Meteorite Landing Data Visualization with Python

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dc.contributor.advisorDuffany, Jeffrey
dc.contributor.authorAtiles Gil de Lamadrid, Ileana M.
dc.date.accessioned2022-10-28T14:01:06Z
dc.date.available2022-10-28T14:01:06Z
dc.date.issued2022
dc.descriptionVolumen 21, Número 2, 2022en_US
dc.description.abstractFor billions of years, the Earth has witnessed meteorite falls. Meteorites enter the Earth's atmosphere and land in more places than others. Recording on meteorites has been based on sighting and recovery. Many meteorites recoveries had been possible to Earth's conditions (such as cold temperatures) and human dedication. This project aims to corroborate data findings using Python programming language in a JupyterLab web environment. Data visualization of meteorites sample data will help to analyze where they land the most, which is the heaviest in mass and what year had the most landings. Zipf''s law is considered as an approach to investigate if meteorites hitting the Earth follow any distribution pattern.en_US
dc.identifier.citationAtiles Gil de Lamadrid, I. M. & Duffany, J. (2022). Meteorite Landing Data Visualization with Python. Politechne, 21(2), 18-21.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/1746
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.haspartSan Juanen_US
dc.relation.ispartofRevista Politechne;
dc.relation.ispartofseriesRevista Politechne: Ingeniería;
dc.rights.holderEsta Junta Editorial y la Universidad Politécnica de Puerto Rico hacen constar y reconoce que los autores de los artículos, obras literarias y artísticas publicadas en esta Revista Politechnê, se reservan enteramente los derechos de autor y de publicación de los mismos para los efectos de cualquier eventualidad literaria, publicitaria o de cualquier índole.en_US
dc.rights.licenseAll rights reserveden_US
dc.subject.lcshMeteoritesen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Researchen_US
dc.subject.lcshPython (Computer program language)
dc.titleMeteorite Landing Data Visualization with Pythonen_US
dc.typeArticleen_US

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