Shiny Reactive Data Frame

xlsl formats and held in a data frame. data frame, matrix, other table like structures. This tool creates an HTML equivalent web app from Shiny code. with Shiny Can access reactive values or other reactive expressions, and they return a value Useful for caching the results of any procedure that happens in response to user input Implementation of reactive conductors reactive() e. Reactivity provides a way for your app to respond since inputs will change depending on how users interact with your user interface. The gtrendsR package is used to get data from Google Trends. In this article learn how to add reactive elements in the shiny application, how to make the dashboards more interactive and customizing the UI/UX and front-end of the shiny data applications. R is fileInput('file1', 'Choose CSV File', accept=c('t. Tuija Sonkkila. Here is an example of View real-time data: Now that you've read in the real-time data as reactive_starwars_data(), you can examine it as it updates using renderTable(). Seriously, this can be useful if you want to filter a data frame according to all drop-down inputs. It worked fine when it just read in the data, but now that the data is reactive I am having problems with one of the files (two others work just as expected). Reactive expressions have a flavour of both inputs and outputs:. Lesson 6 Use reactive expressions Shiny apps wow your users by running fast, instantly fast. RStudio is an active member of the R community. I want to have a output table in the UI that has a conditional. I wanted to create an app that displays measurements of some baby’s mass, height and head circumference. The datasetInput function is used as an object to build the partition data using the Caret package [20] and to obtain the classification models using the C50 package [21]. csv(input$file1$datapath. If your layout has a single column then charts will occupy the full width of the browser. R shiny reactive data subset With the help of fantastic people here at Stackoverflow I've managed to build a shiny web app (thanks to shiny server developers) that lets me select the dataset to use and plots a nice table showing the complete dataset. R and server. At an abstract level, we can describe the 01_hello example as containing one source and one endpoint. R code can then be written to query and explore this data. In more detail, I have the code below which first creates a list of data frames. About reactiveValues. In order to do this, it is always necessary to use functions that have different argument types according to their nature. Within R, I needed the packages jsonlite (to read the JSON into an R data frame), and leaflet (to map the data), along with the universally helpful tidyverse, lubridate and shiny packages. Chapter 15 Building a Shiny app to upload and visualize spatio-temporal data. Let's calculate first the missing values rate for every column in the loaded data set. if data is a rpart, data. If a reactive expression is marked as invalidated, any other reactive expressions that recently called it are also marked as invalidated. A general shiny app to import and export data to R. For an introduction and examples, visit the Shiny Dev Center. shinyData is an easy to use tool for interactive data analysis, visualization and presentation. This comment has been minimized. I've tried to add as. This app enables the analyst to understand the data in question. The un-named function in the server component will run once and save a distinct set of reactive objects for each new user that visits the. Within shiny how would I go about updating values within a table without it repainting the entire table and thus flickering on each update. The first command aggregates chicken weight by feed type, producing a data frame with a single average weight entry for each feed type. table, so it can't find the variable to stratify on. A few of our professional fans. The width of charts in flexdashboard is ultimately determined by the width of the browser. We shall see one in our example. A data frame is a special case of a list, which is used in R to hold just about anything. Enter Shiny Webapps. How to select certain rows in a reactive dataset in R Shiny. From the Rstudio documentation:. Expressions wrapped by reactive() should be expressions that are subject to change. Its related to using lists in reactive values. frame() function with no success. Shiny comes with a variety of widgets for rapidly building user interfaces and does all of the heavy lifting in terms of setting up interactive user interfaces. Tables are very much the standard way of representing data in dashboard along with visualizations. Hi, I'm trying to set up a ShinyApp which can access to a PostGreSQL/PostGIS database and perform reactive queries according to user inputs via selectInput widget. what is the source of the data set, can i access that. Note, September 16, 2015: I have corrected some errors in the R code chunks that sneaked in when I transformed the post to WordPress format. Real time data search and analysis with API in Shiny. io Find an R package R language docs Run R in your browser R Notebooks. Loads the input file into a data frame. The first command aggregates chicken weight by feed type, producing a data frame with a single average weight entry for each feed type. Ask Question. Let's calculate