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All Blog Posts Tagged 'R' (101)

A Comprehensive List Of R Packages For Portfolio Analysis

R language is a free statistical computing environment; hence there are multiple ways/packages to achieve a particular statistical/quantitative output. I am going to discuss here a concise list of R packages that one can use for the modeling of financial risks and/or portfolio optimization with utmost efficiency and effectiveness. The intended audience for this article is financial market analysts interested in using R, and also for quantitatively inclined folks…

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Added by Ranjit Mishra on April 28, 2018 at 2:30am — No Comments

Cluster.OBeu v1.2.1 release on CRAN

Cluster.OBeu v1.2.1 release on CRAN

We are very pleased to announce Cluster.OBeu v1.2.1 on CRAN!

Cluster.OBeu is used on OpenBudgets.eu data mininig tool platform with OpenCPU integration of R and JavaScript to estimate and return the necessary parameters for cluster…

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Added by Kleanthis Koupidis on March 12, 2018 at 4:00am — No Comments

Web Scraping Matrimonial Website with R

In this tutorial, we will cover how to extract information from a matrimonial website using R.  We will do web scraping which is a process of converting data available in unstructured format on the website to structured format which can be further used for analysis.



We will use a R package called rvest which was created by Hadley Wickham. This package simplifies the process of scraping web pages.…

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Added by Deepanshu Bhalla on February 26, 2018 at 9:15am — No Comments

Searching on Google Maps using RStudio

Today I've just faced one challenge...

I work on one project, and we need to decide which assets from this company will be visited initially.

As every project, we have limited budget, so we should find some variables to indicate a priority scale.

After some discussion, someone said: let's find the assets close to schools and hospitals. Those must be inspected firstly than others.

Everybody agreed with the voice, but how would be possible to map every school and…

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Added by Thiago Buselato Maurício on January 25, 2018 at 4:00pm — 3 Comments

5 Free Data Science Books for the New Year

Now that Christmas and the New Year are behind us the nights are becoming a little longer with each passing day. Nevertheless, there's still loads of cold winter nights left to endure (unless you're in the Southern Hemisphere, in which case – throw me a shrimp on the barbie!).

It's time to dust off your New Year resolutions from last year (remember those?) and get ready for a new start, a new you and learn some new data skills.

I’ve thrown together a collection of five…

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Added by Lee Baker on January 24, 2018 at 11:00am — 2 Comments

Analysis on Google's Best Apps of 2017 List

STEP 1: BACKGROUND

As we are put 2017 to a close, "Best of 2017" lists are being released.  I had a look at Google's "Best Apps of 2017" list and I like their…

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Added by Laura Ellis on January 3, 2018 at 8:00am — 1 Comment

How to host a R Shiny App on AWS cloud in 7 simple steps

What is R Shiny App?

R shiny app is an interactive web interface. R shiny app has two components user interface object (UI.R) and server function (Server .R). The two components are passed as arguments to the shiny app function that creates a shiny app object. For more info on how to build Shiny…

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Added by Venkat Raman on November 29, 2017 at 7:18pm — 1 Comment

Best practices of orchestrating Python and R code in ML projects

Today, data scientists are generally divided among two languages — some prefer R, some prefer Python. I will not try to explain in this article which one is…

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Added by Marija Zoldin on September 26, 2017 at 10:00am — No Comments

Create Twitter WordCloud with just 40 lines of RCode

Guess whose twitter handle gives this word cloud? Enough hints present in there. You are right, that is Andrew Ng tweeting about his new Deep Learning course on Coursera! It’s always fun to see data in action; isn’t it? Let’s try and create a similar wordcloud for three world leaders, viz. American President Donald Trump, Indian Prime Minister Narendra Modi, and Russian President Vladimir Putin.…

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Added by Kritika Jalan on September 23, 2017 at 11:30pm — No Comments

Analyzing the relationship of Twitter users towards brands (e. g. Air Berlin)

Social media platforms such as Twitter and Facebook enable everyone to voice their opinions about topics, companies, and products online.

These comments are a great source for companies to analyze their customers’ opinion about their brand or product. However, with billions of Tweets and posts daily, this is can take a lot of time.

