Overview

Dataset statistics

Number of variables29
Number of observations104
Missing cells800
Missing cells (%)26.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.0 KiB
Average record size in memory246.3 B

Variable types

Categorical10
Text7
DateTime3
Unsupported6
Numeric3

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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20035/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (65.8%)Imbalance
폐업일자 is highly imbalanced (65.8%)Imbalance
데이터갱신구분 is highly imbalanced (68.2%)Imbalance
시설구분명 is highly imbalanced (51.7%)Imbalance
해제일자 is highly imbalanced (75.4%)Imbalance
휴업시작일자 has 104 (100.0%) missing valuesMissing
휴업종료일자 has 104 (100.0%) missing valuesMissing
재개업일자 has 104 (100.0%) missing valuesMissing
전화번호 has 104 (100.0%) missing valuesMissing
소재지우편번호 has 104 (100.0%) missing valuesMissing
업태구분명 has 104 (100.0%) missing valuesMissing
비상시설위치 has 88 (84.6%) missing valuesMissing
시설명_건물명 has 88 (84.6%) 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 06:30:33.273317
Analysis finished2024-05-11 06:30:34.060012
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
3080000
104 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 104
100.0%

Length

2024-05-11T15:30:34.184830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:34.369938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 104
100.0%

관리번호
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-05-11T15:30:34.654727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1872
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

Unique104 ?
Unique (%)100.0%

Sample

1st row3080000-S202300006
2nd row3080000-S202400001
3rd row3080000-S202300005
4th row3080000-S201000002
5th row3080000-S200300047
ValueCountFrequency (%)
3080000-s202300006 1
 
1.0%
3080000-s202400001 1
 
1.0%
3080000-s201100002 1
 
1.0%
3080000-s201100004 1
 
1.0%
3080000-s201100014 1
 
1.0%
3080000-s199900004 1
 
1.0%
3080000-s200200003 1
 
1.0%
3080000-s200000013 1
 
1.0%
3080000-s201100008 1
 
1.0%
3080000-s200300020 1
 
1.0%
Other values (94) 94
90.4%
2024-05-11T15:30:35.193124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1052
56.2%
2 143
 
7.6%
3 139
 
7.4%
1 121
 
6.5%
8 112
 
6.0%
- 104
 
5.6%
S 104
 
5.6%
9 29
 
1.5%
6 25
 
1.3%
4 18
 
1.0%
Other values (2) 25
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1664
88.9%
Dash Punctuation 104
 
5.6%
Uppercase Letter 104
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1052
63.2%
2 143
 
8.6%
3 139
 
8.4%
1 121
 
7.3%
8 112
 
6.7%
9 29
 
1.7%
6 25
 
1.5%
4 18
 
1.1%
5 14
 
0.8%
7 11
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1768
94.4%
Latin 104
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1052
59.5%
2 143
 
8.1%
3 139
 
7.9%
1 121
 
6.8%
8 112
 
6.3%
- 104
 
5.9%
9 29
 
1.6%
6 25
 
1.4%
4 18
 
1.0%
5 14
 
0.8%
Latin
ValueCountFrequency (%)
S 104
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1872
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1052
56.2%
2 143
 
7.6%
3 139
 
7.4%
1 121
 
6.5%
8 112
 
6.0%
- 104
 
5.6%
S 104
 
5.6%
9 29
 
1.5%
6 25
 
1.3%
4 18
 
1.0%
Other values (2) 25
 
1.3%

인허가일자
Date

Distinct57
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
Minimum1992-01-01 00:00:00
Maximum2024-01-26 00:00:00
2024-05-11T15:30:35.514679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:35.773687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
87 
42754
 
5
2023-07-31
 
4
45012
 
2
2023-12-28
 
2
Other values (4)
 
4

Length

Max length10
Median length4
Mean length4.5961538
Min length4

Unique

Unique4 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
83.7%
42754 5
 
4.8%
2023-07-31 4
 
3.8%
45012 2
 
1.9%
2023-12-28 2
 
1.9%
2023-08-04 1
 
1.0%
2023-12-11 1
 
1.0%
2023-11-03 1
 
1.0%
43020 1
 
1.0%

Length

2024-05-11T15:30:36.001546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:36.195141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
83.7%
42754 5
 
4.8%
2023-07-31 4
 
3.8%
45012 2
 
1.9%
2023-12-28 2
 
1.9%
2023-08-04 1
 
1.0%
2023-12-11 1
 
1.0%
2023-11-03 1
 
1.0%
43020 1
 
1.0%

영업상태코드
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
1
87 
4
17 

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 87
83.7%
4 17
 
16.3%

Length

2024-05-11T15:30:36.384524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:36.522262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 87
83.7%
4 17
 
16.3%

영업상태명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
영업/정상
87 
취소/말소/만료/정지/중지
17 

Length

Max length14
Median length5
Mean length6.4711538
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 87
83.7%
취소/말소/만료/정지/중지 17
 
16.3%

Length

2024-05-11T15:30:36.735130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:36.883174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 87
83.7%
취소/말소/만료/정지/중지 17
 
16.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
18
87 
19
17 

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 87
83.7%
19 17
 
16.3%

Length

2024-05-11T15:30:37.018302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:37.144604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 87
83.7%
19 17
 
