fantastic but now but now if we think about this right imagine in a real-life situation when we we're not only just looking at six rows now we're looking at ten million rows and we want to cater for real-time situations in real time are we able to identify the anomalies in the data set and not only what we just have password change occurrence as a variable we'll have millions more so cool that's where anomaly detection using water encoders can play a role so now we move into the Cagle data set apologies for spelling we are data scientist not