Survey Trend Analysis Project

I have a fresh batch of opinion-poll responses and I need them transformed into clear, data-driven trend insights. The core dataset is survey results only; no sales figures are involved. Because my audience also tracks online chatter, please connect the findings—where relevant—to conversations happening on Facebook, Twitter and Instagram.

Primary objective: identify trends. I want to know what is rising, fading or splitting by demographic, geography or any other meaningful segment you uncover. Time-series comparisons, sentiment scoring, clustering or other exploratory techniques are welcome as long as the story stays easy to follow.

Deliverables
• A cleaned, well-commented dataset (or notebook) so I can reproduce every step.
• An analytical report as a PDF or slide deck summarising at least five actionable trend observations, each supported by statistics.
• Shareable visualisations—charts, graphs or dashboards built in Power BI, Tableau or Python (Matplotlib/Seaborn/Plotly)—with clear labels and source links.
• One revision round after my feedback.

Keep the language of the report non-technical where possible; my stakeholders are business leaders, not data scientists.