(PYTHON AND JUPYTER NOTEBOOK)

carsData.csv

mpg	engine	horse	weight	acceleration	year	origin	cylinder
18	307	130	3504	12	1994	1	8
27	350	165	3693	11.5	1995	1	4
18	318	150	3436	11	2003	1	8
20	304	150	3433	12	1997	1	6
21	302	140	3449	10.5	1997	1	6
15	429	198	4341	10	2000	1	8
28	454	220	4354	9	1994	1	4
14	440	215	4312	8.5	1995	1	8
25	455	225	4425	10	2000	1	4
15	390	190	3850	8.5	1997	1	8

3.1. Create a new dataframe containing only 'horse' and 'mpg' columns # TODO: Your code goes here 3.2. Replace the index column with 'horse' # TODO: Your code goes here 3.3. Create a line graph of your dataframe # TODO: Your code goes here 3.1. Create a new dataframe containing only 'horse' and 'mpg' columns # TODO: Your code goes here 3.2. Replace the index column with 'horse' # TODO: Your code goes here 3.3. Create a line graph of your dataframe # TODO: Your code goes here