I have a column in Google Sheets where each cell contains pre-defined logic. For example, something like the second column in this table:
| 1 | =A1*-1 |
| 2 | =B2*-1 |
| -3 | =C2*-1 |
Let's say later I want to add the same logic to each cell in column B. For example, make it such that it looks like:
| 1 | =MAX(A1*-1,0) |
| 2 | =MAX(B2*-1,0) |
| -3 | =MAX(C2*-1,0) |
What is the fastest way to do this, besides manually typing MAX(...,0) in each cell? Normal Sheets functions act on the value of the cell, not the logic, so I'm a bit lost.
To my knowledge there isn't a function that pipes in the logic from one cell to another ...
try:
=ARRAYFORMULA(IF(A1:A="",,IF(SIGN(A1:A)<0, A1:A*-1, 0)))
=ARRAYFORMULA(IF(A1:A="",,IF(SIGN(A1:A)>0, A1:A, 0)))
Related
I want to match a row in one sheet with row in another. (To use conditional formatting). But this match is based on multiple column.
https://docs.google.com/spreadsheets/d/18Cr13bQZ2ZZnb1Y2Nq6aMFhHXhFTZsioJ3M4S1fzURQ/edit?usp=sharing
Sheet 1
|Country|Year|Location|
|India |2001|D1 |
|Russia |1999|D3 |
|Kenya |1001|D4 |
|India |1999|D2 |
Sheet 2
|Country |Year|Destination|
|India |2000|DA1 |
|Bulgaria |1999|DA3 |
|Wakanda |1001|DA4 |
|India |1999|DA2 |
Only India-1999 should be highlighted
try:
=ARRAYFORMULA(REGEXMATCH($A2&$B2, TEXTJOIN("|", 1,
INDIRECT("Sheet1!A2:A")&INDIRECT("Sheet1!B2:B"))))
I have a group of people who started receiving a specific type of social benefit called benefitA, I am interested in knowing what(if any) social benefits the people in the group might have received immediately before they started receiving BenefitA.
My optimal result would be a table with the number people who was receiving respectively BenefitB, BenefitC and not receiving any benefit “BenefitNon” immediately before they started receiving BenefitA.
My data is organized as a relation database with a Facttabel containing an ID for each person in my data and several dimension tables connected to the facttabel. The important ones here at DimDreamYdelse(showing type of benefit received), DimDreamTid(showing week and year). Here is an example of the raw data.
Data Example
I'm not sure how to approach this in PowerBi as I am fairly new to this program. Any advice is most welcome.
I have tried to solve the problem in SQL but as I need this as part of a running report i need to do it in PowerBi. This bit of code might however give some context to what I want to do.
USE FLISDATA_Beskaeftigelse;
SELECT dbo.FactDream.DimDreamTid , dbo.FactDream.DimDreamBenefit , dbo.DimDreamTid.Aar, dbo.DimDreamTid.UgeIAar, dbo.DimDreamBenefit.Benefit,
FROM dbo.FactDream INNER JOIN
dbo.DimDreamTid ON dbo.FactDream.DimDreamTid = dbo.DimDreamTid.DimDreamTidID INNER JOIN
dbo.DimDreamYdelse ON dbo.FactDream.DimDreamBenefit = dbo.DimDreamYdelse.DimDreamBenefitID
WHERE (dbo.DimDreamYdelse.Ydelse LIKE 'Benefit%') AND (dbo.DimDreamTid.Aar = '2019')
ORDER BY dbo.DimDreamTid.Aar, dbo.DimDreamTid.UgeIAar
I suggest to use PowerQuery to transform your table into more suitable form for your analysis. Things would be much easier if each row of the table represents the "change" of benefit plan like this.
| Person ID | Benefit From | Benefit To | Date |
|-----------|--------------|------------|------------|
| 15 | BenefitNon | BenefitA | 2019-07-01 |
| 15 | BenefitA | BenefitNon | 2019-12-01 |
| 17 | BenefitC | BenefitA | 2019-06-01 |
| 17 | BenefitA | BenefitB | 2019-08-01 |
| 17 | BenefitB | BenefitA | 2019-09-01 |
| ...
