Overview

Dataset statistics

Number of variables29
Number of observations123
Missing cells934
Missing cells (%)26.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.9 KiB
Average record size in memory249.1 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20030/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (93.2%)Imbalance
영업상태코드 is highly imbalanced (93.2%)Imbalance
영업상태명 is highly imbalanced (93.2%)Imbalance
상세영업상태코드 is highly imbalanced (93.2%)Imbalance
상세영업상태명 is highly imbalanced (93.2%)Imbalance
폐업일자 is highly imbalanced (93.2%)Imbalance
데이터갱신구분 is highly imbalanced (71.9%)Imbalance
해제일자 is highly imbalanced (93.2%)Imbalance
휴업시작일자 has 123 (100.0%) missing valuesMissing
휴업종료일자 has 123 (100.0%) missing valuesMissing
재개업일자 has 123 (100.0%) missing valuesMissing
전화번호 has 123 (100.0%) missing valuesMissing
소재지우편번호 has 123 (100.0%) missing valuesMissing
업태구분명 has 123 (100.0%) missing valuesMissing
좌표정보(X) has 4 (3.3%) missing valuesMissing
좌표정보(Y) has 4 (3.3%) missing valuesMissing
비상시설위치 has 94 (76.4%) missing valuesMissing
시설명_건물명 has 94 (76.4%) missing valuesMissing
관리번호 has unique valuesUnique
소재지면적 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 started2024-04-29 20:05:22.807578
Analysis finished2024-04-29 20:05:23.613619
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3030000
123 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 123
100.0%

Length

2024-04-30T05:05:23.674431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:23.746554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 123
100.0%

관리번호
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T05:05:23.886422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2214
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

Unique123 ?
Unique (%)100.0%

Sample

1st row3030000-S202300027
2nd row3030000-S202300025
3rd row3030000-S202300024
4th row3030000-S200600024
5th row3030000-S202300039
ValueCountFrequency (%)
3030000-s202300027 1
 
0.8%
3030000-s200200003 1
 
0.8%
3030000-s202300032 1
 
0.8%
3030000-s200600028 1
 
0.8%
3030000-s202300001 1
 
0.8%
3030000-s202200003 1
 
0.8%
3030000-s202200004 1
 
0.8%
3030000-s202300012 1
 
0.8%
3030000-s202300013 1
 
0.8%
3030000-s202300018 1
 
0.8%
Other values (113) 113
91.9%
2024-04-30T05:05:24.178720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1205
54.4%
3 311
 
14.0%
2 188
 
8.5%
- 123
 
5.6%
S 123
 
5.6%
1 102
 
4.6%
9 56
 
2.5%
6 33
 
1.5%
4 19
 
0.9%
5 19
 
0.9%
Other values (2) 35
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1968
88.9%
Dash Punctuation 123
 
5.6%
Uppercase Letter 123
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1205
61.2%
3 311
 
15.8%
2 188
 
9.6%
1 102
 
5.2%
9 56
 
2.8%
6 33
 
1.7%
4 19
 
1.0%
5 19
 
1.0%
7 18
 
0.9%
8 17
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2091
94.4%
Latin 123
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1205
57.6%
3 311
 
14.9%
2 188
 
9.0%
- 123
 
5.9%
1 102
 
4.9%
9 56
 
2.7%
6 33
 
1.6%
4 19
 
0.9%
5 19
 
0.9%
7 18
 
0.9%
Latin
ValueCountFrequency (%)
S 123
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1205
54.4%
3 311
 
14.0%
2 188
 
8.5%
- 123
 
5.6%
S 123
 
5.6%
1 102
 
4.6%
9 56
 
2.5%
6 33
 
1.5%
4 19
 
0.9%
5 19
 
0.9%
Other values (2) 35
 
1.6%

인허가일자
Date

Distinct70
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1975-01-03 00:00:00
Maximum2023-12-26 00:00:00
2024-04-30T05:05:24.303430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:24.430784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
42986
 
1

Length

Max length5
Median length4
Mean length4.0081301
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 122
99.2%
42986 1
 
0.8%

Length

2024-04-30T05:05:24.550285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:24.624106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
99.2%
42986 1
 
0.8%

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
122 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 122
99.2%
4 1
 
0.8%

Length

2024-04-30T05:05:24.703286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:24.777216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 122
99.2%
4 1
 
0.8%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
122 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5.0731707
Min length5

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 122
99.2%
취소/말소/만료/정지/중지 1
 
0.8%

Length

2024-04-30T05:05:24.854684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:24.927970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 122
99.2%
취소/말소/만료/정지/중지 1
 
0.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
18
122 
19
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
18 122
99.2%
19 1
 
0.8%

Length

2024-04-30T05:05:25.011350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:25.098584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 122
99.2%
19 1
 
0.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
사용중
122 
사용중지
 
1

Length

Max length4
Median length3
Mean length3.0081301
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 122
99.2%
사용중지 1
 
0.8%

Length

2024-04-30T05:05:25.210147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:25.310900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 122
99.2%
사용중지 1
 
0.8%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
42986
 
1

Length

Max length5
Median length4
Mean length4.0081301
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 122
99.2%
42986 1
 
0.8%

Length

2024-04-30T05:05:25.413896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:25.530889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
99.2%
42986 1
 
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

소재지면적
Real number (ℝ)

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12424.278
Minimum395
Maximum91119.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T05:05:25.679997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum395
5-th percentile865.444
Q12902.705
median6425
Q313489.325
95-th percentile46338.6
Maximum91119.37
Range90724.37
Interquartile range (IQR)10586.62

