A comparison between Python and RStudio
two grades of data analysis
DOI:
https://doi.org/10.26871/killkanatecnica.v6i3.1363Keywords:
data analysis, statistics, programmingAbstract
In our daily life, comparing children, lovers, and the gastronomy of this or that region is commonplace, so I will dedicate this article to that, to comparing "Python" with RStudio, software that today are the boom of the moment for those who work in data, statistics and other distractions in the world of data analysis. For my purpose, I must emphasize that everything that will be included in the following, is the product of a research in the official support documents of each application, as well as in the countless tutorials that are published on sites like YouTube, python.org, hubspot.es, rstudio.org, posit.co, among others.
Downloads
References
Hunter, J. D. (2007). Matplotlib: A 2D Graphics Environment. Computing in Science & Engineering, 9(3), 90-95. DOI: 10.1109/MCSE.2007.55
Wickham, H. (2009). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. ISBN: 978-0-387-98140-6.
Sievert, C. (2019). Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC. ISBN: 9781138331459.
Published
- Abstract 98