Overview

Dataset statistics

Number of variables29
Number of observations77
Missing cells697
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory246.7 B

Variable types

Categorical8
Text7
DateTime4
Unsupported6
Numeric4

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),비상시설위치,시설구분명,시설명_건물명,해제일자
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20011/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 40 (51.9%) missing valuesMissing
폐업일자 has 40 (51.9%) missing valuesMissing
휴업시작일자 has 77 (100.0%) missing valuesMissing
휴업종료일자 has 77 (100.0%) missing valuesMissing
재개업일자 has 77 (100.0%) missing valuesMissing
전화번호 has 77 (100.0%) missing valuesMissing
소재지우편번호 has 77 (100.0%) missing valuesMissing
도로명주소 has 14 (18.2%) missing valuesMissing
도로명우편번호 has 24 (31.2%) missing valuesMissing
업태구분명 has 77 (100.0%) missing valuesMissing
좌표정보(X) has 16 (20.8%) missing valuesMissing
좌표정보(Y) has 16 (20.8%) missing valuesMissing
비상시설위치 has 19 (24.7%) missing valuesMissing
시설명_건물명 has 19 (24.7%) missing valuesMissing
해제일자 has 47 (61.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
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
전화번호 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 20:04:59.011992
Analysis finished2024-04-29 20:04:59.782981
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
3090000
77 

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 77
100.0%

Length

2024-04-30T05:04:59.861423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:04:59.947016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 77
100.0%

관리번호
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-04-30T05:05:00.101610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1386
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row3090000-E198500001
2nd row3090000-E199100001
3rd row3090000-E199200001
4th row3090000-E199400002
5th row3090000-E199400003
ValueCountFrequency (%)
3090000-e198500001 1
 
1.3%
3090000-e201100001 1
 
1.3%
3090000-e201100020 1
 
1.3%
3090000-e201100018 1
 
1.3%
3090000-e201100017 1
 
1.3%
3090000-e201100016 1
 
1.3%
3090000-e201100015 1
 
1.3%
3090000-e201100014 1
 
1.3%
3090000-e201100013 1
 
1.3%
3090000-e201100010 1
 
1.3%
Other values (67) 67
87.0%
2024-04-30T05:05:00.366122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 737
53.2%
9 135
 
9.7%
1 127
 
9.2%
3 95
 
6.9%
2 83
 
6.0%
- 77
 
5.6%
E 77
 
5.6%
4 16
 
1.2%
5 13
 
0.9%
8 10
 
0.7%
Other values (2) 16
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1232
88.9%
Dash Punctuation 77
 
5.6%
Uppercase Letter 77
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 737
59.8%
9 135
 
11.0%
1 127
 
10.3%
3 95
 
7.7%
2 83
 
6.7%
4 16
 
1.3%
5 13
 
1.1%
8 10
 
0.8%
6 10
 
0.8%
7 6
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1309
94.4%
Latin 77
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 737
56.3%
9 135
 
10.3%
1 127
 
9.7%
3 95
 
7.3%
2 83
 
6.3%
- 77
 
5.9%
4 16
 
1.2%
5 13
 
1.0%
8 10
 
0.8%
6 10
 
0.8%
Latin
ValueCountFrequency (%)
E 77
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 737
53.2%
9 135
 
9.7%
1 127
 
9.2%
3 95
 
6.9%
2 83
 
6.0%
- 77
 
5.6%
E 77
 
5.6%
4 16
 
1.2%
5 13
 
0.9%
8 10
 
0.7%
Other values (2) 16
 
1.2%

인허가일자
Date

Distinct48
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum1985-01-02 00:00:00
Maximum2020-11-17 00:00:00
2024-04-30T05:05:00.491242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:00.598922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Date

MISSING 

Distinct23
Distinct (%)62.2%
Missing40
Missing (%)51.9%
Memory size748.0 B
Minimum2006-02-21 00:00:00
Maximum2024-02-20 00:00:00
2024-04-30T05:05:00.707845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:00.810034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

영업상태코드
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
1
40 
4
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row1
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 40
51.9%
4 37
48.1%

Length

2024-04-30T05:05:00.910318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:01.008115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
51.9%
4 37
48.1%

영업상태명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
영업/정상
40 
취소/말소/만료/정지/중지
37 

Length

Max length14
Median length5
Mean length9.3246753
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 40
51.9%
취소/말소/만료/정지/중지 37
48.1%

Length

2024-04-30T05:05:01.099967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:01.172762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 40
51.9%
취소/말소/만료/정지/중지 37
48.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
18
40 
19
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19
2nd row18
3rd row18
4th row19
5th row19

Common Values

ValueCountFrequency (%)
18 40
51.9%
19 37
48.1%

Length

2024-04-30T05:05:01.256791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:01.335536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 40
51.9%
19 37
48.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
사용중
40 
사용중지
37 

Length

Max length4
Median length3
Mean length3.4805195
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사용중지
2nd row사용중
3rd row사용중
4th row사용중지
5th row사용중지

