Plotly Multiple Plots

If we wanted to see multiple density plots side-by-side, we could facet our plot, but there is another alternative. This is not because of a lack of options, but a lack of instruction about how to access these options. These resources show how to take data from a single Pandas DataFrame and plot different columns subplots on a Plotly graph. I tried getOption to see what device it was calling - I got the following:. 6)[z]) plot(x, y, pch = 15, col = rainbow(4, start = 0. Which axes can I x and which need to vary? Would a log. 1999-04-01. (5) 그래프 모수 : 그래프 영역 (plot area, inner margin area, outer margin area, multiple plot layout) 에 대해서 소개하도록 하겠습니다. When might you use a 3D plot? When you have data with three dimensions–x, y, and z data. Combine Plots in Same Axes. Once you load the library as followed, you can use the members of the Chart type to easily build charts. Lines starting with ## are meant to document the result which R will return. For something similar to the above animation, I recommend taking a look at this example. ly's Servers and create beautiful graphs. Leading developer of interactive, open-source graphing libraries for science, engineering, and finance. If you are looking for Xyz Graph Maker you've come to the right place. Use this option with any of the input argument combinations in the previous syntaxes. R tutorials, multiple curves, multiple plots, same plot R. These are the options/functionalities which make plotly plots more interactive, you save/download the plot as image, can use zoom in and out function not just these but you can play with the axis values too and get a new plot. pyplot is a collection of command style functions that make matplotlib work like MATLAB. I am trying to plot them using plotly r. Cone Plots in Plotly with Python. When these interaction events occur, the mouse coordinates will be sent to the server as input$ variables, as specified by click, dblclick, hover, or brush. Plotly (https://plot. When NULL, as per default, the grid aligns with the tick marks on the corresponding default axis (i. plot() returns (static) matplotlib objects, and we do already have the cufflinks library which adds a similar pandas. For simple scatter plots, plot. If a single value is provided, it will be used as all four margins. extendTraces. Create the first plot using the plot() function. Pie and Chart. Kickstarting R - Plotting more than one data series. A plot where the columns sum up to 100%. Doughnut functions. For line graphs, the data points must be grouped so that it knows which points to connect. An R script is available in the next section to install the package. In order to make a plot, I need to give plotly a list of values. ticker formatters and locators as desired since the two axes are independent. Unlike the open-source JFreeChart and Waterloo plotting libraries that were described here in the past, Plotly is a commercial (not open-source) service. If it isn’t suitable for your needs, you can copy and modify it. If you are following along closely, you may notice that I am importing the plotly. You can make and embed graphs and create interactive dashboards like these with our free online product or Plotly Enterprise. Limitation on drawing string value on plot. Hallo, I am new to shiny and have finished a few tutorials but one thing is still unclear for me. Summary: This example shows how to create contour plot in F#. There are a number of different ways you may want to scope the cache. Draw a plot of two variables with bivariate and univariate graphs. The legend() method adds the legend to the plot. This post explains how to build a line chart with dual Y axis with R. Make bar charts, histograms, box plots, scatter plots, line graphs, dot plots, and more. This issue was created in June, 2017 and we’ve come a long way since then. Plotly (https://plot. #Setting plotly credentials plotly. This post was inspired by Edward Tufte, a data visualization expert who has written about these and many more graphs. 0% come directly and 5. ; Helton, J. Screenshots. You want to put multiple graphs on one page. Before using multiple add_*() in a single plot, make sure that you actually want to show those layers of information on the same set of axes. There are multiple ways to solve this common statistical problem in R by estimating trend lines. Clone via HTTPS Clone with Git or checkout with SVN using the repository’s web address. Finally the plotly package also gives us the ability to make plots interactive which can be a real advantage with athletes that can live on their phones/ipads. A random subset of a specified size is selected from a data set, the statistic in question is computed for this subset and the process is repeated a specified number of times. If you try to create a second legend using plt. As I was going through this article, I felt that it was easier to use the plotly graph object since there were a lot more examples of using it than there were the plain dcc. If you are new to plotly, consider first reading our introductory post: Introduction to Interactive Graphics in R with plotly Often when analyzing data, it is necessary to produce a complex plot that requires multiple graphical layers. If the plot is saved as 'Private', only you and your collaborators will be able to see it. , tickmarks as computed by axTicks). They use hold on and plot the data series. These are Bokeh documents that are not backed by a Bokeh server. Download the file for your platform. Similar to the example above but: normalize the values by dividing by the total amounts. 