Customizing Click Events: How to Capture and Store Data from JavaScript Objects in R Variables
Visualizations capable of launching detail views can add value to a data analyst’s user experience. Programming in this kind of...
Analytics at Scale: h2o, Apache Spark and R on AWS EMR
At Red Oak Strategic, we utilize a number of machine learning, AI and predictive analytics libraries, but one of our favorites is h2o. Not only is it open-source, powerful and...
Red Oak Strategic - Time Series Forecasting with Machine Learning
Introduction
This post will demonstrate how to use machine learning to forecast time series data. The data set is from a recent Kaggle competition to predict retail sales.
Red Oak Strategic - Exploratory Data Analysis: CDC's 500 Cities Project
Introduction
In Part 1, we built an application to geographically explore the 500 Cities Project dataset from the CDC. In this post, we will demonstrate other exploratory data...
Red Oak Strategic - Data Processing with Regular Expressions in Python 3
Applying Regular Expressions
This is a tutorial on processing data with regular expressions using Python. It is also a reflection on the advantages and trade-offs that come...
Red Oak Strategic - How To: Select Locations on a Map in R Shiny Leaflet
Our team recently designed a dashboard using R Shiny Leaflet allowing users to select many locations at one go on an interactive map. We created the map using the package ...
How Our Poll Got It Right
This year, the Red Oak Strategic team decided to undertake a new challenge in the world of polling and analytics : conduct a bi-weekly, public, national survey that we would...
Could Google and Xbox solve all of polling’s problems?
Political polling faces a crisis of confidence. Major news outlets repeatedly ask “What’s the matter with polling?” after major misses like the Bernie Sanders’s primary upset...