Overview

Dataset statistics

Number of variables33
Number of observations42
Missing cells577
Missing cells (%)41.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory286.1 B

Variable types

Categorical10
Numeric4
DateTime2
Unsupported10
Text7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),환경업무구분명,업종구분명,종별명,주생산품명,배출시설조업시간,배출시설연간가동일수,방지시설조업시간,방지시설연간가동일수
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19328/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (72.4%)Imbalance
영업상태명 is highly imbalanced (72.4%)Imbalance
상세영업상태코드 is highly imbalanced (72.4%)Imbalance
상세영업상태명 is highly imbalanced (72.4%)Imbalance
휴업시작일자 is highly imbalanced (83.8%)Imbalance
도로명우편번호 is highly imbalanced (75.8%)Imbalance
데이터갱신구분 is highly imbalanced (83.8%)Imbalance
데이터갱신일자 is highly imbalanced (83.8%)Imbalance
환경업무구분명 is highly imbalanced (83.8%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 3 (7.1%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 35 (83.3%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 4 (9.5%) missing valuesMissing
도로명주소 has 17 (40.5%) missing valuesMissing
업태구분명 has 34 (81.0%) missing valuesMissing
좌표정보(X) has 15 (35.7%) missing valuesMissing
좌표정보(Y) has 15 (35.7%) missing valuesMissing
업종구분명 has 34 (81.0%) missing valuesMissing
종별명 has 42 (100.0%) missing valuesMissing
주생산품명 has 42 (100.0%) missing valuesMissing
배출시설조업시간 has 42 (100.0%) missing valuesMissing
배출시설연간가동일수 has 42 (100.0%) missing valuesMissing
방지시설조업시간 has 42 (100.0%) missing valuesMissing
방지시설연간가동일수 has 42 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
배출시설연간가동일수 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
방지시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:47:20.070104
Analysis finished2024-05-11 08:47:21.208824
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3010000
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 42
100.0%

Length

2024-05-11T08:47:21.735059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:22.066799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 42
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0100005 × 1017
Minimum3.0100005 × 1017
Maximum3.0100005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T08:47:22.564941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0100005 × 1017
5-th percentile3.0100005 × 1017
Q13.0100005 × 1017
median3.0100005 × 1017
Q33.0100005 × 1017
95-th percentile3.0100005 × 1017
Maximum3.0100005 × 1017
Range2.0219999 × 108
Interquartile range (IQR)1299968

Descriptive statistics

Standard deviation59272289
Coefficient of variation (CV)1.9691787 × 10-10
Kurtosis6.488084
Mean3.0100005 × 1017
Median Absolute Deviation (MAD)550016
Skewness-2.8597638
Sum-5.8047418 × 1018
Variance3.5132042 × 1015
MonotonicityStrictly increasing
2024-05-11T08:47:23.128356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
301000054000000011 1
 
2.4%
301000054200000032 1
 
2.4%
301000054199700025 1
 
2.4%
301000054199700028 1
 
2.4%
301000054200000001 1
 
2.4%
301000054200000003 1
 
2.4%
301000054200000012 1
 
2.4%
301000054200000014 1
 
2.4%
301000054200000030 1
 
2.4%
301000054200000031 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
301000054000000011 1
2.4%
301000054000000012 1
2.4%
301000054000000013 1
2.4%
301000054000000014 1
2.4%
301000054197500001 1
2.4%
301000054197500002 1
2.4%
301000054198000001 1
2.4%
301000054198000002 1
2.4%
301000054198000003 1
2.4%
301000054198700005 1
2.4%
ValueCountFrequency (%)
301000054202200001 1
2.4%
301000054201000001 1
2.4%
301000054200400003 1
2.4%
301000054200300001 1
2.4%
301000054200200001 1
2.4%
301000054200100003 1
2.4%
301000054200100002 1
2.4%
301000054200000034 1
2.4%
301000054200000033 1
2.4%
301000054200000032 1
2.4%

인허가일자
Date

Distinct34
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1975-05-12 00:00:00
Maximum2022-12-09 00:00:00
2024-05-11T08:47:23.716619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:47:24.186786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
39 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 39
92.9%
1 2
 
4.8%
2 1
 
2.4%

Length

2024-05-11T08:47:24.689621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:25.230303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 39
92.9%
1 2
 
4.8%
2 1
 
2.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
39 
영업/정상
 
2
휴업
 
1

Length

Max length5
Median length2
Mean length2.1428571
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 39
92.9%
영업/정상 2
 
