71 to 80 of 82 Results
Feb 14, 2025 -
Suicide Prevalence In The US: Identifying Risk Factors and Taking Data Driven Decisions
Jupyter Notebook - 146.2 KB -
MD5: 464ee447c466fc53cc2cece83d90fbc8
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Feb 14, 2025 -
Suicide Prevalence In The US: Identifying Risk Factors and Taking Data Driven Decisions
Jupyter Notebook - 114.3 KB -
MD5: 4f33e77b0e71b7bc89b3855065964b80
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Feb 14, 2025 -
Suicide Prevalence In The US: Identifying Risk Factors and Taking Data Driven Decisions
PNG Image - 282.7 KB -
MD5: f1ede86fadebc69fc89601030bd108e8
Methodology steps diagram |
Feb 14, 2025 -
Suicide Prevalence In The US: Identifying Risk Factors and Taking Data Driven Decisions
application/msaccess - 36.5 MB -
MD5: a5c1f093bacbab8d472d0c645d0791c6
Raw dataset file (2023) |
Feb 14, 2025 -
Suicide Prevalence In The US: Identifying Risk Factors and Taking Data Driven Decisions
Tabular Data - 5.1 MB - 117 Variables, 20103 Observations - UNF:6:lxAcBV+liMOQ0hUIqF3G5Q==
2023 YRBS in CSV format |
Feb 14, 2025 -
Suicide Prevalence In The US: Identifying Risk Factors and Taking Data Driven Decisions
PNG Image - 703.4 KB -
MD5: c21fe97be2aefc36a68bb628096c0ea6
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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. |
Feb 14, 2025 -
Geospatial Crime Prediction in Texas: Analyzing Socioeconomic and Environmental Impact on Crime Rates"
MS Powerpoint - 589.6 KB -
MD5: 2a084086324adf70127aac484a321d35
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Feb 14, 2025 -
Geospatial Crime Prediction in Texas: Analyzing Socioeconomic and Environmental Impact on Crime Rates"
Comma Separated Values - 69.4 KB -
MD5: f1435cacac0f3f35d83cced74e7149d7
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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... |