Overview

Dataset statistics

Number of variables33
Number of observations147
Missing cells1302
Missing cells (%)26.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.5 KiB
Average record size in memory281.9 B

Variable types

Categorical11
Numeric8
DateTime3
Unsupported6
Text5

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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-19361/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주생산품명 is highly imbalanced (55.7%)Imbalance
인허가취소일자 has 147 (100.0%) missing valuesMissing
폐업일자 has 124 (84.4%) missing valuesMissing
휴업시작일자 has 147 (100.0%) missing valuesMissing
휴업종료일자 has 147 (100.0%) missing valuesMissing
재개업일자 has 147 (100.0%) missing valuesMissing
전화번호 has 87 (59.2%) missing valuesMissing
소재지면적 has 147 (100.0%) missing valuesMissing
소재지우편번호 has 147 (100.0%) missing valuesMissing
도로명주소 has 34 (23.1%) missing valuesMissing
도로명우편번호 has 78 (53.1%) missing valuesMissing
좌표정보(X) has 3 (2.0%) missing valuesMissing
좌표정보(Y) has 3 (2.0%) missing valuesMissing
배출시설조업시간 has 20 (13.6%) missing valuesMissing
배출시설연간가동일수 has 19 (12.9%) missing valuesMissing
방지시설조업시간 has 27 (18.4%) missing valuesMissing
방지시설연간가동일수 has 25 (17.0%) 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 87 (59.2%) zerosZeros
배출시설연간가동일수 has 89 (60.5%) zerosZeros
방지시설조업시간 has 88 (59.9%) zerosZeros
방지시설연간가동일수 has 91 (61.9%) zerosZeros

Reproduction

Analysis started2024-05-11 08:47:53.610432
Analysis finished2024-05-11 08:47:54.555999
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3090000
147 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 147
100.0%

Length

2024-05-11T08:47:54.776057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:55.097386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 147
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0900002 × 1017
Minimum3.0900002 × 1017
Maximum3.0900002 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:47:55.466405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0900002 × 1017
5-th percentile3.0900002 × 1017
Q13.0900002 × 1017
median3.0900002 × 1017
Q33.0900002 × 1017
95-th percentile3.0900002 × 1017
Maximum3.0900002 × 1017
Range2400000
Interquartile range (IQR)700032

Descriptive statistics

Standard deviation688454.67
Coefficient of variation (CV)2.2280085 × 10-12
Kurtosis-0.25838925
Mean3.0900002 × 1017
Median Absolute Deviation (MAD)300032
Skewness1.0049406
Sum8.529515 × 1018
Variance4.7396983 × 1011
MonotonicityStrictly increasing
2024-05-11T08:47:55.997660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309000021200000001 1
 
0.7%
309000021200600011 1
 
0.7%
309000021200600013 1
 
0.7%
309000021200600014 1
 
0.7%
309000021200600015 1
 
0.7%
309000021200700001 1
 
0.7%
309000021200700002 1
 
0.7%
309000021200700003 1
 
0.7%
309000021200700004 1
 
0.7%
309000021200700005 1
 
0.7%
Other values (137) 137
93.2%
ValueCountFrequency (%)
309000021200000001 1
0.7%
309000021200000004 1
0.7%
309000021200000005 1
0.7%
309000021200000006 1
0.7%
309000021200000007 1
0.7%
309000021200000008 1
0.7%
309000021200000010 1
0.7%
309000021200000012 1
0.7%
309000021200000013 1
0.7%
309000021200000015 1
0.7%
ValueCountFrequency (%)
309000021202400001 1
0.7%
309000021202300001 1
0.7%
309000021202200001 1
0.7%
309000021202100007 1
0.7%
309000021202100006 1
0.7%
309000021202100005 1
0.7%
309000021202100004 1
0.7%
309000021202100003 1
0.7%
309000021202100002 1
0.7%
309000021202100001 1
0.7%

인허가일자
Date

Distinct127
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1973-01-27 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T08:47:56.413893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:47:56.893264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
4
84 
1
47 
3
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 84
57.1%
1 47
32.0%
3 16
 
10.9%

Length

2024-05-11T08:47:57.427208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:57.750487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 84
57.1%
1 47
32.0%
3 16
 
10.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
취소/말소/만료/정지/중지
84 
영업/정상
47 
폐업
16 

Length

Max length14
Median length14
Mean length9.8163265
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 84
57.1%
영업/정상 47
32.0%
폐업 16
 
10.9%

Length

2024-05-11T08:47:58.390913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:47:58.761312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 84
57.1%
영업/정상 47
32.0%
폐업 16
 
10.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
4
84 
11
47 
2
16 

Length

Max length2
Median length1
Mean length1.3197279
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 84
57.1%
11 47
32.0%
2 16
 
10.9%

Length

2024-05-11T08:47:59.491622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:00.005596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 84
57.1%
11 47
32.0%
2 16
 
