Bamboo Weekly #142: Hurricanes (solution)
Get better at: Working with CSV, working with dates and times, cleaning, grouping, and plotting.
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
Get better at: Working with CSV, working with dates and times, cleaning, grouping, and plotting.
Get better at: Working with CSV, working with dates and times, cleaning, grouping, and plotting.
Get better at: Working with CSV, working with Excel, grouping, joining, dates and times, and plotting.
Get better at: Working with CSV, working with Excel, grouping, joining, dates and times, and plotting.
Get better at: Working with CSV, grouping, regular expressions, and filtering.
Get better at: Working with CSV, grouping, regular expressions, and filtering.
Get better at: Working with multiple CSV files, grouping, pivot tables, dates and times, speed optimization, and memory optimization.
Get better at: Working with multiple CSV files, grouping, pivot tables, dates and times, speed optimization, and memory optimization.
Get better at: Working with CSV files, textual data, dates and times, grouping, pivot tables, and plotting with Plotly.
Get better at: Working with CSV files, textual data, dates and times, grouping, pivot tables, and plotting with Plotly.
Get better at: Working with CSV files, grouping, window functions, pivot tables, and plotting with Plotly