Overview

Dataset statistics

Number of variables29
Number of observations55
Missing cells426
Missing cells (%)26.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory250.4 B

Variable types

Categorical11
Text6
DateTime2
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20031/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (83.5%)Imbalance
영업상태코드 is highly imbalanced (77.5%)Imbalance
영업상태명 is highly imbalanced (77.5%)Imbalance
상세영업상태코드 is highly imbalanced (77.5%)Imbalance
상세영업상태명 is highly imbalanced (77.5%)Imbalance
폐업일자 is highly imbalanced (83.5%)Imbalance
데이터갱신구분 is highly imbalanced (77.5%)Imbalance
시설구분명 is highly imbalanced (54.8%)Imbalance
해제일자 is highly imbalanced (83.5%)Imbalance
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 55 (100.0%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.8%) missing valuesMissing
좌표정보(Y) has 1 (1.8%) missing valuesMissing
비상시설위치 has 47 (85.5%) missing valuesMissing
시설명_건물명 has 47 (85.5%) missing valuesMissing
관리번호 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

Reproduction

Analysis started2024-05-11 08:48:40.072775
Analysis finished2024-05-11 08:48:40.917709
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3040000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 55
100.0%

Length

2024-05-11T08:48:41.093908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:41.340923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T08:48:41.726043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters990
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

Unique55 ?
Unique (%)100.0%

Sample

1st row3040000-S199200001
2nd row3040000-S201200001
3rd row3040000-S201100005
4th row3040000-S199800001
5th row3040000-S200900002
ValueCountFrequency (%)
3040000-s199200001 1
 
1.8%
3040000-s197900001 1
 
1.8%
3040000-s199000003 1
 
1.8%
3040000-s199400005 1
 
1.8%
3040000-s198900004 1
 
1.8%
3040000-s199200004 1
 
1.8%
3040000-s198900003 1
 
1.8%
3040000-s198900005 1
 
1.8%
3040000-s199600009 1
 
1.8%
3040000-s197000001 1
 
1.8%
Other values (45) 45
81.8%
2024-05-11T08:48:42.592105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 530
53.5%
1 75
 
7.6%
4 67
 
6.8%
9 67
 
6.8%
3 62
 
6.3%
- 55
 
5.6%
S 55
 
5.6%
2 41
 
4.1%
8 12
 
1.2%
6 10
 
1.0%
Other values (2) 16
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
88.9%
Dash Punctuation 55
 
5.6%
Uppercase Letter 55
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 530
60.2%
1 75
 
8.5%
4 67
 
7.6%
9 67
 
7.6%
3 62
 
7.0%
2 41
 
4.7%
8 12
 
1.4%
6 10
 
1.1%
5 8
 
0.9%
7 8
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 935
94.4%
Latin 55
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 530
56.7%
1 75
 
8.0%
4 67
 
7.2%
9 67
 
7.2%
3 62
 
6.6%
- 55
 
5.9%
2 41
 
4.4%
8 12
 
1.3%
6 10
 
1.1%
5 8
 
0.9%
Latin
ValueCountFrequency (%)
S 55
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 530
53.5%
1 75
 
7.6%
4 67
 
6.8%
9 67
 
6.8%
3 62
 
6.3%
- 55
 
5.6%
S 55
 
5.6%
2 41
 
4.1%
8 12
 
1.2%
6 10
 
1.0%
Other values (2) 16
 
1.6%

인허가일자
Date

Distinct41
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1975-10-10 00:00:00
Maximum2022-03-30 00:00:00
2024-05-11T08:48:43.070219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:43.522395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
43679
 
1
43059
 
1

Length

Max length5
Median length4
Mean length4.0363636
Min length4

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
96.4%
43679 1
 
1.8%
43059 1
 
1.8%

Length

2024-05-11T08:48:44.217301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:44.657730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
43679 1
 
1.8%
43059 1
 
1.8%

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
53 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
96.4%
4 2
 
3.6%

Length

2024-05-11T08:48:44.996989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:45.347594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
96.4%
4 2
 
3.6%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
53 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length5.3272727
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 53
96.4%
취소/말소/만료/정지/중지 2
 
3.6%

Length

2024-05-11T08:48:45.739226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:46.018302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 53
96.4%
취소/말소/만료/정지/중지 2
 
3.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
18
53 
19
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
18 53
96.4%
19 2
 
3.6%

Length

2024-05-11T08:48:46.527101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:46.900323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 53
96.4%
19 2
 
3.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
사용중
53 
사용중지
 
2

Length

Max length4
Median length3
Mean length3.0363636
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 53
96.4%
사용중지 2
 
3.6%

Length

2024-05-11T08:48:47.361489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:47.858181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 53
96.4%
사용중지 2
 
