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Hi,
I am studying info tech & data analytics. I started this degree to help support my career transition. Now that I am in a field that I love I am trying to wrap my degree up as a personal goal.

I've selected a isochrone map of travel times from central Melbourne via rail network from 1920's. I think it is a great example of how visualisations can convey data in a way that is more relatable and useful for the user than the raw data itself. I also find it interesting how the design principles and good data UX were understood long before we were using computers, with many of the same principles being used today.

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Hey guys, Im John. I am a bit late to posting a visualisation that I like due to juggling multiple courses and trying to get assignments done from Study Period 5. Doing my best to catchup! Anyways, I am studying Bachelors of Software Development and I am on my 3rd Year.

This course is an elective, and I chose this course because I have completed Big Data Concepts and currently undertaking AI and Machine Learning and all of these 3 courses are interconnected with each other so I decided, why not broaden my knowledge even more about Big Data and how it can be visualised.

I chose this visualisation because Covid-19 has been top of mind throughout 2020 till now in 2022. As we all know, COVID-19 is not the only pandemic the world has faced throughout the last centuries and, I found it really interesting how it compared to the other pandemics the world has faced. But that's not what we are here for.

The way they visualised the different pandemics through 3D art with a combination of vibrant colours is perfect. It caught my eyes at first glance, which allowed me to read through the data that is being visualised. I think this is a perfect way to visualise data.

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Hi All, I am studying Bachelor of Data Analytics as my second bachelor's degree. I found this graph interesting showing the popularity of cloud providers around the globe. This graph is interesting in many aspects as visualisation contains colors and countries in a geographical area. Different trends can be found easily for example AWS is a more popular cloud provider in Australia as compared to New Zealand where Microsoft Azure is more popular. Also, when checking GCP is not most popular in a single region however it can be equally popular everywhere but in a smaller amount than other providers.

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I care not for sports but I found this graphic intriguing because allows the audience to see the granular detail and big picture, almost simultaneously.

At first glance, it is a tangled web of all competitors. However, the 'mess' of lines convey the constant change of ranks as competitors race ahead, fall behind or is knocked out altogether.

Hovering over each line, representing each cyclist, their struggles on the treacherous routes are magnified; ranks wobble up and down. Only the elite maintain a sense of consistency in their ranking.

I hope to achieve in this course, to learn some tips in how to condense information into a visual representation that is engaging, digestible and actionable.

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Howdy, I'm Tim.
X for privacy since this is a public pad!

I've been interested in mapping big data regarding cybersecurity for some time. This course should help me in understanding theory of and the handling of data visualisation in more ways than my current Splunk usage!

My example is a data map by Arbor Networks (with help from Google) specifically relating to the mapping of DDoS attacks in 3 planes - geo-location, data size, and data type. It is sourced from digitalattackmap.com and succinctly illustrates this triangular relationship to a non-technical user (hopefully!?). Anyway, something similar may be too complex for R and ggplot to efficiently make, but I'm sure I'll find that out.

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Hi, I'm Ben and I'm also studying the bachelor of Data Analytics. I'm in my final year on the degree and am looking forward to getting stuck into learning how to visualise data with a variety of different tools.

I've chosen this particular visualisation because I'm hugely passionate about soccer and find it amazingly interesting how much the world game has grown financially since 1982-2018 (I'm sure new figures will be released for the upcoming world cup later this year). The layout and presentation of the data is easy to read and interpret which makes the viewer of the visualisation understand the bias within seconds. The simplicity of this visualisation is so powerful which is the main reason I chose it.

For me, the main objective of this particular course is to become proficient at summarising data within a visualisation using many tools. After all, we know a picture/visualisation really does tell a thousand words.

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Hey All, I'm Brendan, and I'm in the online Bachelor of Data Analytics. I currently work full-time as a Solution Analyst dealing primarily with Data, Reporting, BI, and Engineering. I hope to get some useable skills from this course that I can take into work pretty much the next day, and carry with me throughout my career (as well as help identify bad data and visuals in the wild!).

I particularly liked the Schemaball visualisation as it maps the relationship between SQL database tables. Not only does this look cool, but as a data professional I know how useful it might be for someone as well to identify what may be impacted by a localised change. I think I might even try it out tomorrow.

