These is a sample data that I'm getting right now:
... where row 3 of the header is a 'Priority'. Group 3 has no records with Priority 1, 3, or 4, so the report only shows 1 column with Priority 2 for that group. What I need is to display all 4 columns for each group, even if there are no records with this priority, it just should have zeros as a count in that column. Here is an example of what this should look like:
Any help is greatly appreciated!
Depending on how your database is set up, try this:
Go to file -> report options -> and check "Convert Database NULL Values to Default" and "Convert Other NULL Values to Default." The reason why it's doing this, is because the value is not 0, it is actually just null.
You would have to create an 'expected' table with the PK values from your source table. Including even the ones without data, then left outer join the expected table with your actual source.
Or you can use a 'union all' on the rows from your source table and the stub rows with values of zero instead of null.
Related
I have a dimension I am showing in a text table that can have one of 3 possibilities "A", "B", or "C" and I want at all times to have A, B and C shown in a text table even if one of them has 0 occurrences. The issue is that I am filtering this based on date, so it is possible that for example B may not exist, but I still want to have a 0 printed for B.
I have gone to Analysis -> Table layout -> show empty rows which will show "B", but in the count display it shows a blank. How can I get it to display a 0?
This problem is very famous among tableau users and I still did not see a generic tableau-only solution. All proper solutions start with injecting rows to your data which I assume you do not want this.
Below method will only work if you have a Date Dimension on the measure and no-data dates are not completely filtered-out; so you will be seeing zeros even though that date has no data as you may see on below screenshot.
When you filter out the no-data dates, unfortunately you will keep on seeing NULLs.
If you are using the SUM of Number of Records as your occurrences, then you may create a calculated field as below and use it in your pane:
ZN(LOOKUP(SUM([Number of Records]),0))
You can leave the Default Table Calculation as Automatic so the Results are computed along Table (accross).
I have a dataset that I'd like to summarize in chart form. There are about 30 categories whose counts I'd like to display in a bar chart from about 300+ responses. I think a pivot table is probably the best way to do this, but when I create a pivot table and select multiple columns, each new column added gets entered as a sub-set of a previous column. My data looks something like the following
ID Country Age thingA thingB thingC thingD thingE thingF
1 US 5-9 thB thD thF
2 FI 5-9 thA thF
3 GA 5-9 thA thF
4 US 10-14 thC
5 US 10-14 thB thF
6 US 15-18
7 BR 5-9 thA
8 US 15-18 thD thF
9 FI 10-14 thA
So, I'd like to be able to create an interactive chart that showed the counts of "thing" items; I'd then like to be able to filter based upon demographic data (e.g., Country, Age). Notice that the data is non-numeric, so I have to use a CountA to see how many there are in each category.
Is there a simple way to display chart data that summarizes the counts and will allow me to filter based on different criteria?
The query can summarize the data in the form you want. The fact that you have "thA", "thB", etc, instead of "1" complicates the matter, but one can transform the strings to numeric data on the fly.
Assuming the data you've shown is in the cells A1:I10, the following formula will summarize it:
=query({B2:C10, arrayformula(if(len(D2:I10), 1, 0))}, "select Col1, Col2, count(Col3), sum(Col3), sum(Col4), sum(Col5), sum(Col6), sum(Col7) group by Col1, Col2", 0)
Explanation:
{B2:C10, arrayformula(if(len(D2:I10), 1, 0))} creates a table where the first two columns are your B,C (Country, Age) and the other six are filled with 1 or 0 depending on whether the cells in D-I are filled or not.
select Col1, Col2, count(Col3), sum(Col3), ... group by Col1, Col2 selects Country, Age, the total count of rows with this Country-Age combination, the number of rows with thingA for this Country-Age combination, etc.
the last argument, 0, indicates there are no header rows in the table passed to the query.
It's possible to give labels to the columns returned by the query, using label: see query language documentation. It would be something like
label Col1 'Country', Col2 'Age', count(Col3) 'Total count', sum(Col3) 'thingA count', ...
Add a Count column to your data with a "1" for whatever occurrence, this might solve your problem in the Pivot Table. I was just looking for a solution and thought about this. Working now for me.
I'm working in Pentaho 4.4.1-GA (Kettle / PDI). The database is Postgres.
