Overview

Dataset statistics

Number of variables27
Number of observations116
Missing cells1191
Missing cells (%)38.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.3 KiB
Average record size in memory232.1 B

Variable types

Categorical6
Text7
DateTime2
Numeric5
Unsupported7

Dataset

Description가축분뇨배출시설관리업(사업장)_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=U62NU4OXS4ILZVJSJW7K28016682&infSeq=1

Alerts

환경업무구분명 has constant value ""Constant
휴업종료일자 is highly imbalanced (92.8%)Imbalance
도로명주소 has 5 (4.3%) missing valuesMissing
우편번호 has 6 (5.2%) missing valuesMissing
전화번호 has 23 (19.8%) missing valuesMissing
WGS84위도 has 5 (4.3%) missing valuesMissing
WGS84경도 has 5 (4.3%) missing valuesMissing
인허가취소일자 has 116 (100.0%) missing valuesMissing
폐업일자 has 55 (47.4%) missing valuesMissing
휴업시작일자 has 112 (96.6%) missing valuesMissing
재개업일자 has 116 (100.0%) missing valuesMissing
소재지면적 has 116 (100.0%) missing valuesMissing
업태구분명 has 82 (70.7%) missing valuesMissing
X좌표값 has 2 (1.7%) missing valuesMissing
Y좌표값 has 2 (1.7%) missing valuesMissing
업종구분명 has 82 (70.7%) missing valuesMissing
종별명 has 116 (100.0%) missing valuesMissing
주생산품명 has 116 (100.0%) missing valuesMissing
배출시설조업시간 has 116 (100.0%) missing valuesMissing
방지시설조업시간 has 116 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:01:20.657123
Analysis finished2023-12-10 23:01:21.199361
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct26
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
성남시
13 
양평군
10 
의정부시
9 
화성시
8 
포천시
8 
Other values (21)
68 

Length

Max length4
Median length3
Mean length3.112069
Min length3

Unique

Unique5 ?
Unique (%)4.3%

Sample

1st row고양시
2nd row고양시
3rd row고양시
4th row고양시
5th row과천시

Common Values

ValueCountFrequency (%)
성남시 13
 
11.2%
양평군 10
 
8.6%
의정부시 9
 
7.8%
화성시 8
 
6.9%
포천시 8
 
6.9%
이천시 8
 
6.9%
안양시 7
 
6.0%
부천시 7
 
6.0%
용인시 7
 
6.0%
오산시 4
 
3.4%
Other values (16) 35
30.2%

Length

2023-12-11T08:01:21.298263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 13
 
11.2%
양평군 10
 
8.6%
의정부시 9
 
7.8%
화성시 8
 
6.9%
포천시 8
 
6.9%
이천시 8
 
6.9%
안양시 7
 
6.0%
부천시 7
 
6.0%
용인시 7
 
6.0%
오산시 4
 
3.4%
Other values (16) 35
30.2%

사업장명
Text

Distinct95
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T08:01:21.495008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.5862069
Min length4

Characters and Unicode

Total characters996
Distinct characters150
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)66.4%

Sample

1st row(주)동진씨앤지
2nd row(주)새롬환경기술
3rd row(주)새롬환경기술
4th row(주)케이디이엔지
5th row(주)삼안
ValueCountFrequency (%)
주식회사 11
 
8.5%
주)환경에너지오앤엠 3
 
2.3%
㈜바이오워터 3
 
2.3%
주)지이환경 3
 
2.3%
주)에코비트워터 2
 
1.6%
주)레인솔루션 2
 
1.6%
주)한국종합기술 2
 
1.6%
바이오립스 2
 
1.6%
주)티에스케이코퍼레이션 2
 
1.6%
주)선일이엔씨 2
 
1.6%
Other values (88) 97
75.2%
2023-12-11T08:01:21.809282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 102
 
10.2%
( 86
 
8.6%
) 86
 
8.6%
경 40
 
4.0%
환 37
 
3.7%
이 35
 
3.5%
에 25
 
2.5%
지 22
 
2.2%
사 21
 
2.1%
스 20
 
2.0%
Other values (140) 522
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 800
80.3%
Open Punctuation 86
 
8.6%
Close Punctuation 86
 
8.6%
Space Separator 13
 
1.3%
Other Symbol 6
 
0.6%
Uppercase Letter 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 102
 
12.8%
경 40
 
5.0%
환 37
 
4.6%
이 35
 
4.4%
에 25
 
3.1%
지 22
 
2.8%
사 21
 
2.6%
스 20
 
2.5%
엔 19
 
2.4%
코 17
 
2.1%
Other values (131) 462
57.8%
Uppercase Letter
ValueCountFrequency (%)
N 1
20.0%
V 1
20.0%
E 1
20.0%
B 1
20.0%
K 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 806
80.9%
Common 185
 
18.6%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 102
 
12.7%
경 40
 
5.0%
환 37
 
4.6%
이 35
 
4.3%
에 25
 
3.1%
지 22
 
2.7%
사 21
 
2.6%
스 20
 
2.5%
엔 19
 
2.4%
코 17
 
2.1%
Other values (132) 468
58.1%
Latin
ValueCountFrequency (%)
N 1
20.0%
V 1
20.0%
E 1
20.0%
B 1
20.0%
K 1
20.0%
Common
ValueCountFrequency (%)
( 86
46.5%
) 86
46.5%
13
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 800
80.3%
ASCII 190
 
