Clarify Mixed Dataset Insights
Budget: ₹12,500 – ₹37,500 INR
I’m working with several Excel workbooks that blend numerical figures and free-text fields. The numbers alone don’t tell the whole story, and the narrative comments need to be tied back to quantitative signals. What I need is a clear, well-structured analysis that brings the two together and explains exactly what’s going on in the data.
You’ll start from the raw Excel spreadsheets (no CSV or database extractions—everything sits in .xlsx). The task is strictly analytical: tease out patterns, correlations, anomalies and key takeaways across the mixed data. I’m less interested in deep statistical modelling and more in actionable clarity—think descriptive analytics, trend surfacing, basic sentiment or keyword grouping for the text, and concise visual aids that make the insights pop.
Deliverables
• The original workbooks returned with any supporting calculations, pivot tables, or helper sheets you create clearly labelled.
• A short PDF or slide deck summarising the insights, including charts or tables that back up each point.
Acceptance criteria
• Every finding can be traced to a cell or range inside the supplied files.
• Explanations are written in plain language that a non-technical stakeholder can follow.
If you’re comfortable weaving qualitative and quantitative threads into one coherent story inside Excel, this should be a straightforward engagement.
You’ll start from the raw Excel spreadsheets (no CSV or database extractions—everything sits in .xlsx). The task is strictly analytical: tease out patterns, correlations, anomalies and key takeaways across the mixed data. I’m less interested in deep statistical modelling and more in actionable clarity—think descriptive analytics, trend surfacing, basic sentiment or keyword grouping for the text, and concise visual aids that make the insights pop.
Deliverables
• The original workbooks returned with any supporting calculations, pivot tables, or helper sheets you create clearly labelled.
• A short PDF or slide deck summarising the insights, including charts or tables that back up each point.
Acceptance criteria
• Every finding can be traced to a cell or range inside the supplied files.
• Explanations are written in plain language that a non-technical stakeholder can follow.
If you’re comfortable weaving qualitative and quantitative threads into one coherent story inside Excel, this should be a straightforward engagement.