Overview

Dataset statistics

Number of variables29
Number of observations136
Missing cells1293
Missing cells (%)32.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory246.0 B

Variable types

Categorical8
Text7
DateTime4
Unsupported6
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),비상시설위치,시설구분명,시설명_건물명,해제일자
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20022/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 63 (46.3%) missing valuesMissing
폐업일자 has 63 (46.3%) missing valuesMissing
휴업시작일자 has 136 (100.0%) missing valuesMissing
휴업종료일자 has 136 (100.0%) missing valuesMissing
재개업일자 has 136 (100.0%) missing valuesMissing
전화번호 has 136 (100.0%) missing valuesMissing
소재지우편번호 has 136 (100.0%) missing valuesMissing
도로명주소 has 46 (33.8%) missing valuesMissing
도로명우편번호 has 50 (36.8%) missing valuesMissing
업태구분명 has 136 (100.0%) missing valuesMissing
좌표정보(X) has 46 (33.8%) missing valuesMissing
좌표정보(Y) has 46 (33.8%) missing valuesMissing
비상시설위치 has 45 (33.1%) missing valuesMissing
시설명_건물명 has 45 (33.1%) missing valuesMissing
해제일자 has 73 (53.7%) missing valuesMissing
관리번호 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 05:24:02.598847
Analysis finished2024-05-11 05:24:03.846204
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3200000
136 

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 136
100.0%

Length

2024-05-11T14:24:03.964403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:04.129864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 136
100.0%

관리번호
Text

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:24:04.394106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2448
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

Unique136 ?
Unique (%)100.0%

Sample

1st row3200000-E197600001
2nd row3200000-E197900001
3rd row3200000-E197900002
4th row3200000-E198000001
5th row3200000-E198000002
ValueCountFrequency (%)
3200000-e197600001 1
 
0.7%
3200000-e197900001 1
 
0.7%
3200000-e200700003 1
 
0.7%
3200000-e200700002 1
 
0.7%
3200000-e200700001 1
 
0.7%
3200000-e200600001 1
 
0.7%
3200000-e200500015 1
 
0.7%
3200000-e200500014 1
 
0.7%
3200000-e200500013 1
 
0.7%
3200000-e198600003 1
 
0.7%
Other values (126) 126
92.6%
2024-05-11T14:24:04.915286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1368
55.9%
2 283
 
11.6%
3 190
 
7.8%
- 136
 
5.6%
E 136
 
5.6%
1 121
 
4.9%
9 89
 
3.6%
7 34
 
1.4%
5 33
 
1.3%
8 26
 
1.1%
Other values (2) 32
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2176
88.9%
Dash Punctuation 136
 
5.6%
Uppercase Letter 136
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1368
62.9%
2 283
 
13.0%
3 190
 
8.7%
1 121
 
5.6%
9 89
 
4.1%
7 34
 
1.6%
5 33
 
1.5%
8 26
 
1.2%
4 18
 
0.8%
6 14
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2312
94.4%
Latin 136
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1368
59.2%
2 283
 
12.2%
3 190
 
8.2%
- 136
 
5.9%
1 121
 
5.2%
9 89
 
3.8%
7 34
 
1.5%
5 33
 
1.4%
8 26
 
1.1%
4 18
 
0.8%
Latin
ValueCountFrequency (%)
E 136
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1368
55.9%
2 283
 
11.6%
3 190
 
7.8%
- 136
 
5.6%
E 136
 
5.6%
1 121
 
4.9%
9 89
 
3.6%
7 34
 
1.4%
5 33
 
1.3%
8 26
 
1.1%
Other values (2) 32
 
1.3%

인허가일자
Date

Distinct62
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1976-01-01 00:00:00
Maximum2024-01-08 00:00:00
2024-05-11T14:24:05.180675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:05.439743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct45
Distinct (%)61.6%
Missing63
Missing (%)46.3%
Memory size1.2 KiB
Minimum2003-12-08 00:00:00
Maximum2024-01-08 00:00:00
2024-05-11T14:24:05.686850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:05.894614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

