Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 

Safe Handling Instructions for Missing Data

About

This repository contains the code used to generate the experimental data, one run of experimental data, and the analysis code used in "Safe Handling Instructions for Missing Data", a paper to be presented at the 2018 meeting of the Python in Science Conferences (SciPy 2018).

How to use this repository

  1. Install the libraries at their pinned versions (found in requirements.txt) into a virtual environment.
  2. Open the analysis notebook with jupyter notebook analysis.ipynb
  3. The notebook is pre-populated with the output from the last time it was executed. You are free to modify the code in the notebook and re-run it to see how it changes the output of the analysis.

To re-run the experiment which generated the data, run python make_data.py. Use the -h flag to see experimental parameters that you can set. Be warned that, depending on which options you choose, the total runtime of the experiment may extend beyond several days.

About

Code and data for SciPy 2018 talk on missing data

Resources

License

Releases

No releases published

Packages

No packages published