📝Andy Kirk

Freelance datavisalisator from the UK

The visualisation of Qualitative Data

Classifying & Transformation

Collecting, Converting and extracting data

Categorical Charting

Charting comparisons and distributions by category

Hierarchical Charting

Revealing part-to-whole and hierarchical relationships

Rational Charting

Exploring correlations and connections

Temporal Charting

Plotting discrete and continuous trends over time

Spatial Charting

Mapping spatial patterns through overlays and distortions

Data types

Qualitative(Media)

Unstructured/Multimeda

Video, photo-imagery, audio

Qualitative(Textual)

Unstructured/Text

Newspaper article, survey comments, quotations, tweets, legal prose

Categorical(Nominal)

Grouping/Memberships

Countries, team names, brands, departments, movie genres

Categorical(Ordinal)

Grouping/Levels

Gold, silver, & bronze medals Liking scale (Agree <> Disagree)

Quantitative(Interval)

Magnitude/Scales

Temperature (C/f), shoe size, BMI score, SAT score(education)

Quantitative(Ratio)

Magnitude/Measurements

Prices, age, populations, distances, durations, incidents

Example

Collecting Data

Example transformation

Make it accessible and readable qualitative data document to categories

Categorical transformations of qualitative data

Examples

Use of terms and condition in fiscal bar-chart
Density plots meaning of word positive or negative

Representation of smells data

No bar charts thats gives impression of accuracy.

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