I’m excited to share a snapshot of my first week at DAS2023 Brisbane, where I joined six talented individuals chosen from 138 applicants. Our first week was an intensive immersion in Tableau’s capabilities, an experience that stretched our analytical boundaries.

Our mentors, Shane, Bethany, and Ross, were crucial, providing us with invaluable industry insights and guiding us through complex concepts. With a profound depth of knowledge and an evident passion for data analytics, they’ve begun to transform our raw enthusiasm into structured understanding.

Despite the intensity of the program, the collaborative spirit within our cohort has been a highlight. Each member brings a unique perspective to the table, contributing to a rich, multifaceted learning experience.

As we concluded our first week, it was evident that our journey has only just begun. Our minds, teeming with new information, are eager for more. We’ve scratched the surface of what Tableau has to offer, and we’re collectively fascinated to explore deeper into its capabilities.

This week’s tip focuses on distinguishing Discrete and Continuous fields, offering a concise guide to navigating common foundational challenges, boosting efficiency, and refining your Tableau expertise.

Dimensions and Measures, Blue and Green

Data fields are categorized as dimensions or measures.

Dimensions
contain categorical data (qualitative data like categories or names) and help segment information.
Measures hold numerical data (quantitative data like numerical values) used for calculations.

Discrete and Continuous

Both determine how the data is aggregated.

Discrete Fields (Blue): These fields are used for categorical distinctions and are instrumental in creating headers in your visualizations.

Continuous Fields (Green): These fields, often representing quantitative data, create a seamless and uninterrupted axis.

For example, incorporating a discrete field like ‘Product Category’ in columns and a continuous field like ‘Sales’ would organize data into distinct segments in the view, facilitating comparative sales across different categories. This is particularly evident in visualizations like bar charts or pie charts, where each segment or slice represents a specific category.

 

Up to this point, everything has been quite straightforward, but the complexity begins when any field in the data pane can be converted to discrete or continuous, or classified as either a dimension or a measure. However, there’s no need to Panic. The following quadrant elucidates the usage of each type and how they can be combined for easier comprehension.

Understanding the difference between these quadrants is crucial for accurate data representation and effective visualization in Tableau.

This distinction is essential for creating meaningful visualizations and data analysis.

Helpful link:
🖇️ Dimensions and Measures, Blue and Green

In a nutshell:
Blue things GROUP your data.
Green things COUNT your data.
Dimensions SPLIT up the view.
Measures FILL the view.

 

Rodrigo Diaz
Author: Rodrigo Diaz

I'm Rodrigo from Mexico, and I am passionate about learning and career growth. I hold a law degree, a master's in business management, and a diploma in civil construction design. My expertise is in starting businesses and product design. I've worked in agriculture, IT, and the public sector, gaining insights into business operations. Outside work, I'm an avid golfer and enjoy spending time with my family, especially sharing experiences with my daughter.