Overview

Dataset statistics

Number of variables33
Number of observations167
Missing cells1285
Missing cells (%)23.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.0 KiB
Average record size in memory281.8 B

Variable types

Categorical17
Numeric3
DateTime3
Unsupported6
Text4

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19348/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태코드 is highly imbalanced (54.8%)Imbalance
상세영업상태명 is highly imbalanced (54.8%)Imbalance
휴업시작일자 is highly imbalanced (94.7%)Imbalance
휴업종료일자 is highly imbalanced (94.7%)Imbalance
재개업일자 is highly imbalanced (92.1%)Imbalance
도로명우편번호 is highly imbalanced (59.1%)Imbalance
데이터갱신구분 is highly imbalanced (83.7%)Imbalance
데이터갱신일자 is highly imbalanced (68.5%)Imbalance
업태구분명 is highly imbalanced (54.4%)Imbalance
환경업무구분명 is highly imbalanced (65.0%)Imbalance
업종구분명 is highly imbalanced (58.6%)Imbalance
배출시설연간가동일수 is highly imbalanced (77.7%)Imbalance
방지시설연간가동일수 is highly imbalanced (77.7%)Imbalance
인허가취소일자 has 167 (100.0%) missing valuesMissing
폐업일자 has 131 (78.4%) missing valuesMissing
전화번호 has 77 (46.1%) missing valuesMissing
소재지면적 has 167 (100.0%) missing valuesMissing
도로명주소 has 60 (35.9%) missing valuesMissing
좌표정보(X) has 7 (4.2%) missing valuesMissing
좌표정보(Y) has 7 (4.2%) missing valuesMissing
종별명 has 167 (100.0%) missing valuesMissing
주생산품명 has 167 (100.0%) missing valuesMissing
배출시설조업시간 has 167 (100.0%) missing valuesMissing
방지시설조업시간 has 167 (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
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 started2024-04-06 10:27:36.341759
Analysis finished2024-04-06 10:27:37.148422
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3210000
167 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 167
100.0%

Length

2024-04-06T19:27:37.260118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:37.487377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 167
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2100005 × 1017
Minimum3.2100005 × 1017
Maximum3.2100005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:27:37.724401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2100005 × 1017
5-th percentile3.2100005 × 1017
Q13.2100005 × 1017
median3.2100005 × 1017
Q33.2100005 × 1017
95-th percentile3.2100005 × 1017
Maximum3.2100005 × 1017
Range4100000
Interquartile range (IQR)1549952

Descriptive statistics

Standard deviation945549.18
Coefficient of variation (CV)2.9456356 × 10-12
Kurtosis-0.73551678
Mean3.2100005 × 1017
Median Absolute Deviation (MAD)600000
Skewness0.11391558
Sum-1.7332232 × 1018
Variance8.9406325 × 1011
MonotonicityStrictly increasing
2024-04-06T19:27:37.967565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000054198300002 1
 
0.6%
321000054201300003 1
 
0.6%
321000054200900009 1
 
0.6%
321000054200900010 1
 
0.6%
321000054201000002 1
 
0.6%
321000054201000004 1
 
0.6%
321000054201100001 1
 
0.6%
321000054201100002 1
 
0.6%
321000054201300001 1
 
0.6%
321000054201300002 1
 
0.6%
Other values (157) 157
94.0%
ValueCountFrequency (%)
321000054198300002 1
0.6%
321000054198400002 1
0.6%
321000054198700004 1
0.6%
321000054198900006 1
0.6%
321000054198900007 1
0.6%
321000054198900008 1
0.6%
321000054199200014 1
0.6%
321000054199200015 1
0.6%
321000054199200016 1
0.6%
321000054199200017 1
0.6%
ValueCountFrequency (%)
321000054202400002 1
0.6%
321000054202400001 1
0.6%
321000054202300003 1
0.6%
321000054202300002 1
0.6%
321000054202300001 1
0.6%
321000054202200006 1
0.6%
321000054202200005 1
0.6%
321000054202200004 1
0.6%
321000054202200003 1
0.6%
321000054202200002 1
0.6%

인허가일자
Date

Distinct132
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1983-08-03 00:00:00
Maximum2024-03-04 00:00:00
2024-04-06T19:27:38.655076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:27:38.972491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
127 
3
39 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 127
76.0%
3 39
 