16.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
사용중
87 
사용중지
17 

Length

Max length4
Median length3
Mean length3.1634615
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 87
83.7%
사용중지 17
 
16.3%

Length

2024-05-11T15:30:37.301566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:37.448610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 87
83.7%
사용중지 17
 
16.3%

폐업일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
87 
42754
 
5
2023-07-31
 
4
45012
 
2
2023-12-28
 
2
Other values (4)
 
4

Length

Max length10
Median length4
Mean length4.5961538
Min length4

Unique

Unique4 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
83.7%
42754 5
 
4.8%
2023-07-31 4
 
3.8%
45012 2
 
1.9%
2023-12-28 2
 
1.9%
2023-08-04 1
 
1.0%
2023-12-11 1
 
1.0%
2023-11-03 1
 
1.0%
43020 1
 
1.0%

Length

2024-05-11T15:30:37.596387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:37.794204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
83.7%
42754 5
 
4.8%
2023-07-31 4
 
3.8%
45012 2
 
1.9%
2023-12-28 2
 
1.9%
2023-08-04 1
 
1.0%
2023-12-11 1
 
1.0%
2023-11-03 1
 
1.0%
43020 1
 
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

소재지면적
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45231.685
Minimum99.17
Maximum4105106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:30:38.023743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.17
5-th percentile397.6285
Q11660.2425
median3335.145
Q37464.0225
95-th percentile21175.629
Maximum4105106
Range4105006.8
Interquartile range (IQR)5803.78

Descriptive statistics

Standard deviation402039.14
Coefficient of variation (CV)8.8884406
Kurtosis103.92478
Mean45231.685
Median Absolute Deviation (MAD)2222.645
Skewness10.192585
Sum4704095.2
Variance1.6163547 × 1011
MonotonicityNot monotonic
2024-05-11T15:30:38.211953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
661.16 2
 
1.9%
2146.0 1
 
1.0%
3540.26 1
 
1.0%
1894.07 1
 
1.0%
1014.56 1
 
1.0%
1772.27 1
 
1.0%
678.0 1
 
1.0%
1818.19 1
 
1.0%
240.0 1
 
1.0%
4440.53 1
 
1.0%
Other values (93) 93
89.4%
ValueCountFrequency (%)
99.17 1
1.0%
240.0 1
1.0%
254.0 1
1.0%
298.21 1
1.0%
344.88 1
1.0%
396.7 1
1.0%
402.89 1
1.0%
433.0 1
1.0%
454.2 1
1.0%
582.13 1
1.0%
ValueCountFrequency (%)
4105106.0 1
1.0%
57526.99 1
1.0%
28472.86 1
1.0%
22007.92 1
1.0%
21970.0 1
1.0%
21567.0 1
1.0%
18957.86 1
1.0%
17942.0 1
1.0%
16267.0 1
1.0%
15407.0 1
1.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

지번주소
Text

Distinct76
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-05-11T15:30:38.602292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length21.721154
Min length17

Characters and Unicode

Total characters2259
Distinct characters72
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)66.3%

Sample

1st row서울특별시 강북구 미아동 1353 SK북한산시티아파트
2nd row서울특별시 강북구 미아동 1364 연이빌딩
3rd row서울특별시 강북구 미아동 1353 SK북한산시티아파트
4th row서울특별시 강북구 미아동 813번지
5th row서울특별시 강북구 수유동 731번지
ValueCountFrequency (%)
서울특별시 104
21.9%
강북구 104
21.9%
미아동 56
11.8%
수유동 28
 
5.9%
번동 17
 
3.6%
1354 11
 
2.3%
벽산라이브파크 11
 
2.3%
1353번지 11
 
2.3%
1357번지 4
 
0.8%
1호 4
 
0.8%
Other values (105) 125
26.3%
2024-05-11T15:30:39.214262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
 
16.4%
시 107
 
4.7%
북 107
 
4.7%
서 104
 
4.6%
동 104
 
4.6%
특 104
 
4.6%
별 104
 
4.6%
강 104
 
4.6%
구 104
 
4.6%
울 104
 
4.6%
Other values (62) 946
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1483
65.6%
Decimal Number 394
 
17.4%
Space Separator 371
 
16.4%
Uppercase Letter 6
 
0.3%
Dash Punctuation 4
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 107
 
7.2%
북 107
 
7.2%
서 104
 
7.0%
동 104
 
7.0%
특 104
 
7.0%
별 104
 
7.0%
강 104
 
7.0%
구 104
 
7.0%
울 104
 
7.0%
번 99
 
6.7%
Other values (47) 442
29.8%
Decimal Number
ValueCountFrequency (%)
1 88
22.3%
3 72
18.3%
5 58
14.7%
4 43
10.9%
7 27
 
6.9%
2 27
 
6.9%
0 24
 
6.1%
6 20
 
5.1%
9 20
 
5.1%
8 15
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
K 3
50.0%
Space Separator
ValueCountFrequency (%)
371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1483
65.6%
Common 770
34.1%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 107
 
