Presenting data the <i>Significance</i> way – Part 2

Abstract The latest instalment of our data visualisation guide, created by Andreas Krause and Nicola Rennie for Significance and our sister platform Real World Data Science, offers authors a complete guide to creating the best data visualisation for the needs of both their article and Significance magazine

Authors

Institutions

Publication Details

Journal
Significance
Published
2024-08-09
DOI
https://doi.org/10.1093/jrssig/qmae061
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Presenting data the Significance way – Part 2

Nicola Rennie, Andreas Krause
Significance
Big Data and Business Intelligence
article

Presenting data the Significance way – Part 2

Nicola Rennie, Andreas Krause
article en

Abstract

Abstract The latest instalment of our data visualisation guide, created by Andreas Krause and Nicola Rennie for Significance and our sister platform Real World Data Science, offers authors a complete guide to creating the best data visualisation for the needs of both their article and Significance magazine

SignificanceVol. 21(4)
Simulations Plus (United States) (US)
Openalex Percentile: Top 82%
Big Data and Business Intelligence
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.

Presenting data the <i>Significance</i> way – Part 2 — Nicola Rennie, Andreas Krause · Significance (2024) | TGRS Research Map | TGRS