This third and final part of the project follows the EDA part, and intends to dig deeper into the findings made in that EDA. In the first section, we build our statistical model, which includes defining the model, assessing its goodness of fit with various methods, and eventually refining the model; and in the second…
The first part of this project presents how the data used in the project was scraped from the web. Unlike part 2 and 3, this part will not be extensively commented, only the main ideas behind how the code was structured will be explained. The code itself contains many comments explaining the actions within each…
In the second part of this project, we will carry out exploratory data analysis on the data we collected in part 1. This EDA part consists of two main sections: organising and preparing the dataframes for visualisation using Pandas, and data visualisation using Pandas and Plotly. The main goal of this analysis is to find…