The project mainly covers the methods used in analysing raw facts. The modules mainly used are Pandas, Numpy and Matplotlib. I will briefly give a short but detailed explanatory on each of the modules used starting with pandas respectively.

Pandas is a fast, powerful, flexible and easy to execute in opening source data analysis. It is manipulation tool built on top of the python programming language further more it has tools for reading and writing data between in memory data structures and different formats. It is among the most powerful open source data manipulation tool available in any programming language. It aims at being the fundamental high level building block for executing practical, real world data analysis in python.

Numpy is a Python library used for working mainly with arrays. It has functions for working in domain of linear algebra, fourier transform and matrices. The array object in numphy provides a lot of supporting functions that make the working very easy.

Matplotlib is a plotting library for python programming language. It has some relation to Numphy as it has numerical mathematics extensions from the latter. It gives an object-oriented API for plotting into applications using GUI tools like Tkinter and GKT. It is also used in creating static, animated and interactive visualizations in python. It makes difficult things possible.

This project can be used as a reference when organising, analysing and even performing specific tasks in a given dataset.