I try to promote the usage of ISO8601. How can every month of any year and halves of theses months be representated in ISO 8601?
We use a perpetual calendar in Excel where there are 2 column headers : first row is January, February, etc. and below a column subdivided into 2, something like this following example:
| Tasks | January | February | March | ...
| | | | | | | | ...
| task1 | | X | | X | | | ...
| task2 | | | X | | | | ...
How to best merge these header rows into in a meaningful row, written Jan-<first half> | Jan-<second-half> | etc. in an easily readable form. I think January-01 | January-02 is obviously not the answer. If this is not the right way to do it, please, describe how to deal with this kind of repetition.
This question is different from the one about representing date ranges I've redirected to as in the later start and end years/dates are indicated. My question is about recurring approximate date spans.
Thanks
Related
I have a table which has multiple payload values in separate rows. I want to combine those rows into a single row to have all the data together. Table looks something like this.
+------------+--------------+------+----+----+----+----+
| Date | Time | User | D1 | D2 | D3 | D4 |
+------------+--------------+------+----+----+----+----+
| 2020-04-15 | 05:39:45 UTC | A | 2 | | | |
| 2020-04-15 | 05:39:45 UTC | A | | 5 | | |
| 2020-04-15 | 05:39:45 UTC | A | | | 8 | |
| 2020-04-15 | 05:39:45 UTC | A | | | | 7 |
+------------+--------------+------+----+----+----+----+
And I want to convert it to something like this.
+------------+--------------+------+----+----+----+----+
| Date | Time | User | D1 | D2 | D3 | D4 |
+------------+--------------+------+----+----+----+----+
| 2020-04-15 | 05:39:45 UTC | A | 2 | 5 | 8 | 7 |
+------------+--------------+------+----+----+----+----+
I tried "set" and "aggregate" but they didn't work as I wanted them to and I am not sure how to go forward.
Any help would be appreciated.
Thanks.
tl;dr:
use fill() function to fill all empty values within each d1-d4 columns in the wanted group (AKA - the columns date+time+user) then dedup\aggregate to your heart's content.
long version
So the quickest way to do this is by using a window-function called "fill()".
What this function does for each given field in a column, it tells it:
"Look down. look up. find the closest non-empty value, and copy it!"
you can ofcourse limit it's sight (look only 3 rows above, for example) but for this example, don't need the limitation. so your fill function will look like this:
FILL($col, -1, -1)
So the "$col" will reference all the chosen columns. the "-1" says "unlimited sight".
finally, the "~" says "from column D1 to column D4".
So, function will look like this:
.
Which in turn will make your columns look like this:
.
Now you can use the "dedup" transformation to remove any duplications, and only 1 copy of each "group" will remain.
Alternatively, if you still want to use "group by", you can do that aswell.
Hope this helps =]
p.s
There are more ways to do this - which entails using the "pivot" transformation, and array unnesting. But in the process you'll lose your columns' names, and will need to rename them.
I need to use the Lead function on Datastage with the column timestamp, but when I need to put the next column substriting-10 minutes, if someone did it before I tried, and I had also, that can't put strings on the timestamp.
How can I solve this problem?
Input
Id | date. |
1 | 01/04/2016 13:45:25|
2 | 10/04/2016 01:25:36|
3 | 26/10/2017 22:35:13|
Output
Id| date. | Befor. |
1 | 01/04/2016 13:45:25 | 10/04/2016 01:15:36|
2 | 10/04/2016 01:25:36 | 26/10/2017 22:35:13|
3 | 26/10/2017 22:35:13 |null |
I have a large person-oriented historical dataset, which includes birth-dates recorded in YYYY, YYYY-MM, or YYYY-MM-DD format. I've been thinking I should use a date[] array for this field because the dataset frequently lists two or more birth-dates.
PG docs say that ISO 8601 dates are supported, and ISO 8601 (wikipedia link) accommodates reduced precision, but PG doesn't let me add a reduced-precision date (like 1882-11 for November 1882).
So, what's the best approach for handling records that need to contain multiple birth-dates that might look like 1883, 1882-11, or 1882-12-12?