7.2%
북 107
 
7.2%
서 104
 
7.0%
동 104
 
7.0%
특 104
 
7.0%
별 104
 
7.0%
강 104
 
7.0%
구 104
 
7.0%
울 104
 
7.0%
번 99
 
6.7%
Other values (47) 442
29.8%
Common
ValueCountFrequency (%)
371
48.2%
1 88
 
11.4%
3 72
 
9.4%
5 58
 
7.5%
4 43
 
5.6%
7 27
 
3.5%
2 27
 
3.5%
0 24
 
3.1%
6 20
 
2.6%
9 20
 
2.6%
Other values (3) 20
 
2.6%
Latin
ValueCountFrequency (%)
S 3
50.0%
K 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1483
65.6%
ASCII 776
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
47.8%
1 88
 
11.3%
3 72
 
9.3%
5 58
 
7.5%
4 43
 
5.5%
7 27
 
3.5%
2 27
 
3.5%
0 24
 
3.1%
6 20
 
2.6%
9 20
 
2.6%
Other values (5) 26
 
3.4%
Hangul
ValueCountFrequency (%)
시 107
 
7.2%
북 107
 
7.2%
서 104
 
7.0%
동 104
 
7.0%
특 104
 
7.0%
별 104
 
7.0%
강 104
 
7.0%
구 104
 
7.0%
울 104
 
7.0%
번 99
 
6.7%
Other values (47) 442
29.8%

도로명주소
Text

Distinct87
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-05-11T15:30:39.676681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length34.278846
Min length22

Characters and Unicode

Total characters3565
Distinct characters178
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

Unique82 ?
Unique (%)78.8%

Sample

1st row서울특별시 강북구 솔샘로 174, 135동 (미아동, SK북한산시티아파트)
2nd row서울특별시 강북구 도봉로 52, 연이빌딩 (미아동)
3rd row서울특별시 강북구 솔샘로 174, 113동 (미아동, SK북한산시티아파트)
4th row서울특별시 강북구 삼양로19길 25 (미아동, 삼성래미안트리베라1차아파트)
5th row서울특별시 강북구 인수봉로23가길 3 (수유동, SH스카이)
ValueCountFrequency (%)
서울특별시 104
16.1%
강북구 104
16.1%
미아동 56
 
8.7%
수유동 29
 
4.5%
솔샘로 25
 
3.9%
도봉로 16
 
2.5%
번동 16
 
2.5%
174 14
 
2.2%
sk북한산시티아파트 14
 
2.2%
벽산라이브파크 11
 
1.7%
Other values (195) 257
39.8%
2024-05-11T15:30:40.354444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
542
 
15.2%
북 121
 
3.4%
동 120
 
3.4%
시 120
 
3.4%
아 115
 
3.2%
1 114
 
3.2%
, 110
 
3.1%
서 107
 
3.0%
강 106
 
3.0%
구 106
 
3.0%
Other values (168) 2004
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2248
63.1%
Space Separator 542
 
15.2%
Decimal Number 412
 
11.6%
Other Punctuation 111
 
3.1%
Open Punctuation 104
 
2.9%
Close Punctuation 104
 
2.9%
Uppercase Letter 30
 
0.8%
Dash Punctuation 7
 
0.2%
Math Symbol 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 121
 
5.4%
동 120
 
5.3%
시 120
 
5.3%
아 115
 
5.1%
서 107
 
4.8%
강 106
 
4.7%
구 106
 
4.7%
울 105
 
4.7%
로 105
 
4.7%
별 105
 
4.7%
Other values (148) 1138
50.6%
Decimal Number
ValueCountFrequency (%)
1 114
27.7%
3 51
12.4%
9 41
 
10.0%
4 40
 
9.7%
2 39
 
9.5%
5 35
 
8.5%
7 30
 
7.3%
8 26
 
6.3%
6 19
 
4.6%
0 17
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
S 15
50.0%
K 14
46.7%
H 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 110
99.1%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
542
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2248
63.1%
Common 1287
36.1%
Latin 30
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 121
 
5.4%
동 120
 
5.3%
시 120
 
5.3%
아 115
 
5.1%
서 107
 
4.8%
강 106
 
4.7%
구 106
 
4.7%
울 105
 
4.7%
로 105
 
4.7%
별 105
 
4.7%
Other values (148) 1138
50.6%
Common
ValueCountFrequency (%)
542
42.1%
1 114
 
8.9%
, 110
 
8.5%
( 104
 
8.1%
) 104
 
8.1%
3 51
 
4.0%
9 41
 
3.2%
4 40
 
3.1%
2 39
 
3.0%
5 35
 
2.7%
Other values (7) 107
 
8.3%
Latin
ValueCountFrequency (%)
S 15
50.0%
K 14
46.7%
H 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2248
63.1%
ASCII 1317
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
542
41.2%
1 114
 
8.7%
, 110
 
8.4%
( 104
 
7.9%
) 104
 
7.9%
3 51
 
3.9%
9 41
 
3.1%
4 40
 
3.0%
2 39
 
3.0%
5 35
 
2.7%
Other values (10) 137
 
10.4%
Hangul
ValueCountFrequency (%)
북 121
 
5.4%
동 120
 
5.3%
시 120
 
5.3%
아 115
 
5.1%
서 107
 
4.8%
강 106
 
4.7%
구 106
 
4.7%
울 105
 
4.7%
로 105
 
4.7%
별 105
 
4.7%
Other values (148) 1138
50.6%

도로명우편번호
Text

Distinct62
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-05-11T15:30:40.829535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.875
Min length4

Characters and Unicode

Total characters507
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)38.5%

Sample

1st row01192
2nd row01215
3rd row01192
4th row01200
5th row1096
ValueCountFrequency (%)
01192 10
 
9.6%
01191 9
 
8.7%
1192 4
 
3.8%
01198 3
 
2.9%
01073 3
 
2.9%
01215 3
 
2.9%
01042 2
 
1.9%
01062 2
 
1.9%
01161 2
 
1.9%
01144 2
 
1.9%
Other values (52) 64
61.5%
2024-05-11T15:30:41.596302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 189
37.3%
0 139
27.4%
2 52
 
10.3%
9 34
 
6.7%
3 25
 
4.9%
6 17
 
3.4%
7 16
 
3.2%
4 14
 
2.8%
5 11
 
2.2%
8 9
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 506
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 189
37.4%
0 139
27.5%
2 52
 
10.3%
9 34
 
6.7%
3 25
 
4.9%
6 17
 
3.4%
7 16
 
3.2%
4 14
 
2.8%
5 11
 
2.2%
8 9
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 507
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 189
37.3%
0 139
27.4%
2 52
 
10.3%
9 34
 
6.7%
3 25
 
4.9%
6 17
 
3.4%
7 16
 
3.2%
4 14
 
2.8%
5 11
 
2.2%
8 9
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 189
37.3%
0 139
27.4%
2 52
 
10.3%
9 34
 
6.7%
3 25
 
4.9%
6 17
 
3.4%
7 16
 
3.2%
4 14
 
2.8%
5 11
 
2.2%
8 9
 
1.8%

사업장명
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-05-11T15:30:41.933074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length22.221154
Min length11

Characters and Unicode

Total characters2311
Distinct characters176
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

Unique104 ?
Unique (%)100.0%

Sample

1st rowSK북한산시티아파트(P207, 135동)(지하3층)
2nd row와이스퀘어(지하3~4층)
3rd rowSK북한산시티아파트(P203, 113동)(지하2~3층)
4th row래미안 트리베라1차 아파트 주차장(삼각산동)(지하3층)
5th rowSH스카이아파트 주차장-수유1동(지하1층)
ValueCountFrequency (%)
주차장 12
 
4.7%
10
 
3.9%
삼양동벽산아파트 7
 
2.7%
삼양동 6
 
2.3%
우이동 5
 
1.9%
지하 4
 
1.6%
3층 4
 
1.6%
주차장)(번1동 4
 
1.6%
수유2동 4
 
1.6%
삼각산아이원아파트 3
 
1.2%
Other values (176) 198
77.0%
2024-05-11T15:30:42.557052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
6.7%
( 127
 
5.5%
) 127
 
5.5%
동 116
 
5.0%
지 103
 
4.5%
1 100
 
4.3%
하 98
 
4.2%
층 97
 
4.2%
2 88
 
3.8%
아 85
 
3.7%
Other values (166) 1216
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1430
61.9%
Decimal Number 322
 
13.9%
Space Separator 154
 
6.7%
Open Punctuation 127
 
5.5%
Close Punctuation 127
 
5.5%
Dash Punctuation 49
 
2.1%
Uppercase Letter 36
 
1.6%
Math Symbol 33
 
1.4%
Other Punctuation 21
 
0.9%
Lowercase Letter 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 116
 
8.1%
지 103
 
7.2%
하 98
 
6.9%
층 97
 
6.8%
아 85
 
5.9%
트 71
 
5.0%
파 68
 
4.8%
주 49
 
3.4%
차 49
 
3.4%
장 45
 
3.1%
Other values (143) 649
45.4%
Decimal Number
ValueCountFrequency (%)
1 100
31.1%
2 88
27.3%
3 60
18.6%
0 24
 
7.5%
4 18
 
5.6%
5 8
 
2.5%
9 7
 
2.2%
7 7
 
2.2%
6 7
 
2.2%
8 3
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 18
50.0%
S 9
25.0%
K 8
22.2%
H 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 20
95.2%
/ 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 6
50.0%
k 6
50.0%
Space Separator
ValueCountFrequency (%)
154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1430
61.9%
Common 833
36.0%
Latin 48
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 116
 
8.1%
지 103
 
7.2%
하 98
 
6.9%
층 97
 
6.8%
아 85
 
5.9%
트 71
 
5.0%
파 68
 
4.8%
주 49
 
3.4%
차 49
 
3.4%
장 45
 
3.1%
Other values (143) 649
45.4%
Common
ValueCountFrequency (%)
154
18.5%
( 127
15.2%
) 127
15.2%
1 100
12.0%
2 88
10.6%
3 60
 
7.2%
- 49
 
5.9%
~ 33
 
4.0%
0 24
 
2.9%
, 20
 
2.4%
Other values (7) 51
 
6.1%
Latin
ValueCountFrequency (%)
P 18
37.5%
S 9
18.8%
K 8
16.7%
s 6
 
12.5%
k 6
 
12.5%
H 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1430
61.9%
ASCII 881
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
17.5%
( 127
14.4%
) 127
14.4%
1 100
11.4%
2 88
10.0%
3 60
 
