Overview

Dataset statistics

Number of variables22
Number of observations5469
Missing cells60471
Missing cells (%)50.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1014.9 KiB
Average record size in memory190.0 B

Variable types

Categorical3
Text3
Unsupported9
Boolean1
DateTime1
Numeric5

Dataset

Description경기도 유해화학물질 취급사업장 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=M37YD49AM5UFN6VJM2CZ29567068&infSeq=1

Alerts

2016년이후화학사고발생여부 has constant value ""Constant
화학사고발생여부기준일자 has constant value ""Constant
소재지도로명주소 has 146 (2.7%) missing valuesMissing
산업단지유형 has 5469 (100.0%) missing valuesMissing
산업단지명 has 5469 (100.0%) missing valuesMissing
대기배출시설규모 has 5469 (100.0%) missing valuesMissing
수질배출시설규모 has 5469 (100.0%) missing valuesMissing
유독물질취급여부 has 5469 (100.0%) missing valuesMissing
제한물질취급여부 has 5469 (100.0%) missing valuesMissing
금지물질취급여부 has 5469 (100.0%) missing valuesMissing
사고대비물질취급여부 has 5469 (100.0%) missing valuesMissing
2016년이후화학사고발생여부 has 5406 (98.8%) missing valuesMissing
2016년이후최근화학사고발생일자 has 5406 (98.8%) missing valuesMissing
전화번호 has 5469 (100.0%) missing valuesMissing
우편번호 has 71 (1.3%) missing valuesMissing
WGS84위도 has 96 (1.8%) missing valuesMissing
WGS84경도 has 96 (1.8%) missing valuesMissing
연간취급량상한선 is highly skewed (γ1 = 28.28025918)Skewed
산업단지유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
산업단지명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대기배출시설규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수질배출시설규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유독물질취급여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제한물질취급여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
금지물질취급여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사고대비물질취급여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-12 23:22:59.928732
Analysis finished2024-03-12 23:23:00.976163
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size42.9 KiB
안산시
1051 
화성시
724 
시흥시
518 
평택시
317 
부천시
 
258
Other values (26)
2601 

Length

Max length4
Median length3
Mean length3.0288901
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 1051
19.2%
화성시 724
13.2%
시흥시 518
 
9.5%
평택시 317
 
5.8%
부천시 258
 
4.7%
안양시 252
 
4.6%
성남시 250
 
4.6%
용인시 229
 
4.2%
고양시 212
 
3.9%
김포시 205
 
3.7%
Other values (21) 1453
26.6%

Length

2024-03-13T08:23:01.025012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 1051
19.2%
화성시 724
13.2%
시흥시 518
 
9.5%
평택시 317
 
5.8%
부천시 258
 
4.7%
안양시 252
 
4.6%
성남시 250
 
4.6%
용인시 229
 
4.2%
고양시 212
 
3.9%
김포시 205
 
3.7%
Other values (21) 1453
26.6%
Distinct5300
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size42.9 KiB
2024-03-13T08:23:01.213967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length7.1486561
Min length2

Characters and Unicode

Total characters39096
Distinct characters646
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5160 ?
Unique (%)94.3%

Sample

1st row노루표페인트㈜
2nd row대성우드
3rd row삼화페인트가평공사
4th row삼화페인트칠칠공사
5th row주식회사청명
ValueCountFrequency (%)
주식회사 691
 
10.7%
안산공장 16
 
0.2%
안산지점 15
 
0.2%
제2공장 11
 
0.2%
지점 11
 
0.2%
2공장 9
 
0.1%
시화공장 9
 
0.1%
반월공장 7
 
0.1%
삼화페인트 7
 
0.1%
현대상사 6
 
0.1%
Other values (5381) 5667
87.9%
2024-03-13T08:23:01.529170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2099
 
5.4%
1831
 
4.7%
1504
 
3.8%
1491
 
3.8%
1479
 
3.8%
1253
 
3.2%
980
 
2.5%
959
 
2.5%
731
 
1.9%
584
 
1.5%
Other values (636) 26185
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34628
88.6%
Other Symbol 1479
 
