In Tableau Public, the data source sheet will not accept two joins. When I drag the second join it wont accept
No you can still perform joins.
double click on the first table, a table will open with the first data
Now again join your second data with the first data inside that table then automatically joins will happen
Now you can close that table, a join icon will be shown in your first data
Hope you got the answer :)
Related
I’m experiancing a problem when trying to link to tables in the database expert. The two fields that link the tables have exactly the same information except one table always has an additional space. For example;
Table 1 = Multivitamin/Tablets
Table 2 = Multivitamin//Tablets
‘/‘ are representing spaces
Formulas won’t help (e.g. extractstring etc) as it’s the tables themselves I need to link together
This is preventing me from retrieving the information I need. Any advice on how I can get around this?
There are some ways to come across this:
Consider using a command as datasource instead of tables. When writing the query of the command you can define the join condition yourself.
If you have access to the data source, you could add a calculated field to the tables to contain the normalized field values and then use these for linking in CR.
Alternatively, one could create views in the database, either adding normalized "linking fields" or providing the joined tables results.
If it's only a few rows in CR, you could consider using SQL fields or subreports to retrieve data from Table 2.
I have 2 tables in my visualization. One is a list of tasks to be done, and one is a list of repairs that have been done at each location. I want to be able to filter the repairs table by the locations of the highlighted tasks. Ergo if you marked a task that takes place at location 1, the second table would filter to only show repairs for location 1. Is that something that's doable?
Thanks in advance
This is pretty easy to do. You need to create a relation on the Location column between your two tables (Data table properties, Relations tab). Then create a details visualization (right click on "parent" table and select details visualization). Because you have created the relation already, it will ask you which table you want to be the "child". After selecting which table, you will be able to click on the parent, and it will filter in the child table. Also note, using the right click menu is engaging the data limiting with marking, which you will be able to see in the properties dialog, data menu. You don't have to use the right click menu to setup details visualizations. It's just easy.
I've written a lot about how to use relations and column matches. See links below. Relations integrate filtering, which is what you want. Column matches integrate marking.
https://www.bigmountainanalytics.com/apply-relations-and-column-matches-in-spotfire/
https://www.bigmountainanalytics.com/how-to-use-relations-in-spotfire/
https://www.bigmountainanalytics.com/how-to-use-column-matches-in-spotfire/
I have two sheets in excel. One has CBG (neighborhood) IDs as shown below.
The second sheet has state and county names and IDs as shown below.
Now the first 5 digits in the CBG ID are just the corresponding state and county IDs for that CBG.
I need to to join this data together in Tableau so that I would have the state and county on the CBG sheet for each CBG.
Basically I tried to blend the data and it didn't work. I also tried to perform a join calculation using the 5-digit code in the second sheet and the LEFT function to extract the 5-digits in the CBG code but it didn't seem to work either.
To fix it, just needed to fix the Join calculation on both sides of the join.
Also, it seems that both variables to be joined need to be the same data type.
The data that you analyze in Tableau is often made up of a collection of tables that are related by specific fields (that is, columns). Joining is a method for combining the related data on those common fields. The result of combining data using a join is a virtual table that is typically extended horizontally by adding columns of data.
When joining tables, the fields that you join on must have the same data type. If you change the data type after you join the tables, the join will break.
Please go through the below steps for joining tables:
In Tableau Desktop: on the start page, under Connect, click a connector to connect to your data. This step creates the first connection in the Tableau data source.
In web authoring: Select New Workbook and connect to your data. This step creates the first connection in the Tableau data source.
Select the file, database, or schema, and then double-click or drag a table to the canvas.
Double-click or drag another table to the canvas, and then click the join relationship to add join clauses and select your join type.
Add one or more join clauses by selecting a field from one of the available tables used in the data source, a join operator, and a field from the added table. Inspect the join clause to make sure it reflects how you want to connect the tables.
When you are finished, close the Join dialog.
Thank you.
I have two tables in one MySQLI database. One is called 'actions' and one is called 'links'. But recently I have noticed that many links which I have transfered from my old system don't have any actions attached to it, and I want to count how many they are. So I want to count the amount of links whose id hasn't any entries in the actions table. How can I formulate the statement. There is one id in the links table and one link_id in the actions table.
You are looking for a outer join. without a lot of details, it would look something like:
SELECT * FROM links
LEFT JOIN actions on links.field = actions.field
WHERE actions.ID is NULL;
This will give you all the links records that don't have a corresponding record in actions.
I have a Crystal Report with a database command:
The command has a join clause that can be removed and read from a table in the database, because it represents static data. I add this table (called _System) to the database expert:
Now I edit the command to remove the join and columns that reference this table. Since the report fields that depended on these columns are no longer mapped, this causes the Map Fields window to appear:
...which does not have the new table in it. If I cancel out of this I am back to where I originally was. If I hit OK without mapping, all of the unmapped fields on the report are deleted (suffice it to say... I was not expecting this >:( )
I have tried adding links between the command and the new table, and refreshing report parameters, but these have had no effect.
One workaround is to manually replace every field in the report, but this is very labour intensive.
Here is the outline of the command before:
SELECT ACT.Account_Code, ACT.Company, ACT.FName, --etc
STM.CompanyName AS 'DLRName', STM.Address_1 AS 'DLRAddress', STM.City AS 'DlrCity' --etc
FROM Accounts AS ACT
JOIN _System AS STM ON 1 = 1
GROUP BY ACT.Account_Code, ACT.Company, ACT.FName, --etc
STM.CompanyName, STM.Address_1, STM.City --etc
And after:
SELECT ACT.Account_Code, ACT.Company, ACT.FName, --etc
FROM Accounts AS ACT
GROUP BY ACT.Account_Code, ACT.Company, ACT.FName --etc
I have removed the JOIN on the _System table, and all referenced columns.
It appears to not be recognizing your _system table as a new source.
I would :
1) leave your command object SQL unchanged & get the issue worked out with the _System table, then
2) ensure that you are able to establish a join between the command object fields and the _System table fields, and lastly
3) then remap the fields.
Step two I suspect is the source of the problem, as your join condition is "ON 1 = 1" which I assume to mean that you may not have a common key field in both tables.
Note that your original command SQL selects STM.Companyname AS 'DLRName'.
Hence, crystal now know of a field called DLRName, but does not know of a field called CompanyName, hence it cannot make the association between DLRName in the old source, and CompanyName in the new source...
Likewise with the rest of the fields that are being moved from the command object to an attached table. if no name match exists...Crystal cant make the connection. However...it would list all unmatched fields that are on the report, and all unused fields in the recognized data sources, and allow you to specify the matches yourself.
But it does not...which tells me that something has gone wrong with the attempt to attach/open the _System table. Hence..you need to get that worked out first, then make the field adjustments.
If this doesnt get you thru...then show some sample data so I can see how the two tables are relating ( ensure some examples exists where there is a row match from both tables ).
I had the same problem a while ago.
Unfortunately I can't find anything online that helps, or maybe wasn't looking hard enough. I just noticed that in my case, that particular field that isn't showing in the map field dialogue box has nvarchar(max) as its datatype (in view).
I tried to force the datatype with CAST(missingfieldname as nvarchar(20)) as missingfieldname (I did this in the view), and voila, it magically appears in the map field dialogue box.
It seems that field mapping dialogue box aren't showing fields with blob texts.
I know this question was asked 4 years ago. But hopefully, this comment could help future solution seekers regarding this absurd and weird problem. I just got lucky seeing what's unique about that particular missing field.