I need to trim the date from a text string in the function call of my app.
The string comes out as text//date and I would like to trim or replace the date with blank space. The column name is overall_model and the value is ford//1911 or chevy//2011, but I need the date part removed so I can loop over the array or list to get an accurate count of all the models.
The problem is that if there is a chevy//2011 and a chevy//2010 I return two rows in my table because of the date. So if I can remove the date and loop over them I can get my results of chevy there are 23 chevy models.
I have not used Sybase in a while, but I remember its string functions are very similar to MS SQL Server.
If overall_model always contains "//", use charindex to return the position of the delimiter and substring to retrieve the "text" before it. Then combine it with a COUNT. (If the "//" is not always present, you will need to add a CASE statement as well).
SELECT SUBSTRING(overall_model, 1, CHARINDEX('/', overall_model)-1) AS Model
, COUNT(*) AS NumberOfRecords
FROM YourTable
GROUP BY SUBSTRING(overall_model, 1, CHARINDEX('/', overall_model)-1)
However, ideally the "text" and "date" should be stored separately. That would offer greater flexibility and generally better performance.
Related
I created a custom column in PowerBI, which concatenate columns.
I have the following:
Text.Combine({[Nip],[Nap],[Noup]]},"_")
However, I would like to have a specific text which change based on whether or not data is present in columns. I need to check if there is data in four columns. If there is data, a specific string of character should be inserted, if there is not, no data should be inserted.
I am trying to insert the outcome of the "IF"s, but there is some complexity, I have tried this, but this is not working, Power BI is telling me "Token Eof expected" :
If [Lapino] <> null or [Lapinou] <> null or [Werwolf] <> null or [Ciocolato] then
Text.Combine({[Nip],"Snoubadiuba",[Nap],[Noup]},"_")
else Text.Combine({[Nip],"BruttoCativo",[Nap],[Noup]},"_")
I believe this is as simple as changing your If to lowercase if. M code is case-sensitive.
I'm want to conditionally format A3:A if the value entered in A3:A already appears in B3:B, which contains CSV, >1 time.
(A3:A will be CONCATENATED to B3:B, so the value will automatically appear at least once.)
Basically, if the value is not already present, there will be no formatting and I know to go ahead and add (leave it). If it is present, format the cell to alert me not to add (or delete). There may be numerous values in some cells and not so easy to glance to see if the value in question is already present.
I attempted to use REGEXMATCH, but not really sure how to switch the TRUE to a numeric value.
=IF(LEN(A3),REGEXMATCH(B3,A3),)
I've also found other formulas using COUNTIF and COUNTA that perform a similar action, but none that consider CSV.
My sheet
custom formula for CF:
=ARRAYFORMULA(REGEXMATCH(A3,TEXTJOIN("|",1,TRANSPOSE(QUERY(QUERY(TRANSPOSE(TRIM(
SPLIT(B3,","))), "select Col1,count(Col1) group by Col1"),
"select Col1 where Col2 > 1", 0)))))
I have this table in Power BI, But I can't do another table.
How I can do this?
Now the values are grouped by date (different fields have information under one date, next the same fields are grouped by another date)
I want the values in the columns to be grouped by field (one field has date information next to it).
Edit1:
I can't set Date on the 2nd place in the grouping
Because date is column, traffic,orders,rev,costs- are values
You need to set Date on the 2nd place in the grouping, after a field containing traffic, orders, etc.
EDIT:
You need to unpivot these columns first, for example, in PowerQuery. Use Edit Query. This results in transforming your 4 columns to 2: Attribute and Value. Attribute will be your first grouping parameter. 2nd will be Date. Value column goes to values.
If you need your source query somewhere else, you may create new query for this very report only. It is done by first right-clicking original one and selecting Reference Query, and the doing any edits. This will keep original query intact.
I have an sqlite database which has number sequences with random separators. For example
_id data
0 123-45/678>90
1 11*11-22-333
2 4-4-5-67891
I want to be able to query the database "intelligently" with and without the separators. For example, both these queries returning _id=0
SELECT _id FROM myTable WHERE data LIKE '%123-45%'
SELECT _id FROM myTable WHERE data LIKE '%12345%'
The 1st query works as is, but the 2nd query is the problem. Because the separators appear randomly in the database there are too many combinations to loop through in the search term.
I could create two columns, one with separators and one without, running each query against each column, but the database is huge so I want to avoid this if possible.
Is there some way to structure the 2nd query to achieve this as is ? Something like a regex on each row during the query ? Pseudo code
SELECT _id
FROM myTable
WHERE REPLACEALL(data,'(?<=\\d)[-/>*](?=\\d)','') LIKE '%12345%'
Ok this is far from being nice, but you could straightforwardly nest the REPLACE function. Example:
SELECT _id FROM myTable
WHERE REPLACE(..... REPLACE(REPLACE(data,'-',''),'_',''), .... '<all other separators>','') = '12345'
When using this in practice (--not that I would recommend it, but at least its simple), you surely might wrap it inside a function.
EDIT: for a small doc on the REPLACE function, see here, for example.
If I get it right, is this what you want?
SELECT _id
FROM myTable
WHERE Replace(Replace(Replace(data, '?', ''), '/', ''), '-', '') LIKE '%12345%'
In one spreadsheet I have 3 columns with a first and last name of a person combined. In the 2nd spreadsheet, I have column a = first name and column b = last name.
I want to know which names in spreadsheet one cannot be found in spreadsheet two. I also need to verify the data to make sure that the formula was accurate on finding the correct lookup.
Do I have to combine my columns in spreadsheet 2 to make the first and last name in the same column to make this work?
Which formula would you use for either scenario?
Use this:
=ISNA(MATCH($A1&" "&$B1,Sheet2!$A:$A,FALSE)))
Where (in order):
A1 is the first name column in Sheet1
B1 is the last name column in Sheet1
Sheet2 is the sheet that has the data stored as names separately
$A:$A is the rows that have the two names together
FALSE is because it's an exact match
This will return FALSE if the element does not exist, and TRUE if it does
You can also use:
=VLOOKUP($A1&" "&$B1,Sheet2!$A:$D,3,FALSE)
If you want to retrieve data for a match.
Finally, if you need to do your lookups the other way, take a look at this thread for some ideas on how to split the string into two pieces.