Common Values

ValueCountFrequency (%)
사용중 40
51.9%
사용중지 37
48.1%

Length

2024-04-30T05:05:01.424652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:01.509444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 40
51.9%
사용중지 37
48.1%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)62.2%
Missing40
Missing (%)51.9%
Memory size748.0 B
Minimum2006-02-21 00:00:00
Maximum2024-02-20 00:00:00
2024-04-30T05:05:01.587510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:01.679402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

소재지면적
Real number (ℝ)

Distinct38
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean749.54377
Minimum20
Maximum50000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-30T05:05:01.790672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile43
Q158
median75
Q388
95-th percentile219
Maximum50000
Range49980
Interquartile range (IQR)30

Descriptive statistics

Standard deviation5688.8256
Coefficient of variation (CV)7.5897177
Kurtosis76.86687
Mean749.54377
Median Absolute Deviation (MAD)15
Skewness8.7639115
Sum57714.87
Variance32362737
MonotonicityNot monotonic
2024-04-30T05:05:01.904996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
50.0 8
 
10.4%
58.0 6
 
7.8%
70.0 6
 
7.8%
80.0 5
 
6.5%
90.0 5
 
6.5%
65.0 5
 
6.5%
75.0 4
 
5.2%
82.0 3
 
3.9%
88.0 2
 
2.6%
85.0 2
 
2.6%
Other values (28) 31
40.3%
ValueCountFrequency (%)
20.0 1
 
1.3%
30.0 1
 
1.3%
40.0 1
 
1.3%
43.0 2
 
2.6%
48.0 1
 
1.3%
49.0 1
 
1.3%
50.0 8
10.4%
52.0 1
 
1.3%
53.0 1
 
1.3%
56.0 2
 
2.6%
ValueCountFrequency (%)
50000.0 1
1.3%
1440.0 1
1.3%
432.0 1
1.3%
219.0 2
2.6%
189.0 1
1.3%
175.0 1
1.3%
170.0 1
1.3%
150.0 1
1.3%
144.0 1
1.3%
108.0 1
1.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

지번주소
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-04-30T05:05:02.142355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length20.935065
Min length10

Characters and Unicode

Total characters1612
Distinct characters44
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 도봉동 585번지 북서울중학교
2nd row서울특별시 도봉구 도봉동 625번지 21호
3rd row서울특별시 도봉구 방학동 69번지 33호
4th row서울특별시 도봉구 창동 662번지 4호
5th row서울특별시 도봉구 쌍문동 510번지 1호
ValueCountFrequency (%)
도봉구 74
20.8%
서울특별시 73
20.5%
창동 20
 
5.6%
도봉동 20
 
5.6%
방학동 20
 
5.6%
1호 14
 
3.9%
쌍문동 10
 
2.8%
2호 6
 
1.7%
5호 3
 
0.8%
3호 3
 
0.8%
Other values (101) 113
31.7%
2024-04-30T05:05:02.536567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
17.6%
도 96
 
6.0%
봉 95
 
5.9%
서 77
 
4.8%
동 77
 
4.8%
울 76
 
4.7%
시 75
 
4.7%
구 75
 
4.7%
특 73
 
4.5%
별 73
 
4.5%
Other values (34) 611
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
63.1%
Decimal Number 304
 
18.9%
Space Separator 284
 
17.6%
Dash Punctuation 5
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 96
9.4%
봉 95
9.3%
서 77
 
7.6%
동 77
 
7.6%
울 76
 
7.5%
시 75
 
7.4%
구 75
 
7.4%
특 73
 
7.2%
별 73
 
7.2%
지 69
 
6.8%
Other values (20) 231
22.7%
Decimal Number
ValueCountFrequency (%)
2 54
17.8%
3 44
14.5%
1 43
14.1%
6 36
11.8%
5 34
11.2%
4 29
9.5%
8 20
 
6.6%
0 16
 
5.3%
7 16
 
5.3%
9 12
 
3.9%
Space Separator
ValueCountFrequency (%)
284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
63.1%
Common 595
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 96
9.4%
봉 95
9.3%
서 77
 
7.6%
동 77
 
7.6%
울 76
 
7.5%
시 75
 
7.4%
구 75
 
7.4%
특 73
 
7.2%
별 73
 
7.2%
지 69
 
6.8%
Other values (20) 231
22.7%
Common
ValueCountFrequency (%)
284
47.7%
2 54
 
9.1%
3 44
 
7.4%
1 43
 
7.2%
6 36
 
6.1%
5 34
 
5.7%
4 29
 
4.9%
8 20
 
3.4%
0 16
 
2.7%
7 16
 
2.7%
Other values (4) 19
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
63.1%
ASCII 595
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
47.7%
2 54
 
