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Practical Introduction to Market Basket Analysis – Asociation Rules

May 1, 2019
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Practical Introduction to Market Basket Analysis – Asociation Rules

Introduction Ever wondered why items are displayed in a particular way in retail/online stores. Why certain items are suggested to you based on what you have added to the cart? Blame it on market basket analysis or association rule mining. Resources Below are the links to all the resources related to this post: Slides Code & Data RStudio Cloud What? Market basket analysis uses association rule mining under the...

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A follow up note on our web scraping tutorial

April 12, 2019
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We had published a web scraping tutorial a couple of days back and it had received a good response from the #rstats community. While we thank you for that, we made a mistake in choosing one of the case study as pointed out by @hrbrmstr in this tweet: Whomever runs "R Squared Academy" needs to _really_ learn more about web scraping. https://t.co/jOQRAxFVro clearly...

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Practical Introduction to Web Scraping in R

April 10, 2019
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Practical Introduction to Web Scraping in R

Introduction Are you trying to compare price of products across websites? Are you trying to monitor price changes every hour? Or planning to do some text mining or sentiment analysis on reviews of products or services? If yes, how would you do that? How do you get the details available on the website into a format in which you can analyse it? Can you copy/paste...

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Shiny Apps for Interactive Data Analysis

March 31, 2019
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Shiny Apps for Interactive Data Analysis

We are excited and happy to share a set of shiny apps built for interactive data analysis and teaching at Rsquared Academy. The apps are part of our R packages and presently cover the following topics: Descriptive Statistics Probability Distributions...

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Visually explore Probability Distributions with vistributions

March 13, 2019
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Visually explore Probability Distributions with vistributions

We are happy to introduce the vistributions package, a set of tools for visually exploring probability distributions. Installation # Install release version from CRAN install.packages("vistributions") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/vistributions") Shiny App vistributions includes a shiny app which can be launched using vdist_launch_app() or try the live version here. Read on to learn more about the features of vistributions, or see the vistributions website for detailed documentation...

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Binning Data with rbin

March 11, 2019
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Binning Data with rbin

We are happy to introduce the rbin package, a set of tools for binning/discretization of data, designed keeping in mind beginner/intermediate R users. It comes with two RStudio addins for interactive binning. Installation # Install release version from CRAN install.packages("rbin") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/rbin") RStudio Addins rbin includes two RStudio addins for manually binning data. Below is a demo: Read on to learn more...

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Getting Help in R

March 4, 2019
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Getting Help in R

Introduction In this post, we will learn about the different methods of getting help in R. Often, we get stuck while doing some analysis as either we do not know the correct function to use or its syntax. It is important for anyone who is new to R to know the right place to look for help. There are two ways to look...

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Logistic regression in R using blorr package

February 25, 2019
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Logistic regression in R using blorr package

We are pleased to introduce the blorr package, a set of tools for building and validating binary logistic regression models in R, designed keeping in mind beginner/intermediate R users. The package includes: comprehensive regression output variable selection procedures bivariate analysis, model fit statistics and model validation tools various plots and underlying data If you know how to build models using glm(), you will find blorr very useful....

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Descriptive/Summary Statistics with descriptr

February 19, 2019
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Descriptive/Summary Statistics with descriptr

We are pleased to introduce the descriptr package, a set of tools for generating descriptive/summary statistics. Installation # Install release version from CRAN install.packages("descriptr") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/descriptr") Shiny App descriptr includes a shiny app which can be launched using ds_launch_shiny_app() or try the live version here. Read on to learn more about the features of descriptr, or see the descriptr website for detailed documentation on using the...

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RFM Analysis in R

February 11, 2019
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RFM Analysis in R

We are pleased to announce the rfm package, a set of tools for recency, frequency and monetary value analysis, designed keeping in mind beginner/intermediate R users. It can handle: transaction level data customer level data Installation # Install release version from CRAN install.packages("rfm") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/rfm") Shiny App rfm includes a shiny app which can be launched using rfm_launch_app() or try the live version here. Read on to...

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