Input File The input file is a dataset containing addresses, neighborhoods and rent prices from 2020 and 2021. This data is not real data. The file will be formatted as a CSV file with a header, as shown below. Address, Neighborhood, 2020 Rent, 2021 Rent 49 Pacific Dr., Boardwalk, $1100, $1200 1145 Connecticut Ave., Westside, $1050, $1100 143 Holmes Dr., Westside, $1000, $1200 2184 Broadway, Eastside, $940, $870
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- Fix the following m file: Submit fixed m file and histogram jpg created % Compute the average of some temperature data % Then plot the data in a MATLAB plot window % clc;clear n = 50; % number measurements temps = floor(50*rand(1,n))+50; time = 0:1:50; average = sum(temp)/length(temps); plot(time,temps) title('Temperature Measurements','fontsize',18,) xlabel('Time in minutes') ylabel('Temperature in degrees F') disp(averag)The file london_weather.csv contains weather data for the years 1979 to 2020. The first five lines of this file are: date,cloud_cover,sunshine,global_radiation,max_temp,mean_temp,min_temp,precipitation,pressure,snow_depth19790101,2,7,52,2.3,-4.1,-7.5,0.4,101900,919790102,6,1.7,27,1.6,-2.6,-7.5,0,102530,819790103,5,0,13,1.3,-2.8,-7.2,0,102050,419790104,8,0,13,-0.3,-2.6,-6.5,0,100840,2 Note, in particular, that the dates are given as eight-digit integers in the format YYYYMMDD. There appears to be some inconsistencies in this data, as there are rows for which the column max_temp contains an entry that is smaller than the corresponding entry in min_temp. Write a Python function wrong_temperature(year) that returns the number of days in a given year for which the column max_temp contains an entry that is smaller than the corresponding entry in the column min_temp.In Python: The Broadway dataset contains data for Broadway shows' Capacity (percentage of the theatre filled) and Gross Potential (maximum amount that can be earned) for multiple shows in a specific month and year. Given a CSV file name read from user input, write a program that performs the following tasks: Read in the CSV file as a dataframe. Insert a new column labelled "Size" at the end of the dataframe. The "Size" column contains values in column "Gross Potential" divided by 2. Output the dataframe using the print() function. Create a scatter plot of "Gross Potential" vs "Capacity" with the following marker styling parameters: markers: 'x' color: orange size: values in column "Size" Add the x-label ("Capacity", fontsize = 10), y-label ("Gross Potential", fontsize = 10), and title ("Gross Potential vs Capacity", fontsize = 16) to the figure. Add gridlines to the figure using '--' as linestyle. Save the figure as output_fig.png. Click here to view Input and Output Example
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- In the attached city list.txt file, the names of the provinces in Turkey are given in a single line according to the format given in Figure 1. In the application you will write, write the city names read from this file into the license plate list.txt file in the format shown in Figure 2. In more descriptive terms, citylist.txt is a file given to you. license plate list.txt is the file you will get with your code. city list: Adana, Adıyaman, Afyon, Ağrı, Amasya, Ankara, Antalya, Artvin, Aydın, Balıkesir, Bilecik, Bingöl, Bitlis, Bolu, Burdur, Bursa, Çanakkale, Çankırı, Çorum, Denizli, Diyarbakır, Edirne, Elazığ, Erzincan, Erzurum, Eskişehir, Gaziantep, Giresun, Gümüşhane, Hakkari, Hatay, Isparta, İçel (Mersin), İstanbul, İzmir, Kars, Kastamonu, Kayseri, Kırklareli, Kırşehir, Kocaeli, Konya, Kütahya, Malatya, Manisa, Kahramanmaraş, Mardin, Muğla, Muş, Nevşehir, Niğde, Ordu, Rize, Sakarya, Samsun, Siirt, Sinop, Sivas, Tekirdağ, Tokat, Trabzon, Tunceli, Şanlıurfa, Uşak, Van, Yozgat,…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)…In the input file (see image), grades are listed for the geography tests of group 2b. There have been three tests of which the grades will be included in the half-yearly report that is given to the students before the Christmas break. On each line of the input you can find the name of the student, followed by one or more under scores (’_’). These are succeeded by the grades for the tests, for example: Anne Adema____________6.5 5.5 4.5Bea de Bruin__________6.7 7.2 7.7Chris Cohen___________6.8 7.8 7.3Dirk Dirksen__________1.0 5.0 7.7 The lowest grade possible is a 1, the highest a 10. If somebody missed a test, the grade on the list is a 1. The assignment is to make the report for the geography course of group 2b, which should look like this: Report for group 2bAnne Adema has an average grade of 5.5Bea de Bruin has an average grade of 7.2Chris Cohen has an average grade of 7.3Dirk Dirksen has an average grade of 4.6End of report Use functions to structure the code in Python.
- Computer Science csv file "/dsa/data/all_datasets/texas.csv" Task 6: Write a function "county_locator" that allows a user to enter in a name of a spatial data frame and a county name and have a map generated that shows the location of that county with respect to other counties (by using different colors and/or symbols). Hint: function(); $county ==; plot(); add=TRUE.def read_cars(full_path_file_name):"""Read the data from csv file given full path file name (including directory)Return a list of Car instances:param full_path_name: csv file:return: list of instances of the Car class""" file: 2017,Subaru,WRX,268,32722000,Honda,Civic Si,160,26122020,Lamborghini,Aventador S,729,34722017,Subaru,WRX,268,32722000,Honda,Civic Si,160,26122020,Lamborghini,Aventador S,729,34722017,Subaru,WRX,268,32722000,Honda,Civic Si,160,26122020,Lamborghini,Aventador S,729,34722020,Lamborghini,Huracan,729,3472Output MUST look like attached image!!! For this assignment, you will write a program that reads employee work data from a text file, and then calculates payroll information based on this file. The text file will contain one line of text for eachemployee. Each line consists of the following data (delimited by spaces or tabs):1) employee’s id2) employee’s hourly wage rate3) hours worked Monday4) hours worked Tuesday5) hours worked Wednesday6) hours worked Thursday7) hours worked Friday ex) txt file attached Your program should first prompt the user to get the location of the input file. Then it will read the data from the file, put it in appropriate arrays (as described below), and output to the screen the following information: (1) the employee ID, total number of hours worked, regular pay, overtime hours, overtime pay, and total paid to each employee (2) the total hours worked by all employees throughout the week; (3) the total amount paid out to all employees for the week; (4) the…