Python Data Visualization Transcripts
0:00 Horizontal and vertical concatenation are useful when we have very different types of charts that we
0:07 want to combine in visualization. But what you're going to want to do more frequently
0:12 is to facet our charts and altair supports this and this example I am creating scatter plots and I'm telling it to facet by the row class summary.
0:23 So what that does is it creates multiple charts where the data is filtered by that class summary, so you can see the cars,
0:32 the other and and so on for a chart on each row if we want a different visualization because those rows don't break down nicely.
0:43 We can say that we want to facet by class summary and maybe do two columns So that will do a side by side and give us a grid of six
0:53 different visualizations. So this is a way to control that faceting. One of the things that's unique about altair is that you can create your chart.
1:03 So here we'll create our base chart and then we will tell it to facet. So this is another way to control the fasting,
1:10 like we've done so far. So we have our grid of individual plots and this makes fascinating by rows or columns very easy and intutive for altair.