19.1%
None 6
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 102
 
12.8%
경 40
 
5.0%
환 37
 
4.6%
이 35
 
4.4%
에 25
 
3.1%
지 22
 
2.8%
사 21
 
2.6%
스 20
 
2.5%
엔 19
 
2.4%
코 17
 
2.1%
Other values (131) 462
57.8%
ASCII
ValueCountFrequency (%)
( 86
45.3%
) 86
45.3%
13
 
6.8%
N 1
 
0.5%
V 1
 
0.5%
E 1
 
0.5%
B 1
 
0.5%
K 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 6
100.0%

영업상태
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
61 
영업
51 
휴업
 
3
폐쇄
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row폐업
2nd row영업
3rd row영업
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
폐업 61
52.6%
영업 51
44.0%
휴업 3
 
2.6%
폐쇄 1
 
0.9%

Length

2023-12-11T08:01:21.925977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:01:22.006082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 61
52.6%
영업 51
44.0%
휴업 3
 
2.6%
폐쇄 1
 
0.9%

인허가일자
Date

Distinct107
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1999-10-11 00:00:00
Maximum2023-06-08 00:00:00
2023-12-11T08:01:22.098312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:22.216981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Text

MISSING 

Distinct102
Distinct (%)91.9%
Missing5
Missing (%)4.3%
Memory size1.0 KiB
2023-12-11T08:01:22.458859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length30.612613
Min length18

Characters and Unicode

Total characters3398
Distinct characters237
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)84.7%

Sample

1st row경기도 고양시 일산동구 중앙로 1048, 일산르메이에르프라자 614호 (백석동)
2nd row경기도 고양시 일산동구 일산로 138 (백석동, 일산테크노타운)
3rd row경기도 고양시 일산동구 일산로 138, 일산테크노타운 관리동 504호 (백석동)
4th row경기도 고양시 일산서구 덕이로 30-28, 2층 제3에이치-202호 (덕이동)
5th row경기도 과천시 별양상가3로 5 (별양동)
ValueCountFrequency (%)
경기도 110
 
15.3%
성남시 13
 
1.8%
분당구 9
 
1.3%
포천시 8
 
1.1%
화성시 8
 
1.1%
양평군 8
 
1.1%
이천시 7
 
1.0%
2층 7
 
1.0%
부천시 7
 
1.0%
안양시 7
 
1.0%
Other values (368) 535
74.4%
2023-12-11T08:01:22.865852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
618
 
18.2%
동 122
 
3.6%
기 118
 
3.5%
경 116
 
3.4%
도 115
 
3.4%
시 111
 
3.3%
1 111
 
3.3%
로 110
 
3.2%
) 93
 
2.7%
( 93
 
2.7%
Other values (227) 1791
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1937
57.0%
Space Separator 618
 
18.2%
Decimal Number 538
 
15.8%
Close Punctuation 93
 
2.7%
Open Punctuation 93
 
2.7%
Other Punctuation 84
 
2.5%
Dash Punctuation 20
 
0.6%
Lowercase Letter 8
 
0.2%
Uppercase Letter 6
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 122
 
6.3%
기 118
 
6.1%
경 116
 
6.0%
도 115
 
5.9%
시 111
 
5.7%
로 110
 
5.7%
양 43
 
2.2%
호 42
 
2.2%
구 41
 
2.1%
천 35
 
1.8%
Other values (199) 1084
56.0%
Decimal Number
ValueCountFrequency (%)
1 111
20.6%
2 92
17.1%
0 65
12.1%
4 49
9.1%
6 45
8.4%
5 44
 
8.2%
3 44
 
8.2%
8 39
 
7.2%
7 28
 
5.2%
9 21
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
s 2
25.0%
n 1
12.5%
c 1
12.5%
t 1
12.5%
r 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
V 1
16.7%
K 1
16.7%
S 1
16.7%
A 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 69
82.1%
* 15
 
17.9%
Space Separator
ValueCountFrequency (%)
618
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1937
57.0%
Common 1447
42.6%
Latin 14
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 122
 
6.3%
기 118
 
6.1%
경 116
 
6.0%
도 115
 
5.9%
시 111
 
5.7%
로 110
 
5.7%
양 43
 
2.2%
호 42
 
2.2%
구 41
 
2.1%
천 35
 
1.8%
Other values (199) 1084
56.0%
Common
ValueCountFrequency (%)
618
42.7%
1 111
 
7.7%
) 93
 
6.4%
( 93
 
6.4%
2 92
 
6.4%
, 69
 
4.8%
0 65
 
4.5%
4 49
 
3.4%
6 45
 
3.1%
5 44
 
3.0%
Other values (7) 168
 
11.6%
Latin
ValueCountFrequency (%)
B 2
14.3%
e 2
14.3%
s 2
14.3%
n 1
7.1%
c 1
7.1%
V 1
7.1%
K 1
7.1%
S 1
7.1%
t 1
7.1%
r 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1937
57.0%
ASCII 1461
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
618
42.3%
1 111
 
