***PYTHON 3 PLEASE***

. Loading and Importing First thing you need to do is load up your packages and then bring in the data. This dataset contains daily values for Amazon's stock. This includes opening, closing, high price, low price, and also the amount of stock traded. [] import pandas as pd # also import matplotlib.pyplot and numpy with the proper aliases import numpy as np U # Bring in your data. You just need to run this cell. price = pd.read_csv( "https://docs.google.com/spreadsheets/d/1z6br9DCz3v9MmPSBfGm7zy9-B-JQUkk71uh9SMO-NPw/gviz/tq?tqx=out:csv") Exploring the whole dataset Now make some code cells to explore the whole dataset. I want you to do the following: Get the number of rows and columns Get the datatypes of each column Look the first five rows Look at the last five rows Look at summary statistics Questions How many rows are in this dataset? Do any datatypes need to be converted? What was the mean and all time high opening stock price