Ro Data Sip-and-Share Q1 2019 — Getting a firm understanding of key statistical concepts is critical in interpreting and sharing results from various analyses. Using Daniel Laken’s Improving your statistical inferences course, I set out to get precise definitions of two widely used but commonly misconstrued concepts: p-values and confidence intervals. P-values A p-value is the probability…

Surveys can provide a direct source of data into your members feelings, thoughts, and opinions. Connecting survey results to other existing data can unearth deeper insights about your member base. One way to go about this integrated analysis is to find relationships between existing member characteristics (ex: age and gender)…

Demographic data by ZIP code can be useful in getting a better understanding of your members and/or user base. Are your members from urban or rural areas? How much money do they likely make? How educated are they? Where do they fall as far as demographics go? The most complete…

Motivation: Create a Looker Dashboard that will allow you follow the behavior of a member over their entire life cycle, depending on which month they first joined your business/service. …

At Ro, we have a development workflow that uses two Looker servers: staging and production. Although LookML code can be migrated and managed across multiple Looker servers, it is tough to do the same for the user defined Looks and Dashboards. The gzr utility was a step in the right…