R Plotly Point

Plotly examples. Head to our docs to get a key and you can start making, embedding, and sharing plots. size` and/or `marker. In the meantime, check out these 7 fresh Dash apps made by the Dash. , cartograms) using the sf R package, but it’s also possible to make custom plotly maps via other tools for geo-computing (e. names are the group labels which will be printed under each boxplot. Interactive Web frameworks in R. As an example, the chart below was created in R using the plotly package. Interactive Embedded Plots with Plotly and ggplot2 Largley lifted from this r-bloggers post install. The best way to build an interactive bubble chart from R is through the plotly library. It makes heavy use of plotly for rendering graphics, but you’ll also learn about other R packages that augment a. R is freely available under. , config(p, editable = TRUE)) and use circle shapes, rather than geom_point() (ggplotly() will translate geom_point() to a scatter trace, which you can't drag). The data visualized as scatter point or lines in 3D dimension is set in `x`, `y`, `z`. , color, linetype, etc). Point methods. title (string) The figure title. Automatically Grab Data From an Image with WebPlotDigitizer Imagine you find a cool graph on the web, and you'd like to see the source data. Now, you can you can also make 3D plots. There are a wide range of types available, from 3D scatter plots, to 3D lines, 3D surfaces, and 3D meshes. graphical parameters such as xpd and the line characteristics lend, ljoin and lmitre: see par. Even the most experienced R users need help creating elegant graphics. There are multiple ways to turn static ggplots into interactive plots, and I've experimented with a few. First, select the 'Type' menu. plotly charts are described declaratively in the call signature of plotly::plot_ly, plotly::add_trace, and plotly::layout. The scatterplot is most useful for displaying the relationship between two continuous variables. And the plotly package in R provides the code-saving capability of powerful interactive graphics generated directly from R’s well-traveled ggplot syntax. Try to hover circles to get a tooltip, or select an area of interest for zooming. Plotly examples. Go to your preferred site with resources on R, either within your university, the R community, or at work, and kindly ask the webmaster to add a link to www. I'm aware of the plotly plugin for Office, but my visualizations are not hosted on the plotly service due to confidentiality reasons, hence the local save of the html file. R provides packages for data science and machine learning operations. This R tutorial describes how to change the point shapes of a graph generated using R software and ggplot2 package. should plotly. Plotly R Open Source Graphing Library. Here's where plotly comes in! The ggplotly() function can be applied to (almost) any ggplot2 object in order to make it interactive, with additional features like toggling which data to show and ability to zoom in and hover on specific data points. It is a great way to display a specific range within your chart, especially for time series plots. HTML widgets can be used at the R console as well as embedded in R Markdown reports and Shiny web applications. 30 Nasdaq. So now if I do plot_ly, plot_ly's main plotting command, x is the time variable, y is airmiles. For the `filled-triangle`, the first point `(0. I went through 3 unsuccessful installation attempts of plotly as root in the R prompt by install. Many methods will accept the. This is the website for “Interactive web-based data visualization with R, plotly, and shiny”. 3 and /usr/bin/pandoc --version returns the same. We use the data set "mtcars" available in the R environment to create a basic boxplot. Like Leaflet, plotly is an R wrapper package for a JavaScript visualization API — in this case, it's the plot. It also develops/provides scientific graphing libraries for Arduino, Julia, MATLAB, Perl, Python, R and REST. ly Plotly's R graphing library makes interactive, publication-quality graphs online. This is one of those times. com/aagarw30/800c4da26eebbe2331860872d31720c. You are just missing one last step. For example, demo("sf-dt", package = "plotly") gives an example of querying simple feature data by linking plot_mapbox() with DT via crosstalk. This data set was sourced from the Austin open data portal. This is the website for "Interactive web-based data visualization with R, plotly, and shiny". We'll take a look at a few common plot types, and then introduce flexdashboards as a way to collect plots (either static or interactive). Furthermore, when I hover over the plot I only want to see the y value when I am on the marker points, not the rest of the plot. For the `filled-triangle`, the first point `(0. Frustratingly, plotly commands work in R console to produce charts viewable in Explorer but in RStudio I get just the axes and no data plotted. I am using the sp package in R to plot sampled points along a river. In this book, you’ll gain insight and practical skills for creating interactive and dynamic web graphics for data analysis from R. They are extracted from open source Python projects. Do I need to submit the code used to create the figure? A. This page contains an extensive list of these attributes. Your code histogram to plotly is working. +- Fix `Plotly. plotlyというインタラクティブなchartsを作るパッケージ 元は同社の可視化コンテンツにアクセスするためのパッケージ(要登録) 現在はオープンソース化; htmlwigets系で一番GitHubの★を稼いでる; 以下の資料がおすすめ R Graphing Library | Plotly. See the usage documentation linked to from the sidebar for more details. Scatter and Line Plots in R How to create line and scatter plots in R. Here is a simple example of a plotly chart inlined with links to each attribute's reference section. 