Overview

Dataset statistics

Number of variables9
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory74.2 B

Variable types

Categorical4
Numeric1
Text4

Alerts

지정년도 is highly overall correlated with 지원년도High correlation
지원년도 is highly overall correlated with 지정년도High correlation

Reproduction

Analysis started2023-12-10 23:06:53.017266
Analysis finished2023-12-10 23:06:54.219961
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct24
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
안산시
21 
시흥시
12 
화성시
12 
성남시
11 
용인시
8 
Other values (19)
47 

Length

Max length4
Median length3
Mean length3.027027
Min length3

Unique

Unique7 ?
Unique (%)6.3%

Sample

1st row고양시
2nd row광명시
3rd row광주시
4th row광주시
5th row구리시

Common Values

ValueCountFrequency (%)
안산시 21
18.9%
시흥시 12
10.8%
화성시 12
10.8%
성남시 11
9.9%
용인시 8
 
7.2%
부천시 6
 
5.4%
김포시 5
 
4.5%
평택시 4
 
3.6%
안양시 4
 
3.6%
수원시 4
 
3.6%
Other values (14) 24
21.6%

Length

2023-12-11T08:06:54.288516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 21
18.9%
화성시 12
10.8%
시흥시 12
10.8%
성남시 11
9.9%
용인시 8
 
7.2%
부천시 6
 
5.4%
김포시 5
 
4.5%
평택시 4
 
3.6%
안양시 4
 
3.6%
수원시 4
 
3.6%
Other values (14) 24
21.6%

지정년도
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.4414
Minimum2014
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:06:54.416913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12016
median2019
Q32021
95-th percentile2022
Maximum2022
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.5855707
Coefficient of variation (CV)0.0012809739
Kurtosis-1.1330531
Mean2018.4414
Median Absolute Deviation (MAD)2
Skewness-0.27873103
Sum224047
Variance6.6851761
MonotonicityNot monotonic
2023-12-11T08:06:54.545599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2021 15
13.5%
2020 15
13.5%
2022 15
13.5%
2019 15
13.5%
2018 11
9.9%
2014 11
9.9%
2017 10
9.0%
2016 10
9.0%
2015 9
8.1%
ValueCountFrequency (%)
2014 11
9.9%
2015 9
8.1%
2016 10
9.0%
2017 10
9.0%
2018 11
9.9%
2019 15
13.5%
2020 15
13.5%
2021 15
13.5%
2022 15
13.5%
ValueCountFrequency (%)
2022 15
13.5%
2021 15
13.5%
2020 15
13.5%
2019 15
13.5%
2018 11
9.9%
2017 10
9.0%
2016 10
9.0%
2015 9
8.1%
2014 11
9.9%

지원년도
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2021~2023
15 
2020~2022
15 
2022~2024
15 
2019~2021
15 
2018~2020
11 
Other values (4)
40 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021~2023
2nd row2021~2023
3rd row2021~2023
4th row2018~2020
5th row2020~2022

Common Values

ValueCountFrequency (%)
2021~2023 15
13.5%
2020~2022 15
13.5%
2022~2024 15
13.5%
2019~2021 15
13.5%
2018~2020 11
9.9%
2014~2016 11
9.9%
2017~2019 10
9.0%
2016~2018 10
9.0%
2015~2017 9
8.1%

Length

2023-12-11T08:06:54.674278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:06:54.785810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021~2023 15
13.5%
2020~2022 15
13.5%
2022~2024 15
13.5%
2019~2021 15
13.5%
2018~2020 11
9.9%
2014~2016 11
9.9%
2017~2019 10
9.0%
2016~2018 10
9.0%
2015~2017 9
8.1%

지정구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
최초지정
90 
재지정
21 

Length

Max length4
Median length4
Mean length3.8108108
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row최초지정
2nd row최초지정
3rd row재지정
4th row최초지정
5th row최초지정

Common Values

ValueCountFrequency (%)
최초지정 90
81.1%
재지정 21
 
18.9%

Length

2023-12-11T08:06:54.921198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:06:55.006421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
최초지정 90
81.1%
재지정 21
 
18.9%

사업자등록번호
Text

Distinct91
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T08:06:55.235209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.90991
Min length10

