A pivot table redisplays information from a data frame in a new way: It uses the unique values from one column as its index, the unique values from a second column for its columns, and then applies an aggregation function to all of the values in each row-column intersection.
Get better at: Working with CSV files, Pandas 3, joins, pivot tables, memory optimization, speed optimization, window functions, and plotting.
Get better at: Working with CSV files, Pandas 3, joins, pivot tables, memory optimization, speed optimization, window functions, and plotting.
Get better at: Working with CSV files, date parsing, working with dates and times, joins, grouping, pivot tables, window functions, and plotting.
Get better at: Working with CSV files, date parsing, working with dates and times, joins, grouping, pivot tables, window functions, and plotting.
Get better at: Working with multiple CSV files, grouping, pivot tables, dates and times, speed optimization, and memory optimization.
Get better at: Working with multiple CSV files, grouping, pivot tables, dates and times, speed optimization, and memory optimization.
Get better at: CSV files, pivot tables, dates and times, styling, strings, and plotting
Get better at: CSV files, pivot tables, dates and times, styling, strings, and plotting
Get better at: CSV files, pivot tables, multi-indexes, Plotly, correlations, and window functions.
Get better at: CSV files, pivot tables, multi-indexes, Plotly, correlations, and window functions.
Get better at: CSV files, PyArrow, reducing memory usage, working with dates and times, pivot tables, and plotting.
Get better at: CSV files, PyArrow, reducing memory usage, working with dates and times, pivot tables, and plotting.
