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Try New Plot Types

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Transcript

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Your Turn

  • Use one of the packages above to make a unique plot. For example, you might use dumbell plots in the ggalt package to show change in the Hispanic/Latino population from 2017-2018 to 2018-2019 for all districts.

  • When you finish your plot, email it to me at [email protected]! I’d love to see what you come up with.

Heads up: You likely want to watch the solutions video because it involves reshaping the data to make it work with the ggalt package.

Learn More

You can see all of the geoms built into ggplot here.

The documentation websites for the packages discussed in this lesson are below:

To learn more about other things that. arepossible with ggplot, check out the awesome ggplot2 GitHub repository , which has a list of a lot of other great ggplot extensions to try out!

I'd also recommend looking at the Data to Viz website , which lists various visualization options and provides sample R code for each.

Finally, if you're not already following Tidy Tuesday , check it out! Every week, a new data set is released, which people then analyze and visualize. They post their results using the #TidyTuesday hashtag. The most incredible thing is that people often post their code alongside their visualizations so you can see how they did what they did.

Three regular Tidy Tuesday contributors I'd recommend following (their work is exceptional and they always post their code) are:

Have any questions? Put them below and we will help you out!

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Atlang Mompe

Atlang Mompe

June 24, 2021

Hi David, I have loaded the janitor package like you did and ran the code on the solution just to see if it works but I get this error: Error in geom_dumbbell(colour_x = "gray", colour = "gray", colour_xend = "blue", : could not find function "geom_dumbbell" >

Atlang Mompe

Atlang Mompe

June 24, 2021

This is the code from the solution: enrollment_by_race_ethnicity %>% filter(race_ethnicity == "Hispanic/Latino") %>% select(-c(race_ethnicity, number_of_students, district_id)) %>% pivot_wider(id_cols = district, names_from = year, values_from = percent_of_total_at_school) %>% clean_names() %>% slice(1:10) %>% ggplot(aes(x = x2017_2018, xend = x2018_2019, y = district, yend = district)) + geom_dumbbell(colour_x = "gray", colour = "gray", colour_xend = "blue", size_x = 3, size_xend = 1.5) + theme_student() + scale_x_continuous(label = percent_format())

Atlang Mompe

Atlang Mompe

June 24, 2021

I also tried to install the ggalt package and it says: Error in library(ggalt) : there is no package called ‘ggalt’.

For this lesson, these are all the libraries that I have uploaded. library(tidyverse) library(hrbrthemes) library(scales) library(ggtext) library(extrafont) loadfonts() library(janitor) library(ggalt)

David Keyes

David Keyes

June 25, 2021

Hmm, that's odd. It definitely seems like you haven't installed ggalt. Can you try running install.packages("ggalt") again and then running your code again to see if it works?

David Keyes

David Keyes

January 9, 2022

I do! The code to make it is here. I found this plot on Twitter originally.

David Keyes

David Keyes

January 10, 2022

Yup, it's the best!

Jeremy Danz

So, I tried re-creating the solution here, and despite changing various things, both the x and xend seem to be getting plotted at -1.0 ?

This is the code I've gotten to now - I was mostly changing bits to see what was broken and what the result of the changes was..

enrollment_by_race_ethnicity %>% filter(race_ethnicity == "White") %>% select(-c(race_ethnicity, number_of_students, district_id)) %>% pivot_wider(id_cols = district, names_from = year, values_from = percent_of_total_at_school)%>% slice(1:10)%>% ggplot(aes(x = 2017-2018, xend = 2018-2019, y = district, yend = district)) + geom_dumbbell(colour_x = "gray", colour = "gray", colour_xend = "red", size_x = 10, size_xend = 1.5) + theme_jd() + scale_x_continuous()

This is a link to the image it's producing .... https://imgur.com/a/PVKb9Td

thanks for any suggestions!

David Keyes

I think you need ticks around the variable names 2017-2018 and 2018-2019. See full code here.

Andrew Paquin

Andrew Paquin

May 27, 2023

When I try to pipe the data (after wrangling) directly into ggplot, etc., I don't get a graph in my Markdown doc. Instead, in my environment pane, I get a file denoted with a magnifying class instead of a table icon. When I open it, I see a lise of attributes (Name, type, value). If I don't pipe the data, it works as expected. Any ideas?

David Keyes

David Keyes

May 30, 2023

Can you share your code please?

Andrew Paquin

Andrew Paquin

May 30, 2023

Sure. It's in my census project on Github (the file is MDI-param-report.Rmd). I'll commit and push now so that it is current. Here is a video showing what I've been experiencing: https://www.loom.com/share/819a48e20aeb466eb6daf7b5aef7eefb

David Keyes

David Keyes

May 30, 2023

Ah yes, I see the issue. You're actually saving your plot as an object called assets_22_23. Just remove that (start your code with the bind_rows() part) and you should get the plot.

Andrew Paquin

Andrew Paquin

May 30, 2023

I think this is part of a basic misunderstanding I'm having regarding R. Questions in this video: https://www.loom.com/share/c846bbf7d58f4deda71178ffc5c815ef