Using R for Data Visualizations: St. Patrick's Day Edition

3/16/15 10:56 AM

Happy St. Patrick’s Day! We continue our holiday blog series with a statistical graph of a shamrock that was made in R using the ggplot2 package. ggplot2 is a useful tool in data visualization.

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Topics: data analytics, R

Show Your Valentine How Much You Care: Create a Statistical Graph

2/12/15 1:18 PM

Love, true love, is why we’re here today. This is how the people at Summit show our love – with statistical graphs. This heart scatterplot was made in R using the ggplot2 and animation packages:

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Topics: data analytics, R

Summit's Data Science Club Explores New Analysis Techniques

1/13/15 10:00 AM

Many Summiteers are interested in the burgeoning field of ‘data science’: anything and everything useful for learning from data, composed of parts from databases, machine learning, data visualization, programming, and more. Two such enthusiasts, myself and analyst Elizabeth Byerly, decided therefore that the time was ripe to form the Summit Data Science Club.

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Topics: data analytics, R

Predictive Analytics: How Many Humans Would Survive a Zombie Attack?

9/15/14 10:58 AM

Summit staff, including Principal Albert Lee, will be attending the Predictive Analytics World for Government conference in Washington, DC this week. Our staff are excited to learn about the many applications of predictive analytics in government. But the depth of analysis provided by predictive analytics also got us thinking about its more off-beat applications.

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Topics: data analytics, R

Text Analytics for Combining Information Sources

7/18/13 10:32 AM

Data is being captured and stored at an enormous rate since the middle part of the last decade. Figure 1, produced by McKinsey Global Institute, provides a breakdown of information captured by each industry in 2009. As more data becomes available, integrating data is becoming a frequent challenge facing organizations. An organization’s data may be stored in separate databases, yet combining these different data sources is a powerful way to gain insight and enhance business decisions.

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Topics: data analytics, R

Applying Survival Analysis to The Hunger Games

6/19/13 10:26 AM

The latest Econometrics Seminar Program featured an application of Survival Analysis to the popular novel The Hunger Games. Survival Analysis is a statistical method that seeks to answer questions such as how long a population can survive past a certain time or event and what variables can explain this duration. Data often comes in the form of time until event of interest. The response is referred to as failure time, survival time, or even time. These make up the survival function, which is the probability that the time of event is later than some specific time t.

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Topics: data analytics, R

About the Summit Blog

Complexity simplified.

Summit is a specialized analytics advisory firm that guides clients as they decode their most complex analytical challenges. Our blog highlights the strategies and techniques we use, as well as relevant topics in current events.

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