4.8%
휴업 1
 
2.4%

Length

2024-05-11T08:47:25.767011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:26.110543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 39
92.9%
영업/정상 2
 
4.8%
휴업 1
 
2.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
2
39 
11
 
2
1
 
1

Length

Max length2
Median length1
Mean length1.047619
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
2 39
92.9%
11 2
 
4.8%
1 1
 
2.4%

Length

2024-05-11T08:47:26.512923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:27.105452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 39
92.9%
11 2
 
4.8%
1 1
 
2.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
39 
영업
 
2
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 39
92.9%
영업 2
 
4.8%
휴업 1
 
2.4%

Length

2024-05-11T08:47:27.907612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:28.339874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 39
92.9%
영업 2
 
4.8%
휴업 1
 
2.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)17.9%
Missing3
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean20112191
Minimum20070921
Maximum20180706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T08:47:28.784562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070921
5-th percentile20099395
Q120110323
median20110323
Q320110323
95-th percentile20118140
Maximum20180706
Range109785
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17584.772
Coefficient of variation (CV)0.00087433395
Kurtosis11.842033
Mean20112191
Median Absolute Deviation (MAD)0
Skewness2.8461213
Sum7.8437546 × 108
Variance3.0922419 × 108
MonotonicityNot monotonic
2024-05-11T08:47:29.231067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20110323 33
78.6%
20100302 1
 
2.4%
20070921 1
 
2.4%
20111219 1
 
2.4%
20091229 1
 
2.4%
20180706 1
 
2.4%
20180427 1
 
2.4%
(Missing) 3
 
7.1%
ValueCountFrequency (%)
20070921 1
 
2.4%
20091229 1
 
2.4%
20100302 1
 
2.4%
20110323 33
78.6%
20111219 1
 
2.4%
20180427 1
 
2.4%
20180706 1
 
2.4%
ValueCountFrequency (%)
20180706 1
 
2.4%
20180427 1
 
2.4%
20111219 1
 
2.4%
20110323 33
78.6%
20100302 1
 
2.4%
20091229 1
 
2.4%
20070921 1
 
2.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
41 
20151222
 
1

Length

Max length8
Median length4
Mean length4.0952381
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row20151222
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 41
97.6%
20151222 1
 
2.4%

Length

2024-05-11T08:47:29.758252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:30.149189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
97.6%
20151222 1
 
2.4%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)85.7%
Missing35
Missing (%)83.3%
Memory size468.0 B
2024-05-11T08:47:30.685090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.142857
Min length8

Characters and Unicode

Total characters71
Distinct characters11
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

Unique5 ?
Unique (%)71.4%

Sample

1st row02 3167534
2nd row02 22665701
3rd row311 0260
4th row311 0260
5th row02 22705105
ValueCountFrequency (%)
02 3
25.0%
311 2
16.7%
0260 2
16.7%
3167534 1
 
8.3%
22665701 1
 
8.3%
22705105 1
 
8.3%
02-2273-1094 1
 
8.3%
027292296 1
 
8.3%
2024-05-11T08:47:32.035699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 16
22.5%
0 13
18.3%
1 8
11.3%
7
9.9%
6 6
 
8.5%
3 5
 
7.0%
7 5
 
7.0%
5 4
 
5.6%
9 3
 
4.2%
4 2
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62
87.3%
Space Separator 7
 
9.9%
Dash Punctuation 2
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 16
25.8%
0 13
21.0%
1 8
12.9%
6 6
 
9.7%
3 5
 
8.1%
7 5
 
8.1%
5 4
 
6.5%
9 3
 
4.8%
4 2
 
3.2%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 16
22.5%
0 13
18.3%
1 8
11.3%
7
9.9%
6 6
 
8.5%
3 5
 
7.0%
7 5
 
7.0%
5 4
 
5.6%
9 3
 
4.2%
4 2
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 16
22.5%
0 13
18.3%
1 8
11.3%
7
9.9%
6 6
 
8.5%
3 5
 
7.0%
7 5
 
7.0%
5 4
 
5.6%
9 3
 
4.2%
4 2
 
2.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Text

MISSING 

Distinct22
Distinct (%)57.9%
Missing4
Missing (%)9.5%
Memory size468.0 B
2024-05-11T08:47:32.630473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters228
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)39.5%

Sample

1st row100230
2nd row100110
3rd row100705
4th row100013
5th row100110
ValueCountFrequency (%)
100095 5
13.2%
100110 5
13.2%
100022 4
 
