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, dates and times, grouping, pivot tables, and cleaning.
Get better at: Working with CSV files, dates and times, grouping, pivot tables, cleaning, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, cleaning, and regular expressions
Get better at: web scraping, handling multiple files, multi-indexes, cleaning data, pivot tables, and plotting with Plotly.
Get better at: web scraping, handling multiple files, multi-indexes, cleaning data, grouping, and plotting with Plotly.
Get better at: JSON files, cleaning data, multi-indexes, plotting with Plotly, and pivot tables
Get better at: JSON files, cleaning data, multi-indexes, plotting with Plotly, and pivot tables
Get better at: Excel files, CSV files, Plotting with Plotly, grouping, maps, regular expressions, and joins.
Get better at: Excel files, CSV files, Plotting with Plotly, grouping, maps, regular expressions, and joins.
Get better at: CSV files, cleaning data, joins, pivot tables, and using Polars.
Get better at: ECSV files, cleaning data, joins, pivot tables, and using Polars.
Get better at: Working with CSV files, plotting with Plotly, cleaning data, window functions, joins, and date/time data.
