I have the following code to count days:
count_days:
DATEDIFF('day',LOOKUP(ATTR([visit_day]),-1),ATTR([visit_day])
and the outcome is the following:
customer_id | visit_day | count_days
customer 1 | 1/1/2016 |
customer 2 | 1/3/2016 | 2
customer 2 | 1/15/2016 | 12
customer 3 | 2/1/2016 | 16
customer 3 | 2/5/2016 | 4
I'm trying to write another function that fires the previous function only by customer, so the first day of one customer is not subtracted by the last day of the previous customer. The outcome should look like this:
customer_id | visit_day | count_days
customer 1 | 1/1/2016 |
customer 2 | 1/3/2016 |
customer 2 | 1/15/2016 | 12
customer 3 | 2/1/2016 |
customer 3 | 2/5/2016 | 4
I have tried this code so far:
IF ATTR([customer_id]) != ATTR([customer_id])
THEN
NULL
ELSE
[count_days]
END
Any thoughts about this code to make it work?
You are very close. You can alter your calculated field like so:
IF LOOKUP(ATTR([Customer Id]),-1) = ATTR([Customer Id]) THEN
DATEDIFF("day",LOOKUP(ATTR([Visit Day]),-1),ATTR([Visit Day]))
END
It will render this result:
Related
Good day! I have a sample employee table like the one below. I need a DAX formula in Power BI to create a measure to count the number of direct reports of each employee. For Example, the Direct Report count of GL0001 will be 2 (Because GL0001 is the line manager of GL0002 and GL0019 and they report to GL0001), the Direct Report count of EMP-02023 will be 3, Direct Report count of GL0002 will be 3. Please help me also to create measures regarding the count of only one direct reporting and less than three direct reporting
| Employee ID | Line Manager ID | Layer (of Employee) | Layer (of Line Manager) |
|--------------|-------------------|----------------------|--------------------------|
| EMP-01980 | GL0003 | 4 | 3 |
| EMP-02023 | EMP-02015 | 6 | 5 |
| EMP-01636 | EMP-02015 | 6 | 5 |
| EMP-02138 | EMP-02162 | 6 | 5 |
| EMP-02145 | EMP-01980 | 5 | 4 |
| GL0023 | GL0022 | 5 | 4 |
| GL0001 | | 1 | 0 |
| GL0002 | GL0001 | 2 | 1 |
| GL0003 | GL0002 | 3 | 2 |
| GL0019 | GL0001 | 2 | 1 |
| GL0020 | GL0002 | 3 | 2 |
| GL0024 | GL0002 | 3 | 2 |
| EMP-01918 | EMP-00791 | 9 | 8 |
| EMP-01941 | EMP-00791 | 9 | 8 |
| EMP-02019 | EMP-02156 | 8 | 7 |
| EMP-02024 | EMP-02023 | 7 | 6 |
| EMP-02025 | EMP-02023 | 7 | 6 |
| EMP-03001 | EMP-02023 | 7 | 6 |
Your data doesn't have all the Employee ID for each Line Manager ID. That means the PATH calculation would not work.
I've assumed your data looks like this
Employee ID
Line Manager ID
1000001
1000002
1000001
1000003
1000002
1000004
1000003
1000005
1000004
1000006
1000005
1000007
1000006
1000008
1000007
1000009
1000006
1000010
1000003
Creating Calculated columns you can calculate the PATH and the PATH SIZE
Path
Path = path('Table'[Employee ID],'Table'[Line Manager ID])
Path Size
Path Length = PATHLENGTH([Path])
Output
Edit
In that case, you can use the Line Manager ID column to count direct reports, measure below.
DAX: Calculated Column
CountDirectReport =
VAR EmpId = [Employee ID]
RETURN
CALCULATE (
COUNTROWS ( 'Table' ),
FILTER ( 'Table', [Line Manager ID] = EmpId )
)
Output
I have a dataset where I wish to reflect the totals from a custom SQL query I performed in Tableau. Here is some sample data:
1. I first performed a custom query that was a join, unpivot and placed my data into groups
Size Tb Val type Group Sum_AVG SKU Last_Refreshed
270 90.5 Free_Space_TB Group2 90.5 Excel 9/1/2020
270 179.5 Used Group2 179.5 Excel 9/1/2020
814 701 Free_Space_TB Group1 701 Gris 8/1/2020
814 112 Used Group1 112 Gris 8/1/2020
2. Then I aggregated the data by taking the sum of one group and the average of the other group (and final summed these groups values)
The data is being aggregated like this: (SUM_AVG)
zn(sum(if [Group]= 'Group1' then [Val] end))
+
zn(avg(if [Group] = 'Group2' then [Val] end))
The view looks like this
Here is the custom query output
Here is my view
The avail and used appear when I hover over, but how would I include the total?
This is the calculation I am using (thanks to help from a SO member):
{SUM({Fixed [type]: ZN(sum(if [Group]= 'Group1' then [Val] end))})
+
sum({Fixed [type]: zn(avg(if [Group] = 'Group2' then [Val] end))})}
I am doing something wrong, because it is totaling up across all the column(s), (I have more columns in the full dataset) when I just want the total for each column.
(Used was created from using a custom query)
Any assistance is appreciated.
In my opinion, this you can do without changing the underlying view. WINDOW_SUM is a table calculation and is always dependent on view/context generated. Therefore, I always prefer LOD calculations which do not depend on context.
I think you should proceed like this. As always I have changed the sample data to include sufficient details
Data used
| Id | Avail | group | used | Date |
|----|-------|--------|------|------------|
| A | 5 | Group1 | 5 | 20-01-2020 |
| A | 20 | Group1 | 20 | 20-01-2020 |
| B | 10 | Group2 | 10 | 20-01-2020 |
| B | 5 | Group2 | 5 | 20-01-2020 |
| B | 5 | Group2 | 5 | 20-01-2020 |
| A | 10 | Group1 | 10 | 20-01-2020 |
| A | 10 | Group1 | 10 | 20-01-2020 |
| B | 5 | Group2 | 5 | 20-01-2020 |
| B | 5 | Group2 | 5 | 20-01-2020 |
| A | 5 | Group1 | 5 | 20-02-2019 |
| A | 20 | Group1 | 20 | 20-02-2019 |
| B | 10 | Group2 | 10 | 20-02-2019 |
| B | 5 | Group2 | 5 | 20-02-2019 |
| B | 5 | Group2 | 5 | 20-02-2019 |
| A | 10 | Group1 | 10 | 20-02-2019 |
| A | 10 | Group1 | 10 | 20-02-2019 |
| B | 5 | Group2 | 5 | 20-02-2019 |
| B | 5 | Group2 | 5 | 20-02-2019 |
Step-1 Pivot generated in tableau as earlier.
Step-2 Calculated field sum-avg also generated as discussed.
step-3 View generated
Step-4 Add another field total
{FIXED [Date], [Group]: sum(
{FIXED [Date], [Group], [type]: zn(sum(if [Group]= 'Group1' then [val] end))}
+
{Fixed [Date], [Group], [type]: zn(avg(if [Group] = 'Group2' then [val] end))}
)}
Step-5 Add this field to details on marks card. See the GIF here
the code used in tooltip is mentioned below. Obviously, you can tweak it as per taste.
Under the <Group> , <AGG(Sum_Avg)> was <type> out of total <SUM(Total)> SKU on <YEAR(Date)>
This solution works:
1.Create a calculated field:
WINDOW_SUM([SUM_AVG])
2.Drag newly computed field to the view
3.Right click ‘Edit Table Calculation’
4.Specify and compute using [Last_Refreshed] and [type]
This will allow you to compute across cells, giving you your desired result
py which looks like below
class Scenes(models.Model):
name = models.CharField(max_length=30)
def __str__(self):
return self.name
class Tech(models.Model):
tech = models.CharField(max_length=30)
scenario = models.ManyToManyField('Scenes')
def __str__(self):
return self.tech
class UserLog(models.Model):
tech_id = models.ForeignKey(Tech, on_delete=models.CASCADE)
....#other fields
It generates one extra table called pages_tech_scenario (pages is my app name)
My populated tables in database (postgres) looks like below
pages_tech_scenario
id | tech_id | scenes_id
----+---------+-----------
1 | 1 | 1
4 | 2 | 1
5 | 2 | 2
6 | 2 | 3
7 | 2 | 4
8 | 2 | 5
9 | 3 | 3
10 | 4 | 1
11 | 4 | 2
12 | 4 | 3
pages_scenes
id | name
----+----------
1 | poweron
2 | poweroff
3 | sleep
4 | wakeup
5 | switch
pages_tech
id | tech
----+------
2 | CDMA
3 | GSM
4 | 5G
1 | LTE
pages_userlog
id | data_location | pc | username | target | data_type | description | status | submission_time | upload_now | string_submission_time | tech_id_id
----+------------------------------------------------------+---------+----------+--------+-----------+-------------+-------------+-----------------------+------------+------------------------+------------
39 | C:\My Files\testFolder | lab0128 | ananagra | SDX55 | crash | | In Progress | 2020_02_12_T_17_45_04 | f | | 2
19 | C:\My Files\testFolder | lab0034 | sujaraj | SDX55 | crash | | In Progress | 2020_02_12_T_15_46_59 | f | 111 | 1
Here, for pages_userlog first entry id=39 has tech_id_id is 2 which is equivalent to CDMA. While entering the form, I had selected one of the scenario (say sleep) field of CDMA (as CDMA points to all 5 scenarios, can be seen from pages_tech_scenario table).
How can I retrieve only sleep scenario from CDMA instead of all the scenarios its pointing to?.
How to get the id from pages_tech_scenario by specifying tech_id and scenes_id?.
You can name the field from UserLog:
tech = models.ForeignKey(Tech, on_delete=models.CASCADE)
This way you can reference the id by tech_id instead of tech_id_id
How can I retrieve only sleep scenario from CDMA instead of all the
scenarios its pointing to?.
UserLog.objects.get(pk=1).tech.scenario.get(name="sleep")
How to get the id from pages_tech_scenario by specifying tech_id and
scenes_id?.
Tech.scenario.through.objects.get(tech_id=tech_id, scenes_id=scenes_id).id
I am trying to merge two tables. table A has an id column, a date column, and an amount value for every date in a period
Table B has both id and date, but also other columns with details. However, there is only one entry any time there is a change in the details, so I do not know how to merge with normal joins. I want that for every entry in A, the details are populated as of the latest day available in B for that ID before the date in A.
Table A
| ID | date | amount |
| 1 | 01JAN| 56 |
| 1 | 02JAN| 54 |
| 1 | 03JAN| 23 |
| 1 | 04JAN| 43 |
Table B
| ID | date | details|
| 1 | 01JAN| x |
| 1 | 03JAN| y |
Wanted Output
Table A
| ID | date | amount | details |
| 1 | 01JAN| 56 | x |
| 1 | 02JAN| 54 | x |
| 1 | 03JAN| 23 | y |
| 1 | 04JAN| 43 | y |
for the jan2 entry, the latest available details as of that date is 'x', for jan3 it is y
Thank you in advance for any guidance you could provide
This will work for the question you have asked literally:
data want;
retain details_last;
merge table1 table2;
by ID date;
if not missing(details) then details_last = details;
else details = details_last;
drop details_last;
run;
But this will only work if your data meets the conditions that you have presented like the date ranges in table B should always fall within the date ranges in table A and not outside (i.e. only interpolation, no extrapolation).
I have two models :
class Actors(models.Model):
name = models.CharField(max_length=128)
...
class Movies(models.Model)
title = models.CharField(max_length=128)
casting = models.ManyToManyField("actors.Actors", related_name="casting")
...
I am looking for ordering actors by using the number of movies they played in.
Django autogenerated a table with actors_id and movies_id, named movies_movies_casting :
+-----+-----------+-----------+
| id | movies_id | actors_id |
+-----+-----------+-----------+
| 1 | 1 | 1 |
| 2 | 1 | 2 |
| 3 | 2 | 1 |
| 4 | 3 | 1 |
...
Here actor #1 played in movies #1, #2 and #3. And actor #2 played only in movie #1.
Here is the request used in MySQL to get what I want :
SELECT actors_id, COUNT(movies_id) as count FROM movies_movies_casting GROUP BY actors_id ORDER BY count;
The result is :
+-----------+-------+
| actors_id | count |
+-----------+-------+
| 15 | 29 | // actor #15 played in 29 movies
| 12 | 21 |
| 24 | 17 |
| 3 | 16 |
| 20 | 15 |
| 21 | 14 |
...
What is the request used in Django to get this result ?
Try this,
from django.db.models import Count
Movies.objects.values('casting'
).annotate(
count=Count('id')).order_by('-count')