How does it organize data?
Some of the key steps for the organizing process are listed below.
- At first, we need to load the dataset in which we are going to perform the Cross-Tabulation. This process could be easily done by Pandas module of Python.
- Now we will choose two or more categorical variables to analyze the table. These variables will be used to define the rows and columns of the cross-tabulation table.
- Now we call the ‘pd.crosstab()’ function to organize the table as per our pre-defined categorial variables.
- Finally, we will display the resulting cross-tabulation table and explore the relationships between the categories.
What is Cross-Tabulation and how does it organize data in a table?
Cross-tabulation is also referred as crosstab. It is a statistical technique used to organize and analyze the relationship between two or more categorical variables. The article explores the Cross-tabulation technique and demonstrates the implementation technique to organize data in a table.