The Data Science Handbook Pdf

data-science product. This book describes the process of analyzing data. Outliers are data points which lie outside the general linear pattern of which the midline is the regression line. The Data Science Handbook is a compilation of in-depth interviews with 25 remarkable data scientists, where they share their insights, stories, and advice. Use key words to prove your hypothesis correct or incorrect such as average, percent, and total. 0000 V to + 3. The Computing Science programme has a small number of. Sources of Information This Handbook provides program information specifically for the undergraduate Computational Data Sciences major. 1 Project Management 1. of data science as improving decision making as this generally is of direct interest to business. The Cooperative Extension has the primary responsibility of operating the Soil, Plant, and Water Laboratory, providing recommendations, educational materials and supplies. 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In short, the subjects of program composition and data structures are inseparably interwined. The Western Sydney University course and unit Handbook is the official handbook published each year by the University as the official reference for courses and units offered. Sections of this page. 4 Data Management 1. The purpose of this handbook is not to specify requirements but, rather, to discuss the benefits of various computer security controls and situations in which their application may be appropriate. The font text of Ncert Class 10th Science Book is very attractive and simple. and professional identity distinct from security studies, political science and International Relations. This handbook is intended to be a focal point of information for data science graduate students and their advisors. This handbook is not in itself a policy document, but is based almost entirely upon laws, directives, instructions, manuals and other policy documents. What is Biomedical Data Science? Data science is the combined use of tools and concepts from statistics and computer science for gathering, integrating, analyzing, interpreting, and visualizing data for scientific inquiry and decision-making. Python For Data Science Cheat Sheet Pandas Basics Learn Python for Data Science Interactively at www. View Notes - Python Data Science Handbook. time series data “Strictly speaking, a time series is a sequence of measurements of some quantity taken at different times, often but not necessarily at equally spaced intervals. Data Science Handbook. HANDBOOK OF DIGITAL CURRENCY Bitcoin, Innovation, Financial Instruments, and Big Data Edited by DAVID LEE KUO CHUEN Sim Kee Boon Institute for Financial Economics, Singapore Management. 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The Master of Science in Accounting (MSA) program is a 34 hour program designed to provide students with the necessary technical knowledge, communication skills, and critical thinking abilities for successful careers in public accounting, industry, government, and not-for-profit. Occupational injury data from industry studies indicate that the injury rate is highest during the initial period of employment and decreases with experience. 5 Historical context 25 1. Examines the science and arguments of global warming skepticism. Finally we can divide through by p(B): p(AjB) = p(A) p(BjA) p(B) And that’s Bayes’s theorem! It might not look like much, but it turns out to be surprisingly powerful. variables are what make the data interesting, and they are what we want to find out about in our data analysis. This expert from the book Curating Research Data Volume Two: A Handbook of Current Practice by Lisa R. Food Science and Food Safety Postgraduate Handbook 2018 PDF Download this PDF 558. There's almost no overlap between the data scientists interviewed, so check out both!. 5 Product Assurance 1. It doesn't offer any technical or mathematical insight, but it's a great read for anyone who's thinking about data science as a career and wondering what it entails, what roles are out there, and whether it might be right for them. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all?IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and. Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. 7 out of 5 stars 18. Every customer of the official grain inspection and weighing system receives consistent, accurate service because every official service provider operates under uniform standards and procedures that are communicated through technical handbooks. The Animal Science discipline includes education about the technology of breeding, feeding, producing, managing, evaluating, and marketing animals, as well as the processing and marketing of animal products. Small data sets, such as result from designed experiments,. Goals of this book. Automotive Handbook 7th EDITION Materials science Chemical elements Empirical values and data for calculation Comparisons. The handbook and videos are intended as an introduction to cell culture basics, covering topics such as getting familiar with the requirements of a laboratory dedicated to cell culture experiments, laboratory safety, aseptic technique, and microbial contamination. It’s the next-best thing to learning R programming from me or Garrett in person. In 2019, when entering or trying to understand the front-end developer space you will absolutely feel this divide. EPA-600/R-94/038a, April 1994 (PDF) (54pp, 1. Of the several different research approaches available, this book focuses on those approaches which can be applied to solve questions or problems that are directly related to everyday life. Hadley Wickham. Each piece of information listed is available as a separate item on the CD-ROM version of the handbook—as both an HTML and a PDF file. Python Data Science Handbook Pdf. Data Science Certificate. If you want to become an Ipython legend, this is one of the best books on data science on offer at the moment. This is an excerpt from the Python Data Science Handbook by Jake VanderPlas; Jupyter notebooks are available on GitHub. 