DATA SCIENCE MIS0855 | Spring 2016 Communicating Using Data SungYong Um

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Presentation transcript:

DATA SCIENCE MIS0855 | Spring 2016 Communicating Using Data SungYong Um

Data Visualization You have got a good data source. You have several hypotheses and sensible theories to support them. You have got an interesting analysis result. How to present our data and analysis outcome?

What messages does this tell? Causes of death in the Crimean war: Blue – preventable diseases Red – wounds Black – other

What messages does this tell? Problem? Data? Solution? Impact?

Problem? Data? Solution? Impact? What messages does this tell?

What messages does this tell? Problem? Data? Solution? Impact?

What messages does this tell? Problem? Data? Solution? Impact?

What messages does this tell? Problem? Data? Solution? Impact?

What messages does this tell?

Data Visualization Principles from from-tufte Show the data. Provoke thoughts about the subject at hand. Avoid distorting data. Present many numbers in a small place (but not too many). Make large datasets coherent. Encourage eyes to compare data. Reveal data at several levels of detail. Serve a reasonably clear purpose. Be closely integrated with statistical and verbal descriptions of the dataset.

Coats’ Rules for Storytelling You gotta keep in mind what’s interesting to you as an audience, not what’s fun to do as a writer. They can be very different. Come up with your ending before you figure out your middle. Seriously. Endings are hard; get yours working up front. Putting it on paper lets you start fixing it. If it stays in your head, a perfect idea, you’ll never share it with anyone What’s the essence of your story? Most economical telling of it? If you know that, you can build out from there.

Coats’ Rules for Storytelling (Paraphrased) Keep in mind what is interesting to the audience Come up with the ending before figuring out the middle Put it on paper Find the essence of the story and the simplest way to tell it

Roumeliotis’ steps for communicating an analysis From: Davenport, T. (2013). Telling a Story with Data. Deloitte University Press. To some extent, these can all be part of the visualization. But avoid communicating: Technical terminology Step-by-step methodology Complex statistics My understanding of the [business]problem How will I measure the [business] impact? What’s the available data? The initial solution hypothesis The solution The [business] impact of the solution