Welcome to the Data-Analyst_Excel repository! This repository contains various Excel projects showcasing data analysis, data visualization, and dashboard creation. Each project demonstrates practical skills in handling, analyzing, and visualizing data, helping to derive insights from real-world datasets across different domains.
- Description: Analyzes coffee shop orders to understand customer preferences and popular items.
- Techniques Used: Pivot tables, filtering, and basic visualization.
- Outcome: Provides insights into ordering patterns, high-demand products, and peak order times.
- Description: Analyzes sales data from a coffee shop to evaluate sales trends and product performance.
- Techniques Used: Sales forecasting, data segmentation, and chart visualization.
- Outcome: Highlights high-performing products and sales trends, enabling better inventory management and marketing strategies.
- Description: Provides an overview of sales performance for an online store, including revenue by product category, order sources, and customer demographics.
- Techniques Used: Data segmentation, KPI tracking, and dashboard creation.
- Outcome: Creates a comprehensive view of sales data, helping identify successful products and target audiences.
- Description: Visualizes HR metrics to analyze employee demographics, turnover rates, and performance data.
- Techniques Used: Dashboard creation, data filtering, conditional formatting.
- Outcome: Enables HR teams to monitor key metrics and identify trends in employee satisfaction, attrition, and productivity.
- Description: Interactive dashboard analyzing data from the Indian Premier League (IPL) cricket matches.
- Techniques Used: Slicers, charts, data aggregation.
- Outcome: Visualizes team and player performance metrics, match outcomes, and other key statistics.
- Description: Comprehensive portfolio project showcasing data analysis skills across various datasets.
- Techniques Used: Data cleaning, visualization, and advanced Excel formulas.
- Outcome: Demonstrates proficiency in analyzing diverse datasets and presenting actionable insights.
- Description: Analyzes road accident data to identify accident-prone areas, causes, and peak times.
- Techniques Used: Heatmaps, time series analysis, and dashboard visualization.
- Outcome: Provides insights into accident patterns, assisting in planning and prevention measures.
- Description: Generates a detailed sales and inventory report for Vrinda Store, focusing on product performance.
- Techniques Used: Pivot tables, VLOOKUP, sales trend analysis.
- Outcome: Highlights best-selling products, stock levels, and revenue patterns to support store management.
- Interactive Dashboards: Provides interactive dashboards with slicers, charts, and conditional formatting for quick insights.
- Advanced Excel Functions: Demonstrates use of Excel functions like VLOOKUP, HLOOKUP, IF, INDEX-MATCH, and more.
- Data Cleaning and Transformation: Cleans and organizes data to ensure accuracy and consistency in analysis.
- Visualization: Uses a variety of charts and graphs to communicate data insights effectively.
- Microsoft Excel 2016 or higher
- Clone the repository:
git clone https://github.com/kunalkumar2001/Data-Analyst_Excel.git cd Data-Analyst_Excel - Open each project file (.xlsx) in Microsoft Excel to explore the data analysis and visualizations.
- Modify or extend the analysis based on your needs or practice additional Excel techniques.
Contributions are welcome! If you'd like to add new analyses or improve existing projects, please fork the repository, make your changes, and submit a pull request.
This project is licensed under the MIT License.
This README.md provides a clear overview of each project, its purpose, and your analytical techniques. Let me know if you'd like to add more details to specific projects or sections!