0; osx-64 v2. groupby(), using lambda functions and pivot tables, and sorting and sampling data. A carpet plot is any of a few different specific types of plot. 1 Working with Multiple Data Frames. a list of plotly/ggplot2 objects. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. Scatter function from plotly. While qplot provides a quick plot with less flexibility, ggplot supports layered graphics and provides control over each and every aesthetic of the graph. The data are represented in a matrix with 100 rows (representing 100 different people), and 4 columns representing scores on the different questions. An individual ggplot object contains multiple pieces - axes, plot panel(s), titles, legends -, and their layout is defined and enforced via the gtable package, itself built around the lower-level grid package. Bootstrap Plot¶ Bootstrap plots are used to visually assess the uncertainty of a statistic, such as mean, median, midrange, etc. panel plot 1. Multiple Legends¶ Sometimes when designing a plot you'd like to add multiple legends to the same axes. Unfortunate, because gridExtra is very powerful and flexible, but the ggplot translation mechanism doesn't seem to be able to handle it. But this can be very useful when you need to create just the titles and axes, and plot the data later using points(), lines(), or any of the other graphical functions. Adding time to a plot and adventures in smoothing The following plots and instructions show how to put several figures on a page, give an overall label to the page, and to make time the axis. A pie or a doughnut chart can be created using the Chart. For the following example, we will use tabular data from the example cantilever beam problem, which can be generated by following the tutorial in Chapter 6. Saving Plots in R Originally for Statistics 133, by Phil Spector Since R runs on so many different operating systems, and supports so many different graphics formats, it's not surprising that there are a variety of ways of saving your plots, depending on what operating system you are using, what you plan to do with the graph, and whether you're. How to Make Multiple Y-Axes Plots in Chart Studio. The above solutions may not be efficient if you want to plot multiple ggplot plots using a loop (e. I'm interested in creating figures from separate DataFrames and plotting. Generic function for plotting of R objects. Saving, showing, clearing, … your plots: show the plot, save one or more figures to, for example, pdf files, clear the axes, clear the figure or close the plot, etc. I am following this link to study https://plot. Learn how the bty argument of the par() function allows to custom the box around base R plot. Have several series of data I want to plot on the same chart: Series A X Y 4015188 7361762 4020374 9581526 4022289 10649655 4023878 11223132 4025512 12035416 4028600 13408580 4030353 1423. Email Reports - Plotly. When these interaction events occur, the mouse coordinates will be sent to the server as input$ variables, as specified by click, dblclick, hover, or brush. The data are represented in a matrix with 100 rows (representing 100 different people), and 4 columns representing scores on the different questions. plotly can use maps created. Exporting nice plots from R. Plotly's R graphing library makes interactive, publication-quality graphs online. It seems that in python you have matplotlib which is fully integrated into pandas and you have seaborn which provides some pretty default setting for most of matplotlib’s standard graph types. Shiny applications inherit the default visual theme of the Bootstrap web framework upon which Shiny is based. What your plotly shows is a grouped bar chart. They also support log axes, date axes, multiple axes and subplots. Plotly is a data visualization company that makes it easy to build, test, and deploy beautiful interactive web apps, charts and graphs—in any programming language. We need two traces before we introduce the multiple y-axes feature, so we'll click the blue '+Trace' button on the right-hand side of the panel to add the second trace. by Praveen Dubey. Plotly's R graphing library makes interactive, publication-quality graphs. When data are not available as tidy dataframes, it is possible to use the more generic go. The list of alternatives was updated May 2019. By default all columns have an equal relative width. Transitions to 3D plots from heatmaps and contour plots are possible from the Plotly web. The resulting plot will also be interactive so that we can rotate the visualization using a mouse to look at it from different angles. I want to improve my code. This post was inspired by Edward Tufte, a data visualization expert who has written about these and many more graphs. Plotly: Multiple plots with 'linked' interactivity. Text tutorials and sample code: https://pythonprog. For complicated reasons, I would like each chart in a separate module and be reactive to. One way that you might want to use the Bokeh server is during exploratory data analysis, possibly in a Jupyter notebook. When might you use a 3D plot? When you have data with three dimensions-x, y, and z data. This post has five examples. When the PCH is 21-25, the parameter "col=" and "bg=" should be specified. Plotly was the big business intelligence killer we'd been waiting for. Tap into the extensive visualization functionality enabled by the Plots ecosystem, and easily build your own complex graphics components with recipes. Interactive comparison of Python plotting libraries for exploratory data analysis. How to plot multiple data series in R? I usually use ggplot2 to plot multiple data series, but if I don't use ggplot2, there are TWO simple ways to plot multiple data series in R. 2nd independent variable, etc. MatPlotLib Tutorial. What your plotly shows is a grouped bar chart. What comparison do I want to emphasize? 