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: Working with multiple files, APIs, interpolation, plotting with Plotly, and Marimo notebooks
Get better at: Working with multiple files, APIs, interpolation, plotting with Plotly, and Marimo notebooks
Get better at: Working with Excel, grouping and pivot tables, plotting, and working with multi-indexes.
Get better at: Working with Excel, grouping and pivot tables, plotting, and working with multi-indexes.
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 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
