spencerpease

Researcher at IHME; University of Washington graduate, Health Metric Sciences, Informatics, and Physics

@ihmeuw-demographicsSeattle

Pinned Repositories

AirMonitorPlots
Plotting functions for the PWFSLSmoke package
Language:R2 9 561
PWFSLSmoke
Utilities for working with air quality monitoring data (e.g. federal regulatory monitors)
Language:HTML18 13 975
astr427
Methods of Computational Astrophysics
Language:Jupyter Notebook0 3 00
.dotfiles
Collection of configuration files for *nix systems
0 2 00
498f-final
2016 presidential campaign finance expenditure data analysis
Language:R0 3 90
a7-collaborative-coding
Assignment 7: Collaborative Coding Skills
Language:HTML0 3 60
a8-building-applications
Assignment 8: Building Applications
Language:R0 2 00
classification
Classification
Language:Jupyter Notebook0 2 00
info370-a2-data-wrangling
Compute and compare segregation metrics across cities (mirrored from info370 repo)
Language:HTML0 2 00
wikiChime
Project work for DXARTS 470: Sensing And Control Systems Summer '17
Language:Python0 2 60

spencerpease's Repositories

spencerpease/.dotfiles
Collection of configuration files for *nix systems
0 2 00
spencerpease/498f-final
2016 presidential campaign finance expenditure data analysis
Language:R0 3 90
spencerpease/a7-collaborative-coding
Assignment 7: Collaborative Coding Skills
Language:HTML0 3 60
spencerpease/a8-building-applications
Assignment 8: Building Applications
Language:R0 2 00
spencerpease/classification
Classification
Language:Jupyter Notebook0 2 00
spencerpease/info370-a2-data-wrangling
Compute and compare segregation metrics across cities (mirrored from info370 repo)
Language:HTML0 2 00
spencerpease/wikiChime
Project work for DXARTS 470: Sensing And Control Systems Summer '17
Language:Python0 2 60
spencerpease/cloud-computing
Language:Python2 0
spencerpease/data-support
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spencerpease/demos
Demonstrations of techniques
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spencerpease/eda
Exploratory Data Analysis
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spencerpease/info343-in-class-1
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spencerpease/intro_to_r
Guest lecture for Mike Freeman's Intro to R class at the University of Washington Information School, March 4th 2016
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spencerpease/labs
Lab activities
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spencerpease/lecture-10-exercises
Exercises for lecture 10: RMarkdown
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spencerpease/lecture-11-exercises
Exercises for lecture 11: making maps with Plotly
Language:R2 0
spencerpease/lecture-12-exercises
Lecture 12 exercises: Plotly practice
Language:R
spencerpease/lecture-14-exercises
Exercises for lecture 14: Introduction to shiny
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spencerpease/lecture-15-exercises
Interactive Shiny Applications
Language:R2 0
spencerpease/lecture-16-exercises
Simulations in R
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spencerpease/lecture-17-exercises
Machine learning
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spencerpease/lecture-7-exercises
Exercises for lecture 7: data wrangling
Language:R2 0
spencerpease/lecture-8-exercises
Exercises for lecture 8: grouped operations and joins with dplyr
Language:R
spencerpease/lecture-9-exercises
Exercises for lecture 9: APIs
Language:R
spencerpease/python-intro
Introduction to Python
Language:Jupyter Notebook2 0
spencerpease/r-intro
Introduction to R
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spencerpease/regression
Regression
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spencerpease/spencerpease.github.io
Personal site
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spencerpease/SpencRUtils
A package for my custom R utilities
spencerpease/turbo-disco
Packaging demo
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