I am using a dataset that has daily data joined with another data set (well tests) that has 1-3 entries a month per location. I want to calculate a ratio of the daily data to the well tests but then use that ratio until a new test is recorded and replace that ratio.
I've tried several different combinations of functions using Last() with over and intersects but am unsuccessful. The only way I have been able to get it to work is using LastValidBefore() and FirstValidAfter() but only when there is a single well in the dataset.
Couldn't figure out how to post the table but I put them in the following google sheet... Sample data set
Try
={"Oil Ratio";arrayformula(if(D2:D="",,D2:D/C2:C))}
in F1 in your spreadsheet
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I have been working on this for several days now and am having no luck in figuring it out, but feel like I am very close.
In Excel, I am trying to create a reverse running total for a budget by referencing a cell which can be modified or updated.
The only way I have been able to make this work so far is by hard-wiring the starting amount in manually. this is what I want, except every time we receive money I have to change the starting amount manually again.
= Excel.CurrentWorkbook(){[Name="Q4Rec"]}[Content][QT4_Received]{0}
I used this to break down one of my input tables into queries that result in singular numeric values. (The table sums all of the revenue received into annual and quarter) How do I how to reference the new single-quantity queries in my previously built queries to conduct the transformation. I keep getting null values.
I had to put the total amount of the object manually on top of the table as I couldn't find a way to get it automatically from the table of numbers I created. Could somebody kind-heartedly teach me how to do this automatically by simply pulling the data of the table created at Excel?
To add the total sum of each stack on top you have to use a Custom Combination Diagram and then add Data Labels and then adjust them via Format Data Labels.
If you need a pictured step-by-step explanation have a look here.
I am trying to create a table that will show me the mode of a data set. The data is contained in 3 columns.
Sample Data
Though the actual data set is thousands of rows
I am trying to identify what the most frequent rate paid is for each weight and zone.
I can get an average via a pivot table. I can also have a pivot table show me how many times each rate shows up in each weight and zone, but that is just a count. I would like it to show me the mode rate.
Any ideas on how to work this would be very appreciated!
Update: This is what I need the end result to look like:
Result:
I found the answer to what I needed to do here: https://www.get-digital-help.com/2010/02/11/match-two-criteria-and-return-multiple-rows-in-excel/
I was able to use this formula to create a list of values. From that list I used a mode and min formula to return the mode or min value.
From that I was able to populate a table with the values as needed.
Screen shot of the results.
I am trying to generate an Access database with information which is currently in endless sheets and tables in Excel.
I would like to know if there is any way to add a field to one table which is a calculation (average value) based on several other cells.
I need to calculate the running 6 months average value of another field which contains 1 value per month.
Hopefully the previous image shows what I mean.
What is the best approach to import this functionality into access?
You wouldn't normally store a calculated field in Access, you would run a query that provides you the calculation on the fly.
Without seeing your data structure it is impossible to tell you how to calculate the answer you need, but you would need your data correctly normalised in order to make this simple.
I have seen some posts that address this concept online, but I have been unable to adapt them to my needs.
Scenario:
I have a table with three columns.
Column A- [Month] (formatted mm/dd/yyyy)
Column B- [salesperson]
Column C- [Assets]
I am trying to determine a formula which will return the total assets for all salespeople for each month in a fourth column.
Why am I doing this? I am building a report which will generate a graph from this data. In reality there will be additional columns which will contain values for some variables. I will be using the slicer function in conjunction with these variables to create an interactive functionality within the graph. Hard coded references won't work for me, as this will be a recurring report, and the dataset will be refreshed with current data regularly.
Thank you for any help you can offer. I'm still fairly new to all this (<1yr) so interpreting general formulas I've found elsewhere has been very problematic.
Cheers!
Create a calculation like this (syntax dependent on data model)
AllSalespersons:=CALCULATE(SUM[Assets], ALL[Salesperson])
Using the CALCULATE function here is important because it will remove the row syntax for Salesperson (created in the pivottable) and give you the sum of 'ALL' salespersons for each month.
Again, you'll have to play with the syntax to fit your data model, but based on your quetsion, I think this should give you what you are looking for.