TXST University Libraries is proud to be hosting our annual TXST Open Datathon for Texas State students to immerse themselves in the world of open data resources and data science. This Dataverse collection is a place to share participants' final artifacts, including their final cleaned datasets and digital posters that students use for the 2025 TXST Open Datathon competition.
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Jupyter Notebook - 146.2 KB - MD5: 464ee447c466fc53cc2cece83d90fbc8
Jupyter Notebook - 114.3 KB - MD5: 4f33e77b0e71b7bc89b3855065964b80
PNG Image - 282.7 KB - MD5: f1ede86fadebc69fc89601030bd108e8
Methodology steps diagram
application/msaccess - 36.5 MB - MD5: a5c1f093bacbab8d472d0c645d0791c6
Raw dataset file (2023)
Tabular Data - 5.1 MB - 117 Variables, 20103 Observations - UNF:6:lxAcBV+liMOQ0hUIqF3G5Q==
2023 YRBS in CSV format
Feb 14, 2025
Gaddeti, Yamini, 2025, "Geospatial Crime Prediction in Texas: Analyzing Socioeconomic and Environmental Impact on Crime Rates"", https://doi.org/10.18738/T8/QGLHRX, Texas Data Repository, V1
Crime is a major societal concern affecting public safety, urban development, and policymaking. Understanding the key drivers of crime can help law enforcement agencies and local governments allocate resources efficiently.
Comma Separated Values - 69.4 KB - MD5: f1435cacac0f3f35d83cced74e7149d7
Feb 14, 2025
Rijal, Saurav; Sapnil Basnet, 2025, "What Makes Cities Walkable? Analyzing Key Urban Factors That Make Cities Walkable​", https://doi.org/10.18738/T8/BD23MG, Texas Data Repository, V1, UNF:6:+3jH/pipYRSCg0Tin5tZAA== [fileUNF]
We analyzed a comprehensive dataset sourced primarily from the EPA Smart Location Database and municipal records to understand urban walkability. This dataset includes 117 key metrics that we filtered down to 37 metrics then further identified 10 metrics that define pedestrian ac...
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