Categories: Data Science

Learn R – 5 Techniques to Create Empty Data Frames with Column Names

This article represents techniques on how one could create an empty data frame with column names. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.
5 Techniques to Create Empty Data Frames

In each of the examples below, the data frame is created with three columns, namely, ‘name’, ‘rating’, ‘relyear’. It represents moview names, ratings, and the release year.

# Command data.frame is used
df1 <- data.frame(name="", rating="", relyear="", stringsAsFactors=FALSE)
# Command data.frame is used
df2 <- data.frame(name=character(), rating=character(), relyear=character(), stringsAsFactors=FALSE)
# Usage of read.table command to create empty data frame
df3 <- read.table(text = "",
           colClasses = c("character", "character", "character"),
           col.names = c("name", "rating", "relyear"))

# Usage of read.csv command to create empty data frame
df4 <- read.csv(text="name, rating, relyear")
# Command data.frame is used
df5 = data.frame(matrix(vector(), 0, 3, dimnames=list(c(), c("name", "rating", "relyear"))), stringsAsFactors=FALSE)

You could test the above by assigning a row to the created data frame. Following is the related code sample to assign a row to the empty data frame.

 df1[1,] <- c("Furious 7", "5", "2015")

 

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Recent Posts

Large Language Models (LLMs): Four Critical Modeling Stages

Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…

4 days ago

Agentic Workflow Design Patterns Explained with Examples

As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has…

5 days ago

What is Data Strategy?

In today's data-driven business landscape, organizations are constantly seeking ways to harness the power of…

7 days ago

Mathematics Topics for Machine Learning Beginners

In this blog, you would get to know the essential mathematical topics you need to…

1 month ago

Questions to Ask When Thinking Like a Product Leader

This blog represents a list of questions you can ask when thinking like a product…

1 month ago

Three Approaches to Creating AI Agents: Code Examples

AI agents are autonomous systems combining three core components: a reasoning engine (powered by LLM),…

1 month ago