This workshop deals with the use of the 'multiverse' and 'targets' R packages to address two major challenges. The first challenge is that after collecting the data, there are so many possibilities in how one should clean their data that one might reasonably be nervous about how dependent their eventual findings depend on earlier analytical decisions. The second challenge relates to automatically cleaning and re-analyzing new data. In other words, can we automate the re-analysis of the data.

• Type Learning
• Level Intermediate
• Time Hours
• Cost Paid