The project's objective is to utilize real simulated dataset files representing various aspects of a company's activities to create a Power BI Dashboard. The goal is to demonstrate the ability to clean, analyze, transform, model, visualize, and extract insights driving actionable recommendations using Power BI.
The project involves three CSV files: 'clients', 'employees', and 'shifts', each containing specific data related to clients, employees, and employee shifts, respectively.
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Clients CSV:
• This file contains information about the clients, including client ID, full name, birth date, gender, status, admission date, client location, and whether the client has Activities of Daily Living (ADLs).
• Objective: Analyze the client data and create visualizations that provide insights into the client population.
• Key Focus Areas: Explore patterns, demographics, and trends related to client status, gender distribution, admission dates, and ADLs.
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Employees CSV:
• This file contains information about the employees, including employee ID, full name, status, employee job title, birthday, hire date, employee location, and gender.
• Objective: Analyze and visualize employee data to gain insights into the employee demographics and workforce.
• Key Focus Areas: Explore employee status, job titles, gender distribution, and other relevant factors that can help understand the employee base better.
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Shifts CSV:
• This file contains information about shifts worked by the employees, including shift ID, shift start date, shift punched status, client ID, employee ID, shift start time, shift end time of day, shift punch start time, and shift punch end time of day.
• Objective: Analyze the shift data to uncover patterns and trends related to employee shifts.
• Key Focus Areas: Visualize shift start dates, punch statuses, shift durations, and other insights that can optimize staffing and scheduling processes.
These CSV files serve as the primary data sources for the activities analysis Power BI project. They are used for data analysis, visualization, and deriving insights.
Clone the repository: git clone https://github.com/YOUR-USERNAME/project-name.git
Install Power BI Desktop from the official website: Power BI Desktop
Open Power BI Desktop and navigate to "Open" > "File" and select the project file (.pbix) from the cloned repository.
Explore the dashboard, interact with visualizations, and gain insights from the data. 📊🔍
This repository includes the following features for effective data analysis and visualization using Power BI:
Data Exploration & Understanding: Explore and gain insights into the data through various techniques such as data profiling, summary statistics, and exploratory data analysis. 📈🔎
Data Cleaning & Preparation: Perform data cleaning tasks to handle missing values, outliers, and inconsistencies, ensuring data quality and integrity for accurate analysis. 🧹🔧
Data Modelling: Build a robust data model that represents the relationships between different data tables and enables efficient data analysis and visualization. 🗂️🔗
Data Transformation: Apply data transformation techniques using DAX including filtering, grouping, and aggregation to reshape and prepare the data for analysis. 🔄🔀
Visualization Design: Design visually appealing and informative visualizations using a wide range of chart types, colours, and formatting options to effectively communicate the insights hidden in the data. 🎨📊
Dashboard Development: Develop interactive and user-friendly dashboards that provide a comprehensive view of the data, allowing users to explore and interact with the visualizations. 📲🖥️
Dynamic Filtering: Implement dynamic filtering capabilities that enable users to slice and filter the data based on different criteria, facilitating focused analysis and exploration. 🔍⚙️
Insights: Derive actionable insights from the data analysis and visualization, providing meaningful recommendations and decision-making support for stakeholders. 💡🔍
This repository is designed to facilitate efficient data analysis workflows, from data exploration and cleaning to modelling, transformation, and visualization, resulting in impactful and insightful Power BI dashboards.
Microsoft Power BI
Microsoft Excel
Microsoft Power Query
DAX
The main deliverable of this project is a Power BI Dashboard that effectively presents the analyzed data and provides meaningful insights to drive actionable recommendations for each of the three aspects: clients, employees, and shifts. The dashboard includes visually appealing and interactive visualizations, such as charts, graphs, and tables, to showcase the identified patterns, demographics, trends, and optimization opportunities.
I welcome contributions to enhance this Power BI project. If you have any ideas, bug fixes, or feature suggestions, please feel free to open an issue or submit a pull request. Let's collaborate and make this project even better! 🚀🎉
Thanks for your interest in this project. Enjoy exploring the Power BI Activities Analysis Dashboard! 💖💻