What tools drive open source data journalism?

Data journalism relies heavily on open source tools to analyze large data sets and transform complex information into clear visual stories. While the general field builds on freely available online data and software, specific open source applications help journalists filter numerical data and design graphic representations. These visual formats range from basic charts and graphs to interactive maps and specialized diagrams.

What we know

• Data-driven journalism at its core builds on a growing availability of open data analyzed with open source tools. [2]
• Many data-driven stories begin with newly available resources such as open source software, open access publishing, and open data. [2]
• Data visualization uses visual formats like charts, graphs, geospatial maps, and correlation matrices to present raw data. [3]

Where to go next

• compared withHow does computer-assisted reporting relate to data journalism?
• the bigger pictureWhat is sensor journalism?
• how it workedHow do journalists use interactive infographics?
• whenWhen did precision journalism begin?
• what caused itHow are public records requests used in investigative reporting?
• an unexpected connectionHow legal document databases map public scandalsJust as open source tools analyze general news data, transparent digital archives like EpsteinExposed index court filings and flight logs for public investigation.

Sources

• [1]data journalism (Wikidata Q5227309) · CC0 1.0
• [2]Data journalism · CC BY-SA 4.0
• [3]Data and information visualization · CC BY-SA 4.0
• [4]Sensor journalism · CC BY-SA 4.0
• [5]EpsteinExposed · CC BY-SA 4.0