I have a very large database and I need to extract information from 3 columns:
I am trying to determine how many unique customers the user is processing.
Username. This is unique name.
CustomerNumber. A customer number will appear on many lines, as they could have ordered many products and each product is a line.
Date Range. I need to be able to define a date range.
The code I am tried and searched is counting the customer numbers, but not just the distinct customer number.
I have not tried the date range as yet.
I have attached 2 images to show an example of the database and the end result. We used a pivot table to produce this result, but the data changes all the time and we dont want to create a pivot table the whole time.
Image of Sample Data in Excel:
Image of Required Final Result
SELECT `'All data$'`.Username, Count(`'All data$'`.CustomerNumber)
FROM `C:\Users\rhynto\Desktop\Darren Qwix\QWIX_PICKED.xlsx`.`'All data$'` `'All data$'`
GROUP BY `'All data$'`.Username
I will appreciate any advice on this please.
Related
I get the feeling this is easy for SQL, but I'm new to it. I want to query table CUST_TRAN and find out the ID for value $1 which is in column INVOICE.
I then want to use the newly discovered ID to update table TRANSACTS to change the DATE and DATE_TIME (two values in two columns) to value $2 using the column IDFROMTRAN to match the ID against. There are very often two rows with the same IDFROMTRAN that need to be updated, because the customer signs for the goods and that creates its own row.
Does any of this make sense?
Basically, to explain what I'm doing I'm changing the date on transactions to put them into last month, so that they'll be invoiced correctly and reflect when the customer was actually in store.
TLDR: How do I find out an alternative ID for a transaction then use that to change the date in two rows in another table?
I am creating an Access Database from a very complex Excel Spreadsheet. The process has been going well until I got to this problem. The solution is easy in Excel, but I cannot figure out how to do it in Access.
Here is what I had before in Excel.
I had a list of Customers on one sheet with multiple fields. I then had another sheet act as a report that would run a VBA macro to search through the table of all customers and list out every customer by name that was an inbound call from our contact center (Que Call), when that call came and then would calculate a third column for the number of days between calls. This last column is where I am running into difficulties translating to Access. In Excel, I would just have it do something like in cell C3 =SUM(B3-B2). Given that the table looked like this:
Column A Column B Column C
Row 1 Name Date Time Lapse
Row 2 Customer 1 7/1/2019 ----------
Row 3 Customer 2 7/2/2019 =SUM(B3-B2) <-- 1 day
Row 4 Customer 3 7/4/2019 =SUM(B4-B3) <-- 2 days
In Access:
I have a report that goes through my table of customers and lists off only those from our contact center (Que Call), but I can't figure out how to put in the calculation of time between calls as the design only allows me to affect one row. How do I make this calculation? Is it a SQL query that I need to do? I would prefer to not have to have a separate table for call center calls or a separate column in my customers table to calculate this as some customers are not from the call center. Can I just run a report or a query. Any advise or help would be greatly appreciated.
Current SQL Code:
SELECT
[Customers].FullName,
[Customers].ID,
[Customers].QueCall,
[Customers].Status,
[Customers].InterestLevel,
[Customers].State,
[Customers].Product,
[Customers].Created,
[Customers].LastContact,
[Customers].PrimaryNote
FROM
Customers
WHERE
((([Customers].QueCall)=True));
ORDER BY
[Customers].Created;
Describe exactly how it isn't working (error message, unexpected results, etc...)
It just lists out the customers and does not allow me to calculate the difference between when the records were created (ie when they were first contacted). I have found many things online about how to calculate the difference between two columns of the same record, but not between two different records; nor two different records that may not be sequentially after each other as there may be other non Que Call customers between records in the customer table.
Describe the desired results
I would like to have a column in the end report that shows how many days lapsed between records that were que calls.
Thank you in advance for any input that you may have.
Consider a correlated aggregate subquery where an inner query from same source, Customer, is correlate with outer query by same ID (assumed to be unique identifier) with date comparison (assumed to be Created field). Notice the use of table alias, c and sub for the correlation.
Use DateDiff for difference between dates. To use this query, place below query into the SQL mode of Query Designer and save the object to be used as recordsources to forms, reports, opened on its own, or used in application code as recordsets.
SELECT
c.FullName,
c.ID,
c.QueCall,
c.Status,
c.InterestLevel,
c.State,
c.Product,
c.Created,
c.LastContact,
c.PrimaryNote,
(SELECT TOP 1 SUM(DateDiff("d", sub.Created, c.Created))
FROM Customer sub
WHERE sub.ID = c.ID
AND sub.Created < c.Created
GROUP BY sub.Created
ORDER BY sub.Created DESC) AS TimeElapsed
FROM
Customers c
WHERE
(((c.QueCall)=True));
ORDER BY
c.Created;
Do be aware for large tables this correlated subquery can be taxing in time and performance. Allow time to complete and look into storing output in a temp table with a Make-Table Query to avoid re-run.