3.6%

폐업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
43679
 
1
43059
 
1

Length

Max length5
Median length4
Mean length4.0363636
Min length4

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
96.4%
43679 1
 
1.8%
43059 1
 
1.8%

Length

2024-05-11T08:48:48.274994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:48.778682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
43679 1
 
1.8%
43059 1
 
1.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지면적
Real number (ℝ)

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5496.5685
Minimum88
Maximum46290.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T08:48:49.191388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88
5-th percentile132.161
Q1677.71
median1913.38
Q37799.435
95-th percentile16257.922
Maximum46290.7
Range46202.7
Interquartile range (IQR)7121.725

Descriptive statistics

Standard deviation9108.2305
Coefficient of variation (CV)1.6570758
Kurtosis13.389893
Mean5496.5685
Median Absolute Deviation (MAD)1548.38
Skewness3.4353887
Sum302311.27
Variance82959862
MonotonicityNot monotonic
2024-05-11T08:48:49.793864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
682.42 2
 
3.6%
132.0 2
 
3.6%
132.23 1
 
1.8%
826.45 1
 
1.8%
8765.0 1
 
1.8%
15199.0 1
 
1.8%
5034.73 1
 
1.8%
2510.81 1
 
1.8%
7257.58 1
 
1.8%
3142.0 1
 
1.8%
Other values (43) 43
78.2%
ValueCountFrequency (%)
88.0 1
1.8%
132.0 2
3.6%
132.23 1
1.8%
149.0 1
1.8%
165.0 1
1.8%
330.58 1
1.8%
365.0 1
1.8%
388.29 1
1.8%
422.0 1
1.8%
518.0 1
1.8%
ValueCountFrequency (%)
46290.7 1
1.8%
45950.8 1
1.8%
18728.74 1
1.8%
15199.0 1
1.8%
11920.92 1
1.8%
11520.0 1
1.8%
10734.2 1
1.8%
10168.64 1
1.8%
10128.97 1
1.8%
9414.26 1
1.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

지번주소
Text

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T08:48:50.508827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length21.781818
Min length18

Characters and Unicode

Total characters1198
Distinct characters64
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)87.3%

Sample

1st row서울특별시 광진구 구의동 587번지 29호
2nd row서울특별시 광진구 능동 222번지 3호
3rd row서울특별시 광진구 능동 232-4 능동주민센터
4th row서울특별시 광진구 구의동 546번지 4호
5th row서울특별시 광진구 자양동 856 이튼타워리버5차
ValueCountFrequency (%)
서울특별시 55
21.2%
광진구 55
21.2%
구의동 14
 
5.4%
자양동 12
 
4.6%
중곡동 9
 
3.5%
1호 9
 
3.5%
광장동 8
 
3.1%
군자동 7
 
2.7%
능동 6
 
2.3%
237번지 4
 
1.5%
Other values (68) 80
30.9%
2024-05-11T08:48:52.118561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
17.0%
구 69
 
5.8%
광 63
 
5.3%
동 58
 
4.8%
서 56
 
4.7%
울 56
 
4.7%
특 55
 
4.6%
별 55
 
4.6%
시 55
 
4.6%
진 55
 
4.6%
Other values (54) 472
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 780
65.1%
Decimal Number 207
 
17.3%
Space Separator 204
 
17.0%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
 
8.8%
광 63
 
8.1%
동 58
 
7.4%
서 56
 
7.2%
울 56
 
7.2%
특 55
 
7.1%
별 55
 
7.1%
시 55
 
7.1%
진 55
 
7.1%
번 45
 
5.8%
Other values (42) 213
27.3%
Decimal Number
ValueCountFrequency (%)
1 32
15.5%
2 29
14.0%
6 25
12.1%
8 24
11.6%
4 22
10.6%
5 22
10.6%
7 21
10.1%
3 17
8.2%
9 9
 
4.3%
0 6
 
2.9%
Space Separator
ValueCountFrequency (%)
204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 780
65.1%
Common 418
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
 
8.8%
광 63
 
8.1%
동 58
 
7.4%
서 56
 
7.2%
울 56
 
7.2%
특 55
 
7.1%
별 55
 
7.1%
시 55
 
7.1%
진 55
 
7.1%
번 45
 
5.8%
Other values (42) 213
27.3%
Common
ValueCountFrequency (%)
204
48.8%
1 32
 
7.7%
2 29
 
6.9%
6 25
 
6.0%
8 24
 
5.7%
4 22
 
5.3%
5 22
 
5.3%
7 21
 
5.0%
3 17
 
4.1%
9 9
 
2.2%
Other values (2) 13
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 780
65.1%
ASCII 418
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
48.8%
1 32
 
