chingt / data-backend-challenge

Data Backend Challenge

Task Description

The goal is to estimate the combinatorial complexity of the Mercedes EQS, focusing on calculating the number of possible vehicle configurations. This involves analyzing the options provided in the table while considering the constraints outlined in the fine print of the attached PDF.

Getting Started

Installation

python -m pip install -r requirements.txt

Approach

1. Data Extraction:

   • Extract relevant data from the PDF file, and identify constraints mentioned in the fine print regarding how different equipment codes relate to the described options. Refer to visualization.ipynb for a visualization of the data extraction process. The current implementation only extracts data from Serienausstattungen section (page 7-17).

2. Combination Calculation:

   • Develop algorithms to calculate the number of possible vehicle configurations, taking into account the identified constraints. Refer to combinations.py for the calculation of the possible combinations.

   • We compute the combinations for each vehicle type ("EQS 350", "EQS 450+", "EQS 580 4MATIC", "Mercedes-AMG EQS 53 4MATIC+"), considering certain configurations may not be feasible for specific vehicle types.

   • In the sections like Serienausstattungen and Einzelausstattungen, the configurations are largely independent, allowing each configuration to be either enabled or disabled. Only combinations with constrained configurations are not allowed. However, for categories like Polster, Lacke, Zierelemente, Innenhimmel, and Räder, buyers are constrained to selecting only one option from each category. In addition, combinations involving Polster and Lacke must align with the valid combinations outlined in the table on page 44.