9.1%
3 44
 
7.4%
1 43
 
7.2%
6 36
 
6.1%
5 34
 
5.7%
4 29
 
4.9%
8 20
 
3.4%
0 16
 
2.7%
7 16
 
2.7%
Other values (4) 19
 
3.2%
Hangul
ValueCountFrequency (%)
도 96
9.4%
봉 95
9.3%
서 77
 
7.6%
동 77
 
7.6%
울 76
 
7.5%
시 75
 
7.4%
구 75
 
7.4%
특 73
 
7.2%
별 73
 
7.2%
지 69
 
6.8%
Other values (20) 231
22.7%

도로명주소
Text

MISSING 

Distinct63
Distinct (%)100.0%
Missing14
Missing (%)18.2%
Memory size748.0 B
2024-04-30T05:05:02.768202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length27.222222
Min length20

Characters and Unicode

Total characters1715
Distinct characters125
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 마들로 721 (도봉동)
2nd row서울특별시 도봉구 방학로 290 (방학동, 서소문교회수양관)
3rd row서울특별시 도봉구 삼양로 620-0 (쌍문동)
4th row서울특별시 도봉구 마들로 656 (방학동)
5th row서울특별시 도봉구 노해로63길 54 (창동)
ValueCountFrequency (%)
서울특별시 63
18.5%
도봉구 63
18.5%
도봉동 18
 
5.3%
방학동 18
 
5.3%
창동 16
 
4.7%
쌍문동 10
 
2.9%
도봉로 7
 
2.1%
마들로 6
 
1.8%
방학로 5
 
1.5%
덕릉로 4
 
1.2%
Other values (120) 130
38.2%
2024-04-30T05:05:03.151065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
16.3%
봉 111
 
6.5%
도 110
 
6.4%
시 69
 
4.0%
서 66
 
3.8%
동 66
 
3.8%
울 64
 
3.7%
별 63
 
3.7%
구 63
 
3.7%
( 63
 
3.7%
Other values (115) 761
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1053
61.4%
Space Separator 279
 
16.3%
Decimal Number 226
 
13.2%
Open Punctuation 63
 
3.7%
Close Punctuation 63
 
3.7%
Other Punctuation 21
 
1.2%
Dash Punctuation 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 111
 
10.5%
도 110
 
10.4%
시 69
 
6.6%
서 66
 
6.3%
동 66
 
6.3%
울 64
 
6.1%
별 63
 
6.0%
구 63
 
6.0%
특 63
 
6.0%
로 60
 
5.7%
Other values (100) 318
30.2%
Decimal Number
ValueCountFrequency (%)
1 40
17.7%
6 31
13.7%
9 26
11.5%
3 26
11.5%
2 21
9.3%
4 19
8.4%
5 18
8.0%
7 18
8.0%
0 15
 
6.6%
8 12
 
5.3%
Space Separator
ValueCountFrequency (%)
279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1053
61.4%
Common 662
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 111
 
10.5%
도 110
 
10.4%
시 69
 
6.6%
서 66
 
6.3%
동 66
 
6.3%
울 64
 
6.1%
별 63
 
6.0%
구 63
 
6.0%
특 63
 
6.0%
로 60
 
5.7%
Other values (100) 318
30.2%
Common
ValueCountFrequency (%)
279
42.1%
( 63
 
9.5%
) 63
 
9.5%
1 40
 
6.0%
6 31
 
4.7%
9 26
 
3.9%
3 26
 
3.9%
, 21
 
3.2%
2 21
 
3.2%
4 19
 
2.9%
Other values (5) 73
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1053
61.4%
ASCII 662
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
42.1%
( 63
 
9.5%
) 63
 
9.5%
1 40
 
6.0%
6 31
 
4.7%
9 26
 
3.9%
3 26
 
3.9%
, 21
 
3.2%
2 21
 
3.2%
4 19
 
2.9%
Other values (5) 73
 
11.0%
Hangul
ValueCountFrequency (%)
봉 111
 
10.5%
도 110
 
10.4%
시 69
 
6.6%
서 66
 
6.3%
동 66
 
6.3%
울 64
 
6.1%
별 63
 
6.0%
구 63
 
6.0%
특 63
 
6.0%
로 60
 
5.7%
Other values (100) 318
30.2%

도로명우편번호
Text

MISSING 

Distinct44
Distinct (%)83.0%
Missing24
Missing (%)31.2%
Memory size748.0 B
2024-04-30T05:05:03.337284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2264151
Min length5

Characters and Unicode

Total characters277
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

Unique37 ?
Unique (%)69.8%

Sample

1st row01326
2nd row01317
3rd row01460
4th row01349
5th row01300
ValueCountFrequency (%)
01301 4
 
7.5%
01357 2
 
3.8%
01334 2
 
3.8%
01472 2
 
3.8%
01360 2
 
3.8%
01317 2
 
3.8%
01485 2
 
3.8%
132041 1
 
1.9%
132821 1
 
1.9%
01450 1
 
1.9%
Other values (34) 34
64.2%
2024-04-30T05:05:03.630498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 67
24.2%
0 61
22.0%
3 46
16.6%
4 24
 
