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Rental Data Analysis

Instructions

The requirements are:

  • to inspect and detect incomplete data;

  • to clean data;

  • initial visualisation and analysis of collected data;

  • analyse price fluctuation based on the provided CSV files (May, June and July);

  • determine the correlation between the rental price and the other indices such as area, nr. of bed, nr. of bath, furnished or unfurnished;

  • analyse and visualise the price patterns during the three months;

  • name other factors that may influence the private rental market in Greater London;

  • use several methods to analyse data and explain them in detail with screenshots which are meaningfully named;

  • explain the results of the analysis in great detail;

  • chose the more appropriate method for price prediction and justify the choice;

  • explain the results of the rental price prediction for Greater London in more detail.

  • Provide conclusions and future recommendations.

Besides explanations, the report should have relevant pictures which help explain the steps of the analysis and prediction, all named in a meaningful way.

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