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R Programming Language is missing, which is widely used for statistical computing, data analysis, and data visualization. It is popular in academia, research, and industry for its powerful data manipulation and graphical capabilities.
Explain your solution
I propose adding resources for learning R from basics to advanced levels, which will include:
R Basics:
Data types (vectors, lists, matrices, data frames)
Variables and operators
Control structures (if-else, loops)
Functions
Data Manipulation:
Importing and exporting data
Data cleaning
Data transformation with dplyr
-Working with dates and times
Data Visualization:
Base R graphics
ggplot2 for advanced visualization
Creating interactive visualizations with Shiny
Statistical Analysis:
Descriptive statistics
Inferential statistics
Hypothesis testing
Regression analysis (linear and logistic)
Advanced Topics:
Working with large datasets
Parallel computing
Rcpp for integrating C++ code
Creating R packages
Machine Learning:
Introduction to machine learning with R
Using caret and other machine learning packages
Model evaluation and selection
Project Ideas:
Real-world applications
Sample projects
Any alternative approaches/features
To enhance the learning experience, I suggest including important resources such as books, YouTube channels, and websites. This will provide comprehensive and accessible learning material. Additionally, I propose creating a beginner-friendly roadmap to guide learners through the resources step-by-step.
Additional Context
This feature request aims to enrich the programming language section by providing extensive learning materials for R, similar to Python. This will cater to the high demand for R knowledge in data science, statistics, and research fields.
Idea Contribution
Explain feature request
R Programming Language is missing, which is widely used for statistical computing, data analysis, and data visualization. It is popular in academia, research, and industry for its powerful data manipulation and graphical capabilities.
Explain your solution
I propose adding resources for learning R from basics to advanced levels, which will include:
R Basics:
Data Manipulation:
Data Visualization:
Statistical Analysis:
Advanced Topics:
Machine Learning:
Project Ideas:
Any alternative approaches/features
To enhance the learning experience, I suggest including important resources such as books, YouTube channels, and websites. This will provide comprehensive and accessible learning material. Additionally, I propose creating a beginner-friendly roadmap to guide learners through the resources step-by-step.
Additional Context
This feature request aims to enrich the programming language section by providing extensive learning materials for R, similar to Python. This will cater to the high demand for R knowledge in data science, statistics, and research fields.