8.7%
2 20
 
7.2%
8 16
 
5.8%
7 13
 
4.7%
6 12
 
4.3%
5 11
 
4.0%
9 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 274
98.9%
Dash Punctuation 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 67
24.5%
0 61
22.3%
3 46
16.8%
4 24
 
8.8%
2 20
 
7.3%
8 16
 
5.8%
7 13
 
4.7%
6 12
 
4.4%
5 11
 
4.0%
9 4
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 67
24.2%
0 61
22.0%
3 46
16.6%
4 24
 
8.7%
2 20
 
7.2%
8 16
 
5.8%
7 13
 
4.7%
6 12
 
4.3%
5 11
 
4.0%
9 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 67
24.2%
0 61
22.0%
3 46
16.6%
4 24
 
8.7%
2 20
 
7.2%
8 16
 
5.8%
7 13
 
4.7%
6 12
 
4.3%
5 11
 
4.0%
9 4
 
1.4%

사업장명
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-04-30T05:05:03.822721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.2597403
Min length3

Characters and Unicode

Total characters559
Distinct characters181
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

Unique77 ?
Unique (%)100.0%

Sample

1st row비상급수시설(북서울중학교)
2nd row햇빛산빌딩
3rd row서소문교회수양관
4th row창1동 비상급수시설
5th row동아운수
ValueCountFrequency (%)
도봉구 2
 
2.2%
초안산 2
 
2.2%
비상급수시설(북서울중학교 1
 
1.1%
맛나순대식품 1
 
1.1%
삼익사우나 1
 
1.1%
중간처리장 1
 
1.1%
음식물 1
 
1.1%
gs칼텍스녹천주유소 1
 
1.1%
창동골프연습장 1
 
1.1%
뚱보냉면 1
 
1.1%
Other values (81) 81
87.1%
2024-04-30T05:05:04.163559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
우 23
 
4.1%
사 21
 
3.8%
나 20
 
3.6%
16
 
2.9%
( 15
 
2.7%
) 15
 
2.7%
수 13
 
2.3%
봉 11
 
2.0%
도 11
 
2.0%
원 10
 
1.8%
Other values (171) 404
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
87.5%
Decimal Number 20
 
3.6%
Space Separator 16
 
2.9%
Open Punctuation 15
 
2.7%
Close Punctuation 15
 
2.7%
Dash Punctuation 2
 
0.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 23
 
4.7%
사 21
 
4.3%
나 20
 
4.1%
수 13
 
2.7%
봉 11
 
2.2%
도 11
 
2.2%
원 10
 
2.0%
동 10
 
2.0%
시 9
 
1.8%
학 9
 
1.8%
Other values (159) 352
72.0%
Decimal Number
ValueCountFrequency (%)
2 6
30.0%
1 5
25.0%
4 4
20.0%
6 2
 
10.0%
5 2
 
10.0%
3 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
87.5%
Common 68
 
12.2%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 23
 
4.7%
사 21
 
4.3%
나 20
 
4.1%
수 13
 
2.7%
봉 11
 
2.2%
도 11
 
2.2%
원 10
 
2.0%
동 10
 
2.0%
시 9
 
1.8%
학 9
 
1.8%
Other values (159) 352
72.0%
Common
ValueCountFrequency (%)
16
23.5%
( 15
22.1%
) 15
22.1%
2 6
 
8.8%
1 5
 
7.4%
4 4
 
5.9%
- 2
 
2.9%
6 2
 
2.9%
5 2
 
2.9%
3 1
 
1.5%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
87.5%
ASCII 70
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
우 23
 
4.7%
사 21
 
4.3%
나 20
 
4.1%
수 13
 
2.7%
봉 11
 
2.2%
도 11
 
2.2%
원 10
 
2.0%
동 10
 
2.0%
시 9
 
1.8%
학 9
 
1.8%
Other values (159) 352
72.0%
ASCII
ValueCountFrequency (%)
16
22.9%
( 15
21.4%
) 15
21.4%
2 6
 
8.6%
1 5
 
7.1%
4 4
 
5.7%
- 2
 
2.9%
6 2
 
2.9%
5 2
 
2.9%
S 1
 
1.4%
Other values (2) 2
 
2.9%

최종수정일자
Date

Distinct76
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum2006-02-22 00:00:00
Maximum2024-02-20 18:02:46
2024-04-30T05:05:04.272202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:04.379846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
I
48 
U
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 48
62.3%
U 29
37.7%

Length

2024-04-30T05:05:04.483759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:04.566609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 48
62.3%
u 29
37.7%

데이터갱신일자
Categorical

Distinct17
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2018-08-31 23:59:59.0
45 
2022-12-02 00:08:00.0
8 
2022-12-01 00:07:00.0
 
4
2023-12-01 22:02:00.0
 
3
2022-11-30 22:09:00.0
 
2
Other values (12)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)11.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2021-01-29 02:40:00.0
3rd row2022-12-02 00:08:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 45
58.4%
2022-12-02 00:08:00.0 8
 
