Data Consolidation -- Data Cleaning -- In-depth Analysis of data -- Visualization of the Data (EXCEL).
Sample Power BI project of stock-market data, using API.
Power Query Custom Data Connector for Power BI REST APIs (Government Community Cloud High)
Automated report based on ourworldindata.org showing number of cases and deaths
This repo consists of reports developed using power bi desktop at a begineer friendly level!
IPL Data Analysis Using Power BI & SQL
Analyzed Data By Creating Interactive Dashboard Using MS Excel
Super Store Sales Analysis using Power BI
This dashboard is created to analyze all the data of a survey taken by all the people who are interested in the field of data.
I have created a HR Analytics Dashboard on Power BI that shows the detailed attrition analysis of employees within an organization. The key learnings from this project include: -Data Cleaning -Data Processing -Data Visualization -Understanding DAX expressions and Measures use of KPIs, donut charts
Call center Analysis, Customer Retention & Diversity & Inclusion
This project is done as part of Codebasics Data Analyst Bootcamp
Power BI Dashboard.
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.
A Microsoft Excel project. The dataset contains expert ratings of over 1,700 individual chocolate bars, along with information on their regional origin, percentage of cocoa, the variety of chocolate bean used and where the beans were grown. The dataset consist of 1795 rows with 9 columns.
This Pizza Sales dashboards provide valuable insights, including sales trends, pizza category breakdown, size distribution, top-selling, and least-selling pizzas, enabling data-driven decisions to boost sales and business performance.
The E-commerce Sales Dashboard project offers a comprehensive view of e-commerce sales performance using interactive Power BI dashboards. It focuses on key metrics like YTD Sales, YTD Profit, YTD Profit Margin, and Quantity of Products sold, analyzing data by product categories, states, and regions.
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