R Data Frames

📊 R Data Frames

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

 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