Overview

Dataset statistics

Number of variables11
Number of observations569
Missing cells12
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.1 KiB
Average record size in memory90.2 B

Variable types

Numeric1
Categorical7
Text3

Dataset

Description환경측정분석 정보관리시스템에 등록된 측정대행업체 목록으로, 측정대행업체의 관할지, 주소지, 연락처, 측정분야를 제공합니다.
Author한국환경공단
URLhttps://www.data.go.kr/data/15105901/fileData.do

Alerts

분야개수 is highly overall correlated with 대기 and 4 other fieldsHigh correlation
실내공기질 is highly overall correlated with 일련번호 and 6 other fieldsHigh correlation
관할기관 is highly overall correlated with 일련번호 and 5 other fieldsHigh correlation
악취 is highly overall correlated with 일련번호 and 6 other fieldsHigh correlation
대기 is highly overall correlated with 일련번호 and 6 other fieldsHigh correlation
수질 is highly overall correlated with 일련번호 and 6 other fieldsHigh correlation
소음진동 is highly overall correlated with 일련번호 and 6 other fieldsHigh correlation
일련번호 is highly overall correlated with 관할기관 and 5 other fieldsHigh correlation
연락처 has 12 (2.1%) missing valuesMissing
일련번호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:35:36.258863
Analysis finished2024-03-23 05:35:38.500766
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct569
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285
Minimum1
Maximum569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.1 KiB
2024-03-23T14:35:38.665307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29.4
Q1143
median285
Q3427
95-th percentile540.6
Maximum569
Range568
Interquartile range (IQR)284

Descriptive statistics

Standard deviation164.40043
Coefficient of variation (CV)0.5768436
Kurtosis-1.2
Mean285
Median Absolute Deviation (MAD)142
Skewness0
Sum162165
Variance27027.5
MonotonicityStrictly increasing
2024-03-23T14:35:38.971345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
383 1
 
0.2%
377 1
 
0.2%
378 1
 
0.2%
379 1
 
0.2%
380 1
 
0.2%
381 1
 
0.2%
382 1
 
0.2%
384 1
 
0.2%
375 1
 
0.2%
Other values (559) 559
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
569 1
0.2%
568 1
0.2%
567 1
0.2%
566 1
0.2%
565 1
0.2%
564 1
0.2%
563 1
0.2%
562 1
0.2%
561 1
0.2%
560 1
0.2%

관할기관
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
경기도
154 
서울특별시
80 
경상남도
48 
부산광역시
38 
전라남도
36 
Other values (12)
213 

Length

Max length7
Median length5
Mean length4.1019332
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원도
2nd row강원도
3rd row강원도
4th row강원도
5th row강원도

Common Values

ValueCountFrequency (%)
경기도 154
27.1%
서울특별시 80
14.1%
경상남도 48
 
8.4%
부산광역시 38
 
6.7%
전라남도 36
 
6.3%
충청남도 30
 
5.3%
충청북도 27
 
4.7%
전라북도 24
 
4.2%
인천광역시 24
 
4.2%
대구광역시 24
 
4.2%
Other values (7) 84
14.8%

Length

2024-03-23T14:35:39.215452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 154
27.1%
서울특별시 80
14.1%
경상남도 48
 
8.4%
부산광역시 38
 
6.7%
전라남도 36
 
6.3%
충청남도 30
 
5.3%
충청북도 27
 
4.7%
대구광역시 24
 
4.2%
인천광역시 24
 
4.2%
전라북도 24
 
4.2%
Other values (7) 84
14.8%

업체명
Text

Distinct568
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-23T14:35:39.663078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length8.8101933
Min length2

Characters and Unicode

Total characters5013
Distinct characters316
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

Unique567 ?
Unique (%)99.6%

Sample

1st row(자)대한환경건설
2nd row(주)고려환경
3rd row(주)대양환경기술
4th row(주)대영환경
5th row(주)사람과안전 건설화재에너지연구원
ValueCountFrequency (%)
주식회사 74
 
10.9%
주 5
 
0.7%
대한산업보건협회 4
 
0.6%
한국수자원공사 4
 
0.6%
주)지구환경 2
 
0.3%
기술사사무소 2
 
0.3%
주)영동환경 2
 
0.3%
미래환경연구원 2
 
0.3%
산학협력단 2
 
0.3%
서울시자동차정비업협동조합 1
 
0.1%
Other values (583) 583
85.6%
2024-03-23T14:35:40.299697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 363
 
7.2%
( 293
 
5.8%
) 293
 
5.8%
경 283
 
5.6%
환 271
 
5.4%
이 163
 
3.3%
구 116
 
2.3%
연 115
 
2.3%
112
 
2.2%
엔 105
 
2.1%
Other values (306) 2899
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4242
84.6%
Open Punctuation 293
 
5.8%
Close Punctuation 293
 
5.8%
Space Separator 112
 
2.2%
Uppercase Letter 64
 
1.3%
Other Symbol 6
 
0.1%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 363
 
8.6%
경 283
 
6.7%
환 271
 
6.4%
이 163
 
3.8%
구 116
 
2.7%
연 115
 
2.7%
엔 105
 
2.5%
사 102
 
2.4%
기 92
 
2.2%
회 86
 
2.0%
Other values (278) 2546
60.0%
Uppercase Letter
ValueCountFrequency (%)
E 12
18.8%
I 7
10.9%
C 5
 
7.8%
N 5
 
7.8%
T 5
 
7.8%
H 4
 
6.2%
A 4
 
6.2%
S 3
 
4.7%
O 2
 
3.1%
K 2
 
3.1%
Other values (11) 15
23.4%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4248
84.7%
Common 701
 
14.0%
Latin 64
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 363
 
8.5%
경 283
 
6.7%
환 271
 
6.4%
이 163
 
3.8%
구 116
 
2.7%
연 115
 
2.7%
엔 105
 
2.5%
사 102
 
2.4%
기 92
 
2.2%
회 86
 
2.0%
Other values (279) 2552
60.1%
Latin
ValueCountFrequency (%)
E 12
18.8%
I 7
10.9%
C 5
 
7.8%
N 5
 
7.8%
T 5
 
7.8%
H 4
 
6.2%
A 4
 
6.2%
S 3
 
4.7%
O 2
 
3.1%
K 2
 
3.1%
Other values (11) 15
23.4%
Common
ValueCountFrequency (%)
( 293
41.8%
) 293
41.8%
112
 
16.0%
. 1
 
0.1%
- 1
 
0.1%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4242
84.6%
ASCII 765
 
15.3%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 363
 
8.6%
경 283
 
6.7%
환 271
 
6.4%
이 163
 
3.8%
구 116
 
2.7%
연 115
 
2.7%
엔 105
 
2.5%
사 102
 
2.4%
기 92
 
2.2%
회 86
 
2.0%
Other values (278) 2546
60.0%
ASCII
ValueCountFrequency (%)
( 293
38.3%
) 293
38.3%
112
 
14.6%
E 12
 
1.6%
I 7
 
0.9%
C 5
 
0.7%
N 5
 
0.7%
T 5
 
0.7%
H 4
 
0.5%
A 4
 
0.5%
Other values (17) 25
 
3.3%
None
ValueCountFrequency (%)
㈜ 6
100.0%

소재지
Text

UNIQUE 

Distinct569
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
2024-03-23T14:35:40.861070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length31.304042
Min length16

Characters and Unicode

Total characters17812
Distinct characters416
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique569 ?
Unique (%)100.0%

Sample

1st row강원 춘천시 동내면 학곡서3길 20-8 (자)대한환경건설
2nd row강원 원주시 호저면 호저로 498 (주)고려환경
3rd row강원 강릉시 주문진읍 농공단지길 40-22
4th row강원 강릉시 강동면 임곡로 234 (주)대영환경
5th row강원 홍천군 홍천읍 오안로 80
ValueCountFrequency (%)
경기 109
 
2.9%
서울 77
 
2.0%
2층 56
 
1.5%
경기도 45
 
1.2%
경남 38
 
1.0%
3층 30
 
0.8%
안양시 29
 
0.8%
충남 29
 
0.8%
전남 28
 
0.7%
안산시 27
 
0.7%
Other values (1832) 3301
87.6%
2024-03-23T14:35:41.938428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3295
 
