Survey Data Analysis & Report

I have a clean CSV file containing responses from a recent survey and I’d like a statistician to turn those raw numbers into clear insights I can share with my team. The brief is straightforward: apply the full range of descriptive statistics—frequencies, measures of central tendency, dispersion, and any helpful visualisations—to show what the data is really saying.

Once the analysis is complete, I need a concise, well-structured report (2–3 pages is plenty) that walks through the key findings in plain language. Tables, charts, and a short narrative explaining what stands out will be perfect; no inferential testing is required at this stage. You can use R, Python (Pandas, NumPy, Seaborn), SPSS, or any tool you’re comfortable with, as long as the output is easy for a non-technical audience to follow.

Deliverables I’m expecting:
• An annotated script or workbook so I can reproduce the results
• A set of summary tables and visualisations (PNG or embedded in the report)
• The final written report in Word or PDF

I’ll share the CSV and a brief background note on the survey’s objectives as soon as we start. If you’ve handled survey datasets before and can turn around clear, reader-friendly insights, I’d love to work with you.