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sysarmy Salary Surveys (Data Wrangling)

keywords: data wrangling, python, jupyter notebook, pandas, excel, csv

This project cleans and concatenates the results of IT salary surveys made by sysarmy in South America.

Datasets

Input

  • Salary surveys:
  • Currencies data
    • /data/input/USDARS_CUR.json: Link
    • /data/input/USDBOB_CUR.json: Link
    • /data/input/USDCLP_CUR.json: Link
    • /data/input/USDCOP_CUR.json: Link
    • /data/input/USDCRC_CUR.json: Link
    • /data/input/USDCUP_CUR.json: Link
    • /data/input/USDDOP_CUR.json: Link
    • /data/input/USDGTQ_CUR.json: Link
    • /data/input/USDHNL_CUR.json: Link
    • /data/input/USDMXN_CUR.json: Link
    • /data/input/USDNIO_CUR.json: Link
    • /data/input/USDPAB_CUR.json: Link
    • /data/input/USDPEN_CUR.json: Link
    • /data/input/USDPYG_CUR.json: Link
    • /data/input/USDUYU_CUR.json: Link
    • /data/input/USDVEF_CUR.json: Link

Output

  • /data/output/encuestas.csv: unified, cleaned and normalized dataset with the salary surveys results.

Other files

  • sysarmy_sueldos_wrangling.ipynb: Jupyter Notebook that contains details and codes for the data wrangling process.
  • sysarmy_sueldos_wrangling.yml: Configuration file

ToDo

  • experiencia a números enteros
  • antiguedad a números enteros
  • normalizar/categorizar trabajo
  • normalizar/categorizar discapacidad
  • normalizar/categorizar eventos_tecnologia

Sources