23.4%
2 1
 
0.6%

Length

2024-04-06T19:27:39.219998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:39.413667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 127
76.0%
3 39
 
23.4%
2 1
 
0.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
127 
폐업
39 
휴업
 
1

Length

Max length5
Median length5
Mean length4.2814371
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 127
76.0%
폐업 39
 
23.4%
휴업 1
 
0.6%

Length

2024-04-06T19:27:39.613845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:39.818295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 127
76.0%
폐업 39
 
23.4%
휴업 1
 
0.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
11
124 
2
36 
3
 
3
4
 
3
1
 
1

Length

Max length2
Median length2
Mean length1.742515
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row2

Common Values

ValueCountFrequency (%)
11 124
74.3%
2 36
 
21.6%
3 3
 
1.8%
4 3
 
1.8%
1 1
 
0.6%

Length

2024-04-06T19:27:40.013896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:40.192190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 124
74.3%
2 36
 
21.6%
3 3
 
1.8%
4 3
 
1.8%
1 1
 
0.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업
124 
폐업
36 
재개업
 
3
폐쇄
 
3
휴업
 
1

Length

Max length3
Median length2
Mean length2.0179641
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업 124
74.3%
폐업 36
 
21.6%
재개업 3
 
1.8%
폐쇄 3
 
1.8%
휴업 1
 
0.6%

Length

2024-04-06T19:27:40.387196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:40.580303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 124
74.3%
폐업 36
 
21.6%
재개업 3
 
1.8%
폐쇄 3
 
1.8%
휴업 1
 
0.6%

폐업일자
Date

MISSING 

Distinct34
Distinct (%)94.4%
Missing131
Missing (%)78.4%
Memory size1.4 KiB
Minimum2000-11-30 00:00:00
Maximum2023-12-12 00:00:00
2024-04-06T19:27:40.776598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:27:40.984265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
166 
20120209
 
1

Length

Max length8
Median length4
Mean length4.0239521
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 166
99.4%
20120209 1
 
0.6%

Length

2024-04-06T19:27:41.345716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:41.537601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
99.4%
20120209 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
166 
20130208
 
1

Length

Max length8
Median length4
Mean length4.0239521
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 166
99.4%
20130208 1
 
0.6%

Length

2024-04-06T19:27:41.799155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:42.050963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 166
99.4%
20130208 1
 
0.6%

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
164 
20040203
 
1
20030603
 
1
20110523
 
1

Length

Max length8
Median length4
Mean length4.0718563
Min length4

Unique

Unique3 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
98.2%
20040203 1
 
0.6%
20030603 1
 
0.6%
20110523 1
 
0.6%

Length

2024-04-06T19:27:42.335728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:42.561973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
98.2%
20040203 1
 
0.6%
20030603 1
 
0.6%
20110523 1
 
0.6%

전화번호
Text

MISSING 

Distinct51
Distinct (%)56.7%
Missing77
Missing (%)46.1%
Memory size1.4 KiB
2024-04-06T19:27:42.965038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.3111111
Min length7

Characters and Unicode

Total characters838
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

Unique33 ?
Unique (%)36.7%

Sample

1st row579 2545
2nd row0234720014
3rd row02 34157571
4th row02586 7200
5th row02 5306500
ValueCountFrequency (%)
025458965 8
 
7.0%
02 8
 
7.0%
025906554 6
 
5.2%
5892365 5
 
4.3%
025135500 4
 
3.5%
34982600 4
 
3.5%
5906554 4
 
3.5%
02-489-8419 4
 
3.5%
025933963 2
 
1.7%
02598 2
 
1.7%
Other values (56) 68
59.1%
2024-04-06T19:27:43.607236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
16.7%
5 134
16.0%
2 104
12.4%
4 79
9.4%
8 72
8.6%
9 67
8.0%
1 54
 
6.4%
6 52
 
6.2%
3 51
 
6.1%
7 31
 
3.7%
Other values (2) 54
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 784
93.6%
Dash Punctuation 28
 
3.3%
Space Separator 26
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
17.9%
5 134
17.1%
2 104
13.3%
4 79
10.1%
8 72
9.2%
9 67
8.5%
1 54
 
6.9%
6 52
 
6.6%
3 51
 
6.5%
7 31
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
16.7%
5 134
16.0%
2 104
12.4%
4 79
9.4%
8 72
8.6%
9 67
8.0%
1 54
 
