Amazon QuickSight - Display number - amazon-web-services

I am trying Amazon Quicksight but I don't understand if this is possible.
I should display a number that is calculated:
[(a-b) / c]
a - is chosen from a list of data in the column A
b - is the mean of the column B
c - is the mean of the column C
it's possible?
Thanks

Where a differs depending on the row in column A? I don't think this is possible as you are writing a formula using both aggregated fields (mean of b or c) and a non-aggregated field (a).
I tried the formula with both and got the following error (using the avg function):
Mismatched aggregation. Custom aggregations can’t contain both
aggregate "AVG" and non-aggregated fields “AVG("ColumnId-2")”, in
any combination.

#Occamatic is right about inability to use both aggregated fields and a non-aggregated field in your formula.
However, you can circumvent this by using 'a' in an aggregated function in your calculated field. Example:
( sumIf({a},{a}={a}) - b ) / c
Please amend to the specifics to your dashboard, possibly with use of parameters in ifelse statements, but a version of this should work.
For instance, I myself can't use:
ifelse({metric_type}='Averages',avg({metric_value}),sum({metric_value}))
Instead I use:
ifelse(avgIf({metric_value},{metric_type}='Averages') > 0,avg({metric_value}),sum({metric_value}))

Related

How to use sum or sumif in an "ifelse" aggregation

I am using Amazon QuickSight and having troubles calculating a field in a table. I need to use an "ifelse" aggregation where the "if" and "else" are sums of other fields in the table. I keep getting the following error and don't understand how to correct it:
mismatched aggregation, custom aggregations cant contain both aggregate SUM and non - aggregated fields
Code example:
ifelse(
({calculated field} = "Won"),(sumIf({amount},(({field}="Won"))
))
,({calculated field} = "Not Final"),({sum_amount_2})
,1
)

Unable to divide two column in quicksight

I have made two calculated field in my quicksight anaysis - 'Correct Prediction' and 'Total Count'
Formulas used for above two calculated are -
Correct Prediction = ifelse({best_exp_rank} <= 15,1,0)
Total Count = count({best_exp_rank})
Now I made a pivot table and kept the above columns as values(Correct Prediction(Sum), Total Count(custom)).
When I'm trying to make a third column which is (Correct Prediction/Total Count) as a calculated field.
I face the following error.
mismatched aggregation. custom aggregations can’t contain both
aggregate "count" and non-aggregated fields
“count("best_exp_rank")”, in any combination.
Can anyone please help me with this problem? Please comment if you need any extra information
Add a calculated field like -
(sum({Correct Prediction}) / {Total Count}) * 100

Power BI Dashboard where the core filter condition is a disjunction on numeric fields

We are trying to implement a dashboard that displays various tables, metrics and a map where the dataset is a list of customers. The primary filter condition is the disjunction of two numeric fields. We want to the user to be able to select a threshold for [field 1] and a separate threshold for [field 2] and then impose the condition [field 1] >= <threshold> OR [field 2] >= <threshold>.
After that, we want to also allow various other interactive slicers so the user can restrict the data further, e.g. by country or account manager.
Power BI naturally imposes AND between all filters and doesn't have a neat way to specify OR. Can you suggest a way to define a calculation using the two numeric fields that is then applied as a filter within the same interactive dashboard screen? Alternatively, is there a way to first prompt the user for the two threshold values before the dashboard is displayed -- so when they click Submit on that parameter-setting screen they are then taken to the main dashboard screen with the disjunction already applied?
Added in response to a comment:
The data can be quite simple: no complexity there. The complexity is in getting the user interface to enable a disjunction.
Suppose the data was a list of customers with customer id, country, gender, total value of transactions in the last 12 months, and number of purchases in last 12 months. I want the end-user (with no technical skills) to specify a minimum threshold for total value (e.g. $1,000) and number of purchases (e.g. 10) and then restrict the data set to those where total value of transactions in the last 12 months > $1,000 OR number of purchases in last 12 months > 10.
After doing that, I want to allow the user to see the data set on a dashboard (e.g. with a table and a graph) and from there select other filters (e.g. gender=male, country=Australia).
The key here is to create separate parameter tables and combine conditions using a measure.
Suppose we have the following Sales table:
Customer Value Number
-----------------------
A 568 2
B 2451 12
C 1352 9
D 876 6
E 993 11
F 2208 20
G 1612 4
Then we'll create two new tables to use as parameters. You could do a calculated table like
Number = VALUES(Sales[Number])
Or something more complex like
Value = GENERATESERIES(0, ROUNDUP(MAX(Sales[Value]),-2), ROUNDUP(MAX(Sales[Value]),-2)/10)
Or define the table manually using Enter Data or some other way.
In any case, once you have these tables, name their columns what you want (I used MinNumber and MinValue) and write your filtering measure
Filter = IF(MAX(Sales[Number]) > MIN(Number[MinCount]) ||
MAX(Sales[Value]) > MIN('Value'[MinValue]),
1, 0)
Then put your Filter measure as a visual level filter where Filter is not 0 and use MinCount and MinValues column as slicers.
If you select 10 for MinCount and 1000 for MinValue then your table should look like this:
Notice that E and G only exceed one of the thresholds and tha A and D are excluded.
To my knowledge, there is no such built-in slicer feature in Power BI at the time being. There is however a suggestion in the Power BI forum that requests a functionality like this. If you'd be willing to use the Power Query Editor, it's easy to obtain the values you're looking for, but only for hard-coded values for your limits or thresh-holds.
Let me show you how for a synthetic dataset that should fit the structure of your description:
Dataset:
CustomerID,Country,Gender,TransactionValue12,NPurchases12
51,USA,M,3516,1
58,USA,M,3308,12
57,USA,M,7360,19
54,USA,M,2052,6
51,USA,M,4889,5
57,USA,M,4746,6
50,USA,M,3803,3
58,USA,M,4113,24
57,USA,M,7421,17
58,USA,M,1774,24
50,USA,F,8984,5
52,USA,F,1436,22
52,USA,F,2137,9
58,USA,F,9933,25
50,Canada,F,7050,16
56,Canada,F,7202,5
54,Canada,F,2096,19
59,Canada,F,4639,9
58,Canada,F,5724,25
56,Canada,F,4885,5
57,Canada,F,6212,4
54,Canada,F,5016,16
55,Canada,F,7340,21
60,Canada,F,7883,6
55,Canada,M,5884,12
60,UK,M,2328,12
52,UK,M,7826,1
58,UK,M,2542,11
56,UK,M,9304,3
54,UK,M,3685,16
58,UK,M,6440,16
50,UK,M,2469,13
57,UK,M,7827,6
Desktop table:
Here you see an Input table and a subset table using two Slicers. If the forum suggestion gets implemented, it should hopefully be easy to change a subset like below to an "OR" scenario:
Transaction Value > 1000 OR Number or purchases > 10 using Power Query:
If you use Edit Queries > Advanced filter you can set it up like this:
The last step under Applied Steps will then contain this formula:
= Table.SelectRows(#"Changed Type2", each [NPurchases12] > 10 or [TransactionValue12] > 1000
Now your original Input table will look like this:
Now, if only we were able to replace the hardcoded 10 and 1000 with a dynamic value, for example from a slicer, we would be fine! But no...
I know this is not what you were looking for, but it was the best 'negative answer' I could find. I guess I'm hoping for a better solution just as much as you are!

Sum values in one column of all rows which match one or more of multiple criteria

I have some table data in which I'd like to sum all the values in a specific column of all rows where column A contains string A and/or column B contains string B. How can I achieve this?
This works for one criterium:
=SUM(FILTER(G:G,REGEXMATCH(F:F,"stringA")))
I tried this, but it didn't work:
=SUM(FILTER(G:G,OR(ISTEXT(REGEXMATCH(F:F,"stringA")),ISTEXT(REGEXMATCH(C:C,"stringB")))))
Please try:
=SUM(FILTER(G:G,REGEXMATCH(F:F,"stringA")+REGEXMATCH(C:C,"stringB")))
+ works for or logic. ISTEXT is not needed because REGEXMATCH gives true or false.
OR does not work because filter is an arrayformula, use + in array formulas.
=SUM(FILTER(G:G,REGEXMATCH(F:F&C:C,"stringA|stringB")))
OR is denoted by |
EDIT Added &C:C to denote different Columns

A simple order_by() query

I have a table with columns, a, b, c, d, e.
Each column is given a random numerical value.
I can then order by that numerical value.
query_results = UserProfile.objects.all().order_by('a')
What i want is the ability to order by the sum of 2 or 3 or even 5 columns. But i cant figure out how to do it lightly.
My answer so far has been some what convoluted. I add an extra column x.
cursor.execute("UPDATE mysite_userprofile SET x = a+b;")
I then order by x. I have to update the column x each time i want different columns added together.
This is not the way to do it i know. i know order_by('a+b') doesn't work but is their another solution just as simple. I looked on django's site but couldn't find anything
The best way is to use extra
UserProfile.objects.extra(
select={'sum_of_fields': 'a + b + c + d + e'},
order_by=('sum_of_fields',)
)
I think you can order the result in the SQL query. Before you run the SQL query, when you select the columns, you can build the query string in the background.