{"database": "nicar", "table": "sessions", "is_view": false, "human_description_en": "where location_room = 16", "rows": [[61, 4275, "Excel 1: Getting started with spreadsheets (repeat)", "In this introduction to spreadsheets, you'll begin analyzing data with Excel, a simple but powerful tool. You'll learn how to enter data, sort it, filter it and conduct simple calculations like sum, average and median. This session is good for: Data beginners. ", 16, "2019-03-09", "2019-03-09 14:15:00", "2019-03-09 15:15:00", 0, 0, 0, "Janelle O'Dea, St. Louis Post Dispatch ", 3, null, null, "Excel 1: Getting started with spreadsheets (repeat)"], [63, 4276, "Excel 2: Formulas & sorting (repeat)", "Much of Excel's power comes in the form of formulas. In this class, you'll learn how to use them to analyze data with the eye of a journalist. Yes, math will be involved, but it's totally worth it! This class will show you how calculations like change, percent change, rates and ratios can beef up your reporting. This session is good for: Anyone who is comfortable navigating Excel. ", 16, "2019-03-09", "2019-03-09 15:30:00", "2019-03-09 16:30:00", 0, 0, 0, "Sinduja Rangarajan, Reveal from The Center for Investigative Reporting ", 3, null, null, "Excel 2: Formulas & sorting (repeat)"], [65, 4274, "Excel 3: Filtering & pivot tables (repeat)", "A look at the awesome power of pivot \u2014 and how to use it to analyze your dataset in minutes rather than hours. We'll work up to using a pivot table by first sorting and filtering a dataset, learning how to find story ideas along the way. This session is good for: Anyone familiar with formulas and navigating Excel or another spreadsheet program. ", 16, "2019-03-09", "2019-03-09 16:45:00", "2019-03-09 17:45:00", 0, 0, 0, "Phillip Reese, The Sacramento Bee", 3, null, null, "Excel 3: Filtering & pivot tables (repeat)"], [76, 4267, "Finding the story: Covering class and poverty at the local level", "A discussion touching on the unseen aspects of covering class and poverty. This session will include an overview of key sources and documents and a guided exploration of data sets that can help you tell important but undercovered stories in your community. This session is good for: Everyone! ", 16, "2019-03-07", "2019-03-07 14:15:00", "2019-03-07 15:15:00", 0, 0, 0, "Heather Bryant, Project Facet", 3, null, 4, "Finding the story: Covering class and poverty at the local level"], [120, 4309, "Install party", "Need help installing that cool piece of software you learned about in another session? Bring your laptops and we'll help you get set up. ", 16, "2019-03-10", "2019-03-10 09:00:00", "2019-03-10 10:00:00", 0, 0, 0, "Caitlin Ostroff, McClatchy; Cody Winchester, IRE/NICAR; Matt Wynn, USA TODAY", 2, null, 1, "Install party"], [129, 4235, "Intro to web development", "If you've been trying to figure out what all the fuss is about HTML, CSS and JavaScript, this session is for you. This session will introduce you to the basics of web development, help you make sense of the jargon and answer your questions. At the end of the session, you will have built a simple web page using HTML, CSS and JavaScript. This session is good for: Beginners in web development. No coding experience required. ", 16, "2019-03-07", "2019-03-07 16:45:00", "2019-03-07 17:45:00", 0, 0, 0, "Melissa Lewis, The Oregonian/OregonLive.com ", 3, null, 4, "Intro to web development"], [136, 4280, "JavaScript 1: Fundamentals and syntax (repeat)", "Functions, \"for loops\" and objects: They can be confusing at first, but once you master these and other JavaScript coding conventions, you'll be able to build fancy data visualizations and more. In this class, you will learn the basic fundamentals and syntax of the JavaScript programming language. No coding experience is necessary. This session is good for: Beginners who want to start building things for the web. ", 16, "2019-03-10", "2019-03-10 10:15:00", "2019-03-10 11:15:00", 0, 0, 0, "Adelaide Chen, The Orlando Sentinel ", 3, null, null, "JavaScript 1: Fundamentals and syntax (repeat)"], [138, 4281, "JavaScript 2: Hello D3! (repeat)", "We\u2019ll cover the basics of getting started with D3, even if you\u2019ve never used it before. Then we\u2019ll take several real datasets and use them to create a few basic charts. This session is good for: People with a basic grasp of JavaScript syntax who are interested in building data visualizations for the web. ", 16, "2019-03-10", "2019-03-10 11:30:00", "2019-03-10 12:30:00", 0, 0, 0, "Tom Lauder, Los Angeles Times; Ellis Simani, Los Angeles Times", 3, null, null, "JavaScript 2: Hello D3! (repeat)"], [150, 4090, "MapCamp: QGIS *pre-registered attendees only", "Skill level: Intermediate ?Learn how to uncover interesting news stories by mapping data with geographic information system (GIS) software during our intensive mini-boot camp. Experienced journalists conduct this hands-on training using the latest version of QGIS, open source-software that runs on all platforms. We will look at noteworthy stories that have used mapping and show you how to uncover stories using census and other data. You\u2019ll learn how to display data geographically; import and query data; and geocode to merge databases with addresses into maps. In addition, we'll provide you with our detailed boot camp materials to help keep you on track long after you leave the conference. Preregistration is required and seating is limited. Laptops will be provided for the training. Workshop prerequisites: Participants should have basic knowledge in using relational database programs such as Microsoft Access, MySQL or SQLite. ", 16, "2019-03-08", "2019-03-08 09:00:00", "2019-03-08 17:45:00", 1, 1, 0, "David Herzog, IRE/NICAR; Jennifer LaFleur, Investigative Reporting Workshop", 3, null, 4, "MapCamp: QGIS *pre-registered attendees only"], [163, 4355, "No code required: Create compelling interactive data visualizations with Microsoft Power BI", "Join Microsoft's Modern Journalism Team for a hands-on workshop where you'll learn to use Microsoft\u2019s free Power BI software and cloud service (Excel\u2019s data visualization cousin) to quickly create and publish engaging interactives that uncover the story hidden in the data. The session will also show how to style your interactive for your publication or station. You\u2019ll learn to: Connect a data set Clean up the data Drag-and-drop existing data visualization options onto the canvas Customize colors and fonts to create a style-consistent visualization Publish the visualization to your website or big screen for in-studio use \u2026all through powerful, menu-driven software that readily connects to numerous data sources. This session is good for: Anyone, including data beginners. ", 16, "2019-03-09", "2019-03-09 11:30:00", "2019-03-09 12:30:00", 0, 0, 0, "Cathleen Crowley, Albany Times Union; Vera Chan & Lukasz Pawlowski, Microsoft", 3, null, 2, "No code required: Create compelling interactive data visualizations with Microsoft Power BI"], [192, 4217, "QGIS 1: Mapmaking for beginners", "Learn to how to make your own maps using free, open-source software called QGIS. This class will teach you how to get started importing and displaying geographic data. Not all datasets need to be mapped, but some do! We'll go over how to find publicly available data, prepare it for mapping, and join together different datasets. This session is good for: beginners looking to learn the basics of visualizing geographic data. ", 16, "2019-03-09", "2019-03-09 09:00:00", "2019-03-09 10:00:00", 0, 0, 0, "Dan Dunford, BBC News; Clara Guiborg, BBC News", 3, null, 2, "QGIS 1: Mapmaking for beginners"], [193, 4222, "QGIS 2: Filtering and analyzing geographic data to make maps", "Build on your existing knowledge of QGIS and learn how to filter and analyze geographic datasets, before familiarising yourself with exporting the maps you have created using the print composer. We will cover techniques like merging and dissolving polygons, using Open Street Map data in QGIS as well as aggregating point data for easier analysis. This session is good for: those who attended the QGIS I workshop or already know the basics of visualizing geographic data in QGIS. ", 16, "2019-03-09", "2019-03-09 10:15:00", "2019-03-09 11:15:00", 0, 0, 0, "Will Dahlgreen, BBC News; Nassos Stylianou, BBC News", 3, null, 2, "QGIS 2: Filtering and analyzing geographic data to make maps"], [201, 4245, "R: Intro stats in R", "Learn how to use R to spot trends and identify relationships in data using social science theories and methods. In this session, we will use R for statistical significance tests, cross-tabulations and linear regression. This session is good for: Anyone who is comfortable working with spreadsheets and database managers and wants to learn how to do basic statistical analysis. Some experience with R will be helpful. ", 16, "2019-03-07", "2019-03-07 15:30:00", "2019-03-07 16:30:00", 0, 0, 0, "Olga Pierce, ProPublica ", 3, null, 3, "R: Intro stats in R"], [208, 4208, "Share your work: Publishing your data analysis with R", "You will save time, produce better results, create more trusted analyses, reduce risk of errors and encourage collaboration by implementing reproducible data analysis workflow techniques. We will be going over tools like RMarkdown and interactive notebooks to weave together narrative text and code to produce formatted reports for sharing with collaborators (including your future self!). We will walk through hosting these reports and raw data files on GitHub. We will discuss best practices on how to structure your projects and repos. This session is good for: R users interested in improving their workflow ", 16, "2019-03-07", "2019-03-07 10:15:00", "2019-03-07 11:15:00", 0, 0, 0, "Christine Zhang, The Baltimore Sun ", 3, null, 2, "Share your work: Publishing your data analysis with R"], [211, 4272, "Sports data viz with R", "Sports is one area you won\u2019t struggle to find data or a very interested audience. Learn how to turn some basic R into interesting looks into games, teams and seasons. This session is good for: Anyone interested in R, visualizing data and sports. No previous experience with R is required. ", 16, "2019-03-07", "2019-03-07 09:00:00", "2019-03-07 10:00:00", 0, 0, 0, "Matt Waite, University of Nebraska", 3, null, 2, "Sports data viz with R"], [225, 4210, "Text mining in R with tidytext", "Do you want to analyze the themes, sentiment, and complexity of every State of the Union address, or analyze how Members of congress responded on Twitter to @realDonaldTrump? This session will introduce you to the tools needed to tackle these and other challenges in text analysis in R, using the tidytext package. This class is good for: those who are familiar with the basics of the tidyverse. 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