영업상태코드
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
4
73 
1
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 73
53.7%
1 63
46.3%

Length

2024-05-11T14:24:06.107466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:06.278162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 73
53.7%
1 63
46.3%

영업상태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
취소/말소/만료/정지/중지
73 
영업/정상
63 

Length

Max length14
Median length14
Mean length9.8308824
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 73
53.7%
영업/정상 63
46.3%

Length

2024-05-11T14:24:06.453797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:06.626595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 73
53.7%
영업/정상 63
46.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
19
73 
18
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19 73
53.7%
18 63
46.3%

Length

2024-05-11T14:24:06.811908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:06.993315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 73
53.7%
18 63
46.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사용중지
73 
사용중
63 

Length

Max length4
Median length4
Mean length3.5367647
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 73
53.7%
사용중 63
46.3%

Length

2024-05-11T14:24:07.174218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:07.379365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 73
53.7%
사용중 63
46.3%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)61.6%
Missing63
Missing (%)46.3%
Memory size1.2 KiB
Minimum2003-12-08 00:00:00
Maximum2024-01-08 00:00:00
2024-05-11T14:24:07.566668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:07.822277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

소재지면적
Real number (ℝ)

Distinct46
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368.78676
Minimum19
Maximum13728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:08.080946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile36
Q150
median75
Q390
95-th percentile307.5
Maximum13728
Range13709
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1754.0825
Coefficient of variation (CV)4.7563596
Kurtosis42.608511
Mean368.78676
Median Absolute Deviation (MAD)18
Skewness6.5165511
Sum50155
Variance3076805.3
MonotonicityNot monotonic
2024-05-11T14:24:08.373791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
36 16
 
11.8%
90 13
 
9.6%
75 12
 
8.8%
50 12
 
8.8%
85 7
 
5.1%
70 6
 
4.4%
65 6
 
4.4%
60 5
 
3.7%
100 5
 
3.7%
80 4
 
2.9%
Other values (36) 50
36.8%
ValueCountFrequency (%)
19 1
 
0.7%
35 1
 
0.7%
36 16
11.8%
38 1
 
0.7%
40 2
 
1.5%
42 1
 
0.7%
45 1
 
0.7%
46 2
 
1.5%
48 2
 
1.5%
50 12
8.8%
ValueCountFrequency (%)
13728 1
0.7%
11373 1
0.7%
10181 1
0.7%
3036 1
0.7%
1399 1
0.7%
409 1
0.7%
366 1
0.7%
288 1
0.7%
250 1
0.7%
240 2
1.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

지번주소
Text

Distinct131
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:24:09.042761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length23.882353
Min length18

Characters and Unicode

Total characters3248
Distinct characters79
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

Unique126 ?
Unique (%)92.6%

Sample

1st row서울특별시 관악구 신림동 1418번지 1호
2nd row서울특별시 관악구 신림동 745번지
3rd row서울특별시 관악구 신림동 599번지 21호
4th row서울특별시 관악구 신림동 1640번지 1 호
5th row서울특별시 관악구 봉천동 635번지 457호
ValueCountFrequency (%)
서울특별시 136
19.7%
관악구 136
19.7%
신림동 65
 
9.4%
봉천동 60
 
8.7%
호 23
 
3.3%
1호 10
 
1.4%
남현동 8
 
1.2%
5호 6
 
0.9%
2호 6
 
0.9%
산 6
 
0.9%
Other values (182) 235
34.0%
2024-05-11T14:24:09.891734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
664
20.4%
1 153
 
4.7%
동 140
 
4.3%
서 138
 
4.2%
시 137
 
4.2%
울 137
 
4.2%
관 136
 
4.2%
악 136
 
4.2%
구 136
 
4.2%
특 136
 
4.2%
Other values (69) 1335
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1920
59.1%
Space Separator 664
 
20.4%
Decimal Number 640
 
19.7%
Dash Punctuation 24
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 140
 