first the missing values rate for every column in the loaded data set. Appending a data frame with for if and else statements or how do put print in dataframe. In this chapter we show how to build a Shiny web application to upload and visualize spatio-temporal data (Chang et al. You can make an R Markdown document interactive in two steps: add runtime: shiny to the document's YAML header. Dec which makes a reactive version of a function Each row of the acronyms data frame is an. shinyData is an easy to use tool for interactive data analysis, visualization and presentation. R available at the following github link: https://github. can any one help me how to convert this to a data frame with factor. with Shiny Can access reactive values or other reactive expressions, and they return a value Useful for caching the results of any procedure that happens in response to user input Implementation of reactive conductors reactive() e. So it takes a generic path and it returns a data frame, not a reactive. Coupled Events in Plotly using Shiny. The big difference is that the. They yield output which can be used as input in other expressions, which will in turn take a dependency on the reactive expression. This can be generated using the melt function from the reshape2 package. For example, if I submit d1 for a name it shows immediately, then d2 for a name which shows up immediately as well, but when I submit the 3rd value then it does not show up in the data table immediately and only sows up after I submit the 4th value. Chapter 15 Building a Shiny app to upload and visualize spatio-temporal data. Creating Interactive Collapsible Tree Diagrams in R using D3. Reactive expressions save recomputation. Use outputId names in quotes to refer to output objects within *Output() functions. Data frames to combine. Shiny applications are built using two R scripts that communicate with each other: a user-interface script (ui. save this reactive variable as a. csv() back to the same file. if you want to subset based on the Display radiobutton, you can do something like this. I made the mistake of reading the man page for the shiny version of renderDataTable that simply says "An expression that returns a data frame or a matrix. Do not use the dates in your plot, use a numeric sequence as x axis. R available at the following github link: https://github. If this reactive data frame is created only for this one plot, you can embed the data manipulatin within the renderPlot() function. But what if your app needs to do a lot of slow computation? This lesson will show you how to streamline your Shiny apps with reactive expressions. a download button) and therefore the dataframe is reactive. If your layout has multiple columns then the columns will split the available width evenly (unless overridden via the data-width attribute as described below). R Shiny reactive subset data - ERROR object of type 'closure' is not subsettable message because you are subscribed to the Google Groups "Shiny - Web Framework. Recent in Data Analytics. The Shiny Widgets Gallery is a useful reference for choosing the right input widgets for your questions. Build an internet-of-things dashboard with Google Sheets and RStudio Shiny: Tutorial part 3/3 Dec 27, 2015 · 7 minute read · Comments This is the third and final part of the Shiny + Google Docs dashboard tutorial, where I explain how to build a live web dashboard for connected “Internet of Things” sensors, using Google Sheets as a data server. Now that we have our functions built, time to build the shiny dashboard that will display our data to the world. I've been running it only in RStudio thus far, and so whenever I needed new data I'd just restart the application and before the server loads it would grab all new data. If this data will be used thin two or more outputs in the dashboard and has a lot of data manipulation, a reactive dataframe is a good idea. We've seen pieces of code wrapped in functions such as renderPlot( ). Missing values should be indicated by a period (. The gtrendsR package is used to get data from Google Trends. with Shiny Can access reactive values or other reactive expressions, and they return a value Useful for caching the results of any procedure that happens in response to user input Implementation of reactive conductors reactive() e. This makes it possible to click on an element and trigger an action. Shiny is a web application framework for R. It's generally not a good idea to try to add rows one-at-a-time to a data. Make42 changed the title How to add reactive function that expects arguments? How to pass arguments to a reactive function? Jun 9, 2015. frame to filter. Ask Question. Reactive column names in reactive data frame shiny. As usual thanks a million. frames in Shiny I have a working shiny application, but I am changing it so that the input data is reactive - it will update when the underlying data updates. table, so it can't find the variable to stratify on. xlsl formats and held in a data frame. In this example, we will require that the app updates itself every time the user plug in a new data frame. Real time data search and analysis with API in Shiny. The min max values of the slider therefore refer to the rownames of the reactive data frame. Lesson 6 Use reactive expressions Shiny apps wow your users by running fast, instantly fast. A change in any of the