Public Health Survey Descriptive Analysis

@koolvishruth

Hi Sir, I can help with the descriptive analysis of your survey dataset and provide publication-ready outputs. I have experience working with Python, Pandas, SQL, data validation, analytics, and reporting. I can analyze the dataset, identify data quality issues, generate descriptive statistics (frequencies, proportions, means, medians, standard deviations, etc.), and create clear visualizations suitable for manuscripts and presentations. Deliverables will include: ✔ Reproducible Python notebook/script ✔ Clean tables and charts ✔ Methodology and findings report (Word/PDF) ✔ Data quality observations and recommendations ✔ Publication-ready outputs matching the generated code exactly

@glanegonsalves

Hey there, I can help perform a complete descriptive analysis of your public-health survey dataset using R or Python, including frequencies, proportions, measures of central tendency and dispersion, along with publication-ready tables and visualizations such as bar charts, histograms, and boxplots. I’m experienced with tidyverse, ggplot2, pandas, seaborn, SPSS, and reproducible analytical workflows, and can provide a clean report, fully commented scripts/notebooks, and manuscript-ready outputs. I’ll also review the dataset for potential quality issues or inconsistencies and clearly flag any observations before proceeding with final analysis and interpretation.

@TheRSTeam

Hi, I'm a data analyst, statistician, and economist with over six years of experience. I understand the requirements of your project and have the skills to deliver high-quality results. To better tailor my approach, could you please review my profile for more details on my previous work and client feedback. Looking forward to your response. Best regards,

@KolmanOuassou

Hi, I am a data analyst/statistician and Economist with more than 6 years of experience. I can do your project, Please take time to check my profile and then you decide to contact me.

@mohjib092

Hi, I can deliver a publication-ready descriptive analysis of your de-identified public-health survey dataset using Python or R, with reproducible code, clean tables, visual summaries, and a concise Word/PDF report. I’ll compute frequencies, proportions, means, medians, dispersion measures, and scale-level summaries, while also flagging missing values, outliers, inconsistent coding, and unexpected patterns. All outputs will be matched directly to the script/notebook, so the analysis is transparent, reproducible, and ready for manuscript or slide use within your one-week timeline.

@anirudhat

I've worked on several public health survey analyses involving multi-item scales, demographic breakdowns, and data quality audits, so I know exactly what publication-ready descriptive output looks like. My approach would be Python (pandas + seaborn/matplotlib) in a Jupyter notebook — first a systematic data quality check flagging missingness patterns, out-of-range values, and scale reliability, then full descriptive statistics stratified by key demographics with appropriate tests for distribution shape. I'll deliver a clean Word/PDF report with embedded tables and figures, plus the reproducible notebook so every number traces back to code. Happy to start as soon as you share the CSV and data dictionary.

@nrajuu07

I'm a biostatistician experienced in survey analysis and health research. I'll run comprehensive descriptive statistics on your de-identified dataset — frequencies, proportions, means, medians, dispersion measures — and flag data quality issues for discussion. Deliverables include a publication-ready report with clear methodology and findings, fully reproducible R or Python scripts, and clean tables and graphics ready for manuscript or presentation. One week turnaround. All numbers verified to match script output exactly. Ready to start as soon as you share the data.

@muratalper99

I have a PhD in statistics. I can rün all descriptive statistics and generated grahs and tables and write findings as document that can be easily embeded into an article using SPSS and provide all scripts so you can use then in similar studies.

@ail5a9f298b597ed

I am well-equipped to conduct your public health survey descriptive analysis using R or Python, leveraging my strong background in statistical analysis and data visualization. My experience includes analyzing complex datasets and preparing publication-ready reports that effectively communicate findings to diverse audiences. I take pride in my meticulous attention to detail and commitment to reproducibility, ensuring the analyses and report align perfectly. Your project will benefit from clear visual summaries and thoughtful insights into the data.

@Shahzadanalyst

Greetings, I am an SPSS expert, and I can do the project. I am using SPSS 27 ver. Please make an hourly project if you wish to award me the project. Thanks.

@pebambang5

Hello, I have read the outline of your project, and I’m sure can solve the task, provide correct result, free revision guarantee. My background is in statistics and applied mathematics using Python/R/SPSS/JS programming for model statistics, predictive analytics, machine learning and artificial intelligence. I’m an expert in various model regression, Ecommerce/Fraud/Anomaly/Churn/Sentiment Analysis, provide in python notebook/Rmarkdown file html/pdf/word, complete with the charts. Please share your data, I'm available, discuss detailed requirements, budget/time negotiable. Thank you. Best rgds, Bambangpe

@lalitdeveloper7

Hi I can help with the descriptive analysis of your public-health survey dataset and prepare publication-ready outputs. I’ll carefully review the data, generate frequencies, proportions, means, medians, and other relevant summary statistics, and create clear visualizations such as bar charts, histograms, and boxplots to highlight important patterns and trends. You will receive a concise report explaining the methodology and key findings, along with a fully reproducible Python or R notebook/script and clean tables and figures ready for use in a manuscript or presentation. I will also flag any data quality concerns or unusual values identified during the analysis so they can be addressed appropriately. Please let me know further. Thanks.

