December 2017

Multi-State Churn Analysis with a Subscription Product

December 19, 2017 | tvladeck

Subscriptions are no longer just for newspapers. In this post we explore how we can leverage multi-state churn analysis so brand decision makers can focus their outreach and acquisition efforts toward customers that have a higher probability of remaining in an active state for a longer period of time.
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Insurance Data Science Conference 2018

December 18, 2017 | R on mages' blog

Following five R in Insurance conferences, we are organising the first Insurance Data Science conference at Cass Business School London, 16 July 2018. In 2013, we started with the aim to bring practitioners of industry and academia together to discuss and exchange ideas and needs from both sides. R was and is a ...
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Le Monde puzzle [#1033]

December 18, 2017 | xi'an

A simple Le Monde mathematical puzzle after two geometric ones I did not consider: Bob gets a 2×3 card with three integer entries on the first row and two integer entries on the second row such that (i) entry (1,1) is 1, (ii) summing up subsets of adjacent entries produces all integers from 1 ...
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How to Create Notebooks on Datazar

December 18, 2017 | Datazar

Getting started with notebooks is as easy as clicking a button on Datazar. Notebooks are great tools that make — creating and sharing reproducible analysis — super easy. To create R or Python notebooks, follow these directions: I. Navigate to your project, or create a new one if you don’t have ...
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Data Manipulation in R

December 18, 2017 | R on Locke Data Blog

Data Manipulation in R is now generally available on Amazon. All book links will attempt geo-targeting so you end up at the right Amazon. Prices are in USD as most readers are American and the price will be the equivalent in local currency. Data Mani... [Read more...]

How to Perform Hierarchical Clustering using R

December 18, 2017 | Perceptive Analytics

What is Hierarchical Clustering? Clustering is a technique to club similar data points into one group and separate out dissimilar observations into different groups or clusters. In Hierarchical Clustering, clusters are created such that they have a predetermined ordering i.e. a hierarchy. For example, consider the concept hierarchy of ...
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New Course: Working with Dates & Times in R

December 18, 2017 | gabriel

Hello R users! We just launched another course: Working with Dates and Times in R by Charlotte Wickham! Dates and times are abundant in data and essential for answering questions that start with when, how long, or how often. However, they can be tricky, as they come in a variety ...
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