Download the Scalable Vector Graphic of the Percent of Bernie Sanders Vote, 2022 Assembly Districts.

About SVGZ Graphic: Percent of Bernie Sanders Vote, 2022 Assembly Districts ....

I have been experimenting with using R to calculate ADP and socialist votes for various political districts. After doing some reading up, it turns out the fastest and easier way to calculate such things is to use VTD centroids and spatially join them against the new districts.

With R, it turns out that can be done with like 10 lines of code to make some pretty nice maps and data, although I did the final map layout in QGIS. Overall, with the enacted Assembly districts, 1/3rd of them voted for Bernie Sanders, mostly upstate. This code took less then 10 seconds to run on my old laptop.

library(tidyverse)
library(tigris)
library(sf)

vt20 <- read_csv('2020vote_vtd.csv')
vt20$GEOID <- as.character(vt20$GEOID)

vtd <- voting_districts('ny', cb=T) %>%
inner_join(vt20, by=c('GEOID20'='GEOID')) %>%
st_transform('epsg:3857')

a22 <- read_sf('/home/andy/Documents/GIS.Data/2022 Districts/NY Assembly 2022.gpkg') %>% st_transform('epsg:3857')

join <- vtd %>% st_centroid() %>%
st_join(a22)

join %>% st_drop_geometry() %>%
group_by(DISTRICT) %>%
summarise(socialist = (sum(SANDERS)/sum(SANDERS,CLINTON))*100) %>%
inner_join(a22, by=c('DISTRICT')) %>%
write_sf('/tmp/socialassm.gpkg')

2022 AD	Sanders Vote
1	42.8
2	47.1
3	50.4
4	47.5
5	53.1
6	37.6
7	50.2
8	46.2
9	48.6
10	37.5
11	39.2
12	44.7
13	37.6
14	42.1
15	38.4
16	32.0
17	45.7
18	28.6
19	44.9
20	39.0
21	38.3
22	35.4
23	41.9
24	35.2
25	41.8
26	40.6
27	41.0
28	43.5
29	25.9
30	47.1
31	27.6
32	25.7
33	28.7
34	47.1
35	32.3
36	49.5
37	50.1
38	45.3
39	41.3
40	38.6
41	37.3
42	35.6
43	35.6
44	45.9
45	47.6
46	48.0
47	51.9
48	40.7
49	51.9
50	57.1
51	48.5
52	37.7
53	50.3
54	37.3
55	30.4
56	42.4
57	44.5
58	22.3
59	32.9
60	27.0
61	39.2
62	53.6
63	46.0
64	52.4
65	40.9
66	35.7
67	27.1
68	35.9
69	33.6
70	38.4
71	39.4
72	35.7
73	23.4
74	37.6
75	31.9
76	28.8
77	26.7
78	32.3
79	28.6
80	35.4
81	37.0
82	34.0
83	23.0
84	30.5
85	27.8
86	26.8
87	31.3
88	28.9
89	30.0
90	36.5
91	31.0
92	33.2
93	32.2
94	45.7
95	40.6
96	40.7
97	36.0
98	47.1
99	49.6
100	49.3
101	56.0
102	60.2
103	62.3
104	47.9
105	50.3
106	52.8
107	55.5
108	55.9
109	52.6
110	49.1
111	55.2
112	54.0
113	57.9
114	64.0
115	71.4
116	54.2
117	58.4
118	58.1
119	51.9
120	55.7
121	58.2
122	56.9
123	57.3
124	53.8
125	61.8
126	48.9
127	46.6
128	42.5
129	50.8
130	52.9
131	52.5
132	57.2
133	57.4
134	50.1
135	46.0
136	47.9
137	40.2
138	53.8
139	55.2
140	53.6
141	33.6
142	54.7
143	50.4
144	55.1
145	51.3
146	46.5
147	58.3
148	58.2
149	54.2
150	53.5