Load the data set hmeq_small.csv as a data frame.Create a new data frame with all the rows with missing data deleted.Create a second data frame with all missing data filled in with the mean value of the column.Find the means of the columns for both new data frames.Ex: Using only the first hundred rows, found in hmeq_sample.csv, the output is:Means for hmeqDelete are LOANMORTDUEVALUEYOJCLAGECLNO67495.95833382529.1250008.500000144.74945516.58333333.052122DEBTINCdtype: float 64Means for hmeqReplace are LOANMORTDUE49386.494253VALUE64033.483871YOJCLAGECLNO8.179775140.20932015.58695730.947152DEBTINCdtype: float 643208.3333333045.918367

Answered: Image /qna-images/answer/8c85ea42-c27c-414c-b2fb-763aae45e237.jpg

• Load the data set hmeq_small.csv as a data frame. • Create a new data frame with all the rows with missing data deleted. • Create a second data frame with all missing data filled in with the mean value of the • Find the means of the columns for both new data frames. Ex: Using only the first hundred rows, found in hmeq_sample.csv, the output is: Means for hmeaDelete are LOAN 3208 333333

• Load the data set hmeq_small.csv as a data frame. • Create a new data frame with all the rows with missing data deleted. • Create a second data frame with all missing data filled in with the mean value of the • Find the means of the columns for both new data frames. Ex: Using only the first hundred rows, found in hmeq_sample.csv, the output is: Means for hmeaDelete are LOAN 3208 333333

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 Chapter 2, we have used the data frame titled Fingers which is a sample of college students who filled out an online survey. Write down a code that you can use in R to determine the amount of students.
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For this project, please use the starwars dataset that comes with the package of "tidyverse" or "dplyr". First, take a quick look at the dataset to get a sense of the content. Then create the following visualizations using RStudio's ggplot2 package: Bar chart for the Gender variable Histogram for the Height variable and add a title to the chart "Height and Mass by Sex" Scatter plot for the variables of Height and Mass (heigh as independent variable, and mass as dependent variable)
In this assignment, you should work with books.csv Download books.csvfile. This file contains the detailed information about books scraped via the Goodreads . The dataset is downloaded from Kaggle website. Each row in the file includes ten columns. Detailed description for each column is provided in the following: bookID: A unique Identification number for each book. title: The name under which the book was published. authors: Names of the authors of the book. Multiple authors are delimited with -. average_rating: The average rating of the book received in total. isbn: Another unique number to identify the book, the International Standard Book Number. isbn13: A 13-digit ISBN to identify the book, instead of the standard 11-digit ISBN. language_code: Helps understand what is the primary language of the book. num_pages: Number of pages the book contains. ratings_count: Total number of ratings the book received. text_reviews_count: Total number of written text reviews the book received.…