In microarray studies, a common visualisation is a heatmap of gene expression data. For more details, plase refer to the Tree Data Import vignette. Today, we further improve upon it. Demonstrates how you can compare a topic model with itself or other models. R defines the following functions: add_annotations add_fun special_attrs add_trace_classed add_choropleth add_scattergeo add_mesh add_surface add_boxplot add_contour add_heatmap add_histogram2dcontour add_histogram2d add_histogram add_bars add_pie add_area add_ribbons add_table add_sf add_polygons add_segments add_lines add_paths add_text add_markers add_trace add_data. It's also called a false colored image, where data values are transformed to color scale. Clustergrammer is a web-based visualization tool with interactive features such as: zooming, panning, filtering, reordering, sharing, performing enrichment analysis, and providing dynamic gene. (c) Appearance consistency heatmap of this image. A Grammar of Animated Graphics. 2 and has for me the right balance of options and extensibility. Combine two Heat Maps in Matplotlib; Generate a Heatmap in Matplotlib using Pandas Data; How to choose bins in Matplotlib histogram? Bar chart with different color of bars; Plot histogram basic example in Matplotlib; Plotting all available markers at random coordinates in Matplotlib; Plot histogram with specific color, edge color and line width. js is a charting library based on d3. This is often referred to as a heatmap. A heatmap is basically a table that has colors in place of numbers. Plotly provides visually appealing and interactive graphics that can readily be shared with colleagues, pasted into websites and shared publicly. util import color_intervals , process_cmap # Constants # --------- # Trace types that are individually positioned with their own domain. I added a combobox to the MainWindow that is bound to a ColorMap property. import plotly. The goal is to separate the pre-processing of the heatmap elements from the graphical rendering of the object, which could be done (Please submit an issue on github if you have a feature that you wish to have added) heatmaply_na is a wrapper for 'heatmaply' which comes with defaults that are better for. an asterisk is put after packages in dbs format, which may then contain localized files. heatmaps ggplot style, with annotations and dendrograms - ggheatmap. The heatmap() function accepts a dataframe with columns as well as row headers. You can vote up the examples you like or vote down the ones you don't like. Do you know about Python Numpy. PCA with custom plotly style annotation element | Download. Add one annotation Once you have the data frame, make the plot, and use the text function to add an annotation. com provides a central repository where the community can come together to discover and share dashboards. util import color_intervals , process_cmap # Constants # --------- # Trace types that are individually positioned with their own domain. ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. Once you have enabled the plugin, go to Raster ‣ Heatmap ‣ Heatmap. 1 Parallel Plot using Plotly. 13 Parallel Plot. I'm trying to make a annotated heatmap on plotly. These annotations help you to focus on your data’s key points and facilitate data-driven discussions. Gao University of Hawai‘i at Manoa • Statistics for Linguistics The data visualization package ggplot2 is not only a valuable tool for plotting graphs and charts in R, but it also can address spatial data –– any information linked with geographic data (i. Annotated heatmaps¶. iheatmap, main_heatmap, access_component. Inside a gauge the band will wrap around the outer corner of the chart. (title = "Heatmap with Categorical Axis Labels") Heatmap Plotly; Bar; Line and Scatter Plots;. Enter 1000 meters as the Radius. get_figure(). It is a high-level declarative library built on top of d3. pyplot as plt import seaborn as sns sns. Functions for plotting area-proportional two- and three-way Venn diagrams in matplotlib. Data in `z` can either be a {2D array} of values (ragged or not) or a 1D array of values. While plotly provides a native client in python, it requires the user to create an account and by default makes all plots public. Once you understood how to make a heatmap with seaborn and how to make basic customization, you probably want to control the color palette. I added a combobox to the MainWindow that is bound to a ColorMap property. We could look to add an average line, highlight a key data point or even draw a picture. They are used to add fixed reference data to plots. Plotly is built on top of plotly. 