Lets imagine you have a table person with
+----------------+---------+----------+--------------------------------+
| person_id | fname | lname | bdate[] |
+----------------+---------+----------+--------------------------------+
| 1 | 'Jhon' | 'Smith' | {1883, 1882-11, or 1882-12-12} |
+----------------+---------+----------+--------------------------------+
You dont want that because then is hard to search for one date or update the array.
Instead you want one aditional table birthdays
+-------------+------+------------+
| birthday_id | type | bdate |
+-------------+------+------------+
| 1 | 1 | 1883-01-01 |
| 1 | 2 | 1882-11-01 |
| 1 | 3 | 1882-12-12 |
+-------------+------+------------+
This way even when date is save 1883-01-01 you know will be type = 1 or 1883
I am trying to get my head around this.
I have a table that (for some reason unknown to me) the owner writes the date in a String and Numeric format (Sunday 08/11/15). I can't edit this doc, but I need to extract names that correspond with dates from it.
I'm currently trying to use filter to grab a partial match:
=filter('sheet 1'!$A$3:$A$9,search($B$2,'sheet 1'!$A$3:$A$9))
This is ran in Column F, and pulls the contents from Sheet 1 into the current sheet (lets call it sheet 2) if Column B (which uses Today()) date matches. This part seems to be working perfectly fine.
What I then need to do, is match the contents of column F against the names in Sheet 1 that correspond with that date.
Sheet 1 looks like:
| Date | Team IOH | Team OOH | Team 1 IOH | Team 2 OOH |
|------------------|----------|----------|------------|------------|
|Monday 02/11/15| Dave | CTeam | BTeam | BTeam 2 |
|Tuesday 03/11/15| Dave | CTeam | BTeam 2 | BTeam |
|Wednesday 04/11/15| CTeam | CTeam | BTeam | BTeam 2 |
So, the date pulled from Sheet 1 as Wednesday 04/11/15 needs to pull those corresponding teams.
Sheet 2 looks like:
| Team | Date | IOH | OOH | BUTeam | F (Hidden colum) |
|--------|----------|---------|---------|--------|------------------|
| Team | =TODAY() | Dave | CTeam | CTeam |Monday 02/11/15|
| Team 1 | =TODAY() | BTeam | BTeam 2 | CTeam |Monday 02/11/15|
| Team 2 | =TODAY() | BTeam 2 | BTeam | CTeam |Monday 02/11/15|
So if =TODAY() was Monday (for example) it would pull the names from Sheet 1 Team IOH, and palce that in the IOH column of sheet 1. And the same for the following.
Sorry, probably could have explained this better but my brain is frazzled.
See my previous question with some tinkering around, I managed to get the transpose working . Rather than close this, I will answer it and leave it in case anyone has a question around how to find Partial Matches (As I don't see it very often)
I have a spreadsheet with column A which holds a timestamp and updates daily. Column B holds a value. Like the following:
+--------------------+---------+
| 11/24/2012 1:14:21 | $487.20 |
| 11/25/2012 1:14:03 | $487.20 |
| 11/26/2012 1:14:14 | $487.20 |
| 11/27/2012 1:14:05 | $487.20 |
| 11/28/2012 1:13:56 | $487.20 |
| 11/29/2012 1:13:57 | $487.20 |
| 11/30/2012 1:13:53 | $487.20 |
| 12/1/2012 1:13:54 | $492.60 |
+--------------------+---------+
What I am trying to do is get the average of the last 7, 14, 30 days.
I been playing with GoogleClock() function in order to filter the dates in column A but I can't seem to find the way to subtract TODAY - 7 days. I suspect FILTER will also help, but I am a little bit lost.
There are a few ways to go about this; one way is to return an array of values with a QUERY function (this assumes a header row in row 1, and you want the last 7 dates):
=QUERY(A2:B;"select B order by A desc limit 7";0)
and you can wrap this in whatever aggregation function you like:
=AVERAGE(QUERY(A2:B;"select B order by A desc limit 7";0))