In the organisation that I work for employees get paid every 2 weeks on a Saturday. So for this financial year the pay period end dates have been 08/07/2006, 22/07/2006, 05/08/2006 etc
I have a column in an Access table listing various dates. I want the next column to be populated with the next pay period end date after that date.
So if DATE is 05/07/2006 I want PAY PERIOD END to be 08/07/2006 and if DATE is 09/07/2006 I want PAY PERIOD END to be 22/07/2006 etc
I have this table ("people") and an example of possible rows:
id(key) COL 1 COL2 department country name 1 xx yy KPP USA John 2 zz kk KPP USA John 3 ss ff TLL USA John 4 ww qq PPO Italy Marco 5 jj uu PPO Italy Marco
I have to count the number of distinct DEPARTMENT for each NAME; so, for John should be 2 (KPP and TLL) and for Marco 1 (PPO).
I have tryed in this way:
SELECT COUNT(DISTINCT department) AS NumberOfDifferentDepartments FROM people GROUP BY name;
i have a table that has meter readings for copiers on it and dates. i need to add another column to show the differences in the meter field between itself and the row entered before it (the month before) to find out how many copies were made. i can do this in excel very easily, but cant figure out how i would do it in access sample: Date Meter Diff. 06/01/2006 0 0 07/01/2006 1000 1000 08/01/2006 1500 500 we will be entering the date and the meters in every month, but i need to have it calculate the difference between months so i can then calculate overage, if any.
I want to reduce the first column to unique records, and have the second column listed on the same row. (I'm assuming I'll need Access to do it.) Is there a way to produce a table like this?
1 A B 2 A B C
The final result would need to be something I could put back into Excel.
I have parent-child one to many data in one pair of relationships, and now I've been asked to see be able to find out what matches a defined regimen; each is also defined in a parent-child relationship.
Best is to show sample data. I'm going to show them as two tables, but the "Components" are actually in a parent-child relationship, e.g.,
PersonList -= Meds Regimen -= Meds as well
Note that PersonList and Regimen do not really have any relation; we just want to see if things are being done one of the ways they are "supposed" to be done, without a slow manual check. It's worked as set up for reports, and I really don't want to change everything to a big long list of fields, one field per med for a lot of reasons (not least of which is that is denormalizing)
Quy 1 Result: PersList T1Component Andrew Med 1 Andrew Med 2 Brett Med 1 Brett Med 3 Brett Med 4 Charles Med 2 Duane Med 1 Duane Med 4
Quy 2 Result Regimen T2Component Goody1 Med 1 Goody1 Med 3 Goody1 Med 4 Goody2 Med 1 Goody2 Med 2
I'd like to be able to do two queries - one that are "OK" one that are not. Don't need to replicate the med list, just the regimen if matching..
"Good" would return Person Regimen Andrew Goody2 (he has med 1, 3, and 4) Brett Goody1 (he has med 1 and 2)
"Bad" would return Person Charles Duane
What they "almost match" does not matter; it tells people which ones we need to check into a bit more.
I have the below query (A). How do I calculate the Day of Therapy as shown in B
A MRN Last Name DOA Service startDate INR Dose WarfID VisitID 12001 Smith 6/28/2013 Warfarin 6/29/2013 1.20 6 mg 10 138 12001 Smith 6/28/2013 Warfarin 6/30/2013 1.20 6 mg 11 138 12001 Smith 6/28/2013 Warfarin 7/1/2013 1.3 6 mg 12 138 12001 Smith 6/28/2013 Warfarin 7/2/2013 1.40 6 mg 13 138 12001 Smith 6/28/2013 Warfarin 7/3/2013 1.40 7.5 mg 14 138 12001 Smith 6/28/2013 Warfarin 7/4/2013 1.70 7.5 mg 15 138 12001 Smith 6/28/2013 Warfarin 7/5/2013 2.00 7.5 mg 16 138 11002 Brown 7/1/2013 Warfarin 7/1/2013 1.00 2 mg 17 139 11002 Brown 7/1/2013 Warfarin 7/2/2013 1.3 4 mg 18 139 11002 Brown 7/1/2013 Warfarin 7/3/2013 1.50 2 mg 19 139 11002 Brown 7/1/2013 Warfarin 7/4/2013 1.8 2 mg 20 139 11002 Brown 7/1/2013 Warfarin 7/5/2013 2.20 2 mg 21 139 1205972 Jones 6/28/2013 Warfarin 7/6/2013 1.0 6.5 mg 29 138
[code]....
What I really want is to calculate the time (# day) it takes to reach a target goal INR (2-3) I have tried DateDiff between DOA (date of admission) and Start date but this obvious won’t work because some patient won’t start on warfarin until later.
Another possibility is to calculate date difference between two rows in same column but I don’t know how For example Pt 1 = It take 7 days to reach an INR of 2, Patient #2 = it takes 5 days to reach an INR 2.2 and Patient #3 takes 6 days to reach an INR of 2.1. Average = 6 days.
I am still quite new to Access and have spend the last two days looking for a solution to an issue but don't seem to find anything that fits. The problem is that I want the three year average of [NIbyA] inserted in [AvgNIbyA]. The years are stored in [FocalYear] (as Date/Time formate) and [TextYear] (as text formate) and [ID] indicates which entity the record belongs to (see below).
UniqueID ID TextYear FocalYear NIbyA AvgNIbyA 1020180-19981231 1020180 19981231
[Code]...
Example.accdb
I have been playing around with update queries but can not seem to get the syntax right. The query needs to add NIbyA for year 1998, 1999 and 2000, divide it by 3 (or use Avg() function or something of that sort) and insert the result into the row where [FocalYear] = 13/12/2000. To add to the confusion, it should obviously only add those records that belong to the same ID. Years are from 1998 to 2010 and ID's are random (this obviously means that the rows where [FocalYear] = 13/12/1998 and [FocalYear] = 13/12/1999 will not have an entry).
I have a query question . How can I extract a CHANGED value" in a column? Example here under table1. Time and TAG makes a record unique, No ID available ...
I want to have as output 10:04 Tag2 12 10:07 Tag1 11 10:08 Tag2 11 (so at 10:04 tag 2 changed in value and on 10:07 tag1 changed value and 10:08 changed Tag2)
Preferably with the previous value as well, but this is not the highest prio 10:04 Tag2 12 11 10:07 Tag1 11 10 10:08 Tag2 11 12
I'm trying to update all the rows in a column (column A, PO Number) within a table (iSupplierTable). The value (txtPONbr) is entered by the user on a form (NewPO).
Code: Private Sub cmdSubmit_Click() On Error GoTo cmdSubmit_Click_Error Dim db As Database Dim rst As DAO.Recordset Dim strSQL As String strSQL = "iSupplierTable"
Board Member(Lookup,integer) SAMGA(Lookup,integer) 44 Smith smith@abc.co.za 44 Board Member ADHTY 44 Smith smith@abc.co.za 44 Grower SAMGA 44 Smith smith@abc.co.za 44
I only want to show 1 row, based on the duplication of E-mail address. I know i should be using the row_number function, but cannot get to the result I want.
I have an Access Database and I want to split up one column into multiple columns. The one column has multiple rows that relate to one person, so for instance I have the following:I am taking information from both tables and I want to create a query but I need to separate out the mother, father, and guardian with the names attached
So from the Child table :
Joe Smith Address Phone
The query that I created is from two tables, the child table and the family table: ( I used the dashes just for it to be easier to read)
First Name--- Last Name--- First Name--- Last Name--- Relationship Joe ----------------Smith ----------Jane --------Doe-------------Mother Joe ----------------Smith ----------John---------Smith---------- Father
So in this scenario I need to get the name of the second parent in another column....meaning have all the parents appear on the same line for this child, and each child there after..
First Name------ Last Name------ First Name------ Last Name------ Relationship------ 2First Name------2Last Name------2Relationship Joe----------------Smith------------ Jane-------------- Doe------------- Mother-----------John---------------- Smith------------ Father
I have a database with all the hours employees have logged stored in the database. Our payroll company wants an excel spreadsheet that has very specific info in particular columns and fields on the excel spreadsheet, so I'm trying to design a query which will put the correct info in the correct fields per their system.
The challenge is, I have currently a query with Employee ID, Overtime Hours, and Regular Hours as separate columns.
I need to translate this to a query with a single column for hours and a separate column that designates those hours as OT or Reg, with two rows for those employees who have both types.
I don't know how to create a query or a formula in a query to break out each employee row into multiple rows with different data in the hours column. It seems like there's something pretty straightforward that I've done in a similar vein but it doesn't seem to work - I can do the opposite and combine those hours by using the SUM function in a query, but I can't seem to break it out this way.
I need to compare the sum of a values in a column of rows with the same id. For example:
Code: ID Value1 Value2
122222 20 40 (these are okay, the sum of Value1 in rows with same ID equal value 2) 122222 20 40 333333 100 100 (ok) 111111 50 100 111111 50 100 (not ok, the values with same id add to 150, so the first row containing this id should be deleted so the the total of Value1 equals Value2) 111111 50 100
In reality there are many more machine parameters (about 30). We have two machines that usually are set with 2 different set combinations of parameters. The combinations vary at times but are usually one or the other
Currently the user is going in and selecting the parameters from a combobox manually for each lot number.
To save him time and work, I want those fields auto populated with the parameters for a machine. So the user will hit a button for machine 1 or 2 and the parameter rows will fill with that machine's correct parameters.
I am working with an Excel file of raw data aggregated from an annual customer relationship survey that has been sent out since 2010. The file has approximately 20,000 rows, meaning the survey has been taken around 20,000 times. Unfortunately, each time a customer takes the survey, it is included in the raw data as a separate entry. Therefore the file has numerous duplicate email addresses, corresponding with unique data for each time the survey was taken. Another issue regarding the data, is that in the first year the survey was sent out, the distribution mechanism "broke" and the survey was sent out multiple times (and completed multiple times) in the same year by the same customer, so the surveys are not necessarily uniformly distributed, if that makes sense.
I have been interested in isolating the common respondents (those who have taken the survey across multiple years, albeit not necessarily consecutive years). Up to this point, these respondents have been isolated manually using a pivot table, however I am now looking to enter the raw data into SPSS (a statistical analysis package), in order to view the drivers of these common respondents.
Therefore, I would like to be able to isolate these common respondents and the data corresponding with their surveys from the raw data in a separate worksheet or file. I have tried various formulas to do so in Excel to no avail. Is there anyway to accomplish this in Access or would a more complex database be needed?
Ideally the final product would have the common respondents' information from multiple surveys in one row and would be able to be filtered by feedback date (found in the raw data), so that hypothetically one could select a month and be able to tell how many customers considered to be common respondents completed a survey within that month.
HELP! I’m working for a charity in a small town Tanzania and there is not a soul for miles who knows anything about access.
I have created a database to track requisitions of Office Supplies. I have table full of the requisitions which contains multiple rows for each item we have in the store and the quantity requisition on each occasion.
What I want is a query that will calculate the total quantity of each item requisitioned in a month. Is there an easy way to do this??
I have a table [VL] with four fields, [vl_id], [product], [vl_date], [valeur_liquidative].
The idea of the table is that you can input and update the value of each product on a given day.
I need to find the difference in days between successive dates (vl_date) each time that a product value (valeur_liquidative) is updated. Values aren't updated everyday as it is not updated during the weekends. I have had a go at this but have struggled..
A picture of what the table looks like is attached for reference.
