As we head into the heat of the 2016 Presidential Campaign, the rhetoric will surely increase, but the outcome may ride on the backs of the mathematicians, statisticians, data scientists and computer scientists who will work to collect, churn and convey information to their respective campaigns in order to give their candidate an edge. A number of companies that specialize in analytics will be working tirelessly with data to find voters that can carry the day. Continue reading Big Data Could Sway The Presidential Election
Analytics Can Help Puerto Rico’s Economy
The global importance of analytics cannot be understated, but, there are many local groups and organizations that are always looking for a better understanding of how basic analytics can help their organization. Within our own backyard, Puerto Rico, stands as a pearl of opportunity for analytics implementation and talent.
Microsoft Announces R Open and Makes R-Server Free Through Dreamspark
In what could possibly be a major impact to the analytics software industry, Microsoft recently announced a series of products, renaming the Revolution Analytics products, Microsoft R Server. The branding changes the Revolution Analytics brand products to Microsoft R Server and includes the following: Continue reading Microsoft Announces R Open and Makes R-Server Free Through Dreamspark
Giving Back
We believe that giving back to our community is part of our corporate responsibility, and for us one way we accomplish that is through teaching technology, and data analytics. As part of a program through Hofstra University, funded by OpenLink, Alex Pelaez, Ph.D spearheads a program that teaches, Scratch programming, Python Programming, Spreadsheets and Databases to children from grades 3-8, at two local schools on Long Island. Employees of Five Element Analytics participate as teachers and volunteer their time teaching these very important skills.
The implication of R-Squared
The R squared value, called the coefficient of determination, determines how well the data points fit on a regression equation. More specifically, the R squared value is a measure of how the independent variables in a regression equation explain the variables of the dependent variable. The value of R squared can change based on the inclusion or removal of variables in the regression model. R squared values are typically used as a measure of the effectiveness of a model. Hence, a high R squared value (anything above 55%), can be an indicator of a capable model. Continue reading The implication of R-Squared