SINCE 2008 ➔ SCRAPING DATA in the absence of open-data, journalists will often be in the same context, having to spend time to collect, explore and assess the quality of the data.
➔ NON-OPEN DATA – Missing or incomplete data: is the problem in the scraper or in the actual data? – At least you now have a tool to assess (and improve) the data quality
➔ NOT WHAT I THOUGHT – You might expect something about the data, but the visualization might prove your wrong – You might have been looking for something specific but you cannot see it in the visualization See my “30 min of data visualization” workshop for more on this...
➔ DID I TRY HARD ENOUGH? – There's no secret: you'll find something interesting if you explore your data enough. – If everything fails, you can at least get fun facts or controversial examples out of it.