Brief Intro to Data Visualisation
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Data visualization is used to communicate data to people graphically and make complex data accessible. The main goal is to clearly convey information. Data visualization draws from many disciplines including graphic design, information design, journalism, data science, computer science, and statistics. Effective data visualization maintains data integrity, has a high data-to-ink ratio to convey as much data as possible clearly, and avoids non-informative elements that distract from the data. It can be done through both hand-crafted and generated tools.
Brief Intro to Data Visualisation
- 1. A Brief Introduction to Data Visualisation Data Visualisation Melbourne
- 2. to communicate data to people graphically and in a meaningful way. The main goal of data visualisation is to clearly convey information and to make complex data accessible. def:
- 3. Science Art Data Visualisation is interdisciplinary Graphic Design Information Design Journalism Data Science Computer Science Statistics Creative Coding Cartography
- 4. Big Data People?????Data Visualisation
- 5. “Data”
- 6. www.accurat.it/ Data vis = Art
- 7. http://guns.periscopic.com/ Data vis = Storytelling
- 8. hint.fm/wind/ Data vis = Spacial
- 9. Data vis = Product Gephi Fitbit NASA
- 11. Edward Tufte Data Integrity: do not distort what the data has to say Data:ink ratio: visual elements convey as much data as possible Avoid chartjunk: non-informative elements that distract from the data Substance over methodology or production SparklinesSmall Multiples
- 12. Hand-crafted Generated Tools Tableau Highcharts Many Eyes Excel R Gephi (network) CartoDB (mapping) TileMill (mapping) D3 (web) Processing Nodebox Raphael Illustrator Pen & Paper