Custom Column with multiple column references in PowerBi - powerbi

Below is the dataset,
I would like to add a new column at the end of the dataset as "Covid No Vaccination Dose". This column will include of the populated data from the Covid Vaccination Dose 1, Covid Vaccination Dose 2, Covid Vaccination - Full Dose and Covid Vaccination - Booster Dose.
So basically in this scenario, there are few workers with No vaccination doses of any of the vaccines and has been identified by the said above columns.
I'm struggling to populate the answer "No" from the above said 4 Covid Vaccination columns to one Single Column which will be named as "Covid No Vaccination Dose".
Really appreciate if anyone can help me with this.

From your example, it appears that the cells will contain either Yes or No. That being the case, you can use a custom column with a formula similar to the following:
=List.Last(List.Sort(List.Distinct({[Covid Vaccination Dose 1],[Covid Vaccination Dose 2],[#"Covid Vaccination - Full Dose"],[#"Covid Vaccination - Booster Dose"]})))

If you are in powerquery with the data
Add column ... custom column ... set the column name to Covid No Vaccination Dose
and use formula similar to:
= if [#"Covid Vaccination - Dose 1"]="No" and [#"Covid Vaccination - Dose 2"]="No" and [#"Covid Vaccination - Full Dose"]="No" and [#"Covid Vaccination - Booster"]="No" then "No" else "Yes"
rather then type the [...] parts, I suggest you click on them in the right

Related

DAX & Power Query - Removing transaction line if sale is returned

First time posting, thanks in advance !
I have a simple sales table acting as a data source.
In this table I have all my dimensions and facts, the data model is not organized as a star schema.
I believe this question does not require the data model to be optimally built.
One column tracks the Sales Quantity and shows -1 if the item is returned.
In Power Query.
I wish, for all returns, to eliminate the line with the -1, but also the associated line with the +1 sale.
I do not wish to simply filter by the Invoice Number and remove it, as in the same invoice I may have other items who were not returned.
I wish to have in my final table only final records.
Thank you
Did not manage to identify a way to tackle the issue in Power Query as of yet.
Edit, addition of further context
Dataset abstract:
I would like to keep the green row and remove the yellow ones.
One invoice features three lines, two for one item being sold and returned, and one for an item being purchased for good. That latter one is to stay in the records.
[IMAGE : Excel version of relevant column in data base ]
https://i.stack.imgur.com/CiiiC.png
Because I do not know the exact nature of your data, I will give you a general solution for your problem, which will help you immensely.
First, I will transform your data into facts and questions. Then I will answer the questions depending on my experience analyzing many different datasets; last but not least, I will provide you with the solution.
Facts,
[Sales Amount Include Tax] column values for Return Sales are negative numbers because excel format negative numbers by including them with parentheses, as your data shows.
The Original Sale record and the Return Sale record must have the same values for these columns, which we will use to know the Original Sales record:
The absolute value for the [Sales Amount Include Tax] column.
[Invoice No], [Department], [Sub Dept], [Sub Dept GROUP], [Item Code] columns.
This point is critical because we will use these columns to know the Original Sales record.
Questions,
Is the Item code column value similar to the original sale row and the returned sales row?
My answer: It should be because you are returning the same item that the Item code column describes, but I am concerned that your data shows that the first two rows don't have the same Item code. Is it by mistake?
Is the Sales Quantity column always filled with -1, even if the original sales quantity was, for example, three pairs of shoes?
My answer: The Sales Quantity column should describe the number of items someone bought, so if I originally bought 2 things but didn't like them for a reason, I will return two items so that the column value will be -2.
If my above assumptions are correct, you need to do the following in the Power BI query:
1. Import your Sales table to Power BI. See this image that shows the test data I used.
2. When you import your data and see it in the Power Query Editor, you will see that the Sales Amount Include Tax column value shows minus rather than parentheses for Return Sales Rows, as you can see in this image.
3. Create a copy of your Sales table and Rename it to Returned Sales, then filter this table to include only [Sales Amount Include Tax] that are less than 0, as you can see in this image.
4. Filter the Sales table to include only [Sales Amount Include Tax] greater than or equal to 0, as you can see in this image.
P.S. Now comes the fun part :)
1. In Returned Sales table, add a custom column name it ReturnedSaleFlag, then give it a value of 1, as you can see in this image.
2. Change ReturnedSaleFlag column type to Whole number.
3. In Returned Sales table, transform [Sales Amount Include Tax] to an Absolute Value, as you can see in this image.
4. Now you need to return to the Sales table and merge it with Returned Sales table using multiple columns which are the column listed in the second point of the fact section, as the image shows. Also, see this link that describes how to Merge query based on multi columns.
5. Expanded the new Returned Sales column in Sales table and only select ReturnedSaleFlag column and make sure to remove the check from use original column name as a prefix, as the image shows.
6. Finally, all your previous hard work created a flag in your Sales table that will let you know the Sales record that had been returned. :)
7. Now you filter the Sales table to keep the records that only have null values for the new ReturnedSaleFlag column then remove this column, as the image shows.
8. In the end save and apply and analyze your Sales and your extra info in the Returned sales.
I hope I helped in a way; if so, please mark this as an answer and vote for it :)

AWS Athena date sql query

Below is the data in csv file in s3 bucket which I have used to build Athena database.
John
Wright
cricket
25
Steve
Adams
football
30
I am able to run the query and get the data.
Now I am trying to fetch date of birth based on age column. Is it possible to generate date of birth from age column like current date - age (column) and print only the date of birth?
I tried below query but not sure whether it is correct way
select (current_date - interval age day) from table_name;
Please help me with this.
You can use the date_add function, like this:
SELECT date_add('year', -age, current_date) FROM table_name
I.e. subtract age number of 'year'(s) from the current date.

Power BI translating a sql query to filters

I was wondering if this is possible in Power BI, I am extremely new to this and I am trying to relate how a sql query can translate in to a power bi report.
SELECT
expiresDate,
Name,
Addr,
ValidFrom,
ValidTo,
ChildName,
ChildValidFrom,
ChildValidTo,
RecValidFrom,
RecValidTo
FROM Table
WHERE expiresDate Between <date1> and <date2>
AND <Date3> BETWEEN ValidFrom AND ValidTo
AND <Date3> BETWEEN ValidFrom AND ValidTo
AND <Date3> BETWEEN ValidFrom AND ValidTo
A brief explanation. The report is for 3 months in advance. So in August the report is for September <date1 = 01/09/2021) and October (date2 = 31/10/2021) data. However the data can change on a daily basis. So this depends on Date3 which could be any day in August.
I have created a table that is a calendar and has the additional columns that calculate the start and end dates from a particular date. I just can't work out how to relate this to the dataset which is the query without the WHERE. I would then want the filters to be able to determine the result. Ultimately as I have it at present a single date that will then get the dates from the start and end dates as described earlier. Or display by range using the latest iteration of the record to display.
For example, First part of table
expiresDate
AccNo
Name
Addr
ValidFrom
ValidTo
ChildName
2021-10-01
1
Robert
1 Here
2019-01-01
2021-08-16
Cheese
2021-10-01
1
Robert
1 Here
2019-01-01
2021-08-16
Rhubarb
2021-10-01
1
Bob
1 Here
2021-08-17
2020-08-23
Rhubarb
Second half of table
ChildValidFrom
ChildValidTo
RecValidFrom
RecValidTo
2019-01-01
2021-08-10
2019-19-01
2020-12-31
2021-08-11
2021-08-23
2021-01-01
2021-08-15
2021-08-11
2021-08-23
2021-08-16
2020-08-23
The table is a view which has squashed the data to unique records and when the changes occurred. The dataset is considerably lower, a record count from 10m to 54k.
The requirement is that all To - From dates are within the date specified. Either being a date in the calendar that is entered as a filter... or today.
The report would bring out all records that have an expiryDate greater than 1 calendar month of the date, and less than 3 calendar months. I am just using August dates for the example so this would be from the 01/09/2021 - 31/10/2021.
If I use date 2021-08-01.
In my example there are 3 results for AccNo 1, but Only 1 should be displayed.
If I use the date 2021-08-01 the first row would be displayed.
If I use the date 2021-08-12 the second row should displayed.
If I use the date 2021-08-23 the third row should displayed.
Because the date used should fall between the date range of all 3 criteria
ValidFrom - ChildValidTo
ChildValidFrom - ChildValidTo
RecValidFrom - RecValidTo
Any help would be greatly appreciated. This is extremely frustrating, but I can understand that if this is possibly that this would make a nice visual for the users to check through their data based on entering a date.
Many thanks

PowerBI - conditional formatting for highlighting weekends

I have a data table matrix in power bi showing Dates in Rows and hours in columns and count of customers against them as values. i wanted to highlight all rows of thursday, friday and saturday, so that weekend figures can be compared.
Need help in this pls...
the table is in the below format
enter image description here
First you want to create a duplicate (in my case monday - friday (2) that does NOT have a relation to you source table. You want this duplicate table to only show days. This duplicate table needs a relationship with the slicer you are going to use to filter for days
In your source table (monday - friday) you want to create the following measure:
Measure = IF(HASONEVALUE('monday -friday (2)'[Day]);
IF(SELECTEDVALUE('monday -friday (2)'[Day]) = MAX('monday -friday'[Day]); 1; 0);
IF(ISFILTERED('monday -friday (2)'[Day]) && COUNTROWS(FILTER('monday -friday (2)'; 'monday -friday (2)'[Day] = MAX('monday -friday'[Day]))); 1; 0))
Now you want to create conditional formatting. First create your table with days and values (for the example i did not sort the table. You want to sort your table so it looks better):
Then right click on values and select conditional formatting. Select based on rules.
and the measure you just created in your source table.
for the first option you select "is bigger than or equal to" and give it a value 1.
for the second option you select "is smaller than"and give it a value 1000.
Choose the color you want your highlights to be.
If you now select a day in your filter the value for that day will show the background color you selected! In your case you want to select all days you want to have highlighted.
Hope this helps!

Calculated column in Power BI based on relationship between 2 tables

Hi,
I'm trying to add a calculated column in my MergedTable table that will multiply the Time column by the sum of the indicator in the TeamLeave when the week ending dates and the name dates are the same but I'm not sure how or what functions to use(I've tried a number at this stage).
Could anyone provide me with assistance on this?
Thanks,
This:
'MergedTable'[Time] * CALCULATE(SUM('Team Leave'[Indicator]))
The CALCULATE is necessary to perform a context transition (turning the "current row" of 'MergedTable' into a filter that will propagate to the 'Team Leave' table).