• What we do
  • The People
  • About Us
  • Why Innovation Africa
  • Contact Us
Innovation AfricaCreating the Future Today
  • Feature Articles
  • Innovation
  • Agriculture
  • ICT
  • Technology
  • Entrepreneurship
  • Health
  • Store
  • Contact Us
Menu
  • Feature Articles
  • Innovation
  • Agriculture
  • ICT
  • Technology
  • Entrepreneurship
  • Health
  • Store
  • Contact Us
  • How to Tell a Story with Data

    April 25, 2013 Editor 0

    An excellent visualization, according to Edward Tufte, expresses “complex ideas communicated with clarity, precision and efficiency.” I would add that an excellent visualization also tells a story through the graphical depiction of statistical information. As I discussed in an earlier post, visualization in its educational or confirmational role is really a dynamic form of persuasion. Few forms of communication are as persuasive as a compelling narrative. To this end, the visualization needs to tell a story to the audience. Storytelling helps the viewer gain insight from the data. (For a great example, how much do you think steroids have influenced baseball?)

    So how does a visual designer tell a story with a visualization? The analysis has to find the story that the data supports. Traditional journalism does this all the time, and journalists have become very good at storytelling with visualization via infographics. In that vein, here are some journalistic strategies on telling a good story that apply to data visualizations as well.

    1. Find the compelling narrative. Along with giving an account of the facts and establishing the connections between them, don’t be boring. You are competing for the viewer’s time and attention, so make sure the narrative has a hook, momentum, or a captivating purpose. Finding the narrative structure will help you decide whether you actually have a story to tell. If you don’t, then perhaps this visualization should support exploratory data analysis (EDA) rather than convey information. However, for the designer of an exploratory visualization it is still important to spark the viewers’ imagination to encourage examining relationships among and facilitate interacting with the data – think gameification.
    2. Think about your audience. What does the audience know about the topic? Is it meant for decision makers, general interested parties, or others? The visualization needs to be framed around the level of information the audience already has, correct and incorrect:
      • Novice: first exposure to the subject, but doesn’t want oversimplification
      • Generalist: aware of the topic, but looking for an overview understanding and major themes
      • Managerial: in-depth, actionable understanding of intricacies and interrelationships with access to detail
      • Expert: more exploration and discovery and less storytelling with great detail
      • Executive: only has time to glean the significance and conclusions of weighted probabilities
    3. Be objective and offer balance. A visualization should be devoid of bias. Even if it is arguing to influence, it should be based upon what the data says–not what you want it to say. Tufte found numerous charts that misled viewers about the underlying data, and created a formula to quantify such a misleading graphic called the “Lie Factor.” The Lie Factor is equivalent to the size of the effect shown in the graphic, divided by the size of the effect in the data. Sometimes it is unintentional-a number that is three times bigger than another will be perceived nine times bigger if represented in 3D. There are simple ways to encourage objectivity: labeling to avoid ambiguity, have graphic dimensions match data dimensions, using standardized units, and keeping design elements from compromising the data. Balance can come from alternative representations (multiple clustering’s; confidence intervals instead of lines; changing timelines; alternative color palettes and assignments; variable scaling) of the data in the same visualization. Maintaining objectivity and balance is not a trivial effort and is easily unintentionally violated. Viewers and decision makers will eventually sniff out inconsistencies which in turn will cause the designer to lose trust and credibility, no matter how good the story.
    4. Don’t Censor. Don’t be selective about the data you include or exclude, unless you’re confident you’re giving your audience the best representation of what the data “says”. This selectivity includes using discrete values when the data is continuous; how you deal with missing, outlier and out of range values; arbitrary temporal ranges; capped values, volumes, ranges, and intervals. Viewers will eventually figure that out and lose trust in the visualization (and any others you might produce).
    5. Finally, Edit, Edit, Edit. Also, take care to really try to explain the data, not just decorate it. Don’t fall into “it looks cool” trap, when it might not be the best way explain the data. As journalists and writers know, if you are spending more time editing and improving your visualization than creating it, you are probably doing something right.


    Go to Source

    Related Posts

    • 9 Best Practices for Cleaning, Managing, and Tagging Your Data9 Best Practices for Cleaning, Managing, and Tagging Your Data
    • New surveys reveal dynamism, challenges of open data-driven businesses in developing countriesNew surveys reveal dynamism, challenges of open data-driven businesses in developing countries
    • 9 Ethical Considerations in Participatory Digital Mapping with Communities
    • A Computer Can Do Your International Development Job Thanks to Open Data
    • Power to Mortals
    • 14 big trends to watch in 2013
    Sovrn
    Share

    Categories: HBR, Insights

    Tags: data, tell a story, Tufte, visualization

    Modernizing education: You can’t find a job in your textbook Foster a Culture of Gratitude

    Leave a Reply Cancel reply

    You must be logged in to post a comment.

Subscribe to our stories


 

Recent Posts

  • SL Crowd Green Solutions September 21, 2020
  • Digital transformation in the banking sector: surveys exploration and analytics August 3, 2020
  • Why Let Others Disrupt You? Take the Smart Self-Disruption Journey! August 3, 2020
  • 5 Tips for Crowdfunding During the Pandemic August 3, 2020
  • innovation + africa; +639 new citations August 3, 2020

Categories

Archives

Popular Post-All time

  • A review on biomass-based... 0.9k views
  • Can blockchain disrupt ge... 682 views
  • Prize-winning projects pr... 678 views
  • Apply Now: $500,000 for Y... 605 views
  • Test Your Value Propositi... 533 views

Recent Posts

  • SL Crowd Green Solutions
  • Digital transformation in the banking sector: surveys exploration and analytics
  • Why Let Others Disrupt You? Take the Smart Self-Disruption Journey!
  • 5 Tips for Crowdfunding During the Pandemic
  • innovation + africa; +639 new citations
  • SME Innovation: 10 Priorities for Support Post-COVID-19 
  • Africa RISING Annual Progress Report 2018 – 2019 now available
  • Fodder beet feed supplementation delivers dairy success for Ethiopian farmers
  • Using theory of change for outcome-oriented research
  • Africa RISING partners publish soil fertility management guidebook

Tag Cloud

    africa African Agriculture Business Business model Business_Finance Company Crowdsourcing data Development East Africa economics Education Entrepreneur entrepreneurs Entrepreneurship ethiopia ghana Health_Medical_Pharma ict Information technology Innovation kenya knowledge Knowledge Management Leadership marketing mobile Mobile phone nigeria Open innovation Organization Research rwanda science Science and technology studies social enterprise social entrepreneurship south africa Strategic management strategy tanzania Technology Technology_Internet uganda

Categories

Archives

  • A review on biomass-based hydrogen production for renewable energy supply 0.9k views
  • Can blockchain disrupt gender inequality? 682 views
  • Prize-winning projects promote healthier eating, smarter crop investments 678 views
  • Apply Now: $500,000 for Your Big Data Innovations in Agriculture 605 views
  • Test Your Value Proposition: Supercharge Lean Startup and CustDev Principles 533 views

Copyright © 2005-2020 Innovation Africa Theme created by PWT. Powered by WordPress.org