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This project is about the suicide rate in India and comparison between the different states and union territories of India of the year 2022. This Report will help us to know the official rate of suicide in India and the number of male and female suicide rate, the status of the person, and mode or methods of suicide also the different causes.
This is a sales report analysis of NIKE a Footwear Company. This is an Excel Project which consist of the Sales and Profit comparison of NIKE Company and also analysis on Operating Profit Margin of the year 2021. This Dashboard is helpful for the Nike Company and other footwear stores in the market in their Sales related decision.
Performing analysis on Kickstarter data to uncover trends. The purpose of this analysis is to find the outcome on given criteria: Based on launch date Based on goals Based on pledged amount Successful and canceled shows
In this project, I worked with Microsoft Excel and analyzed one year of sales data for Vrinda store. I started by cleaning and pre-processing the data. Then, I created various pivot charts and a dashboard to provide clear insights and suggestions for improving sales in the upcoming year.
Practical project with a goal of creating an architecture, developing and analyzing insurance company data during the years 2011-2013 with various tools and languages
Developing an interactive Google Sheets dashboard to empower Sales Managers with insights into quarterly sales performance, leveraging CRM data to optimize strategies and enhance team productivity.
As a part of Interview assessment I have solved given questions from provided dataset. The Analysis gives insights about spending on different aspects and allows administration to budget accordingly in future.
This repository contains a detailed Excel-based Coffee Sales Dashboard. The dashboard integrates sales data from 2019 to 2022, enabling users to analyze trends in coffee sales, customer behavior, and market performance. It includes multiple pivot tables and charts to explore data by coffee type, country, and customer.
Built several charts based on data available of an e-commerce site using pivot tables and formulae. The charts display profits, losses, based on regions, order type, dates, discounts and many more