We’re all told when building a new relationship that “Transparency is Key.” And of course, when compiling new data, this also applies. But in an age of oversharing, the things we choose not to share are as defining as the things we do - and omitting certain elements from your data’s story doesn’t necessarily yield a negative outcome.

I’m here to tell you a few reasons why narrowing in on a specific set of elements within a larger context can produce conclusions with your data that are complete in and of themselves. More importantly, I’m here to provide you with the main steps that will help you determine how to choose the right focus for your project.

I began my #100DaysofCode challenge today, and this is what I made. I did some pretty analysis in @RStudio and drew over it with simple pen. The merge between our ability to be digital and the most primitive assets of our humanity are built into this piece as well as every one to come. If you’re a data scientist who wants this on your wall or as a gift for a special day, contact me on Twitter at @DikayoData.

MY NEW BUSINESS DIKAYO DATA WAS CREATED UNEXPECTEDLY LAST WEEK WHEN THE CAREER TRACK I WAS ON FELL THROUGH. AND I’M HERE NOW TO TELL YOU HOW TO RE-FRAME WHAT SEEMS LIKE FAILURE INTO A ROAD TO SUCCESS IN THREE VITAL STEPS.

WE ARE THE BEST OF WHERE WE COME FROM.