Overview

Dataset statistics

Number of variables33
Number of observations243
Missing cells3178
Missing cells (%)39.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.3 KiB
Average record size in memory279.5 B

Variable types

Categorical9
Numeric8
DateTime6
Unsupported4
Text6

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-19373/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 243 (100.0%) missing valuesMissing
폐업일자 has 198 (81.5%) missing valuesMissing
휴업시작일자 has 240 (98.8%) missing valuesMissing
휴업종료일자 has 240 (98.8%) missing valuesMissing
재개업일자 has 243 (100.0%) missing valuesMissing
전화번호 has 117 (48.1%) missing valuesMissing
소재지면적 has 243 (100.0%) missing valuesMissing
소재지우편번호 has 228 (93.8%) missing valuesMissing
지번주소 has 76 (31.3%) missing valuesMissing
도로명주소 has 49 (20.2%) missing valuesMissing
도로명우편번호 has 61 (25.1%) missing valuesMissing
좌표정보(X) has 22 (9.1%) missing valuesMissing
좌표정보(Y) has 22 (9.1%) missing valuesMissing
업종구분명 has 209 (86.0%) missing valuesMissing
주생산품명 has 243 (100.0%) missing valuesMissing
배출시설조업시간 has 194 (79.8%) missing valuesMissing
배출시설연간가동일수 has 171 (70.4%) missing valuesMissing
방지시설조업시간 has 203 (83.5%) missing valuesMissing
방지시설연간가동일수 has 176 (72.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 19 (7.8%) zerosZeros
배출시설연간가동일수 has 42 (17.3%) zerosZeros
방지시설조업시간 has 19 (7.8%) zerosZeros
방지시설연간가동일수 has 45 (18.5%) zerosZeros

Reproduction

Analysis started2024-05-11 08:39:06.314279
Analysis finished2024-05-11 08:39:06.905257
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3210000
243 

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 243
100.0%

Length

2024-05-11T17:39:06.953151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:07.019527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 243
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2100002 × 1017
Minimum3.2100002 × 1017
Maximum3.2100002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:07.101335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2100002 × 1017
5-th percentile3.2100002 × 1017
Q13.2100002 × 1017
median3.2100002 × 1017
Q33.2100002 × 1017
95-th percentile3.2100002 × 1017
Maximum3.2100002 × 1017
Range3300000
Interquartile range (IQR)849984

Descriptive statistics

Standard deviation705963.91
Coefficient of variation (CV)2.1992644 × 10-12
Kurtosis0.62042464
Mean3.2100002 × 1017
Median Absolute Deviation (MAD)499968
Skewness-1.0205632
Sum4.2160289 × 1018
Variance4.9838504 × 1011
MonotonicityStrictly increasing
2024-05-11T17:39:07.219985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000021199100001 1
 
0.4%
321000021201500093 1
 
0.4%
321000021201500095 1
 
0.4%
321000021201600001 1
 
0.4%
321000021201600003 1
 
0.4%
321000021201600004 1
 
0.4%
321000021201600005 1
 
0.4%
321000021201600006 1
 
0.4%
321000021201600007 1
 
0.4%
321000021201600008 1
 
0.4%
Other values (233) 233
95.9%
ValueCountFrequency (%)
321000021199100001 1
0.4%
321000021199200003 1
0.4%
321000021199200005 1
0.4%
321000021199300001 1
0.4%
321000021199500001 1
0.4%
321000021199600001 1
0.4%
321000021199800001 1
0.4%
321000021199800005 1
0.4%
321000021199800007 1
0.4%
321000021199900001 1
0.4%
ValueCountFrequency (%)
321000021202400001 1
0.4%
321000021202300006 1
0.4%
321000021202300005 1
0.4%
321000021202300004 1
0.4%
321000021202300003 1
0.4%
321000021202300002 1
0.4%
321000021202300001 1
0.4%
321000021202200027 1
0.4%
321000021202200026 1
0.4%
321000021202200025 1
0.4%

인허가일자
Date

Distinct166
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1991-02-21 00:00:00
Maximum2024-02-28 00:00:00
2024-05-11T17:39:07.352264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:39:07.500892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

영업상태코드
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
168 
3
33 
4
21 
5
 
15
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row3
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
1 168
69.1%
3 33
 
13.6%
4 21
 
8.6%
5 15
 
6.2%
2 6
 
2.5%

Length

2024-05-11T17:39:07.612109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:07.702547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 168
69.1%
3 33
 
13.6%
4 21
 
8.6%
5 15
 
6.2%
2 6
 
2.5%

영업상태명
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업/정상
168 
폐업
33 
취소/말소/만료/정지/중지
21 
제외/삭제/전출
 
15
휴업
 
6

Length

Max length14
Median length5
Mean length5.4814815
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제외/삭제/전출
2nd row폐업
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 168
69.1%
폐업 33
 
13.6%
취소/말소/만료/정지/중지 21
 
8.6%
제외/삭제/전출 15
 
6.2%
휴업 6
 
2.5%

Length

2024-05-11T17:39:07.815990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:07.912419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 168
69.1%
폐업 33
 
13.6%
취소/말소/만료/정지/중지 21
 
8.6%
제외/삭제/전출 15
 
6.2%
휴업 6
 
2.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
11
168 
2
33 
4
21 
5
 
15
1
 
6

Length

Max length2
Median length2
Mean length1.691358
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row2
3rd row4
4th row4
5th row2

Common Values

ValueCountFrequency (%)
11 168
69.1%
2 33
 
13.6%
4 21
 
8.6%
5 15
 
6.2%
1 6
 
2.5%

Length

2024-05-11T17:39:08.008831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:08.095876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 168
69.1%
2 33
 
13.6%
4 21
 
8.6%
5 15
 
6.2%
1 6
 
2.5%

상세영업상태명
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업
168 
폐업
33 
폐쇄
21 
제외사항
 
15
휴업
 
6

Length

Max length4
Median length2
Mean length2.1234568
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제외사항
2nd row폐업
3rd row폐쇄
4th row폐쇄
5th row폐업

Common Values

ValueCountFrequency (%)
영업 168
69.1%
폐업 33
 
13.6%
폐쇄 21
 
8.6%
제외사항 15
 
6.2%
휴업 6
 
2.5%

Length

2024-05-11T17:39:08.191342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:08.280772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 168
69.1%
폐업 33
 
13.6%
폐쇄 21
 
8.6%
제외사항 15
 
6.2%
휴업 6
 
2.5%

폐업일자
Date

MISSING 

Distinct43
Distinct (%)95.6%
Missing198
Missing (%)81.5%
Memory size2.0 KiB
Minimum2001-12-19 00:00:00
Maximum2023-06-27 00:00:00
2024-05-11T17:39:08.379034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:39:08.506117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

휴업시작일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing240
Missing (%)98.8%
Memory size2.0 KiB
Minimum2021-07-31 00:00:00
Maximum2023-03-24 00:00:00
2024-05-11T17:39:08.614969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:39:08.698277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing240
Missing (%)98.8%
Memory size2.0 KiB
Minimum2022-07-31 00:00:00
Maximum2024-12-31 00:00:00
2024-05-11T17:39:08.774399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:39:08.863110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

전화번호
Text

MISSING 

Distinct126
Distinct (%)100.0%
Missing117
Missing (%)48.1%
Memory size2.0 KiB
2024-05-11T17:39:09.120366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.02381
Min length7

Characters and Unicode

Total characters1263
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

Unique126 ?
Unique (%)100.0%

Sample

1st row02-599-2248
2nd row02-563-8200
3rd row572-4665
4th row02-574-2555
5th row02-588-2100
ValueCountFrequency (%)
02-6147-9304 1
 
0.8%
02-578-0503 1
 
0.8%
0221551234 1
 
0.8%
02-530-5000 1
 
0.8%
34732471 1
 
0.8%
02-2041-2801 1
 
0.8%
02-3460-5300 1
 
0.8%
02-3459-5311 1
 
0.8%
02-462-8889 1
 
0.8%
02-3475-2114 1
 
0.8%
Other values (116) 116
92.1%
2024-05-11T17:39:09.488978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 204
16.2%
2 178
14.1%
- 151
12.0%
5 128
10.1%
1 108
8.6%
4 96
7.6%
3 94
7.4%
8 88
7.0%
6 80
 
6.3%
7 78
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1112
88.0%
Dash Punctuation 151
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 204
18.3%
2 178
16.0%
5 128
11.5%
1 108
9.7%
4 96
8.6%
3 94
8.5%
8 88
7.9%
6 80
 
7.2%
7 78
 
7.0%
9 58
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 204
16.2%
2 178
14.1%
- 151
12.0%
5 128
10.1%
1 108
8.6%
4 96
7.6%
3 94
7.4%
8 88
7.0%
6 80
 
6.3%
7 78
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 204
16.2%
2 178
14.1%
- 151
12.0%
5 128
10.1%
1 108
8.6%
4 96
7.6%
3 94
7.4%
8 88
7.0%
6 80
 
6.3%
7 78
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)60.0%
Missing228
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean137369.33
Minimum137060
Maximum137786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:09.605039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137060
5-th percentile137067
Q1137070
median137180
Q3137746.5
95-th percentile137786
Maximum137786
Range726
Interquartile range (IQR)676.5

Descriptive statistics

Standard deviation334.24577
Coefficient of variation (CV)0.0024331906
Kurtosis-2.0399171
Mean137369.33
Median Absolute Deviation (MAD)110
Skewness0.42324544
Sum2060540
Variance111720.24
MonotonicityNot monotonic
2024-05-11T17:39:09.695834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
137070 4
 
1.6%
137786 2
 
0.8%
137722 2
 
0.8%
137180 2
 
0.8%
137771 1
 
0.4%
137783 1
 
0.4%
137140 1
 
0.4%
137060 1
 
0.4%
137130 1
 
0.4%
(Missing) 228
93.8%
ValueCountFrequency (%)
137060 1
 
0.4%
137070 4
1.6%
137130 1
 
0.4%
137140 1
 
0.4%
137180 2
0.8%
137722 2
0.8%
137771 1
 
0.4%
137783 1
 
0.4%
137786 2
0.8%
ValueCountFrequency (%)
137786 2
0.8%
137783 1
 
0.4%
137771 1
 
0.4%
137722 2
0.8%
137180 2
0.8%
137140 1
 
0.4%
137130 1
 
0.4%
137070 4
1.6%
137060 1
 
0.4%

지번주소
Text

MISSING 

Distinct154
Distinct (%)92.2%
Missing76
Missing (%)31.3%
Memory size2.0 KiB
2024-05-11T17:39:09.930340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length24.053892
Min length13

Characters and Unicode

Total characters4017
Distinct characters209
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

Unique142 ?
Unique (%)85.0%

Sample

1st row서울특별시 서초구 서초동 1584-9
2nd row서울특별시 서초구 잠원동 55-3
3rd row서울특별시 서초구 서초동 1593-8번지
4th row서울특별시 서초구 서초동 1327-1번지
5th row서울특별시 서초구 내곡동 13-1번지
ValueCountFrequency (%)
서울특별시 167
21.3%
서초구 164
20.9%
서초동 73
 
9.3%
양재동 32
 
4.1%
방배동 22
 
2.8%
우면동 11
 
1.4%
반포동 9
 
1.1%
잠원동 7
 
0.9%
내곡동 6
 
0.8%
염곡동 4
 
0.5%
Other values (252) 288
36.8%
2024-05-11T17:39:10.294327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
689
17.2%
서 421
 
10.5%
초 244
 
6.1%
동 177
 
4.4%
울 173
 
4.3%
시 170
 
4.2%
1 170
 
4.2%
구 168
 
4.2%
특 167
 
4.2%
별 167
 
4.2%
Other values (199) 1471
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2447
60.9%
Decimal Number 718
 