15 videos Play all R Plotly Tutorial | Plotly in R Abhinav Agrawal How To Convert pdf to word without software - Duration: 9:04. Plotly is an extremely useful Python library for interactive data visualization. size` and/or `marker. This function maps R objects to plotly. plot (where point_colors and ICER_colors are preferred). R Plotly Tutorial - add_annotations() - add annotation to single data point in R Plotly by Abhinav Agrawal. , sudo apt-get install r-cran-knitr because some of the frequently updated packages are slow to compile from tarballs. ly Plotly's R graphing library makes interactive, publication-quality graphs online. Examples of how to make maps with Plotly and Mapbox. To embed html files, one could use LiveWeb like this post, or use utilize the Web Browser object in a macro as here. Data Visualization in R Olga Scrivner ggplot2 googleVis plotly igraph Two Approaches 1. Read the new Plotly-Shiny client tutorial. org for more info Clicking on the…. There are many other graph types available, so be sure to read Plotly’s documentation thoroughly. Dual annotations for scatter point in plotly. So you get a nice F# interface support with the full power of Plotly. You can set up Plotly to work in online or offline mode. plotly conditional color of scatter points based on distance from line If I have a roughly linear scatterplot, I would like to change the color of the points based on how far they are from the line. Line with LineStyle. mapping data values to fill colors (via color) or creating animations (via frame)) and sets some different defaults to make the interface feel. The goal in learning Plotly was for me was to eliminate the Excel-VBA dashboard I created using for my manager. R Plotly Tutorial | add_annotations() | Add annotations to R Plotly plots R Plotly Tutorial - add_annotations() - add annotation to single data point in R Plotly by Abhinav Agrawal. This R tutorial describes how to change the point shapes of a graph generated using R software and ggplot2 package. Graphical Primitives Data Visualization with ggplot2 Cheat Sheet RStudio® is a trademark of RStudio, Inc. Hi, Since this morning I am not able to generate 3D charts with plotly package. The API lets you produce interactive D3. , color, linetype, etc). Point shapes in R The different points shapes commonly used in R are illustrated in the figure below :. How can you decide which of the many available chart types is best suited for your data? Use this guide to get familiar with some common graph types and how they are used. Description. Is it possible to instead display an image associated with each point when the user hovers over or clicks on it? I am mostly just using the web interface, but I could instead push my ggplot from R. The MIT License is the most permissive of open. Try to hover circles to get a tooltip, or select an area of interest for zooming. This code will walk you through three examples of how to use RColorBrewer to color your Plotly graphs. R - Scatterplots - Scatterplots show many points plotted in the Cartesian plane. In this article, one can learn from the generalized syntax for plotly in R and Python and follow the examples to get good grasp of possibilities for creating different plots using plotly. Below, notice how you can quickly create a dygraph interactive plot. If you are an R blogger yourself you are invited to add Embedding R-generated Interactive HTML pages in MS PowerPoint Use the LiveWeb plugin to point your. r - Integrate plotly with shinydashboard I have used shiny for several small scale project and am now giving a try to the shinydashboard package which looks rather promising. Multiple Axes Scales with Old Faithful Data R users find it notoriously difficult to plot two series on the same graph but with different y scales. Plotly allows you to display text fields when hovering over a point on a scatterplot. Check back soon for an improved layout and new apps from Shiny users!. In this article, I show how you can add value to your visualizations by making them interactive with efficient packages in R. The plan is to fold it into Plotly 4. manhattanly: Interactive Q-Q and Manhattan Plots Using 'plotly. First we install and load the package. Plotly is a flexible framework for producing interactive graphics; it has a variety of implementations, including one for R. Bubble charts are achieved by setting `marker. A polar chart is a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point. ly as its URL goes), is a tech-computing company based in Montreal. Now, you can you can also make 3D plots. In our exercise files, there's a file called example-charts. We will start with a widget called plotly. This plot was made using ggplot2's time scale. R-Markdown