Characters and Unicode

Total characters1322
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)67.6%

Sample

1st row245-81-00242
2nd row140-81-73815
3rd row215-81-77279
4th row215-81-77279
5th row119-86-65280
ValueCountFrequency (%)
137-81-35756 3
 
2.7%
124-81-46728 3
 
2.7%
220-81-88671 3
 
2.7%
141-81-09617 3
 
2.7%
134-86-07450 2
 
1.8%
123-81-41074 2
 
1.8%
217-81-16899 2
 
1.8%
124-81-93615 2
 
1.8%
129-86-35667 2
 
1.8%
135-81-64240 2
 
1.8%
Other values (81) 87
78.4%
2023-12-11T08:06:55.602296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 254
19.2%
- 212
16.0%
8 164
12.4%
3 106
8.0%
2 99
 
7.5%
4 94
 
7.1%
6 92
 
7.0%
7 90
 
6.8%
0 84
 
6.4%
9 64
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1110
84.0%
Dash Punctuation 212
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 254
22.9%
8 164
14.8%
3 106
9.5%
2 99
 
8.9%
4 94
 
8.5%
6 92
 
8.3%
7 90
 
8.1%
0 84
 
7.6%
9 64
 
5.8%
5 63
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1322
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 254
19.2%
- 212
16.0%
8 164
12.4%
3 106
8.0%
2 99
 
7.5%
4 94
 
7.1%
6 92
 
7.0%
7 90
 
6.8%
0 84
 
6.4%
9 64
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 254
19.2%
- 212
16.0%
8 164
12.4%
3 106
8.0%
2 99
 
7.5%
4 94
 
7.1%
6 92
 
7.0%
7 90
 
6.8%
0 84
 
6.4%
9 64
 
4.8%

기업명
Text

Distinct89
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T08:06:55.809988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.4594595
Min length3

Characters and Unicode

Total characters939
Distinct characters156
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)63.1%

Sample

1st row(주)에스아이디허브
2nd row(주)코넵
3rd row동우옵트론(주)
4th row동우옵트론(주)
5th row(주)로스웰워터
ValueCountFrequency (%)
아름다운환경건설(주 3
 
2.6%
주)우양이엔지 3
 
2.6%
주)동일캔바스엔지니어링 3
 
2.6%
주식회사 3
 
2.6%
주)범석엔지니어링 2
 
1.8%
엠에이티플러스(주 2
 
1.8%
인바이오텍(주 2
 
1.8%
에어코리아(주 2
 
1.8%
보국엔지니어링(주 2
 
1.8%
주)청우씨엔티 2
 
1.8%
Other values (80) 90
78.9%
2023-12-11T08:06:56.195006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 106
 
11.3%
) 103
 
11.0%
( 103
 
11.0%
이 57
 
6.1%
엔 29
 
3.1%
에 23
 
2.4%
지 19
 
2.0%
스 18
 
1.9%
아 18
 
1.9%
어 15
 
1.6%
Other values (146) 448
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
76.6%
Close Punctuation 103
 
11.0%
Open Punctuation 103
 
11.0%
Uppercase Letter 6
 
0.6%
Space Separator 3
 
0.3%
Decimal Number 3
 
0.3%
Other Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 106
 
14.7%
이 57
 
7.9%
엔 29
 
4.0%
에 23
 
3.2%
지 19
 
2.6%
스 18
 
2.5%
아 18
 
2.5%
어 15
 
2.1%
텍 14
 
1.9%
크 13
 
1.8%
Other values (135) 407
56.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
V 2
33.3%
N 2
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
7 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 720
76.7%
Common 213
 
22.7%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 106
 
14.7%
이 57
 
7.9%
엔 29
 
4.0%
에 23
 
3.2%
지 19
 
2.6%
스 18
 
2.5%
아 18
 
2.5%
어 15
 
2.1%
텍 14
 
1.9%
크 13
 
1.8%
Other values (136) 408
56.7%
Common
ValueCountFrequency (%)
) 103
48.4%
( 103
48.4%
3
 
1.4%
. 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%
7 1
 
0.5%
Latin
ValueCountFrequency (%)
E 2
33.3%
V 2
33.3%
N 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 719
76.6%
ASCII 219
 