Descriptive statistics

Standard deviation16876.337
Coefficient of variation (CV)1.3583354
Kurtosis7.0167045
Mean12424.278
Median Absolute Deviation (MAD)4214.96
Skewness2.6051567
Sum1528186.2
Variance2.8481076 × 108
MonotonicityNot monotonic
2024-04-30T05:05:25.856716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15205.47 1
 
0.8%
1311.0 1
 
0.8%
2170.0 1
 
0.8%
3826.0 1
 
0.8%
6961.21 1
 
0.8%
5599.04 1
 
0.8%
5303.03 1
 
0.8%
5940.04 1
 
0.8%
16327.0 1
 
0.8%
20694.0 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
395.0 1
0.8%
398.4 1
0.8%
558.0 1
0.8%
656.54 1
0.8%
681.53 1
0.8%
695.11 1
0.8%
854.16 1
0.8%
967.0 1
0.8%
1000.0 1
0.8%
1119.0 1
0.8%
ValueCountFrequency (%)
91119.37 1
0.8%
73684.29 1
0.8%
71972.53 1
0.8%
70795.98 1
0.8%
65696.15 1
0.8%
59477.82 1
0.8%
46450.0 1
0.8%
45336.0 1
0.8%
40532.0 1
0.8%
39243.0 1
0.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

지번주소
Text

Distinct117
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T05:05:26.100970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length24.99187
Min length17

Characters and Unicode

Total characters3074
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)91.9%

Sample

1st row서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워
2nd row서울특별시 성동구 성수동2가 325-2 서울숲한라시그마벨리
3rd row서울특별시 성동구 행당동 387 지웰홈스 왕십리
4th row서울특별시 성동구 마장동 831 마장 에스에이치빌
5th row서울특별시 성동구 송정동 72-117 송정동 공공복합청사
ValueCountFrequency (%)
서울특별시 123
20.2%
성동구 123
20.2%
행당동 22
 
3.6%
성수동1가 20
 
3.3%
성수동2가 17
 
2.8%
하왕십리동 12
 
2.0%
마장동 7
 
1.1%
응봉동 7
 
1.1%
용답동 7
 
1.1%
옥수동 6
 
1.0%
Other values (211) 265
43.5%
2024-04-30T05:05:26.479827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
486
 
15.8%
동 259
 
8.4%
성 171
 
5.6%
서 137
 
4.5%
울 137
 
4.5%
시 125
 
4.1%
구 124
 
4.0%
특 123
 
4.0%
별 123
 
4.0%
1 112
 
3.6%
Other values (164) 1277
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2021
65.7%
Decimal Number 488
 
15.9%
Space Separator 486
 
15.8%
Uppercase Letter 33
 
1.1%
Dash Punctuation 29
 
0.9%
Lowercase Letter 13
 
0.4%
Letter Number 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 259
 
12.8%
성 171
 
8.5%
서 137
 
6.8%
울 137
 
6.8%
시 125
 
6.2%
구 124
 
6.1%
특 123
 
6.1%
별 123
 
6.1%
지 66
 
3.3%
번 57
 
2.8%
Other values (124) 699
34.6%
Uppercase Letter
ValueCountFrequency (%)
K 6
18.2%
T 5
15.2%
C 3
9.1%
S 3
9.1%
O 2
 
6.1%
V 2
 
6.1%
R 2
 
6.1%
A 2
 
6.1%
I 2
 
6.1%
M 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 112
23.0%
2 68
13.9%
3 60
12.3%
7 43
 
8.8%
4 41
 
8.4%
0 41
 
8.4%
6 39
 
8.0%
8 32
 
6.6%
5 32
 
6.6%
9 20
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
e 2
15.4%
r 2
15.4%
t 1
 
7.7%
a 1
 
7.7%
m 1
 
7.7%
p 1
 
7.7%
h 1
 
7.7%
w 1
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2021
65.7%
Common 1005
32.7%
Latin 48
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 259
 
12.8%
성 171
 
8.5%
서 137
 
6.8%
울 137
 
6.8%
시 125
 
6.2%
구 124
 
6.1%
특 123
 
6.1%
별 123
 
6.1%
지 66
 
3.3%
번 57
 
2.8%
Other values (124) 699
34.6%
Latin
ValueCountFrequency (%)
K 6
 
12.5%
T 5
 
10.4%
C 3
 
6.2%
S 3
 
6.2%
o 3
 
6.2%
e 2
 
4.2%
O 2
 
4.2%
r 2
 
4.2%
V 2
 
4.2%
R 2
 
4.2%
Other values (16) 18
37.5%
Common
ValueCountFrequency (%)
486
48.4%
1 112
 
11.1%
2 68
 
6.8%
3 60
 
6.0%
7 43
 
4.3%
4 41
 
4.1%
0 41
 
4.1%
6 39
 
3.9%
8 32
 
3.2%
5 32
 
3.2%
Other values (4) 51
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2021
65.7%
ASCII 1051
34.2%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
486
46.2%
1 112
 
10.7%
2 68
 
6.5%
3 60
 
5.7%
7 43
 
4.1%
4 41
 
3.9%
0 41
 
3.9%
6 39
 
3.7%
8 32
 
3.0%
5 32
 
3.0%
Other values (28) 97
 
9.2%
Hangul
ValueCountFrequency (%)
동 259
 
12.8%
성 171
 
8.5%
서 137
 
6.8%
울 137
 
6.8%
시 125
 
6.2%
구 124
 
6.1%
특 123
 
6.1%
별 123
 
6.1%
지 66
 
3.3%
번 57
 
2.8%
Other values (124) 699
34.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%

도로명주소
Text

Distinct119
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T05:05:26.705837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length35.056911
Min length24

Characters and Unicode

Total characters4312
Distinct characters221
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)95.1%

Sample

1st row서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 (성수동2가)
2nd row서울특별시 성동구 성수이로 51, 서울숲한라시그마벨리 (성수동2가)
3rd row서울특별시 성동구 고산자로14길 26 (행당동, 지웰홈스 왕십리)
4th row서울특별시 성동구 마조로15가길 23, 지하1층 (마장동, 마장 에스에이치빌)
5th row서울특별시 성동구 송정18가길 9, 송정동 공공복합청사 (송정동)
ValueCountFrequency (%)
서울특별시 123
 
15.7%
성동구 123
 
15.7%
행당동 20
 
2.5%
성수동1가 18
 
2.3%
왕십리로 14
 
1.8%
성수동2가 13
 
1.7%
하왕십리동 11
 
1.4%
고산자로 8
 
1.0%
지하1층 8
 
1.0%
독서당로 8
 
1.0%
Other values (296) 439
55.9%
2024-04-30T05:05:27.101614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
662
 
15.4%
동 283
 
6.6%
성 194
 
4.5%
서 151
 
3.5%
울 139
 
3.2%
, 129
 
3.0%
시 128
 
3.0%
구 125
 
2.9%
) 124
 
2.9%
( 124
 
2.9%
Other values (211) 2253
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2799
64.9%
Space Separator 662
 
15.4%
Decimal Number 416
 
9.6%
Other Punctuation 129
 
3.0%
Close Punctuation 124
 
2.9%
Open Punctuation 124
 
2.9%
Uppercase Letter 33
 
0.8%
Lowercase Letter 13
 
0.3%
Math Symbol 7
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 283
 
10.1%
성 194
 
6.9%
서 151
 
5.4%
울 139
 
5.0%
시 128
 
4.6%
구 125
 
4.5%
특 123
 
4.4%
별 123
 
4.4%
로 96
 
3.4%
수 74
 
2.6%
Other values (169) 1363
48.7%
Uppercase Letter
ValueCountFrequency (%)
K 6
18.2%
T 5
15.2%
S 3
9.1%
C 3
9.1%
A 2
 
6.1%
V 2
 
6.1%
I 2
 
6.1%
O 2
 
6.1%
R 2
 
6.1%
W 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 101
24.3%
2 73
17.5%
3 50
12.0%
4 37
 
8.9%
7 35
 
8.4%
0 31
 
7.5%
5 27
 
6.5%
8 23
 
5.5%
6 20
 
4.8%
9 19
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
r 2
15.4%
e 2
15.4%
h 1
 
7.7%
p 1
 
7.7%
m 1
 
7.7%
a 1
 
7.7%
t 1
 
7.7%
w 1
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
662
100.0%
Other Punctuation
ValueCountFrequency (%)
, 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2799
64.9%
Common 1465
34.0%
Latin 48
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 283
 
10.1%
성 194
 
6.9%
서 151
 
5.4%
울 139
 
5.0%
시 128
 
4.6%
구 125
 
4.5%
특 123
 
4.4%
별 123
 
4.4%
로 96
 
3.4%
수 74
 
2.6%
Other values (169) 1363
48.7%
Latin
ValueCountFrequency (%)
K 6
 
12.5%
T 5
 
10.4%
S 3
 
6.2%
C 3
 
6.2%
o 3
 
6.2%
A 2
 
4.2%
r 2
 
4.2%
e 2
 
4.2%
V 2
 
4.2%
I 2
 
4.2%
Other values (16) 18
37.5%
Common
ValueCountFrequency (%)
662
45.2%
, 129
 
8.8%
) 124
 
8.5%
( 124
 
8.5%
1 101
 
6.9%
2 73
 
5.0%
3 50
 
3.4%
4 37
 
2.5%
7 35
 
2.4%
0 31
 
2.1%
Other values (6) 99
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2799
64.9%
ASCII 1511
35.0%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
662
43.8%
, 129
 
8.5%
) 124
 
8.2%
( 124
 
8.2%
1 101
 
6.7%
2 73
 
4.8%
3 50
 
3.3%
4 37
 
2.4%
7 35
 
2.3%
0 31
 
2.1%
Other values (30) 145
 
9.6%
Hangul
ValueCountFrequency (%)
동 283
 
10.1%
성 194
 
6.9%
서 151
 
5.4%
울 139
 
5.0%
시 128
 
4.6%
구 125
 
4.5%
특 123
 
4.4%
별 123
 
4.4%
로 96
 
3.4%
수 74
 
2.6%
Other values (169) 1363
48.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%

도로명우편번호
Real number (ℝ)

Distinct70
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4752.0163
Minimum4700
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T05:05:27.229746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4702.1
Q14719
median4750
Q34782
95-th percentile4803.8
Maximum4808
Range108
Interquartile range (IQR)63

Descriptive statistics

Standard deviation34.137135
Coefficient of variation (CV)0.007183716
Kurtosis-1.4319971
Mean4752.0163
Median Absolute Deviation (MAD)32
Skewness0.068137338
Sum584498
Variance1165.344
MonotonicityNot monotonic
2024-04-30T05:05:27.352567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4790 6
 
4.9%
4713 4
 
3.3%
4800 4
 
3.3%
4763 4
 
3.3%
4724 4
 
3.3%
4720 3
 
2.4%
4778 3
 
2.4%
4701 3
 
2.4%
4750 3
 
2.4%
4711 3
 
2.4%
Other values (60) 86
69.9%
ValueCountFrequency (%)
4700 2
1.6%
4701 3
2.4%
4702 2
1.6%
4703 1
 
0.8%
4705 1
 
0.8%
4706 1
 
0.8%
4709 2
1.6%
4710 1
 
0.8%
4711 3
2.4%
4712 1
 
0.8%
ValueCountFrequency (%)
4808 2
1.6%
4806 2
1.6%
4805 2
1.6%
4804 1
 
0.8%
4802 1
 
0.8%
4800 4
3.3%
4799 1
 
0.8%
4796 1
 
0.8%
4795 1
 
0.8%
4794 1
 
0.8%

사업장명
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T05:05:27.572732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length17.585366
Min length8

Characters and Unicode

Total characters2163
Distinct characters197
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

Unique123 ?
Unique (%)100.0%

Sample

1st row서울숲 코오롱디지털타워1차(지하1~3층)
2nd row서울숲 한라시그마밸리(지하1~5층)
3rd row지웰홈스 왕십리 지하1층~지하2층
4th row마장에스에이치빌 지하주차장(지하1층)
5th row송정동 공공복합청사(지하1층~ 3층 주차장)
ValueCountFrequency (%)
지하1층 23
 
7.4%
주차장 17
 
5.5%
지하 17
 
5.5%
지하주차장 15
 
4.8%
1층 13
 
4.2%
지하주차장(지하1층 10
 
3.2%
1~3층 7
 
2.3%
1~2층 6
 
1.9%
지하1~3층 5
 
1.6%
지식산업센터 4
 
1.3%
Other values (169) 194
62.4%
2024-04-30T05:05:27.953982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
8.7%
지 175
 
8.1%
하 161
 
7.4%
층 141
 
6.5%
1 119
 
5.5%
) 65
 
3.0%
( 65
 
3.0%
~ 62
 
2.9%
아 59
 
2.7%
차 59
 
2.7%
Other values (187) 1069
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1541
71.2%
Decimal Number 206
 
9.5%
Space Separator 188
 
8.7%
Close Punctuation 65
 
3.0%
Open Punctuation 65
 
3.0%
Math Symbol 62
 
2.9%
Uppercase Letter 32
 
1.5%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 175
 
11.4%
하 161
 
10.4%
층 141
 
9.1%
아 59
 
3.8%
차 59
 
3.8%
장 56
 
3.6%
파 55
 
3.6%
트 55
 
3.6%
주 54
 
3.5%
대 25
 
1.6%
Other values (161) 701
45.5%
Uppercase Letter
ValueCountFrequency (%)
K 7
21.9%
T 4
12.5%
S 4
12.5%
A 3
9.4%
C 3
9.4%
V 2
 
6.2%
I 2
 
6.2%
F 1
 
3.1%
O 1
 
3.1%
R 1
 
3.1%
Other values (4) 4
12.5%
Decimal Number
ValueCountFrequency (%)
1 119
57.8%
2 36
 
17.5%
3 28
 
13.6%
5 12
 
5.8%
4 8
 
3.9%
6 2
 
1.0%
8 1
 
0.5%
Space Separator
ValueCountFrequency (%)
188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Math Symbol
ValueCountFrequency (%)
~ 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1541
71.2%
Common 590
 
27.3%
Latin 32
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 175
 
11.4%
하 161
 
10.4%
층 141
 
9.1%
아 59
 
3.8%
차 59
 
3.8%
장 56
 
3.6%
파 55
 
3.6%
트 55
 
3.6%
주 54
 
3.5%
대 25
 
1.6%
Other values (161) 701
45.5%
Latin
ValueCountFrequency (%)
K 7
21.9%
T 4
12.5%
S 4
12.5%
A 3
9.4%
C 3
9.4%
V 2
 
6.2%
I 2
 
6.2%
F 1
 
3.1%
O 1
 
3.1%
R 1
 
3.1%
Other values (4) 4
12.5%
Common
ValueCountFrequency (%)
188
31.9%
1 119
20.2%
) 65
 
11.0%
( 65
 
11.0%
~ 62
 
10.5%
2 36
 
6.1%
3 28
 
4.7%
5 12
 
2.0%
4 8
 
1.4%
, 4
 
0.7%
Other values (2) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1541
71.2%
ASCII 622
28.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
30.2%
1 119
19.1%
) 65
 
10.5%
( 65
 
10.5%
~ 62
 
10.0%
2 36
 
5.8%
3 28
 
4.5%
5 12
 
1.9%
4 8
 
1.3%
K 7
 
1.1%
Other values (16) 32
 
5.1%
Hangul
ValueCountFrequency (%)
지 175
 
11.4%
하 161
 
10.4%
층 141
 
9.1%
아 59
 
3.8%
차 59
 
3.8%
장 56
 
3.6%
파 55
 
3.6%
트 55
 
3.6%
주 54
 
3.5%
대 25
 
1.6%
Other values (161) 701
45.5%

최종수정일자
Date

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2017-09-08 13:53:25
Maximum2024-03-11 15:20:08
2024-04-30T05:05:28.079750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:28.205657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
117 
I
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 117
95.1%
I 6
 
4.9%

Length

2024-04-30T05:05:28.320398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:28.405673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 117
95.1%
i 6
 
4.9%

데이터갱신일자
Categorical

Distinct25
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-11-30 22:04:00.0
29 
2023-12-02 23:03:00.0
12 
2023-11-30 22:05:00.0
11 
2023-12-02 00:02:00.0
9 
2022-12-06 22:03:00.0
7 
Other values (20)
55 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique12 ?
Unique (%)9.8%

Sample

1st row2022-12-06 22:00:00.0
2nd row2022-12-06 22:02:00.0
3rd row2023-11-30 22:05:00.0
4th row2023-11-30 22:01:00.0
5th row2023-12-02 00:02:00.0

Common Values

ValueCountFrequency (%)
2023-11-30 22:04:00.0 29
23.6%
2023-12-02 23:03:00.0 12
9.8%
2023-11-30 22:05:00.0 11
 
8.9%
2023-12-02 00:02:00.0 9
 
7.3%
2022-12-06 22:03:00.0 7
 
5.7%
2023-06-14 02:40:00.0 7
 
5.7%
2023-11-30 22:06:00.0 6
 
4.9%
2023-06-03 02:40:00.0 6
 
4.9%
2022-11-01 00:05:00.0 6
 
4.9%
2023-06-16 02:40:00.0 6
 
4.9%
Other values (15) 24
19.5%

Length

2024-04-30T05:05:28.506262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-11-30 52
21.1%
22:04:00.0 29
11.8%
02:40:00.0 25
 
10.2%
2023-12-02 21
 
8.5%
23:03:00.0 12
 
4.9%
22:05:00.0 11
 
4.5%
00:02:00.0 9
 
3.7%
2022-12-06 9
 
3.7%
2022-11-01 8
 
3.3%
22:03:00.0 7
 
2.8%
Other values (24) 63
25.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)94.1%
Missing4
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean203403.04
Minimum200813
Maximum206194.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T05:05:28.789888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200813
5-th percentile201381.33
Q1202419.39
median203239.11
Q3204428.8
95-th percentile205485.82
Maximum206194.67
Range5381.6703
Interquartile range (IQR)2009.41

Descriptive statistics

Standard deviation1284.6981
Coefficient of variation (CV)0.0063160221
Kurtosis-0.81225263
Mean203403.04
Median Absolute Deviation (MAD)950.81869
Skewness0.083050048
Sum24204961
Variance1650449.1
MonotonicityNot monotonic
2024-04-30T05:05:28.919515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204117.965772206 4
 
3.3%
202511.142930696 3
 
2.4%
202326.503044305 2
 
1.6%
201383.023709556 2
 
1.6%
202437.715224867 1
 
0.8%
206066.042818521 1
 
0.8%
204485.075569131 1
 
0.8%
204420.278836478 1
 
0.8%
203933.697716773 1
 
0.8%
204587.415225449 1
 
0.8%
Other values (102) 102
82.9%
(Missing) 4
 
3.3%
ValueCountFrequency (%)
200813.000885632 1
0.8%
200951.206580662 1
0.8%
201153.981577199 1
0.8%
201170.960314149 1
0.8%
201314.231772859 1
0.8%
201366.036667659 1
0.8%
201383.023709556 2
1.6%
201464.999527167 1
0.8%
201515.294659083 1
0.8%
201598.632393769 1
0.8%
ValueCountFrequency (%)
206194.671177891 1
0.8%
206066.042818521 1
0.8%
206045.763856651 1
0.8%
205981.573503633 1
0.8%
205872.055411963 1
0.8%
205525.616970821 1
0.8%
205481.402629049 1
0.8%
205182.636267526 1
0.8%
205114.666649348 1
0.8%
205092.751969481 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)94.1%
Missing4
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean450109.66
Minimum448121.69
Maximum452132.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T05:05:29.042843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448121.69
5-th percentile448638.54
Q1449379.16
median450069.93
Q3450930.41
95-th percentile451740.38
Maximum452132.4
Range4010.7104
Interquartile range (IQR)1551.2477

Descriptive statistics

Standard deviation993.06315
Coefficient of variation (CV)0.0022062693
Kurtosis-0.90712195
Mean450109.66
Median Absolute Deviation (MAD)768.48003
Skewness0.054084861
Sum53563050
Variance986174.42
MonotonicityNot monotonic
2024-04-30T05:05:29.179519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450608.519334481 4
 
3.3%
450401.303715561 3
 
2.4%
450625.58422744 2
 
1.6%
449744.280482389 2
 
1.6%
451119.619531835 1
 
0.8%
450200.931216351 1
 
0.8%
449779.82870751 1
 
0.8%
449579.219264753 1
 
0.8%
448762.825899457 1
 
0.8%
448179.869576203 1
 
0.8%
Other values (102) 102
82.9%
(Missing) 4
 
3.3%
ValueCountFrequency (%)
448121.687172695 1
0.8%
448179.869576203 1
0.8%
448241.50093862 1
0.8%
448325.41742117 1
0.8%
448383.090683861 1
0.8%
448614.910605472 1
0.8%
448641.165627602 1
0.8%
448669.043360044 1
0.8%
448680.10691012 1
0.8%
448762.825899457 1
0.8%
ValueCountFrequency (%)
452132.397540245 1
0.8%
451919.116536058 1
0.8%
451908.86237999 1
0.8%
451897.581865192 1
0.8%
451824.598496233 1
0.8%
451809.190992068 1
0.8%
451732.739342424 1
0.8%
451714.219184579 1
0.8%
451687.727773383 1
0.8%
451633.970207348 1
0.8%

비상시설위치
Text

MISSING 

Distinct27
Distinct (%)93.1%
Missing94
Missing (%)76.4%
Memory size1.1 KiB
2024-04-30T05:05:29.372510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length24.517241
Min length18

Characters and Unicode

Total characters711
Distinct characters79
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)89.7%

Sample

1st row서울특별시 성동구 사근동 110 한양대학교
2nd row서울특별시 성동구 사근동 110 한양대학교
3rd row서울특별시 성동구 사근동 110 한양대학교
4th row서울특별시 성동구 성수동1가 656-436 서울숲역
5th row서울특별시 성동구 성수동1가 656-323 성수문화복지회관
ValueCountFrequency (%)
서울특별시 29
20.9%
성동구 29
20.9%
성수동1가 8
 
5.8%
응봉동 7
 
5.0%
성수동2가 4
 
2.9%
금호동4가 4
 
2.9%
110 3
 
2.2%
사근동 3
 
2.2%
한양대학교 3
 
2.2%
서울숲 2
 
1.4%
Other values (46) 47
33.8%
2024-04-30T05:05:29.694160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
15.5%
동 60
 
8.4%
성 43
 
6.0%
서 33
 
4.6%
울 33
 
4.6%
구 30
 
4.2%
특 29
 
4.1%
별 29
 
4.1%
시 29
 
4.1%
1 27
 
3.8%
Other values (69) 288
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 469
66.0%
Decimal Number 118
 
16.6%
Space Separator 110
 
15.5%
Uppercase Letter 9
 
1.3%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 60
12.8%
성 43
 
9.2%
서 33
 
7.0%
울 33
 
7.0%
구 30
 
6.4%
특 29
 
6.2%
별 29
 
6.2%
시 29
 
6.2%
가 19
 
4.1%
지 16
 
3.4%
Other values (49) 148
31.6%
Decimal Number
ValueCountFrequency (%)
1 27
22.9%
0 16
13.6%
3 13
11.0%
4 12
10.2%
2 12
10.2%
6 11
9.3%
5 9
 
7.6%
7 9
 
7.6%
8 5
 
4.2%
9 4
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
C 1
11.1%
I 1
11.1%
F 1
11.1%
O 1
11.1%
R 1
11.1%
H 1
11.1%
U 1
11.1%
Space Separator
ValueCountFrequency (%)
110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 469
66.0%
Common 233
32.8%
Latin 9
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 60
12.8%
성 43
 
9.2%
서 33
 
7.0%
울 33
 
7.0%
구 30
 
6.4%
특 29
 
6.2%
별 29
 
6.2%
시 29
 
6.2%
가 19
 
4.1%
지 16
 
3.4%
Other values (49) 148
31.6%
Common
ValueCountFrequency (%)
110
47.2%
1 27
 
11.6%
0 16
 
6.9%
3 13
 
5.6%
4 12
 
5.2%
2 12
 
5.2%
6 11
 
4.7%
5 9
 
3.9%
7 9
 
3.9%
- 5
 
2.1%
Other values (2) 9
 
3.9%
Latin
ValueCountFrequency (%)
T 2
22.2%
C 1
11.1%
I 1
11.1%
F 1
11.1%
O 1
11.1%
R 1
11.1%
H 1
11.1%
U 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 469
66.0%
ASCII 242
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
45.5%
1 27
 
11.2%
0 16
 
6.6%
3 13
 
5.4%
4 12
 
5.0%
2 12
 
5.0%
6 11
 
4.5%
5 9
 
3.7%
7 9
 
3.7%
- 5
 
2.1%
Other values (10) 18
 
7.4%
Hangul
ValueCountFrequency (%)
동 60
12.8%
성 43
 
9.2%
서 33
 
7.0%
울 33
 
7.0%
구 30
 
6.4%
특 29
 
6.2%
별 29
 
6.2%
시 29
 
6.2%
가 19
 
4.1%
지 16
 
3.4%
Other values (49) 148
31.6%

시설구분명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
94 
공공용시설
28 
공공시설
 
1

Length

Max length5
Median length4
Mean length4.2276423
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 94
76.4%
공공용시설 28
 
22.8%
공공시설 1
 
0.8%

Length

2024-04-30T05:05:29.808354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:29.891874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
76.4%
공공용시설 28
 
22.8%
공공시설 1
 
0.8%

시설명_건물명
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing94
Missing (%)76.4%
Memory size1.1 KiB
2024-04-30T05:05:30.055102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length16.551724
Min length8

Characters and Unicode

Total characters480
Distinct characters102
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

Unique29 ?
Unique (%)100.0%

Sample

1st row한양대학교 대운동장 주차장 지하1층
2nd row한양대학교 대운동장 주차장 지하2층
3rd row한양대학교 한양종합기술연구원 주차장 지하 2층
4th row서울숲역 수인분당선 지하1층,4층
5th row성수문화복지회관 지하1~2층
ValueCountFrequency (%)
1층 9
 
12.0%
지하 9
 
12.0%
주차장 8
 
10.7%
한양대학교 3
 
4.0%
지하1~2층 2
 
2.7%
대운동장 2
 
2.7%
1~5층 2
 
2.7%
지하1~3층 2
 
2.7%
지하1층 2
 
2.7%
금호동롯데아파트 1
 
1.3%
Other values (35) 35
46.7%
2024-04-30T05:05:30.383564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
9.6%
지 33
 
