Talks

• Relevance of Data Journalism [ talk ]

  The recent election saw a boom in data journalism across media outlets, blogs and social media. But to what extent are we exploring the potential of data sets already out there to tell stories and illuminate major news trends? I argue that there is still a large untapped pool of data sources out there waiting to be exploited in new and imaginative ways. But to do this requires us to move beyond using 'readymade' datasets,put together data from different sources, and often go out there and compile data for ourselves.

  Speaker

  Avinash Celestine is a journalist with the Economic Times.

  Blog: datastories.in
  Twitter: @ac_soc

• Working with Public Data [ talk ]

  A lot of data remains untouched in the public domain. Restructuring and reorganising this data to convert it into usable data requires logic and extra efforts. This talk will cover simple examples of what the speaker has worked on, such as the online info collected major airports and converting them into usable data.

  Speaker

  John Samuel Raja is co-founder of How India Lives, which allows public data to be more easily searched. He was most recently a journalist with the Economic Times.

  Website: http://howindialives.com/blog/
  Twitter: @johnraja

• Visualizing Data Journalism [ talk ]

  A key component of data journalism is visualising data-driven stories to make them interesting and easy to understand for readers. The same data can be visualised in many (MANY!) ways. Without exploring the data, you will end up visualising all your data in pie, line and bar charts. This talk will explain how to decide which visualisation to use, what are the best practises, how to study the properties of data, how it impacts design and ends with a case study. Ritvvij will share some his organisation's experiments with data driven blogs, data rooms and how they think about the future of technology in data journalism might be.

  Speaker

  Ritvvij Parrikh is a programmer, information designer and founder of Pykih Data Visualization.

  Twitter: @ritvvijparrikh