10.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐쇄
84 
영업
47 
폐업
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐쇄 84
57.1%
영업 47
32.0%
폐업 16
 
10.9%

Length

2024-05-11T08:48:00.766557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:01.431234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐쇄 84
57.1%
영업 47
32.0%
폐업 16
 
10.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)78.3%
Missing124
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean20157297
Minimum20030303
Maximum20221216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:48:02.163616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030303
5-th percentile20120420
Q120130908
median20150608
Q320195430
95-th percentile20211203
Maximum20221216
Range190913
Interquartile range (IQR)64522

Descriptive statistics

Standard deviation44986.544
Coefficient of variation (CV)0.0022317746
Kurtosis1.2798909
Mean20157297
Median Absolute Deviation (MAD)30188
Skewness-0.70104426
Sum4.6361783 × 108
Variance2.0237892 × 109
MonotonicityNot monotonic
2024-05-11T08:48:02.758263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20120420 4
 
2.7%
20131211 2
 
1.4%
20141204 2
 
1.4%
20200429 1
 
0.7%
20221216 1
 
0.7%
20190430 1
 
0.7%
20211214 1
 
0.7%
20210531 1
 
0.7%
20150608 1
 
0.7%
20210716 1
 
0.7%
Other values (8) 8
 
5.4%
(Missing) 124
84.4%
ValueCountFrequency (%)
20030303 1
 
0.7%
20120420 4
2.7%
20130604 1
 
0.7%
20131211 2
1.4%
20140519 1
 
0.7%
20141204 2
1.4%
20150608 1
 
0.7%
20151221 1
 
0.7%
20170905 1
 
0.7%
20171219 1
 
0.7%
ValueCountFrequency (%)
20221216 1
0.7%
20211214 1
0.7%
20211101 1
0.7%
20210716 1
0.7%
20210531 1
0.7%
20200429 1
0.7%
20190430 1
0.7%
20190304 1
0.7%
20171219 1
0.7%
20170905 1
0.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct59
Distinct (%)98.3%
Missing87
Missing (%)59.2%
Memory size1.3 KiB
2024-05-11T08:48:03.318932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.2833333
Min length7

Characters and Unicode

Total characters557
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

Unique58 ?
Unique (%)96.7%

Sample

1st row22896200
2nd row0234938585
3rd row02 9059414
4th row906-1500
5th row954-3000
ValueCountFrequency (%)
02 5
 
7.7%
9024040 2
 
3.1%
02-966-0303 1
 
1.5%
02-3399-4785 1
 
1.5%
02-901-5150 1
 
1.5%
02-955-0111 1
 
1.5%
6711-7000 1
 
1.5%
2289-2580 1
 
1.5%
907-0031 1
 
1.5%
994-8585 1
 
1.5%
Other values (50) 50
76.9%
2024-05-11T08:48:04.965536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 111
19.9%
9 81
14.5%
2 63
11.3%
- 55
9.9%
1 45
8.1%
5 42
 
7.5%
3 41
 
7.4%
4 38
 
6.8%
8 37
 
6.6%
6 25
 
4.5%
Other values (2) 19
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 497
89.2%
Dash Punctuation 55
 
9.9%
Space Separator 5
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
22.3%
9 81
16.3%
2 63
12.7%
1 45
9.1%
5 42
 
8.5%
3 41
 
8.2%
4 38
 
7.6%
8 37
 
7.4%
6 25
 
5.0%
7 14
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 557
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 111
19.9%
9 81
14.5%
2 63
11.3%
- 55
9.9%
1 45
8.1%
5 42
 
7.5%
3 41
 
7.4%
4 38
 
6.8%
8 37
 
6.6%
6 25
 
4.5%
Other values (2) 19
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 557
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 111
19.9%
9 81
14.5%
2 63
11.3%
- 55
9.9%
1 45
8.1%
5 42
 
7.5%
3 41
 
7.4%
4 38
 
6.8%
8 37
 
6.6%
6 25
 
4.5%
Other values (2) 19
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Text

Distinct92
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T08:48:06.020280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length21.408163
Min length13

Characters and Unicode

Total characters3147
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)48.3%

Sample

1st row서울특별시 도봉구 도봉동 62-3번지
2nd row서울특별시 도봉구 방학동 599-5번지
3rd row서울특별시 도봉구 방학동 717-20번지
4th row서울특별시 도봉구 창동 749-15번지
5th row서울특별시 도봉구 방학동 443번지
ValueCountFrequency (%)
서울특별시 147
24.3%
도봉구 147
24.3%
창동 69
11.4%
방학동 59
9.8%
도봉동 16
 
2.6%
724-1번지 15
 
2.5%
650-46번지 6
 
1.0%
711번지 6
 
1.0%
708-2번지 5
 
0.8%
443번지 5
 
0.8%
Other values (102) 130
21.5%
2024-05-11T08:48:07.391484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
588
18.7%
봉 165
 
