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Using Jupyter Notebook, pandas and seaborn: .csv file : https://raw.githubusercontent.com/rgriff23/Olympic_history/master/data/athlete_events.csv 1. Generate a plot indicating the number of medals awarded in each of the top

Using Jupyter Notebook, pandas and seaborn:

.csv file : https://raw.githubusercontent.com/rgriff23/Olympic_history/master/data/athlete_events.csv

1. Generate a plot indicating the number of medals awarded in each of the top five sports in 2016. 2. Plot a graph depicting the distribution of the age of medal winners in the top five sports in 2016. 3. Find out which national teams won the largest number of medals in the top five sports in 2016. 4. Observe the trend in the average weight of male and female athletes winning in the top five sports in 2016.

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