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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.

License: MIT License

Jupyter Notebook 100.00%

hr_analytics_ibmdataset's Introduction

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.

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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