What is an attribute element
Introduction to attributes
Attributes are the business concepts that are reflected in your data. Attributes provide a context in which to report or analyze business facts or calculations. An attribute in a Dossier serves as a label for a group of metrics.
Your company's sales figures should serve as an example. The knowledge that your company has generated sales of 100,000 euros is not very informative in and of itself. In order for this paragraph number to be meaningful, you need additional background details, such as:
- a time frame for the sales
- which and how many employees contributed to total sales
- which products were sold in which departments
- the area in which the turnover was generated, for example in the whole of Germany, in a certain federal state, in a city or in a branch
Attributes such as “month”, “year”, “department” or “region” can provide the analytical depth necessary to understand your company's sales figures. Use the day, month, quarter, or year attribute to view sales data summarized at the daily, monthly, quarterly, and annual levels.
MicroStrategy Web automatically creates attributes when you import data. Attributes are indicated with the attribute symbol in the "Data sets" and "Editor" sections.
While viewing a dossier, you can also create new attributes based on existing attributes in your data set.
You can create a derived attribute “year” from a “date” attribute in the format MMDDYYYY.
Attributes are made up of attribute elements. An attribute element is a value of an attribute.
The “City” attribute contains the “New York” and “Dallas” attribute elements. January, February and March are elements of the month attribute.
Attribute fields are additional descriptive information about a business attribute. Most attributes only have the fields "ID" and "Description". However, an attribute can have many different fields.
The attribute "customer" contains the fields "first name", "last name", "address" and "email address".
You can group data from multiple attribute values into a single element. This is called a derived element. You can combine attribute values selected from a list or visualization into a single derived element. You can also combine data from attribute values and derived elements in a calculation that defines a single derived element.
Introduction to attributes, metrics and groups
Introduction to derived attributes
Create a derived attribute by changing the data type of an attribute
Linking data shared across multiple data sets
Select which attribute fields should be displayed in a visualization
- Who is your rival
- What makes something memetic
- How do you change your car oil
- Which is SSC CPO's official website
- REI membership is worth it
- What does the German word liebchen mean?
- What could you suggest to President Trump
- How did Afrobeats come about?
- What can I do when I stand still
- Are dubbed films good for language learning
- How do I get tested for diabetes
- How should I prepare for cell signaling?
- Are players rare? Are you one
- What is the scientific explanation of meditation
- How did you gain experience with Simplilearn
- Is it safe to trade with Upstox?
- How do you receive Stripe payments
- What made Eminem rap?
- What are motorcycle subwoofers
- Nithyananda is hiding in India
- Who are some famous makeup artists
- What is a gear switch
- Why don't people trust artificial intelligence
- What careers involve writing