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DataScience+

@datascienceplus

A home for R & Python tutorials. Written by a community of data enthusiasts. Tutorials on statistics, modeling, visualization, and programming.

datascienceplus.com
Joined August 2015
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Stock-bond correlation in R: since 2022, bonds no longer cushion stocks #rstats datascienceplus.com/stock-bo…
Stock-bond correlation in R: since 2022, bonds no longer cushion stocks

Stock-bond correlation in R: since 2022, bonds no longer cushion stocks

Between November 2000 and July 2022, every three-year window of monthly returns had US stocks and 10-year Treasury bonds moving in opposite directions: when…

datascienceplus.com
53
Inflation-adjusted home prices in R: record highs in dollars, but how once you take out inflation #rstats datascienceplus.com/inflatio…
Inflation-adjusted home prices in R: record highs in dollars, but what is once you take out...

Inflation-adjusted home prices in R: record highs in dollars, but what is once you take out...

Zillow's typical US home value reached another record in August 2026: $368,697, the highest since its series begins in 2000, and 17 of Zillow's 50 largest…

datascienceplus.com
48
College graduation rates in R: the average college vs. average student #rstats datascienceplus.com/college-…
College graduation rates in R: the average college vs. average student

College graduation rates in R: the average college vs. average student

What share of students who start at a US four-year college finish a degree there? The Department of Education's College Scorecard has a six-year graduation…

datascienceplus.com
122
Why does as.Date() give the wrong day in R? #rstats datascienceplus.com/converti…
72
How to Run a Welch ANOVA in R When Group Variances Differ #rstats datascienceplus.com/how-to-r…
How to Run a Welch ANOVA in R When Group Variances Differ

How to Run a Welch ANOVA in R When Group Variances Differ

I was reading R's own help pages back to back when I noticed that its defaults contradict each other. t.test() compares two groups without assuming their…

datascienceplus.com
83
Real Plug-and-Play Supervised Learning AutoML using R and lares #rstats datascienceplus.com/real-plu…
Real Plug-and-Play Supervised Learning AutoML using R and lares

Real Plug-and-Play Supervised Learning AutoML using R and lares

The lares package has multiple families of functions to help the analyst or data scientist achieve quality robust analysis without the need of much coding…

datascienceplus.com
91
How to Map Food Deserts in R #rstats datascienceplus.com/how-to-m…
How to Map Food Deserts in R

How to Map Food Deserts in R

I wanted to map where fresh food is hard to reach, and the question that ended up mattering was not where the stores are. It was what counts as a store. A…

datascienceplus.com
75
Mapping a Hospital Desert in R #rstats datascienceplus.com/mapping-…
Mapping a Hospital Desert in R

Mapping a Hospital Desert in R

A "hospital desert" map measures, for each neighborhood, the distance to the nearest hospital. You have probably seen one: they are a staple of health-access…

datascienceplus.com
86
Building a Simple LLM Cost and Risk Visibility Tool in Python #python datascienceplus.com/building…
Building a Simple LLM Cost and Risk Visibility Tool in Python

Building a Simple LLM Cost and Risk Visibility Tool in Python

Most teams experimenting with large language models start with the same question: Can we make this work? A developer builds a prototype. A product manager…

datascienceplus.com
59
Mapping a Hospital Desert in R #rstats datascienceplus.com/mapping-…
Mapping a Hospital Desert in R

Mapping a Hospital Desert in R

A "hospital desert" map measures, for each neighborhood, the distance to the nearest hospital. You have probably seen one: they are a staple of health-access…

datascienceplus.com
82
Mapping the American Commute in R with Census Data #rstats datascienceplus.com/mapping-…
Mapping the American Commute in R with Census Data

Mapping the American Commute in R with Census Data

How long is your drive to work, and how does it compare to the rest of the country? The US Census Bureau asks that exact question of millions of households…

datascienceplus.com
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73
How to import NHANES data and run a linear and logistic regression, in Python and R #python #rstats datascienceplus.com/how-to-i…
How to import NHANES data and run a linear and logistic regression, in Python and R

How to import NHANES data and run a linear and logistic regression, in Python and R

This post shows, side by side, the Python and R code to import data from the US National Health and Nutrition Examination Survey (NHANES) and run a linear and…

datascienceplus.com
75
Base R glm() vs tidymodels for Logistic Regression: What You Actually Gain #rstats datascienceplus.com/base-r-g…
Base R glm() vs tidymodels for Logistic Regression: What You Actually Gain

Base R glm() vs tidymodels for Logistic Regression: What You Actually Gain

When you need to run a logistic regression in R, your modeling routine is probably three base functions: glm() to fit, predict() to score, and broom's tidy()…

datascienceplus.com
85
Mapping the American Commute in R with Census Data #rstats datascienceplus.com/mapping-…
Mapping the American Commute in R with Census Data

Mapping the American Commute in R with Census Data

How long is your drive to work, and how does it compare to the rest of the country? The US Census Bureau asks that exact question of millions of households…

datascienceplus.com
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72
Taking the baseline measurement into account: constrained LDA in R #rstats datascienceplus.com/taking-t…
Taking the baseline measurement into account: constrained LDA in R

Taking the baseline measurement into account: constrained LDA in R

In Randomized Controlled Trials (RCTs), a “Pre” measurement is often taken at baseline (before randomization), and treatment effects are measured at one or…

datascienceplus.com
49
Principal Component Analysis (PCA) with Python #python datascienceplus.com/principa…
Principal Component Analysis (PCA) with Python

Principal Component Analysis (PCA) with Python

Principal Component Analysis(PCA) is an unsupervised statistical technique used to examine the interrelation among a set of variables in order to identify the…

datascienceplus.com
53
Imputing Missing Data in R: mice, missRanger, and VIM Compared #rstats datascienceplus.com/imputing…
Imputing Missing Data in R: mice, missRanger, and VIM Compared

Imputing Missing Data in R: mice, missRanger, and VIM Compared

Almost ten years ago we published two tutorials on imputing missing data with the mice package (and a simpler walkthrough here). They are still among the…

datascienceplus.com
46
From Wide to Long: Reshaping World Bank Data with pivot_longer #rstats datascienceplus.com/from-wid…
From Wide to Long: Reshaping World Bank Data with pivot_longer

From Wide to Long: Reshaping World Bank Data with pivot_longer

When you download data from the World Bank, you get a wide dataset: one row per country and one column per year, from 1960 to 2025. This shape is not usable…

datascienceplus.com
51
What Minute Decides a World Cup Final? A Century of Final Goals, Visualized in R datascienceplus.com/what-min…
What Minute Decides a World Cup Final? A Century of Final Goals, Visualized in R

What Minute Decides a World Cup Final? A Century of Final Goals, Visualized in R

Spain won the 2026 World Cup beating Argentina 1–0 with a Ferran Torres goal in the 106th minute. Ninety scoreless minutes, then a champion crowned in extra…

datascienceplus.com
44
Making a Manuscript Table 1 in R: tableone, table1, and gtsummary Compared datascienceplus.com/making-a…
Making a Manuscript Table 1 in R: tableone, table1, and gtsummary Compared

Making a Manuscript Table 1 in R: tableone, table1, and gtsummary Compared

Almost every clinical or epidemiological paper opens with the same table: Table 1, the table of baseline characteristics that describes who was in the study…

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