Publications by Rsquared Academy Blog - Explore Discover Learn
Introducing nse2r
We are excited to announce the nse2r package. NSE (National Stock Exchange) is the leading stock exchange of India, located in the city of Mumbai. While users can manually download data from NSE through a browser, importing this data into R becomes cumbersome. The nse2r R package implements the retrieval of data from NSE and aims to reduce the pr...
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Date & Time in R – Introduction
In this new series Handling Date & Time in R, we will learn to handle date & time in R. We will start off by learning how to get current date & time before moving on to understand how R handles date/time internally and the different classes such as Date & POSIXct/lt. We will spend some time exploring time zones, daylight savings and ISO 8001 stan...
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A Comprehensive Introduction to Handling Date & Time in R
In this tutorial, we will learn to handle date & time in R. We will start off by learning how to get current date & time before moving on to understand how R handles date/time internally and the different classes such as Date & POSIXct/lt. We will spend some time exploring time zones, daylight savings and ISO 8001 standard for representing date/t...
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rfm 0.2.2
We’re excited to announce the release of rfm 0.2.2 on CRAN! rfm provides tools for customer segmentation using Recency Frequency Monetary value analysis. It includes a Shiny app for interactive segmentation. You can install rfm with: install.packages("rfm") In this blog post, we will summarize the changes implemented in the current (0.2.2) and ...
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Handling Categorical Data in R – Part 1
This is part 1 of a series on “Handling Categorical Data in R.” Almost every data science project involves working with categorical data, and we should know how to read, store, summarize, visualize & manipulate such data. Working with categorical data is different from working with other data types such as numbers or text. In this article, we...
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Handling Categorical Data in R – Part 2
This is part 2 of a series on “Handling Categorical Data in R where we are learning to read, store, summarize, visualize & manipulate categorical data..” In part 1 of this series, we understood what categorical data is, how R stores it using factor and got an overview of the case study we will be working on throughout this series. In this art...
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Handling Categorical Data in R – Part 3
This is part 3 of a series on “Handling Categorical Data in R where we are learning to read, store, summarize, visualize & manipulate categorical data..” In part 1 and part 2 of this series, we understood how R stores categorical data using factor and got an overview of tables in R while learning to summarize data. In this article, we will le...
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Handling Categorical Data in R – Part 4
This is part 4 of a series on “Handling Categorical Data in R” where we are learning to read, store, summarize, reshape & visualize categorical data. Below are the links to the other articles of this series: Part 1 – Introduction to Factor Part 2 – Summarize Categorical Data Part 3 – Reshape Categorical Data In this article, we will e...
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