Visualizing Geospatial Data in Python
|
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
One of the most important tasks of a data scientist is to understand the relationships between their data’s physical location and their geographical context. In this course you’ll be learning to make attractive visualizations of geospatial data with the GeoPandas package. You will learn to spatially join datasets, linking data to context. Finally you will learn to overlay geospatial data to maps to add even more spatial cues to your work. You will use several datasets from the City of Nashville’s open data portal to find out where the chickens are in Nashville, which neighborhood has the most public art, and more!
User Reviews
Be the first to review “Visualizing Geospatial Data in Python”
Related Products
Data Analysis and Visualization Fluency
Enhance your ability to analyze and visualize data fluently using modern tools and techniques.
Intermediate DAX in Power BI
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Introduction to DAX in Power BI
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
Connecting Data in Tableau
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Data Visualization in Tableau
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Data Visualization
Learn to present data visually to make complex data more understandable and actionable.
There are no reviews yet.