7.3%
서 138
 
7.2%
시 137
 
7.1%
울 137
 
7.1%
관 136
 
7.1%
악 136
 
7.1%
구 136
 
7.1%
특 136
 
7.1%
별 136
 
7.1%
번 110
 
5.7%
Other values (57) 578
30.1%
Decimal Number
ValueCountFrequency (%)
1 153
23.9%
6 68
10.6%
2 68
10.6%
5 62
9.7%
4 54
 
8.4%
7 52
 
8.1%
9 50
 
7.8%
3 49
 
7.7%
8 45
 
7.0%
0 39
 
6.1%
Space Separator
ValueCountFrequency (%)
664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1920
59.1%
Common 1328
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 140
 
7.3%
서 138
 
7.2%
시 137
 
7.1%
울 137
 
7.1%
관 136
 
7.1%
악 136
 
7.1%
구 136
 
7.1%
특 136
 
7.1%
별 136
 
7.1%
번 110
 
5.7%
Other values (57) 578
30.1%
Common
ValueCountFrequency (%)
664
50.0%
1 153
 
11.5%
6 68
 
5.1%
2 68
 
5.1%
5 62
 
4.7%
4 54
 
4.1%
7 52
 
3.9%
9 50
 
3.8%
3 49
 
3.7%
8 45
 
3.4%
Other values (2) 63
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1920
59.1%
ASCII 1328
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
664
50.0%
1 153
 
11.5%
6 68
 
5.1%
2 68
 
5.1%
5 62
 
4.7%
4 54
 
4.1%
7 52
 
3.9%
9 50
 
3.8%
3 49
 
3.7%
8 45
 
3.4%
Other values (2) 63
 
4.7%
Hangul
ValueCountFrequency (%)
동 140
 
7.3%
서 138
 
7.2%
시 137
 
7.1%
울 137
 
7.1%
관 136
 
7.1%
악 136
 
7.1%
구 136
 
7.1%
특 136
 
7.1%
별 136
 
7.1%
번 110
 
5.7%
Other values (57) 578
30.1%

도로명주소
Text

MISSING 

Distinct87
Distinct (%)96.7%
Missing46
Missing (%)33.8%
Memory size1.2 KiB
2024-05-11T14:24:10.412200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length27.033333
Min length21

Characters and Unicode

Total characters2433
Distinct characters148
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)93.3%

Sample

1st row서울특별시 관악구 국회단지15길 39 (봉천동)
2nd row서울특별시 관악구 은천로 28 (봉천동)
3rd row서울특별시 관악구 인헌길 23 (봉천동)
4th row서울특별시 관악구 관악로13길 25 (봉천동)
5th row서울특별시 관악구 관악로 1 (봉천동)
ValueCountFrequency (%)
서울특별시 90
19.0%
관악구 90
19.0%
신림동 42
 
8.9%
봉천동 38
 
8.0%
남부순환로 14
 
3.0%
남현동 6
 
1.3%
신림로 6
 
1.3%
관악로 5
 
1.1%
문성로 5
 
1.1%
신림로29길 3
 
0.6%
Other values (152) 175
36.9%
2024-05-11T14:24:11.427640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
 
15.8%
악 99
 
4.1%
관 99
 
4.1%
동 94
 
3.9%
시 93
 
3.8%
서 92
 
3.8%
) 91
 
3.7%
( 91
 
3.7%
울 91
 
3.7%
별 90
 
3.7%
Other values (138) 1209
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1507
61.9%
Space Separator 384
 
15.8%
Decimal Number 312
 
12.8%
Close Punctuation 91
 
3.7%
Open Punctuation 91
 
3.7%
Other Punctuation 27
 
1.1%
Dash Punctuation 12
 
0.5%
Uppercase Letter 7
 
0.3%
Other Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
악 99
 
6.6%
관 99
 
6.6%
동 94
 
6.2%
시 93
 
6.2%
서 92
 
6.1%
울 91
 
6.0%
별 90
 
6.0%
구 90
 
6.0%
특 90
 
6.0%
로 68
 
4.5%
Other values (115) 601
39.9%
Decimal Number
ValueCountFrequency (%)
1 57
18.3%
2 50
16.0%
3 38
12.2%
4 28
9.0%
8 27
8.7%
5 27
8.7%
7 24
7.7%
9 21
 
