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For this project, create 2 documents. Mark this week's entry under a subheading "Week 1" within each document. "R Script.R" - contains the R scripts associated with this work "R Outputs.docx" -...

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  1. For this project, create 2 documents. Mark this week's entry under a subheading "Week 1" within each document.
    1. "R Script.R" - contains the R scripts associated with this work
    2. "R Outputs.docx" - contains the outputs or the results
  2. Import the file into R using read.csv( ) function
  3. Prepare data.frame for analysis. Arrange variables (rename, drop, or keep variables), clean data (gsub or conditional assignments with ifelse() ), and apply appropriate data structure (i.e. integer, numerical, character, factors, etc.)
  4. Prepare and export at least several frequency tables, cross-tabulations, and several histograms (preferably clean and with color, with appropriate titles and axis labels, etc.). You may want to look into table( ), ftable( ), gmodles::CrossTable, hist( ), ggplot2, and plotly, among others. Question: How do you show and compare the results across multiple classes?

Submit a report that examines parts 3 and 4 and your R script.

baseline-survey-uzx4dtw1.csv week-1-script-for-baseline-survey-3fldwqt1-xlfawf35.r
Answered Same Day May 28, 2021

Solution

Mohd answered on May 29 2021
146 Votes
---
title: "Untitled"
author: '-'
date: "5/29/2021"
output: word_document
---
For this project, create 2 documents. Mark this week's entry under a subheading "Week 1" within each document.
"R Script.R" - contains the R scripts associated with this work
"R Outputs.docx" - contains the outputs or the results
Import the file into R using read.csv( ) function
Prepare data.frame for analysis. A
ange variables (rename, drop, or keep variables), clean data (gsub or conditional assignments with ifelse() ), and apply appropriate data structure (i.e. integer, numerical, character, factors, etc.)

Prepare and export at least several frequency tables, cross-tabulations, and several histograms (preferably clean and with color, with appropriate titles and axis labels, etc.). You may want to look into table( ), ftable( ), gmodles::CrossTable, hist( ), ggplot2, and plotly, among others. Question: How do you show and compare the results across multiple classes?
Submit a report that examines parts 3 and...
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