7.6%
) 93
 
6.4%
( 93
 
6.4%
2 92
 
6.3%
, 69
 
4.7%
0 65
 
4.4%
4 49
 
3.4%
6 45
 
3.1%
5 44
 
3.0%
Other values (18) 182
 
12.5%
Hangul
ValueCountFrequency (%)
동 122
 
6.3%
기 118
 
6.1%
경 116
 
6.0%
도 115
 
5.9%
시 111
 
5.7%
로 110
 
5.7%
양 43
 
2.2%
호 42
 
2.2%
구 41
 
2.1%
천 35
 
1.8%
Other values (199) 1084
56.0%

지번주소
Text

Distinct108
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T08:01:23.149885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length25.051724
Min length15

Characters and Unicode

Total characters2906
Distinct characters202
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

Unique100 ?
Unique (%)86.2%

Sample

1st row경기도 고양시 일산동구 백석동 1297-2번지 일산르메이에르프라자
2nd row경기도 고양시 일산동구 백석동 1141-1번지
3rd row경기도 고양시 일산동구 백석동 1141-1 일산테크노타운 관리동 504호
4th row경기도 고양시 일산서구 덕이동 249-8 2층 제3에이치-202호
5th row경기도 과천시 별양동 1-20
ValueCountFrequency (%)
경기도 115
 
18.4%
성남시 13
 
2.1%
양평군 10
 
1.6%
의정부시 9
 
1.4%
분당구 9
 
1.4%
화성시 8
 
1.3%
이천시 8
 
1.3%
포천시 8
 
1.3%
안양시 7
 
1.1%
부천시 7
 
1.1%
Other values (306) 431
69.0%
2023-12-11T08:01:23.622735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
572
19.7%
1 134
 
4.6%
기 120
 
4.1%
경 118
 
4.1%
도 118
 
4.1%
동 112
 
3.9%
시 109
 
3.8%
- 92
 
3.2%
2 69
 
2.4%
지 62
 
2.1%
Other values (192) 1400
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1675
57.6%
Space Separator 572
 
19.7%
Decimal Number 528
 
18.2%
Dash Punctuation 92
 
3.2%
Other Punctuation 23
 
0.8%
Lowercase Letter 6
 
0.2%
Uppercase Letter 6
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 120
 
7.2%
경 118
 
7.0%
도 118
 
7.0%
동 112
 
6.7%
시 109
 
6.5%
지 62
 
3.7%
번 58
 
3.5%
양 44
 
2.6%
구 41
 
2.4%
리 34
 
2.0%
Other values (167) 859
51.3%
Decimal Number
ValueCountFrequency (%)
1 134
25.4%
2 69
13.1%
3 52
 
9.8%
5 51
 
9.7%
0 49
 
9.3%
4 47
 
8.9%
7 42
 
8.0%
6 34
 
6.4%
8 27
 
5.1%
9 23
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 1
16.7%
n 1
16.7%
c 1
16.7%
t 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
V 1
16.7%
K 1
16.7%
S 1
16.7%
A 1
16.7%
Space Separator
ValueCountFrequency (%)
572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Other Punctuation
ValueCountFrequency (%)
* 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1675
57.6%
Common 1219
41.9%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 120
 
7.2%
경 118
 
7.0%
도 118
 
7.0%
동 112
 
6.7%
시 109
 
6.5%
지 62
 
3.7%
번 58
 
3.5%
양 44
 
2.6%
구 41
 
2.4%
리 34
 
2.0%
Other values (167) 859
51.3%
Common
ValueCountFrequency (%)
572
46.9%
1 134
 
11.0%
- 92
 
7.5%
2 69
 
5.7%
3 52
 
4.3%
5 51
 
4.2%
0 49
 
4.0%
4 47
 
3.9%
7 42
 
3.4%
6 34
 
2.8%
Other values (5) 77
 
6.3%
Latin
ValueCountFrequency (%)
e 2
16.7%
B 2
16.7%
r 1
8.3%
n 1
8.3%
c 1
8.3%
V 1
8.3%
K 1
8.3%
S 1
8.3%
t 1
8.3%
A 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1675
57.6%
ASCII 1231
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
572
46.5%
1 134
 
10.9%
- 92
 
7.5%
2 69
 
5.6%
3 52
 
4.2%
5 51
 
4.1%
0 49
 
4.0%
4 47
 
3.8%
7 42
 
3.4%
6 34
 
2.8%
Other values (15) 89
 
7.2%
Hangul
ValueCountFrequency (%)
기 120
 
7.2%
경 118
 
7.0%
도 118
 
7.0%
동 112
 
6.7%
시 109
 
6.5%
지 62
 
3.7%
번 58
 
3.5%
양 44
 
2.6%
구 41
 
2.4%
리 34
 
2.0%
Other values (167) 859
51.3%

우편번호
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)81.8%
Missing6
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean14065
Minimum3345
Maximum18589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:01:23.743247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3345
5-th percentile10887.9
Q111791.5
median13595
Q317005.5
95-th percentile18314.15
Maximum18589
Range15244
Interquartile range (IQR)5214

Descriptive statistics

Standard deviation2750.0098
Coefficient of variation (CV)0.19552149
Kurtosis0.58560466
Mean14065
Median Absolute Deviation (MAD)1941
Skewness-0.15280335
Sum1547150
Variance7562553.8
MonotonicityNot monotonic
2023-12-11T08:01:23.864206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11189 3
 
