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This notebook is in the area of People Analytics and includes the analysis of the IBM dataset to identify attrition. Besides attrition I also focus on diversity. I created strategies to reduce attrition.

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Attrition and Diversity

I used the dataset created by IBM to identify attrition. The dataset is available on Kaggle.

Besides the reasons for attrition (including strategies to reduce the risk), I also created a notebook about the diversity in this dataset to give recommendations for especially the Recruiting process and to increase diversity in the company and departments.

Bruce


Repo structure

  • the final notebooks are here
  • used and created images are here

Requirements

  • pyenv with Python: 3.9.9
  • Pandas
  • Numpy
  • Matplotlib
  • Seaborn
  • HVPlot
  • Pivot

Setup

pyenv local 3.9.9
python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip

pip install hvplot
pip install selenium
from bokeh.io import export_png

for version of jupyterlab<3.0:
jupyter labextension install @pyviz/jupyterlab_pyviz

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This notebook is in the area of People Analytics and includes the analysis of the IBM dataset to identify attrition. Besides attrition I also focus on diversity. I created strategies to reduce attrition.

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