Data Wrangling Techniques in Julia - Part 2 | Tom Kwong

As a data scientist, it is super important to sharpen your skills and learn to use the tools effectively. This is the second part of the series. Part 1 can be found at    • Data Wrangling Techniques in Julia - ...  

This video demonstrates how to perform data wrangling tasks using two-sample data sets. It demonstrates various data wrangling techniques including:
Read: skipping lines, reading compressed CSV files, specifying a missing string
Clean: removing non-useful columns, removing rows with missing data
Tidy: stacking and unstacking data frames
Analyze: grouping and aggregating data
Visualize: plotting line chart, bar chart, histogram, heatmap, etc.

Quick links
01:12 GitHub repo for this video
02:07 Washington state youth suicide data set
29:10 TIPS yield curve and inflation compensation data set

Related GitHub repo
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