17.9%
Space Separator 689
 
17.2%
Dash Punctuation 127
 
3.2%
Uppercase Letter 21
 
0.5%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 421
17.2%
초 244
 
10.0%
동 177
 
7.2%
울 173
 
7.1%
시 170
 
6.9%
구 168
 
6.9%
특 167
 
6.8%
별 167
 
6.8%
재 36
 
1.5%
양 35
 
1.4%
Other values (172) 689
28.2%
Uppercase Letter
ValueCountFrequency (%)
W 4
19.0%
M 3
14.3%
A 3
14.3%
J 2
9.5%
T 2
9.5%
B 2
9.5%
O 1
 
4.8%
C 1
 
4.8%
R 1
 
4.8%
S 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 170
23.7%
3 90
12.5%
2 80
11.1%
5 80
11.1%
7 60
 
8.4%
6 56
 
7.8%
9 55
 
7.7%
4 54
 
7.5%
0 38
 
5.3%
8 35
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
689
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2447
60.9%
Common 1549
38.6%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 421
17.2%
초 244
 
10.0%
동 177
 
7.2%
울 173
 
7.1%
시 170
 
6.9%
구 168
 
6.9%
특 167
 
6.8%
별 167
 
6.8%
재 36
 
1.5%
양 35
 
1.4%
Other values (172) 689
28.2%
Common
ValueCountFrequency (%)
689
44.5%
1 170
 
11.0%
- 127
 
8.2%
3 90
 
5.8%
2 80
 
5.2%
5 80
 
5.2%
7 60
 
3.9%
6 56
 
3.6%
9 55
 
3.6%
4 54
 
3.5%
Other values (6) 88
 
5.7%
Latin
ValueCountFrequency (%)
W 4
19.0%
M 3
14.3%
A 3
14.3%
J 2
9.5%
T 2
9.5%
B 2
9.5%
O 1
 
4.8%
C 1
 
4.8%
R 1
 
4.8%
S 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2447
60.9%
ASCII 1570
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
689
43.9%
1 170
 
10.8%
- 127
 
8.1%
3 90
 
5.7%
2 80
 
5.1%
5 80
 
5.1%
7 60
 
3.8%
6 56
 
3.6%
9 55
 
3.5%
4 54
 
3.4%
Other values (17) 109
 
6.9%
Hangul
ValueCountFrequency (%)
서 421
17.2%
초 244
 
10.0%
동 177
 
7.2%
울 173
 
7.1%
시 170
 
6.9%
구 168
 
6.9%
특 167
 
6.8%
별 167
 
6.8%
재 36
 
1.5%
양 35
 
1.4%
Other values (172) 689
28.2%

도로명주소
Text

MISSING 

Distinct187
Distinct (%)96.4%
Missing49
Missing (%)20.2%
Memory size2.0 KiB
2024-05-11T17:39:10.551043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length30.561856
Min length21

Characters and Unicode

Total characters5929
Distinct characters278
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

Unique181 ?
Unique (%)93.3%

Sample

1st row서울특별시 서초구 잠원로 187 (잠원동)
2nd row서울특별시 서초구 반포대로18길 48, 현대자동차서비스 (서초동)
3rd row서울특별시 서초구 남부순환로342길 100-9 (양재동)
4th row서울특별시 서초구 양재대로 254 (염곡동)
5th row서울특별시 서초구 매헌로 19 (양재동)
ValueCountFrequency (%)
서울특별시 194
 
17.0%
서초구 191
 
16.7%
서초동 67
 
5.9%
반포동 39
 
3.4%
양재동 35
 
3.1%
방배동 25
 
2.2%
강남대로 22
 
1.9%
남부순환로 12
 
1.0%
반포대로 11
 
1.0%
서초중앙로 11
 
1.0%
Other values (368) 537
46.9%
2024-05-11T17:39:10.962678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
950
 
16.0%
서 516
 
8.7%
초 303
 
5.1%
동 211
 
3.6%
울 204
 
3.4%
) 200
 
3.4%
( 200
 
3.4%
시 199
 
3.4%
구 198
 
3.3%
특 194
 
3.3%
Other values (268) 2754
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3764
63.5%
Space Separator 950
 
16.0%
Decimal Number 646
 
10.9%
Close Punctuation 200
 
3.4%
Open Punctuation 200
 
3.4%
Other Punctuation 130
 
2.2%
Uppercase Letter 25
 
0.4%
Dash Punctuation 14
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 516
 
13.7%
초 303
 
8.0%
동 211
 
5.6%
울 204
 
5.4%
시 199
 
5.3%
구 198
 
5.3%
특 194
 
5.2%
별 194
 
5.2%
로 190
 
5.0%
대 94
 
2.5%
Other values (239) 1461
38.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
16.0%
W 4
16.0%
B 3
12.0%
M 3
12.0%
T 2
8.0%
J 2
8.0%
C 1
 
4.0%
G 1
 
4.0%
L 1
 
4.0%
R 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
1 135
20.9%
2 112
17.3%
3 71
11.0%
5 54
 
8.4%
7 54
 
8.4%
4 54
 
8.4%
6 49
 
7.6%
9 43
 
6.7%
0 40
 
6.2%
8 34
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 129
99.2%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
950
100.0%
Close Punctuation
ValueCountFrequency (%)
) 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3764
63.5%
Common 2140
36.1%
Latin 25
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 516
 
13.7%
초 303
 
8.0%
동 211
 
5.6%
울 204
 
5.4%
시 199
 
5.3%
구 198
 
5.3%
특 194
 
5.2%
별 194
 
5.2%
로 190
 
5.0%
대 94
 
2.5%
Other values (239) 1461
38.8%
Common
ValueCountFrequency (%)
950
44.4%
) 200
 
9.3%
( 200
 
9.3%
1 135
 
6.3%
, 129
 
6.0%
2 112
 
5.2%
3 71
 
3.3%
5 54
 
2.5%
7 54
 
2.5%
4 54
 
2.5%
Other values (6) 181
 
8.5%
Latin
ValueCountFrequency (%)
A 4
16.0%
W 4
16.0%
B 3
12.0%
M 3
12.0%
T 2
8.0%
J 2
8.0%
C 1
 
