## R Programming

At this Data Science Dojo meetup, Phuc Duong talks about Building a Real-Time Sentiment Pipeline for Live Tweets Using Python, R, & Azure

Supplementary Material found here:

https://github.com/gokul180288/meetup…

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dplyr is a a great tool to perform data manipulation. It makes your data analysis process a lot more efficient. Even better, it’s fairly simple to learn and start applying immediately to your work! Oftentimes, with just a few elegant …

As part of submitting to Data Science Dojo’s Kaggle competition you need to create a model out of the titanic data set. We will show you how to do this using RStudio.

Titanic Data Set:

https://www.kaggle.com/c/titanic

Download RStudio:

https://www.rstudio.com/products/rstudio/download/

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In part two of using RStudio for Data Science Dojo’s Kaggle competition, we will show you more advance cleaning functions for your model.

This video assumes you have watched part one, if you have not, view it here:

https://www.youtube.com/watch?v=Zx2TguRHrJE

Titanic …

Microsoft’s Power BI is a powerful technology for quickly creating rich visualizations. Power BI has many practical uses for the modern data professional including executive dashboards, operational dashboards, and visualizations for data exploration/analysis.

Microsoft has also extended Power BI with …

The R programming language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s rich and powerful data visualization capabilities. While tools like Excel, Power BI, and Tableau are often the …

We introduce functions that make it easy to find overlapping and distinct values from two different data sources, intersect and setdiff. These two functions let you see the shared and unique elements from different vectors, making it easy to spot …

In this final tutorial of the dplyr series, we will cover ways to do feature engineering both with dplyr (“mutate” and “transmute”) and base R (“ifelse”). You’ll learn how to impute missing values as well as create new values based …

We cover some basic functions of dplyr including the mighty group_by and summarize combo that makes dividing up datasets a breeze, as well as arrange, select, and filter that help get the data in a cleaner and more organized format. …