5.2%
도 165
 
5.2%
동 151
 
4.8%
서 149
 
4.7%
울 149
 
4.7%
시 147
 
4.7%
별 147
 
4.7%
구 147
 
4.7%
특 147
 
4.7%
Other values (82) 1192
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1858
59.0%
Space Separator 588
 
18.7%
Decimal Number 581
 
18.5%
Dash Punctuation 114
 
3.6%
Uppercase Letter 5
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 165
8.9%
도 165
8.9%
동 151
 
8.1%
서 149
 
8.0%
울 149
 
8.0%
시 147
 
7.9%
별 147
 
7.9%
구 147
 
7.9%
특 147
 
7.9%
지 103
 
5.5%
Other values (64) 388
20.9%
Decimal Number
ValueCountFrequency (%)
7 99
17.0%
1 98
16.9%
2 80
13.8%
4 69
11.9%
5 57
9.8%
6 48
8.3%
3 44
7.6%
0 38
 
6.5%
8 31
 
5.3%
9 17
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
E 1
20.0%
M 1
20.0%
A 1
20.0%
R 1
20.0%
T 1
20.0%
Space Separator
ValueCountFrequency (%)
588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1859
59.1%
Common 1283
40.8%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 165
8.9%
도 165
8.9%
동 151
 
8.1%
서 149
 
8.0%
울 149
 
8.0%
시 147
 
7.9%
별 147
 
7.9%
구 147
 
7.9%
특 147
 
7.9%
지 103
 
5.5%
Other values (65) 389
20.9%
Common
ValueCountFrequency (%)
588
45.8%
- 114
 
8.9%
7 99
 
7.7%
1 98
 
7.6%
2 80
 
6.2%
4 69
 
5.4%
5 57
 
4.4%
6 48
 
3.7%
3 44
 
3.4%
0 38
 
3.0%
Other values (2) 48
 
3.7%
Latin
ValueCountFrequency (%)
E 1
20.0%
M 1
20.0%
A 1
20.0%
R 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1858
59.0%
ASCII 1288
40.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
588
45.7%
- 114
 
8.9%
7 99
 
7.7%
1 98
 
7.6%
2 80
 
6.2%
4 69
 
5.4%
5 57
 
4.4%
6 48
 
3.7%
3 44
 
3.4%
0 38
 
3.0%
Other values (7) 53
 
4.1%
Hangul
ValueCountFrequency (%)
봉 165
8.9%
도 165
8.9%
동 151
 
8.1%
서 149
 
8.0%
울 149
 
8.0%
시 147
 
7.9%
별 147
 
7.9%
구 147
 
7.9%
특 147
 
7.9%
지 103
 
5.5%
Other values (64) 388
20.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

MISSING 

Distinct76
Distinct (%)67.3%
Missing34
Missing (%)23.1%
Memory size1.3 KiB
2024-05-11T08:48:08.631367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length27.132743
Min length22

Characters and Unicode

Total characters3066
Distinct characters136
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

Unique56 ?
Unique (%)49.6%

Sample

1st row서울특별시 도봉구 도봉로180길 30 (도봉동)
2nd row서울특별시 도봉구 시루봉로23길 17 (방학동)
3rd row서울특별시 도봉구 도봉로150다길 42 (방학동)
4th row서울특별시 도봉구 도봉로136길 19 (창동)
5th row서울특별시 도봉구 시루봉로 139 (방학동)
ValueCountFrequency (%)
서울특별시 113
18.6%
도봉구 113
18.6%
창동 58
 
9.5%
방학동 36
 
5.9%
도봉로 20
 
3.3%
도봉동 16
 
2.6%
방학로 14
 
2.3%
마들로 9
 
1.5%
644-45 7
 
1.2%
도봉로140길 7
 
1.2%
Other values (126) 215
35.4%
2024-05-11T08:48:10.142809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
496
 
16.2%
봉 197
 
6.4%
도 192
 
6.3%
동 122
 
4.0%
시 118
 
3.8%
서 116
 
3.8%
구 115
 
3.8%
울 115
 
3.8%
별 113
 
3.7%
특 113
 
3.7%
Other values (126) 1369
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1824
59.5%
Space Separator 496
 
16.2%
Decimal Number 459
 
15.0%
Close Punctuation 113
 
3.7%
Open Punctuation 113
 
3.7%
Other Punctuation 34
 
1.1%
Dash Punctuation 20
 
0.7%
Uppercase Letter 5
 
0.2%
Other Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 197
 
10.8%
도 192
 
10.5%
동 122
 
6.7%
시 118
 
6.5%
서 116
 
6.4%
구 115
 
6.3%
울 115
 
6.3%
별 113
 
6.2%
특 113
 
6.2%
로 113
 
6.2%
Other values (104) 510
28.0%
Decimal Number
ValueCountFrequency (%)
1 85
18.5%
4 77
16.8%
6 57
12.4%
3 44
9.6%
2 43
9.4%
0 38
8.3%
5 35
7.6%
9 32
 