3.8%
Space Separator 980
 
2.5%
Uppercase Letter 615
 
1.6%
Open Punctuation 469
 
1.2%
Close Punctuation 468
 
1.2%
Lowercase Letter 206
 
0.5%
Decimal Number 148
 
0.4%
Other Punctuation 96
 
0.2%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2099
 
6.1%
1831
 
5.3%
1504
 
4.3%
1491
 
4.3%
1253
 
3.6%
959
 
2.8%
731
 
2.1%
584
 
1.7%
570
 
1.6%
519
 
1.5%
Other values (573) 23087
66.7%
Uppercase Letter
ValueCountFrequency (%)
C 101
16.4%
S 57
 
9.3%
T 48
 
7.8%
E 43
 
7.0%
K 37
 
6.0%
H 36
 
5.9%
M 33
 
5.4%
L 27
 
4.4%
N 25
 
4.1%
P 25
 
4.1%
Other values (14) 183
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 31
15.0%
a 20
9.7%
t 19
9.2%
o 17
8.3%
c 17
8.3%
r 15
7.3%
h 15
7.3%
n 15
7.3%
d 13
 
6.3%
i 11
 
5.3%
Other values (9) 33
16.0%
Decimal Number
ValueCountFrequency (%)
2 61
41.2%
1 28
18.9%
3 17
 
11.5%
0 12
 
8.1%
8 8
 
5.4%
4 8
 
5.4%
6 6
 
4.1%
5 4
 
2.7%
9 3
 
2.0%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 56
58.3%
& 26
27.1%
, 12
 
12.5%
? 1
 
1.0%
· 1
 
1.0%
Other Symbol
ValueCountFrequency (%)
1479
100.0%
Space Separator
ValueCountFrequency (%)
980
100.0%
Open Punctuation
ValueCountFrequency (%)
( 469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36107
92.4%
Common 2168
 
5.5%
Latin 821
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2099
 
5.8%
1831
 
5.1%
1504
 
4.2%
1491
 
4.1%
1479
 
4.1%
1253
 
3.5%
959
 
2.7%
731
 
2.0%
584
 
1.6%
570
 
1.6%
Other values (574) 23606
65.4%
Latin
ValueCountFrequency (%)
C 101
 
12.3%
S 57
 
6.9%
T 48
 
5.8%
E 43
 
5.2%
K 37
 
4.5%
H 36
 
4.4%
M 33
 
4.0%
e 31
 
3.8%
L 27
 
3.3%
N 25
 
3.0%
Other values (33) 383
46.7%
Common
ValueCountFrequency (%)
980
45.2%
( 469
21.6%
) 468
21.6%
2 61
 
2.8%
. 56
 
2.6%
1 28
 
1.3%
& 26
 
1.2%
3 17
 
0.8%
0 12
 
0.6%
, 12
 
0.6%
Other values (9) 39
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34628
88.6%
ASCII 2988
 
7.6%
None 1480
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2099
 
6.1%
1831
 
5.3%
1504
 
4.3%
1491
 
4.3%
1253
 
3.6%
959
 
2.8%
731
 
2.1%
584
 
1.7%
570
 
1.6%
519
 
1.5%
Other values (573) 23087
66.7%
None
ValueCountFrequency (%)
1479
99.9%
· 1
 
0.1%
ASCII
ValueCountFrequency (%)
980
32.8%
( 469
15.7%
) 468
15.7%
C 101
 
3.4%
2 61
 
2.0%
S 57
 
1.9%
. 56
 
1.9%
T 48
 
1.6%
E 43
 
1.4%
K 37
 
1.2%
Other values (51) 668
22.4%
Distinct3974
Distinct (%)74.7%
Missing146
Missing (%)2.7%
Memory size42.9 KiB
2024-03-13T08:23:01.838061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length20.282172
Min length13

Characters and Unicode

Total characters107962
Distinct characters377
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3496 ?
Unique (%)65.7%

Sample

1st row경기도 가평군 가평읍 연인길 12
2nd row경기도 가평군 설악면 유명로 1685
3rd row경기도 가평군 가평읍 달전로 49
4th row경기도 가평군 조종면 현창로 73-1
5th row경기도 가평군 북면 화악산로124번길 11
ValueCountFrequency (%)
경기도 5323
 
