Pandas allows us to create a number of different plot types, using an API that wraps around Matplotlib. We can create line, bar, pie, scatter, and box plots, among others.
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: ECSV 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: ECSV 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: Excel files, dates and times, regular expressions, filtering, joins, grouping, plotting with Plotly, and correlations.
Get better at: Excel files, dates and times, regular expressions, filtering, joins, grouping, plotting with Plotly, and correlations.
Get better at: AI queries, working with Excel files, grouping, pivot tables, and plotting.
Get better at: AI queries, working with Excel files, grouping, pivot tables, and plotting.
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, window functions, joins, and date/time data.
