Interactive Visualization of Big Data

Mr. Plotter: Unifying Data Reduction Techniques in Storage and Visualization Systems

“…Respawn [12] and BTrDB [4] precompute aggregates, accelerating queries for those aggregates. Visualization tools such as ATLAS [14], ScalaR [9], M4 [23], and Skydive [19] display aggregates instead of raw data. Hierarchical aggregation schemes, in which bins are organized as a tree where each bin is the union of its children, are particularly amenable to visualization [17,5,10].…”

“…Perhaps the existing system most similar to Mr. Plotter is Skydive [19]. As described Section 1, Mr. Plotter improves on Skydive by providing a visualization client that performs automatic data management.…”

“…Some past work has also tried to closely couple the visualization client and the data store. The prior work most similar to Mr. Plotter is Skydive [19], a system for visualizing spatial data. Skydive encodes its data into an aggregate pyramid, with raw data at the base and statistical summaries, at progressively larger bin sizes, as one moves up the pyramid.…”

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB

“…Visualization is widely recognized as a powerful tool for analyzing and exploring time series data, with line charts proving particularly effective for most tasks [2]. As the volume of time series data continues to expand, there is an increasing need for efficient visualization methods capable of handling large datasets [4,10,19]. To address this challenge, downsampling has emerged as a well-established technique that involves either aggregating or selecting a representative subset of the time series [1,2,16].…”