import pandas as pd import numpy as np

# SECtION A data nparr = np.arange(145, 217).reshape(12, 6)

# data location data_url = 'https://raw.githubusercontent.com/plotly/datasets/master/2011_february_us_airport_traffic.csv' a_df = pd.read_csv(data_url, header=0) a_df.head()

1. Determine the shape, number of dimensions and type of elements in the numpy array nparr
2. Determine the standard deviation of all elements in nparr
3. Determine the position (not the value) of the maximum value element in nparr
4. Create an array of the same shape as nparr but filled with zeros
5. Create an array of the same shape as nparr but filled with ones
6. Create an array of the same shape as nparr but where all elements are the square root values
7. Create an array result of shape 12 by 12 resulting from multiplication of nparr with transpose(nparr). Hint: use np.dot