Enclosed Dot Plots display the actual value as a dot, plotted against a background bar or target range, clearly showing how close or far each value is from its peers or target.
When to Use Enclosed Dot Plot?
- To compare values or metrics between and within different segments and domains
- To spot outliers and anomalies in the data
Our Use Case: Comparing emissions from different automotive manufacturers
We analyzed CO2 emissions for different vehicle classes of each manufacturer
The Enclosed Dot Plot reveals:
1. Which vehicle class contributed the most, and which was the lowest, in an instant.
2. Gaps between CO2 emissions with precise, visual clarity, without the noise of multiple bars
Limitations of Traditional Bar/Column Charts:
1. Tend to clutter when adding multiple makes or vehicle classes
2. Make it hard to visually gauge value/metric gaps
Why Enclosed Dot Plot Wins Here:
1. Compare metrics with clarity and precision
2. Visualize gaps without visual overload
At Perceptive Analytics our mission is “to enable businesses to unlock value in data.” For over 20 years, we’ve partnered with more than 100 clients—from Fortune 500 companies to mid-sized firms—to solve complex data analytics challenges. Our services include Advanced Analytics, Generative AI, and Business Intelligence (Tableau, Power BI and Looker) turning data into strategic insight. We would love to talk to you. Do reach out to us.
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You have crafted a powerful analytical tool for us. Thank you.
Alan Benjamin
Principal, Benjamin Realty Advisors
I have been working with Chaitanya and Perceptive Analytics for about 20 months now. They did BI / reporting and excel tool development. Their work helped us in channeling our periodic reports to the senior and operational management. The team exceeded my expectations. Chaitanya would ask thought provoking questions that trigger a new line of thinking. They created good dashboards so our senior team can quickly interpret reports. We were able to make progress because the team knew finance and tools they created were easy to implement.
Samir Lavani
CFO at Pearl Hospitality
Chaitanya and the Perceptive Analytics team worked on multiple strategic projects that involved Tableau data visualizations. Perceptive's work (~ 1 year) led to successful launch of our portal - this was an important milestone for us. Visualizations created were insightful, easy to understand and visually attractive. The team often suggested ways to show data in more intuitive way so our audience can understand it. They also knew Tableau well that helped in customizing it for our purposes. The team worked hard to finish the project on time managing expectations. I look forward to working with Perceptive on other projects.
Haroon Yaqoob
Principal at Nomenclature Inc.
