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Great, in the previous lecture I showed
you how a JSON file looks like and in

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this lecture I'll go ahead and add that
JSON fall to the code. Remember I

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provided you with the JSON file in the
previous lecture. You could download it

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from the lecture resources and so this
JSON method gets a data attribute which is

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equal to the file object of the JSON
data so basically you need to create a

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Python file object with which you can
create with open. Remember, open is a

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classic Python method for creating file
objects so there goes the path of the

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file. This happens to be in the same
directory with my map1.py script so I'm

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just passing world.json. Yeah, basically
you're opening it in read mode. And yeah,

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I'll leave it like that for now. Save,
execute. I think we'll get an error here.

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Yeah we need to add an encoding
parameter there as suggested by the

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error message. So that goes inside the
open method. Equals to utf-8-sig.

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Save again, go and execute.

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Reload, and yep we have the polygons displayed on
the map. So that was quite easy to do and

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something you should know is that you
can also add points through through

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GeoJSON so in this case we added
polygons, but that JSON file could also

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have lines or could also have points in
it's attributes. So you know this one we

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had an attribute that was stating these
are multi polygons, but this could be

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points or lines and in that case Folium
will display those features depending on

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this type attribute in here. Of course
you will you also have the coordinates

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attribute with the coordinates of the
line so the points where the line breaks

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and turn and in the case of points you
would have pairs of coordinates here.

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So I hope you get the idea. That was about
this lecture. In the next lecture I'll

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show you how to create a choropleth map
which is a map that uses coloring of

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areas to represent features. In this
particular case what we will do is we will

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have these polygons with different
colors to represent the population of

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the world for each country. We'll do that
in the next lecture. See you!