7.0%
8 26
 
5.7%
7 22
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
20.0%
M 1
20.0%
A 1
20.0%
R 1
20.0%
T 1
20.0%
Space Separator
ValueCountFrequency (%)
496
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1825
59.5%
Common 1236
40.3%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 197
 
10.8%
도 192
 
10.5%
동 122
 
6.7%
시 118
 
6.5%
서 116
 
6.4%
구 115
 
6.3%
울 115
 
6.3%
별 113
 
6.2%
특 113
 
6.2%
로 113
 
6.2%
Other values (105) 511
28.0%
Common
ValueCountFrequency (%)
496
40.1%
) 113
 
9.1%
( 113
 
9.1%
1 85
 
6.9%
4 77
 
6.2%
6 57
 
4.6%
3 44
 
3.6%
2 43
 
3.5%
0 38
 
3.1%
5 35
 
2.8%
Other values (6) 135
 
10.9%
Latin
ValueCountFrequency (%)
E 1
20.0%
M 1
20.0%
A 1
20.0%
R 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1824
59.5%
ASCII 1241
40.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
496
40.0%
) 113
 
9.1%
( 113
 
9.1%
1 85
 
6.8%
4 77
 
6.2%
6 57
 
4.6%
3 44
 
3.5%
2 43
 
3.5%
0 38
 
3.1%
5 35
 
2.8%
Other values (11) 140
 
11.3%
Hangul
ValueCountFrequency (%)
봉 197
 
10.8%
도 192
 
10.5%
동 122
 
6.7%
시 118
 
6.5%
서 116
 
6.4%
구 115
 
6.3%
울 115
 
6.3%
별 113
 
6.2%
특 113
 
6.2%
로 113
 
6.2%
Other values (104) 510
28.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명우편번호
Text

MISSING 

Distinct46
Distinct (%)66.7%
Missing78
Missing (%)53.1%
Memory size1.3 KiB
2024-05-11T08:48:10.707813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3188406
Min length5

Characters and Unicode

Total characters367
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

Unique32 ?
Unique (%)46.4%

Sample

1st row132010
2nd row132021
3rd row132041
4th row132021
5th row132011
ValueCountFrequency (%)
01397 7
 
10.1%
01407 4
 
5.8%
01489 3
 
4.3%
132021 3
 
4.3%
01467 2
 
2.9%
01331 2
 
2.9%
01320 2
 
2.9%
01332 2
 
2.9%
01462 2
 
2.9%
01413 2
 
2.9%
Other values (36) 40
58.0%
2024-05-11T08:48:11.802510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 86
23.4%
0 72
19.6%
3 54
14.7%
2 43
11.7%
4 33
 
9.0%
9 25
 
6.8%
7 20
 
5.4%
6 11
 
3.0%
5 11
 
3.0%
8 9
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 364
99.2%
Dash Punctuation 3
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
23.6%
0 72
19.8%
3 54
14.8%
2 43
11.8%
4 33
 
9.1%
9 25
 
6.9%
7 20
 
5.5%
6 11
 
3.0%
5 11
 
3.0%
8 9
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 86
23.4%
0 72
19.6%
3 54
14.7%
2 43
11.7%
4 33
 
9.0%
9 25
 
6.8%
7 20
 
5.4%
6 11
 
3.0%
5 11
 
3.0%
8 9
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 86
23.4%
0 72
19.6%
3 54
14.7%
2 43
11.7%
4 33
 
9.0%
9 25
 
6.8%
7 20
 
5.4%
6 11
 
3.0%
5 11
 
3.0%
8 9
 
2.5%

사업장명
Text

Distinct104
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-05-11T08:48:12.637447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length9.1496599
Min length2

Characters and Unicode

Total characters1345
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)57.1%

Sample

1st row한국지엠서울북부서비스센터(주)
2nd row금성실크
3rd row대성자동차공업사
4th row용광자동차공업사
5th row대현자동차공업사
ValueCountFrequency (%)
제일자동차공업사 7
 
4.3%
도봉자동차공업사 5
 
3.1%
동우자동차공업사 5
 
3.1%
용광자동차공업사 4
 
2.5%
동아자동차서비스 4
 
2.5%
서울탁주도봉연합제조장 4
 
2.5%
주)재성전자 4
 
2.5%
주)동우자동차공업사 3
 
1.8%
대성자동차공업사 3
 
1.8%
한양자동차정비(주 3
 
1.8%
Other values (109) 121
74.2%
2024-05-11T08:48:13.895272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 96
 
7.1%
자 79
 
5.9%
주 69
 
5.1%
차 68
 
5.1%
) 59
 
4.4%
( 59
 
4.4%
업 52
 
3.9%
사 51
 
3.8%
공 48
 
3.6%
도 28
 
2.1%
Other values (182) 736
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1192
88.6%
Close Punctuation 59
 
4.4%
Open Punctuation 59
 
4.4%
Space Separator 16
 
1.2%
Uppercase Letter 9
 
0.7%
Decimal Number 7
 
0.5%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 96
 
8.1%
자 79
 
6.6%
주 69
 
5.8%
차 68
 
5.7%
업 52
 
4.4%
사 51
 
4.3%
공 48
 
4.0%
도 28
 
2.3%
대 28
 
2.3%
스 25
 
2.1%
Other values (164) 648
54.4%
Uppercase Letter
ValueCountFrequency (%)
I 2
22.2%
V 1
11.1%
T 1
11.1%
W 1
11.1%
N 1
11.1%
S 1
11.1%
C 1
11.1%
A 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
7 1
14.3%
4 1
14.3%
2 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1193
88.7%
Common 143
 
10.6%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 96
 
8.0%
자 79
 
6.6%
주 69
 
5.8%
차 68
 
5.7%
업 52
 
4.4%
사 51
 
4.3%
공 48
 
4.0%
도 28
 
2.3%
대 28
 
2.3%
스 25
 
2.1%
Other values (165) 649
54.4%
Common
ValueCountFrequency (%)
) 59
41.3%
( 59
41.3%
16
 
11.2%
1 2
 
1.4%
- 2
 
1.4%
0 2
 
1.4%
7 1
 
0.7%
4 1
 
0.7%
2 1
 
0.7%
Latin
ValueCountFrequency (%)
I 2
22.2%
V 1
11.1%
T 1
11.1%
W 1
11.1%
N 1
11.1%
S 1
11.1%
C 1
11.1%
A 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1192
88.6%
ASCII 152
 
11.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 96
 
8.1%
자 79
 
6.6%
주 69
 
5.8%
차 68
 
5.7%
업 52
 
4.4%
사 51
 
4.3%
공 48
 
4.0%
도 28
 
2.3%
대 28
 
2.3%
스 25
 
2.1%
Other values (164) 648
54.4%
ASCII
ValueCountFrequency (%)
) 59
38.8%
( 59
38.8%
16
 
10.5%
I 2
 
1.3%
1 2
 
1.3%
- 2
 
1.3%
0 2
 
1.3%
7 1
 
0.7%
V 1
 
0.7%
T 1
 
0.7%
Other values (7) 7
 
4.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2009-07-13 18:04:48
Maximum2024-04-22 17:37:10
2024-05-11T08:48:14.531504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:14.983537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
102 
U
45 

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 102
69.4%
U 45
30.6%

Length

2024-05-11T08:48:15.539632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:15.986888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 102
69.4%
u 45
30.6%

데이터갱신일자
Date

Distinct51
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-10-04 11:12:49
Maximum2023-12-03 23:08:00
2024-05-11T08:48:16.478156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:17.333363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct24
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
52 
자동차 종합 수리업
45 
일반 공공 행정
6 
부동산 임대업
 
4
대형 종합 소매업
 
4
Other values (19)
36 

Length

Max length16
Median length15
Mean length7.707483
Min length3

Unique

Unique8 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
35.4%
자동차 종합 수리업 45
30.6%
일반 공공 행정 6
 
4.1%
부동산 임대업 4
 
2.7%
대형 종합 소매업 4
 
2.7%
자동차 수리업 3
 
2.0%
사업시설 유지관리 서비스업 3
 
2.0%
종합 스포츠시설 운영업 3
 
2.0%
자동차 및 이륜 자동차 수리업 3
 
2.0%
시계 및 시계부품 제조업 3
 
2.0%
Other values (14) 21
14.3%

Length

2024-05-11T08:48:18.083996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종합 54
16.5%
자동차 54
16.5%
na 52
15.9%
수리업 51
15.5%
제조업 9
 
2.7%
및 8
 
2.4%
기타 8
 
2.4%
행정 8
 
2.4%
공공 6
 
1.8%
일반 6
 
1.8%
Other values (32) 72
22.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)53.5%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean203603.3
Minimum201183.09
Maximum204659.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:48:18.780511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201183.09
5-th percentile202365.25
Q1203213.54
median203780.72
Q3204084.34
95-th percentile204365.41
Maximum204659.95
Range3476.8645
Interquartile range (IQR)870.80206

Descriptive statistics

Standard deviation630.27169
Coefficient of variation (CV)0.0030955868
Kurtosis2.6337324
Mean203603.3
Median Absolute Deviation (MAD)306.23589
Skewness-1.3405893
Sum29318876
Variance397242.41
MonotonicityNot monotonic
2024-05-11T08:48:19.585906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204086.953973346 17
 
11.6%
203771.422589416 7
 
4.8%
202877.044270305 6
 
4.1%
202365.248077885 5
 
3.4%
203811.915589151 5
 
3.4%
203879.119594857 4
 
2.7%
203663.004911194 4
 
2.7%
203174.342692516 4
 
2.7%
203945.490470832 4
 
2.7%
202951.820112204 3
 
2.0%
Other values (67) 85
57.8%
ValueCountFrequency (%)
201183.090092577 2
 
1.4%
201393.038238284 1
 
0.7%
202338.937796637 1
 
0.7%
202365.248077885 5
3.4%
202444.888009646 1
 
0.7%
202466.119176743 1
 
0.7%
202877.044270305 6
4.1%
202951.820112204 3
2.0%
202975.335528313 2
 
1.4%
203010.38898623 2
 
1.4%
ValueCountFrequency (%)
204659.954596058 1
0.7%
204641.872260793 1
0.7%
204608.639064993 1
0.7%
204586.302366266 1
0.7%
204506.921108086 1
0.7%
204448.549296032 1
0.7%
204413.616574592 1
0.7%
204366.855765505 1
0.7%
204357.218613968 2
1.4%
204313.906829097 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)53.5%
Missing3
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean461854.61
Minimum459499.24
Maximum465436.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:48:20.380918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459499.24
5-th percentile459831.08
Q1460606.55
median462176.93
Q3462324.4
95-th percentile464472.81
Maximum465436.32
Range5937.0896
Interquartile range (IQR)1717.8503

Descriptive statistics

Standard deviation1353.9229
Coefficient of variation (CV)0.0029314916
Kurtosis0.090271397
Mean461854.61
Median Absolute Deviation (MAD)625.84056
Skewness0.31233325
Sum66507064
Variance1833107.2
MonotonicityNot monotonic
2024-05-11T08:48:21.012115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
462223.975097313 17
 
11.6%
462206.429898068 7
 
4.8%
460368.674382853 6
 
4.1%
462337.160981884 5
 
3.4%
462324.398951253 5
 
3.4%
462837.442363789 4
 
2.7%
461936.196335302 4
 
2.7%
459499.235087847 4
 
2.7%
462233.786636403 4
 
2.7%
459980.577785271 3
 
2.0%
Other values (67) 85
57.8%
ValueCountFrequency (%)
459499.235087847 4
2.7%
459700.998777517 2
1.4%
459746.924430501 1
 
0.7%
459820.359926529 1
 
0.7%
459891.795182137 2
1.4%
459934.898299203 1
 
0.7%
459980.577785271 3
2.0%
459982.79959681 3
2.0%
460001.081136921 1
 
0.7%
460006.710243233 1
 
0.7%
ValueCountFrequency (%)
465436.324701514 1
0.7%
465434.287606105 2
1.4%
464814.717432497 1
0.7%
464576.8822366 1
0.7%
464563.45559045 2
1.4%
464472.810888981 2
1.4%
464331.998993354 1
0.7%
464295.628375287 1
0.7%
463990.79883758 2
1.4%
463886.851902677 1
0.7%

환경업무구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
대기배출업소관리
130 
<NA>
17 

Length

Max length8
Median length8
Mean length7.537415
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기배출업소관리 130
88.4%
<NA> 17
 
11.6%

Length

2024-05-11T08:48:21.604270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:22.067155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기배출업소관리 130
88.4%
na 17
 
11.6%

업종구분명
Categorical

Distinct21
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
67 
자동차 종합 수리업
41 
일반 공공 행정
 
4
대형 종합 소매업
 
3
자동차 및 이륜 자동차 수리업
 
3
Other values (16)
29 

Length

Max length16
Median length15
Mean length7.2380952
Min length4

Unique

Unique6 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
45.6%
자동차 종합 수리업 41
27.9%
일반 공공 행정 4
 
2.7%
대형 종합 소매업 3
 
2.0%
자동차 및 이륜 자동차 수리업 3
 
2.0%
부동산 임대업 3
 
2.0%
시계 및 시계부품 제조업 3
 
2.0%
기타 비알콜음료 제조업 3
 
2.0%
종합 병원 2
 
1.4%
부동산업 2
 
1.4%
Other values (11) 16
 
10.9%

Length

2024-05-11T08:48:22.476427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 67
22.0%
종합 48
15.7%
자동차 48
15.7%
수리업 45
14.8%
제조업 9
 
3.0%
및 8
 
2.6%
기타 8
 
2.6%
행정 6
 
2.0%
일반 4
 
1.3%
공공 4
 
1.3%
Other values (29) 58
19.0%

종별명
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
5종
91 
4종
37 
<NA>
17 
3종
 
2

Length

Max length4
Median length2
Mean length2.2312925
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4종
2nd row5종
3rd row5종
4th row4종
5th row5종

Common Values

ValueCountFrequency (%)
5종 91
61.9%
4종 37
25.2%
<NA> 17
 
11.6%
3종 2
 
1.4%

Length

2024-05-11T08:48:22.890399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:23.288369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 91
61.9%
4종 37
25.2%
na 17
 
11.6%
3종 2
 
1.4%

주생산품명
Categorical

IMBALANCE 

Distinct17
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
102 
자동차 도색
21 
차량 도색
 