is a great way to create dynamic documents with embedded chunks of R code. js # Plots can be created online in the plotly web GUI or offline using the plotly package # Interactive plots that can be easily shared online using the plotly API/account # Plotly plots can embed into R Markdown, R Shiny # Tool tip feature and other. As an example, the chart below was created in R using the plotly package. See Plotly's revenue, employees, and funding info on Owler, the world’s largest community-based business insights platform. The MIT License is the most permissive of open. js' Create interactive Q-Q, manhattan and volcano plots that are usable from the R console, in the 'RStudio' viewer pane, in 'R Markdown' documents, and in 'Shiny' apps. pyplot The result is : This page shows the method to draw electric field line around a point charge adjecent to a grounded sphere using method of image charges. Sometimes I have to write stuff so I won't forget how to do it. packages("devtools") # so we can install from GitHub devtools::install_github("ropensci/plotly") # plotly is part of rOpenSci. I did not want to use Shiny, since I required the visualisation to be portable. A vector field associates to each point of coordinates (x, y, z) a vector of components (u, v, w). Read on or see our tutorials for more. com • 844-448-1212. We'll show you how in this article as well as how to visualize it using the Plotly package. What is plotly? plotly is a platform for collaborative data visualizations. Each project defines its own environment, and RStudio Cloud automatically reproduces that environment whenever anyone accesses the project. Point shapes in R The different points shapes commonly used in R are illustrated in the figure below :. Also, here you can find something about chart types in Plotly. Making Maps with R Intro. If height is a vector, the plot consists of a sequence of rectangular bars with heights given by the values in the vector. However, sp also provides some user-level functionality in its own right, including spatial extensions to commonly used R base graphics functions such as plot, points, and. ly first hit the scene, I was like, woah, this is awesome, knitr support and everything! I recently asked them about building better dashboards, and they sent me this info — apparently there is some support for integrating plot. Scatter and bubble plots: use plotly. The things he enjoys the most are statistics, economics, and sports of all kinds (electronics included). Please share your favorite snippets with us and add them to this page. com/aagarw30/800c4da26eebbe2331860872d31720c. the R, JS and Python API libraries enable a wider range of options and a greater degree of flexibility. Bullet Charts in R using Plotly Published May 16, 2016 December 7, 2016 by Riddhiman in Business Intelligence, Dashboards, Data Visualization, R. packages (plotly) # if you haven't installed the package library (plotly). Contribute to chriddyp/ggplot2-plotly-cookbook development by creating an account on GitHub. So we haven't given it a data frame, we've just named two arguments x and y. I'm aware of the plotly plugin for Office, but my visualizations are not hosted on the plotly service due to confidentiality reasons, hence the local save of the html file. The guard-forward hybrids like Jimmy Buckets and Ben ‘Fresh Prince’ Simmons (the yellow dots) cap out at the 35 minute mark. It is assumed that you are familiar with using tables in R (see the section on two way tables for more information: Two Way Tables). Express can reduce the code required to make many Plotly figures from a Pandas. The goal in learning Plotly was for me was to eliminate the Excel-VBA dashboard I created using for my manager. Before getting started with your own dataset, you can check out an example. Hello, I'm new to Plotly and am very excited to use it's flash visualizations and the tooltip. Excel has (some) benefits over ggplot2 static charts: you can easily hover your mouse over a series to see the data value, and most industry users know how to manage an Excel axes. So you get a nice F# interface support with the full power of Plotly. I also want to integrate interactive plot using plotly (although other libraries can be considered in the future). Plotly forum and Q/A site. Shiny, Plotly R Nano Course Series 01/31/2016 Min Soo Kim Bioinformatics Core Facility Department of Bioinformatics. Most of these attributes work for other trace types as well, so learning an attribute once for a specific plot can pay off in other contexts as well. You can vote up the examples you like or vote down the ones you don't like. To embed html files, one could use LiveWeb like this post, or use utilize the Web Browser object in a macro as here. Make line graphs online with Excel, CSV, or SQL data. A line of best fit lets you model, predict, forecast, and explain data. Here we will use a made up data set primarily to make it easier to figure out what R is doing. log_r (boolean, default False) If True, the radial axis is log-scaled in polar coordinates. Scatter and Line Plots in R How to create line and scatter plots in R. Get ready to utilize the power of: ggplot2, dygraphs and plotly! High quality visualizations with ggplot2. R offers a set of packages called the html widgets: they allow to build interactive dataviz directly from R. They also support streaming graphs. The versions of rmarkdown, plotly, knitr could be a problem but I'm committed to the debian/Ubuntu way of updating R packages, e. Shiny, Plotly R Nano Course Series 01/31/2016 Min Soo Kim Bioinformatics Core Facility Department of Bioinformatics. title (string) The figure title. 