The IRE Resource Center is a major research library containing more than 23,250 investigative stories — both print and broadcast. Add to that more than 3,000 tipsheets from our national conferences on how to cover specific beats or do specific stories and you have a resource that no reporter or editor should be without. These stories and tipsheets are searchable online or by contacting the Resource Center directly (573-882-3364 or rescntr@ire.org) where a researcher can help you pinpoint what you need. Browse or search the tipsheet section of our library below. Logged-in members can view the tipsheets free online:
Search results for "data visualization" ...
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Developing reusable visualization components using D3 and Backbone
This session will step through a process for creating components for standards-based Web content, focusing in particular on the creation of common building blocks for data visualization in JavaScript. D3 is an increasingly popular choice for developing visual content and we will look at how items ranging from simple bar charts to custom graphics can be packaged up for easy reuse. Backbone is a widely used toolkit for creating browser-based applications and we will examine how its models and views can play a role in the creation of components. Consideration will be given to combination, customization and the power of reuse versus the perils of over-generalization. https://github.com/rflow/nicar-13-examples/blob/master/slides.key
Tags: data visualization; Java Script; D3; backbone
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The data-driven story part 3: bulletproofing and presentation
Learn how to "bulletproof" your data by doing integrity checks and learn tips to go beyond basic data checking.
Tags: Databases; sourcing; story visualization
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Mobile + DataViz: Friends or frenemies?
Look at how storytelling works on mobile devices in terms of design and building stories for "longevity."
Tags: Storytelling design; data visualization; mobile apps; news sites
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The data-driven story part 1: conceiving and launching
Start with the data basics: where to get data, how to request it, how to "interview" the data and analyze the information.
Tags: Database; story visualization
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Best Visualization Practices 101
How to make simple visualizations, taking into consideration typography, color, and labeling, advantages of different kinds of visualization: bar charts, line and area charts, maps, scatter plots.
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Free Data Tools for Data Visualization and Analysis
Explore the world of free tools that can aid with visualizing and analyzing various components of data.
Tags: Data Tools
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Data Visualization Examples and Tips
"You've done all of this great data work and it gets reduced to a single sentence. Now what? Learn how to visually show off your hard labor, whether in print, broadcast or on the Web." Thompson and Philips give great tips in this Powerpoint.
Tags: data; visualizing data; data on the web
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Public Spending Data in Tableau
With the help of Tableau Public, create and publish new data visualizations on public spending records.
Tags: tableau public; public spending; data sets
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Schools Data with Tableau Public
Let Tableau help you create and publish new data visualizations from the schools your are investigating.
Tags: test scores; Tableau Public; data mining
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Jigsaw
Stasko's powerpoint describes Jigsaw - a program created to "help 'investigators' explore, analyze and understand large document collections." It helps to create connections between documents that help to shape/understand the larger story. Jigsaw provides multiple visualizations for the documents, entities and their connections.