{"id":25975,"date":"2022-01-19T07:57:33","date_gmt":"2022-01-19T07:57:33","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/data-science-big-data-analytics-using-r-rstudio\/"},"modified":"2022-01-19T07:57:33","modified_gmt":"2022-01-19T07:57:33","slug":"data-science-big-data-analytics-using-r-rstudio","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/data-science-big-data-analytics-using-r-rstudio\/","title":{"rendered":"Data science &#038; big data analytics- using r\/rstudio"},"content":{"rendered":"<div>\n<p>Background: This course is all about data science and big data analytics that involves data visualization. This<\/p>\n<p>assignment requires the need for an understanding of the dataset that we are using to create the visualizations.<\/p>\n<p>Additional Resources:<\/p>\n<p>Use the following videos to learn the basic and simple commands to conduct basic data analysis with<\/p>\n<p>R\/RStudio:<\/p>\n<p>\u27a2 Introduction to Data Science with R &#8211; Data Analysis Part 1 &#8211;<\/p>\n<p><div class='avia-iframe-wrap'><iframe loading=\"lazy\" title=\"Introduction to Data Science with R - Data Analysis Part 1\" width=\"1333\" height=\"1000\" src=\"https:\/\/www.youtube.com\/embed\/32o0DnuRjfg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div>\n<\/p>\n<p>\u27a2 Introduction to Data Science with R &#8211; Data Analysis Part 2 &#8211;<\/p>\n<p><div class='avia-iframe-wrap'><iframe loading=\"lazy\" title=\"Introduction to Data Science with R - Data Analysis Part 2\" width=\"1333\" height=\"1000\" src=\"https:\/\/www.youtube.com\/embed\/u6sahb7Hmog?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div>\n<\/p>\n<p>\u27a2 Introduction to Data Science with R &#8211; Data Analysis Part 3 &#8211;<\/p>\n<p><div class='avia-iframe-wrap'><iframe loading=\"lazy\" title=\"Introduction to Data Science with R - Data Analysis Part 3\" width=\"1333\" height=\"1000\" src=\"https:\/\/www.youtube.com\/embed\/aMV_6LmCs4Q?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div>\n<\/p>\n<p>Assignment Requirements:<\/p>\n<p>1. Use R\/RStudio to generate a word document with basic data analysis of the attached dataset:<\/p>\n<p>dataset_price_personal_computers.csv<\/p>\n<p>2. Create a summary of stats for the dataset. (provide a screenshot)<\/p>\n<p>3. Create a correlation of stats for the dataset. (provide a screenshot) (Hint: Transform may be needed)<\/p>\n<p>4. What is the Min, Max, Median, and Mean of the Price? (provide a screenshot)<\/p>\n<p>5. What are the correlation values between Price, Ram, and Ads? (provide a screenshot)<\/p>\n<p>6. Create a subset of the dataset with only Price, CD, and Premium. (provide a screenshot)<\/p>\n<p>7. Create a subset of the dataset with only Price, HD, and Ram where Price is greater than or equal to<\/p>\n<p>$1750. (provide a screenshot)<\/p>\n<p>8. What percentage of Premium computers were sold? (provide a screenshot) (Hint: Categorical<\/p>\n<p>analysis)<\/p>\n<p>9. How many Premium computers with CDs were sold? (provide a screenshot) (Hint: Contingency table<\/p>\n<p>analysis)<\/p>\n<p>10. How many Premium computers with CDs priced over $2000 were sold? (provide a screenshot) (Hint:<\/p>\n<p>Conditional table analysis)<\/p>\n<p>Deliverable:<\/p>\n<p>\u2022 About 6-8 pages. Maximum allowed submission is two.<\/p>\n<p>\u2022 Follow standard APA guidelines, including an abstract, conclusion, and a reference page with a<\/p>\n<p>minimum of three references.<\/p>\n<p>\u2022 Include a cover page that should contain the following: Title, Student\u2019s name, University\u2019s name,<\/p>\n<p>Course name, Course number, Professor\u2019s name, and Date.<\/p>\n<p>\u2022 Clickable auto-generated Table of Content is required<\/p>\n<p>\u2022 Figures and Tables used should be labeled according to APA guidelines<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Background: This course is all about data science and big data analytics that involves data visualization. This assignment requires the need for an understanding of the dataset that we are using to create the visualizations. Additional Resources: Use the following videos to learn the basic and simple commands to conduct basic data analysis with R\/RStudio: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-25975","post","type-post","status-publish","format-standard","hentry","category-education"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/25975","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/comments?post=25975"}],"version-history":[{"count":0,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/25975\/revisions"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=25975"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=25975"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=25975"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}