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Supervised Learning: - The set of data (training data) consists of a set of input data and correct responses corresponding to every piece of data. Data science - a broader range of units related to data science Advanced data analytics - more depth in data analysis and machine learning. General concepts about how data science fits in the organization and the compet‐ itive landscape including ways to attract structure and nurture data science teams ways for thinking about how data science leads to competitive advantage ways that competitive advantage can be sustained and tactical principles for doing well with data science. Custodial/Janitorial Handbook White Settlement ISD CUSTODIAL AND JANITORIAL SAFETY RULES The following are some important general janitorial and custodian safety rules that each employee is required to follow: 1. 1) The randomized controlled trial and comparison group quasi-experimental design standards published in 2008 are reproduced in this document, along with the standards for regression discontinuity designs and singlepilot -case designs that were completed in 2010. And that’s what this episode focuses on, and we leverage data and findings from more than three years’ worth of retail data to do it. Learn More; New! 2 Day Data Science Course in Seattle. using data for program purposes is a complex undertaking it calls for a process that is both systematic and organized over time. Vaishnavi V. The Master of Science in Business Analytics prepares individuals for careers in strategic data management. General concepts about how data science fits in the organization and the compet‐ itive landscape including ways to attract structure and nurture data science teams ways for thinking about how data science leads to competitive advantage ways that competitive advantage can be sustained and tactical principles for doing well with data science. tanthiamhuat. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. The authors also ensure that the reader gets the gist of R by explaining the programming style in a simple way. Big data, artificial intelligence, machine learning and data protection 20170904 Version: 2. Buy Python Data Science Handbook: Tools and Techniques for Developers 1 by Jake VanderPlas (ISBN: 9781491912058) from Amazon's Book Store. This is the website for "R for Data Science". Download Data Science from Scratch by Joel Grus PDF eBook free. Gonnet Informatik, ETH Zürich. The emergence of the web and social networks as central aspects of daily life presents both opportunities and challenges for theory. 8 CHAPTER 1 Systems and Environment of the Public Sector Public sector organizations operate in much different environments than their counterparts in the private sector. In the case of rivers this is generally the sea, but may be an inland water body, such as a lake or swamp. , 8th edition, presents in-. Data Science is an ever-growing field, there are numerous tools & techniques to remember. Gutierrez, Managing Editor of insideBIGDATA. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. The Handbook of Chemistry and Physics is a comprehensive one-volume reference resource for science research. With more than 170 complete new data sheets, and full revisions of prior data sheets, over 85% of the content is either new or revised for the fifth edition. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Registering for the CAP site gives you full access to a wealth of information and material helpful for your pursuit of the Certified Analytics Professional designation, such as webinars, the CAP Study Guide and CAP Study Group, sample CAP exam and more – including the application. We have all books You Are Looking For. Data Science Handbook. NCERT Textbooks covers all concepts with every topic in a simple way. The Introduction to Data Science with Python seminar will consist of two parts. C hapters 3 through 5 contain ed specific data reduction and quality control procedures for each data collection t echnique. It is much more than: compilation of baseball scores, life and death tables, etc! Data Science is theextraction of knowledge from data, using ideas from mathematics, statistics, machine learning, computer programming, data engineering. All students should learn essential aspects of the knowledge, methods, processes and uses of science. Every customer of the official grain inspection and weighing system receives consistent, accurate service because every official service provider operates under uniform standards and procedures that are communicated through technical handbooks. This easily accessible and interactive handbook provides you with all the information you need to know about Undergraduate and Postgraduate study at UNSW. data and data management alongside traditional data. " [boslaugh] So, time series data will have measurements of observations (for example. The doctoral program is discussed, in detail, in a separate t handbook (School of Geosciences a. [email protected] HDip IN DATA SCIENCE AND DATA ANALYTICS MAYNOOTH UNIVERSITY STUDENT HANDBOOK 2018-2019 INTRODUCTION This HDip is a full-time conversion course (new in 2016) designed to prepare students for the fast expanding job market in Data Science and Analytics. Biomedical Data Science includes techniques such as machine learning and data mining, optimization, theory of data structures, formal study design methods for biomedical research, and. Applied Econometrics and Data Analytics Our M. They develop own ideas for small research projects and design approaches to solving these problems. The files listed on this page utilize the Adobe Acrobat Reader. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. 2 Intended audience and scope 18 1. EPA-600/R-94/038a, April 1994 (PDF) (54pp, 1. The removal of outliers from the data set under analysis can at. Development of this dictionary started in 1998 under the editorship of Paul E. Numerical data are presented in tabulated and graphical form, and a summary of useful formulae is included. We explore examples of how data analysis could be done. finance, natural science, engineering, computer science, social science, and business, will increasingly depend on big data collection and analysis. ” —Hadley Wickham. The strength of Science and its online journal sites rests with the strengths of its community of authors, who provide cutting-edge research, incisive scientific commentary, and insights on what. Sparky House Publishing, Baltimore, Maryland. About the book: Python has grown to be in popular use amongst many researchers due to its humongous community of developers, its versatility, and also because of its powerful libraries and. Will be assigned to your column if column has mixed types (numbers and strings). The book is appropriate for people who want to practice data science, but lack the required skill sets. Download Python Data Science Handbook Pdf or read Python Data Science Handbook Pdf online books in PDF, EPUB and Mobi Format. Animal Science is the study of animals and animal products. Listen now >>. At the time of the preparation of this chapter, the referenced codes and other standards were valid. Data Science Handbook. Thus, data for silver (Ag) precede those for aluminum (Al). The code was written and tested with Python 3. 20585 Distribution Statement A. If you want to learn Python from scratch, this free course is for you. I've been giving my own students this material since I started teaching, and the students who use it never fail, and their average grade is one or two letter grades higher than other students in the same class. Hard Rock Miner’s Handbook is a work of the heart. Welcome to the data repository for the Artificial Intelligence course by Hadelin de Ponteves and Kirill Eremenko. Some of them are very good. Data Analysis for Life and Earth Sciences. The python data science handbook is the best python tutorial I have read. course that semester. Listen now >>. Travel Time Data Collection Handbook 7-1 7 DATA REDUCTION, SUMMARY, AND PRESENTATION This chapter provides guidance on the reduction, summary, and presentation of travel time data. Resistant starch is the starch that is ‘resistant’ to enzymatic digestion in the small intestine. This is installment 5 of 6; see the entire series here! This research has been conducted on anonymized, aggregated data. Stewardship of the Environment. These courses will teach you how to wrangle large, unstructured sets of data to gain insights and make data-driven decisions. We write code to clean data, to transform data, to scrape data, and to merge data. Everybody can take advantage of data science. This is the website for “R for Data Science”. In doing so, this document does not include a detailed description of all technical details of the Landsat 8 mission, but focuses on the information needed by the users to gain an understanding of the science data products. Python Data Science Handbook Pdf. The MSDS degree is a professional master’s program designed for students who want to begin or advance their careers in data science. The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. This is the Chemistry version of this practical handbook. Aly’s research work focuses on spatial systems, mobile/wireless computing and crowdsourcing. For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Jun 25, 2015 • Landsat 8 data users will be glad to hear that the new Landsat 8 Data Users Handbook is now available online in PDF format from USGS. Providing Unprecedented Access to Data Browse and download over 1,600 New York State data resources on topics ranging from farmers’ markets to solar photovoltaic projects to MTA turnstile usage. Registering for the CAP site gives you full access to a wealth of information and material helpful for your pursuit of the Certified Analytics Professional designation, such as webinars, the CAP Study Guide and CAP Study Group, sample CAP exam and more – including the application. Everybody can take advantage of data science. If the mean daily tempera-ture for a day is 46 °F (8 °C), one GDU will accumulate in that day. Designing statistical analysis. Of the several different research approaches available, this book focuses on those approaches which can be applied to solve questions or problems that are directly related to everyday life. 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This Handbook outlines the expectations, requirements, and policies pertaining to the Analytics & Data Science (ADS) Ph. This is the 8th edition, published in 1920. Every section of the book is presented with an exercise, so that the reader can work his way to ace R programming. General Python Cheat Sheet just the basics Created By: arianne Colton and Sean Chen Data structures Note : • 'start' index is included, but 'stop' index is NOT. Science process is not just useful in science, but in any situation that requires critical thinking. This would-be notion of Data Science is not the same as the Data Science being touted today, although there is significant overlap. 