 17:53:32 UTC

D3938092_ Research Activity

tharunkumargunnapaneni — 2023-11-06 17:55:09 UTC

zainab Abdul-loko_week 4

c2953566_ — 2023-11-07 02:31:16 UTC

D3854381 - Chandana Pabbireddy - WK06 Work

2023-11-07 12:11:41 UTC

D3854381 - Chandana Pabbireddy -WK06-Task 2

2023-11-07 12:12:34 UTC

Week 07 D3656107

d3656107 — 2023-11-07 14:42:52 UTC

Week-07 D3470473

d3470473_ — 2023-11-07 14:42:55 UTC

week7_Task1_D3935721

kannnaiahgarinarendar191 — 2023-11-07 14:49:16 UTC

Task 2

tharunkumargunnapaneni — 2023-11-07 14:50:32 UTC

D3536212_Week 7_ Task 1

naveenettadi — 2023-11-07 14:50:34 UTC

WEEK-7(D3674419)

bhavanidasari225 — 2023-11-07 14:51:09 UTC

Task 2

tharunkumargunnapaneni — 2023-11-07 14:52:30 UTC

week-7 (W9639185)

sitagarisampath19 — 2023-11-07 14:55:08 UTC

Week 7 Task

w9642675 — 2023-11-07 14:55:19 UTC

w9607258 week7

w9607258_ — 2023-11-07 14:56:12 UTC

Task 2

tharunkumargunnapaneni — 2023-11-07 14:56:30 UTC

w9607258 week-5

w9607258_ — 2023-11-07 14:56:57 UTC

Week 7 Task

w9642448 — 2023-11-07 14:57:15 UTC

D3938092_Week 7_Task 2

tharunkumargunnapaneni — 2023-11-07 15:00:39 UTC

D3938092_Week 7_Task 1

tharunkumargunnapaneni — 2023-11-07 15:02:29 UTC

w9646370

2023-11-07 15:02:33 UTC

week 7

W9643793 WEEK 7 TASK 1 HARINI PEDDINENI

2023-11-07 15:10:15 UTC

W9643793 WEEK 7 TASK 2 HARINI PEDDINENI

2023-11-07 15:11:04 UTC

D3673865- week 7

2023-11-07 15:13:47 UTC

Lena Moroz - KPI

ekmoroz99_ — 2023-11-07 16:12:03 UTC

Lena Moroz - DAX Challenge

ekmoroz99_ — 2023-11-07 16:31:30 UTC

Week 04 | Task 02

d3688144 — 2023-11-07 19:10:38 UTC

Week 04 | Task 01

d3688144 — 2023-11-07 19:11:55 UTC

Week 05 | Workbook 01, 02

d3688144 — 2023-11-07 19:16:01 UTC

b1862739 — 2023-11-07 19:59:08 UTC

Week 7_Idowu OBISANYA_creating dashboard using DAX and M Language(Lab1)

2023-11-08 04:32:16 UTC

Lab work prepared by Idowu OBISANYA

Week7-Idowu OBISANYA_Lab2

2023-11-08 04:47:50 UTC

Lab2 of Week 7 prepared by Idowu OBISANYA (C2861872)

Suliat Olayiwola week 4

q2310773 — 2023-11-08 07:52:33 UTC

Suliat Olayiwola week 5

q2310773 — 2023-11-08 07:55:53 UTC

Suliat Olayiwola Q2310773

q2310773 — 2023-11-08 08:03:44 UTC

week 7-NaziaKhalid-Q2252114

q2252114_ — 2023-11-08 11:08:40 UTC

week 7 task-D3252507

kusumramola95_ — 2023-11-08 15:31:31 UTC

C2953566 Zainab Abdul-loko

c2953566_ — 2023-11-08 18:55:35 UTC

c2953566 Zainab Abdul-loko

c2953566_ — 2023-11-08 18:59:51 UTC

C2953566- Zainab Abdul-loko

c2953566_ — 2023-11-08 20:07:29 UTC

Yaswanth Sai Chinthakayala - W9640628 - Week 6

w9640628 — 2023-11-09 00:02:51 UTC

Week 06 - D3464799

d3864799_ — 2023-11-09 10:46:18 UTC

Week -06 DAX Challenge - D3864799

d3864799_ — 2023-11-09 10:47:27 UTC

Week 7 - Task 1 - W9635198

w9635198 — 2023-11-09 10:49:02 UTC

Week 7- martins adegbaju- Q2207262

2023-11-09 10:51:51 UTC

Histograms

d3690224 — 2023-11-09 10:54:31 UTC

This was good.

D3581054 - Yuvraj - Week 7

2023-11-09 10:55:00 UTC

D3581054 - Yuvraj - Week 7 Task 2

2023-11-09 10:55:39 UTC

d3690224 — 2023-11-09 10:56:49 UTC

d3690224 — 2023-11-09 10:56:54 UTC

Martin Njihia

d3690224 — 2023-11-09 10:57:07 UTC

Learnt good stuff today.

Week7_task1_W9601197

2023-11-09 10:57:14 UTC

D3741715-Jisna Joy

merinmariyamichael — 2023-11-09 13:47:54 UTC

Challenge - Regression Coefficient - Lena Moroz

ekmoroz99_ — 2023-11-09 14:16:30 UTC

calculations for regression: I have faced a problem with r for radio, as it cannot be more than 1

WK06 - Task 1 -D3854381 - Chandana Pabbireddy

2023-11-09 17:10:22 UTC

WK06 - Task 2 - D3854381 - Chandana Pabbireddy

2023-11-09 17:12:33 UTC

Wk07 - Task 1 - D3854381 - Chandana Pabbireddy

2023-11-09 18:32:45 UTC

WK07 - Task 2 - D3854381 - Chandana Pabbireddy

2023-11-09 19:02:42 UTC

Task 01

d3688144 — 2023-11-09 23:42:10 UTC

Task 01

d3688144 — 2023-11-09 23:43:27 UTC

Laraib Fatima D3688144

Task 01

d3688144 — 2023-11-09 23:44:32 UTC

Laraib Fatima D3688144

Task 02

d3688144 — 2023-11-09 23:47:09 UTC

Laraib Fatima D3688144

D3895467(Annavaram Sujith Reddy)

2023-11-10 10:02:31 UTC

D3819737(Hima Bindu Ande)

2023-11-10 10:32:09 UTC

D3349038-WEEK 7-TASK 1

2023-11-10 10:39:21 UTC

TELEMARKETER HISTOGRAM USING DAX

C2732130_ Muhammad Bakhtiar

2023-11-10 10:43:06 UTC

Week 7- Task

Telemarker Histogram Using Dax

D3895467(Annavaram Sujith Reddy)

2023-11-10 10:44:26 UTC

D3617913_WEEK07

2023-11-10 10:51:28 UTC

D3732968_Week7

2023-11-10 10:53:28 UTC

Lena Moroz

ekmoroz99_ — 2023-11-10 10:59:14 UTC

Histogram Made using DAX - Mathew Marron P4029268

Matimo123 — 2023-11-10 11:49:48 UTC

W9095578 Emma Bates - Week 7, Task 1

w9095578 — 2023-11-10 12:14:59 UTC

week 7 -- D3520925

2023-11-10 12:22:01 UTC

Student Marks Histogram made with Dax - Mathew Marron P4029268

Matimo123 — 2023-11-10 12:22:33 UTC

c2937335 — 2023-11-10 12:33:21 UTC

STUDENTS' MODULE DASHBOARD -Lena Moroz

ekmoroz99_ — 2023-11-10 12:37:48 UTC

Chukwuma Okafor - D3041895

d3041895 — 2023-11-10 12:53:31 UTC

Week 7 lab Practice

b1752458 - Samuel Agboola

2023-11-10 14:07:52 UTC

TU-Lab-07-PBi [Konda Reddy T]

c2994587 — 2023-11-10 14:50:50 UTC

TU-Lab-07-PBi [Konda Reddy T]

c2994587 — 2023-11-10 14:51:25 UTC

Task 2

Simple Maths Workbook - Lena Moroz

ekmoroz99_ — 2023-11-10 17:53:36 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-11-10 19:08:25 UTC

This dashboard shows student's grade for 4 different modules with the following visualization and analysis

The slicer to select various average grade limits to show performance across dashboard
The students card shows the names of students in the class.
The Class Average Max Score is at 90.44
The Overall Student Performance card shows the overall performance distribution of students across various Rank Categories
Distribution of students across ranked categories by percentage
Stacked bar chart - Showing top performing students and their average score
A table shows each student with their MaxGrade and MinGrade
Displays Class average score
Displays total number of students in the class
Displays students with their various scores for each module.

This was an interesting module as I used both M Language to generate MinGrade and MaxGrade column for each students

week4_task1 (D3935721)

kannnaiahgarinarendar191 — 2023-11-10 22:38:49 UTC

week7- Sundoori Benjamin Vamshi Ratnam-W9622660

w9622660_ — 2023-11-10 23:52:28 UTC

Suliat Olayiwola (Q2310773),Week 7

q2310773 — 2023-11-11 13:55:21 UTC

Big Data and Business Intelligence: Week Task. D3684573 Isyaka Ahmed Jibrin

2023-11-11 16:04:24 UTC

WEEK 5_ TASK_1 (D3935721)

kannnaiahgarinarendar191 — 2023-11-11 19:29:57 UTC

WEEK5(TASK1)-D3674419

bhavanidasari225 — 2023-11-11 19:33:54 UTC

Suliat Olayiwola(Q2310773) Week7 Task2

q2310773 — 2023-11-11 20:05:53 UTC

WEEK5-TASK2(D3674419)

bhavanidasari225 — 2023-11-11 21:55:49 UTC

W9615750-WEEK 6 TASK

w9615750 — 2023-11-12 19:40:12 UTC

W9615750-KPI POWERPOINT SLIDE

w9615750 — 2023-11-12 19:41:23 UTC

W9615750-week4-task1

w9615750 — 2023-11-12 19:53:20 UTC

W9615750-week4-task2

w9615750 — 2023-11-12 20:39:52 UTC

W9615750-WEEK7-TASK1

w9615750 — 2023-11-12 20:52:47 UTC

d3542107 week 7

2023-11-13 08:28:04 UTC

week 7

W9602985 - RUCHITHA BOLLENA

2023-11-13 09:59:01 UTC

WEEK2 LAB ACTIVITY

W9602985 - RUCHITHA BOLLENA

2023-11-13 10:02:46 UTC

WEEK 2 LAB ACTIVITY

W9602985 - RUCHITHA BOLLENA

2023-11-13 10:03:47 UTC

WEEK 5 LAB ACTIVITY

W9602985 - RUCHITHA BOLLENA

2023-11-13 10:04:52 UTC

WEEK 6 LAB ACTIVITY

W9602985 - RUCHITHA BOLLENA

2023-11-13 10:07:37 UTC

WEEK7 - LAB ACTIVITY

W9617714-Akhila Gaddam

2023-11-13 12:26:46 UTC

week-05-D3621057(siddhartha reddy)

d3621057 — 2023-11-13 13:24:31 UTC

Week7- Task - d3864799

d3864799_ — 2023-11-13 13:26:49 UTC

Week-06-D3621057( siddhartha reddy)

d3621057 — 2023-11-13 13:27:01 UTC

D3621057-Siddhartha Reddy (Week-07)

