Overview

Dataset statistics

Number of variables29
Number of observations124
Missing cells895
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.8 KiB
Average record size in memory246.1 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20034/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (70.6%)Imbalance
영업상태코드 is highly imbalanced (51.6%)Imbalance
영업상태명 is highly imbalanced (51.6%)Imbalance
상세영업상태코드 is highly imbalanced (51.6%)Imbalance
상세영업상태명 is highly imbalanced (51.6%)Imbalance
폐업일자 is highly imbalanced (70.6%)Imbalance
해제일자 is highly imbalanced (67.1%)Imbalance
휴업시작일자 has 124 (100.0%) missing valuesMissing
휴업종료일자 has 124 (100.0%) missing valuesMissing
재개업일자 has 124 (100.0%) missing valuesMissing
전화번호 has 124 (100.0%) missing valuesMissing
소재지우편번호 has 124 (100.0%) missing valuesMissing
업태구분명 has 124 (100.0%) missing valuesMissing
비상시설위치 has 74 (59.7%) missing valuesMissing
시설명_건물명 has 74 (59.7%) 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 06:11:32.769010
Analysis finished2024-05-11 06:11:34.112951
Duration1.34 second
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
3070000
124 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 124
100.0%

Length

2024-05-11T06:11:34.336998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:34.646964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 124
100.0%

관리번호
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:11:35.253832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2232
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

Unique124 ?
Unique (%)100.0%

Sample

1st row3070000-S202200001
2nd row3070000-S201800003
3rd row3070000-S201800004
4th row3070000-S201200007
5th row3070000-S201200004
ValueCountFrequency (%)
3070000-s202200001 1
 
0.8%
3070000-s200900001 1
 
0.8%
3070000-s201500004 1
 
0.8%
3070000-s200700001 1
 
0.8%
3070000-s199900001 1
 
0.8%
3070000-s200200002 1
 
0.8%
3070000-s201500014 1
 
0.8%
3070000-s201500013 1
 
0.8%
3070000-s201500012 1
 
0.8%
3070000-s199100006 1
 
0.8%
Other values (114) 114
91.9%
2024-05-11T06:11:36.123908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1245
55.8%
1 162
 
7.3%
3 157
 
7.0%
2 151
 
6.8%
7 148
 
6.6%
- 124
 
5.6%
S 124
 
5.6%
9 37
 
1.7%
5 26
 
1.2%
8 20
 
0.9%
Other values (2) 38
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1984
88.9%
Dash Punctuation 124
 
5.6%
Uppercase Letter 124
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1245
62.8%
1 162
 
8.2%
3 157
 
7.9%
2 151
 
7.6%
7 148
 
7.5%
9 37
 
1.9%
5 26
 
1.3%
8 20
 
1.0%
4 20
 
1.0%
6 18
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2108
94.4%
Latin 124
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1245
59.1%
1 162
 
7.7%
3 157
 
7.4%
2 151
 
7.2%
7 148
 
7.0%
- 124
 
5.9%
9 37
 
1.8%
5 26
 
1.2%
8 20
 
0.9%
4 20
 
0.9%
Latin
ValueCountFrequency (%)
S 124
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1245
55.8%
1 162
 
7.3%
3 157
 
7.0%
2 151
 
6.8%
7 148
 
6.6%
- 124
 
5.6%
S 124
 
5.6%
9 37
 
1.7%
5 26
 
1.2%
8 20
 
0.9%
Other values (2) 38
 
1.7%

인허가일자
Date

Distinct54
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1985-04-30 00:00:00
Maximum2023-06-13 00:00:00
2024-05-11T06:11:36.554627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:11:36.992352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
111 
43053
 
10
43021
 
2
2023-11-05
 
1

Length

Max length10
Median length4
Mean length4.1451613
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row2023-11-05
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 111
89.5%
43053 10
 
8.1%
43021 2
 
1.6%
2023-11-05 1
 
0.8%

Length

2024-05-11T06:11:37.468708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:37.809265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 111
89.5%
43053 10
 
8.1%
43021 2
 
1.6%
2023-11-05 1
 
0.8%

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
111 
4
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 111
89.5%
4 13
 
10.5%

Length

2024-05-11T06:11:38.210060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:38.524710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 111
89.5%
4 13
 
10.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
111 
취소/말소/만료/정지/중지
13 

Length

Max length14
Median length5
Mean length5.9435484
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 111
89.5%
취소/말소/만료/정지/중지 13
 
10.5%

Length

2024-05-11T06:11:38.857020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:39.417229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 111
89.5%
취소/말소/만료/정지/중지 13
 
10.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
18
111 
19
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
18 111
89.5%
19 13
 
10.5%

Length

2024-05-11T06:11:39.734594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:40.040357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 111
89.5%
19 13
 
10.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
사용중
111 
사용중지
13 

Length

Max length4
Median length3
Mean length3.1048387
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 111
89.5%
사용중지 13
 
10.5%

Length

2024-05-11T06:11:40.390219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:40.732754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 111
89.5%
사용중지 13
 
10.5%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
111 
43053
 
10
43021
 
2
2023-11-05
 
1

Length

Max length10
Median length4
Mean length4.1451613
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row2023-11-05
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 111
89.5%
43053 10
 