I need to be able to insert multiple records into a fact table based on the fields that come from a single record. The single record contains fields:
productcode1, price1
productcode2, price2
productcode3, price3
...
productcode10,price10
So if there was a value for each of the 10 productcode / prices then I'd need to insert a total of 10 records into the fact table. If there were values for 4 of the combinations, then I'd need to insert 4 records into the fact table, etcetera. All field values for the fact records would be identical except for the PK (generated by sequence), product codes, and prices.
I figure that I need some type of looping construct which would let me check whether or not a value was present for each productx field, and if so, do an insert/update step on the fact table with the desired field values. I'm just not sure how to do this in Pentaho.
Any ideas? All suggestions are welcome :)
Thank You,
Rakesh
Could you give a sample input and output for your scenario??
From your example data I can infer that if there are 10 different product codes and only 4 product prices you want to have 4 records inserted into your table. Is that so?
Well for a start you can add a constant value of 1 to those records by filtering for NOT NULL and then use an Group BY Step to count the number of 1's. This would give you the count. BTW it would be helpful if you could provide more details on what columns you would be loading as there are ways to make a PDI transformation execute multiple times
I have Tableau report where I am showing data by category in columns.
The table shows all columns when there is no filter on data. But when filter is applied, some of the categories do not have data, so table shrinks, hiding columns without data
Is there a way to always show columns regardless of data or not in that column?
Please see screenshots below.
Go to Analysis >Table layout> Show columns with no data or
Analysis>Table layout>Show rows with no data
The next step depends on whether your "disappearing" fields are dimensions or measures.
If you want to force the display of members for specific dimensions, then one (kind of complex) solution is to use an advanced Tableau feature called data blending to force the existence of dimension members, even if there are no related measure values. The trick is to make a simple data source, say a text file, that lists the members of each dimension. Use that source as the primary data source, and make the original data source the secondary source.
Go to Analysis >Table layout> Show columns with no data or Analysis>Table layout>Show rows with no data
Also You can right click on header and select show missing values if you are using line chart.
Solution 1: (When you’re working with Dates or Numeric bins)
Right click on the numerical or Date column to extrapolate the missing values. As you notice in the lower part of the screenshot, this will not work on Categorical data !
Solution 2: Categorical Data
As indicated in the accepted answer, Analysis > Table Layout > Show Empty Rows will get you the same result for Categorical (Text) Data
Solution 3: Calculated Columns
If for some reason, none of the 2 above point & click solutions work, you can create calculated columns to calculate the measure for each of the Categories with the below formula and then line them up on the Columns to achieve the same result
Profit (Category 1)
IF MyColumn = "Category 1" THEN
Profit
ELSE
NULL
END
Profit (Category 2)
IF MyColumn = "Category 2" THEN
Profit
ELSE
NULL
END
Not the most convenient solution when you have hundreds of unique values in your column, but nevertheless a workaround !
I have a report that shows items by goups.
Lets say he groups are:
In Inventory
In Process
When there is no data In Inventory, that row is not shown. any idea how to show a row with 0 inventory?
It sounds as though you are grouping on a field (such as stock item status), where there may be 0 rows returned for certain values of the field (such as In Inventory). The answer is to amend your query to right outer join to a lookup table holding all values of the grouping field, for example as follows:
select lu.status_value stock_item_status,
si.stock_item_status item_status,
si.stock_item_id,
coalesce(si.quantity,0) quantity
from stock_item si
right join stock_item_status lu
on si.stock_item_status = lu.status_value
This will now include a row returned for stock_item_status values with no corresponding stock_items, with null values for all of the stock_item fields.
If you were including a subtotal of stock_item.quantity values for each status, changing this to coalesce(...,0) should ensure that this null value is displayed as 0.
If I'm understanding you correctly, you've got a field {table.inventory} that holds the number of items in inventory that has a null value when the inventory is zero? When you group on this field you're not seeing the rows with null values in this field?
Crystal should still display those rows, just in a group with a null group name. To fix this you can go into the Group Expert -> Select the group in question -> Options -> Options tab -> Select 'customize group name field' -> and then specify a formula as a new group name field where you simply check to see
if isnull({table.inventory}) then 0 else {table.inventory}
Similarly, you can just create a formula that does this and group on that instead.