How do I write an Excel formula to compare year-to-date to prior years & also account for leap years? - excel

I’m trying to compare a measure as of today through the same day and month for the prior 4 years (e.g. through June 6 of 2016, 2015, 2014, etc.).
For each year, I decided to count the number of days since the beginning of the year, and sum my values through that number of days for each year.
To identify whether a date should be included in the year to date comparison, I used the formula where my date is in cell A1:
=IF((A1-DATE(YEAR(A1),1,1)+1)<=(TODAY()-DATE(YEAR(TODAY()),1,1)+1),1,0)
I’m looking for a way around the issue of the extra day added to leap years. In other words, after February 28th, the day count will always be off by one in a leap year, and trying to use Februrary 29th in a non-leap year will return an error.
I’d like to adjust this formula, but I’m open to using a different function & formula if it gets me the right results.

you can check any information about February, 29th. If an error occurs, you know its no leap year. Catch that error with =IFERROR(;).

Assuming a table structure like this:
A:Date | B:Value
----------------------
01/01/2016 | 0
01/01/2015 | 1
01/01/2014 | 2
01/01/2013 | 3
01/01/2012 | 4
Formula
To - for example - calculate the average of the previous four (excluding the current) years on January 1st (today is 01/01/2016):
=SUMPRODUCT(
(MONTH(A:A)=MONTH(compare))*
(DAY(A:A)=DAY(compare))*
(YEAR(A:A)>YEAR(compare)-5)*
(YEAR(A:A)<YEAR(compare))*
(B:B)
) / (
SUMPRODUCT(
(MONTH(A:A)=MONTH(compare))*
(DAY(A:A)=DAY(compare))*
(YEAR(A:A)>YEAR(compare)-5)*
(YEAR(A:A)<YEAR(compare))*
1
)
)
Result
For the above example, the result is 2.5
Explanation
To select only those rows representing the same month and day:
(MONTH(A:A)=MONTH(compare))*(DAY(A:A)=DAY(compare))
To select only those values from the previous 4 years (excluding the current):
(YEAR(A:A)>YEAR(compare)-5)*(YEAR(A:A)<YEAR(compare))*
The actual values we are interested in:
(B:B)
Divide by 4 for the average over the last four years. This assumes there is no missing data which might be an issue. You could use another SUMPRODUCT (replace B:B with 1) to count the number of resulting rows and divide by that number to handles this case. This seems to be rather slow, but it works.
Note
For performance reason you should not use A:A (a full column) in the formula, just use the actual range you need, which will likely be much faster.

Related

Excel - How to do the following?

I have a question related to EXCEL:
Since I have the following prices for different period, how can I compute in an automatic way, for example the price between 10 June - 15 July ?
EDIT--> Expected output:
50€+50€ (10-11 june) + 58€x13 (period 12 june - 25 June) + 75€x13 (period 26 june - 9 July) + 92€x5 (period 10 july-15july) = 2289€
This is the same pictures with the cells in excel, please do not consider the "Price of period", but only the daily price
You could do this with a (lengthy) calculation:
Consider:
A8 Contains the from date (10-06-2021)
B8 Contains the from date (17-07-2021)
=(MIN($B$8,D3)-MAX($A$8,C3)+1)*C5+(MIN($B$8,F3)-MAX($A$8,E3)+1)*E5+(MIN($B$8,H3)-MAX($A$8,G3)+1)*G5+(MIN($B$8,J3)-MAX($A$8,I3)+1)*I5
This will consider a period from 10-06 - 11-06 a period of 2 days. And also 12-06 - 25-06 a period of 14 days, and so on.
The result is: 2514.00
One method would be to create a lookup table and use a formula.
Given your data, your lookup table might as shown below:
I NAME'd it: priceTable
You can then use the formula:
=SUM(VLOOKUP(SEQUENCE(End-Start+1,,Start,1),priceTable,2))
If, for some reason, you cannot easily create priceTable, you can create it with a formula (depending on your version of Excel):
=INDEX($C$4:$I$6,{1,3},{1;3;5;7})
Note: All of the formulas assume your dates are real dates and not strings.
If your version of Excel does not have the SEQUENCE function, you can replace it with:
=SUM(VLOOKUP(ROW(INDEX($A:$A,Start):INDEX($A:$A,End)),priceTable,2))

How to find a trend/forecast result 14 days from today

I have looked into the Forcast & Trend formula but I cannot figure it out for the life of me.
I want to work out the trend 14 days from now.
I have a set of data:
A1 - A30 with dates
B1 - B30 with daily ticket count for the business.
I would like to make a result in another cell that would predict what the estimated total ticket count would be 14 days from now. I do not need all 14 days, just the 14th day.
If I was to try show you what the formula looks like in my head it would be:
=trend/forecast(B1:B30,14)
or
=Predict(B1:B30)*14
Unfortunately it is not as easy as that. How can I do this?
I think you want to use the Forecast function. The inputs you have do not match the correct format though.
FORECAST( x, known y's, known x's) where...
x = the series (or date) you want to forecast
known y's = historical tickets per day
known x's = historical dates (or series)
The below example allows you to forecast tickets for any date (Forecasted Date) given the historical information (table on left). If your table is not formatted with actual dates, just create a series (first day = 1, second day = 2, etc.) and forecast that way.
Given the historical data, the forecasted tickets for Aug 28th (14 days after last known value) are 16.7

