We will now view the information for the first 10 vehicles in the dataset. Create a markdown cell with unformatted text to explain this. Use a code cell to print the first 10 values of each of the lists weight, mpg, and ln_mpg. Format the output as follows: Thelistvalues should be arranged in columns, with each row of output corresponding to one vehicle model. The output should include column headers and a dividing line, as shown below. The number of characters reserved for each column, in order, should be 6, 8, and 10. The columns should be right aligned. The first few rows of your output should look exactly as shown below: Weight MPG LN_MPG ------------------------ 3190 27.2 3.3032

import pandas as pd import matplotlib.pyplot as plt Part 1: Importing and Viewing the Data We will now use the Pandas library to import the dataset. df = pd.read_table(filepath_or_buffer='auto_data.txt', sep='\t') weight = list(df.wt) mpg - list(df.mpg) In_mpg - list(df. In_mpg) We will now view the information for the first 10 vehicles in the dataset. Create a markdown cell with unformatted text to explain this Use a code cell to print the first 10 values of each of the lists weight, mpg, and In_mpg. Format the output as follows: The list values should be arranged in columns with each row of output corresponding to one vehicle model. The output should include column headers and a dividing line, as shown below. The number of characters reserved for each column, in order, should be 6, 8, and 10. The columns should be right aligned. The first few rows of your output should look exactly as shown below: Weight MPG LN_MPG 3190 1985 27.2 32.8 3.3032 3.4904