Overview

Dataset statistics

Number of variables33
Number of observations66
Missing cells751
Missing cells (%)34.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.3 KiB
Average record size in memory284.0 B

Variable types

Categorical8
Numeric9
DateTime4
Unsupported6
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-19372/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (60.8%)Imbalance
영업상태명 is highly imbalanced (60.8%)Imbalance
상세영업상태코드 is highly imbalanced (60.8%)Imbalance
상세영업상태명 is highly imbalanced (60.8%)Imbalance
인허가취소일자 has 66 (100.0%) missing valuesMissing
폐업일자 has 61 (92.4%) missing valuesMissing
휴업시작일자 has 66 (100.0%) missing valuesMissing
휴업종료일자 has 66 (100.0%) missing valuesMissing
재개업일자 has 66 (100.0%) missing valuesMissing
전화번호 has 18 (27.3%) missing valuesMissing
소재지면적 has 66 (100.0%) missing valuesMissing
소재지우편번호 has 46 (69.7%) missing valuesMissing
지번주소 has 1 (1.5%) missing valuesMissing
도로명주소 has 11 (16.7%) missing valuesMissing
도로명우편번호 has 30 (45.5%) missing valuesMissing
업태구분명 has 17 (25.8%) missing valuesMissing
좌표정보(X) has 9 (13.6%) missing valuesMissing
좌표정보(Y) has 9 (13.6%) missing valuesMissing
업종구분명 has 28 (42.4%) missing valuesMissing
주생산품명 has 66 (100.0%) missing valuesMissing
배출시설조업시간 has 34 (51.5%) missing valuesMissing
배출시설연간가동일수 has 27 (40.9%) missing valuesMissing
방지시설조업시간 has 36 (54.5%) missing valuesMissing
방지시설연간가동일수 has 28 (42.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 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
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 15 (22.7%) zerosZeros
배출시설연간가동일수 has 21 (31.8%) zerosZeros
방지시설조업시간 has 16 (24.2%) zerosZeros
방지시설연간가동일수 has 20 (30.3%) zerosZeros

Reproduction

Analysis started2024-05-11 04:59:28.073633
Analysis finished2024-05-11 04:59:29.152081
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
3200000
66 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 66
100.0%

Length

2024-05-11T04:59:29.357953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:29.685012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 66
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2000002 × 1017
Minimum3.2000002 × 1017
Maximum3.2000002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:30.082904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2000002 × 1017
5-th percentile3.2000002 × 1017
Q13.2000002 × 1017
median3.2000002 × 1017
Q33.2000002 × 1017
95-th percentile3.2000002 × 1017
Maximum3.2000002 × 1017
Range1.928 × 108
Interquartile range (IQR)1100032

Descriptive statistics

Standard deviation23601001
Coefficient of variation (CV)7.3753123 × 10-11
Kurtosis65.824964
Mean3.2000002 × 1017
Median Absolute Deviation (MAD)600000
Skewness-8.1081389
Sum2.6732573 × 1018
Variance5.5700724 × 1014
MonotonicityStrictly increasing
2024-05-11T04:59:30.805528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320000021009400001 1
 
1.5%
320000021201500023 1
 
1.5%
320000021201500009 1
 
1.5%
320000021201500010 1
 
1.5%
320000021201500011 1
 
1.5%
320000021201500012 1
 
1.5%
320000021201500013 1
 
1.5%
320000021201500014 1
 
1.5%
320000021201500015 1
 
1.5%
320000021201500016 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
320000021009400001 1
1.5%
320000021199200001 1
1.5%
320000021199400001 1
1.5%
320000021199400002 1
1.5%
320000021199500001 1
1.5%
320000021199500002 1
1.5%
320000021199800001 1
1.5%
320000021199900001 1
1.5%
320000021199900002 1
1.5%
320000021199900003 1
1.5%
ValueCountFrequency (%)
320000021202200002 1
1.5%
320000021202200001 1
1.5%
320000021202100005 1
1.5%
320000021202100004 1
1.5%
320000021202100003 1
1.5%
320000021202100002 1
1.5%
320000021202100001 1
1.5%
320000021202000002 1
1.5%
320000021202000001 1
1.5%
320000021201800002 1
1.5%

인허가일자
Date

Distinct46
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum1992-11-14 00:00:00
Maximum2022-11-09 00:00:00
2024-05-11T04:59:31.439364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:59:32.074826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
57 
5
 
4
3
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
86.4%
5 4
 
6.1%
3 3
 
4.5%
4 2
 
3.0%

Length

2024-05-11T04:59:32.615104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:33.017555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
86.4%
5 4
 
6.1%
3 3
 
4.5%
4 2
 
3.0%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업/정상
57 
제외/삭제/전출
 
4
폐업
 
3
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length5.3181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 57
86.4%
제외/삭제/전출 4
 
6.1%
폐업 3
 
4.5%
취소/말소/만료/정지/중지 2
 
3.0%

Length

2024-05-11T04:59:33.415038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:33.793799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 57
86.4%
제외/삭제/전출 4
 
6.1%
폐업 3
 
4.5%
취소/말소/만료/정지/중지 2
 
3.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
11
57 
5
 
4
2
 
3
4
 
2

Length

Max length2
Median length2
Mean length1.8636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 57
86.4%
5 4
 
6.1%
2 3
 
4.5%
4 2
 
3.0%

Length

2024-05-11T04:59:34.342010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:34.653853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 57
86.4%
5 4
 
6.1%
2 3
 
4.5%
4 2
 
3.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업
57 
제외사항
 
4
폐업
 
3
폐쇄
 
2

Length

Max length4
Median length2
Mean length2.1212121
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 57
86.4%
제외사항 4
 
