https://github.com/debjyotisaha/power-bi-projects-phase-2
Created interactive dashboards and reports using Power BI to visualize complex datasets. Demonstrated proficiency in data modelling, DAX calculations, and storytelling through data to provide actionable insights.
https://github.com/debjyotisaha/power-bi-projects-phase-2
dashboards data-analysis data-modeling data-visualisation power-query powerbi
Last synced: 28 days ago
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Created interactive dashboards and reports using Power BI to visualize complex datasets. Demonstrated proficiency in data modelling, DAX calculations, and storytelling through data to provide actionable insights.
- Host: GitHub
- URL: https://github.com/debjyotisaha/power-bi-projects-phase-2
- Owner: DebjyotiSaha
- Created: 2024-11-20T13:13:12.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-01-24T08:08:01.000Z (3 months ago)
- Last Synced: 2025-02-10T00:29:02.660Z (3 months ago)
- Topics: dashboards, data-analysis, data-modeling, data-visualisation, power-query, powerbi
- Homepage:
- Size: 20.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Power BI Projects - Phase 2
This repository showcases multiple Power BI projects, focused on creating interactive dashboards and reports to analyze complex datasets. The primary goal of these projects is to demonstrate proficiency in data modeling, DAX (Data Analysis Expressions) calculations, and storytelling with data to provide actionable business insights.
## Projects Overview
### 1. **Interactive Dashboards and Reports**
- These Power BI reports and dashboards visualize various business and analytical data. The reports include interactive elements such as slicers, drill-throughs, and dynamic visuals that allow users to explore different insights.
- The dashboards are designed to help users quickly identify trends, patterns, and anomalies in the data, making it easier to make informed decisions.
### 2. **Data Modeling**
- Effective data modeling is the backbone of any Power BI project. This includes designing the data schema, relationships between tables, and ensuring data is structured in a way that supports efficient querying and reporting.
### 3. **DAX Calculations**
- DAX (Data Analysis Expressions) is used to perform advanced calculations, create custom measures, and aggregate data in meaningful ways. These calculations help transform raw data into insightful metrics, such as KPIs, growth rates, and year-over-year comparisons.
### 4. **Storytelling with Data**
- The visualizations are designed not only to present data but also to tell a compelling story. This involves choosing the right type of visuals, combining multiple elements to form a narrative, and making the reports easy to understand for all stakeholders.
## Getting Started
To begin working with the Power BI reports and dashboards:
1. **Clone the repository:**
```bash
git clone https://github.com/DebjyotiSaha/Power-BI-Projects-Phase-2.git
```
2. **Install Power BI Desktop:**
- Ensure that you have **Power BI Desktop** installed on your machine. You can download it for free from the [Power BI website](https://powerbi.microsoft.com/downloads/).
3. **Open the .pbix files:**
- Open the `.pbix` files in Power BI Desktop to interact with the dashboards and reports. You can modify the visualizations, explore the data, or create new reports.
## Key Features
- **Interactive Elements:** Slicers, filters, and drill-down capabilities for detailed analysis.
- **Custom Visualizations:** Use of Power BI's native and custom visuals to present data effectively.
- **Performance Optimization:** Efficient use of DAX, query folding, and other techniques to optimize the performance of the reports.
- **Storytelling:** Reports designed to convey insights clearly and allow users to make data-driven decisions.
## Prerequisites
- **Power BI Desktop**: Required to open and view the reports.
- **Data Access**: Some projects may require access to specific data sources. Ensure that you have access to the required datasets or modify the data connections as needed.
## Future Projects
This repository will continue to evolve as new Power BI projects are added. Expect future projects focused on:
- Advanced DAX calculations
- Integration with other Microsoft Power tools (e.g., Power Apps, Power Automate)
- More complex and diverse datasets for advanced analysis
## License
This project is open-source and available under the MIT License.