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Overview

This nootebook is an exercise to analyse the Olympic dataset which is openly avaailable on Kaggle. We have following objectives with this activity -

  • Get some interesting insights on the data we have available, like say person who won most number of golds in olympic history, number of countries participated each year and what not.
  • Learning purpose - Use pandas, matplotlib and seaborn libraries to analyse the data and provide us an interesting use case to apply these skills

#Major Steps
We will perform following major steps -

  • Setup your wokring environment - Download libraries like pandas, numpy, matplotlib, seaborn
  • Download the data from Kaggle using opendatasets library which is developed by jovian
  • Perform basic analysis and draw seaborn plots
  • Summarize your statistics
  • Optional - Expose your insights on a webpage

Use the "Run" button to execute the code.

Step 1 - Setup our working environment

Please note that this notebook is saved in jovian's environment and hence have some setup involved for jovian. If you are not running and saving it in jovian environment, you might not need a few of the steps involving jovian

!pip install jovian pandas numpy matplotlib opendatasets seaborn  --quiet
#Only needed if you are using jovian environment
import jovian 
# Execute this to save new versions of the notebook
jovian.commit(project="data-analysis-120-years-of-olympic")
[jovian] Detected Colab notebook... [jovian] Uploading colab notebook to Jovian... Committed successfully! https://jovian.ai/aaryaashay1848/data-analysis-120-years-of-olympic