Another really cool interactive visualisation I know of is the Fortinet Threat Map. This animates, in close to real-time, threats that Fortinet have identified over their networks. It can also be interacted with to focus on just a single country. Give it a search and watch it for a minute - it's really cool.

B

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Hi everyone, I'm Tessa, and i've selected this visualisation which funnily enough represents how to select visualisations via an interactive decision tree.
I've found this website really useful throughout other courses in the Bachelor of Data Analytics, and it will be interesting to see how it holds up after completing this course.
I'm looking forward to this course as I currently work as a Data Analyst, and would like to improve my storytelling skills & express creativity via visualisations.

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Hello all. I'm James Gardner. This screenshot is the global stockpile of nuclear warheads by country.
I don't know, I really like the colouring and story it is telling around how disproportionate  the US and USSR/Russia are to the rest of the world. There is some hope though with the rapid decline after 1985.
I work in a HSE team in the mining sector. I'm working with more and more data these days, and I'm doing the data analytics degree to try and develop more in this area. I'd really like my area to move away form their obsession with poorly created line graphs that are not particularly useful...yes I see the irony as I posted a line graph, but it's much nicer than the ones we use at work.

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Hi everyone, my name is Lois and I currently studying Bachelor of Data Analytics.  I have been working with data for 15 years now and love playing with numbers as they can tell a very powerful story.

My visualisation if from the John Hopkins University for the COVID-19 cases worldwide. I like using maps because it can show hot spots for the business and show were potential growth can be and even loss or as I have felt in the last 12 months is more on the rain so being able to see visually on a map can be very powerful.

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Hi all,

My name is Sheldon. I was previously working in Medical Science, and I'm now studying Data Analytics for a career change or potentially combining both fields.

The visualisation I have chosen shows the general feelings populating the "We Feel Fine" site on any given day. I found it particularly eye catching, but I also really liked the idea. A lot of the visualisations cover quite serious topics, but I liked that this was more light-hearted.

This course is one of a few I've been looking forward to. I'm not really into (or very good at) the coding side of things, but I enjoy the other end of things - reporting, visualisation, etc.

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Hi, I am Lisa and I am studying both the Bachelor of IT and the Bachelor of Data Analytics.

Found this site which I thought was very cool. It's a timeline of events/articles in wikipedia between 1600 and 2000. Each dot represents an article you can view.

If you select a topic from the left hand side menu, the unrelated dots "fly" away. You can also select two different topics to see how the timelines match up e.g. riots and womens rights.

I like this because it is not only useful, but also interactive.

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3 vases made with mud collected from a toxic waste dump. Made with the amount of waste made when producing a cell phone, flat-screen PC, and an electric car.

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Hello everyone, I am enrolled in the Bachelor of Data Analytics as well as slowly finishing my Honours Degree in Art & Design. Last year COVID meant the ceramic and glass studios at UniSA were closed so I have put my last semester on hold until next year.  Fortunately, this means I can also learn more about data visualisation which I want to use in my thesis and final artwork for Honours.

I selected the vases made by ceramicist Kevin Callaghan in collaboration with Unknown Fields Division. They are one of my favourite examples of data physicalisation which adds the choice of material to the list of ways data can be represented. I think being able to touch (not in this case) or walk around a physical data visualisation allows people to understand and connect to the information it is based on. DataPhys.org has a gallery of examples of this emerging genre of art - Mount Fear by Abigail Reynolds for example shows the rate of violent crimes in East London; which can be compared to the map shown in lecture 1.3 - Visualisation Data Types (the geospatial example with the light blue spheres).

I am a fan of the Geological time scale chart that Lee posted - so much better than an old school timeline.

Welcome and good luck with the course everyone!!!

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Hi All, Like many others I am studying the Bachelor or Information Technology and Data Analytics at UniSa.

I selected this visualisation because
1) within a few moments of looking at it, we can understand what information is being conveyed,
2) global warming is something that impacts everyone and because
3) it conveys quite of lot of information in a simple design

I personally found it interesting that Australia's temperatures are not increasing at the same rate as other countries, yet Australia has had some devastating bush fires in the last few years.   If you believe what is written, the worsening fires are a result of impact of global warming.