6.1%
폐업 3
 
4.5%
폐쇄 2
 
3.0%

Length

2024-05-11T04:59:35.086508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:35.548295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 57
86.4%
제외사항 4
 
6.1%
폐업 3
 
4.5%
폐쇄 2
 
3.0%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing61
Missing (%)92.4%
Memory size660.0 B
Minimum2000-10-27 00:00:00
Maximum2023-05-02 00:00:00
2024-05-11T04:59:35.992181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:59:36.467266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

전화번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing18
Missing (%)27.3%
Memory size660.0 B
2024-05-11T04:59:36.997238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8333333
Min length7

Characters and Unicode

Total characters472
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row02 8710071
2nd row02 8829889
3rd row02 8770024
4th row02 8805500
5th row8731155
ValueCountFrequency (%)
02 10
 
17.2%
882-1111 1
 
1.7%
881-9122 1
 
1.7%
070-4665-9026 1
 
1.7%
829-0112~3 1
 
1.7%
829-2119 1
 
1.7%
876-0696 1
 
1.7%
801-5264 1
 
1.7%
886-9990 1
 
1.7%
881-9013 1
 
1.7%
Other values (39) 39
67.2%
2024-05-11T04:59:38.533417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 80
16.9%
0 75
15.9%
2 54
11.4%
- 46
9.7%
1 42
8.9%
9 33
7.0%
5 33
7.0%
6 33
7.0%
7 25
 
5.3%
3 19
 
4.0%
Other values (4) 32
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 409
86.7%
Dash Punctuation 46
 
9.7%
Space Separator 11
 
2.3%
Close Punctuation 5
 
1.1%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 80
19.6%
0 75
18.3%
2 54
13.2%
1 42
10.3%
9 33
8.1%
5 33
8.1%
6 33
8.1%
7 25
 
6.1%
3 19
 
4.6%
4 15
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 80
16.9%
0 75
15.9%
2 54
11.4%
- 46
9.7%
1 42
8.9%
9 33
7.0%
5 33
7.0%
6 33
7.0%
7 25
 
5.3%
3 19
 
4.0%
Other values (4) 32
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 80
16.9%
0 75
15.9%
2 54
11.4%
- 46
9.7%
1 42
8.9%
9 33
7.0%
5 33
7.0%
6 33
7.0%
7 25
 
5.3%
3 19
 
4.0%
Other values (4) 32
 
6.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)50.0%
Missing46
Missing (%)69.7%
Infinite0
Infinite (%)0.0%
Mean151066.9
Minimum151010
Maximum151742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:38.950876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151010
5-th percentile151010
Q1151012
median151024
Q3151055.5
95-th percentile151102.65
Maximum151742
Range732
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation160.4982
Coefficient of variation (CV)0.0010624313
Kurtosis19.084585
Mean151066.9
Median Absolute Deviation (MAD)14
Skewness4.3269969
Sum3021338
Variance25759.674
MonotonicityNot monotonic
2024-05-11T04:59:39.594978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
151012 6
 
9.1%
151010 3
 
4.5%
151054 2
 
3.0%
151069 2
 
3.0%
151029 2
 
3.0%
151050 1
 
1.5%
151060 1
 
1.5%
151742 1
 
1.5%
151019 1
 
1.5%
151061 1
 
1.5%
(Missing) 46
69.7%
ValueCountFrequency (%)
151010 3
4.5%
151012 6
9.1%
151019 1
 
1.5%
151029 2
 
3.0%
151050 1
 
1.5%
151054 2
 
3.0%
151060 1
 
1.5%
151061 1
 
1.5%
151069 2
 
3.0%
151742 1
 
1.5%
ValueCountFrequency (%)
151742 1
 
1.5%
151069 2
 
3.0%
151061 1
 
1.5%
151060 1
 
1.5%
151054 2
 
3.0%
151050 1
 
1.5%
151029 2
 
3.0%
151019 1
 
1.5%
151012 6
9.1%
151010 3
4.5%

지번주소
Text

MISSING 

Distinct53
Distinct (%)81.5%
Missing1
Missing (%)1.5%
Memory size660.0 B
2024-05-11T04:59:40.289352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length23.107692
Min length17

Characters and Unicode

Total characters1502
Distinct characters71
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

Unique45 ?
Unique (%)69.2%

Sample

1st row서울특별시 관악구 봉천동 912-8번지
2nd row서울특별시 관악구 봉천동 861-7번지
3rd row서울특별시 관악구 봉천동 875-4번지 17
4th row서울특별시 관악구 봉천동 912-8번지
5th row서울특별시 관악구 신림동 산 56-1번지
ValueCountFrequency (%)
서울특별시 65
21.8%
관악구 65
21.8%
신림동 43
14.4%
봉천동 20
 
6.7%
산 13
 
4.4%
56-1 9
 
3.0%
번지 9
 
3.0%
56-1번지 3
 
1.0%
131-3 2
 
0.7%
남현동 2
 
0.7%
Other values (62) 67
22.5%
2024-05-11T04:59:41.407449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
19.6%
1 82
 
5.5%
서 71
 
4.7%
관 70
 
4.7%
울 69
 
4.6%
악 68
 
4.5%
특 66
 
4.4%
별 66
 
4.4%
시 66
 
4.4%
구 66
 
4.4%
Other values (61) 584
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 865
57.6%
Space Separator 294
 
19.6%
Decimal Number 284
 
18.9%
Dash Punctuation 59
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 71
 