3
시계
 
3
인쇄화장품병
 
2
Other values (12)
16 

Length

Max length7
Median length4
Mean length4.2857143
Min length2

Unique

Unique8 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 102
69.4%
자동차 도색 21
 
14.3%
차량 도색 3
 
2.0%
시계 3
 
2.0%
인쇄화장품병 2
 
1.4%
자동차수리 2
 
1.4%
아파트 관리 2
 
1.4%
사료 2
 
1.4%
세차 2
 
1.4%
수리된 자동차 1
 
0.7%
Other values (7) 7
 
4.8%

Length

2024-05-11T08:48:23.662941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 102
58.3%
도색 24
 
13.7%
자동차 23
 
13.1%
차량 4
 
2.3%
시계 3
 
1.7%
관리 2
 
1.1%
세차 2
 
1.1%
사료 2
 
1.1%
아파트 2
 
1.1%
자동차수리 2
 
1.1%
Other values (8) 9
 
5.1%

배출시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)11.0%
Missing20
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.6377953
Minimum0
Maximum24
Zeros87
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:48:23.994615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile9.4
Maximum24
Range24
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.7537275
Coefficient of variation (CV)1.8021594
Kurtosis5.6828841
Mean2.6377953
Median Absolute Deviation (MAD)0
Skewness2.2000676
Sum335
Variance22.597925
MonotonicityNot monotonic
2024-05-11T08:48:24.492854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 87
59.2%
8 22
 
15.0%
4 3
 
2.0%
3 3
 
2.0%
16 2
 
1.4%
24 2
 
1.4%
2 1
 
0.7%
15 1
 
0.7%
5 1
 
0.7%
7 1
 
0.7%
Other values (4) 4
 
2.7%
(Missing) 20
 
13.6%
ValueCountFrequency (%)
0 87
59.2%
1 1
 
0.7%
2 1
 
0.7%
3 3
 
2.0%
4 3
 
2.0%
5 1
 
0.7%
6 1
 
0.7%
7 1
 
0.7%
8 22
 
15.0%
10 1
 
0.7%
ValueCountFrequency (%)
24 2
 
1.4%
16 2
 
1.4%
15 1
 
0.7%
12 1
 
0.7%
10 1
 
0.7%
8 22
15.0%
7 1
 
0.7%
6 1
 
0.7%
5 1
 
0.7%
4 3
 
2.0%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)8.6%
Missing19
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean93.125
Minimum0
Maximum365
Zeros89
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:48:24.964754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300
95-th percentile365
Maximum365
Range365
Interquartile range (IQR)300

Descriptive statistics

Standard deviation144.58967
Coefficient of variation (CV)1.5526408
Kurtosis-0.97452362
Mean93.125
Median Absolute Deviation (MAD)0
Skewness0.97020352
Sum11920
Variance20906.173
MonotonicityNot monotonic
2024-05-11T08:48:25.464354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 89
60.5%
300 19
 
12.9%
365 8
 
5.4%
264 2
 
1.4%
320 2
 
1.4%
360 2
 
1.4%
250 2
 
1.4%
150 1
 
0.7%
81 1
 
0.7%
340 1
 
0.7%
(Missing) 19
 
12.9%
ValueCountFrequency (%)
0 89
60.5%
81 1
 
0.7%
150 1
 
0.7%
250 2
 
1.4%
264 2
 
1.4%
300 19
 
12.9%
320 2
 
1.4%
340 1
 
0.7%
341 1
 
0.7%
360 2
 
1.4%
ValueCountFrequency (%)
365 8
5.4%
360 2
 
1.4%
341 1
 
0.7%
340 1
 
0.7%
320 2
 
1.4%
300 19
12.9%
264 2
 
1.4%
250 2
 
1.4%
150 1
 
0.7%
81 1
 
0.7%

방지시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)10.8%
Missing27
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean2.2916667
Minimum0
Maximum24
Zeros88
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:48:25.969145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile8.1
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.5566386
Coefficient of variation (CV)1.9883514
Kurtosis6.7101837
Mean2.2916667
Median Absolute Deviation (MAD)0
Skewness2.416079
Sum275
Variance20.762955
MonotonicityNot monotonic
2024-05-11T08:48:26.359960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 88
59.9%
8 17
 
11.6%
16 2
 
1.4%
4 2
 
1.4%
6 2
 
1.4%
3 2
 
1.4%
5 1
 
0.7%
22 1
 
0.7%
7 1
 
0.7%
12 1
 
0.7%
Other values (3) 3
 
2.0%
(Missing) 27
 
18.4%
ValueCountFrequency (%)
0 88
59.9%
1 1
 
0.7%
3 2
 
1.4%
4 2
 
1.4%
5 1
 
0.7%
6 2
 
1.4%
7 1
 
0.7%
8 17
 
11.6%
10 1
 
0.7%
12 1
 
0.7%
ValueCountFrequency (%)
24 1
 
0.7%
22 1
 
0.7%
16 2
 
1.4%
12 1
 
0.7%
10 1
 
0.7%
8 17
11.6%
7 1
 
0.7%
6 2
 
1.4%
5 1
 
0.7%
4 2
 
1.4%

방지시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)7.4%
Missing25
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean77.540984
Minimum0
Maximum365
Zeros91
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T08:48:26.788094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3112.5
95-th percentile339.95
Maximum365
Range365
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation135.08688
Coefficient of variation (CV)1.7421352
Kurtosis-0.42597627
Mean77.540984
Median Absolute Deviation (MAD)0
Skewness1.2192294
Sum9460
Variance18248.465
MonotonicityNot monotonic
2024-05-11T08:48:27.406073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 91
61.9%
300 19
 
