Plotly Charts R

Make sure your Plotly graphs look as sharp on your desktop computer as they do on your mobile device – our post on mobile charts has the details. Here are some examples to get started. js and Chart Studio. js so you can leverage more specialized chart types (e. Download, Fill In And Print R Cheat Sheet - Plotly - Canada Pdf Online Here For Free. It gives you a lot of control and makes it easy to update charts with revised data. Bar Charts setwd('C:/RClass') The working directory was changed to C:/RClass inside a notebook chunk. The main difference between D3 and Plotly is that Plotly is specifically a charting library. When you are conducting an exploratory analysis of time-series data, you'll need to identify trends while ignoring random fluctuations in your data. Now let’s see if we can change the ScatterPlot to a Bar Chart. js , you learned how to use Chart. Plotly's R library is free and open source! Get started by downloading the client and reading the primer. 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. Install Download and uncompress the Plotly MATLAB library 2. Plotly is powered by popular JavaScript charting library Plotly. The add_histogram() function sends all of the observed values to the browser and lets plotly. First off, thank you! This makes things so much easier haha. In this article, I show how you can add value to your visualizations by making them interactive with efficient packages in R. js perform the binning. py 2019-08-07: plotly-geo: public: geo shape files for use with plotly. Now, you can you can also make 3D plots. js perform the binning. - [Instructor] Plotly provides fairly useful tools…for combining charts together to share the same axes. Export Plotly charts from R to Other documents or web pages. See for yourself: Mayavi Streamtube Example, circa 2008 Plotly Streamtube Example, 2018 So What's a Streamtube? • A streamtube is a tubular region surrounded by streamlines that form a closed loop. In this book, you'll gain insight and practical skills for creating interactive and dynamic web graphics for data analysis from R. So you want to make some charts in R, but you don’t know where to begin. The Power of Bubble Charts. The process is very similar to Plotly. The open source javascript graphing library that powers plotly. For polar chart only. During the talk, Matt mentioned that Plotly visualizations can be embedded into a Shiny application. 1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: 23: 24: 25: 26: 27. If you take just a quick look on this example, you might think it is quite easy to implement and use it. Note: Plotly 4. plotly is an R package for creating interactive web-based charts using the plotly. Histogram chart made in Plotly. I have been using this plotly cheatsheet as and their website for R as references. js, based on d3. 1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: 23: 24: 25: 26: 27: 28: 29: 30: 31: 32: 33: 34: 35: 36: 37: 38: 39. R is great for creating charts. Summary: This example shows how to create three-dimensional scatter charts in F#. Fortunately, the plotly library significantly enhances the design of interactive charts in R, allowing users to hover over data points, zoom into specific areas, pan back and forth through time, and much more. The library is free and open source. Plotly offers more than 30 different chart types. Pediatric growth charts have been used by pediatricians, nurses, and parents to track the growth of infants, children, and adolescents in the United States since 1977. The plotly package allows to build interactive charts directly from R. Pipelines to make most of these charts already exists in Python and R by combining lower level plotly. Hi All, I'm working on an R shiny interface wherein the requirement is to export a plot directly into MS-PowerPoint. js by setting the type attribute to pie. Examples of grouped, stacked, overlaid, and colored bar charts. Conversion of relative sizes depends on the size of the current graphics device (if no device is open, width/height of a new (off-screen) device defaults to 640/480). WithLegend adds the legend that annotates the individual chart series. Time Series Plot. 0 in summer 2019. Growth charts consist of a series of percentile curves that illustrate the distribution of selected body measurements in children. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. We’ve created a sample project with an IPython Notebook that uses Plotly’s widgets to create beautiful interactive charts. Currently we can only support those created in Plotly due to reasons relating to stability, responsiveness, scalability and security. by Matt Sundquist, Plotly Co-founder It's delightfully smooth to publish R code, plots, and presentations to the web. Note that plotly has already been loaded for you. We decided to put together the top 10 most outstanding Plotly charts from 2015 to show you the power of our platform. I ended up using the R plotly library, which worked well. A F# interactive charting library using plotly. The working directory will be reset when the chunk is finished running. values the value to associated with. The images endpoint turns a plot (which may be given in multiple forms) into an image of the desired format. 