Techniques for cleaning messy data in Pandas, including handling duplicates, fixing data types, correcting errors, and standardizing values.
Get better at: Working with CSV files, plotting with Plotly, cleaning data, window functions, joins, and date/time data.
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 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 Excel files, regular expressions, cleaning data, window functions, and plotting.
Get better at: Working with Excel files, regular expressions, cleaning data, window functions, and plotting.
Get better at: Web scraping, pivot tables, grouping, cleaning data, and using regular expressions
Get better at: Web scraping, pivot tables, grouping, cleaning data, and using regular expressions
Get better at: Excel files, cleaning data, working with multi-indexes, window functions, and plotting
Get better at: Excel files, cleaning data, working with multi-indexes, window functions, and plotting
Get better at: Excel files, cleaning data, regular expressions, multi-indexes, and plotting
