This document discusses the design and evaluation of a visual analytics interface for analyzing time series data through direct manipulation of trajectories. It proposes an approach that combines playback (for trend discovery) and static views (for hypothesis formation) through repeated exploration. Zooming and other operations are divided into interpretation modes. Evaluation suggests that the interface helps users discover trends based on visual tendencies over time, such as how pitching counts increase overall and affect other metrics differently for various players or datasets.

1. Design and evaluation of visual analytics interface
for time series data based on direct manipulation of trajectory
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4. Parameter
Model
Visualization
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8. 時系列データに対して一意に有効な手法なし
互いに補完する必要
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12. •
• :
再生(傾向発見)と静止(仮説形成)の繰り返しによる探索
ズーム操作などについて, 解釈(対象軸)をモードにより分岐
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17. 時 の 視 覚的 傾 向 (を 根 拠 とし た ) .
時間変化に伴い全体的に投球回数が増えていき, 投球回数が
増えるほどWHIP の変化が , のあたりに
向かって . また, 時間変化に対して
のデータは, WHIP が大きく変化している. (Desc5)
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