d3621057 — 2023-11-13 13:30:54 UTC

W9629423 Week7 Lab activity

w9629423 — 2023-11-13 13:36:51 UTC

week 8

q2195192_ — 2023-11-13 13:43:42 UTC

Week5-lab activity

d3701616_ — 2023-11-13 13:45:36 UTC

d3296301_ — 2023-11-13 13:50:26 UTC

Week-8 Anil Vadla W9647096

2023-11-13 13:56:56 UTC

w9609937-weel07 Lab activity

2023-11-13 14:25:52 UTC

w9624844 venkat reddy WEEK 7 Lab Activity

w9624844_ — 2023-11-13 14:31:23 UTC

w9624844 lab activity week 6

w9624844_ — 2023-11-13 14:42:40 UTC

w9609920 lab activity week 7

w9609920 — 2023-11-13 14:45:10 UTC

w9623537 week 7 lab activity - boddu srikanth

w9623537_ — 2023-11-13 14:48:24 UTC

week8 Task 1- w9611172 - Aishwarya Vishwanath

w9611172 — 2023-11-13 14:53:26 UTC

week 8 task 1

2023-11-13 15:01:40 UTC

week8 D3939804

2023-11-13 15:02:19 UTC

D3785076 week 8 Task 1

d3785076 — 2023-11-13 16:51:47 UTC

LAVANYA SANNAPANENI - W9611567 - WEEK 8 - CHALLANGE 1

w9611567 — 2023-11-13 17:19:56 UTC

ANUSHA GADDAM - W9624019_WEEK 6 - LAB

w9624019_ — 2023-11-13 19:42:43 UTC

ANUSHA GADDAM - W9624019_WEEK 4 - LAB

w9624019_ — 2023-11-13 21:43:53 UTC

B1862739

b1862739 — 2023-11-13 23:59:06 UTC

wfp market food prices visualizes 2016 average price development for Afghanistan and Algeria on a monthly basis.

LAVANYA SANNAPANENI -w9611567 - WEEK 8 - TASK 2

w9611567 — 2023-11-14 02:44:20 UTC

Sorting Top 3 employees for each project on Hourly basis

Week 8 Task

w9642675 — 2023-11-14 14:10:48 UTC

Week 8 Task

w9642448 — 2023-11-14 14:11:15 UTC

week8 task1 w9643793 harini peddineni

2023-11-14 14:58:52 UTC

week4 w9622282

w9622282 — 2023-11-14 19:12:21 UTC

week 5 (w9622282)

w9622282 — 2023-11-14 19:17:35 UTC

week 5(w9622282)

w9622282 — 2023-11-14 19:18:37 UTC

week6(w9622282)

w9622282 — 2023-11-14 19:20:34 UTC

WEEK 6(W9622282)

w9622282 — 2023-11-14 19:22:01 UTC

KPI

Md Hasan mia ( D3863750)

2023-11-15 00:10:27 UTC

Yaswanth Sai Chinthakayala - W9640628 - Week 7

w9640628 — 2023-11-15 07:22:25 UTC

D3737750 - Jose Ankitha - Week 7

d3737750 — 2023-11-15 10:41:05 UTC

W9621119

w9621119 — 2023-11-15 15:17:24 UTC

Task01

w9621119

w9621119 — 2023-11-15 16:17:43 UTC

Task02_ Gade Data

Week 7 - Task 1 - Nalinika

d3220766_ — 2023-11-15 17:44:33 UTC

Week 7 - Task 2 - Nalinika

d3220766_ — 2023-11-15 17:57:38 UTC

c2953566_ — 2023-11-16 00:25:12 UTC

Week 8 - Yuvraj - D3581054

2023-11-16 11:02:22 UTC

Lena Moroz - 1) Challenge Task: Formatting Options

ekmoroz99_ — 2023-11-16 13:33:26 UTC

Lena Moroz - 2) Advanced Power Query Techniques

ekmoroz99_ — 2023-11-16 13:34:18 UTC

D3773367-Rajitha Vaddempudi -Adventure Works Task

d3773367 — 2023-11-16 15:00:04 UTC

D3773367-Rajitha-Week7

d3773367 — 2023-11-16 15:05:44 UTC

week5_task2(D3935721)

