Animate Graphs in R: Make Gorgeous Animated Plots with gganimate

dataslice · Intermediate ·📰 AI News & Updates ·5y ago
Animate Graphs in R: Make Gorgeous Animated Plots with gganimate Katherine Goode's slides: https://goodekat.github.io/presentations/2019-isugg-gganimate-spooky/slides.html#1 gganimate Documentation: https://gganimate.com/reference/index.html Code: https://github.com/abhimotgi/dataslice/blob/master/R/gganimate%20code.R Datanovia walkthrough (this video builds off the examples): https://www.datanovia.com/en/blog/gganimate-how-to-create-plots-with-beautiful-animation-in-r/ Video Game Sales Dataset: https://www.kaggle.com/gregorut/videogamesales Google Play Store Apps Dataset: https://www.kaggle…
Watch on YouTube ↗ (saves to browser)

Chapters (5)

Intro
0:55 Graph 1: Transition through time
6:08 Graph 2: Data gradually appears
10:25 Graph 3: Transition between states
13:20 Additional documentation

Playlist

Uploads from Dataslice · Dataslice · 9 of 22

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2 Web Scrape Nested Links/Multiple Pages - Web Scraping in R (Part 2)
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3 Web Scrape Multiple Pages with Loops - Web Scraping in R (Part 3)
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4 Web Scrape Tables - Web Scraping in R (Part 4)
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8 Make Beautiful Graphs in R: 5 Quick Ways to Improve ggplot2 Graphs
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Animate Graphs in R: Make Gorgeous Animated Plots with gganimate
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10 Word Clouds in R: Useful & Beautiful Word Clouds with wordcloud2
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12 Web Scrape in Google Sheets: IMPORTXML Function (Part 2)
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13 Make Interactive Graphs in R: Creating & Embedding Interactive Graphs with plotly
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14 R Maps: Beautiful Interactive Choropleth & Scatter Maps with Plotly
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15 Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 1: Site Configuration
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16 Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 2: Adding Posts
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17 Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 3: Customization
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18 Regex Basics | Match, Extract, and Clean Text
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19 Scrape Websites with Regular Expressions
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20 Dplyr Essentials (easy data manipulation in R): select, mutate, filter, group_by, summarise, & more
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21 Dplyr Advanced Guide: data cleaning, reshaping, and merging with lubridate, stringr, tidyr, ggplot2
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22 Linear Regression Plots in R
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