6.8%
- 49
 
5.6%
~ 33
 
3.7%
0 24
 
2.7%
, 20
 
2.3%
Other values (13) 99
11.2%
Hangul
ValueCountFrequency (%)
동 116
 
8.1%
지 103
 
7.2%
하 98
 
6.9%
층 97
 
6.8%
아 85
 
5.9%
트 71
 
5.0%
파 68
 
4.8%
주 49
 
3.4%
차 49
 
3.4%
장 45
 
3.1%
Other values (143) 649
45.4%

최종수정일자
Date

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
Minimum2017-01-24 16:44:14
Maximum2024-02-27 12:14:12
2024-05-11T15:30:42.785641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:43.024523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
U
98 
I
 
6

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 98
94.2%
I 6
 
5.8%

Length

2024-05-11T15:30:43.311532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:43.482046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 98
94.2%
i 6
 
5.8%

데이터갱신일자
Date

Distinct23
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size964.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:03:00
2024-05-11T15:30:43.668551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:43.887406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct75
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201863.94
Minimum200234.13
Maximum203784.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:30:44.096056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200234.13
5-th percentile200886.33
Q1201045.61
median201911.44
Q3202349.36
95-th percentile203160.44
Maximum203784.36
Range3550.226
Interquartile range (IQR)1303.7531

Descriptive statistics

Standard deviation791.09492
Coefficient of variation (CV)0.0039189511
Kurtosis-0.71547025
Mean201863.94
Median Absolute Deviation (MAD)713.55946
Skewness0.31950282
Sum20993850
Variance625831.17
MonotonicityNot monotonic
2024-05-11T15:30:44.329768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201045.611312321 14
 
13.5%
200886.333781015 11
 
10.6%
201530.926516903 4
 
3.8%
201760.433753367 2
 
1.9%
201524.718069664 2
 
1.9%
201606.445832012 2
 
1.9%
202642.446045912 1
 
1.0%
203083.468974539 1
 
1.0%
200913.604923265 1
 
1.0%
201468.81016291 1
 
1.0%
Other values (65) 65
62.5%
ValueCountFrequency (%)
200234.13213979 1
 
1.0%
200868.4734049 1
 
1.0%
200879.779988046 1
 
1.0%
200886.333781015 11
10.6%
200891.232032306 1
 
1.0%
200913.604923265 1
 
1.0%
200977.439598223 1
 
1.0%
200981.792002485 1
 
1.0%
201045.611312321 14
13.5%
201425.248301789 1
 
1.0%
ValueCountFrequency (%)
203784.358132827 1
1.0%
203742.886285674 1
1.0%
203405.728060301 1
1.0%
203293.68539573 1
1.0%
203242.511375372 1
1.0%
203160.494747285 1
1.0%
203160.153576134 1
1.0%
203134.941547976 1
1.0%
203083.468974539 1
1.0%
203066.668992 1
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct75
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458382.73
Minimum456636.31
Maximum461880.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T15:30:44.578309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456636.31
5-th percentile456849.96
Q1457292.96
median458173.08
Q3459434.4
95-th percentile460260.14
Maximum461880.88
Range5244.5724
Interquartile range (IQR)2141.4407

Descriptive statistics

Standard deviation1212.5594
Coefficient of variation (CV)0.002645299
Kurtosis-0.53291261
Mean458382.73
Median Absolute Deviation (MAD)891.84146
Skewness0.5663718
Sum47671804
Variance1470300.3
MonotonicityNot monotonic
2024-05-11T15:30:44.845915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457292.961457264 14
 
13.5%
457645.184347648 11
 
10.6%
456987.839409342 4
 
3.8%
456845.373829971 2
 
1.9%
460260.14134764 2
 
1.9%
460001.632075829 2
 
1.9%
456636.308192293 1
 
1.0%
456988.612676639 1
 
1.0%
461449.073521991 1
 
1.0%
458692.772931457 1
 
1.0%
Other values (65) 65
62.5%
ValueCountFrequency (%)
456636.308192293 1
 
1.0%
456713.409260851 1
 
1.0%
456770.630403897 1
 
1.0%
456818.85207077 1
 
1.0%
456845.373829971 2
1.9%
456875.973976242 1
 
1.0%
456943.819705953 1
 
1.0%
456987.839409342 4
3.8%
456988.612676639 1
 
1.0%
457086.776276439 1
 
1.0%
ValueCountFrequency (%)
461880.880559769 1
1.0%
461449.073521991 1
1.0%
461054.15131988 1
1.0%
460617.035634302 1
1.0%
460338.957849528 1
1.0%
460260.14134764 2
1.9%
460020.981733386 1
1.0%
460001.632075829 2
1.9%
459981.690837699 1
1.0%
459940.473115349 1
1.0%

비상시설위치
Text

MISSING 

Distinct12
Distinct (%)75.0%
Missing88
Missing (%)84.6%
Memory size964.0 B
2024-05-11T15:30:45.489019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.25
Min length18

Characters and Unicode

Total characters340
Distinct characters35
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

Unique10 ?
Unique (%)62.5%

Sample

1st row서울특별시 강북구 수유동 731번지
2nd row서울특별시 강북구 우이동 139번지 10호
3rd row서울특별시 강북구 수유동 520번지
4th row서울특별시 강북구 수유동 568번지 100호
5th row서울특별시 강북구 미아동 87번지 141호
ValueCountFrequency (%)
서울특별시 16
22.9%
강북구 16
22.9%
미아동 9
12.9%
1353번지 4
 
