Overview

Dataset statistics

Number of variables29
Number of observations34
Missing cells318
Missing cells (%)32.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory249.9 B

Variable types

Categorical8
Text6
DateTime4
Unsupported6
Numeric5

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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-20002/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 15 (44.1%) missing valuesMissing
폐업일자 has 15 (44.1%) missing valuesMissing
휴업시작일자 has 34 (100.0%) missing valuesMissing
휴업종료일자 has 34 (100.0%) missing valuesMissing
재개업일자 has 34 (100.0%) missing valuesMissing
전화번호 has 34 (100.0%) missing valuesMissing
소재지우편번호 has 34 (100.0%) missing valuesMissing
도로명주소 has 5 (14.7%) missing valuesMissing
도로명우편번호 has 11 (32.4%) missing valuesMissing
업태구분명 has 34 (100.0%) missing valuesMissing
좌표정보(X) has 10 (29.4%) missing valuesMissing
좌표정보(Y) has 10 (29.4%) missing valuesMissing
비상시설위치 has 14 (41.2%) missing valuesMissing
시설명_건물명 has 14 (41.2%) missing valuesMissing
해제일자 has 20 (58.8%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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
소재지면적 has 1 (2.9%) zerosZeros

Reproduction

Analysis started2024-05-11 06:39:59.318151
Analysis finished2024-05-11 06:40:00.067230
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
3000000
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 34
100.0%

Length

2024-05-11T15:40:00.210373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:00.396069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 34
100.0%

관리번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T15:40:00.644558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters612
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

Unique34 ?
Unique (%)100.0%

Sample

1st row3000000-E197800001
2nd row3000000-E197800002
3rd row3000000-E198200001
4th row3000000-E198400001
5th row3000000-E198600001
ValueCountFrequency (%)
3000000-e197800001 1
 
2.9%
3000000-e197800002 1
 
2.9%
3000000-e201800001 1
 
2.9%
3000000-e201700003 1
 
2.9%
3000000-e201700002 1
 
2.9%
3000000-e201700001 1
 
2.9%
3000000-e200700016 1
 
2.9%
3000000-e200700015 1
 
2.9%
3000000-e200700014 1
 
2.9%
3000000-e199600001 1
 
2.9%
Other values (24) 24
70.6%
2024-05-11T15:40:01.164306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 369
60.3%
1 39
 
6.4%
3 38
 
6.2%
- 34
 
5.6%
E 34
 
5.6%
2 31
 
5.1%
9 22
 
3.6%
7 22
 
3.6%
8 14
 
2.3%
6 4
 
0.7%
Other values (2) 5
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 544
88.9%
Dash Punctuation 34
 
5.6%
Uppercase Letter 34
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 369
67.8%
1 39
 
7.2%
3 38
 
7.0%
2 31
 
5.7%
9 22
 
4.0%
7 22
 
4.0%
8 14
 
2.6%
6 4
 
0.7%
4 3
 
0.6%
5 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 578
94.4%
Latin 34
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 369
63.8%
1 39
 
6.7%
3 38
 
6.6%
- 34
 
5.9%
2 31
 
5.4%
9 22
 
3.8%
7 22
 
3.8%
8 14
 
2.4%
6 4
 
0.7%
4 3
 
0.5%
Latin
ValueCountFrequency (%)
E 34
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 369
60.3%
1 39
 
6.4%
3 38
 
6.2%
- 34
 
5.6%
E 34
 
5.6%
2 31
 
5.1%
9 22
 
3.6%
7 22
 
3.6%
8 14
 
2.3%
6 4
 
0.7%
Other values (2) 5
 
0.8%

인허가일자
Date

Distinct16
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1978-01-02 00:00:00
Maximum2018-11-23 00:00:00
2024-05-11T15:40:01.373066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:01.595034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

인허가취소일자
Date

MISSING 

Distinct15
Distinct (%)78.9%
Missing15
Missing (%)44.1%
Memory size404.0 B
Minimum2007-10-19 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T15:40:01.796935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:02.065606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

영업상태코드
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
4
19 
1
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 19
55.9%
1 15
44.1%

Length

2024-05-11T15:40:02.312940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:02.524873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 19
55.9%
1 15
44.1%

영업상태명
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
취소/말소/만료/정지/중지
19 
영업/정상
15 

Length

Max length14
Median length14
Mean length10.029412
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 19
55.9%
영업/정상 15
44.1%

Length

2024-05-11T15:40:02.727346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:02.901802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 19
55.9%
영업/정상 15
44.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
19
19 
18
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19 19
55.9%
18 15
44.1%

Length

2024-05-11T15:40:03.068017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:03.211127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 19
55.9%
18 15
44.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
사용중지
19 
사용중
15 

