animated_bar_charts_in_R

• animated bar chart source code by github.com/amrrs
• names data provided by https://daten.berlin.de/
• names data chart: idea and concept, data preparation and analysis: https://github.com/hhnnhh (Hannah Bohle)

Read.me by hhnnhh:

The goal of this project is to visualise the frequency of the twenty most frequent first names in Berlin over the years 2012 to 2018. Female and male first names are visualised separately in animated bar plots.

Read.me by amrrs:

The goal of this project is explain how to build Animated Bar Charts in R (which is kinda trending on Social Media these days)

Disclaimer: The code used here is heaving borrowed (You can say, inspired and copied) from the answers of this Stack Overflow Question Animated sorted bar chart with bars overtaking each other

Final Output (GIF):

Codes

• names_data_preparation.R - Cleaning up the data downloaded from "Open Data Berlin"
• animated_bar_plot_in_R_for_female.R - Building Animated Bar Plots for the female names
• animated_bar_plot_in_R_for_male.R - Building Animated Bar Plots for the male names

Reproducibility

Packages used:

• gganimate
• tidyverse

Session Info:

> sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS  10.14.3

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] gganimate_1.0.1 forcats_0.3.0   stringr_1.4.0   dplyr_0.8.0.1  
 [5] purrr_0.3.2     readr_1.3.1     tidyr_0.8.3     tibble_2.0.1   
 [9] ggplot2_3.1.0   tidyverse_1.2.1

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.1        cellranger_1.1.0  pillar_1.3.1     
 [4] compiler_3.5.1    plyr_1.8.4        prettyunits_1.0.2
 [7] tools_3.5.1       progress_1.2.0    digest_0.6.18    
[10] jsonlite_1.6      lubridate_1.7.4   gtable_0.2.0     
[13] nlme_3.1-137      lattice_0.20-38   png_0.1-7        
[16] pkgconfig_2.0.2   rlang_0.3.2.9000  cli_1.0.1        
[19] rstudioapi_0.9.0  haven_1.1.2       withr_2.1.2      
[22] xml2_1.2.0        httr_1.4.0        hms_0.4.2        
[25] grid_3.5.1        tidyselect_0.2.5  glue_1.3.0       
[28] R6_2.4.0          gifski_0.8.6      readxl_1.1.0     
[31] modelr_0.1.2      tweenr_1.0.1      farver_1.0       
[34] magrittr_1.5      scales_1.0.0      backports_1.1.2  
[37] rvest_0.3.2       assertthat_0.2.0  colorspace_1.3-2 
[40] labeling_0.3      stringi_1.3.1     lazyeval_0.2.1   
[43] munsell_0.5.0     broom_0.5.0       crayon_1.3.4  

Data Source:

The origin input data (csv) has been downloaded from Berlin Open Data