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"Science is a self-correcting process..."

The quote above is by Carl Sagan. Pretty salient in our dynamically evolving data world don't you think? The newsletter is also evolving.

The ugly caterpillar hopes to emerge as a beautiful butterfly or at least an earnest moth of acceptable proportions.

Here is where we play and share ideas. The newsletter is intended to be a way to introduce novel conversations and share ideas from either my work in academia teaching Tableau or conversations launched in data & donuts.

A recent article in Financial Times asks an important data question.

So important that I wanted to bring it into the newsletter to share with a few thousand of my closest friends.

Learning to Spot the Revealing Gaps in Our Public Data Sets
Mimi is an artist in residence working on an installation called Missing data sets"--"blank spots that exist in spaces that are otherwise data-saturated."

The Library of Missing Datasets--2016
"Open data is what the government wants you to know. Freedom of information requests are for what they don't want you to know. The things you can't FOI because they don't collect them are what they really don't want you to know." Anna Powell-Smith
The bulk of my data analyses utilize large non-proprietary datasets. I know big data is de rigueur but many of us still begin our analyses exactly the same way.

With a well formulated data question. The next step is to determine if there is data available to answer our question. Often, we may need to reformulate our question in order to answer the question with the data accessible for our analytics.

I encourage you to follow along as we share simple insights and tools to help close the gaps.
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Often, we may need to reformulate our question in order to answer the question with the data accessible for our analytics.

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