Rachel Hill-Tsarpelas

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Data Analyst | Linguistics

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Look what one hour of Excel can do!
This simple placeholder project takes a raw dataset, cleans it, builds pivot tables, graphs, and KPIs, and wraps it all into a compact dashboard. Nothing fancy. Just the basics.


Bike Sales Dashboard Project Highlights

The analysis focused on questions such as:

Through segmentation and KPI analysis, the dashboard highlights patterns in customer behavior and demonstrates how Excel can be used as a practical business intelligence tool.


Screenshots

  1. Dashboard Overview
    Dashboard Dashboard Overview – Bike Sales Analysis

  2. Pivot Tables
    Pivot Tables Example of pivot-based aggregation used to calculate KPIs.

  3. Income vs Purchase Analysis
    Income vs Purchase
    Income segmentation shows stronger purchase behavior in mid-to-higher income brackets.

  4. Age vs Purchase Analysis
    Age vs Purchase Age distirbution in bike purchases

  5. Formulas / Calculations
    Formulas Age groups were created using conditional logic in Excel to segment customers into analytical brackets (e.g., 18–30, 31–50, 51+).


Dashboard Interactivity

The dashboard includes interactive filters (region, maritial status, or education) that let viewers explore patterns dynamically. Using these filters shows how flexible Excel dashboards can adapt to different business questions, highlighting trends even in simple data sets. For instance, in this set, the Europe and North America regions do differ quite noticeably from each other.


Next Steps / Ongoing Work

SQL-basierte Aufbereitung logistischer Open-Data-Bestände und Excel-gestütztes KPI-Reporting zur Analyse von Durchlaufzeiten, Liefertreue und operativen Engpässen. Currently in progress – updates to come.

Dataset

Excel File from Alex the Analyst AlexTheAnalyst on Github


Notes