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make large data sets coherent; encourage the eye to compare different pieces of data; reveal the data at several levels of detail, from a broad overview to the fine structure; serve a reasonably clear purpose: description, exploration, tabulation, or decoration; be closely integrated with the statistical and verbal descriptions of a data set.
[3] [4] [5] There are four main fields of application for automated journalism, namely automated content production, Data Mining, news dissemination and content optimization. [6] Through artificial intelligence (AI) software, stories are produced automatically by computers rather than human reporters. These programs interpret, organize, and ...
Likewise, the staff artists at USA Today, the United States newspaper that debuted in 1982, established the goal of using graphics to make information easier to comprehend. However, the paper has received criticism for oversimplifying news stories and for creating infographics that some find emphasizes entertainment over content and data.
The data-driven journalism process. Veglis and Bratsas defined data journalism as "the process of extracting useful information from data, writing articles based on the information, and embedding visualizations (interacting in some cases) in the articles that help readers understand the significance of the story or allow them to pinpoint data that relate to them" [5]
The symbols can be words and numbers, images, face expressions, signals and/or actions. It is very important how a message will be encoded; it partially depends on the purpose of the message. [5] The decoding of a message is how an audience member is able to understand, and interpret the message. It is a process of interpretation and ...
Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. [1] It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [2]
Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.
Charles Joseph Minard's Carte Figurative illustrates facts related to Napoleon's 1812 Russian campaign.. Visual literacy is the ability to interpret, negotiate, and make meaning from information presented in the form of an image, extending the meaning of literacy, which commonly signifies interpretation of a written or printed text.