23.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 106
 
14.7%
이 57
 
7.9%
엔 29
 
4.0%
에 23
 
3.2%
지 19
 
2.6%
스 18
 
2.5%
아 18
 
2.5%
어 15
 
2.1%
텍 14
 
1.9%
크 13
 
1.8%
Other values (135) 407
56.6%
ASCII
ValueCountFrequency (%)
) 103
47.0%
( 103
47.0%
3
 
1.4%
E 2
 
0.9%
V 2
 
0.9%
N 2
 
0.9%
. 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%
7 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

환경분야
Categorical

Distinct9
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
대기
43 
수질
33 
자원순환
11 
환경서비스
9 
환경복원
5 
Other values (4)
10 

Length

Max length5
Median length2
Mean length2.6306306
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row대기
2nd row대기
3rd row대기
4th row대기
5th row수질

Common Values

ValueCountFrequency (%)
대기 43
38.7%
수질 33
29.7%
자원순환 11
 
9.9%
환경서비스 9
 
8.1%
환경복원 5
 
4.5%
에너지 4
 
3.6%
폐기물 3
 
2.7%
신소재 2
 
1.8%
환경보건 1
 
0.9%

Length

2023-12-11T08:06:56.327618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:06:56.447214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기 43
38.7%
수질 33
29.7%
자원순환 11
 
9.9%
환경서비스 9
 
8.1%
환경복원 5
 
4.5%
에너지 4
 
3.6%
폐기물 3
 
2.7%
신소재 2
 
1.8%
환경보건 1
 
0.9%

제품
Text

Distinct104
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T08:06:56.712614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length33
Mean length21.288288
Min length3

Characters and Unicode

Total characters2363
Distinct characters283
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)87.4%

Sample

1st row환기시스템 웨이븐
2nd row대기환경오염방지설비
3rd row환경계측기(연돌배기가스분석기)
4th row연돌배기가스분석기, 광학기기
5th row지하 하수처리장 처리공법 및 설계, 운영 등
ValueCountFrequency (%)
및 32
 
6.5%
제작 26
 
5.3%
시공 11
 
2.2%
집진기 7
 
1.4%
기술 7
 
1.4%
시스템 6
 
1.2%
방지시설 5
 
1.0%
설치 5
 
1.0%
친환경 5
 
1.0%
등 5
 
1.0%
Other values (315) 382
77.8%
2023-12-11T08:06:57.134542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
380
 
16.1%
기 129
 
5.5%
, 113
 
4.8%
수 60
 
2.5%
설 54
 
2.3%
시 51
 
2.2%
지 48
 
2.0%
제 45
 
1.9%
리 40
 
1.7%
및 32
 
1.4%
Other values (273) 1411
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1729
73.2%
Space Separator 380
 
16.1%
Other Punctuation 129
 
5.5%
Lowercase Letter 51
 
2.2%
Uppercase Letter 39
 
1.7%
Open Punctuation 13
 
0.6%
Close Punctuation 13
 
0.6%
Decimal Number 6
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 129
 
7.5%
수 60
 
3.5%
설 54
 
3.1%
시 51
 
2.9%
지 48
 
2.8%
제 45
 
2.6%
리 40
 
2.3%
및 32
 
1.9%
처 31
 
1.8%
정 31
 
1.8%
Other values (230) 1208
69.9%
Uppercase Letter
ValueCountFrequency (%)
C 5
12.8%
O 5
12.8%
R 4
10.3%
B 3
 
7.7%
T 3
 
7.7%
M 3
 
7.7%
S 2
 
5.1%
F 2
 
5.1%
I 2
 
5.1%
P 2
 
5.1%
Other values (6) 8
20.5%
Lowercase Letter
ValueCountFrequency (%)
s 11
21.6%
l 7
13.7%
o 6
11.8%
r 4
 
7.8%
i 4
 
7.8%
p 4
 
7.8%
e 3
 
5.9%
a 3
 
5.9%
m 2
 
3.9%
t 2
 
3.9%
Other values (5) 5
9.8%
Other Punctuation
ValueCountFrequency (%)
, 113
87.6%
? 10
 