6.7%
6 21
 
6.7%
0 19
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
C 1
14.3%
G 1
14.3%
L 1
14.3%
P 1
14.3%
K 1
14.3%
Other Number
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%
Space Separator
ValueCountFrequency (%)
384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1507
61.9%
Common 919
37.8%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
악 99
 
6.6%
관 99
 
6.6%
동 94
 
6.2%
시 93
 
6.2%
서 92
 
6.1%
울 91
 
6.0%
별 90
 
6.0%
구 90
 
6.0%
특 90
 
6.0%
로 68
 
4.5%
Other values (115) 601
39.9%
Common
ValueCountFrequency (%)
384
41.8%
) 91
 
9.9%
( 91
 
9.9%
1 57
 
6.2%
2 50
 
5.4%
3 38
 
4.1%
4 28
 
3.0%
8 27
 
2.9%
5 27
 
2.9%
, 27
 
2.9%
Other values (7) 99
 
10.8%
Latin
ValueCountFrequency (%)
S 2
28.6%
C 1
14.3%
G 1
14.3%
L 1
14.3%
P 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1507
61.9%
ASCII 924
38.0%
Enclosed Alphanum 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
41.6%
) 91
 
9.8%
( 91
 
9.8%
1 57
 
6.2%
2 50
 
5.4%
3 38
 
4.1%
4 28
 
3.0%
8 27
 
2.9%
5 27
 
2.9%
, 27
 
2.9%
Other values (11) 104
 
11.3%
Hangul
ValueCountFrequency (%)
악 99
 
6.6%
관 99
 
6.6%
동 94
 
6.2%
시 93
 
6.2%
서 92
 
6.1%
울 91
 
6.0%
별 90
 
6.0%
구 90
 
6.0%
특 90
 
6.0%
로 68
 
4.5%
Other values (115) 601
39.9%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%

도로명우편번호
Text

MISSING 

Distinct70
Distinct (%)81.4%
Missing50
Missing (%)36.8%
Memory size1.2 KiB
2024-05-11T14:24:11.811149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6744186
Min length5

Characters and Unicode

Total characters488
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

Unique57 ?
Unique (%)66.3%

Sample

1st row151828
2nd row151843
3rd row151814
4th row151836
5th row151851
ValueCountFrequency (%)
151863 3
 
3.5%
08777 3
 
3.5%
151-848 3
 
3.5%
151800 2
 
2.3%
08845 2
 
2.3%
08778 2
 
2.3%
08807 2
 
2.3%
151701 2
 
2.3%
151815 2
 
2.3%
08843 2
 
2.3%
Other values (60) 63
73.3%
2024-05-11T14:24:12.540227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 112
23.0%
8 112
23.0%
5 63
12.9%
0 61
12.5%
7 52
10.7%
4 21
 
4.3%
3 17
 
3.5%
6 15
 
3.1%
9 14
 
2.9%
- 11
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 477
97.7%
Dash Punctuation 11
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 112
23.5%
8 112
23.5%
5 63
13.2%
0 61
12.8%
7 52
10.9%
4 21
 
4.4%
3 17
 
3.6%
6 15
 
3.1%
9 14
 
2.9%
2 10
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 488
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 112
23.0%
8 112
23.0%
5 63
12.9%
0 61
12.5%
7 52
10.7%
4 21
 
4.3%
3 17
 
3.5%
6 15
 
3.1%
9 14
 
2.9%
- 11
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 112
23.0%
8 112
23.0%
5 63
12.9%
0 61
12.5%
7 52
10.7%
4 21
 
4.3%
3 17
 
3.5%
6 15
 
3.1%
9 14
 
2.9%
- 11
 
2.3%

사업장명
Text

Distinct133
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T14:24:13.079939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.4705882
Min length3