18.5%
1 692
 
3.9%
동 607
 
3.4%
2 525
 
2.9%
로 516
 
2.9%
) 484
 
2.7%
( 484
 
2.7%
구 466
 
2.6%
0 389
 
2.2%
시 389
 
2.2%
Other values (406) 9965
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9808
55.1%
Decimal Number 3328
 
18.7%
Space Separator 3295
 
18.5%
Close Punctuation 484
 
2.7%
Open Punctuation 484
 
2.7%
Other Punctuation 155
 
0.9%
Dash Punctuation 129
 
0.7%
Uppercase Letter 103
 
0.6%
Math Symbol 22
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 607
 
6.2%
로 516
 
5.3%
구 466
 
4.8%
시 389
 
4.0%
호 284
 
2.9%
경 280
 
2.9%
산 280
 
2.9%
길 252
 
2.6%
남 206
 
2.1%
층 195
 
2.0%
Other values (365) 6333
64.6%
Uppercase Letter
ValueCountFrequency (%)
B 18
17.5%
A 15
14.6%
K 9
8.7%
S 8
7.8%
I 7
 
6.8%
T 7
 
6.8%
E 6
 
5.8%
F 6
 
5.8%
D 5
 
4.9%
V 4
 
3.9%
Other values (11) 18
17.5%
Decimal Number
ValueCountFrequency (%)
1 692
20.8%
2 525
15.8%
0 389
11.7%
3 373
11.2%
5 294
8.8%
4 281
8.4%
6 231
 
6.9%
7 195
 
5.9%
8 176
 
5.3%
9 172
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
b 1
33.3%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
3295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 484
100.0%
Other Punctuation
ValueCountFrequency (%)
, 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9809
55.1%
Common 7897
44.3%
Latin 106
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 607
 
6.2%
로 516
 
5.3%
구 466
 
4.8%
시 389
 
4.0%
호 284
 
2.9%
경 280
 
2.9%
산 280
 
2.9%
길 252
 
2.6%
남 206
 
2.1%
층 195
 
2.0%
Other values (366) 6334
64.6%
Latin
ValueCountFrequency (%)
B 18
17.0%
A 15
14.2%
K 9
8.5%
S 8
 
7.5%
I 7
 
6.6%
T 7
 
6.6%
E 6
 
5.7%
F 6
 
5.7%
D 5
 
4.7%
V 4
 
3.8%
Other values (14) 21
19.8%
Common
ValueCountFrequency (%)
3295
41.7%
1 692
 
8.8%
2 525
 
6.6%
) 484
 
6.1%
( 484
 
6.1%
0 389
 
4.9%
3 373
 
4.7%
5 294
 
3.7%
4 281
 
3.6%
6 231
 
2.9%
Other values (6) 849
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9808
55.1%
ASCII 8003
44.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3295
41.2%
1 692
 
8.6%
2 525
 
6.6%
) 484
 
6.0%
( 484
 
6.0%
0 389
 
4.9%
3 373
 
4.7%
5 294
 
3.7%
4 281
 
3.5%
6 231
 
2.9%
Other values (30) 955
 
11.9%
Hangul
ValueCountFrequency (%)
동 607
 
6.2%
로 516
 
5.3%
구 466
 
4.8%
시 389
 
4.0%
호 284
 
2.9%
경 280
 
2.9%
산 280
 
2.9%
길 252
 
2.6%
남 206
 
2.1%
층 195
 
2.0%
Other values (365) 6333
64.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

연락처
Text

MISSING 

Distinct557
Distinct (%)100.0%
Missing12
Missing (%)2.1%
Memory size4.6 KiB
2024-03-23T14:35:42.386925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.998205
Min length9

Characters and Unicode

Total characters6683
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique557 ?
Unique (%)100.0%

Sample

1st row033-262-5753
2nd row033-731-1951
3rd row033-662-1730
4th row033-648-3350
5th row033-436-7001
ValueCountFrequency (%)
033-242-2293 1
 
