6 things to know about data vizualizations
- 1. 6 3 Things you need to know about Data Visualizations Tools Laura McCanlies 11/17/2016
- 2. Introductions… I'm Laura M McCanlies, a advocate for young #women and #education. A DATA driven technology leader that enjoys enabling solutions that increase profits & customer retention.
- 3. What is it Data Visualization? Is the visual representation of data and the study of the presentation of Data in a visual way..
- 4. The Human Brain is amazingat recognizing shapes and patterns SOOURCE: fundamentalwaysweusedatavisualizations-140707073711-phpapp01.pdf> http://initialstate.com
- 6. I. What makes an effective a Data Visualization? INFORMATION needs to be interesting (meaningful and relevant) and have integrity (accuracy & consistency) DESIGN - needs to have form (beauty & structure) and function (easy to work and use)
- 7. II. The Fundamental Ways to Use Data Visualizations 1.To Analyze 2.To Discover 3.To Tell a Story 4.To Support a Story 5.And to Teach SOOURCE: fundamentalwaysweusedatavisualizations-140707073711-phpapp01.pdf> http://initialstate.com
- 8. 1 . Analyze Ource: Panoramix - an open source data exploration, visualization and dashboarding platform
- 9. 2. Discover
- 10. 3. Create a Story
- 11. 4. Support a Story Source: MIT Review
- 13. III. Selecting Data Visualization Tools ($ or $) - MUST 1. Ease-of use and an intuitive user interface 2. Various visualization components (charts) 3. Connectivity True ad-hoc data discovery 4. Support for data loading and analysis with alternative approaches 5. OTB functionality for “simple” analytics (e.g. forecasting, clustering, classification)
- 14. • In-line and ad-hoc data wrangling • capabilities to realize advanced analytics • Support for integrating any additional advanced analytics and machine learning frameworks III. Selecting Data Visualization Tools ($ or $) - WANT
- 15. Tools Most recommended: • Datawrapper • Chart JS • Charted • D3 • Raw • Dygraphs - Tableau - Qlik - Microsoft - Alteryx - SAS - SAP - Microstrategy - Birst - Domo - Salesforce - etc. Commercial Open Source Data Visualization Tools Other new Big Dataviz tools
- 16. How to Start ? Select Story to Tell Obtain Good Data Set Model Evaluate Results Evaluate a Tool: 1. Why problem trying to solve? 2. What Data Sets are good to use? 3. Who will use?
- 17. What is Next in Data Visualization? The next frontier in data visualization is clearly immersive experiences using VR
- 18. Questions?
- 20. General Info • Top Data visualization Tools Books :http://www.datasciencecentral.com/m/blogpost?id=6448529%3ABlogPost%3A4 42075 • http://selection.datavisualization.ch/ • VR data visualizations https://arxiv.org/ftp/arxiv/papers/1410/1410.7670.pd • https://www.gartner.com/doc/reprints?id=1-2XXET8P&ct=160204 f • https://marketinginsidergroup.com/content-marketing/how-to-create-story- driven-data-visualization-5-steps/