2. When a new plot request was made any existing plot control window was destroyed and replaced by the result from the new plot request. To put multiple plots on the same graphics pages in R, you can use the graphics parameter mfrow or mfcol. Also I want to have a highlighter by selecting a Coil_ID I want to see where this or these selections are in my plot. Each line represents a set of values, for example one set per group. You can also use this same keyboard shortcut to quickly search for commands that match a given prefix. Match the value of this string with the source argument in event_data() to retrieve the event data corresponding to a specific plot (shiny apps can have multiple plots) arguments passed onto methods. For simple scatter plots, plot. The following are code examples for showing how to use plotly. You can vote up the examples you like or vote down the ones you don't like. Autocorrelation Plots. Check us out at https://plot. Manager of Technology Investments @ Invesco Dash has given our quant team a powerful framework for next generation analytical apps. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars. Leading developer of interactive, open-source graphing libraries for science, engineering, and finance. Ploting multiple graphs in single one page (or canvas) with classic R command is straightforward and easy. figure_factory as ff from plotly. subplot() command. Use plots to visualize data. js so you can leverage more specialized chart types (e. close() on the figures you are not using, because this will enable pyplot to properly clean up the memory. Plotly has a really nice idea and implementation, but requirement for authentication and limited number of private plots reduce the usability a lot. I am following this link to study https://plot. For more details about the graphical parameter arguments, see par. any number of plotly/ggplot2 objects. These resources show how to take data from a single Pandas DataFrame and plot different columns subplots on a Plotly graph. How to create live graphs in Python with Dash, the browser-based data visualization application framework. Today, I wish to welcome Andrey Dimitrov, a plot. So What is Plotly: is an R package for Multiple plot windows, plot history with plot thumbnails for navigation. Plotly graphs are great, but customising them can often be a pain. conda install linux-64 v2. Time series plots in R with lattice & ggplot I recently coauthored a couple of papers on trends in environmental data (Curtis and Simpson; Monteith et al. Multiple overlaid line graphs Commands to reproduce: PDF doc entries:. If the layout is something like matrix(c(1,2,3,3), nrow=2, byrow=TRUE), then plot 1 will go in the upper left, 2 will go in the upper right, and 3 will go all the way across the bottom. I'll go over both today. This section also include stacked barplot and grouped barplot where two levels of grouping are shown. Unfortunately, Matplotlib does not make this easy: via the standard legend interface, it is only possible to create a single legend for the entire plot. There are several commands which will direct output to a file instead of the screen. As per my requirement ,I have sample data of the formdata. Google’s Motion charts are cool and useful, but otherwise the input data format logic that differs from the packages makes using the package too hard in practice. Q&A for Work. We'll show you how in this article as well as how to visualize it using the Plotly package. Cheers - yes I’m replacing a ggplot, but would like to have a native plotly implementation (ie. It is mainly used in data analysis as well as financial analysis. If it makes sense to display the information on the same axes, consider making multiple plotly objects and combining them into as grid-like layout using subplot(), as described in Chapter 13. What comparison do I want to emphasize? 2. I want them to be side by side not overlapping. js — an open source graphing library Source: Unsplash Plotly. com Contact; Add Title for a Page with Multiple Plots in R You may want to add a title for a plot page that contains multiple diagrams. ts the series can have a different time bases, but they should have the same frequency. There are actually 4 different ways to render sf objects with plotly: plot_ly(), plot_mapbox(), plot_geo(), and via ggplot2’s geom_sf(). ; In Databricks Runtime 6. For the subsequent plots, do not use the plot() function, which will overwrite the existing plot. A dot plot of 50 random values from 0 to 9. 