8.2%
관 70
 
8.1%
울 69
 
8.0%
악 68
 
7.9%
특 66
 
7.6%
별 66
 
7.6%
시 66
 
7.6%
구 66
 
7.6%
동 66
 
7.6%
신 44
 
5.1%
Other values (49) 213
24.6%
Decimal Number
ValueCountFrequency (%)
1 82
28.9%
2 41
14.4%
6 34
12.0%
5 26
 
9.2%
4 23
 
8.1%
7 19
 
6.7%
3 18
 
6.3%
9 15
 
5.3%
0 14
 
4.9%
8 12
 
4.2%
Space Separator
ValueCountFrequency (%)
294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 865
57.6%
Common 637
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 71
 
8.2%
관 70
 
8.1%
울 69
 
8.0%
악 68
 
7.9%
특 66
 
7.6%
별 66
 
7.6%
시 66
 
7.6%
구 66
 
7.6%
동 66
 
7.6%
신 44
 
5.1%
Other values (49) 213
24.6%
Common
ValueCountFrequency (%)
294
46.2%
1 82
 
12.9%
- 59
 
9.3%
2 41
 
6.4%
6 34
 
5.3%
5 26
 
4.1%
4 23
 
3.6%
7 19
 
3.0%
3 18
 
2.8%
9 15
 
2.4%
Other values (2) 26
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 865
57.6%
ASCII 637
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
46.2%
1 82
 
12.9%
- 59
 
9.3%
2 41
 
6.4%
6 34
 
5.3%
5 26
 
4.1%
4 23
 
3.6%
7 19
 
3.0%
3 18
 
2.8%
9 15
 
2.4%
Other values (2) 26
 
4.1%
Hangul
ValueCountFrequency (%)
서 71
 
8.2%
관 70
 
8.1%
울 69
 
8.0%
악 68
 
7.9%
특 66
 
7.6%
별 66
 
7.6%
시 66
 
7.6%
구 66
 
7.6%
동 66
 
7.6%
신 44
 
5.1%
Other values (49) 213
24.6%

도로명주소
Text

MISSING 

Distinct45
Distinct (%)81.8%
Missing11
Missing (%)16.7%
Memory size660.0 B
2024-05-11T04:59:42.027888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length29.072727
Min length21

Characters and Unicode

Total characters1599
Distinct characters136
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

Unique39 ?
Unique (%)70.9%

Sample

1st row서울특별시 관악구 봉천로 412 (봉천동)
2nd row서울특별시 관악구 봉천로 472 (봉천동)
3rd row서울특별시 관악구 관악로17길 38 (봉천동,17)
4th row서울특별시 관악구 봉천로 412 (봉천동)
5th row서울특별시 관악구 관악로 1 (신림동)
ValueCountFrequency (%)
서울특별시 55
17.5%
관악구 55
17.5%
신림동 35
 
11.1%
봉천동 16
 
5.1%
관악로 15
 
4.8%
1 14
 
4.5%
서울대학교 8
 
2.5%
신림로 7
 
2.2%
봉천로 5
 
1.6%
남부순환로 5
 
1.6%
Other values (86) 99
31.5%
2024-05-11T04:59:43.081385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
16.8%
관 79
 
4.9%
악 77
 
4.8%
서 68
 
4.3%
울 67
 
4.2%
구 60
 
3.8%
동 57
 
3.6%
시 56
 
3.5%
별 56
 
3.5%
특 56
 
3.5%
Other values (126) 754
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1019
63.7%
Space Separator 269
 
16.8%
Decimal Number 155
 
9.7%
Close Punctuation 56
 
3.5%
Open Punctuation 56
 
3.5%
Other Punctuation 37
 
2.3%
Uppercase Letter 4
 
0.3%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 79
 
7.8%
악 77
 
7.6%
서 68
 
6.7%
울 67
 
6.6%
구 60
 
5.9%
동 57
 
5.6%
시 56
 
5.5%
별 56
 
5.5%
특 56
 
5.5%
로 54
 
5.3%
Other values (108) 389
38.2%
Decimal Number
ValueCountFrequency (%)
1 45
29.0%
3 20
12.9%
2 15
 
9.7%
0 14
 
9.0%
8 13
 
8.4%
4 12
 
7.7%
9 10
 
6.5%
6 9
 
5.8%
5 9
 
5.8%
7 8
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
T 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
269
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1019
63.7%
Common 576
36.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 79
 
7.8%
악 77
 
7.6%
서 68
 
6.7%
울 67
 
6.6%
구 60
 
5.9%
동 57
 
5.6%
시 56
 
5.5%
별 56
 
5.5%
특 56
 
5.5%
로 54
 
5.3%
Other values (108) 389
38.2%
Common
ValueCountFrequency (%)
269
46.7%
) 56
 
9.7%
( 56
 
9.7%
1 45
 
7.8%
, 37
 
6.4%
3 20
 
3.5%
2 15
 
2.6%
0 14
 
2.4%
8 13
 
2.3%
4 12
 
2.1%
Other values (5) 39
 
6.8%
Latin
ValueCountFrequency (%)
K 2
50.0%
T 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1019
63.7%
ASCII 580
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
46.4%
) 56
 
9.7%
( 56
 
9.7%
1 45
 
7.8%
, 37
 
6.4%
3 20
 
3.4%
2 15
 
2.6%
0 14
 
2.4%
8 13
 
2.2%
4 12
 
2.1%
Other values (8) 43
 
7.4%
Hangul
ValueCountFrequency (%)
관 79
 
7.8%
악 77
 
7.6%
서 68
 
6.7%
울 67
 
6.6%
구 60
 
5.9%
동 57
 
5.6%
시 56
 
5.5%
별 56
 
5.5%
특 56
 
5.5%
로 54
 
5.3%
Other values (108) 389
38.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)61.1%
Missing30
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean12742.194
Minimum8708
Maximum151013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:43.507087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8708
5-th percentile8708
Q18771
median8802.5
Q38826
95-th percentile8849.5
Maximum151013
Range142305
Interquartile range (IQR)55

