[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-572747-105":3,"detail-sidebar-cat-1-en-105":81,"doc-detail-572747-en":127},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","data-visualization-in-r-through-ggplot2-cheat-sheet-page-1-2","Data Visualization in R through ggplot2 Cheat Sheet - page 1-2","","Cheat sheet for creating data visualizations in R using the ggplot2 package. Covers prerequisites and the grammar of graphics workflow: mapping dataset variables to geom aesthetics, building plots with ggplot() or qplot(), and adding layers via geom_* and stat_* functions. Includes chart labeling with labs() and annotate(), color handling using RGB values and facet scales, and legend customization with guides and theme. Provides examples for one-, two-, and three-variable graphs including areas, densities, bars, dots, line types, boxplots, raster heatmaps, and shape annotations.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/template/","Template",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/template/presentations/","Presentations",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/template/data-visualization-in-r-through-ggplot2-cheat-sheet-page-1-2/572747/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/data-visualization-in-r-through-ggplot2-cheat-sheet-page-1-2/572747.png","ImageObject",442,249,{"name":42,"@type":43},"Terk","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-21","2026-10-13",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",6,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is the core idea behind ggplot2 for building plots?","Question",{"text":63,"@type":64},"ggplot2 follows the grammar of graphics: combine a dataset, a coordinate system, and geoms that represent visual marks. Variables are mapped to aesthetic properties such as size, color, and x/y locations.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How do you add new layers to an existing ggplot?",{"text":68,"@type":64},"Add layers using a geom_() or stat_() function. Each layer provides a geom or a statistic, aesthetic mappings, and default stat and position adjustments.",{"name":70,"@type":61,"acceptedAnswer":71},"How can colors be specified in ggplot2 using RGB?",{"text":72,"@type":64},"Use R's rgb() function with red, green, and blue arguments (default range 0 to 1) to define colors instead of manually creating a hex string. This can then be used in ggplot layers and scale settings.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},572747,1792048194,{"code":4,"msg":82,"data":83},"success",[84,88,93,98,103,108,113,118,123],{"id":85,"doc_module":22,"doc_module_name":25,"category_name":29,"show_sort_weight":86,"slug":87},11,90,"presentations",{"id":89,"doc_module":22,"doc_module_name":25,"category_name":90,"show_sort_weight":91,"slug":92},12,"Resumes",80,"resumes",{"id":94,"doc_module":22,"doc_module_name":25,"category_name":95,"show_sort_weight":96,"slug":97},14,"Invoices",70,"invoices",{"id":99,"doc_module":22,"doc_module_name":25,"category_name":100,"show_sort_weight":101,"slug":102},15,"Posters",60,"posters",{"id":104,"doc_module":22,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},16,"Social Media",50,"social-media",{"id":109,"doc_module":22,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},17,"Forms",40,"forms",{"id":114,"doc_module":22,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},18,"Letters",30,"letters",{"id":119,"doc_module":22,"doc_module_name":25,"category_name":120,"show_sort_weight":121,"slug":122},21,"Paper Templates",5,"papers-templates",{"id":124,"doc_module":22,"doc_module_name":25,"category_name":125,"show_sort_weight":4,"slug":126},158,"General","general-158",{"code":4,"msg":82,"data":128},{"doc_id":79,"user_id":129,"nickname":42,"user_avatar":130,"doc_module":22,"category_id":85,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":26,"language":136,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":12,"update_tm":140,"read_time":22},1099525198933,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Data Visualization in R through ggplot2 Cheat Sheet  \nby Astha Nihar (AsthaNihar)[via](via cheatography.com/126454/cs/24474/)[ cheatography.com/126454/cs/24474/](via cheatography.com/126454/cs/24474/)  \nPrerequisites  \n\n| \\# install. packages(\"tidyverse\") |\n| --- |\n| library(\"ggplot2\") |\n| The ggplot2 packages are included in a popular collection of packages called “the tidyverse”. |\n|  |\n| Basics |\n| \u003Cbr>ggplot2 is based on the grammar of graphics , the idea that you can build every graph from the same components: a data set , a coordinate system , and geoms—‐ visual marks that represent data points.