# Mapping It Out
Remember that we wanted to keep longitude and latitude in our geographical\_location data set, and renamed the variables to be short and less messy? This will be useful now since we are going to plot all ports onto a map now!
We will build the map using the `plotly` package. While you could have also plotted all previous graphs with plotly too, it is more cumbersome to do so, but it does an amazing job with maps.
* [ ] Plot a map (it does not have to be a globe!), where all ports are mapped down.
* [ ] When hovering your mouse over a port, you should get a pop-up with the information as in the below example.
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> One option for plotting geographical data is using Plotly's `px.scatter_geo` for a Geographical Scatter Plot. You can find help with the map itself [here](https://plotly.com/python/scatter-plots-on-maps/) and guidance on map styling [here](https://plotly.com/python/map-configuration/).
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> Alternatively, you can utilize `folium.Map` for another approach.
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> Remember, your maps don't need to match exactly as the one above!
>
> One option for plotting geographical data is using Plotly's `px.scatter_geo` for a Geographical Scatter Plot. You can find help with the map itself [here](https://plotly.com/python/scatter-plots-on-maps/) and guidance on map styling [here](https://plotly.com/python/map-configuration/).
>
> Alternatively, you can utilize `folium.Map` for another approach.
>
> Remember, your maps don't need to match exactly as the one above!