Length

Max length4
Median length4
Mean length3.5588235
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 19
55.9%
사용중 15
44.1%

Length

2024-05-11T15:40:03.708525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:03.904434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 19
55.9%
사용중 15
44.1%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)78.9%
Missing15
Missing (%)44.1%
Memory size404.0 B
Minimum2007-10-19 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T15:40:04.060537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:04.292598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

소재지면적
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.32353
Minimum0
Maximum1709
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T15:40:04.516631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56.5
Q184.5
median120
Q3265
95-th percentile590.7
Maximum1709
Range1709
Interquartile range (IQR)180.5

Descriptive statistics

Standard deviation310.3548
Coefficient of variation (CV)1.3188431
Kurtosis15.453059
Mean235.32353
Median Absolute Deviation (MAD)53.5
Skewness3.5398273
Sum8001
Variance96320.104
MonotonicityNot monotonic
2024-05-11T15:40:04.744345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
576 2
 
5.9%
60 2
 
5.9%
86 2
 
5.9%
150 2
 
5.9%
120 2
 
5.9%
96 1
 
2.9%
90 1
 
2.9%
279 1
 
2.9%
618 1
 
2.9%
1709 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
0 1
2.9%
50 1
2.9%
60 2
5.9%
66 1
2.9%
67 1
2.9%
70 1
2.9%
80 1
2.9%
84 1
2.9%
86 2
5.9%
90 1
2.9%
ValueCountFrequency (%)
1709 1
2.9%
618 1
2.9%
576 2
5.9%
484 1
2.9%
432 1
2.9%
418 1
2.9%
295 1
2.9%
279 1
2.9%
223 1
2.9%
201 1
2.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

지번주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T15:40:05.123003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length21.352941
Min length17

Characters and Unicode

Total characters726
Distinct characters70
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 연건동 128번지 8호
2nd row서울특별시 종로구 송현동 34번지
3rd row서울특별시 종로구 삼청동 2번지 2호
4th row서울특별시 종로구 종로5가 314번지 7 호
5th row서울특별시 종로구 낙원동 288번지
ValueCountFrequency (%)
서울특별시 34
20.7%
종로구 33
20.1%
1호 6
 
3.7%
1번지 4
 
2.4%
삼청동 3
 
1.8%
수송동 3
 
1.8%
평창동 3
 
1.8%
구기동 2
 
1.2%
7호 2
 
1.2%
3호 2
 
1.2%
Other values (64) 72
43.9%
2024-05-11T15:40:05.678408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
19.1%
서 37
 
5.1%
종 37
 
5.1%
로 37
 
5.1%
구 36
 
5.0%
번 34
 
4.7%
특 34
 
4.7%
별 34
 
4.7%
시 34
 
4.7%
울 34
 
4.7%
Other values (60) 270
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
65.8%
Space Separator 139
 
19.1%
Decimal Number 107
 
14.7%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
 
7.7%
종 37
 
7.7%
로 37
 
7.7%
구 36
 
7.5%
번 34
 
7.1%
특 34
 
7.1%
별 34
 
7.1%
시 34
 
7.1%
울 34
 
7.1%
지 34
 
7.1%
Other values (47) 127
26.6%
Decimal Number
ValueCountFrequency (%)
1 33
30.8%
2 14
13.1%
3 13
 
12.1%
8 9
 
8.4%
5 9
 
8.4%
9 7
 
6.5%
7 7
 
6.5%
6 6
 
5.6%
0 5
 
4.7%
4 4
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
65.8%
Common 246
33.9%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
 
7.7%
종 37
 
7.7%
로 37
 
7.7%
구 36
 
7.5%
번 34
 
7.1%
특 34
 
7.1%
별 34
 
7.1%
시 34
 
7.1%
울 34
 
7.1%
지 34
 
7.1%
Other values (47) 127
26.6%
Common
ValueCountFrequency (%)
139
56.5%
1 33
 
13.4%
2 14
 
5.7%
3 13
 
5.3%
8 9
 
3.7%
5 9
 
3.7%
9 7
 
2.8%
7 7
 
2.8%
6 6
 
2.4%
0 5
 
2.0%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
65.8%
ASCII 248
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
56.0%
1 33
 
13.3%
2 14
 
5.6%
3 13
 
5.2%
8 9
 
3.6%
5 9
 
3.6%
9 7
 
2.8%
7 7
 
2.8%
6 6
 
2.4%
0 5
 
2.0%
Other values (3) 6
 
2.4%
Hangul
ValueCountFrequency (%)
서 37
 
7.7%
종 37
 
7.7%
로 37
 
7.7%
구 36
 
7.5%
번 34
 
7.1%
특 34
 
7.1%
별 34
 
7.1%
시 34
 
7.1%
울 34
 
7.1%
지 34
 
7.1%
Other values (47) 127
26.6%

도로명주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing5
Missing (%)14.7%
Memory size404.0 B
2024-05-11T15:40:06.118917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length28.965517
Min length22