\u003Cbr>To display data values , map variables in the data set to aesthetic properties of the geom like size , color, and x and y locations. |\n|  |\n| Create a graph using ggplot() or qplot() |\n| \u003Cbr>qplot(x = cty , y = hwy , color = cyl , data = mpg , geom = \"point\") Creates a complete plot with given data , geom , and mappings. Supplies many useful defaults.\u003Cbr>ggplot(data = mpg , aes(x = cty , y = hwy)) Begins a plot that you finish by adding layers to. Add one geom function per layer.\u003Cbr>\u003Cbr>Add a new layer to a plot with a geom_ () or stat_ () function. Each provides a geom , a set of aesthetic mappings , and a default stat and position adjustment. |\n|  |\n\nBy Astha Nihar (AsthaNihar) [cheatography.com/asthanihar/](cheatography.com/asthanihar/)  \nLabels  \n\n| t + labs( x = \"New x axis label\" , y = \"New y axis label\" , title =\"Add a title above the plot\" , subtitle = \"Add a subtitle below title\" , caption = \"Add a caption below plot\" , \u003Caes> = \"New \u003Caes> legend title\") t + annotate(geom = \"‐ text\" , x = 8 , y = 9 , label = \"A\") |\n| --- |\n|  |\n| Red Greeb Blue (RGB) Color Space |\n| RGB is the built-in colour space. Instead of\"manually\" creating a \\#RRGGBB colour string , a colour can be specified using R's rgb() function that takes three arguments: red , green , and blue (which , by default , all have a range of [0 , 1]) . |\n|  |\n| RGB Color Space |\n| |\n| > ggplot() + + facet_wrap(~ b) + + scale_x_c‐ ontinuous(name=\"red\" , breaks=seq(0 .05 , 1.05 , 0.2) , labels=seq(0 , 1 , 0.2)) + + scale_‐ y_continuous(name=\"green\" , breaks=seq‐(0 .05 , 1.05 , 0.2) , labels=seq(0 , 1 , 0.2)) + + scale_fill_identity() + + geom_rect(data=d , mapping=aes(xmin=r, xmax=r+resolution(r) , ymin=g , ymax=g+resolution(g) , fill=rgb(‐\u003Cbr>r,g , b)) , color=\"white\" , size=0. 1) |\n|  |\n\nPublished 27th September, 2020. Last updated 27th September, 2020. Page 1 of 2.  \nLegends:  \n\n| n + | n + guides‐ | n + scale_fill_d‐ |\n| --- | --- | --- |\n| theme(‐ leg‐ | (fill = \"non‐ e\") Set | iscrete(name =\u003Cbr>\"Title\" , labels = |\n| end. po‐ sition = \"‐ | legend type for each | c(\"A\" , \"B\" , \"C\" ,\u003Cbr>\"D\" , \"E\")) Set |\n| bottom\") | aesthetic: | legend title and |\n| Place | colorbar, | labels with a |\n| legend at | legend , or | scale function. |\n| \"bottom\" ,\"top\" , \"‐ lef\" , or \"‐ right\" | none (no\u003Cbr>legend) |  |\n| One Variable graphs |  |  |\n| |  |  |\n| \u003Cbr>ggplot(df, aes(x=weight , fill=sex)) + + geom_area(stat =\"bin\")\u003Cbr>geom_density |  |  |\n| |  |  |\n| \u003Cbr>ggplot(diamonds , aes(depth , fill = cut , colour = cut)) + + geom_density(alpha = 0. 1) xlim(55 , 70) |  |  |\n\nSponsored by ApolloPad.com Everyone has a novel in them. Finish Yours!  \n[https://apollopad.com](https://apollopad.com)  \nData Visualization in R through ggplot2 Cheat Sheet  \nby Astha Nihar (AsthaNihar)[via](via cheatography.com/126454/cs/24474/)[ cheatography.com/126454/cs/24474/](via cheatography.com/126454/cs/24474/)  \ngeom_bar  \n\n| |\n| --- |\n| > g \u003C-ggplot(mpg , aes(class)) > g + geom_bar(aes(fill = drv)) |\n|  |\n| geom_dotplot |\n| |\n| ggplot(mtcars , aes(x = mpg , fill = factor(c‐ yl))) + geom_dotplot(stackgroups = TRUE , binwidth = 1 , method = \"histodot\") |\n| Color Blind Friendly brewer palettes: |\n| |\n| library(RColorBrewer)\u003Cbr>display. brewer.all(colorblindFriendly = TRUE) |\n|  |\n\nBy Astha Nihar (AsthaNihar) [cheatography.com/asthanihar/](cheatography.com/asthanihar/)  \nLine Types:  \n\n| |\n| --- |\n| gg","cbCaiuY1KDLLoMEh","https://ap.wps.com/l/cbCaiuY1KDLLoMEh","pdf",425178,"English","# Prerequisites\n# Basics\n# Create a graph using ggplot() or qplot()\n# Labels\n# Red Green Blue (RGB) Color Space\n# Legends\n# One Variable graphs\n# Two Variable graphs\n# Three Variable graphs\n# Shapes","[{\"question\":\"What is the core idea behind ggplot2 for building plots?\",\"answer\":\"ggplot2 follows the grammar of graphics: combine a dataset, a coordinate system, and geoms that represent visual marks. Variables are mapped to aesthetic properties such as size, color, and x/y locations.\"},{\"question\":\"How do you add new layers to an existing ggplot?\",\"answer\":\"Add layers using a geom_() or stat_() function. Each layer provides a geom or a statistic, aesthetic mappings, and default stat and position adjustments.\"},{\"question\":\"How can colors be specified in ggplot2 using RGB?\",\"answer\":\"Use R's rgb() function with red, green, and blue arguments (default range 0 to 1) to define colors instead of manually creating a hex string. This can then be used in ggplot layers and scale settings.\"}]","Data Visualization in R through ggplot2 Cheat Sheet - page 1-2 | PDF",1791929119]