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RMarkdown
- Why Use RMarkdown?
- RMarkdown Overview
- YAML
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- Code Chunks
- Wrapping Up
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Data Wrangling and Analysis
- Getting Started
- The Tidyverse
- select
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- Create a New Data Frame
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Data Visualization
- An Important Workflow Tip
- The Grammar of Graphics
- Scatterplots
- Histograms
- Bar Charts
- color and fill
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- Text and Labels
- Plot Labels
- Themes
- Facets
- Save Plots
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Wrapping Up
- You Did It!
Fundamentals of R
Scatterplots
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This lesson is called Scatterplots, part of the Fundamentals of R course. This lesson is called Scatterplots, part of the Fundamentals of R course.
Transcript
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Your Turn
Complete the scatterplot sections of the data-visualization-exercises.Rmd file.
Learn More
Scatterplot Resources
Claus Wilke talks about scatterplots in Chapter 12 of his book Fundamentals of Data Visualization. Michael Toth also has a long blog post about all of the ins and outs of making scatterplots in ggplot.
You can also find examples of code to make scatterplots on the Data to Viz website , the R Graph Gallery website , and in Chapter 5 of the R Graphics Cookbook.
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Jeff Shandling
April 4, 2021
Getting the following error: Error in loadNamespace(name) : there is no package called ‘farver’ when I add the mapping code, the variables are not auto-populating
David Keyes
April 5, 2021
That's super weird. It seems that the farver package, which I believe is a dependency of ggplot (i.e. a package that ggplot relies on), didn't get installed. Try installing it with
install.packages('farver')and let me know if it works after that!Abby Isaacson
April 6, 2021
We may not be there yet, but for axis labeling if we wanted to add units to the labels, is that easy?
David Keyes
April 6, 2021
Can you clarify what you mean by adding units to the labels? I'm not sure I quite get it.
Abby Isaacson
April 6, 2021
Sure! I mean simply height (cm) and age (years).
David Keyes
April 6, 2021
Ah, ok! Yes, you use the
labs()function for this, which you'll learn about in the plot labels lesson.Jimmy Frickey
April 25, 2021
Hi David,
Here are 2 versions of code that both produce the scatterplot of height vs weight from nhanes dataset. The first is from your solutions, and the second if following r4ds text. Can you briefly comment on why they both "work"? Is one better than another?
ggplot(data = nhanes, mapping = aes(x = weight, y = height)) + geom_point()
ggplot(data = nhanes) + geom_point(mapping = aes(x = weight, y = height))
David Keyes
April 26, 2021
This is a great question! I made a short video to show the difference between the two approaches. Hope that's helpful!
Tatiana Bustos
July 28, 2022
Great explanation!
Juan Clavijo
October 11, 2021
You mentioned that ggplot will automatically remove observations with missing data. If I'm plotting average test scores for mid-term and final exams, for example, and one student took the final but did not take the mid-term, will ggplot remove that student's data from the graph completely, or will it just plot the final exam and omit the mid-term score that does not exist?
Esther Okoye
April 5, 2022
Hello, Please i cant the data visualization exercise on my studio, do i have to do anything?
Esther Okoye
April 5, 2022
hey, thank you, i have figured it out
Charlie Hadley
April 5, 2022
Hi Esther,
Could you follow the instructions in this video and tell me what you see?
Thanks, Charlie
Acarilia Eduardo
April 18, 2022
Hi Charlie,
Out of curiosity, I clicked on the link to the video above and got a 404 error message.
Charlie Hadley
April 19, 2022
Hi Acarilia, I've changed the settings for the video so you can see it too.
Elijah Phillips
October 13, 2022
Where do we get the .rmd file for this?
Charlie Hadley
October 13, 2022
Hi Elijah! The .Rmd is from this Github repository - https://github.com/rfortherestofus/fundamentals. You can download the project onto your machine with this link https://github.com/rfortherestofus/fundamentals/archive/refs/heads/master.zip
Cheers, Charlie
Ellen Wilson
October 31, 2022
It seems like the clean_names function didn't work for me--when I start typing the code for the scatterplot, it isn't suggesting the variable names. This is what I put for clean_names
And then I got this message (which looks different from what you got)
Rows: 10000 Columns: 22── Column specification ────────────────────────────────────────────────────────────────────────────── Delimiter: "," chr (13): SurveyYr, Gender, AgeDecade, Race1, Education, MaritalStatus, HHIncome, HomeOwn, Work, H... dbl (9): ID, Age, Weight, Height, BMI, DaysPhysHlthBad, DaysMentHlthBad, SleepHrsNight, PhysActiv... ℹ Use
spec()to retrieve the full column specification for this data. ℹ Specify the column types or setshow_col_types = FALSEto quiet this message.Charlie Hadley
November 1, 2022
Hello Ellen,
It looks like you've mistyped the pipe, in the code you provided you have:
Whereas the pipe should be written as %>%, ie
Please also not that you will need to make an assignment if you want the effect of clean_names() to be applied to the object, when we run code like this the only outcome we have is printing the output to the console. Assignments are how we change objects.
Thanks,
Charlie
Oscar Tetteh
March 27, 2023
Please could you email me the nhames data set? This is my mail: bismarktetteh25@gmail.com