Dash Plotly Maps

Dash isn't just for dashboards. js (Plotly is the company that created Dash). Over 35 chart types are supported, including maps. Plotting Library and Web App. The library provides a. The map function is the simplest one among Python built-ins used for functional programming. py (also known as the plotly module) is now available for download from PyPI. This is part 3 of the details of my latest plan to make one million dollars by finding Bigfoot using Plotly’s Dash framework. That's accessible in dash by setting `animate=True` in the `dash_core_components. It provides a service to change style and data of your chart after generation, which is called the chart studio. In my recent post on the angular size of a soccer goal, I created a contour plot. inherit inherit attributes from plot_ly()? Author(s) Carson Sievert add_data Add data to a plotly visualization Description. See the complete profile on LinkedIn and discover Matt’s connections. which included over 3 months of changes from 13 different contributors with over 30 features and bug fixes. Dash Application Intern Plotly May 2019 – Present 3 months. In this article, we’ll compare Bokeh and Dash (by Plotly), two Python alternatives for the Shiny framework for R, using the same example. You can read more about Edward Tufte here. Welcome to Plotly Support where you can find information and assistance for web app, API wrappers and PlotlyJS. I stumbled upon Plotly's Dash, which promised easy drawing of interactive plots with lists and buttons. Python scripts can be saved, shared, and. js, an (MIT licensed) web-based interactive charting library. Over 35 chart types are supported, including maps. 4 plotメソッドのオプション引数 2. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly's Dash library. Ýou can access the chart studio by clicking on the 'edit in chart studio' icon above the chart. The map function is the simplest one among Python built-ins used for functional programming. Plotly to draw Sankey diagrams by leveraging the underlying capability offered by Plotly. Many different input formats are available. In order to use some of these more advanced visualizations, we’ll need to import our Pandas library by converting our Spark DataFrame into a Pandas DataFrame*, which has more features than just Spark alone. I haven’t used Dash much. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly’s Dash library. The engine behind our platform is plotly. Change the region to North America because that is the same as the data that we have. let customZ = [ for x in 1. Plotting Library and Web App. Learn how to connect multiple inputs and outputs with a dashboard. When someone submits a form, it will save to the database. It includes some exciting new…. I explore and visualize data with powerful tools like heat maps, 3D surface plots, histograms and other charts. Welcome to Python Visualization Dashboards with Plotly’s Dash Library! This course will teach your everything you need to know to use Python to create - Interactive Python Dashboards with Plotly and Dash - terralinks. Dash has been announced recently and it was featured in our Best of AI series. R EMBEDDED BI/OEM Chart Studio Dashboards JOIN THE DASH CLUB. Part 3: Interactions. Dash Cytoscape Component. Dash is the frontend to your analytical Python backend. Been quite a while since any updates, but here's a short one! As a part of a contract I'm working on, I found myself having to plot the major arc of great circle paths on a map. 50 do let lst = List. The latest Tweets from plotly (@plotlygraphs). 4 add_fun data a data frame. Although Chronograf supplies a plethora of quick and easy visualizations and dashboards, users can also build and share their own custom visualizations. Before getting started with your own dataset, you can check out an example. Select data points from the well map, ternary map or bar graph to visualize cross-filtering to other plots. To learn more about Dash, read the extensive announcement letter or jump in with the user guide. In part 2 I added a few more plots and made a more complicated layout. Dash apps are rendered in the web browser and also mobile-ready. It is known for developing and providing online analytics, statistics and graphing tools for individuals or companies. No JavaScript required. Dash uses Plotly. js, a fully featured charting library including maps like these, financial charts, scientific graphs, and more. For analysis and styling graphs, Plotly offers a Python sandbox (NumPy supported), datagrid, and GUI. The darker the color, the greater number of votes. environ["HOME"] but I'm not having much luck. To embed Plotly graphs in your applications, dashboards, and reports, check out Plotly Enterprise. Both these charts are popular JavaScript libraries for visualizations. Built on top of plotly. Update live interactive graphs with clicks, hover overs, and more. It's possible to update the information on Plotly or report it as discontinued, duplicated or spam. The source code for this series of videos can be found at this link. All you need are several hundred lines of Python code to get going. js plots via their JSON values. Using data from the electoral college, we’ll plot a choropleth map of the United States with a color scale. Flexible Data Ingestion. It provides a service to change style and data of your chart after generation, which is called the chart studio. js to build custom data visualization apps. js, I recommend taking a bit of time to look through the plotly. This course will teach you how to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library. Analyze Data: Five Ways You Can Make Interactive Maps. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly’s Dash library. Dash User Guide and Documentation. Weather maps in Python with Mapbox-gl, xarray, and netcdf4 Published December 18, 2017 December 18, 2017 by modern. This post is inspired by this question on Stack Overflow. js and React. CACHE DASH SPLASH Home; Events/Info. Dash uses Plotly. It also supports all subplot and trace types: 2D, 3D, polar, ternary, maps, pie charts, sunbursts, Sankey diagrams etc. As a result, frameworks like shiny (for R), and more recently Plotly Dash (for Python), have become popular among data scientists as a way to quickly build interactive dashboards in Python or R to communicate results. Note that I was sure to drag the fields “Plotly Globe” and “Plotly Winkel Tripel” to Detail in each of the Sheets – that way the Plotly embed URLs I created for my maps would be accessible in the dashboard. Use Dash to create interactive components with Plotly. GoWvis represents any piece of text inputted by the user as a graph-of-words and leverages graph degeneracy and community detection to generate an extractive summary (keyphrases and sentences) of the inputted text in an unsupervised fashion. Our open-source developer community is the heart of Plotly and the reason that these products are what they are today. Dash User Guide and Documentation. Practically, Dash is an open source library. We’ll try to replicate Tufte’s visualization practices in R using Plotly. js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly’s Dash library. Both these charts are popular JavaScript libraries for visualizations. by Abdul-Wahab April 25, 2019 Abdul-Wahab April 25, 2019. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. js, SVG vs WebGL, etc)? Mapping data to visuals (theory and practice) Tips for learning more, debugging, and generally getting "un-stuck" Data wrangling for visualization Reshaping with tidyr, manipulation with dplyr. mapping data values to fill colors (via color) or creating animations (via frame)) and sets some different defaults to make the interface feel. Plotly offline table. Dash apps are powered by Plotly. Over 35 chart types are supported, including maps. Documentation. How do you do that?. Pretty R highlights R code for HTML. By Anna Anisin, Formulated. Use Dash to create interactive components with Plotly. Posts about plotly written by chrishavlin. Here's a Dash app that's styled to look like a PDF report. You might know Plotly as an online platform for data visualization, but did you also know you can access its capabilities from a Python notebook? Like Bokeh, Plotly's forte is making interactive plots, but it offers some charts you won't find in most libraries, like contour plots, dendograms, and 3D charts. This post walks through creating custom graphs of time series data using InfluxDB and plotly. No JavaScript required. Index Index 1. Here's how to do that: import plotly. Been quite a while since any updates, but here's a short one! As a part of a contract I'm working on, I found myself having to plot the major arc of great circle paths on a map. import plotly plotly. The library provides a. Plotly is a web-based data visualization platform for data scientists and engineers. Udemy - Interactive Python Dashboards With Plotly And Dash [TP] torrent download - ExtraTorrent. Plotly Technologies. Use an easy side-by-side layout to quickly compare their features, pricing and integrations. set_credentials_file(username='your-name', api_key='your-pass-word') Initialization for Offline Plotting. You will need to register for a free plotly account to use this one. I'd like to make a map with the ability. It enables you to build dashboards using pure Python. Plotly's Python graphing library makes interactive, publication-quality maps online. 4 add_fun data a data frame. Plotly does not only generate your charts. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly’s Dash library. Built on top of plotly. This course will teach you how to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library. I don't know if it is possible with a dash. See above for a video of additional interactive functionalities available in custom Plotly visualizations. js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. 