20.9%
안산시 1046
 
4.1%
단원구 943
 
3.7%
화성시 700
 
2.8%
시흥시 517
 
2.0%
평택시 312
 
1.2%
성남시 244
 
1.0%
부천시 243
 
1.0%
안양시 240
 
0.9%
용인시 225
 
0.9%
Other values (3683) 15620
61.5%
2024-03-13T08:23:02.211450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20090
18.6%
5957
 
5.5%
5557
 
5.1%
5542
 
5.1%
5443
 
5.0%
4718
 
4.4%
1 4056
 
3.8%
2 2858
 
2.6%
2481
 
2.3%
2209
 
2.0%
Other values (367) 49051
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66909
62.0%
Space Separator 20090
 
18.6%
Decimal Number 19805
 
18.3%
Dash Punctuation 1148
 
1.1%
Other Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5957
 
8.9%
5557
 
8.3%
5542
 
8.3%
5443
 
8.1%
4718
 
7.1%
2481
 
3.7%
2209
 
3.3%
2141
 
3.2%
2054
 
3.1%
1821
 
2.7%
Other values (354) 28986
43.3%
Decimal Number
ValueCountFrequency (%)
1 4056
20.5%
2 2858
14.4%
3 2161
10.9%
4 1994
10.1%
7 1597
 
8.1%
5 1590
 
8.0%
6 1537
 
7.8%
0 1361
 
6.9%
9 1341
 
6.8%
8 1310
 
6.6%
Space Separator
ValueCountFrequency (%)
20090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1148
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66909
62.0%
Common 41053
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5957
 
8.9%
5557
 
8.3%
5542
 
8.3%
5443
 
8.1%
4718
 
7.1%
2481
 
3.7%
2209
 
3.3%
2141
 
3.2%
2054
 
3.1%
1821
 
2.7%
Other values (354) 28986
43.3%
Common
ValueCountFrequency (%)
20090
48.9%
1 4056
 
9.9%
2 2858
 
7.0%
3 2161
 
5.3%
4 1994
 
4.9%
7 1597
 
3.9%
5 1590
 
3.9%
6 1537
 
3.7%
0 1361
 
3.3%
9 1341
 
3.3%
Other values (3) 2468
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66909
62.0%
ASCII 41053
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20090
48.9%
1 4056
 
9.9%
2 2858
 
7.0%
3 2161
 
5.3%
4 1994
 
4.9%
7 1597
 
3.9%
5 1590
 
3.9%
6 1537
 
3.7%
0 1361
 
3.3%
9 1341
 
3.3%
Other values (3) 2468
 
6.0%
Hangul
ValueCountFrequency (%)
5957
 
8.9%
5557
 
8.3%
5542
 
8.3%
5443
 
8.1%
4718
 
7.1%
2481
 
3.7%
2209
 
3.3%
2141
 
3.2%
2054
 
3.1%
1821
 
2.7%
Other values (354) 28986
43.3%
Distinct5060
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size42.9 KiB
2024-03-13T08:23:02.402993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length27.075882
Min length11

Characters and Unicode

Total characters148078
Distinct characters534
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4804 ?
Unique (%)87.8%

Sample

1st row경기도 가평군 가평읍 읍내리 338-4번지
2nd row경기도 가평군 설악면 선촌리 368-4번지
3rd row경기도 가평군 가평읍 달전리 338-1번지
4th row경기도 가평군 조종면 현리 322-4번지
5th row경기도 가평군 북면 목동리 699-33번지 주식회사청명
ValueCountFrequency (%)
경기도 5469
 
17.7%
안산시 1051
 
3.4%
단원구 944
 
3.0%
화성시 724
 
2.3%
시흥시 518
 
1.7%
정왕동 433
 
1.4%
평택시 317
 
1.0%
부천시 258
 
0.8%
성곡동 258
 
0.8%
1층 253
 
0.8%
Other values (6547) 20746
67.0%
2024-03-13T08:23:02.730461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25503
 
