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[1/8] 🤖 Welcome to this thread on integrating R with other programming languages! R is a powerful tool for data analysis and modeling, but combining it with languages like Python, SQL, and JavaScript can unlock even more possibilities! #Rstats #DataScience

Source: https://www.datacamp.com/blog/python-vs-r-for-data-science-whats-the-difference

[2/8] 🐍 R and Python can complement each other in data science projects. Use the 'reticulate' package (github.com) to call Python functions and libraries directly from R, or 'rpy2' (rpy2.github.io) to call R functions from Python. #Rstats #Python

github.com/rstudio/reticu…

GitHub - rstudio/reticulate: R Interface to Python

R Interface to Python. Contribute to rstudio/reticulate development by creating an account on GitHub...

rpy2.github.io

rpy2: Python-R bridge

rpy2 is an interface to R running embedded in a Python process. Consider having a look at the docume...

[3/8] 📊 You can also use both R and Python in Jupyter Notebooks (jupyter.org) by installing the IRkernel (irkernel.github.io) or in R Markdown (rmarkdown.rstudio.com) using the 'python' engine. #Rstats #Python #DataScience

jupyter.org

Project Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code,...

rmarkdown.rstudio.com

R Markdown

Turn your analyses into high quality documents, reports, presentations and dashboards with R Markdow...

irkernel.github.io

IRkernel

[4/8] 🗄️ Integrate R with SQL databases to access and manipulate data. Use R packages like 'RMySQL' (cran.r-project.org), 'RPostgreSQL' (cran.r-project.org), or 'odbc' (github.com) for seamless connections. #Rstats #SQL #DataScience

cran.r-project.org/web/packages/R…

RPostgreSQL: R Interface to the 'PostgreSQL' Database System

Database interface and 'PostgreSQL' driver for 'R'. This package provides a Database Interface 'DBI'...

cran.r-project.org/web/packages/R…

RMySQL: Database Interface and 'MySQL' Driver for R

Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL'...

github.com/r-dbi/odbc

GitHub - r-dbi/odbc: Connect to ODBC databases (using the DBI interface)

Connect to ODBC databases (using the DBI interface) - GitHub - r-dbi/odbc: Connect to ODBC databases...

[5/8] 🎛️ Use R's 'dbplyr' package (github.com) to translate dplyr code into SQL queries, allowing you to work with database data using familiar R syntax. #Rstats #DataScience #dplyr

github.com/tidyverse/dbpl…

GitHub - tidyverse/dbplyr: Database (DBI) backend for dplyr

Database (DBI) backend for dplyr. Contribute to tidyverse/dbplyr development by creating an account...

[6/8] 💻 R can also integrate with JavaScript libraries for interactive data visualization and web applications. Check out 'htmlwidgets' (htmlwidgets.org) for creating custom widgets, and packages like 'plotly' (plotly.com) or 'leaflet'. #RStats #DataScience

htmlwidgets.org

htmlwidgets for R

HTML widgets work just like R plots except they produce interactive web visualizations. A line or tw...

plotly.com/r/

Plotly

Plotly's

[7/8] 🌐 Build interactive web applications with R and JavaScript using Shiny (shiny.rstudio.com) and integrate libraries like D3.js (d3js.org) for advanced visualizations. #Rstats #JavaScript #Shiny #DataScience

d3js.org

D3.js - Data-Driven Documents

D3 is a JavaScript library for visualizing data with HTML, SVG, and CSS.

shiny.rstudio.com

Shiny

Shiny is package that makes it easy to build interactive web apps straight from R & Python.

[8/8] 🔗 Embrace interoperability! Combining R with other programming languages can help you tackle a wide range of data science challenges, build more robust solutions, and collaborate with diverse teams. #Rstats #DataScience

GitHub - rstudio/reticulate: R Interface to Python