We also explored the data to ensure that we weren't overestimating due to "dead IDs" from deleted accounts and photos (which turned out to be a negligible percentage).
For example, the most comprehensive studies began by mapping raw data, further explored the data using one or more cluster detection methods and then applied one or more spatial regression methods to understand the relationship with predictor variables (Dai et al. 2013; Shenoi et al. 2015).
The aha moment came as he explored the data.
Over nearly two years, a group ranging from engineers to geologists to political scientists to anthropologists and public-health professionals explored the data related to disasters in the United States.
First, we explored the data to see whether we could reject two-phase population growth in favor of constant population size [20].
In order to consider if these observations are reliable enough, we explored the data changing some conditions following another two different strategies (data not shown).
