In-Person Survey Data Analysis

I have a set of market-research results gathered exclusively through in-person surveys and I need a clear, actionable analysis of that data. The raw files are ready for hand-off; they include respondent demographics, structured answers, and a few open-ended text fields.

Here is what I expect:

• Data preparation: checking for entry errors, handling missing responses, and structuring the file so any statistical package (R, Python/pandas, SPSS, or even Excel if you prefer) can read it cleanly.
• Core analysis: descriptive statistics, significance testing where appropriate, and cross-tabs that spotlight trends across demographics or other key segments.
• Visual storytelling: concise charts or dashboards that make the findings easy to present to non-technical stakeholders.
• Insight summary: a brief report—executive style—highlighting major takeaways and practical recommendations that stem from the numbers.

I am comfortable with whichever toolset you favour, provided the final deliverables are fully reproducible (include code or formulas) and ready for presentation. If you can turn this around quickly while maintaining accuracy and clarity, let’s get started.