BW #107: Consumer confidence (solution)
Get better at: CSV files, dates and times, filtering, regular expressions, correlations, and plotting
Calculating and interpreting correlations between columns in Pandas, using methods like Pearson, Spearman, and Kendall.
Get better at: CSV files, dates and times, filtering, regular expressions, correlations, and plotting
Get better at: CSV files, dates and times, filtering, regular expressions, correlations, and plotting
Get better at: CSV files, PyArrow, multi-indexes, index operations, plotting, grouping, sorting, correlations, and joins.
Get better at: CSV files, PyArrow, multi-indexes, index operations, plotting, grouping, sorting, correlations, and joins.
Get better with: Extracting from PDF files, multi-indexes, comprehensions, cleaning data, regular expressions, using "apply", plotting, and finding correlations.
Get better with: Extracting from PDF files, multi-indexes, comprehensions, cleaning data, regular expressions, using "apply", plotting, and finding correlations.
Get better at: CSV, filtering, window functions, plotting, web scraping, regular expressions, index operations, correlations, joins
Get better at: CSV, filtering, window functions, plotting, web scraping, regular expressions, index operations, correlations, joins
Get better at: Scraping, CSV, formatting, grouping, plotting, correlations
Get better at: Scraping, CSV, formatting, grouping, plotting, correlations
Get better at: CSV files, dates and times, joins, plotting, and correlations.
Get better at: CSV files, dates and times, joins, plotting, and correlations.