Question: Create Your Own Visualizations Using pandas and Matplotlib in python Using the attached data title 'Olympics_medals_country_wise' (a free dataset from kaggle.com), use a Jupyter notebook
Create Your Own Visualizations Using pandas and Matplotlib in python
Using the attached data title 'Olympics_medals_country_wise' (a free dataset from kaggle.com), use a Jupyter notebook to make at least 6 interesting visualizations.
Dataset available at kaggle
https://www.kaggle.com/datasets/surajjha101/countries-olympics-medals-since-1896?resource=download
The column names are
countries ioc_code summer_participations summer_gold summer_silver summer_bronze summer_total winter_participations winter_gold winter_silver winter_bronze winter_total total_participation total_gold total_silver total_bronze total_total
some data from the above dataset
| countries | ioc_code | summer_participations | summer_gold | summer_silver | summer_bronze | summer_total | winter_participations | winter_gold | winter_silver | winter_bronze | winter_total | total_participation | total_gold | total_silver | total_bronze | total_total |
| Afghanistan | (AFG) | 15 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 2 | 2 |
| Algeria | (ALG) | 14 | 5 | 4 | 8 | 17 | 3 | 0 | 0 | 0 | 0 | 17 | 5 | 4 | 8 | 17 |
| Argentina | (ARG) | 25 | 21 | 26 | 30 | 77 | 20 | 0 | 0 | 0 | 0 | 45 | 21 | 26 | 30 | 77 |
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