5.7%
수유동 4
 
5.7%
1354 2
 
2.9%
벽산라이브파크 2
 
2.9%
우이동 2
 
2.9%
141호 1
 
1.4%
813번지 1
 
1.4%
Other values (13) 13
18.6%
2024-05-11T15:30:46.073323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
15.9%
서 16
 
4.7%
북 16
 
4.7%
1 16
 
4.7%
동 16
 
4.7%
구 16
 
4.7%
울 16
 
4.7%
강 16
 
4.7%
시 16
 
4.7%
별 16
 
4.7%
Other values (25) 142
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
65.0%
Decimal Number 65
 
19.1%
Space Separator 54
 
15.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 16
 
7.2%
북 16
 
7.2%
동 16
 
7.2%
구 16
 
7.2%
울 16
 
7.2%
강 16
 
7.2%
시 16
 
7.2%
별 16
 
7.2%
특 16
 
7.2%
번 15
 
6.8%
Other values (14) 62
28.1%
Decimal Number
ValueCountFrequency (%)
1 16
24.6%
3 15
23.1%
5 10
15.4%
0 6
 
9.2%
4 6
 
9.2%
7 4
 
6.2%
8 3
 
4.6%
2 2
 
3.1%
6 2
 
3.1%
9 1
 
1.5%
Space Separator
ValueCountFrequency (%)
54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
65.0%
Common 119
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 16
 
7.2%
북 16
 
7.2%
동 16
 
7.2%
구 16
 
7.2%
울 16
 
7.2%
강 16
 
7.2%
시 16
 
7.2%
별 16
 
7.2%
특 16
 
7.2%
번 15
 
6.8%
Other values (14) 62
28.1%
Common
ValueCountFrequency (%)
54
45.4%
1 16
 
13.4%
3 15
 
12.6%
5 10
 
8.4%
0 6
 
5.0%
4 6
 
5.0%
7 4
 
3.4%
8 3
 
2.5%
2 2
 
1.7%
6 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
65.0%
ASCII 119
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
45.4%
1 16
 
13.4%
3 15
 
12.6%
5 10
 
8.4%
0 6
 
5.0%
4 6
 
5.0%
7 4
 
3.4%
8 3
 
2.5%
2 2
 
1.7%
6 2
 
1.7%
Hangul
ValueCountFrequency (%)
서 16
 
7.2%
북 16
 
7.2%
동 16
 
7.2%
구 16
 
7.2%
울 16
 
7.2%
강 16
 
7.2%
시 16
 
7.2%
별 16
 
7.2%
특 16
 
7.2%
번 15
 
6.8%
Other values (14) 62
28.1%

시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
88 
공공용시설
10 
공공시설
 
6

Length

Max length5
Median length4
Mean length4.0961538
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
84.6%
공공용시설 10
 
9.6%
공공시설 6
 
5.8%

Length

2024-05-11T15:30:46.294131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:46.448485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
84.6%
공공용시설 10
 
9.6%
공공시설 6
 
5.8%

시설명_건물명
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing88
Missing (%)84.6%
Memory size964.0 B
2024-05-11T15:30:46.736624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21.5
Mean length17.125
Min length11

Characters and Unicode

Total characters274
Distinct characters77
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

Unique16 ?
Unique (%)100.0%

Sample

1st rowSH스카이아파트 주차장-수유1동(지하1층)
2nd row우이제일교회 사회복지관(지하1층) - 우이동
3rd row국립재활원-인수동(지하2층)
4th row우이동 주민센터(지하1층)
5th row송중동주민센터(지하1층)
ValueCountFrequency (%)
3
 
9.1%
우이동 3
 
9.1%
삼양동 2
 
6.1%
sh스카이아파트 1
 
3.0%
삼성래미안트리베라1차 1
 
3.0%
벽산라이브파크아파트 1
 
3.0%
삼각산아이원아파트3-삼각산동 1
 
3.0%
sk아파트1-삼각산동 1
 
3.0%
sk아파트3-삼각산동 1
 
3.0%
p8(114동 1
 
3.0%
Other values (18) 18
54.5%
2024-05-11T15:30:47.318470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 18
 
6.6%
17
 
6.2%
1 15
 
5.5%
- 11
 
4.0%
파 10
 
3.6%
삼 10
 
3.6%
산 9
 
3.3%
아 9
 
3.3%
트 9
 
3.3%
) 9
 
3.3%
Other values (67) 157
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
69.0%
Decimal Number 26
 
9.5%
Space Separator 17
 
6.2%
Dash Punctuation 11
 
4.0%
Close Punctuation 9
 
3.3%
Open Punctuation 9
 
3.3%
Lowercase Letter 8
 
2.9%
Uppercase Letter 4
 
1.5%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 18
 
9.5%
파 10
 
5.3%
삼 10
 
5.3%
산 9
 
4.8%
아 9
 
4.8%
트 9
 
4.8%
지 9
 
4.8%
층 8
 
4.2%
하 8
 
4.2%
이 8
 
4.2%
Other values (49) 91
48.1%
Decimal Number
ValueCountFrequency (%)
1 15
57.7%
2 4
 
