I have two tables that I need to compare return a true or false value, the challenge is the user ID appears multiple times in both tables which means my VLOOKUP gets stuck at the first value.
Table 1 relates to Messages sent to users
Table 2 relates to Orders made by users
I want to compare the two tables and see if a user has placed an order within 14 days of being sent each message.
I have tried using a Pivot for table 2 with UserID across the top and date down the left, then using Vlookup and Hlookup to return a value for the exact date but I can never get past looking at an exact date or the first value rather than all values.
Since you are just wanting to say "Yes" or "No" that a record exists based on multiple criteria, I think =COUNTIFS() is the way to go. COUNTIFS() lets you make a count of rows that match multiple conditions. – JNevill Mar 15 '16 at 17:33
Related
I work in Sales and I have to count how many days has a worker worked. I currently struggle to come up with formula to count it.
My thought proces is that I made a column with all the workers in the company and in second colum I want to get amount of days they worked. From data via Countifs I can pull TOTAL of entries there are with their name but I can't filter it with function to get specific amount of days they worked.
Example 1 of Data per one person if filtered manually:
Example 2 of Data per multiple workers:
As you can see our data is giving me multiple entries with one name, so like "Joe" has a certain date multiple times in the Data but I only need to count it once so I get the "1" that he worked in that day.
I don't want to mess with the original data input, I'm putting it ofcourse in different sheet since the Data sheet is just where I get my information from.
I used this formula to get total amount of entries from data per worker.
=COUNTIF(Data_All[Worker],[#Worker])
And then I tried to appoint it to a single date and make a whole table just for one worker and it would give me entries per day.
=COUNTIFS(Data_All[Worker],Sheet1!F2,Data_All[Datum],$H2)
Here as an example it showed like "Joe has 9 entries on that specific date"
So in the end what I'm looking for is a way or formula to be able to filter it and be able to count days a worker has worked from all the data given.
I also apologize if its difficult to understand what I'm looking for but my English is not that good and I'm pretty novice in Excel and its formulas.
Thank you anyway for any response to my issue.
Use Pivot table. Put Worker on "row", Date on "value", then right click on any date in Pivot table and choose "Summarize value by" and choose "count". Now you can see if any value is insert more then one time for any Worker. Then just Filer worker and count how many rows are inserted. Grand total is counted.
I have a huge epidemiological dataset containing registry data with pathology reports and clinical information. I have merged several files into one masterfile in order to get all information from one file. Every patient is assigned an unique ID-number. Each patient can have several reports and hence the same ID number can be repeated several times in the ID column. For each ID entry = new row (= pathology or clinical report) there is a date of that sample/information reported.
My goal is to be able to read all pathology/clinical info for a particular ID within one row.
By sorting the IDs, I get a clear picture of the number of each ID that has been entered. The problem arises when there are several reports = multiple rows with identical ID because the dates within this one patients with several IDs = rows do not match. The dates come from pathology (sample date, answer date, clinical info date etc). The dates from pathology and clinical within one patient does not have to match exactly on the day but still within a reasonable timeframe e.g. within 1-2 months. This is best illustrated with an example.
I want to sort the columns so that dates from a particular row match together. I am sure there is a way to do that but I cannot figure it out.
Thanks in advance
The issue of mismatching records seems to arise once the two separate tables are merged into one. In order to fix this, there are several options you can take:
Re-do the merge but strengthen the way in which the tables are joined on.
Instead of only merging based on ID, see if there is another field that could easily connect the records, perhaps a medical record #, case #, or event #, and merge the tables based on this new field AND ID. This would be the strongest solution, however it will only work if you can find said field to strengthen the link.
A separate solution would be to first sort the original tables based on the dates so that they match up and then re-merging them together.
In theory this should solve your problem as I assume currently when matching up the two separate tables it is grabbing the first instance of patient X01 from both tables and matching them together. This can be confirmed by checking the merged query and looking to see if the mismatched records are in the same order as presented in the original tables. This is not perfect, as it relies on no clinical dates occurring between pathology dates for the record, so I would proceed with caution.
And to address your concern about losing track of ID's with multiple rows, this should not matter as in the end result after merged you can then sort by ID, however you can add multiple levels of sort by selecting the data and going to Data -> Sort -> Add Level. You can change the order in which the data is sorted (First by ID and then by Date).
I have around about 12,000 individual accounts with balances ranging from .01 to over 5mm. I want to group them in a column header so that I know the number of accounts that fall into each range as well as the summed up value of those accounts. I know how to create my pivot table to do this except for the grouping. I can only get one group to work (0-100,000 and >100,000). What I need is:
0-100,000; 100,000-1,000,000; 1,000,000-5,000,000; 5,000,000+
Can this be done? Manually grouping them isn't very viable given that I have 12,000 different account balances....and I wouldn't really want to do that manually anyway.
Can you add a calculated column to the source of the data with a formula to return the categories you want? A nested "If" statement should handle it with ease. Something along the line of:
=IF(AND(BALANCE>0,BALANCE<100000),"0-100,0000",IF(AND(BALANCE>=100000,BALANCE<1000000),"100,000-1,000,000"))
Just add in the rest of the IF(AND(X,Y),"Display text") to generate your categories.
You could skip the Pivot table entirely and use COUNTIFS
=COUNTIFS(A$1:A$10,">"&0,A$1:A$8,"<="&100000)
=COUNTIFS(A$1:A$10,">"&100000,A$1:A$10,"<="&500000)
And so on
For the last category you can use a COUNTIF
=COUNTIF(A$1:A$10,">"&5000000)
(My formulas assume the data is in Range A1:A10)
I am trying to write a calculated member which acts differently depending on whether the user is filtering by that member or has it dragged down as rows or columns on their pivot table (using Excel).
The rules are:
1. If the user is using the date dimensin as a Report Filter in Excel, then the calculated member should get the maximum date out of all dates that they are filtered by.
2. If they have the date dimension as rows on the pivot table, then I need to apply ClosingPeriod and some other logic.
Please try this. The idea came from here.
Basically the dynamic named set represents what's in the report filters. And the EXISTING keyword trims the list of days down to the filter context of the current cell letting you detect say if one month is on rows. Compare counts and you can detect what the user did.
CREATE HIDDEN DYNAMIC SET CURRENTCUBE.SelectedDays as
[Date].[Date].[Date].Members;
CREATE MEMBER CURRENTCUBE.[Measures].[My Calc] as
CASE
WHEN SelectedDays.Count > {existing [Date].[Date].[Date].Members}.Count
THEN Tail({existing [Date].[Date].[Date].Members},1).Item(0).Item(0).Name
WHEN SelectedDays.Count < [Date].[Date].[Date].Members.Count
THEN Tail(SelectedDays,1).Item(0).Item(0).Name
END
Performance is going to not be good. And I suspect users will be confused with the results of your calc. If you want to describe the business scenario more I can maybe recommend a better approach.
I need to calculate the average value for each month. Currently I have 2 columns "DATE" (date value e.g 01/01/2010) and AccOpen (number value). So for all dates within January I need to return the average value of all numbers contained in the corresponding AccOpen rows for January dates.
Is it possible to use the CALCULATED option and input a FORMULA that will return the average for all itmes within each months period (when adding a column to the list ?
DATE ACCOPEN AVERAGE
01/01/2010 2 2
02/01/2010 2
03/01/2010 2
04/01/2010 2
01/02/2010 2 2
02/02/2010 2
03/02/2010 2
04/02/2010 2
You're not going to be able to do this OOTB without writing event receiver code (or other custom code running in a batch mode).
To get you started
MSDN - How to: Create an Event Handler Feature
Event Handlers : Everything you need to know...
This will need to hook into the list item update and then consolidate your list into a separate summary list with the calculations you need.
The brute force approach would be to run the calculation afresh for every item in the group when an item is inserted/updated.
A smarter approach would be to just update the delta (the difference between the old and the new record) which is easier to do if you store components of the calculation - so in your case
Month - NumRecords - TotalValue
and work out the Average on the fly (as its easy to delta the NumRecords/TotalValue but impossible to apply it directly to the average)
One 3rd party web part which may fit your need is PivotPoint - it allows you to do things like sum/count/avg over groups like Month & Year (disclaimer - I work for the company)
It is not possible to query anything other than the current item when creating a formula field.
The only way to do this is to create custom code either within an event handler for the list or external code that processes items in the list and updates a "average" field when required.
Create a calculated field to give you the year and month, for example: 2011-07. Then modify your list view to group on the calculated field. When editing your view, there is also an option to display totals, I believe you can set this to average for your AccOpen column. If you're not interested in the details, you can choose to collapse all groups by default.