0 Date 2019-05-11 Description Create interactive cluster 'heatmaps' that can be saved as a stand-alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Unfortunately, plotly. In this chapter we have only touched on the potential of Plotly as a powerful free tool for creating interactive graphics. Define the layout of the heat-map including custom logo, title, and a custom annotation. One of the best ways to check out potential relationships or correlations amongst the different data attributes is to leverage a pair-wise correlation matrix and depict it as a heatmap. com provides a central repository where the community can come together to discover and share dashboards. Once you have enabled the plugin, go to Raster ‣ Heatmap ‣ Heatmap. Demonstrates how you can compare a topic model with itself or other models. Python source code: [download source: heatmap_annotation. Join our community at discourse. As is so often the case, this will also involve significant investments in time to understand the way Plotly works and in particular the format for the data that works best with Plotly. com/aagarw30/800c4da. However, its added functionality is quite complicated … definitely complicated enough to get me into trouble (e. viewer can be created with a Plotly heatmap (see Fig. Add text annotation in the top-right, top-left etc. We’ll be using a wrapper on plotly called cufflinks designed to work with Pandas dataframes. Help topics Geoms. When I converted it to an annotated heatmap using figure_factory and c…. The plotly Python package is an open-source library built on plotly. Learn important foundational concepts about how Bokeh is organized. An object of class heatmapr includes all the needed information for producing a heatmap. For more information on how to add annotations to your plots, click here!. Plotly's graph description places attributes into two categories: traces (objects that describe a single series of data in a graph like Scatter or Heatmap) and layout attributes that apply to the rest of the chart, like the title, xaxis, or annotations). ExpHeatmap (matrix, gene_annotations=None, sample_annotations=None, colorscale=None, colorbar_label=u'Expression', title=None) [source] ¶ An expression heatmap. Script developed for a workshop at the CUSO doctoral school on the 4th and 5th November 2016. Full source and data. While plotly provides a native client in python, it requires the user to create an account and by default makes all plots public. They are used to add fixed reference data to plots. It has a nicely planned structure to it. Plotly now lets you make 3D scatter, line, and surface plots. One of the best free-to-use libraries to create a variety of responsive, interactive and functionality-rich charts is Plotly. Support for pie charts. js is a charting library based on d3. This is a quick way to make one in R. points, lines, or polygons. Below is an example of a heat map showing the locations of Carl's Jr restaurants. If you want to add annotations to your plot, the 'Notes' section is the place. To be fair, Plotly is built on top of d3. plotly GETTING STARTED 1. Plotly visualizations are built with plotly. js is a high-level, declarative charting library. Enter 1000 meters as the Radius. geom_abline() geom_hline() geom_vline(). The overall goal is to produce a number of. py to generate a figure. D: Specify False Discovery Rate to filter out genes to be used to draw heatmap. Plotly enables users to create dozens of different types of charts, networks and maps, all of which have a basic-level of interactivity where you can zoom, pan, rotate (for 3D plots) and hover your cursor over a data point to see its value(s). TheEngineeringWorld 4,248 views. There’s a lot going on here, but the code is not too verbose (at least I don’t think). I'm going to get into the code as soon as possible here, but just so we're clear about one thing: a heatmap is just a matrix visualized with color gradients. Example Gallery¶ This gallery contains a selection of examples of the plots Altair can create. Enable a core plugin named Heatmap. The annotations on the following snapshot display a comment, an arrow, and a rectangle, to drive a discussion about the low profit values in. js, including line charts, bar charts, bubble charts, and dot. offline import download_plotlyjs, init_notebook_mode, plot, iplot. In addition to using window. Add one annotation Once you have the data frame, make the plot, and use the text function to add an annotation. But, the way you make plots in ggplot2 is very different from base graphics. I add the year and state data to the regular plot_ly function while placing the z data that transforms it into a heatmap in add_heatmap. It has a nicely planned structure to it. This package extends the plotly engine to heatmaps, allowing you to inspect certain values of the data matrix by hovering the mouse over a cell. This is useful for adding small annotations (such as text labels) or if you have your data in vectors, and for some reason don't want to put them in a data frame. you can enter a Plotly colorscale name in colorscale= to get your heatmap as a function of the z-coordinate. Please try again later. Annotation instance or dict with compatible properties annotationdefaults When used in a template (as layout. We will start with an easy example and expand it to be usable as