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Book
xiv, 205 pages : illustrations ; 23 cm
  • Chapter 1: Data Defined Climbing the pyramid A brief history of the data world Data file formats Chapter 2: Clues for uncovering data Why agencies collect, analyze, publish data Clues from data entry Clues from reports Tricks to uncover forms and reports On your own Chapter 3: Online databases Destination: data portals Statistical stockpiles Agency sites Non-governmental resources Data search tricks Don't forget the road map On your own Chapter 4: Identifying and requesting offline data Other clues for offline data Find the data nerd Requesting the data Writing the data request FOIA in action Negotiating through obstacles Getting help On your own Chapter 5: Data dirt is everywhere All data are dirty Detecting dirt in agricultural data Changed rules = changed data On your own Chapter 6: Data integrity checks Big-picture checks Detailed checks On your own Chapter 7: Getting your data in shape Column carving Concatenate to paste Date tricks Power scrubbing with OpenRefine Extracting data from PDFs On your own Chapter 8: Number summaries and comparisons Simple summary statistics Compared to what? Benchmarking On your own Chapter 9: Calculating summary statistics and number comparisons Sum crimes by year Minimum and maximum numbers Amount change Stepping up to percent change Running rates Running ratios Percent of total More summarizing On your own Chapter 10: Spreadsheets as database managers Sorting Filtering records Grouping and summarizing On your own Chapter 11: Visualizing your data Data visualization defined Some best practices Chapter 12: Charting choices Visualizing data with charts On your own Chapter 13: Charting in Excel Pie chart Horizontal bar charts Column and line charts Scatterplot Stock chart Sparklines On your own Chapter 14: Charting with Web tools Online visualization options Evaluating web visualization platforms Creating Fusion Table charts On your own Chapter 15: Taking analysis to the next level Database managers Statistical programs.
  • (source: Nielsen Book Data)9781483333465 20160618
We are swimming in a world of data, and this handy guide will keep students afloat while they learn to make sense of it all. David Herzog, a journalist with more than 15 years of experience using data analysis to transform information into captivating storytelling, introduces readers to the fundamentals of data literacy. Assuming the reader has no advanced knowledge of data analysis or statistics, the book shows how to create insight from publicly-available data. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers to master: * What data is and what it isn't, * How to develop a "database set of mind, " * How to gather data, How to evaluate data, * How to clean up "dirty data, " * How to visualize data, and * How to use tools for data analysis and visualization.
(source: Nielsen Book Data)9781483333465 20160618
Green Library, Marine Biology Library (Miller)
COMM-273D-01
Book
xiv, 249 pages : illustrations, maps ; 23 cm
  • 1. Data Journalism: What Computer-Assisted Reporting Is and Why Journalists Use It History of Computer-Assisted Reporting The Basic Tools Trial and Error and Repetition Where You Are Going Practical Advice CAR Wars Chapter Checklist Your Turn to Practice Part I. Learning Computer-Assisted Reporting Skills 2. Online Resources: Researching and Finding Data on the Internet Finding Data Digital Information and Data on the Internet Using Online Resources What Online Resources to Use Digital Library Researchers and Journalists Newsroom Databases Discussion Groups and Social Media Using Boolean Logic to Search the Internet Downloading Databases Different File Types Downloading Different Files CAR Wars Chapter Checklist Your Turn to Practice 3. Spreadsheets, Part 1: Basic Math for Journalists Becoming Friendly with Numbers Learning Addresses Calculating Percentages Going from Horizontal to Vertical Comparing Parts to the Sum Sorting the Results Using Average and Median for Better Accuracy Interpreting Outliers CAR Wars Chapter Checklist Your Turn to Practice 4. Spreadsheets, Part 2: More Math That Matters Rates Ranking Filtering Ratios Pivot Tables Charts and Graphs CAR Wars Chapter Checklist Your Turn to Practice 5. Database Managers, Part 1: Searching and Summarizing The Query Selecting and