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 Excel files, cleaning data, correlations, and plotting with Plotly.
Get better at: Working with Excel files, cleaning data, correlations, and plotting with Plotly.
Get better at: Working with multiple CSV files, dates and times, joins, grouping, and plotting.
Get better at: Working with multiple CSV files, dates and times, joins, grouping, and plotting.
Get better at: Working with multiple CSV files, joins, and plotting with Plotly.
Get better at: Working with multiple CSV files, and plotting with Plotly.
A reader's solution to BW 184 using Polars.
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.
