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- 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)…Create a new file cart.html You must get and set the data on the web page by using document.getElementById( ). Each HTML element on the web page already has an id so it is easy. No need for a loop to go through the list of products, there is only 2 products and the info is hard coded on the web page. You must write the code for function cartTotal().In Python Write a program that reads movie data from a CSV (comma separated values) file and output the data in a formatted table. The program first reads the name of the CSV file from the user. The program then reads the CSV file and outputs the contents according to the following requirements: Each row contains the title, rating, and all showtimes of a unique movie. A space is placed before and after each vertical separator ('|') in each row. Column 1 displays the movie titles and is left justified with a minimum of 44 characters. If the movie title has more than 44 characters, output the first 44 characters only. Column 2 displays the movie ratings and is right justified with a minimum of 5 characters. Column 3 displays all the showtimes of the same movie, separated by a space. Each row of the CSV file contains the showtime, title, and rating of a movie. Assume data of the same movie are grouped in consecutive rows. Ex: If the input of the program is: movies.csv and the contents…
- 1. Write a Python program that allows the user to calculate summary statistics for a maximum of six deliverables of a course. The summary statistics that will be calculated for these deliverables are average, median, highest, lowest, and sample standard deviation. Your program must meet the following requirements: a) Read in the data from a CSV file provided on Canvas. Hint: The file includes row and column headers. Use the example code from class 3/7 to read in a CSV file with headers. b) Minimum requirements are to always ask for 3 assignments – for this, you skip this step. For bonus credit, prompt the user to input the number of assignments to calculate statistics for. In this case you would need to prompt the user for the total number of deliverables for which summary statistics will be calculated. You must verify that the user enters a value that can represent a valid integer number in the range [1, 6]. If the user enters a value that does not represent a number, the user…python coding using pathlib, Separate the following path 'C:\Users\Barney\files\letters.txt' into the drive, the parent, file name, and the suffix (you can assign each to a variable or display on the screen from the .py (not the interactive shell))Suppose a csv file contains three comma-separated values (strings) on each line (see the leftcolumn of the example table below). Assume, each line of values are, respectively, thewidth, height, and depth of a box. Write a program called box.py and add thefollowing functions to this program.• read_file() takes a csv filename as a parameter that contains the widths, heights, anddepths of all boxes. This function must read the content of the file, store these values ina 2-D list as shown in the right column of the example table below, and return this list.All strings must be converted to integers before they are stored in the list. Example:csv data 2-D list[[15, 6, 3],[3, 7, 4],[6, 9, 3],[15, 6, 11],[6, 5, 5],[13, 10, 9],[9, 10, 3],[14, 5, 4],[4, 6, 11],[12, 10, 9]]• Add another function called max_volume() to this program that takes this 2-D list as aninput parameter. Each item in that list contains 3 integers representing the dimensions ofa box (i.e., width, height, depth). This…
- Given the following json file, create a Python program that reads the file and outputs an XML file that groups car data appropriately. { "cars": [ { "make": "Honda", "model": "Accord", "color": "White", "engine": "I4", "transmission": "Automatic", "price": 22756.0 }, { "make": "Chevrolet", "model": "Bolt EV", "color": "Gray", "engine": "Not Specified", "transmission": "Automatic", "price": 39551.0 }, { "make": "Dodge", "model": "Challenger", "color": "Gray", "engine": "V6", "transmission": "Automatic", "price": 32216.0 } ]}e) Search for instances of the string password (all cases) using cat and grep. $ f) Search for the number of instances of the string password (all cases) using cat, grep and wc. $ From your above commands, can you determine if there are case-sensitive instances of the string password in the wordlist-probable.txt file? How do you know?Using Python Spark Read each text files that are provided and convert each words in the file to lower case. (I cannot upload the text files so if you find a folder online with 15 text documents that would work) Create a list with words from each text files. Remove stop words from each list and get the final list of words for each text files. (The list of stop words are provided in stopwords.txt)
- A python function opens file data.csv, reads the data from the file and spits the data into three columns, x, y and z. The data is then printed out. Function: f = open("data.csv ", "r") print('x\ty\tz'.format()) for row in f: temp = row.split(',') for cell in temp: print(cell,end='\t') print() data.csv contains: 1.2,2.1,1.1 2.3,3.2,0.6 0.7,1.9,0.1 1.8,2.5,0.3 4.6,2.7,0.9I have the following code but with the input file studentInfo.txt that has the input: ed18, Edward Duran, 077, 3.5 abc1234MikePeterson, 123, 3.7dw0,Danika Wilson, 083 , 3.9wd50,WillDavidson, 090,3hpj4332, Helen Jordan1983.88xd222XavierDavies1983.65ah1 Allisson Henson 147 2.9ne099 NinaEstrada, 095, 2sh5555 Skylar Huff 112 3.3 def reformat_student_info(filename): try: #Function to split the name into first and last parts def split_name(name): parts = name.split() if len(parts) == 2: return parts else: #If no space assume last name starts after first letter return [parts[0], parts[1:]] #Function to format GPA def format_gpa(gpa): #Ensure exactly one decimal point if '.' not in gpa: gpa = gpa + '.0' return gpa #Open input file with open(filename, 'r') as input_file: lines =…Lab 14: Processing a json file Read in a JSON file such as the following: { "students":[ } { }, { "firstName" "lastName : "Doe", "major" : "CENT", "credits": 12, : "Jane", "exams" : [92.7, 91.4, 95.2] "firstName" : "John" "lastName' : "Doe" "major": "PHYS", "credits" : 10.0, "exams : [91.1, 81.3, 85.6] "firstName" : "Bill", "lastName : "Gates", "major": "ICS", "credits" : 7, exams" : [98.7, 94.4, 96.4] PART 1: Parse the JSON data into a dictionary and output the data as follows: Jane Doe is majoring in CENT John Doe is majoring in PHYS Bill Gates is majoring in ICS