Creating statistical visualizations from Pandas data using Seaborn, a high-level plotting library built on Matplotlib.
Get better at: Working with Excel files, plotting with Seaborn, mult-indexes, and window functions
Get better at: Working with Excel files, plotting with Seaborn, mult-indexes, and window functions
Get better at: Excel files, dates and times, correlations, plotting with Seaborn, and window functions
Get better at: Excel files, dates and times, correlations, plotting with Seaborn, and window functions
Get better at: CSV, multiple files, plotting with Seaborn, string operations, pivot tables, window functions, and joins.
Get practice working with CSV files, plotting with Seaborn, sorting, multi-indexes, and pivot tables.
Get practice working with CSV files, plotting with Seaborn, sorting, multi-indexes, and pivot tables.
Get better at: Using chatbots, cleaning data, and plotting with Seaborn.
Get better at: Using chatbots, cleaning data, and plotting with Seaborn.
Get better at: CSV files, plotting with Seaborn, using PyArrow, grouping, and sorting.
Get better at: CSV files, plotting with Seaborn, using PyArrow, grouping, and sorting.