kannnaiahgarinarendar191 — 2023-11-16 15:15:32 UTC

Week 4_Task 1 _ D3536212

naveenettadi — 2023-11-16 16:00:07 UTC

W9621119

w9621119 — 2023-11-17 05:05:25 UTC

Week08_Task01

w9621119

w9621119 — 2023-11-17 05:50:48 UTC

Week08_task02

Konda Reddy

c2994587 — 2023-11-17 10:19:54 UTC

Week 8 - Task 1

d3732968

2023-11-17 10:49:59 UTC

d3000623 - Samuel Junior Adjei

d3000623 — 2023-11-17 11:08:49 UTC

WEEK 8

2023-11-17 11:13:27 UTC

WEEK 8

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-11-17 13:19:18 UTC

Formatting Option Task

Paul Shail - Week 8 Formatting Challenge

w9194835_ — 2023-11-17 15:10:06 UTC

Week 07 Workbook Histogram

d3688144 — 2023-11-17 16:07:58 UTC

LARAIB FATIMA D3688144

Week 07 Application task

d3688144 — 2023-11-17 16:13:01 UTC

Laraib Fatima D3688144

d3618787

d3618787_ — 2023-11-17 18:04:25 UTC

week8 task 1 d3618787

d3618787_ — 2023-11-17 18:59:29 UTC

D3689145-Nnabugwu Amaefula

d3689145 — 2023-11-17 19:22:44 UTC

Week 8 -Task 1

D3689145-Nnabugwu Amaefula

d3689145 — 2023-11-17 20:13:03 UTC

task2

d3618787_ — 2023-11-17 20:14:36 UTC

d3618787 week 4

d3618787_ — 2023-11-17 20:18:33 UTC

posted before the Thursday slot was made

Q2310773 Suliat Olayiwola,Week 8

q2310773 — 2023-11-19 15:19:20 UTC

Q2310773,Suliat Olayiwola,Task2

q2310773 — 2023-11-19 18:00:38 UTC

week9 data analytics task bhavana yalavarthi

d3591118 — 2023-11-20 11:25:06 UTC

week9 data analytics task bhavana yalavarthi

week9 data analytics task2 bhavana yalavarthi

d3591118 — 2023-11-20 11:25:41 UTC

week9 data analytics task2 bhavana yalavarthi

vamsi-D3787937

2023-11-20 11:27:02 UTC

vamsi-D3787937

2023-11-20 11:27:37 UTC

vamsi-D3787937

week 8-Q2252114-Nazia Khalid

q2252114_ — 2023-11-20 11:29:03 UTC

Week 9-D3675166 sai ram Thota

2023-11-20 11:32:44 UTC

d3722574-week9

2023-11-20 11:52:45 UTC

shashidhar reddy surakanti

d3722574-week9

2023-11-20 11:54:48 UTC

shashidhar reddy surakanti

D3637265Nikhil_week9

2023-11-20 11:58:43 UTC

D3722378_vijay_week9

2023-11-20 12:05:38 UTC

D3840711 - Week 09 - Task 1

2023-11-20 12:45:45 UTC

Pravallika Sunkireddy

D3840711 - Week 09 - Task 2

2023-11-20 12:46:27 UTC

Pravallika Sunkireddy

D3840711 - Week 09 - Task 03

2023-11-20 12:47:16 UTC

Pravallika Sunkireddy

D3840711 - Week 07 - Task 1

2023-11-20 12:50:53 UTC

Pravallika Sunkireddy

D3737729- WEEK 9- MERIN

merinmariyamichael — 2023-11-20 12:52:08 UTC

Week- 9 W9647096

2023-11-20 12:52:24 UTC

D3737729- Week 9- Merin

merinmariyamichael — 2023-11-20 12:54:09 UTC

D3737729-Week 9- Merin

merinmariyamichael — 2023-11-20 12:54:44 UTC

Q2195192 week 09

q2195192_ — 2023-11-20 12:55:49 UTC

A0029748 week 9 a

a0029748_ — 2023-11-20 12:58:30 UTC

W9638957. week 9

2023-11-20 12:59:22 UTC

d3667499 week9

2023-11-20 13:01:00 UTC

A0029748 week 9

a0029748_ — 2023-11-20 13:03:20 UTC

Week 09 - task 01

q2464827 — 2023-11-20 13:04:08 UTC

Week 09 - task 02

q2464827 — 2023-11-20 13:04:56 UTC

D3840711 - Week 08 - Self Assessment

2023-11-20 13:20:34 UTC

Pravallika Sunkireddy

D3737729- Week 9 - Merin

merinmariyamichael — 2023-11-20 13:38:19 UTC

d3722574-week 7

2023-11-20 13:41:51 UTC

shashidhar reddy surakanti

d3722574-week 8

2023-11-20 13:42:44 UTC

shashidhar reddy surakanti

Week 9 Task 1

2023-11-20 13:44:10 UTC

Week 09 - task 03

q2464827 — 2023-11-20 13:47:15 UTC

Sadaur Rahman Q2259850

2023-11-20 13:47:41 UTC

Week 9 Task 1a

Sadaur Rahman Q2259850

2023-11-20 13:47:56 UTC

week 9 task 1b

W96389657

2023-11-20 13:47:58 UTC

creating one to one relations for different tables.

Sadaur Rahman Q2259850

2023-11-20 13:48:40 UTC

week 9 task 1c

Week - 9

2023-11-20 13:58:01 UTC

D3747948

Week 9

D3008580 ESTHER MAKANJUOLA

d3008580_ — 2023-11-20 14:23:45 UTC

https://padlet.com/d3008580_/d3008580-esther-makanjuola-yqv4dsdbud8ksx77/wish/2796455155

GUDEM PRIYANKA -D3901263 WEEK 09

2023-11-20 14:33:03 UTC

d3296301_ — 2023-11-20 14:34:03 UTC

d3296301_ — 2023-11-20 14:35:34 UTC

d3296301_ — 2023-11-20 14:36:27 UTC

D3621057- siddhartha reddy(week-08)

