R Data Frames

📊 R Data Frames

Data Frames in R are the most important and commonly used data structure for data analysis.

They store data in a tabular (table-like) format with rows and columns.

 1. What is a Data Frame?

  • Two-dimensional structure

  • Each column can have different data types

  • Similar to a table in Excel or SQL

  • Columns are vectors of equal length

 2. Creating a Data Frame


 

 3. Structure of Data Frame


 

Shows:

  • Column names

  • Data types

  • Sample values

 4. Accessing Data Frame Data

a) By Column Name


 

b) By Row & Column Index


 

c) Using $ Operator


 

5. Add New Column


 

 6. Add New Row


 

 7. Remove Column / Row

Remove column


 

Remove row


 

 8. Filtering Data (Very Important)


 

 9. Summary & Statistics


 

 10. Check Dimensions



 

 11. Convert to Data Frame


 

 Data Frame vs Matrix

Feature Data Frame Matrix
Data types Different Same
Usage Data analysis Math
Column names Yes Optional

 Best Practices ✔

  • Use meaningful column names

  • Avoid row names if possible

  • Keep data clean and consistent

📌 Summary

  • Data frames are table-like structures

  • Most used structure in R

  • Columns can have different data types

  • Powerful for filtering & analysis

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