Popularity

1 out of 5 levels

about 1500 users per month
Visit

Service information

Plans

freepaid

Platforms

Requirements

social authGoogleGoogle sign inemail requiredaccount registration required

Description

Columns is the fastest data visualization platform where teams can create data visualizations and generate insight summaries. With fine-grained access control and self-serve data storytelling, collaborate with your team and manage your data catalog with ease. Available plans include free and paid options. Access the service through the website. Obstacles when using the service include social auth, Google sign in, email required, and account registration required. Visit the website for more information.

Examples

🔍📝

Generate Insight Summary

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outputs

The chart represents the unique count of paid fees for each month. 

The data is represented as a JSON string. 

The months are listed in chronological order from January to December. 

The count of paid fees ranges from 3 in March to 11 in multiple months (August, December, November, October, and September). 

April, January, July, June, and May have a count of 8, while February has a count of 10.

📊🖥️

Create Data Vizualization

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outputs
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Features

  • Columns has a natural language and speech feature that makes it easier for you to navigate and use the tool.
  • The service offers fine-grained access control, allowing you to manage who has access to your data and visual narratives.
  • Columns provides a data catalog management feature to help you keep your data organized and easily accessible.
  • The tool has a self-serve data storytelling feature that lets you create your own compelling data narratives.
  • Columns uses AI-powered data transformation to turn your raw data into understandable and attractive visual narratives.

Perfect for

  • Data analysts might find Columns very useful for visualizing and understanding data.
  • Data scientists can use the tool to transform raw data into visual narratives.
  • Data storytellers can use Columns to create compelling stories from their data.
  • Team members working on data projects can use the tool for collaboration and sharing.
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