d3621057 — 2023-11-20 14:38:19 UTC

D3621057-Siddhartha Reddy Week-09

d3621057 — 2023-11-20 14:43:46 UTC

Week 2

2023-11-20 14:45:14 UTC

Q2252114-Nazia Khalid-Task1

2023-11-20 14:45:57 UTC

q2252114-Nazia Khalid-task 1

2023-11-20 14:47:09 UTC

Q2252114-Nazia Khalid-task1

2023-11-20 14:47:46 UTC

Q2252114-Nazia Khalid-Task 2

2023-11-20 14:48:26 UTC

Week 9 - D3812242

2023-11-20 14:48:54 UTC

D3701616-Week 9

d3701616_ — 2023-11-20 14:54:09 UTC

week9 - w9611172- Aishwarya Vishwanath - task1

w9611172 — 2023-11-20 14:56:13 UTC

week-9_MARIAM-ARSHAD_D3676772

d3676772_ — 2023-11-20 14:56:42 UTC

Sadaur Rahman Q2259850

2023-11-20 14:57:10 UTC

week 9 task 2

week9 - w9611172 - Aishwarya Vishwanath - task1

w9611172 — 2023-11-20 14:57:17 UTC

weeek 9 task 2

w9619424_ — 2023-11-20 14:57:28 UTC

week9-w9611172-Aishwarya Vishwanath - task 1

w9611172 — 2023-11-20 14:58:11 UTC

Week-9_MARIAM-ARSHAD_D3676772

d3676772_ — 2023-11-20 14:58:28 UTC

week9 - w9611172 - Aishwarya Vishwanath - task2

w9611172 — 2023-11-20 14:58:56 UTC

week9 -1D3939804

2023-11-20 14:59:24 UTC

Week-9_MARIAM-ARSHAD_D3676772

d3676772_ — 2023-11-20 14:59:34 UTC

week9 -2 D3939804

2023-11-20 15:00:32 UTC

Week-9_MARIAM-ARSHAD_D3676772

d3676772_ — 2023-11-20 15:00:54 UTC

W9647845 - HUMERA SANIYA

w9647845 — 2023-11-20 15:12:27 UTC

WEEK 2

W9615750-week9-task1

w9615750 — 2023-11-20 15:33:13 UTC

W9615750-week9-task1

w9615750 — 2023-11-20 15:33:41 UTC

W9615750-week9-task1

w9615750 — 2023-11-20 15:34:09 UTC

PASALA SRIRAM WEEK 9

w9633495_ — 2023-11-20 16:36:52 UTC

W9633495

PASALA SRIRAM WEEK 9 W9633495

w9633495_ — 2023-11-20 16:37:38 UTC

PASALA SRIRAM WEEK 9 W9633495

w9633495_ — 2023-11-20 16:38:15 UTC

LAVANYA SANNAPANENI W9611567 WEEK 9 DATA MODELLING - TASK 2

w9611567 — 2023-11-21 03:45:23 UTC

w9639185 -week9

sitagarisampath19 — 2023-11-21 14:15:58 UTC

(w9639185) week-9

sitagarisampath19 — 2023-11-21 14:16:46 UTC

ANUSHA GADDAM_W9624019_WEEK 8

2023-11-21 14:17:14 UTC

week9 tas1.1 w9643793 harini peddineni

2023-11-21 14:22:46 UTC

D3773367-week9-challenge1

d3773367 — 2023-11-21 14:22:58 UTC

week9 tas1.2 w9643793 harini peddineni

2023-11-21 14:23:23 UTC

week9 tas1.3 w9643793 harini peddineni

2023-11-21 14:24:32 UTC

W946371

w9647371 — 2023-11-21 14:24:40 UTC

D3773367-week9

d3773367 — 2023-11-21 14:25:15 UTC

D3773367-Week9

d3773367 — 2023-11-21 14:26:23 UTC

W9647371

w9647371 — 2023-11-21 14:27:03 UTC

W9647371

w9647371 — 2023-11-21 14:27:57 UTC

d3656107 wEEK 09

2023-11-21 14:39:47 UTC

D3903038 week 9 task1

2023-11-21 14:41:02 UTC

d3656107

2023-11-21 14:41:21 UTC

D3825206

balammavattivalla23 — 2023-11-21 14:41:53 UTC

D3673865- week 8

2023-11-21 14:42:11 UTC

D3825206

balammavattivalla23 — 2023-11-21 14:42:17 UTC

D3825206

balammavattivalla23 — 2023-11-21 14:42:56 UTC

d3656107

2023-11-21 14:42:57 UTC

D3903038 week 9

2023-11-21 14:43:27 UTC

D3470473 Week 9

2023-11-21 14:43:49 UTC

D3470473 Week9

2023-11-21 14:44:26 UTC

D3903038 week 9

2023-11-21 14:44:28 UTC

D3470473 Week9

2023-11-21 14:44:57 UTC

ANUSHA GADDAM_W9624019_WEEK 8

2023-11-21 14:59:23 UTC

Week9_C2861872_Idowu OBISANYA_Task1

2023-11-21 20:00:30 UTC

Week9_C2861872_Idowu OBISANYA_Task2

2023-11-21 20:01:11 UTC

Week9_C2861872_Idowu OBISANYA_Task3

2023-11-21 20:01:49 UTC

Week9_C2861872_Idowu OBISANYA_Task4b

2023-11-21 20:02:52 UTC

Week9_C2861872_Idowu OBISANYA_Task4a

2023-11-21 20:04:29 UTC

POWER BI WEEK 9 ADEFILA EBENEZER OLUSEYI

d3742840 — 2023-11-22 09:29:26 UTC

POWER BI WEEK 9 ADEFILA EBENEZER

d3742840 — 2023-11-22 09:30:40 UTC

POWER BI WEEK 9 ADEFILA EBENEZER

d3742840 — 2023-11-22 09:32:16 UTC

Nazia Khalid-q2252114-week8-task2

q2252114_ — 2023-11-22 11:28:51 UTC

Akhila Gaddam - W9617714

2023-11-22 12:01:33 UTC

Task 1

Akhila Gaddam - W9617714

2023-11-22 12:02:05 UTC

Task 2

Power BI Adefila Ebenezer week 9 padlet

2023-11-22 15:06:25 UTC

D3737750-Jose Ankitha-Week 8 lab

d3737750 — 2023-11-22 16:07:23 UTC

W9621119

w9621119 — 2023-11-23 09:58:32 UTC

Task01 - Prospective Buyers

W9621119

w9621119 — 2023-11-23 10:00:50 UTC

Task02- FactInternetSales forecast for year 2013

ANUSHA GADDAM _ W9624019 - WEEK 9

2023-11-23 10:01:28 UTC

W9621119

w9621119 — 2023-11-23 10:02:22 UTC

Task01- FactInternetSales - average scatter plot for Unit price and Sum of salesamount

Akhila Gaddam - W9617714

2023-11-23 10:26:21 UTC

Akhila Gaddam - w9617714

2023-11-23 10:30:40 UTC

w9635198 — 2023-11-23 10:32:03 UTC

Week 9 - Task A - W9635198

w9632164----week-9

w9632164_ — 2023-11-23 10:35:42 UTC

Week 9 - Task B - W9635198

w9635198 — 2023-11-23 10:40:04 UTC

Week 9 - Task B - W9635198

ANUSHA GADDAM_W9624019_WEEk9

2023-11-23 10:52:36 UTC

W9621119

w9621119 — 2023-11-23 10:55:05 UTC

W9621119

w9621119 — 2023-11-23 10:55:52 UTC

Task02 - visualization for the model view

d3000623 - Samuel Junior Adjei

d3000623 — 2023-11-24 09:34:27 UTC

week9-1 Lab - D3732968 UDAY REDDY

2023-11-24 10:19:06 UTC

Week9-2 Lab - D3732968 UDAY REDDY

2023-11-24 10:20:36 UTC

Week 9-3 Lab - D3732968 UDAY REDDY

2023-11-24 10:22:05 UTC

Task B - Ankita Ashok Chavan(W9609171)

2023-11-24 10:23:26 UTC

D3617913_WEEK09-1

2023-11-24 10:37:50 UTC

D3617913_WEEK09-2

2023-11-24 10:38:34 UTC

srikanth(D3764039)

2023-11-24 10:43:19 UTC

srikanth(D3764039) week 9

2023-11-24 10:49:59 UTC

Muhammad Bakhtiar

c2732130_ — 2023-11-24 10:59:07 UTC

(

week 9 d3446836

2023-11-24 11:05:11 UTC

week 9 d3542107

2023-11-24 11:06:51 UTC

week 9 d3542107

d3000623- Samuel Junior Adjei

d3000623 — 2023-11-24 11:14:08 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-11-24 13:43:26 UTC

James, Chiedozie James - d3458961

JamesChiedozieJames_d3458961 — 2023-11-24 13:46:09 UTC

Week10 task1 D3591118 Bhavana Yalavarthi

2023-11-27 12:00:37 UTC

Week10 task1 D3591118 Bhavana Yalavarthi

week10 task2 D3591118 Bhavana Yalavarthi

2023-11-27 12:10:47 UTC

week10 task2 D3591118 Bhavana Yalavarthi

week10 task3 D3591118 Bhavana Yalavarthi

2023-11-27 12:11:19 UTC

week10 task3 D3591118 Bhavana Yalavarthi

week10 task4 D3591118 Bhavana Yalavarthi

2023-11-27 12:11:54 UTC

week10 task4 D3591118 Bhavana Yalavarthi

Week 10 Sai Ram Thota

2023-11-27 12:12:03 UTC

2023-11-27 12:13:29 UTC

week10 task2 scenario D3591118 Bhavana Yalavarthi

2023-11-27 12:13:36 UTC

week10 task2 scenario D3591118 Bhavana Yalavarthi

vamsireddy-D3787937

2023-11-27 12:14:55 UTC

Week 10 Sai ram thota

2023-11-27 12:16:01 UTC

vamsireddy-D3787937

2023-11-27 12:16:34 UTC

vamsireddy-D3787937

2023-11-27 12:16:42 UTC

vamsireddy-D3787937

2023-11-27 12:17:52 UTC

vamsireddy-D3787937

2023-11-27 12:18:29 UTC

Vijayreddy_D3722378

2023-11-27 12:21:08 UTC

Nikhil_D3637265_week10

d3637265 — 2023-11-27 12:32:21 UTC

Week-10 W9647096

2023-11-27 13:24:38 UTC

Week 10 - TASK A

q2464827 — 2023-11-27 13:29:22 UTC

Week 10 - Task B

q2464827 — 2023-11-27 13:29:52 UTC

D3737729- MERIN - WEEK 10

merinmariyamichael — 2023-11-27 13:30:14 UTC

Week 10 -TASK C

q2464827 — 2023-11-27 13:30:39 UTC

D3737729-MERIN-WEEK10

merinmariyamichael — 2023-11-27 13:31:12 UTC

D3737729-MERIN-WEEK10

merinmariyamichael — 2023-11-27 13:31:39 UTC

D3737729-MERIN-WEEK10

merinmariyamichael — 2023-11-27 13:32:36 UTC

D3737729-MERIN-WEEK10

merinmariyamichael — 2023-11-27 13:34:00 UTC

Komal Khan-Week 10

2023-11-27 13:39:02 UTC

Komal Khan-Week 10

2023-11-27 13:41:46 UTC

Komal Khan-Week 10

2023-11-27 13:42:43 UTC

week 10,d3667499

2023-11-27 13:45:10 UTC

week 10,d3667499

2023-11-27 13:45:50 UTC

A0029748

a0029748_ — 2023-11-27 13:55:33 UTC

NazaKhalid-Q2252114(week10)

2023-11-27 14:30:31 UTC

NaziaKhalid-Q2252114(week10)

2023-11-27 14:36:35 UTC

NaziaKhalid-(Week10)

2023-11-27 14:41:51 UTC

NaziaKhalid-Q2252114(Week10)

2023-11-27 14:45:00 UTC

NaziaKhalid-Q2252114-Week10

2023-11-27 14:50:09 UTC

W9611172 - Aishwarya Vishwanath - week 10

w9611172 — 2023-11-27 14:55:56 UTC

week 9

w9619424_ — 2023-11-27 15:02:41 UTC

pallur navven kumar

w9618784_ — 2023-11-27 17:19:52 UTC

pallur naveen kumar

w9618784_ — 2023-11-27 17:20:21 UTC

pallur naveen kumar

w9618784_ — 2023-11-27 17:21:01 UTC

pallur naveen kumar

w9618784_ — 2023-11-27 17:21:31 UTC

pallur naveen kumar

w9618784_ — 2023-11-27 17:23:29 UTC

pallur naveen kumar

w9618784_ — 2023-11-27 17:25:22 UTC

GUDEM PRIYANKA - D3901263 _WEEK_07

2023-11-28 13:18:12 UTC

Pravalika Chithanuri_D3834053_Week_01

d3834053_ — 2023-11-28 13:23:10 UTC

Pravalika Chithanuri_D3834053_Week02

d3834053_ — 2023-11-28 13:24:47 UTC

Pravalika Chithanuri_D3834053_Week03

d3834053_ — 2023-11-28 13:25:07 UTC

Pravalika Chithanuri_D3834053_Week07

d3834053_ — 2023-11-28 13:25:42 UTC

Pravalika Chithanuri_D3834053_Week09

d3834053_ — 2023-11-28 13:26:07 UTC

w9647371

d3656107 — 2023-11-28 14:56:43 UTC

D3252507 -week10-task

kusumramola95_ — 2023-11-29 09:24:52 UTC

Q2310773, Suliat Olayiwola.week9

q2310773 — 2023-11-30 08:15:23 UTC

Q2310773,suliat Olayiwola.Week9

q2310773 — 2023-11-30 08:19:08 UTC

Q2310773,Suliat Olayiwola.Week9

q2310773 — 2023-11-30 08:22:00 UTC

W9621119 - Task 01

w9621119 — 2023-11-30 10:32:27 UTC

W9621119 - Task 02

w9621119 — 2023-11-30 10:33:25 UTC

W9621119 - Task 03

w9621119 — 2023-11-30 10:34:05 UTC

W9621119 - Task 04

w9621119 — 2023-11-30 10:34:45 UTC

W9621119 - Comparative Analysis

w9621119 — 2023-11-30 11:39:29 UTC

D3732968 - Udaykiran Reddy Kunta - week 10 - 1

2023-12-01 10:54:55 UTC

D3732968 - Udaykiran Reddy Kunta - week 10 - 2

2023-12-01 10:56:43 UTC

D3732968 - Udaykiran Reddy Kunta - week 10 - 3

2023-12-01 10:57:14 UTC

d3542107

2023-12-01 10:59:59 UTC

week10

W9095578 Emma Bates - Week 10 Task 1

w9095578 — 2023-12-01 13:01:50 UTC

A selection of graphs from Task 1 arranged into a nice pink dashboard :)

