A data set contains year to date sales figures for $250$ stores in a retail chain. If the objective is to group stores into deciles based on sales which process should be used? Create dummy variables, Bin by equal count, Standardize, Bin by equal interval An analyst is working with a data set and finds that one of the attributes is strongly right skewed. The best option to address this issue is Data Partitioning, Dummy variable creation, Standardization, Log Transformation, Data Binning