I have a table that contains data about different benefit plans and users enrolled in one or more of those plans. So basically the table contains two columns representing the benefit plan counts and total users enrolled in those plans.
I need to create visualization in Power BI to represent the number of total users enrolled in 1 plan, 2 plans, 3 plans, ...etc.
I wrote the query in sql to get the desired result but not sure how do I do the same in power BI.
Below is my sql query:
SELECT S.PlanCount, COUNT(S.UserName) AS Participants
FROM (
SELECT A.Username, COUNT(*) AS PlanCount
FROM [dbo].[vw_BenefitsCount_Plan_Participants] AS A
GROUP BY A.username
)AS S
GROUP BY S.PlanCount
ORDER BY S.PlanCount
The query result is below image:
So here, PlanCount column represents the total different benefit plans that users are enrolled in. For e.g. the first row means that total of 6008 members are enrolled in only 1 plan, whereas row 2 displays that there are total of 3030 members who are enrolled in total of 2 plans and similarly row 5 means there are only 10 users who are enrolled in total of 6 plans.
I am new to Power BI and trying to understand DAX functions but couldn't find a reasonable example that could help me create my visualization.
I found a something similar here and here but they seem to be more towards single count and group by usage.
Here is a simple example. I have a table of home owners who have homes in multiple cities.
Now in this table, Alex, Dave and Julie have home in 1 city (basically we can say that these 3 people own just 1 home each). Similarly Jim owns a total of 2 homes and Bob and Pam each have 3 homes in total.
Now the output that I need is a table with total number of home owners that own 1 home, 2 homes and so on. So the resulting table in SQL is this.
Where NameCount is basically count of total home owners and Homes is the count of total homes these home owners have.
Please let me know if this helps.
Thanks.
If I understood fine, you have a table like this:
BenefitPlan | User
1 | Max
1 | Joe
2 | Max
3 | Anna
If it's ok, you can simply use a plot bar (for example) where the Axis is BenefitPlan and Value is User. When you drag some column in Value field, it will be grouped automaticaly (like group by in SQL), and by default the groupping method is count.
Hope it helps.
Regards.
You can use DAX to create a summary table from your data table:
https://community.powerbi.com/t5/Desktop/Creating-a-summary-table-out-of-existing-table-assistance/td-p/431485
Once you have counted plans by customer you will then have a field that will enable you to visualize the # of customers with each count.
Mock-up of the code:
PlanSummary = SUMMARIZE('vw_BenefitsCount_Plan_Participants',[Username],COUNT([PLAN_ID])
Related
I'm trying to write a query that calculates the average profit per employee for several projects.
I have a table that has employee names, what project they are working on, and how much profit they bring to their specific project each day.
My first query gives 3 fields - The project name, the sum of all the profits the employees bring to the project, and the number of employees in the project.
My second query I am trying to display 2 fields - the project name and the average profit per employee that each project makes
SELECT SAYSquery.ProjectName, SUM(SAYSquery.Profit) AS SumOfProfit, Count(SAYSquery.[EmpFirstName]) AS NumberOfEmps
FROM SAYSquery
WHERE profit > 0
GROUP BY SAYSquery.ProjectName;
SELECT SAYSqueryNIPE.[ProjectName], SAYSqueryNIPE.[SumOfProfit]/[NumberOfEmps] AS total
FROM SAYSqueryNIPE
GROUP BY SAYSqueryNIPE.[ProjectName], SAYSqueryNIPE.[SumOfProfit]/[NumberOfEmps];
Unfortunately, my second query is giving me the same average profit for every project and I'm not sure why. Any help would be much appreciated.
EDIT:
Query 1 reads:
**Employee Name | Sell Rate | Renumeration | Profit (Sell-Renumeration) | Project Name**
Query 2 reads:
**PROJECT NAME | SumofProfit | NumberofEmployees**
Project X | $1500 | 3 employees
Query 3 reads:
**PROJECT NAME | TOTAL**
Project X | $500 (Average profit per employee)
The problem is in your first query where you count the number of employees. As written in the question, you are returning a count of rows, not employees who worked on the project. You need to use count distinct. I'd also recommend not counting on EmpFirstName. If you have more than one employee with the same first name, the query won't give you correct results. It would be better to use a unique employee identifier instead of their first name.
SELECT SAYSquery.ProjectName, SUM(SAYSquery.Profit) AS SumOfProfit,
Count(distinct SAYSquery.[EmpFirstName]) AS NumberOfEmps
FROM SAYSquery
WHERE profit > 0
GROUP BY SAYSquery.ProjectName
You could wrap the whole thing up into a single query instead of two or three, as described in your question.
SELECT SAYSquery.ProjectName, SUM(SAYSquery.Profit)/Count(distinct SAYSquery.[EmpFirstName]) AS AvgProfitPerEmployee
FROM SAYSquery
WHERE profit > 0
GROUP BY SAYSquery.ProjectName
I have some horse data in a table and am practicing SQL while following my hobby. I would like to find an elegant way to solve this problem. Right now I have this convoluted way of getting the answer but I know there HAS to be an easier way.
Description:
I'll make it really simple (Assume these 8 rows are the entire table). I have a table with 4 columns. HORSE_ID, NAME, TRACK, Date
A horse might run at one track or many different tracks. The end goal is to find what only the horses who have ran/campaigned at only one specific track....in this case, I want to see the horses that have run all their races at SA (Santa Anita)
HORSE_ID NAME TRACK DATE
1 JUSTIFY SA FEB-2018
2 JUSTIFY PIM MAY-2018
3 JUSTIFY BEL JUN-2018
4 KANTHAKA SA DEC-2017
5 KANTHAKA SA JAN-2018
7 THREE RULES GP JUL-2016
8 DABSTER SA JAN-2018
So if I ran this query with this data, the only horses I would expect to see are KANTHAKA, and DABSTER because they are the only horses that only ran all their races at Santa Anita track. So say next month KANTHAKA ran at ANOTHER DIFFERENT track, then the next time the query was run, only DABSTER would show up.
Does this make sense?
Try using GROUP BY with HAVING:
SELECT NAME
FROM yourTable
GROUP BY NAME
HAVING MIN(TRACK) = MAX(TRACK);
Writing the HAVING clause as above is preferable to writing HAVING COUNT(DISTINCT TRACK) = 1. The reason for this is that the above query can make use of an index on (NAME, TRACK).
If in addition you wish to restrict to a single track, then we can try:
SELECT NAME
FROM yourTable
GROUP BY NAME
HAVING MIN(TRACK) = MAX(TRACK) AND MIN(TRACK) = 'SA';
You can do a subquery requesting the count of distinct tracks to be 1 using GROUP BY and HAVING COUNT DISTINCT and then select those WHERE the track is 'SA':
SELECT NAME
FROM
(SELECT NAME, MIN(TRACK) as TRACK
FROM HORSES
GROUP BY 1
HAVING COUNT (DISTINCT TRACK) = 1) horses_one_race
WHERE
TRACK = 'SA'
I have a question about updating multiple rows with different values in MS Access 2010.
Table 1: Food
ID | Favourite Food
1 | Apple
2 | Orange
3 | Pear
Table 2: New
ID | Favourite Food
1 | Watermelon
3 | Cherries
Right now, it looks deceptively simple to execute them separately (because this is just an example). But how would I execute a whole lot of them at the same time if I had, say, 500 rows to update out of 1000 records.
So what I want to do is to update the "Food" table based on the new values from the "New" table.
Would appreciate if anyone could give me some direction / syntax so that I can test it out on MS Access 2010. If this requires VBA, do provide some samples of how I should carry this out programmatically, not manually statement-by-statement.
Thank you!
ADDENDUM (REAL DATA)
Table: Competitors
Columns: CompetitorNo (PK), FirstName, LastName, Score, Ranking
query: FinalScore
Columns: CompetitorNo, Score, Ranking
Note - this query is a query of another query, which in turn, is a query of another query (could there be a potential problem here? There are at least 4 queries before this FinalScore query is derived. Should I post them?)
In the competitors table, all the columns except "Score" and "Ranking" are filled. We would need to take the values from the FinalScore query and insert them into the relevant competitor columns.
Addendum (Brief Explanation of Query)
Table: Competitors
Columns: CompetitorNo (PK), FirstName, LastName, Score, Ranking
Sample Data: AX1234, Simpson, Danny, <blank initially>, <blank initially>
Table: CompetitionRecord
Columns: EventNo (PK composite), CompetitorNo (PK composite), Timing, Bonus
Sample Data1: E01, AX1234, 14.4, 1
Sample Data2: E01, AB1938, 12.5, 0
Sample Data3: E01, BB1919, 13.0, 2
Event No specifies unique event ID
Timing measures the time taken to run 200 metres. The lesser, the better.
Bonus can be given in 3 values (0 - Disqualified, 1 - Normal, 2 - Exceptional). Competitors with Exceptional are given bonus points (5% off their timing).
Query: FinalScore
Columns: CompetitorNo (PK), Score, Ranking
Score is calculated by wins. For example, in the above event (E01), there are three competitors. The winner of the event is BB1919. Winners get 1 point. Losers don't get any points. Those that are disqualified do not receive any points as well.
This query lists the competitors and their cumulative scores (from a list of many events - E01, E02, E03 etc.) and calculates their ranking in the ranking column everytime the query is executed. (For example, a person who wins the most 200m events would be at the top of this list).
Now, I am required to update the Competitors table with this information. The query is rather complex - with all the grouping, summations, rankings and whatnots. Thus, I had to create multiple queries to achieve the end result.
How about:
UPDATE Food
INNER JOIN [New]
ON Food.ID=New.ID
SET Food.[Favourite Food] = New.[Favourite Food]
I need a setup in Access where some rows in a table are converted to columns...for example, lets say I have this table:
Team Employee DaysWorked
Sales John 23
Sales Mark 3
Sales James 5
And then through the use of a query/form/something else, I would like the following display:
Team John Mark James
Sales 23 3 5
This conversion of rows to columns would have to be dynamic as a team could have any number of Employees and the Employees could change etc. Could anyone please guide me on the best way to achieve this?
You want to create a CrossTab query. Here's the SQL that you can use.
TRANSFORM SUM(YourTable.DaysWorked) AS DaysWorked
SELECT YourTable.Team
FROM YourTable
GROUP BY YourTable.Team
PIVOT YourTable.Employee
Of course the output is slightly different in that the columns are in alphabetical order.
Team James John Mark
Sales 5 23 3
For more detail see Make summary data easier to read by using a crosstab query at office.microsoft.com
I want a table structure which can store the details of the student like the below format.
If the student is in
10 th standard -> I need his aggregate % from 1st standard to 9th standard.
5 th standard -> I need his aggregate % from 1st standard to 4th standard.
1 st standard -> No aggregate % has to be displayed.
And the most important thing is ' we need to use only one table'. Please form a table structure with no redundant values.
Any ideas will be greatly appreciated......
No friends this is not a home work. This is asked in Oracle interview, conducted in Hyderabad day before yesterday '24th July, 2010',. He asked me the table structure.
He even did not asked me the query. He asked me how I will design the table. Please advice me.
id | name | grade | aggregate
This would do the trick, id is your primary key, name is students first last name, grade is what grade he is in and aggregate is aggregate % based on the grade.
Fro example some rows might be:
10 | Bill Cosby | 10 | 90
11 | Jerry Seinfeld | 4 | 60
Bill Cosby would have aggregate percent of 90 in grades 1-9, and jerry would have 60 in grades 1-3. In this case it is one table and boils down to you managing the rule of aggregation for this table, since it has to be one table.
If this is an interview question, it looks like they would like to check your knowledge on Nested Tables. Essentially you would have one column as roll number, and other column which is a nested table as Class and Percentage.