7.8%
/ 5
 
3.9%
. 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
8 1
 
16.7%
5 1
 
16.7%
6 1
 
16.7%
Space Separator
ValueCountFrequency (%)
380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1729
73.2%
Common 544
 
23.0%
Latin 90
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 129
 
7.5%
수 60
 
3.5%
설 54
 
3.1%
시 51
 
2.9%
지 48
 
2.8%
제 45
 
2.6%
리 40
 
2.3%
및 32
 
1.9%
처 31
 
1.8%
정 31
 
1.8%
Other values (230) 1208
69.9%
Latin
ValueCountFrequency (%)
s 11
 
12.2%
l 7
 
7.8%
o 6
 
6.7%
C 5
 
5.6%
O 5
 
5.6%
r 4
 
4.4%
R 4
 
4.4%
i 4
 
4.4%
p 4
 
4.4%
e 3
 
3.3%
Other values (21) 37
41.1%
Common
ValueCountFrequency (%)
380
69.9%
, 113
 
20.8%
( 13
 
2.4%
) 13
 
2.4%
? 10
 
1.8%
/ 5
 
0.9%
- 3
 
0.6%
2 3
 
0.6%
. 1
 
0.2%
8 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1729
73.2%
ASCII 634
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
380
59.9%
, 113
 
17.8%
( 13
 
2.1%
) 13
 
2.1%
s 11
 
1.7%
? 10
 
1.6%
l 7
 
1.1%
o 6
 
0.9%
/ 5
 
0.8%
C 5
 
0.8%
Other values (33) 71
 
11.2%
Hangul
ValueCountFrequency (%)
기 129
 
7.5%
수 60
 
3.5%
설 54
 
3.1%
시 51
 
2.9%
지 48
 
2.8%
제 45
 
2.6%
리 40
 
2.3%
및 32
 
1.9%
처 31
 
1.8%
정 31
 
1.8%
Other values (230) 1208
69.9%

대표자명
Text

Distinct86
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T08:06:57.411276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.036036
Min length2

Characters and Unicode

Total characters337
Distinct characters105
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)58.6%

Sample

1st row권오종
2nd row윤방남
3rd row김영준
4th row김영준
5th row이건호
ValueCountFrequency (%)
강신기 3
 
2.7%
이종열 3
 
2.7%
이병관 3
 
2.7%
우현직 3
 
2.7%
서현석 2
 
1.8%
윤영중 2
 
1.8%
오재순 2
 
1.8%
김동수 2
 
1.8%
박상호 2
 
1.8%
김헌수 2
 
1.8%
Other values (77) 88
78.6%
2023-12-11T08:06:57.783699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 19
 
5.6%
김 15
 
4.5%
호 10
 
3.0%
현 10
 
3.0%
재 9
 
2.7%
경 8
 
2.4%
영 8
 
2.4%
수 7
 
2.1%
남 7
 
2.1%
박 7
 
2.1%
Other values (95) 237
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
99.4%
Other Punctuation 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 19
 
5.7%
김 15
 
4.5%
호 10
 
3.0%
현 10
 
3.0%
재 9
 
2.7%
경 8
 
2.4%
영 8
 
2.4%
수 7
 
2.1%
남 7
 
2.1%
박 7
 
2.1%
Other values (93) 235
70.1%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
99.4%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 19
 
5.7%
김 15
 
4.5%
호 10
 
3.0%
현 10
 
3.0%
재 9
 
2.7%
경 8
 
2.4%
영 8
 
2.4%
수 7
 
2.1%
남 7
 
2.1%
박 7
 
2.1%
Other values (93) 235
70.1%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 19
 
5.7%
김 15
 
4.5%
호 10
 
3.0%
현 10
 
3.0%
재 9
 
2.7%
경 8
 
2.4%
영 8
 
2.4%
수 7
 
2.1%
남 7
 
2.1%
박 7
 
2.1%
Other values (93) 235
70.1%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Interactions