5 Multiple Datasets For plots that have multiple sets of data, you can capture data for one dataset, export the CSV file, then clear all the data points and start over to collect data for the next set. It was developed by John Hunter in 2002. plot(x,y), where x and y are arrays of the same length that specify the (x;y) pairs that form the line. To do this, define a column list containing a single column name 'Dew Point (deg F)', and call df[column_list1]. The plot_ly() function provides a more direct interface to plotly. The plot below consists of three layers. An R script is available in the next section to install the package. Scatter can be used both for plotting points (makers) or lines, depending on the value of mode. I often have to to plot multiple time-series with different scale of values for comparative purposes, and although placing them in different rows are useful, placing on a same graph is still useful sometimes… I searched a bit about this, and found some nice suggestions for 2 Y-axis, but haven't found anything for more 2+. I often have multiple things that could change the state of some component and putting the logic for all of them in a single callback makes code development and maintenance awkward, since they aren’t logically related actions. Learn more about matlab, plots, excel MATLAB. ly as follows: Session Duration - 03:28 minutes; 3. With Illustrations from the Financial Markets. [AX,H1,H2] = plotyy(___) returns the handles of the two axes created in AX and the handles of the graphics objects from each plot in H1 and H2. By default all plots are made publicly visible to anyone, but there apparently is a way to produce private plots as well, with a limit in their number in the free account. We can explicitly define the grid, the x and y axis scale and labels, title and display options. This tutorial explains matplotlib's way of making python plot, like scatterplots, bar charts and customize th components like figure, subplots, legend, title. io Find an R package R language docs Run R in your browser R Notebooks. py is the library that powers graphs and maps for Dash. 0; osx-64 v2. View Eduardo Merchant Soto Hay’s profile on LinkedIn, the world's largest professional community. See image of the challenges scatter plots show when plotted on same x axis. They also support log axes, date axes, multiple axes and subplots. Multiple plots in one page. How to Make Boxplots with Pandas Python’s pandas have some plotting capabilities. The Vennerable package provides routines to compute and plot Venn diagrams, includ- ing the classic two- and three-circle diagrams but also a variety of others with different properties and for up to seven sets. 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. ly, who will describe the integration of Plotly graphs and charts in Matlab. plot(x, y). This post was inspired by Edward Tufte, a data visualization expert who has written about these and many more graphs. plotly is an interactive visualization library. Multiple Plot and saving as jpg. To see more of the R is Not So Hard! tutorial series, visit our R Resource page. Plotly Line and Scatter Plots. nim-plotly: simple plots in nim This is a functioning plotting library. For instance, with the following Pandas data frame, I'd like to see how. Pie chart is probably one of the most common type of chart. com Contact; Add Title for a Page with Multiple Plots in R You may want to add a title for a plot page that contains multiple diagrams. GitHub Gist: instantly share code, notes, and snippets. I would really appreciate any suggestions. A collection of scripts and examples created while answering questions from the greater Dash community - plotly/dash-recipes. So What is Plotly: is an R package for Multiple plot windows, plot history with plot thumbnails for navigation. Plotly's R graphing library makes interactive, publication-quality graphs online. The PCA plot (pcaplot) currently is showing all the values, disregarding the different variables (Var: colless, lambdaE, lambdaR, Landscape, Numsp, Repulsion, Spatial). So here's my. py (also known as the plotly module) is now available for download from PyPI. For something similar to the above animation, I recommend taking a look at this example. Adding points or lines to a plot If you only want to overlay data series on the same axes, it is sufficient to specify that you don't want to "erase" the first plot and suppress display of the axes after the first plot:. As you can see from the picture below I have a dataset filtered by date, exit_width and exit_thickness. Plotly is a data visualization company that makes it easy to build, test, and deploy beautiful interactive web apps, charts and graphs—in any programming language. the title() function can also be used. The Plotly idea, of generating online interactive graphs, is radically different from Matlab’s standard static plots and deserves a second look. As such, visualization is an indispensable method in any data scientist’s toolbox. close() on the figures you are not using, because this will enable pyplot to properly clean up the memory. Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery. 700+ pages of professional hints and tricks. The QGIS “Data Plotly” plugin (developed by Faunalia) allows for creation of D3-like interactive plots directly within QGIS, using the feature-rich and mature Plotly library. Download the file for your platform. py generates rich Python classes from the chart schema with great docstrings. The plot looks like this: In many cases, the most interesting points on a graph are the ones that don't follow the usual relationships. I just want to have multiple bar charts side by side with a long x-axis where x-axis ticks repeat based on the number of bar charts and y-axis which is shared along bar charts and is placed on the leftmost side of the graph. com Contact; Add Title for a Page with Multiple Plots in R You may want to add a title for a plot page that contains multiple diagrams. A standard deviation plot can then be generated with these groups to see if the standard deviation is increasing or decreasing over time. Using plotly, interactive plots can easily be shared online with multiple people. Good Morning, I have 3 sets of data, all with the same horizontal axis but with varying vertical input. For more examples of plotting with Sage, see Solving Differential Equations and Maxima, and also the Sage Constructions documentation. The Plotly-Shiny client has been updated with the 2. Plotly and ggplot2 are inherently for different purposes. Plotly has a really nice idea and implementation, but requirement for authentication and limited number of private plots reduce the usability a lot. The post 15 Questions All R Users Have About Plots appeared first on The DataCamp Blog. The pos and offset arguments can be used in conjunction with values returned by identify to recreate an interactively labelled plot. Automatically plots xts time series objects (or any object convertible to xts). Plot several time series on a common plot. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib. py is the library that powers graphs and maps for Dash. Bokeh plot is not as interactive as Plotly. I looked at the ggplot2 documentation but could not find this. It is a circular graphic which is divided into slices to illustrate numerical proportion. Ainsi si on prend les données iris se trouvant dans R, on dessine un box-plot standard en utilisant les 4 variables quantitatives du jeu de données :. Plotly has a really nice idea and implementation, but requirement for authentication and limited number of private plots reduce the usability a lot. But this can be very useful when you need to create just the titles and axes, and plot the data later using points(), lines(), or any of the other graphical functions. We’ll pass the chart element ID, follow by the data object. Almost everything in Plots is done by specifying plot attributes. How to plot multiple datasets. The plotly service (at https://plot. Which axes can I x and which need to vary? Would a log. Learn the best binary options trading strategies. graph_objs in this example whereas the documentation uses dcc. Bug tracker Roadmap (vote for features) About Docs Service status. This plot was made using ggplot2's time scale. plotly is a Python library which is used to design graphs, especially interactive graphs. This tutorial illustrates how we can combine subplots to make one single plot. nrows: number of rows for laying out plots in a grid-like structure. Line chart example The example below will create a line chart. To plot more than one curve on a single plot in R, we proceed as follows. Each of the graphs have a measurement in meters on each of the axes. (Its not setting the axes automatically for the x1,y1 and x2,y2) Please suggest me how to proceed. I left this out of the initial release because I thought that it would cause some confusion among users (mainly: when do you use multiple callbacks vs multiple outputs) and I wanted to keep the surface area as small as possible for the initial release. GridSpec() is the best tool. This is the website for “Interactive web-based data visualization with R, plotly, and shiny”. Follow See responses (20). Try to reset the workflow once more, select both the Interactive Table and the Histogram (interactive) nodes, then click on Execute selected nodes and open first view. Each line represents a set of values, for example one set per group. Make two or more graphs have the same scale. Plotting multiple graphs together can be useful to give meaning to data while also providing a more attractive visual. com Contact; Add Title for a Page with Multiple Plots in R You may want to add a title for a plot page that contains multiple diagrams. Matplotlib Tutorial: Python Plotting. Time series plots in R with lattice & ggplot I recently coauthored a couple of papers on trends in environmental data (Curtis and Simpson; Monteith et al. It also shows how to customize the appearance of the axes text by changing the font size. If the layout is something like matrix(c(1,2,3,3), nrow=2, byrow=TRUE), then plot 1 will go in the upper left, 2 will go in the upper right, and 3 will go all the way across the bottom. Plotly Line and Scatter Plots. Here, call ggplot using longitude, latitude, and group, and geom_polygon to color counties by the winning candidate. In this post we will show how to make 3D plots with ggplot2 and Plotly's R API. Multiple Y-axis in a R plot I often have to to plot multiple time-series with different scale of values for comparative purposes, and although placing them in different rows are useful, placing on a same graph is still useful sometimes. Additionally, you can use Categorical types for the grouping variables to control the order of plot elements. graph for the simple cases. Dash is a Python framework for building analytical web apps in Python. What you need to do, is go to. 1 Introduction 1 1. So we know that matplotlib is awesome for generating graphs and figures. Another excellent feature of lattice is the ability to span plots over multiple pages, using the layout argument (which is a vector specifying the required number of columns, rows & pages for the plot panels). 