BW #120: Pennies (solution)
Get better at: API usage, JSON manipulation, strings, regular expressions, and grouping
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
Get better at: API usage, JSON manipulation, strings, regular expressions, and grouping
Get better at: API usage, JSON manipulation, strings, regular expressions, and grouping
Get better at: CSV files, working with dates and times, grouping, plotting, and handling multiple files.
Get better at: CSV files, working with dates and times, grouping, plotting, and handling multiple files.
Get better at: CSV files, working with dates and times, pivot tables, and plotting
Get better at: CSV files, working with dates and times, pivot tables, and plotting
Get better at: CSV files, working with dates and times, pivot tables, grouping, and plotting
Get better at: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, multiple files, pivot tables, grouping, dates and times, and plotting
Get better at: Excel files, regular expressions, optimizing speed, PyArrow, grouping, joining, and plotting.
Get better at: Excel files, regular expressions, optimizing speed, PyArrow, grouping, joining, and plotting.
Get better at: String manipulation, working with dates, plotting, grouping, and pivot tables