DJ Showcase: (20 January 2014) is back with a fairly good data journalism story once again. Though the analysis is by another site,, which has created an infographic depicting living costs worldwide for expats. Of the 119 nations featured, India, Nepal and Pakistan have the lowest living costs, while Switzerland, Norway and Venezuela have the highest.

Yes, you read it right. Despite all the inflation talks, India is still one of the cheapest places on earth. Here’a s link to the story and below is the link to the infographic.


DJ Showcase: (22 August 2014)

This one chart tells you everything you need to know about the state of Indian cricket

In yet another brilliant data journalism story, tells us the problem of Indian cricket in just one chart. Of course, you will appreciate the analysis a little better, if you are above 40. The chart shows that the cribbing that the 40-pluses do about T20 ruining test cricket may actually be right.

This chart is the gist of the story, This one chart tells you everything you need to know about the state of Indian cricket. 

Well, the chart pretty much tells you the entire story, if you know basics of cricket.   We like the story because of a number of reasons.

  1. It is application of data journalism in an area that that interests a large section of people in India. The story puts to rest a debate: whether or not the glamorous T20 format is impacting test cricket.  Whats more, it is extremely topical in the wake of India’s disastrous test series in England.
  2. You do not have to read the text at all. If you are tuned in to contemporary cricket, you get the story right away from the chart.
  3. It busts the myth that you need a lot of data analysis in the background to produce a good data journalism story. In this case, it is just simple addition, which a class II student can do.

In our showcase series on good data journalism stories, has clearly come out on top so far, even though it does not claim to be a data journalism site per se. It proves what DataJourno believes as its core philosophy: a good data journalism story must be a good story first. How much of data it contains or how great the visualization looks are not what determine the quality of a data journalism story.


DJ Showcase ( May 2014)

NOTA may have affected outcome in 19 constituencies

This is a simple but very effective example of data journalism, in the new Indian news site,

In a story,  NOTA may have affected outcome in 19 constituencies, the site has analyzed the voting data in the General Elections 2014 to come up with a list of 19 constituencies across India where the results may have been affected by NOTA (None of the above) choices introduced for the first time in this General Elections.

The authors Santosh Sunderesan and Nikita Saxena have analyzed the data to come with interesting insights, such as

  • most of these are rural constituencies
  • all of these are reserved constituencies
  • they all, with one exception,  recorded high voter turnout.

Since many of these are also the Naxalite hit areas, the question to ask is: if the ultra left militants had a role to play in this high NOTA preference?