Descriptive statistics

Standard deviation23703.602
Coefficient of variation (CV)1.8602448
Kurtosis35.999769
Mean12742.194
Median Absolute Deviation (MAD)24.5
Skewness5.999972
Sum458719
Variance5.6186073 × 108
MonotonicityNot monotonic
2024-05-11T04:59:44.019549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
8826 10
 
15.2%
8708 4
 
6.1%
8776 2
 
3.0%
8777 2
 
3.0%
8754 1
 
1.5%
8806 1
 
1.5%
8755 1
 
1.5%
8808 1
 
1.5%
8825 1
 
1.5%
8787 1
 
1.5%
Other values (12) 12
 
18.2%
(Missing) 30
45.5%
ValueCountFrequency (%)
8708 4
6.1%
8749 1
 
1.5%
8754 1
 
1.5%
8755 1
 
1.5%
8766 1
 
1.5%
8768 1
 
1.5%
8772 1
 
1.5%
8776 2
3.0%
8777 2
3.0%
8779 1
 
1.5%
ValueCountFrequency (%)
151013 1
 
1.5%
8854 1
 
1.5%
8848 1
 
1.5%
8832 1
 
1.5%
8826 10
15.2%
8825 1
 
1.5%
8813 1
 
1.5%
8808 1
 
1.5%
8806 1
 
1.5%
8799 1
 
1.5%

사업장명
Text

Distinct58
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T04:59:44.550071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length10.409091
Min length3

Characters and Unicode

Total characters687
Distinct characters166
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

Unique53 ?
Unique (%)80.3%

Sample

1st row안전자동차공업사
2nd row봉천자동차공업사
3rd row관악카독크
4th row안전자동차공업사
5th row서울대학교
ValueCountFrequency (%)
서울대학교 5
 
5.8%
관악교통(주 4
 
4.7%
관악구청 3
 
3.5%
안전자동차공업사 3
 
3.5%
한독운수(주 2
 
2.3%
청암개발 2
 
2.3%
주식회사 2
 
2.3%
관악사 2
 
2.3%
관리단 2
 
2.3%
국제백신연구소 1
 
1.2%
Other values (60) 60
69.8%
2024-05-11T04:59:45.447816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 31
 
4.5%
( 31
 
4.5%
) 30
 
4.4%
주 27
 
3.9%
악 22
 
3.2%
교 20
 
2.9%
20
 
2.9%
서 18
 
2.6%
대 16
 
2.3%
울 16
 
2.3%
Other values (156) 456
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
86.8%
Open Punctuation 32
 
4.7%
Close Punctuation 31
 
4.5%
Space Separator 20
 
2.9%
Decimal Number 3
 
0.4%
Uppercase Letter 3
 
0.4%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 31
 
5.2%
주 27
 
4.5%
악 22
 
3.7%
교 20
 
3.4%
서 18
 
3.0%
대 16
 
2.7%
울 16
 
2.7%
사 16
 
2.7%
자 13
 
2.2%
동 11
 
1.8%
Other values (145) 406
68.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
R 1
33.3%
S 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 31
96.9%
[ 1
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 30
96.8%
] 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
86.8%
Common 88
 
12.8%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 31
 
5.2%
주 27
 
4.5%
악 22
 
3.7%
교 20
 
3.4%
서 18
 
3.0%
대 16
 
2.7%
울 16
 
2.7%
사 16
 
2.7%
자 13
 
2.2%
동 11
 
1.8%
Other values (145) 406
68.1%
Common
ValueCountFrequency (%)
( 31
35.2%
) 30
34.1%
20
22.7%
, 2
 
2.3%
1 2
 
2.3%
[ 1
 
1.1%
] 1
 
1.1%
3 1
 
1.1%
Latin
ValueCountFrequency (%)
C 1
33.3%
R 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
86.8%
ASCII 91
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 31
 
5.2%
주 27
 
4.5%
악 22
 
3.7%
교 20
 
3.4%
서 18
 
3.0%
대 16
 
2.7%
울 16
 
2.7%
사 16
 
2.7%
자 13
 
2.2%
동 11
 
1.8%
Other values (145) 406
68.1%
ASCII
ValueCountFrequency (%)
( 31
34.1%
) 30
33.0%
20
22.0%
, 2
 
2.2%
1 2
 
2.2%
[ 1
 
1.1%
] 1
 
1.1%
C 1
 
1.1%
R 1
 
1.1%
S 1
 
1.1%

최종수정일자
Date

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2000-10-17 10:43:25
Maximum2024-02-29 13:43:39
2024-05-11T04:59:45.975161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:59:46.427782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
U
36 
I
30 

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 (%)
U 36
54.5%
I 30
45.5%

Length

2024-05-11T04:59:46.866352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:47.223361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 36
54.5%
i 30
45.5%

데이터갱신일자
Date

Distinct41
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2018-10-04 11:12:49
Maximum2023-12-03 00:02:00
2024-05-11T04:59:47.554667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:59:47.991363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Text

MISSING 

Distinct25
Distinct (%)51.0%
Missing17
Missing (%)25.8%
Memory size660.0 B
2024-05-11T04:59:48.461752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.5918367
Min length3

Characters and Unicode

Total characters421
Distinct characters80
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)32.7%

Sample

1st row도장 공사업
2nd row자동차 종합 수리업
3rd row도장 및 기타 피막처리업
4th row자동차 종합 수리업
5th row육상 여객 운송업
ValueCountFrequency (%)
기타 12
 
9.5%
및 9
 
7.1%
자동차 7
 
5.6%
종합 7
 
5.6%
도장 7
 
5.6%
일반 6
 
4.8%
수리업 6
 
4.8%
의원 6
 
4.8%
서비스업 5
 
4.0%
피막처리업 5
 
4.0%
Other values (35) 56
44.4%
2024-05-11T04:59:49.371545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
18.3%
업 38
 
9.0%
리 16
 
3.8%
기 15
 
3.6%
동 13
 
3.1%
타 12
 
2.9%
및 9
 
2.1%
사 8
 
1.9%
장 8
 
1.9%
차 8
 
1.9%
Other values (70) 217
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
81.7%
Space Separator 77
 
18.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 38
 
11.0%
리 16
 
4.7%
기 15
 
4.4%
동 13
 
3.8%
타 12
 
3.5%
및 9
 
2.6%
사 8
 
2.3%
장 8
 
2.3%
차 8
 
2.3%
도 7
 
2.0%
Other values (69) 210
61.0%
Space Separator
ValueCountFrequency (%)
77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
81.7%
Common 77
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 38
 
11.0%
리 16
 
4.7%
기 15
 
4.4%
동 13
 
3.8%
타 12
 
3.5%
및 9
 
2.6%
사 8
 
2.3%
장 8
 
2.3%
차 8
 
2.3%
도 7
 
2.0%
Other values (69) 210
61.0%
Common
ValueCountFrequency (%)
77
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
81.7%
ASCII 77
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
100.0%
Hangul
ValueCountFrequency (%)
업 38
 
11.0%
리 16
 
4.7%
기 15
 
4.4%
동 13
 
3.8%
타 12
 
3.5%
및 9
 
2.6%
사 8
 
2.3%
장 8
 
2.3%
차 8
 
2.3%
도 7
 
2.0%
Other values (69) 210
61.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)70.2%
Missing9
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean194783.31
Minimum191348.3
Maximum198374.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:49.978021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191348.3
5-th percentile192397.4
Q1193745.75
median194588.18
Q3196139.86
95-th percentile196541.99
Maximum198374.47
Range7026.1718
Interquartile range (IQR)2394.1107

Descriptive statistics

Standard deviation1450.6018
Coefficient of variation (CV)0.0074472595
Kurtosis-0.10451319
Mean194783.31
Median Absolute Deviation (MAD)1114.8638
Skewness0.02575328
Sum11102649
Variance2104245.7
MonotonicityNot monotonic
2024-05-11T04:59:50.460511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
196139.864969792 12
 
18.2%
195113.600859283 3
 
4.5%
194587.780226676 2
 
3.0%
192397.396806336 2
 
3.0%
195642.146052021 2
 
3.0%
194588.179869728 2
 
3.0%
195478.462898389 1
 
1.5%
193773.070404044 1
 
1.5%
194200.949311281 1
 
1.5%
191993.152538095 1
 
1.5%
Other values (30) 30
45.5%
(Missing) 9
 
13.6%
ValueCountFrequency (%)
191348.301480814 1
1.5%
191993.152538095 1
1.5%
192397.396806336 2
3.0%
192583.229967995 1
1.5%
193176.189309168 1
1.5%
193301.885808714 1
1.5%
193350.027022729 1
1.5%
193390.592431183 1
1.5%
193451.25948275 1
1.5%
193556.151489085 1
1.5%
ValueCountFrequency (%)
198374.473281221 1
 
1.5%
198097.13526738 1
 
1.5%
196668.226137898 1
 
1.5%
196510.431759616 1
 
1.5%
196400.161877314 1
 
1.5%
196139.864969792 12
18.2%
195703.166818623 1
 
1.5%
195703.043681259 1
 
1.5%
195642.146052021 2
 
3.0%
195478.462898389 1
 
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)70.2%
Missing9
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean441285.02
Minimum439023.17
Maximum443447.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:51.056298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile439023.17
Q1440594.85
median441745.28
Q3442265.87
95-th percentile443164.6
Maximum443447.01
Range4423.8467
Interquartile range (IQR)1671.0163

Descriptive statistics

Standard deviation1375.898
Coefficient of variation (CV)0.003117935
Kurtosis-0.86698942
Mean441285.02
Median Absolute Deviation (MAD)789.47051
Skewness-0.5672195
Sum25153246
Variance1893095.4
MonotonicityNot monotonic
2024-05-11T04:59:51.609365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
439023.167125842 12
 
18.2%
442265.870893614 3
 
4.5%
440878.055379956 2
 
3.0%
441745.27779568 2
 
3.0%
441787.259790651 2
 
3.0%
442621.339826367 2
 
3.0%
442097.660858001 1
 
1.5%
442270.419248856 1
 
1.5%
440896.786074292 1
 
1.5%
442144.362074833 1
 
1.5%
Other values (30) 30
45.5%
(Missing) 9
 
13.6%
ValueCountFrequency (%)
439023.167125842 12
18.2%
440432.973536205 1
 
1.5%
440492.03178851 1
 
1.5%
440594.854590848 1
 
1.5%
440685.11304384 1
 
1.5%
440878.055379956 2
 
3.0%
440896.786074292 1
 
1.5%
440955.807289235 1
 
1.5%
440984.47734113 1
 
1.5%
440997.898819529 1
 
1.5%
ValueCountFrequency (%)
443447.01386002 1
1.5%
443315.22189256 1
1.5%
443216.750634836 1
1.5%
443151.561302292 1
1.5%
442917.596856108 1
1.5%
442632.469540589 1
1.5%
442621.339826367 2
3.0%
442544.81333793 1
1.5%
442510.775085572 1
1.5%
442459.993613767 1
1.5%

환경업무구분명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
대기배출업소관리
49 
<NA>
17 

Length

Max length8
Median length8
Mean length6.969697
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기배출업소관리 49
74.2%
<NA> 17
 
25.8%

Length

2024-05-11T04:59:52.291787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:52.826048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 49
74.2%
na 17
 
25.8%

업종구분명
Text

MISSING 

Distinct19
Distinct (%)50.0%
Missing28
Missing (%)42.4%
Memory size660.0 B
2024-05-11T04:59:53.399245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.7894737
Min length3

Characters and Unicode

Total characters334
Distinct characters72
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)31.6%

Sample

1st row도장 공사업
2nd row자동차 종합 수리업
3rd row도장 및 기타 피막처리업
4th row자동차 종합 수리업
5th row육상 여객 운송업
ValueCountFrequency (%)
기타 12
 
11.7%
및 9
 
8.7%
자동차 7
 
6.8%
도장 7
 
6.8%
수리업 6
 
5.8%
일반 6
 
5.8%
의원 6
 
5.8%
종합 6
 
5.8%
피막처리업 5
 
4.9%
부동산업 3
 
2.9%
Other values (28) 36
35.0%
2024-05-11T04:59:54.485128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
19.5%
업 28
 
8.4%
기 14
 
4.2%
리 13
 
3.9%
타 12
 
3.6%
동 11
 
3.3%
및 9
 
2.7%
차 8
 
2.4%
장 8
 
2.4%
도 7
 
2.1%
Other values (62) 159
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 269
80.5%
Space Separator 65
 
19.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 28
 
10.4%
기 14
 
5.2%
리 13
 
4.8%
타 12
 
4.5%
동 11
 
4.1%
및 9
 
3.3%
차 8
 
3.0%
장 8
 
3.0%
도 7
 
2.6%
자 7
 
2.6%
Other values (61) 152
56.5%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 269
80.5%
Common 65
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 28
 
10.4%
기 14
 
5.2%
리 13
 
4.8%
타 12
 
4.5%
동 11
 
4.1%
및 9
 
3.3%
차 8
 
3.0%
장 8
 
3.0%
도 7
 
2.6%
자 7
 
2.6%
Other values (61) 152
56.5%
Common
ValueCountFrequency (%)
65
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 269
80.5%
ASCII 65
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
100.0%
Hangul
ValueCountFrequency (%)
업 28
 
10.4%
기 14
 
5.2%
리 13
 
4.8%
타 12
 
4.5%
동 11
 
4.1%
및 9
 
3.3%
차 8
 
3.0%
장 8
 
3.0%
도 7
 
2.6%
자 7
 
2.6%
Other values (61) 152
56.5%

종별명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
5종
29 
<NA>
29 
4종
8 

Length

Max length4
Median length2
Mean length2.8787879
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5종
2nd row5종
3rd row5종
4th row5종
5th row5종

Common Values

ValueCountFrequency (%)
5종 29
43.9%
<NA> 29
43.9%
4종 8
 
12.1%

Length

2024-05-11T04:59:55.147538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:59:55.516227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 29
43.9%
na 29
43.9%
4종 8
 
12.1%

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

배출시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)28.1%
Missing34
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean3.875
Minimum0
Maximum14
Zeros15
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:55.948291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q38
95-th percentile10.35
Maximum14
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.3607487
Coefficient of variation (CV)1.1253545
Kurtosis-0.96998423
Mean3.875
Median Absolute Deviation (MAD)1.5
Skewness0.60046805
Sum124
Variance19.016129
MonotonicityNot monotonic
2024-05-11T04:59:56.382742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 15
22.7%
8 9
 
13.6%
4 2
 
3.0%
9 1
 
1.5%
2 1
 
1.5%
6 1
 
1.5%
1 1
 
1.5%
12 1
 
1.5%
14 1
 
1.5%
(Missing) 34
51.5%
ValueCountFrequency (%)
0 15
22.7%
1 1
 
1.5%
2 1
 
1.5%
4 2
 
3.0%
6 1
 
1.5%
8 9
13.6%
9 1
 
1.5%
12 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
14 1
 
1.5%
12 1
 
1.5%
9 1
 
1.5%
8 9
13.6%
6 1
 
1.5%
4 2
 
3.0%
2 1
 
1.5%
1 1
 
1.5%
0 15
22.7%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)17.9%
Missing27
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean115.82051
Minimum0
Maximum360
Zeros21
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:56.819138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300
95-th percentile300
Maximum360
Range360
Interquartile range (IQR)300

Descriptive statistics

Standard deviation140.89449
Coefficient of variation (CV)1.2164899
Kurtosis-1.5974586
Mean115.82051
Median Absolute Deviation (MAD)0
Skewness0.56548935
Sum4517
Variance19851.256
MonotonicityNot monotonic
2024-05-11T04:59:57.285712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 21
31.8%
300 12
18.2%
100 2
 
3.0%
72 1
 
1.5%
110 1
 
1.5%
175 1
 
1.5%
360 1
 
1.5%
(Missing) 27
40.9%
ValueCountFrequency (%)
0 21
31.8%
72 1
 
1.5%
100 2
 
3.0%
110 1
 
1.5%
175 1
 
1.5%
300 12
18.2%
360 1
 
1.5%
ValueCountFrequency (%)
360 1
 
1.5%
300 12
18.2%
175 1
 
1.5%
110 1
 
1.5%
100 2
 
3.0%
72 1
 
1.5%
0 21
31.8%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)26.7%
Missing36
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean3.4333333
Minimum0
Maximum14
Zeros16
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:57.711573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile10.2
Maximum14
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.280536
Coefficient of variation (CV)1.2467581
Kurtosis-0.4093094
Mean3.4333333
Median Absolute Deviation (MAD)0
Skewness0.86946323
Sum103
Variance18.322989
MonotonicityNot monotonic
2024-05-11T04:59:58.155130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 16
24.2%
8 7
 
