I use Wizard all the time at work for analyzing manufacturing data to quickly check for trends and correlations. I find it better, easier, and faster than the i

I use Wizard all the time at work for analyzing manufacturing data to quickly check for trends and correlations. I find it better, easier, and faster than the internal tools purpose-built for the same task. I also prefer Wizard over JMP, Tableau, or any R/numpy/gnuplot methods, specifically for one-off tasks and analyzing new issues. I’m not going to write a script or configure complex software for a quick check. Wizard is perfect for that. It’s also super fast at scanning through really enormous CSV files, then generating plots for every parameter. Every coworker who sees me using it for these tasks wants to know what it is, or how I send out relevant plots so quickly when new datasets are available. It’s really a fantastic tool for quick work. There seems to be a lot of negativity in this comments section about misuse of statistics. I think people are missing the point. Easy tools make data analysis more accessible, but misuse of data is the fault of the user, not the tool.