Presenting Complex Data Visually

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Presentation by Betty Allen (CommsConsult) during the GDNet Awards and Medals Presentation Skills Training - Budapest, 14 June 2012

Text of Presenting Complex Data Visually

  • 1. Presenting Complex Data Visually Betty AllenTwitter: @Bet_Allen

2. WHY PRESENT DATA VISUALLY?It increases It makes complexinformation retentiondata easier to understand It creates It pulls out keysomethingmessages andshareable provides clarity It createsYou control theexcitementmessage 3. COMMUNICATING RESEARCH EFFECTIVELY: MAKING SHAREABLE PRODUCTS 4. What are the key messages here? 5. THE FOUR KEY CONSIDERATIONS: INITIAL IDEA what part of your research do you want to present visually? LOGICAL PURPOSE Does your graphic device have a purpose that adds toyour key research messages? DESIGN PRINCIPLES How will you create the best appearance and formatfor effective message communication? Which software tools will you use? PUBLICATION PLATFORM Where will the graphic be published has directimplications on the level of detail, size, complexity, etc. 6. REMEMBER! Information design tells a story with pictures. Its NOT ONLY about making something aesthetically pleasing, or about branding, style or making a glossy product Its about making your research data:CLEARCOMPELLING and CONVINCINGYour data can only speak if you ask it a question, so work outWHAT YOU NEED TO KNOW FROM YOUR DATAand WHY YOU NEED TO KNOW ITThen get creative with these tools 7. SOFTWARE/TOOLS: StatPlanet: browser-based interactive data visualization and mapping application allows you to create a wide range of visualizations, from simple Flash maps to more advanced infograpahics. Creately: this is easy to use Online Diagramming software - purpose built for team collaboration. Hohli: this online chart maker is simple to use and allows you to create a range of colourful pie, line, scatter, radar and bar charts. Tableau: a free Windows-only software for creating colourful data visualisations. 8. SOFTWARE/TOOLS:Xtimeline: allows you to create your own timelines of data. Minder (Hans Rosling): allows you to upload data and create an interactive chart. Eyes: allows you to upload data in a range of very versatile formats. Chart Tools: allows you to include constantly changing research data sourced online.