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What are the two ways of representing categorical variable?
There are many ways in which we can represent data from two categorical variables. Some of these are more graphical, like side-by-side bar graphs, segmented bar graphs, and mosaic plots, while others are numerical, like two-way tables (also called contingency tables).
How do you display categorical variables?
Frequency tables, pie charts, and bar charts are the most appropriate graphical displays for categorical variables. Below are a frequency table, a pie chart, and a bar graph for data concerning Mental Health Admission numbers. A table containing the counts of how often each category occurs.
How are categorical variables and continuous variables aggregated?
Categorical variables have to be of type character or factor and continuous variables have to be of type integer or numeric. A vector containing ID”s. A data frame with the aforementioned variables aggregated by the given ID variables. Dirk Van den Poel, Michel Ballings, Andrey Volkov, Jeroen D”haen, Michiel Van Herwegen
How is aggregate function used in data frame?
The Aggregate function (not to be confounded with aggregate) prepares a data frame for merging by computing the sum, mean and variance of all continuous (integer and numeric) variables by a given ID variable. It also creates dummies for all categorical variables (character and factor) and subsequently computes the sum by a given ID variable.
How is the aggregate function used in R?
View source: R/Aggregate.R The Aggregate function (not to be confounded with aggregate) prepares a data frame for merging by computing the sum, mean and variance of all continuous (integer and numeric) variables by a given ID variable.
How to calculate sum by a categorical variable?
It also creates dummies for all categorical variables (character and factor) and subsequently computes the sum by a given ID variable. This functions aims at maximal information extraction with a minimal amount of code.
https://www.youtube.com/watch?v=vrWYw8d2830