10.6%
4 2
 
3.0%
2 1
 
1.5%
5 1
 
1.5%
6 1
 
1.5%
12 1
 
1.5%
14 1
 
1.5%
(Missing) 36
54.5%
ValueCountFrequency (%)
0 16
24.2%
2 1
 
1.5%
4 2
 
3.0%
5 1
 
1.5%
6 1
 
1.5%
8 7
10.6%
12 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
14 1
 
1.5%
12 1
 
1.5%
8 7
10.6%
6 1
 
1.5%
5 1
 
1.5%
4 2
 
3.0%
2 1
 
1.5%
0 16
24.2%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)21.1%
Missing28
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean127.02632
Minimum0
Maximum365
Zeros20
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:59:58.673037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300
95-th percentile360.75
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation149.48587
Coefficient of variation (CV)1.1768103
Kurtosis-1.7041835
Mean127.02632
Median Absolute Deviation (MAD)0
Skewness0.47320481
Sum4827
Variance22346.026
MonotonicityNot monotonic
2024-05-11T04:59:59.129445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 20
30.3%
300 11
 
16.7%
365 2
 
3.0%
72 1
 
1.5%
100 1
 
1.5%
175 1
 
1.5%
90 1
 
1.5%
360 1
 
1.5%
(Missing) 28
42.4%
ValueCountFrequency (%)
0 20
30.3%
72 1
 
1.5%
90 1
 
1.5%
100 1
 
1.5%
175 1
 
1.5%
300 11
16.7%
360 1
 
1.5%
365 2
 
3.0%
ValueCountFrequency (%)
365 2
 
3.0%
360 1
 
1.5%
300 11
16.7%
175 1
 
1.5%
100 1
 
1.5%
90 1
 
1.5%
72 1
 
1.5%
0 20
30.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0320000032000002100940000120020309<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>151050서울특별시 관악구 봉천동 912-8번지서울특별시 관악구 봉천로 412 (봉천동)<NA>안전자동차공업사2002-03-09 10:36:27I2018-10-04 11:12:49.0도장 공사업195113.600859442265.870894대기배출업소관리도장 공사업5종<NA>930000
1320000032000002119920000119921114<NA>1영업/정상11영업<NA><NA><NA><NA>02 8710071<NA>151060서울특별시 관악구 봉천동 861-7번지서울특별시 관악구 봉천로 472 (봉천동)<NA>봉천자동차공업사2000-10-17 14:27:21I2018-10-04 11:12:49.0자동차 종합 수리업195703.166819442189.875014대기배출업소관리자동차 종합 수리업5종<NA>83008300
2320000032000002119940000119940914<NA>1영업/정상11영업<NA><NA><NA><NA>02 8829889<NA>151054서울특별시 관악구 봉천동 875-4번지 17서울특별시 관악구 관악로17길 38 (봉천동,17)<NA>관악카독크2000-10-17 10:43:25I2018-10-04 11:12:49.0도장 및 기타 피막처리업195478.462898442097.660858대기배출업소관리도장 및 기타 피막처리업5종<NA>83008300
3320000032000002119940000219940413<NA>1영업/정상11영업<NA><NA><NA><NA>02 8770024<NA>151069서울특별시 관악구 봉천동 912-8번지서울특별시 관악구 봉천로 412 (봉천동)<NA>안전자동차공업사2000-10-17 14:37:18I2018-10-04 11:12:49.0자동차 종합 수리업195113.600859442265.870894대기배출업소관리자동차 종합 수리업5종<NA>23002300
4320000032000002119950000119950426<NA>3폐업2폐업20080728<NA><NA><NA>02 8805500<NA><NA>서울특별시 관악구 신림동 산 56-1번지서울특별시 관악구 관악로 1 (신림동)<NA>서울대학교2008-07-28 16:53:18I2018-10-04 11:12:49.0<NA>196139.86497439023.167126대기배출업소관리<NA>5종<NA>81005300
5320000032000002119950000219950719<NA>1영업/정상11영업<NA><NA><NA><NA>8731155<NA><NA>서울특별시 관악구 신림동 1427-1 21서울특별시 관악구 봉천로12길 5 (신림동,21)<NA>한국지엠관악서비스센터(주)2021-12-06 16:59:53U2021-12-08 02:40:00.0<NA>193678.434019442917.596856대기배출업소관리<NA>5종<NA>83008300
6320000032000002119980000119980603<NA>1영업/정상11영업<NA><NA><NA><NA>02 8738732<NA><NA>서울특별시 관악구 신림동 241-42서울특별시 관악구 신림로 87-8 (신림동)<NA>한남여객(주)자가정비업소2020-10-12 09:52:02U2020-10-14 02:40:00.0육상 여객 운송업194587.780227440878.05538대기배출업소관리육상 여객 운송업5종<NA>43004300
7320000032000002119990000119990521<NA>1영업/정상11영업<NA><NA><NA><NA>028675556<NA><NA>서울특별시 관악구 신림동 1477-3번지서울특별시 관악구 문성로 101 (신림동)151013무빙모터스2011-10-30 13:38:03I2018-10-04 11:12:49.0<NA>192397.396806441745.277796대기배출업소관리<NA>5종<NA>83008300
