My goal was to build multiple types of visualizations to analyze data distributions, comparisons, and relationships across different scenarios (e.g., housing prices, market share, demographics).

Learned to use pd.read_csv() to load data from a CSV file into a Pandas DataFrame and view its first few rows using .head(). How to group and summarize data Understood how groupby() and sum() can be ...

The emergence of Cursor is like a key that opens the door to a new world; it is not just a code editor, but also an ...