7 Plotly Graphs in 3D: Stocks, Cats, and Lakes. Plotly in RShiny Dashboards. One particular feature the project requires is the ability to hover over a plot and get information about the nearest point (generally referred to as "hover text" or a "tool tip"). Use animation_slider() to hide the slider. Just remember, with great power comes great responsibility. You can vote up the examples you like or vote down the ones you don't like. Immediately below are a few examples of 3D plots. They are extracted from open source Python projects. log_r (boolean, default False) If True, the radial axis is log-scaled in polar coordinates. Plotly is a web-based service by default, but you can use the library offline in Python and upload plots to Plotly's free, public server or paid, private server. I am using plotly, but would like to automatically generate an image PNG file for the same plot. You can set up Plotly to work in online or offline mode. Express can reduce the code required to make many Plotly figures from a Pandas. If height is a vector, the plot consists of a sequence of rectangular bars with heights given by the values in the vector. Now, you can you can also make 3D plots. Saving as html does not work in R console (requires pandoc) but works from RStudio. According to Wikipedia, the first stable beta was released in 2000. Please share your favorite snippets with us and add them to this page. Plotly is a online browser based tool for visualizing data, which also has a streaming feature for displaying your data in real-time. Plotly is a web-based service by default, but you can use the library offline in Python and upload plots to Plotly's free, public server or paid, private server. Go to your preferred site with resources on R, either within your university, the R community, or at work, and kindly ask the webmaster to add a link to www. Dash and Shiny are. geom_path() connects the observations in the order in which they appear in the data. First we install and load the package. The scatterplot is most useful for displaying the relationship between two continuous variables. RStudio’s community is another great place to ask broader questions about all things R and plotly. He has also authored a book called R Data Visualization Recipes. Plotly is a visualization library available on a number of platforms, including Java, Python, and R (where my own past personal, albeit limited experience with Plotly lies) as well as through Plotly’s (the organization) commercial product. The plotly package. When might you use a 3D plot? When you have data with three dimensions–x, y, and z data. This blog post shows how to get the best from ggplotly , the function of plotly allowing you to turn any ggplot2 chart interactive. colour for mid point midpoint The midpoint (in data value) of the diverging scale. Create Colorful Graphs in R with RColorBrewer and Plotly Published April 14, 2015 January 4, 2016 by chelsea in R RColorBrewer is an R package that allows users to create colourful graphs with pre-made color palettes that visualize data in a clear and distinguishable manner. Information from each point should appear as you move the courser around the scatterplot. The sp package provides the basis for many other spatially oriented R packages, as it defines a set of classes that have become the de facto standard spatial data types in R. It is known for developing and providing online analytics, statistics and graphing tools for individuals or companies. The MIT License is the most permissive of open-source licenses. In this article, I show how you can add value to your visualizations by making them interactive with efficient packages in R. 5)`, the second point `(0. Let's look at the columns "mpg" and "cyl" in mtcars. They are extracted from open source Python projects. Description This is a variant geom_point that counts the number of observations at each location, then maps the count to point size. Lucky for me Plotly provides some examples in GitHub which I used as my starting point. A data product is the production output from a statistical analysis. The API lets you produce interactive D3. js graphing library. Hovering the mouse over the chart type icon will display three options: 1) Charts like this by Plotly users 2) View tutorials on this chart type 3) See a basic example. Python Plotly Tutorial. Plotly's R library is free and open source! Get started by downloading the client and reading the primer. The library provides a complete mapping for the configuration options of the underlying library but empowers you to use the comfortable style known from the beautiful library F# Charting. title (string) The figure title. Also be on the look-out for updates to the mapping section of the plotly for R book as well as examples in some of my more recent talks. js graphing library. Introduction to Dash framework from Plotly, reactive framework for building dashboards in Python. 