Overview

Dataset statistics

Number of variables29
Number of observations75
Missing cells706
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory246.8 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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20051/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (75.8%)Imbalance
시설구분명 is highly imbalanced (68.3%)Imbalance
해제일자 is highly imbalanced (89.8%)Imbalance
인허가취소일자 has 59 (78.7%) missing valuesMissing
폐업일자 has 59 (78.7%) missing valuesMissing
휴업시작일자 has 75 (100.0%) missing valuesMissing
휴업종료일자 has 75 (100.0%) missing valuesMissing
재개업일자 has 75 (100.0%) missing valuesMissing
전화번호 has 75 (100.0%) missing valuesMissing
소재지우편번호 has 75 (100.0%) missing valuesMissing
업태구분명 has 75 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.3%) missing valuesMissing
좌표정보(Y) has 1 (1.3%) missing valuesMissing
비상시설위치 has 68 (90.7%) missing valuesMissing
시설명_건물명 has 68 (90.7%) missing valuesMissing
관리번호 has unique valuesUnique
소재지면적 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:40:11.070666
Analysis finished2024-05-11 05:40:11.797267
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
3240000
75 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 75
100.0%

Length

2024-05-11T14:40:11.914833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:12.112178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 75
100.0%

관리번호
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T14:40:12.503074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1350
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

Unique75 ?
Unique (%)100.0%

Sample

1st row3240000-S201300002
2nd row3240000-S199500019
3rd row3240000-S202300001
4th row3240000-S199500001
5th row3240000-S198300005
ValueCountFrequency (%)
3240000-s201300002 1
 
1.3%
3240000-s201500003 1
 
1.3%
3240000-s201700001 1
 
1.3%
3240000-s202300008 1
 
1.3%
3240000-s201000017 1
 
1.3%
3240000-s198900011 1
 
1.3%
3240000-s198900008 1
 
1.3%
3240000-s198800004 1
 
1.3%
3240000-s199300003 1
 
1.3%
3240000-s198400005 1
 
1.3%
Other values (65) 65
86.7%
2024-05-11T14:40:13.129044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 634
47.0%
2 134
 
9.9%
3 104
 
7.7%
1 87
 
6.4%
4 83
 
6.1%
9 83
 
6.1%
- 75
 
5.6%
S 75
 
5.6%
8 26
 
1.9%
5 25
 
1.9%
Other values (2) 24
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1200
88.9%
Dash Punctuation 75
 
5.6%
Uppercase Letter 75
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 634
52.8%
2 134
 
11.2%
3 104
 
8.7%
1 87
 
7.2%
4 83
 
6.9%
9 83
 
6.9%
8 26
 
2.2%
5 25
 
2.1%
7 13
 
1.1%
6 11
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1275
94.4%
Latin 75
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 634
49.7%
2 134
 
10.5%
3 104
 
8.2%
1 87
 
6.8%
4 83
 
6.5%
9 83
 
6.5%
- 75
 
5.9%
8 26
 
2.0%
5 25
 
2.0%
7 13
 
1.0%
Latin
ValueCountFrequency (%)
S 75
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 634
47.0%
2 134
 
9.9%
3 104
 
7.7%
1 87
 
6.4%
4 83
 
6.1%
9 83
 
6.1%
- 75
 
5.6%
S 75
 
5.6%
8 26
 
1.9%
5 25
 
1.9%
Other values (2) 24
 
1.8%

인허가일자
Categorical

Distinct37
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
1995-01-01
10 
1993-01-01
8 
2010-12-07
5 
2007-06-20
5 
1989-01-01
 
3
Other values (32)
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique22 ?
Unique (%)29.3%

Sample

1st row2013-06-26
2nd row1995-01-01
3rd row2023-02-01
4th row1995-01-01
5th row1983-01-01

Common Values

ValueCountFrequency (%)
1995-01-01 10
 
13.3%
1993-01-01 8
 
10.7%
2010-12-07 5
 
6.7%
2007-06-20 5
 
6.7%
1989-01-01 3
 
4.0%
1990-01-01 3
 
4.0%
2010-11-19 3
 
4.0%
2019-04-10 2
 
2.7%
2023-06-27 2
 
2.7%
1984-01-01 2
 
2.7%
Other values (27) 32
42.7%

Length

2024-05-11T14:40:13.337552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1995-01-01 10
 
13.3%
1993-01-01 8
 
10.7%
2010-12-07 5
 
6.7%
2007-06-20 5
 
6.7%
1989-01-01 3
 
4.0%
1990-01-01 3
 
4.0%
2010-11-19 3
 
4.0%
2023-09-11 2
 
2.7%
2013-06-26 2
 
2.7%
1996-01-01 2
 
2.7%
Other values (27) 32
42.7%

인허가취소일자
Date

MISSING 

Distinct8
Distinct (%)50.0%
Missing59
Missing (%)78.7%
Memory size732.0 B
Minimum2018-11-26 00:00:00
Maximum2024-01-30 00:00:00
2024-05-11T14:40:13.501241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:13.703819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

영업상태코드
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
1
59 
4
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 59
78.7%
4 16
 