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Hello everyone, I'm Julian and I am studying full-time to build on my knowledge of IT that I previously developed in TAFE. My favorite part of my previous course was SQL and the learning how to work and present data has been very enlightening in this degree so far.

I was drawn to this Walrus tool for visualization to graph links of data in a 3D manner. I also like how it has a simple but interesting interactive capability.

Good luck in the course everyone,
-Julian

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Hi, my name is Ryan and I am undertaking the Bachelor of IT & Data Analytics and will hopefully be graduating next year. I work for a government department currently focused on predictive and simulation modelling and visualisations are a vital part of our reporting.

The visualisation I have selected is a Citation Pattern visualisation using Bezier curves providing insight into journal citations and their relationships and importance of each journal. I thought this visualisation was able to convey a highly complex relationship in a simple and easy to understand format.

I really want to increase my understanding of visualisations so I can improve the story I can tell from my analysis.

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Hello all, I am completing the original degree of IT & Data Analytics, hopefully graduating next year. My favourite aspects of the degree so far have been programming and interrogating data, poking around and finding possible insights or errors.

Being that we are living through a pandemic, I found this graphic interesting. It was produced by Nicholas LePan and tells the story of all the known pandemics in the history of mankind, the disease, death toll and the approximate date the pandemic occurred. While not as visually appealing as some others I have seen, it clearly displays the data in a way that anyone can understand. With death tolls proportional to the size of the sphere and the time of the pandemic shown on the line with those more recent towards the front, older further back it is easily understood without reading any accompanying information. However, if the chart below is not considered which displays the death tolls, and only the above graphic is used, it is clear there is some bias introduced, with less importance placed on older diseases, despite their higher mortality.

Good luck to everyone this study period! Cheers, Rachel

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Hi all,

My name is Lauren, I am studying Data Analytics part time and work full time in the public service doing governance and management. My role involves a fair bit of upwards reporting and data visualisation is an important part of getting the narrative understood. It is not something I have ever been good at as I tend to "see the matrix" and go by the tabular data to form advice and reports, so I am hoping to gain some skills in selecting and creating the right visualisations to improve my reports.

I have chosen the Hierarchical Structure of the Internet visualisation for a few reasons, it is immensely eye catching - like a firework almost but it remains informative as you follow the paths back you can see the reliance we have on so few nodes compared to the big picture. It's a really clever way to depict something we use constantly but tend to have very little "real world" concept of.

Good luck everyone!

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The Internet mapped by Autonomous System Numbers

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Hi Everyone,

My name is Matt, I am a 20+ year veteran network engineer and am studying Data Analytics as part of a career 'pivot'.

The visualisation I have chosen is a map of the internet where each dot represents a separate autonomous system. It is currently centred on the Telstra AS of 1221 which is the core of the network originally commissioned in the earliest days of the internet in australia. I like this visualisation as it demonstrates both the scale and the intricacy of the internet today and I can easily see just how much this thing I started working on in the 90s has grown.

Best of luck to all.

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My name is Robbie and I'm finishing off my IT & Data Analytics degree. I'm currently working with a software company that makes great use of data visualizations. I am hoping to be able to take what I learn in the course back into the workplace.

I love simplicity and this map of undersea telecommunication cables really resonated with me!

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Hey everyone,

My name is Dani and I am studying IT and Data Analytics while working full time in the financial planning industry.

This visualisation plots the internet's leading names and domains using Tokyo's metro map. Some of the world's biggest companies (eg Google, Facebook) actually hang this visualisation in their headquarters.

I really like the visualisation because of the way that it has been carefully created - every domain is evaluated based on traffic, revenue, and character. It provides so much information in one attractive visualisation. I like it. I could hang one of these on my wall.

All the best to everyone.

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Good afternoon everyone,

My name is Jacq Horn. I hope to gain some strong skills in designing data visualisations, not only for use in my current role at work but to make me a more desirable job candidate when applying for data analyst positions.

I chose the Narratives 2.0 visualisation of Beethoven's Symphony No. 5. I have always loved music and this a stunning visualisation of an iconic composition.

Good luck with the course everyone, look forward to seeing you in the forums and on discord.