Searching Criteria and Filtering Sorting Boolean Logic: And, Or, Not Grouping CAR Wars Chapter Checklist Your Turn to Practice 6. Database Managers, Part 2: Matchmaking and Advanced Queries Relational Databases Joining Tables Enterprise Matchmaking Structured Query Language CAR Wars Chapter Checklist Your Turn to Practice Part II. Using Computer-Assisted Reporting In News Stories 7. Getting Data Not on the Web: How to Find and Negotiate for Data Finding Data Obtaining a Database The Record Layout Privacy and Security Issues High Costs Importing CAR Wars Chapter Checklist Your Turn to Practice 8. Building Your Own Database: How to Develop Exclusive Sources When to Build Spreadsheet or Database Manager Using the Database Manager Creating a Relational Database CAR Wars Chapter Checklist Your Turn to Practice 9. Fact Checking the Database: How to Find and Clean Dirty Data Kinds of Pitfalls Two Rules Record Layout Record Layout Miscues Cryptic Codes Sorry, Wrong Number Where Is the Standard? Header-aches Numbers versus Text Offensive Characters Parsing CAR Wars Chapter Checklist Your Turn to Practice 10. Doing the Computer-Assisted Reporting Story: How to Report and Write with Data Pick a Story You Know Can Be Done Pick a Database You Can Get Some First-Time Examples Start Small Building Your Own Match the Database to Your Knowledge The Minimum Story Keep Up with Other Reporters' Work Integrate Databases into Your Daily Work Find a Partner Becoming Familiar with the Field of Data Processing Look for Tips Writing the Story Good Reporting and Ethics Stay Curious, Get Excited Reporting with CAR CAR Wars Chapter Checklist Your Turn to Practice APPENDICES A. A Short Introduction to Mapping B. A Short Introduction to Social Network Analysis C. Choosing Hardware and Software Selected Bibliography Glossary.
  • (source: Nielsen Book Data)9780765642196 20181008
This straightforward and effective how-to guide provides the basics for any journalist or student beginning to use data for news stories. It has step-by-step instructions on how to do basic data analysis in journalism while addressing why these digital tools should be an integral part of reporting in the 21st century. The book pays particular attention to the need for accuracy in computer-assisted reporting and to both the potential and pitfalls in utilizing large datasets in journalism. An ideal core text for courses on data-driven journalism or computer-assisted reporting, Houston pushes back on current trends by helping current and future journalists become more accountable for the accuracy and relevance of the data they acquire and share. Online instructor's materials are available to adopting professors, and additional exercises are available free online to students at the below address: http://ire.org/carbook/ username: carbook password: carbook4.
(source: Nielsen Book Data)9780765642196 20181008
Green Library
COMM-273D-01
Book
xxi, 554 p. ; 23 cm.
Green Library
COMM-273D-01
Book
xxi, 553 pages ; 24 cm
  • Introduction: paper trails and people trails: an overview
  • Secondary sources: working from the outside in
  • Primary documents: obtaining the best evidence
  • Computer-assisted information gathering and other access tools
  • Access to information about other nations and across national borders
  • People trails: finding and interviewing sources
  • Investigating government: the legislative branch and those who try to influence it
  • Investigating government: the executive branch
  • Investigating government: education
  • Investigating government: law enforcement
  • Investigating government: the judicial system
  • Where government and private sector meet: investigating licensed professionals
  • Investigating the private sector: for-profit businesses and their workers
  • Investigating charities and other not-for-profits
  • Investigating health care
  • Investigating insurance
  • Investigating financial institutions: banks, savings and loans, credit unions, investment companies and their mutual funds
  • Investigating energy and communications utilities
  • Investigating transportation
  • Investigating real estate: housing, commercial uses and zoning
  • Investigating environmental issues
  • Investigating the world of the disadvantaged
  • Writing compelling projects
  • The ethics and accuracy of investigative journalism.
Green Library
COMM-273D-01