Ggplot Custom Legend

Before you get started, read the page on the basics of plotting with ggplot and install the package ggplot2. Download it once and read it on your Kindle device, PC, phones or tablets. Themes are a powerful way to customize the non-data components of your plots: i. c(0,0) corresponds to the "bottom left" and c(1,1) corresponds to the "top right" position. I'm trying for the first time ever R Scripting with ggplot. Learn more at tidyverse. Skip to content. class: center, middle, inverse, title-slide # Data Visualization with ggplot2 ### Jennifer Thompson, MPH ### 2018-06-06 --- class: inverse, middle ## `ggplot2`: data. If the level attributes have multiple words, there is an easy fix to this that often makes the axis labels look much cleaner. I'm trying to get a custom legend for a ggplot with data coming from two separate data frames. ggplot2 tech themes, scales, and geoms. Themes can be used to give plots a consistent customized look. edu, Heike Hofmann [email protected] ggplot2: Elegant Graphics for Data Analysis (Use R!) - Kindle edition by Hadley Wickham. Otherwise, the scales are also uniform with respect to legend naming conventions, in the sense that scale_[aesthetic] always (as I am thinking now) takes as a first argument the title of the legend which it will generate (if indeed it does generate one). Hi, I'm trying to make a ggplot() graph with a custom legend, but without success, it is simple, I have somethink like this in traditional. background # or apply it in the ggplot command z2 + theme. We save the first ggplot call to a variable p (p for plot), but any variable will work. Description ColorBrewer provides sequential, diverging and qualitative colour schemes which are particularly suited and tested to display discrete values (levels of a factor) on a map. Grobs with a different (absolute) size will be center-justified in that region. For example, a regression line with negative slope would appear green, and a positively sloped line would appear red. ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. Legend type guide shows key (i. First, load up the three required packages: library (ggplot2). I go through an example of a situation where this might be useful and show how to first get a legend and then how to "prettify" that legend. Since ggduo may take custom functions just like ggpairs, we will make a custom function that displays the residuals with a red line at 0 and all other y variables will receive a simple linear regression plot. Because group, the variable in the legend, is mapped to the color fill, it is necessary to use scale_fill_xxx, where xxx is a method of mapping each factor level of group to different colors. Dude, you are a genius!!! Nobody have explained this, and this is the only one on the internet that works!. However, they can be useful in a pinch, especially plot(). ggplot2 themes and background colors : The 3 elements legend title and text, axis tick mark ggthemes package provides many custom themes and scales for ggplot. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. I am trying to add a legend without using any of the variable from the dataset. Graphing packages There are many additional packages to help you visualize data. keeping the order of the legend, is that custom number formats consist of four. We want to control the stacking order of a stacked bar created with ggplot2. I want to move the legend from its current position vertically centred on the right to being aligned with the top of the graph on the right, as indicated by the red arrow below. Modify components of a theme legend. Compared to base plot, you will find creating custom legends to be simpler and cleaner, and creating nicely formatted themed maps to be simpler as well. Working with R, Cairo graphics, custom fonts, and ggplot. Change a ggplot gradient color (also. ggplot2, by Hadley Wickham, is an excellent and flexible package for elegant data visualization in R. I want to use the challenge to detail a) how to create custom ggplot themes and b) look at unicorn startup data. The legend can be a guide for fill, colour, linetype, shape, or other aesthetics. Likewise, you can add a custom legend accessing the setting of the visualization. One point that remained untouched was how to sort the order of the bars. Add text labels with ggplot2 This document is dedicated to text annotation with ggplot2. Each column can be a. Width of the plot in pixels (optional, defaults to automatic sizing). ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. Or copy & paste this link into an email or IM:. In comparison with ggplot2, ggvis is much younger and some utilities may be yet to come, also data don't need to come from a data frame object. Guides for each scale can be set scale-by-scale with the guide or guide_legend()) specifying additional arguments. Developed by Hadley Wickham , Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani. A heatmap is basically a table that has colors in place of numbers. The legend can be a guide for fill, colour, linetype, shape, or other aesthetics. io Find an R package R language docs Run R in your browser R Notebooks. ‘ggtern’ is a software package for the statistical computing language R. Facets allow you to visualize different subsets of your data in a single plot. Custom legend reflective signs incorporate your custom artwork and legend onto standard reflective traffic blanks. ggplot2: Elegant Graphics for Data Analysis [Hadley Wickham] on Amazon. Name Description; position: Position adjustments to points. For example you can use: geom_text() and geom_label() to add text, as. ggplot is also set up to work most easily with data in "long" format. Ggplot: multiple legends for the same aesthetic R blog By Nicola Sturaro Sommacal November 4, 2015 Tags: aestetics , ggplot , ggplot2 , graphics , legend , tutorial 1 Comment Enrico is a colleague of mine in Quantide. Legend functions. • It is much easier to tailor legends in ggplot2 than in. For the remainder of this page I will use only ggplot() because it is the more flexible function and by focusing on it, I hope to make it easier to learn. Name Description; name: Label for x axis. Arguments x, y, legend are interpreted in a non-standard way to allow the coordinates to be specified via one or two arguments. Creating plots in R using ggplot2 - part 7: histograms written February 28, 2016 in r , ggplot2 , r graphing tutorials This is the seventh tutorial in a series on using ggplot2 I am creating with Mauricio Vargas Sepúlveda. How can I write that into my stat functions?. Any Google search will likely find several StackOverflow and R-Bloggers posts about the topic, with some of them providing solutions using base graphics or lattice. Best regards, Global & Virtual Power BI User Group. ggplot2 is a part of the tidyverse, an ecosystem of packages designed with common APIs and a shared philosophy. The plotly R package serializes ggplot2 figures into Plotly's universal graph JSON. Themes can be used to give plots a consistent customized look. Width of the plot in pixels (optional, defaults to automatic sizing). cert individual sport essay center what is motivation essay marketing short importance of music essay joint family custom. Tip: check out all kinds of scales that could be used to let ggplot know that other names and labels should be used here. Graphing packages There are many additional packages to help you visualize data. Compared to base graphics, ggplot2. box = "vertical"). Developed by Hadley Wickham , Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani. This is very different to base R graphics, where you are responsible for drawing the legends by hand. ggplot2 legend : Easy steps to change the position and the appearance of a graph legend in R software. There are a couple of problems here. This is usually done by mapping a data column to an aesthetic, like colour, shape, or fill. A tutorial on Likert plots, a. Hence, there is nothing to apply legend to. packages("ggplot2") Breaking changes. In ggplot2, there are two main high-level functions capable of directly creating a plot, qplot(), and ggplot(); qplot() stands for quick plot, and it is a simple function that serves a purpose similar to that served by the plot() function in graphics. You can set the width and height of your plot. The overall appearance can be edited by changing the overall appearance and the colours and symbols used. Modify components of a theme legend. Width of the plot in pixels (optional, defaults to automatic sizing). Geoms to plot networks with ggplot2. These are series of excercises to help you get started and familiarise yourself with ggplot2 syntax, plot building logic and fine modification of plots. Built scatter plots and boxplots using ggplot and modified the components to. Multiple graphs on one page (ggplot2. I've used the code below. Adding marginal histograms or density plots to ggplot2 seems to be a common issue. Creating plots in R using ggplot2 - part 9: function plots written March 28, 2016 in r,ggplot2,r graphing tutorials Adding a legend. For example, a regression line with negative slope would appear green, and a positively sloped line would appear red. While a reprex would help, if I'm following you, the main trick is to assign a "fake" color aesthetic rather than manually overriding the color in the stat_function call. Any Google search will likely find several StackOverflow and R-Bloggers posts about the topic, with some of them providing solutions using base graphics or lattice. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. Learn how to create maps with custom colors and legends in both base R and with ggplot in R. Sign in Sign up Instantly share code, notes. In this blog post, I will show how to use a background image with ggplot2. Note that the latticedl package used in these slides is obsolete, so please use the directlabels package instead. The ggplot data should be in data. Getting a legend in ggplot2 when the aesthetic value is set to be constant instead of a variable can be tricky. While attempting to do a line chart, why does my data plunges to 0 but lines back to the number it should be? My data doesn't behave in such way, so what am I missing? I'm truly an beginner in. name/knitr/options#chunk_options opts_chunk$set(comment = "", error= TRUE, warning = FALSE, message. keeping the order of the legend, is that custom number formats consist of four. y inherit from legend. To plot all circles with the same color, specify c as a color name or an RGB triplet. custom ggplot2 legend to bottom and horizontal remove legend ggplot2 (2) This does not give you exactly what you were asking for, but will at least put the colours together:. Below is the source code for the ggplot theme_grey, as found here. Specifying Colours. Now, this is a complete and full fledged tutorial. More customized survival curves Focus on xlim and break. Course Description. Here is a suggestion using the scale_fill_distiller() function. But I made a Twitter poll to solicit input for whether blogging about how to make a Pirate Plot, manually, using ggplot2(), is a dick-move, and the overwhelming majority of the folks who answered indicated that it’s not. burn-custom-ggplot2-theme. Whenever fill is used as aesthetics in geom_point, this should happen automatically. R Language Tutorials for Advanced Statistics. remove legend ggplot2 (7). R function: guides(). 0, This post goes over the different build in glyphs and how to create your own. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification. ggplot_output[["lower_whisker"]] == base_R_output[["stats"]][1] ## [1] TRUE Boxplot Legend. customize function is from easyGgplot2 R package and it can be used to personalize graphical. If legend is missing and y is not numeric, it is assumed that the second argument is intended to be legend and that the first argument specifies the coordinates. This is the hands-on material for Introduction to ggplot2. While a reprex would help, if I'm following you, the main trick is to assign a "fake" color aesthetic rather than manually overriding the color in the stat_function call. 1 Title Create Elegant Data Visualisations Using the Grammar of Graphics Description A system for 'declaratively' creating graphics, based on ``The Grammar of Graphics''. In this case it is possible to position the legend inside the plotting area. At the same time, I was. Download it once and read it on your Kindle device, PC, phones or tablets. Ggplot: multiple legends for the same aesthetic R blog By Nicola Sturaro Sommacal November 4, 2015 Tags: aestetics , ggplot , ggplot2 , graphics , legend , tutorial 1 Comment Enrico is a colleague of mine in Quantide. Most of the time, I rely on the ggthemes package and the Economist style. I am using ggplot and I would like to label the scales in each facet of a plot manually. If you right click the measure you can re-name the measure, that will reflect in your legend. I have a plot I'm making in ggplot2 to summarize data that are from a 2 x 4 x 3 celled dataset. To make the plots manageable we’re. Hi everyone, I'd like to create a stat similar to this example from the ggplot vignette that automatically colors regression lines based on either a positive or negative slope. a ggplot object. A function will be called with a single argument, the plot data. These functions makes it possible to set a custom color palette for each group level. shape 21) the fill values are reflected in the legend as well. The purpose of the first is to add graphic options and the purpose of the second one is to add the description text. 2) and ggplot2 (ver. Sold by the square foot. If NULL, the default, the data is inherited from the plot data as specified in the call to. So if you use color, shape or alpha, a legend will be available. ggplot format snippets. You can set up Plotly to work in online or offline mode. This tutorial focusses on exposing this underlying structure you can use to make any ggplot. I spent some time making a few Indiana county maps in R. com, Jason Crowley crowley. Parameters. 0, This post goes over the different build in glyphs and how to create your own. The overall appearance can be edited by changing the overall appearance and the colours and symbols used. The skewed proportions between legend and map are I think probably the result of Rstudio. ggplot2 is a part of the tidyverse, an ecosystem of packages designed with common APIs and a shared philosophy. Application of ggplot2 to Pharmacometric Graphics. The first step after importing the data is to convert it from wide format to long format, and replace the long month names with abbreviations, after which it is time to have a first look at the data. theme # use the custom theme we just Change legend name ggplot (mtcars, aes. Here is an example of Exploring ggthemes: There are many themes available by default in ggplot2: theme_bw(), theme_classic(), theme_gray(), etc. limits: Where x axis starts/stops. Wednesday, September 27, 2017. legend = NA. The individual theme elements are: line all line elements('element_line') rect all rectangluarelements ('element_rect') text all textelements ('element_text') title all title elements: plot, axes, legends ('element_text'; inherits from 'text') axis. All objects will be fortified to produce a data frame. The ggplot2 package provides several other tools to annotate plots using the same geoms you would use to display data. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. Creating plots in R using ggplot2 - part 7: histograms written February 28, 2016 in r , ggplot2 , r graphing tutorials This is the seventh tutorial in a series on using ggplot2 I am creating with Mauricio Vargas Sepúlveda. By default, ggplot2 will automatically build a legend on your chart as soon as a shape feature is mapped to a variable in aes() part of the ggplot() call. Talk for BURN meetup on 2017. legend = TRUE forces inclusion on every legend. Performance orientated 1-piece pressure cast wheels, and premium, American-made multi-piece forged billet for that all important stance and persona. legend = F) I wanted to manually create a legend to show that a little red triangle representing clinics. 1 Title Create Elegant Data Visualisations Using the Grammar of Graphics Description A system for 'declaratively' creating graphics, based on ``The Grammar of Graphics''. ggplot_output[["lower_whisker"]] == base_R_output[["stats"]][1] ## [1] TRUE Boxplot Legend. It saves the last ggplot you made, by default, but you can specify which plot you want to save if you assigned that plot to a variable. I started off with the variable 'byWeek' which shows how many members joined the group each week:. An implementation of the Grammar of Graphics in R. First, let's load some data. Because group, the variable in the legend, is mapped to the color fill, it is necessary to use scale_fill_xxx, where xxx is a method of mapping each factor level of group to different colors. Step 5 draws an interactive plotly graph. The ggplot2 package contains the following man pages: absoluteGrob add_theme aes aes_ aes_all aes_auto aes_colour_fill_alpha aes_group_order aes_linetype_size_shape aes_position annotate annotation_custom annotation_logticks annotation_map annotation_raster as_labeller as. 9 and ggplot2 a score of 9. ggplot2 themes and background colors : The 3 elements legend title and text, axis tick mark ggthemes package provides many custom themes and scales for ggplot. Name Description; position: Position adjustments to points. ggplot2 can use those colours in discrete scales. Arguments x, y, legend are interpreted in a non-standard way to allow the coordinates to be specified via one or two arguments. If you're in a working environment that has it's own custom palette, for example a consultancy or accounting firm, it's great to have ggplot2 figures match your document templates and power point files. cert individual sport essay center what is motivation essay marketing short importance of music essay joint family custom. For additional editing options, or to modify legend entries without affecting the worksheet data, you can make changes to the legend entries in the Select Data Source dialog box. They also have the same structure as arguments that lead to major companies being displaced by newer and more agile innovators in their industry. I am attaching an example code below. Themes are a powerful way to customize the non-data components of your plots: i. That means that you either have to use scale_color_manual if you really want a black line, or you have to accept stat_function being some automatically chosen col. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specificationsuperimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scalesadd customizable smoothers that use powerful modeling capabilities of R, such. Performance orientated 1-piece pressure cast wheels, and premium, American-made multi-piece forged billet for that all important stance and persona. title: legend title. 0) Enjoyed this article? I'd be very grateful if you'd help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In. Poly Viscose Custom Bucket Hats are available at Legend Life. Hi, I'm trying to make a ggplot() graph with a custom legend, but without success, it is simple, I have somethink like this in traditional. If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot(). For examples on everything the theme function can do, see this supplemental handout. An implementation of the Grammar of Graphics in R. I am attaching an example code below. Unlike base R graphs, the ggplot2 graphs are not effected by many of the options set in the par( ) function. I still think this is a bug. Looks like ggplot uses a non-fillable circle (probably shape 19) as default in the legend. Each function returns a layer. So, when I'm talking. This is one in a series of tutorials in which we explore basic data import, exploration and much more using data from the Gapminder project. Legend type guide shows key (i. The function is called with a grid of evenly spaced values along the x axis, and the results are drawn (by default) with a line. These functions makes it possible to set a custom color palette for each group level. • CC BY RStudio • [email protected] We’ll add theme_bw. How to I go about adding a legend to the following plot? ggplot() + geom_line(aes(x=df2010$Price,y=df2010$percentCapacity), colour = "red") +. For example, the