Unless of course, you use R J With just a few lines of R-code and the help of machine learning, we’re able to build mood monitoring tools quickly,…

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Added by Daniel Schmeh on September 7, 2017 at 9:30am — No Comments

Naive Principal Component Analysis in R

Principal Component Analysis (PCA) is a technique used to find the core components that underlie different variables. It comes in very useful whenever doubts arise about the true origin of three or more variables. There are two main methods for performing a PCA: naive or less naive. In the naive method, you first check some conditions in your data which will determine the essentials of the analysis. In the less-naive method, you set the those yourself,…

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Added by Pablo Bernabeu on September 6, 2017 at 1:30pm — No Comments

R code and reproducible model development with DVC

DVC is an open source tool that could help with achieving code simplicity, readability and faster model development.The idea is to track files/data dependencies during model development in order to facilitate reproducibility and track data files versioning.  However, DVC is a language agnostic tool and can be used with any programming language. Here we will describe how we can…

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Added by Marija Zoldin on August 4, 2017 at 12:30am — No Comments

Crime Analytics: Visualization of Crime Incident Reports for Summar 2014 in San Francisco and Seattle

  1. In this assignment, some exploratory analysis is done on the criminal incident data from Seattle and San Francisco to visualize patterns and contrast and compare patterns across the two cities.
  2. Data used: The real crime dataset from Summer (June-Aug) 2014 for both of two US cities Seattle and San Francisco has been used for the analysis. The datasets used for…
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Added by Sandipan Dey on July 31, 2017 at 4:00am — No Comments

R Clustering – A Tutorial for Cluster Analysis with R

1.Objective

First of all we will see what is R Clustering, then we will see the Applications of Clustering, Clustering by Similarity Aggregation, use of R amap Package, Implementation of Hierarchical Clustering in R and examples of R clustering in various fields.

2. Introduction to Clustering in…

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Added by Sheetal Sharma on July 19, 2017 at 9:00pm — No Comments

Data visualization apps: What do they add?

Dashboards for data visualization, such as Tableau or R Shiny, enable an interactive exploration of data in the form of plots or tables, through a programming-free interface with drop-down lists and checkboxes. The apps can be useful for both the data analyst and the public.

Visualization apps may be privately consulted as well as published online. There are two main platforms: R Shiny and Tableau. Shiny has a free starter license…

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Added by Pablo Bernabeu on July 15, 2017 at 4:00am — No Comments

100 Free Tutorials for learning R

R language is the world's most widely used programming language for statistical analysis, predictive modeling and data science. It's popularity is claimed in many recent surveys and studies. R programming language is getting powerful day by day as number of supported packages grows. Some of big IT companies such as Microsoft and IBM have also started developing packages on R and offering enterprise version of R.

Table of…

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Added by Deepanshu Bhalla on June 12, 2017 at 12:30am — No Comments

Select Important Variables using Boruta Algorithm

This article explains how to select important variables using boruta package in R. Variable Selection is an important step in a predictive modeling project. It is also called 'Feature Selection'. Every private and public agency has started tracking data and collecting information of various attributes. It results to access to too many predictors for a predictive model. But not every variable is important for prediction of a particular task. Hence it is essential to…

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Added by Deepanshu Bhalla on June 1, 2017 at 9:00am — 1 Comment

Using R and Google’s keyword planner to evaluate size and competitiveness of international markets

About two months ago there was  new SaaS product, the Keyword Hero. It’s the only solution to “decrypt” the organic keywords in Google Analytics that users searched for in order to get to one’s website. We do so by buying lots of data off sources such as plugins and matching the data with our customers’ sessions in Google Analytics (side note: the entire algorithm was coded in R before we refactored it in Python to allow scalability and operability with AWS).

 

Using Keyword…

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Added by Daniel Schmeh on May 29, 2017 at 10:00am — No Comments

Why R is Bad for You

Summary:  Someone had to say it.  In my opinion R is not the best way to learn data science and not the best way to practice it either.  More and more large employers agree.

 

Someone had to say it.  I know this will be controversial and I welcome your comments but in my opinion R is not the best way to learn data science and not the best…

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Added by William Vorhies on May 15, 2017 at 4:30pm — 74 Comments

Dashboards in R

This is a tutorial to show how to implement dashboards in R, using the new "flexdashboard" library package.

this new library leverages these libraries and allows us to create some stunning dashboards, using interactive graphs and text. What I loved the most, was the “storyboard” feature that allows me to present content in Tableau-style frames. Please note that for this you need to create RMarkdown (.Rmd) files and insert the code using the…

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Added by Ann Rajaram on May 13, 2017 at 4:00am — 10 Comments

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