Learn how to Preprocess and Prepare your Geospatial Data
Learn how to use Folium python module for Geospatial Data visualization
Learn to extract time related informations from timestamps
In this project, we are going to learn how to process and analyze geospatial data. we are going to work with a dataset containing information about almost 100 taxis running in Proto, Portugal. We are going to learn how to prepare our data and how to use different geospatial visualization techniques in order to answer some analytical questions. during this project, we will learn how to work with the Folium module in python which is one of the best tools when it comes to geospatial data visualization.
Python Programming
Pandas
Data Visualization (DataViz)
geospatial data analysis
folium
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to the Project
Data Preprocessing
Finding the most common regions to get a taxi part 1
Finding the most common regions to get a taxi part 2
Finding the common destinations on Mondays
Common Destinations on Monday mornings (from 6 to 9 am)
Analyzing rush hour in Porto
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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