Geographic maps are used in the field of data science to visualize and analyze geographic data. Maps typically includes features like countries, states, or cities, and areused to display data that has a geographic component, such as population density or the location of a particular type of business. Geographic maps can be created using a variety of tools and techniques, including Geographic Information Systems (GIS) software, Python libraries like GeoPandas, or online mapping platforms like Google Maps. These maps can be used to explore spatial relationships and patterns in the data, and to communicate the results of a data analysis.
In this tutorial, we’ll be using machine learning to predict and map out crime in San Francisco. We’ll be working with a dataset from Kaggle that contains information on 39 different types of crimes, including everything from vehicle theft to drug offenses. Using Python and the powerful Scikit-Learn library, we’ll train a classification model using … Read more
The spreading of COVID-19 has led to an increased interest in displaying region and country-specific information on geographic heat maps. Geographic heat maps use color shadings to visualize data that includes a spatial component and refers, for example, to countries, cities, towns, mountains, etc. The color shades are defined in a color palette and determined … Read more