0.2%
02-6953-2326 1
 
0.2%
070-4870-1100 1
 
0.2%
02-762-0293 1
 
0.2%
02-6952-7880 1
 
0.2%
02-6674-8997 1
 
0.2%
02-863-9693 1
 
0.2%
02-863-9694 1
 
0.2%
02-549-8723 1
 
0.2%
02-434-3214 1
 
0.2%
Other values (547) 547
98.2%
2024-03-23T14:35:42.994517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1108
16.6%
0 1029
15.4%
3 683
10.2%
2 651
9.7%
1 639
9.6%
5 570
8.5%
6 469
7.0%
4 464
6.9%
7 399
 
6.0%
8 381
 
5.7%
Other values (3) 290
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5560
83.2%
Dash Punctuation 1108
 
16.6%
Math Symbol 14
 
0.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1029
18.5%
3 683
12.3%
2 651
11.7%
1 639
11.5%
5 570
10.3%
6 469
8.4%
4 464
8.3%
7 399
 
7.2%
8 381
 
6.9%
9 275
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1108
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6683
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1108
16.6%
0 1029
15.4%
3 683
10.2%
2 651
9.7%
1 639
9.6%
5 570
8.5%
6 469
7.0%
4 464
6.9%
7 399
 
6.0%
8 381
 
5.7%
Other values (3) 290
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1108
16.6%
0 1029
15.4%
3 683
10.2%
2 651
9.7%
1 639
9.6%
5 570
8.5%
6 469
7.0%
4 464
6.9%
7 399
 
6.0%
8 381
 
5.7%
Other values (3) 290
 
4.3%

분야개수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
1
397 
2
90 
3
43 
4
 
25
5
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 397
69.8%
2 90
 
15.8%
3 43
 
7.6%
4 25
 
4.4%
5 14
 
2.5%

Length

2024-03-23T14:35:43.245437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:35:43.457348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 397
69.8%
2 90
 
15.8%
3 43
 
7.6%
4 25
 
4.4%
5 14
 
2.5%

대기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
O
323 
<NA>
246 

Length

Max length4
Median length1
Mean length2.2970123
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowO
3rd row<NA>
4th rowO
5th row<NA>

Common Values

ValueCountFrequency (%)
O 323
56.8%
<NA> 246
43.2%

Length

2024-03-23T14:35:43.673816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:35:43.906137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 323
56.8%
na 246
43.2%

수질
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
339 
O
230 

Length

Max length4
Median length4
Mean length2.7873462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO
2nd rowO
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 339
59.6%
O 230
40.4%

Length

2024-03-23T14:35:44.129831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:35:44.403557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 339
59.6%
o 230
40.4%

소음진동
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
402 
O
167 

Length

Max length4
Median length4
Mean length3.1195079
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th rowO

Common Values

ValueCountFrequency (%)
<NA> 402
70.7%
O 167
29.3%

Length

2024-03-23T14:35:44.617499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:35:44.785358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
70.7%
o 167
29.3%

실내공기질
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
481 
O
88 

Length

Max length4
Median length4
Mean length3.5360281
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 481
84.5%
O 88
 
15.5%

Length

2024-03-23T14:35:44.980428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:35:45.167548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 481
84.5%
o 88
 
15.5%

악취
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.6 KiB
<NA>
501 
O
68 

Length

Max length4
Median length4
Mean length3.6414763
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd rowO
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 501
88.0%
O 68
 
12.0%

Length

2024-03-23T14:35:45.342026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:35:45.558585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 501
88.0%
o 68
 
