{"id":11482,"date":"2022-06-15T11:52:29","date_gmt":"2022-06-15T11:52:29","guid":{"rendered":"https:\/\/highclasswriters.com\/blog\/?p=11482"},"modified":"2022-06-15T11:52:31","modified_gmt":"2022-06-15T11:52:31","slug":"business-analytics-r-studio","status":"publish","type":"post","link":"https:\/\/highclasswriters.com\/blog\/business-analytics-r-studio\/","title":{"rendered":"Business Analytics- R-Studio"},"content":{"rendered":"\n<p>I have attached the file . We must use R-Studio and show work for problem.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td>10. The data include variables for the customer\u2019s age, annual income, and the distance from the customer\u2019s home to the nearest store.&nbsp;<\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td>a. Create a parallel-coordinates plot. Hint Use R.<\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td>b. According to the parallel-coordinates plot, how are online customers differentiated from in-store customers<\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td>Team Alef<\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td>&nbsp;<\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><tr><td><\/td><td><\/td><td>In (000)<\/td><td>miles<\/td><td><\/td><td><\/td><td><\/td><td><\/td><td>In (000)<\/td><td>miles<\/td><td><\/td><td><\/td><\/tr><tr><td>Customer<\/td><td>Age<\/td><td>Income<\/td><td>Distance<\/td><td>Type<\/td><td><\/td><td>Customer<\/td><td>Age<\/td><td>Income<\/td><td>Distance<\/td><td>Type<\/td><td><\/td><\/tr><tr><td>1<\/td><td>26<\/td><td>91<\/td><td>50<\/td><td>In-store<\/td><td><\/td><td>1<\/td><td>52<\/td><td>41<\/td><td>168<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>2<\/td><td>51<\/td><td>85<\/td><td>24<\/td><td>In-store<\/td><td><\/td><td>2<\/td><td>59<\/td><td>34<\/td><td>9<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>3<\/td><td>53<\/td><td>19<\/td><td>44<\/td><td>In-store<\/td><td><\/td><td>3<\/td><td>38<\/td><td>84<\/td><td>12<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>4<\/td><td>50<\/td><td>71<\/td><td>119<\/td><td>Online<\/td><td><\/td><td>4<\/td><td>55<\/td><td>108<\/td><td>148<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>5<\/td><td>53<\/td><td>44<\/td><td>99<\/td><td>Online<\/td><td><\/td><td>5<\/td><td>44<\/td><td>113<\/td><td>116<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>6<\/td><td>56<\/td><td>87<\/td><td>194<\/td><td>Online<\/td><td><\/td><td>6<\/td><td>41<\/td><td>110<\/td><td>30<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>7<\/td><td>57<\/td><td>136<\/td><td>58<\/td><td>Online<\/td><td><\/td><td>7<\/td><td>22<\/td><td>77<\/td><td>218<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>8<\/td><td>55<\/td><td>122<\/td><td>112<\/td><td>Online<\/td><td><\/td><td>8<\/td><td>18<\/td><td>70<\/td><td>228<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>9<\/td><td>52<\/td><td>128<\/td><td>48<\/td><td>Online<\/td><td><\/td><td>9<\/td><td>38<\/td><td>97<\/td><td>73<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>10<\/td><td>47<\/td><td>103<\/td><td>17<\/td><td>In-store<\/td><td><\/td><td>10<\/td><td>18<\/td><td>37<\/td><td>25<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>11<\/td><td>35<\/td><td>107<\/td><td>58<\/td><td>Online<\/td><td><\/td><td>11<\/td><td>43<\/td><td>85<\/td><td>42<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>12<\/td><td>56<\/td><td>138<\/td><td>22<\/td><td>Online<\/td><td><\/td><td>12<\/td><td>44<\/td><td>52<\/td><td>208<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>13<\/td><td>24<\/td><td>59<\/td><td>82<\/td><td>In-store<\/td><td><\/td><td>13<\/td><td>52<\/td><td>45<\/td><td>52<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>14<\/td><td>34<\/td><td>136<\/td><td>120<\/td><td>Online<\/td><td><\/td><td>14<\/td><td>50<\/td><td>58<\/td><td>36<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>15<\/td><td>40<\/td><td>48<\/td><td>53<\/td><td>In-store<\/td><td><\/td><td>15<\/td><td>48<\/td><td>46<\/td><td>116<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>16<\/td><td>35<\/td><td>125<\/td><td>57<\/td><td>Online<\/td><td><\/td><td>16<\/td><td>49<\/td><td>137<\/td><td>114<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>17<\/td><td>42<\/td><td>69<\/td><td>48<\/td><td>In-store<\/td><td><\/td><td>17<\/td><td>42<\/td><td>137<\/td><td>94<\/td><td>Online<\/td><td><\/td><\/tr><tr><td>18<\/td><td>25<\/td><td>46<\/td><td>110<\/td><td>Online<\/td><td><\/td><td>18<\/td><td>38<\/td><td>69<\/td><td>45<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>19<\/td><td>29<\/td><td>131<\/td><td>57<\/td><td>Online<\/td><td><\/td><td>19<\/td><td>36<\/td><td>32<\/td><td>14<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td>20<\/td><td>47<\/td><td>137<\/td><td>236<\/td><td>Online<\/td><td><\/td><td>20<\/td><td>25<\/td><td>60<\/td><td>17<\/td><td>In-store<\/td><td><\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>I have attached the file . We must use R-Studio and show work for problem.&nbsp; 10. The data include variables [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11482","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Business Analytics- R-Studio - Highclasswriters<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/highclasswriters.com\/blog\/business-analytics-r-studio\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Business Analytics- R-Studio - Highclasswriters\" \/>\n<meta property=\"og:description\" content=\"I have attached the file . 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