Characters and Unicode

Total characters840
Distinct characters132
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

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 대학로 57 (연건동, 홍익대학교대학로캠퍼스)
2nd row서울특별시 종로구 율곡로3길 49 (송현동, 덕성여자중학교)
3rd row서울특별시 종로구 북촌로 134-3 (삼청동, 삼청공원)
4th row서울특별시 종로구 삼일대로 428 (낙원동, 낙원상가)
5th row서울특별시 종로구 북촌로 134-3 (삼청동)
ValueCountFrequency (%)
서울특별시 29
 
17.1%
종로구 28
 
16.5%
북촌로 4
 
2.4%
지하 3
 
1.8%
평창동 3
 
1.8%
수송동 3
 
1.8%
삼청동 3
 
1.8%
세종로 2
 
1.2%
종로1길 2
 
1.2%
구기동 2
 
1.2%
Other values (88) 91
53.5%
2024-05-11T15:40:06.841477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
16.8%
로 60
 
7.1%
종 36
 
4.3%
서 32
 
3.8%
구 31
 
3.7%
울 30
 
3.6%
특 29
 
3.5%
별 29
 
3.5%
시 29
 
3.5%
) 29
 
3.5%
Other values (122) 394
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
63.8%
Space Separator 141
 
16.8%
Decimal Number 82
 
9.8%
Close Punctuation 29
 
3.5%
Open Punctuation 29
 
3.5%
Other Punctuation 20
 
2.4%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 60
 
11.2%
종 36
 
6.7%
서 32
 
6.0%
구 31
 
5.8%
울 30
 
5.6%
특 29
 
5.4%
별 29
 
5.4%
시 29
 
5.4%
동 27
 
5.0%
창 8
 
1.5%
Other values (107) 225
42.0%
Decimal Number
ValueCountFrequency (%)
1 19
23.2%
3 12
14.6%
4 12
14.6%
2 11
13.4%
9 7
 
8.5%
8 6
 
7.3%
6 5
 
6.1%
5 5
 
6.1%
7 4
 
4.9%
0 1
 
1.2%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
63.8%
Common 304
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 60
 
11.2%
종 36
 
6.7%
서 32
 
6.0%
구 31
 
5.8%
울 30
 
5.6%
특 29
 
5.4%
별 29
 
5.4%
시 29
 
5.4%
동 27
 
5.0%
창 8
 
1.5%
Other values (107) 225
42.0%
Common
ValueCountFrequency (%)
141
46.4%
) 29
 
9.5%
( 29
 
9.5%
, 20
 
6.6%
1 19
 
6.2%
3 12
 
3.9%
4 12
 
3.9%
2 11
 
3.6%
9 7
 
2.3%
8 6
 
2.0%
Other values (5) 18
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
63.8%
ASCII 304
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
46.4%
) 29
 
9.5%
( 29
 
9.5%
, 20
 
6.6%
1 19
 
6.2%
3 12
 
3.9%
4 12
 
3.9%
2 11
 
3.6%
9 7
 
2.3%
8 6
 
2.0%
Other values (5) 18
 
5.9%
Hangul
ValueCountFrequency (%)
로 60
 
11.2%
종 36
 
6.7%
서 32
 
6.0%
구 31
 
5.8%
울 30
 
5.6%
특 29
 
5.4%
별 29
 
5.4%
시 29
 
5.4%
동 27
 
5.0%
창 8
 
1.5%
Other values (107) 225
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)82.6%
Missing11
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean3112.5217
Minimum3002
Maximum3732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T15:40:07.083731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3002
5-th percentile3009
Q13044
median3062
Q33151
95-th percentile3191.4
Maximum3732
Range730
Interquartile range (IQR)107

Descriptive statistics

Standard deviation148.3993
Coefficient of variation (CV)0.047678156
Kurtosis14.778088
Mean3112.5217
Median Absolute Deviation (MAD)53
Skewness3.5277808
Sum71588
Variance22022.352
MonotonicityNot monotonic
2024-05-11T15:40:07.296570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3152 2
 
