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Python for Geospatial Data Analysis
Theory, Tools, and Practice for Location Intelligence
Taschenbuch von Bonny P. McClain
Sprache: Englisch

69,45 €*

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Beschreibung
With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.
With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.
Über den Autor
Dr. Bonny P McClain is a member of the National Press Club, 500 Women Scientists, and Investigational Reporters and Editors allowing access to a wide variety of health policy and health economic discussions.

Bonny applies advanced data analytics including data engineering and geoenrichment to discussions of poverty, race, and gender. Her research targets judgementsabout social determinants, racial equity, and elements of intersectionality to illuminate the confluence of metrics contributing to poverty. Moving beyond zipcodes to explore apportioned socioeconomic data based on underlying population data leads to discovering novel variables based on location to build more context to complex data questions.

In order to influence change or pathways to mitigate factors contributing to "poverty" we need to evaluate the measures that influence the social context. Core themes of racism, class exploitation, sexism and nationalism and heterosexism all contribute to social inequality. Professionally and personally she redefines how we measure these attributes and how we can more accurately identify factors amenable to intervention. Spatial data hosts a variety of physical and cultural features to reveal distribution patterns helping analysts and data professionals understand underlying causes of these patterns. The ability to query these relationships can inform policy and identify solutions.

Bonny is a Tableau User Group Leader, Tableau Speaker's Bureau member and Data Analytics Professional. Her professional goals include working to improve data literacy through education, Tableau skill integration, as well as R, Python, and Tableau Prep tools, exploring large datasets and curating empathetic answers to larger questions--making a big world seem smaller.

Details
Erscheinungsjahr: 2022
Fachbereich: Programmiersprachen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 200
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098104795
ISBN-10: 109810479X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: McClain, Bonny P.
Hersteller: O'Reilly Media
Maße: 231 x 174 x 21 mm
Von/Mit: Bonny P. McClain
Erscheinungsdatum: 04.11.2022
Gewicht: 0,612 kg
preigu-id: 121399964
Über den Autor
Dr. Bonny P McClain is a member of the National Press Club, 500 Women Scientists, and Investigational Reporters and Editors allowing access to a wide variety of health policy and health economic discussions.

Bonny applies advanced data analytics including data engineering and geoenrichment to discussions of poverty, race, and gender. Her research targets judgementsabout social determinants, racial equity, and elements of intersectionality to illuminate the confluence of metrics contributing to poverty. Moving beyond zipcodes to explore apportioned socioeconomic data based on underlying population data leads to discovering novel variables based on location to build more context to complex data questions.

In order to influence change or pathways to mitigate factors contributing to "poverty" we need to evaluate the measures that influence the social context. Core themes of racism, class exploitation, sexism and nationalism and heterosexism all contribute to social inequality. Professionally and personally she redefines how we measure these attributes and how we can more accurately identify factors amenable to intervention. Spatial data hosts a variety of physical and cultural features to reveal distribution patterns helping analysts and data professionals understand underlying causes of these patterns. The ability to query these relationships can inform policy and identify solutions.

Bonny is a Tableau User Group Leader, Tableau Speaker's Bureau member and Data Analytics Professional. Her professional goals include working to improve data literacy through education, Tableau skill integration, as well as R, Python, and Tableau Prep tools, exploring large datasets and curating empathetic answers to larger questions--making a big world seem smaller.

Details
Erscheinungsjahr: 2022
Fachbereich: Programmiersprachen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 200
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781098104795
ISBN-10: 109810479X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: McClain, Bonny P.
Hersteller: O'Reilly Media
Maße: 231 x 174 x 21 mm
Von/Mit: Bonny P. McClain
Erscheinungsdatum: 04.11.2022
Gewicht: 0,612 kg
preigu-id: 121399964
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