10.5%
100180 3
 
7.9%
100230 2
 
5.3%
100120 2
 
5.3%
100161 2
 
5.3%
100360 1
 
2.6%
100452 1
 
2.6%
100748 1
 
2.6%
Other values (12) 12
31.6%
2024-05-11T08:47:34.009639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 104
45.6%
1 64
28.1%
2 16
 
7.0%
9 9
 
3.9%
3 8
 
3.5%
5 7
 
3.1%
8 4
 
1.8%
6 4
 
1.8%
7 4
 
1.8%
l 2
 
0.9%
Other values (4) 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
97.4%
Lowercase Letter 4
 
1.8%
Space Separator 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
46.8%
1 64
28.8%
2 16
 
7.2%
9 9
 
4.1%
3 8
 
3.6%
5 7
 
3.2%
8 4
 
1.8%
6 4
 
1.8%
7 4
 
1.8%
4 2
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
n 1
25.0%
u 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
98.2%
Latin 4
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 104
46.4%
1 64
28.6%
2 16
 
7.1%
9 9
 
4.0%
3 8
 
3.6%
5 7
 
3.1%
8 4
 
1.8%
6 4
 
1.8%
7 4
 
1.8%
2
 
0.9%
Latin
ValueCountFrequency (%)
l 2
50.0%
n 1
25.0%
u 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 104
45.6%
1 64
28.1%
2 16
 
7.0%
9 9
 
3.9%
3 8
 
3.5%
5 7
 
3.1%
8 4
 
1.8%
6 4
 
1.8%
7 4
 
1.8%
l 2
 
0.9%
Other values (4) 6
 
2.6%

지번주소
Text

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T08:47:34.750830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length20.571429
Min length15

Characters and Unicode

Total characters864
Distinct characters60
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)57.1%

Sample

1st row서울특별시 중구 수표동 11-3 402호
2nd row서울특별시 중구 서소문동 120-23
3rd row서울특별시 중구 충무로3가 60-1
4th row서울특별시 중구 충무로3가 60-1
5th row서울특별시 중구 서소문동 120-23
ValueCountFrequency (%)
서울특별시 42
23.7%
중구 42
23.7%
서소문동 6
 
3.4%
남대문로5가 5
 
2.8%
31-1 4
 
2.3%
120-23 4
 
2.3%
명동2가 4
 
2.3%
수표동 3
 
1.7%
92 3
 
1.7%
다동 3
 
1.7%
Other values (47) 61
34.5%
2024-05-11T08:47:36.251672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
24.3%
서 49
 
5.7%
중 44
 
5.1%
시 43
 
5.0%
1 42
 
4.9%
특 42
 
4.9%
별 42
 
4.9%
구 42
 
4.9%
울 42
 
4.9%
동 31
 
3.6%
Other values (50) 277
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 465
53.8%
Space Separator 210
24.3%
Decimal Number 160
 
18.5%
Dash Punctuation 29
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 49
10.5%
중 44
9.5%
시 43
9.2%
특 42
9.0%
별 42
9.0%
구 42
9.0%
울 42
9.0%
동 31
 
6.7%
가 21
 
4.5%
로 11
 
2.4%
Other values (38) 98
21.1%
Decimal Number
ValueCountFrequency (%)
1 42
26.2%
2 29
18.1%
3 21
13.1%
5 21
13.1%
0 15
 
9.4%
6 7
 
4.4%
9 7
 
4.4%
4 7
 
4.4%
7 7
 
4.4%
8 4
 
2.5%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
53.8%
Common 399
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 49
10.5%
중 44
9.5%
시 43
9.2%
특 42
9.0%
별 42
9.0%
구 42
9.0%
울 42
9.0%
동 31
 
6.7%
가 21
 
4.5%
로 11
 
2.4%
Other values (38) 98
21.1%
Common
ValueCountFrequency (%)
210
52.6%
1 42
 
10.5%
- 29
 
7.3%
2 29
 
7.3%
3 21
 
5.3%
5 21
 
5.3%
0 15
 
3.8%
6 7
 
1.8%
9 7
 
1.8%
4 7
 
1.8%
Other values (2) 11
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 465
53.8%
ASCII 399
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
52.6%
1 42
 
10.5%
- 29
 
7.3%
2 29
 
7.3%
3 21
 
5.3%
5 21
 
5.3%
0 15
 
3.8%
6 7
 
1.8%
9 7
 
1.8%
4 7
 
1.8%
Other values (2) 11
 
2.8%
Hangul
ValueCountFrequency (%)
서 49
10.5%
중 44
9.5%
시 43
9.2%
특 42
9.0%
별 42
9.0%
구 42
9.0%
울 42
9.0%
동 31
 
