Integer num_raw is read from input, representing the number of integers to be read next. Read the remaining integers from input and insert each integer at the front of raw_list at position 0.

R-Studio 1.) You have an airport routes.csv file that contains 3409 airports, each row has a 3-letter code and the number of routes.  Example:  Airport NumberOfRoutes AAE 9 AAL 20 AAN 2 AAQ 3 AAR 8 AAT 2 AAX 1 AAY 1 ABA 4 ABB 2 ABD 6 ABE 13 ABI 2 ABJ 49 ABL 4 ABM 1 ABQ 42 ABR 1 ABS 1 ABT 3 ABV 30 ABX 4 ABY 4 ABZ 41 ACA 8 ACC 54 ACE 116 ACH 2 ACI 2 ACK 6 ACR 2 ACT 2 ACU 1 ACV 3 ACX 6 ACY 10 ACZ 1 ADA 17 ADB 66 ADD 105 ADE 23 ADF 2 ADK 1 ADL 51 ADQ 11 ADU 3 ADZ 11 AEB 3 AEP 65 For this dataset, consider the following models:(a) Suppose the given data points follow a power law distribution. Estimate the corresponding α parameter. (b) Suppose the given data points follow an exponential distribution. Estimate the corresponding λ parameter. (c) Suppose the given data points follow a uniform distribution. Estimate the corresponding range parameters [a, b] of the uniform distribution.(d)…

import json, datetime, csvfrom pprint import pprint   Question 3    - Using the cleaned list of lists from question 1, create a dictionary of dictionaries      where each key in the outer dictionary is an author whose last name starts with the letter 'S'.    - Each inner dictionary should contain the number of books that author has written as 'Number of Books'    - It should contain the earliest book title for that author based on year with the key 'First Book'    - Finally it should contain the latest book title for that author based on year with the key 'Last Book'    - If an author has only one book put the same title in both places    - Return the dictionary of dictionaries def author_history(cleaned_list):     Args:        cleaned_list (list)    Returns:        dictionary of dictionaries     Output:        {'SafranFoer,Jonathan': {'First Book': 'ExtremelyLoudandIncrediblyClose',                                  'Last Book': 'ExtremelyLoudandIncrediblyClose',…

Please give correct code. Thanks