I have a complete set of online sales records for my bike shop and I want to turn that raw data into clear, actionable insights. The single goal is to identify sales trends—no forecasting or demographic deep-dives for now. I’m especially interested in seeing how my numbers move over time so I can adjust inventory, marketing and pricing with confidence. The dataset comes only from my e-commerce platform, so you’ll need to clean, structure and analyse that source exclusively. I’m comfortable with you using the tools you know best—Excel, Python (pandas, matplotlib, seaborn), Power BI or Tableau—as long as the final output is easy for a non-technical owner to read and reuse. Please deliver: • A cleaned, well-documented version of the online sales dataset • Visualisations (charts or an interactive dashboard) that highlight key trends and any seasonal patterns you uncover • A short written summary outlining the main findings and recommendations I’ll consider the job complete when I can clearly see the major sales trends in the visuals and your summary explains what actions I should take next.