6.7%
가 21
 
4.5%
로 11
 
2.4%
Other values (38) 98
21.1%

도로명주소
Text

MISSING 

Distinct16
Distinct (%)64.0%
Missing17
Missing (%)40.5%
Memory size468.0 B
2024-05-11T08:47:37.004443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length24.92
Min length21

Characters and Unicode

Total characters623
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)36.0%

Sample

1st row서울특별시 중구 을지로11길 29 (수표동)
2nd row서울특별시 중구 세종대로9길 42 (서소문동)
3rd row서울특별시 중구 퇴계로 173 (충무로3가)
4th row서울특별시 중구 세종대로9길 42 (서소문동)
5th row서울특별시 중구 다동길 46 (다동)
ValueCountFrequency (%)
서울특별시 25
19.5%
중구 25
19.5%
42 5
 
3.9%
퇴계로 5
 
3.9%
서소문동 4
 
3.1%
남대문로5가 4
 
3.1%
세종대로9길 3
 
2.3%
다동길 3
 
2.3%
46 3
 
2.3%
다동 3
 
2.3%
Other values (37) 48
37.5%
2024-05-11T08:47:38.325546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
20.1%
서 30
 
4.8%
중 27
 
4.3%
로 27
 
4.3%
특 25
 
4.0%
별 25
 
4.0%
시 25
 
4.0%
구 25
 
4.0%
울 25
 
4.0%
) 25
 
4.0%
Other values (53) 264
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
58.1%
Space Separator 125
 
20.1%
Decimal Number 83
 
13.3%
Close Punctuation 25
 
4.0%
Open Punctuation 25
 
4.0%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 30
 
8.3%
중 27
 
7.5%
로 27
 
7.5%
특 25
 
6.9%
별 25
 
6.9%
시 25
 
6.9%
구 25
 
6.9%
울 25
 
6.9%
동 23
 
6.4%
가 13
 
3.6%
Other values (39) 117
32.3%
Decimal Number
ValueCountFrequency (%)
1 15
18.1%
4 15
18.1%
2 13
15.7%
6 8
9.6%
5 8
9.6%
9 6
 
7.2%
0 6
 
7.2%
3 6
 
7.2%
7 3
 
3.6%
8 3
 
3.6%
Space Separator
ValueCountFrequency (%)
125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
58.1%
Common 261
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 30
 
8.3%
중 27
 
7.5%
로 27
 
7.5%
특 25
 
6.9%
별 25
 
6.9%
시 25
 
6.9%
구 25
 
6.9%
울 25
 
6.9%
동 23
 
6.4%
가 13
 
3.6%
Other values (39) 117
32.3%
Common
ValueCountFrequency (%)
125
47.9%
) 25
 
9.6%
( 25
 
9.6%
1 15
 
5.7%
4 15
 
5.7%
2 13
 
5.0%
6 8
 
3.1%
5 8
 
3.1%
9 6
 
2.3%
0 6
 
2.3%
Other values (4) 15
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
58.1%
ASCII 261
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
47.9%
) 25
 
9.6%
( 25
 
9.6%
1 15
 
5.7%
4 15
 
5.7%
2 13
 
5.0%
6 8
 
3.1%
5 8
 
3.1%
9 6
 
2.3%
0 6
 
2.3%
Other values (4) 15
 
5.7%
Hangul
ValueCountFrequency (%)
서 30
 
8.3%
중 27
 
7.5%
로 27
 
7.5%
특 25
 
6.9%
별 25
 
6.9%
시 25
 
6.9%
구 25
 
6.9%
울 25
 
6.9%
동 23
 
6.4%
가 13
 
3.6%
Other values (39) 117
32.3%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
39 
100230
 
1
4561
 
1
4541
 
1

Length

Max length6
Median length4
Mean length4.047619
Min length4

Unique

Unique3 ?
Unique (%)7.1%

Sample

1st row100230
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
92.9%
100230 1
 
2.4%
4561 1
 
2.4%
4541 1
 
2.4%

Length

2024-05-11T08:47:38.899513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:39.386339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
92.9%
100230 1
 
2.4%
4561 1
 
2.4%
4541 1
 
2.4%

사업장명
Text

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-05-11T08:47:40.136225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7.5
Mean length7.1666667
Min length4

Characters and Unicode

Total characters301
Distinct characters67
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