a universal function. height not using currently. The plotly package allows to build interactive charts with the plot_ly() function. To state this simply, the human mind decodes visual data with different levels of precision, depending on how the data were encoded. With ggplot2 you can set annotation coordinates to Inf but I find this only moderately. Some may seem fairly complicated at first glance, but they are built by combining a simple set of declarative building blocks. Add text annotation in the top-right, top-left etc. [28, 23] for the problem. When I converted it to an annotated heatmap using figure_factory and c…. Package ‘heatmaply’ May 12, 2019 Type Package Title Interactive Cluster Heat Maps Using 'plotly' Version 0. Fix annotations edit when dragging from one axis to another [#1403] Fix 3D hover labels for date axes [#1414] Deleting cartesian subplots now clear their corresponding axis titles [#1393] Fix hover for xyz column heatmap trace 'text' [#1417] Fix scattermapbox lines with trailing gaps [#1421]. In this article we have only touched on the potential of Plotly. The series covered seven basic chart types offered by the library. This week we're highlighting another batch of some graphs we love. Create Interactive Charts Using Plotly. They both have the option of color, events, id, label and zIndex. For Collapse Field, choose the taxonomic level at which you would like to view the heatmap. With ggplot2 you can set annotation coordinates to Inf but I find this only moderately useful. js can be used without creating an account and are rendered locally to keep data private. geom_abline() geom_hline() geom_vline(). While plotly provides a native client in python, it requires the user to create an account and by default makes all plots public. Using seaborn to visualize a pandas dataframe. pivot ("month", "year", "passengers") # Draw a heatmap with the numeric values in each cell f, ax = plt. In addition to using window. If we choose the permanent hover label appearance, adding z. This is easy to accomplish in Plotly, where, instead of using graph-clogging annotations, a simple hover reveals the minimum, lower quartile, median, upper quartile, and maximum values. ly library inside the ipython notebook. Thanks, very useful! Still, one criteria is missing: the ability to UPDATE a graph smoothly instead of redrawing it completly (when data change, for minute-updated data, etc. Your #1 resource in the world of programming. jpg is a JPEG file of the heat map of all of the samples included in the data matrix after outlier exclusion, smoothing, ordering based on the latency to paralyse, and centering the color based on the quantile percent that can be set by the user in the parameters section of SwimR. ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. Gao University of Hawai‘i at Manoa • Statistics for Linguistics The data visualization package ggplot2 is not only a valuable tool for plotting graphs and charts in R, but it also can address spatial data –– any information linked with geographic data (i. ( Plotly itself is a graphics company with several products and open-source tools. However, if we aggregated the data a bit to reduce the number of points plotted, this functionality could once again come in handy. Part 3: Top 50 ggplot2 Visualizations - The Master List, applies what was learnt in part 1 and 2 to construct other types of ggplots such as bar charts, boxplots etc. While plotly provides a native client in python, it requires the user to create an account and by default makes all plots public. Click Download button to download table in text file format. Click OK, and a new tab will open with the heatmap at the desired level. 58 registered extensions available to explore plotly true gganimate Star. Create Interactive Charts Using Plotly. _annotated_heatmap: create_annotated_heatmap(z, x=None, y=None, annotation_text=None, colorscale='Plasma', font_colors=None, showscale=False, reversescale=False, **kwargs) BETA function that creates annotated heatmaps This function adds annotations to each cell of the heatmap. Loading Loading. The following are code examples for showing how to use plotly. All the plots aligned with the main heatmap horizontally share the same y axis and thus zooming in the y direction within the heatmap will also zoom in to those subplots. The annotated heatmap can feature 2 text colors: min_text_color and: max_text_color. I often use heatmap. Many draw upon sample datasets compiled by the Vega project. If we choose the permanent hover label appearance, adding z. Confusion matrix¶. The Next Level of Data Visualization in Python: How to make great-looking, fully-interactive plots with a single line of Python The sunk-cost fallacy is one of many harmful cognitive biases to which humans fall prey. corr(), annot=True) Figure 25: Heatmap with annotations Faceting. Here, we'll demonstrate how to draw and arrange a heatmap in R. Plotly-Dash, trying to update graph using the DCC. An object of