Click the link below to explore new music using the Spotify Dashboard
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Updated
Mar 20, 2024 - Python
Click the link below to explore new music using the Spotify Dashboard
Excel dashboard that includes slicers, pivot tables, and pivot charts.
Interactive dashboard for visualization and valuable insights
An Excel project that analyzes bike buyers' patterns using a dashboard. The project includes data cleaning, pivot tables, and an interactive dashboard with slicers for filtering.
Analysis Using Excel
FIFA World Cup Analysis Using Microsoft Excel
Unlocking the Power of Excel for Employee Data Analytics" 🚀📊, Analysed the large dataset and created dashboard that provides an overview of key HR metrics, including headcount, performance, and training costs, using charts and pivot tables.
An interactive Bike Sales Dashboard using Excel Worksheet
This project analyses the sales data of Vrinda Store to understand customer behavior and ultimately increase sales in the coming year.
This repository contains an excel dashboard that tracks a company's car sales by several factors
Created a sales dashboard by using Excel for Vrinda store. To understand an annual sales in 2022.
This project is about data analysis on business sales transaction dataset . This data where taken from www.kaggle.com and using MS-Excel data analysis where done. In this project skill of data analysis and dashboard making where shown.
This dashboard provides a comprehensive overview of sales performance, average pricing trends, and cars sold metrics, allowing for informed decision-making and strategic planning.These charts and grids offer valuable insights into sales trends, distribution, and detailed information about car sales, enabling effective decision-making and strategic
📈 Based on the report insights ,here are the outcomes of the sales :- 1️⃣ Women are more likely to purchase (65%) than men. 2️⃣ Maharashtra , Karnataka and Uttar Pradesh were the top contributors to sales (35%). 3️⃣ The adult age group (30-49 yrs) made the most contributions(50%). 4️⃣ Amazon, Flipkart and Myntra channels were the contributer.
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