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Hi, name is Ben, this is a chart that lives in my brain, rent free. If I could transcend displaying data into something like this one day, I will know I have succeeded in life. I am doing this unit as its mandatory, however I feel like I was getting a real flow with ggplot2 in MATH2032. Being able to more fluidly create visualisations on dry or bland numerics is interesting - because we make it interesting. Most of the charts displayed by others make me think they are career defining highlights (and far from normal). Something we can aspire towards but not realistically need to create in our careers (like the lamborghini posters on bedroom walls when younger).

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Evening All,

I am looking forward to this course as Data Viz was one of the aspects that drew me into Analytics to begin with as well as this being my final term so a nice interesting subject to finish on.

For my visualisation I chose 'Out of Sight, Out of Mind' linked above due to the story it is able to tell and impact it leaves whilst being a very clean and minimal implementation. I think its impressive how such efforts look so simple but are able to portray so much and imagine it would be incredibly difficult to achieve.

I hope dust off my basic R skills and use some new tools but mainly am looking forward to considering the overall theory and design principles that lay the foundation for a great story/ visualisation/ communication output.

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The primary data used in this visualization comes from a dataset maintained by the Bureau of Investigative Journalism (BIJ) . The BIJ is a not-for-profit organization with the aim of educating the public and the media on both the realities of today's world and the value of honest reporting. While there were other data sources that had listings of drone strikes, the BIJ seemed to have the most unbiased collection of information.
Because the US Government does not disclose strike information, the data must be manually collected on the ground by reporters. The challenge is that stories and estimates vary between sources. In cases where there are inconsistencies, a minimum and a maximum number of possible fatalities are recorded. We take the average whole number between these estimates for each attack. In a few instances there were fatalities confirmed, but the estimated number of fatalities was not obtainable. In these cases, we simply omitted the fatalities. The list of high-profile targets (the white squares) comes from the New America Foundation.

The visualization is created in HTML5 and JavaScript. We recommend Chrome for the best viewing experience.

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The primary data used in this visualization comes from a dataset maintained by the Bureau of Investigative Journalism (BIJ) . The BIJ is a not-for-profit organization with the aim of educating the public and the media on both the realities of today's world and the value of honest reporting.

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Hi everyone,

Matt Malone here - studying Data Analytics at UniSA.

Before studying DA, I ran my own retail business. Like many people, I would quite often as the question "What does the data tell us?" but no one in my organisation knew how to ask the complex questions or interpret the results outside of standard business KPI's. So I decided to figure it out for myself.

If I were to show an incredibly powerful visualisation that has stuck with me for YEARS it HAS to be the ABC's Digital Team's work on Mortgage Stress in Australia.

https://www.abc.net.au/news/2017-08-21/how-interest-rate-rises-could-affect-home-loan-stress/8798274?nw=0&r=HtmlFragment

(Do yourself a favour and look through some of their other visualisations and stories - like this roadmap of COVID in Australia - https://www.abc.net.au/news/2021-01-25/covid-19-spread-through-australia-over-year/13078574)

The interactivity, the insight provided while remaining simple, clean, innovative in it's journalism, informative and makes use of current tech just blew my mind. I didn't know that such visualisations existed!

It really is one of the major reasons why I want to pursue and excel in Data Visualisation - those stories really blew my mind and have stayed with me for over four years.

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Updated August 23, 2017 12:09:49

Australia's housing market has reached a unique point in its history: household debt at a record high, interest rates at an all-time low.

Sorry, this video has expired

It's a "perfect storm" that means mortgage stress will spread swiftly, even with small increases in interest rates, according to mortgage industry expert Martin North.

Already, one in four mortgaged households are in stress - meaning they do not have enough income to cover mortgage repayments and other living expenses.

North's modelling shows how this figure would rise - and which neighbourhoods would be hit hardest - if interest rates were raised. It is based on research by his highly-respected consultancy, Digital Finance Analytics, which has surveyed the finances of 52,000 households a year for more than 10 years.

How much can interest rates rise?

The current interest rate, also known as the official cash rate, is at a record low 1.5 per cent. (The rate charged on home loans is generally 3-4 percentage points higher.)

Most experts agree that, sooner or later, interest rates will have to rise, although it is not clear by how much or how quickly.