2019‐2020 School Psychology Program Handbook 3 Revised 9/20/19 Faculty Lisa Kelly‐Vance, Ph. Download python data science handbook or read python data science handbook online books in PDF, EPUB and Mobi Format. I will list Top 5 best book to learn Python for Data science. 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Explicit knowledge exists in the form of words, sentences, documents, organized data, computer programs and in other explicit forms. learn to their own data. 3 Guidelines for Student Intern. Introduction. Python Data Science Handbook Pdf. 001 alpha level). Carbon will be the biggest commodity market on earth, moving trillions of dollars, yearly, between banks thereby further delaying the inevitable collapse of a debt/fiat money based. variables are what make the data interesting, and they are what we want to find out about in our data analysis. The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. But there are a plethora of cheat sheets available out there, choosing. Welcome to Data Science at Lancaster Welcome on board the MSc in Data Science! This is the fifth year that we have run programmes in the expanding field of Data Science. Python Data Science Handbook: Essential Tools for Working with Data. Sections of this page. The Data Science Handbook provides readers with a way to have that in-depth conversation at scale. With a massive 42% of global consumers actively on the hunt for new and different, there’s never been a more important time to look at your brand targeting strategies. Each section of the manual can also be used independently to develop knowledge in a specific area, and the manual as a whole can be used as a reference book in health care settings. Robinson Deborah Baron. Using a modern browser that supports web standards ensures that the site's full visual experience is available. puter Security Handbook to provide guidance in recognizing these threats, eliminating them where possible and, if not, then to lessen any losses attributable to them. This following section outlines the core quantitative research methods used in social research. The Data Analytics Handbook. The data and information in this booklet have been collected for use in the Materials Courses in Part I of the Engineering Tripos (as well as in Part II, and the Manufacturing Engineering Tripos). A commercial data visualization package often used in data science projects. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Course Objective: This course aims at exposing students of accounting to the theory and practice of management, which has already attained the status of a profession and has been recognized as the fifth factor of production. Python Data Science Handbook by Jake VanderPlas Summary For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. It should be used as a supplement to the College of Engineering Undergraduate Programs. GRADUATE STUDY Introduction to Research in the School of Science 78 Graduate and Postgraduate Qualifications 80. The Data Science Handbook and the Data Analytics Handbook are both books that interview leading data scientists, who share stories about their career, insights from their jobs, and advice for aspirating data scientists. Earth Science Reference Handbook vii Acknowledgements The Earth Science Reference Handbook substantially revises and expands the content of the 1999 EOS Reference Handbook edited by Michael D. The book is appropriate for people who want to practice data science, but lack the required skill sets. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. This week, Facebook Data Science is shipping love in the form of a series of blog posts. DataCamp's Intro to Python course teaches you how to use Python programming for data science with interactive video tutorials. Providing Unprecedented Access to Data Browse and download over 1,600 New York State data resources on topics ranging from farmers’ markets to solar photovoltaic projects to MTA turnstile usage. OF PROGRAM AND STUDENT LEARNING OUTCOMES. Download Data Science from Scratch by Joel Grus PDF eBook free. In our previous posts 100 Data Science Interview Questions and Answers (General) and 100 Data Science in R Interview Questions and Answers, we listed all the questions that can be asked in data science job interviews. There is no way to cover every important topic for data analysis in just a semester. Looking for Competitive Programming Tutorials? They got moved here!. The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. 5, though most (but not all) snippets will work correctly in Python 2. R Programming for Data Science Roger D. Foundational and Computational Statistics Succinctly by Katie Kormanik provides the foundational bricks and mortar needed to master the theories and methodologies behind statistical procedures. Download or read it for free online here: Python Data Science Handbook. 2 Administrative Support 1. Please note that the information in this handbook does not address every possible scenario. Ricardo Baeza-Yates Dept. The design and production of the Handbook of Corrosion Engineering are drastically different than other handbooks dealing with the same subject. pdf - Free download Ebook, Handbook, Textbook, User Guide PDF files on the internet quickly and easily. 