8.1%
43021 2
 
1.6%
2023-11-05 1
 
0.8%

Length

2024-05-11T06:11:41.125471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:41.540242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 111
89.5%
43053 10
 
8.1%
43021 2
 
1.6%
2023-11-05 1
 
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

소재지면적
Real number (ℝ)

Distinct113
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18151.346
Minimum1
Maximum338733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:11:41.915499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14306.75
median11082
Q323224.25
95-th percentile46867.2
Maximum338733
Range338732
Interquartile range (IQR)18917.5

Descriptive statistics

Standard deviation33116.235
Coefficient of variation (CV)1.8244506
Kurtosis72.14224
Mean18151.346
Median Absolute Deviation (MAD)8381.5
Skewness7.6128344
Sum2250766.9
Variance1.096685 × 109
MonotonicityNot monotonic
2024-05-11T06:11:42.418850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 12
 
9.7%
5511.32 1
 
0.8%
900.0 1
 
0.8%
5468.0 1
 
0.8%
16596.0 1
 
0.8%
6952.0 1
 
0.8%
25709.0 1
 
0.8%
793.37 1
 
0.8%
11611.0 1
 
0.8%
7764.0 1
 
0.8%
Other values (103) 103
83.1%
ValueCountFrequency (%)
1.0 12
9.7%
120.64 1
 
0.8%
150.0 1
 
0.8%
500.0 1
 
0.8%
793.37 1
 
0.8%
900.0 1
 
0.8%
932.24 1
 
0.8%
1022.0 1
 
0.8%
1143.81 1
 
0.8%
1325.0 1
 
0.8%
ValueCountFrequency (%)
338733.0 1
0.8%
74044.0 1
0.8%
72266.0 1
0.8%
65472.0 1
0.8%
61230.0 1
0.8%
54959.0 1
0.8%
47601.0 1
0.8%
42709.0 1
0.8%
42400.77 1
0.8%
42046.0 1
0.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

지번주소
Text

Distinct110
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:11:43.025852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length21.491935
Min length18

Characters and Unicode

Total characters2665
Distinct characters111
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

Unique107 ?
Unique (%)86.3%

Sample

1st row서울특별시 성북구 장위동 189-3
2nd row서울특별시 성북구 정릉동 289번지 94호 북한산보국문역
3rd row서울특별시 성북구 돈암동 173번지 1호
4th row서울특별시 성북구 정릉동 210번지
5th row서울특별시 성북구 정릉동 494번지
ValueCountFrequency (%)
서울특별시 124
22.5%
성북구 124
22.5%
돈암동 25
 
4.5%
1호 23
 
4.2%
정릉동 21
 
3.8%
하월곡동 17
 
3.1%
길음동 14
 
2.5%
609번지 13
 
2.4%
장위동 12
 
2.2%
석관동 7
 
1.3%
Other values (148) 171
31.0%
2024-05-11T06:11:44.554392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
427
 
16.0%
동 129
 
4.8%
성 126
 
4.7%
북 126
 
4.7%
시 125
 
4.7%
서 124
 
4.7%
특 124
 
4.7%
별 124
 
4.7%
구 124
 
4.7%
울 124
 
4.7%
Other values (101) 1112
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1774
66.6%
Decimal Number 448
 
16.8%
Space Separator 427
 
16.0%
Dash Punctuation 7
 
0.3%
Uppercase Letter 6
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 129
 
7.3%
성 126
 
7.1%
북 126
 
7.1%
시 125
 
7.0%
서 124
 
7.0%
특 124
 
7.0%
별 124
 
7.0%
구 124
 
7.0%
울 124
 
7.0%
번 108
 
6.1%
Other values (80) 540
30.4%
Decimal Number
ValueCountFrequency (%)
1 102
22.8%
2 77
17.2%
0 53
11.8%
3 45
10.0%
6 41
9.2%
4 39
 
8.7%
9 27
 
6.0%
5 26
 
5.8%
8 21
 
4.7%
7 17
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
W 1
16.7%
S 1
16.7%
K 1
16.7%
V 1
16.7%
I 1
16.7%
E 1
16.7%
Space Separator
ValueCountFrequency (%)
427
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1774
66.6%
Common 884
33.2%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 129
 
7.3%
성 126
 
7.1%
북 126
 
7.1%
시 125
 
7.0%
서 124
 
7.0%
특 124
 
7.0%
별 124
 
7.0%
구 124
 
7.0%
울 124
 
7.0%
번 108
 
6.1%
Other values (80) 540
30.4%
Common
ValueCountFrequency (%)
427
48.3%
1 102
 
11.5%
2 77
 
8.7%
0 53
 
6.0%
3 45
 
5.1%
6 41
 
4.6%
4 39
 
4.4%
9 27
 
3.1%
5 26
 
2.9%
8 21
 
2.4%
Other values (4) 26
 
2.9%
Latin
ValueCountFrequency (%)
W 1
14.3%
S 1
14.3%
K 1
14.3%
V 1
14.3%
I 1
14.3%
E 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1774
66.6%
ASCII 891
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
427
47.9%
1 102
 
