2. Descriptive statistics [50%] 2.1. Categorical variables [20%] 2.1.1. Consider one categorical variable and create a frequency table including frequency, relative frequency, cumulative frequency and relative cumulative frequency. 0 Provide a summative interpretation of the values in the frequency table. What is the most frequent category and the least frequent ones with their percentages? 0 Report any invalid values or errors in the data and explain how to correct them. 0 Correct the errors in the data and show the frequency table for each categorical variable after the corrections. 2.1.2. Create a pivot table with one categorical variable selected in the ROWE, one numerical variable in the CULUMNS [apply grouping}, and the average of the target variable in the VALUES. When a column contains a missing value, it is represented with "E\