21.3%

Length

2024-05-11T14:40:13.934432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:14.097307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
78.7%
4 16
 
21.3%

영업상태명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
영업/정상
59 
취소/말소/만료/정지/중지
16 

Length

Max length14
Median length5
Mean length6.92
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 59
78.7%
취소/말소/만료/정지/중지 16
 
21.3%

Length

2024-05-11T14:40:14.262623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:14.450046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 59
78.7%
취소/말소/만료/정지/중지 16
 
21.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
18
59 
19
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
18 59
78.7%
19 16
 
21.3%

Length

2024-05-11T14:40:14.649576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:14.839152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 59
78.7%
19 16
 
21.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
사용중
59 
사용중지
16 

Length

Max length4
Median length3
Mean length3.2133333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 59
78.7%
사용중지 16
 
21.3%

Length

2024-05-11T14:40:15.038610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:15.204482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 59
78.7%
사용중지 16
 
21.3%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)50.0%
Missing59
Missing (%)78.7%
Memory size732.0 B
Minimum2018-11-26 00:00:00
Maximum2024-01-30 00:00:00
2024-05-11T14:40:15.359558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:15.548728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

소재지면적
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15538.408
Minimum381
Maximum261492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T14:40:15.798411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381
5-th percentile594.8
Q11553.5
median5992
Q312428.5
95-th percentile64182.461
Maximum261492
Range261111
Interquartile range (IQR)10875

Descriptive statistics

Standard deviation34067.656
Coefficient of variation (CV)2.1924804
Kurtosis37.329229
Mean15538.408
Median Absolute Deviation (MAD)4707
Skewness5.5228736
Sum1165380.6
Variance1.1606052 × 109
MonotonicityNot monotonic
2024-05-11T14:40:16.045196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17913.98 1
 
1.3%
660.0 1
 
1.3%
11780.0 1
 
1.3%
261492.0 1
 
1.3%
25321.0 1
 
1.3%
6998.0 1
 
1.3%
2620.0 1
 
1.3%
461.0 1
 
1.3%
1323.0 1
 
1.3%
614.0 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
381.0 1
1.3%
383.0 1
1.3%
461.0 1
1.3%
550.0 1
1.3%
614.0 1
1.3%
644.0 1
1.3%
660.0 1
1.3%
677.0 1
1.3%
736.0 1
1.3%
760.0 1
1.3%
ValueCountFrequency (%)
261492.0 1
1.3%
85439.57 1
1.3%
77077.0 1
1.3%
76965.0 1
1.3%
58704.23 1
1.3%
42893.0 1
1.3%
41271.63 1
1.3%
39795.53 1
1.3%
34241.0 1
1.3%
31558.18 1
1.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

지번주소
Text

Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T14:40:16.510847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length21.8
Min length18

Characters and Unicode

Total characters1635
Distinct characters75
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

Unique71 ?
Unique (%)94.7%

Sample

1st row서울특별시 강동구 상일동 149 강동경희대학교병원 본관 지하1층
2nd row서울특별시 강동구 상일동 148번지
3rd row서울특별시 강동구 성내동 601 하나플러스ll
4th row서울특별시 강동구 고덕동 310번지
5th row서울특별시 강동구 둔촌동 522번지 9호 한국전력 강동송파지사
ValueCountFrequency (%)
서울특별시 75
21.4%
강동구 75
21.4%
성내동 19
 
5.4%
명일동 14
 
4.0%
천호동 14
 
4.0%
1호 10
 
2.8%
둔촌동 9
 
2.6%
상일동 7
 
2.0%
3호 5
 
1.4%
암사동 5
 
1.4%
Other values (100) 118
33.6%
2024-05-11T14:40:17.290081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
16.9%
동 159
 
9.7%
강 87
 
5.3%
구 76
 
4.6%
서 75
 
4.6%
울 75
 
4.6%
시 75
 
4.6%
특 75
 
4.6%
별 75
 
4.6%
지 72
 
4.4%
Other values (65) 590
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1082
66.2%
Space Separator 276
 
16.9%
Decimal Number 274
 
16.8%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 159
14.7%
강 87
 
8.0%
구 76
 
7.0%
서 75
 
6.9%
울 75
 
6.9%
시 75
 
6.9%
특 75
 
6.9%
별 75
 
6.9%
지 72
 
6.7%
번 64
 
5.9%
Other values (52) 249
23.0%
Decimal Number
ValueCountFrequency (%)
1 51
18.6%
4 46
16.8%
3 39
14.2%
5 36
13.1%
2 25
9.1%
9 18
 
6.6%
8 16
 
5.8%
0 16
 
5.8%
6 15
 
5.5%
7 12
 
4.4%
Space Separator
ValueCountFrequency (%)
276
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1082
66.2%
Common 551
33.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 159
14.7%
강 87
 
