Posted by AbdulMajedRaja RS

Functional Programming + Iterative Web Scraping in R

Web Scraping in R Web scraping needs no introduction among Data enthusiasts. It’s one of the most viable and most essential ways of collecting Data when the data itself isn’t available. Knowing web scraping comes very handy when you are in shortage of data or in need of … Continue reading →

Hindi and Other Languages in India based on 2001 census

India is the world’s largest Democracy and as it goes, also a highly diverse place. This is my attempt to see how “Hindi” and other languages are spoken in India. In this post, we’ll see how to collect data for this relevant puzzle - directly from Wikipedia and How we’re going to … Continue reading →

Regex Problem? Here’s an R package that will write Regex for you

REGEX is that thing that scares everyone almost all the time. Hence, finding some alternative is always very helpful and peaceful too. Here’s a nice R package thst helps us do REGEX without knowing REGEX. REGEX This is the REGEX pattern to test the validity of a … Continue reading →

How to do Tamil Text Analysis & NLP in R

udpipe is a beautiful R package for Text Analytics and NLP and helps in Topic Extraction. While most Text Analytics resources online are only about English, This post picks up a different lanugage - Tamil and fortuntely, udpipe has got a Tamil Language Model. Loading library(udpipe) Tamil … Continue reading →

How to scrape Zomato Restaurants Data in R

Zomato is a popular restaurants listing website in India (Similar to Yelp) and People are always interested in seeing how to download or scrape Zomato Restaurants data for Data Science and Visualizations. In this post, We’ll learn how to scrape / download Zomato Restaurants (Buffets) data … Continue reading →

Combining the power of R and Python with reticulate

R + Py In the word of R vs Python fights, This is a simple (could be called, naive as well) attempt to show how we can combine the power of Python with R and create a new superpower. Like this one, If you have watched The Incredibles before! About this Dataset This dataset contains a bunch … Continue reading →

How to do Topic Extraction from Customer Reviews in R

Topic Extraction is an integral part of IE (Information Extraction) from Corpus of Text to understand what are all the key things the corpus is talking about. While this can be achieved naively using unigrams and bigrams, a more intelligent way of doing it with an algorithm called RAKE is what … Continue reading →

3 tidyverse tricks for most commonly used Excel Features

In this post, We’re simply going to see 5 tricks that could help improve your tooling using {tidyverse}. Create a difference variable between the current value and the next value This is also known as lead and lag - especially in a time series dataset this varaible becomes very important in … Continue reading →

How to Automate EDA with DataExplorer in R

EDA (Exploratory Data Analysis) is one of the key steps in any Data Science Project. The better the EDA is the better the Feature Engineering could be done. From Modelling to Communication, EDA has got much more hidden benefits that aren’t often emphasised while beginners start while teaching … Continue reading →

Do you love Data Science? I mean, the Data part in it

Last week, We talked all about Artificial Intelligence (also Artifical Stupidity) which led me to think about the foundation of Data Science that's the Data itself. I think, Data is the least appreciated entity in the Data Science Value chain. You might agree with me, If you do Data Science … Continue reading →

How to generate meaningful fake data for learning, experimentation and teaching

The Problem There’s one thing about R that a lot of people have as their Top-of-Mind. That’s the black-and-white plot of iris dataset which is definitely a huge boring view of R. That’s boring because of aesthetics but also because it’s such a cliched example used over and over again. … Continue reading →

Extract Top Reddit Posts of #rstats in 3 lines of R Code

This post is kept (literally) minimal to demonstrate how simple is this hack using R (of course could be simple in other languages too). This is also to establish a point that R has got use-cases beyond statistics and data-mining. Objective rstats subreddit is one of the popular sources of … Continue reading →

Beginners Cookbook for Interactive Visualization in R with highcharter

Philosophy This Post is purely aimed at helping beginners with cookbook-style code for Interactive Visualizations using highcharter package in R. About highcharter highcharter by Joshua Kunst R package is a wrapper for the ‘Highcharts’ library including … Continue reading →

How to make Square (Pie) Charts for Infographics in R

Are you looking for some unique way of visualizing your numbers instead of simply using bar charts - which sometimes could be boring the audience - if used, slide after slide? Here’s Square Pie / Waffle Chart for you. Waffle Chart or as it goes technically, Square Pie Chart is just is just a … Continue reading →

How to create unigrams, bigrams and n-grams of App Reviews

This is one of the frequent questions I’ve heard from the first timer NLP / Text Analytics - programmers (or as the world likes it to be called “Data Scientists”). Prerequisite For simplicity, this post assumes that you already know how to install a package and so you’ve got tidytext … Continue reading →