This project uses ACS census data with Washington State geospatial data to examine the distribution of disabled people in each county and long-term care facilities

This project uses the Tidytuesday dataset on Super Bowl commercials to visualize the performance of Super Bowl commercials over the years

This assignment uses tmap to examine the density of Airbnb's and Hotels in London

This assignment uses a geopackage to create a map showing the temperature of Japan for each month of the year

This project uses logs from the Moodle Learning Management System to examine how students interacted with Moodle

This assignment uses ACS census data to create a choropleth and cartograms

This assignment uses the qtm function with tmap to make a better version of the example choropleth

This assignment shows a walkthrough of chapter 2 of the GIS tutorial

This assignment uses the ACS5 Census questionnaire data to visualize the number of apartment buildings in each county

This assignment visualizes the performance of a linear model created from the Diamonds dataset

This assignment takes a look at the number of stations in recent transit projects using the Tidy Tuesday data set, Transit Costs Project 2021-01-05.

A exercise with ACS Census data obtained using the tidycensus package to produce a map visualization of ACS data

This assignment is to practice good techniques for showing the distribution of a categorical variable.

This assignment visualizes weather trends for temperature and precipitation

Testing the provider tiles available in the Leaflet package

This model uses the football stats from the previous season to project the fantasy points per game for a player's next season

This is the first version of the code used to clean and visualize Moodle logs

Examining student test score data and creating a linear regression model to predict the total score of a student

Using KNN model to predict gender using a CDC dataset

Looking at the best conditions for Russell Wilson to pass in during the 2018 season.

A logistic regression model that predicts gender based on the "CDC" dataset.

A linear regression model of the housing prices in Ames County, Iowa.

A short analysis of birthrate using the Natality dataset from https://wonder.cdc.gov/natality.html.

class on 1-25