2.6%
13494 3
 
2.6%
13595 2
 
1.7%
18144 2
 
1.7%
18148 2
 
1.7%
10442 2
 
1.7%
11670 2
 
1.7%
12559 2
 
1.7%
12571 2
 
1.7%
14057 2
 
1.7%
Other values (80) 88
75.9%
(Missing) 6
 
5.2%
ValueCountFrequency (%)
3345 1
0.9%
10237 1
0.9%
10442 2
1.7%
10447 1
0.9%
10860 1
0.9%
10922 1
0.9%
11037 1
0.9%
11149 1
0.9%
11154 1
0.9%
11159 2
1.7%
ValueCountFrequency (%)
18589 1
0.9%
18583 1
0.9%
18468 1
0.9%
18459 1
0.9%
18392 1
0.9%
18347 1
0.9%
18274 2
1.7%
18148 2
1.7%
18144 2
1.7%
17970 1
0.9%

전화번호
Text

MISSING 

Distinct83
Distinct (%)89.2%
Missing23
Missing (%)19.8%
Memory size1.0 KiB
2023-12-11T08:01:24.092560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.849462
Min length7

Characters and Unicode

Total characters1009
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)79.6%

Sample

1st row907-2982
2nd row031-938-0641
3rd row031-938-0641
4th row031-360-3402
5th row0234242887
ValueCountFrequency (%)
0269018358 3
 
3.1%
02-453-6405 2
 
2.1%
031-8040-2942 2
 
2.1%
0317744474 2
 
2.1%
031-938-0641 2
 
2.1%
0313749602 2
 
2.1%
031-336-0053 2
 
2.1%
02-6901-8200 2
 
2.1%
224-4127 2
 
2.1%
031-633-3636 1
 
1.0%
Other values (76) 76
79.2%
2023-12-11T08:01:24.435641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
17.3%
3 144
14.3%
1 119
11.8%
- 101
10.0%
2 94
9.3%
4 74
7.3%
7 74
7.3%
5 66
 
6.5%
8 64
 
6.3%
6 57
 
5.6%
Other values (2) 41
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 905
89.7%
Dash Punctuation 101
 
10.0%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
19.3%
3 144
15.9%
1 119
13.1%
2 94
10.4%
4 74
8.2%
7 74
8.2%
5 66
 
7.3%
8 64
 
7.1%
6 57
 
6.3%
9 38
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
17.3%
3 144
14.3%
1 119
11.8%
- 101
10.0%
2 94
9.3%
4 74
7.3%
7 74
7.3%
5 66
 
6.5%
8 64
 
6.3%
6 57
 
5.6%
Other values (2) 41
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
17.3%
3 144
14.3%
1 119
11.8%
- 101
10.0%
2 94
9.3%
4 74
7.3%
7 74
7.3%
5 66
 
6.5%
8 64
 
6.3%
6 57
 
5.6%
Other values (2) 41
 
4.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)91.0%
Missing5
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean37.454043
Minimum36.93609
Maximum38.020235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:01:24.562808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.93609
5-th percentile37.103163
Q137.275015
median37.41413
Q337.650471
95-th percentile37.831014
Maximum38.020235
Range1.0841454
Interquartile range (IQR)0.37545509

Descriptive statistics

Standard deviation0.23452512
Coefficient of variation (CV)0.0062616772
Kurtosis-0.68303943
Mean37.454043
Median Absolute Deviation (MAD)0.16035417
Skewness0.1981944
Sum4157.3987
Variance0.055002034
MonotonicityNot monotonic
2023-12-11T08:01:24.689069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1938288078 2
 
1.7%
37.7975965 2
 
1.7%
37.3970227 2
 
1.7%
37.7407891 2
 
1.7%
37.4013668 2
 
1.7%
37.4971375 2
 
1.7%
37.1897756 2
 
1.7%
37.4141297621 2
 
1.7%
37.3310387027 2
 
1.7%
37.873806699 2
 
1.7%
Other values (91) 91
78.4%
(Missing) 5
 
4.3%
ValueCountFrequency (%)
36.9360896547 1
0.9%
37.0043583 1
0.9%
37.0179087 1
0.9%
37.0683122095 1
0.9%
37.0708074572 1
0.9%
37.072151 1
0.9%
37.1341746664 1
0.9%
37.1370985929 1
0.9%
37.137977 1
0.9%
37.1522113504 1
0.9%
ValueCountFrequency (%)
38.0202350227 1
0.9%
37.8906258874 1
0.9%
37.8810252 1
0.9%
37.873806699 2
1.7%
37.8427044805 1
0.9%
37.8193240518 1
0.9%
37.8064712023 1
0.9%
37.7975965 2
1.7%
37.7974513173 1
0.9%
37.7850139366 1
0.9%

WGS84경도
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)91.0%
Missing5
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean127.11372
Minimum126.72096
Maximum127.63752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:01:24.880222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.72096
5-th percentile126.77254
Q1126.97689
median127.09815
Q3127.20908
95-th percentile127.50736
Maximum127.63752
Range0.91656281
Interquartile range (IQR)0.23218654

Descriptive statistics

Standard deviation0.22810791
Coefficient of variation (CV)0.0017945183
Kurtosis-0.38097768
Mean127.11372
Median Absolute Deviation (MAD)0.11898035
Skewness0.35306079
Sum14109.623
Variance0.052033217
MonotonicityNot monotonic
2023-12-11T08:01:24.998379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8476749434 2
 
1.7%
127.2400784 2
 
1.7%
126.9746148 2
 
1.7%
127.0433166 2
 
1.7%
127.1086047 2
 
1.7%
127.4570134 2
 
1.7%
127.2076769 2
 
1.7%
126.9791704423 2
 
1.7%
126.7335440083 2
 
1.7%
127.1575578525 2
 
1.7%
Other values (91) 91
78.4%
(Missing) 5
 
4.3%
ValueCountFrequency (%)
126.7209607915 1
0.9%
126.7335440083 2
1.7%
126.7574659164 1
0.9%
126.7584471 1
0.9%
126.7707765 1
0.9%
126.7742949 1
0.9%
126.7754427 1
0.9%
126.7782563432 1
0.9%
126.7784702 1
0.9%
126.7798688782 1
0.9%
ValueCountFrequency (%)
127.6375236 1
0.9%
127.6298276855 1
0.9%
127.5924957 1
0.9%
127.5429048935 1
0.9%
127.5205427507 1
0.9%
127.5082508 1
0.9%
127.5064722 1
0.9%
127.4981433 1
0.9%
127.4979274 1
0.9%
127.4946111144 1
0.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

폐업일자
Text

MISSING 

Distinct53
Distinct (%)86.9%
Missing55
Missing (%)47.4%
Memory size1.0 KiB
2023-12-11T08:01:25.200675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0983607
Min length8

Characters and Unicode

Total characters494
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

Unique45 ?
Unique (%)73.8%

Sample

1st row20190910
2nd row20210527
3rd row20190919
4th row20061208
5th row20120514
ValueCountFrequency (%)
20120514 2
 
3.3%
20081224 2
 
3.3%
20190514 2
 
3.3%
20161111 2
 
3.3%
20190116 2
 
3.3%
20140123 2
 
3.3%
20220726 2
 
3.3%
20190625 2
 
3.3%
20121226 1
 
1.6%
20080326 1
 
1.6%
Other values (43) 43
70.5%
2023-12-11T08:01:25.561630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 133
26.9%
2 120
24.3%
1 113
22.9%
8 23
 
4.7%
9 22
 
4.5%
6 22
 
4.5%
3 19
 
3.8%
5 14
 
2.8%
4 12
 
2.4%
7 10
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 488
98.8%
Dash Punctuation 6
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 133
27.3%
2 120
24.6%
1 113
23.2%
8 23
 
4.7%
9 22
 
4.5%
6 22
 
4.5%
3 19
 
3.9%
5 14
 
2.9%
4 12
 
2.5%
7 10
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 494
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 133
26.9%
2 120
24.3%
1 113
22.9%
8 23
 
4.7%
9 22
 
4.5%
6 22
 
4.5%
3 19
 
3.8%
5 14
 
2.8%
4 12
 
2.4%
7 10
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 133
26.9%
2 120
24.3%
1 113
22.9%
8 23
 
4.7%
9 22
 
4.5%
6 22
 
4.5%
3 19
 
3.8%
5 14
 
2.8%
4 12
 
2.4%
7 10
 
2.0%

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing112
Missing (%)96.6%
Memory size1.0 KiB
Minimum2005-06-15 00:00:00
Maximum2023-04-04 00:00:00
2023-12-11T08:01:25.683694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:01:25.767122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
20051215
 
1

Length

Max length8
Median length4
Mean length4.0344828
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
99.1%
20051215 1
 
0.9%

Length

2023-12-11T08:01:26.109346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:01:26.218869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
99.1%
20051215 1
 
0.9%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

업태구분명
Text

MISSING 

Distinct19
Distinct (%)55.9%
Missing82
Missing (%)70.7%
Memory size1.0 KiB
2023-12-11T08:01:26.360575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length13.441176
Min length6

Characters and Unicode

Total characters457
Distinct characters58
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

Unique12 ?
Unique (%)35.3%

Sample

1st row환경컨설팅 및 관련 엔지니어링 서비스업
2nd row건물 및 토목엔지니어링 서비스업
3rd row건물 및 토목 엔지니어링 서비스업
4th row건축기술, 엔지니어링 및 관련기술 서비스업
5th row전문직별 공사업
ValueCountFrequency (%)
및 19
15.2%
서비스업 13
 
10.4%
처리업 11
 
8.8%
엔지니어링 9
 
7.2%
분뇨 8
 
6.4%
관련 7
 
5.6%
건설업 6
 
4.8%
종합 5
 
4.0%
하수 5
 
4.0%
축산분뇨 5
 
4.0%
Other values (23) 37
29.6%
2023-12-11T08:01:26.710182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
19.9%
업 34
 
7.4%
및 19
 
4.2%
처 15
 
3.3%
리 15
 
3.3%
비 15
 
3.3%
뇨 13
 
2.8%
분 13
 
2.8%
스 13
 
2.8%
서 13
 
2.8%
Other values (48) 216
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
78.6%
Space Separator 91
 
19.9%
Other Punctuation 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 34
 
9.5%
및 19
 
5.3%
처 15
 
4.2%
리 15
 
4.2%
비 15
 
4.2%
뇨 13
 
3.6%
분 13
 
3.6%
스 13
 
3.6%
서 13
 
3.6%
수 11
 
3.1%
Other values (46) 198
55.2%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
78.6%
Common 98
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 34
 
9.5%
및 19
 
5.3%
처 15
 
4.2%
리 15
 
4.2%
비 15
 
4.2%
뇨 13
 
3.6%
분 13
 
3.6%
스 13
 
3.6%
서 13
 
3.6%
수 11
 
3.1%
Other values (46) 198
55.2%
Common
ValueCountFrequency (%)
91
92.9%
, 7
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
78.6%
ASCII 98
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
92.9%
, 7
 
7.1%
Hangul
ValueCountFrequency (%)
업 34
 
9.5%
및 19
 
5.3%
처 15
 
4.2%
리 15
 
4.2%
비 15
 
4.2%
뇨 13
 
3.6%
분 13
 
3.6%
스 13
 
3.6%
서 13
 
3.6%
수 11
 
3.1%
Other values (46) 198
55.2%

X좌표값
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)86.8%
Missing2
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean209425.07
Minimum175353.63
Maximum256588.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:01:26.861162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175353.63
5-th percentile179867.51
Q1197692.01
median207843.66
Q3218350.93
95-th percentile244781.71
Maximum256588.03
Range81234.399
Interquartile range (IQR)20658.915

Descriptive statistics

Standard deviation20028.309
Coefficient of variation (CV)0.095634727
Kurtosis-0.30785059
Mean209425.07
Median Absolute Deviation (MAD)10400.165
Skewness0.42803619
Sum23874458
Variance4.0113317 × 108
MonotonicityNot monotonic
2023-12-11T08:01:27.034609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209549.874547889 3
 
2.6%
221081.207377256 3
 
2.6%
186405.827949734 2
 
1.7%
197692.013195996 2
 
1.7%
203753.831931879 2
 
1.7%
176326.365355399 2
 
1.7%
180347.279949304 2
 
1.7%
240347.835062442 2
 
1.7%
202507.288585223 2
 
1.7%
218374.184856 2
 
1.7%
Other values (89) 92
79.3%
ValueCountFrequency (%)
175353.627052256 1
0.9%
176326.365355399 2
1.7%
178519.214720062 1
0.9%
178538.286614895 1
0.9%
179664.656828867 1
0.9%
179976.743393036 1
0.9%
180077.588768644 1
0.9%
180347.279949304 2
1.7%
180469.257875138 1
0.9%
180645.332434837 1
0.9%
ValueCountFrequency (%)
256588.02573 1
0.9%
255794.578025454 1
0.9%
252335.659722563 1
0.9%
247934.608032152 1
0.9%
246120.04937413 1
0.9%
244884.343018596 1
0.9%
244726.452610433 1
0.9%
243986.841042303 1
0.9%
243971.165 1
0.9%
243882.337611165 1
0.9%

Y좌표값
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)86.8%
Missing2
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean438702.68
Minimum381622.79
Maximum501941.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T08:01:27.206676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381622.79
5-th percentile403820.2
Q1419630.46
median434558.32
Q3459493.23
95-th percentile480549.9
Maximum501941.81
Range120319.01
Interquartile range (IQR)39862.766

Descriptive statistics

Standard deviation25262.276
Coefficient of variation (CV)0.057584047
Kurtosis-0.59372898
Mean438702.68
Median Absolute Deviation (MAD)16159.466
Skewness0.30007547
Sum50012106
Variance6.3818258 × 108
MonotonicityNot monotonic
2023-12-11T08:01:27.356835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
433248.085400252 3
 
2.6%
477263.362895407 3
 
2.6%
410226.280292929 2
 
1.7%
432777.290386193 2
 
1.7%
470933.134735754 2
 
1.7%
425463.57662942 2
 
1.7%
445488.95615221 2
 
1.7%
443985.536412925 2
 
1.7%
416872.080921272 2
 
1.7%
409796.622691 2
 
1.7%
Other values (89) 92
79.3%
ValueCountFrequency (%)
381622.793221422 1
0.9%
390740.374601402 1
0.9%
396378.965229626 1
0.9%
396565.818686957 1
0.9%
396733.838901503 1
0.9%
403601.0 1
0.9%
403938.228757143 1
0.9%
404029.965696398 1
0.9%
405606.589393237 2
1.7%
409796.622691 2
1.7%
ValueCountFrequency (%)
501941.807904491 1
 
0.9%
487572.937049565 1
 
0.9%
486518.080896919 1
 
0.9%
485365.536453517 1
 
0.9%
485365.519073218 1
 
0.9%
482237.727296796 1
 
0.9%
479641.074554364 1
 
0.9%
478221.149414111 1
 
0.9%
477263.362895407 3
2.6%
475833.468378443 1
 
0.9%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
분뇨등관련영업관리
116 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등관련영업관리 116
100.0%

Length

2023-12-11T08:01:27.498740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:01:27.580954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등관련영업관리 116
100.0%

업종구분명
Text

MISSING 

Distinct19
Distinct (%)55.9%
Missing82
Missing (%)70.7%
Memory size1.0 KiB
2023-12-11T08:01:27.749991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length13.441176
Min length6

