#TidyTuesday

What is it all about?

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.

Code

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: The code is minimalized and it's focus is to show how data is prepared, aggregated and visualized (without distraction of styling and modifying theme, fonts, etc.). Charts in the images folder are created with the code shown here with additional theme modifications.

Following package versions are used in tidyverse:

── Attaching packages ─────────────────────────────────────── tidyverse 1.2.1 ──
✔ ggplot2 3.1.0          ✔ purrr   0.3.0     
✔ tibble  2.0.1          ✔ dplyr   0.8.0.1   
✔ tidyr   0.8.3.9000     ✔ stringr 1.3.1.9000
✔ readr   1.3.1          ✔ forcats 0.4.0

Submit attachments on twitter

Video file conversion (to .mp4)

ffmpeg -y -i input.mov -vf "setpts=0.5*PTS,scale=-1:1080" -r 40000/1001 output.mp4

Video file conversion (to .gif)

In order to get a high resolution gif file, use gifski. On macOS:

brew install gifski
ffmpeg -y -i input.mov -vf "setpts=0.5*PTS" frames/frame%04d.png
gifski -o output.gif frames/frame*.png

Change fps