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Data Vis Consulting: Advice for Newbies I #dataviz #workflow - @moritz_stefaner

Data Vis Consulting: Advice for Newbies I #dataviz #workflow - @moritz_stefaner | e-Xploration | Scoop.it
luiy's insight:

Moritz, who most frequently works on what I'd class as "cool data set vis" projects, tells me he usually requests a data sample and some answers to a few questionsclarifying the context and basic motivation of the project before starting:

 

Why are we doing this?What are you hoping to achieve?Who are we targeting?How is the end product going to be used?How are we publishing?What data do we have available?Which other existing materials should we take into account?Which constraints do we have?Who is responsible for what?Who else is doing something similar?

 

For Moritz, answers to these questions help him understand why the client thinks a data visualization is important, and also help define success criteria for the project. He says, “Often, both the client and I realize that half of these questions cannot be answered yet, but that's fine, as long as we make sure to answer them along the way.” 

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Investigación y desarrollo. Research and consulting. - Gephi Marketplace @luiy

Investigación y desarrollo. Research and consulting. - Gephi Marketplace @luiy | e-Xploration | Scoop.it
luiy's insight:

Gephi Marketplace @luiy


Design and development of services and products about knowledge analysis with Gephi.


- Collaboration analysis
- Organizations dynamics
- Learning analytics
- Knowledge management
- Social media analysis
- Roles and profiles
- Scientometrics
- Ethnographic models

 

Home page: http://viz.oycib.org/

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