8320000032000002119990000219990814<NA>1영업/정상11영업<NA><NA><NA><NA>02 8861960<NA>151012서울특별시 관악구 신림동 105번지서울특별시 관악구 복은길 16 (신림동)<NA>영성교통(주)2000-10-17 15:07:35I2018-10-04 11:12:49.0자동차 종합 수리업194336.444993441329.761178대기배출업소관리자동차 종합 수리업5종<NA>83008300
9320000032000002119990000319990901<NA>1영업/정상11영업<NA><NA><NA><NA>02 8884992<NA>151010서울특별시 관악구 신림동 112-36번지서울특별시 관악구 신림로18가길 49 (신림동)<NA>낙원교통(주)2000-10-17 15:21:15I2018-10-04 11:12:49.0자동차 종합 수리업194087.284215441163.233661대기배출업소관리자동차 종합 수리업5종<NA>872872
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
5632000003200000212018000022018-12-11<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>880-5146<NA><NA>서울특별시 관악구 신림동 산 56-1 서울대학교서울특별시 관악구 관악로 1, 서울대학교 (신림동)8826서울대학교(녹색환경과, 대기)2024-02-16 09:39:00U2023-12-01 23:08:00.0<NA>196139.86497439023.167126<NA><NA><NA><NA><NA><NA><NA><NA>
57320000032000002120200000120201208<NA>1영업/정상11영업<NA><NA><NA><NA>02-889-4523<NA><NA>서울특별시 관악구 신림동 1704-1 신림1단지주공아파트서울특별시 관악구 광신길 160 (신림동, 신림1단지주공아파트)8848주택관리공사(주)신림1단지관리소2020-12-09 10:56:34I2020-12-11 00:23:07.0기타 서비스업193556.151489440432.973536대기배출업소관리기타 서비스업4종<NA><NA><NA><NA><NA>
58320000032000002120200000220210107<NA>1영업/정상11영업<NA><NA><NA><NA>02-875-9900<NA><NA>서울특별시 관악구 신림동 86-3서울특별시 관악구 신림로 318 (신림동)<NA>청암개발2021-01-08 13:41:28I2021-01-10 00:23:05.0부동산 임대업193773.070404442270.419249대기배출업소관리부동산 임대업5종<NA><NA><NA><NA><NA>
59320000032000002120210000120210217<NA>1영업/정상11영업<NA><NA><NA><NA>02-881-8008<NA><NA>서울특별시 관악구 신림동 1641-2 포도몰서울특별시 관악구 신림로 330, 포도몰 (신림동)8777(주)코람코가치투자부동산제3의1호위탁관리자부동산투자회사2021-12-31 17:03:00U2022-01-02 02:40:00.0부동산업193754.42735442407.201247대기배출업소관리부동산업4종<NA><NA>0<NA>365
60320000032000002120210000220211022<NA>1영업/정상11영업<NA><NA><NA><NA>02-570-6196<NA><NA>서울특별시 관악구 봉천동 1659-5 경동제약빌딩서울특별시 관악구 남부순환로 1926, 경동제약빌딩 (봉천동)8793경동제약(주)2021-11-25 15:35:32U2021-11-27 02:40:00.0부동산업196668.226138441640.722372대기배출업소관리부동산업5종<NA><NA>0<NA>0
61320000032000002120210000320211125<NA>1영업/정상11영업<NA><NA><NA><NA>02-871-3636<NA><NA>서울특별시 관악구 봉천동 726-10 삼화현대오일뱅크서울특별시 관악구 보라매로 41 (봉천동)8708사회복지법인에스알씨(SRC)2021-11-29 10:19:36U2021-12-01 02:40:00.0그외 기타 협회 및 단체193451.259483443447.01386대기배출업소관리그외 기타 협회 및 단체4종<NA><NA>0<NA>0
62320000032000002120210000420220103<NA>1영업/정상11영업<NA><NA><NA><NA>02-6276-8660<NA><NA>서울특별시 관악구 봉천동 862-1 에그엘로우서울특별시 관악구 남부순환로 1820, 에그엘로우 702호 (봉천동)8787에그옐로우 관리단2022-01-04 09:10:41I2022-01-06 00:22:40.0<NA>195703.043681442094.085759대기배출업소관리<NA>4종<NA><NA>0<NA>0
63320000032000002120210000520220105<NA>1영업/정상11영업<NA><NA><NA><NA>02-828-5814<NA><NA>서울특별시 관악구 신림동 209-1 관악문화관도서관서울특별시 관악구 신림로3길 35, 관악문화관재단 (신림동)8825재단법인 관악문화재단2022-01-06 10:23:51I2022-01-08 00:22:40.0<NA>195047.432678440594.854591대기배출업소관리<NA>5종<NA><NA>0<NA>0
64320000032000002120220000120220901<NA>1영업/정상11영업<NA><NA><NA><NA>02-6948-8119<NA><NA>서울특별시 관악구 남현동 612-51서울특별시 관악구 과천대로 909, 홈플러스남현점 (남현동)8808주식회사케이비사당리테일위탁관리부동산투자회사(홈플러스남현2022-09-02 10:27:55I2021-12-09 00:04:00.0부동산업198374.473281441033.513045<NA><NA><NA><NA><NA><NA><NA><NA>
65320000032000002120220000220221109<NA>1영업/정상11영업<NA><NA><NA><NA>02-6911-0519<NA><NA>서울특별시 관악구 신림동 1412-2 서울관악우체국서울특별시 관악구 남부순환로 1643, 서울관악우체국 (신림동)8755서울관악우체국2022-11-09 11:42:14I2021-10-31 23:01:00.0우편업194017.115661442544.813338<NA><NA><NA><NA><NA><NA><NA><NA>