5.9%
3009 2
 
5.9%
3012 2
 
5.9%
3050 2
 
5.9%
3186 1
 
2.9%
3047 1
 
2.9%
3192 1
 
2.9%
3045 1
 
2.9%
3043 1
 
2.9%
3060 1
 
2.9%
Other values (9) 9
26.5%
(Missing) 11
32.4%
ValueCountFrequency (%)
3002 1
2.9%
3009 2
5.9%
3012 2
5.9%
3043 1
2.9%
3045 1
2.9%
3047 1
2.9%
3050 2
5.9%
3060 1
2.9%
3062 1
2.9%
3082 1
2.9%
ValueCountFrequency (%)
3732 1
2.9%
3192 1
2.9%
3186 1
2.9%
3154 1
2.9%
3152 2
5.9%
3150 1
2.9%
3140 1
2.9%
3133 1
2.9%
3114 1
2.9%
3082 1
2.9%

사업장명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T15:40:07.615013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.7058824
Min length3

Characters and Unicode

Total characters228
Distinct characters128
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row홍익대대학로캠퍼스
2nd row덕성여중
3rd row삼청공원
4th row청오상가
5th row대일건설
ValueCountFrequency (%)
홍익대대학로캠퍼스 1
 
2.4%
삼환기업 1
 
2.4%
독립문역 1
 
2.4%
5호선 1
 
2.4%
종로3가역 1
 
2.4%
6호선 1
 
2.4%
동묘앞역 1
 
2.4%
창진파크팰리스 1
 
2.4%
교보생명빌딩 1
 
2.4%
덕성여중 1
 
2.4%
Other values (32) 32
76.2%
2024-05-11T15:40:08.112805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
3.5%
대 5
 
2.2%
( 4
 
1.8%
) 4
 
1.8%
청 4
 
1.8%
리 4
 
1.8%
빌 4
 
1.8%
사 4
 
1.8%
공 4
 
1.8%
선 4
 
1.8%
Other values (118) 183
80.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203
89.0%
Space Separator 8
 
3.5%
Decimal Number 7
 
3.1%
Open Punctuation 4
 
1.8%
Close Punctuation 4
 
1.8%
Uppercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 5
 
2.5%
청 4
 
2.0%
리 4
 
2.0%
빌 4
 
2.0%
사 4
 
2.0%
공 4
 
2.0%
선 4
 
2.0%
원 4
 
2.0%
로 4
 
2.0%
소 3
 
1.5%
Other values (109) 163
80.3%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
5 2
28.6%
6 1
 
14.3%
2 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203
89.0%
Common 23
 
10.1%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 5
 
2.5%
청 4
 
2.0%
리 4
 
2.0%
빌 4
 
2.0%
사 4
 
2.0%
공 4
 
2.0%
선 4
 
2.0%
원 4
 
2.0%
로 4
 
2.0%
소 3
 
1.5%
Other values (109) 163
80.3%
Common
ValueCountFrequency (%)
8
34.8%
( 4
17.4%
) 4
17.4%
3 3
 
13.0%
5 2
 
8.7%
6 1
 
4.3%
2 1
 
4.3%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203
89.0%
ASCII 25
 
11.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
32.0%
( 4
16.0%
) 4
16.0%
3 3
 
12.0%
5 2
 
8.0%
6 1
 
4.0%
K 1
 
4.0%
S 1
 
4.0%
2 1
 
4.0%
Hangul
ValueCountFrequency (%)
대 5
 
2.5%
청 4
 
2.0%
리 4
 
2.0%
빌 4
 
2.0%
사 4
 
2.0%
공 4
 
2.0%
선 4
 
2.0%
원 4
 
2.0%
로 4
 
2.0%
소 3
 
1.5%
Other values (109) 163
80.3%

최종수정일자
Date

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2007-10-19 14:26:39
Maximum2024-03-14 13:18:16
2024-05-11T15:40:08.295892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:08.515599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
U
24 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 24
70.6%
I 10
29.4%

Length

2024-05-11T15:40:08.743217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:08.930052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 24
70.6%
i 10
29.4%

데이터갱신일자
Categorical

Distinct14
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2018-08-31 23:59:59.0
10 
2022-12-01 23:09:00.0
6 
2020-01-23 02:40:00.0
5 
2022-12-07 23:00:00.0
2 
2022-12-03 21:00:00.0
2 
Other values (9)
9 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)26.5%

Sample

1st row2020-01-23 02:40:00.0
2nd row2020-01-23 02:40:00.0
3rd row2022-12-01 23:09:00.0
4th row2018-08-31 23:59:59.0
5th row2022-12-01 23:09:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 10
29.4%
2022-12-01 23:09:00.0 6
17.6%
2020-01-23 02:40:00.0 5
14.7%
2022-12-07 23:00:00.0 2
 
