README.md

Data Visualisation Project

Dilan Croos

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Table of Contents

1. About The Project
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contact
5. Acknowledgments

About The Project

Task:

Take a notebook and try to analyse data with visualization to show some relevant information about Covid-19.

Instructions:

• You can use all the Python visualization libraries that you want.

• You need to use at least 3 different kinds of visualization.

• You need to have at least 5 plots in your notebook.

• You need to explain in few words each visualization :

  • Why did you choose this kind of visualization ?
  • How is this visualization relevant to understand the dataset ?

• Your submission is only your notebook (=> .ipynb)

• You need to submit it before Sunday 19th November 23h59 on Github

Data to Use:

• https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv

Data Description :

• https://github.com/owid/covid-19-data/blob/master/public/data/owid-covid-codebook.csv

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Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

Python 3.11.6^

• install pip

  $ python3 -m pip install pip

Installation

1. Clone the repo

   $ git clone git@github.com:dilancroos/data_visualisation.git

2. Change to the working directory

   $ cd data_visualisation

• Check Usage to create a virtual environment

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Usage

• Create a virtual environment .venv

   $ python -m venv .venv

• Enter the virtual environment .venv

   $ source .venv/bin/activate

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Contact

Dilan Croos - antondilan.crooswarnakulasuriya@cri-paris.org.com

Project Link: https://github.com/dilancroos/data_visualisation

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Acknowledgments

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