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. How to build an embeddable interactive line chart with Plotly April 23, 2015 January 21, 2017 Aleszu Bajak How to Recently, and mostly for fun, we were looking at what was happening in major league baseball in 1941. Could someone help me. In this chapter, you will learn how to link your plotly charts to enable linked brushing. Add trace(s) to a plotly visualization add_trace: Add trace(s) to a plotly visualization in plotly: Create Interactive Web Graphics via 'plotly. I have been using this plotly cheatsheet as and their website for R as references. Make charts and dashboards online from CSV or Excel data. Plotly is a d3 based graphing library used to produce interactive and high quality graphs in R. In this post we’ll recreate two info graphics created by The Economist. If you take just a quick look on this example, you might think it is quite easy to implement and use it. js attributes that are available to the scatter trace type and think how you might be able to use them. js (@plotly_js). Flexible Data Ingestion. Using plotly without ggplot2. Further, you will add color to represent the region of the U. js by setting the type attribute to pie. …Let's look at an example of how to do that…in our exercise files. Follow See responses (1). Plotly Open Source Graphing Library supports several programming languages, including Python, Matlab, R, and most importantly Javascript! I've had to build a few dashboards for IoT companies, and. Bar Charts in R How to make a bar chart in R. Plotly implements charting suitable for use from F# scripting. Go to the report in Power BI Service and click the refresh arrow for the Developer Visual. Plotly lets analysts and developers create powerful interactive visualizations, whether offline or right in your browser. 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. Trying to cobble interactive charts together by hand is possible but certainly not desirable when deployment speed is critical. https://plot. I have been using this plotly cheatsheet as and their website for R as references. Both these charts are popular JavaScript libraries for visualizations. Plotly: Polar chart. I have tried adding traces to a graph, but no luck. It allows you to create and store interactive data. As an example, the chart below was created in R using the plotly package. Make charts and dashboards online from CSV or Excel data. Command line application for generating static images of interactive plotly charts plotly PostScript MIT 19 127 63 6 Updated Oct 31, 2019. Plotly Stacked Bar Chart. by Matt Sundquist, Plotly Co-founder It's delightfully smooth to publish R code, plots, and presentations to the web. Let's start with a Time Series Plot. Download, Fill In And Print R Cheat Sheet - Plotly - Canada Pdf Online Here For Free. We will use datasets available in base R packages. ly/r/ Plotly allows you to easily translate your ggplot2 graphics to an interactive web-based version, and also provides bindings to the plotly. 1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: 23: 24: 25: 26: 27: 28. Rectangles R Python plotly. r plotly,plotly r,plotlyr,ploty scatter chart in r,scatter chart using plotly,plotly r library,introduction of plotly charts in R,plotlyr scatter chart,plotlyr scatter chart in shiny. Make sure your Plotly graphs look as sharp on your desktop computer as they do on your mobile device – our post on mobile charts has the details. Create Interactive Charts Using Plotly. The scatterpolar trace type encompasses line charts, scatter charts, text charts, and bubble charts in polar coordinates. When it comes to creating pie charts in R and ggplot2 you need to start with a bar graph from geom_bar() after the initial ggplot() function. A pick of the best R packages for interactive plot and visualisation (2/2) - Enhance Data Science 6th July 2017 at 3:56 pm […] the first part of A pick of the best R packages for interactive plot and visualization, we saw the best packages to do interactive plot in R. When might you use a 3D plot? When you have data with three dimensions-x, y, and z data. Python Plotly. Currently we can only support those created in Plotly due to reasons relating to stability, responsiveness, scalability and security. plotly: Embedding plotly charts into R markdown documents did not work as shown here, but adding session="knitr" to the ggplotly() call solved the issue (thanks to Scott Chamberlain and Marianne Corvellec for help!). Let's build a bar chart to get to know how Plotly works. Plotly Express was released in March 2019, and is in active development, with support for more charts on