17.2%
6376
 
4.3%
1 6301
 
4.3%
5795
 
3.9%
5711
 
3.9%
5615
 
3.8%
5499
 
3.7%
5332
 
3.6%
5151
 
3.5%
- 4305
 
2.9%
Other values (524) 72490
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86884
58.7%
Decimal Number 30258
 
20.4%
Space Separator 25503
 
17.2%
Dash Punctuation 4305
 
2.9%
Uppercase Letter 622
 
0.4%
Other Punctuation 183
 
0.1%
Close Punctuation 114
 
0.1%
Open Punctuation 111
 
0.1%
Lowercase Letter 57
 
< 0.1%
Math Symbol 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6376
 
7.3%
5795
 
6.7%
5711
 
6.6%
5615
 
6.5%
5499
 
6.3%
5332
 
6.1%
5151
 
5.9%
2743
 
3.2%
2055
 
2.4%
2002
 
2.3%
Other values (461) 40605
46.7%
Uppercase Letter
ValueCountFrequency (%)
A 127
20.4%
B 111
17.8%
C 66
10.6%
T 42
 
6.8%
I 41
 
6.6%
E 30
 
4.8%
S 28
 
4.5%
D 23
 
3.7%
K 21
 
3.4%
R 18
 
2.9%
Other values (14) 115
18.5%
Lowercase Letter
ValueCountFrequency (%)
e 16
28.1%
t 7
12.3%
c 6
 
10.5%
r 5
 
8.8%
n 5
 
8.8%
a 3
 
5.3%
i 3
 
5.3%
l 3
 
5.3%
y 2
 
3.5%
m 2
 
3.5%
Other values (4) 5
 
8.8%
Decimal Number
ValueCountFrequency (%)
1 6301
20.8%
2 3937
13.0%
3 3235
10.7%
0 2773
9.2%
4 2769
9.2%
5 2722
9.0%
6 2664
8.8%
7 2089
 
6.9%
9 1991
 
6.6%
8 1777
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 162
88.5%
. 10
 
5.5%
/ 4
 
2.2%
& 3
 
1.6%
? 3
 
1.6%
· 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 111
97.4%
] 3
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 108
97.3%
[ 3
 
2.7%
Letter Number
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Space Separator
ValueCountFrequency (%)
25503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4305
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86884
58.7%
Common 60508
40.9%
Latin 686
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6376
 
7.3%
5795
 
6.7%
5711
 
6.6%
5615
 
6.5%
5499
 
6.3%
5332
 
6.1%
5151
 
5.9%
2743
 
3.2%
2055
 
2.4%
2002
 
2.3%
Other values (461) 40605
46.7%
Latin
ValueCountFrequency (%)
A 127
18.5%
B 111
16.2%
C 66
 
9.6%
T 42
 
6.1%
I 41
 
6.0%
E 30
 
4.4%
S 28
 
4.1%
D 23
 
3.4%
K 21
 
3.1%
R 18
 
2.6%
Other values (30) 179
26.1%
Common
ValueCountFrequency (%)
25503
42.1%
1 6301
 
10.4%
- 4305
 
7.1%
2 3937
 
6.5%
3 3235
 
5.3%
0 2773
 
4.6%
4 2769
 
4.6%
5 2722
 
4.5%
6 2664
 
4.4%
7 2089
 
3.5%
Other values (13) 4210
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86884
58.7%
ASCII 61186
41.3%
Number Forms 7
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25503
41.7%
1 6301
 
10.3%
- 4305
 
7.0%
2 3937
 
6.4%
3 3235
 
5.3%
0 2773
 
4.5%
4 2769
 
4.5%
5 2722
 
4.4%
6 2664
 
4.4%
7 2089
 
3.4%
Other values (50) 4888
 
8.0%
Hangul
ValueCountFrequency (%)
6376
 
7.3%
5795
 
6.7%
5711
 
6.6%
5615
 
6.5%
5499
 
6.3%
5332
 
6.1%
5151
 
5.9%
2743
 
3.2%
2055
 
2.4%
2002
 
2.3%
Other values (461) 40605
46.7%
Number Forms
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
None
ValueCountFrequency (%)
· 1
100.0%