Including start year and end year in YEAR calculations

For the calculation I'm trying to perform one year = one season and the data I have is start year and end year.
So 1952 1953 needs to add up to 2 (seasons) but if I use =YEAR(A1)-YEAR(A2) the result is 0 - is there a simple way to include the start year and end year as a value in these calculations?
It looks like you have found the problem and rectified it. For the benefit of others who might have found this thread, this is why it was behaving the ways it was.
Background - Excel (and many other applications) treat dates as 1 for every day past Dec 31, 1899. Today happens to be 42,079. Time is a decimal portion of a day so 42,079.75 would be Mar 16, 2015 06:00 PM.
You had the years as numbers in A1:A2; not as full dates. Using the 1-per-day formula, 1952 is May 5, 1905 and 1953 is May 6, 1905. If you peel out the year of each of those with the YEAR() function, you are subtracting 1905 from 1905; resulting in zero.
The solution would be to either type full dates into A1:A2 and format the cells as yyyy so they display 1952 & 1953 but retain their full date nature e.g. =ABS(YEAR(A1) - YEAR(A2)) + 1 , or use the years as numbers only and discard the YEAR() function altogether, e.g. =ABS(A1 - A2) + 1 to get the spanned (inclusive) number of seasons.

Excel 2010 Dax Onhand Quantity Vs. Last Date Qty

Ive spent the last 2 days trying to get this, and I really just need a few pointers. Im using Excel 2010 w/ Power Pivot and calculating inventories. I am trying to get the amount sold between 2 dates. I recorded the quantity on hand if the item was in stock.
Item # Day Date Qty
Black Thursday 11/6/2014 2
Blue Thursday 11/6/2014 3
Green Thursday 11/6/2014 3
Black Friday 11/7/2014 2
Green Friday 11/7/2014 2
Black Monday 11/10/2014 3
Blue Monday 11/10/2014 4
Green Monday 11/10/2014 3
Is there a way to do this in dax? I may have to go back and calculate the differences for each record in excel, but Id like to avoid that if possible.
Somethings that have made this hard for me.
1) I only record the inventory Mon-Fri. I am not sure this will always be the case so i'd like to avoid a dependency on this being only weekdays.
2) When there is none in stock, I dont have a record for that day
Ive tried, CALCULATE with dateadd and it gave me results nearly right, but it ended up filtering out some of the results. Really was odd, but almost right.
Any Help is appreciated.
Bryan, this may not totally answer your question as there are a couple of things that aren't totally clear to me but it should give you a start and I'm happy to expand my answer if you provide further info.
One 'pattern' you can use involves the TOPN function which when used with the parameter n=1 can return the earliest or latest value from a table that it sorts by dates and can be filtered to be earlier/later than dates specified.
For this example I am using a 'disconnected' date table from which the user would select the two dates required in a slicer or report filter:
=
CALCULATE (
SUM ( inventory[Qty] ),
TOPN (
1,
FILTER ( inventory, inventory[Date] <= MAX ( dates[Date] ) ),
inventory[Date],
0
)
)
In this case the TOPN returns a single row table of the latest date earlier than or equal to the latest date provided. The 1st argument in the TOPN specifies the number of rows, the second the table to use, the 3rd the column to sort on and the 4th says to sort descending.
From here it is straightforward to adapt this for a second measure that finds the value for the latest date before or equal to the earliest date selected (i.e. swap MIN for MAX in MAX(dates[Date])).
Hope this helps.
Jacob
*prettified using daxformatter.com

Calculating the average difference in days within a period

I am trying to calculate the average difference between two columns in excel. The columns contain a planned and an actual date, I would like to get the average difference but only for planned dates within the last three months.
Example:
Planned Start Date | Actual Start Date
21/09/2013 | 25/09/2013
10/07/2014 | 16/07/2014
01/06/2014 | 30/06/2014
The formula should only take line 2 & 3 (line 1 is older than 3 months), look at the difference in days for each applicable line (line 2: 6 days, line 3: 29 days) and then show the average ( 17.5 days) of all applicable lines.
Does anybody have a formula for this? Excel really isn't my strong suit...
Assume your data is in A2:B4 then try this array formula
=AVERAGE(IF(TODAY()-A2:A4<=90,B2:B4-A2:A4))
It assumes each month is 30 days (hence the 90)
Press CTRL + SHIFT + ENTER to enter the formula as an array formula
Based on your example I get a result of 17.5 days.

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