Data Management

This is the repository for a data management course at OSIPP, Osaka University.

Contents

• slides: Lecture slides
• code: Jupyter Notebook (ipynb) and R (R and Rmd) files
• data: Data

How to go through the material

1. 1_intro.pdf
   • python_install_1.ipynb
2. Python

• Basics
  • python_basics_1_mod.ipynb
• Data cleaning and analysis
  • 2_data_management.pdf
  • python_clean_data_1_mod.ipynb
  • python_make_final_data_1_mod.ipynb
  • python_analyze_data_1_mod.ipynb
• Applications
  • python_scraping_1_mod.ipynb (web scraping)
  • python_text_as_data_1.ipynb (text analysis, machine learning)

3. R

• Basics
  • 3_install_R.pdf
  • R_install_1.R
  • R_basics_1.Rmd
• Data cleaning and analysis
  • R_clean_data_1.Rmd
  • R_make_final_data_1.Rmd
  • R_analyze_data_1.Rmd

Notes

• You need to install Jupyter Notebook before opening ".ipynb" files. See "1_intro.pdf" for more details.
• You need to install R (and RStudio) before running R code. See "3_install_R.pdf" for more details.