업종명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.9 KiB
알선판매업
2623 
사용업
2077 
판매업
353 
제조업
267 
운반업
 
88

Length

Max length5
Median length3
Mean length3.9815323
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
알선판매업 2623
48.0%
사용업 2077
38.0%
판매업 353
 
6.5%
제조업 267
 
4.9%
운반업 88
 
1.6%
보관저장업 61
 
1.1%

Length

2024-03-13T08:23:02.839391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:23:02.924184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
알선판매업 2623
48.0%
사용업 2077
38.0%
판매업 353
 
6.5%
제조업 267
 
4.9%
운반업 88
 
1.6%
보관저장업 61
 
1.1%

산업단지유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

산업단지명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

대기배출시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

수질배출시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

유독물질취급여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

제한물질취급여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

금지물질취급여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

사고대비물질취급여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

2016년이후화학사고발생여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.6%
Missing5406
Missing (%)98.8%
Memory size10.8 KiB
True
 
63
(Missing)
5406 
ValueCountFrequency (%)
True 63
 
1.2%
(Missing) 5406
98.8%
2024-03-13T08:23:03.005330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct62
Distinct (%)98.4%
Missing5406
Missing (%)98.8%
Memory size42.9 KiB
Minimum2016-03-15 00:00:00
Maximum2023-12-12 00:00:00
2024-03-13T08:23:03.087252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:23:03.189003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.9 KiB
2023-12-31
5469 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 5469
100.0%

Length

2024-03-13T08:23:03.284695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:23:03.350652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 5469
100.0%

연간취급량상한선
Real number (ℝ)

SKEWED 

Distinct2540
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5097.7917
Minimum0
Maximum2400000
Zeros12
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2024-03-13T08:23:03.431487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q114.6
median124.9
Q3900
95-th percentile11445.08
Maximum2400000
Range2400000
Interquartile range (IQR)885.4

Descriptive statistics

Standard deviation53225.071
Coefficient of variation (CV)10.440809
Kurtosis1007.3287
Mean5097.7917
Median Absolute Deviation (MAD)120.7
Skewness28.280259
Sum27879823
Variance2.8329082 × 109
MonotonicityNot monotonic
2024-03-13T08:23:03.540859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0 149
 
2.7%
12.8 122
 
2.2%
9.4 55
 
1.0%
20.0 43
 
0.8%
10.0 43
 
0.8%
1.0 42
 
0.8%
200.0 35
 
0.6%
30.0 35
 
0.6%
3.0 35
 
0.6%
0.1 33
 
0.6%
Other values (2530) 4877
89.2%
ValueCountFrequency (%)
0.0 12
 
0.2%
0.1 33
0.6%
0.2 30
0.5%
0.3 16
0.3%
0.4 14
0.3%
0.5 14
0.3%
0.6 9
 
0.2%
0.7 11
 
0.2%
0.8 7
 
0.1%
0.9 10
 
0.2%
ValueCountFrequency (%)
2400000.0 1
< 0.1%
1467242.4 1
< 0.1%
1281105.8 1
< 0.1%
1279000.0 1
< 0.1%
904508.8 1
< 0.1%
738000.0 1
< 0.1%
640294.7 1
< 0.1%
589271.8 1
< 0.1%
584000.0 1
< 0.1%
548147.0 1
< 0.1%

사업자등록번호
Real number (ℝ)

Distinct5240
Distinct (%)96.3%
Missing29
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.3686495 × 109
Minimum1.0102856 × 109
Maximum8.998601 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2024-03-13T08:23:03.643692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0102856 × 109
5-th percentile1.1864155 × 109
Q11.2781445 × 109
median1.3486047 × 109
Q32.2582234 × 109
95-th percentile7.3930652 × 109
Maximum8.998601 × 109
Range7.9883154 × 109
Interquartile range (IQR)9.8007889 × 108

