Data Analysis Report Generator

• Load and inspect CSV files
• Show column types and null counts
• Calculate mean, median, and mode per column
• Generate bar charts for categorical data

Follow these steps in order. Each one builds on the previous.

1. Step 1

   Install pandas and matplotlib via pip

2. Step 2

   Write a CSV loader that validates the file path

3. Step 3

   Generate a summary table of column info

4. Step 4

   Compute descriptive statistics for numeric columns

5. Step 5

   Count and display missing values per column

6. Step 6

   Build chart generation functions using matplotlib

7. Step 7

   Export the full report to a text or HTML file

• pandas docs
• matplotlib tutorials
• Real Python data analysis