two listed input elements will trigger the execution of this code and the result will be assigned to results. If your layout has a single column then charts will occupy the full width of the browser. In more detail, I have the code below which first creates a list of data frames. How to aggregate on a reactive Shiny data frame. Reactive expressions are another kind of reactive context. Wouldnt it be more useful if you could edit the values in the tables to trigger some calculations and update the values on the fly. You can add properties simply by adding variables on data. Using Shiny with flexdashboard turns a static R Markdown report into an Interactive Document. within a Shiny reactive expression) will update the data-binding store and refresh bound components with the new data. Instead of plotting emissions_restructed, we now want to plot the reactive plotdata of the reactive dataset data(). frame your post helped me solve the problem. Sebastian Kranz and Wei Luo for providing ideas and code to improve the transformation of R data frames into JSON code Sebastian Kranz for reporting a bug in version 0. Some useful functions to know more about a data frame are given below. Missing values should be indicated by a period (. Previously on this post, I introduced limitedly some features of the Shiny package. GitHub Gist: instantly share code, notes, and snippets. In order to do this, it is always necessary to use functions that have different argument types according to their nature. I've tried to add as. Sorry for any inconvenience. Open Data Camp 2013, Hyderabad. Belajar Bahasa Pemrograman R (Dilengkapi Cara Membuat Aplikasi Olah Data Sederhana dengan R Shiny. Set axis limits to be fixed. The Sales Analytics Dashboard uses Shiny to monitor simulated bicycle sales for a bicycle manufacturer, Cannondale. Reactive expression is a expression whose result will change over time. I’ve kept it really simple and am just displaying the user count data from “today” by minute for each app, but obviously there are a bunch of other ways this data could be used. data_vars: reactive function returning a character vector of variable to use for filters. Lesson 6 Use reactive expressions Shiny apps wow your users by running fast, instantly fast. Using control logic, it is easy to specify different shiny input funtions that you will only have to write once. Shiny uses reactive programming to make apps interactive. Hi, Thanks for the great package. One is a column plot and the other a bar plot. Customizable widgets like sliders, drop down lists, numeric inputs and many more. Posted on July 26, 2017 by Adam Lewis The R shiny package is impressive, it gives you the power of R, plus any number of packages, and in combination with your data allows you to create a personalized web application without having to know any JavaScript. I'm fairly new with R and shiny and I am trying to make an application where users can select various variables from a data set and plot the ratios of. The Shiny Text application demonstrates printing R objects directly, as well as displaying data frames using HTML tables. class: center, middle, inverse, title-slide # Building Shiny Apps ### MACS 30500. list, shiny session. In this example, we will require that the app updates itself every time the user plug in a new data frame. with Shiny Can access reactive values or other reactive expressions, and they return a value Useful for caching the results of any procedure that happens in response to user input Implementation of reactive conductors reactive() e. Recommend:r - Use a reactive dataframe in Shiny to predict(svm) and then it would apply that dataframe to a predict in an svm, giving the output of the prediction based on the given values. Shiny apps have two components: - user interface script (controls layout and appearance by converting R code into HTML) - server script (contains the code needed to build the app) No knowledge of HTML, JavaScript or CSS is required. Creating Interactive Collapsible Tree Diagrams in R using D3. In this tutorial, we will see how to integrate PostgreSQL, Shiny and leaflet to create dynamic map of trash can conditions based on streaming data. Create train and test data from dataset in R 12 hours ago; Read text file and save as csv file using R 3 days ago; How to rename a file using R? 3 days ago. Home > r - Shiny - How to select a column from a data frame stored in a reactive function r - Shiny - How to select a column from a data frame stored in a reactive function I'm almost done creating my very first web app with Shiny, but I'm stuck at the very last step, where I'm rendering the plot. Note the brand new brackets the data got because it's reactive!. A reactive expression is like a recipe that manipulates inputs from Shiny and then returns a value. Provides utility to create brilliant plots. Shiny will know and in Shiny all inputs are automatically reactive. fi SPARQL endpoint, renders the result both as a table and a calendar-like chart, and offers a way to download data as iCal calendar events. A shiny webapp will allow us to build an interactive dashboard that we will let Rstudio host for us with their servers. Open Data Camp 2013, Hyderabad. Building my first Shiny application with ggplot November 14, 2012 Noteworthy Bits data visualization , ggplot2 , hivetalkin , R , shiny cengel In trying to get a grip