Represent your Geospatial Data using Folium

Represent your Geospatial Data using Folium

As a part of the Data Science community, Geospatial data is one of the most crucial kinds of data to work with. The applications are as simple as ‘Where’s my food delivery order right now?’

As a part of the Data Science community, Geospatial data is one of the most crucial kinds of data to work with. The applications are as simple as ‘Where’s my food delivery order right now?’ and as complex as ‘What is the most optimal path for the delivery guy?’

What brought me to Folium?

I was recently working on a data science problem involving a lot of gps coordinates. Obviously the very basic question — how do I represent these coordinates on a map in my jupyter notebook? And while we know that plotlygeopy and basemap get the job done, this is the first time I came across Folium and decided to give it a go!

This article is a step by step tutorial on representing your data using folium.

Introduction

Folium essentially is used for generating interactive maps for the browser (inside notebooks or on a website). It uses leaflet.js , a javascript library for interactive maps.

To put it in a one-liner: _**_Manipulate your data in Python, then visualize it in on a Leaflet map via folium.**

gis geospatial maps data-science visualization data analysis

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