Characters and Unicode

Total characters457
Distinct characters58
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

Unique12 ?
Unique (%)35.3%

Sample

1st row환경컨설팅 및 관련 엔지니어링 서비스업
2nd row건물 및 토목엔지니어링 서비스업
3rd row건물 및 토목 엔지니어링 서비스업
4th row건축기술, 엔지니어링 및 관련기술 서비스업
5th row전문직별 공사업
ValueCountFrequency (%)
및 19
15.2%
서비스업 13
 
10.4%
처리업 11
 
8.8%
엔지니어링 9
 
7.2%
분뇨 8
 
6.4%
관련 7
 
5.6%
건설업 6
 
4.8%
종합 5
 
4.0%
하수 5
 
4.0%
축산분뇨 5
 
4.0%
Other values (23) 37
29.6%
2023-12-11T08:01:28.066174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
19.9%
업 34
 
7.4%
및 19
 
4.2%
처 15
 
3.3%
리 15
 
3.3%
비 15
 
3.3%
뇨 13
 
2.8%
분 13
 
2.8%
스 13
 
2.8%
서 13
 
2.8%
Other values (48) 216
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
78.6%
Space Separator 91
 
19.9%
Other Punctuation 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 34
 
9.5%
및 19
 
5.3%
처 15
 
4.2%
리 15
 
4.2%
비 15
 
4.2%
뇨 13
 
3.6%
분 13
 
3.6%
스 13
 
3.6%
서 13
 
3.6%
수 11
 
3.1%
Other values (46) 198
55.2%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
78.6%
Common 98
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 34
 
9.5%
및 19
 
5.3%
처 15
 
4.2%
리 15
 
4.2%
비 15
 
4.2%
뇨 13
 
3.6%
분 13
 
3.6%
스 13
 
3.6%
서 13
 
3.6%
수 11
 
3.1%
Other values (46) 198
55.2%
Common
ValueCountFrequency (%)
91
92.9%
, 7
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
78.6%
ASCII 98
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
92.9%
, 7
 
7.1%
Hangul
ValueCountFrequency (%)
업 34
 
9.5%
및 19
 
5.3%
처 15
 
4.2%
리 15
 
4.2%
비 15
 
4.2%
뇨 13
 
3.6%
분 13
 
3.6%
스 13
 
3.6%
서 13
 
3.6%
수 11
 
3.1%
Other values (46) 198
55.2%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

배출시설연간가동일수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
67 
0
49 

Length

Max length4
Median length4
Mean length2.7327586
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 67
57.8%
0 49
42.2%

Length

2023-12-11T08:01:28.260522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:01:28.383740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
57.8%
0 49
42.2%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

방지시설연간가동일수
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
67 
0
49 

Length

Max length4
Median length4
Mean length2.7327586
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 67
57.8%
0 49
42.2%

Length

2023-12-11T08:01:28.491270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:01:28.587015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
57.8%
0 49
42.2%

