Categorical data is a type of data that can be divided or classified into groups. Understand the definition and examples of categorical data, learn to distinguish categorical data from quantitative data, and explore the uses of categorical data. ...
Bar charts are often used as a graphical method of analyzing categorical variable data. The data that is observed can be entered as raw numbers or as percentages, which are preferred. With a bar chart, the total for each group is shown. ...
In this blog, Learn what is data, different types of data, how to store and analyse data and more which will help you understand the meaning and significance of data.
The data set also includes rows for each air quality measurement, specific to a place and time. That is, each row is a record of a specific air quality measurement. The record is made up of a set of related values, with each value corresponding to a column, i.e., variable. For exa...
What is a statistic used for? Statistics helps us to understand the data that is collected about us and the world. For example, the UPS database is 17 terabytes — about as large as a database containing every book in the Library of Congress [1]. All of that data is meaningless withou...
Surveys are a valuable way to get feedback from customers, employees or research respondents. Learn more about surveys and use our FREE tool here.
Qualitative research is the descriptive and subjective research that helps bring context to quantitative data. It’s flexible and iterative. For example: The music had a light tone that filled the kitchen. Every blue button had white lettering, while the red buttons had yellow. The little ...
Cluster analysis can be a powerful data-mining tool to identify discrete groups of customers, sales transactions, or types of behaviours.
As logistic regression gives us these probabilities, rather than simple true/false values, we need to take extra steps to convert the result to a category. The simplest way to do this conversion is to apply a threshold. For example, in the following graph, our threshold is set to ...
One way to adjust a mean is to add categorical variables that separate the data more finely. For example, imagine a study looking at alcohol consumption in the accounting profession that finds that accountants today drink half as much as accountants did 50 years ago. While this may appear to...