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Advanced Data Wrangling
- Downloading and Importing Data
- Overview of Tidy Data
- Tidy Data Rule #1: Every Column is a Variable
- Tidy Data Rule #3: Every Cell is a Single Value
- Tidy Data Rule #2: Every Row is an Observation
- Changing Variable Types
- Dealing with Missing Data
- Advanced Summarizing
- Binding Data Frames
- Functions
- Data Merging
- Exporting Data
- Bring It All Together (Advanced Data Wrangling)
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Advanced Data Visualization
- Best Practices in Data Visualization
- Tidy Data
- Pipe Data into ggplot
- Reorder Plots to Highlight Findings
- Line Charts
- Use Color to Highlight Findings
- Declutter
- Add Descriptive Labels to Your Plots
- Use Titles to Highlight Findings
- Use Annotations to Explain
- Tweak Spacing
- Create a Custom Theme
- Customize Your Fonts
- Try New Plot Types
- Bring it All Together (Advanced Data Visualization)
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Quarto
- Advanced Markdown
- Advanced YAML and Code Chunk Options
- Tables
- Inline R Code
- Making Your Reports Shine: Word Edition
- Making Your Reports Shine: PDF Edition
- Making Your Reports Shine: HTML Edition
- Presentations
- Dashboards
- Websites
- Publishing Your Work
- Quarto Extensions
- Parameterized Reporting, Part 1
- Parameterized Reporting, Part 2
- Parameterized Reporting, Part 3
- Wrapping up Going Deeper with R
Going Deeper with R
Line Charts
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This lesson is called Line Charts, part of the Going Deeper with R course. This lesson is called Line Charts, part of the Going Deeper with R course.
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Transcript
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Your Turn
Make a line chart that shows the growth in the Hispanic/Latino population in school districts from 2017-2018 to 2018-2019
Learn More
There are also spins on line charts that you can easily make by adjusting your geom. For example, you can use geom_area()to make area charts.
There are also extensions that take idea of line charts further. Here is a plot made with the ggbump package, for instance, which enables you to make slopegraphs (another cousin of line charts) with curves.
Hockey Goals for #TidyTuesday. This is the third plot I fiddled with but still not quite satisfied... Used ggbump by @davsjob and made a slopegraph but with curves
— Georgios Karamanis (@geokaramanis) March 8, 2020
code: https://t.co/5U4suasTuw#rstats #dataviz pic.twitter.com/p61ztURoX7
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