Modern history of the direction

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Data journalism as we know it today began to emerge in the 1950s. That’s when reporters began using computers to collect data. A prime example of this is the use of computer algorithms to predict the outcome of the 1952 US presidential election. Elliot Jaspen and Philip Meyer are considered the founders of data journalism. Philip Meyer even suggested the first name for this field — “Precision journalism"And Elliot Jaspen helped establish data journalism as an academic discipline.

What do data journalists do today?
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The main task of data journalists is to create attractive content for readers or viewers. The modern human brain processes visual information 60,000 times faster than text. This helps companies attract more viewers to their content, and a modern journalist to apply programming, design and visualization skills in practice.

It is no longer enough for consumers to look at graphs and charts that were used back in the 1950s. And data journalists continue to improve their skills in presenting information. For their work, specialists use various tools, including HubSpot Research, Google Trends, Stats.org. These tools help work with databases. Thing link, Infogr.am, Information is beautiful, Zing Chart and others are used for data visualization.

Requirements for the work of data journalists
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World statistics show that the average annual growth georgia telegram rate of profits in the digital media business sector will be 9.7% until 2020. This means that the demand for specialists working in the field of data journalism will grow.

Simon Rogers, former curator of the Guardian data blog,claims, that today data journalism is more accessible than ever before:

In a world where there are tons of courses, resources, tools for automating data collection and creating digital graphic information, being a data journalist is easy.

A modern data journalist must have the following skills and knowledge:

ability to work with professional application programs;
ability to work with databases;
knowledge of basic statistics, content creation and programming;
proficiency in data visualization tools;
integration of the latest means of presenting information into the traditional information environment.