text_html_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

df = pd.read_csv('/kaggle/input/starbucks-nutrition/starbucks.csv', index_col=0)

df.describe

df.isnull().sum()

highest_calorie_item = df.loc[df['calories'].idxmax(), 'item']
highest_calorie_value = df['calories'].max()
lowest_calorie_item = df.loc[df['calories'].idxmin(), 'item']
lowest_calorie_value = df['calories'].min()
print(f'Highest Calorie Food Item: {highest_calorie_item} ({highest_calorie_value} calories)')
print(f'Lowest Calorie Food Item: {lowest_calorie_item} ({lowest_calorie_value} calories)')