6.9%
층 30
 
6.2%
하 30
 
6.2%
1 27
 
5.6%
아 21
 
4.4%
파 19
 
4.0%
트 19
 
4.0%
( 14
 
2.9%
) 14
 
2.9%
Other values (92) 227
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
71.2%
Space Separator 46
 
9.6%
Decimal Number 43
 
9.0%
Open Punctuation 14
 
2.9%
Close Punctuation 14
 
2.9%
Math Symbol 10
 
2.1%
Uppercase Letter 9
 
1.9%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 33
 
9.6%
층 30
 
8.8%
하 30
 
8.8%
아 21
 
6.1%
파 19
 
5.6%
트 19
 
5.6%
차 12
 
3.5%
대 12
 
3.5%
장 10
 
2.9%
주 8
 
2.3%
Other values (74) 148
43.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
O 1
11.1%
I 1
11.1%
C 1
11.1%
F 1
11.1%
R 1
11.1%
H 1
11.1%
U 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 27
62.8%
2 10
 
23.3%
3 3
 
7.0%
5 2
 
4.7%
4 1
 
2.3%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
71.2%
Common 129
 
26.9%
Latin 9
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 33
 
9.6%
층 30
 
8.8%
하 30
 
8.8%
아 21
 
6.1%
파 19
 
5.6%
트 19
 
5.6%
차 12
 
3.5%
대 12
 
3.5%
장 10
 
2.9%
주 8
 
2.3%
Other values (74) 148
43.3%
Common
ValueCountFrequency (%)
46
35.7%
1 27
20.9%
( 14
 
10.9%
) 14
 
10.9%
~ 10
 
7.8%
2 10
 
7.8%
3 3
 
2.3%
5 2
 
1.6%
, 2
 
1.6%
4 1
 
0.8%
Latin
ValueCountFrequency (%)
T 2
22.2%
O 1
11.1%
I 1
11.1%
C 1
11.1%
F 1
11.1%
R 1
11.1%
H 1
11.1%
U 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
71.2%
ASCII 138
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
33.3%
1 27
19.6%
( 14
 
10.1%
) 14
 
10.1%
~ 10
 
7.2%
2 10
 
7.2%
3 3
 
2.2%
5 2
 
1.4%
T 2
 
1.4%
, 2
 
1.4%
Other values (8) 8
 
5.8%
Hangul
ValueCountFrequency (%)
지 33
 
9.6%
층 30
 
8.8%
하 30
 
8.8%
아 21
 
6.1%
파 19
 
5.6%
트 19
 
5.6%
차 12
 
3.5%
대 12
 
3.5%
장 10
 
2.9%
주 8
 
2.3%
Other values (74) 148
43.3%

해제일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
20170908
 
1

Length

Max length8
Median length4
Mean length4.0325203
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 122
99.2%
20170908 1
 
0.8%

Length

2024-04-30T05:05:30.512651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:30.601111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
99.2%
20170908 1
 
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030300003030000-S2023000272023-07-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>15205.47<NA>서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 (성수동2가)4781서울숲 코오롱디지털타워1차(지하1~3층)2023-07-18 13:44:25I2022-12-06 22:00:00.0<NA>204522.096092448925.421927<NA><NA><NA><NA>
130300003030000-S2023000252023-07-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9953.06<NA>서울특별시 성동구 성수동2가 325-2 서울숲한라시그마벨리서울특별시 성동구 성수이로 51, 서울숲한라시그마벨리 (성수동2가)4781서울숲 한라시그마밸리(지하1~5층)2023-07-20 13:35:56U2022-12-06 22:02:00.0<NA>204798.346779448669.04336<NA><NA><NA><NA>
230300003030000-S2023000242023-07-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7462.0<NA>서울특별시 성동구 행당동 387 지웰홈스 왕십리서울특별시 성동구 고산자로14길 26 (행당동, 지웰홈스 왕십리)4750지웰홈스 왕십리 지하1층~지하2층2024-01-23 12:22:16U2023-11-30 22:05:00.0<NA>203251.829591451242.336473<NA><NA><NA><NA>
330300003030000-S2006000242006-05-16<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11186.07<NA>서울특별시 성동구 마장동 831 마장 에스에이치빌서울특별시 성동구 마조로15가길 23, 지하1층 (마장동, 마장 에스에이치빌)4759마장에스에이치빌 지하주차장(지하1층)2024-01-19 10:25:32U2023-11-30 22:01:00.0<NA>203463.530005451348.834733<NA><NA><NA><NA>
430300003030000-S2023000392023-12-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3112.0<NA>서울특별시 성동구 송정동 72-117 송정동 공공복합청사서울특별시 성동구 송정18가길 9, 송정동 공공복합청사 (송정동)4800송정동 공공복합청사(지하1층~ 3층 주차장)2024-01-31 10:08:32U2023-12-02 00:02:00.0<NA>205981.573504450120.340907<NA><NA><NA><NA>
530300003030000-S2006000012006-11-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>398.4<NA>서울특별시 성동구 하왕십리동 990번지서울특별시 성동구 왕십리로31나길 18 (하왕십리동, 한신무학아파트)4710한신무학아파트 지하1층2024-01-31 13:52:44U2023-12-02 00:02:00.0<NA>202437.715225451119.619532<NA><NA><NA><NA>
630300003030000-S2023000192023-07-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>13016.25<NA>서울특별시 성동구 사근동 110 한양대학교서울특별시 성동구 왕십리로 222, 한양대학교 (사근동)4763한양대학교 대운동장 주차장 지하1층2023-07-05 17:21:38I2023-07-07 00:19:05.0<NA>204117.965772450608.519334서울특별시 성동구 사근동 110 한양대학교공공용시설한양대학교 대운동장 주차장 지하1층<NA>
730300003030000-S2023000202023-07-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>12664.75<NA>서울특별시 성동구 사근동 110 한양대학교서울특별시 성동구 왕십리로 222, 한양대학교 (사근동)4763한양대학교 대운동장 주차장 지하2층2023-07-05 17:23:10I2023-07-07 00:19:05.0<NA>204117.965772450608.519334서울특별시 성동구 사근동 110 한양대학교공공용시설한양대학교 대운동장 주차장 지하2층<NA>
830300003030000-S2023000222023-07-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4916.15<NA>서울특별시 성동구 사근동 110 한양대학교서울특별시 성동구 왕십리로 222, 한양대학교 (사근동)4763한양대학교 한양종합기술연구원 주차장 지하 2층2023-07-05 17:32:33I2023-07-07 00:19:05.0<NA>204117.965772450608.519334서울특별시 성동구 사근동 110 한양대학교공공용시설한양대학교 한양종합기술연구원 주차장 지하 2층<NA>
930300003030000-S2023000212023-07-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5033.48<NA>서울특별시 성동구 사근동 110 한양대학교서울특별시 성동구 왕십리로 222, 한양대학교 (사근동)4763한양대학교 한양종합기술연구원 주차장 지하1층2023-08-14 10:39:17U2022-12-07 23:07:00.0<NA>204117.965772450608.519334<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
11330300003030000-S1994000021994-01-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1570.2<NA>서울특별시 성동구 마장동 479-2서울특별시 성동구 마장로27길 13, 지하1층 (마장동)4705한국전력공사 성동지사 지하주차장(지하1층)2024-01-19 10:27:42U2023-11-30 22:01:00.0<NA>202939.375813451714.219185<NA><NA><NA><NA>
11430300003030000-S2000000032000-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9816.0<NA>서울특별시 성동구 송정동 90번지서울특별시 성동구 동일로 263 (송정동, 송정동건영아파트)4800건영아파트(지하 1~3층 주차장)2024-01-22 14:04:52U2023-11-30 22:04:00.0<NA>206194.671178450416.341689<NA><NA><NA><NA>
11530300003030000-S1999000041999-02-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1880.52<NA>서울특별시 성동구 옥수동 4번지서울특별시 성동구 독서당로40길 25 (옥수동, 옥수현대아파트)4739옥수현대아파트단지 지하1층2024-01-22 14:12:34U2023-11-30 22:04:00.0<NA>201598.632394449038.549266<NA><NA><NA><NA>
11630300003030000-S2006000231998-11-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>10447.62<NA>서울특별시 성동구 옥수동 436번지서울특별시 성동구 독서당로 175 (옥수동, 극동그린아파트)4732옥수극동그린아파트 지하1층2024-01-22 14:16:56U2023-11-30 22:04:00.0<NA>200813.000886448855.573036<NA><NA><NA><NA>
11730300003030000-S2006000221998-11-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7260.76<NA>서울특별시 성동구 옥수동 428번지서울특별시 성동구 독서당로 191 (옥수동, 옥수동극동아파트)4732옥수극동아파트 지하1층2024-01-22 14:16:37U2023-11-30 22:04:00.0<NA>200951.206581449000.920062<NA><NA><NA><NA>
11830300003030000-S2000000111998-02-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>13604.65<NA>서울특별시 성동구 옥수동 100번지서울특별시 성동구 한림말길 50 (옥수동, 옥수하이츠아파트)4736옥수하이츠아파트(지하1~2층)2024-01-22 14:12:50U2023-11-30 22:04:00.0<NA>201366.036668448641.165628<NA><NA><NA><NA>
11930300003030000-S1998000031998-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5312.56<NA>서울특별시 성동구 성수동2가 277번지 1호서울특별시 성동구 광나루로 270 (성수동2가, 르노삼성자동차 성수사업소)4796르노삼성AS센터 (지하1층~지하3층)2024-01-22 13:16:23U2023-11-30 22:04:00.0<NA>205182.636268449538.207989<NA><NA><NA><NA>
12030300003030000-S2011000082011-06-10<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4557.0<NA>서울특별시 성동구 하왕십리동 1064번지서울특별시 성동구 무학봉길 76 (하왕십리동, 하왕십리 신영지웰)4714신영지웰아파트 지하1층2024-01-31 13:55:47U2023-12-02 00:02:00.0<NA>202678.829428450952.121476<NA><NA><NA><NA>
12130300003030000-S2006000022006-11-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2868.65<NA>서울특별시 성동구 하왕십리동 1061 왕십리풍림아이원서울특별시 성동구 난계로 84(하왕십리동, 왕십리풍림아이원)4712왕십리풍림아이원 지하1층2024-01-31 13:54:56U2023-12-02 00:02:00.0<NA>202167.126656450743.706933<NA><NA><NA><NA>
12230300003030000-S1984000031984-01-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5900.85<NA>서울특별시 성동구 하왕십리동 946번지 14호서울특별시 성동구 왕십리로 지하 374 (하왕십리동, 상왕십리역)47012호선 상왕십리역 지하1층2024-01-31 13:51:54U2023-12-02 00:02:00.0<NA>202563.964181451299.530533<NA><NA><NA><NA>