Characters and Unicode

Total characters1016
Distinct characters233
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)95.6%

Sample

1st row제1어린이공원 비상급수시설
2nd row가정용(윤복례)
3rd row이천섭
4th row신림역
5th row로마아파트
ValueCountFrequency (%)
비상급수시설 4
 
2.3%
지하주차장 4
 
2.3%
청수탕 2
 
1.1%
용주사 2
 
1.1%
태화탕 2
 
1.1%
제일목욕탕 2
 
1.1%
삼성산 2
 
1.1%
신림역 2
 
1.1%
은성목욕탕 1
 
0.6%
청암두산위브센트움 1
 
0.6%
Other values (153) 153
87.4%
2024-05-11T14:24:13.855754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
3.8%
( 35
 
3.4%
) 35
 
3.4%
주 24
 
2.4%
원 21
 
2.1%
탕 20
 
2.0%
수 18
 
1.8%
성 17
 
1.7%
트 16
 
1.6%
장 16
 
1.6%
Other values (223) 775
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 863
84.9%
Space Separator 39
 
3.8%
Open Punctuation 35
 
3.4%
Close Punctuation 35
 
3.4%
Decimal Number 21
 
2.1%
Uppercase Letter 15
 
1.5%
Dash Punctuation 4
 
0.4%
Lowercase Letter 2
 
0.2%
Other Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
2.8%
원 21
 
2.4%
탕 20
 
2.3%
수 18
 
2.1%
성 17
 
2.0%
트 16
 
1.9%
장 16
 
1.9%
구 15
 
1.7%
사 15
 
1.7%
동 14
 
1.6%
Other values (202) 687
79.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
20.0%
K 3
20.0%
T 3
20.0%
C 2
13.3%
W 1
 
6.7%
O 1
 
6.7%
H 1
 
6.7%
R 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 7
33.3%
6 5
23.8%
1 4
19.0%
4 3
14.3%
5 1
 
4.8%
9 1
 
4.8%
Other Number
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 863
84.9%
Common 136
 
13.4%
Latin 17
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
2.8%
원 21
 
2.4%
탕 20
 
2.3%
수 18
 
2.1%
성 17
 
2.0%
트 16
 
1.9%
장 16
 
1.9%
구 15
 
1.7%
사 15
 
1.7%
동 14
 
1.6%
Other values (202) 687
79.6%
Common
ValueCountFrequency (%)
39
28.7%
( 35
25.7%
) 35
25.7%
2 7
 
5.1%
6 5
 
3.7%
1 4
 
2.9%
- 4
 
2.9%
4 3
 
2.2%
② 1
 
0.7%
① 1
 
0.7%
Other values (2) 2
 
1.5%
Latin
ValueCountFrequency (%)
S 3
17.6%
K 3
17.6%
T 3
17.6%
w 2
11.8%
C 2
11.8%
W 1
 
5.9%
O 1
 
5.9%
H 1
 
5.9%
R 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 863
84.9%
ASCII 151
 
14.9%
Enclosed Alphanum 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
25.8%
( 35
23.2%
) 35
23.2%
2 7
 
4.6%
6 5
 
3.3%
1 4
 
2.6%
- 4
 
2.6%
S 3
 
2.0%
K 3
 
2.0%
T 3
 
2.0%
Other values (9) 13
 
8.6%
Hangul
ValueCountFrequency (%)
주 24
 
2.8%
원 21
 
2.4%
탕 20
 
2.3%
수 18
 
2.1%
성 17
 
2.0%
트 16
 
1.9%
장 16
 
1.9%
구 15
 
1.7%
사 15
 
1.7%
동 14
 
1.6%
Other values (202) 687
79.6%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%

최종수정일자
Date

Distinct132
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2005-06-22 00:00:00
Maximum2024-02-19 15:35:10
2024-05-11T14:24:14.093445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:24:14.340472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
77 
U
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 77
56.6%
U 59
43.4%

