This project requires Python 2.7 and the following Python libraries installed:
You will also need to have software installed to run and execute a Jupyter Notebook
The analysis is performed in the customer_segments.ipynb
notebook file. In a terminal, enter:
jupyter notebook customer_segments.ipynb
This will open the Jupyter Notebook software and project file in your browser.
The customer segments data is included as a selection of 440 data points collected on data found from clients of a wholesale distributor in Lisbon, Portugal. More information can be found on the UCI Machine Learning Repository.
Note (m.u.) is shorthand for monetary units.
Features
Fresh
: annual spending (m.u.) on fresh products (Continuous);Milk
: annual spending (m.u.) on milk products (Continuous);Grocery
: annual spending (m.u.) on grocery products (Continuous);Frozen
: annual spending (m.u.) on frozen products (Continuous);Detergents_Paper
: annual spending (m.u.) on detergents and paper products (Continuous);Delicatessen
: annual spending (m.u.) on and delicatessen products (Continuous);Channel
: {Hotel/Restaurant/Cafe - 1, Retail - 2} (Nominal)Region
: {Lisbon - 1, Oporto - 2, or Other - 3} (Nominal)