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Published in Towards Data Science

·Jan 13

Cohort Analysis in R the Easy Way

Using the cohorts package to analyse customer retention faster — Visualising customer and user retention is a useful way for e.g. retail and subscription businesses to keep track of how long customers and users tend to stay with them and spot differences in how cohort sizes change over time. While there are various approaches to customer retention, it may often…

R

8 min read

Cohort Analysis in R the Easy Way
Cohort Analysis in R the Easy Way

Published in Towards Data Science

·Apr 15, 2021

Dockerizing and Deploying a Shiny Dashboard on Google Cloud

A step-by-step guide to bringing Shiny to the cloud — Shiny apps and dashboards are highly versatile tools that allow end users to interact with data in various ways while app functionality is supported by R code running behind the scenes. However, for others to access and benefit from your work, you will need to think about where to deploy…

Data Science

6 min read

Dockerizing and deploying a Shiny dashboard on Google Cloud
Dockerizing and deploying a Shiny dashboard on Google Cloud

Published in MLearning.ai

·Mar 15, 2021

A Place for AI in Publishing?

How computers could help authors and editors make better decisions — The publishing industry can be tough and highly competitive. Only a small fraction of manuscripts actually get published via a publisher and fewer still become bestsellers. The majority of aspiring novelists will therefore have to get used to having their manuscripts rejected by publishers over and over again. For publishers…

Fiction

8 min read

A Place for AI and Data Science in Publishing?
A Place for AI and Data Science in Publishing?

Published in Analytics Vidhya

·Jan 7, 2021

Visualizations to Make Sense of Your Customer Feedback

How leveraging NLP technology can help unveil what your customers are saying — Review sites and other sources of customer feedback offer companies overall ratings and computed scores to track their customers’ overall satisfaction. But these are essentially aggregated numbers that do not offer much help in identifying and quantifying specific strengths and weaknesses with regards to the customer experience.

NLP

4 min read

Visualizations to Make Sense of Your Customer Feedback
Visualizations to Make Sense of Your Customer Feedback

Published in Towards Data Science

·Dec 31, 2020

Monitoring Stock Performance made easy with R and Shiny

How you can create a web app that tracks your favorite stocks — Comparing the performance of many stocks in a single visualization can be time consuming. It is particularly tedious if you want to do this over and over again. …

R

5 min read

Monitoring Stock Performance made easy with R and Shiny
Monitoring Stock Performance made easy with R and Shiny
Peer Christensen

Peer Christensen

I am a data scientist based in Copenhagen

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