Queries :: DSum - Count Of Each Time The Record Appears
Feb 26, 2014
I'm trying to generate a query that can be used for a pareto chart (Bar Chart shows the count of a defect and a line chart as a second axis counts the cumulative percentage)
I've grouped my data, and sorted the Count of each time the record appears but I cant get my head around working the cumulative percentage. My datasheet currently looks like this:
Reason Count Per Expr1
A 35 47.9 Random Numbers
B 11 15.1 "
C 10 137 "
D 9 12.3 "
E 7 9.6 "
F 1 1.4 "
I have a report that i can order through buttons on report or openargs. Is it possible to get a field that would count the number of time an item appears i.e., if I sort it by employee, it would count how many times each employee is on the report, if i sort it by TypeOfMalfunction, it would count how many times each appears.
I have a log in table that counts every time a user logs onto the database. Each time a user logs in it adds another entry to a table.
I have built a query to display the user name and date of log in so I could display this information in a report. The report is now getting rather long, and I am looking for a way to display each users name and have the total number of times they have logged in, not display each time they have logged in separately.
The Query has two fields "Agent Name" and "Logger Date"
The report displays the data as follows
Agent Name Logger Date User 1 26/5/13 User 1 26/5/13 User 1 27/5/13 User 2 28/5/13
What I would like to do is have a report listing each users name, with a column showing how many times they have logged on. e.g.
How to count the number of times that the data appears in a certain field (which is [Ema!l]). I have a list of ema!l addresses and I want to find out whether that ema!l address has appeared once, twice or more. I want to add this as a field in a query. I don't want to delete it or anything because it's perfectly fine for the ema!l address to appear more than once, I just want to be able to identify when the ema!l address has already appeared.
If I was using Excel I would use a Countif function to count how many times the data in the specified cell appears in the whole column, and that would give me the number. I'm not use to the language of Access so I can't figure out how to achieve this.
I tried adding a Total row to the grid in the query and then changing the total to 'count' but this just returned 1 for every row.
I am using DSum to total some records located in a subform. I have code to save the value returned by DSum to a table on a lost focus event. It works great except for one thing. The value saved is always one record behind. The save code is:
Dim dbs As dao.Database Dim rst As dao.Recordset Set dbs = CurrentDb Set rst = dbs.OpenRecordset("tblInvoice", dbOpenDynaset) rst.FindFirst "ID = " & Forms!frmInvoice!txtID With rst .Edit !Total = Forms!frmInvoice!txtTotal .Update End With Exit Sub
txtTotal is the textbox containing the DSum value. It displays the proper value. If I insert a blank row the routine will finally pass the right value. I tried running the code from a button but it still copies the old total.
The journal ID above was an accounting entry, debit $16,797 and credit $-16,797. because it was entered as a reversing journal in the system, the table has captured the Journal ID with 2 dates. For my purpose i only want the one date (MIN) date, the total amount of the journal (either the debit or credit amount 16,797) and the total number of lines the journal ID has so in this instance I want the count to be 2 and not 4.
Im thinking with the total sum because theres debits and credits is there a way to do the absolute value of the journal MONY_A then divide by 2?
current SQL SELECT [One Year Data Lines].JRNL_I, [One Year Data Lines].CNCY_C, Count([One Year Data Lines].JRNL_I) AS CountOfJRNL_I, Min([One Year Data Lines].JRNL_D) AS MinOfJRNL_D, [One Year Data Lines].BUSN_UNIT_I, Sum([One Year Data Lines].MONY_A) AS SumOfMONY_A FROM [One Year Data Lines] GROUP BY [One Year Data Lines].JRNL_I, [One Year Data Lines].CNCY_C, [One Year Data Lines].BUSN_UNIT_I HAVING ((([One Year Data Lines].JRNL_I)="0002888269") AND (([One Year Data Lines].CNCY_C)="aud"));
What I am currently doing is querying a table for the Count(*) for the day before. This works all well and good, but now I am wanting to break it down by a time range from the trDateDT field.
I want to count the number of tasks by department by week. I need the time so my date the task was added is formated as a date/time.
I created a query and added the department (twice so that I can group and count), and transaction date. I clicked on totals and added the count function under the department. I added this criteria to the task date: between [start date] and [end date].
Problem is that it's grouping by day and each one is different because all times are different. How do I group these by day and not time?
I want to use to count how many times a record is displayed in the period and lesson field, in another table, so that this data can be used to show how many people are attending a class. e.g how many times people are attending art 1, by counting how many times art one appeared in the first table.
I have windows 7 access 2013, I had a query made, and wanted to add fields to it, so i went into the SQL and added several fields. Only the first one i entered didn't work and on the query is called "Expr1003" when in datasheet view. Its right in layout view, and even when i tried adding the same field in layout view, it made it "Expr1004". spelling is correct, in both source table and query, i don't know why this field doesn't work especially when the others did.
I have a fairly simple query to weed out all the records in our database that are missing vital pieces of infomation :
Code: SELECT Contacts.Name, Contacts.Address1, Contacts.Address2, Contacts.Town, Contacts.County, Contacts.Country, Contacts.PostCode, Contacts.Telephone, Contacts.Code FROM Contacts WHERE (((Contacts.Address1) Is Null) OR ((Contacts.Address2) Is Null) OR ((Contacts.Town) Is Null) OR ((Contacts.County) Is Null));
Is there anyway to count how many fields are missing for each record ?
I'm working with a table of bird survival data I am trying to summarize in a query. I've got a bit of a roundabout way to achieve my goal, but I'm curious if there is a simpler approach.
Background : In my table, each row represents a day I check a given nest and includes a [Nest ID] (not unique, multiple visits to each nest), a [visit ID] (auto numbered, so it's a unique value for each visit at each nest), the calendar day I visited a nest [Date], and [Survive] (1 or 0) depending on whether a nest survived or failed.
I'm trying to convert this detailed table into one that is more concise. Instead of each visit to a nest being a row, each nest becomes a row with 4 fields: The Nest ID, the minimum date (the day I found a nest), the last day a nest was checked (Max[Date]), and the last day a nest was checked alive (essentially max date where survival=1).
My current solution is to run 3 separate queries. The first queries the max date where survival=1, the second queries the max and min dates regardless of any other criteria, and the third brings both queries together.
I am curious if there is a way to create the same final product in a single query rather than doing multiple ones as I have done?
This is kind of a weird problem, and everything I've learned about access has been on my own through empirical experimentation so forgive my if my description doesn't make sense, or if I overlooked something really simple. (Apologies for that, I've looked over all the guides on queries and record counting I could find and got nothing on this.
I can't figure out a better way of explaining my situation so I'll do the best I can.
I need to make a query that shows the number of people that have registered for a class. In one table I have the primary key Schedule ID which is the unique class, which is linked in one-one relationship with another field of the same name. In the second table with that field I have the field schedule ID which shows up multiple times, for each student enrolled in the course, second is the field Participant. There is the following data: Schedule ID...Participant 1 ................ <name1> 1 ................ <name2> 1 ................ <name3> 4 ................ <name4> 4 ................ <name5>
What the result of the query should look like is this:
Schedule ID...Number of participants 1 ................ 3 4 ................ 2
But instead I get Schedule ID...Number of participants 1 ................ 5 1 ................ 5 1 ................ 5 4 ................ 5 4 ................ 5
I have tried various variations of the Count and Dcount functions but I always wind up with that result (if it works at all)
This is the expression I am using:
Expr1: DCount("[Schedule ID]","Class Roster")
where "Class Roster" is the name of the Table that Schedule ID is located. I have tried changing it out with the name of the first table, and I have tried using participant instead of Schedule ID, but neither works. So far I've been able to use a crosstab query to get something roughly what I want but I think the assignment calls for a regular query.
Again, sorry if this doesn't make any sense, I did my best to explain it, and I couldn't find an answer anywhere. Thanks in advance for any help!
Oh, by the way, it's access '03 that I am using.
UPDATE: I have a second problem I'm trying to solve, and this one seems more confusing than the first to me. I have a table with the following fields:
Project Name, Task name, employee ID, Production Week, and Hours Worked. The first two being text and the last 3 being numerical.
I need to create a query that totals up the hours worked for each employee (one employee ID can show up under multiple projects/tasks) and returns the total hours in a particular week (week 20) of each employee that has worked over 40 hours, and only the ones that have worked over 40 hours. I can not figure out how to create a field that will sum up the hours worked for a given employee, nor can I figure out how to show only rows where the total hours record exceeds a certain amount. It seems like I would want a conditional like an IIF statement but those seem to be only for returning values, not showing/hiding.
I am basically looking for a way to display the total number of records for a selected number of tables and queries in my database on one screen or on one single page view. The problem with using reports or forms is that they tend to bind you to a single table as a record source. This summary would require multiple tables and queries. The summary data would look something like this with a total coming from a Count() or count type function:
# of records: 3000 # of records to insert: 500 # of records to delete: 400 # of records to update: 2100 # of records changing location: 100
I'm attempting to do a DSUM in a query against a linked table that has a field name of "VOID". The field name shows up as a yes/no when looking at the structure and when looking at the data, it is either 0 or -1. I've tried just about everything I can think of but this is the structure I have:
Tons: DSum("Net","dbo_tblSALESTKT","JOB='" & Left([JobNumber],6) & "' AND Ticket_Date=#" & [forms]![frmForemanInfo]![CurrentDate] & "# AND [dbo_tblSALESTKT]![VOID]=0")
If I remove the VOID part, it will sum correctly but when adding in the VOID=0 or false or No or anything, the query doesn't show me a sum anymore. what I'm doing wrong.
I have a query which includes a deposit field and a Transaction_Date field. I would like a cumulative deposit on each record (arranged according to date). The following is the expression I am using:
I am getting completely nonsense values from the expression - some of the fields are blank (the first few fields) and then the values bear no relation to the deposits preceding them. I have tried all sorts of formats including using Format([Date], 'dd/mm/yyyy') on either side and then on both sides but with no effect.
I've tested both statements separately and they work ok, but as soon as I add the "AND" operator, the whole field is summed and the criteria thrown out of the window apparently.
[ID] Is the same in both tables and relates to a main record [Cage Number] and [IBC_Number] are related in both tables, but are and are strings
I am having a query showing customer as client, paid amount as pamount, billingdate, payment date as pdate.
I want to get dsum of pamount specific for each client with date criteria for example if i open query through form mentioning start and end date then the sum must vary as per the date given. the date is "billingdate" as mentioned above.
I am trying to automatically update one table to another each time a new record is added to my form, I have tried using the Update and the Append Query is there another way to do this without using code?
I need to do a DSum with criteria that picks up a previous month based on todays date, I have got the following but I don't know how to format the last part of the criteria.
If I take out the Month(DateAdd("m",-13,(Date()))) and replace it with 6 it works fine.
I am trying to create a user-friendly database to enter invoice records (deductions and additions) for securities. I would like to be able to run queries with running totals from month to month inclusive (end total of one month = starting total of next month). I have already figured out how to create a running total; however, I have numerous "companies." Each record could be from any of 30 companies. When I add up the running total from say January 1 to February 28th, I get the additions and deductions of all the companies, not just the one I want. Inputting the companyID (example A110) in the query box only adjusts what is displayed, not the running totals that go by the total deductions from the records before that record (I assigned each record a "database ID" because dsum does not recognize dates in the criteria box, if I want to do a running sum.
I also was wondering if it would be possible to build forms with macros to create these queries in a user-friendly manner (so the company that I am interning for can create queries when they need them without me there).
