DataTours: A Data Narratives Framework

Contributors

Abstract

Visual storytelling is commonly employed to communicate data analyses results. Alternatively, (semi-)automated [1, 2, 6] data narratives or “tours” have been proposed as a means to prompt exploration of massive multidimensional datasets, substituting the more prevalent static overviews. While these works demonstrate specific instances of data tours, a concrete model to describe the building blocks of such tours is lacking. We present a descriptive hierarchical framework, DataTours, to formalize and guide the design of (semi-) automated tours for data exploration and discuss challenges evoked by the framework in the (semi-)automated authoring of such tours.

Publications

  • H. Mehta, A. Chalbi, F. Chevalier, and C. and Collins, “DataTours: A Data Narratives Framework,” Proc. of IEEE Conf. on Information Visualization (InfoVis), Posters, 2017.
    [Bibtex] [PDF]
    @poster{meh2017b,
    author = {Hrim Mehta and Amira Chalbi and Fanny Chevalier and and Christopher Collins},
    title = {DataTours: A Data Narratives Framework},
    venue = {Proc. of IEEE Conf. on Information Visualization (InfoVis), Posters},
    series = {Poster},
    address = {Phoenix, USA},
    year = 2017
    }

Research

EduApps – Supporting Non-Native English Speakers to Overcome Language Transfer Effects

Metatation: Annotation as Implicit Interaction to Bridge Close and Distant Reading

DataTours: A Data Narratives Framework

Perceptual Biases in Font Size as a Data Encoding

Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework

Abbreviating Text Labels on Demand

NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations

ConToVi: Multi-Party Conversation Exploration using Topic-Space Views

PhysioEx: Visual Analysis of Physiological Event Streams

Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics

Off-Screen Desktop

PivotSlice

Reading Comprehension on Mobile Devices

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

Optimizing Hierarchical Visualizations with the Minimum Description Length Principle

Lexichrome

SentimentState: Exploring Sentiment Analysis on Twitter

Facilitating Discourse Analysis with Interactive Visualization

DimpVis

Glidgets

TandemTable

Simple Multi-Touch Toolkit

Exploring Text Entities with Descriptive Non-photorealistic Rendering

Investigating the Semantic Patterns of Passwords

Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations

Parallel Tag Clouds to Explore Faceted Text Corpora

VisLink: Revealing Relationships Amongst Visualizations

DocuBurst: Visualizing Document Content using Language Structure

Tabletop Text Entry Techniques

Lattice Uncertainty Visualization: Understanding Machine Translation and Speech Recognition

WordNet Visualization

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