Monday, August 11, 2025

TableAU Basics for MCA Semester 3 or IT Students

Prepared By : Prof. Uday Shah (HOD-IT)

TableAU Basics

1. Download and Installation of Tableau

  • Tableau offers Tableau Desktop, Tableau Public, and Tableau Prep for installation.

  • Go to the official Tableau website (tableau.com) to download the installer.

  • Tableau Public is free, while Tableau Desktop requires a license or a 14-day trial.

  • Choose the correct operating system version (Windows or macOS).

  • After downloading, run the installer file and follow the installation wizard.

  • You may need administrator privileges to install Tableau.

  • During installation, you can choose default file save locations.

  • After installation, activate using a product key or login for Tableau Public.

  • Tableau regularly provides updates for new features and bug fixes.

  • Internet connection is required for license activation and Tableau Public usage.

  • Installation process usually takes less than 5 minutes.

  • Once installed, you can start connecting to data sources immediately.

2. Tableau Navigation

  • Tableau interface consists of menu bar, toolbar, data pane, and workspace.

  • Menu bar contains options like File, Data, Worksheet, Dashboard, Help.

  • Toolbar provides quick access to frequently used commands.

  • Data pane on the left displays connected data fields.

  • Dimensions (blue fields) are categorical data, Measures (green fields) are numerical.

  • Shelves (rows, columns, filters, marks) are used to build views.

  • Marks card allows customization of color, size, label, and tooltips.

  • Tabs at the bottom switch between worksheets, dashboards, and stories.

  • Status bar shows summary info like number of marks, filter status, etc.

  • You can rearrange panes and shelves for a custom workspace layout.

  • Navigation is drag-and-drop friendly for creating visuals.

  • Keyboard shortcuts make navigation faster (e.g., Ctrl+Z for undo).

3. Tableau Data Terminology

  • Dimension: Qualitative fields like Category, Region, Product Name.

  • Measure: Quantitative fields like Sales, Profit, Quantity.

  • Discrete Data: Fixed values (blue pills) used for categories.

  • Continuous Data: Ranges of values (green pills) used for measures.

  • Table: A connected data sheet or database table.

  • Field: A column in the dataset.

  • Record: A row in the dataset.

  • Calculated Field: Custom fields created with formulas.

  • Aggregation: Summary functions like SUM, AVG, COUNT.

  • Granularity: Level of detail in the dataset.

  • Null Values: Missing data entries.

  • Hierarchy: Group of related fields arranged for drill-down.

4. Tableau Design Flow

  • Step 1: Connect to the data source (Excel, SQL, cloud, etc.).

  • Step 2: Select relevant tables or sheets from the data.

  • Step 3: Perform any necessary data preparation (joins, unions, filters).

  • Step 4: Identify dimensions and measures to use.

  • Step 5: Decide the type of visualization based on the question.

  • Step 6: Drag dimensions and measures to shelves to create the chart.

  • Step 7: Apply filters, sorting, and grouping to refine results.

  • Step 8: Use color, labels, and size for better readability.

  • Step 9: Combine multiple charts into a dashboard.

  • Step 10: Add interactive filters or actions.

  • Step 11: Format visuals for presentation.

  • Step 12: Share or publish the final dashboard.

5. Tableau File Types

  • .twb (Tableau Workbook): Contains instructions to build visualizations; does not store data.

  • .twbx (Tableau Packaged Workbook): Includes workbook + data + images in one file.

  • .tds (Tableau Data Source): Stores connection info and field definitions.

  • .tdsx (Packaged Data Source): Data source + data included.

  • .tde (Tableau Data Extract): Old extract format for storing data snapshots.

  • .hyper: New high-performance extract format replacing .tde.

  • .tms (Tableau Map Source): Stores map layer customizations.

  • .tbm (Tableau Bookmark): Saves a single worksheet for reuse.

  • .tps (Tableau Preferences): Stores custom color palettes.

  • .tfl (Tableau Flow): Stores Tableau Prep workflow.

  • .tflx (Packaged Flow): Tableau Prep flow + data included.

  • .pdf, .png, .csv: Export formats for sharing static results.

6. Tableau Data Types

  • String: Text values (e.g., "Product Name").

  • Number (Whole): Integer values without decimals.

  • Number (Decimal): Numeric values with decimals.

  • Date: Calendar date values.

  • Date & Time: Date values with time included.

  • Boolean: True/False values.

  • Geographical: Data with geographic meaning (Country, City, Postal Code).

  • Cluster Group: Grouped fields used in analysis.

  • Calculated: Custom generated field from existing fields.

  • Currency: Number formatted as money.

  • Percent: Number formatted as percentage.

  • Duration: Time intervals.

7. Changing Data Type in Tableau

  • Right-click the field in the Data Pane.

  • Select Change Data Type.

  • Choose from options: String, Number, Date, Boolean, Geographic Role.

  • You can also change data type directly from data grid view.

  • Changing data type affects how Tableau interprets and visualizes data.

  • Incorrect data types can lead to wrong analysis results.

  • Date formats can be switched between discrete (blue) and continuous (green).

  • Number formats can be set as currency, percent, or decimal.

  • Geographic roles allow map-based visualizations.

  • Data type changes apply only to the current workbook.

  • You can also use a Calculated Field to convert data type.

  • Always check your visual after changing data type.

8. Show Me in Tableau

  • Show Me is a panel in Tableau that suggests visualization types.

  • Located in the top-right corner of the workspace.

  • Displays chart types like bar, line, map, pie, scatter, tree map, etc.

  • Suggests charts based on the fields selected.

  • Greyed-out charts indicate insufficient data selection.

  • Clicking on a chart type automatically rearranges fields to fit that chart.

  • Helps beginners choose the right visualization quickly.

  • Can be used as a learning guide for chart requirements.

  • Works with both dimensions and measures.

  • Supports more than 20 chart types.

  • You can still customize the chart after using Show Me.

  • Saves time in chart creation and experimentation.


:: Best of Luck ::