Data Wrangling Techniques in Julia - Part 2 - Tom Kwong

Explore advanced data wrangling techniques in Julia in this 48-minute video tutorial, the second part of a series. Learn to handle two-sample data sets, covering essential skills such as reading compressed CSV files, specifying missing strings, cleaning data by removing non-useful columns and rows with missing data, tidying data frames through stacking and unstacking, analyzing through grouping and aggregation, and visualizing results with various chart types. Focus on practical examples using Washington state youth suicide data and TIPS yield curve and inflation compensation data. Enhance your data science toolkit and discover how to effectively leverage Julia for complex data manipulation tasks.