RankExplorer: Visualization of Ranking Changes in Large Time Series Data

  title={RankExplorer: Visualization of Ranking Changes in Large Time Series Data},
  author={Conglei Shi and Weiwei Cui and Shixia Liu and Panpan Xu and Wei Chen and Huamin Qu},
  journal={IEEE Transactions on Visualization and Computer Graphics},
For many applications involving time series data, people are often interested in the changes of item values over time as well as their ranking changes. For example, people search many words via search engines like Google and Bing every day. Analysts are interested in both the absolute searching number for each word as well as their relative rankings. Both sets of statistics may change over time. For very large time series data with thousands of items, how to visually present ranking changes is… CONTINUE READING
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