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Advanced Data Wrangling and Analysis
- Overview
- Importing Data
- Tidy Data
- Reshaping Data
- Dealing with Missing Data
- Changing Variable Types
- Advanced Variable Creation
- Advanced Summarizing
- Binding Data Frames
- Functions
- Merging Data
- Renaming Variables
- Quick Interlude to Reorganize our Code
- Exporting Data
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Advanced Data Visualization
- Data Visualization Best Practices
- Tidy Data
- Pipe Data Into ggplot
- Reorder Plots to Highlight Findings
- Line Charts
- Use Color to Highlight Findings
- Declutter
- Use the scales Package for Nicely Formatted Values
- Use Direct Labeling
- Use Axis Text Wisely
- Use Titles to Highlight Findings
- Use Color in Titles to Highlight Findings
- Use Annotations to Explain
- Tweak Spacing
- Customize Your Theme
- Customize Your Fonts
- Try New Plot Types
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Advanced RMarkdown
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- Making Your Reports Shine: Word Edition
- Making Your Reports Shine: HTML Edition
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Wrapping Up
- You Did It!
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.
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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