I have created a report with Data Studio taking values from GA and I have defined a table with several data like age, sex, hour, total users and transaccions.
At the end of the table it shows the total of transactions which are 8 and this data is correct. But If I seek this transactions in the table I only found 2.
Here you can see the table ordered by transactions and you can see how there is only 2.
And these are the sources of the data of the table:
Am I doing something wrong? How can I get the eight transactions in their own column?
Edit I:
The table are ordered descendent by the column "Transactions" (Transacciones) so all the transactions are showed in the first rows. In this case, we've got only 2 transactions.
In string 'Total' Data Studio shows Total not for your split, but just Total (Yes, it's strange). Test it in this way: create a new widget contains only 'Users' or 'Transactions'. You will see that number is the same as in your table in 'Total'.
You have 10 per page, change this view to match the total number of records. The reminder are likely on following pages
Related
I have a database created with SQLiteStudio that has a products table with two columns, item and price. It also has a sales table with an item column that is linked to the item column in products. I'd like the sales table to also have a price column, whose value is automatically set to that of the products.price row corresponding to the value selected from the products.item column. How would I define the sales.price column so that this value is automatically set?
Also, the prices in the products table may be changed from time to time, but the price listed in any existing sales records must not be updated when this is done.
SQLite has generated columns (also called expression columns) that are found in other DBMSes. But you'll need a fairly recent version of SQLite:
Generated column support was added with SQLite version 3.31.0
(2020-01-22). If an earlier version of SQLite attempts to read a
database file that contains a generated column in its schema, then
that earlier version will perceive the generated column syntax as an
error and will report that the database schema is corrupt.
Source: Generated Columns
You could simply build a view to augment your table a little bit.
You have mentioned that the prices will change over time and this is perfectly normal. So you have at least two design choices:
add an additional table to store price history, in that table you store product ID, price, start date and end date (as an example). Then you join it with the other tables. The effective price shall be determined based on the order date. That also means that the prices are to be stored in that table and not in products... you have to redesign your schema slightly.
the other option is to store the unit price of the product in the sales table as a historical value. This is the price that was in force when the sale was made.
One thing to consider: you may require more flexibility on pricing: it can depend on the client (different rates based on volume) and also on specific circumstances. The final price may be the result of numerous and complex calculations.
I am struggling in the creation of a report including four tables.
Those tables should be the same for each account. I use just one dataset. When I run the report, the data is good, but tables listing appears wrong.
First all BALANCE DETAIL tables for all accounts selected are listed, then all DEBIT TRANSACTION tables for all accounts selected are listed etc.
For each account the page should show up just like this
Please give me an easy-to-understand answer since I am really a beginner in this sector.
It might be easier to this with 5 separate datasets, but I think you can do it with just on also.
Create on 'main' table on the dataset. use 4 detail rows, 1 column
Group it on accountnumber
In each detail of the main table, insert a new table with the same dataset.
Group those sub-tables also on accountnumber
Add a filter to the subtables. set the subtable accountnumber equal to the outer table account number (you can use the expression builder, but it should read something like this: row['ponum'] equals row._outer["ponum"] )
Good luck!
I have a list of unique customers who have made transactions over a year (Jan – Dec). They have bought products using 3 different methods (card, cash, check). My goal is to build a multi-classification model to predict the method pf payment.
To do this I am engineering some Recency and Frequency features into my training data, but am having trouble with the following frequency count because the only way I know how to do it is in Excel using the Countifs and SUMIFs functions, which are inhibitingly slow. If someone can help and/or suggest another solution, it would be very much appreciated:
So I have a data set with 3 columns (Customer ID, Purchase Date, and Payment Type) that is sorted by Purchase Date then Customer ID. How do I then get a prior frequency count of payment type by date that does not include the count of the current row transaction or any future transactions that are > the Purchase Date. So basically I want to do a running count of each payment option, based on a unique Customer ID, and a date range that is < purchase date of that training row. In my head I see it as “crawling” backwards through the transactions and counting. Simplified screenshot of data frame is below with the 3 prior count columns I am looking to generate programmatically.
Screenshot
This gives you the answer as a list of CustomerID, PurchaseDate, PaymentMethod and prior counts
SELECT CustomerID, PurchaseDate, PaymentMethod,
(
select count(CustomerID) from History T
where
T.CustomerID=History.CustomerID
and T.PaymentMethod=History.PaymentMethod
and T.PurchaseDate<History.PurchaseDate
)
AS PriorCount
FROM History;
You can save this query and use it as the source for a crosstab query to get the columnar format you want
Some notes:
I assumed "History" as the source table name - you can change the query above to use the correct source
To use this as a query, open a new query in design view. Close the window that asks what tables the query is to be built on. Open the SQL view of the query design - like design view, but it shows the SQL instead of the normal design interface. Copy the above into the SQL view.
You should now be able to switch to datasheet view and see the results
When the query is working to your satisfaction, save it with any appropriate name
Open a new query in design view
When you get the list of tables to include, switch to the list of queries and include the query you just saved
Change the query type to crosstab and update the query as needed to select rows, columns and values - look up "access crosstab queries" if you need more help.
Another tip to see what is happening here:
You can take the subquery - the parts inside the () above - and make
just that statement into it's own query, excluding the opening and closing (). Then you can look at it's design view to see what it does
Save it with an appropriate name and put it into the query above in place of the statement in () - then you can look at the design view.
Sometimes it's easier to visualize and learn from 2 queries strung together this way than to work with sub queries.
I have a report that is based on a query of diagnoses (for example diabetes). The report returns a list of patients with that diagnosis. The problem is if john Q has diabetes xyz and diabetes 123, so if I run the report to give me a list of everyone with diabetes it will retun his name twice. I really don't want to change the particular query that this based on, I just want distinct name in the report. Is there a way to use distinct for a report or any other way of limiting the names to just once in the report? Or am I going to have to write a distinct query just for this report?
either edit the query by changing SELECT to
SELECT DISTINCT
or set the report to use grouping, you can Group by Name (or more likely, by a patient ID so two people with the same name don't get combined) - it's as described here
if you exclude listing the types of diabetes you will get each person on one line, if you include the types of diabetes you will get each person's details used as a heading with the types of diabetes indented
If the report already exists you can edit it by using the Grouping and Sorting option https://support.office.com/en-za/article/Create-a-grouped-or-summary-report-6a58e9ab-9f74-4689-83b6-c63cddb2c7f9?ui=en-US&rs=en-ZA&ad=ZA#__migbm_0
I've generated a simple access report that is used for purchasing.
Basically, there are two tables, one for purchase orders, and one for the items on the purchase orders.
For the items on an order, I store the item details, quantity ordered, quantity delivered, and price per unit. (plus a few other fields which aren't relevant in the context of this question).
I'm generating a report to list all outstanding items still on order, and the report has a calculated field showing the outstanding quantity * cost per item. This works perfectly fine.
What I'm struggling with, is showing a sum of this calculated field (i.e. a total cost of all outstanding items), but when I try to add a total to the column, it only gives me the option of adding an item count for the column. The column is a 'Currency' field.
What might I be doing wrong, or am I expecting too much from access?
Resolved. I created the only option that the GUI would allow (item count), then modified the query from:
=Count(*)
to
=Sum([Quantity]*[Cost])
Works perfectly.