15.4%
3 2
 
7.7%
9 1
 
3.8%
6 1
 
3.8%
4 1
 
3.8%
7 1
 
3.8%
8 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
S 1
25.0%
H 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
s 4
50.0%
k 4
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
69.0%
Common 73
 
26.6%
Latin 12
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 18
 
9.5%
파 10
 
5.3%
삼 10
 
5.3%
산 9
 
4.8%
아 9
 
4.8%
트 9
 
4.8%
지 9
 
4.8%
층 8
 
4.2%
하 8
 
4.2%
이 8
 
4.2%
Other values (49) 91
48.1%
Common
ValueCountFrequency (%)
17
23.3%
1 15
20.5%
- 11
15.1%
) 9
12.3%
( 9
12.3%
2 4
 
5.5%
3 2
 
2.7%
9 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
Other values (3) 3
 
4.1%
Latin
ValueCountFrequency (%)
s 4
33.3%
k 4
33.3%
P 2
16.7%
S 1
 
8.3%
H 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
69.0%
ASCII 85
31.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 18
 
9.5%
파 10
 
5.3%
삼 10
 
5.3%
산 9
 
4.8%
아 9
 
4.8%
트 9
 
4.8%
지 9
 
4.8%
층 8
 
4.2%
하 8
 
4.2%
이 8
 
4.2%
Other values (49) 91
48.1%
ASCII
ValueCountFrequency (%)
17
20.0%
1 15
17.6%
- 11
12.9%
) 9
10.6%
( 9
10.6%
s 4
 
4.7%
2 4
 
4.7%
k 4
 
4.7%
P 2
 
2.4%
3 2
 
2.4%
Other values (8) 8
9.4%

해제일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
96 
20170119
 
5
20230327
 
2
20171012
 
1

Length

Max length8
Median length4
Mean length4.3076923
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
92.3%
20170119 5
 
4.8%
20230327 2
 
1.9%
20171012 1
 
1.0%

Length

2024-05-11T15:30:47.573790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:47.765422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
92.3%
20170119 5
 
