please look at the title on the Prox form that I just said I’m gonna have to tweak the form the practice form to make it go with drug overdose
Summary
Freelancer Client is hiring: please look at the title on the Prox form that I just said I’m gonna have to tweak the form the practice form to make it go with drug overdose.
Location: Remote
I need a clean, machine-readable raw data set that tracks drug overdoses across the Dallas–Fort Worth metropolitan area. The end goal is to run my own statistical analysis, so I’m looking for the fullest level of detail that public records allow.
Benefits & perks:
• Source: please pull exclusively from government databases—think CDC WONDER, Texas Department of State Health Services, Tarrant & Dallas County Medical Examiners, state hospital discharge records, or any other official repository you can access.
• Variables I must have: gender, race/ethnicity, economic status or proxy (e.g., median income by census tract, insurance status, or poverty level), and an indicator that tells me whether the incident occurred in a county or urban setting.
Skills: Excel, Statistics, Data Mining, Statistical Analysis, Data Visualization, Data Analysis, Data Collection, Data Management
Budget: $250–$750 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
I need a clean, machine-readable raw data set that tracks drug overdoses across the Dallas–Fort Worth metropolitan area. The end goal is to run my own statistical analysis, so I’m looking for the fullest level of detail that public records allow.
Scope of data
• Source: please pull exclusively from government databases—think CDC WONDER, Texas Department of State Health Services, Tarrant & Dallas County Medical Examiners, state hospital discharge records, or any other official repository you can access.
• Time span: both recent releases and archived records are valuable; ideally the series stretches far enough back to reveal long-term trends.
• Geography: the entire Dallas–Fort Worth Metroplex, with each case or summary entry tagged so I can distinguish county vs. urban core vs. suburban tracts.
• Variables I must have: gender, race/ethnicity, economic status or proxy (e.g., median income by census tract, insurance status, or poverty level), and an indicator that tells me whether the incident occurred in a county or urban setting.
• Age focus: children and adolescents only (roughly 0–18). Records that include adults and seniors are fine as long as you flag or filter the youth segment clearly.
Deliverables
1. Raw file in CSV or XLSX with the required variables properly labeled.
2. A brief data dictionary noting field names, definitions, units, and original source URLs or document citations.
3. A short note (one page or less) describing any cleaning steps you performed and any data limitations I should keep in mind.
Acceptance criteria
• All requested variables are present for the youth subset.
• Each column’s meaning and coding scheme is fully documented.
• Every data point can be traced back to an official government source.
If you’re comfortable navigating federal, state, and county health portals—and know how to extract, merge, and annotate large public health data sets—this should be straightforward. Let me know your estimated turnaround time and any questions you have about access or formatting.
Location & Details
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