Public data search 2023-05-03
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Collaborative data visualization platform.
Generated by ChatGPT

Columns is an AI-powered data visualization and collaboration platform that allows teams to work together in real-time to create stunning visualizations using natural language inputs and speech.

With fine-grained access controls, users can manage their data catalog and self-serve data storytelling with ease. The app requires javascript and can be accessed through the website or integrated with other tools.One of its key features is its ability to allow users to chat with GPT-3, a state-of-the-art AI model, to query and visualize data.

Users can ask for top countries by GDP or population, projected electric auto sales by brand, or even distance to the sun by planet and get instant data visualizations.

Columns also offers a wide range of templates and pre-built tools for creating charts, graphs, and visualizations with ease. Users can choose from a variety of charts, including bar charts, line charts, scatter plots, and more.

The platform also includes a library of icons, images, and shapes to help users create beautiful and informative data stories.In addition, Columns offers several integrations with other tools like Slack and GitHub, making it easy to collaborate, share insights, and manage data across different teams.

Overall, Columns is a powerful tool for data visualization and collaboration that can help teams leverage the power of AI to create beautiful and informative data stories.


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Columns was manually vetted by our editorial team and was first featured on May 3rd 2023.
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Pros and Cons


Real-time data visualization
Collaboration in real-time
Natural language inputs
Fine-grained access controls
Self-serve data storytelling
JavaScript based
Integration capabilities
Chat with GPT-3
Instant data visualizations
Wide template range
Pre-built visualization tools
Variety of chart types
Library of design elements
Slack and Github Integrations
Facilitates data sharing
Management of data catalogs
Speech-based querying
Flexible data queries
Automated data interpretation
Inclusivity of public data
Offers popular data searches
Community tips and practices
Multiple platform visibility
Communicates data effectively
Access via website
Seamless tool integration
User-friendly interface
Newsletter for data storytellers
Flexible data storytelling
Visualizing vast data types
Data platform exploration feature
In-built data research feature
Supports multiple chart forms
Tools for data beautification
Fast data visualization platform


Requires Javascript
Limited integration options
Relies on GPT-3
No desktop app
Real-time collaboration issues
Limited icon library
Unclear data management system
Limited template variety
No mentioned multi-language support
Potentially steep learning curve


What is Columns?
How does Columns use AI?
What is GPT-3 and how is it used in Columns?
How does Columns handle data visualization?
Can you use natural language inputs in Columns?
What kind of access controls does Columns offer?
What kind of data can be queried in Columns?
What templates and tools does Columns offer for creating charts and graphs?
What types of charts can be made using Columns?
How is Columns integrated with other tools?
How does Slack integration work with Columns?
What is the role of icons, images, and shapes in Columns?
What does Columns mean by self-serve data storytelling?
How is Github used with Columns?
How to manage data catalog in Columns?
What data visualization options are available on Columns?
What are the JavaScript requirements for using Columns?
How can I use Columns to share insights with my team?
How does Columns use speech for data visualization?
Why would a team use Columns for data visualization and collaboration?

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