class heatmapr includes all the needed information for producing a heatmap. Some may seem fairly complicated at first glance, but they are built by combining a simple set of declarative building blocks. The RPub shows a Plotly graph of the ggplot2 NBA heatmap from a Learning R post. ( Plotly itself is a graphics company with several products and open-source tools. The library provides a complete mapping for the configuration options of the underlying libraries and so you get a nice F# interface that gives you access to the full power of Google. R - Heat maps with ggplot2 Heat maps are a very useful graphical tool to better understand or present data stored in matrix in more accessible form. Moreover, since plotly annotations support HTML markup, we can also treat that url as a true HTML hyperlink by wrapping it in an HTML tag. figure_factory. A heat map is a matrix-like plot used to plot the degree of correlation between multiple numerical columns. js annotations very much assume an x/y coordinate system at the moment. Plotly | Python chart attribute reference. js function Plotly. plotly GETTING STARTED 1. It produces similar heatmaps as d3heatmap (or the static heatmap. Continue reading "heatmaply: an R package for creating interactive cluster heatmaps for online publishing" This post on the heatmaply package is based on my recent paper from the journal bioinformatics (a link to a stable DOI). 3 Heat Map with ordering using Corellation using Euclidean distance; 3. Do you have suggestions how to standardize this? Does heatmap. Matplotlib is a welcoming, inclusive project, and we follow the Python Software Foundation Code of Conduct in everything we do. Example of confusion matrix usage to evaluate the quality of the output of a classifier on the iris data set. This web page discusses PLOTLY version. If we choose the permanent hover label appearance, adding z. Dash User Guide and Documentation. Plotting with Basic Glyphs. In this chapter we have provided a brief introduction to Plotly to help you get started with using this tool for patent analytics. Interactive plots using plotly allow you to de-clutter the plotting area, include extra annotation information and create interactive web-based visualizations directly from R. In addition to using window. Plotly; Home page; Getting started; Plotly Charts. This style of map provides a visual illustration of variation across a geographic area. Example Gallery¶ This gallery contains a selection of examples of the plots Altair can create. Plotly enables users to create dozens of different types of charts, networks and maps, all of which have a basic-level of interactivity where you can zoom, pan, rotate (for 3D plots) and hover your cursor over a data point to see its value(s). An example of a gene-MPI heatmap. Annotation: dfreverse = df_hml. The Next Level of Data Visualization in Python: How to make great-looking, fully-interactive plots with a single line of Python The sunk-cost fallacy is one of many harmful cognitive biases to which humans fall prey. Percentage can be set to draw heatmap with top n% of filtered genes. Neither Python/plottly nor Python/bokeh based. 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. Unfortunately, plotly. I add the year and state data to the regular plot_ly function while placing the z data that transforms it into a heatmap in add_heatmap. js (and stack. A number of exciting improvements have been added, just to name a few: select/lasso events for scattergl/scattermapbox trace types, 3D annotations, contour labelling, and even touch events on mobile. source name, for use with shiny. Version 2 of PLOTLY has been released, and there are substantial differences in the look of the interface. height not using currently. The guide is arranged by topic: Quickstart. The Dash Bio Clustergram component is a Python-based component that uses plotly. Clustergrammer is a web-based visualization tool with interactive features such as: zooming, panning, filtering, reordering, sharing, performing enrichment analysis, and providing dynamic gene. The heatmap() function of the Seaborn library is used to plot heatmaps. 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. Example of plotly figures ()Plotly Brief Overview. get_figure() for keyword arguments. Gao University of Hawai‘i at Manoa • Statistics for Linguistics The data visualization package ggplot2 is not only a valuable tool for plotting graphs and charts in R, but it also can address spatial data –– any information linked with geographic data (i. js ships with over 20 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. Graph Plotting in Python | Set 1. js which in turn is built on d3. iplot(yrange=[5,15]) layout_update can be set in iplot and getLayout to explicitly update any Layout value; v0. This is often referred to as a heatmap. A number of exciting improvements have been added, just to name a few: select/lasso events for scattergl/scattermapbox trace types, 3D annotations, contour labelling, and