4.8%
20230327 2
 
1.9%
20171012 1
 
1.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030800003080000-S2023000062023-07-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2146.0<NA>서울특별시 강북구 미아동 1353 SK북한산시티아파트서울특별시 강북구 솔샘로 174, 135동 (미아동, SK북한산시티아파트)01192SK북한산시티아파트(P207, 135동)(지하3층)2024-01-06 20:08:45U2023-12-01 00:08:00.0<NA>201045.611312457292.961457<NA><NA><NA><NA>
130800003080000-S2024000012024-01-22<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3299.13<NA>서울특별시 강북구 미아동 1364 연이빌딩서울특별시 강북구 도봉로 52, 연이빌딩 (미아동)01215와이스퀘어(지하3~4층)2024-01-30 12:33:59U2023-12-02 00:01:00.0<NA>202624.617263456818.852071<NA><NA><NA><NA>
230800003080000-S2023000052023-07-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7972.0<NA>서울특별시 강북구 미아동 1353 SK북한산시티아파트서울특별시 강북구 솔샘로 174, 113동 (미아동, SK북한산시티아파트)01192SK북한산시티아파트(P203, 113동)(지하2~3층)2024-01-06 20:08:17U2023-12-01 00:08:00.0<NA>201045.611312457292.961457<NA><NA><NA><NA>
330800003080000-S2010000022013-12-17<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>22007.92<NA>서울특별시 강북구 미아동 813번지서울특별시 강북구 삼양로19길 25 (미아동, 삼성래미안트리베라1차아파트)01200래미안 트리베라1차 아파트 주차장(삼각산동)(지하3층)2024-01-06 20:09:18U2023-12-01 00:08:00.0<NA>201760.433753456845.37383<NA><NA><NA><NA>
430800003080000-S2003000472003-01-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>661.16<NA>서울특별시 강북구 수유동 731번지서울특별시 강북구 인수봉로23가길 3 (수유동, SH스카이)1096SH스카이아파트 주차장-수유1동(지하1층)2023-04-06 19:48:11U2023-04-08 02:40:00.0<NA>200977.439598458362.526392서울특별시 강북구 수유동 731번지공공용시설SH스카이아파트 주차장-수유1동(지하1층)<NA>
530800003080000-S2000000232000-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>433.0<NA>서울특별시 강북구 우이동 139번지 10호서울특별시 강북구 삼양로163길 63 (우이동, 우이제일교회 사회복지관)1003우이제일교회 사회복지관(지하1층) - 우이동2023-03-30 09:20:46U2023-04-01 02:40:00.0<NA>200879.779988461880.88056서울특별시 강북구 우이동 139번지 10호공공용시설우이제일교회 사회복지관(지하1층) - 우이동<NA>
630800003080000-S2004000012012-06-122023-07-314취소/말소/만료/정지/중지19사용중지2023-07-31<NA><NA><NA><NA>4105106.0<NA>서울특별시 강북구 미아동 1357번지서울특별시 강북구 삼양로19길 113 (미아동, 삼각산아이원아파트)01198삼각산아이원아파트 주차장(104,105,106-지하3)2023-08-02 13:05:48U2022-12-08 00:04:00.0<NA>201530.926517456987.839409<NA><NA><NA><NA>
730800003080000-S2006000052006-05-18<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2193.0<NA>서울특별시 강북구 수유동 520번지서울특별시 강북구 삼각산로 58 (수유동, 국립재활원)1022국립재활원-인수동(지하2층)2023-06-15 18:39:11U2023-06-17 02:40:00.0<NA>200868.473405459614.353527서울특별시 강북구 수유동 520번지공공용시설국립재활원-인수동(지하2층)<NA>
830800003080000-S2012000122012-06-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4154.32<NA>서울특별시 강북구 미아동 1353번지서울특별시 강북구 솔샘로 174 (미아동, SK북한산시티아파트)01192SK북한산시티아파트(P211, 147동)(지하2~3층)2024-01-06 20:07:09U2023-12-01 00:08:00.0<NA>201045.611312457292.961457<NA><NA><NA><NA>
930800003080000-S2012000062012-06-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3986.18<NA>서울특별시 강북구 미아동 1353번지서울특별시 강북구 솔샘로 174 (미아동, SK북한산시티아파트)01192SK북한산시티아파트(P205, 122동)(지하3층)2024-01-05 18:00:43U2023-12-01 00:07:00.0<NA>201045.611312457292.961457<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
9430800003080000-S2006000192006-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1487.0<NA>서울특별시 강북구 번동 204번지서울특별시 강북구 월계로37길 87-9 (번동, 신원아파트)01226신원아파트-번3동(지하2층)2024-01-05 17:14:48U2023-12-01 00:07:00.0<NA>203742.886286458165.113951<NA><NA><NA><NA>
9530800003080000-S2006000072006-05-18<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>396.7<NA>서울특별시 강북구 수유동 45번지 9호서울특별시 강북구 도봉로 301 (수유동, 대한병원)01081대한병원-인수동(지하1층)2024-01-05 18:46:18U2023-12-01 00:07:00.0<NA>201951.614012459211.452747<NA><NA><NA><NA>
9630800003080000-S2000000162005-11-21<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>661.16<NA>서울특별시 강북구 수유동 224번지 15호서울특별시 강북구 노해로8길 29 (수유동, 현대크리스탈)01072현대크리스탈(지하1~2층)-수유3동2024-01-05 17:04:35U2023-12-01 00:07:00.0<NA>202066.032206459574.807943<NA><NA><NA><NA>
9730800003080000-S2005000042006-10-132023-12-284취소/말소/만료/정지/중지19사용중지2023-12-28<NA><NA><NA><NA>13515.0<NA>서울특별시 강북구 미아동 1355번지서울특별시 강북구 월계로21가길 41 (미아동, 미아한일유앤아이)01235한일유엔아이아파트(송중동)(지하1~2층)2024-01-03 10:26:47U2023-12-01 00:05:00.0<NA>203160.153576456943.819706<NA><NA><NA><NA>
9830800003080000-S1998000061998-07-012023-12-284취소/말소/만료/정지/중지19사용중지2023-12-28<NA><NA><NA><NA>344.88<NA>서울특별시 강북구 수유동 535번지 353호서울특별시 강북구 4.19로 123 (수유동, 통일교육원)01018통일교육원-인수동(지하1층)2024-01-03 10:26:05U2023-12-01 00:05:00.0<NA>200234.13214459923.973286<NA><NA><NA><NA>
9930800003080000-S2000000022000-02-21<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1534.88<NA>서울특별시 강북구 미아동 121-21 미성빌딩서울특별시 강북구 도봉로 188, 미성빌딩 (미아동)01157미성빌딩-미아동(지하1층 ~ 지하 2층)2024-01-22 14:32:59U2023-11-30 22:04:00.0<NA>202322.482516458143.864371<NA><NA><NA><NA>
10030800003080000-S1999000052003-07-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4408.0<NA>서울특별시 강북구 번동 139번지서울특별시 강북구 오현로 156-0 (번동, 해모로아파트)01223해모로아파트-번3동(지하2층~지하3층)2024-01-05 17:11:24U2023-12-01 00:07:00.0<NA>203242.511375458226.512519<NA><NA><NA><NA>
10130800003080000-S2003000362003-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>17942.0<NA>서울특별시 강북구 수유동 730번지서울특별시 강북구 한천로159길 8 (수유동, 래미안수유아파트)01040래미안수유아파트(지하2, 3층 주차장) (수유2동)2024-01-05 17:15:20U2023-12-01 00:07:00.0<NA>201524.71807460260.141348<NA><NA><NA><NA>
10230800003080000-S2000000142000-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1487.61<NA>서울특별시 강북구 수유동 192번지 59호서울특별시 강북구 도봉로89길 13 (수유동, 강북구청)01071강북구청(지하1층)-수유3동2024-01-05 17:03:49U2023-12-01 00:07:00.0<NA>202178.772316459687.049923<NA><NA><NA><NA>
10330800003080000-S2000000152000-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3795.06<NA>서울특별시 강북구 수유동 140번지서울특별시 강북구 도봉로 지하 338 (수유동, 수유역)01062수유역(지하1층)-수유3동2024-01-05 17:04:12U2023-12-01 00:07:00.0<NA>202066.875485459769.643758<NA><NA><NA><NA>