on the newly released Shiny library for R I simply rewrote the example from the tutorial to work with ggplot. Reactivity. I've been running it only in RStudio thus far, and so whenever I needed new data I'd just restart the application and before the server loads it would grab all new data. When column-binding, rows are matched by position, so all data frames must have the same number of rows. What we will do is add to the shiny app a feature that lets you select which columns of the data set to display. We use cookies for various purposes including analytics. I was developing a new Shiny application and got stuck implementing several `SelectizeInput’ (alias drop-down) in the user interface to filter a data frame. A reactive expression is defined as one that transforms the reactive inputs to reactive outputs. xlsl formats and held in a data frame. by Mark Westerfield Last Updated September 13,. Hubbard Data visualization plays a vital role in life of a Data Scientist. You can use the dates as labels. I'm fairly new with R and shiny and I am trying to make an application where users can select various variables from a data set and plot the ratios of. In the section for data input (sidebarPanel or fluidRow), you can add a widget for each question, then some action buttons for submitting the data or other actions. Coupled Events in Plotly using Shiny. im new to shiny and i would like to make a (theoretical?) question that probably is wrong but in any case after searching i would like to know. The Sales Analytics Dashboard uses Shiny to monitor simulated bicycle sales for a bicycle manufacturer, Cannondale. I want to have a output table in the UI that has a conditional. Sorry for any inconvenience. frame 😉 Shiny UI. Reactivity provides a way for your app to respond since inputs will change depending on how users interact with your user interface. Paging, searching, filtering, and sorting can be done on the R side using Shiny as the server infrastructure. 000 rows it is still instant. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. R available at the follo. Secondly the file upload input returns a data frame with a datapath column which is where the file has been dropped. Values - such as a data frame - need to be "reactive. UI of editData Shiny module editableDTUI: UI of editData Shiny module in editData: 'RStudio' Addin for Editing a 'data. Although event_data() is function, it references and returns a shiny input value, so event_data() needs to be used inside a reactive context. When to use reactive ‣ By using a reactive expression for the subsetted data frame, we were able to get away with subsetting once and then using the result twice. (Fake data used in this post generated by Mockaroo. mapply allows me to apply the build_shiny_input function to each column in the data. Shiny by RStudio; First steps with googleVis on shiny; RStudio Glimmer Server; BI Dashbord with shiny and rCharts; Shiny examples with slidify; Shiny on R-Bloggers; The End. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. In order to change our previous script for PK simulations with mrgsolve to work with Shiny, we need to make use of reactive expressions. I was greatly helped by an example given in the github repo of this package. See this Shiny app for an example of using these methods to update a table. Note that everything in the server function is either in a "reactive" or a "renderer". frame to filter. R), which controls layout and appearance; and a server script (server. Reactive column names in reactive data frame shiny. Shiny example: Diamonds Explorer. That's what was causing your initial problem. We shall see one in our example. If this reactive data frame is created only for this one plot, you can embed the data manipulatin within the renderPlot() function. reactive, a data. I have a dataframe with a time series as index. The gtrendsR package is used to get data from Google Trends. As you said, if there is more data added to points, tables and graphs can be created. Shiny widgets enable you to create re-usable Shiny components that are included within an R Markdown document using a single function call. R Shiny reactive subset data - ERROR object of type 'closure' is not subsettable message because you are subscribed to the Google Groups "Shiny - Web Framework. But what if your app needs to do a lot of slow computation? This lesson will show you how to streamline your Shiny apps with reactive expressions. Reactivity Creatingareactiveexpressionisjustlikecreatingafunction: calc_sum <-reactive({input$box1 +input$box2}) # calc_sum(). Hi R users, I have a data frame that contains 10K obs and 200 variables where I am trying to format the numeric columns to look like the output table. Missing values should be indicated by a period (. frame' rdrr. csv() back to the same file. It's like the difference between giving someone a recipe versus demanding that they go make you. Shiny combines the computational power of R with the interactivity of the modern web. table, and keeping the data. If you are interested in learning more basic R functionality the interactive lessons at Try R will let you practice by writing real R code in a few minutes. data_vars: reactive function returning a character vector of variable to use for filters. However, thanks to its contributive feature and extensibility, there is a package to load data