Not knowing the difference between carbon monoxide and carbon dioxide is the not knowing the difference between death and life. 🙍🏼♂️☠
Humans create both when they burn calories in their bodies. Carbon dioxide is the normal byproduct but any burning process has some incomplete combustion creating carbon monoxide including human cells.
Carbon monoxide is very poisonous to muscles including the heart so red blood cells have a strong affinity to it to purge muscles of it. But excessive carbon monoxide in red blood cells reduces the ability of them to also carry oxygen, which leads to suffocation.
I have to admit driving in New York is downright boring compared to West Virginia. The roads are so flat, so straight, and so wide.
But then again, New York’s mountains have wide valleys, and it’s rare that a road has to traverse a narrow canyon or do any kind of significant climbing. Few major highways climb over mountains in New York.
County Route 47 in Catskills near Winnisook Lake at 2,680 elevation is the highest elevation all season highway in New York. There aren’t a lot of high elevation roads in New York for sure. The highest Interstate in New York is Southern Tier Expressway in Almond at 2,110 elevation
This shows the percentage of automobiles registered by the ten most popular makes of automobile in New York State. Chevrolet is by far the most popular in the state, although foreigns are more popular downstate.
Make
CHEVR
FORD
TOYOT
HONDA
JEEP
NISSA
SUBAR
DODGE
GMC
HYUND
County
ALBANY
11.3
11.1
10.1
12.7
4.3
5.6
5.3
2.7
2.0
3.1
ALLEGANY
20.4
17.8
5.5
3.4
5.5
3.4
3.0
7.6
5.4
1.4
BRONX
5.0
7.1
17.0
17.9
4.3
8.4
2.3
2.4
1.2
3.9
BROOME
14.1
10.7
15.1
8.7
3.8
5.8
4.3
3.6
3.1
4.6
CATTARAUGUS
20.4
16.5
6.4
3.6
6.3
3.0
3.3
6.1
5.5
1.7
CAYUGA
21.6
13.1
7.6
6.9
5.4
4.9
4.6
4.3
3.7
1.9
CHAUTAUQUA
17.8
17.0
7.6
6.0
5.9
3.6
4.9
5.6
3.4
2.6
CHEMUNG
15.3
13.1
8.9
6.8
4.6
9.5
4.0
5.1
4.2
3.8
CHENANGO
18.2
16.7
7.6
5.3
5.3
4.0
6.2
5.3
4.5
2.6
CLINTON
13.7
14.9
9.1
8.3
4.6
4.2
5.1
3.8
4.6
4.7
COLUMBIA
12.1
12.3
14.0
7.9
4.4
3.7
8.0
3.3
3.7
2.2
CORTLAND
19.3
13.8
6.5
5.5
5.2
6.5
6.5
4.9
3.3
2.7
DELAWARE
15.9
13.0
8.5
6.8
5.4
4.4
7.0
5.2
4.6
2.6
DUTCHESS
9.4
9.4
10.2
13.9
4.8
5.4
7.7
2.8
2.3
4.0
ERIE
17.4
14.5
9.1
6.4
6.1
4.2
4.1
3.3
3.1
3.1
ESSEX
15.5
15.9
9.3
6.5
5.8
3.0
6.2
4.0
4.3
2.2
FRANKLIN
17.2
16.5
7.5
5.3
5.0
2.6
4.8
5.1
5.8
2.6
FULTON
18.1
14.3
8.5
6.4
5.9
6.5
3.0
5.1
2.8
2.1
GENESEE
24.5
13.5
8.9
4.2
5.3
2.7
2.6
4.9
4.4
1.7
GREENE
14.0
13.6
7.4
7.1
4.9
3.9
8.8
3.7
4.8
2.7
HAMILTON
15.6
13.7
10.9
6.4
5.4
3.2
5.3
3.7
4.5
1.9
HERKIMER
16.9
15.0
7.6
7.0
5.4
4.0
4.5
4.4
3.8
2.7
JEFFERSON
14.2
16.5
8.4
7.2
5.8
3.6
3.9
5.1
3.2
2.5
KINGS
4.1
6.5
16.3
14.2
3.6
9.1
3.0
1.8
1.1
3.6
LEWIS
16.4
20.9
5.8
8.6
5.1
2.2
2.9
4.8
4.9
1.5
LIVINGSTON
21.0
15.7
7.2
6.2
5.6
3.1
3.7
5.5
3.7
2.0
MADISON
17.9
13.6
9.3
5.3
5.7
3.1
5.3
4.6
3.9
2.2
MONROE
16.6
10.2
10.5
10.3
4.3
5.7
4.7
2.8
3.1
3.2
MONTGOMERY
17.4
14.4
6.9
8.9
5.9
5.6
3.2
4.8
3.1
2.5
NASSAU
6.2
7.6
11.4
12.3
6.3
7.7
3.3
2.1
1.8
4.2
NEW YORK
3.9
7.4
11.9
11.3
4.3
4.6
4.1
1.6
1.0
2.3
NIAGARA
23.7
13.7
7.0
5.2
5.8
3.4
2.2
4.0
4.3
2.4
ONEIDA
13.5
13.3
10.1
8.4
5.2
4.7
4.8
3.6
3.8
2.9
ONONDAGA
14.9
10.1
10.3
8.0
5.9
4.8
6.0
3.6
2.5
3.2
ONTARIO
16.2
14.1
9.7
7.7
4.7
4.0
5.5
3.4
3.7
3.2
ORANGE
8.5
10.8
12.1
12.3
5.3
6.2
5.2
3.2
2.0
4.7
ORLEANS
27.5
15.5
5.3
4.6
4.7
2.4
2.4
5.3
5.2
1.7
OSWEGO
21.4
13.9
5.8
4.3
6.5
4.3
3.6
5.2
3.2
2.0
OTSEGO
13.9
14.6
9.6
8.9
4.9
5.2
7.2
4.9
3.7
2.5
OUT-OF-STATE
15.7
17.8
8.7
2.0
3.8
10.2
2.3
3.1
2.1
4.0
PUTNAM
8.4
8.6
10.1
13.9
5.9
4.2
9.3
2.5
2.5
3.9
QUEENS
4.8
7.3
16.6
15.0
4.1
9.8
2.7
1.9
1.2
3.7
RENSSELAER
12.9
12.5
9.2
12.0
4.9
5.1
6.0
3.0
2.9
2.9
RICHMOND
5.5
8.1
11.5
12.0
5.7
9.5
2.6
2.2
1.8
5.8
ROCKLAND
5.0
8.8
16.3
15.9
4.5
6.3
5.5
1.7
1.3
4.2
SARATOGA
10.2
11.0
11.1
13.8
5.0
4.9
5.4
2.6
2.8
3.0
SCHENECTADY
10.5
10.4
9.7
14.8
4.6
6.2
4.8
2.9
2.7
3.5
SCHOHARIE
16.8
13.8
7.1
8.1
5.6
3.8
5.7
4.8
4.2
2.4
SCHUYLER
14.8
15.8
8.1
5.5
5.6
5.6
6.0
6.3
3.6
2.3
SENECA
18.4
17.9
7.4
5.4
4.9
5.2
3.3
5.2
3.1
2.8
ST LAWRENCE
20.5
15.4
8.1
4.8
5.6
2.2
3.9
5.9
4.6
1.5
STEUBEN
17.0
15.4
6.7
4.7
6.1
5.5
4.2
6.6
4.3
2.5
SUFFOLK
8.9
10.3
10.8
11.2
6.9
7.0
3.2
2.9
2.0
4.7
SULLIVAN
11.7
12.6
9.9
7.8
5.9
5.0
5.2
4.6
3.0
4.1
TIOGA
15.3
14.3
10.7
7.6
4.6
5.8
4.8
5.2
4.2
3.1
TOMPKINS
11.5
9.8
14.0
12.1
3.7
5.2
9.1
3.2
2.1
2.8
ULSTER
8.9
10.0
11.1
10.4
5.3
6.2
7.9
3.8
3.1
3.8
WARREN
12.5
12.4
9.8
10.9
5.4
4.0
6.2
3.2
3.2
4.7
WASHINGTON
15.3
14.9
8.3
8.8
5.3
4.0
5.3
4.6
3.6
3.7
WAYNE
21.2
15.1
6.6
6.2
5.0
4.1
3.8
4.5
4.1
2.3
WESTCHESTER
6.0
7.2
11.1
14.7
5.7
5.0
6.5
1.6
1.6
2.9
WYOMING
22.8
17.4
6.2
3.5
6.3
2.4
2.9
5.4
4.1
1.5
YATES
19.3
16.3
7.7
5.1
5.3
3.4
4.7
5.3
4.7
2.3
import pandas as pd
import seaborn as sns
url='/media/hd2/auto/autoreg.csv.zip'
df=pd.read_csv(url)
sf=df[((df['Record Type']=='VEH'))].groupby(['County','Make']).count()['VIN'].unstack().T
sf=(sf/sf.sum()*100).fillna(0).T
tb=sf[ sf.sum().sort_values(ascending=False).index[:10]]
tb
cm =sns.color_palette("Spectral_r", as_cmap=True)
html=tb.style.background_gradient(cmap=cm,axis=1).render()
with open('/tmp/auto.html', 'w') as f:
f.write(html)
Because a blast was out of the question, the 162 meters high cooling tower of the former M?lheim-K?rlich nuclear power plant was cleared from above with a remote-controlled excavator piece by piece. After falling below a height of approx. 80 meters, a demolition excavator finally brought the cooling tower down from the ground on August 9, 2019.
Due to a faulty building permit procedure, the nuclear power plant was only in operation for about two years.
