Exploring Dictionaries, Classifying Variables, and Imputing Data in the Ames Dataset
The real estate market is a complex ecosystem driven by numerous variables such as location, property features, market trends, and economic indicators. One dataset that offers a deep dive into this complexity is the Ames Housing dataset. Originating from Ames, Iowa, this dataset comprises various properties and their characteristics, ranging from the type of alley access to the property’s overall condition.
In this post, your aim is to take a closer look at this dataset using data science techniques. Specifically, you’ll focus on how to identify categorical and numerical variables, as understanding these variables is crucial for any data-driven decision-making process.
Let’s get started.