0
0
Tableaubi_tool~8 mins

Interface overview (data pane, shelves, canvas) in Tableau - Dashboard Guide

Choose your learning style9 modes available
Dashboard Mode - Interface overview (data pane, shelves, canvas)
Goal

Understand the main parts of Tableau's interface: the Data Pane, Shelves, and Canvas, and how they work together to build visualizations.

Sample Data
RegionCategorySalesProfit
EastFurniture1000200
WestTechnology1500300
EastOffice Supplies700100
SouthFurniture1200250
NorthTechnology900150
Dashboard Components
  • Data Pane: Shows the fields from the data source. For example, Region, Category, Sales, and Profit. You drag fields from here to build views.
  • Shelves: Areas like Columns and Rows shelves where you place fields to create the structure of your chart. For example, dragging Region to Columns and Sales to Rows creates a bar chart by region.
  • Canvas: The main area where your visualization appears after placing fields on shelves. It updates instantly to show the chart or table you build.
  • Example Formula: To calculate total sales, Tableau automatically sums the Sales field when placed on the Rows shelf.
Dashboard Layout
+----------------------+----------------------+
|      Data Pane       |       Shelves        |
|  (Fields list)       |  (Columns, Rows)     |
+----------------------+----------------------+
|                      Canvas (Visualization)  |
|                                              |
|                                              |
+----------------------------------------------+
Interactivity

Dragging fields from the Data Pane to Shelves updates the Canvas visualization instantly. Changing fields on Shelves changes the chart type and data shown. Filters can be added from the Data Pane to filter data on the Canvas.

Self Check

If you drag Category to the Columns shelf and Profit to the Rows shelf, what does the Canvas show?

Answer: A chart showing total profit for each product category.

Key Result
Shows how Tableau's Data Pane, Shelves, and Canvas work together to build visualizations using sample sales data.