16 and ggplot2_2. During this tutorial, we are going to explore the median reported wages of creative occupations within the city of Austin for 2016 and 2017. Text (appearing either on the chart or on hover only) is via `text`. Plotly provides interactive plots and are easily readable to audience who doesn't have much knowledge on reading plots. A vector field associates to each point of coordinates (x, y, z) a vector of components (u, v, w). It allows you to create and store interactive data visualisations online. There are multiple ways to turn static ggplots into interactive plots, and I’ve experimented with a few. Here is an interactive bubble chart built in R, thanks to the ggplotly() function of the plotly library. R Plotly Tutorial - Scatter Plot in Plotly - Change the data point colors Abhinav Agrawal. Plotly is an online analytics and data visualization tool to create graph and share data contents. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland. Point of tangency - Point of change from circular curve to forward tangent P. HTML widgets can be used at the R console as well as embedded in R Markdown reports and Shiny web applications. ly charts have. py template object) The figure template name or definition. Using Plotly with PowerPoint I’ve recently moved from excel to plot. Free to get started!. The plotly package. Shiny is a reactive programming framework for generating web applications in pure R. First, select the 'Type' menu. This function sets a variety of options for brushing (i. Before linking views with plotly inside shiny, let's first talk about how to embed plotly inside a basic shiny app! Through a couple basic examples, you'll learn the basic components of a shiny and get a feel for shiny's reactive programming model, as well as pointers to more learning materials. Shiny is an R package that allows users to build interactive web applications easily in R! Using Shiny and Plotly together, you can deploy an interactive dashboard. geom_point. class: center, middle, inverse, title-slide # Interactive dataviz on the web with R & plotly ### Carson Sievert ### Slides: bit. We use the data set "mtcars" available in the R environment to create a basic boxplot. Ead from the plotly Dash forum who had the idea for the technical integration of dash this is based on. Point shapes in R The different points shapes commonly used in R are illustrated in the figure below :. Plotly's R library is free and open source! Get started by downloading the client and reading the primer. You can use ggplot2, Plotly's R API, and Plotly's web app to make and share interactive plots. Sets the radial coordinatesfor legacy polar chart only. Point methods. Like Leaflet, plotly is an R wrapper package for a JavaScript visualization API — in this case, it's the plot. So you get a nice F# interface support with the full power of Plotly. When it comes to weather maps, Plotly’s point of difference comes in its ability to hover-over and interact with specific data points on the fly, instead of looking at a legend and. y: the y coordinates of points in the plot, optional if x is an appropriate structure Arguments to be passed to methods, such as graphical parameters (see par). Depends R (>= 2. Hovering the mouse over the chart type icon will display three options: 1) Charts like this by Plotly users 2) View tutorials on this chart type 3) See a basic example. Each project defines its own environment, and RStudio Cloud automatically reproduces that environment whenever anyone accesses the project. R Plotly Tutorial - Scatter Plot in Plotly - Change the data point colors Abhinav Agrawal. I really like the interactivity that the plot. A line or two of R code is all it takes to produce a D3 graphic or Leaflet map. Plotly's top competitors are FusionCharts, Software FX and APL. Here you can see the correlation value between concave point_means and fractal_dimension_se is around. Shiny is an R package that allows users to build interactive web applications easily in R! Using Shiny and Plotly together, you can deploy an interactive dashboard. During this tutorial, we are going to explore the median reported wages of creative occupations within the city of Austin for 2016 and 2017. Handling overplotting. Each point represents the values of two variables. For example, demo("sf-dt", package = "plotly") gives an example of querying simple feature data by linking plot_mapbox() with DT via crosstalk. colour for mid point midpoint The midpoint (in data value) of the diverging scale. The second method is via the plotly package, developed by a Canadian company of the same name. One really great feature of the plotly R package is the ability to convert a ggplot figure into an interactive plot using the ggplotly function. range_r (2-element list of numbers) If provided, overrides auto-scaling on the radial axis in polar coordinates. 