1956 search results for "tutorial"

Complete dplyr tutorial for data analytics and data manipulation in R

January 14, 2016
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DataCamp just launched its latest interactive course: dplyr. This new course was developed in close collaboration with Garrett Grolemund, RStudio’s master instructor. By taking this dplyr tutorial, you will be challenged one step at a time to master the essentials about transforming data sets fast and intuitively with the dplyr package. Start the course here.The...

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Complete data.table tutorial: Data analysis the data.table way

January 14, 2016
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Together with the key people behind the data.table package, Matt Dowle and Arun Srinivasan,  DataCamp developed a brand new interactive course to bring your data analysis skillset up to date with the essentials of the powerful data.table package. Learn more on the data.table tutorial... The popularity of the data.table package is increasing and with good reason....

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Quandl Tutorial: learn to use quandl in R

January 14, 2016
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Quandl Tutorial: learn to use quandl in R

Quandl is a "wikipedia" for numerical data that allows you to rapidly search  through 8 million ready-to-use data sets. At DataCamp, we created a free Quandl Tutorial on how to use the corresponding R package to access Quandl data from within R.   As every real world data analyst knows, finding and formatting...

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A video tutorial on R programming – The essentials

January 10, 2016
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A video tutorial on  R programming – The essentials

Here is a my video tutorial on R programming – The essentials. This tutorial is meant for those who would like to learn R,  for R beginners or for those who would like to get a quick start on R. This tutorial  tries to focus on those  main functions that any R programmer is likely

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R-Markdown and Knitr Tutorial (Part 2)

December 28, 2015
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In our last post we quickly went over how to create a new R-Markdown document and embed a Plotly graph in it. In this post we’ll get into more details around how to control code output using chunk options. As shown in our previous post, for the embedded R code to be evaluated, it’ll need

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R-Markdown and Knitr Tutorial (Part 1)

December 28, 2015
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R-Markdown is a great way to create dynamic documents with embedded chunks of R code. The document is self contained and fully reproducible which makes it very easy to share. This post will be the first in a multi part series on how to embed Plotly graphs in R-Markdown documents as well as presentations. R-Markdown

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Tutorial: Data Science with SQL Server R Services

December 17, 2015
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Tutorial: Data Science with SQL Server R Services

You may have heard that R and the big-data RevoScaleR package have been integrated with with SQL Server 2016 as SQL Server R Services. If you've been wanting to try out R with SQL Server but haven't been sure where to start, a new MSDN tutorial will take you through all the steps of creating a predictive model: from...

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Tutorials for learning R

December 10, 2015
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There are tons of resources to help you learn the different aspects of R, and as a beginner this can be overwhelming. It’s also a dynamic language and rapidly changing, so it’s important to keep up with the latest tools and technologies. That’s why R-bloggers and DataCamp have worked together to bring you a learning path for R. Each section...

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Building Shiny apps – an interactive tutorial

December 7, 2015
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Building Shiny apps – an interactive tutorial

This tutorial was originally developed for the STAT545 course at UBC, but I decided to publish it shortly afterwards so that more people can benefit from it Shiny is a package from RStudio that can be used to build interactive web pages with R. While that may sound scary because of the words “web pages”, it’s geared...

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A short video tutorial on my R package cricketr

December 7, 2015
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A short video tutorial on my R package cricketr

Take a look at my short video presentation my R package cricketr Also see 1. Sixer – R package cricketr’s new Shiny Avatar 2. Literacy in India : A deepR dive. 3.  Natural Language Processing: What would Shakespeare say? 4. Revisiting crimes against women in India 5. Dabbling with Weiner filter with OpenCV 6.  A method

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