7.7%
2 29
 
6.9%
6 25
 
6.0%
8 24
 
5.7%
4 22
 
5.3%
5 22
 
5.3%
7 21
 
5.0%
3 17
 
4.1%
9 9
 
2.2%
Other values (2) 13
 
3.1%
Hangul
ValueCountFrequency (%)
구 69
 
8.8%
광 63
 
8.1%
동 58
 
7.4%
서 56
 
7.2%
울 56
 
7.2%
특 55
 
7.1%
별 55
 
7.1%
시 55
 
7.1%
진 55
 
7.1%
번 45
 
5.8%
Other values (42) 213
27.3%

도로명주소
Text

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T08:48:52.882948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length33.418182
Min length21

Characters and Unicode

Total characters1838
Distinct characters137
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

Unique48 ?
Unique (%)87.3%

Sample

1st row서울특별시 광진구 강변역로 17 (구의동, 구의제3동 복합청사)
2nd row서울특별시 광진구 천호대로 572 (능동)
3rd row서울특별시 광진구 천호대로112길 55, 능동주민센터 (능동)
4th row서울특별시 광진구 광나루로56길 85 (구의동, 테크노마트)
5th row서울특별시 광진구 능동로4길 40, 지하주차장 1층 (자양동, 이튼타워리버5차)
ValueCountFrequency (%)
서울특별시 55
 
16.3%
광진구 55
 
16.3%
구의동 14
 
4.2%
자양동 12
 
3.6%
중곡동 9
 
2.7%
광장동 8
 
2.4%
능동로 7
 
2.1%
군자동 7
 
2.1%
지하 5
 
1.5%
능동 5
 
1.5%
Other values (124) 160
47.5%
2024-05-11T08:48:54.350147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
 
15.4%
동 84
 
4.6%
구 78
 
4.2%
광 77
 
4.2%
서 57
 
3.1%
울 57
 
3.1%
시 56
 
3.0%
로 56
 
3.0%
특 55
 
3.0%
별 55
 
3.0%
Other values (127) 980
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1193
64.9%
Space Separator 283
 
15.4%
Decimal Number 205
 
11.2%
Open Punctuation 54
 
2.9%
Close Punctuation 54
 
2.9%
Other Punctuation 49
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 84
 
7.0%
구 78
 
6.5%
광 77
 
6.5%
서 57
 
4.8%
울 57
 
4.8%
시 56
 
4.7%
로 56
 
4.7%
특 55
 
4.6%
별 55
 
4.6%
진 55
 
4.6%
Other values (113) 563
47.2%
Decimal Number
ValueCountFrequency (%)
1 31
15.1%
3 28
13.7%
2 27
13.2%
5 25
12.2%
4 23
11.2%
6 22
10.7%
7 21
10.2%
0 11
 
5.4%
9 9
 
4.4%
8 8
 
3.9%
Space Separator
ValueCountFrequency (%)
283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1193
64.9%
Common 645
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 84
 
7.0%
구 78
 
6.5%
광 77
 
6.5%
서 57
 
4.8%
울 57
 
4.8%
시 56
 
4.7%
로 56
 
4.7%
특 55
 
4.6%
별 55
 
4.6%
진 55
 
4.6%
Other values (113) 563
47.2%
Common
ValueCountFrequency (%)
283
43.9%
( 54
 
8.4%
) 54
 
8.4%
, 49
 
7.6%
1 31
 
4.8%
3 28
 
4.3%
2 27
 
4.2%
5 25
 
3.9%
4 23
 
3.6%
6 22
 
3.4%
Other values (4) 49
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1193
64.9%
ASCII 645
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
43.9%
( 54
 
8.4%
) 54
 
8.4%
, 49
 
7.6%
1 31
 
4.8%
3 28
 
4.3%
2 27
 
4.2%
5 25
 
3.9%
4 23
 
3.6%
6 22
 
3.4%
Other values (4) 49
 
7.6%
Hangul
ValueCountFrequency (%)
동 84
 
7.0%
구 78
 
6.5%
광 77
 
6.5%
서 57
 
4.8%
울 57
 
4.8%
시 56
 
4.7%
로 56
 
4.7%
특 55
 
4.6%
별 55
 
4.6%
진 55
 
4.6%
Other values (113) 563
47.2%

도로명우편번호
Real number (ℝ)

Distinct39
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5012.9636
Minimum4900
Maximum5119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T08:48:54.832857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4900
5-th percentile4904
Q14969
median5004
Q35068.5
95-th percentile5116
Maximum5119
Range219
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation67.062702
Coefficient of variation (CV)0.013377855
Kurtosis-0.9926529
Mean5012.9636
Median Absolute Deviation (MAD)44
Skewness-0.044985565
Sum275713
Variance4497.4061
MonotonicityNot monotonic
2024-05-11T08:48:55.262098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5038 5
 
