In the world of data analysis and statistics, continuous and discrete data play fundamental roles. These two types of quantitative data serve different purposes as people use them to draw valuable ...

Distinguishing between discrete vs. continuous data and situations that call for each data type is important in ensuring you get your desired results.

Types of data include continuous, discrete and categoric. Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a ...

Different types of graphs and charts are needed to present results from experiments. Graphs and charts need to be drawn and labelled correctly. Use patterns in the data to reach a conclusion in an ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and continuous data seeming almost opposed at first glance. That said ...