This a dataset of finances which are also available in Power BI for practice. Use this dataset to practice Power BI.

Explore the world of data visualization with this Power BI dataset containing HR Analytics and Sales Analytics datasets. Gain insights, create impactful reports, and craft engaging dashboards using real-world data from HR and sales domains. Sharpen your Power BI skills and uncover valuable data-driven insights with this powerful dataset. Happy analyzing!

Adventure Works is a bike manufacturer and seller and in this project I analyze their sales and returns data using Microsoft Power BI Desktop.

This was an end to end project beginning with importing and data cleaning and ending with the creation of visuals and optimization of those visuals.

Testing Power BI's publish to web feature

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An interactive dashboard to visualize sales performance, product categories, regional performance, and key business KPIs.

📌 Description This project analyzes online sales data using Power BI, focusing on performance metrics such as Total Sales Amount, Profit, Quantity Sold, and Payment Modes. The dashboard provides detailed visualizations to identify top-performing categories, sub-categories, and locations. It aims to deliver actionable insights for business strategy, marketing decisions, and operational improvements.

The dataset is split across two CSV files:

• Orders.csv – contains customer and order metadata (date, name, location)

• Details.csv – contains order-level details (profit, quantity, payment mode, category)

🧩 Key Features - KPI Cards: Total Amount, Total Profit, Total Quantity, Profit Margin

• Pie Charts: Sales by Category, Sales by Payment Mode

• Donut Chart: Sales by State

• Bar Chart: Sales by Sub-Category

• Map: Quantity sold across Indian States

• Interactive Slicers and Filters

⚒️ Tools & Techniques Power BI Desktop

DAX Calculations

Custom Visual Design for Clean UI/UX

Title: New Zealand Sales and Profit Analysis Dataset

Overview: This dataset represents a hypothetical sales and profit dataset for various product categories across different regions in New Zealand. It has been designed to analyze sales trends, profit margins, and regional performance for business decision-making and visualization in Power BI. The data includes key fields like product categories, regions, sales amounts, profit margins, and order dates, making it suitable for creating dashboards, conducting trend analysis, and exploring interactivity through filters.

Purpose: The purpose of this dataset is to:

Provide a structured dataset for building Power BI dashboards. Enable users to practice analyzing sales and profit trends. Allow exploration of regional sales performance and product category comparisons. Showcase advanced data visualization techniques, including KPIs, slicers, and time series analysis.

Columns in the Dataset:

Order_ID: A unique identifier for each transaction. Product: The name of the product sold. Category: The category the product belongs to (e.g., Electronics, Clothing, Toys). Region: The New Zealand region where the sale was made (e.g., Auckland, Wellington). Sales: The revenue generated from the sale (in NZD). Profit: The profit made from the sale (in NZD). Order_Date: The date when the order was placed. Applications: This dataset can be used for:

Creating sales and profit dashboards in Power BI. Practicing data visualization techniques and storytelling with data. Exploring key metrics like Total Sales, Total Profit, and Profit Margins. Understanding regional and category-wise performance. Insights You Can Gain:

Which regions are the highest contributors to sales and profit. Which product categories are performing well. Trends in sales and profit over time. How sales and profit are distributed across New Zealand. Dataset Size:

Rows: 499 Columns: 7

Licensing: This dataset is hypothetical and created for educational purposes. It does not represent real business data.

Sample dataset used in Power BI sales dashboard templates including sales revenue, pipeline, leads, marketing campaigns, and regional performance data.

Power KPI for Power BI

HR analytics dataset used in Power BI dashboards and report templates to analyze employee performance, attrition, recruitment metrics, workforce diversity, and HR KPIs.

Learn how to configure Power BI and Power BI Report Server to integrate with Cloudera Octopai.

Federal contract award data for Microsoft Power BI Course Instruction, awarded by DEPT OF DEFENSE in the Computer Training sector. Sourced from SAM.gov federal procurement database.