5.9%
2022-12-03 21:00:00.0 2
 
5.9%
2022-12-03 23:05:00.0 1
 
2.9%
2021-01-22 02:40:00.0 1
 
2.9%
2023-12-02 23:06:00.0 1
 
2.9%
2021-12-24 02:40:00.0 1
 
2.9%
2022-12-06 23:03:00.0 1
 
2.9%
Other values (4) 4
 
11.8%

Length

2024-05-11T15:40:09.102345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 10
14.7%
02:40:00.0 10
14.7%
23:59:59.0 10
14.7%
2022-12-01 6
8.8%
23:09:00.0 6
8.8%
2020-01-23 5
7.4%
2022-12-03 3
 
4.4%
2022-12-07 2
 
2.9%
23:00:00.0 2
 
2.9%
21:00:00.0 2
 
2.9%
Other values (12) 12
17.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing10
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean198014.99
Minimum196058.44
Maximum201327.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T15:40:09.282862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196058.44
5-th percentile196108.25
Q1197390.83
median198035.39
Q3198590.22
95-th percentile199931.46
Maximum201327.31
Range5268.8713
Interquartile range (IQR)1199.3895

Descriptive statistics

Standard deviation1223.1741
Coefficient of variation (CV)0.0061771792
Kurtosis1.2726961
Mean198014.99
Median Absolute Deviation (MAD)597.20196
Skewness0.61093835
Sum4752359.9
Variance1496154.9
MonotonicityNot monotonic
2024-05-11T15:40:09.515553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
197650.653736722 1
 
2.9%
196605.004340892 1
 
2.9%
196970.195314873 1
 
2.9%
196058.441601385 1
 
2.9%
199078.130630351 1
 
2.9%
201327.312868803 1
 
2.9%
197349.173372741 1
 
2.9%
197993.904628438 1
 
2.9%
198087.664844665 1
 
2.9%
198076.878950513 1
 
2.9%
Other values (14) 14
41.2%
(Missing) 10
29.4%
ValueCountFrequency (%)
196058.441601385 1
2.9%
196092.743907822 1
2.9%
196196.102280624 1
2.9%
196605.004340892 1
2.9%
196970.195314873 1
2.9%
197349.173372741 1
2.9%
197404.720132225 1
2.9%
197565.616826179 1
2.9%
197650.653736722 1
2.9%
197836.22031212 1
2.9%
ValueCountFrequency (%)
201327.312868803 1
2.9%
200059.596083354 1
2.9%
199205.329842153 1
2.9%
199078.130630351 1
2.9%
198838.912965902 1
2.9%
198599.124043054 1
2.9%
198587.255889062 1
2.9%
198334.846526655 1
2.9%
198324.653631679 1
2.9%
198231.702983116 1
2.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing10
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean453397.71
Minimum451932.37
Maximum456212.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T15:40:09.689023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451932.37
5-th percentile451958.89
Q1452252.67
median452776.67
Q3453930.07
95-th percentile456192.41
Maximum456212.94
Range4280.5696
Interquartile range (IQR)1677.3915

Descriptive statistics

Standard deviation1560.1959
Coefficient of variation (CV)0.00344112
Kurtosis-0.41894335
Mean453397.71
Median Absolute Deviation (MAD)595.15617
Skewness1.0704443
Sum10881545
Variance2434211.4
MonotonicityNot monotonic
2024-05-11T15:40:09.882843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
452368.519288991 1
 
2.9%
456212.936293496 1
 
2.9%
456157.325870106 1
 
2.9%
452437.094345339 1
 
2.9%
452252.257775623 1
 
2.9%
452148.826666845 1
 
2.9%
456108.810250198 1
 
2.9%
452032.958591394 1
 
2.9%
452355.919806244 1
 
2.9%
452402.195269511 1
 
2.9%
Other values (14) 14
41.2%
(Missing) 10
29.4%
ValueCountFrequency (%)
451932.36673738 1
2.9%
451945.821955137 1
2.9%
452032.958591394 1
2.9%
452148.826666845 1
2.9%
452214.210961577 1
2.9%
452252.257775623 1
2.9%
452252.812389497 1
2.9%
452355.919806244 1
2.9%
452368.519288991 1
2.9%
452402.195269511 1
2.9%
ValueCountFrequency (%)
456212.936293496 1
2.9%
456198.595931715 1
2.9%
456157.325870106 1
2.9%
456120.471852388 1
2.9%
456108.810250198 1
2.9%
454023.423759632 1
2.9%
453898.945688558 1
2.9%
453840.758796726 1
2.9%
453172.327269583 1
2.9%
453045.800001358 1
2.9%

비상시설위치
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing14
Missing (%)41.2%
Memory size404.0 B
2024-05-11T15:40:10.197405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.65
Min length17

Characters and Unicode

Total characters433
Distinct characters53
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 연건동 128번지 8호
2nd row서울특별시 종로구 송현동 34번지
3rd row서울특별시 종로구 종로5가 314번지 7 호
4th row서울특별시 종로구 교남동 75번지
5th row서울특별시 종로구 삼청동 산 2번지 1호
ValueCountFrequency (%)
서울특별시 20
20.2%
종로구 20
20.2%
1번지 3
 