8.0%
구 76
 
7.0%
서 75
 
6.9%
울 75
 
6.9%
시 75
 
6.9%
특 75
 
6.9%
별 75
 
6.9%
지 72
 
6.7%
번 64
 
5.9%
Other values (52) 249
23.0%
Common
ValueCountFrequency (%)
276
50.1%
1 51
 
9.3%
4 46
 
8.3%
3 39
 
7.1%
5 36
 
6.5%
2 25
 
4.5%
9 18
 
3.3%
8 16
 
2.9%
0 16
 
2.9%
6 15
 
2.7%
Other values (2) 13
 
2.4%
Latin
ValueCountFrequency (%)
l 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1082
66.2%
ASCII 553
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
49.9%
1 51
 
9.2%
4 46
 
8.3%
3 39
 
7.1%
5 36
 
6.5%
2 25
 
4.5%
9 18
 
3.3%
8 16
 
2.9%
0 16
 
2.9%
6 15
 
2.7%
Other values (3) 15
 
2.7%
Hangul
ValueCountFrequency (%)
동 159
14.7%
강 87
 
8.0%
구 76
 
7.0%
서 75
 
6.9%
울 75
 
6.9%
시 75
 
6.9%
특 75
 
6.9%
별 75
 
6.9%
지 72
 
6.7%
번 64
 
5.9%
Other values (52) 249
23.0%

도로명주소
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T14:40:17.858410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length29.253333
Min length22

Characters and Unicode

Total characters2194
Distinct characters143
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

Unique73 ?
Unique (%)97.3%

Sample

1st row서울특별시 강동구 동남로 892, 강동경희대학교병원 본관동 지하 1층 (상일동)
2nd row서울특별시 강동구 고덕로 지하 359 (상일동)
3rd row서울특별시 강동구 양재대로85길 60, 지하1층 (성내동, 하나플러스ll)
4th row서울특별시 강동구 고덕로 지하 253 (고덕동)
5th row서울특별시 강동구 양재대로 1318, 한국전력 강동송파지사 (둔촌동)
ValueCountFrequency (%)
서울특별시 75
 
17.5%
강동구 75
 
17.5%
성내동 19
 
4.4%
천호동 15
 
3.5%
명일동 14
 
3.3%
양재대로 9
 
2.1%
둔촌동 9
 
2.1%
지하 9
 
2.1%
천호대로 8
 
1.9%
상일동 7
 
1.6%
Other values (145) 188
43.9%
2024-05-11T14:40:18.689396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
353
 
16.1%
동 173
 
7.9%
강 94
 
4.3%
구 83
 
3.8%
서 78
 
3.6%
( 76
 
3.5%
울 76
 
3.5%
) 76
 
3.5%
시 76
 
3.5%
별 75
 
3.4%
Other values (133) 1034
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1378
62.8%
Space Separator 353
 
16.1%
Decimal Number 273
 
12.4%
Open Punctuation 76
 
3.5%
Close Punctuation 76
 
3.5%
Other Punctuation 35
 
1.6%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 173
 
12.6%
강 94
 
6.8%
구 83
 
6.0%
서 78
 
5.7%
울 76
 
5.5%
시 76
 
5.5%
별 75
 
5.4%
특 75
 
5.4%
로 73
 
5.3%
성 36
 
2.6%
Other values (117) 539
39.1%
Decimal Number
ValueCountFrequency (%)
1 65
23.8%
5 31
11.4%
3 26
 
9.5%
2 26
 
9.5%
6 25
 
9.2%
0 22
 
8.1%
9 22
 
8.1%
4 20
 
7.3%
8 19
 
7.0%
7 17
 
6.2%
Space Separator
ValueCountFrequency (%)
353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1378
62.8%
Common 814
37.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 173
 
12.6%
강 94
 
6.8%
구 83
 
6.0%
서 78
 
5.7%
울 76
 
5.5%
시 76
 
5.5%
별 75
 
5.4%
특 75
 
5.4%
로 73
 
5.3%
성 36
 
2.6%
Other values (117) 539
39.1%
Common
ValueCountFrequency (%)
353
43.4%
( 76
 
9.3%
) 76
 
9.3%
1 65
 
8.0%
, 35
 
4.3%
5 31
 
3.8%
3 26
 
3.2%
2 26
 
3.2%
6 25
 
3.1%
0 22
 
2.7%
Other values (5) 79
 
9.7%
Latin
ValueCountFrequency (%)
l 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1378
62.8%
ASCII 816
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
353
43.3%
( 76
 
9.3%
) 76
 
9.3%
1 65
 
8.0%
, 35
 
4.3%
5 31
 
3.8%
3 26
 
3.2%
2 26
 
3.2%
6 25
 
3.1%
0 22
 
2.7%
Other values (6) 81
 
9.9%
Hangul
ValueCountFrequency (%)
동 173
 
12.6%
강 94
 
6.8%
구 83
 
6.0%
서 78
 
5.7%
울 76
 
5.5%
시 76
 
5.5%
별 75
 
5.4%
특 75
 
5.4%
로 73
 
5.3%
성 36
 
2.6%
Other values (117) 539
39.1%

도로명우편번호
Text

Distinct56
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T14:40:19.056649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1066667
Min length4

Characters and Unicode

Total characters383
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 (%)53.3%

Sample

1st row05278
2nd row134-835
3rd row05406
4th row134-878
5th row5411
ValueCountFrequency (%)
05397 4
 
5.3%
05416 3
 
4.0%
05295 2
 
2.7%
05266 2
 
2.7%
05310 2
 
2.7%
05257 2
 
2.7%
05314 2
 
2.7%
05296 2
 
2.7%
05337 2
 
2.7%
5411 2
 
2.7%
Other values (46) 52
69.3%
2024-05-11T14:40:19.688964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 80
20.9%
0 79
20.6%
3 49
12.8%
2 40
10.4%
4 31
 
8.1%
1 24
 
6.3%
9 22
 
5.7%
7 20
 
5.2%
8 18
 
4.7%
6 14
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 377
98.4%
Dash Punctuation 6
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 80
21.2%
0 79
21.0%
3 49
13.0%
2 40
10.6%
4 31
 
8.2%
1 24
 
6.4%
9 22
 
5.8%
7 20
 
5.3%
8 18
 
4.8%
6 14
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 383
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 80
20.9%
0 79
20.6%
3 49
12.8%
2 40
10.4%
4 31
 
8.1%
1 24
 
6.3%
9 22
 
5.7%
7 20
 
5.2%
8 18
 
4.7%
6 14
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 80
20.9%
0 79
20.6%
3 49
12.8%
2 40
10.4%
4 31
 
8.1%
1 24
 
6.3%
9 22
 
5.7%
7 20
 
5.2%
8 18
 
4.7%
6 14
 
3.7%

사업장명
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-05-11T14:40:20.216311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length17.266667
Min length6

Characters and Unicode

Total characters1295
Distinct characters166
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

Unique73 ?
Unique (%)97.3%

Sample

1st row강동경희대학교 병원 본관동 지하1층
2nd row상일동역 지하1층 역사
3rd row하나플러스2차아파트 지하주차장 1층
4th row고덕전철역 지하1층역사
5th row한전강동지점
ValueCountFrequency (%)
지하1층 23
 
11.9%
주차장 15
 
7.8%
지하주차장 15
 
7.8%
1층 6
 
3.1%
강동리엔파크 4
 
2.1%
역사 4
 
2.1%
지하1층~지하2층 4
 
2.1%
1~2층 4
 
2.1%
공영주차장(지하1~3층 2
 
1.0%
지하1층주차장 2
 
1.0%
Other values (109) 114
59.1%
2024-05-11T14:40:20.987424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
9.2%
지 108
 
8.3%
하 98
 
7.6%
층 87
 
6.7%
1 75
 
5.8%
주 47
 
3.6%
차 47
 
3.6%
장 43
 
3.3%
동 36
 
2.8%
( 35
 
2.7%
Other values (156) 600
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 941
72.7%
Decimal Number 130
 
10.0%
Space Separator 119
 
9.2%
Open Punctuation 35
 
2.7%
Close Punctuation 33
 
2.5%
Math Symbol 29
 
2.2%
Other Punctuation 5
 
0.4%
Lowercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 108
 
11.5%
하 98
 
10.4%
층 87
 
9.2%
주 47
 
5.0%
차 47
 
5.0%
장 43
 
4.6%
동 36
 
3.8%
파 28
 
3.0%
아 24
 
2.6%
트 24
 
2.6%
Other values (140) 399
42.4%
Decimal Number
ValueCountFrequency (%)
1 75
57.7%
3 24
 
18.5%
2 20
 
15.4%
4 5
 
3.8%
8 2
 
1.5%
5 2
 
1.5%
9 1
 
0.8%
6 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%
Lowercase Letter
ValueCountFrequency (%)
p 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 941
72.7%
Common 352
 
27.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 108
 
11.5%
하 98
 
10.4%
층 87
 
9.2%
주 47
 
5.0%
차 47
 
5.0%
장 43
 
4.6%
동 36
 
3.8%
파 28
 
3.0%
아 24
 
2.6%
트 24
 
2.6%
Other values (140) 399
42.4%
Common
ValueCountFrequency (%)
119
33.8%
1 75
21.3%
( 35
 
9.9%
) 33
 
9.4%
~ 29
 
8.2%
3 24
 
6.8%
2 20
 
5.7%
4 5
 
1.4%
, 4
 
1.1%
8 2
 
0.6%
Other values (5) 6
 
1.7%
Latin
ValueCountFrequency (%)
p 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 941
72.7%
ASCII 354
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
33.6%
1 75
21.2%
( 35
 
9.9%
) 33
 
9.3%
~ 29
 
8.2%
3 24
 
6.8%
2 20
 
5.6%
4 5
 
1.4%
, 4
 
1.1%
p 2
 
0.6%
Other values (6) 8
 
2.3%
Hangul
ValueCountFrequency (%)
지 108
 
11.5%
하 98
 
10.4%
층 87
 
9.2%
주 47
 
5.0%
차 47
 
5.0%
장 43
 
4.6%
동 36
 
3.8%
파 28
 
3.0%
아 24
 
2.6%
트 24
 
2.6%
Other values (140) 399
42.4%

최종수정일자
Date

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2018-11-28 17:31:13
Maximum2024-02-01 17:02:23
2024-05-11T14:40:21.240148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:40:21.537358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
U
72 
I
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 72
96.0%
I 3
 
4.0%

Length

2024-05-11T14:40:21.797709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:21.983630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 72
96.0%
i 3
 
4.0%

데이터갱신일자
Categorical

Distinct28
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-11-30 22:02:00.0
10 
2023-11-30 22:03:00.0
9 
2023-12-01 00:07:00.0
9 
2022-11-01 00:08:00.0
6 
2022-10-31 23:05:00.0
5 
Other values (23)
36 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)18.7%

Sample

1st row2022-12-06 22:00:00.0
2nd row2022-12-06 22:00:00.0
3rd row2022-11-01 00:04:00.0
4th row2022-12-06 22:02:00.0
5th row2018-11-30 02:20:02.0

Common Values

ValueCountFrequency (%)
2023-11-30 22:02:00.0 10
13.3%
2023-11-30 22:03:00.0 9
12.0%
2023-12-01 00:07:00.0 9
12.0%
2022-11-01 00:08:00.0 6
 
8.0%
2022-10-31 23:05:00.0 5
 
6.7%
2023-12-02 00:03:00.0 4
 
5.3%
2023-12-02 00:01:00.0 3
 
4.0%
2023-06-21 02:40:00.0 3
 
4.0%
2022-12-07 23:00:00.0 2
 
2.7%
2022-10-31 23:06:00.0 2
 
2.7%
Other values (18) 22
29.3%

Length

2024-05-11T14:40:22.169956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-11-30 22
14.7%
22:02:00.0 11
 
7.3%
22:03:00.0 10
 
6.7%
00:07:00.0 10
 
6.7%
2022-11-01 10
 
6.7%
2023-12-01 9
 
6.0%
2022-10-31 8
 
5.3%
2023-12-02 7
 
4.7%
02:40:00.0 6
 
4.0%
00:08:00.0 6
 
4.0%
Other values (22) 51
34.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)97.3%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean212430.82
Minimum210566.88
Maximum215966.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T14:40:22.392514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210566.88
5-th percentile210858.4
Q1211445.27
median212218.58
Q3212913.15
95-th percentile215636.84
Maximum215966.73
Range5399.8534
Interquartile range (IQR)1467.8881

Descriptive statistics

Standard deviation1381.8034
Coefficient of variation (CV)0.0065047217
Kurtosis0.97128858
Mean212430.82
Median Absolute Deviation (MAD)727.95685
Skewness1.214854
Sum15719881
Variance1909380.5
MonotonicityNot monotonic
2024-05-11T14:40:22.689510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211132.774378396 2
 
2.7%
215966.729045494 2
 
2.7%
213839.356195548 1
 
1.3%
213646.900696177 1
 
1.3%
213378.433989403 1
 
1.3%
212926.089912845 1
 
1.3%
212874.343826788 1
 
1.3%
210566.875626134 1
 
1.3%
210773.140475624 1
 
1.3%
212354.315401798 1
 
1.3%
Other values (62) 62
82.7%
ValueCountFrequency (%)
210566.875626134 1
1.3%
210773.140475624 1
1.3%
210796.444013683 1
1.3%
210849.867541932 1
1.3%
210863.000370542 1
1.3%
210987.808774188 1
1.3%
210992.497270009 1
1.3%
211047.878697259 1
1.3%
211066.384353658 1
1.3%
211070.497704325 1
1.3%
ValueCountFrequency (%)
215966.729045494 2
2.7%
215927.688523964 1
1.3%
215898.113091143 1
1.3%
215496.149626989 1
1.3%
215423.76462869 1
1.3%
215422.746119624 1
1.3%
215144.766442481 1
1.3%
213839.356195548 1
1.3%
213800.651513474 1
1.3%
213646.900696177 1
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)97.3%
Missing1
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean448820.12
Minimum446263.36
Maximum452305.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-05-11T14:40:22.946291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446263.36
5-th percentile446985.24
Q1447550.38
median448841.92
Q3449964.84
95-th percentile450576.19
Maximum452305.72
Range6042.3659
Interquartile range (IQR)2414.4645

Descriptive statistics

Standard deviation1314.7062
Coefficient of variation (CV)0.0029292496
Kurtosis-0.53829351
Mean448820.12
Median Absolute Deviation (MAD)1161.502
Skewness0.25471795
Sum33212689
Variance1728452.3
MonotonicityNot monotonic
2024-05-11T14:40:23.265735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447389.652322647 2
 
2.7%
449975.374323969 2
 
2.7%
450118.261707983 1
 
1.3%
450750.547533484 1
 
1.3%
450482.305334964 1
 
1.3%
450751.524331915 1
 
1.3%
449478.959112867 1
 
1.3%
447402.629676369 1
 
1.3%
447784.955820729 1
 
1.3%
447467.106946889 1
 
1.3%
Other values (62) 62
82.7%
ValueCountFrequency (%)
446263.35780719 1
1.3%
446851.325224794 1
1.3%
446899.812821946 1
1.3%
446921.590368548 1
1.3%
447019.520087943 1
1.3%
447125.42728615 1
1.3%
447245.575629773 1
1.3%
447323.382525932 1
1.3%
447355.928476719 1
1.3%
447372.617182859 1
1.3%
ValueCountFrequency (%)
452305.723682264 1
1.3%
452152.024544351 1
1.3%
450751.524331915 1
1.3%
450750.547533484 1
1.3%
450482.305334964 1
1.3%
450383.581790949 1
1.3%
450278.377094837 1
1.3%
450203.741209731 1
1.3%
450185.205467792 1
1.3%
450172.909915831 1
1.3%

비상시설위치
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing68
Missing (%)90.7%
Memory size732.0 B
2024-05-11T14:40:23.551310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length22.142857
Min length19

Characters and Unicode

Total characters155
Distinct characters30
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

Unique7 ?
Unique (%)100.0%

Sample

1st row서울특별시 강동구 둔촌동 522번지 9호 한국전력 강동송파지사
2nd row서울특별시 강동구 둔촌동 135번지 1호
3rd row서울특별시 강동구 둔촌동 444번지
4th row서울특별시 강동구 둔촌동 545번지
5th row서울특별시 강동구 둔촌동 8번지 1호
ValueCountFrequency (%)
서울특별시 7
20.6%
강동구 7
20.6%
둔촌동 6
17.6%
1호 2
 
5.9%
522번지 1
 
2.9%
9호 1
 
2.9%
한국전력 1
 
2.9%
강동송파지사 1
 
2.9%
135번지 1
 
2.9%
444번지 1
 
2.9%
Other values (6) 6
17.6%
2024-05-11T14:40:24.064933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
17.4%
동 15
 
9.7%
강 8
 
5.2%
지 8
 
5.2%
서 7
 
4.5%
번 7
 
4.5%
특 7
 
4.5%
별 7
 
4.5%
시 7
 
4.5%
구 7
 
4.5%
Other values (20) 55
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
67.7%
Space Separator 27
 
17.4%
Decimal Number 23
 
14.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15
14.3%
강 8
 
7.6%
지 8
 
7.6%
서 7
 
6.7%
번 7
 
6.7%
특 7
 
6.7%
별 7
 
6.7%
시 7
 
6.7%
구 7
 
6.7%
울 7
 
6.7%
Other values (11) 25
23.8%
Decimal Number
ValueCountFrequency (%)
5 6
26.1%
4 5
21.7%
2 4
17.4%
1 3
13.0%
7 2
 
8.7%
8 1
 
4.3%
3 1
 
4.3%
9 1
 
4.3%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
67.7%
Common 50
32.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15
14.3%
강 8
 
7.6%
지 8
 
7.6%
서 7
 
6.7%
번 7
 
6.7%
특 7
 
6.7%
별 7
 
6.7%
시 7
 
6.7%
구 7
 
6.7%
울 7
 
6.7%
Other values (11) 25
23.8%
Common
ValueCountFrequency (%)
27
54.0%
5 6
 
12.0%
4 5
 
10.0%
2 4
 
8.0%
1 3
 
6.0%
7 2
 
4.0%
8 1
 
2.0%
3 1
 
2.0%
9 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
67.7%
ASCII 50
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
54.0%
5 6
 
12.0%
4 5
 
10.0%
2 4
 
8.0%
1 3
 
6.0%
7 2
 
4.0%
8 1
 
2.0%
3 1
 
2.0%
9 1
 
2.0%
Hangul
ValueCountFrequency (%)
동 15
14.3%
강 8
 
7.6%
지 8
 
7.6%
서 7
 
6.7%
번 7
 
6.7%
특 7
 
6.7%
별 7
 
6.7%
시 7
 
6.7%
구 7
 
6.7%
울 7
 
6.7%
Other values (11) 25
23.8%

시설구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
68 
공공용시설
 
6
공공시설
 
1

Length

Max length5
Median length4
Mean length4.08
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
90.7%
공공용시설 6
 
8.0%
공공시설 1
 
1.3%

Length

2024-05-11T14:40:24.358782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:24.532549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
90.7%
공공용시설 6
 
8.0%
공공시설 1
 
1.3%

시설명_건물명
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing68
Missing (%)90.7%
Memory size732.0 B
2024-05-11T14:40:24.764027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length15.142857
Min length6

Characters and Unicode

Total characters106
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row한전강동지점
2nd row현대3차아파트 지하주차장 지하1층
3rd row신성통상 지하주차장 지하1층
4th row하이츠아파트 지하주차장 지하1층
5th row중앙보훈병원역 지하1층 역사
ValueCountFrequency (%)
지하1층 5
23.8%
지하주차장 3
14.3%
역사 2
 
9.5%
한전강동지점 1
 
4.8%
현대3차아파트 1
 
4.8%
신성통상 1
 
4.8%
하이츠아파트 1
 
4.8%
중앙보훈병원역 1
 
4.8%
둔촌오륜역 1
 
4.8%
천호동 1
 
4.8%
Other values (4) 4
19.0%
2024-05-11T14:40:25.590685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
13.2%
하 10
 
9.4%
지 10
 
9.4%
1 7
 
6.6%
층 6
 
5.7%
역 5
 
4.7%
차 4
 
3.8%
장 3
 
2.8%
주 3
 
2.8%
트 2
 
1.9%
Other values (34) 42
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80
75.5%
Space Separator 14
 
13.2%
Decimal Number 10
 
9.4%
Math Symbol 2
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 10
 
12.5%
지 10
 
12.5%
층 6
 
7.5%
역 5
 
6.2%
차 4
 
5.0%
장 3
 
3.8%
주 3
 
3.8%
트 2
 
2.5%
호 2
 
2.5%
아 2
 
2.5%
Other values (29) 33
41.2%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
3 2
 
20.0%
8 1
 
10.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80
75.5%
Common 26
 
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 10
 
12.5%
지 10
 
12.5%
층 6
 
7.5%
역 5
 
6.2%
차 4
 
5.0%
장 3
 
3.8%
주 3
 
3.8%
트 2
 
2.5%
호 2
 
2.5%
아 2
 
2.5%
Other values (29) 33
41.2%
Common
ValueCountFrequency (%)
14
53.8%
1 7
26.9%
3 2
 
7.7%
~ 2
 
7.7%
8 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80
75.5%
ASCII 26
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
53.8%
1 7
26.9%
3 2
 
7.7%
~ 2
 
7.7%
8 1
 
3.8%
Hangul
ValueCountFrequency (%)
하 10
 
12.5%
지 10
 
12.5%
층 6
 
7.5%
역 5
 
6.2%
차 4
 
5.0%
장 3
 
3.8%
주 3
 
3.8%
트 2
 
2.5%
호 2
 
2.5%
아 2
 
2.5%
Other values (29) 33
41.2%

해제일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
<NA>
74 
20181126
 
1

Length

Max length8
Median length4
Mean length4.0533333
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20181126

Common Values

ValueCountFrequency (%)
<NA> 74
98.7%
20181126 1
 
1.3%

Length

2024-05-11T14:40:25.814436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:40:26.019661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
98.7%
20181126 1
 
1.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
032400003240000-S2013000022013-06-26<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>17913.98<NA>서울특별시 강동구 상일동 149 강동경희대학교병원 본관 지하1층서울특별시 강동구 동남로 892, 강동경희대학교병원 본관동 지하 1층 (상일동)05278강동경희대학교 병원 본관동 지하1층2023-07-18 14:29:15U2022-12-06 22:00:00.0<NA>213839.356196450118.261708<NA><NA><NA><NA>
132400003240000-S1995000191995-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7701.0<NA>서울특별시 강동구 상일동 148번지서울특별시 강동구 고덕로 지하 359 (상일동)134-835상일동역 지하1층 역사2023-07-18 14:28:18U2022-12-06 22:00:00.0<NA>213800.651513450278.377095<NA><NA><NA><NA>
232400003240000-S2023000012023-02-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2961.0<NA>서울특별시 강동구 성내동 601 하나플러스ll서울특별시 강동구 양재대로85길 60, 지하1층 (성내동, 하나플러스ll)05406하나플러스2차아파트 지하주차장 1층2023-11-02 13:53:49U2022-11-01 00:04:00.0<NA>211558.49603447019.520088<NA><NA><NA><NA>
332400003240000-S1995000011995-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4418.0<NA>서울특별시 강동구 고덕동 310번지서울특별시 강동구 고덕로 지하 253 (고덕동)134-878고덕전철역 지하1층역사2023-07-20 11:52:57U2022-12-06 22:02:00.0<NA>213525.074261450383.581791<NA><NA><NA><NA>
432400003240000-S1983000051983-01-012018-11-264취소/말소/만료/정지/중지19사용중지2018-11-26<NA><NA><NA><NA>760.0<NA>서울특별시 강동구 둔촌동 522번지 9호 한국전력 강동송파지사서울특별시 강동구 양재대로 1318, 한국전력 강동송파지사 (둔촌동)5411한전강동지점2018-11-28 17:31:13I2018-11-30 02:20:02.0<NA>211914.468779446851.325225서울특별시 강동구 둔촌동 522번지 9호 한국전력 강동송파지사공공시설한전강동지점20181126
532400003240000-S2000000012000-06-15<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>20657.0<NA>서울특별시 강동구 암사동 509번지서울특별시 강동구 상암로 11 (암사동)05240선사현대아파트(지하 2-3층 주차장)2023-09-08 13:59:20U2022-12-08 23:00:00.0<NA>211047.878697450021.504957<NA><NA><NA><NA>
632400003240000-S2023000072023-09-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>28303.32<NA>서울특별시 강동구 상일동 28 강동리엔파크14단지서울특별시 강동구 고덕로98길 160 (상일동, 강동리엔파크14단지)05286강동리엔파크 14단지 지하주차장 1~2층2024-01-30 15:03:25U2023-12-02 00:01:00.0<NA>215898.113091449933.236825<NA><NA><NA><NA>
732400003240000-S1983000021990-01-012023-11-134취소/말소/만료/정지/중지19사용중지2023-11-13<NA><NA><NA><NA>1858.0<NA>서울특별시 강동구 명일동 257번지서울특별시 강동구 구천면로 476 (명일동)05272명일주공9단지아파트(전체동의 지하1층)2023-11-13 09:53:45U2022-10-31 23:05:00.0<NA>213262.059722449527.440852<NA><NA><NA><NA>
832400003240000-S1989000051989-10-12<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1671.0<NA>서울특별시 강동구 명일동 335번지 3호서울특별시 강동구 양재대로 1596 (명일동)05295대신증권 지하1층주차장2024-01-21 19:08:58U2023-11-30 22:03:00.0<NA>212634.19125449540.492445<NA><NA><NA><NA>
932400003240000-S2023000032023-06-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>76965.0<NA>서울특별시 강동구 명일동 359 래미안 솔베뉴서울특별시 강동구 양재대로 1650 (명일동, 래미안 솔베뉴)05266래미안솔베뉴아파트 지하주차장(지하1층~지하3층)2024-01-21 19:10:12U2023-11-30 22:03:00.0<NA>212774.210432450065.574101<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
6532400003240000-S1984000091984-01-012023-11-144취소/말소/만료/정지/중지19사용중지2023-11-14<NA><NA><NA><NA>10195.0<NA>서울특별시 강동구 명일동 15번지서울특별시 강동구 고덕로 210 (명일동)05267삼익2차아파트(전동지하1층)2023-11-14 19:04:43U2022-10-31 23:06:00.0<NA>213048.69218450124.105735<NA><NA><NA><NA>
6632400003240000-S1984000101984-01-012023-11-144취소/말소/만료/정지/중지19사용중지2023-11-14<NA><NA><NA><NA>6090.0<NA>서울특별시 강동구 명일동 270번지서울특별시 강동구 상암로 214 (명일동)05297삼익가든아파트(전동지하1층)2023-11-14 19:04:49U2022-10-31 23:06:00.0<NA>212983.465961449447.82741<NA><NA><NA><NA>
6732400003240000-S1988000091988-01-012023-11-174취소/말소/만료/정지/중지19사용중지2023-11-17<NA><NA><NA><NA>1046.0<NA>서울특별시 강동구 천호동 41번지서울특별시 강동구 상암로 168 (천호동)05314강동구민회관 지하1층2023-11-17 15:21:56U2022-10-31 23:09:00.0<NA>212404.611007449280.595876<NA><NA><NA><NA>
6832400003240000-S2010000182010-12-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5992.0<NA>서울특별시 강동구 천호동 453번지 19호서울특별시 강동구 천호대로157길 14 (천호동)05335나비빌딩 지하1층2024-01-05 10:43:01U2023-12-01 00:07:00.0<NA>211176.084703448449.888935<NA><NA><NA><NA>
6932400003240000-S1998000061998-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4356.0<NA>서울특별시 강동구 천호동 565번지서울특별시 강동구 천호대로 1095 (천호동)05339현대코아아파트 지하3층2024-01-05 10:41:34U2023-12-01 00:07:00.0<NA>211750.896224448202.632547<NA><NA><NA><NA>
7032400003240000-S1996000051996-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11126.0<NA>서울특별시 강동구 천호동 528번지서울특별시 강동구 성안로25길 6 (천호동)05338삼성아파트(전동지하1층)2024-01-05 10:42:36U2023-12-01 00:07:00.0<NA>211881.921504448504.520641<NA><NA><NA><NA>
7132400003240000-S1995000101995-01-012024-01-054취소/말소/만료/정지/중지19사용중지2024-01-05<NA><NA><NA><NA>1108.0<NA>서울특별시 강동구 성내동 539번지 3호서울특별시 강동구 성내로 19 (성내동, (주)서경산업개발)05392서경빌딩 지하1층~지하2층 주차장2024-01-05 09:17:30U2023-12-01 00:07:00.0<NA>210796.444014447563.523425<NA><NA><NA><NA>
7232400003240000-S1995000161995-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>9409.0<NA>서울특별시 강동구 천호동 447번지서울특별시 강동구 천호대로 지하 1097 (천호동)05339지하철 강동역(지하1층)2024-01-05 10:42:23U2023-12-01 00:07:00.0<NA>211785.062144448178.173809<NA><NA><NA><NA>
7332400003240000-S1993000141993-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5271.0<NA>서울특별시 강동구 천호동 449번지 49호서울특별시 강동구 천호대로 1073 (천호동)05340힐탑오피스텔(지하1~4층)2024-01-05 10:42:11U2023-12-01 00:07:00.0<NA>211542.314117448273.114107<NA><NA><NA><NA>
7432400003240000-S1985000081990-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1285.0<NA>서울특별시 강동구 천호동 453번지 14호서울특별시 강동구 천호대로 1037 (천호동)05335세우빌딩 지하1층2024-01-05 10:41:49U2023-12-01 00:07:00.0<NA>211184.908455448405.548512<NA><NA><NA><NA>