Overview

Dataset statistics

Number of variables29
Number of observations110
Missing cells984
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory246.2 B

Variable types

Categorical11
Text7
Unsupported7
Numeric3
DateTime1

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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20047/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
인허가취소일자 is highly imbalanced (55.6%)Imbalance
폐업일자 is highly imbalanced (55.6%)Imbalance
시설구분명 is highly imbalanced (81.9%)Imbalance
휴업시작일자 has 110 (100.0%) missing valuesMissing
휴업종료일자 has 110 (100.0%) missing valuesMissing
재개업일자 has 110 (100.0%) missing valuesMissing
전화번호 has 110 (100.0%) missing valuesMissing
소재지우편번호 has 110 (100.0%) missing valuesMissing
업태구분명 has 110 (100.0%) missing valuesMissing
비상시설위치 has 107 (97.3%) missing valuesMissing
시설명_건물명 has 107 (97.3%) missing valuesMissing
해제일자 has 110 (100.0%) 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
해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 20:05:34.229191
Analysis finished2024-04-29 20:05:34.925895
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
3200000
110 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 110
100.0%

Length

2024-04-30T05:05:34.996300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:35.062712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 110
100.0%

관리번호
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-30T05:05:35.196414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters1980
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

Unique110 ?
Unique (%)100.0%

Sample

1st row3200000-S200600004
2nd row3200000-S200500089
3rd row3200000-S200500088
4th row3200000-S200500099
5th row3200000-S200500091
ValueCountFrequency (%)
3200000-s200600004 1
 
0.9%
3200000-s200500063 1
 
0.9%
3200000-s200400029 1
 
0.9%
3200000-s200800011 1
 
0.9%
3200000-s200800013 1
 
0.9%
3200000-s200800016 1
 
0.9%
3200000-s200800018 1
 
0.9%
3200000-s200800009 1
 
0.9%
3200000-s200800010 1
 
0.9%
3200000-s200800014 1
 
0.9%
Other values (100) 100
90.9%
2024-04-30T05:05:35.453774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1106
55.9%
2 243
 
12.3%
3 135
 
6.8%
- 110
 
5.6%
S 110
 
5.6%
1 82
 
4.1%
5 54
 
2.7%
4 41
 
2.1%
6 29
 
1.5%
9 28
 
1.4%
Other values (2) 42
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1760
88.9%
Dash Punctuation 110
 
5.6%
Uppercase Letter 110
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1106
62.8%
2 243
 
13.8%
3 135
 
7.7%
1 82
 
4.7%
5 54
 
3.1%
4 41
 
2.3%
6 29
 
1.6%
9 28
 
1.6%
8 28
 
1.6%
7 14
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1870
94.4%
Latin 110
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1106
59.1%
2 243
 
13.0%
3 135
 
7.2%
- 110
 
5.9%
1 82
 
4.4%
5 54
 
2.9%
4 41
 
2.2%
6 29
 
1.6%
9 28
 
1.5%
8 28
 
1.5%
Latin
ValueCountFrequency (%)
S 110
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1106
55.9%
2 243
 
12.3%
3 135
 
6.8%
- 110
 
5.6%
S 110
 
5.6%
1 82
 
4.1%
5 54
 
2.7%
4 41
 
2.1%
6 29
 
1.5%
9 28
 
1.4%
Other values (2) 42
 
2.1%

인허가일자
Categorical

Distinct43
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2004-01-01
15 
2008-01-31
12 
2005-06-20
8 
2005-07-05
7 
2005-05-02
7 
Other values (38)
61 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique25 ?
Unique (%)22.7%

Sample

1st row2006-01-10
2nd row2005-07-05
3rd row2005-07-05
4th row2005-07-05
5th row2005-07-05

Common Values

ValueCountFrequency (%)
2004-01-01 15
 
13.6%
2008-01-31 12
 
10.9%
2005-06-20 8
 
7.3%
2005-07-05 7
 
6.4%
2005-05-02 7
 
6.4%
2005-06-22 5
 
4.5%
2014-07-10 4
 
3.6%
2006-01-11 3
 
2.7%
2016-01-04 3
 
2.7%
2004-01-02 3
 
2.7%
Other values (33) 43
39.1%

Length

2024-04-30T05:05:35.579813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2004-01-01 15
 
13.6%
2008-01-31 12
 
10.9%
2005-06-20 8
 
7.3%
2005-07-05 7
 
6.4%
2005-05-02 7
 
6.4%
2005-06-22 5
 
4.5%
2014-07-10 4
 
3.6%
2006-01-11 3
 
2.7%
2016-01-04 3
 
2.7%
2004-01-02 3
 
2.7%
Other values (33) 43
39.1%

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
79 
2023-11-06
28 
2023-08-01
 
1
2023-08-16
 
1
2023-11-13
 
1

Length

Max length10
Median length4
Mean length5.6909091
Min length4

Unique

Unique3 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
71.8%
2023-11-06 28
 
25.5%
2023-08-01 1
 
0.9%
2023-08-16 1
 
0.9%
2023-11-13 1
 
0.9%

Length

2024-04-30T05:05:35.696522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:35.791177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
71.8%
2023-11-06 28
 
25.5%
2023-08-01 1
 
0.9%
2023-08-16 1
 
0.9%
2023-11-13 1
 
0.9%

영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
1
79 
4
31 

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 79
71.8%
4 31
 
28.2%

Length

2024-04-30T05:05:35.899331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:35.997052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
71.8%
4 31
 
28.2%

영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
영업/정상
79 
취소/말소/만료/정지/중지
31 

Length

Max length14
Median length5
Mean length7.5363636
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 79
71.8%
취소/말소/만료/정지/중지 31
 
28.2%

Length

2024-04-30T05:05:36.100541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:36.187609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 79
71.8%
취소/말소/만료/정지/중지 31
 
28.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
18
79 
19
31 

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 79
71.8%
19 31
 
28.2%

Length

2024-04-30T05:05:36.278404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:36.353884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 79
71.8%
19 31
 
28.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
사용중
79 
사용중지
31 

Length

Max length4
Median length3
Mean length3.2818182
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 79
71.8%
사용중지 31
 
28.2%

Length

2024-04-30T05:05:36.433673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:36.511976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 79
71.8%
사용중지 31
 
28.2%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
79 
2023-11-06
28 
2023-08-01
 
1
2023-08-16
 
1
2023-11-13
 
1

Length

Max length10
Median length4
Mean length5.6909091
Min length4

Unique

Unique3 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
71.8%
2023-11-06 28
 
25.5%
2023-08-01 1
 
0.9%
2023-08-16 1
 
0.9%
2023-11-13 1
 
0.9%

Length

2024-04-30T05:05:36.599010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:36.688642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
71.8%
2023-11-06 28
 
25.5%
2023-08-01 1
 
0.9%
2023-08-16 1
 
0.9%
2023-11-13 1
 
0.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Real number (ℝ)

Distinct109
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5348.3396
Minimum144
Maximum38164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T05:05:36.789777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144
5-th percentile264.2445
Q11137
median3177
Q36862
95-th percentile16385.046
Maximum38164
Range38020
Interquartile range (IQR)5725

Descriptive statistics

Standard deviation6497.4472
Coefficient of variation (CV)1.2148531
Kurtosis9.3375408
Mean5348.3396
Median Absolute Deviation (MAD)2711.5
Skewness2.5985963
Sum588317.36
Variance42216820
MonotonicityNot monotonic
2024-04-30T05:05:36.898321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
367.0 2
 
1.8%
11159.94 1
 
0.9%
10239.0 1
 
0.9%
10507.0 1
 
0.9%
1998.0 1
 
0.9%
5202.0 1
 
0.9%
5247.0 1
 
0.9%
3565.0 1
 
0.9%
6244.0 1
 
0.9%
7091.0 1
 
0.9%
Other values (99) 99
90.0%
ValueCountFrequency (%)
144.0 1
0.9%
173.0 1
0.9%
174.0 1
0.9%
198.0 1
0.9%
213.84 1
0.9%
261.99 1
0.9%
267.0 1
0.9%
286.87 1
0.9%
320.0 1
0.9%
346.0 1
0.9%
ValueCountFrequency (%)
38164.0 1
0.9%
36296.0 1
0.9%
19911.18 1
0.9%
19656.29 1
0.9%
18903.0 1
0.9%
16579.55 1
0.9%
16147.32 1
0.9%
15593.0 1
0.9%
13988.75 1
0.9%
13389.0 1
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct75
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-30T05:05:37.137633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length22.381818
Min length19

Characters and Unicode

Total characters2462
Distinct characters86
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)60.0%

Sample

1st row서울특별시 관악구 봉천동 1719번지
2nd row서울특별시 관악구 봉천동 1703번지
3rd row서울특별시 관악구 봉천동 1703번지
4th row서울특별시 관악구 봉천동 1703 성현동아아파트
5th row서울특별시 관악구 봉천동 1703번지 1호
ValueCountFrequency (%)
서울특별시 110
22.0%
관악구 109
21.8%
신림동 52
10.4%
봉천동 50
 
10.0%
1712번지 17
 
3.4%
1735번지 10
 
2.0%
1호 8
 
1.6%
남현동 7
 
1.4%
1694번지 7
 
1.4%
1703번지 6
 
1.2%
Other values (103) 125
25.0%
2024-04-30T05:05:37.492519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
391
 
15.9%
1 146
 
5.9%
동 114
 
4.6%
관 113
 
4.6%
서 111
 
4.5%
시 111
 
4.5%
악 111
 
4.5%
구 110
 
4.5%
울 110
 
4.5%
별 110
 
4.5%
Other values (76) 1035
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1554
63.1%
Decimal Number 495
 
20.1%
Space Separator 391
 
15.9%
Dash Punctuation 19
 
0.8%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 114
 
7.3%
관 113
 
7.3%
서 111
 
7.1%
시 111
 
7.1%
악 111
 
7.1%
구 110
 
7.1%
울 110
 
7.1%
별 110
 
7.1%
특 110
 
7.1%
지 88
 
5.7%
Other values (61) 466
30.0%
Decimal Number
ValueCountFrequency (%)
1 146
29.5%
7 69
13.9%
2 53
 
10.7%
6 46
 
9.3%
3 42
 
8.5%
5 39
 
7.9%
0 31
 
6.3%
9 29
 
5.9%
4 25
 
5.1%
8 15
 
3.0%
Space Separator
ValueCountFrequency (%)
391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1554
63.1%
Common 908
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 114
 
7.3%
관 113
 
7.3%
서 111
 
7.1%
시 111
 
7.1%
악 111
 
7.1%
구 110
 
7.1%
울 110
 
7.1%
별 110
 
7.1%
특 110
 
7.1%
지 88
 
5.7%
Other values (61) 466
30.0%
Common
ValueCountFrequency (%)
391
43.1%
1 146
 
16.1%
7 69
 
7.6%
2 53
 
5.8%
6 46
 
5.1%
3 42
 
4.6%
5 39
 
4.3%
0 31
 
3.4%
9 29
 
3.2%
4 25
 
2.8%
Other values (5) 37
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1554
63.1%
ASCII 908
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
391
43.1%
1 146
 
16.1%
7 69
 
7.6%
2 53
 
5.8%
6 46
 
5.1%
3 42
 
4.6%
5 39
 
4.3%
0 31
 
3.4%
9 29
 
3.2%
4 25
 
2.8%
Other values (5) 37
 
4.1%
Hangul
ValueCountFrequency (%)
동 114
 
7.3%
관 113
 
7.3%
서 111
 
7.1%
시 111
 
7.1%
악 111
 
7.1%
구 110
 
7.1%
울 110
 
7.1%
별 110
 
7.1%
특 110
 
7.1%
지 88
 
5.7%
Other values (61) 466
30.0%

도로명주소
Text

Distinct80
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-30T05:05:37.761631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length29.990909
Min length21

Characters and Unicode

Total characters3299
Distinct characters153
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 (%)66.4%

Sample

1st row서울특별시 관악구 은천로33길 5 (봉천동)
2nd row서울특별시 관악구 관악로 285 (봉천동)
3rd row서울특별시 관악구 관악로 285 (봉천동)
4th row서울특별시 관악구 관악로 285 (봉천동, 성현동아아파트)
5th row서울특별시 관악구 관악로37길 20 (봉천동)
ValueCountFrequency (%)
서울특별시 110
17.2%
관악구 109
17.0%
신림동 52
 
8.1%
봉천동 50
 
7.8%
난곡로 16
 
2.5%
성현로 15
 
2.3%
80 15
 
2.3%
남부순환로 12
 
1.9%
지하1층 11
 
1.7%
관악로 9
 
1.4%
Other values (170) 242
37.8%
2024-04-30T05:05:38.145457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
531
 
16.1%
관 138
 
4.2%
악 130
 
3.9%
동 123
 
3.7%
시 114
 
3.5%
서 113
 
3.4%
구 113
 
3.4%
( 112
 
3.4%
울 112
 
3.4%
) 112
 
3.4%
Other values (143) 1701
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2089
63.3%
Space Separator 531
 
16.1%
Decimal Number 368
 
11.2%
Open Punctuation 112
 
3.4%
Close Punctuation 112
 
3.4%
Other Punctuation 74
 
2.2%
Dash Punctuation 8
 
0.2%
Math Symbol 3
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 138
 
6.6%
악 130
 
6.2%
동 123
 
5.9%
시 114
 
5.5%
서 113
 
5.4%
구 113
 
5.4%
울 112
 
5.4%
특 110
 
5.3%
별 110
 
5.3%
로 93
 
4.5%
Other values (125) 933
44.7%
Decimal Number
ValueCountFrequency (%)
1 71
19.3%
2 58
15.8%
8 43
11.7%
0 41
11.1%
5 37
10.1%
3 30
8.2%
6 30
8.2%
9 24
 
6.5%
4 22
 
6.0%
7 12
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
531
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2089
63.3%
Common 1208
36.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 138
 
6.6%
악 130
 
6.2%
동 123
 
5.9%
시 114
 
5.5%
서 113
 
5.4%
구 113
 
5.4%
울 112
 
5.4%
특 110
 
5.3%
별 110
 
5.3%
로 93
 
4.5%
Other values (125) 933
44.7%
Common
ValueCountFrequency (%)
531
44.0%
( 112
 
9.3%
) 112
 
9.3%
, 74
 
6.1%
1 71
 
5.9%
2 58
 
4.8%
8 43
 
3.6%
0 41
 
3.4%
5 37
 
3.1%
3 30
 
2.5%
Other values (6) 99
 
8.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2089
63.3%
ASCII 1210
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
43.9%
( 112
 
9.3%
) 112
 
9.3%
, 74
 
6.1%
1 71
 
5.9%
2 58
 
4.8%
8 43
 
3.6%
0 41
 
3.4%
5 37
 
3.1%
3 30
 
2.5%
Other values (8) 101
 
8.3%
Hangul
ValueCountFrequency (%)
관 138
 
6.6%
악 130
 
6.2%
동 123
 
5.9%
시 114
 
5.5%
서 113
 
5.4%
구 113
 
5.4%
울 112
 
5.4%
특 110
 
5.3%
별 110
 
5.3%
로 93
 
4.5%
Other values (125) 933
44.7%

도로명우편번호
Text

Distinct51
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-30T05:05:38.321266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0272727
Min length4

Characters and Unicode

Total characters553
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

Unique31 ?
Unique (%)28.2%

Sample

1st row08729
2nd row08726
3rd row08726
4th row08726
5th row08726
ValueCountFrequency (%)
08725 15
 
13.6%
08862 9
 
8.2%
08845 8
 
7.3%
08726 6
 
5.5%
08793 5
 
4.5%
08708 4
 
3.6%
08706 3
 
2.7%
08861 3
 
2.7%
08797 3
 
2.7%
08807 3
 
2.7%
Other values (41) 51
46.4%
2024-04-30T05:05:38.654219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 159
28.8%
0 132
23.9%
7 83
15.0%
5 46
 
8.3%
2 40
 
7.2%
6 30
 
5.4%
4 21
 
3.8%
3 17
 
3.1%
9 13
 
2.4%
1 10
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 551
99.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 159
28.9%
0 132
24.0%
7 83
15.1%
5 46
 
8.3%
2 40
 
7.3%
6 30
 
5.4%
4 21
 
3.8%
3 17
 
3.1%
9 13
 
2.4%
1 10
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 553
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 159
28.8%
0 132
23.9%
7 83
15.0%
5 46
 
8.3%
2 40
 
7.2%
6 30
 
5.4%
4 21
 
3.8%
3 17
 
3.1%
9 13
 
2.4%
1 10
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 159
28.8%
0 132
23.9%
7 83
15.0%
5 46
 
8.3%
2 40
 
7.2%
6 30
 
5.4%
4 21
 
3.8%
3 17
 
3.1%
9 13
 
2.4%
1 10
 
1.8%

사업장명
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-04-30T05:05:38.827449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length19.4
Min length7

Characters and Unicode

Total characters2134
Distinct characters164
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

Unique110 ?
Unique (%)100.0%

Sample

1st row관악동부센트레빌 지하주차장 (지하1~3층)
2nd row성현동아아파트109동 지하주차장 (지하1층)
3rd row성현동아아파트106-8동 지하주차장 (지하1층)
4th row성현동아아파트110동 지하주차장 (지하1층)
5th row봉천동아아파트 201-4동 지하주차장 (지하1층)
ValueCountFrequency (%)
지하1층 38
 
12.8%
주차장 27
 
9.1%
지하1~3층 15
 
5.0%
관악드림타운(아 15
 
5.0%
지하1~2층 12
 
4.0%
지하1층주차장 11
 
3.7%
지하주차장 9
 
3.0%
지하 7
 
2.3%
신림현대아파트 7
 
2.3%
지하1~4층 4
 
1.3%
Other values (141) 153
51.3%
2024-04-30T05:05:39.096663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
8.8%
1 155
 
7.3%
지 146
 
6.8%
하 138
 
6.5%
층 111
 
5.2%
차 85
 
4.0%
주 80
 
3.7%
장 79
 
3.7%
아 74
 
3.5%
2 64
 
3.0%
Other values (154) 1014
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1396
65.4%
Decimal Number 330
 
15.5%
Space Separator 188
 
8.8%
Close Punctuation 64
 
3.0%
Open Punctuation 64
 
3.0%
Math Symbol 53
 
2.5%
Uppercase Letter 14
 
0.7%
Dash Punctuation 13
 
0.6%
Other Punctuation 10
 
0.5%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 146
 
10.5%
하 138
 
9.9%
층 111
 
8.0%
차 85
 
6.1%
주 80
 
5.7%
장 79
 
5.7%
아 74
 
5.3%
동 53
 
3.8%
트 40
 
2.9%
파 38
 
2.7%
Other values (133) 552
39.5%
Decimal Number
ValueCountFrequency (%)
1 155
47.0%
2 64
19.4%
3 32
 
9.7%
0 30
 
9.1%
5 12
 
3.6%
4 10
 
3.0%
6 9
 
2.7%
7 7
 
2.1%
8 6
 
1.8%
9 5
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
A 13
92.9%
B 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
/ 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Math Symbol
ValueCountFrequency (%)
~ 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1396
65.4%
Common 722
33.8%
Latin 16
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 146
 
10.5%
하 138
 
9.9%
층 111
 
8.0%
차 85
 
6.1%
주 80
 
5.7%
장 79
 
5.7%
아 74
 
5.3%
동 53
 
3.8%
트 40
 
2.9%
파 38
 
2.7%
Other values (133) 552
39.5%
Common
ValueCountFrequency (%)
188
26.0%
1 155
21.5%
2 64
 
8.9%
) 64
 
8.9%
( 64
 
8.9%
~ 53
 
7.3%
3 32
 
4.4%
0 30
 
4.2%
- 13
 
1.8%
5 12
 
1.7%
Other values (7) 47
 
6.5%
Latin
ValueCountFrequency (%)
A 13
81.2%
k 1
 
6.2%
s 1
 
6.2%
B 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1396
65.4%
ASCII 738
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
25.5%
1 155
21.0%
2 64
 
8.7%
) 64
 
8.7%
( 64
 
8.7%
~ 53
 
7.2%
3 32
 
4.3%
0 30
 
4.1%
- 13
 
1.8%
A 13
 
1.8%
Other values (11) 62
 
8.4%
Hangul
ValueCountFrequency (%)
지 146
 
10.5%
하 138
 
9.9%
층 111
 
8.0%
차 85
 
6.1%
주 80
 
5.7%
장 79
 
5.7%
아 74
 
5.3%
동 53
 
3.8%
트 40
 
2.9%
파 38
 
2.7%
Other values (133) 552
39.5%

최종수정일자
Date

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum2023-07-07 16:36:05
Maximum2024-02-28 14:38:43
2024-04-30T05:05:39.226637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:05:39.398017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
U
110 

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
100.0%

Length

2024-04-30T05:05:39.540600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:39.614673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 110
100.0%

데이터갱신일자
Categorical

Distinct22
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2022-11-01 00:08:00.0
28 
2023-12-01 23:01:00.0
20 
2023-12-02 00:07:00.0
15 
2023-12-02 00:03:00.0
14 
2022-11-01 00:01:00.0
5 
Other values (17)
28 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)10.0%

Sample

1st row2023-12-01 23:01:00.0
2nd row2023-12-01 23:01:00.0
3rd row2023-12-01 23:01:00.0
4th row2023-12-01 23:01:00.0
5th row2023-12-01 23:01:00.0

Common Values

ValueCountFrequency (%)
2022-11-01 00:08:00.0 28
25.5%
2023-12-01 23:01:00.0 20
18.2%
2023-12-02 00:07:00.0 15
13.6%
2023-12-02 00:03:00.0 14
12.7%
2022-11-01 00:01:00.0 5
 
4.5%
2022-12-06 22:01:00.0 3
 
2.7%
2022-12-06 22:06:00.0 3
 
2.7%
2022-10-30 22:06:00.0 3
 
2.7%
2022-10-30 22:08:00.0 3
 
2.7%
2023-07-09 02:40:00.0 3
 
2.7%
Other values (12) 13
11.8%

Length

2024-04-30T05:05:39.699355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-11-01 33
15.0%
2023-12-02 30
13.6%
00:08:00.0 28
12.7%
2023-12-01 21
9.5%
23:01:00.0 20
9.1%
00:07:00.0 15
6.8%
00:03:00.0 15
6.8%
00:01:00.0 8
 
3.6%
2022-10-30 8
 
3.6%
2022-12-06 7
 
3.2%
Other values (16) 35
15.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct74
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194733.62
Minimum191376.6
Maximum197933.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T05:05:39.812068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191376.6
5-th percentile192776.8
Q1193176.34
median194733.1
Q3195896.06
95-th percentile197702.68
Maximum197933.34
Range6556.7403
Interquartile range (IQR)2719.7227

Descriptive statistics

Standard deviation1623.0665
Coefficient of variation (CV)0.0083348038
Kurtosis-1.0279853
Mean194733.62
Median Absolute Deviation (MAD)1340.5425
Skewness0.24443232
Sum21420698
Variance2634344.8
MonotonicityNot monotonic
2024-04-30T05:05:39.936261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195563.161650411 15
 
13.6%
192855.685643844 8
 
7.3%
193957.944323928 7
 
6.4%
195999.574887132 5
 
4.5%
195345.358939177 2
 
1.8%
195478.099238389 2
 
1.8%
196821.205189853 2
 
1.8%
192844.377765223 2
 
1.8%
193671.349359142 2
 
1.8%
195595.842765877 1
 
0.9%
Other values (64) 64
58.2%
ValueCountFrequency (%)
191376.602183978 1
0.9%
192414.659227808 1
0.9%
192530.301854262 1
0.9%
192686.606682646 1
0.9%
192715.347417025 1
0.9%
192773.751831861 1
0.9%
192780.535811963 1
0.9%
192801.169043857 1
0.9%
192821.62455972 1
0.9%
192839.600802597 1
0.9%
ValueCountFrequency (%)
197933.34245045 1
0.9%
197915.557803746 1
0.9%
197873.758233403 1
0.9%
197839.678764919 1
0.9%
197832.09079261 1
0.9%
197771.766609003 1
0.9%
197618.236361965 1
0.9%
197617.229063943 1
0.9%
197160.304326419 1
0.9%
196962.55814258 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct74
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441866.26
Minimum439663.59
Maximum443547.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T05:05:40.075371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439663.59
5-th percentile439663.59
Q1441126.64
median442036.88
Q3443044.7
95-th percentile443250.01
Maximum443547.05
Range3883.4641
Interquartile range (IQR)1918.0638

Descriptive statistics

Standard deviation1158.0284
Coefficient of variation (CV)0.0026207668
Kurtosis-0.91917082
Mean441866.26
Median Absolute Deviation (MAD)1007.8179
Skewness-0.49069665
Sum48605289
Variance1341029.9
MonotonicityNot monotonic
2024-04-30T05:05:40.395423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443064.437566493 15
 
13.6%
439663.585570958 8
 
7.3%
441437.774867372 7
 
6.4%
443044.700996218 5
 
4.5%
443273.487218185 2
 
1.8%
442528.04622223 2
 
1.8%
441024.17031497 2
 
1.8%
439911.674076766 2
 
1.8%
442039.985895904 2
 
1.8%
442779.951685276 1
 
0.9%
Other values (64) 64
58.2%
ValueCountFrequency (%)
439663.585570958 8
7.3%
439724.746607732 1
 
0.9%
439837.316813139 1
 
0.9%
439911.674076766 2
 
1.8%
439946.302906409 1
 
0.9%
440080.722096024 1
 
0.9%
440231.128870953 1
 
0.9%
440300.32138438 1
 
0.9%
440380.585173363 1
 
0.9%
440594.854590848 1
 
0.9%
ValueCountFrequency (%)
443547.049696825 1
 
0.9%
443369.161080189 1
 
0.9%
443347.669199144 1
 
0.9%
443341.379446435 1
 
0.9%
443273.487218185 2
 
1.8%
443221.321009043 1
 
0.9%
443216.750634836 1
 
0.9%
443151.561302292 1
 
0.9%
443076.257580295 1
 
0.9%
443064.437566493 15
13.6%

비상시설위치
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing107
Missing (%)97.3%
Memory size1012.0 B
2024-04-30T05:05:40.550087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length20
Mean length26.666667
Min length20

Characters and Unicode

Total characters80
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row서울특별시 관악구 신림동 526-12 관악가족행복센터 지하주차장 1~2층
2nd row서울특별시 관악구 봉천동 1712번지
3rd row서울특별시 관악구 봉천동 1712번지
ValueCountFrequency (%)
서울특별시 3
20.0%
관악구 3
20.0%
봉천동 2
13.3%
1712번지 2
13.3%
신림동 1
 
6.7%
526-12 1
 
6.7%
관악가족행복센터 1
 
6.7%
지하주차장 1
 
6.7%
1~2층 1
 
6.7%
2024-04-30T05:05:40.792396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
15.0%
1 6
 
7.5%
2 5
 
6.2%
관 4
 
5.0%
악 4
 
5.0%
동 3
 
3.8%
울 3
 
3.8%
지 3
 
3.8%
서 3
 
3.8%
구 3
 
3.8%
Other values (24) 34
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51
63.7%
Decimal Number 15
 
18.8%
Space Separator 12
 
15.0%
Math Symbol 1
 
1.2%
Dash Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 4
 
7.8%
악 4
 
7.8%
동 3
 
5.9%
울 3
 
5.9%
지 3
 
5.9%
서 3
 
5.9%
구 3
 
5.9%
시 3
 
5.9%
별 3
 
5.9%
특 3
 
5.9%
Other values (16) 19
37.3%
Decimal Number
ValueCountFrequency (%)
1 6
40.0%
2 5
33.3%
7 2
 
13.3%
6 1
 
6.7%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51
63.7%
Common 29
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 4
 
7.8%
악 4
 
7.8%
동 3
 
5.9%
울 3
 
5.9%
지 3
 
5.9%
서 3
 
5.9%
구 3
 
5.9%
시 3
 
5.9%
별 3
 
5.9%
특 3
 
5.9%
Other values (16) 19
37.3%
Common
ValueCountFrequency (%)
12
41.4%
1 6
20.7%
2 5
17.2%
7 2
 
6.9%
~ 1
 
3.4%
- 1
 
3.4%
6 1
 
3.4%
5 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51
63.7%
ASCII 29
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
41.4%
1 6
20.7%
2 5
17.2%
7 2
 
6.9%
~ 1
 
3.4%
- 1
 
3.4%
6 1
 
3.4%
5 1
 
3.4%
Hangul
ValueCountFrequency (%)
관 4
 
7.8%
악 4
 
7.8%
동 3
 
5.9%
울 3
 
5.9%
지 3
 
5.9%
서 3
 
5.9%
구 3
 
5.9%
시 3
 
5.9%
별 3
 
5.9%
특 3
 
5.9%
Other values (16) 19
37.3%

시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
107 
공공용시설
 
3

Length

Max length5
Median length4
Mean length4.0272727
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> 107
97.3%
공공용시설 3
 
2.7%

Length

2024-04-30T05:05:40.924411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:05:41.022480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
97.3%
공공용시설 3
 
2.7%

시설명_건물명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing107
Missing (%)97.3%
Memory size1012.0 B
2024-04-30T05:05:41.146239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length24.666667
Min length23

Characters and Unicode

Total characters74
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row관악가족행복센터 지하주차장 (지하1~2층)
2nd row관악드림타운(아) 지하주차장12 (지하1~4층)
3rd row관악드림타운(아) 지하주차장8 (지하1~3층)
ValueCountFrequency (%)
관악드림타운(아 2
22.2%
관악가족행복센터 1
11.1%
지하주차장 1
11.1%
지하1~2층 1
11.1%
지하주차장12 1
11.1%
지하1~4층 1
11.1%
지하주차장8 1
11.1%
지하1~3층 1
11.1%
2024-04-30T05:05:41.392503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
8.1%
지 6
 
8.1%
하 6
 
8.1%
( 5
 
6.8%
) 5
 
6.8%
1 4
 
5.4%
차 3
 
4.1%
층 3
 
4.1%
~ 3
 
4.1%
악 3
 
4.1%
Other values (18) 30
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46
62.2%
Decimal Number 9
 
12.2%
Space Separator 6
 
8.1%
Open Punctuation 5
 
6.8%
Close Punctuation 5
 
6.8%
Math Symbol 3
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
13.0%
하 6
13.0%
차 3
 
6.5%
층 3
 
6.5%
악 3
 
6.5%
장 3
 
6.5%
관 3
 
6.5%
주 3
 
6.5%
드 2
 
4.3%
림 2
 
4.3%
Other values (9) 12
26.1%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 2
22.2%
4 1
 
11.1%
8 1
 
11.1%
3 1
 
11.1%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46
62.2%
Common 28
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
13.0%
하 6
13.0%
차 3
 
6.5%
층 3
 
6.5%
악 3
 
6.5%
장 3
 
6.5%
관 3
 
6.5%
주 3
 
6.5%
드 2
 
4.3%
림 2
 
4.3%
Other values (9) 12
26.1%
Common
ValueCountFrequency (%)
6
21.4%
( 5
17.9%
) 5
17.9%
1 4
14.3%
~ 3
10.7%
2 2
 
7.1%
4 1
 
3.6%
8 1
 
3.6%
3 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46
62.2%
ASCII 28
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
21.4%
( 5
17.9%
) 5
17.9%
1 4
14.3%
~ 3
10.7%
2 2
 
7.1%
4 1
 
3.6%
8 1
 
3.6%
3 1
 
3.6%
Hangul
ValueCountFrequency (%)
지 6
13.0%
하 6
13.0%
차 3
 
6.5%
층 3
 
6.5%
악 3
 
6.5%
장 3
 
6.5%
관 3
 
6.5%
주 3
 
6.5%
드 2
 
4.3%
림 2
 
4.3%
Other values (9) 12
26.1%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
032000003200000-S2006000042006-01-10<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11159.94<NA>서울특별시 관악구 봉천동 1719번지서울특별시 관악구 은천로33길 5 (봉천동)08729관악동부센트레빌 지하주차장 (지하1~3층)2024-02-08 14:08:41U2023-12-01 23:01:00.0<NA>195595.842766442779.951685<NA><NA><NA><NA>
132000003200000-S2005000892005-07-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5805.0<NA>서울특별시 관악구 봉천동 1703번지서울특별시 관악구 관악로 285 (봉천동)08726성현동아아파트109동 지하주차장 (지하1층)2024-02-08 14:05:52U2023-12-01 23:01:00.0<NA>195999.574887443044.700996<NA><NA><NA><NA>
232000003200000-S2005000882005-07-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>13988.75<NA>서울특별시 관악구 봉천동 1703번지서울특별시 관악구 관악로 285 (봉천동)08726성현동아아파트106-8동 지하주차장 (지하1층)2024-02-08 14:04:42U2023-12-01 23:01:00.0<NA>195999.574887443044.700996<NA><NA><NA><NA>
332000003200000-S2005000992005-07-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>7057.5<NA>서울특별시 관악구 봉천동 1703 성현동아아파트서울특별시 관악구 관악로 285 (봉천동, 성현동아아파트)08726성현동아아파트110동 지하주차장 (지하1층)2024-02-08 14:06:41U2023-12-01 23:01:00.0<NA>195999.574887443044.700996<NA><NA><NA><NA>
432000003200000-S2005000912005-07-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>13169.3<NA>서울특별시 관악구 봉천동 1703번지 1호서울특별시 관악구 관악로37길 20 (봉천동)08726봉천동아아파트 201-4동 지하주차장 (지하1층)2024-02-08 14:07:27U2023-12-01 23:01:00.0<NA>196054.820333442856.710106<NA><NA><NA><NA>
532000003200000-S2005000862005-07-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5712.5<NA>서울특별시 관악구 봉천동 1703번지서울특별시 관악구 관악로 285 (봉천동)08726성현동아아파트 101-2동 지하주차장 (지하1층)2024-02-08 14:02:48U2023-12-01 23:01:00.0<NA>195999.574887443044.700996<NA><NA><NA><NA>
632000003200000-S2004000232004-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2489.88<NA>서울특별시 관악구 봉천동 1712번지서울특별시 관악구 성현로 80 (봉천동)08725관악드림타운(아) 지하주차장15 (지하1~2층)2024-02-08 14:01:24U2023-12-01 23:01:00.0<NA>195563.16165443064.437566<NA><NA><NA><NA>
732000003200000-S2004000192004-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4916.96<NA>서울특별시 관악구 봉천동 1712번지서울특별시 관악구 성현로 80 (봉천동)08725관악드림타운(아) 지하주차장11 (지하1~3층)2024-02-08 13:57:55U2023-12-01 23:01:00.0<NA>195563.16165443064.437566<NA><NA><NA><NA>
832000003200000-S2004000132004-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6377.8<NA>서울특별시 관악구 봉천동 1712번지서울특별시 관악구 성현로 80 (봉천동)08725관악드림타운(아) 지하주차장5 (지하1~3층)2024-02-08 13:51:42U2023-12-01 23:01:00.0<NA>195563.16165443064.437566<NA><NA><NA><NA>
932000003200000-S2004000092004-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5982.06<NA>서울특별시 관악구 봉천동 1712번지서울특별시 관악구 성현로 80 (봉천동, 관악드림타운아파트)08725관악드림타운(아) 지하주차장1 (지하1~5층 )2024-02-08 10:30:02U2023-12-01 23:01:00.0<NA>195563.16165443064.437566<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
10032000003200000-S2006000082006-01-23<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11666.17<NA>서울특별시 관악구 신림동 1727번지서울특별시 관악구 난곡로 167 (신림동)08858임광관악파크아파트 지하1층 주차장2024-02-05 12:42:19U2023-12-02 00:07:00.0<NA>192773.751832440839.689206<NA><NA><NA><NA>
10132000003200000-S2005000522005-06-22<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4360.0<NA>서울특별시 관악구 신림동 1695번지서울특별시 관악구 신원로 26 (신림동, 신림동부아파트)08775신림동부아파트 상가101동 지하1층주차장2023-10-24 16:10:21U2022-10-30 22:06:00.0<NA>193671.349359442039.985896<NA><NA><NA><NA>
10232000003200000-S2005000532005-06-22<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6890.0<NA>서울특별시 관악구 신림동 1695번지서울특별시 관악구 신원로 26 (신림동, 신림동부아파트)08775신림동부아파트 지하1층주차장2023-10-24 16:18:31U2022-10-30 22:06:00.0<NA>193671.349359442039.985896<NA><NA><NA><NA>
10332000003200000-S2005000232005-06-20<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1267.2<NA>서울특별시 관악구 남현동 1085-32서울특별시 관악구 남현1가길 28, 남성교회 지하1층 (남현동)08807남성교회 지하1층2023-10-24 15:20:14U2022-10-30 22:06:00.0<NA>197933.34245441374.265693<NA><NA><NA><NA>
10432000003200000-S2012000022012-05-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11373.0<NA>서울특별시 관악구 신림동 1641번지 2호서울특별시 관악구 신림로 330 (신림동, 포도몰)08777타임스트림(구 포도몰) 지하3~7층2024-01-02 13:46:34U2023-12-01 00:04:00.0<NA>193754.42735442407.201247<NA><NA><NA><NA>
10532000003200000-S1985000011985-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6458.0<NA>서울특별시 동작구 사당동 1129 사당역(2호선)서울특별시 동작구 남부순환로 지하2089, 사당전철역(2호선) 지하1층 (사당동)07025사당역 2호선2024-01-30 10:50:07U2023-12-02 00:01:00.0<NA>197839.678765441582.94931<NA><NA><NA><NA>
10632000003200000-S2005000761996-07-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3901.0<NA>서울특별시 관악구 신림동 1412번지 2호서울특별시 관악구 남부순환로 1643-0 (신림동, 서울관악우체국)08755관악우체국 지하1~2층2024-02-05 15:07:59U2023-12-02 00:07:00.0<NA>194017.115661442544.813338<NA><NA><NA><NA>
10732000003200000-S2005000771996-07-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2981.0<NA>서울특별시 관악구 신림동 1421번지 29호서울특별시 관악구 신림로 344 (신림동, SK허브그린)08754sk허브그린 지하2~4층2024-02-05 15:07:34U2023-12-02 00:07:00.0<NA>193735.829747442552.922888<NA><NA><NA><NA>
10832000003200000-S1994000051994-10-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1893.76<NA>서울특별시 관악구 신림동 233번지 11호서울특별시 관악구 신림로3가길 45-10 (신림동, 건영신림5차아파트)08816건영신림5차아파트 정문 지하1층주차장2024-02-05 19:53:04U2023-12-02 00:07:00.0<NA>194783.471602440669.515062<NA><NA><NA><NA>
10932000003200000-S1984000031984-02-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5267.0<NA>서울특별시 관악구 봉천동 1693-39서울특별시 관악구 남부순환로 지하1928, 지하1층 (봉천동)08793낙성대역 지하1층2024-02-05 17:06:57U2023-12-02 00:07:00.0<NA>196895.883772441576.122423<NA><NA><NA><NA>