The Reserve Bank has signalled that a "neutral nominal cash rate" is 3.5 per cent, implying that there could be a 2 percentage point increase in the cash rate to balance inflation and economic growth.

Small changes, potentially big effects

At current interest rates, more than 820,000 households are in mortgage stress, with those in regional and remote areas more likely to affected.

This chart, based on Digital Finance Analytics' modelling, shows how mortgage stress would spread if interest rates were increased by up to 5 percentage points. While an interest rate rise above 2 percentage points is widely seen as unlikely, the official cash rate topped 17 per cent in 1990 and most recently reached 7 per cent in 2008.

The line climbs steeply at the beginning, showing how quickly stress spreads, even with small rate increases. This is North's "perfect storm": the combination of flat incomes, soaring house prices, high household debt and low interest rates.

"You only need a small consequential change ... to actually really create that pain point," North said.

"We've got households in some degree of difficulty already now, so it doesn't take much to see the tipping point. Then we get this downward spiral and, if it goes, it could be as bad as Ireland or the US. It's a house of cards, I think."

The potential economic ripple effects could go beyond homeowners and investors as millions of households cut back their spending and load up on debt, dragging down the wider economy, North said. Some will scramble to refinance or sell. Others may lose their homes.

Which suburbs would be hit hardest?

If interest rates rise by just half a percentage point, mortgage stress would jump from an average of one in four mortgaged households to one in three. That's more than one million households.

If interest rates rose by one percentage point, mortgage stress would be as common in cities as it in the country, according to Digital Finance Analytics' modelling.

Across the country, nearly 40 per cent of mortgaged households would be in financial stress, while in some postcodes, the figure would climb past 80 per cent. These include:

2105 (Church Point) in Sydney

3008 (Docklands) and 3036 (Keilor) in Melbourne

4102 (Buranda) and 4153 (Burbank) in Brisbane

6017 (Osborne Park) in Perth

A rise of two percentage points would push half of all mortgaged households - or 1.6 million households - into financial stress.

Mortgage stress would become almost as widespread in wealthier neighbourhoods as in mainstream suburbia or the low-income urban fringes.

In more than a dozen capital city postcodes, 90 per cent of households or higher would be in stress. These include:

2150 (Parramatta), 2197 (Bass Hill), 2141 (Lidcombe) and 2128 (Silverwater) in Sydney

3060 (Fawkner) in Melbourne

4103 (Annerley) in Brisbane

6148 (Riverton) in Perth

In Prime Minister Malcolm Turnbull's postcode, 2027 (Point Piper, Darling Point), 11 per cent of households would be in mortgage stress.
To see how your neighbourhood would cope with interest rate rises please view this story in your mobile browser, as the following interactive story will not display properly in the ABC app.
These 1,955 circles represent Australia's mortgaged homes.

1 circle = 1 postcode

Bigger circle = More mortgaged households

Mortgage stress is defined as when a household's income doesn't cover its outgoings, including mortgage repayments.

This is a higher threshold than in most analyses.

At current interest rates, more than 820,000 households are in mortgage stress. That's an average of one in four.

But averages hide a lot.

At one extreme are postcodes where less than 10% of mortgaged households are in stress.

At the other, are those where at least 90% are in stress.

Most of those postcodes are in regional and remote Australia. Mortgage stress is worse here than in major capital cities.

Let's see what happens if interest rates rise by 0.5%. (They were last at this level in May 2015.)

Mortgage stress jumps from one in four mortgaged households to one in three.

The combination of flat incomes, rising costs and large mortgages means stress spreads quickly, even with small rate changes.

More than 170 grey postcodes slide further into stress, taking 330,000 mortgaged households with them.

Nearly half are in cities.

This is what a 1% rise on current rates looks like. (Interest rates were last at this level in August 2013.)

The number of metropolitan postcodes with more than 40% of mortgaged households in stress nearly doubles.

In some, at least 80% of mortgaged households are in stress.

A 2% increase from current rates throws half of all mortgaged households into stress. (Interest rates were last at this level in June 2012.)

Both rich and poor are now under pressure.

The burden shifts away from regional Australia. In the country, stressed households are more likely to be in the minority in their postcode.

The opposite is true for cities.