6 million more over their working life than a non-graduate. This publication was produced for review by the U. Principles of Community Engagement (Second Edition) provides public health professionals, health care providers, researchers, and community-based leaders and organizations with both a science base and practical guidance for engaging partners in projects that may affect them The principles of engagement can. Stewardship of the Environment. The Animal Science discipline includes education about the technology of breeding, feeding, producing, managing, evaluating, and marketing animals, as well as the processing and marketing of animal products. Python Data Science Handbook: Essential Tools for Working with Data to download this book the link is on the last page. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. In my Python for Data Science articles I'll show you everything you have to know. A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. General Python Cheat Sheet just the basics Created By: arianne Colton and Sean Chen Data structures Note : • 'start' index is included, but 'stop' index is NOT. Some of them are very good. The book is appropriate for people who want to practice data science, but lack the required skill sets. The doctoral program is discussed, in detail, in a separate t handbook (School of Geosciences a. Click Download or Read Online button to get python data science handbook book now. Data Science Initiative Graduate Program Handbook Academic Year 2018-2019 1Mission statement The Data Science Initiative seeks to provide the students in the Master's Program in Data Science with (1) a fundamental understanding of the methods and algorithms of data science and an appreciation of. This year, 2013, is The International Year of Statistics. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. 2 Administrative Support 1. 5, though most (but not all) snippets will work correctly in Python 2. Development of this dictionary started in 1998 under the editorship of Paul E. Principles of Community Engagement (Second Edition) provides public health professionals, health care providers, researchers, and community-based leaders and organizations with both a science base and practical guidance for engaging partners in projects that may affect them The principles of engagement can. Download the Book:The Data Science Handbook PDF For Free, Preface: A comprehensive overview of data science covering the analytics, programming, an More information Find this Pin and more on Big Data and Data Science by Kit Seeborg. Download Data Science from Scratch by Joel Grus PDF eBook free. It is possible to change programs after the start of the course, provided the appropriate subject specific courses are taken. And the great thing about the Python Data Science Handbook is the fact that you can use it for quick reference while you’re tackling important tasks or projects. woodworkslibrary. This is an excerpt from the Python Data Science Handbook by Jake VanderPlas; Jupyter notebooks are available on GitHub. What are the three major perspectives of physical geography? Why is a holistic approach important to understanding physical geography? The use of models and the analysis of various Earth. It will also prove a useful guide for supervisors in designing/supervising project work for students. CME594 Introduction to Data Science in Introduction to Data Mining, Pearson, pdf of chapter and Agent-Based Models" in Handbook of Regional Science. Reprinted in Holzer, M. We’re happy to announce the availability of a new free ebook, Data Science with Microsoft SQL Server 2016 (ISBN 9781509304318), by Buck Woody, Danielle Dean, Debraj GuhaThakurta, Gagan Bansal, Matt Conners, & Wee-Hyong Tok. The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. We have all books You Are Looking For. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham and Garrett Grolemund. Resistant Starch. 64 refers to the memory allocated to hold this character. We sat down with them, had in-depth conversations about their careers, personal stories, perspectives on data science and life advice. : PHYSICS PRACTICAL HANDBOOK” which covers all the experiments of Std XI. 3 Interface Control 1. contained in this handbook is the 2019 University of Waikato Calendar. THE FACULTY OF SCIENCE & TECHNOLOGY 6 Return to Table of Contents MESSAGE FROM THE DEAN Welcome to the Faculty of Science & Technology (FST), The University of the West Indies, St. Recent data shows that Python is still the leading language for data science and machine learning. 6 An applications-led discipline 31 2 Statistical data 37 2. These 25 data scientists hail from a wide selection of backgrounds, disciplines, and industries. Students are responsible for following the most current handbook. OSHA has a great deal of data that is in the public domain. Learn data science from top-rated data science instructors. How to develop survey protocols, a handbook (Version 1. Jack—whose 40+ year career spanned engineering, construction, and operation of mining projects worldwide—conceived of and wrote the first edition of the Handbook, published in June 2000, to assist miners and engineers in the difficult world of hard rock mining. Any handbook must meet the challenges of being comprehensive, but brief, well illustrated, and focused to clinical presentations as well as disease groups. The Animal Science discipline includes education about the technology of breeding, feeding, producing, managing, evaluating, and marketing animals, as well as the processing and marketing of animal products. For many of us, most of the time, what it means is writing and debugging code. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve. This publication was produced for review by the U. This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. 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: