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Telling stories with data
Transcript of Telling stories with data
Taylor Jonah Chester Keith Ryan
We characterize design differences and relations
We identify distinct genres of narrative visualization
Data visualization is used in various ways
functions in place of writing
involves interactive exploration
involves narrative flow intended by author
involves systematic differences and similarities
This is determined by the author
following the principles of CRAP
These genres gain different viewer responses
Authors utilize this knowledge when making data narratives
across the page
We rely on narrative flow to understand digital data
Connected Scatter Plot
Node Link Diagram
offer a different way of understanding
feed the visual learner
POPULAR DATA NARRATIVE
2D area types of data visualisation are usually geospatial, meaning that they relate to the relative position of things on the earth’s surface.
Temporal visualisations are similar to one-dimensional linear visualisations, but differ because they have a start and finish time and items that may overlap each other.
Multidimensional data elements are those with two or more dimensions. This category is home to many of the most common types of data visualisation.
Hierarchical data sets are orderings of groups in which larger groups encompass sets of smaller groups.
Network data visualisations show how data sets are related to one another within a network.
2.SHOW DONT TELL
3.TELL A STORY
1.MAKE IT UNIVERSAL
REMEMBER THESE IMPORTANT THINGS