Survey Data Descriptive Analysis

I will share a clean survey dataset and need a concise descriptive analysis that simply summarizes what the numbers say. Your job is to:

• Run standard descriptive statistics (frequencies, means, medians, ranges).
• Create easy-to-read tables and clear charts that highlight the key take-aways.
• Deliver a brief written summary—plain language, no jargon—that explains the main findings so any stakeholder can grasp them quickly.

Any common tool is fine; Excel, Python (pandas, matplotlib, seaborn) or R (tidyverse) all work as long as the outputs are reproducible. I’m looking for accuracy, neat formatting, and a turnaround that respects our agreed deadline.