Descriptive statistics

Standard deviation2.0103072 × 109
Coefficient of variation (CV)0.84871451
Kurtosis2.132338
Mean2.3686495 × 109
Median Absolute Deviation (MAD)90467603
Skewness1.8443635
Sum1.2885453 × 1013
Variance4.0413351 × 1018
MonotonicityNot monotonic
2024-03-13T08:23:03.753138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3068200471 7
 
0.1%
1248651153 5
 
0.1%
6748701704 5
 
0.1%
1308300018 4
 
0.1%
1208117541 3
 
0.1%
6128153314 3
 
0.1%
1338122211 3
 
0.1%
1258116042 3
 
0.1%
1348107528 3
 
0.1%
1258104075 3
 
0.1%
Other values (5230) 5401
98.8%
(Missing) 29
 
0.5%
ValueCountFrequency (%)
1010285607 1
< 0.1%
1010431013 1
< 0.1%
1010805624 1
< 0.1%
1011445554 1
< 0.1%
1018110436 1
< 0.1%
1018118476 1
< 0.1%
1018121307 1
< 0.1%
1018609308 1
< 0.1%
1018633055 1
< 0.1%
1018633360 1
< 0.1%
ValueCountFrequency (%)
8998601043 1
< 0.1%
8988101064 1
< 0.1%
8988100594 1
< 0.1%
8980901976 1
< 0.1%
8978101469 1
< 0.1%
8970400514 1
< 0.1%
8968801373 2
< 0.1%
8968701212 1
< 0.1%
8968102714 1
< 0.1%
8964100331 1
< 0.1%

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5469
Missing (%)100.0%
Memory size48.2 KiB

우편번호
Real number (ℝ)

MISSING 

Distinct1632
Distinct (%)30.2%
Missing71
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean15017.392
Minimum10003
Maximum18635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2024-03-13T08:23:03.883341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10374.25
Q113557.25
median15422
Q317122.25
95-th percentile18574
Maximum18635
Range8632
Interquartile range (IQR)3565

Descriptive statistics

Standard deviation2534.6354
Coefficient of variation (CV)0.16878
Kurtosis-0.77039517
Mean15017.392
Median Absolute Deviation (MAD)1819
Skewness-0.40879456
Sum81063881
Variance6424376.5
MonotonicityNot monotonic
2024-03-13T08:23:04.000337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15431 130
 
2.4%
15103 85
 
1.6%
18623 76
 
1.4%
15433 74
 
1.4%
15429 61
 
1.1%
14117 58
 
1.1%
15090 56
 
1.0%
15091 47
 
0.9%
15528 46
 
0.8%
18554 41
 
0.7%
Other values (1622) 4724
86.4%
(Missing) 71
 
1.3%
ValueCountFrequency (%)
10003 4
 
0.1%
10005 1
 
< 0.1%
10008 6
0.1%
10009 1
 
< 0.1%
10010 5
0.1%
10011 11
0.2%
10012 4
 
0.1%
10013 1
 
< 0.1%
10014 1
 
< 0.1%
10016 4
 
0.1%
ValueCountFrequency (%)
18635 4
0.1%
18634 3
0.1%
18633 5
0.1%
18632 4
0.1%
18631 4
0.1%
18630 4
0.1%
18629 2
 
< 0.1%
18628 3
0.1%
18627 3
0.1%
18626 4
0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct4133
Distinct (%)76.9%
Missing96
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean37.370685
Minimum36.921577
Maximum38.106112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2024-03-13T08:23:04.112352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921577
5-th percentile37.035413
Q137.242922
median37.325009
Q337.477602
95-th percentile37.843138
Maximum38.106112
Range1.1845352
Interquartile range (IQR)0.23467999

Descriptive statistics

Standard deviation0.22854857
Coefficient of variation (CV)0.0061157181
Kurtosis0.12972414
Mean37.370685
Median Absolute Deviation (MAD)0.10985744
Skewness0.70304238
Sum200792.69
Variance0.052234449
MonotonicityNot monotonic
2024-03-13T08:23:04.220440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3716127805 51
 