10.4%
2022-12-01 00:07:00.0 4
 
5.2%
2023-12-01 22:02:00.0 3
 
3.9%
2022-11-30 22:09:00.0 2
 
2.6%
2018-11-30 02:20:02.0 2
 
2.6%
2022-01-26 02:40:00.0 2
 
2.6%
2018-11-23 02:37:28.0 2
 
2.6%
2021-12-03 02:40:00.0 1
 
1.3%
2019-05-30 02:20:58.0 1
 
1.3%
Other values (7) 7
 
9.1%

Length

2024-04-30T05:05:04.661467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 45
29.2%
23:59:59.0 45
29.2%
2022-12-02 9
 
5.8%
00:08:00.0 8
 
5.2%
02:40:00.0 7
 
4.5%
00:07:00.0 4
 
2.6%
2022-12-01 4
 
2.6%
22:02:00.0 3
 
1.9%
2022-11-30 3
 
1.9%
2023-12-01 3
 
1.9%
Other values (17) 23
14.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)98.4%
Missing16
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean203261.17
Minimum201134.27
Maximum204516.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-30T05:05:04.760811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201134.27
5-th percentile201808.24
Q1202736.59
median203523.17
Q3203829.11
95-th percentile204308.46
Maximum204516.11
Range3381.8382
Interquartile range (IQR)1092.5218

Descriptive statistics

Standard deviation830.5957
Coefficient of variation (CV)0.0040863472
Kurtosis-0.17453121
Mean203261.17
Median Absolute Deviation (MAD)524.27313
Skewness-0.72717151
Sum12398931
Variance689889.21
MonotonicityNot monotonic
2024-04-30T05:05:05.051153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203174.342692516 2
 
2.6%
203949.482768693 1
 
1.3%
202764.917530564 1
 
1.3%
204083.769271308 1
 
1.3%
203485.378490397 1
 
1.3%
203523.169682747 1
 
1.3%
203610.39665347 1
 
1.3%
203150.147749461 1
 
1.3%
203547.971537148 1
 
1.3%
204277.95713217 1
 
1.3%
Other values (50) 50
64.9%
(Missing) 16
 
20.8%
ValueCountFrequency (%)
201134.272848745 1
1.3%
201183.090092577 1
1.3%
201631.695942453 1
1.3%
201808.242559676 1
1.3%
201876.554630935 1
1.3%
202006.391711549 1
1.3%
202068.421379788 1
1.3%
202104.930009838 1
1.3%
202314.189642987 1
1.3%
202407.917419757 1
1.3%
ValueCountFrequency (%)
204516.111029566 1
1.3%
204391.615 1
1.3%
204372.245062863 1
1.3%
204308.456203624 1
1.3%
204277.95713217 1
1.3%
204222.46195029 1
1.3%
204221.279539721 1
1.3%
204165.178758226 1
1.3%
204135.386163501 1
1.3%
204083.769271308 1
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)98.4%
Missing16
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean462178.62
Minimum459351.63
Maximum465794.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-30T05:05:05.187469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459351.63
5-th percentile459746.92
Q1460989.31
median462075.84
Q3463128.85
95-th percentile465275.38
Maximum465794.09
Range6442.4534
Interquartile range (IQR)2139.5331

Descriptive statistics

Standard deviation1720.0084
Coefficient of variation (CV)0.0037215231
Kurtosis-0.59120166
Mean462178.62
Median Absolute Deviation (MAD)1086.526
Skewness0.45747913
Sum28192896
Variance2958428.9
MonotonicityNot monotonic
2024-04-30T05:05:05.312145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459499.235087847 2
 
2.6%
465460.110785499 1
 
1.3%
462169.731321838 1
 
1.3%
462849.020752258 1
 
1.3%
459351.632781587 1
 
1.3%
459862.591253965 1
 
1.3%
465275.378864957 1
 
1.3%
460446.197179903 1
 
1.3%
460379.57291615 1
 
1.3%
460392.345192054 1
 
1.3%
Other values (50) 50
64.9%
(Missing) 16
 
20.8%
ValueCountFrequency (%)
459351.632781587 1
1.3%
459499.235087847 2
2.6%
459746.924430501 1
1.3%
459862.591253965 1
1.3%
460080.285814102 1
1.3%
460121.938675161 1
1.3%
460231.221294249 1
1.3%
460379.57291615 1
1.3%
460392.345192054 1
1.3%
460394.329853007 1
1.3%
ValueCountFrequency (%)
465794.086175946 1
1.3%
465460.110785499 1
1.3%
465434.287606105 1
1.3%
465275.378864957 1
1.3%
465165.043328496 1
1.3%
465094.18915856 1
1.3%
465025.246646886 1
1.3%
465017.323060748 1
1.3%
464905.033086911 1
1.3%
464069.834711115 1
1.3%

비상시설위치
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing19
Missing (%)24.7%
Memory size748.0 B
2024-04-30T05:05:05.544147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length20.931034
Min length10

Characters and Unicode

Total characters1214
Distinct characters44
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row서울특별시 도봉구 도봉동 585번지 북서울중학교
2nd row서울특별시 도봉구 도봉동 625번지 21호
3rd row서울특별시 도봉구 창동 662번지 4호
4th row서울특별시 도봉구 쌍문동 510번지 1호
5th row서울특별시 도봉구 방학동 720번지
ValueCountFrequency (%)
도봉구 55
20.6%
서울특별시 54
20.2%
도봉동 18
 
6.7%
창동 17
 
6.4%
1호 11
 
4.1%
방학동 8
 
3.0%
쌍문동 8
 
3.0%
2호 4
 
1.5%
553번지 2
 
0.7%
창2동 2
 
0.7%
Other values (81) 88
33.0%
2024-04-30T05:05:05.910702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
17.6%
도 75
 
6.2%
봉 74
 
6.1%
서 58
 
4.8%
동 58
 
4.8%
울 57
 
4.7%
시 56
 
4.6%
구 56
 
4.6%
특 54
 
4.4%
별 54
 
4.4%
Other values (34) 458
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 762
62.8%
Decimal Number 232
 
19.1%
Space Separator 214
 
17.6%
Dash Punctuation 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 75
9.8%
봉 74
9.7%
서 58
 
7.6%
동 58
 
7.6%
울 57
 
7.5%
시 56
 
7.3%
구 56
 
7.3%
특 54
 
7.1%
별 54
 
7.1%
지 51
 
6.7%
Other values (20) 169
22.2%
Decimal Number
ValueCountFrequency (%)
2 44
19.0%
3 33
14.2%
1 31
13.4%
6 26
11.2%
5 25
10.8%
4 23
9.9%
8 18
7.8%
0 13
 
5.6%
7 10
 
4.3%
9 9
 
3.9%
Space Separator
ValueCountFrequency (%)
214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 762
62.8%
Common 452
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 75
9.8%
봉 74
9.7%
서 58
 
7.6%
동 58
 
7.6%
울 57
 
7.5%
시 56
 
7.3%
구 56
 
7.3%
특 54
 
7.1%
별 54
 
7.1%
지 51
 
6.7%
Other values (20) 169
22.2%
Common
ValueCountFrequency (%)
214
47.3%
2 44
 
9.7%
3 33
 
7.3%
1 31
 
6.9%
6 26
 
5.8%
5 25
 
5.5%
4 23
 
5.1%
8 18
 
4.0%
0 13
 
2.9%
7 10
 
2.2%
Other values (4) 15
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
62.8%
ASCII 452
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
47.3%
2 44
 
9.7%
3 33
 
7.3%
1 31
 
6.9%
6 26
 
5.8%
5 25
 
5.5%
4 23
 
5.1%
8 18
 
4.0%
0 13
 
2.9%
7 10
 
2.2%
Other values (4) 15
 
3.3%
Hangul
ValueCountFrequency (%)
도 75
9.8%
봉 74
9.7%
서 58
 
7.6%
동 58
 
7.6%
울 57
 
7.5%
시 56
 
7.3%
구 56
 
7.3%
특 54
 
7.1%
별 54
 
7.1%
지 51
 
6.7%
Other values (20) 169
22.2%

시설구분명
Categorical

Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
민간시설
42 
<NA>
19 
공공시설
15 
정부지원시설
 
1

Length

Max length6
Median length4
Mean length4.025974
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 42
54.5%
<NA> 19
24.7%
공공시설 15
 
19.5%
정부지원시설 1
 
1.3%

Length

2024-04-30T05:05:06.036108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:06.142991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 42
54.5%
na 19
24.7%
공공시설 15
 
19.5%
정부지원시설 1
 
1.3%

시설명_건물명
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing19
Missing (%)24.7%
Memory size748.0 B
2024-04-30T05:05:06.337827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.5
Min length4

Characters and Unicode

Total characters435
Distinct characters150
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

Unique58 ?
Unique (%)100.0%

Sample

1st row비상급수시설(북서울중학교)
2nd row햇빛산빌딩
3rd row창1동 비상급수시설
4th row동아운수
5th row도봉구청
ValueCountFrequency (%)
도봉구 2
 
2.8%
초안산 2
 
2.8%
도봉산양고기 1
 
1.4%
한일병원 1
 
1.4%
중간처리장 1
 
1.4%
음식물 1
 
1.4%
gs칼텍스녹천주유소 1
 
1.4%
창동골프연습장 1
 
1.4%
동성사우나 1
 
1.4%
싱싱사우나 1
 
1.4%
Other values (59) 59
83.1%
2024-04-30T05:05:06.658792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 16
 
3.7%
우 16
 
3.7%
나 15
 
3.4%
13
 
3.0%
) 12
 
2.8%
( 12
 
2.8%
수 11
 
2.5%
학 9
 
2.1%
봉 9
 
2.1%
도 9
 
2.1%
Other values (140) 313
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
87.6%
Space Separator 13
 
