Tool Information
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.
F.A.Q (20)
Columns is an AI-powered data visualization and collaboration platform. It allows teams to collaborate in real-time to create visualizations using natural language inputs and speech. It offers fine-grained access controls for users to manage their data catalog. Columns can be accessed through the website or integrated with other tools.
Columns uses AI to facilitate data visualization and collaboration. AI is used to interpret and react to natural language inputs and speech, making it possible to query and visualize data in real-time.
GPT-3 is a state-of-the-art AI model, which can understand and generate human-like text based on an input. In Columns, users can chat with GPT-3 to query and visualize data, making data analysis more accessible and interactive.
Columns facilitates data visualization by allowing users to create visualizations using natural language inputs and speech. It offers a wide range of templates and pre-built tools for creating charts and graphs and includes a library of icons, images, and shapes to aid in data storytelling.
Yes, natural language inputs can be used in Columns. This feature is made possible by the integration of the GPT-3 model, allowing for an intuitive and user-friendly way to query and visualize data.
Columns offers fine-grained access controls. This allows users to manage their data catalog, providing a secure platform for the protection and controlled access to sensitive data.
User can query a wide range of data in Columns. Examples of queries could include: top countries by GDP or population, projected electric auto sales by brand, or distance to the sun by planet. The data available for queries will depend on the datasets integrated in the user's tool.
Columns offers a wide range of templates and pre-built tools for creating charts, graphs, and visualizations. This makes the data visualization process easier and faster, and lets users focus on data analysis and interpretation.
Users can make various types of charts using Columns, including bar charts, line charts, scatter plots, among others. The platform provides templates for these types of charts to further streamline the creation process.
Columns is integrated with other tools like Slack and GitHub. This makes it easy to collaborate, share insights, and manage data across different teams and platforms. The specific functionality of the integrations can vary depending on the requirements and workflows of individual teams.
The Slack integration with Columns facilitates real-time collaboration and sharing of insights across teams. For example, you can send data visualizations directly to Slack channels or individual members, and they can respond and engage with the data from within the Slack environment.
Icons, images, and shapes in Columns are tools for users to create visually appealing and informative data stories. They add aesthetic value and meaning to data visualizations and make them more comprehensible and engaging for the audience.
Self-serve data storytelling in Columns refers to the ability of users to independently create their own narrative using data. It's about being able to query, visualize, interpret, and share data, all within the platform without the need for extensive technical knowledge.
Github is used with Columns to facilitate code and data sharing within a team. It can also serve as a data source that can be visualized using the Columns platform.
Users can manage their data catalog in Columns using the fine-grained access controls offered by the platform. This allows them to control who can access the data and prevent unauthorized access.
Data visualization options available on Columns include a range of charts and graphs, like bar charts, line charts, scatter plots, and more. In addition, it offers features like a library of icons, images, and shapes to enhance the visualizations.
Columns app requires the ability to process javascript to function properly. Users would need to have a javascript-enabled browser to access and use all the features of Columns.
You can share insights with your team using Columns through its collaborative features and integrations with different tools. It facilitates simultaneous real-time work on visualizations and allows users to share their work directly through platforms like Slack.
Columns incorporates speech recognition technology, allowing users to engage the system using spoken commands or queries. It's an intuitive feature that makes interaction with data seamless and user-friendly.
Teams would use Columns for data visualization and collaboration because it combines the power of AI with user-friendly tools to facilitate the creation of visually appealing and informative data stories. With real-time collaboration features, integrations, and fine-grained access controls, it streamlines data management and decision-making processes across teams.
Pros and Cons
Pros
- 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
Cons
- 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
Reviews
You must be logged in to submit a review.
No reviews yet. Be the first to review!
Similar Tools
Get chat and message suggestions for online dating with AI.
TBD
Free + from $9.99/mo