12.0%

Interactions

2024-03-23T14:35:37.457139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:35:45.672251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호관할기관분야개수
일련번호1.0000.9580.205
관할기관0.9581.0000.134
분야개수0.2050.1341.000
2024-03-23T14:35:45.840665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야개수실내공기질관할기관악취대기수질소음진동
분야개수1.0001.0000.0681.0001.0001.0001.000
실내공기질1.0001.0001.0001.0001.0001.0001.000
관할기관0.0681.0001.0001.0001.0001.0001.000
악취1.0001.0001.0001.0001.0001.0001.000
대기1.0001.0001.0001.0001.0001.0001.000
수질1.0001.0001.0001.0001.0001.0001.000
소음진동1.0001.0001.0001.0001.0001.0001.000
2024-03-23T14:35:46.080556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호관할기관분야개수대기수질소음진동실내공기질악취
일련번호1.0000.8100.0861.0001.0001.0001.0001.000
관할기관0.8101.0000.0681.0001.0001.0001.0001.000
분야개수0.0860.0681.0001.0001.0001.0001.0001.000
대기1.0001.0001.0001.0001.0001.0001.0001.000
수질1.0001.0001.0001.0001.0001.0001.0001.000
소음진동1.0001.0001.0001.0001.0001.0001.0001.000
실내공기질1.0001.0001.0001.0001.0001.0001.0001.000
악취1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-23T14:35:38.115895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:35:38.400279image/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

일련번호관할기관업체명소재지연락처분야개수대기수질소음진동실내공기질악취
01강원도(자)대한환경건설강원 춘천시 동내면 학곡서3길 20-8 (자)대한환경건설033-262-57531<NA>O<NA><NA><NA>
12강원도(주)고려환경강원 원주시 호저면 호저로 498 (주)고려환경033-731-19512OO<NA><NA><NA>
23강원도(주)대양환경기술강원 강릉시 주문진읍 농공단지길 40-22033-662-17301<NA><NA><NA><NA>O
34강원도(주)대영환경강원 강릉시 강동면 임곡로 234 (주)대영환경033-648-33501O<NA><NA><NA><NA>
45강원도(주)사람과안전 건설화재에너지연구원강원 홍천군 홍천읍 오안로 80033-436-70011<NA><NA>O<NA><NA>
56강원도(주)삼성환경엔지니어링강원 원주시 호저면 우무개로 326033-748-64311<NA>O<NA><NA><NA>
67강원도(주)선진환경강원 원주시 치악로 1351 (관설동) (주)선진환경033-764-58071<NA>O<NA><NA><NA>
78강원도(주)알렉스분석시험소강원 원주시 지정면 청정로 80-1033-744-28173<NA>OOO<NA>
89강원도(주)영동환경이앤텍강원 원주시 판부면 오성마을길 63-7033-763-87002OO<NA><NA><NA>
910강원도(주)예스코이에스강원 철원군 갈말읍 풍전길 44 (씨아이바이오텍(주)) 예스코이에스033-452-84721<NA>O<NA><NA><NA>
일련번호관할기관업체명소재지연락처분야개수대기수질소음진동실내공기질악취
559560충청북도주식회사 아이프로환경충북 청주시 청원구 오창읍 주성2길 2 3층(미소빌딩)043-213-04111O<NA><NA><NA><NA>
560561충청북도주식회사 연합환경기술충북 청주시 청원구 공항로 101 (율량동) 2층043-218-97081O<NA><NA><NA><NA>
561562충청북도주식회사 유엔환경엔지니어링충북 음성군 음성읍 문화1길 13 3층043-750-82001O<NA><NA><NA><NA>
562563충청북도지이티충북 음성군 음성읍 토계울길69번길 7043-221-30601<NA><NA>O<NA><NA>
563564충청북도충북환경(주)충북 청주시 서원구 호국로 169 (사직동) 2층043-232-82011O<NA><NA><NA><NA>
564565충청북도충청산업보건연구원충북 청주시 서원구 창직로88번길 44 (모충동) 2층043-267-25991<NA><NA><NA>O<NA>
565566충청북도충청종합환경(주)충북 청주시 흥덕구 호암로 25-35 충청종합환경(주)043-274-55684OOO<NA>O
566567충청북도한국건설연구소충북 청주시 상당구 남일면 쌍수관기길 5-28042-232-38281<NA><NA>O<NA><NA>
567568충청북도한국환경시험연구소충북 청주시 흥덕구 강내면 태성탑연로 81-7043-267-66881<NA>O<NA><NA><NA>
568569충청북도호암엔지니어링(주)충북 충주시 금대2길 49-4 (칠금동) 호암엔지니어링043-845-54243OOO<NA><NA>