VARTS: A Tool for the Visualization and Analysis of Representative Time Series Data

TL;DR

VARTS is an interactive visualization tool that efficiently selects and displays representative time series data, reducing clutter and highlighting main trends for large datasets.

Contribution

VARTS integrates M4-based sampling, DTW similarity, and greedy selection into a unified tool for improved large-scale time series visualization.

Findings

Reduces visual clutter in large time series datasets

Preserves essential data patterns for better interpretability

Provides a responsive interface for interactive analysis

Abstract

Large-scale time series visualization often suffers from excessive visual clutter and redundant patterns, making it difficult for users to understand the main temporal trends. To address this challenge, we present VARTS, an interactive visual analytics tool for representative time series selection and visualization. Building upon our previous work M4-Greedy, VARTS integrates M4-based sampling, DTW-based similarity computation, and greedy selection into a unified workflow for the identification and visualization of representative series. The tool provides a responsive graphical interface that allows users to import time series datasets, perform representative selection, and visualize both raw and reduced data through multiple coordinated views. By reducing redundancy while preserving essential data patterns, VARTS effectively enhances visual clarity and interpretability for large-scale time series analysis. The demo video is available at https://youtu.be/mS9f12Rf0jo.