This app is able to predict next word based on earlier two words.

Textual analysis is done on U.S. social media data (blogs, news, twitter) collated by SwiftKey. In this publication, graphical plots on Unigram, Bigram, and Trigram were done on combined dataset.

This deck of slides describes the shiny app that generates histogram and time-series plot on divorce cases in Singapore (1980-2016). These cases pertain to divorces filed under Women's Charter, and they present the numbers based on ethnic groups and duration of marriages.

Interactive map of my favourite places in Bukit Batok Singapore. This is done using leaftlet library in R

We are using the R's "mtcars" dataset to perform our analysis. For information, the data for this dataset was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models). The dataset comprises 32 observations on 11 variables. For the purpose of this analysis, we shall use our analysis to derive answers for the following two questions: (1) “Is an automatic or manual transmission better for MPG” (2) "Quantify the MPG difference between automatic and manual transmissions"

This study analyses extreme weather events in the U.S. and their economic and human-social impact. The economic impact was assessed based on damages to property and crops, while the human-social impact was assessed based on number of fatalities and injuries.

These document outlines some simple steps to pre-process the the top 500 companies in the Fortune 1000 2018 dataset downloaded from Kaggle