The following CSV files are available for download:
https://learn.theprotech.co.uk/datasets/country_data.csvhttps://learn.theprotech.co.uk/datasets/revenue_tidy.csvhttps://learn.theprotech.co.uk/datasets/revenue_wide.csvhttps://learn.theprotech.co.uk/datasets/revenue_world_Q3Q4.csvhttps://learn.theprotech.co.uk/datasets/heatmap_data.csv
import pandas as pd
import seaborn as sns
# Load datasets
country_data = pd.read_csv('https://learn.theprotech.co.uk/datasets/country_data.csv', index_col='country_code')
supercars = pd.read_csv('https://learn.theprotech.co.uk/datasets/supercars.csv')
sales_data = pd.read_csv('https://learn.theprotech.co.uk/datasets/sales_data.csv')
emp_fst_nm = pd.read_csv('https://learn.theprotech.co.uk/datasets/emp_fst_nm.csv')
emp_lst_nm = pd.read_csv('https://learn.theprotech.co.uk/datasets/emp_lst_nm.csv')
bank = pd.read_csv('https://learn.theprotech.co.uk/datasets/bank.csv')
revenue_tidy = pd.read_csv('https://learn.theprotech.co.uk/datasets/revenue_tidy.csv')
revenue_wide = pd.read_csv('https://learn.theprotech.co.uk/datasets/revenue_wide.csv')
revenue_world_Q3Q4 = pd.read_csv('https://learn.theprotech.co.uk/datasets/revenue_world_Q3Q4.csv')
stocks = pd.read_csv('https://learn.theprotech.co.uk/datasets/stocks.csv')
stocks.date = pd.to_datetime(stocks.date)
aapl_stock = stocks.query("stock == 'aapl'")
heatmap_data = pd.read_csv('https://learn.theprotech.co.uk/datasets/heatmap_data.csv', index_col='education')