- Continuous: Continuous data means it can have any value between two points. For example a person’s height can be any value between 165cm and 166cm.
- Data: facts and statistics collected together for reference or analysis
- Data science: Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information. The goal of data science is to gain insights and knowledge from any type of data
- Discrete: Discrete data has no value between each data point. For example a t-shirt can be blue, green, red but nothing in between.
- Infographic: a visual representation of information or data, e.g. as a chart or diagram.
- Primary data
- Qualitative Data: This kind of data is normally not numerical and is typically collected by interviewing people or observing them. An example of qualitative data might be feedback on a school assignment.
- Quantitative Data: This kind of data is data consisting of numbers and it is normally collected through surveys. For example data on the number of children in each class or the exam results for all 16 year olds in a school.
- Statistics: a branch of mathematics dealing with the collection, analysis, interpretation, and presentation or large amounts of numerical data
- Secondary data: Secondary data is data collected by someone else but made available for different people to use and analyse. For example Spotify and Apple music collect data on the most popular songs but anyone can download it and use the data.
- Variable:
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