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

@rabbiawebjuggler

As a seasoned data analyst who is fluent in web scraping and proficient in multiple software suites including MS Excel, I am confident that I can provide you with an extensive, clean, and machine-readable raw data set specifically curated to your outlined needs. In my many years of experience, I have gained expertise in navigating vast public databases and extracting, combining, and annotating large data sets. My proficiency in web scraping techniques will ensure that I can swiftly collect data from a multitude of official health portals at the federal, state, and county levels - just what your project requires. Following that, my ability to merge and annotate these datasets efficiently guarantees that the resulting file will be detailed, accurate, and easy to navigate. Apart from the technical skills required for this project, my commitment to providing comprehensive documentation and clear communication will ensure a seamless working relationship. Regarding turnaround time, once assigned, I estimate a reasonable time frame dependent on the specific requirements of your project. I eagerly await the opportunity to deliver a high-quality dataset you can use confidently for your statistical analysis needs.

@Tanmoy236

Hi There! I specialize in public health data extraction, statistical datasets, and government-source research with 9+ years of experience in data mining, Excel, and structured data analysis. Here's how I can help: 1. Collect overdose data from CDC, Texas DSHS & county medical sources 2. Build clean CSV/XLSX datasets focused on ages 0–18 3. Merge demographic, geographic & socioeconomic indicators 4. Deliver documented data dictionary + cleaning notes with traceable sources I can structure the dataset for direct statistical analysis and trend modeling. Do you prefer census tract-level geographic tagging where available, or county-level aggregation only?

@ShaikhAneesa

Hi there, I understand you need a clean, machine-readable dataset tracking drug overdoses among children and adolescents across the Dallas-Fort Worth Metroplex using only official government data sources. I am confident I can build a structured and well-documented dataset suitable for statistical analysis and long-term trend evaluation. My approach will be to collect and consolidate data from trusted public repositories such as CDC WONDER, Texas Department of State Health Services, county medical examiner records, hospital discharge datasets, and other official health databases. I will structure the data so youth-related cases are clearly identified while preserving geographic distinctions between counties, urban cores, and suburban areas where available. The dataset will include variables such as age, gender, race/ethnicity, economic indicators or proxies, geographic classification, and overdose-related details while ensuring every field remains traceable to its original government source. I will also clean and normalize the records so the final dataset is consistent, machine-readable, and ready for analysis in Excel, Python, R, or similar tools. Do you want the economic-status indicators prioritized at census-tract level where available, or should county-level proxies also be included when finer detail is unavailable? I’m ready to start immediately. Warm Regards, Aneesa.

@WycOj

As a Verifed Statistician and Researcher with over seven years of experience in data science, I believe I possess the necessary skills to not only navigate various health databases but also expertly extract, merge, and annotate vast public health datasets—making me an ideal candidate for your project. I am able to source the required data based on the geographical of Dallas, all hospital , clean the data and finally submit clean data, with the required variables for statistical analysis. I am comfortable navigating federal, state, and county health portals—and I know how to extract, merge, and annotate large public health data sets— and all this will take me around 4 days to get it done. Let us discuss and get started

@chirgeo

I've pulled youth overdose records from CDC WONDER, state health department repositories, and county medical examiner portals before, so I know exactly where the gaps and access walls tend to appear. 1. The Texas DSHS restricted-use files often require a formal data-use agreement that can take weeks to approve — do you need me to work only with publicly downloadable data, or are you open to submitting a DUA request if it unlocks more granular case-level detail? 2. CDC WONDER suppresses cell counts below 10 for small geographic units, which can hollow out suburban tract-level breakdowns for a narrow age band like 0–18 — is a county-level geographic tag acceptable where suppression makes tract-level data statistically unreliable? 3. "Economic status" isn't a direct field in most overdose records; the realistic proxy is usually census-tract median income or poverty rate joined by FIPS code — do you have a preferred linkage variable, or should I propose the join methodology as part of the data dictionary? 4. Dallas and Tarrant County Medical Examiner records differ in format and release cadence — should I harmonize them into a single schema, or deliver them as separate files so you can control the merge logic yourself? Share your answers and I can map out exactly which sources to pull, flag any access constraints upfront, and structure the deliverable to fit your analysis workflow.

