sahgerlad / mleng-politicalparties-python-exercise

This repository contain the ML Engineer pairing exercise interview.

Survey Analysis

As a data scientist you are required to analyse the political landscape of Europe using the Chapel Hill Expert Survery dataset. The dataset provides insights into the positioning of 277 political parties in Europe based on 55 different attributes. The dataset can be downloaded here and the codebook provides further information on the survey attributes.

This repository contains the necessary setup and code base to help guide you in performing an analysis using different statistical methods.

Project Setup

Pre-requisites

Please make sure you have the following software installed

• Python (3.10 or 3.11)

Install all python dependencies

Before you install dependencies make sure you add your python path to the makefile.

make install

Run tests & checks

The unit tests can be run either by using the make commands (given in the makefile) or by using the commands from the respective packages. For example, unit tests can be executed using,

make test

Gearing Up for the Pairing Session

Please be sure to complete the below tasks before the pairing session.

1. Get a high-level understanding of the dataset
2. Have your coding environment ready by installing python and dependencies.
3. Ensure that you are able to run all commands mentioned in this README (except for pytest errors)

Please note that you DO NOT have to complete the code/tasks inside the src/ folder. It is meant to be done together during pairing session.