Filtergraph: An Interactive Web Application for Visualization of Astronomy Datasets

TL;DR

Filtergraph is a fast, interactive web tool for visualizing large astronomy datasets, allowing users to create multi-dimensional plots, filter data in real-time, and export high-quality graphics easily.

Contribution

It introduces a web-based platform that enables rapid, flexible visualization and exploration of diverse astronomy datasets with real-time filtering and manipulation features.

Findings

Plots from 3.1 million entries render in less than 2 seconds.

Supports up to 5-dimensional scatter plots, histograms, and tables.

Provides intuitive controls for data filtering and manipulation.

Abstract

Filtergraph is a web application being developed and maintained by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly and rapidly visualize a large variety of astronomy datasets of various formats and sizes. The user loads a flat-file dataset into Filtergraph which automatically generates an interactive data portal that can be easily shared with others. From this portal, the user can immediately generate scatter plots of up to 5 dimensions as well as histograms and tables based on the dataset. Key features of the portal include intuitive controls with auto-completed variable names, the ability to filter the data in real time through user-specified criteria, the ability to select data by dragging on the screen, and the ability to perform arithmetic operations on the data in real time. To enable seamless data visualization and exploration, changes are quickly rendered on screen and visualizations can be exported as high quality graphics files. The application is optimized for speed in the context of large datasets: for instance, a plot generated from a stellar database of 3.1 million entries renders in less than 2 seconds on a standard web server platform. This web application has been created using the Web2py web framework based on the Python programming language. Filtergraph is free to use at http://filtergraph.vanderbilt.edu/.