8:09 PM Fri Sep 16Canvas Studentinstructure incINSTALLEDcanvas.colorado.eduPage <2> of 21. the number of lines (from the signature we know this is just n)2. the number of blank lines (i.e. lines that contain nothing or only whitespace)3. the number of lines that are comments (i.e. lines that starts with "#")4. the total number of characters in the text filePLO 89%5. the median line length (ie. the median number of characters per line)6. the max line length (i.e. the max number of characters in a line)OPENcompute_text_file_numeric_summary(textFile: character (n)) -> numeric (6): takes a text fileas its input and outputs a numeric of length 6 with the following characteristics of the text file:ZOOM +compute_text_file_vord_counts (textFile: character (n)) ->data.frane (kx2): takes a textfile as its input and outputs a dataframe with k rows and 2 columns where k is the number ofdistinct "words". Here "words" include English word, variable names, function names, or any stringthat starts with a letter and contains only alpha-numerics, periods, and underscores. The first columnwill consist of the different words and the second columns will be the frequency with which the wordappears in the text file. The names of the columns should be Word and Count and it should be sortedby frequency in descending order. 8:09 PM Fri Sep 16Canvas StudentInstructure incINSTALLEDcanvas.colorado.eduPage <1> of 289%OPENZOOM +Analyzing an .R FileYour task is to produce functions that can be used to summarize the actual code within an R script. We willwork up to the following line of code:compute_text_file_summary(read_text_file(textFilePath))We have broken this "monolith" task down into a few "brick" tasks below. However, you may considerbreaking these down even further.For the read_text_file() function you will need to use the base: :readLines () function, readLines ()takes in a string that is the file path (either a relative or global) to a text file (or R script) and returns acharacter vector where each element corresponds to its respective line of text (or code).Below is a list of functions for you to construct. For each, we have prescribed a very specific function signature.When we grade the assignment, we will check to ensure your functions have this signature. Be sure toincorporate type checks for inputs of your function as well. For instance, if a function's signature denotes avariable to be numeric and a character is passed instead, your function should throw an error with a helpfulmessage. See the lecture notes from 2022-09-02 for more on type checking and the function signature syntaxused below..Per usual, to grade your script, we will source() it and check its performance against a variety of unitstests. The official unit tests won't be revealed until after the assignment is graded. However, we haveprovided a smaller set of unit tests in the script, grade_hul practice. R, to give you an idea of what wewill be looking for. To use this script, you will need to download the folder. HviTextFiles practice,containing the example test files. Then, at the top of the script, assign testFilesFolderPath to whereverthe HviTextFiles practice folder is located and huScriptPath to wherever your hw1.R script is located.Running the rest of the script and reviewing the print out will tell you how your script performed against thepractice unit tests.Your TaskCreate an R script entilted hw1.R that contains the following functions:read_text_file(textFilePath: character (1), withBlanks: logical (1) TRUE, withComments:TRUE) -> character (n): as its inputs, it takes in an argument textFilePath that islogical(1)a single character and two optional parameters withBlanks and withComments that are both singlelogicals; textFilePath is the path to the text file (or R script); if withBlanks and withCommentsare set to FALSE, then read_text_file() will return the text file without blank lines (i.e. lines thatcontain nothing or only whitespace) and commented (i.e. lines that starts with "#") lines respectively:it outputs a character vector of length n where each element corresponds to its respective line oftext/code.• compute_text_file_summary(textFile: character (n)) -> 11st (2): takes in a text file (acharacter vector where each element is a line of text/code) as an input and returns a namedlist of length 2 as the output; the output lcist will contain the outputs of the below definedcompute_text_file_numeric_summary() and compute_text_file_word_counts() functions withnames NumericSummary and WordCounts respectively.

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compute text file_numeric_summary(textFile: character (n)) -> numeric (6): takes a text file as its input and outputs a numeric of length 6 with the following characteristics of the text file: 1. the number of lines (from the signature we know this is just n) 2. the number of blank lines (i.e. lines that contain nothing or only whitespace) 3. the number of lines that are comments (L.e. lines that starts with "#") 4. the total number of characters in the text file 5. the median line length (i.e. the median number of characters per line) 6. the max line length (i.e. the max number of characters in a line) compute text file_vord_counts (textFile: character (n)) ->data.frane (kx2): takes a text file as its input and outputs a dataframe with k rows and 2 columns where k is the number of distinct "words". Here "words" include English word, variable names, function names, or any string that starts with a letter and contains only alpha-mumerics, periods, and underscores. The first column will consist of the different words and the second columns will be the frequency with which the word appears in the text file. The names of the columns should be Word and Count and it should be sorted by frequency in descending order.

compute text file_numeric_summary(textFile: character (n)) -> numeric (6): takes a text file as its input and outputs a numeric of length 6 with the following characteristics of the text file: 1. the number of lines (from the signature we know this is just n) 2. the number of blank lines (i.e. lines that contain nothing or only whitespace) 3. the number of lines that are comments (L.e. lines that starts with "#") 4. the total number of characters in the text file 5. the median line length (i.e. the median number of characters per line) 6. the max line length (i.e. the max number of characters in a line) compute text file_vord_counts (textFile: character (n)) ->data.frane (kx2): takes a text file as its input and outputs a dataframe with k rows and 2 columns where k is the number of distinct "words". Here "words" include English word, variable names, function names, or any string that starts with a letter and contains only alpha-mumerics, periods, and underscores. The first column will consist of the different words and the second columns will be the frequency with which the word appears in the text file. The names of the columns should be Word and Count and it should be sorted by frequency in descending order.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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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…
Program that reads a string from the user and append it into a file.
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DescriptionWrite a program to compute average grades for a course. The course records are in a single file and are organized according to the following format: each line contains a student's first name, then one space, then the student's last name, then one space, then some number of quiz scores that, if they exist, are separated by one space. Each student will have zero to ten scores, and each score is an integer not greater than 100. Your program will read data from this file and write its output to a second file. The date in the output file will be nearly the same as the data in the input file except that you will print the names as last-name, first-name; each quiz score, and there will be one additional number at the end of each line:the average of the student's ten quiz scores.Both files are parameters. You can access the name of the input file with argv[1]. and the name of the output file with argv[2].The output file must be formatted as described below: 1. First and last names…
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