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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Coches de segunda mano Milanuncios

Authors: Zurdo, Iván Maseda; Pitaluga, Lucas Rey;

Coches de segunda mano Milanuncios

Abstract

Contexto y descripción del dataset El conjunto de datos recolectado incluye distintos datos de los coches que aparecen en el portal milanuncios.com extraído el 09/04/2020. Su objetivo es permitir comparar vehículos de segunda mano en España. El conjunto de datos contiene multitud de campos extraídos de cada uno de los anuncios de coches, incluyendo el título, la referencia y la descripción del anuncio; características del vehículo como la marca, el modelo, o la potencia; y estadísticas de cada anuncio. Licencia: Released Under CC BY-NC-SA 4.0 License Contenido del dataset ‘coches_milanuncios_09_04_2021.csv’ Utilizando técnicas de web scraping como selenium, hemos programado un script que extrae y los guarda en un archivo csv, ‘coches_milanuncios_09_04_2021.csv’. Los distintos campos que contiene el csv son los siguientes: titulo: recoge el título completo del anuncio, que incluye marca y modelo marca: marca del vehículo, extraída del título modelo: modelo del vehículo, extraído del título referencia: referencia inequívoca del anuncio ano_vehic: año de matriculación del vehículo km: nº de kilómetros que ha recorrido ya el vehículo combustible: tipo de combustible utilizado por el vehículo (gasolina / diesel) puertas: nº de puertas que tiene el vehículo cv: potencia del vehículo en caballos de vapor transmision: tipo de transmisión (automático / manual) ubicacion: ubicación del vehículo vendedor: nombre del usuario vendedor precio: precio del vehículo particular: tipo de anunciante (particular / profesional) descripcion: descripción del anuncio por parte del anunciante stats_visto: nº de veces listado stats_contactado: nº de veces contactado stats_compartido: nº de veces compartido stats_favorito: nº de veces añadido a favoritos stats_renovados: nº de veces renovado Código Python y dataset: https://github.com/lreyp/Scraping-Milanuncios-Coches Autores: Iván Maseda Zurdo (https://github.com/imaseda) & Lucas Rey Pitaluga (https://github.com/lreyp)

Este dataset ha sido extraído el 09/04/2020 limitado a 500 registros. Para actualizarlo, puede encontrarse el código en https://github.com/lreyp/Scraping-Milanuncios-Coches.

Keywords

automóvil, automobile, coche, car

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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