I have a table with quarterly volume data, and a slicer that allows you to choose what quarter/year you want to see volume per code for. The slicer has 2019Q1 through 2021Q4 selections. I need to create dynamic difference column that will adjust depending on what quarter/year is selected in the slicer. I know I need to create a new measure using Calculate/filter but am a beginner in PowerBI and am unsure how to write that formula.
Example of raw table data:
Code
2019Q1
2019Q2
2019Q3
2019Q
2020Q1
2020Q2
2020Q3
2020Q4
11111
232
283
289
19
222
283
289
19
22222
117
481
231
31
232
286
2
19
11111
232
397
94
444
232
553
0
188
22222
117
411
15
14
232
283
25
189
Example if 2019Q1 and 2020Q1 are selected:
Code
2019Q1
2020Q1
Difference
11111
232
222
10
22222
117
481
-364
11111
232
397
-165
22222
117
411
-294
Power BI doesn't work that way. This is an Excel pivot table setup. You don't have any parameter to distinguish first and third or second and fourth row. They have the same code, so Power BI will aggregate their volumes. You could introduce a hidden index column but then why don't you simply stick to Excel? The Power BI approch to the problem would be to unpivot (stack) your table to a Code, Quarter and a Volume column, create 2 independent slicer tables for Minuend and Subtrahend and then CALCULATE your aggregated differences based on the SELECTEDVALUE of the 2 slicers.
Related
new to learning sql/postgresql and have been hunting all over looking for help with a query to find only the matching id values in a table so i can pull data from another table for a learning project. I have been trying to use the count command, which doesn't seem right, and struggling with group by.
here is my table
id acct_num sales_tot cust_id date_of_purchase
1 9001 1106.10 116 12-Jan-00
2 9002 645.22 125 13-Jan-00
3 9003 1096.18 137 14-Jan-00
4 9004 1482.16 118 15-Jan-00
5 9005 1132.88 141 16-Jan-00
6 9006 482.16 137 17-Jan-00
7 9007 1748.65 147 18-Jan-00
8 9008 3206.29 122 19-Jan-00
9 9009 1184.16 115 20-Jan-00
10 9010 2198.25 133 21-Jan-00
11 9011 769.22 141 22-Jan-00
12 9012 2639.17 117 23-Jan-00
13 9013 546.12 122 24-Jan-00
14 9014 3149.18 116 25-Jan-00
trying to write a simple query to only find matching customer id's, and export them to the query window.
I have got an OLAP cube that has purchased per date, per vendor and some other dimensions.
Below a sample of the data. The vendor is identified by the unique id VendorID:
Date CCID GLID CatID VendorID Amount
31-3-2012 659 55 25 807 124.5
14-5-2012 425 74 1 1452 371.53
1-4-2012 353 55 106 1648 26.79
2-7-2012 339 78 25 1275 1208
8-7-2012 460 66 41 4311 763.25
The vendor itself has a score with values 1-good, 2-average, 3-poor, 4-unattended. These scores vary over time.
Example for vendor 807:
VendorID VendorIDDate Score
807 1-1-2012 4-unattended
807 27-2-2013 2-average
807 1-4-2014 3-poor
807 31-12-2014 1-good
Now when I start a query I would like to count the number of vendors per Score for a specific slicer on GLID, CCID and CatID on a certain date.
What is the best way to model this?
I know I can add the score to the basic fact table using a look-up for each date, but I assume there is a much better way.
I want to create a calculated measure that shows Max(Sales Year 2012, Sales Year 2013) for particular set of product. can we do this using the calculate function?
Prod 2010 2011 2012 2013
A 280 152 251 387
B 115 381 207 304
C 265 138 394 210
D 483 135 145 464
E 304 134 193 342
Sure, that's one of the benefits of using CALCULATE!
Here is the formula for MAX sales in 2013:
CALCULATE([SalesSum],Sales_New[Year] = 2013)
[SalesSum] represent just a sum of all sales and to make things a bit more organized, it's formula is very simple: SUM(Sales_New[Sales]).
Sales_New[Year] is the name of the column that includes years (see below for more details).
For 2012, simply change the filter in the second argument:
CALCULATE([SalesSum],Sales_New[Year] = 2012)
One important thing though -- I needed to transform your source data so that I can do all calculation need. I named the table Sales_new. Attached screenshot should explain everything.
Given two tables:
1st Table Name: FACETS_Business_NPI_Provider
Buss_ID NPI Bussiness_Desc
11 222 Eleven 222
12 223 Twelve 223
13 224 Thirteen 224
14 225 Fourteen 225
11 226 Eleven 226
12 227 Tweleve 227
12 228 Tweleve 228
2nd Table : FACETS_PROVIDERs_Practitioners
NPI PRAC_NO PROV_NAME PRAC_NAME
222 943 P222 PR943
222 942 P222 PR942
223 931 P223 PR931
224 932 P224 PR932
224 933 P224 PR933
226 950 P226 PR950
227 951 P227 PR951
228 952 P228 PR952
228 953 P228 PR953
With below query I'm getting following results whereas it is expected to have the provider counts from table FACETS_Business_NPI_Provider (i.e. 3 instead of 4 for Buss_Id 12 and 2 instead of 3 for Buss_Id 11, etc).
SELECT BP.Buss_ID,
COUNT(BP.NPI) PROVIDER_COUNT,
COUNT(PP.PRAC_NO)PRACTITIONER_COUNT
FROM FACETS_Business_NPI_Provider BP
LEFT JOIN FACETS_PROVIDERs_Practitioners PP
ON PP.NOI=BP.NPI
group by BP.Buss_ID
Buss_ID PROVIDER_COUNT PRACTITIONER_COUNT
11 3 3
12 4 4
13 2 2
14 1 0
If I understood it correctly, you might want to add a DISTINCT clause to the columns.
Here is an SQL Fiddle, which we can probably use to discuss further.
http://sqlfiddle.com/#!2/d9a0e6/3
I have the following excel file:
W1000x554 1032 408 52.1 29.5 70700 12300
W1000x539 1030 407 51.1 28.4 68700 12000
W1000x483 1020 404 46 25.4 61500 10700
W1000x443 1012 402 41.9 23.6 56400 9670
W1000x412 1008 402 40 21.1 52500 9100
W1000x371 1000 400 36.1 19 47300 8140
W1000x321 990 400 31 16.5 40900 6960
W1000x296 982 400 27.1 16.5 37800 6200
W1000x584 1056 314 64 36.1 74500 12500
I want to define a function that can ask the user for one of the first column's names and then read all the relevant data of that row later.
For example if the user defines W1000x412 then read : 1008 402 40 21.1 52500 9100.
Any ideas?
I suspect what #Marc means is that a formula such as in J2 below (copied across and down as necessary) will 'pick out' the values you want. It is not clear to me from your question whether these should be kept separate (as in Row2 of example) or strung together (CONCATENATE [&] as in J7 of example, where these are space [" "] delimited):
I am also not entirely sure about your 'define a function' but have assumed you do not require a UDF.
I have used Row1 to provide the offset for VLOOKUP, to save adjusting manually the formula for each column.
ColumnI is the expected user input, that might be best by selection from a Data Validation List with Source $A$2:$A$10.