the way. Plotly's graph description places attributes into two categories: traces (which describe a single series of data in a graph) and layout attributes that apply to the rest of the chart, like the title, xaxis, or annotations). t For polar chart only. You can set up Plotly to work in online or offline mode. That means, all the techniques we learned in Sections 3. From ggplot to plotly: Likert Plots in R. I'm absolutely new to Plotly (in R). A Scatter3d chart report shows a three-dimensional spinnable view of your data. To learn how to embed can't-miss Plotly graphs in Medium, check out our how-to post. Flexible Data Ingestion. It’s easy enough to create a dual-axis chart in Excel, if you want the bars side by side. When creating pie or doughnut charts, it is usually desirable to provide both labels and values. Save the script as week13. Be sure to investigate what happens when you click on the color swatches in the legend. Today we're going to look at a really powerful charting library that is really easy to use and set up. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box. In addition to basic bar charts, you can create more advanced types of plots using Plotly. The cool thing about using the Plotly chart along with the interactive Paper is that it will keep its interactivity so you can zoom in and do all the fun things Plotly allows on their charts even AFTER you publish your Paper. One of the great things about Plotly is that it has APIs for popular data programming languages like R, Python, and Julia. Bar Charts setwd('C:/RClass') The working directory was changed to C:/RClass inside a notebook chunk. It provides abstractions for doing common things (e. Pediatric growth charts have been used by pediatricians, nurses, and parents to track the growth of infants, children, and adolescents in the United States since 1977. Export Plotly charts from R to Other documents or web pages. During my masters' project, I have designed a web app including few statistical and visualization tools. Define your settings: chart Type, X and Y Axis and just enjoy it!. Below are 15 charts created by Plotly users in R and Python - each incorporate buttons, dropdowns, and sliders to facilitate data exploration or convey a data narrative. Data visualization library for F#. Although I use ggplot2 a lot in R, I think that plotly has some good features and the plots look pretty clean for the most part. Learn how to use Plotly with Databricks. js by setting the type attribute to pie. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST. Create a Heatmap using Plotly. Plotly is an excellent graphing package available for R and R Shiny. Scroll histogram charts created by other Plotly users (or switch to desktop to create your own charts). I am trying to plot a line chart using two different data. The good: R can create awesome charts. Plotly lets analysts and developers create powerful interactive visualizations, whether offline or right in your browser. Save the script as week13. I have what is probably a newb question: How do I do area charts? I tried a couple of update statements based on what I do in Plotly Offline, but I'm likely missing something. Make sure your Plotly graphs look as sharp on your desktop computer as they do on your mobile device - our post on mobile charts has the details. Both these charts are popular JavaScript libraries for visualizations. To be fair, Plotly is built on top of d3. Ask Question Asked 2 years, 10 months ago. Download, Fill In And Print R Cheat Sheet - Plotly - Canada Pdf Online Here For Free. Finally I created a dictionary of those lists and then wrapped that dictionary in a list. I personally use plotly a lot and find it really useful. Plotly is an excellent graphing package available for R and R Shiny. Hi All, I'm working on an R shiny interface wherein the requirement is to export a plot directly into MS-PowerPoint. js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. 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. Currently we can only support those created in Plotly due to reasons relating to stability, responsiveness, scalability and security. If you don't have a clue about Plotly, I recommend you to start with these articles. Also, let’s get rid of the Unspecified values. Would I need to create a shiny app to do this?. 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. 