Data frames are similar to spreadsheet or database tables. A data frame represents a data with number of rows and columns. Each column can be considered as a vector. So elements in the column must be of same data type and each column must be of same length.
Data frames are so important data structures in R, since they will be used in almost all data analysis tasks. In this video we will learn:
- How to create data frame in R?
- How to convert matrix into data frame?
- How to convert list into data frame?
- How to use rbind and cbind functions to add rows and columns to a data frame?
- How to find out structure of a data frame?
About Author
-------------------------------------------------------------------------------------------------------------------------------------------------
My name is Siddharth Sahasrabudhe. I am a founder of Plotly Analytics. I help business professionals learn data science using R programming. All my learning resources are easy to follow, thorough and anyone can follow them regardless of one's professional and educational background.
Find out more about plotly analytics here:
plotlyanalytic...
Connect with me on LinkedIn:
/ siddharth-sahasrabudhe...
Connect with me on Twitter:
x.com/PlotlyAn...
For one-on -one or group trainings in R language, please contact me at:
siddharth.sahasrabudhe@plotlyanalytics.com
4 сен 2024