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Designing A New Way Forward
No More Noise!
Communicating Effectively 

Through Data Visualization
Hello From NYC!
How Will We Be Spending Our Time?
30
5
20 10
30
5
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
!
• 

• 

•
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’s
PART THREE
Tying It All Together 

The Yale Environmental Performance Index
www.epi.yale.edu
PART FOUR
Summing Up
PART FIVE
Best Practices
KNOW YOUR AUDIENCE

Effective data visualizations cater to the audience, so it’s important to understand
where your audiences fall on the lay person / expert spectrum.
SIMPLER IS BETTER

Don’t overcomplicate your visualization; the simpler you keep things, the more
efficient the visualization will be in getting a point across.
CONSISTENCY = LOGIC

A consistent design system of colors, fonts, illustration and charts helps
audiences navigate the visualization and speeds comprehension.
RESPECT THE DATA

Accuracy 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
Matthew.Schwartz@ms-ds.com
212-925-6460 ext. 124
On Twitter @msdsbranding
www.ms-ds.com

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No More Noise! Effective Communication Through Data Visualization

  • 1. Designing A New Way Forward No More Noise! Communicating Effectively 
 Through Data Visualization
  • 3. How Will We Be Spending Our Time? 30 5 20 10 30 5 History of Dataviz Audiences & Intents Dos & Don'ts Case Study Summing Up Discussion
  • 4. A Brief History of 
 Data Visualization PART ONE
  • 5. Babylonian Map of the World, the oldest known data visualization 600 BCE 1939 Today
  • 6. 600 BCE 1939 Today Willard C. Brinton pens the defining work on data visualization
  • 7. The information age: data visualization of Tweets across the globe 600 BCE 1939 Today
  • 9. 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 ! • 
 • 
 •
  • 10. The Three Primary Intents of Dataviz RESEARCH COMMUNICATIONSANALYTICS
  • 12. Google Spreadsheet: OECD Factbook 2012
  • 13. Google Public Data Explorer: OECD Factbook 2013
  • 14. Wired Magazine: “What a Hundred Million Calls to 311 Reveals about NYC
  • 21. Dropout Epidemic By The Numbers: Narrative-Influenced Communication
  • 22. Dangers of Fracking: Narrative Communications Supported by Data
  • 23. Some Do’s & Dont’s PART THREE
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. Tying It All Together 
 The Yale Environmental Performance Index www.epi.yale.edu PART FOUR
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 36. Best Practices KNOW YOUR AUDIENCE
 Effective data visualizations cater to the audience, so it’s important to understand where your audiences fall on the lay person / expert spectrum. SIMPLER IS BETTER
 Don’t overcomplicate your visualization; the simpler you keep things, the more efficient the visualization will be in getting a point across. CONSISTENCY = LOGIC
 A consistent design system of colors, fonts, illustration and charts helps audiences navigate the visualization and speeds comprehension. RESPECT THE DATA
 Accuracy is critical when translating data into a visual language, but it’s also important to ensure that underlying meaning isn’t lost in translation.
  • 37. 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.
  • 38. No More Noise! Get in Touch Designing A New Way Forward Matthew Schwartz Matthew.Schwartz@ms-ds.com 212-925-6460 ext. 124 On Twitter @msdsbranding www.ms-ds.com