No More Noise! Effective Communication Through Data Visualization
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Transcript of No More Noise! Effective Communication Through Data Visualization
Designing A New Way Forward
No More Noise! Communicating Effectively Through Data Visualization
Hello From NYC!
How Will We Be Spending Our Time?
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History of Dataviz Audiences & Intents Dos & Don'ts Case Study Summing Up Discussion
A Brief History of Data Visualization
PART ONE
Babylonian Map of the World, the oldest known data visualization
600 BCE 1939 Today
600 BCE 1939 Today
Willard C. Brinton pens the defining work on data visualization
The information age: data visualization of Tweets across the globe
600 BCE 1939 Today
Data Visualization: Audiences & Intents
PART TWO
Understanding Your Audience
Lay Audiences
• Limited experience in related field
• General awareness of underlying issues
• Basic familiarity of data visualization
Expert Audiences
Extensive experience in related field
In-depth understanding of underlying issues
Advanced facility with data visualization
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The Three Primary Intents of Dataviz
RESEARCH
COMMUNICATIONSANALYTICS
RESEARCH
Google Spreadsheet: OECD Factbook 2012
Google Public Data Explorer: OECD Factbook 2013
Wired Magazine: “What a Hundred Million Calls to 311 Reveals about NYC
ANALYTICS
Google Analytics
Google Analytics: Dashboard
Campaign Monitor Analytics
Tableau: Dashboard
COMMUNICATIONS
Pollution Atlas: Data-Centric Communication
Dropout Epidemic By The Numbers: Narrative-Influenced Communication
Dangers of Fracking: Narrative Communications Supported by Data
Some Do’s & Dont’sPART THREE
Tying It All Together The Yale Environmental Performance Index www.epi.yale.edu
PART FOUR
Summing UpPART FIVE
Best Practices
KNOW YOUR AUDIENCEEffective data visualizations cater to the audience, so it’s important to understand where your audiences fall on the lay person / expert spectrum.
SIMPLER IS BETTERDon’t overcomplicate your visualization; the simpler you keep things, the more efficient the visualization will be in getting a point across.
CONSISTENCY = LOGICA consistent design system of colors, fonts, illustration and charts helps audiences navigate the visualization and speeds comprehension.
RESPECT THE DATAAccuracy is critical when translating data into a visual language, but it’s also important to ensure that underlying meaning isn’t lost in translation.
Top-Level Takeaways
• Data Visualization is not new, but it is enjoying a renaissance
• Dataviz helps us research and achieve a deeper understanding of abstract phenomena that can’t be easily explained
• Visual analytics help us to synthesize data dynamics and understand complex systems through different lenses
• Dataviz communications help us translate data into more compelling stories to wider audiences, raising awareness and generating action
• Effective Data Visualization best practices balance the need for visual interest to engage audiences, while maintaining respect for the data.
No More Noise! Get in Touch
Designing A New Way Forward
Matthew Schwartz [email protected] 212-925-6460 ext. 124 On Twitter @msdsbranding www.ms-ds.com