6.4%
6 52
 
6.2%
3 51
 
6.1%
7 31
 
3.7%
Other values (2) 54
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
16.7%
5 134
16.0%
2 104
12.4%
4 79
9.4%
8 72
8.6%
9 67
8.0%
1 54
 
6.4%
6 52
 
6.2%
3 51
 
6.1%
7 31
 
3.7%
Other values (2) 54
 
6.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Categorical

Distinct33
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
36 
137073
16 
137071
13 
null
12 
137062
12 
Other values (28)
78 

Length

Max length7
Median length6
Mean length5.5748503
Min length4

Unique

Unique13 ?
Unique (%)7.8%

Sample

1st row137030
2nd row137071
3rd row137030
4th row137723
5th row137073

Common Values

ValueCountFrequency (%)
<NA> 36
21.6%
137073 16
 
9.6%
137071 13
 
7.8%
null 12
 
7.2%
137062 12
 
7.2%
137132 11
 
6.6%
137074 8
 
4.8%
137131 6
 
3.6%
137030 5
 
3.0%
137060 5
 
3.0%
Other values (23) 43
25.7%

Length

2024-04-06T19:27:43.850366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 36
21.6%
137073 16
 
9.6%
137071 13
 
7.8%
null 12
 
7.2%
137062 12
 
7.2%
137132 11
 
6.6%
137074 8
 
4.8%
137131 6
 
3.6%
137030 5
 
3.0%
137060 5
 
3.0%
Other values (23) 43
25.7%

지번주소
Text

Distinct102
Distinct (%)61.4%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2024-04-06T19:27:44.361439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length23.108434
Min length14

Characters and Unicode

Total characters3836
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)39.8%

Sample

1st row서울특별시 서초구 잠원동 50-2
2nd row서울특별시 서초구 서초동 1621-19
3rd row서울특별시 서초구 잠원동 35-32
4th row서울특별시 서초구 잠원동 50-2
5th row서울특별시 서초구 서초동 1586-7
ValueCountFrequency (%)
서울특별시 164
21.9%
서초구 164
21.9%
서초동 51
 
6.8%
방배동 46
 
6.1%
양재동 29
 
3.9%
반포동 19
 
2.5%
112-4 13
 
1.7%
잠원동 12
 
1.6%
437-15 8
 
1.1%
염곡동 7
 
0.9%
Other values (134) 235
31.4%
2024-04-06T19:27:45.201625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
730
19.0%
서 383
 
10.0%
초 215
 
5.6%
1 210
 
5.5%
동 173
 
4.5%
시 168
 
4.4%
울 166
 
4.3%
구 165
 
4.3%
특 164
 
4.3%
별 164
 
4.3%
Other values (98) 1298
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2093
54.6%
Decimal Number 831
 
21.7%
Space Separator 730
 
19.0%
Dash Punctuation 155
 
4.0%
Uppercase Letter 21
 
0.5%
Other Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 383
18.3%
초 215
10.3%
동 173
8.3%
시 168
8.0%
울 166
7.9%
구 165
7.9%
특 164
7.8%
별 164
7.8%
배 51
 
2.4%
방 51
 
2.4%
Other values (78) 393
18.8%
Decimal Number
ValueCountFrequency (%)
1 210
25.3%
2 117
14.1%
4 89
10.7%
0 86
10.3%
3 82
 
9.9%
5 80
 
9.6%
7 51
 
6.1%
6 48
 
5.8%
8 39
 
4.7%
9 29
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
J 5
23.8%
C 5
23.8%
A 5
23.8%
T 3
14.3%
K 3
14.3%
Space Separator
ValueCountFrequency (%)
730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2093
54.6%
Common 1722
44.9%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 383
18.3%
초 215
10.3%
동 173
8.3%
시 168
8.0%
울 166
7.9%
구 165
7.9%
특 164
7.8%
별 164
7.8%
배 51
 
2.4%
방 51
 
2.4%
Other values (78) 393
18.8%
Common
ValueCountFrequency (%)
730
42.4%
1 210
 
12.2%
- 155
 
9.0%
2 117
 
6.8%
4 89
 
5.2%
0 86
 
5.0%
3 82
 
4.8%
5 80
 
4.6%
7 51
 
3.0%
6 48
 
2.8%
Other values (5) 74
 
4.3%
Latin
ValueCountFrequency (%)
J 5
23.8%
C 5
23.8%
A 5
23.8%
T 3
14.3%
K 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2093
54.6%
ASCII 1743
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
730
41.9%
1 210
 
12.0%
- 155
 
8.9%
2 117
 
6.7%
4 89
 
5.1%
0 86
 
4.9%
3 82
 
4.7%
5 80
 
4.6%
7 51
 
2.9%
6 48
 
2.8%
Other values (10) 95
 
5.5%
Hangul
ValueCountFrequency (%)
서 383
18.3%
초 215
10.3%
동 173
8.3%
시 168
8.0%
울 166
7.9%
구 165
7.9%
특 164
7.8%
별 164
7.8%
배 51
 
2.4%
방 51
 
2.4%
Other values (78) 393
18.8%

도로명주소
Text

MISSING 

Distinct64
Distinct (%)59.8%
Missing60
Missing (%)35.9%
Memory size1.4 KiB
2024-04-06T19:27:45.663902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length35
Mean length28.71028
Min length22

Characters and Unicode

Total characters3072
Distinct characters113
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)38.3%

Sample

1st row서울특별시 서초구 서초중앙로6길 9 (서초동)
2nd row서울특별시 서초구 신반포로47길 33-8 (잠원동)
3rd row서울특별시 서초구 잠원로14길 29 (잠원동)
4th row서울특별시 서초구 효령로 267 (서초동)
5th row서울특별시 서초구 사평대로 344 (서초동)
ValueCountFrequency (%)
서울특별시 106
18.4%
서초구 106
18.4%
방배동 26
 
4.5%
서초동 25
 
4.3%
사평대로 14
 
2.4%
반포동 11
 
1.9%
84 10
 
1.7%
잠원동 10
 
1.7%
양재동 9
 
1.6%
효령로 9
 
1.6%
Other values (115) 251
43.5%
2024-04-06T19:27:46.364175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
524
 
17.1%
서 261
 
8.5%
초 151
 
4.9%
동 112
 
3.6%
( 109
 
3.5%
) 109
 
3.5%
시 109
 
3.5%
구 108
 
3.5%
울 107
 
3.5%
특 106
 
3.5%
Other values (103) 1376
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1855
60.4%
Space Separator 524
 
17.1%
Decimal Number 389
 
12.7%
Open Punctuation 109
 
3.5%
Close Punctuation 109
 
3.5%
Other Punctuation 50
 
1.6%
Uppercase Letter 23
 
0.7%
Dash Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 261
14.1%
초 151
 
8.1%
동 112
 
6.0%
시 109
 
5.9%
구 108
 
5.8%
울 107
 
5.8%
특 106
 
5.7%
별 106
 
5.7%
로 106
 
5.7%
대 53
 
2.9%
Other values (85) 636
34.3%
Decimal Number
ValueCountFrequency (%)
2 91
23.4%
1 62
15.9%
4 48
12.3%
6 37
9.5%
3 28
 
7.2%
7 27
 
6.9%
0 25
 
6.4%
5 25
 
6.4%
9 23
 
5.9%
8 23
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
C 9
39.1%
J 9
39.1%
A 5
21.7%
Space Separator
ValueCountFrequency (%)
524
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1855
60.4%
Common 1194
38.9%
Latin 23
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 261
14.1%
초 151
 
8.1%
동 112
 
6.0%
시 109
 
5.9%
구 108
 
5.8%
울 107
 
5.8%
특 106
 
5.7%
별 106
 
5.7%
로 106
 
5.7%
대 53
 
2.9%
Other values (85) 636
34.3%
Common
ValueCountFrequency (%)
524
43.9%
( 109
 
9.1%
) 109
 
9.1%
2 91
 
7.6%
1 62
 
5.2%
, 50
 
4.2%
4 48
 
4.0%
6 37
 
3.1%
3 28
 
2.3%
7 27
 
2.3%
Other values (5) 109
 
9.1%
Latin
ValueCountFrequency (%)
C 9
39.1%
J 9
39.1%
A 5
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1855
60.4%
ASCII 1217
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
524
43.1%
( 109
 
9.0%
) 109
 
9.0%
2 91
 
7.5%
1 62
 
5.1%
, 50
 
4.1%
4 48
 
3.9%
6 37
 
3.0%
3 28
 
2.3%
7 27
 
2.2%
Other values (8) 132
 
10.8%
Hangul
ValueCountFrequency (%)
서 261
14.1%
초 151
 
8.1%
동 112
 
6.0%
시 109
 
5.9%
구 108
 
5.8%
울 107
 
5.8%
특 106
 
5.7%
별 106
 
5.7%
로 106
 
5.7%
대 53
 
2.9%
Other values (85) 636
34.3%

도로명우편번호
Categorical

IMBALANCE 

Distinct15
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
129 
06792
 
6
06703
 
5
137896
 
4
06575
 
4
Other values (10)
19 

Length

Max length7
Median length4
Mean length4.3113772
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
77.2%
06792 6
 
3.6%
06703 5
 
3.0%
137896 4
 
2.4%
06575 4
 
2.4%
06697 3
 
1.8%
137850 2
 
1.2%
06515 2
 
1.2%
06696 2
 
1.2%
06585 2
 
1.2%
Other values (5) 8
 
4.8%

Length

2024-04-06T19:27:46.581941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 129
77.2%
06792 6
 
3.6%
06703 5
 
3.0%
137896 4
 
2.4%
06575 4
 
2.4%
06697 3
 
1.8%
137850 2
 
1.2%
06515 2
 
1.2%
06696 2
 
1.2%
06585 2
 
1.2%
Other values (5) 8
 
4.8%

사업장명
Text

Distinct94
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T19:27:46.985482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.7305389
Min length4

Characters and Unicode

Total characters1458
Distinct characters151
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)35.3%

Sample

1st row롯데건설(주)
2nd row(주)천지엔지니어링
3rd row한신공영(주)
4th row롯데건설(주)
5th row(주)우성건설
ValueCountFrequency (%)
이수건설(주 13
 
7.1%
유덕환경(주 10
 
5.5%
주식회사 8
 
4.4%
롯데건설(주 7
 
3.8%
주)제일엔지니어링 6
 
3.3%
유림환경(주 5
 
2.7%
주)케이씨씨건설 4
 
2.2%
종합건축사사무소 4
 
2.2%
주)마하이앤씨 4
 
2.2%
씨제이대한통운주식회사 4
 
2.2%
Other values (88) 118
64.5%
2024-04-06T19:27:47.612879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 166
 
11.4%
) 144
 
9.9%
( 142
 
9.7%
이 72
 
4.9%
건 62
 
4.3%
설 55
 
3.8%
엔 37
 
2.5%
지 36
 
2.5%
사 29
 
2.0%
씨 28
 
1.9%
Other values (141) 687
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1147
78.7%
Close Punctuation 144
 
9.9%
Open Punctuation 142
 
9.7%
Space Separator 16
 
1.1%
Uppercase Letter 5
 
0.3%
Other Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 166
 
14.5%
이 72
 
6.3%
건 62
 
5.4%
설 55
 
4.8%
엔 37
 
3.2%
지 36
 
3.1%
사 29
 
2.5%
씨 28
 
2.4%
경 27
 
2.4%
환 24
 
2.1%
Other values (132) 611
53.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
P 1
20.0%
E 1
20.0%
J 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Open Punctuation
ValueCountFrequency (%)
( 142
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1147
78.7%
Common 306
 
21.0%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 166
 
14.5%
이 72
 
6.3%
건 62
 
5.4%
설 55
 
4.8%
엔 37
 
3.2%
지 36
 
3.1%
사 29
 
2.5%
씨 28
 
2.4%
경 27
 
2.4%
환 24
 
2.1%
Other values (132) 611
53.3%
Common
ValueCountFrequency (%)
) 144
47.1%
( 142
46.4%
16
 
5.2%
, 2
 
0.7%
- 2
 
0.7%
Latin
ValueCountFrequency (%)
C 2
40.0%
P 1
20.0%
E 1
20.0%
J 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1147
78.7%
ASCII 311
 
21.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 166
 
14.5%
이 72
 
6.3%
건 62
 
5.4%
설 55
 
4.8%
엔 37
 
3.2%
지 36
 
3.1%
사 29
 
2.5%
씨 28
 
2.4%
경 27
 
2.4%
환 24
 
2.1%
Other values (132) 611
53.3%
ASCII
ValueCountFrequency (%)
) 144
46.3%
( 142
45.7%
16
 
5.1%
C 2
 
0.6%
, 2
 
0.6%
- 2
 
0.6%
P 1
 
0.3%
E 1
 
0.3%
J 1
 
0.3%

최종수정일자
Date

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2000-09-25 11:24:19
Maximum2024-03-04 13:23:24
2024-04-06T19:27:47.842586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:27:48.069457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
163 
U
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 163
97.6%
U 4
 
2.4%

Length

2024-04-06T19:27:48.268830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:48.421175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 163
97.6%
u 4
 
2.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct29
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-08-31 23:59:59.0
137 
2021-10-17 00:22:47.0
 
3
2018-10-28 02:37:53.0
 
1
2019-03-16 02:40:00.0
 
1
2019-05-18 02:20:49.0
 
1
Other values (24)
24 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique27 ?
Unique (%)16.2%

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 23:59:59.0 137
82.0%
2021-10-17 00:22:47.0 3
 
1.8%
2018-10-28 02:37:53.0 1
 
0.6%
2019-03-16 02:40:00.0 1
 
0.6%
2019-05-18 02:20:49.0 1
 
0.6%
2019-10-26 00:23:18.0 1
 
0.6%
2019-12-25 00:23:26.0 1
 
0.6%
2020-02-12 00:23:23.0 1
 
0.6%
2020-02-23 00:23:23.0 1
 
0.6%
2020-04-30 00:23:21.0 1
 
0.6%
Other values (19) 19
 
11.4%

Length

2024-04-06T19:27:48.577169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 137
41.0%
23:59:59.0 137
41.0%
2021-10-17 3
 
0.9%
00:22:47.0 3
 
0.9%
21:00:00.0 2
 
0.6%
00:23:23.0 2
 
0.6%
2022-12-02 2
 
0.6%
22:00:00.0 2
 
0.6%
2022-11-30 1
 
0.3%
2021-12-02 1
 
0.3%
Other values (44) 44
 
13.2%

업태구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
107 
하수, 분뇨 및 축산폐기물 처리업
43 
종합 건설업
 
6
폐기물 처리 및 오염방지시설 건설업
 
4
건물 건설업
 
2
Other values (5)
 
5

Length

Max length19
Median length4
Mean length8.2874251
Min length4

Unique

Unique5 ?
Unique (%)3.0%

Sample

1st row하수, 분뇨 및 축산폐기물 처리업
2nd row하수, 분뇨 및 축산폐기물 처리업
3rd row하수, 분뇨 및 축산폐기물 처리업
4th row분뇨 처리업
5th row하수, 분뇨 및 축산폐기물 처리업

Common Values

ValueCountFrequency (%)
<NA> 107
64.1%
하수, 분뇨 및 축산폐기물 처리업 43
25.7%
종합 건설업 6
 
3.6%
폐기물 처리 및 오염방지시설 건설업 4
 
2.4%
건물 건설업 2
 
1.2%
분뇨 처리업 1
 
0.6%
그외 기타 산업용 중간재 도매업 1
 
0.6%
철근 및 철근 콘크리트 공사업 1
 
0.6%
건물설비 설치 공사업 1
 
0.6%
환경설비 건설업 1
 
0.6%

Length

2024-04-06T19:27:48.790681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:49.020688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
28.5%
및 48
12.8%
분뇨 44
11.7%
처리업 44
11.7%
축산폐기물 43
11.5%
하수 43
11.5%
건설업 13
 
3.5%
종합 6
 
1.6%
폐기물 4
 
1.1%
처리 4
 
1.1%
Other values (13) 19
 
5.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)50.0%
Missing7
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean201141.26
Minimum198509.23
Maximum204093.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:27:49.283824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198509.23
5-th percentile198513.33
Q1199384.48
median201293.26
Q3202312.5
95-th percentile203908.34
Maximum204093.54
Range5584.3062
Interquartile range (IQR)2928.0161

Descriptive statistics

Standard deviation1731.2937
Coefficient of variation (CV)0.0086073524
Kurtosis-1.1413414
Mean201141.26
Median Absolute Deviation (MAD)1395.2637
Skewness0.16417458
Sum32182601
Variance2997377.9
MonotonicityNot monotonic
2024-04-06T19:27:49.506497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199371.371382654 13
 
