File – Used for saving, opening, exporting, and publishing reports. You can also access settings and options.

• Home – The main tab for importing data, transforming tables, creating visuals, and refreshing data.
• Insert – Allows you to add visuals (charts, tables, slicers, images, text boxes, buttons, and shapes) to your report.
• Modeling – Used to create and manage relationships between tables, define measures, and set up calculated columns.
• View – Adjusts report layouts, themes, grid settings, and enables performance analyzer and selection pane.
• Optimize – Used to improve performance, including query optimization, performance profiling, and column storage settings.
• Help – Provides access to Power BI documentation, tutorials, support, and community forums.
• Format – Allows customization of visual elements like colors, fonts, backgrounds, borders, and axis settings.

This list is not exhaustive, as Power BI is constantly updated with new visuals and features. You can explore more visuals in the Visualizations Pane or by importing custom visuals from the Power BI Marketplace.

Format Page

1. Page information
2. Canvas Setting
1. custom (Type of space)
2. Height
3. width
4. Vertical alignment
3. Canvas Background
1. colour
2. image (browse)
3. image fit
4. Transparency
4. Wallpaper
5. Filter panel
6. Filter cards

Format Visual

Shape

1. Shape
1. Shape (Different types of shapes listed)
2. Rotation
1. All: All the items in the shape
2. Shape: Use to adjust the rotation of the shape
3. Text: use to adjust the shape of the text
3. Style
4. Action

• Table
• Matrix
• Card & Multi-row Card
• Scatter Chart
• Waterfall Chart
• Funnel Chart
• Gauge
• Treemap

📈 Advanced and Analytical Charts

These help in deeper data insights and comparisons:

• Combo Chart (Line & Column)
• Ribbon Chart
• Decomposition Tree
• Q&A Visual (Natural language querying)
• KPI Visual
• Histogram
• R Visuals (Custom R script visuals)
• Python Visuals (Custom Python script visuals)

🧠 AI-Powered Visuals

For leveraging machine learning and smart analysis:

• Smart Narrative
• Key Influencers
• Forecasting (within line chart)
• Anomaly Detection

🌐 Custom & Marketplace Visuals

You can explore many more by importing from Power BI’s Visual Marketplace, including:

• Bullet charts
• Sankey diagrams
• Sunburst charts
• Gantt charts
• Radar charts
• Timeline slicers
• Heatmaps

(These may require additional configuration or extensions.)

Would you like me to turn this into a formatted study page, or maybe suggest which chart types are best for particular kinds of data?

yes

Great! Let’s transform that chart list into a polished study page you can use for notes or quick reference. Here’s a clean, structured layout — ideal for learning or teaching Power BI visuals:

📚 Power BI Visualization Chart Types

✅ Standard Visuals

Common charts used for general data representation:

🧠 Advanced & AI-Powered Visuals

Designed for deeper insights and predictive power:

🔍 Custom Visuals (Import from Marketplace)

Enhance Power BI with specialized visuals:

• 📌 Bullet Chart
• 🔁 Sankey Diagram
• 🌞 Sunburst Chart
• 📆 Gantt Chart
• 🧭 Radar Chart
• 📍 Timeline Slicer
• 🔥 Heatmap
• 🧬 R & Python Visuals

Let me know if you'd like to turn this into a downloadable cheat sheet or personalize it based on how you use Power BI — like dashboards, reports, or analysis presentations. Want me to help with that?