2/19/2015 Beautiful plotting in R: A ggplot2 cheatsheet | Technical Tidbits From Spatial Analysis & Data Science * Last updated February 4, 2015 (new: smooths. 9 percent of visits to this site come from a search engine, while 23. Plotly examples. It includes some exciting new…. As such, visualization is an indispensable method in any data scientist’s toolbox. A random subset of a specified size is selected from a data set, the statistic in question is computed for this subset and the process is repeated a specified number of times. The pos and offset arguments can be used in conjunction with values returned by identify to recreate an interactively labelled plot. Multiple Chart Types in Python How to design figures with multiple chart types in python. I left this out of the initial release because I thought that it would cause some confusion among users (mainly: when do you use multiple callbacks vs multiple outputs) and I wanted to keep the surface area as small as possible for the initial release. Multiple Y-axis in a R plot I often have to to plot multiple time-series with different scale of values for comparative purposes, and although placing them in different rows are useful, placing on a same graph is still useful sometimes. Maps, Old Faithful with Multiple Axes, & Overlaid Histograms By Corey Chivers ¶ Posted in Rstats , Uncategorized , visualization ¶ Tagged api , collaboration , datascience , interactive visualization , meetup , plotly , startup ¶ 4 Comments. graph_objs in this example whereas the documentation uses dcc. It provides various features that help with creating publication-quality figures, such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. A stacked barplot is very similar to the grouped barplot above. Welcome the R graph gallery, a collection of charts made with the R programming language. In this case titles are modified during the creation of plot. Matlab users can easily plot multiple data series in the same figure. Commit Score: This score is calculated by counting number of weeks with non-zero commits in the last 1 year period. Plotly's R graphing library makes interactive, publication-quality graphs. Head to our docs to get a key and you can start making, embedding, and sharing plots. off() command to tell R that you are finished plotting; otherwise your graph will not show up. Plotly's sub-plots allow us to plot several different charts on the same figure. The whole idea is to seperate two dense plots so that they are one above the other even if they are of different types, eg, a bar plot and a line plot, a scatter plot and a bar plot, or a bar and a bar depending on the data set being analysed. The data is stored in a pandas dataframe and each row should be a seperate plot. https://plot. Shiny, Plotly R Nano Course Series 01/31/2016 Min Soo Kim Bioinformatics Core Facility Department of Bioinformatics. plot is that it can be used to create scatter plots where the properties of each individual point (size, face color, edge color, etc. Generic function for plotting of R objects. Dash User Guide and Documentation. Kickstarting R - Plotting more than one data series. The whole idea is to seperate two dense plots so that they are one above the other even if they are of different types, eg, a bar plot and a line plot, a scatter plot and a bar plot, or a bar and a bar depending on the data set being analysed. Furthermore, analysis tools for Fractional Factorial designs with 2-level factors are offered (main effects and interaction plots for all factors simultaneously, cube plot for looking at the simultaneous effects of three factors, full or half normal plot, alias structure in a more readable format than with the built-in function alias). Plots - powerful convenience for visualization in Julia. For instance, Markdown is designed to be easier to write and read for text documents and you could write a loop in Pug. The API lets you produce interactive D3. Unlike the open-source JFreeChart and Waterloo plotting libraries that were described here in the past, Plotly is a commercial (not open-source) service. Data points may be labelled if there are few of them. I left this out of the initial release because I thought that it would cause some confusion among users (mainly: when do you use multiple callbacks vs multiple outputs) and I wanted to keep the surface area as small as possible for the initial release. Shiny applications inherit the default visual theme of the Bootstrap web framework upon which Shiny is based. ts the series can have a different time bases, but they should have the same frequency. We however would like to show the PCA plot for each variable scenario. The following are code examples for showing how to use plotly. py generates rich Python classes from the chart schema with great docstrings. Manager of Technology Investments @ Invesco Dash has given our quant team a powerful framework for next generation analytical apps. extendTraces. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: