<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Christopher A. Rotunno — Data Analytics Engineer &amp; BI Leader</title><description>Data analytics engineer and BI leader with experience turning raw data into decisions. Portfolio of dashboards, data pipelines, and analytical projects. Based in St. Augustine, FL.</description><link>https://rotunno.io/</link><atom:link href="https://rotunno.io/rss.xml" rel="self" type="application/rss+xml"/><item><title>The Iran War Put Oil Back in the Headlines. I Wanted to Test Where Oil Actually Shows Up in the Economy.</title><link>https://rotunno.io/blog/iran-war-oil-macro-analysis/</link><guid isPermaLink="true">https://rotunno.io/blog/iran-war-oil-macro-analysis/</guid><description>Instead of assuming oil explains everything, I used FRED data to test where it&apos;s actually statistically significant — across inflation, unemployment, payrolls, industrial production, and GDP. The results were more nuanced than the headlines suggest.</description><pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Gas Prices Are Up 32% in a Month. Here&apos;s What the Market Data Suggests.</title><link>https://rotunno.io/blog/gas-prices-32-percent-surge/</link><guid isPermaLink="true">https://rotunno.io/blog/gas-prices-32-percent-surge/</guid><description>National average gas prices hit $3.84/gallon — a 32% jump in one month. I ran a normalized comparison of Brent crude against major oil producers to understand what the market is actually pricing in.</description><pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>The CRISP-DM Framework: A Structured Approach to Business Analytics</title><link>https://rotunno.io/blog/crisp-dm-framework/</link><guid isPermaLink="true">https://rotunno.io/blog/crisp-dm-framework/</guid><description>CRISP-DM is the closest thing data analytics has to a universal playbook. Here&apos;s what the six phases actually mean in practice — and why I keep coming back to it.</description><pubDate>Tue, 11 Mar 2025 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Introduction to Scikit-Learn: The Essential Machine Learning Library</title><link>https://rotunno.io/blog/intro-to-scikit-learn/</link><guid isPermaLink="true">https://rotunno.io/blog/intro-to-scikit-learn/</guid><description>Scikit-Learn is the workhorse of applied machine learning in Python. Here&apos;s what it does, why it&apos;s worth learning deeply, and a practical example to get you started.</description><pubDate>Tue, 11 Mar 2025 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Entropy vs. Gini Impurity: Choosing the Right Split Criterion for Decision Trees</title><link>https://rotunno.io/blog/entropy-vs-gini/</link><guid isPermaLink="true">https://rotunno.io/blog/entropy-vs-gini/</guid><description>Both entropy and Gini impurity measure how mixed a node is in a decision tree — but they differ in computation, behavior, and when each makes sense to use.</description><pubDate>Sat, 08 Feb 2025 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Lasso vs Ridge Regression: A Practical Comparison</title><link>https://rotunno.io/blog/lasso-vs-ridge-regression/</link><guid isPermaLink="true">https://rotunno.io/blog/lasso-vs-ridge-regression/</guid><description>Both Lasso and Ridge add a penalty to linear models to prevent overfitting — but they behave very differently. Here&apos;s when to use each and how to implement both.</description><pubDate>Sat, 08 Feb 2025 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Titanic: Machine Learning from Disaster</title><link>https://rotunno.io/blog/titanic-ml-from-disaster/</link><guid isPermaLink="true">https://rotunno.io/blog/titanic-ml-from-disaster/</guid><description>The Titanic dataset is the classic ML classification benchmark. Here&apos;s a full walkthrough — feature engineering, Random Forest, Logistic Regression, and what the results actually mean.</description><pubDate>Sat, 08 Feb 2025 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>How to Use Grid Search for Hyperparameter Tuning</title><link>https://rotunno.io/blog/grid-search-hyperparameter-tuning/</link><guid isPermaLink="true">https://rotunno.io/blog/grid-search-hyperparameter-tuning/</guid><description>Grid Search exhaustively evaluates every combination in a parameter grid using cross-validation. Here&apos;s how it works, when to use it, and a complete implementation with Scikit-Learn.</description><pubDate>Fri, 07 Feb 2025 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>How to Use Randomized Search for Hyperparameter Tuning</title><link>https://rotunno.io/blog/randomized-search-hyperparameter-tuning/</link><guid isPermaLink="true">https://rotunno.io/blog/randomized-search-hyperparameter-tuning/</guid><description>When your parameter space is too large for Grid Search, Randomized Search samples combinations efficiently. Here&apos;s how it works and when it outperforms the exhaustive alternative.</description><pubDate>Fri, 07 Feb 2025 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Interpreting Federal Reserve Policy Through the Eras: A FRED Data Analysis</title><link>https://rotunno.io/blog/fed-reserve-policy-fred-analysis/</link><guid isPermaLink="true">https://rotunno.io/blog/fed-reserve-policy-fred-analysis/</guid><description>A data-driven look at how U.S. monetary policy has evolved across Fed chairmanships — from Volcker&apos;s inflation shock therapy to Powell&apos;s pandemic-era pivots — using FRED economic data.</description><pubDate>Fri, 20 Sep 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>R in Action: Analyzing the Iris Dataset</title><link>https://rotunno.io/blog/r-iris-dataset-analysis/</link><guid isPermaLink="true">https://rotunno.io/blog/r-iris-dataset-analysis/</guid><description>A hands-on walkthrough of exploratory data analysis using R&apos;s built-in Iris dataset — aggregate functions, median comparisons, and what the numbers actually tell us about species differentiation.</description><pubDate>Wed, 18 Sep 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>R Analysis: Sequences, Simulations, and Random Numbers</title><link>https://rotunno.io/blog/r-sequences-simulations-random/</link><guid isPermaLink="true">https://rotunno.io/blog/r-sequences-simulations-random/</guid><description>A practical guide to generating sequences, running simulations, and working with random numbers in R — covering seq(), sample(), runif(), and when each tool is the right one.</description><pubDate>Wed, 18 Sep 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>6 Leadership Lessons: From Self-Awareness to Emotional Intelligence</title><link>https://rotunno.io/blog/leadership-lessons-self-awareness-eq/</link><guid isPermaLink="true">https://rotunno.io/blog/leadership-lessons-self-awareness-eq/</guid><description>Leadership isn&apos;t a title — it&apos;s a practice. Six lessons on self-awareness, conflict, stress, authenticity, values, and emotional intelligence that hold up under pressure.</description><pubDate>Wed, 11 Sep 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Kroger&apos;s Data Strategy Decoded: A Deep Dive into Retail Analytics</title><link>https://rotunno.io/blog/kroger-retail-data-strategy/</link><guid isPermaLink="true">https://rotunno.io/blog/kroger-retail-data-strategy/</guid><description>How Kroger turned grocery data into a competitive moat — from the SSOT-MVOTs framework to Kroger Precision Marketing, 84.51°, and smart shelving technology.</description><pubDate>Tue, 10 Sep 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Data Analysis in R: Uncovering Chipotle Order Trends</title><link>https://rotunno.io/blog/chipotle-order-trends-r/</link><guid isPermaLink="true">https://rotunno.io/blog/chipotle-order-trends-r/</guid><description>A hands-on walkthrough using real Chipotle order data — loading, aggregating, and visualizing purchase patterns with R and ggplot2.</description><pubDate>Mon, 26 Aug 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>R You Ready? Begin Your Data Analytics Journey with a Coin Flip Simulation</title><link>https://rotunno.io/blog/coin-flip-simulation-r/</link><guid isPermaLink="true">https://rotunno.io/blog/coin-flip-simulation-r/</guid><description>Random sampling, reproducibility, subsetting, and counting outcomes — all through a simple coin flip simulation. The concepts here apply everywhere in data analysis.</description><pubDate>Mon, 26 Aug 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Data Manipulation in R: From Histograms to Winsorizing</title><link>https://rotunno.io/blog/data-manipulation-r-winsorizing/</link><guid isPermaLink="true">https://rotunno.io/blog/data-manipulation-r-winsorizing/</guid><description>Generate synthetic data, compute descriptive stats, filter by condition, and cap outliers using winsorization — the core data cleaning toolkit in base R.</description><pubDate>Sun, 25 Aug 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Chartmetric 2023 Trends: What the Data Says About the Music Industry</title><link>https://rotunno.io/blog/chartmetric-2023-music-industry/</link><guid isPermaLink="true">https://rotunno.io/blog/chartmetric-2023-music-industry/</guid><description>Over 1.3 million new artists, 17 million new tracks, and platforms that didn&apos;t exist a decade ago. Here&apos;s what Chartmetric&apos;s 2023 report reveals about where the industry is heading.</description><pubDate>Tue, 02 Jul 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>How Revenue Flows Through the Music Industry</title><link>https://rotunno.io/blog/music-revenue-streams-flow/</link><guid isPermaLink="true">https://rotunno.io/blog/music-revenue-streams-flow/</guid><description>From the moment a listener streams a song to the moment a songwriter cashes a check — here&apos;s the full map of how money moves through the music industry ecosystem.</description><pubDate>Tue, 02 Jul 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Navigating Music Industry Revenue: From Creation to Consumption</title><link>https://rotunno.io/blog/music-industry-revenue-streams/</link><guid isPermaLink="true">https://rotunno.io/blog/music-industry-revenue-streams/</guid><description>A data-driven breakdown of how money flows through the music industry — PROs, sound recordings, live performance revenue, streaming splits, and what artists actually keep.</description><pubDate>Tue, 13 Feb 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Artists to Fans: The Future of Live Music</title><link>https://rotunno.io/blog/future-of-live-music/</link><guid isPermaLink="true">https://rotunno.io/blog/future-of-live-music/</guid><description>How direct ticket sales, the Live Nation monopoly, and Taylor Swift&apos;s Eras Tour are reshaping the live music industry — and what artists are doing to take back control.</description><pubDate>Sat, 10 Feb 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Artistic Insights 2024: Capitalizing on Trends in Creativity, Trust, and Data-Driven Arts Education</title><link>https://rotunno.io/blog/artistic-insights-2024/</link><guid isPermaLink="true">https://rotunno.io/blog/artistic-insights-2024/</guid><description>How the creative economy is evolving in 2024 — YouTube&apos;s $70B GDP contribution, declining trust in institutions, the rise of individual creators, and what data tells us about arts education outcomes.</description><pubDate>Thu, 01 Feb 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>My Ghostbusters Philosophy in Business</title><link>https://rotunno.io/blog/ghostbusters-philosophy-business/</link><guid isPermaLink="true">https://rotunno.io/blog/ghostbusters-philosophy-business/</guid><description>What a team of underprepared scientists with a proton pack taught me about showing up ready, building systems before you need them, and why preparedness is a professional strategy.</description><pubDate>Mon, 29 Jan 2024 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Regression vs. Classification: Understanding the Difference in Machine Learning</title><link>https://rotunno.io/blog/regression-vs-classification/</link><guid isPermaLink="true">https://rotunno.io/blog/regression-vs-classification/</guid><description>Regression predicts a number. Classification predicts a category. The difference sounds simple, but it shapes everything — which algorithms to use, how to evaluate results, and what your model actually outputs.</description><pubDate>Fri, 21 Jul 2023 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item><item><title>Testing for Interaction and Main Effects in Statistical Analysis</title><link>https://rotunno.io/blog/testing-interaction-main-effects/</link><guid isPermaLink="true">https://rotunno.io/blog/testing-interaction-main-effects/</guid><description>Main effects tell you what each variable does in isolation. Interaction effects tell you whether the combination matters. Here&apos;s how to test for both using Python&apos;s statsmodels.</description><pubDate>Fri, 21 Jul 2023 00:00:00 GMT</pubDate><author>chrisrotunno@icloud.com (Christopher A. Rotunno)</author></item></channel></rss>