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Data Analysis and Visualisation for a given cleaned data set

Executive Summary

Learning Objectives

  • Understand what pandas and numpy libraries do.
  • Be able to do basic data manipulation in Python.
  • Be able to create some basic plots from pandas data frames.

Data Analysis

pandas is an open source library containing easy-to-use data structures and data analysis tools for the Python programming language.

numpy it is a package used for scientific computing ('NUMerical PYthon'), and comes with quite a few useful methods out of the box, especially when it comes to handling matrices.

Data Visualisation

matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python

seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics

Resources and credits:

Code Clan Kaggle

Libraries and packages:

Pandas NumPy Matplotlib Seaborn

System:

Windows 10

Languages and Tools:

python Anaconda Jupyter Notebook