Visualize text frequency and sentiment with Word Clouds. Instantly spot themes in customer feedback, search terms, or open-ended survey data.

Word Clouds provide an immediate visual summary of textual data. By sizing words according to their frequency or importance, they allow users to grasp the primary themes of a dataset in a single glance. Whether analyzing customer feedback, search terms, or product tags, Word Clouds turn unstructured text into actionable insights.

The Edilitics Visualization module generates these clouds dynamically from your governed datasets, ensuring that the text analysis matches your trusted metrics.

When to Use a Word Cloud

Use Case	Why This Chart Works
Voice of Customer	Instantly see the most common words in reviews or support tickets (e.g., "fast", "broken", "expensive").
Search Analysis	Visualize the most popular search queries on your platform.
Tagging Systems	Display the distribution of product tags or blog categories.
Employee Feedback	Summarize open-ended survey responses to identify cultural themes.

Chart Configuration in Edilitics

Inputs Required

Data Type	Required Count	Description
Dimensions (Columns)	1	String field containing the words to display.
Metrics (Rows)	1	Numerical value determining the size/weight of each word.

How to Configure a Word Cloud

Select "Word Cloud" from the Chart Library.
Assign Data:
- Drag your text dimension to Text/Word.
- Drag your metric to Size/Weight.
Shape Customization:
- Choose from predefined shapes (Circle, Square, Star, etc.) to constrain the cloud's layout.
Styling:
- Color Palette: Assign colors randomly or based on a gradient map.
- Rotation: Allow words to rotate 90 degrees or keep them all horizontal for readability.

Feature Highlights

Smart Layout Engine

Automatically fits words into the container without overlapping.
Optimizes font sizes to ensure the most important words stand out while maximizing density.

Interactive Filtering

Click-to-Filter: Clicking on a word (e.g., "Error") filters the entire dashboard to show data related only to that term.
Turns qualitative data into a quantitative navigation tool.

Stop Word Handling

(Ideally) pre-process data in the Transform module to remove common stop words (and, the, a) before visualization for cleaner results.

Best Practices for Word Clouds

Practice	Why It Matters
Clean Your Data	"Good" and "good" are different words to a computer; normalize case in the Transform layer first.
Limit Word Count	Displaying top 50-100 words is effective; 1000 words become unreadable noise.
Avoid Long Phrases	Single words or bigrams (2 words) work best; sentences break the visual impact.
Use Color Meaningfully	If possible, map color to sentiment (Green=Positive, Red=Negative) for deeper insight.

How Edilitics Is Different

Unlike static word cloud generators, Edilitics Word Clouds are fully interactive dashboard components:

Governed Text Data: Pre-cleansed in the Transform layer, ensuring consistent word normalization (case, stemming) before visualization.
Cross-Filtering: Clicking a word filters the entire dashboard to show related data, bridging text analytics and BI.
Real-Time Updates: As underlying data changes, the cloud updates automatically - no manual regeneration needed.
Dashboard Integration: Responds to global filters (e.g., "Show only last 30 days") like any other chart type.

This bridges the gap between qualitative text analytics and quantitative business intelligence.

Word Clouds are the fastest way to "read" thousands of rows of text. With Edilitics, you bring the qualitative voice of your customers directly into your quantitative dashboards.

Need help? Email support@edilitics.com with your workspace, job ID, and context. We reply within one business day.

Word Clouds for Text Frequency