Find patterns, trends and probabilities within raw data by creating a cross tab or contingency table, showing the relationship between two categorical variables.
Also known as contingency tables or crosstabs, cross tabulation groups variables to understand the correlation between different categorical variables. It also shows how correlations change from one variable grouping to another. It is usually used in statistical analysis to find patterns, trends, and probabilities within raw data.
The example below shows the cross tabulation of care setting by cancer type.
|Column Input. Text, Integer, Boolean, DateTime, Date
|The categories in this column will form the rows of the output cross tabulation.
|Column Input Text, Integer, Boolean, DateTime, Date
|The categories in this column will form the columns of the output cross tabulation.
|One of frequency, row_proportions, column_proportions
|The type of cross tabulation summary to produce.
|Integer > 0
|The number of decimal places to round the numbers in the cross tabulation to.