0.9%
37.0844123125 30
 
0.5%
37.3213219086 26
 
0.5%
37.3201262611 22
 
0.4%
37.438418567 21
 
0.4%
37.3926182411 19
 
0.3%
37.3182035426 15
 
0.3%
37.3233710989 15
 
0.3%
37.309229085 14
 
0.3%
37.084220452 11
 
0.2%
Other values (4123) 5149
94.1%
(Missing) 96
 
1.8%
ValueCountFrequency (%)
36.9215766277 1
< 0.1%
36.9236536026 1
< 0.1%
36.9286395689 1
< 0.1%
36.9439205767 1
< 0.1%
36.9494726346 1
< 0.1%
36.9514855353 1
< 0.1%
36.9515774474 1
< 0.1%
36.9528822167 1
< 0.1%
36.9531805494 1
< 0.1%
36.9535011867 1
< 0.1%
ValueCountFrequency (%)
38.1061117955 1
< 0.1%
38.0975323133 2
< 0.1%
38.0726009588 1
< 0.1%
38.0708166728 1
< 0.1%
38.0688025954 1
< 0.1%
38.0550284368 1
< 0.1%
38.0497310076 1
< 0.1%
38.046364633 1
< 0.1%
38.028333191 1
< 0.1%
38.024364869 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct4133
Distinct (%)76.9%
Missing96
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean126.91728
Minimum126.54389
Maximum127.71739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2024-03-13T08:23:04.322661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54389
5-th percentile126.70148
Q1126.7736
median126.87874
Q3127.05701
95-th percentile127.25385
Maximum127.71739
Range1.1735058
Interquartile range (IQR)0.28341529

Descriptive statistics

Standard deviation0.18936772
Coefficient of variation (CV)0.0014920563
Kurtosis0.33930521
Mean126.91728
Median Absolute Deviation (MAD)0.1190607
Skewness0.78200999
Sum681926.52
Variance0.035860133
MonotonicityNot monotonic
2024-03-13T08:23:04.428778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9514327046 51
 
0.9%
126.8980854718 30
 
0.5%
126.7898828225 26
 
0.5%
126.7904132393 22
 
0.4%
127.1780452538 21
 
0.4%
126.9541265594 19
 
0.3%
126.7519124095 15
 
0.3%
126.788892882 15
 
0.3%
126.7770869858 14
 
0.3%
126.8975806836 11
 
0.2%
Other values (4123) 5149
94.1%
(Missing) 96
 
1.8%
ValueCountFrequency (%)
126.5438858059 1
< 0.1%
126.5455712226 1
< 0.1%
126.546660519 2
< 0.1%
126.5468561086 1
< 0.1%
126.5469951374 1
< 0.1%
126.5471841376 1
< 0.1%
126.5476160049 1
< 0.1%
126.5481993943 1
< 0.1%
126.548315156 1
< 0.1%
126.5495244569 1
< 0.1%
ValueCountFrequency (%)
127.7173916229 1
< 0.1%
127.6688093917 1
< 0.1%
127.6618110691 1
< 0.1%
127.658439038 1
< 0.1%
127.6572148138 1
< 0.1%
127.640326505 1
< 0.1%
127.6352462161 1
< 0.1%
127.6345924993 1
< 0.1%
127.632613107 1
< 0.1%
127.6284886745 1
< 0.1%

Sample

시군명업체명소재지도로명주소소재지지번주소업종명산업단지유형산업단지명대기배출시설규모수질배출시설규모유독물질취급여부제한물질취급여부금지물질취급여부사고대비물질취급여부2016년이후화학사고발생여부2016년이후최근화학사고발생일자화학사고발생여부기준일자연간취급량상한선사업자등록번호전화번호우편번호WGS84위도WGS84경도
0가평군노루표페인트㈜경기도 가평군 가평읍 연인길 12경기도 가평군 가평읍 읍내리 338-4번지알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-3112.81328187074<NA>1241837.8284127.512932
1가평군대성우드경기도 가평군 설악면 유명로 1685경기도 가평군 설악면 선촌리 368-4번지알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-315.01321918304<NA>1246637.677788127.483704
2가평군삼화페인트가평공사경기도 가평군 가평읍 달전로 49경기도 가평군 가평읍 달전리 338-1번지알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-315.01320927482<NA>1242237.814537127.518667
3가평군삼화페인트칠칠공사경기도 가평군 조종면 현창로 73-1경기도 가평군 조종면 현리 322-4번지알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-315.01321012495<NA>1243737.820486127.34586
4가평군주식회사청명경기도 가평군 북면 화악산로124번길 11경기도 가평군 북면 목동리 699-33번지 주식회사청명알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-31230.01228645183<NA>1240337.893272127.558539
5고양시(주)경신상사경기도 고양시 일산동구 정발산로 33경기도 고양시 일산동구 장항동 856-3번지 낙원프라자 802호알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-3113.01048118344<NA>1040237.657168126.772559
6고양시(주)기성씨앤씨경기도 고양시 일산동구 호수로 662경기도 고양시 일산동구 장항동 751번지 삼성라끄빌 809호알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-31970.01168152398<NA>1040137.660759126.76588
7고양시(주)다온소재경기도 고양시 일산동구 호수로 662경기도 고양시 일산동구 장항동 751번지 삼성라끄빌 1429호알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-3115221.01288668656<NA>1040137.660759126.76588
8고양시(주)대성케미칼경기도 고양시 일산서구 덕산로 278-20경기도 고양시 일산서구 덕이동 1265번지 나동 나동알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-3170.01288675142<NA>1021237.695016126.733102
9고양시(주)더피유경기도 고양시 일산동구 중앙로 1341경기도 고양시 일산동구 장항동 727-2번지 청원레이크빌2차 1008호알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-31500.01288715103<NA>1036637.664649126.768336
시군명업체명소재지도로명주소소재지지번주소업종명산업단지유형산업단지명대기배출시설규모수질배출시설규모유독물질취급여부제한물질취급여부금지물질취급여부사고대비물질취급여부2016년이후화학사고발생여부2016년이후최근화학사고발생일자화학사고발생여부기준일자연간취급량상한선사업자등록번호전화번호우편번호WGS84위도WGS84경도
5459화성시화성시청(화성동탄2크린에너지센터)경기도 화성시 동탄대로9길 76경기도 화성시 송동 681-244번지사용업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-31268.01248301744<NA>1848837.175227127.097349
5460화성시화성시환경사업소(팔탄매립장침출수처리시설)<NA>경기도 화성시 팔탄면 고주리125-1사용업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-3111.01118301563<NA>1857737.134528126.879165
5461화성시화성엘티(주)경기도 화성시 장안면 장안로227번길 134-6경기도 화성시 장안면 수촌리 1028-72번지보관저장업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-317584.31248635094<NA>1858137.093152126.847841
5462화성시화성페인트경기도 화성시 효행로 1363경기도 화성시 반월동 342번지 1층알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-3112.81353283050<NA>1838437.229213127.064619
5463화성시화성페인트상사<NA>경기도 화성시 향남읍 평리119-3알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-3110.91243029839<NA>1859337.130806126.90771
5464화성시화일약품㈜경기도 화성시 향남읍 제약공단3길 57경기도 화성시 향남읍 상신리 904-7번지알선판매업<NA><NA><NA><NA><NA><NA><NA><NA>Y2023-06-232023-12-3170.01248127624<NA>1862237.092062126.901086
5465화성시효동켐이엔지㈜경기도 화성시 팔탄면 삼암길 42-36경기도 화성시 팔탄면 해창리 186-1번지판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-311505.01228192279<NA>1858237.106343126.873659
5466화성시휴먼시스템경기도 화성시 봉담읍 시청로 1502-24경기도 화성시 봉담읍 마하리 351-10번지알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-311000.01430123423<NA>1833537.175313126.94283
5467화성시희원켐경기도 화성시 장안면 금의솔안길 43-7경기도 화성시 장안면 수촌리 876-1번지알선판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-319660.08893401144<NA>1858137.105279126.841188
5468화성시희은금속경기도 화성시 향남읍 발안공단로4길 114경기도 화성시 향남읍 구문천리 930-13번지사용업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-314.21340235223<NA>1862337.08422126.897581