2023-12-11T08:06:53.900353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:06:57.879673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명지정년도지원년도지정구분사업자등록번호기업명환경분야대표자명
시군명1.0000.0000.0000.0001.0001.0000.1961.000
지정년도0.0001.0001.0000.3140.0000.0000.3520.000
지원년도0.0001.0001.0000.2790.0000.0000.4380.000
지정구분0.0000.3140.2791.0000.0000.0000.0000.000
사업자등록번호1.0000.0000.0000.0001.0001.0000.9961.000
기업명1.0000.0000.0000.0001.0001.0000.9961.000
환경분야0.1960.3520.4380.0000.9960.9961.0000.996
대표자명1.0000.0000.0000.0001.0001.0000.9961.000
2023-12-11T08:06:57.999811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정구분환경분야지원년도시군명
지정구분1.0000.0000.2690.000
환경분야0.0001.0000.1510.053
지원년도0.2690.1511.0000.000
시군명0.0000.0530.0001.000
2023-12-11T08:06:58.091956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정년도시군명지원년도지정구분환경분야
지정년도1.0000.0001.0000.2690.151
시군명0.0001.0000.0000.0000.053
지원년도1.0000.0001.0000.2690.151
지정구분0.2690.0000.2691.0000.000
환경분야0.1510.0530.1510.0001.000

Missing values

2023-12-11T08:06:54.021409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:06:54.159591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군명지정년도지원년도지정구분사업자등록번호기업명환경분야제품대표자명
0고양시20212021~2023최초지정245-81-00242(주)에스아이디허브대기환기시스템 웨이븐권오종
1광명시20212021~2023최초지정140-81-73815(주)코넵대기대기환경오염방지설비윤방남
2광주시20212021~2023재지정215-81-77279동우옵트론(주)대기환경계측기(연돌배기가스분석기)김영준
3광주시20182018~2020최초지정215-81-77279동우옵트론(주)대기연돌배기가스분석기, 광학기기김영준
4구리시20202020~2022최초지정119-86-65280(주)로스웰워터수질지하 하수처리장 처리공법 및 설계, 운영 등이건호
5군포시20212021~2023최초지정138-81-74747수생태복원(주)수질하천 및 호수 녹조, 악취제거 및 수질개선을 위한 친환경 수처리기술 및 장치김흥섭
6김포시20222022~2024재지정1378169616크린에어테크(주)대기집진기,환경플랜트서현석
7김포시20192019~2021재지정139-81-19335(주)상원기계대기대기오염방지 시설, 축열연소장치 제작권순목
8김포시20172017~2019최초지정137-81-69616크린에어테크(주)대기여과집진기, 전기집진기, 흡착탑, 스크라바, 오일미스트집진기서현석
9김포시20162016~2018최초지정139-81-19335(주)상원기계대기대기오염방지 시설, 축열연소장치 제작권순목
시군명지정년도지원년도지정구분사업자등록번호기업명환경분야제품대표자명
101화성시20222022~2024최초지정105-81-94928씨제이케이얼라이언스(주)에너지수소 연료전지 필터, 2차전지 음극재용 초순수 정수 시스템, 수처리 핵심 부품, 탄산냉온정수기김상욱
102화성시20212021~2023재지정137-81-35756(주)우양이엔지대기대기오염방지지설, 집진기, 탈취기, 송풍기 등강신기
103화성시20212021~2023최초지정123-35-93217테크노바이오대기연료첨가제이영서
104화성시20212021~2023최초지정559-88-01998(주)케이제이앤씨신소재퀵클립이경준
105화성시20202020~2022최초지정105-87-08273(주)쓰리에이씨대기가전제품용 탈취필터, 집진필터채성호
106화성시20202020~2022최초지정134-86-45702빛나매크로(주)수질농축산폐수처리기, 폐사축처리기정정호
107화성시20192019~2021최초지정135-81-29393주흥환경(주)환경서비스정화조관리용역이길재
108화성시20162016~2018최초지정133-81-26105대양환경(주)(대양이엔아이)에너지ROT(축열산화설비), 폐열 회수 기술박근식
109화성시20162016~2018최초지정124-81-46960(주)웰크론강원에너지증기발생기, 산업용?폐열회수 보일러 제작이영규, 손기태
110화성시20142014~2016최초지정113-81-65119(주)포스벨자원순환생활쓰레기 자원화 및 에너지화 분야 선별시스템 기계제작, 설치나경덕