Python Data Visualization Transcripts
Chapter: Dash
Lecture: Full app demo

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0:00 Now let's run our full dash app and see what it looks like. I'm gonna zoom out a little bit so you can see a little bit more of
0:07 it. So as we talked about we have our histogram here. We now have a scatter plot with all of our normal plotly functionality.
0:18 Notice how this histogram does not have the bar that comes up here so we disabled that. You can still see it here.
0:25 Then we have our year range slider as well as our transmission type selection boxes.
0:32 So let's change the year range slider to may be do 2010 through 2014 and you'll notice that my data is updating in real time based on that selection.
0:47 We can also choose to only have automatic and all of my data updates,
0:55 let's add those in. And then the other really interesting feature that we added is that if you want to see some of the data,
1:04 we have this table down here, there's a nice display of the data. So we're going to just for the purposes of this it is hard because there can
1:12 sometimes be multiple dots on top of each other. So let's let's select the lasso and highlight these two nodes that they turn red.
1:25 And then you can see those items down here showing the three selected points.
1:29 So this is really useful for diving into your data and a really fun kind of
1:35 exploratory tool that we've created. And then we also have our reset selection button that
1:42 we created that keeps track of how many items are selected and then we'll now show only the top 10. So this is a good way to explore your data play
1:55 around with it. Use some of these different widgets and I encourage you to download this file and actually make some changes to it.
2:04 Play around with it and understand how the callbacks work and how the different elements work so that you can customize it for your own specific needs.

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