3.0%
Decimal Number 13
 
3.0%
Close Punctuation 12
 
2.8%
Open Punctuation 12
 
2.8%
Dash Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 16
 
4.2%
우 16
 
4.2%
나 15
 
3.9%
수 11
 
2.9%
학 9
 
2.4%
봉 9
 
2.4%
도 9
 
2.4%
시 9
 
2.4%
동 9
 
2.4%
상 8
 
2.1%
Other values (129) 270
70.9%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
4 3
23.1%
2 3
23.1%
5 2
15.4%
6 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
87.6%
Common 52
 
12.0%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 16
 
4.2%
우 16
 
4.2%
나 15
 
3.9%
수 11
 
2.9%
학 9
 
2.4%
봉 9
 
2.4%
도 9
 
2.4%
시 9
 
2.4%
동 9
 
2.4%
상 8
 
2.1%
Other values (129) 270
70.9%
Common
ValueCountFrequency (%)
13
25.0%
) 12
23.1%
( 12
23.1%
1 4
 
7.7%
4 3
 
5.8%
2 3
 
5.8%
- 2
 
3.8%
5 2
 
3.8%
6 1
 
1.9%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
87.6%
ASCII 54
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 16
 
4.2%
우 16
 
4.2%
나 15
 
3.9%
수 11
 
2.9%
학 9
 
2.4%
봉 9
 
2.4%
도 9
 
2.4%
시 9
 
2.4%
동 9
 
2.4%
상 8
 
2.1%
Other values (129) 270
70.9%
ASCII
ValueCountFrequency (%)
13
24.1%
) 12
22.2%
( 12
22.2%
1 4
 
7.4%
4 3
 
5.6%
2 3
 
5.6%
- 2
 
3.7%
5 2
 
3.7%
S 1
 
1.9%
G 1
 
1.9%

해제일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)70.0%
Missing47
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean20136627
Minimum20060221
Maximum20211124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-04-30T05:05:06.766960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060221
5-th percentile20060584
Q120090604
median20155362
Q320170614
95-th percentile20191071
Maximum20211124
Range150903
Interquartile range (IQR)80009.5

Descriptive statistics

Standard deviation48846.692
Coefficient of variation (CV)0.0024257633
Kurtosis-1.3288605
Mean20136627
Median Absolute Deviation (MAD)25758.5
Skewness-0.4449161
Sum6.0409882 × 108
Variance2.3859993 × 109
MonotonicityNot monotonic
2024-04-30T05:05:06.882211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20170614 3
 
3.9%
20180720 2
 
2.6%
20130731 2
 
2.6%
20060221 2
 
2.6%
20080121 2
 
2.6%
20181121 2
 
2.6%
20170314 2
 
2.6%
20150522 2
 
2.6%
20090615 1
 
1.3%
20110103 1
 
1.3%
Other values (11) 11
 
14.3%
(Missing) 47
61.0%
ValueCountFrequency (%)
20060221 2
2.6%
20061027 1
1.3%
20061120 1
1.3%
20061129 1
1.3%
20080121 2
2.6%
20090601 1
1.3%
20090615 1
1.3%
20110103 1
1.3%
20110216 1
1.3%
20130731 2
2.6%
ValueCountFrequency (%)
20211124 1
 
