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bat_echolocation

bioinformatics_trends

corpus

In this project, we are performing the text analytics on the Amazon product reviews dataset. A brief introduction to the dataset, this dataset is taken from ‘The Database and Information Systems Laboratory at The University of Illinois at Urbana-Champaign’, this dataset contains Amazon product reviews under six categories (camera, mobile, tv, laptop, tablet, and video surveillance system).

covid-team-1

covid-team-3

g_suite_metrics

go_deep

gsbo_city_collision_data_analysis

guilford_ems

guilford_financial

hackathon-datacrackers

hackathon-runtime_terror

hackathon-spa-r-tans

hackathon-team4

hackathon-team8

hackathon-team9

library-computer-usage-analysis

The University Libraries at UNCG currently track the state of a computer, determining whether or not a particular computer is in use. This data is compiled into a database, and a web app pulls from this database to show a map and number of available computers. As of Fall 2017, the data had not been used to determine which computers are used more frequently, aside from counting the number of times a computer transitions into/away from the 'in-use' state. This project attempts to correlate the usage of these computers with various factors, including: campus scheduling, equipment configuration, placement, population in the library, and area weather. Using this data, this project also uses machine learning to determine the best placement of computers for future allocation, and possible reconfiguration of equipment and space.

open_source_vul_metrics

Motivation: Gain insight into how open source software vulnerabilities arise, how we may be able to predict or prevent vulnerabilities, and general insight into open source software as a whole. Software Heritage Graph Dataset (SHGD): Largest existing public archive of software source code and history. National Vulnerability Database (NVD): Information on over 120,000 security vulnerabilities.

podknow

poststorm_imagery

Classification and analysis of post-storm response imagery

sp-21_covid-team_4

steamconnect

SteamConnect's goals will be to analyze Steam user and application data and find comparisons and trends within in data.

toxic-crusaders

We aim to correlate the features of datasets of a Toxic Release Inventory and Housing rates dataset - that give a meaningful insight about the variations in housing prices in US with respect to their geographical proximity to any factory that releases toxins to the environment.

uni-x

Analyzing repayment rate for college scorecard data and find what variables affect the repayment rate.

volag

Volitatation <-- (ability of flight) + lag = delayed flight

volvo_truck_analytics

Analysis of Volvo Truck sensor data to determine efficiency of APU

world-refugee-forecast

This project will take into account several data sets and variables. The intent of this project is to observe correlations between climate change, refugee patterns, and agricultural yield in order to predict whether or not individuals are leaving countries due to famine or failure to produce crops to sustain the population. The common variable amongst the three data sets we will analyze is by country, however we must be mindful and ensure that the data is normalized. This will reduce the chance of skewed data from outliers (small countries with very small numbers of refugees). Refugee patterns as well as other variables such as inflation and current population can be used for further analysis. Weather data such as rainfall amounts, heat, drought, etc. can also be used to determine crop yield by a particular size of land.