D3000623 - Samuel Junior Adjei

d3000623 — 2023-12-01 18:32:04 UTC

wee8 Challenge 1-Ridwan Ogundeji

d3000496 — 2023-12-03 00:21:43 UTC

Week 8 challenge 2-Ridwan Ogundeji

d3000496 — 2023-12-03 00:22:46 UTC

Week 9 Task 3-Ridwan Ogundeji

d3000496 — 2023-12-03 20:29:40 UTC

Week 9 Task 2-Ridwan Ogundeji

d3000496 — 2023-12-03 20:30:07 UTC

Week 9 Task 1-Ridwan Ogundeji

d3000496 — 2023-12-03 20:30:31 UTC

Week 9 Modelling challenge-Ridwan Ogundeji

d3000496 — 2023-12-03 21:17:10 UTC

Week11 D3722378_Vijay

2023-12-04 12:00:52 UTC

d3591118 week11 task bhavana yalavarthi

2023-12-04 12:07:19 UTC

d3591118 week11 task bhavana yalavarthi

week11 task2 bhavana yalavarthi d3591118

2023-12-04 12:08:50 UTC

week11 task2 bhavana yalavarthi d3591118

Nikhil_week11_D3637265

d3637265 — 2023-12-04 12:39:12 UTC

D3737729-MERIN-WEEK11

merinmariyamichael — 2023-12-04 13:01:49 UTC

D3737729-MERIN -WEEK11

merinmariyamichael — 2023-12-04 13:02:13 UTC

Komal Khan Task 1

2023-12-04 13:20:01 UTC

Komal Khan Task 2

2023-12-04 13:20:23 UTC

Komal Khan Task 3

2023-12-04 13:20:46 UTC

Jisna jOY -1

2023-12-04 13:22:42 UTC

Jisna Joy- 2

2023-12-04 13:23:16 UTC

Jisna Joy- 3

2023-12-04 13:23:43 UTC

week 11 d3008580 Esther Abimbola makanjuola

2023-12-04 13:32:44 UTC

A0029748- Edmund

a0029748_ — 2023-12-04 13:33:12 UTC

week 11 d3008580 Esther Abimbola makanjuola

2023-12-04 13:33:35 UTC

week 11 d3008580 Esther Abimbola makanjuola

2023-12-04 13:34:11 UTC

week 11 d3008580 Esther Abimbola makanjuola

2023-12-04 13:34:34 UTC

d3008580 esther abimbola makanjuola

2023-12-04 13:36:39 UTC

w9619644-- PAVAN KUMAR KADIYALA--PART --01

w9619644 — 2023-12-04 13:38:40 UTC

W9619644--PAVAN KUMAR KADIYALA--PART--02

w9619644 — 2023-12-04 13:40:34 UTC

W9619644--PAVAN KUMAR KADIYALA--PART-03

w9619644 — 2023-12-04 13:41:05 UTC

w9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 13:41:38 UTC

W9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 13:42:50 UTC

Q2252114-NaziaKhalid-(Week11-task1)

2023-12-04 13:48:22 UTC

W9619644--PAVAN KUMAR KADIYALA--PART --01

w9619644 — 2023-12-04 13:49:18 UTC

W9619644--PAVAN KUMAR KADIYALA--PART--02

w9619644 — 2023-12-04 13:50:09 UTC

W9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 13:50:31 UTC

W9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 13:50:52 UTC

W9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 13:51:29 UTC

W9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 13:51:54 UTC

W9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 13:52:16 UTC

weel 11,d3667499

2023-12-04 13:53:51 UTC

WK11 - TASK A

q2464827 — 2023-12-04 13:57:44 UTC

WK11 - TASK B

q2464827 — 2023-12-04 13:58:06 UTC

WK11 - TASK C

q2464827 — 2023-12-04 13:58:38 UTC

Q2252114-NaziaKhalid-(Week11-task2)

2023-12-04 14:00:12 UTC

W9625845 - THIRUMALA SAIKRISHNA JAKKULA

w9625845 — 2023-12-04 14:00:36 UTC

k.vamshi krishna

2023-12-04 14:01:37 UTC

w9633536

k.vamshi krishna

2023-12-04 14:08:26 UTC

w9633536

Q2252114-NaziaKhalid(Week11-task3)

