Visualizing a Million Time Series with the Density Line Chart

08/17/2018
by   Dominik Moritz, et al.
0

Data analysts often need to work with multiple series of data---conventionally shown as line charts---at once. Few visual representations allow analysts to view many lines simultaneously without becoming overwhelming or cluttered. In this paper, we introduce the DenseLines technique to calculate a discrete density representation of time series. DenseLines normalizes time series by the arc length to compute accurate densities. The derived density visualization allows users both to see the aggregate trends of multiple series and to identify anomalous extrema.

READ FULL TEXT

page 1

page 3

page 6

page 7

page 8

research
07/25/2022

Generic Approach to Visualization of Time Series Data

Time series is a collection of data instances that are ordered according...
research
04/03/2023

Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines

Time series visualization plays a crucial role in identifying patterns a...
research
10/28/2021

Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography

Object density reconstruction from projections containing scattered radi...
research
11/07/2018

At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity

When inspecting information visualizations under time critical settings,...
research
10/25/2021

Semantic Resizing of Charts Through Generalization:A Case Study with Line Charts

Inspired by cartographic generalization principles, we present a general...
research
09/01/2021

STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses

Civil engineers use numerical simulations of a building's responses to s...
research
12/24/2021

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series

The matrix profile is an effective data mining tool that provides simila...

Please sign up or login with your details

Forgot password? Click here to reset