Health Data Statistical Analysis - 19/12/2025 19:40 EST
Budget: $250 – $750 USD
I have a health-related dataset and need a complete statistical analysis from start to finish. The raw files still contain the usual noise—missing values, possible outliers, and a mix of categorical and numerical variables—so the first step will be a careful data-cleaning routine. Once the data are tidy, I want you to choose and justify the appropriate statistical tests, run them, and interpret the results in plain language that non-statisticians can follow.
Please use reproducible code in either Python (pandas, SciPy, statsmodels, seaborn) or R (tidyverse, ggplot2, broom). Along with the scripts or notebooks, I expect a concise report (PDF or Word) that covers:
• a description of the cleaned dataset
• the assumptions checked for each test
• key findings with p-values, confidence intervals, and effect sizes
• clear visualisations that highlight the most relevant trends
If further tests become necessary as you explore the data, let me know so we can agree on the next steps. Accuracy and transparency are critical; every result must be traceable back to the code you provide.
Please use reproducible code in either Python (pandas, SciPy, statsmodels, seaborn) or R (tidyverse, ggplot2, broom). Along with the scripts or notebooks, I expect a concise report (PDF or Word) that covers:
• a description of the cleaned dataset
• the assumptions checked for each test
• key findings with p-values, confidence intervals, and effect sizes
• clear visualisations that highlight the most relevant trends
If further tests become necessary as you explore the data, let me know so we can agree on the next steps. Accuracy and transparency are critical; every result must be traceable back to the code you provide.