I have the following table on SQL:
Category | Requests
Cat1 | 150
Cat2 | 200
Cat3 | 550
Cat4 | 100
Cat5 | 50
SUM | 1050
How can create an expression to calculate the percentage of Cat5 compared to the total? (4.7% in this case).
Try this:
=Lookup("Cat5",Fields!Category.Value,Fields!Requests.Value,"DataSetName")/
Sum(Fields!Requests.Value,"DataSetName")
Replace "DataSetName" by the actual name of your dataset.
Assuming you want 150 to represent 150% within the rdl you can do the following:
first apply the following formula: =Fields!field.Value/100
Where Fields!field.Value is the field you want to convert to percentage so if your field is called Requests then you will have =Fields!Requests.Value/100
Then you need to change the type of the textbox to be percentage from the TextboxProperties
you should get a result like this:
Related
I have a table like this:
values
frequencies
grpng
2
1
cat1
3
2
cat1
4
1
cat1
2
2
cat2
1
1
cat2
5
2
cat2
I want to generate the standard deviation (population sd) per group (cat1, cat2)
not with a window function but by grouping wrt to the grpng variable.
I see two options:
Expand the values using the frequencies and then use the standard sql sd dev function.
Directly group and get the sd dev manually if possible.
Can you suggest a solution? For the first option I am not able to find a function to expand in Impala.
My desired outcome is:
sddev
grpng
0.70710678118655
cat1
1.6733200530682
cat2
Let's say that for the dimension country I have 4 values and for each of the 4 I have the respective number of Sessions. E.g.
+---------+----------+
| country | Sessions |
+---------+----------+
| Italy | 10 |
| France | 12 |
| Germany | 14 |
| Spain | 16 |
+---------+----------+
I want to compute and output in a scorecard the average number of Sessions, only for those specific countries. So, in the example, the output should be 13.
I tried with the following calculated field but it doesn't work:
Sessions * AVG(CASE
WHEN REGEXP_MATCH(country, '^Italy|France|Germany|Spain.*') THEN 1
ELSE 0 END)
Create a filter based on the country dimension using the Matching RegEx operator.
Then apply this to a scorecard with the metric sessions. In the Data tab on the right hand side, you should be able to click on a little pencil icon for the metric, and choose the aggregation method as average instead of sum.
You may not have this option if you're using the GA connector. In this case, there should be an Average Session metric in the data source.
One way it can be achieved is by using a Filter Control and a Calculated Field:
1) Filter Control
Add the component with the Dimension set to Country and then add a Default Selection (a comma separated list of the required countries):
Italy, France, Germany, Spain
2) Calculated Field (Scorecard)
Sessions / COUNT_DISTINCT(Country)
Google Data Studio Report and a GIF to elaborate:
I want to use the same labels from a SQLAlchemy table, to re-aggregate some data (e.g. I want to iterate through mytable.c to get the column names exactly).
I have some spending data that looks like the following:
| name | region | date | spending |
| John | A | .... | 123 |
| Jack | A | .... | 20 |
| Jill | B | .... | 240 |
I'm then passing it to an existing function we have, that aggregates spending over 2 periods (using a case statement) and groups by region:
grouped table:
| Region | Total (this period) | Total (last period) |
| A | 3048 | 1034 |
| B | 2058 | 900 |
The function returns a SQLAlchemy query object that I can then use subquery() on to re-query e.g.:
subquery = get_aggregated_data(original_table)
region_A_results = session.query(subquery).filter(subquery.c.region = 'A')
I want to then re-aggregate this subquery (summing every column that can be summed, replacing the region column with a string 'other'.
The problem is, if I iterate through subquery.c, I get labels that look like:
anon_1.region
anon_1.sum_this_period
anon_1.sum_last_period
Is there a way to get the textual label from a set of column objects, without the anon_1. prefix? Especially since I feel that the prefix may change depending on how SQLAlchemy decides to generate the query.
Split the name string and take the second part, and if you want to prepare for the chance that the name is not prefixed by the table name, put the code in a try - except block:
for col in subquery.c:
try:
print(col.name.split('.')[1])
except IndexError:
print(col.name)
Also, the result proxy (region_A_results) has a method keys which returns an a list of column names. Again, if you don't need the table names, you can easily get rid of them.
I'd really appreciate some help with Report Builder. As seen below, I have a report that shows the number of items. In my SQL query I have used a CASE statement to tag some of the items with a y or a n.
What I want to do is add a calculated cell that sums all the values of the items tagged with y and divide by the total and * 100 to find the percent of the rows tagged y of the total amount.
Answer looking for is -
Apple | Y | 100
Pear | Y | 200
Orange| N | 500
Total | 800
Percent of Ys = 37.5% (100+200/800*100)
I'm new to report builder so please let me know if this doesn't make sense.
Many thanks.
You could add two more columns to your query, using similar logic as your CASE statement for the Y/N column. The first column is populated with the value only when the condition for "Y" is true, otherwise it is zero. The second column is populated with the value only when the condition for "N" is true, otherwise it is zero. This would give you a result set similar to this:
All Y N
Apple | Y | 100 | 100 | 0
Pear | Y | 200 | 200 | 0
Orange| N | 500 | 0 | 500
Total | 800 | 300 | 500
Then your calculation is something like this:
Percent of Ys = (Sum(Y) / Sum(All)) * 100
i.e.
Percent of Ys = (300 / 800) * 100 = 37.5%
I have a matrix in microsoft reports. It looks:
Product | Sold
apple | 1000
melon | 200
banana | 500
orange | 2000
sum(without orange) | x
sum | 3700
How to write expression in vba to sum all values without orange? Number of rows with fruits can be different so i cant use static index to identify product
=sum(IIf(Fields!Product.Value<>"orange", Fields!Sold.Value, 0))