3.0%
1호 3
 
3.0%
호 2
 
2.0%
117번지 2
 
2.0%
창성동 2
 
2.0%
혜화동 2
 
2.0%
서린동 2
 
2.0%
평창동 2
 
2.0%
Other values (41) 41
41.4%
2024-05-11T15:40:10.701672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
20.3%
서 22
 
5.1%
로 22
 
5.1%
종 22
 
5.1%
지 20
 
4.6%
번 20
 
4.6%
울 20
 
4.6%
구 20
 
4.6%
시 20
 
4.6%
별 20
 
4.6%
Other values (43) 159
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
64.7%
Space Separator 88
 
20.3%
Decimal Number 63
 
14.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
7.9%
로 22
 
7.9%
종 22
 
7.9%
지 20
 
7.1%
번 20
 
7.1%
울 20
 
7.1%
구 20
 
7.1%
시 20
 
7.1%
별 20
 
7.1%
특 20
 
7.1%
Other values (30) 74
26.4%
Decimal Number
ValueCountFrequency (%)
1 18
28.6%
2 8
12.7%
3 8
12.7%
7 6
 
9.5%
8 6
 
9.5%
9 6
 
9.5%
5 4
 
6.3%
4 3
 
4.8%
6 3
 
4.8%
0 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
64.7%
Common 151
34.9%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
7.9%
로 22
 
7.9%
종 22
 
7.9%
지 20
 
7.1%
번 20
 
7.1%
울 20
 
7.1%
구 20
 
7.1%
시 20
 
7.1%
별 20
 
7.1%
특 20
 
7.1%
Other values (30) 74
26.4%
Common
ValueCountFrequency (%)
88
58.3%
1 18
 
11.9%
2 8
 
5.3%
3 8
 
5.3%
7 6
 
4.0%
8 6
 
4.0%
9 6
 
4.0%
5 4
 
2.6%
4 3
 
2.0%
6 3
 
2.0%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
64.7%
ASCII 153
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
57.5%
1 18
 
11.8%
2 8
 
5.2%
3 8
 
5.2%
7 6
 
3.9%
8 6
 
3.9%
9 6
 
3.9%
5 4
 
2.6%
4 3
 
2.0%
6 3
 
2.0%
Other values (3) 3
 
2.0%
Hangul
ValueCountFrequency (%)
서 22
 
7.9%
로 22
 
7.9%
종 22
 
7.9%
지 20
 
7.1%
번 20
 
7.1%
울 20
 
7.1%
구 20
 
7.1%
시 20
 
7.1%
별 20
 
7.1%
특 20
 
7.1%
Other values (30) 74
26.4%

시설구분명
Categorical

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
14 
민간시설
9 
공공시설
5 
자치단체자체시설
4 
정부지원시설
2 

Length

Max length8
Median length4
Mean length4.5882353
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
41.2%
민간시설 9
26.5%
공공시설 5
 
14.7%
자치단체자체시설 4
 
11.8%
정부지원시설 2
 
5.9%

Length

2024-05-11T15:40:10.887430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:11.055220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
41.2%
민간시설 9
26.5%
공공시설 5
 
14.7%
자치단체자체시설 4
 
11.8%
정부지원시설 2
 
5.9%

시설명_건물명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing14
Missing (%)41.2%
Memory size404.0 B
2024-05-11T15:40:11.331192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7
Min length4

Characters and Unicode

Total characters140
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row홍익대대학로캠퍼스
2nd row덕성여중
3rd row청오상가
4th row신정목욕탕
5th row삼청공원2(약수터)
ValueCountFrequency (%)
경복궁관리소 1
 
4.0%
시설관리공단 1
 
4.0%
평창길 1
 
4.0%
정부기록문서보존소 1
 
4.0%
한국대학생선교회 1
 
4.0%
재단법인 1
 
4.0%
종로3가역 1
 
4.0%
5호선 1
 
4.0%
삼환기업 1
 
4.0%
대림산업 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T15:40:11.745127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
3.6%
대 4
 
2.9%
) 3
 
2.1%
( 3
 
2.1%
정 3
 
2.1%
로 3
 
2.1%
공 3
 
2.1%
청 3
 
2.1%
소 3
 
2.1%
관 3
 
2.1%
Other values (82) 107
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
87.1%
Space Separator 5
 
3.6%
Decimal Number 5
 
3.6%
Close Punctuation 3
 
2.1%
Open Punctuation 3
 
2.1%
Uppercase Letter 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 4
 
3.3%
정 3
 
2.5%
로 3
 
2.5%
공 3
 
2.5%
청 3
 
2.5%
소 3
 
2.5%
관 3
 
2.5%
성 2
 
1.6%
기 2
 
1.6%
업 2
 
1.6%
Other values (74) 94
77.0%
Decimal Number
ValueCountFrequency (%)
5 2
40.0%
3 2
40.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
87.1%
Common 16
 
11.4%
Latin 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 4
 
3.3%
정 3
 
2.5%
로 3
 
2.5%
공 3
 
2.5%
청 3
 
2.5%
소 3
 
2.5%
관 3
 
2.5%
성 2
 
1.6%
기 2
 
1.6%
업 2
 
1.6%
Other values (74) 94
77.0%
Common
ValueCountFrequency (%)
5
31.2%
) 3
18.8%
( 3
18.8%
5 2
 
12.5%
3 2
 
12.5%
2 1
 
6.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
87.1%
ASCII 18
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5
27.8%
) 3
16.7%
( 3
16.7%
5 2
 
11.1%
3 2
 
11.1%
S 1
 
5.6%
K 1
 
5.6%
2 1
 
5.6%
Hangul
ValueCountFrequency (%)
대 4
 
3.3%
정 3
 
2.5%
로 3
 
2.5%
공 3
 
2.5%
청 3
 
2.5%
소 3
 
2.5%
관 3
 
2.5%
성 2
 
1.6%
기 2
 
1.6%
업 2
 
1.6%
Other values (74) 94
77.0%

해제일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing20
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean20142932
Minimum20071019
Maximum20211222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T15:40:11.914307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071019
5-th percentile20071021
Q120081019
median20160262
Q320183494
95-th percentile20210504
Maximum20211222
Range140203
Interquartile range (IQR)102474.5

Descriptive statistics

Standard deviation53938.546
Coefficient of variation (CV)0.0026777902
Kurtosis-1.4269251
Mean20142932
Median Absolute Deviation (MAD)44802
Skewness-0.32740437
Sum2.8200105 × 108
Variance2.9093668 × 109
MonotonicityNot monotonic
2024-05-11T15:40:12.076933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20071022 3
 
