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I have to admit my initial thoughts of deep learning were pessimistic and in order to not succumb to impostor syndrome, I put off learning any new techniques in the growing sub field of machine learning, until recently. After attending & ... [Read more...]

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webmockr webmockr is an R library for stubbing and setting expectations on HTTP requests. It is a port of the Ruby gem webmock. webmockr works by plugging in to another R package that does HTTP requests. It currently only works with crul right now, but we plan to add support ... [Read more...]

Hi everyone, In this blog post, I will be short and I will introduce our shiny application on bike self-service stations. Your browser does not support the video tag. The code is in 2 parts, the ui.R file for the interface and the server.R file for the backend. You ... [Read more...]

Great effort has recently been made to encourage also the not-so-experienced to jump into the water and blog about data science. Some of the community’s hot shots gracefully draw attention to blogs of first-times on twitter to give them extra exposure. Most of the blogger newbies write about an ... [Read more...]

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Another R tip. Use seq_len() to avoid The backwards seqeunce bug. Many R users use the “colon sequence” notation to build sequences. For example: for(i in 1:5) { print(paste(i, i*i)) } #__ [1] "1 1" #__ [1] "2 4" #__ [1] "3 9" #__ [1] "4 16" However, the colon notation can be unsafe as … Continue reading R Tip: Use seq_len() to Avoid ... [Read more...]

Often, your R code will rely on having one or more R packages available. A little defensive coding will save users of your code—including future-you—from having to figure out which packages you’re using and then having to manually install them. This … Continue reading → [Read more...]

Download and install R. Download and install RStudio. Read R for Data Science. R provides the backend: the programming language specification and the interpreter. RStudio provides the frontend: the user interface that allows you to interact with R, visualize data, … Continue reading → [Read more...]

This project aims to survey and observe some simple but interesting patterns based on the data collected for used cars on the U.S. market. As a car enthusiast and an owner of several cars (not simultaneous ownership; I am not rich), I feel I can give my insight, from ... [Read more...]

Black-box models, like random forest model or gradient boosting model, are commonly used in predictive modelling due to their elasticity and high accuracy. The problem is, that it is hard to understand how a single variable affects model predictions. As a remedy one can use excellent tools like pdp package (... [Read more...]

Introduction For most of written history, professors have had almost sole control of the bully pulpit in higher education.  Variations on the "kids these days" theme abound. We need go no further than to Plato's quoting of Socrates: "The children now love luxury; they have bad manners, contempt for authority; ... [Read more...]

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I coded my first R/Shiny app a month ago, but never wrote about it anywhere. Here’s the backstory. What the heck is phyllotaxis, anyway? As part of my exploration of the R world I came upon @aschinchon’s fantastic fronkonstin website. It’s a beautiful and creative display ... [Read more...]

Getting our feet wet with dplyr programming - I’ve been putting off trying to suss out dplyr’s tidy evaluation for a long time, but I’ve been experimenting a bit with it so just making some notes here. It’s hard to talk about tidy e... [Read more...]

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