Bamboo Weekly #152: Congestion pricing (solution)
Get better at: Working with CSV files, plotting with Plotly, cleaning data, grouping, pivot tables, window functions, and datetime values.
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
Get better at: Working with CSV files, plotting with Plotly, cleaning data, grouping, pivot tables, window functions, and datetime values.
Get better at: Working with CSV files, plotting with Plotly, cleaning data, grouping, pivot tables, window functions, and datetime values.
Get better at: Working with APIs, grouping, dates and times, and plotting with Plotly.
Get better at: Working with APIs, grouping, dates and times, and plotting with Plotly.
Get better at: Working with CSV files, date parsing, working with dates and times, joins, grouping, pivot tables, window functions, and plotting.
Get better at: Working with CSV files, date parsing, working with dates and times, joins, grouping, pivot tables, window functions, and plotting.
Get better at: Working with multiple files, scraping, multi-indexes, grouping, and plotting.
Get better at: Working with multiple files, scraping, multi-indexes, grouping, and plotting.
Get better at: Working with multiple files, scraping, dates and times, grouping, and plotting.
Get better at: Working with multiple files, scraping, dates and times, grouping, and plotting.
Get better at: Working with Excel, grouping, cleaning, regular expressions, and multi-indexes.
Get better at: Working with Excel, grouping, cleaning, regular expressions, and multi-indexes.