2 can re-used for 3D charts:. Plotly Stacked Bar Chart. Bind your local data, and immediately create your chart, without leaving Excel. Be sure to investigate what happens when you click on the color swatches in the legend. Hi, can someone help in exporting Plotly READ MORE. I was able to do the same for line charts, etc but I am facing trouble plotting two pie charts in a single row. Bar Charts setwd('C:/RClass') The working directory was changed to C:/RClass inside a notebook chunk. the importance of the flow. The scatterpolar trace type encompasses line charts, scatter charts, text charts, and bubble charts in polar coordinates. Have a look to data-to-viz. (Guest post by Matt Sundquist on a lovely new service which is pro-actively supporting an API for R) The Plotly R graphing library allows you to create and share interactive, publication-quality plots in your browser. , parallel coordinates or maps) or even some visualization that the ggplot2 API won't ever support (e. WithLabels and Chart. frame1: DAT. 0 in summer 2019. The process is very similar to Plotly. It includes a function ggplotly that converts charts made with ggplot2 directly into Plotly charts. In this post, I am going to compare Seaborn and Plotly using. Read on to see how you can use interactive charts in your own notebooks by using Domino as a central notebook engine — on premise behind your firewall, or in the cloud. We decided to put together the top 10 most outstanding Plotly charts from 2015 to show you the power of our platform. This straightforward tutorial should teach you the. I personally use plotly a lot and find it really useful. Plotly is both a commercial service and open source product for creating high end interactive visualizations. Plotly charts in nteract notebooks using R Published April 6, 2017 April 10, 2017 by Riddhiman in Dashboards , Data Visualization , IPython Notebook , R nteract is an open-source, desktop coding environment built on top of the Jupyter notebook kernel. The add_histogram() function sends all of the observed values to the browser and lets plotly. Plotly does not only generate your charts. js is an open source, high-level charting library built on top of d3. The charts may have looked slick for their time, but it doesn't take a rocket scientist to tell you that we've come a long way. Home Community Categories Data Analytics Export Plotly charts from R to Other documents or. As an example, the chart below was created in R using the plotly package. If you are new to plotly. It supports many types of charts/plots including line charts, bar charts, bubble charts and many more. Share on Twitter Facebook Google+ LinkedIn. In this chapter, you will learn how to link your plotly charts to enable linked brushing. I am trying to create a plotly area chart using r. io Find an R package R language docs Run R in your browser R Notebooks. I have some scripts that use the plotly package that work in RStudio. Finally I created a dictionary of those lists and then wrapped that dictionary in a list. It's easy to add clean, stylish, and flexible dropdowns, buttons, and sliders to Plotly charts. The library is free and open source. In this post we will show how to make 3D. Create Interactive Charts Using Plotly. Sign up to stay in the loop with all things Plotly — from Dash Club to product updates, webinars, and more. 2 demonstrates two ways of creating a basic bar chart. Bind your local data, and immediately create your chart, without leaving Excel. Sample data for data. Plotly Charts provides you with a simple way of analyzing your spreadsheet data using Plotly interactive charts or to embed any existing Plotly chart into your PowerPoint presentation. The series covered seven basic chart types offered by the library. Plotly is an excellent graphing package available for R and R Shiny. The plot_ly() function provides a more direct interface to plotly. Learn how to use Plotly with Databricks. How to build an embeddable interactive line chart with Plotly April 23, 2015 January 21, 2017 Aleszu Bajak How to Recently, and mostly for fun, we were looking at what was happening in major league baseball in 1941. It takes more human effort to perform the binning in R, but doing so has. 5 and Python 3. It provides a service to change style and data of your chart after generation, which is called the chart studio. py is a high-level, declarative charting library. 1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: 23: 24: 25: 26: 27: 28: 29: 30: 31: 32: 33: 34: 35: 36: 37: 38: 39. That’s where Dash comes in. Pareto Charts in R Posted on March 22, 2012 by Nicole Radziwill 5 comments A Pareto Chart is a sorted bar chart that displays the frequency ( or count ) of occurrences that fall in different categories, from greatest frequency on the left to least frequency on the right, with an overlaid line chart that plots the cumulative percentage of. mapping data values to fill colors (via color) or creating animations (via frame)) and sets some different defaults to make the interface feel. js traces (lines, SVG shapes, bars, area fills, etc). However, it appears using plotly with sankey doesnt work. This Plotly tutorial will show you how you can use plotly to easily create stunning data visualizations with R. It has quite a few nifty features that cannot be achieved in, say, Excel or Tableau. , surface, mesh, trisurf, etc). Plotly Express was released in March 2019, and is in active development, with support for more charts on the way. I've searched everywhere on the Internet but couldn't find any relevant link. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Plotly is very interactive charting library for R, Pyhton and couple of other data science related languages and helps producing very interactive charts in R. The confusion may stem from the fact that different sets of rules for identifying non-random variation in run charts are available, and that these sets differ significantly in their diagnostic properties. The R-Plotly documentation is available here. Simply printing the Plotly object will render the chart locally in your web browser or in the R Studio viewer. js now supports candlestick charts as a chart-type and in this post we’ll highlight how to use this feature in R. It provides a service to change style and data of your chart after generation, which is called the chart studio. Examples of grouped, stacked, overlaid, and colored bar charts. Home Community Categories Data Analytics Export Plotly charts from R to Other documents or. The code uses the new Plotly 4. Do I need to know code to create interactive figures? A. The add_histogram() function sends all of the observed values to the browser and lets plotly. A F# interactive charting library using plotly. New to Plotly Shapes in R Version Check How to use shapes in R. In the last post, I have not explained how to create a custom visual for R and Plotly and how to have it inside the power BI. Make charts and dashboards online from CSV or Excel data. With branchvalues "total", the value of the parent represents the width of its wedge. Doug H 122,347 views. range_r (2-element list of numbers) If provided, overrides auto-scaling on the radial axis in polar coordinates. R is great for creating charts. Clone via HTTPS Clone with Git or checkout with SVN using the repository's web address. You can create pie charts in Plotly. 0 has not been officially released yet. Welcome the R graph gallery, a collection of charts made with the R programming language. Bokeh plot is not as interactive as Plotly. The cool thing about using the Plotly chart along with the interactive Paper is that it will keep its interactivity so you can zoom in and do all the fun things Plotly allows on their charts even AFTER you publish your Paper. Unfortunately not at this time. You can publish your charts. Demo covers running simple examples of Plotly from R and then covers how you use your existing code/calls to ggplot2 functions and render it using Plotly. That means, all the techniques we learned in Sections 3. In this chapter, you will learn how to link your plotly charts to enable linked brushing. For example: Shiny makes interactive apps from R. I have been using this plotly cheatsheet as and their website for R as references. Impress your boss, co-workers and friends with interactive, high quality charts and graphs today!. I am trying to create a grouped bar chart in plotly, but I cannot seem to color my bars within a group(so they are all the same color). From ggplot to plotly: Likert Plots in R. As I mentioned in the introductory tutorial of the series, Plotly. Plotly is a d3 based graphing library used to produce interactive and high quality graphs in R. When creating pie or doughnut charts, it is usually desirable to provide both labels and values. js traces (lines, SVG shapes, bars, area fills, etc). The aim was to facilitate bio researcher with a tool to find biochemical differences across the healthy and diseased samples. As it turns out, by simply adding a z attribute plot_ly() will know how to render markers, lines, and paths in three dimensions. The scatterplot matrix, known acronymically as SPLOM, is a relatively uncommon graphical tool that uses multiple scatterplots to determine the correlation (if any) between a series of variables. 2 can re-used for 3D charts:. We can convert the plot into Plotly, allowing anyone to edit the figure from different programming languages or the Plotly web app. js JavaScript library, which powers the Plotly web app that we worked with earlier. The scatterplot matrix, known acronymically as SPLOM, is a relatively uncommon graphical tool that uses multiple scatterplots to determine the correlation (if any) between a series of variables. js wrapper for R. Plotly's R graphing library makes interactive, publication-quality graphs online. In this blog post, we show: · How to make static ggplot2 charts interactive using ggplotly. In this article, I show how you can add value to your visualizations by making them interactive with efficient packages in R. py 2019-07-16: chart-studio: public: Utilities for interfacing with plotly's Chart Studio 2019-07-16: plotlylab: public: A proof-of-concept JupyterLab distribution integrating Plotly technologies 2019-03-25. I've searched everywhere on the Internet but couldn't find any relevant link. Plotly is very interactive charting library for R, Pyhton and couple of other data science related languages and helps producing very