Overview

Dataset statistics

Number of variables29
Number of observations79
Missing cells762
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.1 KiB
Average record size in memory247.7 B

Variable types

Categorical8
Text6
DateTime5
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-20040/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
시설구분명 is highly imbalanced (59.7%)Imbalance
해제일자 is highly imbalanced (83.0%)Imbalance
인허가취소일자 has 67 (84.8%) missing valuesMissing
폐업일자 has 67 (84.8%) missing valuesMissing
휴업시작일자 has 79 (100.0%) missing valuesMissing
휴업종료일자 has 79 (100.0%) missing valuesMissing
재개업일자 has 79 (100.0%) missing valuesMissing
전화번호 has 79 (100.0%) missing valuesMissing
소재지우편번호 has 79 (100.0%) missing valuesMissing
업태구분명 has 79 (100.0%) missing valuesMissing
좌표정보(X) has 8 (10.1%) missing valuesMissing
좌표정보(Y) has 8 (10.1%) missing valuesMissing
비상시설위치 has 69 (87.3%) missing valuesMissing
시설명_건물명 has 69 (87.3%) missing valuesMissing
관리번호 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 05:32:19.606250
Analysis finished2024-05-11 05:32:20.461572
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
3130000
79 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 79
100.0%

Length

2024-05-11T14:32:20.568019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:20.733263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 79
100.0%

관리번호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T14:32:21.030807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1422
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

Unique79 ?
Unique (%)100.0%

Sample

1st row3130000-S200000003
2nd row3130000-S198700004
3rd row3130000-S200500077
4th row3130000-S201900001
5th row3130000-S201000007
ValueCountFrequency (%)
3130000-s200000003 1
 
1.3%
3130000-s200500001 1
 
1.3%
3130000-s201800001 1
 
1.3%
3130000-s201800004 1
 
1.3%
3130000-s198400005 1
 
1.3%
3130000-s198700003 1
 
1.3%
3130000-s199700004 1
 
1.3%
3130000-s201000022 1
 
1.3%
3130000-s201000021 1
 
1.3%
3130000-s200100004 1
 
1.3%
Other values (69) 69
87.3%
2024-05-11T14:32:21.642109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 724
50.9%
3 177
 
12.4%
1 157
 
11.0%
2 91
 
6.4%
- 79
 
5.6%
S 79
 
5.6%
5 25
 
1.8%
7 22
 
1.5%
9 22
 
1.5%
4 19
 
1.3%
Other values (2) 27
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1264
88.9%
Dash Punctuation 79
 
5.6%
Uppercase Letter 79
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 724
57.3%
3 177
 
14.0%
1 157
 
12.4%
2 91
 
7.2%
5 25
 
2.0%
7 22
 
1.7%
9 22
 
1.7%
4 19
 
1.5%
6 16
 
1.3%
8 11
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1343
94.4%
Latin 79
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 724
53.9%
3 177
 
13.2%
1 157
 
11.7%
2 91
 
6.8%
- 79
 
5.9%
5 25
 
1.9%
7 22
 
1.6%
9 22
 
1.6%
4 19
 
1.4%
6 16
 
1.2%
Latin
ValueCountFrequency (%)
S 79
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1422
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 724
50.9%
3 177
 
12.4%
1 157
 
11.0%
2 91
 
6.4%
- 79
 
5.6%
S 79
 
5.6%
5 25
 
1.8%
7 22
 
1.5%
9 22
 
1.5%
4 19
 
1.3%
Other values (2) 27
 
1.9%

인허가일자
Date

Distinct36
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum1984-06-01 00:00:00
Maximum2023-11-24 00:00:00
2024-05-11T14:32:21.932066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:22.189894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

인허가취소일자
Date

MISSING 

Distinct3
Distinct (%)25.0%
Missing67
Missing (%)84.8%
Memory size764.0 B
Minimum2019-03-08 00:00:00
Maximum2023-11-21 00:00:00
2024-05-11T14:32:22.408259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:22.586487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
1
67 
4
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 67
84.8%
4 12
 
15.2%

Length

2024-05-11T14:32:22.797118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:23.059634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
84.8%
4 12
 
15.2%

영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
영업/정상
67 
취소/말소/만료/정지/중지
12 

Length

Max length14
Median length5
Mean length6.3670886
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 67
84.8%
취소/말소/만료/정지/중지 12
 
15.2%

Length

2024-05-11T14:32:23.256749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:23.436652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 67
84.8%
취소/말소/만료/정지/중지 12
 
15.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
18
67 
19
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
18 67
84.8%
19 12
 
15.2%

Length

2024-05-11T14:32:23.606442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:23.783476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 67
84.8%
19 12
 
15.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
사용중
67 
사용중지
12 

Length

Max length4
Median length3
Mean length3.1518987
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 67
84.8%
사용중지 12
 
15.2%

Length

2024-05-11T14:32:24.004485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:24.242704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 67
84.8%
사용중지 12
 
