Faceting is a very useful feature in ggplot which allows us to split our data by one or more variables, and generate a plot on each subset of the data. For e.g, the code below will generate a scatter plot depicting the relationship between the price of the diamond and it’s carat for...
Multiple plot types cater to different needs and datasets. From simple line and bar charts to more complex scatter plots and histograms, each type serves a unique purpose.Line charts, for example, are excellent for displaying data trends over time, whilescatter plotsare optimal for examining the ...
Convenience function which returns a data frame with normalized peak densities suitable for plotting with ggplot2Julius Muller
Notice that creating the ggplot graphics object itself is very fast. The time-consuming work comes from the actually plotting of the image. Here is a timing of a plot with geom_point_img where we save (rather than plot) the graphics object: system.time({ p <- ggplot(posters_sim) + ge...
Mapping in R using the ggplot2 package A new data processing workflow for R: dplyr, magrittr, tidyr and ggplot2 We start with the the quick setup and a default plot followed by a range of adjustments below. Quick-setup: The dataset ...
It provides a Qt interface and allows to exchange data with Microsoft Excel. Matplotlib has several higher-level plotting interfaces like seaborn, ggplot, and holoviews. It is an entirely open-source platform and free to use. Matplotlib is a cross-platform application that runs on both Linux and...
Filed under Data Visualization, R programming, Tutorials Tagged with BC Cancer Agency, bcca, BCCDC, British Columbia Cancer Agency, British Columbia Centre for Disease Control, Data Visualization, ggplot2, graphs, Hadley Wickham, Joanna Zhao, Naomi Robbins, plot, plots, plotting, R, R programming...
Mapping movement data with ggmap and ggplot. I hope that you found this post helpful or at least interesting. Please let me know if you have an R question that you would like explained on here. And thanks for following along with my R journey. ShareTweet To leave a comment for the ...
ggperiodic is an attempt to solve the issue of plotting periodic data in ggplot2. It automatically augments your data to wrap it around to any arbitrary domain. Installation You can install the latest version from CRAN with install.packages("ggperiodic") ...
Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib. Includes comparison with ggplot2 for R.