Red Oak Strategic
  • Home
  • About Us
  • Services
  • Amazon Web Services
    • Database Engineering
    • Machine Learning and AI
  • Resources
    • Blog
    • Case Studies
Contact Us
  • Home
  • About Us
  • Services
  • Amazon Web Services
    • Database Engineering
    • Machine Learning and AI
  • Resources
    • Blog
    • Case Studies

Top 10 Takeaways from the 2016 Election

Patrick Stewart
Tuesday, 24 January 2017 / Published in Hillary Clinton, Data, Politics, Donald Trump, Political Analytics, Data Science, 2016 Election
There were a lot of predictions from pundits in the lead up to the 2016 Election, many of which predicted a Hillary Clinton victory. We now know that Donald Trump earned the victory with key wins in a handful of surprise swing states. With this still settling in for some, we took a hard look at the data behind his victory and what drove his...
Hillary Clinton Data Politics Donald Trump Political Analytics Data Science 2016 Election

How Our Poll Got It Right

Patrick Stewart
Thursday, 17 November 2016 / Published in Data, Politics, Analytics, Political Analytics, Data Science, 2016 Election, Polling
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 execute and release using the Google Surveys platform. Beginning in August and continuing through the final week of the 2016 election, our partnership with GCS led to the...
Data Politics Analytics Political Analytics Data Science 2016 Election Polling

Could Google and Xbox solve all of polling’s problems?

Mark Stephenson
Friday, 26 August 2016 / Published in Data, Politics, Analytics, Political Analytics, Data Science, Predictive Analytics, 2016 Election, Polling
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 in Michigan, where he beat Hillary Clinton 50–48 despite the fact that she was leading by up to 20 points in reputable polls. There is, however, hope for a polling...
Data Politics Analytics Political Analytics Data Science Predictive Analytics 2016 Election Polling

Tracking 2016 using Google Consumer Surveys

Patrick Stewart
Wednesday, 10 August 2016 / Published in Politics, Data Science, 2016 Election
Today, we debuted our national tracking poll, conducted using Google Consumer Surveys. We are one of the first researchers in the political space to embrace the technology and after working close with their team on some Republican primary work, wanted to build upon those successes throughout 2016.
Politics Data Science 2016 Election

Uber & Lyft: Using campaign data science to succeed

Mark Stephenson
Wednesday, 11 May 2016 / Published in Politics, Uber, Data Science
Last Saturday, in what has now been widely publicized and discussed, Uber and Lyft lost an effort, Proposition 1, that would have rolled back a number of regulations on their services. As a result, in one of America’s most forward-thinking tech centers, the services stopped operating almost immediately.
Politics Uber Data Science

The Analytical Nomination Pathway: Proportionality and a Draft Kings Approach

Mark Stephenson
Wednesday, 11 November 2015 / Published in Politics, Data Science, 2016 Election
After last night’s Republican debate in Wisconsin, we thought it would be useful to begin analyzing how the GOP campaigns are thinking analytically about their pathways to the nomination.
Politics Data Science 2016 Election

Why Polling, Data & Analytics Will Finally Converge in 2016

Mark Stephenson
Thursday, 5 November 2015 / Published in Politics, 2016 Election, Polling
Lots of discussion and criticism came out of this past Tuesday’s election results, much of it focusing on the Kentucky Governor’s race and the lack of reliable polling measures, which lead to a somewhat surprising election night result for many pundits. One particular story, written here by @ForecasterEnten, made very valid points about the...
Politics 2016 Election Polling
  • 1
    • Recent Posts

      • 6 Strategies for Migrating Applications to Cloud

        At Red Oak Strategic, we understand that...
      • Business Intelligence Across a Private Equity Portfolio

        Background Recognizing an opportunity to expand...
      • Data Visualization: Empowering Decision Makers

        Time and again, across Red Oak Strategic’s...
      • Tracking Coronavirus: Building Parameterized Reports to Analyze Changing Data Sources

        The pace of our modern world, and the impressive...
      • Draw Rotatable 3D Charts in R Shiny with Highcharts and JQuery

        While it might be tempting to liven up a report...

      Categories

      • 2016 Election (6)
      • Analytics (11)
      • Apache Spark (1)
      • Blockchain (1)
      • Business Intelligence (1)
      • Case Studies (3)
      • Cloud (1)
      • Code (12)
      • Data (15)
      • Data Processing (2)
      • Data Science (18)
      • Data Visualization (8)
      • Databases (2)
      • Donald Trump (1)
      • Excel (1)
      • Exploratory Data Science (1)
      • Financial Analytics (1)
      • Forecasting (1)
      • ggplot2 (1)
      • h2o (1)
      • Highcharts (1)
      • Hillary Clinton (1)
      • JavaScript (3)
      • JQuery (1)
      • Machine Learning (3)
      • Maps (1)
      • Political Analytics (3)
      • Politics (7)
      • Polling (3)
      • Predictive Analytics (3)
      • Private Equity (1)
      • Python (2)
      • Python 3 (1)
      • R (10)
      • R Shiny (4)
      • RegEx (1)
      • RShiny (2)
      • Sparkling Water (1)
      • Time Series (1)
      • Tutorial (1)
      • Tutorials (8)
      • Uber (1)
      see all topics

      © 2022 Red Oak Strategic

      KEEP UPDATED

      Receive our updates, best practices and latest news straight to your inbox