1. Download Auto MPG Dataset from https://archive.ics.uci.edu/ml/datasets/Auto+MPG (use autompg.data). Read the file and populate a dataframe. Hint: read_csv() function can read text files with other delimiters as well. Here use '\s+' as delimiter, which indicates one or more whitespace.

2. Data file does not contain the header. Name them from the description given. Hint: You may use these names - ['mpg', 'cylinders', 'displacement', 'horsepower', 'weight', 'acceleration', 'model_year', 'origin', 'car_name']

3. Print the first few rows to check if the data has been read properly.

4. Check if the data contains 9 columns and 398 rows.

5. Print the descriptive statistics of the numerical columns.

6. How many vehicles have mpg >= 35 mpg? Print those rows.

7. Check if the data has any missing values?

8. Draw a histogram of the mpg of vehicles in intervals of 5.

9. Can you change the color of the histogram? Can you add a border to each of the bars to see them better?

10. Draw a scatterplot of two data columns, "weight" in x-axis and "mpg" in y-axis.