7.8%
198513.33078735 8
 
4.8%
203908.342097327 7
 
4.2%
201293.26005564 6
 
3.6%
199971.14619007 5
 
3.0%
203865.709970943 5
 
3.0%
200214.828933969 5
 
3.0%
200833.751922277 4
 
2.4%
203477.193426542 4
 
2.4%
201643.645893671 4
 
2.4%
Other values (70) 99
59.3%
(Missing) 7
 
4.2%
ValueCountFrequency (%)
198509.230480231 1
 
0.6%
198513.33078735 8
4.8%
198554.475266991 3
 
1.8%
198706.202365241 2
 
1.2%
198755.388956043 1
 
0.6%
198757.145597474 1
 
0.6%
199033.188343718 1
 
0.6%
199083.731558479 2
 
1.2%
199144.631348824 1
 
0.6%
199149.851990433 1
 
0.6%
ValueCountFrequency (%)
204093.536681239 2
 
1.2%
204042.638508999 1
 
0.6%
203976.509189755 1
 
0.6%
203908.342097327 7
4.2%
203891.041008756 2
 
1.2%
203865.709970943 5
3.0%
203812.719879169 1
 
0.6%
203687.36 1
 
0.6%
203677.975908541 1
 
0.6%
203494.359793635 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)50.0%
Missing7
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean442749.97
Minimum440256.5
Maximum446179.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:27:49.746440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440256.5
5-th percentile440561.9
Q1441674.89
median442505.08
Q3443683.21
95-th percentile445764.16
Maximum446179.31
Range5922.8081
Interquartile range (IQR)2008.3149

Descriptive statistics

Standard deviation1410.6262
Coefficient of variation (CV)0.0031860559
Kurtosis0.055817016
Mean442749.97
Median Absolute Deviation (MAD)868.17758
Skewness0.62892708
Sum70839996
Variance1989866.2
MonotonicityNot monotonic
2024-04-06T19:27:49.981351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443987.021242832 13
 
7.8%
442267.326128184 8
 
4.8%
440422.094963963 7
 
4.2%
446179.309516814 6
 
3.6%
441431.482365654 5
 
3.0%
441674.893877771 5
 
3.0%
442206.118999192 5
 
3.0%
443142.889069935 4
 
2.4%
440974.843776311 4
 
2.4%
445764.161880369 4
 
2.4%
Other values (70) 99
59.3%
(Missing) 7
 
4.2%
ValueCountFrequency (%)
440256.501465873 1
 
0.6%
440422.094963963 7
4.2%
440569.259053553 1
 
0.6%
440771.039835881 1
 
0.6%
440963.790624982 2
 
1.2%
440974.843776311 4
2.4%
441020.727254796 1
 
0.6%
441205.780183815 2
 
1.2%
441368.08319503 1
 
0.6%
441368.503459138 1
 
0.6%
ValueCountFrequency (%)
446179.309516814 6
3.6%
445764.161880369 4
2.4%
445640.808453095 1
 
0.6%
445533.225557562 1
 
0.6%
445359.548908557 1
 
0.6%
445310.978149977 1
 
0.6%
444519.267486166 1
 
0.6%
444504.112782023 1
 
0.6%
444477.511536329 1
 
0.6%
444454.44783447 1
 
0.6%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
분뇨등설계시공업관리
156 
<NA>
 
11

Length

Max length10
Median length10
Mean length9.6047904
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 156
93.4%
<NA> 11
 
6.6%

Length

2024-04-06T19:27:50.242134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:50.430701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 156
93.4%
na 11
 
6.6%

업종구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
113 
하수, 분뇨 및 축산폐기물 처리업
43 
폐기물 처리 및 오염방지시설 건설업
 
4
건물 건설업
 
2
분뇨 처리업
 
1
Other values (4)
 
4

Length

Max length19
Median length4
Mean length8.2035928
Min length4

Unique

Unique5 ?
Unique (%)3.0%

Sample

1st row하수, 분뇨 및 축산폐기물 처리업
2nd row하수, 분뇨 및 축산폐기물 처리업
3rd row하수, 분뇨 및 축산폐기물 처리업
4th row분뇨 처리업
5th row하수, 분뇨 및 축산폐기물 처리업

