Excerpt from the official tidytuesday project on GitHub:
The #tidytuesday project is a weekly data project aimed at the R ecosystem. An emphasis will be placed on understanding how to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem.
This repository is a collection of some code snippets used for wrangling, aggregating and visualizing data with tidyverse to create a meaningful insight about the underlying weekly data sets.
Important Sometimes, code is minimalized and its focus is to show how data is prepared, aggregated and visualized (without distraction of styling and modifying theme, fonts, etc.) and charts in the images folder are created with the code shown here with additional theme modifications.
In order to submit an animation to twitter, one has to convert it to a gif or movie file.
On twitter, gif files look often better than movie files.
Additionally, one can pause animation by tapping on gif animation.
For detailed twitter specifications on image and movie files, see here.
Install ffmpeg and gifski, e.g. in macOS via brew
brew install ffmpeg
brew install gifski
In order to get a high resolution gif file, use gifski.
On macOS:
ffmpeg -y -i input.mov -vf "setpts=0.5*PTS" frames/frame%04d.png
gifski -o output.gif frames/frame*.png
Change fps and width
gifski --fps 1 -W 1080 -o output.gif frames/frame*.png
ffmpeg -y -i input.mov -vf "setpts=0.5*PTS,scale=-1:1080" -r 40000/1001 output.mp4