Best examples of data journalism and computational journalism projects around tax?


I’m starting this thread for anyone who is interested in following data journalism and computational journalism projects around tax, with an initial focus on projects to come out of #PanamaPapers leak as stories unfold over the coming weeks.

For starters, here is a collection of statistical graphs from the ICIJ created by Rigoberto Carvajal, Mar Cabra, Álvaro Ortiz and Fernando Blat:

And here are a series of accompanying network graphs showing how different figures implicated in the leak are connected through various legal entities:

I’ve also started a list of investigation into corporate tax avoidance here, which we’ll be adding to as part of the Open Data for Tax Justice initiative.

Panama Papers: a case for reproducible research, data activism and frictionless data

Here are a few infographics from the Guardian giving an overview of the scale and geography of the leak:


A piece in Wired with a bit more detail about how the 11.5 million documents were analysed:


A couple of infographics in the Irish Times:

Links to graphics in CartoDB:


Some network graphs from Fusion:

As part of their interactive piece here:


Another “behind the scenes” piece by Nieman Lab:


A few examples from the Süddeutsche Zeitung…

Network diagram to highlight connections:

Map showing jurisdictions implicated:

Scale of leaks:

Putin’s network:


Another couple of “behind the scenes” pieces looking at what journalists at Le Monde did with the data:


Hi all,

I’ve been following the topics and data journalism projects and I know that The Guardian posted a nice visualisation on tax havens and capital flight already four years ago.


An interview with data journalist Mar Cabra (who was involved in the project):


A couple of pieces on Panama Papers investigations from network analysis software vendors (via @pudo):


Some video explainers:


Few examples are network diagram to connect the highlights


We took an alternative look to the Panama Papers from the point of view of reproducible research, frictionless data, data activism and citizen engagement. Maybe it can be interesting for you: