I have a grid which lists the Period (Start - End), and a list of Downtimes.
The downtimes are then sorted (to ensure chronological order based on the start time of the outage), using the following formula:
=SORT(INDIRECT("B4:C"&SUMPRODUCT(MAX((B4:B12<>"")*ROW(B4:B12)))),1)
After which I am trying to calculate the list of Available times (Uptimes).
Currently i have a mess of inflexible formulas as follows:
B26 =IF(B14<B15,B14,C15)
C26 =IF(C14<C15,C14,B16)
B27 =C16
C27 =B17
I am searching for either a universal single celled arrayformula, or a formula that can be dragged (down/across), that can calculate the list of Available times (Uptimes).
I am seeking formula solutions that will work in both Excel (Mac 2021) and Google Sheets.
See attached image:
EDIT:
Here is a google sheet that has some example data, and explanatory notes: https://docs.google.com/spreadsheets/d/1t0XImtjP4RKeTdg3L97bjPzateUX2waHPhjf3nmSFIk/edit#gid=2100307022
in GS try:
=FILTER(B3:C24; A3:A24="Period")
update
B15:
=SORT(B4:C12)
B25:
=QUERY({C15:C23, B16:B24}, "where Col1 is not null and Col2 is not null")
Here is the solution i created (working in both Excel + Google Sheets) for cutting downtimes from a time period, to leave only the remaining uptimes.
Using the same cells and ranges as per the Question....
The original downtimes does not need to be in order, they are sorted in the intermediate table.
in cell B15:
=IFERROR(SORT(FILTER(B4:C12,(B4:B12<=C3)*(C4:C12>=B3))),"")
Then, create named ranges for the elements to be used in the formulas that will populate the remaining uptimes (this makes the formulas easier to edit as will be noted below):
start is the start time of the original time period (B14)
end is the end time of the original time period (C14)
downstart is the range of the start datetimes of the downtimes (B15:B23)
downend is the range of the end datetimes of the downtimes (C15:C23)
Then, to create/populate the list of the remaining uptimes, for the opening times, enter this formula into the first cell (B25) :
=IFERROR(IF((start>=MIN(downstart))*(end<=MAX(downend)),IF(ROW()=(25+SUMPRODUCT(--(LEN(downstart)>0))-1),"",SMALL(downend,1+ROW()-25)),
IF((start>=MIN(downstart)),SMALL(downend,1+ROW()-25),
IF((end<=MAX(downend)),IF(ROW()=25,start,IF(ROW()=(25+SUMPRODUCT(--(LEN(downstart)>0))),"",SMALL(downend,ROW()-25))),
IF(ROW()=25,start,SMALL(downend,ROW()-25))
))),"")
And for the ending times, enter this formula into the first cell (C25):
=IFERROR(IF((start>=MIN(downstart))*(end<=MAX(downend)),IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))-1),"",SMALL(downstart,2+ROW()-25)),
IF((start>=MIN(downstart)),IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))-1),end,SMALL(downstart,2+ROW()-25)),
IF((end<=MAX(downend)),IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))-1),end,SMALL(downstart,1+ROW()-25)),
IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))),end,SMALL(downstart,1+ROW()-25))
))),"")
Note: In both of these formulas, the number 25 is the row number of the first row where the results are to be populated, so if you have these results starting on a different row, just change the number 25 to your starting row. Due to use of named ranges, no other changes are necessary.
After entering the formulas, drag them both down to fill the remaining results.
For those with Excel 2019 or newer (or Google Sheets), you can use IFS instead. For the opening times, use this (in B25 ):
=IFERROR(IFS(
(start>=MIN(downstart))*(end<=MAX(downend)),(IF(ROW()=(25+SUMPRODUCT(--(LEN(downstart)>0))-1),"",SMALL(downend,1+ROW()-25))),
(start>=MIN(downstart)),SMALL(downend,1+ROW()-25),
(end<=MAX(downend)),(IF(ROW()=25,start,IF(ROW()=(25+SUMPRODUCT(--(LEN(downstart)>0))),"",SMALL(downend,ROW()-25)))),
(start<MIN(downstart))*(end>MAX(downend)),(IF(ROW()=25,start,SMALL(downend,ROW()-25)))
),"")
And, for the ending times use this (in C25):
=IFERROR(IFS(
(start>=MIN(downstart))*(end<=MAX(downend)),(IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))-1),"",SMALL(downstart,2+ROW()-25))),
(start>=MIN(downstart)),(IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))-1),end,SMALL(downstart,2+ROW()-25))),
(end<=MAX(downend)),(IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))-1),end,SMALL(downstart,1+ROW()-25))),
(start<MIN(downstart))*(end>MAX(downend)),(IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))),end,SMALL(downstart,1+ROW()-25)))
),"")
Again, drag them down to populate the remaining results.
Explanation:
(IF(ROW()=(25+SUMPRODUCT(--(LEN(downend)>0))-1),xxxxxx styled sections of the formulas check if on certain row, so that can return specific results
SMALL(named_range,ROW()-(25)) styled sections of the formulas uses the ROW with an offset (25, based on this examples starting row for the results) to increment the SMALL
Both the nested IF and the IFS styled solutions are in the example file linked in the opening Question.
I have a recordset where rows have a date field.Rows are from current year and last year. I want to see the count of rows per year. That's easy. Now I'd like to have a third column with difference (count(currentYear) - count(lastYear)). Is there any way to achieve this?
thanks
It seems like you want to have the difference calculated between two members of the same date field.
If so, you might want to consider the customizeCell() API call to retrieve the count values of each year, use them to calculate the difference, and modify the necessary cells with the result.
Alternatively, you could try modifying your data set so that the lastYear and currentYear are two different fields – this, for example, would allow you to compare them within a calculated value.
I have 2 columns - Matches(Integer), Accounts_type(String). And i want to create a third column where i want to get proportions of matches played by different account types. I am new to Talend & am facing issue with this for past 2 days & did a lot of research but to no avail. Please help..
You can do it like this:
You need to read your source data twice (I used tFixedFlowInput_1 and tFixedFlowInput_2 with the same data). The idea is to calculate the total of your matches in tAggregateRow_1, it simply does a sum of all Matches without a group by column, then use that as a lookup.
The tMap then joins your source data with the calculated total. Since the total will always be one record, you don't need any join column. You then simply divide Matches by Total as required.
This is supposing you have unique values in Account_type; if you don't, you need to add another tAggregateRow between your source and tMap_1, in order to get sum of Matches for each Account_type (group by Account_type).
Context:
I have a data set for the weights of truck and trailer combinations coming into my site over the span of a few years. I have organized my data by seasons as I am trying to prove that the truck:trailers in winter are noticeably heavier due to ice, snow, and mud. The theory is, if the tare weight is higher in this season (the weight of the truck after it empties its load) than its Avg tare weight (which I need to calculate from the data) it can be deduced that the truck:trailer combinations are coming in with extra weight that we pay for in part as some snow/ice/mud falls off in the trailer emptying process.
What I've done so far:
I've defined a custom date range for my seasons
I've grouped Truck:Trailer by: count to get a duplicates column and, all rows to keep all my details
I've filtered out every combination I've seen less than 50 times, as i want good representation for each truck:trailer combo so that I can better emphasize repeated patterns
I've added an index column to better keep track of the individuals before expanding the details
What I need to do:
I only want to work with truck:trailer combinations which have weighed in for all four seasons at least once
I need to find the average tare weight of the truck:trailer combinations based over the extended range for both summer and autumn (the dry time of the year) while preserving the raw tare data for all seasons, as I need to eventually compare the winter tare values to this average.
example of my data
When I'm finished I'd like the data to look something like this
Pivot Chart
query data
For your first question (all seasons) you can add a column that holds the distinct count of the values in [Season] for each [Driver:Trailer]. Then filter your table on that column, keeping only the 4's. To achieve this, add the following m-code to your script in the Advanced Editor. Change the part after in to #"DistinctCount Season"
#"DistinctCount Season" = Table.Join(#"insert name previous step","Driver:Trailer",
Table.Group(#"insert name previous step", {"Driver:Trailer"},
{{"DistinctCountSeasons", each Table.RowCount(Table.Distinct(_,"Season")),
type number}}),"Driver:Trailer")
Insert the name of your previous step where indicated.
For second question:
You can use a matrix-visual for that in you report. First create a measure:
[AverageTare] = AVERAGE(table'[Tare])
Then put [Season] on Rows and the [AverageTare] on Values. You can create a group (right-click on [Season] in the FIELDS-pain) called [DrySeason], to combine the values for Spring and Summer.
If that doesn't work for you, explore the AVERAGEX function.
EDIT
In excel you can use a pivottable. Put [Season] on Rows and the [AverageTare] on Values. Right-click a value in the pivottable. Select Value Field Setting and choose Average. Then select the Seasons you want to group, right-click and select Group.
EDIT 2
To add a column in the Power Query Editor that holds the average [Tare] for the [Season] in each row, add the following steps to your script in the Avanced Editor:
#"GroupedSeasonAvg" = Table.Group(#"Insert name previous step", {"Season"}, {{"AVG", each List.Average([Tare]), type number}}),
#"JoinOnSeason" = Table.NestedJoin(#"Insert name previous step",{"Season"},GroupedSeasonAvg,{"Season"},"AVGGrouped"),
#"ExtractSeasonAVG" = Table.ExpandTableColumn(JoinOnSeason, "AVGGrouped", {"AVG"}, {"SeasonAVG"})
It works something like this:
"GroupedSeasonAvg" : Creates a table with the avereges for each [Season]
"JoinOnSeason": Creates a new column with tables joining the [Season] value for each row to [Season] in the grouped table.
#"ExtractSeasonAVG": Expand each table and keep only [AVG].
Given a list of items which have a date as one field, how can I separate one set which have a date in the first few days of the month from those which have a date in the last few days?
The items are gas bills, generally one per month, in a bank statement which relate to each of two separate buildings and need to go into two separate accounts. They were imported from a CSV file.
In practice, the number of lines involved is small, so I've just done it by hand, but the question of how to do it by formula and sort occurred to me, and I neither have nor found an answer.
I hope it is a slightly interesting question.
The function is simply called DAY. You can find it by clicking on the Function Wizard toolbar icon and looking under the Date&Time category.
For example, in cell B1 enter a formula like =DAY(A1) and fill down. Then go to Data -> Sort.