Opening and reading flat files from the web

You have just imported a file from the web, saved it locally and loaded it into a DataFrame. If you just wanted to load a file from the web into a DataFrame without first saving it locally, you can do that easily using pandas. In particular, you can use the function pd.read_csv() with the URL as the first argument and the separator sep as the second argument.

The URL of the file, once again, is

'https://s3.amazonaws.com/assets.datacamp.com/production/course_1606/datasets/winequality-red.csv'

Assign the URL of the file to the variable url.
Read file into a DataFrame df using pd.read_csv(), recalling that the separator in the file is ';'.
Print the head of the DataFrame df.
Execute the rest of the code to plot histogram of the first feature in the DataFrame df.

Exercise

Opening and reading flat files from the web

Instructions