Sample

시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0고양시(주)동진씨앤지폐업20190215경기도 고양시 일산동구 중앙로 1048, 일산르메이에르프라자 614호 (백석동)경기도 고양시 일산동구 백석동 1297-2번지 일산르메이에르프라자10447907-298237.643575126.787817<NA>20190910<NA><NA><NA><NA>환경컨설팅 및 관련 엔지니어링 서비스업181208.405917460164.302427분뇨등관련영업관리환경컨설팅 및 관련 엔지니어링 서비스업<NA><NA><NA><NA><NA><NA>
1고양시(주)새롬환경기술영업20031021경기도 고양시 일산동구 일산로 138 (백석동, 일산테크노타운)경기도 고양시 일산동구 백석동 1141-1번지10442031-938-064137.650156126.794903<NA><NA><NA><NA><NA><NA><NA>181835.358339460894.742344분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
2고양시(주)새롬환경기술영업2003-10-21경기도 고양시 일산동구 일산로 138, 일산테크노타운 관리동 504호 (백석동)경기도 고양시 일산동구 백석동 1141-1 일산테크노타운 관리동 504호10442031-938-064137.650785126.794625<NA><NA><NA><NA><NA><NA><NA>181835.358339460894.742344분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
3고양시(주)케이디이엔지영업2022-12-27경기도 고양시 일산서구 덕이로 30-28, 2층 제3에이치-202호 (덕이동)경기도 고양시 일산서구 덕이동 249-8 2층 제3에이치-202호10237031-360-340237.690513126.757466<NA><NA><NA><NA><NA><NA>건물 및 토목엔지니어링 서비스업178538.286615465372.877637분뇨등관련영업관리건물 및 토목엔지니어링 서비스업<NA><NA><NA>0<NA>0
4과천시(주)삼안영업2018-02-26경기도 과천시 별양상가3로 5 (별양동)경기도 과천시 별양동 1-2013837023424288737.426657126.991143<NA><NA><NA><NA><NA><NA><NA>199145.725436058.45분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
5과천시(주)선진엔지니어링종합건축사사무소영업2023-04-19경기도 과천시 과천대로7길 20, 과천 스마트케이 업무시설 B동 5~6층 (갈현동)경기도 과천시 갈현동 427-1 과천 스마트케이 업무시설1384002-6333-304537.41413126.97917<NA><NA><NA><NA><NA><NA>건물 및 토목 엔지니어링 서비스업198049.964401434683.369864분뇨등관련영업관리건물 및 토목 엔지니어링 서비스업<NA><NA><NA>0<NA>0
6과천시주식회사 경동엔지니어링영업2023-03-30경기도 과천시 과천대로7길 20, 과천 스마트케이 업무시설 (갈현동)경기도 과천시 갈현동 427-1 과천 스마트케이 업무시설13840070-7437-687937.41413126.97917<NA><NA><NA><NA><NA><NA><NA>198049.964401434683.369864분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
7광주시주식회사 모리트영업2023-04-11경기도 광주시 염소골길 57-5 (목동)경기도 광주시 목동 143-111277002-453-640537.37792127.202701<NA><NA><NA><NA><NA><NA><NA>217896.900739430656.99268분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
8구리시(주)경호엔지니어링종합건축사사무소영업2016-06-16경기도 구리시 체육관로74번길 41 (수택동, 경호기술단)경기도 구리시 수택동 849-7번지 경호기술단11940031560550837.591388127.14037<NA><NA><NA><NA><NA><NA>건축기술, 엔지니어링 및 관련기술 서비스업212327.75572454348.552511분뇨등관련영업관리건축기술, 엔지니어링 및 관련기술 서비스업<NA><NA><NA>0<NA>0
9남양주시(주)가나엔텍영업20150601경기도 남양주시 진접읍 금강로 976 (2층)경기도 남양주시 진접읍 내곡리 190-512075575-920437.687527127.162284<NA><NA><NA><NA><NA><NA><NA>214239.55568465025.497706분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
시군명사업장명영업상태인허가일자도로명주소지번주소우편번호전화번호WGS84위도WGS84경도인허가취소일자폐업일자휴업시작일자휴업종료일자재개업일자소재지면적업태구분명X좌표값Y좌표값환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
106하남시(주)한국종합기술영업20210907경기도 하남시 덕풍동로 111-21, 덕풍동 744 케이앤몰 2층 201호 (덕풍동)경기도 하남시 덕풍동 744 덕풍동 744 케이앤몰 201호1292702-2049-252137.551815127.207695<NA><NA><NA><NA><NA><NA>축산분뇨 처리업218281.159611449964.90033분뇨등관련영업관리축산분뇨 처리업<NA><NA><NA>0<NA>0
107화성시(주)뎀코영업2023-06-05경기도 화성시 남양읍 현대기아로 498-2, 201호경기도 화성시 남양읍 무송리 180-5182740705056094837.193829126.847675<NA><NA><NA><NA><NA><NA><NA>186405.82795410226.280293분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
108화성시(주)동명기술공단종합건축사사무소영업2015-06-08경기도 화성시 노작로4길 8 (반송동,4층)동 (반송동)경기도 화성시 반송동 130-1184598003-843237.19671127.077561<NA><NA><NA><NA><NA><NA><NA>206815.716002410542.368236분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
109화성시대명엔텍(주)영업2023-06-05경기도 화성시 남양읍 현대기아로 498-2, 202호경기도 화성시 남양읍 무송리 180-518274031355810137.193829126.847675<NA><NA><NA><NA><NA><NA><NA>186405.82795410226.280293분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
110화성시비케이환경종합건설(주)폐업20170104경기도 화성시 향남읍 서봉로 651-5경기도 화성시 향남읍 동오리 700-11번지18589031366623637.134175126.952926<NA>20180124<NA><NA><NA><NA><NA>195769.0403601.0분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
111화성시주식회사 동진씨앤지휴업2019-10-26경기도 화성시 동탄순환대로 830, 동탄 SK V1 center 1103호 (영천동)경기도 화성시 영천동 397 동탄 SK V1 center18468031-377-298437.209993127.097074<NA><NA>2023-04-04<NA><NA><NA><NA>208532.427254412025.235558분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
112화성시주흥환경(주)영업20171227경기도 화성시 병점동로164번길 39, 광림빌딩 201호 (진안동)경기도 화성시 진안동 859-1 광림빌딩 201호18392031-236-121537.215814127.039596<NA><NA><NA><NA><NA><NA><NA>203443.683624412661.766213분뇨등관련영업관리<NA><NA><NA><NA>0<NA>0
113화성시한솔개발영업20190605경기도 화성시 황계길131번길 13 (황계동)경기도 화성시 황계동 162-1218347031224332037.22381127.014794<NA><NA><NA><NA><NA><NA><NA>201257.368746413540.559777분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>
114화성시화성양돈영농조합영업2012-02-14경기도 화성시 장안면 고해길 27경기도 화성시 장안면 독정리 34-618583351-993237.068312126.865085<NA><NA><NA><NA><NA><NA>기타 비료 및 질소화합물 제조업187954.212001396378.96523분뇨등관련영업관리기타 비료 및 질소화합물 제조업<NA><NA><NA>0<NA>0
115<NA>시원산업개발(주)폐업20131226서울특별시 은평구 통일로 856, 11층 11011호 (불광동, 메트로타워)서울특별시 은평구 불광동 311-13번지 메트로타워 11층 11011호334502-387-188837.619552126.921419<NA>20180112<NA><NA><NA><NA><NA>192998.202204457479.995226분뇨등관련영업관리<NA><NA><NA><NA><NA><NA><NA>