Automation of exploratory data analysis and univariate geochemical processing using Python

Authors

  • Brayan Jarry Castillo Requiz Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica, Lima, Peru https://orcid.org/0000-0003-3751-2133
  • Jesús Daniel Tarazona Silva Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica, Lima, Peru https://orcid.org/0000-0001-7985-4786
  • Cristian Eugenio Tarazona Silva Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Eléctrica y Electrónica, Lima, Peru https://orcid.org/0000-0002-5340-0468
  • Christian Hurtado Enriquez Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica, Lima, Peru
  • Félix Abraham Cornelio Orbegoso Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica, Lima, Peru https://orcid.org/0000-0001-5532-6209

DOI:

https://doi.org/10.15381/iigeo.v26i51.24493

Keywords:

Exploratory data analysis, univariate analysis, automation, Python, script

Abstract

Process automation is being implemented in different disciplines of earth sciences, as seen in the implementation of libraries such as Pyrolite, PyGeochemCalc, dh2loop 1.0, NeuralHydrology, GeoPyToo among others. The present work addresses a methodology to automate the geochemical univariate analysis by using Python and open-source packages such as pandas, seaborn, matplotlib, statsmodels which will be integrated into a script in a local work environment such as Jupyter notebook or in an online environment such as Google Collaboratory. The script is designed to process any type of geochemical data, allowing to remove outliers, perform calculations and graphs of the elements and their respective geological domain. The results include graphics such as boxplot, quantile-quantile and calculations of normality tests and geochemical parameters, allowing to determine the background and threshold of the elements worked. The result of the geochemical parameters will be further processed in geographic information software which allows to generate the univariate anomaly map and the anomalous basins.

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Published

2023-06-02

Issue

Vol. 26 No. 51 (2023)

Section

Artículos

License

Copyright (c) 2023 Brayan Jarry Castillo Requiz, Jesús Daniel Tarazona Silva, Cristian Eugenio Tarazona Silva, Christian Hurtado Enriquez, Félix Abraham Cornelio Orbegoso

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

AUTHORS RETAIN THEIR RIGHTS:

a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.

b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the Rev. Inst. investig. Fac. minas metal cienc. geogr.

c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).

How to Cite

Castillo Requiz, B. J., Tarazona Silva, J. D., Tarazona Silva, C. E., Hurtado Enriquez, C., & Cornelio Orbegoso, F. A. (2023). Automation of exploratory data analysis and univariate geochemical processing using Python. Revista Del Instituto De investigación De La Facultad De Minas, Metalurgia Y Ciencias geográficas, 26(51), e24493. https://doi.org/10.15381/iigeo.v26i51.24493