2023-12-04 14:26:40 UTC

week 11

w9619424_ — 2023-12-04 14:40:54 UTC

week 9 task 1

w9619424_ — 2023-12-04 14:45:42 UTC

Jisna Joy- Week 10 -

2023-12-05 08:51:34 UTC

Jisna Joy- Week 09 -1

2023-12-05 08:53:00 UTC

Jisna Joy- week 9-2

2023-12-05 08:54:14 UTC

Animated Charts-D3656107

d3656107 — 2023-12-05 14:37:10 UTC

D3656107-Animated Charts-02

d3656107 — 2023-12-05 14:39:09 UTC

Animated Charts-03 D3656107

d3656107 — 2023-12-05 14:40:07 UTC

d3773367-Animated Charts

d3773367 — 2023-12-05 14:43:22 UTC

d3773367-Animated Bar Chart Race

d3773367 — 2023-12-05 14:45:35 UTC

d3773367-week10

d3773367 — 2023-12-05 14:49:55 UTC

d3773367-Key Influencers

d3773367 — 2023-12-05 14:52:14 UTC

ANUSHA GADDAM_W9624019_WEEK-5

2023-12-05 14:52:14 UTC

ANUSHA GADDAM_W9624019-WEEK 5

2023-12-05 14:53:56 UTC

D3825206

2023-12-05 14:55:29 UTC

ANUSHA GADDAM_W9624019-WEEK 5-LAB

2023-12-05 14:56:08 UTC

Week 11.W9593193.Sandhyapadala

2023-12-05 14:59:50 UTC

W9617422 - DEVAKANTH GOPISETTY

w9617422 — 2023-12-05 15:28:07 UTC

W9617422 - DEVAKANTH GOPISETTY

w9617422 — 2023-12-05 15:33:11 UTC

W9617422 - DEVAKANTH GOPISETTY

w9617422 — 2023-12-05 15:35:24 UTC

week8 - W9629423

w9629423 — 2023-12-05 16:31:26 UTC

D3713088 - Neethu Varghese

d3713088 — 2023-12-05 18:53:41 UTC

D3713088-NV

d3713088 — 2023-12-05 18:54:39 UTC

2010

D3713088-NV

d3713088 — 2023-12-05 18:55:16 UTC

2011

D3713088-NV

d3713088 — 2023-12-05 18:56:02 UTC

2012

D3713088-NV

d3713088 — 2023-12-05 18:57:08 UTC

2013

D3713088-NV

d3713088 — 2023-12-05 18:57:45 UTC

2014

D3741715 -Jisna Joy

2023-12-05 19:55:26 UTC

D3741715-Jisna Joy Week 4-1

2023-12-05 21:43:29 UTC

d3741715-Jisna Joy-Week 4-2

2023-12-05 21:44:15 UTC

D3741715- Jisna Joy -1

d3741715_ — 2023-12-06 11:17:57 UTC

D3741715-Jisna Joy -Week 5- 2

d3741715_ — 2023-12-06 11:20:07 UTC

D3741715- Jisna Joy -Week 6-1

d3741715_ — 2023-12-06 17:38:46 UTC

D3741715- Jisna Joy-Week 6-2

d3741715_ — 2023-12-06 17:39:24 UTC

D3741715-Jisna Joy- Week 7-1

d3741715_ — 2023-12-06 21:32:57 UTC

w9621119

w9621119 — 2023-12-07 11:26:09 UTC

Week11_Task01

W9621119

w9621119 — 2023-12-07 11:27:52 UTC

Week11_task02

W9621119

w9621119 — 2023-12-07 11:31:19 UTC

Week11_Task03_01

W9621119

w9621119 — 2023-12-07 11:31:53 UTC

Week11_Task03_02

W9621119

w9621119 — 2023-12-07 11:32:48 UTC

Week11_Task03_03

W9621119

w9621119 — 2023-12-07 11:33:38 UTC

Week11_Task03_04

w9621119

w9621119 — 2023-12-07 12:09:06 UTC

Week11_Infographics in Power BI

UDAYKIRAN REDDY KUNTA D3732968 WEEK 11 - 1

2023-12-08 10:47:38 UTC

UDAYKIRAN REDDY KUNTA D3732968 WEEK 11 - 2

2023-12-08 10:50:19 UTC

Week 11- Task 1-D3689145

d3689145 — 2023-12-08 11:00:38 UTC

Nnabugwu Amaefula D3689145

D3689145-Nnabugwu Amaefula. Week 11- Task 2

d3689145 — 2023-12-08 11:03:06 UTC

D3689145- Nnabugwu Amaefula. Week 11- Task 3

d3689145 — 2023-12-08 11:04:21 UTC

d3542107

2023-12-08 11:05:49 UTC

week11a

d3542107

2023-12-08 11:07:49 UTC

week11b

d3000623 - Samuel Junior Adjei

d3000623 — 2023-12-08 12:22:59 UTC

d3000623 -SAMUEL JUNIOR ADJEI

d3000623 — 2023-12-08 12:28:04 UTC

D3000623 - SAMUEL JUNIOR ADJEI

d3000623 — 2023-12-08 12:33:20 UTC

Somoye Adetunji (D3108611) - Lab Session (Week 11): Task 1 - Animated Chart with Play Axis

d3108611_ — 2023-12-08 14:40:23 UTC

Somoye Adetunji (D3108611) - Lab Session (Week 11): Task 2 - Animated Bar Chart Race

d3108611_ — 2023-12-08 14:40:38 UTC

Somoye Adetunji (D3108611) - Lab Session (Week 11): Task 3 - Timeline Storyteller

d3108611_ — 2023-12-08 14:41:17 UTC

Somoye Adetunji (D3108611) - Lab Session (Week 11): Task 3 - Timeline Storyteller

d3108611_ — 2023-12-08 14:41:30 UTC

Somoye Adetunji (D3108611) Lab Session (Week 11): Task 3 - Timeline Storyteller

d3108611_ — 2023-12-08 14:41:42 UTC

Somoye Adetunji (D3108611) - Lab Session (Week 11): Task 3 - Timeline Storyteller

d3108611_ — 2023-12-08 14:42:02 UTC

ANUSHA GADDAM(W9624019)-WEEK7-Lab

w9624019_ — 2023-12-11 17:36:09 UTC

Q2162972 week 11

2023-12-12 14:43:54 UTC

TEMITAYO(Q2162972)

2023-12-14 14:10:47 UTC

Q2162972-Temitayo odeleke

2023-12-14 17:15:21 UTC

q2310773,Suliat Olayiwola, week 10

sobliat83 — 2023-12-16 09:35:24 UTC

Q2310773,Suliat Olayiwola, week10

sobliat83 — 2023-12-16 09:40:21 UTC

Q2310773,Suliat Olayiwola, week10

sobliat83 — 2023-12-16 09:41:10 UTC

Q2310773,Suliat Olayiwola, week10

sobliat83 — 2023-12-16 09:41:39 UTC

Q2310773,Suliat Olayiwola, week10

sobliat83 — 2023-12-16 09:50:36 UTC

Animated chart with play axis

Q2310773,Suliat Olayiwola, week 11,task2

sobliat83 — 2023-12-16 11:07:21 UTC

Animated Bar Chart Race for data trends.

Q2310773, Suliat Olayiwola, week 11

sobliat83 — 2023-12-16 12:16:40 UTC

Timeline Storyteller Visual

Q2310773,Suliat Olayiwola, week 11

sobliat83 — 2023-12-16 12:17:45 UTC

Timeline Storyteller

q2310773, Suliat Olayiwola, week11

sobliat83 — 2023-12-16 12:19:49 UTC

Timeline Storyteller visual of American Idol"

sobliat83 — 2024-01-05 13:48:59 UTC

sobliat83 — 2024-01-05 17:36:45 UTC

sobliat83 — 2024-01-05 17:40:17 UTC

D3742204 - Earthquake Risk and Hazard Analysis

2024-01-10 02:04:26 UTC

An overview of analysis for stakeholders to observe different conditions and consider applicable actions in preparation.

Robertson Ojeka Owulo

c2514628 — 2024-01-10 13:51:04 UTC

WEEK 2 D3459168 NJIDEKA LINDA DIKE

2024-06-11 21:20:00 UTC

NJIDEKA LINDA DIKE (D3459168) WEEK 7

2024-06-11 21:35:48 UTC