  Data charts are prevalent across various fields due to their efficacy in
conveying complex data relationships. However, static charts may sometimes
struggle to engage readers and efficiently present intricate information,
potentially resulting in limited understanding. We introduce "Live Charts," a
new format of presentation that decomposes complex information within a chart
and explains the information pieces sequentially through rich animations and
accompanying audio narration. We propose an automated approach to revive static
charts into Live Charts. Our method integrates GNN-based techniques to analyze
the chart components and extract data from charts. Then we adopt large natural
language models to generate appropriate animated visuals along with a
voice-over to produce Live Charts from static ones. We conducted a thorough
evaluation of our approach, which involved the model performance, use cases, a
crowd-sourced user study, and expert interviews. The results demonstrate Live
Charts offer a multi-sensory experience where readers can follow the
information and understand the data insights better. We analyze the benefits
and drawbacks of Live Charts over static charts as a new information
consumption experience.
