Updating R to latest version in R studio on Windows
Updating the existing R version to the latest version from R studio itself on Windows. Simple, yet appealing!
Category: R
Quick and Easy Analytics revision
Hello Friends! I’ll be sharing different resources to quickly revise analytics concepts. Sometimes if you don’t use some concepts for time you may forget and need a quick revision. Here I’m listing out few links you can use to revise.
Exploratory data analysis (EDA) in R
Hello friends! today we’ll be see how to do exploratory data analysis (EDA) in R. EDA is an approach to analyse data and start with it read more. I’ve used medical cost data from Kaggle.
Reshaping data in R
Reshaping data is one of the important steps for data analysis and data transformation. Today we’ll see few of the methods and function in R. The tutorials is easy to follow. I’m using mtcars dataset which is available in R.
How to prevent Overplotting in data analysis
Hello friends! Overplotting is one of common issue faced by analysts during EDA (Exploratory data analysis), data visualization and getting inference the results. We’ll see few methods to prevent it.
dplyr in R
Today we’ll see about the dplyr package in R also known as grammar of data manipulation. In the last tutorial we saw about the ggplot2 which is another famous package in R. It consist of set of functions which helps you for different type of data manipulation. I’ll be using medical cost data set from Kaggle(data source). I’ve listed all possible documentation and resources to learn more about the dplyr package.
ggplot2 in R
Today we’ll be learning about one of the most popular packages in R and which is ggplot2: An Implementation of the Grammar of Graphics. I’m using iris data set which is available in the R. ggplot2 create plot in multiple layers. I’ve used ggplot to create correlation heatmap. I’ve provided more resources in the end of the blog.
How to split Train and Test data in R
Today we’ll be seeing how to split data into Training data sets and Test data sets in R. While creating machine learning model we’ve to train our model on some part of the available data and test the accuracy of model on the part of the data.