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R R Tutorials

Learn more about crucial data analysis concepts to get started on data science. Check out our Beginner and Intermediate Tutorials on R programming and start analyzing data!


Linear Models with SparkR 1.5: Uses and Present Limitations Jose A Dianes Jose A Dianes  ●  Spark · R · Machine learning · Data Science  ●  Oct 02, 2015
Linear Models with SparkR 1.5: Uses and Present Limitations

In this analysis we will use SparkR machine learning capabilities in order to try to predict property value in relation to other variables present in the 2013 American Community Survey dataset.

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Exploring geographical data using SparkR and ggplot2 Jose A Dianes Jose A Dianes  ●  Spark · R · Ggplot2 · Data Science  ●  Sep 24, 2015
Exploring geographical data using SparkR and ggplot2

The present analysis will exploit the power of SparkR to analyse large datasets in order to explore the 2013 American Community Survey dataset, more concretely its geographical features.

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Spark & R: data frame operations with SparkR Jose A Dianes Jose A Dianes  ●  Spark · SQL · R · Data Science  ●  Sep 21, 2015
Spark & R: data frame operations with SparkR

In this third tutorial (see the previous one) we will introduce more advanced concepts about SparkSQL with R that you can find in the SparkR documentation, applied to the 2013 American Community Survey housing data. These concepts are related with data frame manipulation, including data slicing, summary statistics, and aggregations.

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Spark & R: loading data into SparkSQL data frames Jose A Dianes Jose A Dianes  ●  Spark · SQL · R · Data Science  ●  Sep 18, 2015
Spark & R: loading data into SparkSQL data frames

In this second Spark & R tutorial, we will read data into a SparkSQL data frame as well as have a quick look at the schema.

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Spark & R: Downloading data and Starting with SparkR using Jupyter notebooks Jose A Dianes Jose A Dianes  ●  Spark · R · Data Science  ●  Sep 17, 2015
Spark & R: Downloading data and Starting with SparkR using Jupyter notebooks

In this tutorial we will use the 2013 American Community Survey dataset and start up a SparkR cluster using IPython/Jupyter notebooks.

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Building Web Data Products with R & Shiny Jose A Dianes Jose A Dianes  ●  R · Data Science · Web development · Shiny  ●  Aug 17, 2015
Building Web Data Products with R & Shiny

The purpose of many data science projects is to end up with a model that can be used within an organisation to solve a particular problem. If this is our case, we need to determine the right representation of that model so it can be shared in the easiest, cheapest, and most effective way. Web data products are an ideal vehicle for delivering...

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Data Science with Python & R: Sentiment Classification Using Linear Methods Jose A Dianes Jose A Dianes  ●  Python · R · Machine learning · Data Science  ●  Aug 10, 2015
Data Science with Python & R: Sentiment Classification Using Linear Methods

Today we will introduce one of those applications of machine learning that leaves you thinking about how to put it into some product or service and build a company around it (and surely some of you with the right set of genes will). Sentiment analysis refers to the use of natural language processing, text analysis and statistical learning to...

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Data Science with Python & R: Dimensionality Reduction and Clustering Jose A Dianes Jose A Dianes  ●  Python · R · Data Science  ●  Aug 03, 2015
Data Science with Python & R: Dimensionality Reduction and Clustering

Introduction An important step in data analysis is data exploration and representation. We have already seen some concepts in Exploratory Data Analysis and how to use them with both, Python and R. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster Analysis we can represent...

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Data Science with Python & R: Exploratory Data Analysis Jose A Dianes Jose A Dianes  ●  Python · R · Data Science  ●  Jul 27, 2015
Data Science with Python & R: Exploratory Data Analysis

Introduction and Getting Data refresh Here we are again, with a new episode in our series about doing data science with the two most popular open-source platforms you can use for the job nowadays. In this case we will have a look at a crucial step of the data analytics process, that of the Exploratory Data Analysis. Exploratory data analysis...

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Data Science with Python & R: Data Frames II Jose A Dianes Jose A Dianes  ●  Python · R · Data Science  ●  Jul 15, 2015
Data Science with Python & R: Data Frames II

We continue here our tutorial on data frames with python and R. The first part introduced the concepts of Data Frame and explained how to create them and index them in Python and R. This part will concentrate on data selection and function mapping. All the source code for the different parts of this series of tutorials and applications can be...

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