The Art of Data Simulation
Most problems in the scientific world are about understanding different phenomena. We want to learn the characteristics and patterns of the systems we study to be able to preview and …
Spatial Objects Using TERR
A key part of analytics in the oil and gas industry is evaluating opportunities at different locations. Space is always present when looking for profitable development projects. We usually look …
NFL: Predicting 2018 Win Totals with Data Science
With the Super Bowl just behind us, it’s time to predict wins for the 2018 NFL Season. At the start of the playoffs, we looked at a model which predicted how …
How many games should your NFL team have won this season?
How many games should your NFL team have won this season? Everyone knows a lucky bounce here and a bad call there can have a significant impact on the win-loss …
Wrangling Data Science in Oil & Gas: Merging MongoDB and Spotfire
Data science in Oil and Gas is central stage as operators work in the new “lower for longer” price environment. Want to see what happens when you solve data science …
TERR — Converting strings to date and time
This post explains my struggle to convert strings to Date or Time with TERR. I recently spent so much time on this that I thought it deserved a blog post. Here’s …
Data Science Toolkit Improvements
This week, I was able to test out the latest and greatest changes to the Ruths.ai Data Science Toolkit. New options and features allow users to easily split test and …
CRISP-DM Evaluation: Train and Test Set
Last week in our Analytics Journey, we worked on variable selection in the Modeling stage of the CRISP-DM method. Having built a model, it’s once again time to see how it …
CRISP-DM Modeling: Forward and Backward Selection
Welcome back everyone to our Analytics Journey series. Those of us in Houston have been through a trying time, and our thoughts are with the community. We will try to …
Using Spotfire’s Data Relationships Tool to check for Multicollinearity
When building a Multiple Linear Regression model, we want to limit the correlation between predictor (X) variables. Luckily, Spotfire has a tool that makes identifying the correlation (called multicollinearity) effortless. …