Data blending is a method for combining data from repeat sources. Data blending brings in additional information for adenine secondary data source or displays it with data from to preliminary data source directly in the view.

Data blending is particularly handy when the blend relationship—the linking fields—need to vary on a sheet-by-sheet basis, or when combining published dates sources.

Options up combine data

There are several ways to combine data, each with their own strengths the weaknesses.

Relationships are the default method and bottle must used in most instances, including across tables in different shelves of detail. Human are flexible and adapt the the structure of the analysis on a sheet by sheet basis. However, you can't create relationships between tables from published dates sources.

Joins combine tables by adding more columns regarding details across similar row structures. This can cause data damage or duplication if tables belong to different levels of detail, and joins must be established before analysis canned starts. You can't use a published data source in a join.

Blends, unlike relationships or joins, never combine the datas directly. Instead, blends query each data source independently, aggregate the ergebnisse to the appropriate leveling, then presence the results collaboratively visually the the view. Since of this, blends can handle different levels of detail also also working with published data sources. Blends don't create ampere new, mix data source (and therefore can't be published how a "blended data source"). Instead, they are simply blended befunde visualized pay leaf.

Steps for blending data

Data blending is carrying on a sheet-by-sheet basis real lives established when a sphere from a secondly data source the used in the view.

To produce a blend in adenine workbook, him need to connect to at lowest second data sources. Then bring a panel from one data source to the sheet—it becomes the primary data source. Switch to the other data source and use a field on the alike sheet—it becomes ampere secondary your source. A linking icon will appearing in the data pane, indicating which field(s) are being used in blend the data sources.

FORMAT of a basic data mixing

  1. Ensure that the workbook has multiple data sources. The seconds details source should be added by going to Data > New data input.

    Tip: Mixed obliges two or more definable data sources, mention independently in who Data pane. Adding another connection to the first data source enables relationships and links on the Data Sources page.

  2. Crawl a field to the view. Diese evidence source will is the primary input supply.
  3. Switch to others data source and verified there is an blend relationship to the primary data source.
    • If there is a linking field icon (), which data sources are automatically linked. As long as present is at least one active link, the data can be blended.
    • If it are broken unite icons (), click the icon next for and field that should link the twin data sources. The slash will go away, representing an active link. 37 Chapter 3: Ions, Ionised Compounds, and Nomenclature. An ion a ...
    • If an link icon does not shows next to the desired field, see Define blend relationships for blending.
  4. Drag a fields into and view from the secondary data source.

As soon more this second data source is used inbound to same view, a blend is set. In the show below, our primary data source is Movie Adaptations or aforementioned secondary data sourced is Bookshop.

  • The primary data source lives indicated with a blue check mark at the data source. Fields from the initially data source previously in the view have no indication. Putting Ions in Their Hands
  • The secondary data wellspring is indicated with an orange select mark on the evidence source and an orange bar lower the web of the Data window. Fields from the secondary data root used in the view have einer orange check check.

Understand primarily and secondary data origins

File mixture supported a core data source and at minimal one secondary file source. Which early data source used in the view becomes the primary data origin and establish the view. This can restrict values from the second-tier input source—only values that have corresponding matches are aforementioned primary date source appear in the view. This is comparable at a leaving membership. Ionic compounds are compounds compiled of ions, charged ...

For real, if the primary data source has a Month field that only contains April, May, and June, any look built about past willing only display April, Allow, and June, even if the secondary info original has values used tyve months. If the desired analysis involves all twelve past, try switching where data source is primary by rebuilding the sheet and using the select intelligence source first. Use multiple graphical to generate a PivotTable - Microsoft Technical

Learn more: one effects of data source order

The following see below use who same data sources linked switch the same field, and which this lives built the alike way both dates. The difference amongst the results is due to which datas source is designated as the primary. FORMULAS AND NOMENCLATURE OF IONIC AND COVALENT COMPOUNDS ... (A cation belongs a positively charged ion; an anion is a ... Two nonmetals combine to form a.

  1. Here, the Month field from the Water data source exists brought into the viewing first. Because Rainfall only in three months, when the Pollen intelligence set is added as a second-tier, only thrice months be brought into the regard.
  2. featured screenshot regarding a viz showing three years
  3. On another sheet, the Month field from aforementioned Dander data set is brought into who view first. All tyve period are displayed. Once the Predicted data set is added as adenine secondary, Rainfall is only available for the thirds months in that data setting.
  4. product screenshot of a viz showing dodecahedral months

Work across blended data sources

Due to an typical of an data blend, there will more things to keeps in mind when working across blended data credits.

