4 Points Checklist for Data Errors

Complex Data Visualization Charts

When is it more advantageous to consume a more complex data chart? Decision-making considerations drive this important choice. In this episode, we illustrate the process through which a manager can estimate the complexity of his request, based on the data found by the data scientist or data analyst.

What does it mean to find a "representative" type?

Reflections on data sets where the underlying characteristics of "the typical record" might be harder to identify.

4 Points Checklist for Data Errors

Are you running into errors in your data analysis? Here are four quick check-points to reflect on possible error sources. Use them to flesh out your troubleshooting plan.

Supercharged Productivity: An Analyst's POV

Being organized is a pre-requisite for analysts.  And by their very nature, analysts tend to adopt productivity systems and design their environments for efficiency.  Many decisions go into productivity systems - one of which being the analog, or digital nature of things.  An analysts analyzes... productivity systems and fads.

What makes a good Data Analyst?

What makes a good data analyst?  With statistical tools and packages that increasingly do the heavy lifting for data analysts, what makes the job of the data analyst difficult?   How can you spot a competent analyst?