0 R client release. You can customize many features of your graphs (fonts, colors, axes, titles) through graphic options. Ead from the plotly Dash forum who had the idea for the technical integration of dash this is based on. R shiny refreshing “Rangeslider” and “rangeselector” of Plotly, while updating the “real time data” stock_point timestamp S. There are many other graph types available, so be sure to read Plotly’s documentation thoroughly. This post explains and gives examples how fully three-dimensional (3D) visualizations can be created using the MATLAB CLI interface together with FEATool and Plotly. This function maps R objects to plotly. Handling overplotting. In this course, you will learn how to create and customize interactive graphics in plotly using the R programming language. Hover over the points in the plot below. the coordinates of points in the plot. I am using the sp package in R to plot sampled points along a river. This post has five examples. js uses the same scatter type for creating both line charts and bubble charts. The Plotly-Shiny client has been updated with the 2. ggplot2 was really a gamechanger in data science when it was realeased for R Statistical Computing in 2007. The MIT License is the most permissive of open. Arguments mapping The aesthetic mapping, usually constructed with aes or aes_string. Exemples de données. The guard-forward hybrids like Jimmy Buckets and Ben ‘Fresh Prince’ Simmons (the yellow dots) cap out at the 35 minute mark. plotly is a high-level interface to plotly. Arguments mapping Set of aesthetic mappings created by aes or aes_. Enter plotly. File listing for plotly. colours, colors Vector of colours to use for n-colour gradient. R Plotly Tutorial - add_annotations() - add annotation to single data point in R Plotly by Abhinav Agrawal. Each project defines its own environment, and RStudio Cloud automatically reproduces that environment whenever anyone accesses the project. Read the new Plotly-Shiny client tutorial. angle from the shaft of the arrow to the edge of the arrow head. R is a programming language and software environment for statistical analysis, graphics representation and reporting. By on April 5, 2017. js graphs with R. plotly charts are described declaratively in the call signature of plotly::plot_ly, plotly::add_trace, and plotly::layout. The second method is via the plotly package, developed by a Canadian company of the same name. For the following examples load the RColorBrewer and plotly packages:. js, Part 5: Pie and Gauge Charts So far in the series, you have learned how to create line charts and bar charts in Plotly. This code shows how to visualize streamlines with continuous lines using python and matplotlib. The additional parameters are used to control labels. Try to hover circles to get a tooltip, or select an area of interest for zooming. plot (where point_colors and ICER_colors are preferred). Here is a simple example of a plotly chart inlined with links to each attribute's reference section. It is known for developing and providing online analytics, statistics and graphing tools for individuals or companies. R plotly Tutorial - add_annotations() - add text at a specific location on plot (x. Plotly Express was released in March 2019, and is in active development, with support for more charts on the way. True three-dimensional plots can be drawn using plotly. , config(p, editable = TRUE)) and use circle shapes, rather than geom_point() (ggplotly() will translate geom_point() to a scatter trace, which you can't drag). io Find an R package R language docs Run R in your browser R Notebooks. aes = TRUE (the default), is combined with the default mapping at the top level of the plot. Data scientists use R Markdown documents to create reproducible code that can be rendered in a variety of output types. The Plotly-Shiny client has been updated with the 2. Chart::Plotly::Trace::Scattergeo - The data visualized as scatter point or lines on a geographic map is provided either by longitude/latitude pairs in `lon` and `lat` respectively or by geographic location IDs or names in `locations`. should plotly. Dash User Guide and Documentation. New to Plotly? Plotly's R library is free and open source! Get started by downloading the client and reading the primer. Information from each point should appear as you move the courser around the scatterplot. All gists Back to GitHub. js is not limited to just a few chart types. Turn your analyses into high quality documents, reports, presentations and dashboards with R Markdown. In this workshop you will learn about 4 R packages to perform data visualization: ggplot2, googlevis, plotly and igraph. Thanks for this. 90446417,25129 ATL,William B Hartsfield-Atlanta Intl. Introduction to Dash framework from Plotly, reactive framework for building dashboards in Python. References. Enter plotly. This post has five examples. js by executing npm install plotly from the terminal. Simple Plot Examples in R Below are some simple examples of how to plot a line in R, how to fit a line to some points, and how to add more points to a graph. Some of the most common output types include HTML, Word, and PDF, but new improvements make it possible to create PowerPoint presentations as well. Here's where plotly comes in! The ggplotly() function can be applied to (almost) any ggplot2 object in order to make it interactive, with additional features like toggling which data to show and ability to zoom in and hover on specific data points.