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All Blog Posts Tagged 'R' (103)

The Top Skills for a Career in Datascience in 2021

Datascience is exploding in popularity due to how it's tethered to the future of technology, supply-demand for high paying jobs and being on the bleeding edge of corporate culture, startups and innovation!

Students from South and East Asia especially can fast…

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Added by Michael Kevin Spencer on September 12, 2021 at 8:00pm — 1 Comment

Women in Politics | Exploratory Data Analysis in R

It all started in Montana. In 1916, Jeannette Rankin, a peace activist and a strong advocate for women’s suffrage, broke down…
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Added by Justin Schulberg on January 6, 2021 at 9:00am — No Comments

When is programming needed in most leading Self Service configurations

To all Data Analysts big and small:

Many Corporates typically have Self service BI and DWH solutions ( I am asking only about those

who did NOT build an inhouse solution) : 

-When is programming needed in most leading Self Service configurations?

-When do analysts and Business executives require coding and programming when the Self…

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Added by Jacob Goldenberg on December 12, 2020 at 3:58pm — No Comments

Digital Nudging : Influencing online User decisions on Twitter through nudge units

Introduction:

Here’s a fun fact; An average human being (probably an adult) makes close to 30,000 conscious decisions every day. This isn’t entirely true though, in fact, I just made that number up. I could be right because if you think about it, how many decisions would you say you make on a day to day basis? Depending on who you are the above obviously varies widely and you know best. We all…

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Added by CARLVIN JERRY on August 20, 2020 at 3:30am — No Comments

Reinforcement Learning (Q-learning) - Implementation using R (Part 2)

This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1.

In this part, we will implement a simple example of Q learning using the R programming language from scratch. It is expected from you to understand the basics of R programming and complete the reading of Part 1 of this article.

Import libraries

We are coding the algorithms using the R base package…

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Added by Nitin Agarwal on June 4, 2020 at 8:23pm — No Comments

Reinforcement Learning (Q-learning) - An Introduction (Part 1)

Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?

A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…

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Added by Nitin Agarwal on June 4, 2020 at 7:51pm — No Comments

How to Safely Remove a Dynamic Shiny Module

Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blog post, I present how to remove deleted module leftovers and make sure that your Shiny graph observers are rendered just once.

While working with advanced Shiny applications, you have most likely encountered the need for using Shiny…

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Added by Krystian Igras on May 11, 2020 at 12:30am — No Comments

Is R Shiny Versatile Enough to Build a Video Game?

A Video Game? In R Shiny?

For the last two years, RStudio has been organizing a competition to showcase the power and flexibility of Shiny as a framework for creating applications. Lately I’ve been devoting my career to making Shiny apps more beautiful, and…

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Added by Pedro Coutinho Silva on May 7, 2020 at 11:00pm — 1 Comment

Build interactive Tree like D3.js in R

Last year while working on some natural language projects, I happen to stumble on the D3 charts. I was impressed by the quality of the charts and the amount of information one can share using those charts. In particular, I picked a collapsible dendrogram as I wanted to showcase how different topics are related hierarchically. 

Since then, I used and built many interactive charts using some of the most famous packages like plotly and gganimate ( it is an extension of…

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Added by Mohit Sharma on May 5, 2020 at 11:00pm — No Comments

How to combine all csv files from the same folder into one data frame automatically with R?



Have you ever experience a situation where you want to import and combine hundred of datasets? If you do this manually, then it will take too much time. On the other hand, we can use a simple R programming to solve this problem in easily and quickly. Therefore, I would like to share two methods of combining all small files in a directory into a single dataset…

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Added by Michaelino Mervisiano on March 23, 2020 at 4:00am — 1 Comment

Journey to the Center of the DrugBank XML Database - part 1

Objective

In this tutorial, we shall take a journey together to explore the structure of the DrugBank database. We will observe how the drugs information is structured within DrugBank’s XML database and see how this information can be retrieved using R. Our main purpose here is parsing the database from its containing XML file. Let us…

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Added by Mohammed Ali on January 14, 2019 at 9:31am — No Comments

Tutorial: Measuring Holiday Spirit with Pivot Billions and R

Combining Pivot Billions with R to dive into whether the holiday spirit inspires bigger tips and which parts of New York experience this effect the most.…

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Added by Benjamin Waxer on January 14, 2019 at 7:04am — No Comments

The Ultimate R Cheat Sheet - Major Upgrade

The Ultimate R Cheat Sheet simply put makes it easy to learn R. The Ultimate R Cheat Sheet saves you time by providing hyperlinks to the documentation and package-level cheat sheets for the most important packages in R. The latest update doubles its ultimateness by providing a second page that includes Special Topics:

  • Time Series, Forecasting, and Financial…

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Added by Matt Dancho on January 7, 2019 at 3:00am — No Comments

The Ultimate R Cheatsheet

The Ultimate R Cheatsheet

We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developing at Business Science University). The system is revolutionary for a number of reasons (we’ll get to these in a minute). The cornerstone of our teaching process is the Data Science with R Workflow that was originally taught by Hadley Wickham and Garrett Grolemund in the excellent…

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Added by Matt Dancho on November 5, 2018 at 3:30am — No Comments

How to Write an R Function to Match and Merge 2 Files (like VLOOKUP)

Matching and merging 2 files is task I find myself doing all of the time. Historically, I've used VLOOKUP in MS Excel and just worked around any limitations. Finally, I bit the bullet and wrote an R Function that does the trick faster, and with more flexibility. 

(Image added…

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Added by Ray Hall on October 18, 2018 at 9:30am — No Comments

Python Vs R : The Eternal Question for Data Scientists

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.

But which one is better? And, more importantly, which one should you learn?

Both are widely used and are standard tools in the hands of every data scientist.

The answer may surprise you – because as a professional data scientist, you should be ready to deal with…

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Added by Divya Singh on October 2, 2018 at 6:15am — 1 Comment

Free eBooks from Packt

TensorFlow 1.x Deep Learning Cookbook

By Antonio Gulli, Amita Kapoor

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x

In this book, you will learn how to efficiently use TensorFlow, Google's open…

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Added by Packt Publishing on September 27, 2018 at 1:06am — 1 Comment

Getting Started with NLP: Simple Topic Modeling in R (Part 1)

What is NLP?

Natural Language Processing (NLP) can be simply defined as teaching an algorithm to read and analyze human (natural) languages just like the human brain does, but a lot faster than a human could, more accurately and on very large amounts of data.

It is a great skill to have if you are an aspiring data scientist or data analyst because has…

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Added by Aymone Kouame on August 11, 2018 at 2:00pm — No Comments

How to Execute R and Python in SQL Server with Machine Learning Services

Introduction

Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services   in SQLServer eliminates the need for data movement. Instead of transferring large and sensitive data over the network or losing accuracy with sample csv files, you can have your R/Python code execute within your database. Easily deploy your R/Python code with SQL stored procedures making them accessible in your…

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Added by Kyle Weller on June 4, 2018 at 7:00am — 4 Comments

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