TY - GEN
T1 - Towards democratizing relational data visualization
AU - Tang, Nan
AU - Wu, Eugene
AU - Li, Guoliang
PY - 2019/6/25
Y1 - 2019/6/25
N2 - The problem of data visualization is to transform data into a visual context such that people can easily understand the significance of data. Nowadays, data visualization becomes especially important, because it is the de facto standard for modern business intelligence and successful data science. This tutorial will cover three specific topics: visualization languages define how the users can interact with various visualization systems; efficient data visualization processes the data and produces visualizations based on well-specified user queries; smart data visualization recommends data visualizations based on underspecified user queries. In this tutorial, we will go logically through these prior art, paying particular attentions on problems that may attract the interest from the database community.
AB - The problem of data visualization is to transform data into a visual context such that people can easily understand the significance of data. Nowadays, data visualization becomes especially important, because it is the de facto standard for modern business intelligence and successful data science. This tutorial will cover three specific topics: visualization languages define how the users can interact with various visualization systems; efficient data visualization processes the data and produces visualizations based on well-specified user queries; smart data visualization recommends data visualizations based on underspecified user queries. In this tutorial, we will go logically through these prior art, paying particular attentions on problems that may attract the interest from the database community.
KW - Data visualization
KW - Relational data
UR - http://www.scopus.com/inward/record.url?scp=85069475555&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069475555&partnerID=8YFLogxK
U2 - 10.1145/3299869.3314029
DO - 10.1145/3299869.3314029
M3 - Conference contribution
AN - SCOPUS:85069475555
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 2025
EP - 2030
BT - SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data
PB - Association for Computing Machinery
T2 - 2019 International Conference on Management of Data, SIGMOD 2019
Y2 - 30 June 2019 through 5 July 2019
ER -