Compiled from publicly available news sources including NY Times, CNN, NPR, and Wikipedia.
Pct_point_diff is calculated as (Dem vote percentage - GOP vote percentage).
Alec Barrett anbnyc
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| license: mit | |
| height: 500 | |
| border: no |
anbnyc
/ districts.dsv
Created
May 31, 2018 18:20
House districts presidential election results 2016 and incumbent status in 2018
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| CD;Incumbent;Party;Pres;Open;Not running | |
| AK-AL;Young, Don;(R);Trump;FALSE; | |
| AL-01;Byrne, Bradley;(R);Trump;FALSE; | |
| AL-02;Roby, Martha;(R);Trump;FALSE; | |
| AL-03;Rogers, Mike;(R);Trump;FALSE; | |
| AL-04;Aderholt, Rob;(R);Trump;FALSE; | |
| AL-05;Brooks, Mo;(R);Trump;FALSE; | |
| AL-06;Palmer, Gary;(R);Trump;FALSE; | |
| AL-07;Sewell, Terri;(D);Clinton;FALSE; | |
| AR-01;Crawford, Rick;(R);Trump;FALSE; |
anbnyc
/ counties.dsv
Last active
May 31, 2018 21:48
County presidential election results change in Dem advantage from 2008 and 2012 to 2016
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| per_point_diff_2016|per_point_diff_2012|per_point_diff_2008|state_abbr|county_name|per_point_diff_12_16|per_point_diff_08_16 | |
| -0.4947893435|-0.460579698|-0.4784061588|AL|Autauga County|-0.03420964548|-0.01638318471 | |
| -0.5778616219|-0.5582317504|-0.5144755752|AL|Baldwin County|-0.01962987149|-0.0633860467 | |
| -0.05611164581|0.02914739506|-0.01453138435|AL|Barbour County|-0.08525904087|-0.04158026146 | |
| -0.5554412437|-0.4684781313|-0.4584683017|AL|Bibb County|-0.08696311238|-0.096972942 | |
| -0.813819729|-0.7414512093|-0.6950591338|AL|Blount County|-0.07236851962|-0.1187605952 | |
| 0.5086151883|0.5280180519|0.4838411819|AL|Bullock County|-0.01940286364|0.02477400636 | |
| -0.1352907311|-0.07529262891|-0.1335873931|AL|Butler County|-0.05999810223|-0.001703338005 | |
| -0.4138382303|-0.3194636678|-0.3252101864|AL|Calhoun County|-0.09437456251|-0.0886280439 | |
| -0.148062128|-0.0510232111|-0.08478202728|AL|Chambers County|-0.09703891693|-0.06328010075 |
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| const star = radius => | |
| [0, .4, .8, .2, .6, 0].map(d => | |
| Math.round(1000* radius*Math.cos(2*Math.PI*d - .5*Math.PI) )/1000 | |
| +","+ | |
| Math.round(1000* radius*Math.sin(2*Math.PI*d - .5*Math.PI) )/1000 | |
| ).join(' ') | |
| star(7.5) |
anbnyc
/ tree_dot_clean.json
Created
February 13, 2018 23:17
This file has been truncated, but you can view the full file.
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| [ | |
| { | |
| "tree_id": 190422, | |
| "spc_common": "honeylocust", | |
| "Latitude": 40.77004563, | |
| "longitude": -73.98494997 | |
| }, | |
| { | |
| "tree_id": 190426, | |
| "spc_common": "honeylocust", |
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| <html> | |
| <head> | |
| <style> | |
| .menu { | |
| display: block; } | |
| .menu select { | |
| margin: 10px; } | |
| .menu .legend { | |
| margin: 10px; | |
| position: relative; |
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| library(dplyr) | |
| library(tidyr) | |
| library(jsonlite) | |
| #https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/pi5s-9p35 | |
| raw <- read.csv("~/Downloads/2015StreetTreesCensus_TREES.csv", stringsAsFactors = F) | |
| trees <- tbl_df(raw) %>% | |
| group_by(boroname, nta_name, spc_common, health) %>% | |
| summarise(n = n()) | |
| write(toJSON(trees), "~/Desktop/trees.json") |
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| voters <- read.csv("~/Downloads/voter_file.csv", stringsAsFactors = F) | |
| voters_sub <- voters[c("SBOEID","DOB","REGDATE","ENROLLMENT","LASTVOTEDATE","COUNTYCODE","ED","WARD","SD","AD","LD")] | |
| existing_eds <- tbl_df(voters_sub) %>% | |
| group_by(ED, ENROLLMENT) %>% | |
| summarise(count = n()) %>% | |
| spread(ENROLLMENT, count) %>% | |
| mutate(TOTAL = sum(BLK,CON,DEM,GRE,IND,OTH,REF,REP,WEP,WOR,na.rm=T), | |
| DEM_PCT = DEM/TOTAL) | |
| new_dems_eds <- tbl_df(voters_sub) %>% | |
| filter(REGDATE >= 20161109) %>% |