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Intro to data visualisation
The document provides an overview of data visualization within data-driven journalism, emphasizing the importance of communicating complex information through compelling visual storytelling. It outlines key components that make effective infographics, such as data quality, design aesthetics, and the narrative aspect, alongside tools and techniques for creating visual content. Additionally, it offers resources for further learning and advanced techniques for producing interactive visualizations.
In this document
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Overview of data visualisation and its role in data-driven journalism.
Insights from experts on visual storytelling and examples of impactful data visualisation sites.
Essential components of effective infographics: data, design, story, and shareability.
Important design elements including layout, colours, interaction, and data source preparation tools.
Various applications and services for data visualisation including creation of maps, charts, timelines, and advanced custom visuals.Recommendations for videos, podcasts, websites, and books on data journalism and visualisation best practices.
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Intro to data visualisation
- 1. Intro to DataVisualisation
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- 4. "Communicating complex data and intricateideas through clear and beautiful visual storytelling." - Tobias Sturt – Design Manager, The Guardian Digital Agency
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- 13. What Makes aGood Infographic? • Data • Design • Story • Shareability http://dashburst.com/chart/what-makes-a-good-infographic/
- 14. Story • Data visualisationsmay be – Insightful vs Infotainment – Exploratory vs Explanatory
- 15. Design • Graphical layoutand design – Colours & Typeface – Proximity & placement – Accessibility • Interaction / User Experience Design – Static vs interactive – Mobile device / touch support? • Custom design vs using existing tools and visualisation techniques
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- 18. Data • Data Sources – Open Data e.g. http://data.gov.au/ – Scraping e.g. https://scraperwiki.com/ – Cite your data sources! • Preparing Data: – Filter & Clean – Tools: • DataWrangler, • OpenRefine • CSVKit https://github.com/onyxfish/csvkit • Tabula http://source.mozillaopennews.org/en-US/articles/introducing-tabula/ Online App Tool Tool
- 19. Data Wrangler Online App:http://vis.stanford.edu/wrangler/ Online
- 20. Open Refine (Formerly GoogleRefine) http://openrefine.org/ App
- 21. Data Visualisation Tools • Off-the-shelf apps and services for creating: – Maps – Charts – Timelines – Network diagrams – And more…
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- 27. Basic Charts • Excelor OpenOffice.org Calc • Google Charts and Google Fusion Tables – http://imagecharteditor.appspot.com/ Online App
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- 36. Word clouds -Tagxedo http://www.tagxedo.com/ Online
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- 38. Shareability • Vector Graphicssoftware: – Adobe Illustrator – Inkscape http://inkscape.org/ • Publish zoomable infographics online: – http://www.closr.it/ – http://zoom.it/ • Tracking impact: – Google analytics http://www.google.com/analytics/ – Pixel-ping http://documentcloud.github.io/pixel-ping/ App App Online Online Online Tool
- 39. Advanced Techniques • Forcreating custom, interactive visualisations (some coding required): – R http://www.r-project.org/ – Processing http://processing.org/ – Visualisation code libraries e.g. • Data-Driven Documents (D3) http://d3js.org/ • Prefuse http://prefuse.org/
- 40. Resources • Videos: – http://datajournalism.stanford.edu/ – http://teachingtosee.org/film/TeachingToSee.html • Podcast: – http://datastori.es/ • Websites: – http://www.visualizing.org/ – http://visual.ly/ – http://flowingdata.com/ – http://www.visualcomplexity.com/vc/ – http://www.informationisbeautiful.net/
- 41. Books • Data JournalismHandbook – http://datajournalismhandbook.org/1.0/en/ • The Back of the Napkin: Solving Problems and Selling Ideas with Pictures - Dan Roam • The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures - Donna M. Wong • Show Me the Numbers: Designing Tables and Graphs to Enlighten - Stephen Few