Blog Archives

Machine Learning for Drug Adverse Event Discovery

September 26, 2016
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Machine Learning for Drug Adverse Event Discovery

We can use unsupervised machine learning to identify which drugs are associated with which adverse events. Specifically, machine learning can help us to create clusters based on gender, age, outcome of adverse event, route drug was administered, purpose the drug was used for, body mass index, etc. This can help for quickly discovering hidden associations Related Post

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The importance of Data Visualization

September 2, 2016
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The importance of Data Visualization

Before we perform any analysis and come up with any assumptions about the distributions of and relationships between variables in our datasets, it is always a good idea to visualize our data in order to understand their properties and identify appropriate analytics techniques. In this post, let’s see the dramatic differences in conclutions that we Related Post

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Best packages for data manipulation in R

May 17, 2016
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Best packages for data manipulation in R

There are 2 packages that make data manipulation in R fun. These are dplyr and data.table. Both packages have their strengths. While dplyr is more elegant and resembles natural language, data.table is succinct and we can do a lot with data.table in just a single line. Further, data.table is, in some cases, faster (see benchmark Related Post

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Working with databases in R

April 2, 2016
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Working with databases in R

The dplyr package, which is one of my favorite R packages, works with in-memory data and with data stored in databases. In this extensive and comprehensive post, I will share my experience on using dplyr to work with databases. The basic functions of dplyr package are covered by Teja in another post at DataScience+ Using Related Post

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Performing SQL selects on R data frames

March 13, 2016
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Performing SQL selects on R data frames

For anyone who has SQL background and who wants to learn R, I guess the sqldf package is very useful because it enables us to use SQL commands in R. One who has basic SQL skills can manipulate data frames in R using their SQL skills. You can read more about sqldf package from cran. Related Post

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Sentiment Analysis on Donald Trump using R and Tableau

January 2, 2016
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Sentiment Analysis on Donald Trump using R and Tableau

Recently, the presidential candidate Donal Trump has become controversial. Particularly, associated with his provocative call to temporarily bar Muslims from entering the US, he has faced strong criticism. Some of the many uses of social media analytics is sentiment analysis where we evaluate whether posts on a specific issue are positive or negative. We can

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Google scholar scraping with rvest package

January 1, 2016
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Google scholar scraping with rvest package

In this post, I will show how to scrape google scholar. Particularly, we will use the 'rvest' R package to scrape the google scholar account of my PhD advisor. We will see his coauthors, how many times they have been cited and their affiliations. “rvest, inspired by libraries like beautiful soup, makes it easy to

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