interactive charts in R. Also note that we can plot bubble charts in ggplot2 as well. Bind your local data, and immediately create your chart, without leaving Excel. When might you use a 3D plot? When you have data with three dimensions-x, y, and z data. Plotly Express was released in March 2019, and is in active development, with support for more charts on the way. I'm absolutely new to Plotly (in R). I was able to do the same for line charts, etc but I am facing trouble plotting two pie charts in a single row. First off, thank you! This makes things so much easier haha. I have two areas one for actual and one for modeled values. js allows you to create pie, donut and gauge charts by using the same value for the type attribute and changing the value of other attributes depending on the chart you want to create. We will use datasets available in base R packages. In this tutorial you’ll learn how to create a line chart with plot. Plotly's R library is free and open source! Get started by downloading the client and reading the primer. Below is the code I am using right now but it even takes the column month for y-axis. Command line application for generating static images of interactive plotly charts plotly PostScript MIT 19 127 63 6 Updated Oct 31, 2019. We will use Plotly for creating the graph. The R code used to create these plots uses the Plotly mesh3D chart type to build a surface of upward and downward pointing interlaced triangles that link together to form a continuous surface in the plane of the data values. Plotly does not only generate your charts. Control charts or run charts? It is a common misunderstanding that control charts are superior to run charts. Here is a application to area chart, using both the plot_ly() and ggplotly() functions. https://plot. Learn how to use Plotly with Databricks. R - Line Graphs - A line chart is a graph that connects a series of points by drawing line segments between them. I have tried adding traces to a graph, but no luck. the labels (categories) corresponding to values. js, an (MIT licensed) web-based interactive charting library. With branchvalues "total", the value of the parent represents the width of its wedge. Doughnut functions. It allows you to create and store interactive data. Hi All, I'm working on an R shiny interface wherein the requirement is to export a plot directly into MS-PowerPoint. The XPlot library uses the F# |> operator to configure charts. Data — this represents the data that we are trying to plot. That means, all the techniques we learned in Sections 3. Shiny is a web application framework available in RStudio which allows you to create web applications using only R. Hi, can someone help in exporting Plotly READ MORE. The open source javascript graphing library that powers plotly. I will use Plotly 2. Note that plotly has already been loaded for you. We will use datasets available in base R packages. Notes about Plotly. It can create publication-quality charts. To investigate why, lets examine the JSON that plotly sends along to plotly. Line with LineStyle. This function maps R objects to plotly. I have some scripts that use the plotly package that work in RStudio. If you are new to plotly. If you know how to make a ggplot2 chart, you are 10 seconds away to rendering an interactive version= just call the ggplotly() function, and you’re done. js ships with over 40 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. It is basically a list of plots that should be part of the chart. Sets the radial coordinates. These points are ordered in one of their coordinate (usually the. Plotly with R: Plotly is an R package, used for creating interactive web-based graphs via the open source JavaScript graphing library plotly. It gives you a lot of control and makes it easy to update charts with revised data. Need help with plotly - polar scatter chart Hello people! I am not super great with rstudio and I need to make a chart and I need to make a chart depicting how ant-hills are located in relation to the closest nearby tree, I have rather large data-set i collected with the distance to the tree as one point and the direction of the tree from the. Each plot within the chart is referred to as a. Dash User Guide and Documentation. Do you know if it is possible to generate the graphs using the plot_ly command in Power BI? Solved! Go to Solution. Bucket your diamonds by the cut over the x-axis. The authors recommend bar or dot plots over pie charts because people are able to judge length more accurately than volume. 5 and Python 3. economic index data set, your task is to create a bubble chart of of the housing price index against real GDP. How to build an embeddable interactive line chart with Plotly April 23, 2015 January 21, 2017 Aleszu Bajak How to Recently, and mostly for fun, we were looking at what was happening in major league baseball in 1941. Could someone help me. 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: