COMMON DATA CATEGORIES IN POWER BI – Describe an analytics workload on Azure

COMMON DATA CATEGORIES IN POWER BI

In Power BI, data categorization plays a crucial role in tailoring visualizations and enhancing report interactivity. Here is a list of common data categories found in Power BI:

  • Geographical: Includes various subcategories such as Address, City, Country, Latitude, Longitude, Postal Code, etc., facilitating map-based visualizations
  • Web URL: Web addresses, hyperlinks within Power BI reports

A PRACTICAL ILLUSTRATION

Suppose you’re working with a dataset that captures details of art galleries worldwide. The dataset includes the gallery name, city, country, average visitor count, website, and date of establishment.

  • “Gallery Name” would be categorized as Text.
  • “City” and “Country” fall under the Geographical category.
  • “Average Visitor Count” is a Whole Number.
  • “Website” is categorized as a Web URL.
  • “Date of Establishment” is assigned the Date/Time category.

With these categorizations in place, Power BI can effortlessly visualize a map pinpointing gallery location worldwide or create a time-series chart showcasing the growth of galleries over the years.

Understanding and effectively leveraging data categorization in Power BI transform your data from raw numbers and text into a coherent story, adding layers of context, meaning, and depth.

136 CHAPTER 4   Describe an analytics workload on Azure

Quick Measures

In the vast and intricate world of data analysis, time is of the essence. Power BI recognizes this, and in its arsenal of features aimed at streamlining your analytical journey, you’ll find Quick Measures, a tool designed to expedite the process of creating complex calculations. It’s about making what was once convoluted accessible and swift. Dive into this section to discover the features of Quick Measures and how you can leverage them effectively.

Quick Measures is a compilation of prebuilt DAX formulas in Power BI that automate com-monly used calculations. Instead of manually writing out a DAX expression for a particular metric, you can use Quick Measures to generate these formulas for you, based on your data model and your selected fields.

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