BW #121: Research funding (solution)
Get better at: CSV files, grouping, strings, formatting, dates and times, and plotting
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
Get better at: CSV files, grouping, strings, formatting, dates and times, and plotting
Get better at: CSV files, grouping, strings, formatting, dates and times, and plotting
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.