Length

2024-05-11T14:24:14.594553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:14.872334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 77
56.6%
u 59
43.4%

데이터갱신일자
Categorical

Distinct33
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
62 
2022-12-01 22:04:00.0
7 
2022-12-02 22:06:00.0
7 
2021-07-11 02:40:00.0
 
5
2022-12-02 00:04:00.0
 
5
Other values (28)
50 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)10.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2021-11-04 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 62
45.6%
2022-12-01 22:04:00.0 7
 
5.1%
2022-12-02 22:06:00.0 7
 
5.1%
2021-07-11 02:40:00.0 5
 
3.7%
2022-12-02 00:04:00.0 5
 
3.7%
2022-12-01 23:05:00.0 4
 
2.9%
2021-01-14 02:40:00.0 4
 
2.9%
2019-02-19 02:40:00.0 3
 
2.2%
2021-11-04 02:40:00.0 3
 
2.2%
2022-12-01 23:07:00.0 3
 
2.2%
Other values (23) 33
24.3%

Length

2024-05-11T14:24:15.081636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 62
22.8%
23:59:59.0 62
22.8%
02:40:00.0 29
10.7%
2022-12-01 14
 
5.1%
2022-12-02 13
 
4.8%
22:04:00.0 7
 
2.6%
22:06:00.0 7
 
2.6%
2021-07-11 5
 
1.8%
00:04:00.0 5
 
1.8%
23:05:00.0 4
 
1.5%
Other values (32) 64
23.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing136
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)93.3%
Missing46
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean194696.93
Minimum191376.6
Maximum198237.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:15.316317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191376.6
5-th percentile192234.35
Q1193725.3
median194453.25
Q3195776.92
95-th percentile197693.68
Maximum198237.11
Range6860.5075
Interquartile range (IQR)2051.6216

Descriptive statistics

Standard deviation1581.2604
Coefficient of variation (CV)0.0081216506
Kurtosis-0.33503321
Mean194696.93
Median Absolute Deviation (MAD)974.38362
Skewness0.29727002
Sum17522723
Variance2500384.5
MonotonicityNot monotonic
2024-05-11T14:24:15.553813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193957.944323928 3
 
2.2%
194486.270488664 2
 
1.5%
194522.049808726 2
 
1.5%
195642.146052021 2
 
1.5%
194442.312667262 2
 
1.5%
194118.715549006 1
 
0.7%
193773.070404044 1
 
0.7%
191689.729417069 1
 
0.7%
193333.780074945 1
 
0.7%
194862.700116081 1
 
0.7%
Other values (74) 74
54.4%
(Missing) 46
33.8%
ValueCountFrequency (%)
191376.602183978 1
0.7%
191689.729417069 1
0.7%
192081.948285325 1
0.7%
192174.723909669 1
0.7%
192221.284006412 1
0.7%
192250.323983074 1
0.7%
192264.922850068 1
0.7%
192342.519273529 1
0.7%
192350.043582859 1
0.7%
192581.162594344 1
0.7%
ValueCountFrequency (%)
198237.109694788 1
0.7%
198219.957648914 1
0.7%
198003.771717802 1
0.7%
197926.77451376 1
0.7%
197854.313569708 1
0.7%
197497.341047583 1
0.7%
197132.819456016 1
0.7%
197013.912489955 1
0.7%
196996.226327062 1
0.7%
196781.670032704 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)93.3%
Missing46
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean441679.71
Minimum439342.72
Maximum443440.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:15.800156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439342.72
5-th percentile439699.15
Q1441270.99
median441762.58
Q3442262.4
95-th percentile443037.61
Maximum443440.79
Range4098.0733
Interquartile range (IQR)991.40496

Descriptive statistics

Standard deviation872.6723
Coefficient of variation (CV)0.0019758035
Kurtosis0.45158615
Mean441679.71
Median Absolute Deviation (MAD)501.86994
Skewness-0.6041085
Sum39751174
Variance761556.95
MonotonicityNot monotonic
2024-05-11T14:24:16.011023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441437.774867372 3
 
2.2%
442632.469540589 2
 
1.5%
439699.15126408 2
 
1.5%
441787.259790651 2
 
1.5%
443037.613095753 2
 
1.5%
441266.679363443 1
 
0.7%
442270.419248856 1
 
0.7%
442085.49445418 1
 
0.7%
442424.469410091 1
 
0.7%
442299.335270658 1
 
0.7%
Other values (74) 74
54.4%
(Missing) 46
33.8%
ValueCountFrequency (%)
439342.71569459 1
0.7%
439494.442583259 1
0.7%
439635.028158557 1
0.7%
439651.303121575 1
0.7%
439699.15126408 2
1.5%
440354.950869445 1
0.7%
440401.156603483 1
0.7%
440656.889284782 1
0.7%
440685.11304384 1
0.7%
440706.333788357 1
0.7%
ValueCountFrequency (%)
443440.789010155 1
0.7%
443286.886265793 1
0.7%
443151.561302292 1
0.7%
443047.432222491 1
0.7%
443037.613095753 2
1.5%
442909.25577249 1
0.7%
442728.778918512 1
0.7%
442660.57353456 1
0.7%
442634.637807737 1
0.7%
442632.469540589 2
1.5%

비상시설위치
Text

MISSING 

Distinct86
Distinct (%)94.5%
Missing45
Missing (%)33.1%
Memory size1.2 KiB
2024-05-11T14:24:16.505726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.956044
Min length18

Characters and Unicode

Total characters2180
Distinct characters36
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

Unique81 ?
Unique (%)89.0%

Sample

1st row서울특별시 관악구 신림동 1418번지 1호
2nd row서울특별시 관악구 신림동 745번지
3rd row서울특별시 관악구 신림동 599번지 21호
4th row서울특별시 관악구 신림동 1640번지 1 호
5th row서울특별시 관악구 봉천동 635번지 457호
ValueCountFrequency (%)
서울특별시 91
19.4%
관악구 91
19.4%
봉천동 44
 
9.4%
신림동 39
 
8.3%
호 23
 
4.9%
5호 6
 
1.3%
21호 5
 
1.1%
남현동 5
 
1.1%
1호 5
 
1.1%
1 4
 
0.9%
Other values (121) 156
33.3%
2024-05-11T14:24:17.252325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
487
22.3%
서 91
 
4.2%
악 91
 
4.2%
울 91
 
4.2%
1 91
 
4.2%
구 91
 
4.2%
동 91
 
4.2%
관 91
 
4.2%
시 91
 
4.2%
별 91
 
4.2%
Other values (26) 874
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1264
58.0%
Space Separator 487
 
22.3%
Decimal Number 426
 
19.5%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 91
 
7.2%
악 91
 
7.2%
울 91
 
7.2%
구 91
 
7.2%
동 91
 
7.2%
관 91
 
7.2%
시 91
 
7.2%
별 91
 
7.2%
특 91
 
7.2%
번 88
 
7.0%
Other values (14) 357
28.2%
Decimal Number
ValueCountFrequency (%)
1 91
21.4%
5 51
12.0%
6 42
9.9%
7 42
9.9%
2 39
9.2%
4 39
9.2%
9 38
8.9%
3 30
 
7.0%
0 27
 
6.3%
8 27
 
6.3%
Space Separator
ValueCountFrequency (%)
487
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1264
58.0%
Common 916
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 91
 
7.2%
악 91
 
7.2%
울 91
 
7.2%
구 91
 
7.2%
동 91
 
7.2%
관 91
 
7.2%
시 91
 
7.2%
별 91
 
7.2%
특 91
 
7.2%
번 88
 
7.0%
Other values (14) 357
28.2%
Common
ValueCountFrequency (%)
487
53.2%
1 91
 
9.9%
5 51
 
5.6%
6 42
 
4.6%
7 42
 
4.6%
2 39
 
4.3%
4 39
 
4.3%
9 38
 
4.1%
3 30
 
3.3%
0 27
 
2.9%
Other values (2) 30
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1264
58.0%
ASCII 916
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
487
53.2%
1 91
 