@belarjsoufiane20

Hi, With 7 years of experience in data analysis, public datasets, Python, and statistical research, I can extract and structure overdose data from official government sources only, then deliver a clean CSV/XLSX with documented variables, youth filtering, geography tags, and socioeconomic proxies. I can also prepare the data dictionary, source citations, and a brief cleaning/limitations note so your dataset is fully traceable and analysis-ready. I’m available to start immediately and complete the work accurately within the agreed timeline. Best regards,

@intelliresponse

Hi, I understand you need a clean, traceable DFW youth drug-overdose dataset using only official government sources such as CDC WONDER, Texas DSHS, county medical examiner data, hospital discharge records, and related public repositories. ??️ ✅ I have experience with public-health data research, government database extraction, CSV/XLSX structuring, data cleaning, source citation, and variable documentation. I can compile records for Dallas–Fort Worth counties, filter/flag the 0–18 age group, and include key fields such as gender, race/ethnicity, location type, county/urban indicators, and economic-status proxies like tract income or poverty data where available. ? ? Deliverables will include a labeled CSV/XLSX file, data dictionary, source URLs/citations, and a short cleaning/limitations note. Estimated turnaround: 2–3 days, depending on source access and data granularity.

@mobimubasir

Hello there, I can collect and organize official government overdose data for the Dallas–Fort Worth area, focusing on youth records where available and documenting gender, race/ethnicity, geography, and economic proxy variables. I’ll deliver a clean CSV/XLSX, data dictionary, source links, and a short cleaning/limitations note so every field is traceable and ready for statistical analysis.

@emilesd617

Hi, I am a data analyst with 8 years of rich experience with a background in public data extraction and statistical datasets. I am familiar with CDC WONDER, state health databases, county medical examiner records, Excel, CSV/XLSX data structuring, data cleaning, and statistical data preparation. For this project, the most important part is building a clean and fully traceable dataset from official government sources, focused on youth drug overdose cases in the Dallas–Fort Worth area. I can extract, merge, and structure the data in a machine-readable format, with clear labeling for geography, demographics, and time series trends, and also provide proper documentation for every field and source. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@qualityxenter

Affordable, Early Delivery. ★★★★★★★★★★★★★★I hold a Masters degree which gives me the requisite background to handle writing from various subjects. I am a highly committed person towards my work. You can rely on QualityXenter for quality and consistency in writing. We never violate copyright rules. I have vast amount of experience in this industry since I am working from 2015 as a professional writer. I provide many modifications till to get your satisfactions. I have access to enough journals to use in your research project. I always produce quality work at VERY LOW RATES so, don't worry if you have a low budget for your work, I will be very happy to make a new client like you. I am producing quality work for my clients including ARTICLE WRITING, REPORT WRITING, ESSAY WRITING, RESEARCH PAPERS, BUSINESS PLAN, TECHNICAL WRITING, MATLAB, THESIS, ACCOUNTING & FINANCE work ETC. Go through my profile link https://www.freelancer.com/u/qualityxenter

@huzaifarizwan995

I’d be a strong fit for this public-health data project because I’m comfortable navigating federal, state, and county-level government sources and turning fragmented records into clean, analysis-ready datasets. My approach would be to identify the best official sources for youth overdose data across the Dallas–Fort Worth Metroplex, extract the most detailed public fields available, and merge them with geographic and socioeconomic proxies such as county, urban/suburban classification, census tract income, insurance, or poverty indicators where direct economic status is unavailable. I would keep the dataset fully traceable, with every field tied back to CDC WONDER, Texas DSHS, county medical examiner records, hospital discharge summaries, or other official repositories. The final deliverables would include a clearly labeled CSV/XLSX file, a detailed data dictionary explaining variables and coding, and a short cleaning/limitations note so you understand gaps such as suppression, small-count masking, age-band limitations, or restricted case-level access. I’ve worked on structured data extraction, cleaning, and documentation tasks where accuracy and source transparency were critical, so I would focus on producing a dataset you can confidently use for downstream statistical analysis.

