Excel time difference between dates jumping with day change - excel

I am trying to calculate the time elapsed in a list of dates spanning 3 days.
When the date changes from 10/1/2021 to 10/2/2021 my time difference jumps up +30 days!!!
Here is the screenshot:
Does anyone know how to solve this?
I would like for line 454 to read 0:7:22:02.841.
Ultimately what I am trying to do is to use the the elapsed time as my X axis.
Here is the link for the sample files:
SampleData.xlsx
CSV_SampleData.csv
Thank you very much.
[EDIT]: Changed link to Google Drive.
[EDIT2]: Had to move on to something else and never did find a solution for this. Thank you all for the comments.

Related

How to get the time intervals and total time from a machine recorded minute to minute timestamps data sheet

This is Nikhil.
Here is where I got struck for days, Please help anyone.
I'm having a data of time stamps for every minute in the month.
And there is a corresponding data as well.
Based on the data, i need the time intervals and total operational time and total non operational time in excel.
in this excel file, input table is what im having and output data table is what im desired for....
Thanks you
Nikhil
Edit:
Thank you so much for the first answer,,,
But actually i asked half of the question only to made it understandable.
Now the real problem is - I want the time intervals which are in between the actual shift timings (That are 7:00, 15:00, 23:00).
So that I can calculate the individual shift working and non working hrs.
Please go though the second image's output format.
Second image with updated output shift timings
Thanks for your valuable time.
Done with formulas:
Identifies locations where "Operational/Non Operational" sections begin, then sorts them into final report with array formulas.
See link: (to note, array formulas do not work correctly in Google Sheets, must be viewed in excel. )
https://docs.google.com/spreadsheets/d/1TnYBaVqoH9GbqSOrJhamOVOeJFy5gmQ0/edit?usp=sharing&ouid=113383321265118626810&rtpof=true&sd=true
Array Formula Images:

Counting the historical view of open files

Good morning,
I'm trying to get an historical count on files going back two years, regardless of their status now. The files have 4 dates that will factor into this (Created, Closed, Reopened and Reclosed) my thought was to find the Monday of the week in relation to dates above, this would give me the last time it could have been Open / Re-Opened. Formula Below -
=IF(A2="open",B2-WEEKDAY(B2,3),IF(A2="reopened",D2-WEEKDAY(D2,3),IF(A2="Closed",C2-WEEKDAY(C2,3),IF(A2="Re-closed",E2-WEEKDAY(E2,3)))))
I figured from this I could find out what the active work in progress was at the start of any given Monday - however I'm struggling to figure out how to calculate this - or if is even possible? my first though was that =Countif( would work but not having any luck.
Does anybody know how or experienced a similar challenge before?
Edit for comment (Example) -
This is a small example with the desired output to the right.

Absences report in Excel

I've got a problem with finding a solution to my report. Purpose is to know how many times and how long employees spend time on breaks. This report is really imperfect to draw a data.
Purpose of my report:
- we need to know how long brakes they had.
The problem is that in this report I have some days and end date is below the start date - not beside. I copied by formula to have them beside to easily count the time but sometimes can happened that they have irregular leaves - eg. number 14 - he has only 5 records and I can't do it automatically because I need to know which record is missing. In my file is 10.000 records...
Any prompts? Suggestions?
Thank you in advance for any tips!

Python/Pandas Change time stamp to include milliseconds

I have a csv file that shows the time stamp like this:
I need to manipulate this csv in python so I'll end up with a 'Time Elapsed' column with millisecond resolution.
Keep in mind this time stamp goes longer than an hour so in Excel the time elapsed column just goes back to zero. I don't want that to happen.
I'm sure I'm not the first person with this issue but before you start flaming me, I have been looking for a few days and I can't find a solution.
That tells me I must be asking the wrong questions. I am new to Pandas/Python and I'm still not familiar with the lingo.
Here is the csv file I am using.
SampleCSV.csv
Before
After
Thanks in advance.

Repair incorrectly formatted time 'hh:nn:ss' when h=0

I'm doing a report which calculates people's time to determine their pay. We pull reports from our servers and paste them into Excel to do the calculations. I have run into an issue when pulling the data: if the time they logged in for was less than an hour our formula is not working:
=IF(E159="","",((HOUR(E159)+(MINUTE(E159)+(SECOND(E159)/60))/60)))
This gives an error (#value) if the time is :34:15, but if it's 00:34:15 then it's fine.
Formatting the cell does not appear to work.
I'd like to go through this column and add the 00 to all values missing it, and I need some help or guidance from there.
Another question on SO looks like it may help, but I'm unsure on how to use it.
Assuming that The tiem is in cell E159 from your above formula, you can append a 0 to the start of the time. This will fix all the times that have the hour missing and won't affect the other lines.
="0"&E159
You can then replace all of the E159 references in your original formula with this edit so that it looks like this:
=IF(E159="","",((HOUR("0"&E159)+(MINUTE("0"&E159)+(SECOND("0"&E159)/60))/60)))
While it's hard to read, it does the trick.
While that answers you question.. I think that there is a better way to achieve this formula.
It looks like the end result you're looking for is the time converted to hours, with mulutes and seconds as a decimel to the next hour. You can achieve this by doing:
=E159*24
Which will give you the same result as your original formula.
And then to combine that with my first answer to get a formula that looks like:
=("0" & E159)*24
This approach is much easier to read / edit and provides the same output.
Why This Works
Excel stores all dates as whole numbers, and all times as a decimel % to a day.
So when Excel is stores 12 hours it saves it as .5 because it is half of a day.
By dividing the time output by 24 we are converting the entire time value down from a % of day to a % of hours.

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