15.2%

폐업일자
Date

MISSING 

Distinct3
Distinct (%)25.0%
Missing67
Missing (%)84.8%
Memory size764.0 B
Minimum2019-03-08 00:00:00
Maximum2023-11-21 00:00:00
2024-05-11T14:32:24.427522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:24.610644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

소재지면적
Real number (ℝ)

Distinct77
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5124.6505
Minimum165
Maximum21483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:32:24.833212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum165
5-th percentile604.996
Q11805.96
median4670
Q37306.5
95-th percentile11713.8
Maximum21483
Range21318
Interquartile range (IQR)5500.54

Descriptive statistics

Standard deviation4099.6855
Coefficient of variation (CV)0.79999318
Kurtosis3.7411009
Mean5124.6505
Median Absolute Deviation (MAD)2705
Skewness1.5706255
Sum404847.39
Variance16807421
MonotonicityNot monotonic
2024-05-11T14:32:25.073470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7375.0 2
 
2.5%
7620.0 2
 
2.5%
1825.0 1
 
1.3%
7949.0 1
 
1.3%
8715.0 1
 
1.3%
1435.38 1
 
1.3%
5991.0 1
 
1.3%
3851.0 1
 
1.3%
2393.0 1
 
1.3%
7238.0 1
 
1.3%
Other values (67) 67
84.8%
ValueCountFrequency (%)
165.0 1
1.3%
311.0 1
1.3%
530.0 1
1.3%
604.96 1
1.3%
605.0 1
1.3%
642.0 1
1.3%
654.0 1
1.3%
677.69 1
1.3%
721.0 1
1.3%
857.0 1
1.3%
ValueCountFrequency (%)
21483.0 1
1.3%
19077.0 1
1.3%
16264.0 1
1.3%
13008.0 1
1.3%
11570.0 1
1.3%
9776.0 1
1.3%
9699.0 1
1.3%
9669.0 1
1.3%
9122.0 1
1.3%
8945.0 1
1.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

지번주소
Text

Distinct75
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T14:32:25.474661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length22.708861
Min length18

Characters and Unicode

Total characters1794
Distinct characters119
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)89.9%

Sample

1st row서울특별시 마포구 공덕동 116번지 25호
2nd row서울특별시 마포구 도화동 174번지 5호
3rd row서울특별시 마포구 도화동 553번지 마스터즈타워빌딩
4th row서울특별시 마포구 성산동 39번지 35호
5th row서울특별시 마포구 연남동 259번지 1호
ValueCountFrequency (%)
서울특별시 79
21.0%
마포구 79
21.0%
망원동 18
 
4.8%
공덕동 9
 
2.4%
성산동 7
 
1.9%
1호 7
 
1.9%
도화동 6
 
1.6%
염리동 5
 
1.3%
연남동 4
 
1.1%
중동 4
 
1.1%
Other values (134) 158
42.0%
2024-05-11T14:32:26.150570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
16.6%
동 85
 
4.7%
마 84
 
4.7%
포 82
 
4.6%
구 82
 
4.6%
서 81
 
4.5%
시 80
 
4.5%
특 79
 
4.4%
별 79
 
4.4%
울 79
 
4.4%
Other values (109) 766
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1179
65.7%
Space Separator 297
 
16.6%
Decimal Number 293
 
16.3%
Dash Punctuation 13
 
0.7%
Uppercase Letter 7
 
0.4%
Math Symbol 2
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 85
 
7.2%
마 84
 
7.1%
포 82
 
7.0%
구 82
 
7.0%
서 81
 
6.9%
시 80
 
6.8%
특 79
 
6.7%
별 79
 
6.7%
울 79
 
6.7%
지 50
 
4.2%
Other values (86) 398
33.8%
Decimal Number
ValueCountFrequency (%)
1 63
21.5%
5 41
14.0%
3 36
12.3%
4 34
11.6%
2 29
9.9%
0 25
 
8.5%
9 23
 
7.8%
6 19
 
6.5%
7 14
 
4.8%
8 9
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
N 1
14.3%
H 1
14.3%
Y 1
14.3%
O 1
14.3%
S 1
14.3%
U 1
14.3%
G 1
14.3%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1179
65.7%
Common 608
33.9%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 85
 
7.2%
마 84
 
7.1%
포 82
 
7.0%
구 82
 
7.0%
서 81
 
6.9%
시 80
 
6.8%
특 79
 
6.7%
별 79
 
6.7%
울 79
 
6.7%
지 50
 
4.2%
Other values (86) 398
33.8%
Common
ValueCountFrequency (%)
297
48.8%
1 63
 
10.4%
5 41
 
6.7%
3 36
 
5.9%
4 34
 
5.6%
2 29
 
4.8%
0 25
 
4.1%
9 23
 
3.8%
6 19
 
3.1%
7 14
 
2.3%
Other values (6) 27
 
4.4%
Latin
ValueCountFrequency (%)
N 1
14.3%
H 1
14.3%
Y 1
14.3%
O 1
14.3%
S 1
14.3%
U 1
14.3%
G 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1179
65.7%
ASCII 615
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
48.3%
1 63
 
10.2%
5 41
 
6.7%
3 36
 
5.9%
4 34
 
5.5%
2 29
 
4.7%
0 25
 
4.1%
9 23
 
3.7%
6 19
 
3.1%
7 14
 
2.3%
Other values (13) 34
 
5.5%
Hangul
ValueCountFrequency (%)
동 85
 
7.2%
마 84
 
7.1%
포 82
 
7.0%
구 82
 
7.0%
서 81
 
6.9%
시 80
 
6.8%
특 79
 
6.7%
별 79
 
6.7%
울 79
 
6.7%
지 50
 
4.2%
Other values (86) 398
33.8%

도로명주소
Text

Distinct77
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T14:32:26.589100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length32.721519
Min length23

Characters and Unicode

Total characters2585
Distinct characters190
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)94.9%

Sample

1st row서울특별시 마포구 효창목길 6 (공덕동, 한겨레신문사)
2nd row서울특별시 마포구 마포대로 63 (도화동)
3rd row서울특별시 마포구 독막로 331, 마스터즈타워빌딩 (도화동)
4th row서울특별시 마포구 성미산로 55 (성산동, 홍익대학교제3기숙사)
5th row서울특별시 마포구 동교로39길 11 (연남동, 대명APT)
ValueCountFrequency (%)
서울특별시 79
 
16.7%
마포구 79
 
16.7%
지하 12
 
2.5%
마포대로 12
 
2.5%
공덕동 9
 
1.9%
성산동 7
 
1.5%
망원동 7
 
1.5%
도화동 5
 
1.1%
신촌로 5
 
1.1%
양화로 5
 
1.1%
Other values (193) 253
53.5%
2024-05-11T14:32:27.214990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
394
 
15.2%
포 102
 
3.9%
마 101
 
3.9%
동 96
 
3.7%
서 86
 
3.3%
구 84
 
3.2%
울 81
 
3.1%
시 80
 
3.1%
( 80
 
3.1%
) 80
 
3.1%
Other values (180) 1401
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1693
65.5%
Space Separator 394
 
15.2%
Decimal Number 249
 
9.6%
Open Punctuation 81
 
3.1%
Close Punctuation 81
 
3.1%
Other Punctuation 73
 
2.8%
Uppercase Letter 10
 
0.4%
Math Symbol 2
 
0.1%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 102
 
6.0%
마 101
 
6.0%
동 96
 
5.7%
서 86
 
5.1%
구 84
 
5.0%
울 81
 
4.8%
시 80
 
4.7%
별 79
 
4.7%
특 79
 
4.7%
로 76
 
4.5%
Other values (151) 829
49.0%
Decimal Number
ValueCountFrequency (%)
1 55
22.1%
2 41
16.5%
3 33
13.3%
8 21
 
8.4%
0 20
 
8.0%
7 19
 
7.6%
5 17
 
6.8%
4 16
 
6.4%
6 15
 
6.0%
9 12
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
10.0%
P 1
10.0%
T 1
10.0%
H 1
10.0%
Y 1
10.0%
O 1
10.0%
S 1
10.0%
U 1
10.0%
N 1
10.0%
G 1
10.0%
Open Punctuation
ValueCountFrequency (%)
( 80
98.8%
[ 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 80
98.8%
] 1
 
1.2%
Space Separator
ValueCountFrequency (%)
394
100.0%
Other Punctuation
ValueCountFrequency (%)
, 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1693
65.5%
Common 881
34.1%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 102
 
6.0%
마 101
 
6.0%
동 96
 
5.7%
서 86
 
5.1%
구 84
 
5.0%
울 81
 
4.8%
시 80
 
4.7%
별 79
 
4.7%
특 79
 
4.7%
로 76
 
4.5%
Other values (151) 829
49.0%
Common
ValueCountFrequency (%)
394
44.7%
( 80
 
9.1%
) 80
 
9.1%
, 73
 
8.3%
1 55
 
6.2%
2 41
 
4.7%
3 33
 
3.7%
8 21
 
2.4%
0 20
 
2.3%
7 19
 
2.2%
Other values (8) 65
 
7.4%
Latin
ValueCountFrequency (%)
A 1
9.1%
P 1
9.1%
T 1
9.1%
e 1
9.1%
H 1
9.1%
Y 1
9.1%
O 1
9.1%
S 1
9.1%
U 1
9.1%
N 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1693
65.5%
ASCII 892
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
394
44.2%
( 80
 
9.0%
) 80
 
9.0%
, 73
 
8.2%
1 55
 
6.2%
2 41
 
4.6%
3 33
 
3.7%
8 21
 
2.4%
0 20
 
2.2%
7 19
 
2.1%
Other values (19) 76
 
8.5%
Hangul
ValueCountFrequency (%)
포 102
 
6.0%
마 101
 
6.0%
동 96
 
5.7%
서 86
 
5.1%
구 84
 
5.0%
울 81
 
4.8%
시 80
 
4.7%
별 79
 
4.7%
특 79
 
4.7%
로 76
 
4.5%
Other values (151) 829
49.0%

도로명우편번호
Real number (ℝ)