In Melbourne, Fawkner becomes the largest postcode to hit 100% mortgage stress. It is home to nearly 1,400 mortgaged households.

In Sydney, Silverwater and Kurnell also hit 100%. In these areas, virtually every mortgaged household is in stress.

Let's see what happens if interest rates rise by 3%.

Most analysts think rises above 2 percentage points are unlikely. They were last at this level in November 2011.

These metropolitan postcodes represent 65,000 mortgaged households. At least 90% are in stress.

These represent 5,000 mortgaged households. Only 10% or less are in stress.

A 4% increase above current rates would bring interest rates roughly in line with the average over the past two decades.

(They were last above this level in October 2008.)

More than two million households are in stress.

Mooloolaba becomes Queensland's first metropolitan postcode to hit 100% mortgage stress, while Buranda and Northgate are close behind.

In many of the nation's largest postcodes, more than 80% of mortgaged households are in stress.

In some of the worst-affected areas, there are more than 10,000 mortgaged households.

This is what mortgage stress looks like at 5% above current rates.

The last time interest rates were close to this level was March 2008.

Prime Minister Malcolm Turnbull's postcode, 2027, is among 20 metropolitan postcodes with less than 20% of mortgaged households in stress.

Meanwhile, across the nation, more than 170 metropolitan postcodes have at least 90% of mortgaged households in stress.

How will your neighbourhood cope if interest rates rise?

First posted August 21, 2017 21:15:26

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Suburbs near you that will be hit hardest by interest rate rises

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Updated August 23, 2017 12:09:49 Australia's housing market has reached a unique point in its history: household debt at a record high, interest rates at an all-time low. Sorry, this video has expired It's a "perfect storm" that means mortgage stress will spread swiftly, even with small increases in interest rates, according to mortgage industry expert Martin North.

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Hi all... good to see a lot of familiar names here... we all studying Bachelor I.T. & Data Analytics... glad some of you are completing your degree after this study period, as for me, I will be completing mid next year.

I live in Perth, I turn 40 in December and I am a store manager for Supercheap Auto. I am looking to change careers after this degree, or stay with the company in a different role, will see what doors open for me.

I chose the below graphic because I am a crypto currency enthusiast, and I love the Bitcoin story.
What appeals to me about this is that it is made to look like a rollercoaster ride (with the vertical lines below the line graph) and the bitcoin symbol with commentary, coupled with the historic events throughout the bitcoin history.
This stands out to me because it is not the traditional candle stick chart we often see with currency.
I found this image from Google search.

Best of luck everyone!
Cheers

Wayne

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Good Afternoon All

Like many of you I am studying IT and Data Analytics at UNISA while working full time.  I am pretty time poor these days so you probably won't see to much from me, haha.  Luckily this is my last study period and I will be graduating this year.

As I work as a engineer in the field of gold minerals processing equipment, I am very interested in the location of gold minerals deposits around Australia.  There are a lot of visualizations around showing the locations of gold deposits on a map against some other dataset.  The below is from Geoscience Australia and while factual, could be prettier!

Cheers

Matt

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Hi Everyone,

Like most people here I'm studying IT and Data Analytics, and looking forward to this course.

Love seeing all the cool visualisations, there is so much great stuff out there! Enough people have mentioned DataIsBeautiful on reddit so I'll make another recommendation and that is the book storytelling with data (http://www.storytellingwithdata.com/books). It's been floating around my work office at the moment and has some practical examples of have really clean visuals.

My chosen data visualisation is this one on shot locations in the NBA. The reason why I love this is because I enjoy sports analytics but also the difference you see is actually all down to data analytics! The General Manager of the Houston Rockets (Daryl Morey) is massively into analytics and discovered that 3 point shots (outside the semi-circle) gave the best return on investment. Years later now everyone is doing it and it's changed the game. It's also just a very clean and easy to read visual.

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Hi, I'm studying Information Technology and Data Analytics.

I've always wanted to know how people make really slick visualisations you see scattered around the internet, and TV/print for that matter, so I'm looking forward to this subject.

I got a visualization from r/DataIsBeautiful since that is were I often see work I'm impressed with. This one has no special meaning for me, I just think it's visually appealing and has a lot of information packed into it - which is something that is quite difficult to do without it looking too busy. It's just shows how Leonardo DiCaprio only dates young women. I think it's a good effort.

