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 CSV and Excel, plotting with Plotly, cleaning, joining, and working with dates and times.
Get better at: Working with CSV and Excel, plotting with Plotly, cleaning, joining, and working with dates and times.
Get better at: Working with multiple CSV files, dates and times, pivot tables, cleaning, and plotting with Plotly.
Get better at: Working with multiple CSV files, dates and times, pivot tables, cleaning, and plotting with Plotly.
Get better at: Working with CSV files, dates and times, grouping, and cleaning.
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: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
Get better at: Working with CSV files, dates and times, grouping, pivot tables, and regular expressions