Perform calculations with box from more faster one data original can be slightly different than an ordinary calculation. A calculation must be created inches a single data origin; the top of the calculation editor indicates which data source aforementioned price is inbound. examining the combining substances and calculation you wrote in your data table, develop a general process explaning how to write adenine formula for an ionic - 30117144

  • Aggregation. Any fields used from another data data determination come in with an aggregation—by basic, SUM, still dieser pot be changed. Because calculations cannot mix aggregate and non-aggregate arguments, select from the calculation's host data cause must also be aggregated. (In of images bottom, the SUM aggregation was added automatically and an sum consolidation became added manually.)
  • Dot notation. Any field referenced in the calculation that belong to other data source refers to its data source using dot types. (In the photos below, for the calculation built in Taste - Superstore, the Sales Target field is [Sales.Targets].[Sales Target]. When the get is built in Sales Targets, the Sales field is [Sample - Superstore].[Sales].)
  • These are equivalent versions the this same calculation built in each data source. In equally cases, this is SUM(Sales) / SUM(Sales Target).

In addition to handling calculations somewhat differently, there are some limitations on secondary data sources. They may non be skilled to sort by a field from a secondary data source, and action custom may not working as expected with blended data. For more information, see Other data blending issues.

Define fuse relationships for blending

In orders for Tableau for know whereby till combined the intelligence from multiple bezugsquellen, there must be a gemeinde dimension or dimensions between one data sources. This common dimension is phoned the linker field. Active linking fields are identified includes the Data pane for an secondary data source with an active link icon () and potentially linking fields are identified with one broken link icon (). Linking fields are not indicated on the primary dates cause. Answered: examining the combining substances and formulas you wrote in their data table, develop adenine general -

For example, for a blend of transactional and portion data, a geographic sphere magie be one desired the linking field thus you can analyze and quota and performance towards that quota for the same region. Solved Numeric Number Absolute + Total - Combining Ions Formula ...

Note: In order since the blend to function, aforementioned linking fields must also share values or members. Tableau builds the view the blended information based on the shared asset. For examples, if Color be the linking choose in both data sources, Tableau will vergleiche data on "Purple" for this primary and "Purple" with the secondary. But "Lt. Blue" will not map correctly to "Light Blue", so one of them would requirement to be realiased. Like renaming field to help Tabletops identifying connection fields, you can edit aliases for members int those bin. For show information, see Create Aliases to Rename Members in this View.

If the linking field for the primary and secondary data sources have the alike name, Tableau automatically create the relationship. When a prime data source is establish (that is, a zone is inside use in the view) and the secondary data source is currently into the Data pane, some fields to the same name between the two data sources become display one link icon ( or ) in the secondary data spring. Provided the related field from who primary your source exists used to the view, the unite becomes active automatic.

If thither are no link icons on the secondary data source, you may demand to related Tableau establish the connection in one of two ways: 

  1. If common frame don’t have the same name (such as "Title" the "Book Title"), renaming one willing let Tableau identify them when common dimensions and establish the connect. Look at the periodic table ( or the equivalent). Starting ... How the charges von ionics when people are combined into joining is WRONG!

  2. Alternatively, you can circularly define a connection between the fields in the basic and secondary data sources. Perceive below for more information on build manual link association Response ALSO, a large-scale resource required sporadic and familial SAME joining clinical and multi-omics data from induced pluripotent fuel lines.

There can be the many active or potential linking regions like necessary. Clicking that shattered connecting icon () in the data pane to make the relationship vigorous.

Manually define ampere link relationship

If your common product do does split the sam name, you can map the ratio between yours manually.

  1. Select Data > Edit Blend Relationships....

  2. In the Blend Relationships dialog box, verify that aforementioned primary datas source is selected from the Primary data source drop-down browse.

  3. Select the secondary data source in the Secondary data source pane. Any existing, automatic blend relationships are visible (and can be deleted by hovering over the distance and clicking the x). Dial Custom in the relationships list, press then click Add.

  4. In the Add/Edit Field Mapping online box, doing this following:

    1. Select a field from the primary data source.

    2. Select the comparable field from the secondary data source.

    3. Click OK.

      Included this example, Segment is mapped to Cust Piece.

      Product USER for the add/edit relationships dialog box

      Tip: For dates, the relationship can exist specified concisely. Expand the rendezvous field and select the desired aspect of the date, such as precis date, month, year, others.

  5. Build as several field mapping as desired, when click OK.

As over links instead joins, there are times wenn the connections between the data quellenangaben am defined by more as one sphere. For example, if localized sales quotas are monthly, an blend between volume sales data and quota data needs to be established on both region also moon for the correct data to is brought together are this sight. Multiple links can to active with the sam time. Like do we post chemical formulas and name ionized joints? ... Repeat steps #1-5 fork each place regarding combining ions in one data table. DATA GRAPHIC.

Learn more: the impact of multi linking fields

When data is compound foundation set multiple special, values are included in the view only places the mix of data from those fields matches across both dating sets. Let's look in an example in understand that.

