I have a series of values in Tableau that are long strings intermixed with letters and numbers. I am unable to control the data output, but would like to parse the names from these strings. They follow the following format:
Potato 1TByte 4.5 NFA
Board 256GByte 553 NCA
Launch 4 512GByte 4.5 NFA
Launch 4S 512GByte 4.5 NCA
From each of these, I am attempting to capture the following:
"Potato"
"Board"
"Launch 4"
"Launch 4S"
Each string follows the same format: the name, followed by size, followed by some extra information we don't really care about.
I've tried to put together some text parsing strings, but am coming up short, and am still trying to learn regular expressions.
The Tableau calculated field I was trying to work with was something like the following:
LEFT([String], FIND([String], "Byte") - 2)
The issue is that the text and numbers preceding Byte can be anywhere from 4 to 2 characters and I need a way to identify the length of that.
Any help would be greatly appreciated!
One option which uses a regex replacement:
REGEXP_REPLACE('Launch 4 512GByte 4.5 NFA', ' \d+[A-Z]Byte .*$', '')
This strips off everything from the Byte term to the right, leaving us with only the product name.
You could try the following - this seems to work - Screenshot of Tableau output. Find below the formulas for the various derived columns you see in the screenshot (Your source column is called [Name])
Step1 = LEFT([Name],FIND([Name],"Byte")-1)
Step2 = LEN([Step1])-LEN(REPLACE([Step1]," ",""))
Step3 = FINDNTH([Step1]," ",[Step2])
Step4 = LEFT([Step1],[Step3]-1)
And of course you can nest all these in a single calculated field - kept them as separate columns for easier understanding
Related
I have a column in my table which looks like below.
ResourceIdentifier
------------------
arn:aws:ec2:us-east-1:7XXXXXX1:instance/i-09TYTYTY79716
arn:aws:glue:us-east-1:5XXXXXX85:devEndpoint/etl-endpoint
i-075656565f7fea3
i-02c3434343f22
qa-271111145-us-east-1-raw
prod-95756565631-us-east-1-raw
prod-957454551631-us-east-1-isin-repository
i-02XXXXXXf0
I want a new column called 'Trimmed Resource Identifier' which looks at ResourceIdentifier and if the value starts with "arn", then returns value after last "/", else returns the whole string.
For eg.
arn:aws:ec2:us-east-1:7XXXXXX1:instance/i-09TYTYTY79716 ---> i-09TYTYTY797168
i-02XXXXXXf0 --> i-02XXXXXXf0
How do I do this ? I tried creating a new column called "first 3 letters" by extracting first 3 letters of the ResourceIdentifier column but I am getting stuck at the step of adding conditional column. Please see the image below.
Is there a way I can do all of this in one step using DAX instead of creating a new intermediate column ?
Many Thanks
The GUI is too simple to do exactly what you want but go ahead and use it to create the next step, which we can then modify to work properly.
Filling out the GUI like this
will produce a line of code that looks like this (turn on the Formula Bar under the View tab in the query editor if you don't see this formula).
= Table.AddColumn(#"Name of Previous Step Here", "Custom",
each if Text.StartsWith([ResourceIdentifier], "arn") then "output" else [ResourceIdentifier])
The first three letters bit is already handled with the operator I chose, so all that remains is to change the "output" placeholder to what we actually want. There's a handy Text.AfterDelimiter function we can use for this.
Text.AfterDelimiter([ResourceIdentifier], "/", {0, RelativePosition.FromEnd})
This tells it to take the text after the first / (starting from the end). Replace "output" with this expression and you should be good to go.
I have a column look like as below.
DK060
DK705
DK715
dk681
dk724
Dk716
Dk 685 (there is a space after Dk).
This is obviously due to human error. Is there any way that I can ensure the format is correct based on the specified format which is two uppercase DK followed by three digits?
Or Am I being too ambitious!!??
Go to the power query editor. Select advance editor and paste this 2 steps
#"Uppercase" = Table.TransformColumns(#"Source",{{"Column", Text.Upper, type text}}),
#"Replace Value" = Table.ReplaceValue(#"Uppercase"," ","",Replacer.ReplaceText,{"Column"})
Note: be sure to replace the "Source" statement into the Uppercase sentence for your previuos step name if needed.
