12 01 2017
From response to visualisation: how to streamline survey data processing
Before a response given in a survey makes it into a report or spectacular visualisation, it must go through a multistage data handling process. We provide a step-by-step guide to improving data acquisition and cleaning in order to accelerate the presentation of research outcomes and produce better quality responses.
Karol Piekarski
10 01 2017
What does data tell us about culture? Data-driven research
Thanks to data-driven research we are able to explore the relationship between knowledge about the behaviours of social media users with the research on consumers of culture conducted by traditional methods. This way, we combine the accuracy of surveys and their capacity for revealing the motivations of respondents with the advantages of automated analysis of large data sets, which makes it easy to discover the so-far unnoticed trends and relationships.
Karol Piekarski