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When there is increased social activity, trash cans can get full quicker. On the contrary, during very cold weather, trash cans can take one or a couple of more days to get full. Therefore, knowing when trash cans are full is important to pick them up right away rather than ... [Read more...]

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Streaming Data is data that is generated continuously and it includes various sources such as sensors, log files, geospatial services, etc. The data may come at regular intervals and we may want to have a dashboard which updates by itself and incorporates the newly added data so that we can ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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.... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]