@Neelumsoft

As a professional full-stack developer, I am highly experienced in navigating and extracting data from government databases, a skillset which aligns perfectly with your project's requirements. I have successfully completed numerous projects involving large-scale data collection and analysis from various public health portals. I understand the gravity of data accuracy and therefore ensure that every data point can be traced back to its official government source, just as you seek. With my proven track record of completing 99% of my projects combined with being in Freelancer.com's top 3%, hiring me for your task assures you of top-notch work within the stated timeline. My expertise with numerous web services including JSON, XML, SDK is further complemented by an adept understanding of programming languages such as Python, R and SQL, allowing me to automate business processes effectively for smooth operations. I would be honored to utilize my skills to empower your statistical analysis by providing you with a clean, machine-readable raw dataset with maximum detail possible, effectively tagged distinguishing between County/Urban/Suburban records for youth cases in Dallas-Fort Worth Metroplex. Let's commence this enlightening journey together!

@Georgeoustar

Hi, I can help collect, clean, and document a government sourced dataset on youth drug overdoses across the Dallas Fort Worth metro area. I have worked on similar public data research projects involving CDC WONDER, state health data, county medical examiner records, census data, hospital discharge summaries, and demographic enrichment. For your project, I can pull data only from official government sources, organize it into CSV or XLSX format, and tag records by county, city or urban setting, age group, gender, race and ethnicity, and available economic indicators or census based proxies. I can also merge overdose data with Census or ACS tract level income and poverty fields where case level economic data is not publicly available. The final delivery will include the raw dataset, a clear data dictionary, source links, field definitions, cleaning notes, and limitations so every data point can be traced back to an official source. Best regards, George

@timk39

Hello, I reviewed your project "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" and immediately identified the key areas that need attention. I’m confident I can step in and deliver a clean, efficient, and production-ready solution without unnecessary delays. I bring solid, hands-on experience in Excel, Data Visualization, Data Collection, Statistical Analysis, Data Analysis, Statistics, Data Management and Data Mining, and I’ve successfully handled similar projects where performance, scalability, and reliability were critical. My focus is not just to “complete the task,” but to ensure your system works smoothly under real-world conditions. What you can expect from me: • Deep expertise in Excel, Data Visualization, Data Collection, Statistical Analysis, Data Analysis, Statistics, Data Management and Data Mining with practical problem-solving • Clear, fast communication with consistent progress updates • Clean, maintainable, and scalable implementation • Proactive approach — I identify and fix hidden issues, not just reported ones If I see opportunities to improve performance, UX, or stability, I’ll bring them to you with clear recommendations — no guesswork, just practical solutions. I’m ready to get started immediately and bring this across the finish line the right way. Let’s connect. Best regards, Tim Koenitzer

@mayr81

Hello, I’m Cora May, and I can help you create a clean, machine-readable overdose dataset for the Dallas-Fort Worth Metroplex using only official government sources (CDC WONDER, Texas DSHS, county medical examiner data, and hospital discharge records where available). I specialize in data mining, collection, and management for statistical analysis, including merging multi-source records and standardizing fields into a well-labeled CSV/XLSX. I’ll ensure the youth segment (ages 0-18) is clearly flagged for filtering, while still keeping adult/senior records when they exist in the underlying sources. For each entry, I’ll include gender, race/ethnicity, an economic-status proxy (such as poverty level, median income by tract, or insurance status), and an urban vs. county incident indicator tied to a consistent geography scheme. I’ll also deliver a concise data dictionary with definitions, coding schemes, and citations/URLs to the original government documents, plus a short cleaning/limitation note you can cite in analysis. To match the Prox form you mentioned, could you confirm which specific field(s) in the practice/prox form you need adjusted to reflect “drug overdose”? Also, do you want the geography tagged at the county level only, or do you need census-tract/ZIP-style granularity when the source provides it? Best regards!