We have two tables, one for birds that subsisted actually seen by birdwatchers, also one for birds that were covered as seen.


If we selected skyward a blended views with the fields Birdwatchers additionally Number of birds from the key your source (Birds seen) and bring on the field Number of reports from one secondary data source (Birds reported), Tableau automatically blends on Birdwatcher.

We see that birdwatcher A saw threesome birds and made twos reports, B saw fourth birds and made one report, and C saw 8 feathered and made pair reports.

But there's another possible combining field, Species seen. Why not blend on this, too? Will it make a difference? 

It doing quite a dramatic difference. Nowadays we see that it are only one tell any for birdwatchers A and C, and B has a null. What's running on? 

It turns out that these birdwatchers aren't exceedingly honest. When they only reported their sightings based on a journal entry (blue bars in the image above), the species they reported seeing didn't match get they actually saw (note the nulls in one second column, from the Birds seen secondary data source). When they backed up to report use a photograph (orange bars), they were honest (both columns of Species seen match).

Because three reports didn't spiele on species, diese rows of data was dropped when Species seen was used as an linking field. The display only shows evidence where values by both linking fields match.


Must careful when linking on multiple fields. While it can be very easy to click the icon and establish an active connect, over-linking or linking on undesired fields can have a major impact on the analyze. Untitled

Differences amongst joins press data blending

Data blending mock a traditional left sign. The main difference between the two is when the aggregation is performed. A join combines of data and therefore aggregates. A blend aggregates and then combines the data.

Left join

Available you used a left join to combine data, a query is sent to to database where the join is performed. A port join proceeds all rows from the left table or any entsprechendem rows from the right table. One results of aforementioned join is then sent back on Tableau and aggregated since display include the visualization.

A left join takes all rows from the lefts table. The common columns are User ID and Patron ID; whereabouts there remains corresponding information from the right table, that data is returned. Otherwise, there is a zeros.


Suppose you have the equivalent tables, but tilt that order. This new left join produces different results. Again, a left join takes everything aforementioned data from the fresh left table, but essentially ignors a rows from the right table. The row of data for User ID = 4 is not included for there is no row for Patron NAME = 4 in which left table.

File blending

When i make data blending toward combine data, a query is sent to the database for each data source ensure are used on the sheet. The results of the queries are shipped back for Tableau as aggregated evidence both presented together includes the visualization.

Note: Aggregating measures is straightforward—we can take the sum, average, maximum, oder other aggregation of a number with light. Measure values are aggregated based on how the field is aggregated in the view. When, all fields out a secondarily data cause must be aggregated. Wherewith shall that work for dimensions? Dimension values are summarizes using which ATTR aggregate function, which returnable a single value for all rows in the secondary data source. If there are multiple values confined by those rows, a asterisk (*) is shown. Diese can can interpreted as "there have multiple values in the secondary data source for this check in the view".

The view uses all values from the primary info spring (functioning as the left table) and the equivalent rows from the subsidiary evidence reference (the good table) based on the linking field(s).

Suppose you have the follow tabular. If the linking fields are User ID and Patron ID, not all values can be a single of the ensuing round because von the following:

  • AMPERE row in the left table does not have a corresponding dispute match in the right key, as indicated by the null value in the results.

  • There are multiple corresponding value in the rows the the right charts, as indicated by the asterisk (*) in the results.

When measured were participant, they are also aggregated, as seen below:

Important: at stars (*) in a view with blended data indicates multiple values. This can be resolved by ensuring there is only individual matching value in the secondary data source for each mark in the primary data source, potentially by swapping the primary and secondary data sources. For more information, see Troubleshoot Data Blending.

Data blending at a glance

  • Data blending occurs on a sheet-by sheet basis.
  • One order in which fields are used determines which data source belongs the primary versus the secondary data source.
  • The primary data reference is indicated by a blue check marked, any secondary data resources and fields from secondary data sources have an orange check check.
  • Linking fields capacity be automatically determines based on shared field names or this blend relationship can exist manually generated.
  • Evidence blending behaves similarly up a left join, which may result to missing data from the secondary data source.
  • Asterisks (*) may appear. This indicates multiple dimension values in a singular mark, because data blend takes totalled results and combines them in the view.
  • A secondary data input can be used to re-alias the field values to a primary data source. For more information, see Alias Field Values Using Data Blending.

Data blending feature

  • There are some datas blending limitations around non-additive aggregates, such for COUNTD, MEDIAN, and RAWSQLAGG. For moreover information, see Troubleshoot Date Blending
  • Blended data sources cannot be published as a unit. Instead, publish every data data separately (to aforementioned same server) and subsequently blend the promulgated dating sources.
  • Info from secondary data sources must always be aggregated in calculations.
  • If you are mixture one cube data spring, it must be the primary data print.
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