My Portfolio

Creating great U.S. county maps with advanced ggplot styling

This post shows how to make a beautiful U.S. map and create your own ggplot theme

Mapping depression and food insecurity in the U.S. with the CDC PLACES project

This post shows how to fetch data from the CDC and analyze and map it simply

Reviewing the ACS-1 2023 child poverty estimates

This post looks at how child poverty estimates have changed in the latest U.S. Census data

Analyzing CPI with Python and R

Accessing, analyzing, and visualizing data from the Federal Reserve

Part Three: Exploring even smaller geographies with tidycensus

This post shows how to fetch data at smaller scales for analysis of Census data

Part Two: Wrangling Census data for longitudinal analysis of child poverty

This post shows how to fetch many years of data simply, unlocking longitudinal analysis of Census data

Setting up an EPA air quality database using DuckDB

This post uses the RAQSAPI package to access the EPA API and query the results with DuckDB

Part One: Exploring child poverty data with the tidycensus R package

This post uses the tidycensus package to access the Census API and visualize data on child poverty in the U.S.

Exploring interactive mapping with mapboxgl

This post explores some mapboxgl features

BrainTree SQL challenge

This post works through the SQL challenges used by PayPal

Query comparison: SQL, R, and Python using Chicago Employees dataset

This post demonstrates how to run these languages in Quarto

Data Science Workflows in Javascript: Part Three

This post is from the third session led by Observable HQ

Data Science Workflows in Javascript: Part Two

cluster-analysis

This post is from the second session led by Observable HQ

Data Science Workflows in Javascript: Part One

This post is from the first session led by Observable HQ

Building beautiful tables with the gt:: package in R

This post outlines how to quickly scrape and clean data from Wikipedia and build a beautiful table in R

PART TWO: Mapping of African Health Clusters

international-development

cluster-analysis

Creating maps of cluster results using ggplot

PART ONE: Cluster Analysis of African Health Outcomes

international-development

cluster-analysis

Exploring how African countries cluster based on their health outcomes

Experimenting with distance as a concept for SDG achievement

international-development

cluster-analysis

Exploring how to conceptualize and visualize distance from Sustainable Development Goal targets

Animating the Gapminder dataset using gganimate

This post outlines how to easily add animation to ggplot graphics

Analysis of Gapminder data using nested models in R

international-development

This post outlines the value in building nested models using the purrr and broom packages