Descriptive Sales Data Analysis - 11/05/2026 08:12 EDT

I have a set of raw sales figures and I need a clear, well-structured descriptive analysis. Your task is to explore the data, calculate the key summary statistics, and surface meaningful trends or anomalies that a non-technical stakeholder can understand at a glance. Please: • Clean and prepare the dataset as needed • Produce summary metrics (totals, averages, growth rates, top-performing products or regions, etc.) • Visualise the findings with straightforward charts or an interactive dashboard • Deliver a concise written explanation of what the numbers mean for the business I’m flexible on the tools—Python (pandas, matplotlib, seaborn), R, or even an Excel Power Query/Pivot workflow are all fine—so long as the process is reproducible and the final artefacts are shareable (code notebook or workbook plus exported visuals). If something looks off while you work, flag it; I’m keen on accuracy over speed.

Project ID: 40434704