Dear SAP Analytics Cloud beginners,
This is a blog post for beginners in SAP Analytics Cloud. I also started learning SAP Analytics Cloud from August 2021. I’d like to share my trial and error from a beginner’s point of view, and hope it helps you get started easily!
I posted a blog “Day1:Time Series data” with how to set up a hierarchy when creating a chart. (Link to Beginner’s SAP Analytics Cloud Journey: Day1)
I was trying to create monthly, quarterly and weekly trend chart, but I had a problem when setting up a hierarchy for time series data.
I can’t find hierarchy. Where is hierarchy😨?
Dimensions with hierarchical settings are what I expected.
I found a solution that I need to change the datatype and transform the data.
Hierarchy setting for dimensions is unavailable when datatype is “Date and Time” format, thus you should change the datatype.
The conversion format for SAP Analytics Cloud is as follows:
- “Date and Time” Conversion Format: YYYY-MM-DD HH24:MM:SS
- “Date” Conversion Format: YYYY-MM-DD
You can easily change and transform your data by following these steps:
Step1: Go to dataset and check datatype
In this example dataset, datatype is “Date and Time” with Conversion Format, “YYYY-MM-DD HH24:MM:SS”.
The next step converts the datatype from “Date and Time” to “Date”.
Step2: Duplicate column, “Date and Time”
Step3: Create a Transform
You can transform datatype with concatenate, split, extract, replace and change functions.
But, “Split” function is unavailable when datatype is “Date and Time”, thus before split the data, you should change datatype from “Date and Time” to “String”
Step4: Change datatype from “Date and Time” to “String”
In the detail section, you can change the datatype from “Date and Time” to “String”.
Step5: Split data on ” “
After changing the data to “String”, you can split the data in “blank”.
Step6: change datatype from “String” to “Date”
After splitting the data, you can change the datatype from String to Date with “YYYY-MM-DD” format.
Step7: change datatype from “String” to “Time”
After splitting the data, you can change the datatype from String to Time with “HH24:MM:SS” format.
Step8: Change column name
You can change the column name in the “viewing details for” in the detail section.
Step9: Delete column
Please delete unnecessary columns using “Delete Column”.
Step10: Save the dataset
Please save the transformed dataset.
Step11: Go to the stories and Set Hierarchy
Please go to the stories and you can find the “Set Hierarchy”.
Step12: Select Hierarchy
You can select different types of hierarchies such as, “Year, Half-Year, Month, Day”, “Year, Quarter, Month, Day”, and others as follows.
Step13: Choose Level in the Hierarchy
You can set the date hierarchy by year, quarter, or month, depending on the hierarchy you choose.
Now you can now change datatype and transform data👏👏👏!
In my opinion, this is pre-required steps before creating chats and analyze data in SAP Analytics Cloud. If you’d like to learn more about charting and analyzing time series data?
Please refer to my blog posting: Beginner’s SAP Analytics Cloud Journey: Day1
Following on Beginner’s SAP Analytics Cloud Journey: Day3 – How to insert Geo Map.