Data Analytics Week 2 by Aimee Whittaker

2025-02-04 09:17:15 UTC

A population is a fundamental aspect of our existence. Population data is defined as a set of individuals who share a characteristic or set of these. A population is mainly determined by geographies, such as all people in California, or all people in the United States. Demographers (people who study human populations) categorize this as the natural population. A collection of any living beings is considered a population, but we will focus only on human populations in this blog.

dc00572792 — 2025-02-04 09:17:19 UTC

A description of the empirical data used and the methods applied in revising past estimates of population and components of demographic change (fertility, child, adult and overall mortality, international migration) is available here for each country or area for the period 1950 to 2023. For the countries with less than 1,000 inhabitants in 2023, only the data sources for total population are made available.

dc40073700 — 2025-02-04 09:17:24 UTC

Population data means information about how many people live in a place in their characteristics

https://www.questionpro.com/blog/population-data/#:~:text=Population%20data%20is%20defined%20as,this%20as%20the%20natural%20population.

2025-02-04 09:17:49 UTC

A group of entities

2025-02-04 09:18:19 UTC

Sample data refers to a subset of individuals or observations selected from a larger population, which is used to make inferences or draw conclusions about that population. This data is crucial for statistical analysis as it allows researchers to estimate population parameters, like proportions or means, without having to survey every individual in the population. Properly collected and analyzed sample data can support claims about the larger group, including insights into relationships between variables.

2025-02-04 09:19:36 UTC

Categorical data classifies information into distinct groups or categories, lacking a specific numerical value. It refers to a form of information that can be stored and identified based on their names or labels. Categorical Data is a type of qualitative data that is easily measured numerically.

dc40073700 — 2025-02-04 09:19:49 UTC

Sample data is analytic subset of a larger population, often used in statistics and research

https://www.investopedia.com/terms/s/sample.asp#:~:text=A%20sample%20is%20used%20in,be%20expensive%20and%20time%2Dconsuming.

2025-02-04 09:19:55 UTC

dc00572792 — 2025-02-04 09:20:16 UTC

Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined.

2025-02-04 09:20:16 UTC

A smaller set of a larger population.

2025-02-04 09:20:27 UTC

Nominal data is labelled into mutually exclusive categories within a variable. These categories cannot be ordered in a meaningful way.

For example, preferred mode of transportation is a nominal variable, because the data is sorted into categories: car, bus, train, tram, bicycle, etc.

2025-02-04 09:21:43 UTC

Categorical data refers to a type of information that can be stored and identified based on their names or labels. It is a form of qualitative data that can be grouped into categories rather than being measured numerically. This data type consists of categorical variables that indicate things like a person’s gender, hometown, and so on. Categorical measurements are not provided as numbers but rather as natural language descriptions.

https://www.questionpro.com/blog/categorical-data/

dc40073700 — 2025-02-04 09:22:34 UTC

Categorical data means data that can be stored into a groups or categories. Examples of categorical variables are race, sex, age groups

https://www.fullstory.com/blog/categorical-vs-quantitative-data/#:~:text=Categorical%20data%20is%20a%20type,a%20method%20known%20as%20matching.

2025-02-04 09:22:51 UTC

In statistics, nominal data (also known as nominal scale) is a type of data that is used to label variables without providing any quantitative value. It is the simplest form of a scale of measure. Unlike ordinal data, nominal data cannot be ordered and cannot be measured.

https://corporatefinanceinstitute.com/resources/data-science/nominal-data/

dc00572792 — 2025-02-04 09:23:27 UTC

Categorical data classifies information into distinct groups or categories, lacking a specific numerical value. It is a type of qualitative data that can be stored and identified based on names or labels¹. Categorical data is mainly divided into two types: Nominal Data and Ordinal Data.

Types of Categorical Data

2025-02-04 09:24:04 UTC

data which 2 or more categories, with no intrinsic ordering.

2025-02-04 09:24:07 UTC

Ordinal data classifies data while introducing an order, or ranking. For instance, measuring economic status using the hierarchy: ‘wealthy’, ‘middle income’ or ‘poor.’ However, there is no clearly defined interval between these categories.

https://careerfoundry.com/en/blog/data-analytics/what-is-ordinal-data/

2025-02-04 09:24:38 UTC

Ordinal data is a type of categorical data that has a meaningful order among its categories but lacks numerical values or fixed intervals between them¹. This means that while the categories can be ranked or ordered, the precise difference between the ranks is not known. For example, in a customer satisfaction survey, respondents might rate their satisfaction on a scale from "Dissatisfied" to "Satisfied." Here, the order is apparent, but the exact variance between each category is not¹.

dc40073700 — 2025-02-04 09:24:46 UTC

Nominal data is a type of qualitative data that categorised variable into groups without providing numeric values

https://www.simplilearn.com/what-is-nominal-data-article

2025-02-04 09:25:31 UTC

Continuous data is data that has an infinite number of possible values. A good example of this is height. If you were recording everyone’s height in a classroom, you can round the height to the nearest centimetre. However, you could record the true value because it can be recorded to an infinite accuracy. You could record it to the nearest millimetre or maybe even micrometre… You could go on forever. Other examples of this are time or temperature.

https://www.twinkl.co.uk/parenting-wiki/continuous-data

dc00572792 — 2025-02-04 09:25:52 UTC

Nominal data is a type of qualitative data which groups variables into categories. You can think of these categories as nouns or labels; they are purely descriptive, they don’t have any quantitative or numeric value, and the various categories cannot be placed into any kind of meaningful order or hierarchy.

2025-02-04 09:25:55 UTC

Continuous data is information that could be meaningfully divided into finer levels. It can be measured on a scale or continuum and can have almost any numeric value. For example, you can measure your height at very precise scales — meters, centimeters, millimeters and etc.

2025-02-04 09:25:56 UTC

Data which has 2 or more categories, which has clear ordering of the categories.

dc40073700 — 2025-02-04 09:26:46 UTC

Ordinal data is data which is placed into some kind of order or scale.

2025-02-04 09:28:11 UTC

Discrete data is a type of quantitative data that includes nondivisible figures and statistics you can count. You typically write discrete data points as numbers that represent exact values. You can often describe discrete data by using the phrase "the number of," such as the number of customers in a store.Discrete data usually represents single events that have already occurred. When reviewing discrete data, you can analyze exact figures like units sold on a specific day or the hours an employee worked during a certain week.

dc00572792 — 2025-02-04 09:28:36 UTC

Continuous refers to a type of data that can take any value within a given range. In statistics and data analysis, continuous data is crucial for various applications, including statistical modeling, data visualization, and hypothesis testing.

dc40073700 — 2025-02-04 09:28:41 UTC

Continuous data is a type of numerical data that can take any value.

https://whatagraph.com/blog/articles/discrete-vs-continuous-data

2025-02-04 09:28:51 UTC

Discrete data refers to specific, distinct values or outcomes, often derived from countable items or events.

https://en.m.wikipedia.org/wiki/Continuous_or_discrete_variable

2025-02-04 09:29:42 UTC

Continuous data is data which can be data which can be divided into smaller parts, being able to be decimals or fractions.

dc40073700 — 2025-02-04 09:30:03 UTC

Discrete data is a count that involves integers only limited number of value is possible