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Store Data Analysis using Excel, performing Data cleaning, validation, creating KPI's and finally visualizing data by creating Dashboard. Visualizing Data through Dashboard gives a quick idea of the insights.

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Store Data Analysis

Excel - Vrinda Store Sales Data Analysis

This repository contains data and Excel files related to the tutorial videos by Rishabh Mishra on YouTube, focusing on sales data analysis for Vrinda Store.


πŸ“‹ Table of Contents


πŸ› οΈ Process Overview

  • Data Validation: Checked for missing values and anomalies; cleansed the dataset to ensure accuracy.
  • Data Cleaning: Standardized data types, formats, and values for consistency.
  • Pivot Tables: Created pivot tables tailored to answer specific business questions.
  • Dashboard Creation: Integrated all pivot tables into a cohesive and interactive dashboard. Applied slicers to enable dynamic filtering and exploration.
  • Dashboard Preview:
    View the interactive dashboard image

πŸ“Š Dashboard Snapshot

Vrinda Store Annual Sales Dashboard


πŸ” Key Insights

  • Women lead purchases: Approximately 65% of buyers are women, highlighting a strong preference in this segment.
  • Top states for sales: Maharashtra, Karnataka, and Uttar Pradesh dominate in terms of product purchases.
  • Prime age group: Customers aged 30-49 years contribute nearly 50% of total sales, indicating the most active buying group.
  • Popular sales channels: Amazon, Flipkart, and Myntra are the top platforms driving product orders.

▢️ Related Video Tutorial

Deep dive into the project and Excel techniques by watching the video here:
Excel Data Analytics Project - Vrinda Store | Rishabh Mishra


πŸ“‚ Repository Contents

  • Cleaned Excel data files
  • Pivot tables and dashboard Excel workbook
  • Supporting documentation and process notes

Note

If you want, you can also try analysing in Raw Data file.

If you'd like me to add contributing guidelines, licensing info, or FAQs, just let me know!

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Store Data Analysis using Excel, performing Data cleaning, validation, creating KPI's and finally visualizing data by creating Dashboard. Visualizing Data through Dashboard gives a quick idea of the insights.

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