even touch events on mobile. Data Analytics Frameworks encourage sharing of clusters for execution of mixed workloads by promising fairness and isolation along with high performance and resource utilization. If you want to add annotations to your plot, the 'Notes' section is the place. Annotation: dfreverse = df_hml. The diagonal elements represent the number of points for which the predicted label is equal to the true label, while off-diagonal elements are those that are mislabeled by the classifier. ) If this is not logical, at should also be supplied and of the same length. table() or read. Supported dict properties: angularaxis plotly. Once you have enabled the plugin, go to Raster ‣ Heatmap ‣ Heatmap. It produces similar heatmaps as d3heatmap (or the static heatmap. hehe, yeah, that’s a “hack” to draw the annotations for the heights. There's not an out of the box implementation. If someone wants to revisit that patch, modernize it (use AMD and modern APIs), and submit a pull request that includes tests, I'll review it and consider it for 1. Last week, we created a simple Pie Chart using the Plotly library and the Olympics dataset. Plot them on canvas using. 2, which is good if you already know the latter. برای اینکه در بتوانید Jupyter Notebook از این کتابخانه استفاده کنید، آن را با استفاده از. com provides a central repository where the community can come together to discover and share dashboards. این کتابخانه توسط شرکت Plotly به صورت «متن-باز» (Open Source) تهیه شده و امکان ترسیم نمودارهای مختلفی را میسر می‌سازد. R defines the following functions: add_annotations add_fun special_attrs add_trace_classed add_choropleth add_scattergeo add_mesh add_surface add_boxplot add_contour add_heatmap add_histogram2dcontour add_histogram2d add_histogram add_bars add_pie add_area add_ribbons add_table add_sf add_polygons add_segments add_lines add_paths add_text add_markers add_trace add_data. get_heatmap(). This is a shortcut for SignatureMatrix. Version 2 of PLOTLY has been released, and there are substantial differences in the look of the interface. y is the height of the bridge. Data in `z` can either be a {2D array} of values (ragged or not) or a 1D array of values. 2 from gplots), with the advantage of more features such as speed (plotly. Each column can be a. Plotly visualizations are built with plotly. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. The goal is to separate the pre-processing of the heatmap elements from the graphical rendering of the object, which could be done (Please submit an issue on github if you have a feature that you wish to have added) heatmaply_na is a wrapper for 'heatmaply' which comes with defaults that are better for. C: Shows DEG analysis table of genes used to create heatmap. js and stack. It is an extension to ggplot2 [] specifically for the plotting of ternary diagrams. iheatmap, main_heatmap, access_component. Sets the annotation's vertical position anchor This anchor binds the y position to the top, middle or bottom of the annotation. Single repository for all WestGrid training materials. I have also found it difficult to produce high quality plots. The series covered seven basic chart types offered by the library. It has a nicely planned structure to it. Plotly Heatmaps. The user can choose between a variety of diverging and sequential color schemes ( 11 ). Fix annotations edit when dragging from one axis to another [#1403] Fix 3D hover labels for date axes [#1414] Deleting cartesian subplots now clear their corresponding axis titles [#1393] Fix hover for xyz column heatmap trace 'text' [#1417] Fix scattermapbox lines with trailing gaps [#1421]. 2 {gplots} because of its many improvements/options over the standard heatmap function. js which in turn is built on d3. plotly: as described above, plotly allows to turn any heatmap made with ggplot2 interactive. Plotly-Dash, trying to update graph using the DCC. R produce excellent quality graphs for data analysis, science and business presentation, publications and other purposes. Plotly: Plotly is another free online data visualization tool. A heatmap is another way to visualize hierarchical clustering. Some pertinent uses are population density, economic measurements, crime statistics, and election results. x is the middle between the two connected clusters (so the middle between the vertical lines). ) If this is not logical, at should also be supplied and of the same length. Plotly Cheatsheet (handy for creating quick visualizations Read more. categorical. Download and install plotly. If you want to add annotations to your plot, the 'Notes' section is the place. py] import matplotlib. org to get help, discuss contributing & development, and share your work. PLOTLY is an interactive browser-based plotting system that is accessible at https://plot. The diagonal elements represent the number of points for which the predicted label is equal to the true label, while off-diagonal elements are those that are mislabeled by the classifier. The