Pandas Part 2 — Describing data

Lets try out the different things we can do with the data to give us more information about it.

Executing “##” will enter a new paragraph line with text (note: must be in Markup: Esc -> M)

Returns data types: Car_sales.dtypes,

Returns data columns: car_columns.index

Other useful functions:

*car_sales.describe()

*car_sales.info()

Car_sales.mean()

car_prices = pd.Series([3000,1500,111250])

car_prices.mean()

car_sales.sum()

car_sales[“Doors”].sum()

len(car_sales)