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power-query-editor

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This dashboard enables users to assess the market's size and growth trends, offering insights into the total number of BEVs and PHEVs in the dataset. Additionally, it includes an analysis of the average electric range of these vehicles, which helps gauge technological advancements and efficiency improvements within the industry.

  • Updated Feb 26, 2024

This project aims to analyze the survey on data professionals and identify trends and insights related to career transition. The project will leverage several key performance indicators (KPI’s) to measure the average salary of data professionals around the world, including their favorite Programming language and other factors.

  • Updated Jul 11, 2023

A comprehensive project that involves analyzing movie datasets to extract insights and trends, coupled with a context-based recommendation system. This system recommends movies based on user preferences and contextual factors. The project includes data preprocessing, exploratory data analysis, and model deployment using Streamlit

  • Updated Aug 6, 2024
  • HTML

Developed a sales dashboard for AtliQ Hardware, showcasing key metrics like Revenue and Sales Quantity. Enables quick assessment of performance and addressing declining sales with filters by YEAR and MONTH. Detailed SQL commands and DAX queries provided for reference.

  • Updated Dec 21, 2023

β˜• This project aims to analyze the sales performance of a coffee shop using SQL for data extraction and Power BI for visualization. The analysis focuses on understanding πŸ“ˆ sales trends, πŸ“‹ order patterns, and πŸ“¦ quantity sold over time, along with specific insights into πŸ“ store locations, πŸ›οΈ product categories, and πŸ“… day-wise performance.

  • Updated Aug 30, 2024

Our sales analysis leverages data-driven insights to understand customer preferences, seasonal trends, and market dynamics. By uncovering patterns in sales data, we inform strategic decisions, optimize inventory, and boost customer satisfaction. At Adventure Works, we transform data into actionable strategies to meet the evolving needs of adventure

  • Updated Aug 4, 2024

This project analyzes the 2024 Olympic Games with a focus on πŸ₯‡ athlete performance, πŸ† medal distribution, and 🌍 country rankings using Power BI and Python. Featuring data from 206 countries and 1,698 teams, it provides insights into πŸ‘Ÿ athlete stats, πŸ‘« gender distribution, and πŸ“Š historical trends from 1896 to 2022.

  • Updated Sep 4, 2024
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