Unique25 ?
Unique (%)59.5%

Sample

1st row주)지산환경개발
2nd row동아건설산업(주)
3rd row극동건설-주
4th row동아건설산업(주)
5th row동아건설산업
ValueCountFrequency (%)
주)이엔비테크놀러지 4
 
9.3%
동아건설산업(주 3
 
7.0%
주)한화 2
 
4.7%
동국산업(주 2
 
4.7%
주-대우 2
 
4.7%
동우공영주식회사 2
 
4.7%
바이오메카(주 2
 
4.7%
주)지산환경개발 2
 
4.7%
주)카데코 1
 
2.3%
주)지앤지엔지니어링 1
 
2.3%
Other values (22) 22
51.2%
2024-05-11T08:47:42.051217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
11.6%
) 26
 
8.6%
( 25
 
8.3%
지 13
 
4.3%
건 13
 
4.3%
동 12
 
4.0%
설 11
 
3.7%
업 10
 
3.3%
산 9
 
3.0%
엔 7
 
2.3%
Other values (57) 140
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
80.4%
Close Punctuation 26
 
8.6%
Open Punctuation 25
 
8.3%
Dash Punctuation 7
 
2.3%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
14.5%
지 13
 
5.4%
건 13
 
5.4%
동 12
 
5.0%
설 11
 
4.5%
업 10
 
4.1%
산 9
 
3.7%
엔 7
 
2.9%
이 6
 
2.5%
공 6
 
2.5%
Other values (53) 120
49.6%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
80.4%
Common 59
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
14.5%
지 13
 
5.4%
건 13
 
5.4%
동 12
 
5.0%
설 11
 
4.5%
업 10
 
4.1%
산 9
 
3.7%
엔 7
 
2.9%
이 6
 
2.5%
공 6
 
2.5%
Other values (53) 120
49.6%
Common
ValueCountFrequency (%)
) 26
44.1%
( 25
42.4%
- 7
 
11.9%
1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
80.4%
ASCII 59
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
14.5%
지 13
 
5.4%
건 13
 
5.4%
동 12
 
5.0%
설 11
 
4.5%
업 10
 
4.1%
산 9
 
3.7%
엔 7
 
2.9%
이 6
 
2.5%
공 6
 
2.5%
Other values (53) 120
49.6%
ASCII
ValueCountFrequency (%)
) 26
44.1%
( 25
42.4%
- 7
 
11.9%
1
 
1.7%

최종수정일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2007-09-21 16:10:50
Maximum2023-05-11 09:54:48
2024-05-11T08:47:42.851878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:47:43.485245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
41 
U
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
I 41
97.6%
U 1
 
2.4%

Length

2024-05-11T08:47:44.423019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:45.081913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 41
97.6%
u 1
 
2.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2018-08-31 23:59:59.0
41 
2022-12-04 23:04:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 41
97.6%
2022-12-04 23:04:00.0 1
 
2.4%

Length

2024-05-11T08:47:45.575752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:46.077404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 41
48.8%
23:59:59.0 41
48.8%
2022-12-04 1
 
1.2%
23:04:00.0 1
 
1.2%

업태구분명
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing34
Missing (%)81.0%
Memory size468.0 B
2024-05-11T08:47:46.677567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length12.25
Min length6

Characters and Unicode

Total characters98
Distinct characters30
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

Unique3 ?
Unique (%)37.5%

Sample

1st row분뇨 및 축산폐기물 처리업
2nd row분뇨 및 축산폐기물 처리업
3rd row분뇨 및 축산폐기물 처리업
4th row비가공 식품 도매업
5th row분뇨 처리업
ValueCountFrequency (%)
분뇨 6
21.4%
처리업 6
21.4%
및 4
14.3%
축산폐기물 4
14.3%
비가공 1
 
3.6%
식품 1
 
3.6%
도매업 1
 
3.6%
하수 1
 
3.6%
기타 1
 
3.6%
건물건설관련 1
 
3.6%
Other values (2) 2
 
7.1%
2024-05-11T08:47:47.766642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
20.4%
업 8
 
8.2%
분 6
 
6.1%
처 6
 
6.1%
뇨 6
 
6.1%
리 6
 
6.1%
기 5
 
5.1%
물 5
 
5.1%
폐 4
 
4.1%
산 4
 
4.1%
Other values (20) 28
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
78.6%
Space Separator 20
 
20.4%
Other Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8
 
10.4%
분 6
 
7.8%
처 6
 
7.8%
뇨 6
 
7.8%
리 6
 
7.8%
기 5
 
6.5%
물 5
 
6.5%
폐 4
 
5.2%
산 4
 
5.2%
축 4
 
5.2%
Other values (18) 23
29.9%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
78.6%
Common 21
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8
 
