2 Search Results for "Chang, Remco"

Document
DOI: 10.4230/OASIcs.PLATEAU.2019.6
Is a Dataframe Just a Table?

Authors: Yifan Wu

Published in: OASIcs, Volume 76, 10th Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU 2019)

Abstract
Querying data is core to databases and data science. However, the two communities have seemingly different concepts and use cases. As a result, both designers and users of the query languages disagree on whether the core abstractions - dataframes (data science) and tables (databases) - and the operations are the same. To investigate the difference from a PL-HCI perspective, we identify the basic affordances provided by tables and dataframes and how programming experiences over tables and dataframes differ. We show that the data structures nudge programmers to query and store their data in different ways. We hope the case study could clarify confusions, dispel misinformation, increase cross-pollination between the two communities, and identify open PL-HCI questions.
Cite as

Yifan Wu. Is a Dataframe Just a Table?. In 10th Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU 2019). Open Access Series in Informatics (OASIcs), Volume 76, pp. 6:1-6:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{wu:OASIcs.PLATEAU.2019.6,
  author =	{Wu, Yifan},
  title =	{{Is a Dataframe Just a Table?}},
  booktitle =	{10th Workshop on Evaluation and Usability of Programming Languages and Tools (PLATEAU 2019)},
  pages =	{6:1--6:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-135-1},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{76},
  editor =	{Chasins, Sarah and Glassman, Elena L. and Sunshine, Joshua},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.PLATEAU.2019.6},
  URN =		{urn:nbn:de:0030-drops-119600},
  doi =		{10.4230/OASIcs.PLATEAU.2019.6},
  annote =	{Keywords: Usability of Programming Languages}
}
Document
DOI: 10.4230/DagRep.7.11.46
Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461)

Authors: Remco Chang, Jean-Daniel Fekete, Juliana Freire, and Carlos E. Scheidegger

Published in: Dagstuhl Reports, Volume 7, Issue 11 (2018)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17461 "Connecting Visualization and Data Management Research".
Cite as

Remco Chang, Jean-Daniel Fekete, Juliana Freire, and Carlos E. Scheidegger. Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461). In Dagstuhl Reports, Volume 7, Issue 11, pp. 46-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{chang_et_al:DagRep.7.11.46,
  author =	{Chang, Remco and Fekete, Jean-Daniel and Freire, Juliana and Scheidegger, Carlos E.},
  title =	{{Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461)}},
  pages =	{46--58},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{11},
  editor =	{Chang, Remco and Fekete, Jean-Daniel and Freire, Juliana and Scheidegger, Carlos E.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.7.11.46},
  URN =		{urn:nbn:de:0030-drops-86708},
  doi =		{10.4230/DagRep.7.11.46},
  annote =	{Keywords: Interactive data analysis, Data visualization, Visual analytics, Data management system, Systems for data science}
}
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