Origins of information visualization in corporate bullet points: an archaeology of the graphic configuration paradigm in data visualizations (1979–1995)

The present work seeks to highlight the origin of the current paradigm of data visualization design and the logic of creating charts and presentations, which emerged with the personal computer revolution. The initial digital tools developed for producing corporate communication artifacts were crucial in establishing the reasoning and production flow of visualizations up to the present day. Knowing beforehand that the origin of data visualization predates personal computing by centuries, it’s surprising that it is now entirely subject to models and guidelines originating from computer sciences. Through an investigation conducted with an archaeological method adapted to design artifacts, it is possible to understand the discontinuity and abrupt transformations experienced in the conventions and values of this practice. Through this methodological approach, along with the analysis of the productive mindset discourse and the available tools in this specific period, it becomes possible to explain the changes that aparted the craft of visualization artifacts from the domain of art and/or design, subjecting them to corporate sphere empowered by emerging arsenal of information technologies.

Authors

Institutions

Publication Details

Journal
InfoDesign - Revista Brasileira de Design da Informação
Published
2024-10-18
DOI
https://doi.org/10.51358/id.v21i2.1161
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Origins of information visualization in corporate bullet points: an archaeology of the graphic configuration paradigm in data visualizations (1979–1995)

Rafael De Castro Andrade, Guilherme Ranoya
InfoDesign - Revista Brasileira de Design da Informação
Data Visualization and Analytics
article

Origins of information visualization in corporate bullet points: an archaeology of the graphic configuration paradigm in data visualizations (1979–1995)

Rafael De Castro Andrade, Guilherme Ranoya
article en

Abstract

The present work seeks to highlight the origin of the current paradigm of data visualization design and the logic of creating charts and presentations, which emerged with the personal computer revolution. The initial digital tools developed for producing corporate communication artifacts were crucial in establishing the reasoning and production flow of visualizations up to the present day. Knowing beforehand that the origin of data visualization predates personal computing by centuries, it’s surprising that it is now entirely subject to models and guidelines originating from computer sciences. Through an investigation conducted with an archaeological method adapted to design artifacts, it is possible to understand the discontinuity and abrupt transformations experienced in the conventions and values of this practice. Through this methodological approach, along with the analysis of the productive mindset discourse and the available tools in this specific period, it becomes possible to explain the changes that aparted the craft of visualization artifacts from the domain of art and/or design, subjecting them to corporate sphere empowered by emerging arsenal of information technologies.

InfoDesign - Revista Brasileira de Design da InformaçãoVol. 21(2)
Universidade Tecnológica Federal do Paraná (BR), Universidade Federal de Pernambuco (BR), Universidade Federal do Paraná (BR)
Openalex Percentile: Top 79%
Data Visualization and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.