In the examples below, diamonds dataset from ggplot2 package is considered. This is how a diamond dataset looks like:
Following are four different technique/method using which one could retrieve a data frame column as a vector.
# In the data set shown above, carat represents column name and hence, [['carat']]
carat1 <- diamonds[['carat']]
# In the data set shown above, carat represents 1st column and hence, index 1
carat2 <- diamonds[,1]
# Pay attention to usage of dollar $ operator
carat3 <- diamonds$carat
# In the data set shown above, carat represents column name and hence, [, "carat"]
carat4 <- diamonds[,"carat"]
When building a regression model or performing regression analysis to predict a target variable, understanding…
If you've built a "Naive" RAG pipeline, you've probably hit a wall. You've indexed your…
If you're starting with large language models, you must have heard of RAG (Retrieval-Augmented Generation).…
If you've spent any time with Python, you've likely heard the term "Pythonic." It refers…
Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and…
As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has…