After connect to data sources in tableau, the next step is to create among the tables.

Before or during your analysis, you may want to make changes to the Tableau data source. You can do that on the data source page. Tableau takes you to the data source page after you establish the initial connection to your data. You can also access the data source page by clicking the Data Source tab from any location in the workbook.

Watch a video: To see related concepts on connecting to data and using the Data pane, watch Getting Started with Data(Link opens in a new window), a 6-minute free training video. Use your tableau.com(Link opens in a new window) account to sign in.

Although the look of the page and the options available vary depending on the type of data that you are connected to, the data source page generally consists of four main areas: left pane, canvas, data grid, and metadata grid.

After connect to data sources in tableau, the next step is to create among the tables.

A. Left pane - Displays the connected data source and other details about your data.

B. Canvas: logical layer - The canvas opens with the logical layer, where you can create relationships between logical tables.

C. Canvas: physical layer - Double-click a table in the logical layer to go to the physical layer of the canvas, where you can add joins and unions between tables.

D. Data grid - Displays first 1,000 rows of the data contained in the Tableau data source.

E. Metadata grid - Displays the fields in your data source as rows.

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Left pane

The left pane of the data source page displays details about your data—the data that Tableau Desktop is connected to.

  • For file-based data, the left pane might display the file name and the worksheets in the file.

  • For relational-based data, the left pane might display the server, the database or schema, and the tables in the database.

You can also use the left pane to add more connections to the data source to create cross-database joins.

The left pane does not display for cube (multidimensional) data.

Canvas

When connected to most relational and file-based data, you can drag one or more tables to the canvas area to set up your Tableau data source. The canvas now has two layers: a logical layer and a physical layer. The default view shows the logical layer, which uses relationships between logical tables. To go to the physical layer, double-click a logical table in the logical view and create joins and unions between tables in the physical layer. For more information, see Tableau Data Model.

When connected to cube data, the top of the data source page displays the available catalog or queries and cubes to select from to set up your Tableau data source.

Note: Depending on the type of data you are connected to, you can refresh your data when that data has changed using a number of options. For example if connected to a data extract, you can refresh a selected extract using the Refresh button

After connect to data sources in tableau, the next step is to create among the tables.
that appears next to the Connection area in the left side of the pane. For more information about refresh options see Refresh Data Sources(Link opens in a new window). For more information about refreshing data extracts, see Refresh Extracts(Link opens in a new window).

Refreshing your data source

Depending on the type of data you are connected to you can refresh your data when that data has changed using a number of options. For example if connected to a data extract,

Data grid

Use the data grid to review the fields and the first 1,000 rows of the data contained in the Tableau data source. You can also use the data grid to make general modifications to the Tableau data source like sorting or hiding fields; renaming fields or resetting field names; creating calculations; changing the column or row sort; or adding aliases. For the Web Data Connector, file- and relational-based data sources in Extract mode, you can see extract data in the grid, including extract only calculations.

When you're in the logical layer, you see the data for the selected table.

In the physical layer, you see the merged data based on the joins and unions.

To select multiple fields in the grid, click a column, and then drag the mouse to select more columns.

To select all fields, click the area in the upper-left corner of the grid like in the example, below.

After connect to data sources in tableau, the next step is to create among the tables.

The grid is not displayed for cube (multidimensional) data.

Depending on the type of data that you are connected to, click the metadata grid button to navigate to the metadata grid. The metadata grid displays the fields in your data source as rows so that you can quickly examine the structure of your Tableau data source and perform routine management tasks, such as renaming fields or hiding multiple fields at once.

When connected to cube or some extract only data, the metadata grid displays by default.

What are the three basic visualization considerations select all that apply?

Correct: The three basic visualization considerations are headlines, subtitles, and labels.

Which of the following are examples of data visualizations select all that apply?

Bar graphs, line graphs, and pie charts are all examples of data visualizations.

When using Tableau people can control what data they see in a visualization This is an example of Tableau being _____?

People being able to control what data they see is an example of Tableau being interactive.

Which of the following is not a form of data visualization?

Answer: Out of the above options, eclipse is the only tool which is not used for data visualization. It is a java script tool which used to change the environment of the document. Hence the answer is eclipse.

Which of the following is must for data visualization?

Detailed Solution. Pie charts and Bar charts are considered data visualization methods.