9.1%
5116 4
 
7.3%
4997 3
 
5.5%
4969 3
 
5.5%
4968 2
 
3.6%
4974 2
 
3.6%
4904 2
 
3.6%
5006 2
 
3.6%
4991 2
 
3.6%
4967 1
 
1.8%
Other values (29) 29
52.7%
ValueCountFrequency (%)
4900 1
1.8%
4901 1
1.8%
4904 2
3.6%
4905 1
1.8%
4908 1
1.8%
4911 1
1.8%
4915 1
1.8%
4933 1
1.8%
4954 1
1.8%
4967 1
1.8%
ValueCountFrequency (%)
5119 1
 
1.8%
5117 1
 
1.8%
5116 4
7.3%
5108 1
 
1.8%
5096 1
 
1.8%
5091 1
 
1.8%
5090 1
 
1.8%
5086 1
 
1.8%
5079 1
 
1.8%
5074 1
 
1.8%

사업장명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T08:48:55.949652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length16.709091
Min length8

Characters and Unicode

Total characters919
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row구의3동주민센터 지하주차장 1~2층
2nd row범천타워 지하 1~4층
3rd row능동 주민센터 지하 1층
4th row테크노마트 지하주차장 1~5층
5th row이튼타워리버5차아파트 지하주차장 1~2층
ValueCountFrequency (%)
지하주차장 29
 
17.1%
1~2층 14
 
8.2%
지하1층 14
 
8.2%
1층 12
 
7.1%
지하 11
 
6.5%
주민센터 6
 
3.5%
주차장 4
 
2.4%
지하1~2층 3
 
1.8%
군자동 2
 
1.2%
1~4층 2
 
1.2%
Other values (68) 73
42.9%
2024-05-11T08:48:57.193036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
12.6%
지 66
 
7.2%
하 61
 
6.6%
1 56
 
6.1%
층 54
 
5.9%
주 44
 
4.8%
차 38
 
4.1%
장 37
 
4.0%
~ 26
 
2.8%
트 21
 
2.3%
Other values (127) 400
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 673
73.2%
Space Separator 116
 
12.6%
Decimal Number 99
 
10.8%
Math Symbol 26
 
2.8%
Uppercase Letter 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 66
 
9.8%
하 61
 
9.1%
층 54
 
8.0%
주 44
 
6.5%
차 38
 
5.6%
장 37
 
5.5%
트 21
 
3.1%
아 21
 
3.1%
파 20
 
3.0%
동 19
 
2.8%
Other values (111) 292
43.4%
Decimal Number
ValueCountFrequency (%)
1 56
56.6%
2 21
 
21.2%
3 10
 
10.1%
5 4
 
4.0%
7 2
 
2.0%
6 2
 
2.0%
4 2
 
2.0%
0 1
 
1.0%
8 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 673
73.2%
Common 244
 
26.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 66
 
9.8%
하 61
 
9.1%
층 54
 
8.0%
주 44
 
6.5%
차 38
 
5.6%
장 37
 
5.5%
트 21
 
3.1%
아 21
 
3.1%
파 20
 
3.0%
동 19
 
2.8%
Other values (111) 292
43.4%
Common
ValueCountFrequency (%)
116
47.5%
1 56
23.0%
~ 26
 
10.7%
2 21
 
8.6%
3 10
 
4.1%
5 4
 
1.6%
7 2
 
0.8%
6 2
 
0.8%
4 2
 
0.8%
) 1
 
0.4%
Other values (4) 4
 
1.6%
Latin
ValueCountFrequency (%)
A 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 673
73.2%
ASCII 246
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
47.2%
1 56
22.8%
~ 26
 
10.6%
2 21
 
8.5%
3 10
 
4.1%
5 4
 
1.6%
7 2
 
0.8%
6 2
 
0.8%
4 2
 
0.8%
) 1
 
0.4%
Other values (6) 6
 
2.4%
Hangul
ValueCountFrequency (%)
지 66
 
9.8%
하 61
 
9.1%
층 54
 
8.0%
주 44
 
6.5%
차 38
 
5.6%
장 37
 
5.5%
트 21
 
3.1%
아 21
 
3.1%
파 20
 
3.0%
동 19
 
2.8%
Other values (111) 292
43.4%

최종수정일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2017-11-20 17:03:05
Maximum2024-01-26 12:18:27
2024-05-11T08:48:57.826480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:58.353694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
U
53 
I
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 53
96.4%
I 2
 
3.6%

Length

2024-05-11T08:48:59.019999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:59.337829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 53
96.4%
i 2
 
3.6%

데이터갱신일자
Categorical

Distinct12
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-11-30 22:08:00.0
9 
2023-12-01 00:05:00.0
9 
2022-10-30 22:07:00.0
8 
2023-11-30 23:03:00.0
8 
2023-11-30 22:04:00.0
6 
Other values (7)
15 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)5.5%

