I will, using different python libraries, extract required data (using Beautifulsoup and Selenium) from provided sources, then prepare it for analysis by detection missing values and outliers which will be dealt with the appropriate method, and build an over view of the data using different statistical summaries and visuals (using Pandas and Numpy) to detect the main parameters that I will be building my analysis upon, which will be then studied carefully to correlate between them and show if any trends are present, reaching to final outcome and conclusion with sufficient visuals ( with Seaborn and Matplotlib).