8.8%
20160112 1
 
2.9%
20160630 1
 
2.9%
20160411 1
 
2.9%
20071019 1
 
2.9%
20210118 1
 
2.9%
20160519 1
 
2.9%
20111011 1
 
2.9%
20211222 1
 
2.9%
20151214 1
 
2.9%
Other values (2) 2
 
5.9%
(Missing) 20
58.8%
ValueCountFrequency (%)
20071019 1
 
2.9%
20071022 3
8.8%
20111011 1
 
2.9%
20151214 1
 
2.9%
20160112 1
 
2.9%
20160411 1
 
2.9%
20160519 1
 
2.9%
20160630 1
 
2.9%
20191115 1
 
2.9%
20200615 1
 
2.9%
ValueCountFrequency (%)
20211222 1
2.9%
20210118 1
2.9%
20200615 1
2.9%
20191115 1
2.9%
20160630 1
2.9%
20160519 1
2.9%
20160411 1
2.9%
20160112 1
2.9%
20151214 1
2.9%
20111011 1
2.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030000003000000-E19780000119780102<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>96<NA>서울특별시 종로구 연건동 128번지 8호서울특별시 종로구 대학로 57 (연건동, 홍익대학교대학로캠퍼스)3082홍익대대학로캠퍼스2020-01-21 17:27:28U2020-01-23 02:40:00.0<NA>200059.596083452693.946921서울특별시 종로구 연건동 128번지 8호정부지원시설홍익대대학로캠퍼스<NA>
130000003000000-E19780000219780102<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>120<NA>서울특별시 종로구 송현동 34번지서울특별시 종로구 율곡로3길 49 (송현동, 덕성여자중학교)3062덕성여중2020-01-21 17:28:20U2020-01-23 02:40:00.0<NA>198334.846527452859.403045서울특별시 종로구 송현동 34번지정부지원시설덕성여중<NA>
230000003000000-E1982000011982-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>418<NA>서울특별시 종로구 삼청동 2번지 2호서울특별시 종로구 북촌로 134-3 (삼청동, 삼청공원)3050삼청공원2023-02-17 14:19:36U2022-12-01 23:09:00.0<NA>198231.702983454023.42376<NA><NA><NA><NA>
330000003000000-E19840000119840102200710224취소/말소/만료/정지/중지19사용중지20071022<NA><NA><NA><NA>576<NA>서울특별시 종로구 종로5가 314번지 7 호<NA><NA>청오상가2007-10-22 13:39:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 종로구 종로5가 314번지 7 호민간시설청오상가20071022
430000003000000-E1986000011986-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>67<NA>서울특별시 종로구 낙원동 288번지서울특별시 종로구 삼일대로 428 (낙원동, 낙원상가)3140대일건설2023-02-17 09:34:14U2022-12-01 23:09:00.0<NA>198838.912966452214.210962<NA><NA><NA><NA>
530000003000000-E19870000119870101200710224취소/말소/만료/정지/중지19사용중지20071022<NA><NA><NA><NA>432<NA>서울특별시 종로구 교남동 75번지<NA><NA>신정목욕탕2007-10-22 13:28:29I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 종로구 교남동 75번지민간시설신정목욕탕20071022
630000003000000-E19880000120120703201601124취소/말소/만료/정지/중지19사용중지20160112<NA><NA><NA><NA>60<NA>서울특별시 종로구 삼청동 산 2번지 1호서울특별시 종로구 북촌로 134-3 (삼청동)<NA>삼청공원2(약수터)2016-01-21 15:12:22I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 종로구 삼청동 산 2번지 1호공공시설삼청공원2(약수터)20160112
730000003000000-E1992000011992-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>92<NA>서울특별시 종로구 세종로 211번지서울특별시 종로구 세종대로 149 (세종로, 광화문빌딩)3186동화투자개발2023-04-13 09:48:27U2022-12-03 23:05:00.0<NA>197836.220312451932.366737<NA><NA><NA><NA>
830000003000000-E19920000219920101201606304취소/말소/만료/정지/중지19사용중지20160630<NA><NA><NA><NA>152<NA>서울특별시 종로구 서린동 33번지서울특별시 종로구 청계천로 41 (서린동)<NA>영풍개발2016-07-10 14:52:46I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 종로구 서린동 33번지민간시설영풍개발20160630
930000003000000-E19960000119960101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>140<NA>서울특별시 종로구 청운동 89번지 9호서울특별시 종로구 자하문로28가길 9 (청운동, 경복고등학교)3047경복고교2020-01-21 17:31:25U2020-01-23 02:40:00.0<NA>197404.720132453840.758797서울특별시 종로구 청운동 89번지 9호공공시설경복고교<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
2430000003000000-E2007000122007-10-22<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>295<NA>서울특별시 종로구 수송동 146번지 1호서울특별시 종로구 종로1길 42 (수송동, 이마빌딩)3152이마빌딩2023-02-17 09:47:36U2022-12-01 23:09:00.0<NA>198076.878951452402.19527<NA><NA><NA><NA>
2530000003000000-E20070001320071022202112224취소/말소/만료/정지/중지19사용중지20211222<NA><NA><NA><NA>150<NA>서울특별시 종로구 수송동 146번지 12호서울특별시 종로구 종로1길 36 (수송동, 대림빌딩)3152대림산업2021-12-22 16:25:24U2021-12-24 02:40:00.0<NA>198087.664845452355.919806서울특별시 종로구 수송동 146번지 12호민간시설대림산업20211222
2630000003000000-E20070001420071022201512144취소/말소/만료/정지/중지19사용중지20151214<NA><NA><NA><NA>223<NA>서울특별시 종로구 운니동 98번지 20호 삼환빌딩서울특별시 종로구 율곡로 82 (운니동, 삼환빌딩)<NA>삼환기업2016-01-06 10:27:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 종로구 운니동 98번지 20호 삼환빌딩민간시설삼환기업20151214
2730000003000000-E2007000152007-10-222023-04-284취소/말소/만료/정지/중지19사용중지2023-04-28<NA><NA><NA><NA>180<NA>서울특별시 종로구 종로1가 1번지서울특별시 종로구 종로 1 (종로1가, 교보생명빌딩)3154교보생명빌딩2023-04-28 10:58:38U2022-12-03 21:00:00.0<NA>197993.904628452032.958591<NA><NA><NA><NA>
2830000003000000-E2007000162007-10-222023-04-284취소/말소/만료/정지/중지19사용중지2023-04-28<NA><NA><NA><NA>86<NA>서울특별시 종로구 평창동 153번지 3호 창진파크팰리스서울특별시 종로구 평창문화로 87, 창진파크팰리스 (평창동)3009창진파크팰리스2023-04-28 13:14:28U2022-12-03 21:00:00.0<NA>197349.173373456108.81025<NA><NA><NA><NA>
2930000003000000-E2017000012017-04-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1709<NA>서울특별시 종로구 숭인동 316번지 3호서울특별시 종로구 지봉로 지하 24 (숭인동, 6호선 동묘앞역)31146호선 동묘앞역2023-07-10 15:54:11U2022-12-06 23:03:00.0<NA>201327.312869452148.826667<NA><NA><NA><NA>
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