Nov
04

Where scoping hits the road…

Take scoping rules one step further – to applications in Shiny! You need to understand the three main scopes in a Shiny application to save yourself headaches as you expand from one to many users of your apps.

Oct
07

Leadership for Technical Team Success

Understand how a technical leader ensures timely delivery, quality targets, and readiness for a competitive and ever-advancing technology landscape

Sep
02

Don’t run afoul of Scoping Rules in R!

If you use R eventually you will have to worry about scoping – we enumerate the basics and two major “gotcha’s” to keep you safe from the most common stumbling blocks.

Aug
05

How BIG is your big data?

Data has exploded recently, and our world is filled with more and more data, data capturing devices, data analysis, etc. But why do we care so much about categorizing the data into “Big” data buckets?

Jul
21

Getting to Innovation Faster

Guest Post by Rosemary Hossenlopp on 3 Different Types of Analytics Project Teams and 3 Questions for How to Get to Innovation Faster

Jun
24

Categorizing Data Scientists Visually

In this post the visualization of the categorization of types of data scientists is explored as a a way to gain actionable insights on personal or team data science skills.

Jun
10

Testing in R

You can establish solid tests in R with a little planning and practice – we walk step by step through testing a function in R and even setup an easy-to-use framework for repeatability that you can download and start using right away.

Jun
03

DSC Challenge: Data Video

Data Science Central issued a challenge May 28th for readers to create a professional looking data video using R that conveys a useful message.

May
13

Defining Actionable Analytics

This is my passion and yet, when I say the words “Actionable Analytics” eyes glaze over and the blank nodding starts. I thought it would make sense to take a moment and break it down so we can all go forward on the same page!


 Dr. Constance Brett on LinkedIn.com