Overview

This repository contains the files and analysis related to Data Analytics - Task 3. The project focuses on extracting meaningful insights from data using analytical techniques and tools. It includes multiple formats such as Power BI files, datasets, and a final report summarizing the findings.

Contents

• Datasets (.csv): Raw and processed data used for analysis.
• Client Brief (.pdf): A detailed brief about the company and its goal.
• Final Result (.pdf/ .pbix/ .csv): A detailed report documenting the methods, results, and recommendations. Interactive dashboards and visualizations created in Power BI

Features

• Data Exploration: Conducted using Python and Power BI for detailed insights.
• Interactive Dashboards: Power BI visualizations enable dynamic exploration of data.
• Comprehensive Documentation: PDF report summarizing the approach, findings, and recommendations.
• File Formats: .csv, .pbix, and .pdf to support diverse workflows.
• Tools and Technologies Used:
  • Languages and Libraries: Python (pandas, numpy)
  • Data Visualization: Power BI
• File Formats: .pbix for dashboards, .csv for datasets, .pdf for documentation, and PowerPoint slides.

Key Results

• Data Visualization: Interactive dashboards for intuitive analysis of key trends.
• Insights: Data-driven conclusions supported by visual and statistical evidence.
• Recommendations: Actionable strategies derived from analytical findings.