10 Facts About Data journalism

Data journalism or data-driven journalism is a journalistic process based on analyzing and filtering large data sets for the purpose of creating or elevating a news story.

Data journalism is a type of journalism reflecting the increased role that numerical data is used in the production and distribution of information in the digital era.

Data journalism has been widely used to unite several concepts and link them to journalism.

Data-driven journalism strives to reach new levels of service for the public, helping the general public or specific groups or individuals to understand patterns and make decisions based on the findings.

One trend in the digital era of journalism has been to disseminate information to the public via interactive online content through data visualization tools such as tables, graphs, maps, infographics, microsites, and visual worlds.

However, one of the problems for defining data journalism is that many definitions are not clear enough and focus on describing the computational methods of optimization, analysis, and visualization of information.

Investigative data journalism combines the field of data journalism with investigative reporting.

An example of investigative data journalism is the research of large amounts of textual or financial data.

Investigative data journalism can relate to the field of big data analytics for the processing of large data sets.

Data journalism can be obtained directly from governmental databases such as data.