Distinct60
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4056.7975
Minimum3902
Maximum4213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:32:27.427897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3902
5-th percentile3931.9
Q13978.5
median4027
Q34153
95-th percentile4207
Maximum4213
Range311
Interquartile range (IQR)174.5

Descriptive statistics

Standard deviation93.28099
Coefficient of variation (CV)0.022993751
Kurtosis-1.3048234
Mean4056.7975
Median Absolute Deviation (MAD)77
Skewness0.20064812
Sum320487
Variance8701.3431
MonotonicityNot monotonic
2024-05-11T14:32:27.670793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4005 5
 
6.3%
4011 3
 
3.8%
4156 2
 
2.5%
4175 2
 
2.5%
4104 2
 
2.5%
4010 2
 
2.5%
4168 2
 
2.5%
4207 2
 
2.5%
4051 2
 
2.5%
3944 2
 
2.5%
Other values (50) 55
69.6%
ValueCountFrequency (%)
3902 1
1.3%
3911 1
1.3%
3912 1
1.3%
3913 1
1.3%
3934 1
1.3%
3938 1
1.3%
3941 2
2.5%
3944 2
2.5%
3945 1
1.3%
3956 1
1.3%
ValueCountFrequency (%)
4213 2
2.5%
4212 1
1.3%
4207 2
2.5%
4202 1
1.3%
4196 1
1.3%
4186 1
1.3%
4182 1
1.3%
4177 1
1.3%
4175 2
2.5%
4168 2
2.5%

사업장명
Text

Distinct78
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T14:32:28.033613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length17.367089
Min length5

Characters and Unicode

Total characters1372
Distinct characters163
Distinct categories9 ?
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 (%)97.5%

Sample

1st row한겨레신문사(지하1~지하3층 주차장)
2nd row삼창프라자
3rd row마스터즈 빌딩
4th row홍익대학교 제3기숙사(지하1~2층주차장)
5th row대명아파트(지하1~2층주차장)
ValueCountFrequency (%)
주차장 10
 
7.4%
6호선 6
 
4.4%
지하1~2층 5
 
3.7%
월드컵아파트 4
 
2.9%
지하 4
 
2.9%
2호선 3
 
2.2%
성산현대2차아파트(지하1층주차장 2
 
1.5%
5호선 2
 
1.5%
아파트(지하1층주차장 2
 
1.5%
홍대입구역 2
 
1.5%
Other values (94) 96
70.6%
2024-05-11T14:32:28.551861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 89
 
6.5%
하 84
 
6.1%
층 79
 
5.8%
1 75
 
5.5%
차 71
 
5.2%
) 69
 
5.0%
( 69
 
5.0%
주 66
 
4.8%
장 62
 
4.5%
57
 
4.2%
Other values (153) 651
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 970
70.7%
Decimal Number 161
 
11.7%
Close Punctuation 69
 
5.0%
Open Punctuation 69
 
5.0%
Space Separator 57
 
4.2%
Math Symbol 39
 
2.8%
Dash Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 89
 
9.2%
하 84
 
8.7%
층 79
 
8.1%
차 71
 
7.3%
주 66
 
6.8%
장 62
 
6.4%
아 31
 
3.2%
트 30
 
3.1%
파 29
 
3.0%
대 19
 
2.0%
Other values (136) 410
42.3%
Decimal Number
ValueCountFrequency (%)
1 75
46.6%
2 47
29.2%
3 15
 
9.3%
6 8
 
5.0%
4 7
 
4.3%
5 4
 
2.5%
0 4
 
2.5%
9 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
I 1
33.3%
P 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 970
70.7%
Common 398
29.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 89
 
9.2%
하 84
 
8.7%
층 79
 
8.1%
차 71
 
7.3%
주 66
 
6.8%
장 62
 
6.4%
아 31
 
3.2%
트 30
 
3.1%
파 29
 
3.0%
대 19
 
2.0%
Other values (136) 410
42.3%
Common
ValueCountFrequency (%)
1 75
18.8%
) 69
17.3%
( 69
17.3%
57
14.3%
2 47
11.8%
~ 39
9.8%
3 15
 
3.8%
6 8
 
2.0%
4 7
 
1.8%
5 4
 
1.0%
Other values (3) 8
 
2.0%
Latin
ValueCountFrequency (%)
V 1
25.0%
I 1
25.0%
P 1
25.0%
e 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 970
70.7%
ASCII 402
29.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 89
 
9.2%
하 84
 
8.7%
층 79
 
8.1%
차 71
 
7.3%
주 66
 
6.8%
장 62
 
6.4%
아 31
 
3.2%
트 30
 
3.1%
파 29
 
3.0%
대 19
 
2.0%
Other values (136) 410
42.3%
ASCII
ValueCountFrequency (%)
1 75
18.7%
) 69
17.2%
( 69
17.2%
57
14.2%
2 47
11.7%
~ 39
9.7%
3 15
 
3.7%
6 8
 
2.0%
4 7
 
1.7%
5 4
 
1.0%
Other values (7) 12
 
3.0%

최종수정일자
Date

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2019-03-08 11:44:51
Maximum2024-03-13 14:34:08
2024-05-11T14:32:28.887862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:29.123314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
U
79 

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 79
100.0%

Length

2024-05-11T14:32:29.365033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:29.548273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 79
100.0%

데이터갱신일자
Date

Distinct27
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2019-03-10 02:40:00
Maximum2023-12-02 23:06:00
2024-05-11T14:32:29.736073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:32:29.971328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)93.0%
Missing8
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean193248.08
Minimum189212.71
Maximum196293.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:32:30.235922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189212.71
5-th percentile190701.12
Q1191616.38
median193111.09
Q3195146.34
95-th percentile195895.18
Maximum196293.23
Range7080.5221
Interquartile range (IQR)3529.9532

Descriptive statistics

Standard deviation1926.6514
Coefficient of variation (CV)0.0099698346
Kurtosis-1.4468316
Mean193248.08
Median Absolute Deviation (MAD)1763.4086
Skewness0.004719535
Sum13720614
Variance3711985.5
MonotonicityNot monotonic
2024-05-11T14:32:30.491100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191855.569080768 2
 
2.5%
193285.549735897 2
 
2.5%
194413.169802204 2
 
2.5%
192899.605749281 2
 
2.5%
195997.415918035 2
 
2.5%
191824.223833875 1
 
1.3%
191220.138132251 1
 
1.3%
195734.571727895 1
 
1.3%
191559.503925745 1
 
1.3%
191683.428937848 1
 
1.3%
Other values (56) 56
70.9%
(Missing) 8
 
10.1%
ValueCountFrequency (%)
189212.708916184 1
1.3%
190186.074762743 1
1.3%
190352.555252104 1
1.3%
190505.532501112 1
1.3%
190896.707090689 1
1.3%
190960.449623358 1
1.3%
190983.018791411 1
1.3%
191037.581579158 1
1.3%
191075.680343436 1
1.3%
191137.7131273 1
1.3%
ValueCountFrequency (%)
196293.231026739 1
1.3%
195997.415918035 2
2.5%
195937.830960998 1
1.3%
195852.524254164 1
1.3%
195775.018463291 1
1.3%
195734.571727895 1
1.3%
195703.425296812 1
1.3%
195665.095236718 1
1.3%
195617.261117058 1
1.3%
195505.579181279 1
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)93.0%
Missing8
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean450286.15
Minimum448229.06
Maximum453468.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T14:32:31.092649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile448646.3
Q1449398.07
median450268.83
Q3450954.93
95-th percentile452216.33
Maximum453468.34
Range5239.2718
Interquartile range (IQR)1556.8653

Descriptive statistics

Standard deviation1139.7876
Coefficient of variation (CV)0.0025312519
Kurtosis-0.20141933
Mean450286.15
Median Absolute Deviation (MAD)853.62189
Skewness0.45247577
Sum31970317
Variance1299115.9
MonotonicityNot monotonic
2024-05-11T14:32:31.339385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452020.913645038 2
 
2.5%
450808.571641119 2
 
2.5%
450268.8345718 2
 
2.5%
451360.660991625 2
 
2.5%
449687.009632648 2
 
2.5%
451899.333639704 1
 
1.3%
450445.308109633 1
 
1.3%
449230.050577651 1
 
1.3%
450435.881968343 1
 
1.3%
450436.823442891 1
 
1.3%
Other values (56) 56
70.9%
(Missing) 8
 
10.1%
ValueCountFrequency (%)
448229.063825491 1
1.3%
448407.752664604 1
1.3%
448460.50414883 1
1.3%
448575.779442887 1
1.3%
448716.823596557 1
1.3%
448814.617874127 1
1.3%
448897.087735292 1
1.3%
448919.647035291 1
1.3%
448970.223733402 1
1.3%
448979.698225991 1
1.3%
ValueCountFrequency (%)
453468.335655795 1
1.3%
452561.593702231 1
1.3%
452510.91383579 1
1.3%
452282.784860958 1
1.3%
452149.876908843 1
1.3%
452026.148740809 1
1.3%
452020.913645038 2
2.5%
451946.072618348 1
1.3%
451899.333639704 1
1.3%
451360.660991625 2
2.5%

비상시설위치
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing69
Missing (%)87.3%
Memory size764.0 B
2024-05-11T14:32:31.650823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length22.4
Min length18

Characters and Unicode

Total characters224
Distinct characters49
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

Unique10 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 도화동 174번지 5호
2nd row서울특별시 마포구 도화동 553번지 마스터즈타워빌딩
3rd row서울특별시 마포구 염리동 522 세양청마루아파트
4th row서울특별시 마포구 중동 391번지
5th row서울특별시 마포구 상수동 309-10
ValueCountFrequency (%)
서울특별시 10
22.2%
마포구 10
22.2%
상암동 4
 
8.9%
도화동 3
 
6.7%
상수동 1
 
2.2%
1637번지 1
 
2.2%
1단지 1
 
2.2%
상암월드컵아파트 1
 
2.2%
1634 1
 
2.2%
1752번지 1
 
2.2%
Other values (12) 12
26.7%
2024-05-11T14:32:32.217627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
15.6%
마 12
 
5.4%
서 10
 
4.5%
특 10
 
4.5%
별 10
 
4.5%
시 10
 
4.5%
포 10
 
4.5%
구 10
 
4.5%
울 10
 
4.5%
동 10
 
4.5%
Other values (39) 97
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
67.0%
Decimal Number 38
 
17.0%
Space Separator 35
 
15.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 12
 
8.0%
서 10
 
6.7%
특 10
 
6.7%
별 10
 
6.7%
시 10
 
6.7%
포 10
 
6.7%
구 10
 
6.7%
울 10
 
6.7%
동 10
 
6.7%
지 8
 
5.3%
Other values (28) 50
33.3%
Decimal Number
ValueCountFrequency (%)
1 8
21.1%
5 7
18.4%
3 6
15.8%
7 4
10.5%
4 3
 
7.9%
6 3
 
7.9%
2 3
 
7.9%
0 2
 
5.3%
9 2
 
5.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
67.0%
Common 74
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 12
 
8.0%
서 10
 
6.7%
특 10
 
6.7%
별 10
 
6.7%
시 10
 
6.7%
포 10
 
6.7%
구 10
 
6.7%
울 10
 
6.7%
동 10
 
6.7%
지 8
 
5.3%
Other values (28) 50
33.3%
Common
ValueCountFrequency (%)
35
47.3%
1 8
 
10.8%
5 7
 
9.5%
3 6
 
8.1%
7 4
 
5.4%
4 3
 
4.1%
6 3
 
4.1%
2 3
 
4.1%
0 2
 
2.7%
9 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
67.0%
ASCII 74
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
47.3%
1 8
 
10.8%
5 7
 
9.5%
3 6
 
8.1%
7 4
 
5.4%
4 3
 
4.1%
6 3
 
4.1%
2 3
 
4.1%
0 2
 
2.7%
9 2
 
2.7%
Hangul
ValueCountFrequency (%)
마 12
 
8.0%
서 10
 
6.7%
특 10
 
6.7%
별 10
 
6.7%
시 10
 
6.7%
포 10
 
6.7%
구 10
 
6.7%
울 10
 
6.7%
동 10
 
6.7%
지 8
 
5.3%
Other values (28) 50
33.3%

시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
69 
공공용시설
8 
공공시설
 
2

Length

Max length5
Median length4
Mean length4.1012658
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
87.3%
공공용시설 8
 
10.1%
공공시설 2
 
2.5%

Length

2024-05-11T14:32:32.626396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:32.793944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
87.3%
공공용시설 8
 
10.1%
공공시설 2
 
2.5%

시설명_건물명
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing69
Missing (%)87.3%
Memory size764.0 B
2024-05-11T14:32:33.059147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19.5
Mean length15.7
Min length5

Characters and Unicode

Total characters157
Distinct characters52
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

Unique10 ?
Unique (%)100.0%

Sample

1st row삼창프라자
2nd row마스터즈 빌딩
3rd row염리세양청마루아파트(지하1층 주차장)
4th row중동계룡아파트(지하1층주차장)
5th row6호선 상수역 지하 1~3층
ValueCountFrequency (%)
월드컵아파트 4
21.1%
삼창프라자 1
 
5.3%
마스터즈 1
 
5.3%
빌딩 1
 
5.3%
염리세양청마루아파트(지하1층 1
 
5.3%
주차장 1
 
5.3%
중동계룡아파트(지하1층주차장 1
 
5.3%
6호선 1
 
5.3%
상수역 1
 
5.3%
지하 1
 
5.3%
Other values (6) 6
31.6%
2024-05-11T14:32:33.603555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 12
 
7.6%
9
 
5.7%
1 9
 
5.7%
주 8
 
5.1%
하 8
 
5.1%
층 8
 
5.1%
( 7
 
4.5%
차 7
 
4.5%
장 7
 
4.5%
) 7
 
4.5%
Other values (42) 75
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
74.5%
Decimal Number 15
 
9.6%
Space Separator 9
 
5.7%
Open Punctuation 7
 
4.5%
Close Punctuation 7
 
4.5%
Math Symbol 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 12
 
10.3%
주 8
 
6.8%
하 8
 
6.8%
층 8
 
6.8%
차 7
 
6.0%
장 7
 
6.0%
트 6
 
5.1%
아 6
 
5.1%
파 6
 
5.1%
월 4
 
3.4%
Other values (33) 45
38.5%
Decimal Number
ValueCountFrequency (%)
1 9
60.0%
3 2
 
13.3%
2 2
 
13.3%
9 1
 
6.7%
6 1
 
6.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
74.5%
Common 40
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 12
 
10.3%
주 8
 
6.8%
하 8
 
6.8%
층 8
 
6.8%
차 7
 
6.0%
장 7
 
6.0%
트 6
 
5.1%
아 6
 
5.1%
파 6
 
5.1%
월 4
 
3.4%
Other values (33) 45
38.5%
Common
ValueCountFrequency (%)
9
22.5%
1 9
22.5%
( 7
17.5%
) 7
17.5%
~ 2
 
5.0%
3 2
 
5.0%
2 2
 
5.0%
9 1
 
2.5%
6 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
74.5%
ASCII 40
 
25.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 12
 
10.3%
주 8
 
6.8%
하 8
 
6.8%
층 8
 
6.8%
차 7
 
6.0%
장 7
 
6.0%
트 6
 
5.1%
아 6
 
5.1%
파 6
 
5.1%
월 4
 
3.4%
Other values (33) 45
38.5%
ASCII
ValueCountFrequency (%)
9
22.5%
1 9
22.5%
( 7
17.5%
) 7
17.5%
~ 2
 
5.0%
3 2
 
5.0%
2 2
 
5.0%
9 1
 
2.5%
6 1
 
2.5%

해제일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
77 
20190308
 
2

Length

Max length8
Median length4
Mean length4.1012658
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row20190308
3rd row20190308
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 77
97.5%
20190308 2
 
2.5%

Length

2024-05-11T14:32:33.890619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:32:34.148407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
97.5%
20190308 2
 
2.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031300003130000-S2000000032000-01-032023-07-174취소/말소/만료/정지/중지19사용중지2023-07-17<NA><NA><NA><NA>1825.0<NA>서울특별시 마포구 공덕동 116번지 25호서울특별시 마포구 효창목길 6 (공덕동, 한겨레신문사)4186한겨레신문사(지하1~지하3층 주차장)2023-07-18 14:54:51U2022-12-06 22:00:00.0<NA>196293.231027449415.212679<NA><NA><NA><NA>
131300003130000-S1987000041987-01-012019-03-084취소/말소/만료/정지/중지19사용중지2019-03-08<NA><NA><NA><NA>19077.0<NA>서울특별시 마포구 도화동 174번지 5호서울특별시 마포구 마포대로 63 (도화동)4157삼창프라자2019-03-08 11:45:28U2019-03-10 02:40:00.0<NA><NA><NA>서울특별시 마포구 도화동 174번지 5호공공시설삼창프라자20190308
231300003130000-S2005000772005-01-012019-03-084취소/말소/만료/정지/중지19사용중지2019-03-08<NA><NA><NA><NA>11570.0<NA>서울특별시 마포구 도화동 553번지 마스터즈타워빌딩서울특별시 마포구 독막로 331, 마스터즈타워빌딩 (도화동)4156마스터즈 빌딩2019-03-08 11:44:51U2019-03-10 02:40:00.0<NA>195454.875715448970.223733서울특별시 마포구 도화동 553번지 마스터즈타워빌딩공공시설마스터즈 빌딩20190308
331300003130000-S2019000012019-08-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1441.88<NA>서울특별시 마포구 성산동 39번지 35호서울특별시 마포구 성미산로 55 (성산동, 홍익대학교제3기숙사)3967홍익대학교 제3기숙사(지하1~2층주차장)2024-01-26 14:41:30U2023-11-30 22:08:00.0<NA>192356.88716450861.312001<NA><NA><NA><NA>
431300003130000-S2010000072010-12-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3599.0<NA>서울특별시 마포구 연남동 259번지 1호서울특별시 마포구 동교로39길 11 (연남동, 대명APT)3984대명아파트(지하1~2층주차장)2024-01-19 10:40:18U2023-11-30 22:01:00.0<NA>193190.344795451048.551225<NA><NA><NA><NA>
531300003130000-S2005000662015-03-312023-11-214취소/말소/만료/정지/중지19사용중지2023-11-21<NA><NA><NA><NA>1067.84<NA>서울특별시 마포구 용강동 505 용강동주민센터서울특별시 마포구 토정로31길 31, 용강동주민센터 (용강동)4161용강동복합청사(지하1층 주차장)2023-11-21 12:58:46U2022-10-31 22:03:00.0<NA>194874.49674448897.087735<NA><NA><NA><NA>
631300003130000-S2010000582010-12-312023-11-214취소/말소/만료/정지/중지19사용중지2023-11-21<NA><NA><NA><NA>3107.0<NA>서울특별시 마포구 성산동 604번지서울특별시 마포구 월드컵북로 216 (성산동, 성산2차 e편한세상)3941성산e편한세상2차(지하1층주차장)2023-11-21 15:56:16U2022-10-31 22:03:00.0<NA>191569.272934451946.072618<NA><NA><NA><NA>
731300003130000-S2010000532010-12-312023-11-214취소/말소/만료/정지/중지19사용중지2023-11-21<NA><NA><NA><NA>16264.0<NA>서울특별시 마포구 성산동 601번지서울특별시 마포구 월드컵북로30길 9-22 (성산동, 성산월드타운대림아파트)3945월드타운대림아파트(지하1층주차장)2023-11-21 12:59:51U2022-10-31 22:03:00.0<NA>191824.223834451899.33364<NA><NA><NA><NA>
831300003130000-S2010000542010-12-312023-11-214취소/말소/만료/정지/중지19사용중지2023-11-21<NA><NA><NA><NA>7375.0<NA>서울특별시 마포구 중동 40번지 12호서울특별시 마포구 성암로 79 (중동, 성산2차현대아파트)3944성산현대2차아파트(지하1층주차장)2023-11-21 13:00:02U2022-10-31 22:03:00.0<NA>191855.569081452020.913645<NA><NA><NA><NA>
931300003130000-S2010000672010-09-092023-11-214취소/말소/만료/정지/중지19사용중지2023-11-21<NA><NA><NA><NA>1977.0<NA>서울특별시 마포구 도화동 536 정우빌딩서울특별시 마포구 토정로37길 46(도화동, 정우빌딩)4157정우빌딩(지하2층 주차장)2023-11-21 12:59:06U2022-10-31 22:03:00.0<NA>195277.885389448919.647035<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
6931300003130000-S2007000112007-07-09<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2402.27<NA>서울특별시 마포구 마포동 350번지서울특별시 마포구 마포대로4다길 18 (마포동, 강변한신코아빌딩)4177강변한신코아빌딩(지하2층주차장)2023-11-14 21:18:33U2022-10-31 23:06:00.0<NA>194974.587674448229.063825<NA><NA><NA><NA>
7031300003130000-S2007000092007-07-09<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5394.29<NA>서울특별시 마포구 마포동 136-1 한신빌딩서울특별시 마포구 마포대로 12, 한신빌딩 (마포동)4175한신오피스텔(지하2층~4층주차장)2023-11-14 21:23:26U2022-10-31 23:06:00.0<NA>195019.399817448407.752665<NA><NA><NA><NA>
7131300003130000-S2007000102007-07-09<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5095.35<NA>서울특별시 마포구 마포동 140번지서울특별시 마포구 마포대로 20 (마포동, 다보빌딩)4175다보빌딩(불교방송국)(지하2~4층주차장)2023-11-14 21:20:36U2022-10-31 23:06:00.0<NA>195071.674859448460.504149<NA><NA><NA><NA>
7231300003130000-S2009000022009-09-17<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3200.0<NA>서울특별시 마포구 신수동 190번지서울특별시 마포구 독막로28길 7 (신수동, 성원아파트)4090성원아파트(지하2~3층주차장)2023-11-16 15:21:37U2022-10-31 23:08:00.0<NA>194418.034937449400.098709<NA><NA><NA><NA>
7331300003130000-S2005000222005-01-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5404.8<NA>서울특별시 마포구 공덕동 423-29 공덕역서울특별시 마포구 마포대로 지하100, 공덕역 (공덕동)42135호선 공덕전철역 지하1~3층2024-01-22 10:33:11U2023-11-30 22:04:00.0<NA>195617.261117449137.518723<NA><NA><NA><NA>
7431300003130000-S2001000132001-05-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6269.41<NA>서울특별시 마포구 공덕동 404 풍림브이아이피텔서울특별시 마포구 마포대로 127, 풍림브이아이피텔 (공덕동)4144풍림VIP텔(지하2~4층주차장)2024-01-22 10:34:05U2023-11-30 22:04:00.0<NA>195703.425297449330.800718<NA><NA><NA><NA>
7531300003130000-S2023000012023-11-24<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3953.92<NA>서울특별시 마포구 염리동 533-11 소금나루도서관서울특별시 마포구 숭문길 72, 소금나루도서관 (염리동)4135소금나루 공영주차장(지하1~3층주차장)2024-01-18 10:21:04U2023-11-30 22:00:00.0<NA>195177.694693449696.327442<NA><NA><NA><NA>
7631300003130000-S1984000011984-11-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>605.0<NA>서울특별시 마포구 염리동 161번지 7호서울특별시 마포구 독막로 291 (염리동, 한청실업빌딩)4151한청빌딩(지하1층주차장)2024-01-18 09:54:54U2023-11-30 22:00:00.0<NA>195114.98131449171.288831<NA><NA><NA><NA>
7731300003130000-S1984000021984-09-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6033.0<NA>서울특별시 마포구 염리동 168번지 9호서울특별시 마포구 독막로 311 (염리동, 재화스퀘어)4156재화스퀘어 (지하1~지하3층 주차장)2024-01-18 09:39:15U2023-11-30 22:00:00.0<NA>195292.972628449083.060282<NA><NA><NA><NA>
7831300003130000-S2010000042010-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4058.0<NA>서울특별시 마포구 망원동 513번지서울특별시 마포구 방울내로11길 43 (망원동, 상암마젤란21아파트)3961마젤란21 아파트(지하1~2층주차장)2024-01-31 12:23:47U2023-12-02 00:02:00.0<NA>191365.894317451115.250816<NA><NA><NA><NA>