into R for almost every data structure (at least the standard ones). Values – such as a data frame – need to be “reactive. In this article learn how to add reactive elements in the shiny application, how to make the dashboards more interactive and customizing the UI/UX and front-end of the shiny data applications. Loads the input file into a data frame. The formats and structures in which data comes can be varied. compatible with shiny, R Markdown documents, and RStudio viewer; The package proposes all the features available in vis. The final data frame that is plotted is called plotdata, and the associated text is called textout. Shiny Introduction reactive, reactiveValue and eventReactive are various kinds of reactive expressions in Shiny. -Reactive expressions – reactive(): they depend on reactive values and observers depend on them -Can access reactive values or other reactive expressions, and they return a value -Useful for caching the results of any procedure that happens in response to user input -e. This is called a “reactive context”, and is a common pattern in Shiny. Reactive contexts contain code that might need to be re-run if their inputs change. The last function, data(), tells D3 to use the data data set, which is the default name that r2d3 is using when it translates our data. A data frame is a special case of a list, which is used in R to hold just about anything. In order to prevent a reactive plot miscommunicating data as inputs change, it's important to consider a number of elements. In-built functions for viewing data or printing the text or summaries. They can contain any combination of shiny inputs, shiny outputs, and html. Welcome to STAT 545. If you are interested in learning more basic R functionality the interactive lessons at Try R will let you practice by writing real R code in a few minutes. In fact, I’m trying to recreate something similar. frame where you do data. R), which controls layout and appearance; and a server script (server. But what if your app needs to do a lot of slow computation? This lesson will show you how to streamline your Shiny apps with reactive expressions. Shiny by RStudio; First steps with googleVis on shiny; RStudio Glimmer Server; BI Dashbord with shiny and rCharts; Shiny examples with slidify; Shiny on R-Bloggers; The End. The data frame is already loaded as starwars. Note that everything in the server function is either in a "reactive" or a "renderer". It's generally not a good idea to try to add rows one-at-a-time to a data. Make predictions that are returned as a data frame and therefore assigned to results. data_table: reactive function returning a data. In this post we will walk through the steps required to build a shiny app that mimicks a Google Form. Shiny comes with a variety of widgets for rapidly building user interfaces and does all of the heavy lifting in terms of setting up interactive user interfaces. I use exactly the same code as in the Gist and for some reason from the 3rd input the data table is lagging by one row. frame textAreaInput4 Create side-by side textAreaInput with disabled spell check Description Create side-by side textAreaInput with disabled spell check. Individual configuration. rt<-reactive({ req(input$file1) csvdata <- read. how would I be able to specify rows I want like a data. A reactive expression is defined as one that transforms the reactive inputs to reactive outputs. In the end of this post you will find a video tutorial. frame where you do data. g: the choice of a car brand;. A reactive expression is like a recipe that manipulates inputs from Shiny and then returns a value. Its related to using lists in reactive values. We want to do this, because in a pie chart we want to display slices in descending order from largest to smallest. The code for creating the table output should make sense to you without too much explanation:. Creating a reactive dataframe with shiny apps (R) - Codedump. Copy and paste from Excel/Numbers. Within shiny. In order to do this, it is always necessary to use functions that have different argument types according to their nature. With this tutorial you can build an interactive web application with R that fetches up-to-date lecture data from the data. Creating Reactive data driven web applications. Shiny widgets enable you to create re-usable Shiny components that are included within an R Markdown document using a single function call. When to use reactive ‣ By using a reactive expression for the subsetted data frame, we were able to get away with subsetting once and then using the result twice. I then created a numericInput for user to enter a row number to delete from the data frame. r - Formatting reactive data. Checking the normality of difference scores Paired t-test Effect size indices Wilcoxon signed-rank test Power analysis (Just for a reference) R session info. Reactive column names in reactive data frame shiny. When working with shiny, you can use the data_id aesthetic to associate points, polygons and other graphical elements with a value that will be available in a reactive context. Note: Input values must be separated by tabs. For an introduction and examples, visit the Shiny Dev Center. Therefore, knowing when trash cans are full is important to pick them up right away rather than waiting for a specific day of the week to come. Shiny app using Plotly in R Shiny app to explore diamonds dataset. Expressions wrapped by reactive() should be expressions that are subject to change. it's better to generate all the column data at once and then throw it into a data. I am trying to get this reactive to return a data frame that I can manipulate with plotly. The problem occurs when I try to perform rbind on the reactive data frame (or on a dataframe generated from the reactive data frame, or on a data frame created from scratch and where I've inserted the reactive data - it doesn't seem to matter). ‣ In general, reactive conductors let you ‣ not repeat yourself (i. 3 Get the Gapminder data; 5. r,loops,data. frame to a D3-friendly format. In this post we will walk through the steps required to build a shiny app that mimicks a Google Form. Shiny Coding: The basic set up of Shiny apps is well covered elsewhere. A reactive expression is like a recipe that manipulates inputs from Shiny and then returns a value. frame is a great example of such data, and thus data. Coupled Events in Plotly using Shiny. With a slider I want to be able to select only certain rows of the dataframe. The core questions is. shinyData is an easy to use tool for interactive data analysis, visualization and presentation. Paging, searching, filtering, and sorting can be done on the R side using Shiny as the server infrastructure. In more detail, I have the code below which first creates a list of data frames. I have a working shiny application, but I am changing it so that the input data is reactive - it will update when the underlying data updates. 3 Get the Gapminder data; 5. In this post, I will show how we can use Shiny to analyse Google Trends Data and create a dashboard. Recent in Data Analytics. Rscript to place reactive objects in your Shiny app. Apart from that I've also shown how you can dynamically take the filter values in the select. 1 Introduction. cannot coerce class ""reactive"" to a data. It's generally not a good idea to try to add rows one-at-a-time to a data. Note that everything in the server function is either in a "reactive" or a "renderer". R shiny: Storing reactive data as a dataframe with factor values for predictive model. Modify your network with visNetworkProxy. One is a column plot and the other a bar plot. However, I cannot open the file for editing and saving for processing by the R code. Build an internet-of-things dashboard with Google Sheets and RStudio Shiny: Tutorial part 3/3 Dec 27, 2015 · 7 minute read · Comments This is the third and final part of the Shiny + Google Docs dashboard tutorial, where I explain how to build a live web dashboard for connected "Internet of Things" sensors, using Google Sheets as a data server. Using reactive variable to change a subset of data using Shiny I have a data set spanning several years. OK, I Understand. We shall see one in our example. Shiny Coding: The basic set up of Shiny apps is well covered elsewhere. r,loops,data. The data are received by server as a data frame (Fig. Reactive expressions are another kind of reactive context. jsonlite allows you to read in a JSON file as you would a CSV or any other data type. But what if your app needs to do a lot of slow computation? This lesson will show you how to streamline your Shiny apps with reactive expressions. These perform computations before sending reactive outputs. im new to shiny and i would like to make a (theoretical?) question that probably is wrong but in any case after searching i would like to know. The Shiny Widgets Gallery is a useful reference for choosing the right input widgets for your questions. type in "data" just before "merge" and see what is output (debuggung 101) Sent from my iPad On Oct 30, 2013, at 4:38, hsin-fei tu <[hidden email]> wrote:. With a slider I want to be able to select only certain rows of the dataframe. It also covers group selection and plotting. Otherwise data-points in the same position on the plot may have very different values as axis limits change. Reactive data frame subsets we created earlier. Normally renderDataTable() takes an expression that returns a rectangular data object with column names, such as a data frame or a matrix. save your render. For example if we want to call the f data frame, it will be denoted as f(). Rscript to place reactive objects in your Shiny app. renderUI() a Shiny UI element Use the render*() function that creates the type of output you wish to make. shinyData is an easy to use tool for interactive data analysis, visualization and presentation. Note that everything in the server function is either in a "reactive" or a "renderer". if data is a rpart, data. Creating Reactive data driven web applications. The examples so far have used linked brushing. PDF | Interactive applications, developed using Shiny for the R programming language, have the potential to revolutionize the sharing and communication of pharmacometric model simulations. Some of them are the following, reactive(): this function generate a reactive expression i. Dataset = built in diamonds data. For example, if I submit d1 for a name it shows immediately, then d2 for a name which shows up immediately as well, but when I submit the 3rd value then it does not show up in the data table immediately and only sows up after I submit the 4th value. reactive data frame subsets we created earlier. 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: