Ravindra BagaleCourses & study guides मराठी Track your progress

14. Visuals and Their Formatting

Now let us see how to make a report good-looking and useful – Visuals and formatting. Bar, line, combo, scatter, card, matrix, AI visuals... in this module we learn when to use each visual and when not to. Remember, the right chart matters more than a pretty chart.

What you will learn in this module

  • Creating visuals, the field wells and the Format pane (Visual vs General tabs)
  • A "choose the right chart" table based on the business question
  • Every built-in visual: what it is for, when not to use it, field wells, an example on our data and its key formatting options
  • The Analytics pane: constant, average, median, percentile, trend and forecast lines
  • AI visuals, text/image/shape/button elements, R/Python visuals and AppSource custom visuals

Live story: Which chart for which question?

Suppose the Netflix India content team wants a one-page view of watch hours by language (fictional numbers). Hindi, Marathi, Tamil and English shows sit in one table. A pie chart with 12 slices hides the answer. A sorted bar chart shows it in one second. This chapter picks the right visual and formats it so a manager reads it fast.

All numbers in this story are fictional practice data.

Concepts in this chapter

  1. 14.1Creating a Visual Step by Step
  2. 14.2The Format Pane: Visual Tab, General Tab and Analytics
  3. 14.3Choose the Right Chart
  4. 14.4Bar and Column Charts (Stacked, Clustered, 100% Stacked)
  5. 14.5Line, Area and Stacked Area Charts
  6. 14.6Line and Column Combo Charts
  7. 14.7Ribbon Chart
  8. 14.8Waterfall Chart
  9. 14.9Funnel Chart
  10. 14.10Scatter and Bubble Charts (with Play Axis)
  11. 14.11Pie, Donut and Treemap
  12. 14.12Map, Filled Map, Shape Map and Azure Map (Summary)
  13. 14.13Gauge
  14. 14.14Card, Card (new) and Multi-row Card
  15. 14.15KPI Visual
  16. 14.16Slicer
  17. 14.17Table
  18. 14.18Matrix
  19. 14.19AI Visuals: Decomposition Tree, Key Influencers, Q&A, Narrative
  20. 14.20Text Box, Image, Shapes and Buttons
  21. 14.21R and Python Visuals, and Custom Visuals from AppSource
  22. 14.22Small Multiples and Visual Calculations (Quick Look)
  23. 14.23The Analytics Pane
  24. 14.24Sparklines in a Table or Matrix
  25. 14.25Visual Calculations (Version-Dependent)
  26. 14.26Anomaly Detection on a Line Chart
  27. 14.27Copilot in Power BI

The chapter recap is at the end of the last concept page.

Ravi Sir's Cards: 32 revision, interview and comparison cards for this chapter · मराठी cards