Will May wmay

## Texas COVID-19 Deaths Comparison.ipynb

      
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                wmay
                / Texas COVID-19 Deaths Comparison.ipynb
            
            
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              July 8, 2020 18:00
            
              
                Texas COVID-19 death counts, NYTimes vs. TX DSHS
              
          
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## latex_engine.Rmd
---
title: "Latex engine test"
author: "William May"
date: "December 1, 2019"
output: pdf_document
---

```{r setup, include=FALSE}
library(knitr)
opts_chunk$set(echo = TRUE)

## ssp_scraper.R
library(rvest)
ssp_url = 'http://www.ssp.sp.gov.br/estatistica/pesquisa.aspx'

## get the region/municipality form
sess = html_session(ssp_url)
form = html_form(sess)[[2]]
## see form options
head(form$fields$`ctl00$conteudo$ddlRegioes`$options)
head(form$fields$`ctl00$conteudo$ddlMunicipios`$options)
## submit the form to get a new page

## TravisCI-Mascot-1.png

      
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                wmay
                / TravisCI-Mascot-1.png
            
            
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              November 18, 2019 07:19
            
              
                Modern Data Workflow presentation
              
          
## trump_hate_crimes.R
## are Trump (or Clinton) rallies associated with hate crimes?

library(MASS)

## organize data (downloaded from the analysis page, under the "Hate
## Incidents" tab)
## https://public.tableau.com/profile/matthew.lilley#!/vizhome/TrumpRallies_15676277431850/Population-TrumpRally
hate = read.csv('Hate_Incidents_data.csv', check.names = F,
                stringsAsFactors = F)
hate$Geoid = as.factor(hate$Geoid)

## sex.R
## looking at sex trends

library(foreign)

## oh wow this is a large file
gss = read.spss('/home/will/research/gss/GSS7218_R1.sav', to.data.frame = T)

## do a bit of organizing
names(gss) = tolower(names(gss))
gss$wtssall = as.numeric(as.character(gss$wtssall))

## shapely vectorized GEOS.ipynb

      
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                wmay
                / shapely vectorized GEOS.ipynb
            
            
              Created
              July 9, 2017 20:33
            
              
                Testing vectorized GEOS functions
              
          
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	---
	title: "Latex engine test"
	author: "William May"
	date: "December 1, 2019"
	output: pdf_document
	---

	```{r setup, include=FALSE}
	library(knitr)
	opts_chunk$set(echo = TRUE)
	library(rvest)
	ssp_url = 'http://www.ssp.sp.gov.br/estatistica/pesquisa.aspx'

	## get the region/municipality form
	sess = html_session(ssp_url)
	form = html_form(sess)[[2]]
	## see form options
	head(form$fields$`ctl00$conteudo$ddlRegioes`$options)
	head(form$fields$`ctl00$conteudo$ddlMunicipios`$options)
	## submit the form to get a new page
	## are Trump (or Clinton) rallies associated with hate crimes?

	library(MASS)

	## organize data (downloaded from the analysis page, under the "Hate
	## Incidents" tab)
	## https://public.tableau.com/profile/matthew.lilley#!/vizhome/TrumpRallies_15676277431850/Population-TrumpRally
	hate = read.csv('Hate_Incidents_data.csv', check.names = F,
	stringsAsFactors = F)
	hate$Geoid = as.factor(hate$Geoid)
	## looking at sex trends

	library(foreign)

	## oh wow this is a large file
	gss = read.spss('/home/will/research/gss/GSS7218_R1.sav', to.data.frame = T)

	## do a bit of organizing
	names(gss) = tolower(names(gss))
	gss$wtssall = as.numeric(as.character(gss$wtssall))