r

How to efficiently make your data ready-to-usePhoto by Kelly Sikkema on UnsplashThose who have worked on real-life tasks with real-life data know that the bigger slice of pie belongs to data wrangling.What I mean by...

How does Justin Trudeau rank compared to previous Prime Ministers?Photo by Dillon Kydd on UnsplashIntroductionIn my last article I created the Josselyn Metric = Scale(Misery Index) + Scale(Violent Crime per 100,000) to...

Source: AuthorIntroductionText classification, which involves categorizing text into specified groups based on its content, is an important natural language processing (NLP) task. Text categorization is supported by a...

It was my great pleasure to present last week to the NYC Data Hackers on the topic of Copilot for R. If you haven't come across Copilot before, it's like an AI-based pair programmer that suggests new lines of code, and...

If you are a programmer then you should have knowledge of conditional statements and their structure and their uses, we can also say that mastering the skill of using conditional statements and running the code while...

How to Build End-to-End Data Project Exploring New Trending Cocomelon Videos from Scratch Using RPhoto by Tony Sebastian on UnsplashCocomelon — Nursery Rhymes is the world's second-largest Youtube channel (155M+...

When it comes to data science, two of the most popular programming languages are R and Python.Both are powerful tools for data analysis and manipulation, but each has its own strengths and weaknesses.In this tutorial,...

Can the past trends of a stock price be used to predict its future movement?Photo by Michael Förtsch on UnsplashIntroductionIn a previous article I successfully used Long Short-Term Memory (LSTM) Networks to predict...

To use R efficiently and create high-level visualizations with R for your data analysis, you will need to install packages. Packages are units of reproducible R code that you can use to add more functionality to R. R...

A data structure is a format for organizing and storing data in programming. Every programmer should have good knowledge about data structure as you will work with them frequently when you use R for data analysis. here...

Jeannie Phan/theispot.com The Research The research was conducted at Ford Motor Co., which funded the work and assisted with data collection. The authors initially interviewed 39 R&D employees at two locations...

Read Time:2 Minute, 14 Second Triggered by an assignment my son had to do for one of his university courses – and given the fairly light weight laptop we have him work with – I decided to make a cloud based...

In the previous Blog, we discussed about R language for data analysis here we will discuss the platform where we can smoothly execute the operations of R. RStudio’s an IDE or integrated development environment. This...

Data visualization is important for communicating results. Selecting the right graphical representation of your data can enhance your data storytelling. In this article, I’ll show you how to implement drill-down using...

The standard procedure to create a Shiny app is straightforward. It involves a single app.R with a ui.R and server.R. But this simplicity also makes it difficult to build production-grade Shiny apps. At Appsilon, we...

Will it be the Philadelphia Eagles or Kansas City Chiefs hoisting the Lombardi Trophy tomorrow night?Photo by Evan Brockett on UnsplashIntroductionI have a theory that I want to test using data analytics and machine...