UNCHARTIT: An Interactive Framework for Program Recovery from Charts

Daniel Ramos, Jorge Pereira, Inês Lynce, Vasco Manquinho, Ruben Martins

Abstract

Charts are commonly used for data visualization. Generating a chart usually involves performing data transformations, including data pre-processing and aggregation. These tasks can be cumbersome and time-consuming, even for experienced data scientists. Reproducing existing charts can also be a challenging task when information about data transformations is no longer available.

BibTeX

@inproceedings{Ramos-al:ASE20,
  author    = {Daniel Ramos and
               Jorge Pereira and
               In{\^{e}}s Lynce and
               Vasco Manquinho and
               Ruben Martins},
  title     = {{UNCHARTIT:} An Interactive Framework for Program Recovery from Charts},
  booktitle = {ASE},
  pages     = {175--186},
  publisher = {{IEEE}},
  year      = {2020},
}

UNCHARTIT: An Interactive Framework for Program Recovery from Charts

Abstract

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