In R’s built-in datasets library is the data frame quakes. Make sure you can access this object and view the corresponding help file to get an idea of what this data represents. Then, do the following: 1. Select only those records that correspond to a magnitude (mag) of greater than or equal to 5 and write them to a table-format file called q5.txt in an existing folder on your machine. Use a delimiting character of ! and do not include any row names. 2. Read the file back into your R workspace, naming the object q5.dframe.
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- Consider the data contained in the text file data1.txt. The first row of this file contains the column names. The remaining rows have one number for each column. The numbers are separated by a tab character. You can work in your command window. No need to create a matlab file for this question. Download the data file. Use importdata() function to load data into Matlab. What is the average of the numbers contained in the third column of this data? Data1: col1 col2 col3 col4 col5 906 552 743 348 45 676 229 425 661 558 469 642 430 384 773 913 485 125 628 312 105 152 25 22 179 746 782 291 911 339 737 101 318 801 211 562 295 654 746 511 185 238 957 814 907 598 531 936 384 629 300 92 458 618 102 135 406 241 576 391 213 105 764 531 55 895 113 760 276 502 72 785 741 249 432 243 292 744 452 998 54 604 106 228 812 442 965 682 805 486 14 433 464 987 895 898 695 213 30 138 197 759 99 536 391 94 433 824 88 928 308 656 176 803 918 457 110 164 990 714 102 934 666 67 619 996 188 895 940 344 333 267…In this lab, you will read two files. Firstly, the ‘AccountData.csv’ file has the name and account number.Use each account number to scan the ‘BankData.csv’ file for a matching account number to get a ‘balance’from the account transactions. You must repeatedly open, read the ‘BankData.csv’ file and close it for eachaccount number in the ‘AccountData.csv’ file unless you wish to store its entire contents in a static array.(More code and may not be enough time to complete.) import java.io.*;import java.nio.file.Files;import java.nio.file.Path;import java.nio.file.Paths;import java.util.ArrayList;import java.time.format.DateTimeFormatter; public class BankDataProcessing { static DateTimeFormatter formatter = DateTimeFormatter.ofPattern("MM-dd-yyyy HH:mm"); static ArrayList<BankAccount> Accounts = new ArrayList<>(); public static void main(String[] args) { try { Path path = Paths.get("src/AccountData.csv"); readAccounts(path, true);…Use Python Code Your task is : Use pandas to read the csv table . Example : df = pd.read_csv('Covid19Recovered.csv') . Then use the dataframe to make a visualization of the number of recovered patients using matplotlib, seaborn , etc . Just ignore lat and long. Covid-19 Recovered table (csv): Province/State Country/Region Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020…
- I am a newbie to python. I am working on a CSV file where it has over a million records. In the data, every Location has a unique ID (SiteID). I want to filter for and remove any records where there is no value or mismatch between SiteID and Location in my CSV file. (Note: This script should print the lines number and mismatch field values for each record.)lines = []count = 0 # read linewith open(r"air-quality-data-continuous.csv",'r') as fp: # read an store all lines into list lines = fp.readlines() print(str(len(lines)) + 'lines in input file') with open(r"crop.csv", 'w') as fp: fp.write(lines.pop(0)) #iterate each line for number, line in enumerate(lines): if (line[4] == 'NaN'): print('Empty Site ID found in line:' + str(number)) continue if(str(line[4]) != line[17]): fp.write(line) count +=1 print(str(count + 1) + 'lines written to filter.csv') print(str(count + 1) +…Currently working with python and I have imported an excel file into my code. I have a Header with the Name: Operation Index with 82 rows, with numbers between 50 and 150. I need help in writing a code in python that will count the number of rows where Operation Index is greater than 130.Consider the data contained in the text file data4.xlsx. The first row of this file contains the column names. You can work in your command window. No need to create a matlab file for this question. Download the data file. Use readtable() function to load data into Matlab. What is the average age of females listed in the data ? Round your final answer to four digits after the decimal point.
- The file contains one function, logically equivalent (prop1, prop2, var list), that you will need to complete in order to receive credit for the assignment. The function takes in two strings representing propositions, and a list of all of the propositional variables present (these will be single, capital letters). The function should return the boolean value True if the two propositions are logically equivalent, or False otherwise. You can assume that the proposition strings only contain the following components: Propositional variables: capital letters like P, Q, R, etc. You can assume that T and F will not be used to avoid complications when replacing the variables with True/False. Operators (A, v, -). You can assume that there will be a space between the A and v operators and their operands, but not the - and its single operand. Parentheses ( ) to force order of operations You can write any number of helper functions in addition to the above function. Examples: >>>…File names: color_square.py, chessboard.py, test_squares.py Positions on a chess board are identified by a letter and a number. The letter identifies the column; the number identifies the row. See the image below. You will provide the functions that allow us to determine: if a chessboard square is either black or white, given its coordinates. If the row/column is valid or not for the standard chessboard For example, if we pass in “d” for the column and 4 for the row, your function that determines color should return the string: “BLACK”. If we pass in "k" for the column to your function that validates columns, that function should return the boolean False. Requirements: Your function for validating the column should be able to accept upper or lowercase strings as parameters. Your functions for validating the row should be able to accept integers or strings as parameters. Your function that determines black-or-white may assume that the input has been validated prior to us calling…Write a program that expands on the program below (i.e. reading data of each record in the file and storing it into data structure). The expansion involves writing all records to a file (use fprintf, call the name of the file csv). The displayed data must be accessed (and thus written) from data structure (i.e. array of structs). The format written to the file should be one line per record, with each field separated by a comma (‘,’) program should then output the number of lines in the file.test the program by creating a text file with at least 10 lines of text (of any composition). Use notepad++ to create the data file. #include<stdio.h>#include<stdlib.h> //Structurestruct Person{ char name[10];int age;float wage; }; //Main int main (int argc, char **argv) { FILE* f; if (argc != 2) { printf("No filename in the argument"); return 1; } f = fopen(argv[1], "r"); if (f == NULL) { printf("The file cannot be opened successfully:…
- How do I read in a specific row in a CSV file in Python without using pandas, list, or enumerate functions? For example, how do I ask to read row 10 in the file, and then ask for row 50, row 20 or row X?A temperature file consists of five records, each containing a temperature in degrees Fahrenheit. A program is to be written that will read the input temperature, convert it from degrees Fahrenheit to degrees Celsius and print both temperatures in two columns on a report. Column headings, which read ‘Degrees F’ and ‘Degrees C’, are to be printed at the top of the page. What ist he best solution algorithm to successfully implement the above question?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…