Cross-tabulation with crosstab() in Data Analysis Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is cross-tabulation in data analysis?

Cross-tabulation is a method to summarize the relationship between two or more categorical variables by showing their frequency distribution in a table format.

beginner

What does the pandas function crosstab() do?

crosstab() creates a cross-tabulation table that counts the frequency of combinations of values from two or more categorical variables.

beginner

How do you interpret the rows and columns in a crosstab table?

Rows represent categories of one variable, columns represent categories of another variable, and the cell values show how many times each combination occurs.

intermediate

What parameter in crosstab() allows you to add margins (totals)?

The parameter margins=True adds row and column totals to the crosstab table.

intermediate

How can you normalize a crosstab table to show proportions instead of counts?

Use the normalize parameter in crosstab(). For example, normalize='index' shows row-wise proportions.

What type of variables is crosstab() mainly used for?

A Text variables

B Continuous variables

C Categorical variables

D Datetime variables

crosstab() is designed to analyze categorical variables by counting combinations of their categories.

Which pandas function creates a frequency table for two categorical variables?

A crosstab()

B groupby()

C pivot_table()

D merge()

crosstab() is the function that creates cross-tabulation frequency tables.

What does setting margins=True do in crosstab()?

A Adds totals for rows and columns

B Removes missing values

C Sorts the table alphabetically

D Normalizes the data

It adds a row and column showing the total counts.

How can you get proportions instead of counts in a crosstab table?

A Set <code>normalize=True</code>

B Set <code>normalize='all'</code>

C Set <code>normalize=False</code>

D Set <code>normalize='index'</code> or <code>normalize='columns'</code>

Using normalize='index' or normalize='columns' shows proportions by row or column.

If you want to analyze the relationship between gender and purchase decision, which function is best?

A mean()

B crosstab()

C sum()

D describe()

crosstab() helps summarize how gender and purchase decision categories relate.

Explain what cross-tabulation is and how crosstab() helps in data analysis.

Think about how you compare two groups in a simple table.

Describe how to add totals and normalize data in a crosstab table using pandas.

Consider how to see overall counts and proportions.