So you will have something like this:
This is the expected result:
I am using HiveQL to work with millions of rows of domain name text data stored in HDFS. The following is a hand-selected subset to illustrate lexical diversity. There are duplicate entries.
dnsvm.mgmtsubnet.mgmtvcn.oraclevcn.com.
mgmtsubnet.mgmtvcn.oraclevcn.com.
asdf.mgmtvcn.oraclevcn.com.
dnsvm.mgmtsubnet.mgmtvcn.oraclevcn.com.
localhost.
a.localhost.
img.pulsemgr.com.
36.136.154.156.in-addr.arpa.
accounts.spotify.com.
_dmarc.ixia-devops.com.
&eventtype=close&reason=4&duration=35.
&eventtype=close&reason=3&duration=10336.
I am trying to get a count of # of rows based on the last two levels of the domain, where sometimes the 2nd level is absent (i.e. localhost.). For example:
domain_root count
oraclevcn.com. 4
localhost. 1
a.localhost. 1
pulsemgr.com. 1
in-addr.arpa. 1
spotify.com. 1
ixia-devops.com 1
It would be nice to also see how to filter out domains 2nd level is absent.
I am not sure where to start. I have seen use of the SPLIT() function, but that may not be robust since there could be many levels to a domain name, for example: a.b.c.d.e.f.g.h.i etc.
Any ideas are implementations are appreciated.
Below would be the query with regexp_extract.
select domain_root, count(*) from (select regexp_extract('dnsvm.mgmtsubnet.mgmtvcn.oraclevcn.com.', '[A-Za-z0-9-]+\.[A-Za-z0-9-]+\.$', 0) as domain_root from table) A group by A.domain_root -- replace first argument with column name
regex will extract for domain root with Alphanumeric and special character '-'
hope this helps.
I am struggling on creating a formula with Power Bi that would split a single rows value into a list of values that i want.
So I have a column that is called ID and it has values such as:
"ID001122, ID223344" or "IRRELEVANT TEXT ID112233, MORE IRRELEVANT;ID223344 TEXT"
What is important is to save the ID and 6 numbers after it. The first example would turn into a list like this: {"ID001122","ID223344"}. The second example would look exactly the same but it would just parse all the irrelevant text from between.
I was looking for some type of an loop formula where you could use the text find function to find ID starting point and use middle function to extract 8 characters from the start but I had no progress in finding such. I tried making lists from comma separator but I noticed that not all rows had commas to separate IDs.
The end results would be that the original value is on one column next to the list of parsed values which then could be expanded to new rows.
ID Parsed ID
"Random ID123456, Text;ID23456" List {"ID123456","ID23456"}
Any of you have former experience?
Hey I found the answer by myself using a good article similar to my problem.
Here is my solution without any further text parsing which i can do later on.
each let
PosList = Text.PositionOf([ID],"ID",Occurrence.All),
List = List.Transform(PosList, (x) => Text.Middle([ID],x,8))
in List
For example this would result "(ID343137,ID352973) ID358388" into {ID343137,ID352973,ID358388}
Ended up being easier than I thought. Suppose the solution relied again on the lists!
I have code that currently looks like this:
replace fname = "JACK" if id==103
replace lname = "MARTIN" if id==103
replace fname = "MICHAEL" if id==104
replace lname = "JOHNSON" if id==104
And it goes on for multiple pages like this, replacing an ID name with a first and last name string. I was wondering if there is a more efficient way to do this en masse, perhaps by using the recode command?
I will echo the other answers that suggest a merge is the best way to do this.
But if you absolutely must code the lines item-wise (again, messy) you can generate a long list ("pages") of replace commands by using MS Excel to "help" you write the code. Here is a picture of your Excel sheet with one example, showing the MS Excel formula:
columns:
A B C D
row: 1 last first id code
2 MARTIN JACK 103 ="replace fname=^"&B2&"^ if id=="&C2
You type that in, make sure it looks like Stata code when the formula calculates (aside from the carets), and copy the formula in column D down to the end of your list. Then copy the whole block of Stata code in column D generated by the formulas into your do-file, and do a find and replace (be careful here if you are using the caret elsewhere for mathematical uses!!) for all ^ to be replaced with ", which will end up generating proper Stata syntax.
(This is truly a brute force way of doing this, and is less dynamic in the case that there are subsequent changes to your generation list. All--apologies in advance for answering a question here advocating use of Excel :) )
You don't explain where the strings you want to add come from, but what is generally the best technique is explained at
http://www.stata.com/support/faqs/data-management/group-characteristics-for-subsets/index.html
Create an associative array of ids vs Fname,Lname
103 => JACK,MARTIN
104 => MICHAEL,JOHNSON
...
Replace
id => hash{id} ( fname & lname )
The efficiency of doing this will be taken care by the programming language used