How to recreate WEB DuBois's Panel 12 from the 1900 Paris Exposition using R and ggplot2 (CC340)

Using gganimate to animate changes in life expectancy and health care spending with R (CC339)

Using ggplot2 to visualize relationship between life expectancy and health spending in R (CC338)

Using dplyr & ggplot2 to make kindergarten vaccination rates a bit more interesting with R (CC337)

Visualizing changes in kindergarten vaccination rates with dplyr and ggplot2 in R (CC336)

Using readxl and dplyr to format messy data to see change in poverty with R (CC335)

Using ggplot2 to quantify the change in the US poverty rate over the last 65 years in R (CC334)

Positron or RStudio? First time Positron user creates scatter plot with R's ggplot2 package (CC333)

Recreating a New York Times bar chart using the ggplot2 R package (CC332)

Recreating a side-by-side line plot from CNN using patchwork and ggplot2 in R (CC331)

Creating side-by-side line plots with ggplot2's facet_grid function in R (CC330)

Visualizing polling bias from the 2024 US presidential election in R with ggplot2 (CC329)

Recreating gradient colored lines in R with ggforce's geom_link function (CC328)

Combining animations of cross country running with ggplot2, gganimate, and magick R packages (CC327)

Faceted log-scaled line plot with error bars using stat_summary from ggplot2 in R (CC326)

Adding log-scaled tick marks to an axis with ggplot2 in R (CC325)

Plotting a dilution series using ggplot2 in R with geom_jitter and stat_summary (CC324)

Recreating published boxplots from a dilution series using ggplot2 in R (CC323)

Data journalism makeover with ggplot2 in R to make labelled line plot with google fonts (CC322)

Using ggplot2 and R to recreate a data journalist's figure about Michigan wages (CC321)

Going for simple with ggplot2 and dplyr (CC320)

Adding patterns to barplots with ggpattern and ggplot2 in R (CC319)

Creating bar plot with error bars using ggplot2's stat_summary in R (CC318)

Putting a break in the x-axis using facet_grid from ggplot2 R package (CC317)

Creating a broken x-axis using only the ggplot2 package in R (CC316)

Recreating a Venn diagram with geom_ribbon from ggplot2 in R (CC315)

Recreating a Venn diagram with ggplot2 in R as a scatter plot (CC314)

Making a labelled slope plot with the help of R's ggrepel and ggplot2 (CC313)

Making a labelled scatter plot with the help of R's ggrepel and ggplot2 (CC312)

Using ggplot2's facet_wrap to create three panelled figure in R (CC311)

Composing two box plots with significance lines in R's ggplot2 and patchwork (CC310)

Data viz make over from bar plot to dot plot with ggplot2 in R (CC309)

Recreating a grouped and labelled barplot in R with ggplot2 (CC308)

Converting a 1D scatter plot to a histogram or density plot using the ggplot2 package in R (CC307)

Submitting an R package to CRAN with help from the devtools package (CC306)

Customizing axes in a 1D scatter plot using the ggplot2 package in R (CC305)

Comparing and optimizing performance of phyloytypr to mothur (CC304)

Closing issues on GitHub when building R packages with test driven development (CC303)

The effect of debug mode when benchmarking R package performance (CC302)

Using the precommit R package to automate testing code and documentation quality(CC301)

Using lintr and styler to improve the quality and readability of R code (CC300)

How to use GitHub actions to build on other operating systems and test code coverage (CC299)

How to create a website for your R package with pkgdown (CC298)

How to create a vignette for an R package (CC297)

How to create a data only R package with devtools (CC296)

How to delete large files from your git/GitHub commit history (CC295)

Adding built in data to an R package (CC294)

Using Roxygen2 to document functions in an R package (CC293)

Benchmarking R functions for joining data frames (CC292)

Benchmarking R functions for reading tsv files (CC291)

Benchmarking methods for reading text files in R (CC290)

Writing an R function to read FASTA-formatted files (CC289)

Incorporating C++ code in an R package with Rcpp and devtools (CC288)

Integrating ideas from Stack Overflow to improve our R code (CC287)

Using R's profvis package to diagnose and resolve bottlenecks (CC286)

Base R's paste and paste0 functions: how to use the sep and collapse arguments (CC285)

Finding the consensus classification using anonymous functions (CC284)

Generating and classifying bootstrap replicates with test driven development (CC283)

base R, stringi, and stringr: Benchmarking string manipulations with (CC282)

Refactoring R code to make it faster and more memory efficient (CC281)