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Hey Guys,
I am also currently studying the Bachelor of Information Technology and Data Analytics at UniSA online. Hoping to finish at the end of this year.

I'm hoping to develop my creative side and develop some more interesting visualizations rather than the normal bar and scatter plots.

I found this visualization. Not the most exciting graphic. but powerful.
I'd like to point out that I am in the 5% category. :)

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Hello, I am currently studying the Bachelor of Information Technology and Data Analytics at UniSA online. This is my second year and I am really looking forward to it so far!

I am a fan of Formula 1 and the amount of data that is involved is a big reason why it appeals to me. I have chosen a data visualisation that I came across on the formula 1 subreddit (r/formula1). It also appeared on r/DataIsBeautiful as well.

The data visualisation shows Lewis Hamilton's driving career and gives a rundown of where he qualifies and where he finishes the race. I really like this visualisation because it gives a clear indication of how good a driver he is. His wins are what your eye is drawn to, but a lot of information can also be found be looking at all the other positions. I have spent a lot of time analysing this visualisation to discover a lot of interesting statistics.

I am very much looking forward to the course.

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Hey, I am studying the Bachelor of Information Technology and Data Analytics at UniSA.

After reading Mark's post I went and checked out the subreddits on reddit.com (r/DataIsBeautiful).

Some pretty incredible stuff on there, if you get a chance jump on and have a look.

The data visualisation that I have chosen compares the fires caused by lightning against the fires caused by humans.
Obviously, this is in 2019. It would be interesting to see the stats after the California and Oregon fires are extinguished.

All the best to everyone.

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Hi All, I am excited to get my hands dirty with Data Visualisation as it is one of the core skills I had wished to develop coming into the IT & Data degree.

Looking through the content, I can already see it is exactly the information I am excited to learn about -- the why and concepts of good data visualisations, rather than just how to create pretty graphs. I am also eager to work further with R.

The visualisation I have chosen comes from one of my favourite subreddits on reddit.com (r/DataIsBeautiful). I chose this one as it links directly with some of the concepts learnt in Week 1. Its aim is to compare the GDP of states to California's. By grouping US states together with the same colour it is easy to contrast and compare them -- the ultimate goal of the graph. Visually, you observe a large swath of green states, but realise that a larger size is proving the point of the graph, the larger the group is compared to California, the greater the contrast is.
(Source: https://www.reddit.com/r/dataisbeautiful/comments/ha20rx/oc_these_6_areas_in_the_us_have_roughly_the_same/)

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Geologic time scale
Hi everyone,
I'm also posting a little early as I'm in the same boat as Paul.  Also studying Bachelor of IT at RMIT and have elected to do 4 data analytics units through Uni SA as analytics is a strong interest of mine.  So far I have really enjoyed the experience.

I've shared the geological 'clock' from the geologica time scale page of wikipedia, depicting a projection of earths history.  I find it really helps to understand the difference in time between the different eons of earths history, as these sorts of scales can be hard to really grasp without something that allows easy visual comparison.  I think it's simple enough to be easily understood, but has lots of details as well.   (https://en.wikipedia.org/wiki/Geologic_time_scale)

In terms of my own goals for the course, I've done very basic data representations for employers before but I'm hoping to upgrade my skills in areas to be much more sophisticated.  I've also been a long time fan of the 'data cake,' (http://markjohnstone.co/data-cake/) which I think sums up the point of data vis nicely, while not being an actual data visualisation itself.  :)

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Paul McKercher                    Ratio of S&P500 to US Wages (source Alan Kohler via @NGruen1)

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Paul McKercher                    Ratio of S&P500 to US Wages (source Alan Kohler via @NGruen1)

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Hi all, I am a little ahead, due to the need to juggle this course and a Further Programming course. Assignment due dates are already scribbled into my calendar!

I am a student from RMIT doing a Bachelor of IT. I have just come from the UniSA Statistics using R course.

I hope to acheive more skills representing and understanding data visually.

Alan Kohler shares many graphs on Twitter and this one shows the Ratio of the S&P500 to US wages. What I think I am seeing here is a very inflated market compared to wages.