series covered seven basic chart types offered by the library. To state this simply, the human mind decodes visual data with different levels of precision, depending on how the data were encoded. js, Part 1: Getting Started. To be clear, this isn’t so much problem of the heatmap itself, but rather, this is an artifact of the human brain and how it encodes and decodes visual data. PCA with custom plotly style annotation element | Download. This boxplot uses as little non-data ink as possible – existing ink is used to represent as much new information as possible. Neither Python/plottly nor Python/bokeh based. User Guide¶ This user guide is intended to walk you through many common tasks that you might want to accomplish using Bokeh. It is a high-level declarative library built on top of d3. While plotly provides a native client in python, it requires the user to create an account and by default makes all plots public. plot() function. I’ll use ExAC’s functional gene constraint data to create a scatter plot; if you are interested in the data, check out ExAC’s FAQ. This one follows the syntax of heatmap. iheatmapr also contains a function (iheatmap) to make a fairly standard heatmap with optional dendrograms and row or column annotation heatmaps (See vignette). Faceting is the act of breaking data variables up across multiple subplots and combining those subplots into a single figure. ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. For two categorical variables, the plot produced is a heatmap representation of the contingency table. source name, for use with shiny. In this chapter we have provided a brief introduction to Plotly to help you get started with using this tool for patent analytics. , in the second option above, my annotation legend runs into my heat map and I've lost the main legend). from bokeh. Want to get started with Google Analytics and Plotly, but do not know how? In this article we will make our own graphs using GA, Python, Pandas and Plotly. 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. Signature: (applyStyle:(Annotation -> Annotation)) -> Annotation Init Annotation type. ly plots that are autosized don't look very good and I have tried to manually tweak them but they always get chopped up in the vertical direction of the note. This work is based on the ggplot2 and plotly. ly library inside the ipython notebook. With the y-axis it will form a circle and fill the given area. They are extracted from open source Python projects. R produce excellent quality graphs for data analysis, science and business presentation, publications and other purposes. load_dataset ("flights") flights = flights_long. A Simple Python Heatmap Example. Plotting in Julia. The RPub shows a Plotly graph of the ggplot2 NBA heatmap from a Learning R post. The goal is to separate the pre-processing of the heatmap elements from the graphical rendering of the object, which could be done. Try: to zoom, to hover, to export to png and to slide axis. I believe, this article itself is sufficient to get started with plotly in whichever language you prefer: R or Python. This package extends the plotly engine to heatmaps, allowing you to inspect certain values of the data matrix by hovering the mouse over a cell. Each column can be a. It allows you to plot manually entered data or imported CSV or Excel files. This is an Axes-level function and will draw the heatmap into the currently-active Axes if none is provided to the ax argument. We'll be using a wrapper on plotly called cufflinks designed to work with Pandas dataframes. 2, which is good if you already know the latter. Fortunately, this is a great time for Python plotting, and after exploring the options, a clear winner - in terms of ease-of-use, documentation, and functionality - is the plotly Python library. I add the year and state data to the regular plot_ly function while placing the z data that transforms it into a heatmap in add_heatmap. You can set up Plotly to work in online or offline mode, or in jupyter notebooks. Even though I'm pushing the annotation outside of the plot, plotly doesn't add any more y ticks. I added a combobox to the MainWindow that is bound to a ColorMap property. 8 (5 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. Part 3: Top 50 ggplot2 Visualizations - The Master List, applies what was learnt in part 1 and 2 to construct other types of ggplots such as bar charts, boxplots etc. This week we're highlighting another batch of some graphs we love. The Figure object creates the final object to be plotted. Support for pie charts. Source code for holoviews. plotly GETTING STARTED 1. js offers a lot of features that make learning about the library worth the effort. This is useful for adding small annotations (such as text labels) or if you have your data in vectors, and for some reason don't want to put them in a data frame. R produce excellent quality graphs for data analysis, science and business presentation, publications and other purposes.