10.4%
분 6
 
7.8%
처 6
 
7.8%
뇨 6
 
7.8%
리 6
 
7.8%
기 5
 
6.5%
물 5
 
6.5%
폐 4
 
5.2%
산 4
 
5.2%
축 4
 
5.2%
Other values (18) 23
29.9%
Common
ValueCountFrequency (%)
20
95.2%
, 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
78.6%
ASCII 21
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
95.2%
, 1
 
4.8%
Hangul
ValueCountFrequency (%)
업 8
 
10.4%
분 6
 
7.8%
처 6
 
7.8%
뇨 6
 
7.8%
리 6
 
7.8%
기 5
 
6.5%
물 5
 
6.5%
폐 4
 
5.2%
산 4
 
5.2%
축 4
 
5.2%
Other values (18) 23
29.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)63.0%
Missing15
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean198255.81
Minimum197175.2
Maximum200523.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T08:47:48.245604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197175.2
5-th percentile197307.02
Q1197617.68
median198345.02
Q3198744.43
95-th percentile199143.77
Maximum200523.29
Range3348.0916
Interquartile range (IQR)1126.7488

Descriptive statistics

Standard deviation776.45004
Coefficient of variation (CV)0.0039164051
Kurtosis1.0574703
Mean198255.81
Median Absolute Deviation (MAD)724.34571
Skewness0.87719087
Sum5352906.7
Variance602874.67
MonotonicityNot monotonic
2024-05-11T08:47:48.609839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
197614.608800998 3
 
7.1%
198345.02215434 3
 
7.1%
197175.200250032 2
 
4.8%
198619.38819773 2
 
4.8%
197614.692481764 2
 
4.8%
198744.433228989 2
 
4.8%
197675.397522479 2
 
4.8%
197620.676444642 2
 
4.8%
199140.139738096 1
 
2.4%
198504.71050756 1
 
2.4%
Other values (7) 7
16.7%
(Missing) 15
35.7%
ValueCountFrequency (%)
197175.200250032 2
4.8%
197614.608800998 3
7.1%
197614.692481764 2
4.8%
197620.676444642 2
4.8%
197638.403594278 1
 
2.4%
197675.397522479 2
4.8%
198070.105261557 1
 
2.4%
198345.02215434 3
7.1%
198504.71050756 1
 
2.4%
198619.38819773 2
4.8%
ValueCountFrequency (%)
200523.291875424 1
 
2.4%
199145.32420106 1
 
2.4%
199140.139738096 1
 
2.4%
199111.274344793 1
 
2.4%
199078.372627822 1
 
2.4%
198916.653480187 1
 
2.4%
198744.433228989 2
4.8%
198619.38819773 2
4.8%
198504.71050756 1
 
2.4%
198345.02215434 3
7.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)63.0%
Missing15
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean451133.8
Minimum450361.51
Maximum451737.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-05-11T08:47:48.954035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450361.51
5-th percentile450387.62
Q1450819.29
median451040.43
Q3451642.27
95-th percentile451737.69
Maximum451737.69
Range1376.1873
Interquartile range (IQR)822.97227

Descriptive statistics

Standard deviation457.13219
Coefficient of variation (CV)0.0010132963
Kurtosis-1.0973218
Mean451133.8
Median Absolute Deviation (MAD)314.0737
Skewness-0.10176747
Sum12180613
Variance208969.84
MonotonicityNot monotonic
2024-05-11T08:47:49.361705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
451032.860087325 3
 
7.1%
451737.693394501 3
 
7.1%
450823.319779918 2
 
4.8%
451135.740279961 2
 
4.8%
450800.758274337 2
 
4.8%
451677.065126229 2
 
4.8%
450448.56432183 2
 
4.8%
450361.506112161 2
 
4.8%
451607.469207684 1
 
2.4%
450963.951884949 1
 
2.4%
Other values (7) 7
16.7%
(Missing) 15
35.7%
ValueCountFrequency (%)
450361.506112161 2
4.8%
450448.56432183 2
4.8%
450800.758274337 2
4.8%
450815.270014456 1
 