Then you can simply count the numbers by COUNTROWS(BenefitChanges) filtering/slicing with both Benefit From and Benefit To.
I'm not sure how to do this in a dataframe context
I have the table below here with text information
TEXT |
-------------------------------------------|
"Get some new #turbo #stacks today!" |
"Is it one or three? #phone" |
"Mayhaps it be three afterall..." |
"So many new issues with phone... #iphone" |
And I want to edit it down to where only the words with a '#' symbol are kept, like in the result below.
TEXT |
-----------------|
"#turbo #stacks" |
"#phone" |
"" |
"#iphone" |
In some cases, I'd also like to know if it's possible to eliminate the rows that are empty by checking for NaN as true or if you run a different kind of condition to get this result:
TEXT |
-----------------|
"#turbo #stacks" |
"#phone" |
"#iphone" |
Python 2.7 and pandas for this.
You could try using regex and extractall:
df.TEXT.str.extractall('(#\w+)').groupby(level=0)[0].apply(' '.join)
Output:
0 #turbo #stacks
1 #phone
3 #iphone
Name: 0, dtype: object
I am creating a listview with 5 columns in Gtk+ using C++. I was able to do that. But the problem is, I need subcolumns for the 2nd column which I'm not sure how to proceed.
firstcolumn | second column | third |
|SC1 | SC2 | SC3| |
| | | | |
Is this possible? Can you suggest how to go about it?
Browsing through examples all over the web, I can see that people generate the path using something like "parent_id.node_id". Examples:-
uid | name | tree_id
--------------------
1 | Ali | 1.
2 | Abu | 2.
3 | Ita | 1.3.
4 | Ira | 1.3.
5 | Yui | 1.3.4
But as explained in this question - Sorting tree with a materialized path?, using zero padding to the tree_id make it easy to sort it by the creation order.
uid | name | tree_id
--------------------
1 | Ali | 0001.
2 | Abu | 0002.
3 | Ita | 0001.0003.
4 | Ira | 0001.0003.
5 | Yui | 0001.0003.0004
Using fix length string like this also make it easy for me to calculate the level - length(tree_id)/5. What I'm worried is it would limit me to maximum 9999 users rather than 9999 per branch. Am I right here ?
9999 | Tar | 0001.9999
10000 | Tor | 0001.??
You are correct -- zero-padding each node ID would allow you to sort the entire tree quite simply. However, you have to make the padding width match the upper limit of digits of the ID field, as you have pointed out in your last example. E.g., if you're using an int unsigned field for your ID, the highest value would be 4,294,967,295. This is ten digits, meaning that the record set from your last example might look like:
uid | name | tree_id
9999 | Tar | 0000000001.0000009999
10000 | Tor | 0000000001.0000010000
As long as you know you're not going to need to change your ID field to bigint unsigned in the future, this will continue work, though it might be a bit data-hungry depending on how huge your tables get. You could shave off two bytes per node ID by storing the values in hexadecimal, which would still be sorted correctly in a string sort:
uid | name | tree_id
9999 | Tar | 00000001.0000270F
10000 | Tor | 00000001.00002710
I can imagine this would make things a real headache when trying to update the paths (pruning nodes, etc) though.
You can also create extra fields for sorting, e.g.:
uid | name | tree_id | name_sort
9999 | Tar | 00000001.0000270F | Ali.Tar
10000 | Tor | 00000001.00002710 | Ali.Tor
There are limitations, however, as laid out by this guy's answer to a similar materialized path sorting question. The name field would have to be padded to a set length (fortunately, in your example, each name seems to be three characters long), and it would take up a lot of space.
In conclusion, given the above issues, I've found that the most versatile way to do sorting like this is to simply do it in your application logic -- say, using a recursive function that builds a nested array, sorting the children of each node as it goes.