@robertb297

Hi! I'd love to help with your public health survey analysis. I'm a researcher with experience analyzing health and environmental datasets using **R**, and I've worked on projects involving descriptive statistics, data visualization, and publication-ready reporting. I enjoy turning raw data into clear, accurate, and meaningful results that are easy to communicate. For your project, I can: * Clean and review the dataset, identifying any potential data quality issues. * Perform comprehensive descriptive analyses, including frequencies, percentages, means, medians, and appropriate measures of variability. * Generate publication-quality tables and figures using **R** (tidyverse and ggplot2). * Provide fully reproducible, well-documented R code. * Prepare a concise report summarizing the methodology, key findings, and any recommendations or observations. One thing I always pay attention to is reproducibility—I make sure the reported numbers, tables, and figures match the analysis code exactly, making future updates or manuscript preparation much easier. This sounds like an interesting project, and I'd be excited to work with you. If you share the dataset and data dictionary, we can discuss the analysis plan and get started right away. Looking forward to working together!

@jjbiurrun

I am a statistician. I have experience in statistical analysis of surveys of various kinds, including those in the health sector. I use IBM SPSS for the analysis, and the outputs are presented in Excel format. Deliverables: - SPSS outputs, in original format and Excel (.xlsx) - File with the SPSS analysis syntax - Report with the interpretation of the results obtained, including tables and graphs - Graphs for all questions in Excel (*.xlsx), which could also be created in PowerPoint Timeframe: 5 to 7 days To perform the work more effectively, I would need: - The purpose, objectives, or hypotheses of the study - Subpopulations to be studied, for example: age groups, educational level, geographic area, cardiac patients, etc.

@cuyodigital

I looked at your project and a publication-ready descriptive analysis needs the numbers in the report to match the script exactly, clean visual outputs ready for a manuscript, and any data quality flags caught early before the writing starts. Over 5+ years and more than 15 data analysis projects delivered, I have run descriptive statistics on survey datasets using Python with pandas, seaborn, and matplotlib, producing reproducible notebooks, clean output tables, and chart-ready visuals for non-technical audiences. You can see representative examples of my work on my Freelancer profile: https://www.freelancer.com/u/cuyodigital I will deliver a full descriptive analysis covering frequencies, proportions, means, medians, and dispersion measures across all demographic and scale variables, bar charts, histograms, and boxplots formatted for manuscript insertion, a reproducible Python notebook with fully commented code, a concise Word or PDF report with methodology and key findings, and a flag of any data quality issues found during exploration. Rate: ₹18,000 INR, delivered in 5 days. Reproducible, clean, and manuscript-ready. Let me know your answers. I can start right away. Ricardo PS. Have question on the project and I would like you to check the clarification board

@Hrolgar

Survey data rarely arrives clean. Inconsistent variable coding, skip-logic gaps, and sampling weights that haven't been applied yet can make a frequency table look right while the underlying numbers are quietly off. My first pass will be a data audit: flag missing value patterns, confirm the sampling structure, and lock down the codebook before a single figure gets made. From there: frequency tables and cross-tabs formatted to journal style (APA or AMA, your call), summary statistics with the appropriate measures for each variable type, and figures exported at print resolution. Everything runs in a documented Python notebook so any reviewer or co-author can rerun the full pipeline and get the same output. A methods paragraph is included so you can lift it straight into the paper. One deliverable, 3 days: the complete notebook plus export-ready tables and figures. 25,000 INR. What's the target journal, and do you have a codebook available to share before we start?

@Ritesh11gupta

Looks like you have a raw dataset from a public health survey that needs some polishing! I can help turn it into a clear, publication-ready format using Python and visualization tools. What’s the main focus of your analysis?

@Tehreemhub

Hello, I can provide a FREE descriptive analysis sample right away so you can review the tables, visuals, and reporting style before hiring. Your public-health survey needs reproducible analysis from a de-identified CSV, including frequencies, proportions, means, medians, dispersion, data-quality checks, and clear charts for non-technical readers. With 10+ years of experience in data analysis and research reporting, I can deliver a concise report, clean outputs, and an editable R or Python script within one week. Come inbox and I’ll start the sample. Thank you!

@Nadirzaman01

Dear Client, As a microbiologist and bioinformatics researcher with extensive experience in data science, scripting, and scientific reporting, I am ideally suited to deliver a thorough, publication-ready descriptive analysis of your public-health dataset. I have done many tasks using Python (pandas, matplotlib, seaborn) and R to process raw analytical data and automate workflows. Having managed data verification and manuscript drafting for peer-reviewed research, I understand how critical it is for report metrics to align seamlessly with the underlying reproducible script. I will handle your de-identified CSV and data dictionary with a high level of analytical precision. My approach will cover complete descriptive statistics, including frequencies, proportions, and detailed measures of dispersion, while evaluating your multi-item scales for data quality and outlier patterns. I will build clean, high-resolution visual summaries (boxplots, histograms, and bar charts) designed to make these public-health trends instantly accessible to non-technical readers and ready for direct manuscript insertion. I will deliver a concise methodology report alongside fully annotated, reproducible code within your one-week timeline. I have my data tools ready on Freelancer.com and am willing to start working on your dataset right away. Warm Regards, Nadir Zaman Bioinformatics Expert & Microbiologist