Tableau Joins – Types of Joins in Tableau

1. Objective

In this tutorial for Tableau, we are going to learn about what is Tableau joins. Types of Joins in Tableau: Tableau Inner Join, Tableau Right Join, Tableau Left Join, and Tableau Full Outer Join. Tableau joins can be used for transferring and connecting to the popular Multiple data sources. Here, we will study Tableau joins multiple tables and Tableau Join tables from different databases.

What are Tableau Joins

Tableau Joins – Types of Joins in Tableau

2. Introduction to Tableau Joins

Data change of integrity may be a quite common demand in any knowledge analysis. You will get to be part of knowledge from multiple suppliers. Also be a part of knowledge from totally different tables in an exceedingly single source. Tableau provides the feature to affix the table by victimization the info pane accessible below Edit knowledge supply within the knowledge menu.
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3. Types of Joins in Tableau

There are basically four types of Joins in Tableau

Types of Tableau Joins

Types of Tableau Joins

Start by connecting to the programme as you’d if you were attending to connect with one table. Within the association Menu below Step two, choose Multiple Tables and click on the Add Table button to show the Add Table menu. Then choose the Returns table as you see in Figure.
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Illustration – How to Join Multiple Table

Tableau Joins - How to Join Multiple Table

Tableau Joins – How to Join Multiple Table

While within the Add Table menu makes sure that the Returns table is highlighted and click on the be part of the button. This can expose the menu within which you outline the be part of a kind as you see.

Tableau Joins - How to Join Table

Tableau Joins – How to Join Table

In the example, you see that the Left outer be part of a kind which is select. If you preview the results can|you’ll|you may} see that the be part of will lead to nine,426. Following these steps ends up in a left outer be part of between the Orders and Returns tables.
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Keep in mind that you simply also can be part of further tables later just by inform at the information source on your data shelf, right-clicking, and choosing the Edit Tables possibility. Victimization completely different be part of sorts may end up in numerous record counts. Therefore, it’s necessary that you simply perceive the various be part of sorts.

a. Default Inner Join

When you be part of 2 tables along Tableau can default to the inner be part of a kind. Figure-1 shows a Venn’s diagram that illustrates Tableau inner Join.
Using associate inner be part of returns solely records that match in each the left and right tables. Within the Superstore example, this is part of kind returns solely xcviii records. It’s honest to apply after you be part of tables to understand what percentage records there are in every table. If you’re operating with a programme you’ll be able to investigate every tab and note the entire row counts in every. Keep in mind to deduct the header from your row totals or else, as you’re doing the be part of, utilize the preview buttons to ascertain the row counts.

Tableau Joins - Inner Join

Figure-1 Tableau Joins – Inner Join

When you complete the be part of you’ll be able to additionally drag the record count field into the read to visualize what percentage total records are on the market. You’ll be able to have over one be part of the clause to confirm that the right results ar came back. If you’re an info professional this won’t gift any challenge and you’re like several Tableau users you’re most likely not familiar with making joins. If you run into issues, provoke facilitate from a info professional.
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b. Left and Right Join

Tableau Joins provides 2 alternatives be part of sorts via purpose and click on choices within the be part of a menu. These were part of sorts provide priority to either the left table or the proper within the set came back.
Pick the {first} table first, Within the previous example, the first table is that the Orders table. Therefore, it’s thought-about the left table. The new table added to the be part of is that the Returns table on the proper. Choosing left provides priority to the initial table choosing right provides priority to the new table. However, what will it mean?
Figure-2 shows a Venn’s diagram of the tableau Left Outer Join.
In the example, the left is part of returns each record within the orders table and the matching records within the returns table. Earlier you saw that be part of generated over 9 thousand records coming back. The proper be part of provides priority to the proper returns table as you see in Figure-2

Figure-2 Tableau Joins - Left Join

Figure-2 Tableau Joins – Left Join

Since there are fewer rows within the returns table the number of records can drop considerably and solely embody details from matching records in orders. If you preview results once victimization left and right joins you’ll see lots of null fields in yellow. Or, if you check the record counts and place the key record that you simply use within the be part of on your row shelf. You may see the word null seem whenever a record exists within the primary table that’s missing from the joined table.
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Figure-3 shows a Venn’s diagram of the tableau Right Outer Join.
In Superstore, a right be part of would lead to one, 673 records coming back. However, solely ninety-eight of these records are going to match to the orders table. The remaining one, 573 records can come back null. These are the order records within the order table that don’t have any matching record within the returns table.

Figure-3 Tableau Joins - Right Join

Figure-3 Tableau Joins – Right Join

c. Full Outer Join

This style of being part of returns all records from the Players table and everyone records from the earth science table.
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Figure-4 shows a Venn’s diagram of Tableau Outer Join.

Figure-4 Tableau Joins - Full Outer Join

Figure-4 Tableau Joins – Full Outer Join

We hit the primary instance in Tableau once playacting a be part of isn’t just a matter of dragging information tables to the canvas and choosing the desired be part of a kind. For a Full Outer be part of a custom SQL statement needs to be written.
Later on for a Left Excluding be part of and a Right Excluding is part of we are going to even have to write down custom SQL statements and a Full Outer be part of syntax has 3 components. It’s engineered from the Left Excluding be part of + the correct Excluding be part of + the Inner be part of. The ‘excluding’ joins are achieved by adding the ‘Where’ clause at the tip of the Left or Right be part of SQL blocks, therefore excluding all those records that don’t accommodate the ‘Where’ clause.
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Tableau’s profile is visual analytics, information visualization, having the ability to raise queries from your information terribly quickly, it’s a front-end tool. Alteryx may be a back-end tool, facultative quick and versatile information personalization, information improvement, etc. Thus we have a tendency to expect an answer or simply a number of clicks on this part of from Alteryx.

4. Conclusion

Hence, in this tutorial, we learned about what are joins in Tableau. Different types of Tableau Joins, Tableau Inner Join, Tableau Right Join, Tableau Left Join, and Tableau Full Outer Join. As a result, Tableau joins Use for connecting the different tables. With the end of this tutorial, we complete yet another step in our journey.
Related Topic- Joining Data in Tableau – Inner Join
For reference

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