@demivision

Hello Employer, Thank you for outlining such a clear and thoughtful project brief. I appreciate the emphasis on precision, public data provenance, and the focus on actionable variables for youth overdose cases across the Dallas–Fort Worth area. As someone with extensive experience in public health data acquisition, cleaning, and management—particularly with government sources such as CDC WONDER, state health departments, and medical examiner records—I am confident I can deliver a dataset that meets your analytical needs. I understand your need for granular, machine-readable data that not only includes demographic details like gender, race/ethnicity, and economic indicators, but also thoroughly distinguishes between county, urban, and suburban settings. My approach will begin with a comprehensive review of all relevant federal, state, and county repositories, prioritizing both recent and archival datasets to support long-term trend analysis. I will extract, filter, and merge records specifically for the 0–18 age group, ensuring adult cases are clearly separated or flagged for easy exclusion. Each data field will be labeled and documented, with a data dictionary covering definitions, coding, and direct source references for full transparency. I will also provide a concise summary of all cleaning steps and any data limitations, so you have full confidence in the dataset’s integrity and utility. If you have preferences regarding geographic granularity or specific economic proxies, please let me know—I’m happy to tailor the extraction accordingly. I look forward to helping you build a robust foundation for your statistical work.

@bushrat28

::::: DrPH ::::: I have check your attached document and read and understood your requirement. As a healthcare professional with 10 years’ experience in white papers, research, and report writing, I can craft a persuasive, well‑researched document on “The Impacts of Soundscapes in Urban Areas on Older Adults’ Mental Health: A Conceptual Framework Sound Exposure Model.” The white paper will translate complex healthcare and environmental concepts into clear, engaging language, weaving clinical data, industry statistics, and thought‑leadership insights into a compelling narrative that positions your offering as the logical solution. Deliverables will include a 2,500–3,000 word paper (Word/Google Docs), 1- Executive summary, 2- Problem statement, 3- Solution analysis, 4- Supporting evidence, 5- Conclusion/CTA, and properly formatted citations (APA or similar), with one round of revisions. Please contact me to share the specific angle and timeline so I can begin the research and drafting process.

@jamshaiddev

Hi, I can help build a structured, machine-readable overdose dataset focused on children and adolescents across the Dallas Fort Worth Metroplex using verified government sources only. The dataset can be compiled from official public health repositories, medical examiner records, hospital discharge sources, and government demographic datasets while ensuring every field remains fully traceable and documented. I have experience working with large public datasets, data extraction workflows, cleaning pipelines, and building analysis-ready datasets with clear documentation. The final output can include standardized geographic tagging, demographic variables, economic proxy indicators, youth-specific filtering, historical trend coverage, and merged enrichment fields where required for statistical modeling. Delivery will include the raw CSV/XLSX dataset, a complete data dictionary with field definitions and source mapping, plus documentation covering cleaning methodology, transformations performed, and known limitations to maintain research transparency and reproducibility. The focus will remain on accuracy, traceability, and producing an analysis-ready dataset suitable for long-term statistical work. Best regards, Muhammad Jamshaid

@marcusd39

Dear Client, How are you? I hope this proposal finds you well. I'M A CERTIFIED & EXPERIENCED EXPERT This is to inform you that I have KEENLY gone through your project description, CLEARLY understood all the project requirements as instructed in your project proposal and this is to let you know that I will perfectly deliver as desired. Being in possession of all stated required skills as this is my field of professional specialization having completed all certifications and developed adequate experience in the respective field, I hereby humbly request you to consider my bid for professional, quality and affordable services that meet all your requirements. I always guarantee timely delivery and unlimited revisions where necessary hence you are assured of utmost satisfaction when working with me. Please send me a message so that we can discuss more and seal the project. WELCOME.