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Asked by Harvir Last Modified
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R programming is a language made for data analysis and statistics. In data science, it helps you:
1. **Analyze Data**: Perform complex statistical tests.
2. **Visualize Data**: Create detailed charts and graphs.
3. **Clean Data**: Organize and prepare data for analysis.
4. **Build Models**: Make predictions using machine learning.
5. **Report Findings**: Create reports and interactive dashboards.
R is powerful because of its specialized tools for analyzing and visualizing data.
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As a programming language, R provides objects, operators and functions that allow users to explore, model and visualize data. R is used for data analysis. R in data science is used to handle, store and analyze data. It can be used for data analysis and statistical modeling. R is an environment for statistical analysis.
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