Skip to content

Auto processing amalan yaumi from csv format to pdf graph.

Notifications You must be signed in to change notification settings

AkmalArifin/statistik-amalan-yaumi

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Statistik Amalan Yaumi

Auto processing amalan yaumi from csv format to pdf graph. This tools use specific format of csv file to generate multiple graph group by the first column, in my case was name, to individual graph. The format csv file is the first row is column name, and it will group by the first column, and the rest of column is the amalan yaumi value in format of percent. Example.

Installation

  1. Clone the repository:
    git clone https://github.com/AkmalArifin/statistik-amalan-yaumi.git
  2. Install dependencies:
    • Python
    • gnuplot
      • Windows:
      • Mac:
        • Open your terminal
        • Type brew install gnuplot
      • Linux:
        • Open your terminal
        • Type sudo apt-get install gnuplot

Usage

  1. Save your csv file in /raw folder. Use format {NUMBER_OF_ORDER}_{MONTH}.csv. The graph will show according the number of order.
  2. Before you start, makesure the other except /script and /raw is clear. You can use the command below to clear file on those folder.
    ./clear.sh
  3. To run the file, run the command below Fill your target file in /raw folder without the extension. Example ./all.sh 1_Januari
    ./all.sh {TARGET_FILE}
  4. Wait until the program finished. It will took a while.
  5. After it finished. Check /get folder. The file should be there.
  6. If you want to make multiple month, just run the programme for other month but don't clear the results. It will automatically add to the existing graph.

Contact

If there is an error or something, you can always ping me on my instagram @menujuakmal Have Fun!

About

Auto processing amalan yaumi from csv format to pdf graph.

Resources

Stars

Watchers

Forks

Packages

No packages published