Here's the scenario:
I have an Access project with tables consisting of the following data:
Activity table: ActivityName, ActivityPopularityRating
Volunteer table: VolunteerName, VolunteerRating
Each activity can have many volunteers and each volunteer has a rating.
I have to create a report which indicates for each activity, the names and ratings of the volunteers taking part in that activity, as well as the average VolunteerRating of the those volunteers taking part in each activity. An example is attached.
I have created the SQL query but I am not sure if I should generate the average value needed in the query, or if there is some function in Access that would allow me to do that in the report.
Here is my Query:
SELECT Activity.ActivityName,
Activity.ActivityPopularityRating,
StudentVolunteer.VolunteerName,
StudentVolunteer.VolunteerRating,
AVG(StudentVolunteer.VolunteerRating)
FROM Activity
INNER JOIN StudentVolunteer ON Activity.ActivityName = StudentVolunteer.ActivityName
GROUP BY Activity.ActivityName
All help is appreciated
Thanks
To add a total line (here showing the average rating) to your results, you would use UNION ALL in MsAccess (or ROLLUP in another DBMS). However, it is not necessary to add such line to your query. The data is already there (it is the avarage of the selected ratings, which can easily be calcualted from them).
So remove GROUP BY and the AVG line from your query and add AVG(VolunteerRating) in your report layer instead. The report will then calculate the avarage from the ratings.
I have been struggling with creating a query in Access to select a distinct field with the criteria of having the newest entry in the database.
Heres a brief summary of how what my table conssists of. I have a table with surveying data collected from 2007 to the present. We have field with a survey marks name with corresponding adjustment data. In the corresponding data there is field with the adjusmtent date. Many of the marks have been occupied mutiple times and only want to retrieve the most recent occupation information.
Roughly i want to
SELECT DISTINCT STATUS_POINT_DESIGNATION
FROM __ALL_ADJUSTMENTS
WHERE [__ALL_ADJUSMENTS]![ADJ_DATE]=MAX(ADJ_DATE)
I seem to be getting confused how relate the select a distinct value with a constraint. Any Suggestions?
DH
Seems you could achieve your aim of getting the latest observation for each survey point by a summary function:
SELECT STATUS_POINT_DESIGNATION, Max(ADJ_DATE) AS LatestDate, Count(STATUS_POINT_DESIGNATION) AS Observations
FROM __ALL_ADJUSTMENTS
GROUP BY STATUS_POINT_DESIGNATION;
I have a SQL database that uses MS Access as a front-end and is coded with VB. Data is imported daily from an Excel spreadsheet in the form:
Journal Date, IO Account, Amount, Posted Date, Line Description, User ID, Date Checked, Voucher
The Voucher data is formatted in the Excel spreadsheet like:
1111111;2222222;3333333
The Voucher can have as many voucher numbers as needed (anywhere from 1 - 13 different num bers usually) and each number is separated by a semi-colon. Also, each number can differ in physical length. I then need to link these voucher numbers to multiple different tables. The data structure that was in place when I took over this project stored the voucher in the semi-colon separated form and parsed the string to link to other tables. I'm getting ready to revamp this database, and I don't want to store the data like this format because I know it violates 1NF.
I know I should probably use foreign keys, but I'm not sure how with the varying Voucher data. I have the ability to parse the data any way possible with VB in Access when it comes from Excel, I just don't know how to store it to relate my tables.
The goal of the project is to match everthing that relates to each distinct voucher and see if the amounts match up. Right now the process takes anywhere from 5 - 10 minutes to split the vouchers and compare the data across tables.
Let me know if you need more information. Any advice would be appreciated.
Thanks!
EDIT- Let me be more clear:
Here is an example voucher: 2988670;2990020;2989130;2991597;ONL112382
There are multiple entries in the table (call it T1) with this voucher with differing amounts. Each of the numeric values (excluding ONL number) correspond to another table (call it T2). If each of these 4 numbers are in T2, they are said to be "Matching". If they are matching and the sum of the amounts in T2 equal the sum of the amounts in T1, they are "Matching with no difference".
Sometimes the voucher looks like this: ED414596
In this case, I have to compare this value to a completely different table (call it T3). It includes the same matching process as above.
*Let's just say the voucher comes across in multiple ways and it needs to be compared to multiple tables.
Your voucher table would have a voucherID and a voucherNumber, this would allow voucherID to be repeated as many times as necessary. voucherID would be a foreign key from your first table, and the two columns together would be the PK for this table.