Section and Beat Outline for Power BI maps

Dataset

This dataset was created by M.Bakhtiar Salik

Released under CC0: Public Domain

Contents

Discover the booming Business Intelligence (BI) Analysis Tools market! This in-depth report reveals a $25 billion market in 2025, projecting 12% CAGR through 2033. Explore key trends, leading companies (Tableau, Power BI, Qlik), and regional insights. Gain a competitive edge with this comprehensive market analysis.

Federal contract opportunity data for Microsoft Power BI Course Instruction, posted by DEPT OF DEFENSE in the Computer Training sector. Sourced from SAM.gov federal procurement database.

Explore the booming Power BI consulting service market, driven by enterprise data analytics needs and SME digital transformation. Discover market size, CAGR, drivers, and regional growth.

Diabetes Analytics Dashboard – Power BI 🩺📊 This practice dashboard is built for Data Analytics, Data Visualization, and Data Science learning. It provides meaningful insights into diabetes risk factors using interactive visuals and advanced analytics.

🔹 Key Metrics – Total patients, BMI, glucose, blood pressure, and insulin levels. 🔹 Diabetes Risk Segmentation – Categorized into High, Medium, and Low risk groups. 🔹 Trends & Distribution – Glucose vs. Age, BMI categories, and Blood Pressure analysis. 🔹 Correlation Analysis – Exploring the relationships between glucose, BMI, and diabetes risk. 🔹 Gauge & Pie Charts – Visualizing risk percentage, BMI distribution, and glucose levels. 🔹 Interactive Filters & Drilldowns – Allowing deeper exploration of specific patient groups. 🔹 Predictive Insights – Identifying potential risk patterns through visual analytics.

This project helps in understanding data-driven healthcare insights using Power BI. Thanks to Kaggle for the dataset!

This tender involves the acquisition of Microsoft 365 and Power BI software licenses and services. The procurement aims to enhance organizational productivity and data analytics capabilities through these integrated Microsoft solutions. The contract covers software provisioning, implementation support, and related technical services.

From 2016 to 2018, we surveyed the world’s largest natural history museum collections to begin mapping this globally distributed scientific infrastructure. The resulting dataset includes 73 institutions across the globe. It has:

• Basic institution data for the 73 contributing institutions, including estimated total collection sizes, geographic locations (to the city) and latitude/longitude, and Research Organization Registry (ROR) identifiers where available.

• Resourcing information, covering the numbers of research, collections and volunteer staff in each institution.

• Indicators of the presence and size of collections within each institution broken down into a grid of 19 collection disciplines and 16 geographic regions.

• Measures of the depth and breadth of individual researcher experience across the same disciplines and geographic regions.

This dataset contains the data (raw and processed) collected for the survey, and specifications for the schema used to store the data. It includes:

1. A diagram of the MySQL database schema.
2. A SQL dump of the MySQL database schema, excluding the data.
3. A SQL dump of the MySQL database schema with all data. This may be imported into an instance of MySQL Server to create a complete reconstruction of the database.
4. Raw data from each database table in CSV format.
5. A set of more human-readable views of the data in CSV format. These correspond to the database tables, but foreign keys are substituted for values from the linked tables to make the data easier to read and analyse.
6. A text file containing the definitions of the size categories used in the collection_unit table.

The global collections data may also be accessed at https://rebrand.ly/global-collections. This is a preliminary dashboard, constructed and published using Microsoft Power BI, that enables the exploration of the data through a set of visualisations and filters. The dashboard consists of three pages:

Institutional profile: Enables the selection of a specific institution and provides summary information on the institution and its location, staffing, total collection size, collection breakdown and researcher expertise.

Overall heatmap: Supports an interactive exploration of the global picture, including a heatmap of collection distribution across the discipline and geographic categories, and visualisations that demonstrate the relative breadth of collections across institutions and correlations between collection size and breadth. Various filters allow the focus to be refined to specific regions and collection sizes.

Browse: Provides some alternative methods of filtering and visualising the global dataset to look at patterns in the distribution and size of different types of collections across the global view.

Search Power bi HS Code on Seair.co.in. Get verified Power bi trade data with shipment records, exporter-importer details, and customs reports.