The History:
I have a data set that refreshes every Monday morning adding last week's values to a growing tally until there is 52 weeks in the data set (9 separate cohorts), across 38 different departments.
I have built a power query to filter the department and compiled tables for each cohort, limiting the data to the last 17 weeks, and using excel forecast modelling then setup each table to forecast 16 weeks ahead.
Because the week beginning (WB) dates keep changing IO cant hard code the result table to cells within each cohort table.
My result table needs to show current month, month +1, month +2, and month +3 forecast values as per the highest date closest to or equal to EOM and I need this to be automated, hence a formula.
PS added complexity is that the table has date/value adjacent in (last 17 weeks) and columns separated in future 16 weeks of data in each table. Structure is exactly the same across all the 9 cohort forecast tables.
My Question:
Am I best to use a nested EOM formula, or VLOOKUP(MAX) based on the cohort_forecast_table image link below?
Because the current month needs to be current I have created a cell using =NOW().
I then complete a VLOOKUP within each cell in the master table that references the references the data in each sub-table usin MAX and EOMONTH for current month, then month+1, month+2, month+3, etc.
In a simplified broken down solution:
Date array = 'D3:D35'
Volume array = 'E3:E35'
End of current month formula cell B3: =MAX(($D$3:$D$35<EOMONTH(D1,0))*D3:D35)
Call for result in cell C3:
'=VLOOKUP(B3,Dates:Volumes,2,FALSE)'
I think this will work for me and thank you all...
Related
I am trying to calculate the avarage of durations from the last 40 days for diffrent IDs.
Example: I have 40 days and for each day IDs from 1-20 and each ID has a start date and end date in HH:MI:SS.
My code is a cursor which fetches the last 40 days, then I made a second for loop. In this one I select all the ids from this day. Then I go through every ID for this day and select start and end dat calculating the duration. So far so good. But how do I calculate the avarage of the duration for the IDs in the last 40 days.
The idea is simple. To take the durations for one id (in the last 40 days) add them together and divide them by 40. And then do the same for all IDs. My plan was to make a 2d Array and in the first array putting all IDs, then in the second array to put the duration and add the values for one id together. Then I would have added all the durations for one ID together and get the value from the array. But I am kinda stuck in that idea.
I also wonder if there is a better solution.
Thanks for any help!
From my point of view, you don't need loops nor PL/SQL - just calculate the average:
select id,
avg(end_date - start_date)
from your_table
where start_date >= trunc(sysdate) - 40
group by id
Drawback might be what you said - that you stored dates as hh:mi:ss. What does it mean? That you stored them as strings? If so, most probably bad idea; dates (as Oracle doesn't have a separate datatype for time) should be stored into DATE datatype columns.
If you really have to work with strings, then convert them to dates:
avg(to_date(end_date, 'hh:mi:ss') - to_date(start_date, 'hh:mi:ss'))
Also, you'll then have to have another DATE datatyp column which is capable of saying what "last 40 days" actually means.
Result (the average) will be number of days between these values. Then you can format it prettier, if you want.
I am having trouble with a line graph visual, where the data is organized by week number and by year number. However when I put the information into the visual and try viewing both 2020 & 2021, it rearranges the data in the order of 2021 & 2020. How do i get it to properly see the data in the correct order of week number by year?
I tried sorting the week # by an index value, also by year, also by week... with no luck
From the images it looks like there is no sort on the year and week, just by the week.
You need to add a column that has a year week key, that you can sort by.
For example 202101 for the week one of 2021.
Assuming you have a date like dd/mm/yyyy format, for example 11/04/2021 in DAX you can use:
YearWeek = YEAR('Table'[Date]) & WEEKNUM('Table'[Date])
This should now sort the data correctly. If you want you can add another column, that is more user friendly like WK01-2021, if you wish, you can then sort by that column, or use the new key column to sort the textual one.
If you just have a year and week column, create a new column that concatenates the two.
For this you should have a Calendar table, that contains a the date groupings that you you need. For example using CALENDARAUTO or you can do it in Power Query here or here.
This actually does not give the correct sequence, when you are dealing with single digit week numbers. For example when dealing with the first ten weeks of 2020, the sequence would be 20201, 202010,20202, 20203... which is obviously wrong.
Here you need a double digit Week number, so a small change in the suggested formula should do it:
YearWeek = YEAR('Table'[Date]) & FORMAT(WEEKNUM('Table'[Date]),"00")
The sequence should now work.
all:
I am trying to design a shared worksheet that measures salespeople performance over a period of time. In addition to calculating # of units, sales price, and profit, I am trying to calculate how many new account were sold in the month (ideally, I'd like to be able to change the timeframe so I can calculate larger time periods like quarter, year etc').
In essence, I want to find out if a customer was sold to in the 12 months before the present month, and if not, that I will see the customer number and the salesperson who sold them.
So far, I was able to calculate that by adding three columns that each calculate a part of the process (see screenshot below):
Column H (SoldLastYear) - Shows customers that were sold in the year before this current month: =IF(AND(B2>=(TODAY()-365),B2<(TODAY()-DAY(TODAY())+1)),D2,"")
Column I (SoldNow) - Shows the customers that were sold this month, and if they are NOT found in column H, show "New Cust": =IFNA(IF(B2>TODAY()-DAY(TODAY()),VLOOKUP(D2,H:H,1,FALSE),""),"New Cust")
Column J (NewCust) - If Column I shows "New Cust", show me the customer number: =IF(I2="New Cust",D2,"")
Column K (SalesName) - if Column I shows "New Cust", show me the salesperson name: =IF(I2="New Cust",C2,"")
Does anyone have an idea how I can make this more efficient? Could an array formula work here or will it be stuck in a loop since its referring to other lines in the same column?
Any help would be appreciated!!
EDIT: Here is what Im trying to achieve:
Instead of:
having Column H showing me what was sold in the 12 months before the 1st day of the current month (for today's date: 8/1/19-7/31/20);
Having Column I showing me what was sold in August 2020; and
Column I searching column H to see if that customer was sold in the timeframe specified in Column H
I want to have one column that does all three: One column that flags all sales made for the last 12 months from the beginning of the current month (so, 8/1/19 to 8/27/20), then compares sales made in current month (august) with the sales made before it, and lets me know the first time a customer shows up in current month IF it doesn't appear in the 12 months prior --> finds the new customers after a dormant period of 12 months.
Im really just trying to find a way to make the formula better and less-resource consuming. With a large dataset, the three columns (copied a few times for different timeframes) really slow down Excel...
Here is an example of the end result:
Example of final product
I have an ssrs report that shows revenues for each month of a year for several years based on start and end date parameters the user enters. What I would like to do is add a second column that shows the revenue for that quarter (march would show q1 revenue, june q2 etc). the problem I am having is that I am able to do this for a single year but once the query starts looking at multiple years my column shows the value for all 1st quarters regardless of year. The picture shows what I am currently getting. Any recommendations on how to fix my expression to also look at the year value when summing these quarters?
Here is the code I am using to only populate the quarter column based on the month.
=IIF(Fields!Sort_Order.Value=3,
Sum(Lookup(1,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(2,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(3,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),
IIF(Fields!Sort_Order.Value=6,
Sum(Lookup(4,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(5,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(6,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),
IIF(Fields!Sort_Order.Value=9,
Sum(Lookup(7,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(8,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(9,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),
IIF(Fields!Sort_Order.Value=12,
Sum(Lookup(10,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(11,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings"))
+Sum(Lookup(12,Fields!Sort_Order.Value,Fields!Calculated_Revenue.Value,"Bookings")),""))))
I ended up creating a quarter column within my data set that was then used as a parent group for the month rows. I then hid that column and added a total for the quarter that gave me sub totals. Not exactly what I was looking for but gave me the result I needed.
This should be simple so I think I am missing it. I have a simple line chart that shows Users per day over 28 days (X axis is date, Y axis is number of users). I am using hard-coded 28 days here just to get it to work.
I want to add a scorecard for average daily users over the 28 day time frame. I tried to use a calculated field AVG(Users) but this shows an error for re-aggregating an aggregated value. Then I tried Users/28, but the result oddly is the value of Users for today. The division seems to be completely ignored.
What is the best way to show average number of daily users over a time frame? Average daily users over 10 days, 20 day, etc.
Try to create a new metric that counts the dates eg
Count of Date = COUNT(Date) or
Count of Date = COUNT_DISTINCT(Date) in case you have duplicated dates
Then create another metric for average users
Users AVG = (Users / Count of Date)
The average depends on the timeframe you have selected. If you are selecting the last 28 days the average is for those 28 days (dates), if you filter 20 days the average is for those 20 days etc.
Hope that helps.
I have been able to do this in an extremely crude and ugly manner using Google Sheets as a means to do the calculation and serve as a data source for Data studio.
This may be useful for other people trying to do the same thing. This assumes you know how to work with GA data in Sheets and are starting with a Report Configuration. There must be a better way.
Example for Average Number of Daily Users over the last 7 days:
Edit the Report Configuration fields:
Report Name: create one report per day, in this case 7 reports. Name them (for example) Users-1 through Users-7. These are your Row 2 values. You'll have 7 columns, with the first report name in column B.
Start Date and End Date: use TODAY()-X where X is the number of days previous to define the start and end dates for each report. Each report will contain the user count for one day. Report Users-1 will use TODAY()-1 for start and end, etc.
Metrics: enter the metrics e.g. ga:users and ga:new users
Create the reports
Use 'Run reports' to have the result sheets created and populated.
Create a sheet for an interim data set you will use as the basis for the average calculation. The first column is date, the remaining columns are for the metrics, in this case Users and New Users.
Populate the interim data set with the dates and values. You will reference the Report Configuration to get the dates, and you will pull the metrics from each of the individual reports. At this stage you have a sheet with date in first columns and values in subsequent columns with a row for each day's values. Be sure to use a header.
Finally, create a sheet that averages the values in the interim data set. This sheet will have a column for each metric, with one value per column. The one value is calculated from the series in the interim data set, for example =AVG(interim_sheet_reference:range) or any other calculation you'd like to do.
At last, you can use Data Studio to connect to this data source and use the values. For counts of users such as this example, you would use Sum as the aggregation field type when you are creating the data source.
It's super ugly but it works.