11.4%
2 77
 
8.6%
0 53
 
5.9%
3 45
 
5.1%
6 41
 
4.6%
4 39
 
4.4%
9 27
 
3.0%
5 26
 
2.9%
8 21
 
2.4%
Other values (11) 33
 
3.7%
Hangul
ValueCountFrequency (%)
동 129
 
7.3%
성 126
 
7.1%
북 126
 
7.1%
시 125
 
7.0%
서 124
 
7.0%
특 124
 
7.0%
별 124
 
7.0%
구 124
 
7.0%
울 124
 
7.0%
번 108
 
6.1%
Other values (80) 540
30.4%

도로명주소
Text

Distinct112
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:11:45.659783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length29.072581
Min length22

Characters and Unicode

Total characters3605
Distinct characters161
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

Unique109 ?
Unique (%)87.9%

Sample

1st row서울특별시 성북구 돌곶이로40길 46(장위동)
2nd row서울특별시 성북구 보국문로 지하 88, 북한산보국문역 (정릉동)
3rd row서울특별시 성북구 보문로34다길 2 (돈암동, 성신여자대학교)
4th row서울특별시 성북구 서경로 31 (정릉동, 푸른마을 동아아파트)
5th row서울특별시 성북구 아리랑로19길 60 (정릉동, 중앙하이츠빌1단지아파트)
ValueCountFrequency (%)
서울특별시 124
 
18.0%
성북구 124
 
18.0%
돈암동 25
 
3.6%
정릉동 21
 
3.0%
하월곡동 17
 
2.5%
길음동 14
 
2.0%
성북로4길 13
 
1.9%
52 13
 
1.9%
한신한진아파트 11
 
1.6%
장위동 11
 
1.6%
Other values (217) 317
45.9%
2024-05-11T06:11:47.282312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
 
15.7%
동 147
 
4.1%
북 146
 
4.0%
성 143
 
4.0%
서 127
 
3.5%
구 126
 
3.5%
시 125
 
3.5%
울 125
 
3.5%
( 124
 
3.4%
특 124
 
3.4%
Other values (151) 1852
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2298
63.7%
Space Separator 566
 
15.7%
Decimal Number 427
 
11.8%
Open Punctuation 124
 
3.4%
Close Punctuation 124
 
3.4%
Other Punctuation 50
 
1.4%
Dash Punctuation 9
 
0.2%
Uppercase Letter 6
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 147
 
6.4%
북 146
 
6.4%
성 143
 
6.2%
서 127
 
5.5%
구 126
 
5.5%
시 125
 
5.4%
울 125
 
5.4%
특 124
 
5.4%
별 124
 
5.4%
로 122
 
5.3%
Other values (129) 989
43.0%
Decimal Number
ValueCountFrequency (%)
1 78
18.3%
2 70
16.4%
4 57
13.3%
5 51
11.9%
3 42
9.8%
6 30
 
7.0%
8 28
 
6.6%
0 28
 
6.6%
7 25
 
5.9%
9 18
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
K 1
16.7%
V 1
16.7%
I 1
16.7%
E 1
16.7%
W 1
16.7%
Space Separator
ValueCountFrequency (%)
566
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2298
63.7%
Common 1300
36.1%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 147
 
6.4%
북 146
 
6.4%
성 143
 
6.2%
서 127
 
5.5%
구 126
 
5.5%
시 125
 
5.4%
울 125
 
5.4%
특 124
 
5.4%
별 124
 
5.4%
로 122
 
5.3%
Other values (129) 989
43.0%
Common
ValueCountFrequency (%)
566
43.5%
( 124
 
9.5%
) 124
 
9.5%
1 78
 
6.0%
2 70
 
5.4%
4 57
 
4.4%
5 51
 
3.9%
, 50
 
3.8%
3 42
 
3.2%
6 30
 
2.3%
Other values (5) 108
 
8.3%
Latin
ValueCountFrequency (%)
e 1
14.3%
S 1
14.3%
K 1
14.3%
V 1
14.3%
I 1
14.3%
E 1
14.3%
W 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2298
63.7%
ASCII 1307
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
43.3%
( 124
 
9.5%
) 124
 
9.5%
1 78
 
6.0%
2 70
 
5.4%
4 57
 
4.4%
5 51
 
3.9%
, 50
 
3.8%
3 42
 
3.2%
6 30
 
2.3%
Other values (12) 115
 
8.8%
Hangul
ValueCountFrequency (%)
동 147
 
6.4%
북 146
 
6.4%
성 143
 
6.2%
서 127
 
5.5%
구 126
 
5.5%
시 125
 
5.4%
울 125
 
5.4%
특 124
 
5.4%
별 124
 
5.4%
로 122
 
5.3%
Other values (129) 989
43.0%

도로명우편번호
Text

Distinct90
Distinct (%)73.2%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-05-11T06:11:48.112334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2357724
Min length4

Characters and Unicode

Total characters644
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

Unique71 ?
Unique (%)57.7%

Sample

1st row02762
2nd row02711
3rd row02844
4th row02716
5th row02813
ValueCountFrequency (%)
2831 11
 
8.9%
02794 3
 
2.4%
02710 3
 
2.4%
02735 3
 
2.4%
02719 3
 
2.4%
02751 3
 
2.4%
02720 2
 
1.6%
02830 2
 
1.6%
02790 2
 
1.6%
02757 2
 
1.6%
Other values (80) 89
72.4%
2024-05-11T06:11:49.151237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 121
18.8%
0 109
16.9%
7 92
14.3%
1 70
10.9%
3 60
9.3%
8 53
8.2%
6 43
 
6.7%
5 30
 
4.7%
- 26
 
4.0%
4 23
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 618
96.0%
Dash Punctuation 26
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 121
19.6%
0 109
17.6%
7 92
14.9%
1 70
11.3%
3 60
9.7%
8 53
8.6%
6 43
 
7.0%
5 30
 
4.9%
4 23
 
3.7%
9 17
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 121
18.8%
0 109
16.9%
7 92
14.3%
1 70
10.9%
3 60
9.3%
8 53
8.2%
6 43
 
6.7%
5 30
 
4.7%
- 26
 
4.0%
4 23
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 121
18.8%
0 109
16.9%
7 92
14.3%
1 70
10.9%
3 60
9.3%
8 53
8.2%
6 43
 
6.7%
5 30
 
4.7%
- 26
 
4.0%
4 23
 
3.6%

사업장명
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:11:49.624669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length23.274194
Min length9

Characters and Unicode

Total characters2886
Distinct characters203
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

Unique124 ?
Unique (%)100.0%

Sample

1st row꿈의숲 아이파크 지하주차장(지하2층)
2nd row우이신설경전철 북한산보국문역(지하1층~지하2층)
3rd row성신여자대학교교직원주차장(수정관) 지하 2층
4th row푸른마을동아아파트(101~107동)지하1~3층주차장
5th row정릉중앙하이츠빌1단지(101~105동) 지하주차장3층
ValueCountFrequency (%)
지하주차장 28
 
9.1%
한신한진아파트 12
 
3.9%
1층~2층 11
 
3.6%
지하1층 10
 
3.3%
지하주차장(지하1~3층 8
 
2.6%
1층~3층 8
 
2.6%
1층 7
 
2.3%
7
 
2.3%
지하주차장(지하 7
 
2.3%
지하3층 5
 
1.6%
Other values (181) 204
66.4%
2024-05-11T06:11:50.490298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 206
 
7.1%
하 204
 
7.1%
184
 
6.4%
1 180
 
6.2%
층 144
 
5.0%
차 115
 
4.0%
( 112
 
3.9%
장 109
 
3.8%
) 109
 
3.8%
주 105
 
3.6%
Other values (193) 1418
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1942
67.3%
Decimal Number 408
 
14.1%
Space Separator 184
 
6.4%
Open Punctuation 112
 
3.9%
Close Punctuation 109
 
3.8%
Math Symbol 85
 
2.9%
Other Punctuation 22
 
0.8%
Uppercase Letter 19
 
0.7%
Lowercase Letter 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 206
 
10.6%
하 204
 
10.5%
층 144
 
7.4%
차 115
 
5.9%
장 109
 
5.6%
주 105
 
5.4%
트 93
 
4.8%
아 89
 
4.6%
파 83
 
4.3%
동 66
 
3.4%
Other values (164) 728
37.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
15.8%
I 2
10.5%
E 2
10.5%
W 2
10.5%
V 2
10.5%
K 2
10.5%
B 2
10.5%
H 1
 
5.3%
T 1
 
5.3%
P 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 180
44.1%
2 67
 
16.4%
0 51
 
12.5%
3 50
 
12.3%
4 25
 
6.1%
6 13
 
3.2%
5 8
 
2.0%
7 7
 
1.7%
9 5
 
1.2%
8 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
/ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Math Symbol
ValueCountFrequency (%)
~ 85
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1942
67.3%
Common 922
31.9%
Latin 22
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 206
 
10.6%
하 204
 
10.5%
층 144
 
7.4%
차 115
 
5.9%
장 109
 
5.6%
주 105
 
5.4%
트 93
 
4.8%
아 89
 
4.6%
파 83
 
4.3%
동 66
 
3.4%
Other values (164) 728
37.5%
Common
ValueCountFrequency (%)
184
20.0%
1 180
19.5%
( 112
12.1%
) 109
11.8%
~ 85
9.2%
2 67
 
7.3%
0 51
 
5.5%
3 50
 
5.4%
4 25
 
2.7%
, 21
 
2.3%
Other values (7) 38
 
4.1%
Latin
ValueCountFrequency (%)
e 3
13.6%
S 3
13.6%
I 2
9.1%
E 2
9.1%
W 2
9.1%
V 2
9.1%
K 2
9.1%
B 2
9.1%
H 1
 
4.5%
T 1
 
4.5%
Other values (2) 2
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1942
67.3%
ASCII 944
32.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 206
 
10.6%
하 204
 
10.5%
층 144
 
7.4%
차 115
 
5.9%
장 109
 
5.6%
주 105
 
5.4%
트 93
 
4.8%
아 89
 
4.6%
파 83
 
4.3%
동 66
 
3.4%
Other values (164) 728
37.5%
ASCII
ValueCountFrequency (%)
184
19.5%
1 180
19.1%
( 112
11.9%
) 109
11.5%
~ 85
9.0%
2 67
 
7.1%
0 51
 
5.4%
3 50
 
5.3%
4 25
 
2.6%
, 21
 
2.2%
Other values (19) 60
 
6.4%

최종수정일자
Date

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2017-10-13 17:22:54
Maximum2024-01-29 09:45:35
2024-05-11T06:11:50.908404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:11:51.407505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
110 
I
14 

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 110
88.7%
I 14
 
11.3%

Length

2024-05-11T06:11:51.913063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:52.244418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 110
88.7%
i 14
 
11.3%

데이터갱신일자
Date

Distinct23
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:07:00
2024-05-11T06:11:52.541216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:11:52.945729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct108
Distinct (%)87.8%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean202218.89
Minimum200166.78
Maximum205996.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:11:53.355939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200166.78
5-th percentile200665.87
Q1201042.56
median201688.08
Q3203252.6
95-th percentile204964.66
Maximum205996.72
Range5829.9355
Interquartile range (IQR)2210.0408

Descriptive statistics

Standard deviation1444.5337
Coefficient of variation (CV)0.0071434164
Kurtosis-0.28993112
Mean202218.89
Median Absolute Deviation (MAD)846.34834
Skewness0.83742467
Sum24872923
Variance2086677.7
MonotonicityNot monotonic
2024-05-11T06:11:53.917819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200841.726990037 13
 
10.5%
202667.468802014 2
 
1.6%
203186.220809685 2
 
1.6%
203318.127254872 2
 
1.6%
204225.832819654 1
 
0.8%
200958.804987758 1
 
0.8%
202993.828926981 1
 
0.8%
205020.608686581 1
 
0.8%
200812.658723443 1
 
0.8%
201671.71861473 1
 
0.8%
Other values (98) 98
79.0%
ValueCountFrequency (%)
200166.782414043 1
0.8%
200232.805838173 1
0.8%
200443.56826147 1
0.8%
200450.800864893 1
0.8%
200575.420521471 1
0.8%
200607.770294756 1
0.8%
200665.330156899 1
0.8%
200670.698208475 1
0.8%
200765.952478782 1
0.8%
200812.658723443 1
0.8%
ValueCountFrequency (%)
205996.717928956 1
0.8%
205818.852385165 1
0.8%
205733.885475417 1
0.8%
205725.865213454 1
0.8%
205115.270098014 1
0.8%
205020.608686581 1
0.8%
204976.294641203 1
0.8%
204859.915500907 1
0.8%
204789.323556821 1
0.8%
204744.352139997 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct108
Distinct (%)87.8%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean455562.99
Minimum453314.43
Maximum457873.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:11:54.342995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453314.43
5-th percentile453721.45
Q1454721.51
median455606.72
Q3456215.72
95-th percentile457354.86
Maximum457873.13
Range4558.6954
Interquartile range (IQR)1494.2146

Descriptive statistics

Standard deviation1054.4515
Coefficient of variation (CV)0.0023146118
Kurtosis-0.40578237
Mean455562.99
Median Absolute Deviation (MAD)776.24926
Skewness-0.069860711
Sum56034248
Variance1111867.9
MonotonicityNot monotonic
2024-05-11T06:11:54.872956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454721.505180141 13
 
10.5%
455858.920803881 2
 
1.6%
456457.110608708 2
 
1.6%
456078.982123486 2
 
1.6%
457424.675484944 1
 
0.8%
453889.562150121 1
 
0.8%
455929.62503843 1
 
0.8%
456783.766604012 1
 
0.8%
455996.211145446 1
 
0.8%
453719.039869879 1
 
0.8%
Other values (98) 98
79.0%
ValueCountFrequency (%)
453314.434034844 1
0.8%
453330.16529015 1
0.8%
453374.992934742 1
0.8%
453465.694044554 1
0.8%
453538.128929737 1
0.8%
453698.193159625 1
0.8%
453719.039869879 1
0.8%
453743.097352948 1
0.8%
453754.395333333 1
0.8%
453871.264665299 1
0.8%
ValueCountFrequency (%)
457873.129406188 1
0.8%
457791.927618039 1
0.8%
457579.21641655 1
0.8%
457527.065931978 1
0.8%
457482.018043748 1
0.8%
457424.675484944 1
0.8%
457360.617372111 1
0.8%
457303.0232809 1
0.8%
457297.865876295 1
0.8%
457257.953267578 1
0.8%

비상시설위치
Text

MISSING 

Distinct37
Distinct (%)74.0%
Missing74
Missing (%)59.7%
Memory size1.1 KiB
2024-05-11T06:11:55.559870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length21.58
Min length18

Characters and Unicode

Total characters1079
Distinct characters65
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

Unique35 ?
Unique (%)70.0%

Sample

1st row서울특별시 성북구 정릉동 1030 정릉 힐스테이트1차
2nd row서울특별시 성북구 정릉동 1035 정릉2차 e-편한세상
3rd row서울특별시 성북구 안암동5가 146번지 1호
4th row서울특별시 성북구 종암동 104번지 1호
5th row서울특별시 성북구 종암동 135 종암2차 SK VIEW
ValueCountFrequency (%)
서울특별시 50
21.7%
성북구 50
21.7%
돈암동 24
10.4%
1호 18
 
7.8%
609번지 13
 
5.7%
종암동 6
 
2.6%
하월곡동 4
 
1.7%
230번지 3
 
1.3%
안암동5가 3
 
1.3%
보문동3가 2
 
0.9%
Other values (54) 57
24.8%
2024-05-11T06:11:56.624122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
16.7%
서 50
 
4.6%
동 50
 
4.6%
특 50
 
4.6%
별 50
 
4.6%
시 50
 
4.6%
성 50
 
4.6%
북 50
 
4.6%
구 50
 
4.6%
울 50
 
4.6%
Other values (55) 449
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 707
65.5%
Decimal Number 183
 
17.0%
Space Separator 180
 
16.7%
Uppercase Letter 6
 
0.6%
Dash Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 50
 
7.1%
동 50
 
7.1%
특 50
 
7.1%
별 50
 
7.1%
시 50
 
7.1%
성 50
 
7.1%
북 50
 
7.1%
구 50
 
7.1%
울 50
 
7.1%
지 44
 
6.2%
Other values (36) 213
30.1%
Decimal Number
ValueCountFrequency (%)
1 40
21.9%
6 28
15.3%
0 24
13.1%
3 21
11.5%
2 21
11.5%
4 15
 
8.2%
9 15
 
8.2%
5 11
 
6.0%
8 5
 
2.7%
7 3
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
W 1
16.7%
E 1
16.7%
I 1
16.7%
V 1
16.7%
K 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 707
65.5%
Common 365
33.8%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 50
 
7.1%
동 50
 
7.1%
특 50
 
7.1%
별 50
 
7.1%
시 50
 
7.1%
성 50
 
7.1%
북 50
 
7.1%
구 50
 
7.1%
울 50
 
7.1%
지 44
 
6.2%
Other values (36) 213
30.1%
Common
ValueCountFrequency (%)
180
49.3%
1 40
 
11.0%
6 28
 
7.7%
0 24
 
6.6%
3 21
 
5.8%
2 21
 
5.8%
4 15
 
4.1%
9 15
 
4.1%
5 11
 
3.0%
8 5
 
1.4%
Other values (2) 5
 
1.4%
Latin
ValueCountFrequency (%)
W 1
14.3%
E 1
14.3%
I 1
14.3%
V 1
14.3%
K 1
14.3%
S 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 707
65.5%
ASCII 372
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
48.4%
1 40
 
10.8%
6 28
 
7.5%
0 24
 
6.5%
3 21
 
5.6%
2 21
 
5.6%
4 15
 
4.0%
9 15
 
4.0%
5 11
 
3.0%
8 5
 
1.3%
Other values (9) 12
 
3.2%
Hangul
ValueCountFrequency (%)
서 50
 
7.1%
동 50
 
7.1%
특 50
 
7.1%
별 50
 
7.1%
시 50
 
7.1%
성 50
 
7.1%
북 50
 
7.1%
구 50
 
7.1%
울 50
 
7.1%
지 44
 
6.2%
Other values (36) 213
30.1%

시설구분명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
74 
공공용시설
38 
공공시설
12 

Length

Max length5
Median length4
Mean length4.3064516
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 74
59.7%
공공용시설 38
30.6%
공공시설 12
 
9.7%

Length

2024-05-11T06:11:57.052097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:57.354000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
59.7%
공공용시설 38
30.6%
공공시설 12
 
9.7%

시설명_건물명
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing74
Missing (%)59.7%
Memory size1.1 KiB
2024-05-11T06:11:57.806904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length23.92
Min length11

Characters and Unicode

Total characters1196
Distinct characters134
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

Unique50 ?
Unique (%)100.0%

Sample

1st row정릉 힐스테이트 1차 지하주차장 1층~4층
2nd row정릉 e편한세상 2차 지하주차장 1층~2층
3rd row안암역 지하 1~3층
4th row종암에스케이아파트(107동 제외)지하2층
5th row종암2차SKVIEW(전동)지하주차장1층~2층
ValueCountFrequency (%)
지하주차장 16
 
11.3%
한신한진아파트 12
 
8.5%
지하1층 8
 
5.6%
7
 
4.9%
지하3층 4
 
2.8%
앞 4
 
2.8%
1층 3
 
2.1%
지하 2
 
1.4%
제외)지하2층 2
 
1.4%
고려대학교 2
 
1.4%
Other values (80) 82
57.7%
2024-05-11T06:11:58.989087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
7.7%
1 86
 
7.2%
하 79
 
6.6%
지 75
 
6.3%
층 50
 
4.2%
( 47
 
3.9%
차 45
 
3.8%
) 44
 
3.7%
주 42
 
3.5%
장 42
 
3.5%
Other values (124) 594
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
62.5%
Decimal Number 201
 
16.8%
Space Separator 92
 
7.7%
Open Punctuation 47
 
3.9%
Close Punctuation 44
 
3.7%
Math Symbol 30
 
2.5%
Uppercase Letter 17
 
1.4%
Other Punctuation 16
 
1.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 79
 
10.6%
지 75
 
10.0%
층 50
 
6.7%
차 45
 
6.0%
주 42
 
5.6%
장 42
 
5.6%
트 38
 
5.1%
동 36
 
4.8%
아 31
 
4.1%
파 30
 
4.0%
Other values (98) 280
37.4%
Decimal Number
ValueCountFrequency (%)
1 86
42.8%
0 35
17.4%
2 27
 
13.4%
3 16
 
8.0%
4 16
 
8.0%
6 7
 
3.5%
5 6
 
3.0%
7 4
 
2.0%
9 3
 
1.5%
8 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
11.8%
K 2
11.8%
E 2
11.8%
I 2
11.8%
V 2
11.8%
W 2
11.8%
S 2
11.8%
A 1
5.9%
P 1
5.9%
T 1
5.9%
Space Separator
ValueCountFrequency (%)
92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
62.5%
Common 430
36.0%
Latin 18
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 79
 
10.6%
지 75
 
10.0%
층 50
 
6.7%
차 45
 
6.0%
주 42
 
5.6%
장 42
 
5.6%
트 38
 
5.1%
동 36
 
4.8%
아 31
 
4.1%
파 30
 
4.0%
Other values (98) 280
37.4%
Common
ValueCountFrequency (%)
92
21.4%
1 86
20.0%
( 47
10.9%
) 44
10.2%
0 35
 
8.1%
~ 30
 
7.0%
2 27
 
6.3%
3 16
 
3.7%
, 16
 
3.7%
4 16
 
3.7%
Other values (5) 21
 
4.9%
Latin
ValueCountFrequency (%)
B 2
11.1%
K 2
11.1%
E 2
11.1%
I 2
11.1%
V 2
11.1%
W 2
11.1%
S 2
11.1%
A 1
5.6%
P 1
5.6%
T 1
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
62.5%
ASCII 448
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
20.5%
1 86
19.2%
( 47
10.5%
) 44
9.8%
0 35
 
7.8%
~ 30
 
6.7%
2 27
 
6.0%
3 16
 
3.6%
, 16
 
3.6%
4 16
 
3.6%
Other values (16) 39
8.7%
Hangul
ValueCountFrequency (%)
하 79
 
10.6%
지 75
 
10.0%
층 50
 
6.7%
차 45
 
6.0%
주 42
 
5.6%
장 42
 
5.6%
트 38
 
5.1%
동 36
 
4.8%
아 31
 
4.1%
파 30
 
4.0%
Other values (98) 280
37.4%

해제일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
20171114
 
10
20171013
 
2

Length

Max length8
Median length4
Mean length4.3870968
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
90.3%
20171114 10
 
8.1%
20171013 2
 
1.6%

Length

2024-05-11T06:11:59.524737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:11:59.960884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
90.3%
20171114 10
 
8.1%
20171013 2
 
1.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030700003070000-S2022000012022-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>38599.0<NA>서울특별시 성북구 장위동 189-3서울특별시 성북구 돌곶이로40길 46(장위동)02762꿈의숲 아이파크 지하주차장(지하2층)2024-01-23 15:37:46U2023-11-30 22:05:00.0<NA>204225.83282457424.675485<NA><NA><NA><NA>
130700003070000-S2018000032018-07-022023-11-054취소/말소/만료/정지/중지19사용중지2023-11-05<NA><NA><NA><NA>1849.0<NA>서울특별시 성북구 정릉동 289번지 94호 북한산보국문역서울특별시 성북구 보국문로 지하 88, 북한산보국문역 (정릉동)02711우이신설경전철 북한산보국문역(지하1층~지하2층)2023-11-05 18:01:50U2022-11-01 00:07:00.0<NA>200665.330157456639.860503<NA><NA><NA><NA>
230700003070000-S2018000042018-07-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1325.0<NA>서울특별시 성북구 돈암동 173번지 1호서울특별시 성북구 보문로34다길 2 (돈암동, 성신여자대학교)02844성신여자대학교교직원주차장(수정관) 지하 2층2024-01-23 17:48:14U2023-11-30 22:05:00.0<NA>201875.18614454403.293978<NA><NA><NA><NA>
330700003070000-S2012000072012-07-25<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>18093.0<NA>서울특별시 성북구 정릉동 210번지서울특별시 성북구 서경로 31 (정릉동, 푸른마을 동아아파트)02716푸른마을동아아파트(101~107동)지하1~3층주차장2024-01-23 10:42:43U2023-11-30 22:05:00.0<NA>201191.096817456129.637651<NA><NA><NA><NA>
430700003070000-S2012000042012-07-25<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4783.02<NA>서울특별시 성북구 정릉동 494번지서울특별시 성북구 아리랑로19길 60 (정릉동, 중앙하이츠빌1단지아파트)02813정릉중앙하이츠빌1단지(101~105동) 지하주차장3층2024-01-23 10:46:38U2023-11-30 22:05:00.0<NA>200765.952479455606.716801<NA><NA><NA><NA>
530700003070000-S2011000112011-06-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7825.0<NA>서울특별시 성북구 동선동1가 1번지 2호서울특별시 성북구 동소문로 106 (동선동1가)02845유타쇼핑몰 지하주차장1~6층2024-01-23 17:47:27U2023-11-30 22:05:00.0<NA>201447.418693454477.103343<NA><NA><NA><NA>
630700003070000-S2011000052011-01-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>32000.0<NA>서울특별시 성북구 길음동 1284번지서울특별시 성북구 길음로 33 (길음동)02720길음뉴타운래미안8단지아파트 4차지하주차장(지하1~3층)2024-01-23 20:09:15U2023-11-30 22:05:00.0<NA>201514.970977456137.102063<NA><NA><NA><NA>
730700003070000-S2011000042011-01-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>47601.0<NA>서울특별시 성북구 길음동 1280번지서울특별시 성북구 길음로 119 (길음동)02714길음뉴타운푸르지오2,3단지아파트지하주차장(지하1~6층)2024-01-23 20:08:51U2023-11-30 22:05:00.0<NA>201356.03538456606.133622<NA><NA><NA><NA>
830700003070000-S2010000182011-01-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>16367.0<NA>서울특별시 성북구 길음동 1279번지서울특별시 성북구 길음로9길 40 (길음동)02721길음래미안1차아파트 지하주차장(지하1~3층)2024-01-23 20:05:13U2023-11-30 22:05:00.0<NA>201718.570947455945.998146<NA><NA><NA><NA>
930700003070000-S2010000092010-09-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4371.0<NA>서울특별시 성북구 장위동 312번지서울특별시 성북구 화랑로 235 (장위동)02772장위우방아파트(1개동구성)지하주차장(지하1~2층)2024-01-26 08:54:27U2023-11-30 22:08:00.0<NA>204789.323557456434.344884<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
11430700003070000-S2018000062018-07-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11515.0<NA>서울특별시 성북구 정릉동 239번지서울특별시 성북구 솔샘로25길 28 (정릉동, 정릉풍림아이원아파트)02702정릉풍림아이원아파트(지하주차장)(지하1~2층)2024-01-26 09:50:33U2023-11-30 22:08:00.0<NA>200575.420521457360.617372<NA><NA><NA><NA>
11530700003070000-S2018000022018-07-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>23729.0<NA>서울특별시 성북구 정릉동 1028번지서울특별시 성북구 솔샘로24길 15 (정릉동, 정릉이-편한세상)02712정릉e편한세상1차아파트 지하주차장(지하1~3층)2024-01-26 09:50:03U2023-11-30 22:08:00.0<NA>200831.447006456984.251358<NA><NA><NA><NA>
11630700003070000-S2010000122010-09-17<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>26865.0<NA>서울특별시 성북구 정릉동 1021번지서울특별시 성북구 보국문로30길 15 (정릉동)02701정릉대우아파트 지하주차장(지하1층~지하3층)2024-01-26 09:49:07U2023-11-30 22:08:00.0<NA>200232.805838457297.865876<NA><NA><NA><NA>
11730700003070000-S2012000102012-09-24<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9604.5<NA>서울특별시 성북구 정릉동 1034번지서울특별시 성북구 정릉로 307 (정릉동, 라온유 아파트)02719길음뉴타운10단지라온유아파트 지하주차장 2층~4층2024-01-25 16:10:35U2023-11-30 22:07:00.0<NA>201548.495616455659.817852<NA><NA><NA><NA>
11830700003070000-S2009000032009-12-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>29701.11<NA>서울특별시 성북구 석관동 407번지서울특별시 성북구 화랑로 214 (석관동)02790석관동 래미안아파트(101,110동) 지하주차장1~2층2023-10-30 16:58:40U2022-11-01 00:01:00.0<NA>204744.35214456227.606088<NA><NA><NA><NA>
11930700003070000-S2010000112010-09-17<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>22237.0<NA>서울특별시 성북구 정릉동 1031번지서울특별시 성북구 보국문로 116 (정릉동)02702정릉힐스테이트3차 아파트 지하주차장(지하1층-지하2층)2024-01-26 09:46:03U2023-11-30 22:08:00.0<NA>200607.770295456902.450765<NA><NA><NA><NA>
12030700003070000-S2004000082004-06-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2975.0<NA>서울특별시 성북구 장위동 135-2 성북청소년수련관서울특별시 성북구 한천로 660-9, 성북청소년수련관 (장위동)02764시립성북청소년센터(지하 1층~2층)2024-01-22 12:49:09U2023-11-30 22:04:00.0<NA>204859.915501457245.518053<NA><NA><NA><NA>
12130700003070000-S2001000052001-07-16<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11361.0<NA>서울특별시 성북구 동소문동4가 279번지서울특별시 성북구 동소문로3길 101 (동소문동4가)02832동소문송산아파트 101동 지하주차장(지하1~3층)2024-01-22 12:52:51U2023-11-30 22:04:00.0<NA>200854.98444454453.10088<NA><NA><NA><NA>
12230700003070000-S1986000021986-12-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>120.64<NA>서울특별시 성북구 정릉동 653번지 40호서울특별시 성북구 정릉로 157 (정릉동, 백산빌딩)02708정릉길지하보도(지하1층)2024-01-22 14:18:22U2023-11-30 22:04:00.0<NA>200166.782414456170.287297<NA><NA><NA><NA>
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