Stop 07 · BI Tools & DashboardsTopics · 2/9

Tableau Fundamentals

In short

Tableau is famous for one thing: you drag a field, and a chart appears. That speed makes it great for exploring data visually and finding the story before you build the dashboard.

A BI tool known for its drag-and-drop visual analytics and strong default chart aesthetics — widely used in product and analytics-mature companies globally.

The jaadu places coloured blocks on shelves so they form a bar chart.

Think of it like this

Arranging blocks on shelves

Give a child coloured blocks and shelves, and they build a bar chart without thinking. Tableau works the same: put a category on the Columns shelf, a number on Rows, and bars appear. Drop a field on Colour and the blocks change colour.

Watch it happen

Building a view from the data pane

Data source

Dimensions

Measures

Region

Order Date

SUM(Sales)

SUM(Profit)

1/4Tableau splits fields into dimensions, which slice data, and measures, which get added up.

The big ideas

What you need to know

Dimensions and measures

Dimensions are categories you group by. Measures are numbers that get aggregated, usually SUM by default.

Blue and green pills

Blue pills are discrete, making headers. Green pills are continuous, making axes. The colour tells you how a field will draw.

The Marks card

Colour, Size, Label, Tooltip and Detail control how each mark looks and what it shows.

Sheets to dashboards

Each worksheet is one chart. A dashboard places several sheets together with filters and actions.

Save yourself the pain

Common mistakes

Oops

Accepting whatever chart Show Me suggests.

Do this instead

Start from your question. Show Me is a shortcut, not a decision-maker.

Oops

Publishing company data to Tableau Public to share it.

Do this instead

Tableau Public is visible to everyone. Use it only for public datasets in your portfolio.

Your mission

Explore Superstore

~30 min

Quick check

In Tableau, a green pill on the Rows shelf usually means what?

Go deeper

1Use Tableau Public (free) to build a small dashboard from a sample dataset.
2Practice dragging dimensions and measures onto the canvas to build different chart types.
3Compare the experience directly to Power BI to see which mental model clicks better for you.