Daniel Tafmizi

Dr. Friedman

November 24, 2024

Lis 4317

Module 13

Github: daniel.R/Work.R/LIS4370Rprog/AnimationR.R at main · DanielDataGit/daniel.R


    After some researching, I decided to use ggplot's gganimate package to create my visualization. I used this because I am familiar with ggplot's ecosystem. It offers a useful function for animating line plots. The "transition_reveal(year)" method, initiates a program that renders the data to appear by year. I applied this to my precious Stock Exchange Data and am pleased with the result. I initially colored the lines by the exchange name, but it was kind of difficult to link the legend and lines in real time. I decided to group by region to simplify the links between the data and the legend. 
    I like this design. A static graph is great for displaying complex data visualizations. However, the animation allows the data tell its own story.  


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