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O SciELO Data é um repositório multidisciplinar para depósito, preservação e disseminação de dados de pesquisa de artigos submetidos e aprovados para publicação, ou já publicados em periódicos da Rede SciELO, ou depositados no SciELO Preprints. Para mais informação consulte scielo.org.

Antes de realizar qualquer depósito, consulte os Termos e condições de uso do repositório SciELO Data.


SciELO Data es un repositorio multidisciplinario para depositar, preservar y difundir datos de investigación de artículos enviados, aprobados para publicación o ya publicados en revistas de la Red SciELO o depositados en SciELO Preprints. Para obtener más información, consulte scielo.org.

Antes de realizar cualquier depósito, consulte el Términos y condiciones de uso de SciELO Data.


SciELO Data is a multidisciplinary repository for deposition, preservation and dissemination of research data from articles submitted and approved for publication, already published in SciELO Network journals or deposited in SciELO Preprints. For more information visit scielo.org.

Before any deposit, consult the SciELO Data Terms and Conditions of Use.

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Tabular Data - 8.2 KB - 1 Variables, 92 Observations - UNF:6:ue3Lv8QZwjfbpGdhKnbEzg==
#Step 4: Chi-Square Test of Independence (Pearson)
Tabular Data - 4.6 KB - 1 Variables, 67 Observations - UNF:6:ymnx5lXG96mMklVPkJutIw==
#Step 6: Multiple Correspondence Analysis (MCA) input dataset
PNG Image - 192.4 KB - MD5: 9e402654e9693f2de6dcd500fd65da41
#Step 6.1.: Descriptive Analysis of MCA dataset
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Readme file - available on github: https://github.com/LABIKS/papers-URBE_2021.git
Markdown Text - 858 B - MD5: 2d895486457c5e7fb783acfb4f6b6acf
Table 3 - Variable Selection for Multiple Correspondence Analysis
MS Excel Spreadsheet - 503.0 KB - MD5: 2627095b704d3f31be329d80578520af
Clasificación Hab/CCMM
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READEME text
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Diagrama s/clasificación Hab/CCMM
Comma Separated Values - 458.5 KB - MD5: 3dd6f40c60e0b4a1f54c9b5151473acb
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