50 do let lst = List. Plotly dash in docker do not load assets Posted on 15th February 2019 by Patrik I have a multi-page dash application that works as expected when running it locally with: waitress-serve –listen=0. Falcon Synchronization. You have full control over the look and feel of your applications. Examples of how to make maps with Plotly and Mapbox. js and stack. py (also known as the plotly module) is now available for download from PyPI. 7 タイトルや軸ラベルを…. Many draw upon sample datasets compiled by the Vega project. First, select the 'Type' menu. The plotly package. plotly GETTING STARTED 1. 4 plotメソッドのオプション引数 2. Plotly Dash Tutorial - Working with table and map (Video 04) In this video we are going to see how to use maps and tables in a Plotly Dash app. plotly is a Python library which is used to design graphs, especially interactive graphs. Part 1: Map. Plotly Update When plot. The library is free and open source. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation. In my recent post on the angular size of a soccer goal, I created a contour plot. Hovering the mouse over the chart type icon will display three options: 1) Charts like this by Plotly users 2) View tutorials on this chart type 3) See a basic example. js, Dash, PLOTCON, and the fastest growing charting libraries for R and Python. Sometimes I have to write stuff so I won’t forget how to do it. For example: Shiny makes interactive apps from R. Learn how to connect multiple inputs and outputs with a dashboard. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly’s Dash library. The map function is the simplest one among Python built-ins used for functional programming. Okay, let’s say you have a large set of IP addresses. To make things super simple, you can use your username and API key to create a credentials file. オンラインで使ってみる 2. Bokeh and Dash: an overview. Then dash will read it and show on the graph. js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. Install In the terminal sudo pip install plotly 2. 7 Plotly Graphs in 3D: Stocks, Cats, and Lakes. The syntax for creating interactive charts in Plotly using the R programming language is straight forward and simple for those who are familiar with writing code and the Plotly library is well-documented. Why? Using plotly gives you neat and crucially interactive options at the top, whereas ggplot2 objects are static. Graph` component. ly, a free online collaborative graphing tool. For example: Shiny makes interactive apps from R. js for charting. It is mainly used in data analysis as well as financial analysis. Plotly is a technical computing company headquartered in Montréal, Canada. Graph provides 35 different chart types to meet your needs. Level up your data visualisation. If you are someone who uses Python for data analysis methods, visualization, modeling, and reporting, you will be surprised how useful Dash can be. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Inspecting Twitter Data on a Map: And. js working together to produce a set of linked data visualizations. This course will teach you how to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library. Dash DAQ is an open-source package for building data acquisition GUIs to use with scientific instruments. Search Plotly marker fill color. Part 3: Interactions. The darker the color, the greater number of votes. In the future, we will also support. Plotly offline table. It supports many types of charts/plots including line charts, bar charts, bubble charts and many more. Dash is a Python framework for building analytical web apps in Python. For my first choropleth maps in Dash I created a separate layer for each area, but ran into severe performance issues as the number of layers increased. Inspired by Seaborn and ggplot2, it was specifically…. We'll try to replicate Tufte's visualization practices in R using Plotly. Welcome to Plotly Support! We are currently in beta and would welcome any feedback you have about the site. Hovering the mouse over the chart type icon will display three options: 1) Charts like this by Plotly users 2) View tutorials on this chart type 3) See a basic example. 1) Dash component to visualize callback chains; dash-control-components (latest: 0. The list of alternatives was updated May 2019. If you are new to plotly. Inspired by Seaborn and ggplot2, it was specifically…. First, we load in the electoral college data. Learn how to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library! What you'll learn Firstly, Find out about Plotly to form plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! produce Layouts with Plotly's Dash library. js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. Inspired by Seaborn and ggplot2, it was specifically…. Dash Plotly Map + Graph Part2: Linking Map & Graph and deploying to Heroku. py is MIT Licensed. svg或者html格式放到我自己的网站上呢?. Data included in the Health Department's DASH project includes hourly averages and average daily counts. The following are code examples for showing how to use dash. In my recent post on the angular size of a soccer goal, I created a contour plot. The graph below–one of his most famous–depicts how in the 1750s the Brits started exporting more than they were importing. This is part 3 of the details of my latest plan to make one million dollars by finding Bigfoot using Plotly's Dash framework. ly is the ea. I found out that you can also create an online dashboard with plotly. py (also known as the plotly module) is now available for download from PyPI. Here's a Dash app that's styled to look like a PDF report. Ask Question Asked 4 months ago. Data exploration with Data Plotly for QGIS3. Matt has 8 jobs listed on their profile. There’s a suite of Dash ad-ons offered by Plotly. js and Crossfilter. Learn how to connect multiple inputs and outputs with a dashboard. In part 2 I added a few more plots and made a more complicated layout. Filters at the top of the app update the graphs below. 2) A dash component for specifying raw HTML glsl-out-of-range (latest: 1. I am looking for a hands-on tutorial or at least a long step-by-step explanation!. For example: Shiny makes interactive apps from R. map (fun y-> y + x) [1. js and mpld3 and Bokeh. Both these charts are popular JavaScript libraries for visualizations. Note that I was sure to drag the fields "Plotly Globe" and "Plotly Winkel Tripel" to Detail in each of the Sheets - that way the Plotly embed URLs I created for my maps would be accessible in the dashboard. py and opening up a browser… surprise! it works! (yes I know there's an issue with missing data at 2:30 AM, I'll deal with that after) The map. Learn how to connect multiple inputs and outputs with a dashboard. Graph` component. js for charting. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly’s Dash library. This is a demo of the Dash interactive Python framework developed by Plotly. Use an easy side-by-side layout to quickly compare their features, pricing and integrations. Using data from the electoral college, we’ll plot a choropleth map of the United States with a color scale. Matplotlib is a fine graphing library, and is the backend to many other packages that. With Plotly Dash you can use Python to make web app dashboards for your team or the world. Sign Up & Configure plot. Dash is a Python framework for building analytical web apps in Python. ly graphs into shiny apps , if you’re already comfortable building shiny apps. 0 but not used in the following example. Select data points from the well map, ternary map or bar graph to visualize cross-filtering to other plots. dash-dangerously-set-inner-html (latest: 0. Update live interactive graphs with clicks, hover overs, and more. js and stack. The plotly package. Unsure which solution is best for your company? Find out which tool is better with a detailed comparison of d3-js & plotly. This Dash app displays oil production in western New York. js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. Like the snippet! Sankey Diagram extension to FSharp. Plotly does not only generate your charts. Plotly and co. Learn how to connect multiple inputs and outputs with a dashboard. by Sponsored Post. Following steps have been tested to work on Windows 7 and 10 with Anaconda3 64 bit, using conda v4. ” — Plotly’s site. It built on top of Flask, Plotly. I found out that you can also create an online dashboard with plotly. Search Plotly marker fill color. Plotly does not only generate your charts. Plotly: Choropleth Maps. plotly is a Python library which is used to design graphs, especially interactive graphs. set_credentials_file(username='your-name', api_key='your-pass-word') Initialization for Offline Plotting. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. Dash Plotly Map + Graph Part2: Linking Map & Graph and deploying to Heroku. iplot() when working offline in a Jupyter Notebook to display the plot in the. 4) Functions to test if a point is outside ranges, namely useful for 3D/2D scenes that may have reversed bounds. Using data from the electoral college, we’ll plot a choropleth map of the United States with a color scale. Then dash will read it and show on the graph. Update live interactive graphs with clicks, hover overs, and more. Line and Chart. Before getting started with your own dataset, you can check out an example. Part 2: Plots. Ok, So I want to go one step further. This is one of those times. js for charting. Built on top of plotly. Data exploration with Data Plotly for QGIS3. Once I created the sheets, I added them all to a dashboard in Tableau and then dragged out a web page object onto the canvas. dash-plotly-132-histogram-map. The plotly library began as a JavaScript library; now it’s available for Python, R, and SQL users. How do you do that?. The library provides a. import plotly plotly. Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation. by Matt Sundquist, Plotly Co-founder It's delightfully smooth to publish R code, plots, and presentations to the web. We made these maps with our APIs for R and Python. js, and React. Now that we’ve created the simple line graph, let’s see if we can display the segments on a plotly map. This post walks through creating custom graphs of time series data using InfluxDB and plotly. The filter filters out items based on a test function which is a filter and apply functions to pairs of item and running result which is reduce. Use Dash to form interactive parts with Plotly. Dash Club is a no-fluff, twice-a-month email with links and notes on the latest Dash developments and community happenings. py and opening up a browser… surprise! it works! (yes I know there's an issue with missing data at 2:30 AM, I'll deal with that after) The map. ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep. In this video, we are going to explore the Plotly Dash Framework concept and create from the very beginning our first web app. It includes some exciting new…. Distributed Machine Learning Using PySpark. When someone submits a form, it will save to the database. (list of strings defining plotly. I was thrilled to attend the Dash Masterclass workshop at PlotCon on November 18th-19th, with the support of WiMLDS. Plotly is a technical computing company headquartered in Montréal, Canada. Filters at the top of the app update the graphs below. It's possible to update the information on Plotly or report it as discontinued, duplicated or spam. Plotly supports three types of maps: choropleths, atlas maps, and satellite maps. With ggplotly() by Plotly, you can convert your ggplot2 figures into interactive ones powered by plotly. I am passionate about building really solid applications that are fun to use whether for every day applications or larger scale projects. "Dash is a Python framework for building analytical web applications. Line and Chart. It provides abstractions for doing common things (e. The graph below-one of his most famous-depicts how in the 1750s the Brits started exporting more than they were importing. The sources required to run this app are here: - Github Repo: https://gith. Dash uses Plotly. Bokeh has been around since 2013. It has also has great documentation and example library. One neat little innovation I came up with for this demo was the two different shades of grey to indicate not only that some data is being filtered out but a partial explanation of why. Plotly is 3. Creating Interactive Visualizations with Plotly's Dash Framework — High level overview of how to get started with Dash. Notice: Undefined index: HTTP_REFERER in /home/sites/heteml/users/b/r/i/bridge3/web/bridge3s. which included over 3 months of changes from 13 different contributors with over 30 features and bug fixes. In this video we are going to see how to use maps and tables in a Plotly Dash app. Plotly is a collaborative, web-based graphing and analytics platform. What you get with Dash Frontend generated in Python Reactive computations abstraction Component class for every HTML tag as well as keyword arguments for all of the HTML arguments implemented in dash_html_components package Interactive HTML elements implemented in dash-core-components Plotly python API implemented in dash-core-components. The plotly library began as a JavaScript library; now it's available for Python, R, and SQL users. Plotly is a collaborative, web-based graphing and analytics platform. ly, a free online collaborative graphing tool. 7 タイトルや軸ラベルを…. setZoomAround( offset, zoom, options) this: Zooms the map while keeping a specified pixel on the map (relative to the top-left corner) stationary. Dash has been announced recently and it was featured in our Best of AI series. CACHE DASH SPLASH Home; Events/Info. plotly is a Python library which is used to design graphs, especially interactive graphs. An open-source, interactive graphing library for Python. dash-plotly-132-histogram-map. Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more! Create Layouts with Plotly's Dash library. Our app, for Android and iOS, connects to your car with a low-cost, easy to install device, called a ODB2. I explore and visualize data with powerful tools like heat maps, 3D surface plots, histograms and other charts. FusionCharts is a famous JavaScript charting library that provides more than 90 charts (including 3d data visualizations) and 1000 maps for almost all type of devices – desktop, web, mobile apps, and platforms. It provides abstractions for doing common things (e. Yesterday we released Plotly. Plotly is a web-based data visualization platform for data scientists and engineers. Graph` component. 推荐:这才是你寻寻觅觅想要的 Python 可视化神器Plotly Express 是一个新的高级 Python 可视化库:它是 Plotly. Plotly Dashboard for Rasdaman. 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: