Information visualization

This project contains code and data (sources) that are used to create graphics for exercise 2 of the course 172383 - Informationsvisualisierung.

Folder structure

• The name of the folder indicates the type of graph as "Bar, Curve, Bar and Curve".
• Each file is structured:

 Data: Folder that contains the data used to create the plot.
 Code: folder containing the code that generates the plot.
 Readme.md: contains notes on the data and the code.                   

The libraries are used during extraction, data matching and graph generation:

library(ggridges)
library(ggplot2)
library(dplyr)
library(tidyr)
library(forcats)
library(hrbrthemes)
library(viridis)
library(plotly)
library(lubridate)

Global Theme : This theme is applied to all graphics.

Global_theme <- function(Ggplot) {
  Themed_Graph=Gplot+ theme( axis.title.y  = element_text(hjust = 0.5,size = 13,face = "bold"),
         axis.title.x = element_text(hjust = 0.5,size = 13,face = "bold"),  plot.title = element_text(hjust = 0.5, family = "Arial",face = "bold",size = 17),
                             legend.background = element_rect(fill = "white",colour = "grey",size = 2),
                             panel.grid.major = element_line(colour ="grey70" ,size = 0.1))

  return(Themed_Graph)
}

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT