Typed Table Transformations

09/08/2018
by   Martin Erwig, et al.
0

Spreadsheet tables are often labeled, and these labels effectively constitute types for the data in the table. In such cases tables can be considered to be built from typed data where the placement of values within the table is controlled by the types used for rows and columns. We present a new approach to the transformations of spreadsheet tables that is based on transformations of row and column types. We illustrate the basic idea of type-based table construction and transformation and lay out a series of research questions that should be addressed in future work.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/05/2019

TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables

Wikipedia tables represent an important resource, where information is o...
research
07/27/2023

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

Relational tables, where each row corresponds to an entity and each colu...
research
02/20/2023

Compressing Tabular Data via Latent Variable Estimation

Data used for analytics and machine learning often take the form of tabl...
research
03/05/2022

Selecting Sub-tables for Data Exploration

We present a framework for creating small, informative sub-tables of lar...
research
08/11/2022

HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data

Tabular visualization techniques integrate visual representations with t...
research
08/24/2020

Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data

It is common for people to create different types of charts to explore a...
research
01/07/2021

An Algorithm for the Discovery of Independence from Data

For years, independence has been considered as an important concept in m...

Please sign up or login with your details

Forgot password? Click here to reset