Sample

1st row2022-10-30 22:07:00.0
2nd row2023-11-30 22:08:00.0
3rd row2023-11-30 22:08:00.0
4th row2022-10-30 22:07:00.0
5th row2023-11-30 22:08:00.0

Common Values

ValueCountFrequency (%)
2023-11-30 22:08:00.0 9
16.4%
2023-12-01 00:05:00.0 9
16.4%
2022-10-30 22:07:00.0 8
14.5%
2023-11-30 23:03:00.0 8
14.5%
2023-11-30 22:04:00.0 6
10.9%
2022-10-30 22:09:00.0 4
7.3%
2023-07-01 02:40:00.0 3
 
5.5%
2023-06-21 02:40:00.0 3
 
5.5%
2023-11-30 22:05:00.0 2
 
3.6%
2022-12-06 21:00:00.0 1
 
1.8%
Other values (2) 2
 
3.6%

Length

2024-05-11T08:48:59.702555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-11-30 25
22.7%
2022-10-30 12
10.9%
2023-12-01 9
 
8.2%
00:05:00.0 9
 
8.2%
22:08:00.0 9
 
8.2%
22:07:00.0 8
 
7.3%
23:03:00.0 8
 
7.3%
22:04:00.0 6
 
5.5%
02:40:00.0 6
 
5.5%
22:09:00.0 4
 
3.6%
Other values (9) 14
12.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)92.6%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean207424.57
Minimum205525.54
Maximum209668.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T08:49:00.096462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205525.54
5-th percentile206008.66
Q1206736.14
median207174.73
Q3208107.99
95-th percentile209446.45
Maximum209668.9
Range4143.3662
Interquartile range (IQR)1371.8473

Descriptive statistics

Standard deviation1025.6209
Coefficient of variation (CV)0.0049445486
Kurtosis-0.29885959
Mean207424.57
Median Absolute Deviation (MAD)693.66843
Skewness0.48757989
Sum11200927
Variance1051898.2
MonotonicityNot monotonic
2024-05-11T08:49:00.527191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207503.447040486 3
 
5.5%
206481.062740469 2
 
3.6%
207603.589633807 2
 
3.6%
208058.302714215 1
 
1.8%
207560.29925004 1
 
1.8%
209077.210112827 1
 
1.8%
209523.395129627 1
 
1.8%
208738.952014366 1
 
1.8%
209668.90120464 1
 
1.8%
209405.013333756 1
 
1.8%
Other values (40) 40
72.7%
ValueCountFrequency (%)
205525.535034662 1
1.8%
205682.248083663 1
1.8%
205965.564760877 1
1.8%
206031.860086066 1
1.8%
206120.623915253 1
1.8%
206172.464247361 1
1.8%
206348.177069053 1
1.8%
206369.820110037 1
1.8%
206444.117386218 1
1.8%
206481.062740469 2
3.6%
ValueCountFrequency (%)
209668.90120464 1
1.8%
209637.078215509 1
1.8%
209523.395129627 1
1.8%
209405.013333756 1
1.8%
209077.210112827 1
1.8%
209040.907788681 1
1.8%
208738.952014366 1
1.8%
208644.819209521 1
1.8%
208558.286631653 1
1.8%
208394.416382167 1
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)92.6%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean449347.27
Minimum447331.9
Maximum452117.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T08:49:01.061339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447331.9
5-th percentile447873.19
Q1448289.89
median449075.47
Q3450199.35
95-th percentile451758.41
Maximum452117.47
Range4785.5671
Interquartile range (IQR)1909.461

Descriptive statistics

Standard deviation1234.2428
Coefficient of variation (CV)0.0027467459
Kurtosis-0.58228754
Mean449347.27
Median Absolute Deviation (MAD)874.83718
Skewness0.57414019
Sum24264753
Variance1523355.2
MonotonicityNot monotonic
2024-05-11T08:49:01.589873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448911.929480104 3
 
5.5%
449832.323358171 2
 
3.6%
448933.812411749 2
 
3.6%
448420.77576793 1
 
1.8%
450223.627198404 1
 
1.8%
449217.125352358 1
 
1.8%
449429.706137784 1
 
1.8%
448858.223522999 1
 
1.8%
449767.964721034 1
 
1.8%
449625.418935534 1
 
1.8%
Other values (40) 40
72.7%
ValueCountFrequency (%)
447331.904249819 1
1.8%
447773.215918711 1
1.8%
447812.924832297 1
1.8%
447905.636610358 1
1.8%
447953.23184252 1
1.8%
447967.299542306 1
1.8%
447996.352901674 1
1.8%
448033.296610474 1
1.8%
448125.110397476 1
1.8%
448158.641460407 1
1.8%
ValueCountFrequency (%)
452117.471356011 1
1.8%
451839.954464633 1
1.8%
451817.074461504 1
1.8%
451726.824779759 1
1.8%
451435.772826853 1
1.8%
451417.864438667 1
1.8%
450927.134340395 1
1.8%
450870.122385357 1
1.8%
450498.146738913 1
1.8%
450416.391294215 1
1.8%

비상시설위치
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing47
Missing (%)85.5%
Memory size572.0 B
2024-05-11T08:49:01.986375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length21.25
Min length19

Characters and Unicode

Total characters170
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st row서울특별시 광진구 구의동 238번지 1호
2nd row서울특별시 광진구 구의동 237번지 6호
3rd row서울특별시 광진구 자양동 858번지
4th row서울특별시 광진구 자양동 784번지 1호
5th row서울특별시 광진구 자양동 830번지
ValueCountFrequency (%)
서울특별시 8
21.1%
광진구 8
21.1%
구의동 5
13.2%
237번지 3
 
7.9%
6호 3
 
7.9%
1호 3
 
7.9%
자양동 3
 
7.9%
238번지 2
 
5.3%
858번지 1
 
2.6%
784번지 1
 
2.6%
2024-05-11T08:49:02.914714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
17.6%
구 13
 
7.6%
서 8
 
4.7%
번 8
 
4.7%
특 8
 
4.7%
별 8
 
4.7%
시 8
 
4.7%
광 8
 
4.7%
진 8
 
4.7%
동 8
 
4.7%
Other values (15) 63
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
64.7%
Space Separator 30
 
17.6%
Decimal Number 30
 
17.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 13
11.8%
서 8
 
7.3%
번 8
 
7.3%
특 8
 
7.3%
별 8
 
7.3%
시 8
 
7.3%
광 8
 
7.3%
진 8
 
7.3%
동 8
 
7.3%
울 8
 
7.3%
Other values (5) 25
22.7%
Decimal Number
ValueCountFrequency (%)
8 6
20.0%
3 6
20.0%
2 5
16.7%
7 4
13.3%
6 3
10.0%
1 3
10.0%
5 1
 
3.3%
4 1
 
3.3%
0 1
 
3.3%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
64.7%
Common 60
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 13
11.8%
서 8
 
7.3%
번 8
 
7.3%
특 8
 
7.3%
별 8
 
7.3%
시 8
 
7.3%
광 8
 
7.3%
진 8
 
7.3%
동 8
 
7.3%
울 8
 
7.3%
Other values (5) 25
22.7%
Common
ValueCountFrequency (%)
30
50.0%
8 6
 
10.0%
3 6
 
10.0%
2 5
 
8.3%
7 4
 
6.7%
6 3
 
5.0%
1 3
 
5.0%
5 1
 
1.7%
4 1
 
1.7%
0 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
64.7%
ASCII 60
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
50.0%
8 6
 
10.0%
3 6
 
10.0%
2 5
 
8.3%
7 4
 
6.7%
6 3
 
5.0%
1 3
 
5.0%
5 1
 
1.7%
4 1
 
1.7%
0 1
 
1.7%
Hangul
ValueCountFrequency (%)
구 13
11.8%
서 8
 
7.3%
번 8
 
7.3%
특 8
 
7.3%
별 8
 
7.3%
시 8
 
7.3%
광 8
 
7.3%
진 8
 
7.3%
동 8
 
7.3%
울 8
 
7.3%
Other values (5) 25
22.7%

시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
47 
공공용시설
6 
공공시설
 
2

Length

Max length5
Median length4
Mean length4.1090909
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
85.5%
공공용시설 6
 
10.9%
공공시설 2
 
3.6%

Length

2024-05-11T08:49:03.603409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:49:03.978255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
85.5%
공공용시설 6
 
10.9%
공공시설 2
 
3.6%

시설명_건물명
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing47
Missing (%)85.5%
Memory size572.0 B
2024-05-11T08:49:04.397157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16.5
Mean length13.875
Min length8

Characters and Unicode

Total characters111
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row동국대사대부여고 지하1층
2nd row구의1동 주민센터 주차장 지하1층
3rd row한영해시안아파트 지하주차장 1층
4th row자양대동아파트 지하주차장 1층
5th row한강아남아파트 지하주차장 1층
ValueCountFrequency (%)
지하1층 3
15.0%
지하주차장 3
15.0%
1층 3
15.0%
구의1동 2
10.0%
주민센터 2
10.0%
동국대사대부여고 1
 
5.0%
주차장 1
 
5.0%
한영해시안아파트 1
 
5.0%
자양대동아파트 1
 
5.0%
한강아남아파트 1
 
5.0%
Other values (2) 2
10.0%
2024-05-11T08:49:05.316066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
11.7%
1 9
 
8.1%
주 7
 
6.3%
동 6
 
5.4%
지 6
 
5.4%
하 6
 
5.4%
층 6
 
5.4%
대 5
 
4.5%
아 4
 
3.6%
장 4
 
3.6%
Other values (23) 45
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
80.2%
Space Separator 13
 
11.7%
Decimal Number 9
 
8.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7
 
7.9%
동 6
 
6.7%
지 6
 
6.7%
하 6
 
6.7%
층 6
 
6.7%
대 5
 
5.6%
아 4
 
4.5%
장 4
 
4.5%
차 4
 
4.5%
민 3
 
3.4%
Other values (21) 38
42.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Decimal Number
ValueCountFrequency (%)
1 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
80.2%
Common 22
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7
 
7.9%
동 6
 
6.7%
지 6
 
6.7%
하 6
 
6.7%
층 6
 
6.7%
대 5
 
5.6%
아 4
 
4.5%
장 4
 
4.5%
차 4
 
4.5%
민 3
 
3.4%
Other values (21) 38
42.7%
Common
ValueCountFrequency (%)
13
59.1%
1 9
40.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
80.2%
ASCII 22
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
59.1%
1 9
40.9%
Hangul
ValueCountFrequency (%)
주 7
 
7.9%
동 6
 
6.7%
지 6
 
6.7%
하 6
 
6.7%
층 6
 
6.7%
대 5
 
5.6%
아 4
 
4.5%
장 4
 
4.5%
차 4
 
4.5%
민 3
 
3.4%
Other values (21) 38
42.7%

해제일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
20190802
 
1
20171120
 
1

Length

Max length8
Median length4
Mean length4.1454545
Min length4

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
96.4%
20190802 1
 
1.8%
20171120 1
 
1.8%

Length

2024-05-11T08:49:05.728998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:49:06.107552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
20190802 1
 
