Programming language : Python Course Description
- While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance.
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- Graphics desks, which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.
- The purpose of this class is to learn how to think about the visual presentation of data, how and why it works, and how to do it the right way. We will learn how to make graphs like The New York Times, Vox, Pew, and FiveThirtyEight. In the end, you can share–embed your beautiful, interactive charts in publications, blog posts, and websites.
Course Outline This course consists of four modules that focus on Data Journalism.
Module 1: Visualization in Newsrooms Key Concepts:
History and development of data visualization in journalism practice
Types of charts and graphics
Graphical integrity
Lie factor
Data-ink ratio
Chartjunk
Aspect ratios & scales
Module 2: Data and Visual Perception Key Concepts:
Rise of visual journalism
Drilling down on numbers: acquiring, cleaning, formatting, deriving data
Visual perception
Weber's law
Preattentive processing
Visual channel ranking
Module 3: Narrative Storytelling Key Concepts:
Narrative storytelling
Story model
Traditional vs. data driven stories
Narrative framework and emotional appeals
CRAP (contrast, repetition, alignment, and proximity)
Module 4: Cognitive Load and Perception Key Concepts:
Cognition
Looking vs. seeing
Image gist
Gestalt principles
Visual attention
Visual working & long-term memory
Color
Color model
Color perception
Color association
Color palettes for data visualizations
Design for color deficiencies