I have a sheet of data to which I have run several macros to identify differences, I am now looking to create a matrix table which shows me the differences per column per department.
This is how my sheet looks after it has identified differences:
[DifferencesSheet] http://imgur.com/na6nvNH
And this is what I want to get to:
[FinalSheet] http://imgur.com/i6W60m7
I currently have image 1 which is a table of highlighted differences and I need to create matrix department on the y-axis vs. column headers along the x-axis and the amount of differences per column
Not sure if I can use a pivot table as the data is always changing.
Any advice will help thanks.
Chart will be more suitable as you got 2 manupulations
Use MS Query:
SELECT outTab.Department, SUM(outTab.DepartmentCode), SUM(outTab.Sales)
FROM
(SELECT
S1.Department,
Iif(S1.DepartmentCode=S2.DepartmentCode,0,1) as DepartmentCode,
Iif(S1.Sales=S2.Sales,0,1) as Sales
FROM [Sales$] as S1
INNER JOIN [Compare$] as S2 ON S1.ID = S2.ID) AS outTab
GROUP BY outTab.Department
You need to add the remaining columns above - I added the first two DepartmentCode and Sales. To refresh you will need to only right-click and hit Refresh.
How to create an MS Query in Excel?
Two ways:
Go to Data->From Other Sources->From Microsoft Query
Download my SQL AddIn (free and open sources) [here][4] and just input the output range of the query (F1) and input the SQL and hit Ok
Related
I have a table called "parts" which stores information on electrical connectors including contacts, backshells etc. all parts that are part of an assembly have a value in a column called "assemblyID". There is also a column called "partDefID", in this column connectors will have a value of 2, contacts will be 3. I need to get rows for all connectors that have a unique assemblyID. It's easy to get rows that represent connectors just by selecting rows with a partDefID of 2 but this will return multiple rows of connectors that may be part of the same assembly. I need only those rows of connectors with a unique assemblyID. How can I do this?
see image below:
what I am trying to get is just ONE of the rows shown below, any one of them would be fine as they are all part of the same assembly.
just one of these rows needed
[update]
it seems my question was not well formed and the use of images is frowned upon. Inserting a text version of my table looked REALLY horrible though! I'll try to do better. yes, I'm a newb at both sql AND this website
If you want just one "connector" row per assembly ID, you can filter with a subquery. Assuming that PartRefID is a unique key:
select *
from parts as p
where [PartRefID] = (
select max(p1.[PartRefID])
from parts as p1
where p1.[AssemblyID] = p.[AssemblyID] and p1.[PartDefID] = 2
)
I don't know if this is what you are looking for
SELECT assemblyid,count(partdefid)
FROM parts
WHERE partdefid=2
GROUP BY partdefid,assemblyid
HAVING COUNT(partdefid)=1
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.
What would be the expression to create a calculated column in Table Example 2 called "SZODMAXCALC", that would contain the SZODMAXCALC from Table Example 1 given that the data from Table Example 1 falls between the dates (DTTMSTART and DTTMEND) within Table Example 2?
Maybe this is easier done on the SQL side that loads the data?
there is no way to create a calculated column that references a column in another table.
you will need to do a join either in Spotfire (via Insert...Columns)* or on the SQL-side of things (either via a view on your database or by creating a new information link in Spotfire).
the best method depends on your data structure, implementation, and desired results, so I'm not able to recommed there. take a look at both options and evaluate which one works best.
* NOTE that Spotfire cannot join based on a Calculated Column as a common key. that is, using your example, if [WELLNAME] is a calculated column, you cannot tell Spotfire the equivalent of SELECT wellname, ... FROM table_a LEFT JOIN table_b ON table_a.wellname = table_b.wellname.
the alternative is to Insert...Transformation and choose Insert New Calculated Column, and to join on that instead.
the reason for this is that calculated columns are very mutable; they could change frequently based on a user action. it would be inefficient to re-execute the join each time the column's contents changed. conversely, a "Transformation Calculated Column" is only updated when the data table is loaded.
I have an ODBC database that I've linked to an Access table. I've been using Access to generate some custom queries/reports.
However, this ODBC database changes frequently and I'm trying to discover where the discrepancy is coming from. (hundreds of thousands of records to go through, but I can easily filter it down into what I'm concerned about)
Right now I've been manually pulling the data each day, exporting to Excel, counting the totals for each category I want to track, and logging in another Excel file.
I'd rather automate this in Access if possible, but haven't been able to get my heard around it yet.
I've already linked the ODBC databases I'm concerned with, and can generate the query I want to generate.
What I'm struggling with is how to capture this daily and then log that total so I can trend it over a given time period.
If it the data was constant, this would be easy for me to understand/do. However, the data can change daily.
EX: This is a database of work orders. Work orders(which are basically my primary key) are assigned to different departments. A single work order can belong to many different departments and have multiple tasks/holds/actions tied to it.
Work Order 0237153-03 could be assigned to Department A today, but then could be reassigned to Department B tomorrow.
These work orders also have "ranking codes" such as Priority A, B, C. These too can be changed at any given time. Today Work Order 0237153-03 could be priority A, but tomorrow someone may decide that it should actually be Priority B.
This is why I want to capture all available data each day (The new work orders that have come in overnight, and all the old work orders that may have had changes made to them), count the totals of the different fields I'm concerned about, then log this data.
Then repeat this everyday.
the question you ask is very vague so here is a general answer.
You are counting the items you get from a database table.
It may be that you don't need to actually count them every day, but if the table in the database stores all the data for every day, you simply need to create a query to count the items that are in the table for every day that is stored in the table.
You are right that this would be best done in access.
You might not have the "log the counts in another table" though.
It seems you are quite new to access so you might benefit form these links videos numbered 61, 70 here and also video 7 here
These will help or buy a book / use web resources.
PART2.
If you have to bodge it because you can't get the ODBC database to use triggers/data macros to log a history you could store a history yourself like this.... BUT you have to do it EVERY day.
0 On day 1 take a full copy of the ODBC data as YOURTABLE. Add a field "dump Number" and set it all to 1.
1. Link to the ODBC data every day.
join from YOURTABLE to the ODBC table and find any records that have changed (ie test just the fields you want to monitor and if any of them have changed...).
Append these changed records to YOURTABLE with a new value for "dump number of 2" This MUST always increment!
You can now write SQL to get the most recent record for each primary key.
SELECT *
FROM Mytable
WHERE
(
SELECT PrimaryKeyFields, MAX(DumpNumber) AS MAXDumpNumber
FROM Mytable
GROUP BY PrimaryKeyFields
) AS T1
ON t1.PrimaryKeyFields = Mytable.PrimaryKeyFields
AND t1.MAXDumpNumber= Mytable.DumpNumber
You can compare the most recent records with any previous records.
ie to get the previous dump
Note that this will NOT work in the abvoe SQL (unless you always keep every record!)
AND t1.MAXDumpNumber-1 = Mytable.DumpNumber
Use something like this to get the previous row:
SELECT *
FROM Mytable
INNER JOIN
(
SELECT PrimaryKeyFields
, MAX(DumpNumber) AS MAXDumpNumber
FROM Mytable
INNER JOIN
(
SELECT PrimaryKeyFields
, MAX(DumpNumber) AS MAXDumpNumber
FROM Mytable
GROUP BY PrimaryKeyFields
) AS TabLatest
ON TabLatest.PrimaryKeyFields = Mytable.PrimaryKeyFields
AND
TabLatest.MAXDumpNumber <> Mytable.DumpNumber
-- Note that the <> is VERY important
GROUP BY PrimaryKeyFields
) AS T1
ON t1.PrimaryKeyFields = Mytable.PrimaryKeyFields
AND t1.MAXDumpNumber= Mytable.DumpNumber
Create 4 and 5 and MS Access named queries (or SS views) and then treate them like tables to do comparison.
Make sure you have indexes created on the PK fields and the DumpNumber and they shoudl be unique - this will speed things up....
Finish it in time for christmas... and flag this as an answer!
I'm having a little trouble. I need to calculate the difference between some values that are stored in different columns and in different rows in an Access 2013 database. What I need to do is identify on a report if there are any gaps between the "Metered After" column of one row and the "Metered Before" column of the next row. I thought I might be able to do this in the query, but the example shown in this so post uses the 'lead' function which I have not been able to get to work in Access 2013. Can this be done in an Access query or is it better left to VBA? An example of the report is shown below.
You need to do this in a query.
If the above table is named Tab it will be something like this
SELECT Tab1.*
, TabBefore.[Metered Before]
, Tab1. TabBefore.[Metered After] - TabBefore.[Metered Before] AS Diff
FROM Tab AS Tab1
LEFT JOIN Tab AS TabBefore
ON Tab1.[Vehicle number] = TabBefore.[Vehicle number]
Hopefully this will make sense and you can take it from here.