4.0%
G 1
 
4.0%
L 1
 
4.0%
R 1
 
4.0%
Other values (3) 3
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3764
63.5%
ASCII 2165
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
950
43.9%
) 200
 
9.2%
( 200
 
9.2%
1 135
 
6.2%
, 129
 
6.0%
2 112
 
5.2%
3 71
 
3.3%
5 54
 
2.5%
7 54
 
2.5%
4 54
 
2.5%
Other values (19) 206
 
9.5%
Hangul
ValueCountFrequency (%)
서 516
 
13.7%
초 303
 
8.0%
동 211
 
5.6%
울 204
 
5.4%
시 199
 
5.3%
구 198
 
5.3%
특 194
 
5.2%
별 194
 
5.2%
로 190
 
5.0%
대 94
 
2.5%
Other values (239) 1461
38.8%

도로명우편번호
Text

MISSING 

Distinct95
Distinct (%)52.2%
Missing61
Missing (%)25.1%
Memory size2.0 KiB
2024-05-11T17:39:11.206020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0659341
Min length5

Characters and Unicode

Total characters922
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

Unique56 ?
Unique (%)30.8%

Sample

1st row137-030
2nd row06652
3rd row06762
4th row06652
5th row06616
ValueCountFrequency (%)
06578 7
 
3.8%
06762 7
 
3.8%
06541 7
 
3.8%
06775 6
 
3.3%
06593 6
 
3.3%
06794 5
 
2.7%
06620 5
 
2.7%
06771 5
 
2.7%
06772 5
 
2.7%
06651 4
 
2.2%
Other values (85) 125
68.7%
2024-05-11T17:39:11.567893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 253
27.4%
0 211
22.9%
7 124
13.4%
5 97
 
10.5%
1 53
 
5.7%
2 47
 
5.1%
3 40
 
4.3%
9 34
 
3.7%
4 33
 
3.6%
8 27
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 919
99.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 253
27.5%
0 211
23.0%
7 124
13.5%
5 97
 
10.6%
1 53
 
5.8%
2 47
 
5.1%
3 40
 
4.4%
9 34
 
3.7%
4 33
 
3.6%
8 27
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 922
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 253
27.4%
0 211
22.9%
7 124
13.4%
5 97
 
10.5%
1 53
 
5.7%
2 47
 
5.1%
3 40
 
4.3%
9 34
 
3.7%
4 33
 
3.6%
8 27
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 253
27.4%
0 211
22.9%
7 124
13.4%
5 97
 
10.5%
1 53
 
5.7%
2 47
 
5.1%
3 40
 
4.3%
9 34
 
3.7%
4 33
 
3.6%
8 27
 
2.9%

사업장명
Text

Distinct235
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T17:39:11.744667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length10.921811
Min length3

Characters and Unicode

Total characters2654
Distinct characters326
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)93.4%

Sample

1st row(주)서초자동차
2nd row쌍용자동차강남사업소(주)
3rd row정풍자동차공업사
4th row(주)강남현대카독크
5th row국가정보원
ValueCountFrequency (%)
주식회사 6
 
1.9%
재단법인 4
 
1.3%
외교부 3
 
1.0%
르노삼성자동차지정정비센터 2
 
0.6%
마이스터모터스(주 2
 
0.6%
양재정비 2
 
0.6%
서초점 2
 
0.6%
서초 2
 
0.6%
사단법인 2
 
0.6%
더클래스효성(주 2
 
0.6%
Other values (275) 285
91.3%
2024-05-11T17:39:12.044257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 135
 
5.1%
) 134
 
5.0%
주 131
 
4.9%
스 72
 
2.7%
69
 
2.6%
서 66
 
2.5%
자 54
 
2.0%
동 53
 
2.0%
사 49
 
1.8%
터 40
 
1.5%
Other values (316) 1851
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2205
83.1%
Open Punctuation 144
 
5.4%
Close Punctuation 143
 
5.4%
Space Separator 69
 
2.6%
Decimal Number 45
 
1.7%
Uppercase Letter 20
 
0.8%
Lowercase Letter 11
 
0.4%
Other Symbol 9
 
0.3%
Other Punctuation 5
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 131
 
5.9%
스 72
 
3.3%
서 66
 
3.0%
자 54
 
2.4%
동 53
 
2.4%
사 49
 
2.2%
터 40
 
1.8%
초 35
 
1.6%
이 34
 
1.5%
리 34
 
1.5%
Other values (278) 1637
74.2%
Uppercase Letter
ValueCountFrequency (%)
R 4
20.0%
D 4
20.0%
T 2
10.0%
B 2
10.0%
N 1
 
5.0%
S 1
 
5.0%
F 1
 
5.0%
L 1
 
5.0%
C 1
 
5.0%
A 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
3 8
17.8%
2 8
17.8%
1 8
17.8%
7 5
11.1%
4 5
11.1%
6 4
8.9%
8 4
8.9%
9 2
 
4.4%
0 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
t 2
18.2%
u 2
18.2%
e 2
18.2%
l 1
9.1%
o 1
9.1%
i 1
9.1%
d 1
9.1%
k 1
9.1%
Open Punctuation
ValueCountFrequency (%)
( 135
93.8%
[ 9
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 134
93.7%
] 9
 
6.3%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2214
83.4%
Common 409
 
15.4%
Latin 31
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 131
 
5.9%
스 72
 
3.3%
서 66
 
3.0%
자 54
 
2.4%
동 53
 
2.4%
사 49
 
2.2%
터 40
 
1.8%
초 35
 
1.6%
이 34
 
1.5%
리 34
 
1.5%
Other values (279) 1646
74.3%
Latin
ValueCountFrequency (%)
R 4
 
12.9%
D 4
 
12.9%
t 2
 
6.5%
u 2
 
6.5%
e 2
 
6.5%
T 2
 
6.5%
B 2
 
6.5%
N 1
 
3.2%
S 1
 
3.2%
F 1
 
3.2%
Other values (10) 10
32.3%
Common
ValueCountFrequency (%)
( 135
33.0%
) 134
32.8%
69
16.9%
] 9
 
2.2%
[ 9
 
2.2%
3 8
 
2.0%
2 8
 
2.0%
1 8
 
2.0%
7 5
 
1.2%
4 5
 
1.2%
Other values (7) 19
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2205
83.1%
ASCII 440
 
16.6%
None 9
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 135
30.7%
) 134
30.5%
69
15.7%
] 9
 
2.0%
[ 9
 
2.0%
3 8
 
1.8%
2 8
 
1.8%
1 8
 
1.8%
7 5
 
1.1%
4 5
 
1.1%
Other values (27) 50
 
11.4%
Hangul
ValueCountFrequency (%)
주 131
 
5.9%
스 72
 
3.3%
서 66
 
3.0%
자 54
 
2.4%
동 53
 
2.4%
사 49
 
2.2%
터 40
 
1.8%
초 35
 
1.6%
이 34
 
1.5%
리 34
 
1.5%
Other values (278) 1637
74.2%
None
ValueCountFrequency (%)
㈜ 9
100.0%

최종수정일자
Date

UNIQUE 

Distinct243
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2001-09-21 13:48:11
Maximum2024-05-01 07:53:19
2024-05-11T17:39:12.169718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:39:12.494613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
U
197 
I
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 197
81.1%
I 46
 
18.9%

Length

2024-05-11T17:39:12.596715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:12.670392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 197
81.1%
i 46
 
18.9%

데이터갱신일자
Date

Distinct159
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-10-04 11:12:49
Maximum2023-12-05 00:03:00
2024-05-11T17:39:12.767573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:39:12.903555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct37
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
137 
부동산업
24 
자동차 종합 수리업
18 
사업시설 유지관리 서비스업
 
13
부동산 임대업
 
8
Other values (32)
43 

Length

Max length28
Median length4
Mean length6.0452675
Min length2

Unique

Unique26 ?
Unique (%)10.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 137
56.4%
부동산업 24
 
9.9%
자동차 종합 수리업 18
 
7.4%
사업시설 유지관리 서비스업 13
 
5.3%
부동산 임대업 8
 
3.3%
비주거용 건물 임대업 6
 
2.5%
기타 부동산 임대업 3
 
1.2%
부동산 관리업 2
 
0.8%
호텔업 2
 
0.8%
자동차 전문 수리업 2
 
0.8%
Other values (27) 28
 
11.5%

Length

2024-05-11T17:39:13.021405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 137
35.3%
자동차 26
 
6.7%
부동산업 24
 
6.2%
수리업 23
 
5.9%
종합 21
 
5.4%
임대업 17
 
4.4%
부동산 15
 
3.9%
서비스업 14
 
3.6%
사업시설 13
 
3.4%
유지관리 13
 
3.4%
Other values (50) 85
21.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)85.5%
Missing22
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean201664.06
Minimum198399.61
Maximum206164.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:13.133163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198399.61
5-th percentile198836.32
Q1200623.25
median201836.2
Q3202641.48
95-th percentile203908.34
Maximum206164.95
Range7765.3387
Interquartile range (IQR)2018.2256

Descriptive statistics

Standard deviation1561.6732
Coefficient of variation (CV)0.0077439339
Kurtosis-0.30630878
Mean201664.06
Median Absolute Deviation (MAD)959.88897
Skewness-0.1066484
Sum44567758
Variance2438823.1
MonotonicityNot monotonic
2024-05-11T17:39:13.255640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201037.91506609 4
 
1.6%
203059.646700644 4
 
1.6%
202399.766300947 3
 
1.2%
201155.882884131 3
 
1.2%
200250.447804795 3
 
1.2%
203908.342097327 2
 
0.8%
202641.479903564 2
 
0.8%
200403.913823457 2
 
0.8%
202072.94919822 2
 
0.8%
203392.793460583 2
 
0.8%
Other values (179) 194
79.8%
(Missing) 22
 
9.1%
ValueCountFrequency (%)
198399.608674928 1
0.4%
198409.59135773 1
0.4%
198428.39578533 2
0.8%
198481.663483901 1
0.4%
198503.942775331 1
0.4%
198519.520727263 1
0.4%
198644.624561 1
0.4%
198773.134206052 1
0.4%
198776.113460442 1
0.4%
198791.788015494 1
0.4%
ValueCountFrequency (%)
206164.94733122 1
0.4%
205574.72552838 1
0.4%
204987.559275404 1
0.4%
204840.45 2
0.8%
204254.391779039 1
0.4%
204145.059450769 1
0.4%
204011.828256987 1
0.4%
203988.350614408 2
0.8%
203908.342097327 2
0.8%
203891.041008756 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)85.5%
Missing22
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean442557.5
Minimum439200.98
Maximum451147.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:13.394930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439200.98
5-th percentile440056.27
Q1441309.86
median442572.9
Q3443676.12
95-th percentile444975.03
Maximum451147.6
Range11946.623
Interquartile range (IQR)2366.2547

Descriptive statistics

Standard deviation1607.7437
Coefficient of variation (CV)0.0036328469
Kurtosis2.6509223
Mean442557.5
Median Absolute Deviation (MAD)1146.1007
Skewness0.65770307
Sum97805207
Variance2584839.7
MonotonicityNot monotonic
2024-05-11T17:39:13.535289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442814.751994742 4
 
1.6%
439960.533113874 4
 
1.6%
441511.386500129 3
 
1.2%
442833.219360755 3
 
1.2%
444683.220506107 3
 
1.2%
440422.094963963 2
 
0.8%
442355.002431156 2
 
0.8%
443343.497359744 2
 
0.8%
440890.331828961 2
 
0.8%
440676.379919661 2
 
0.8%
Other values (179) 194
79.8%
(Missing) 22
 
9.1%
ValueCountFrequency (%)
439200.976773083 1
 
0.4%
439489.331732609 1
 
0.4%
439726.499941891 1
 
0.4%
439736.66357238 1
 
0.4%
439753.0 1
 
0.4%
439881.740443559 1
 
0.4%
439960.533113874 4
1.6%
439984.847528537 1
 
0.4%
440056.2719717 2
0.8%
440070.874222824 1
 
0.4%
ValueCountFrequency (%)
451147.599393096 1
0.4%
446367.501328438 1
0.4%
446268.294338007 1
0.4%
446202.471850496 1
0.4%
445666.908243581 1
0.4%
445386.91976277 1
0.4%
445356.849437051 1
0.4%
445241.8984183 1
0.4%
445059.75 2
0.8%
445026.538461296 1
0.4%

환경업무구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
126 
대기배출업소관리
117 

Length

Max length8
Median length4
Mean length5.9259259
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
51.9%
대기배출업소관리 117
48.1%

Length

2024-05-11T17:39:13.669802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:13.776056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
51.9%
대기배출업소관리 117
48.1%

업종구분명
Text

MISSING 

Distinct17
Distinct (%)50.0%
Missing209
Missing (%)86.0%
Memory size2.0 KiB
2024-05-11T17:39:13.932050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length9
Min length2

Characters and Unicode

Total characters306
Distinct characters63
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

Unique11 ?
Unique (%)32.4%

Sample

1st row자동차 종합 수리업
2nd row자동차 종합 수리업
3rd row자동차 종합 수리업
4th row자동차 종합 수리업
5th row시멘트 제조업
ValueCountFrequency (%)
자동차 11
13.3%
수리업 10
 
12.0%
종합 7
 
8.4%
임대업 5
 
6.0%
부동산업 5
 
6.0%
서비스업 5
 
6.0%
사업시설 4
 
4.8%
유지관리 4
 
4.8%
부동산 3
 
3.6%
건물 3
 
3.6%
Other values (22) 26
31.3%
2024-05-11T17:39:14.213684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
16.0%
업 34
 
11.1%
동 19
 
6.2%
리 15
 
4.9%
자 11
 
3.6%
차 11
 
3.6%
수 10
 
3.3%
부 8
 
2.6%
산 8
 
2.6%
비 8
 
2.6%
Other values (53) 133
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
83.7%
Space Separator 49
 
16.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 34
 
13.3%
동 19
 
7.4%
리 15
 
5.9%
자 11
 
4.3%
차 11
 
4.3%
수 10
 
3.9%
부 8
 
3.1%
산 8
 
3.1%
비 8
 
3.1%
합 7
 
2.7%
Other values (51) 125
48.8%
Space Separator
ValueCountFrequency (%)
49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
83.7%
Common 50
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 34
 
13.3%
동 19
 
7.4%
리 15
 
5.9%
자 11
 
4.3%
차 11
 
4.3%
수 10
 
3.9%
부 8
 
3.1%
산 8
 
3.1%
비 8
 
3.1%
합 7
 
2.7%
Other values (51) 125
48.8%
Common
ValueCountFrequency (%)
49
98.0%
, 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
83.7%
ASCII 50
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
98.0%
, 1
 
2.0%
Hangul
ValueCountFrequency (%)
업 34
 
13.3%
동 19
 
7.4%
리 15
 
5.9%
자 11
 
4.3%
차 11
 
4.3%
수 10
 
3.9%
부 8
 
3.1%
산 8
 
3.1%
비 8
 
3.1%
합 7
 
2.7%
Other values (51) 125
48.8%

종별명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
136 
5종
66 
4종
40 
3종
 
1

Length

Max length4
Median length4
Mean length3.1193416
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row5종
4th row5종
5th row4종

Common Values

ValueCountFrequency (%)
<NA> 136
56.0%
5종 66
27.2%
4종 40
 
16.5%
3종 1
 
0.4%

Length

2024-05-11T17:39:14.327983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:39:14.433952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
56.0%
5종 66
27.2%
4종 40
 
16.5%
3종 1
 
0.4%

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

배출시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)26.5%
Missing194
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean5.0918367
Minimum0
Maximum24
Zeros19
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:14.511844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q38
95-th percentile14.6
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8893207
Coefficient of variation (CV)1.1566201
Kurtosis2.4886277
Mean5.0918367
Median Absolute Deviation (MAD)4
Skewness1.421348
Sum249.5
Variance34.684099
MonotonicityNot monotonic
2024-05-11T17:39:14.611077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 19
 
7.8%
8.0 14
 
5.8%
4.0 2
 
0.8%
2.0 2
 
0.8%
6.0 2
 
0.8%
24.0 2
 
0.8%
10.0 2
 
0.8%
3.0 1
 
0.4%
0.5 1
 
0.4%
1.0 1
 
0.4%
Other values (3) 3
 
1.2%
(Missing) 194
79.8%
ValueCountFrequency (%)
0.0 19
7.8%
0.5 1
 
0.4%
1.0 1
 
0.4%
2.0 2
 
0.8%
3.0 1
 
0.4%
4.0 2
 
0.8%
6.0 2
 
0.8%
8.0 14
5.8%
10.0 2
 
0.8%
12.0 1
 
0.4%
ValueCountFrequency (%)
24.0 2
 
0.8%
15.0 1
 
0.4%
14.0 1
 
0.4%
12.0 1
 
0.4%
10.0 2
 
0.8%
8.0 14
5.8%
6.0 2
 
0.8%
4.0 2
 
0.8%
3.0 1
 
0.4%
2.0 2
 
0.8%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)19.4%
Missing171
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean114.125
Minimum0
Maximum365
Zeros42
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:14.700152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300
95-th percentile362.25
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation145.48336
Coefficient of variation (CV)1.274772
Kurtosis-1.4384521
Mean114.125
Median Absolute Deviation (MAD)0
Skewness0.63736367
Sum8217
Variance21165.407
MonotonicityNot monotonic
2024-05-11T17:39:14.822438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 42
 
17.3%
300 13
 
5.3%
365 4
 
1.6%
270 2
 
0.8%
360 2
 
0.8%
90 1
 
0.4%
250 1
 
0.4%
150 1
 
0.4%
110 1
 
0.4%
240 1
 
0.4%
Other values (4) 4
 
1.6%
(Missing) 171
70.4%
ValueCountFrequency (%)
0 42
17.3%
90 1
 
0.4%
110 1
 
0.4%
120 1
 
0.4%
125 1
 
0.4%
150 1
 
0.4%
190 1
 
0.4%
240 1
 
0.4%
250 1
 
0.4%
270 2
 
0.8%
ValueCountFrequency (%)
365 4
 
1.6%
360 2
 
0.8%
322 1
 
0.4%
300 13
5.3%
270 2
 
0.8%
250 1
 
0.4%
240 1
 
0.4%
190 1
 
0.4%
150 1
 
0.4%
125 1
 
0.4%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)32.5%
Missing203
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean12.1375
Minimum0
Maximum322
Zeros19
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:14.957793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.75
Q38
95-th percentile15.75
Maximum322
Range322
Interquartile range (IQR)8

Descriptive statistics

Standard deviation50.603155
Coefficient of variation (CV)4.169158
Kurtosis38.806624
Mean12.1375
Median Absolute Deviation (MAD)0.75
Skewness6.1898786
Sum485.5
Variance2560.6793
MonotonicityNot monotonic
2024-05-11T17:39:15.064579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 19
 
7.8%
8.0 10
 
4.1%
4.0 1
 
0.4%
3.0 1
 
0.4%
30.0 1
 
0.4%
0.5 1
 
0.4%
1.0 1
 
0.4%
2.0 1
 
0.4%
6.0 1
 
0.4%
322.0 1
 
0.4%
Other values (3) 3
 
1.2%
(Missing) 203
83.5%
ValueCountFrequency (%)
0.0 19
7.8%
0.5 1
 
0.4%
1.0 1
 
0.4%
2.0 1
 
0.4%
3.0 1
 
0.4%
4.0 1
 
0.4%
6.0 1
 
0.4%
8.0 10
4.1%
10.0 1
 
0.4%
12.0 1
 
0.4%
ValueCountFrequency (%)
322.0 1
 
0.4%
30.0 1
 
0.4%
15.0 1
 
0.4%
12.0 1
 
0.4%
10.0 1
 
0.4%
8.0 10
4.1%
6.0 1
 
0.4%
4.0 1
 
0.4%
3.0 1
 
0.4%
2.0 1
 
0.4%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)14.9%
Missing176
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean90.298507
Minimum0
Maximum365
Zeros45
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T17:39:15.161699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255
95-th percentile300
Maximum365
Range365
Interquartile range (IQR)255

Descriptive statistics

Standard deviation136.07841
Coefficient of variation (CV)1.506984
Kurtosis-0.93347252
Mean90.298507
Median Absolute Deviation (MAD)0
Skewness0.96149368
Sum6050
Variance18517.334
MonotonicityNot monotonic
2024-05-11T17:39:15.257650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 45
 