capitalize function from the Hmisc package will capitalize the first letters of strings. Add text labels with ggplot2 This document is dedicated to text annotation with ggplot2. Legend functions. Change a ggplot gradient color (also. The ggalluvial package strives to adapt the style and flexibility of the alluvial package to the principles and frameworks of the tidyverse. Prompt manufacturing and fast shipment. Plot only legend of plot function gglegend: Plot only legend of plot function in GGally: Extension to 'ggplot2' rdrr. Below, I show how this works. In this R graphics tutorial, we present a gallery of ggplot themes. Then I learnt that ggplot2 actually has a pretty great extension system so I could create my own geoms I needed for my work or just for fun. Next let’s make a change to the overall look of the plot, using what ggplot calls a theme. ggplot format snippets. Marginal plots in ggplot2 - The problem. Graphical Primitives a. ggplot show legend (1) How does one get a legend to display when plotting lines in ggplot?. I am using ggplot and I would like to label the scales in each facet of a plot manually. But, the way you make plots in ggplot2 is very different from base graphics. Line types in R The different line types available in R software are : "blank", "solid", "dashed", "dotted", "dotdash", "longdash", "twodash". Use "colourbar" for continuous colour bar, or "legend" for discrete colour legend. io Find an R package R language docs Run R in your browser R Notebooks. Developed by Hadley Wickham , Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani. Our team will add your custom text & graphics with computer cut vinyl -or- digital, thermal or screen printing. Construct a manual legend for a complicated plot. Good example of methods in R; Different functionality for different classes. Use a list of colors that are color-blind friendly. Unsure which solution is best for your company? Find out which tool is better with a detailed comparison of matlab & ggplot2. As you can see, the items in the legend are not in the order that the curves appear at their centers Add manual legend ggplot2. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. There is documentation for labs, if that's what you're looking for. When producing so called infographics, it is rather common to use images rather than a mere grid as background. a ggplot object. I want my legend to include the red dots from geom_point to define what they are (let's just say hospitals for this example). customize function is from easyGgplot2 R package and it can be used to personalize graphical. annotation_custom expects the grob to fill the entire viewport defined by xmin, xmax, ymin, ymax. First, let’s load some data. Construct a manual legend for a complicated plot. If NULL, the default, the data is inherited from the plot data as specified in the call to. A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair) Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlas’s Altair, a promising young visualization library. spacing or can be additional element specifications not part of base ggplot2. GitHub Gist: instantly share code, notes, and snippets. 9 and ggplot2 a score of 9. Geoms - Use a geom to represent data points, use the geom’s aesthetic properties to represent variables. I'm trying to get a custom legend for a ggplot with data coming from two separate data frames. R Language Tutorials for Advanced Statistics. Tip: check out all kinds of scales that could be used to let ggplot know that other names and labels should be used here. These functions makes it possible to set a custom color palette for each group level. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. In your case, the small legend image would probably be nothing but the text "A" or "B" and the description text would well, describe these. Using the following code I have managed to puoulate the graph as I would like it:. We joked around and I agreed to create a unicorn ggplot theme. These newly designed knives featured in the new CUSTOM ALLIANCE will be few in number, and will quickly become a valued centerpiece of your collection. R function: guides(). A function will be called with a single argument, the plot data. • CC BY RStudio • [email protected] Parameters. It is an extension to ggplot2 [] specifically for the plotting of ternary diagrams. There is a lot of ggplot2 code to digest here. It might. A function will be called with a single argument, the plot data. Most changes were made to have an updated version, to follow code style guides, to change style and aesthetics of plots to be (more) beautiful and meaningful and to include additional tipps. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification. As suggested I have used ggplot2 for creating a choropleth map. As discussed in 34, ggplotly() can actually convert custom geoms as well, but each one requires a custom hook, and many custom geoms are not yet supported. legend = TRUE forces inclusion on every legend. guide_legend: Legend guide in ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. These newly designed knives featured in the new CUSTOM ALLIANCE will be few in number, and will quickly become a valued centerpiece of your collection. ‘ggtern’ is a software package for the statistical computing language R. In this case it is possible to position the legend inside the plotting area. Multiple graphs on one page (ggplot2. spacing or can be additional element specifications not part of base ggplot2. ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. Examples with code and interactive charts. Hi everyone, I'd like to create a stat similar to this example from the ggplot vignette that automatically colors regression lines based on either a positive or negative slope. variable (and you can rename the legend title there, too, as demonstrated). ggplot(aes(x='wt', y='mpg', colour='factor(cyl)'), data=mtcars) +\ geom_point() +\ scale_colour_manual(values=["blue", "purple", "orange"]). You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use,. This project is an attempt to re-express the code in McElreath’s textbook. is more verbose for simple / canned graphics; is less verbose for complex / custom graphics; does not have methods (data should always be in a data. Or copy & paste this link into an email or IM:. However, other people can – and hopefully will – bundle up their custom Shiny input components as R packages and make them available to the rest of the community. Here is an example of Step 7: Custom legend: Although you have a lot of information on your plot, the only aesthetic that you used was color, so the legend won't reflect all geoms and color attributes that you've used. I want to use the challenge to detail a) how to create custom ggplot themes and b) look at unicorn startup data. Any Google search will likely find several StackOverflow and R-Bloggers posts about the topic, with some of them providing solutions using base graphics or lattice. R and ggplot can create fantastic graphs, but the default Arial/Helvetica font is too boring and standard. Mastering R Plot – Part 1: colors, legends and lines. Package 'ggplot2' August 11, 2019 Version 3. There is a lot of ggplot2 code to digest here. To help you create maps on your own we share a typical. 0, This post goes over the different build in glyphs and how to create your own. If you right click the measure you can re-name the measure, that will reflect in your legend. See if this thread can help you: R: ggplot2 specify dataset for scale_fill_continuous. legend logical. do NOT contact me with unsolicited services or offers. These control what is being plotted and the relationship between data and what you see. stackoverflow. 2) and ggplot2 (ver. You can save a ggplot using ggsave(). Hoping someone can help with what may seem like a simple question. Why do we need to add three semicolons as a custom Excel format? The reason behind is that custom number formats consist of four sections separated by three semicolons, so if we just type three semicolons and nothing else, the cell will appear empty. Hi all, ok I have this issue: I want to change my graphs legends to custom text, often requiring the use of. Control the legend colors manually by specifying custom color values. Scales and themes in ggplot2. There are many ways to follow us - By e-mail:. A custom theme could come in handy both in academia and industry to ensure a consistent style. box = "vertical"). a ggplot object. ggplot is also set up to work most easily with data in "long" format. How to I go about adding a legend to the following plot? ggplot() + geom_line(aes(x=df2010$Price,y=df2010$percentCapacity), colour = "red") +. In this blog post, I will show how to use a background image with ggplot2. Even the most experienced R users need help creating elegant graphics. Laying out multiple plots on a page Baptiste Auguié 2019-07-13. These offerings will typify the WILSON standards of extraordinary quality, classic design and unmatched value. There are a couple of problems here. I'm trying for the first time ever R Scripting with ggplot. Many of the examples were redundant or clearly a poor choice for this particular data; the purpose was to demonstrate the capabilities of ggplot2 and show what options are available. Making Maps with R Intro. guide_legend: Legend guide in ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. I have made some pretty cool plots with it, but on the whole I find myself making a lot of the same ones, since doing something over and over again is generally how research goes. The default is to use a different hue on the color. By default, ggplot2 will automatically build a legend on your chart as soon as a shape feature is mapped to a variable in aes() part of the ggplot() call. guide_legend: Legend guide in ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. geom_line in ggplot2 How to make line plots in ggplot2 with geom_line. The labcurve function in the Hmisc package provides some similar functionality. Legends in Python How to configure and style the legend in Plotly with Python. x and y are the coordinates of the legend box. Examples with code and interactive charts. Maybe I will write a post about this topic, too.