12.9%
365 5
 
3.4%
250 2
 
1.4%
264 1
 
0.7%
320 1
 
0.7%
150 1
 
0.7%
360 1
 
0.7%
341 1
 
0.7%
(Missing) 25
 
17.0%
ValueCountFrequency (%)
0 91
61.9%
150 1
 
0.7%
250 2
 
1.4%
264 1
 
0.7%
300 19
 
12.9%
320 1
 
0.7%
341 1
 
0.7%
360 1
 
0.7%
365 5
 
3.4%
ValueCountFrequency (%)
365 5
 
3.4%
360 1
 
0.7%
341 1
 
0.7%
320 1
 
0.7%
300 19
 
12.9%
264 1
 
0.7%
250 2
 
1.4%
150 1
 
0.7%
0 91
61.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0309000030900002120000000119910402<NA>3폐업2폐업20140519<NA><NA><NA>22896200<NA><NA>서울특별시 도봉구 도봉동 62-3번지서울특별시 도봉구 도봉로180길 30 (도봉동)132010한국지엠서울북부서비스센터(주)2015-03-02 13:39:37I2018-10-04 11:12:49.0<NA>204081.38615464472.810889대기배출업소관리<NA>4종<NA>0000
1309000030900002120000000419930701<NA>4취소/말소/만료/정지/중지4폐쇄20141204<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 599-5번지서울특별시 도봉구 시루봉로23길 17 (방학동)132021금성실크2015-03-02 13:34:33I2018-10-04 11:12:49.0기타 인쇄업203487.872188463542.298433대기배출업소관리기타 인쇄업5종인쇄화장품병0000
2309000030900002120000000519910415<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 717-20번지서울특별시 도봉구 도봉로150다길 42 (방학동)<NA>대성자동차공업사2015-03-02 13:51:31I2018-10-04 11:12:49.0<NA>203879.119595462837.442364대기배출업소관리<NA>5종차량 도색0000
3309000030900002120000000619910415<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 749-15번지서울특별시 도봉구 도봉로136길 19 (창동)132041용광자동차공업사2015-03-02 13:53:12I2018-10-04 11:12:49.0<NA>203663.004911461936.196335대기배출업소관리<NA>4종<NA>8000
4309000030900002120000000719951011<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 443번지서울특별시 도봉구 시루봉로 139 (방학동)132021대현자동차공업사2015-03-02 15:41:33I2018-10-04 11:12:49.0<NA>202365.248078462337.160982대기배출업소관리<NA>5종<NA>0000
5309000030900002120000000819880826<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 224-2번지<NA><NA>대산자동차공업(주)2015-03-02 15:37:56I2018-10-04 11:12:49.0<NA><NA><NA>대기배출업소관리<NA>5종<NA>0000
6309000030900002120000001019950830<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA>0234938585<NA><NA>서울특별시 도봉구 도봉동 78-12번지서울특별시 도봉구 도봉로180나길 48 (도봉동)132011기아자동차(주)도봉사업소2015-03-02 14:25:04I2018-10-04 11:12:49.0자동차 종합 수리업204357.218614464563.45559대기배출업소관리자동차 종합 수리업5종<NA>0000
7309000030900002120000001219960521<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 750-3번지<NA><NA>대봉자동차공업사2015-03-02 15:36:07I2018-10-04 11:12:49.0자동차 종합 수리업203580.567141461795.785529대기배출업소관리자동차 종합 수리업5종<NA>0000
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
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141309000030900002120210000520211223<NA>1영업/정상11영업<NA><NA><NA><NA>029551315<NA><NA>서울특별시 도봉구 도봉동 87 삼환도봉아파트서울특별시 도봉구 도봉로180길 6-119, 삼환도봉아파트 (도봉동)01320삼환도봉A입주자대표회의2021-12-23 16:04:33I2021-12-25 00:22:42.0부동산 임대업204239.626781464295.628375대기배출업소관리부동산 임대업4종<NA>43654365
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14530900003090000212023000012023-09-06<NA>1영업/정상11영업<NA><NA><NA><NA>02-6077-8888<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 (창동)01413씨드큐브창동2023-09-08 10:08:52U2022-12-08 23:00:00.0부동산 임대업204313.906829461347.878668<NA><NA><NA><NA><NA><NA><NA><NA>
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