Past Meetup

DDV - Visualizing Big Data and Exploratory Data Analysis with R

This Meetup is past

25 people went

Every 3 months on the 2nd Thursday

Applied Information Sciences

2681 Commons Blvd · Beavercreek

How to find us

Behind the Mall at Fairfield Commons, in the Acropolis office center

Location image of event venue

Details

Thanks to Sean McCarty and Steve Varner for volunteering to speak at our August event! Come enjoy great content from our speakers plus we'll have some more JetBrains licenses to raffle off!

- 11:30am: Pizza, Sponsors, and Announcements

- 12:00pm: Exploring the Consumer Financial Protection Bureau Dataset with R: Sean McCarty will present an exploratory data analysis of the Consumer Financial Protection Bureau Data.gov dataset. He performed this analysis using the R programming language and two R data visualization libraries. Sean is an image & signal processing engineer that has experience implementing synthetic aperture radar image formation, signal processing, and real-time communication waveform generation solutions.

- 12:30pm: Big Data Visualization: Steve Varner will explore techniques for visualizing data stored on “Big Data” cluster computing environments. Steve will demonstrate how to work with massive data sets and gaining insights from both structured and unstructured data. Technologies used will include Apache Hadoop, Hive, Spark, and the Hadoop Distributed File System.

- 1:00pm: End

The Dayton Data Visualization group will meet quarterly unless I get enough volunteers to make it happen more frequently. Please volunteer to share a topic with the group! What makes a good presentation topic for DDV? Here are some ideas:

- Case Studies - Show us how you made a cool visualization or infographic

- Development Tips - Show us how to use a cool new tool or framework

- Benchmarks - Comparisons between tools or frameworks

- Data Mining - Show us how you mine/retrieve data to use in your visualizations

- Optimization - Show us how you optimize your visualizations for performance on the web and mobile devices

Presentations are only twenty minutes long. This is to lower the barrier of entry for new speakers and to make the talks less of a time commitment from the speakers (and audience). Keep them short, sweet, and specific.

Thanks!

Map to Applied Information Sciences:

https://www.google.com/maps/place/2681+Commons+Blvd,+Beavercreek,+OH+45431/@39.76859,-84.060064,19z/