1.8%
20171120 1
 
1.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030400003040000-S1992000012012-01-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>132.23<NA>서울특별시 광진구 구의동 587번지 29호서울특별시 광진구 강변역로 17 (구의동, 구의제3동 복합청사)5047구의3동주민센터 지하주차장 1~2층2023-10-25 13:37:27U2022-10-30 22:07:00.0<NA>208058.302714448420.775768<NA><NA><NA><NA>
130400003040000-S2012000012012-10-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3372.0<NA>서울특별시 광진구 능동 222번지 3호서울특별시 광진구 천호대로 572 (능동)4985범천타워 지하 1~4층2024-01-26 12:15:50U2023-11-30 22:08:00.0<NA>207107.362226450416.391294<NA><NA><NA><NA>
230400003040000-S2011000052011-07-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>365.0<NA>서울특별시 광진구 능동 232-4 능동주민센터서울특별시 광진구 천호대로112길 55, 능동주민센터 (능동)4989능동 주민센터 지하 1층2024-01-26 12:18:27U2023-11-30 22:08:00.0<NA>207047.940312450169.220785<NA><NA><NA><NA>
330400003040000-S1998000011998-06-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>45950.8<NA>서울특별시 광진구 구의동 546번지 4호서울특별시 광진구 광나루로56길 85 (구의동, 테크노마트)5116테크노마트 지하주차장 1~5층2023-10-25 13:43:02U2022-10-30 22:07:00.0<NA>208394.416382448165.28<NA><NA><NA><NA>
430400003040000-S2009000022009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9414.26<NA>서울특별시 광진구 자양동 856 이튼타워리버5차서울특별시 광진구 능동로4길 40, 지하주차장 1층 (자양동, 이튼타워리버5차)5096이튼타워리버5차아파트 지하주차장 1~2층2024-01-26 11:04:33U2023-11-30 22:08:00.0<NA>206031.860086447773.215919<NA><NA><NA><NA>
530400003040000-S1997000011997-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2475.0<NA>서울특별시 광진구 구의동 587번지 54호서울특별시 광진구 구의강변로3가길 39 (구의동, 구의7단지조합현대아파트)5048현대7단지아파트 지하주차장 1~2층2023-10-25 13:41:09U2022-10-30 22:07:00.0<NA>207967.009167448291.149284<NA><NA><NA><NA>
630400003040000-S1997000021997-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>8250.0<NA>서울특별시 광진구 구의동 631번지 1호서울특별시 광진구 광나루로56길 29 (구의동, 현대프라임아파트)5119현대프라임아파트 지하주차장 1층2023-10-25 13:43:20U2022-10-30 22:07:00.0<NA>208558.286632448353.905156<NA><NA><NA><NA>
730400003040000-S1997000041997-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7743.87<NA>서울특별시 광진구 자양동 783-1 자양7차우성아파트서울특별시 광진구 아차산로36길 39, 지하주차장 1층 (자양동, 자양7차우성아파트)5067자양우성7차아파트 지하주차장 1~2층2024-01-26 11:02:15U2023-11-30 22:08:00.0<NA>206523.420381448235.9834<NA><NA><NA><NA>
830400003040000-S1994000041994-04-29<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4125.0<NA>서울특별시 광진구 구의동 610번지서울특별시 광진구 구의강변로 94 (구의동, 현대아파트)5117현대6단지아파트 지하주차장 1층2023-10-25 13:43:35U2022-10-30 22:07:00.0<NA>208296.833809448475.818787<NA><NA><NA><NA>
930400003040000-S1996000031996-10-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>10168.64<NA>서울특별시 광진구 능동 164번지 1호서울특별시 광진구 능동로 지하 210 (능동, 어린이대공원)4991어린이대공원역 지하 1~3층2024-01-26 12:04:39U2023-11-30 22:08:00.0<NA>207107.488698450106.840024<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
4530400003040000-S2018000012018-03-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1477.0<NA>서울특별시 광진구 중곡동 587번지 2호서울특별시 광진구 동일로 462 (중곡동, 케이티앤지성동지점)4901케이티앤지성동지사 주차장 지하1층2024-01-03 09:49:43U2023-12-01 00:05:00.0<NA>207028.163503452117.471356<NA><NA><NA><NA>
4630400003040000-S1987000012016-03-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7855.0<NA>서울특별시 광진구 중곡동 30번지 1호서울특별시 광진구 용마산로 127 (중곡동, 국립정신건강센터)4933국립정신건강센터 주차장 지하1~2층2024-01-03 09:49:02U2023-12-01 00:05:00.0<NA>207510.076792451417.864439<NA><NA><NA><NA>
4730400003040000-S2011000072011-07-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>422.0<NA>서울특별시 광진구 자양동 630번지 1호서울특별시 광진구 자양로13길 37 (자양동, 자양제1동주민센터)5058자양1동 주민센터 지하주차장 1층2024-01-03 16:23:15U2023-12-01 00:05:00.0<NA>207213.50396448033.29661<NA><NA><NA><NA>
4830400003040000-S2011000032011-07-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>388.29<NA>서울특별시 광진구 중곡동 684번지서울특별시 광진구 동일로76가길 28 (중곡동, 중곡제3동주민센터)4905중곡3동 주민센터 지하1층2024-01-03 09:47:52U2023-12-01 00:05:00.0<NA>207010.378509451839.954465<NA><NA><NA><NA>
4930400003040000-S2009000042009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2488.0<NA>서울특별시 광진구 중곡동 169번지 8호서울특별시 광진구 능동로 447 (중곡동)4904한국중앙교회 지하1층 식당2024-01-03 09:47:33U2023-12-01 00:05:00.0<NA>207438.673176451817.074462<NA><NA><NA><NA>
5030400003040000-S2009000052009-12-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1408.0<NA>서울특별시 광진구 중곡동 168번지 8호서울특별시 광진구 능동로 433 (중곡동, 중곡문화체육센터)4904중곡문화체육센터 주차장 지하1층2024-01-03 09:46:59U2023-12-01 00:05:00.0<NA>207416.176199451726.82478<NA><NA><NA><NA>
5130400003040000-S2018000022018-06-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>10734.2<NA>서울특별시 광진구 자양동 859번지서울특별시 광진구 아차산로 345 (자양동)5026래미안프리미어팰리스아파트 102동 지하주차장 1,2층2024-01-03 09:09:45U2023-12-01 00:05:00.0<NA>207135.958385448386.668907<NA><NA><NA><NA>
5230400003040000-S1996000011996-10-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7233.09<NA>서울특별시 광진구 중곡동 273번지 2호서울특별시 광진구 능동로 지하 417 (중곡동, 7호선 중곡역)4908중곡역 대합실 지하1~3층2024-01-03 09:43:30U2023-12-01 00:05:00.0<NA><NA><NA><NA><NA><NA><NA>
5330400003040000-S1966000011996-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>330.58<NA>서울특별시 광진구 자양동 222-6 서울자양초등학교서울특별시 광진구 아차산로44길 26, 서울자양초등학교 (자양동)5054자양초등학교 강당 지하 1층2024-01-03 16:23:35U2023-12-01 00:05:00.0<NA>206960.736711448289.4755<NA><NA><NA><NA>
5430400003040000-S1960000011982-09-04<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>854.0<NA>서울특별시 광진구 군자동 98번지서울특별시 광진구 능동로 209 (군자동, 세종대학교)5006세종대학교 군자관 지하1층2024-01-22 10:32:48U2023-11-30 22:04:00.0<NA>206481.06274449832.323358<NA><NA><NA><NA>