Data Visualization with R (Path)
This post was published 2 years ago. Download links are most likely obsolete. If that's the case, try asking the uploader to re-upload.
Emilee McWilliams (et al.) | Duration: 7 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 1,02 GB | Language: English
One of the best ways to analyze data is visually. It takes a fraction of a second to create connections and see patterns. Data Visualization is one of the best ways to sum up hundreds, thousands, even millions of data points at a glance.
Courses in this path
A: Beginner
Create simple charts using base R graphics and create advanced charts using ggplot2.
• Creating Visualizations Using Base R Graphics (Emilee McWilliams, 2019)
• Creating Visualizations in R Using ggplot2: R Playbook (Emilee McWilliams, 2019)
B: Intermediate
Format the elements of ggplot2 plots to customize the visualization for a specific purpose as well as adding annotations to plots.
• Formatting ggplot2 Visualization Elements in R (Martin Burger, 2019)
• Annotating ggplot2 Visualizations in R (Martin Burger, 2019)
C: Advanced
Create special-purpose plots using specific R packages.
• Creating Special-purpose Plots: R Playbook (Chase DeHan, 2019)
Homepage
Screenshots
Quick check before we show the links
Helps us keep automated scrapers from hammering the filehosts.