Producing insights with Generalized Additive Models GAMs
Today we are going to learn how to use Generalized Additive Models to predict the number of bicycles rented in Washington D.C. between...- 28685Murphy ≡ DeepGuide
Multinomial Logistic Regression in R
Statistics in R Series- 24804Murphy ≡ DeepGuide
Building Blocks of Causal Inference – A DAGgy approach using Lego
An Introduction to Causal Inference with DAGs and Bayesian Regression- 25604Murphy ≡ DeepGuide
Poisson Regression in R
Statistics in R Series- 28343Murphy ≡ DeepGuide
5 Functions is All You Need to Manage Your Data with dplyr
How to efficiently make your data ready-to-use- 26521Murphy ≡ DeepGuide
How to write a custom function to generate multiple plots in R
An easy introduction to writing custom functions- 29228Murphy ≡ DeepGuide
Exploratory Correlational Analysis in R
Painless and tidyverse-friendly correlational analysis using rstatix- 21063Murphy ≡ DeepGuide
Tabyl – a frequency table for the modern R user
Out with the old, in with the new!- 24289Murphy ≡ DeepGuide
Using ChatGPT to Translate R Code to Python
The first step into translating your code base.- 21718Murphy ≡ DeepGuide
When Is It Wrong to Use Bar Charts?
...and possible ways to fix it- 27974Murphy ≡ DeepGuide
The Starter Guide For Transitioning Your Python Projects To R
R Tutorial Photo by Milad Fakurian on Unsplash Are you curious about delving into the world of R programming? While Python remains the dominant choice amongst the data science community, with approximately 60% of developers using it in 2022¹, there are in- 30161Murphy ≡ DeepGuide
Spider and Parallel Charts in R with the ggvanced Package
An R package for effective visualization of multiple variables- 28199Murphy ≡ DeepGuide
R Toolkit for People Analytics: Telling Your Headcount Story
Working in People Analytics, you are often asked to tell the story of your company’s headcount and how the company evolved to what it is today. I often see this presented as a waterfall chart, which can be great, but it gets murky when trying to sha- 21459Murphy ≡ DeepGuide
5 Jupyter Notebook Tricks I Only Discovered 2 Years Into My Data Science Career
Despite their popularity amongst users of R, Python and Julia, Jupyter Notebooks are rarely used to their full potential. Most users know the basic commands (execute code, comment, save, etc.), but few make use of Jupyter’s hidden tricks – eve- 22195Murphy ≡ DeepGuide
Simulating a Theme Park: Understanding queue times with R
Simulating a theme park to understand queue times and learn how business processes can be optimised in R.- 25363Murphy ≡ DeepGuide
A Bayesian Comparison of School Leaver Outcomes with R and brms
Much is made of what we want to do when we leave school. We get asked as young children what we want to do when we grow up, and then proceed to spend 13 years in pre-Tertiary education. In public policy, much is made around the differences between the Gov- 29319Murphy ≡ DeepGuide
How does Socio-Educational Index Influence School Leaver Outcomes?
ANCOVA - Bayesian Style- 20772Murphy ≡ DeepGuide
A Simple Guide to Understand the apply() Functions in R
Introduction I will start this post by saying that I work daily with R and Python languages. Honestly, I find it easier and more intuitive the way the apply functions are used in Python. Thinking about the reason behind that, I believe it is because there- 21044Murphy ≡ DeepGuide
In-Depth Guide to Creating and Publishing an R Data Package Using Devtools
A step-by-step account of developing my "Richmondway" R Data package, featuring the Expletives Count by Roy Kent.- 27664Murphy ≡ DeepGuide
The Data Scientist's Toolbox: Parsing
Parsing complex documents can be easy if you have the rights tools- 27081Murphy ≡ DeepGuide
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We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag