Measure Names and Measure Values in Tableau - Calculations

This tutorial will help you transform your visualization dashboards with advanced calculations using Measure Names and Measure Values in Tableau.

This comprehensive tableau tutorial on measure values will help you explore everything you need to know about Measure Names and Measure Values in Tableau, from understanding their significance to leveraging their full potential in your data visualizations. Let's start this journey together to unlock the power of Tableau! 

What are Measure Names and Measure Values in Tableau?

Measure Names and Measure Values are essential Tableau concepts that are crucial in data visualization. But what do these terms mean?

 

In Tableau, Measure Names refer to the names of the quantitative measures or metrics in your dataset. These could include sales figures, profits, quantities, or any other numerical data you want to analyze or visualize. On the other hand, Measure Values represent the actual numerical values corresponding to the Measure Names. In simpler terms, Measure Values are the data points themselves, whereas Measure Names are the labels that identify these data points.

How to Get Measure Names in Tableau? 

Let's consider an example to illustrate how Measure Names works in Tableau. Suppose you have a sales information dataset with fields like Sales, Profit, and Quantity. When you drag Measure Names onto the Rows or Columns shelf, Tableau recognizes the quantitative fields (Sales, Profit, Quantity) and displays them accordingly. Check out the video to understand better - 

How to Display Measure Names in Tableau? 

To show Measure Names in Tableau, drag the Measure Names field onto your worksheet's Rows or Columns shelf. Tableau will then display a list of all the quantitative fields available in your dataset. 

 

How to show measure names in Tableau

 

How to Filter Measure Names in Tableau?

You can filter Measure Names in Tableau by dragging it onto the Filters shelf and selecting the measures you want to include or exclude from your visualization. This allows you to focus on specific measures or remove irrelevant ones from your analysis. 

 

Let's say we have SUM(Profit), SUM(Quantity), SUM(Sales), and COUNT(Orders). To exclude the order count, just drag the box representing COUNT(Orders) outside the dialog box. This action removes it from the list of selected measures. 

 

Filter Measure Names in Tableau

 

This straightforward method ensures that the count of orders is excluded from your analysis in Tableau.

How to Edit Measure Names in Tableau?

To edit Measure Names in Tableau, you must modify the original field names in your data source. Once you've made the necessary changes to your field names, refresh your data connection in Tableau, and the updated Measure Names will be reflected in your worksheets.

 

For instance, you renamed the "Discount" field to "Discount_NEW". After changing your data source, navigate to Tableau and refresh your data connection to reflect the updated field names. 

 

How to change measure names in Tableau

 

Once refreshed, Tableau will recognize the modified field name as "Discount_NEW"; you can use it accordingly in your visualizations. 

 

How to edit measure names in Tableau

 

Why Do Measure Names Show Duplicates in Tableau?

If you've encountered duplicate entries in Measure Names while working in Tableau, don't worry – you're not alone. This issue typically arises when your dataset contains multiple measures with similar names or Tableau incorrectly interprets specific fields as measures.

 

To address this issue, follow these troubleshooting steps:

  • Review your data source to ensure no duplicate fields or naming inconsistencies could lead to duplicate Measure Names in Tableau.

  • Verify that the fields you use as measures are correctly categorized as numerical data types in your data source. Tableau may interpret non-numeric fields as measures, leading to duplicate entries in Measure Names.

  • If you're working with multiple data sources in Tableau, consider using data blending techniques to avoid duplicate Measure Names. Data blending allows you to combine data from different sources while maintaining data integrity and clarity.

Gain Tableau Proficiency with ProjectPro! 

Whether you're aggregating multiple measures or performing complex calculations, Measure Names and Measure Values provide the flexibility and scalability necessary for effectively exploring and communicating data in Tableau. ProjectPro is your ultimate companion, offering a repository of over 270 projects meticulously crafted to simulate real-world scenarios. It empowers learners to immerse themselves in diverse challenges, from predictive modeling to data visualization, thereby honing their skills and building confidence in applying theoretical knowledge to practical contexts. With ProjectPro's expertly curated projects, aspiring data professionals can bridge the gap between theory and practice, accelerating their growth and positioning themselves for success in the competitive landscape of data-driven industries. Start your journey with ProjectPro today and unlock the door to endless possibilities in the dynamic realm of data science and analytics.

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