In Tableau, aggregation refers to the process of summarizing data at a higher level of detail. It involves grouping and calculating summary statistics such as sums, averages, counts, maximums, or minimums of a particular field in your dataset. Aggregation is an essential concept in Tableau as it allows you to analyze and visualize data at different levels of granularity.
Let's consider an example to understand the aggregation calculation in Tableau. Suppose you have a dataset that contains sales information for a company, including the following fields: "Product Category," "Region," and "Sales Amount."
Product Category Region Sales Amount
Electronics East $500
Clothing West $250
Electronics West $400
Clothing East $300
Electronics East $700
To perform an aggregation calculation in Tableau, you can follow these steps:
Start by connecting to your dataset in Tableau.
Drag and drop the desired field (e.g., "Sales Amount") to the "Rows" or "Columns" shelf. This action will automatically aggregate the data, and by default, Tableau will use the SUM aggregation.
In this example, let's say we want to calculate the total sales amount by region. Drag and drop the "Region" field to the "Columns" shelf.
Tableau will automatically calculate the sum of sales amount for each region, resulting in the following view:
Region SUM(Sales Amount)
East $1,200
West $650
In this case, Tableau aggregated the sales amount by adding up the values for each region. It provided the sum of sales amount for the East region as $1,200 and for the West region as $650.
Note that Tableau provides various aggregation functions, such as SUM, AVG, COUNT, MAX, MIN, etc. You can choose a different aggregation function by right-clicking on the field in the view and selecting the desired function from the "Measure" submenu.
By utilizing aggregation in Tableau, you can perform calculations and visualize data at different levels of detail, gaining insights into patterns, trends, and summaries within your dataset.
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