Leading the transparent code approach for the rapid development of embedded visual analytics solutions.
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ChartFactor Studio is a rapid development environment that acts as a container of ChartFactor components for transparent embedding of visual analytics functionality into your data applications. In ChartFactor Studio, everything is a component exposed as code!
ChartFactor Py enables you to visually interact with your Pandas DataFrames using JupyterLab and Jupyter Notebooks. With ChartFactor Py, you can easily create beautiful web-based visualizations and interact with them using the ChartFactor Studio canvas. You can visually examine column statistics, create multiple charts, filter between them, and use the "Copy code" function to render your key findings and results on different cells without having to code or google syntax.
ChartFactor Toolkit is a powerful collection of components that speed up the implementation of data applications that are scalable and easy to use. It includes a large array of visualizations, native connectivity to modern data engines, and interactivity components that enable drill-down, drill-through, slicing, range filtering, and advanced interactivity rules between components all in a declarative way.
Studio CLI saves you time when creating advanced data applications. It translates Studio dashboards into native web applications with code that is easy to understand and make it your own. Generated applications include all the visualizations and interactivity of the original Studio dashboard. No limit exists on how many sources can be used within an application. End-users are able to interact, filter, drill-in, and drill-thru across all sources.
This interactive application visualizes the stream of US Airline tweets from May 11, 2021 to April 30, 2022.
You can identify top entities and phrases, analyze specific categories and sentiments, narrow down negative sentiment to specific themes and airlines, see volume trends, and replay history day by day!