2.4%
450823.319779918 2
4.8%
450963.951884949 1
 
2.4%
451032.860087325 3
7.1%
451040.432662092 1
 
2.4%
451135.740279961 2
4.8%
451154.232387243 1
 
2.4%
ValueCountFrequency (%)
451737.693394501 3
7.1%
451713.70616392 1
 
2.4%
451694.842893728 1
 
2.4%
451677.065126229 2
4.8%
451607.469207684 1
 
2.4%
451462.625533766 1
 
2.4%
451354.506364946 1
 
2.4%
451154.232387243 1
 
2.4%
451135.740279961 2
4.8%
451040.432662092 1
 
2.4%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
분뇨등설계시공업관리
41 
<NA>
 
1

Length

Max length10
Median length10
Mean length9.8571429
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 41
97.6%
<NA> 1
 
2.4%

Length

2024-05-11T08:47:49.770613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:50.103366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 41
97.6%
na 1
 
2.4%

업종구분명
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing34
Missing (%)81.0%
Memory size468.0 B
2024-05-11T08:47:50.435842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length12.25
Min length6

Characters and Unicode

Total characters98
Distinct characters30
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

Unique3 ?
Unique (%)37.5%

Sample

1st row분뇨 및 축산폐기물 처리업
2nd row분뇨 및 축산폐기물 처리업
3rd row분뇨 및 축산폐기물 처리업
4th row비가공 식품 도매업
5th row분뇨 처리업
ValueCountFrequency (%)
분뇨 6
21.4%
처리업 6
21.4%
및 4
14.3%
축산폐기물 4
14.3%
비가공 1
 
3.6%
식품 1
 
3.6%
도매업 1
 
3.6%
하수 1
 
3.6%
기타 1
 
3.6%
건물건설관련 1
 
3.6%
Other values (2) 2
 
7.1%
2024-05-11T08:47:51.291577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
20.4%
업 8
 
8.2%
분 6
 
6.1%
처 6
 
6.1%
뇨 6
 
6.1%
리 6
 
6.1%
기 5
 
5.1%
물 5
 
5.1%
폐 4
 
4.1%
산 4
 
4.1%
Other values (20) 28
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
78.6%
Space Separator 20
 
20.4%
Other Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8
 
10.4%
분 6
 
7.8%
처 6
 
7.8%
뇨 6
 
7.8%
리 6
 
7.8%
기 5
 
6.5%
물 5
 
6.5%
폐 4
 
5.2%
산 4
 
5.2%
축 4
 
5.2%
Other values (18) 23
29.9%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
78.6%
Common 21
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8
 
10.4%
분 6
 
7.8%
처 6
 
7.8%
뇨 6
 
7.8%
리 6
 
7.8%
기 5
 
6.5%
물 5
 
6.5%
폐 4
 
5.2%
산 4
 
5.2%
축 4
 
5.2%
Other values (18) 23
29.9%
Common
ValueCountFrequency (%)
20
95.2%
, 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
78.6%
ASCII 21
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
95.2%
, 1
 
4.8%
Hangul
ValueCountFrequency (%)
업 8
 
10.4%
분 6
 
7.8%
처 6
 
7.8%
뇨 6
 
7.8%
리 6
 
7.8%
기 5
 
6.5%
물 5
 
6.5%
폐 4
 
5.2%
산 4
 
5.2%
축 4
 
5.2%
Other values (18) 23
29.9%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