1.3%
20191203 1
 
1.3%
20190909 1
 
1.3%
20181121 2
2.6%
20180720 2
2.6%
20170614 3
3.9%
20170613 1
 
1.3%
20170612 1
 
1.3%
20170314 2
2.6%
20160203 1
 
1.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030900003090000-E19850000119850102200610274취소/말소/만료/정지/중지19사용중지20061027<NA><NA><NA><NA>144.0<NA>서울특별시 도봉구 도봉동 585번지 북서울중학교<NA><NA>비상급수시설(북서울중학교)2007-12-04 16:51:13I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 도봉구 도봉동 585번지 북서울중학교민간시설비상급수시설(북서울중학교)20061027
130900003090000-E19910000119910128<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>88.0<NA>서울특별시 도봉구 도봉동 625번지 21호서울특별시 도봉구 마들로 721 (도봉동)01326햇빛산빌딩2021-01-27 19:49:56U2021-01-29 02:40:00.0<NA>204062.895297463585.041752서울특별시 도봉구 도봉동 625번지 21호민간시설햇빛산빌딩<NA>
230900003090000-E1992000011992-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80.0<NA>서울특별시 도봉구 방학동 69번지 33호서울특별시 도봉구 방학로 290 (방학동, 서소문교회수양관)01317서소문교회수양관2023-02-06 17:06:46U2022-12-02 00:08:00.0<NA><NA><NA><NA><NA><NA><NA>
330900003090000-E19940000219940101200906014취소/말소/만료/정지/중지19사용중지20090601<NA><NA><NA><NA>43.0<NA>서울특별시 도봉구 창동 662번지 4호<NA><NA>창1동 비상급수시설2009-06-01 17:16:27I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 도봉구 창동 662번지 4호민간시설창1동 비상급수시설20090601
430900003090000-E19940000319940101201706144취소/말소/만료/정지/중지19사용중지20170614<NA><NA><NA><NA>99.0<NA>서울특별시 도봉구 쌍문동 510번지 1호서울특별시 도봉구 삼양로 620-0 (쌍문동)<NA>동아운수2017-06-14 15:18:18I2018-08-31 23:59:59.0<NA>201183.090093461792.090076서울특별시 도봉구 쌍문동 510번지 1호민간시설동아운수20170614
530900003090000-E19940000519940502201505224취소/말소/만료/정지/중지19사용중지20150522<NA><NA><NA><NA>150.0<NA>서울특별시 도봉구 방학동 720번지서울특별시 도봉구 마들로 656 (방학동)<NA>도봉구청2015-06-11 10:58:16I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 도봉구 방학동 720번지공공시설도봉구청20150522
630900003090000-E19940000619940615201703144취소/말소/만료/정지/중지19사용중지20170314<NA><NA><NA><NA>30.0<NA>서울특별시 도봉구 창동 328번지서울특별시 도봉구 노해로63길 54 (창동)<NA>한성상운2017-03-14 15:41:47I2018-08-31 23:59:59.0<NA>203889.10884461090.570713서울특별시 도봉구 창동 328번지민간시설한성상운20170314
730900003090000-E19940000719940524201811214취소/말소/만료/정지/중지19사용중지20181121<NA><NA><NA><NA>96.0<NA>서울특별시 도봉구 창동 629번지 9호서울특별시 도봉구 도봉로104길 69 (창동)01460삼성식품2018-11-21 14:52:52U2018-11-23 02:37:28.0<NA>203093.401893460121.938675서울특별시 도봉구 창동 629번지 9호민간시설삼성식품20181121
830900003090000-E19940000919940103<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90.0<NA>서울특별시 도봉구 도봉동 620번지 30호서울특별시 도봉구 도봉로 739 (도봉동)01349뉴스타장2017-04-12 09:42:19I2018-08-31 23:59:59.0<NA>203757.898149463128.847137서울특별시 도봉구 도봉동 620번지 30호민간시설뉴스타장<NA>
930900003090000-E19940001119940102<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>65.0<NA>서울특별시 도봉구 도봉동 282번지 30호서울특별시 도봉구 도봉산길 50 (도봉동)01300아진교통(주)2017-04-12 09:42:53I2018-08-31 23:59:59.0<NA>203449.680489465017.323061서울특별시 도봉구 도봉동 282번지 30호민간시설아진교통(주)<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
6730900003090000-E20110003220110519<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90.0<NA>서울특별시 도봉구 쌍문동 653번지서울특별시 도봉구 도봉로 575 (쌍문동, 삼환프라자)01432뉴동궁해수사우나2017-04-26 14:02:41I2018-08-31 23:59:59.0<NA>203348.210557461557.310545서울특별시 도봉구 쌍문동 653번지민간시설뉴동궁해수사우나<NA>
6830900003090000-E20110003320110404201706124취소/말소/만료/정지/중지19사용중지20170612<NA><NA><NA><NA>52.0<NA>서울특별시 도봉구 창동 381번지<NA><NA>창골약수터2017-06-12 18:29:00I2018-08-31 23:59:59.0<NA>204221.27954460080.285814서울특별시 도봉구 창동 381번지공공시설창골약수터20170612
6930900003090000-E2012000012012-12-04<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>58.0<NA>서울특별시 도봉구 방학동 593번지 2호서울특별시 도봉구 방학로 298 (방학동)01317우이정 풍천장어2023-02-06 17:06:01U2022-12-02 00:08:00.0<NA>201631.695942462282.959658<NA><NA><NA><NA>
7030900003090000-E20170000120170710<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>63.0<NA>서울특별시 도봉구 방학동 636번지서울특별시 도봉구 도당로15길 36 (방학동, 송학휴스테이)01354송학휴스테이 아파트 지하관정2017-07-10 11:17:07I2018-08-31 23:59:59.0<NA>203118.296213462734.266078서울특별시 도봉구 방학동 636번지민간시설송학휴스테이 아파트 지하관정<NA>
7130900003090000-E20180000120181126<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>40.0<NA>서울특별시 도봉구 방학동 270번지 1호서울특별시 도봉구 시루봉로6길 33 (방학동)01387발바닥 공원2018-11-28 13:51:08I2018-11-30 02:20:02.0<NA>202680.615331461932.925594서울특별시 도봉구 방학동 270번지 1호공공시설발바닥 공원<NA>
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7330900003090000-E20180000320181126<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>48.0<NA>서울특별시 도봉구 도봉동 644번지서울특별시 도봉구 마들로 891 (도봉동, 도봉파크빌3단지아파트)01318만남의 광장2018-11-28 15:03:47I2018-11-30 02:20:02.0<NA>204222.46195465025.246647서울특별시 도봉구 도봉동 644번지공공시설만남의 광장<NA>
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