18.5%
300 12
 
4.9%
270 2
 
0.8%
365 2
 
0.8%
200 1
 
0.4%
360 1
 
0.4%
150 1
 
0.4%
110 1
 
0.4%
240 1
 
0.4%
120 1
 
0.4%
(Missing) 176
72.4%
ValueCountFrequency (%)
0 45
18.5%
110 1
 
0.4%
120 1
 
0.4%
150 1
 
0.4%
200 1
 
0.4%
240 1
 
0.4%
270 2
 
0.8%
300 12
 
4.9%
360 1
 
0.4%
365 2
 
0.8%
ValueCountFrequency (%)
365 2
 
0.8%
360 1
 
0.4%
300 12
 
4.9%
270 2
 
0.8%
240 1
 
0.4%
200 1
 
0.4%
150 1
 
0.4%
120 1
 
0.4%
110 1
 
0.4%
0 45
18.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0321000032100002119910000119910221<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA><NA><NA>137786서울특별시 서초구 서초동 1584-9<NA><NA>(주)서초자동차2022-11-29 14:42:29U2021-11-02 00:01:00.0<NA>201020.968322442534.418196<NA><NA><NA><NA><NA><NA><NA><NA>
132100003210000211992000031992-03-25<NA>3폐업2폐업2020-09-30<NA><NA><NA>02-599-2248<NA><NA>서울특별시 서초구 잠원동 55-3서울특별시 서초구 잠원로 187 (잠원동)137-030쌍용자동차강남사업소(주)2024-01-17 17:55:01U2023-11-30 23:09:00.0<NA>201030.519773446367.501328<NA><NA><NA><NA><NA><NA><NA><NA>
2321000032100002119920000520020103<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA>137786서울특별시 서초구 서초동 1593-8번지<NA><NA>정풍자동차공업사2002-01-03 17:20:03I2018-10-04 11:12:49.0자동차 종합 수리업201079.25942442735.634903대기배출업소관리자동차 종합 수리업5종<NA>8.03008.0300
3321000032100002119930000120030805<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA>137771서울특별시 서초구 서초동 1327-1번지<NA><NA>(주)강남현대카독크2003-08-05 10:51:54I2018-10-04 11:12:49.0자동차 종합 수리업202349.122501443736.168682대기배출업소관리자동차 종합 수리업5종<NA>0.000.00
4321000032100002119950000119950106<NA>3폐업2폐업20081218<NA><NA><NA><NA><NA><NA>서울특별시 서초구 내곡동 13-1번지<NA><NA>국가정보원2008-12-19 10:04:44I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA>4종<NA>0.000.00
5321000032100002119960000120081111<NA>1영업/정상11영업<NA><NA><NA><NA>02-563-8200<NA><NA>서울특별시 서초구 서초동 1593-3 현대자동차서비스서울특별시 서초구 반포대로18길 48, 현대자동차서비스 (서초동)06652선진자동차공업(주)서초점2021-12-17 09:06:57U2021-12-19 02:40:00.0<NA>201066.290956442769.227364대기배출업소관리<NA>5종<NA>8.03008.0300
6321000032100002119980000120030214<NA>4취소/말소/만료/정지/중지4폐쇄20030214<NA><NA><NA><NA><NA>137722서울특별시 서초구 양재동 397-10번지<NA><NA>양재자동차공업사2003-02-14 15:16:18I2018-10-04 11:12:49.0자동차 종합 수리업204145.059451441071.240473대기배출업소관리자동차 종합 수리업5종<NA>0.000.00
732100003210000211998000051998-08-22<NA>1영업/정상11영업<NA><NA><NA><NA>572-4665<NA><NA>서울특별시 서초구 양재동 189-1서울특별시 서초구 남부순환로342길 100-9 (양재동)06762양재현대서비스(주)2023-03-30 17:02:22U2022-12-04 00:01:00.0자동차 종합 수리업202399.766301441511.3865<NA><NA><NA><NA><NA><NA><NA><NA>
8321000032100002119980000720011228<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA>137722서울특별시 서초구 양재동 261-8번지<NA><NA>삼양자동차공업(주)2001-12-28 11:46:42I2018-10-04 11:12:49.0자동차 종합 수리업203598.279879441426.799433대기배출업소관리자동차 종합 수리업5종<NA>0.000.00
932100003210000211999000011999-02-11<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-574-2555<NA><NA>서울특별시 서초구 염곡동 300-1서울특별시 서초구 양재대로 254 (염곡동)<NA>삼성여객자동차(주)2024-05-01 07:53:19U2023-12-05 00:03:00.0<NA>203988.350614440490.033216<NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
233321000032100002120220002520221215<NA>1영업/정상11영업<NA><NA><NA><NA>025263118<NA><NA>서울특별시 서초구 양재동 60 일동홀딩스(주)사옥서울특별시 서초구 바우뫼로27길 2, 일동홀딩스(주)사옥 (양재동)06752일동홀딩스(주)2023-01-12 11:16:57U2022-11-30 23:04:00.0부동산업203215.475744441707.758093<NA><NA><NA><NA><NA><NA><NA><NA>
234321000032100002120220002620221219<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 217-7 쌍용자동차(주)화물터미널 2층서울특별시 서초구 매헌로 19, 쌍용자동차(주)화물터미널 2층 (양재동)06772마이스터모터스(주) 서초양재2F2023-01-12 10:48:41U2022-11-30 23:04:00.0자동차 수리업203060.57146440056.271972<NA><NA><NA><NA><NA><NA><NA><NA>
235321000032100002120220002720221221<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1358-6 송남빌딩서울특별시 서초구 강남대로 273, 송남빌딩 (서초동)06730해상산업(주)송남빌딩2022-12-21 14:26:43I2021-11-01 22:03:00.0사업시설 유지관리 서비스업202758.71151442815.347406<NA><NA><NA><NA><NA><NA><NA><NA>
23632100003210000212023000012023-02-28<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 내곡동 347-4<NA><NA>서전문화재단법인2023-06-15 09:42:19U2022-12-05 23:07:00.0도서관, 기록보존소, 박물관 및 기타 문화관련 산업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23732100003210000212023000022023-04-27<NA>1영업/정상11영업<NA><NA><NA><NA>0234812426<NA><NA>서울특별시 서초구 서초동 1304-3 남서울빌딩서울특별시 서초구 강남대로 447, 남서울빌딩 (서초동)06611남서울빌딩2023-08-16 11:03:36U2022-12-07 23:08:00.0부동산업202137.581932444438.154651<NA><NA><NA><NA><NA><NA><NA><NA>
23832100003210000212023000032023-04-27<NA>1영업/정상11영업<NA><NA><NA><NA>025222076<NA><NA>서울특별시 서초구 서초동 1599-11 리더스빌딩서울특별시 서초구 서초중앙로 63, 리더스빌딩 (서초동)06651리더스빌딩자치회2023-05-26 13:51:27U2022-12-04 22:08:00.0부동산업201208.493843442790.939502<NA><NA><NA><NA><NA><NA><NA><NA>
23932100003210000212023000042023-05-31<NA>1영업/정상11영업<NA><NA><NA><NA>02-6953-1340<NA><NA>서울특별시 서초구 서초동 1445-1서울특별시 서초구 효령로 310, 해링턴타워 관리사무소 (서초동)06720㈜아스타아이비에스 해링턴타워 관리사무소2024-03-25 17:11:13U2023-12-02 22:07:00.0부동산업201539.425545442552.422919<NA><NA><NA><NA><NA><NA><NA><NA>
24032100003210000212023000052023-06-21<NA>1영업/정상11영업<NA><NA><NA><NA>025369890<NA><NA>서울특별시 서초구 서초동 1316-5 부띠크 모나코서울특별시 서초구 서초대로 397, 부띠크 모나코 (서초동)06616부띠크모나코 관리단협의회2023-06-29 13:33:48U2022-12-07 00:01:00.0사업시설 유지관리 서비스업202099.25278443921.619035<NA><NA><NA><NA><NA><NA><NA><NA>
24132100003210000212023000062023-07-28<NA>1영업/정상11영업<NA><NA><NA><NA>02-521-0269<NA><NA>서울특별시 서초구 서초동 1553-5 오퓨런스 1801호서울특별시 서초구 서초대로 254, 오퓨런스 18층 1801호 (서초동)06647(주)덕화아이엔디(오퓨런스빌딩)2023-07-31 14:13:42I2022-12-08 00:02:00.0기타 부동산 임대업200781.809874443312.567373<NA><NA><NA><NA><NA><NA><NA><NA>
24232100003210000212024000012024-02-28<NA>1영업/정상11영업<NA><NA><NA><NA>5221341<NA><NA>서울특별시 서초구 서초동 1536-7서울특별시 서초구 반포대로 63 (서초동)<NA>진석실업(주)2024-03-04 15:19:47U2023-12-03 00:06:00.0부동산업200802.627198442654.523593<NA><NA><NA><NA><NA><NA><NA><NA>