배출시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

방지시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0301000030100005400000001120001214<NA>2휴업1휴업<NA>20151222<NA><NA><NA><NA>100230서울특별시 중구 수표동 11-3 402호서울특별시 중구 을지로11길 29 (수표동)100230주)지산환경개발2017-05-10 17:16:07I2018-08-31 23:59:59.0<NA>199111.274345451713.706164분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
1301000030100005400000001220020708<NA>3폐업2폐업20100302<NA><NA><NA><NA><NA>100110서울특별시 중구 서소문동 120-23서울특별시 중구 세종대로9길 42 (서소문동)<NA>동아건설산업(주)2011-03-23 10:03:19I2018-08-31 23:59:59.0분뇨 및 축산폐기물 처리업197614.608801451032.860087분뇨등설계시공업관리분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
2301000030100005400000001320010117<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100705서울특별시 중구 충무로3가 60-1<NA><NA>극동건설-주2011-03-23 10:03:57I2018-08-31 23:59:59.0분뇨 및 축산폐기물 처리업<NA><NA>분뇨등설계시공업관리분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
3301000030100005400000001420060323<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100013서울특별시 중구 충무로3가 60-1서울특별시 중구 퇴계로 173 (충무로3가)<NA>동아건설산업(주)2011-03-23 14:50:14I2018-08-31 23:59:59.0<NA>199145.324201451040.432662분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
4301000030100005419750000119750512<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA><NA>서울특별시 중구 서소문동 120-23<NA><NA>동아건설산업2011-03-23 14:52:17I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
5301000030100005419750000220010117<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100110서울특별시 중구 서소문동 120-23서울특별시 중구 세종대로9길 42 (서소문동)<NA>동아건설산업(주)2011-03-23 14:52:58I2018-08-31 23:59:59.0분뇨 및 축산폐기물 처리업197614.608801451032.860087분뇨등설계시공업관리분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
6301000030100005419800000120010130<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100180서울특별시 중구 다동 92서울특별시 중구 다동길 46 (다동)<NA>동국산업(주)2011-03-23 14:53:21I2018-08-31 23:59:59.0<NA>198345.022154451737.693395분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
7301000030100005419800000220010130<NA>3폐업2폐업20110323<NA><NA><NA>02 3167534<NA>100180서울특별시 중구 다동 92서울특별시 중구 다동길 46 (다동)<NA>동국산업(주)2011-03-23 14:53:57I2018-08-31 23:59:59.0<NA>198345.022154451737.693395분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
8301000030100005419800000320020508<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100180서울특별시 중구 다동 92서울특별시 중구 다동길 46 (다동)<NA>(주)동국에스엔씨2011-03-23 14:54:29I2018-08-31 23:59:59.0<NA>198345.022154451737.693395분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
9301000030100005419870000520020531<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100095서울특별시 중구 남대문로5가 541서울특별시 중구 한강대로 416 (남대문로5가)<NA>주-대우2011-03-23 14:57:56I2018-08-31 23:59:59.0<NA>197620.676445450361.506112분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
32301000030100005420000003220001004<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100022서울특별시 중구 명동2가 31-1<NA><NA>(주)이엔비테크놀러지2011-03-23 15:27:17I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
33301000030100005420000003320001103<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100120서울특별시 중구 정동 1-17<NA><NA>주-한양2011-03-23 15:27:41I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
34301000030100005420000003420010122<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100130서울특별시 중구 순화동 1-64<NA><NA>(주)카데코2011-03-23 15:28:02I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
35301000030100005420010000220020604<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100360서울특별시 중구 중림동 10-3서울특별시 중구 청파로 450 (중림동)<NA>동우공영주식회사2011-03-23 15:28:27I2018-08-31 23:59:59.0<NA>197175.20025450823.31978분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
36301000030100005420010000320060323<NA>3폐업2폐업20180706<NA><NA><NA><NA><NA>null서울특별시 중구 중림동 10-3서울특별시 중구 청파로 450 (중림동)<NA>동우공영주식회사2018-07-09 10:14:36I2018-08-31 23:59:59.0<NA>197175.20025450823.31978분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
37301000030100005420020000120020508<NA>3폐업2폐업20110323<NA><NA><NA>02 22705105<NA>100748서울특별시 중구 저동2가 24-1서울특별시 중구 수표로 34 (저동2가)<NA>쌍용양회 공업-주2011-03-23 15:29:16I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업199078.372628451354.506365분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
38301000030100005420030000120030416<NA>1영업/정상11영업<NA><NA><NA><NA>02-2273-1094<NA><NA>서울특별시 중구 광희동1가 182-21 신생빌딩 502호서울특별시 중구 을지로44길 13, 502호 (광희동1가, 신생빌딩)4561(주)지앤지엔지니어링2016-10-07 16:21:17I2018-08-31 23:59:59.0기타 건물건설관련 전문 공사업200523.291875451462.625534분뇨등설계시공업관리기타 건물건설관련 전문 공사업<NA><NA><NA><NA><NA><NA>
39301000030100005420040000320041119<NA>3폐업2폐업20110323<NA><NA><NA><NA><NA>100192서울특별시 중구 을지로2가 88-1<NA><NA>우원환경엔지니어링2011-03-23 15:29:39I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
40301000030100005420100000120100604<NA>3폐업2폐업20180427<NA><NA><NA><NA><NA><NA>서울특별시 중구 수표동 99 시그니쳐타워 서관 15층<NA><NA>(주)동양2018-04-27 17:31:14I2018-08-31 23:59:59.0<NA>198916.65348451694.842894분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
4130100003010000542022000012022-12-09<NA>1영업/정상11영업<NA><NA><NA><NA>027292296<NA><NA>서울특별시 중구 장교동 1 한화빌딩서울특별시 중구 청계천로 86, 한화빌딩 (장교동)4541(주)한화2023-05-11 09:54:48U2022-12-04 23:04:00.0<NA>198744.433229451677.065126<NA><NA><NA><NA><NA><NA><NA><NA>