Learn about spatial lag of X (SLX) models in Python using Airbnb data in Dublin (2018) /

This dataset contains data related to areas in Dublin, Ireland. Using the Spatial Lag of X (SLX) model, along with derived geographical features, this dataset will examine how an Airbnb's surrounding can influence its price in urban Dublin. This dataset will allow readers to identify the situat...

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Bibliographic Details
Main Author:	Wolf, Levi John (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Airbnb (Firm) > Statistics. Airbnb (Firm) Spatial analysis (Statistics) Python (Computer program language) > Handbooks, manuals, etc. Hospitality industry > Ireland > Dublin > Statistics. Rental housing > Ireland > Dublin > Statistics. Analyse spatiale (Statistique) Python (Langage de programmation) > Guides, manuels, etc. Accueil (Tourisme) > Irlande > Dublin > Statistiques. Logement locatif > Irlande > Dublin > Statistiques. spatial analysis. Hospitality industry Python (Computer program language) Rental housing Ireland > Dublin Handbooks and manuals Statistics
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset contains data related to areas in Dublin, Ireland. Using the Spatial Lag of X (SLX) model, along with derived geographical features, this dataset will examine how an Airbnb's surrounding can influence its price in urban Dublin. This dataset will allow readers to identify the situational determinants and influences on Airbnb price. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.
Physical Description:	1 online resource : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9781526499479 1526499479