Common Values

ValueCountFrequency (%)
<NA> 113
67.7%
하수, 분뇨 및 축산폐기물 처리업 43
 
25.7%
폐기물 처리 및 오염방지시설 건설업 4
 
2.4%
건물 건설업 2
 
1.2%
분뇨 처리업 1
 
0.6%
그외 기타 산업용 중간재 도매업 1
 
0.6%
철근 및 철근 콘크리트 공사업 1
 
0.6%
건물설비 설치 공사업 1
 
0.6%
종합 건설업 1
 
0.6%

Length

2024-04-06T19:27:50.684524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:50.914640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
30.6%
및 48
13.0%
분뇨 44
 
11.9%
처리업 44
 
11.9%
축산폐기물 43
 
11.7%
하수 43
 
11.7%
건설업 7
 
1.9%
폐기물 4
 
1.1%
처리 4
 
1.1%
오염방지시설 4
 
1.1%
Other values (12) 15
 
4.1%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

배출시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
161 
0
 
6

Length

Max length4
Median length4
Mean length3.8922156
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
96.4%
0 6
 
3.6%

Length

2024-04-06T19:27:51.155168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:51.323087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
96.4%
0 6
 
3.6%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

방지시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
161 
0
 
6

Length

Max length4
Median length4
Mean length3.8922156
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
96.4%
0 6
 
3.6%

Length

2024-04-06T19:27:51.576509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:27:52.148829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
96.4%
0 6
 
3.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0321000032100005419830000219830803<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137030서울특별시 서초구 잠원동 50-2<NA><NA>롯데건설(주)2000-11-24 16:53:22I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업201293.260056446179.309517분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
1321000032100005419840000219841107<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1621-19서울특별시 서초구 서초중앙로6길 9 (서초동)<NA>(주)천지엔지니어링2003-08-06 21:20:28I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업201370.289889442687.40145분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
2321000032100005419870000419870721<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137030서울특별시 서초구 잠원동 35-32서울특별시 서초구 신반포로47길 33-8 (잠원동)<NA>한신공영(주)2002-12-06 11:30:30I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업201575.212859445533.225558분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
3321000032100005419890000619890220<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137723서울특별시 서초구 잠원동 50-2서울특별시 서초구 잠원로14길 29 (잠원동)<NA>롯데건설(주)2000-11-01 14:11:00I2018-08-31 23:59:59.0분뇨 처리업201293.260056446179.309517분뇨등설계시공업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
4321000032100005419890000719890314<NA>3폐업2폐업20030106<NA><NA><NA><NA><NA>137073서울특별시 서초구 서초동 1586-7서울특별시 서초구 효령로 267 (서초동)<NA>(주)우성건설2000-11-02 09:09:37I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업201119.56217442516.709171분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
5321000032100005419890000819890621<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137074서울특별시 서초구 서초동 1301-4서울특별시 서초구 사평대로 344 (서초동)<NA>금강종합건설(주)2003-01-24 09:42:44I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업201737.068586444519.267486분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
6321000032100005419920001419920214<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137132서울특별시 서초구 양재동 326-9<NA><NA>(주)가야환경2000-11-02 10:07:37I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업203494.359794440771.039836분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
7321000032100005419920001519920515<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1426-1<NA><NA>제이알건설(주)2000-11-02 11:35:55I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업201523.817375442288.685385분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
8321000032100005419920001619920909<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137071서울특별시 서초구 서초동 1647-2서울특별시 서초구 사임당로 105 (서초동)<NA>우주종합환경(주)2000-11-02 13:11:23I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업201814.998541443152.075646분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
9321000032100005419920001720000925<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>137074서울특별시 서초구 서초동 1309-2서울특별시 서초구 서초대로77길 59 (서초동)<NA>(주)선양엔지니어링2000-09-25 11:24:19I2018-08-31 23:59:59.0<NA>202051.750645444454.447834분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
157321000032100005420220000220220328<NA>1영업/정상11영업<NA><NA><NA><NA>02-2188-8700<NA><NA>서울특별시 서초구 서초동 1424-8 동명빌딩서울특별시 서초구 남부순환로 2471, 동명빌딩 (서초동)06725(주)동명엔터프라이즈2022-03-28 09:50:50I2021-12-02 21:00:00.0<NA>201762.897693442308.81457<NA><NA><NA><NA><NA><NA><NA><NA>
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