9.9%
5 51
 
5.6%
6 42
 
4.6%
7 42
 
4.6%
2 39
 
4.3%
4 39
 
4.3%
9 38
 
4.1%
3 30
 
3.3%
0 27
 
2.9%
Other values (2) 30
 
3.3%
Hangul
ValueCountFrequency (%)
서 91
 
7.2%
악 91
 
7.2%
울 91
 
7.2%
구 91
 
7.2%
동 91
 
7.2%
관 91
 
7.2%
시 91
 
7.2%
별 91
 
7.2%
특 91
 
7.2%
번 88
 
7.0%
Other values (14) 357
28.2%

시설구분명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
민간시설
76 
<NA>
45 
공공시설
11 
자치단체자체시설
 
3
정부지원시설
 
1

Length

Max length8
Median length4
Mean length4.1029412
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row정부지원시설
2nd row민간시설
3rd row민간시설
4th row공공시설
5th row공공시설

Common Values

ValueCountFrequency (%)
민간시설 76
55.9%
<NA> 45
33.1%
공공시설 11
 
8.1%
자치단체자체시설 3
 
2.2%
정부지원시설 1
 
0.7%

Length

2024-05-11T14:24:17.491897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:24:17.692509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 76
55.9%
na 45
33.1%
공공시설 11
 
8.1%
자치단체자체시설 3
 
2.2%
정부지원시설 1
 
0.7%

시설명_건물명
Text

MISSING 

Distinct88
Distinct (%)96.7%
Missing45
Missing (%)33.1%
Memory size1.2 KiB
2024-05-11T14:24:17.968431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.9230769
Min length3

Characters and Unicode

Total characters630
Distinct characters182
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

Unique85 ?
Unique (%)93.4%

Sample

1st row제1어린이공원 비상급수시설
2nd row가정용(윤복례)
3rd row이천섭
4th row신림역
5th row로마아파트
ValueCountFrequency (%)
비상급수시설 3
 
2.8%
태화탕 2
 
1.9%
용주사 2
 
1.9%
청수탕 2
 
1.9%
제일목욕탕 2
 
1.9%
우정탕(김중구 1
 
0.9%
약수터 1
 
0.9%
제2광장 1
 
0.9%
제1어린이공원 1
 
0.9%
우성빌딩 1
 
0.9%
Other values (92) 92
85.2%
2024-05-11T14:24:18.518784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 25
 
4.0%
( 25
 
4.0%
탕 18
 
2.9%
17
 
2.7%
수 14
 
2.2%
원 13
 
2.1%
사 13
 
2.1%
주 12
 
1.9%
성 10
 
1.6%
파 9
 
1.4%
Other values (172) 474
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
84.6%
Close Punctuation 25
 
4.0%
Open Punctuation 25
 
4.0%
Space Separator 17
 
2.7%
Decimal Number 17
 
2.7%
Uppercase Letter 7
 
1.1%
Dash Punctuation 4
 
0.6%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 18
 
3.4%
수 14
 
2.6%
원 13
 
2.4%
사 13
 
2.4%
주 12
 
2.3%
성 10
 
1.9%
파 9
 
1.7%
유 9
 
1.7%
대 9
 
1.7%
빌 9
 
1.7%
Other values (156) 417
78.2%
Decimal Number
ValueCountFrequency (%)
6 5
29.4%
2 4
23.5%
1 4
23.5%
4 2
 
11.8%
5 1
 
5.9%
9 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
K 2
28.6%
T 2
28.6%
C 1
14.3%
R 1
14.3%
S 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
84.6%
Common 88
 
14.0%
Latin 9
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 18
 
3.4%
수 14
 
2.6%
원 13
 
2.4%
사 13
 
2.4%
주 12
 
2.3%
성 10
 
1.9%
파 9
 
1.7%
유 9
 
1.7%
대 9
 
1.7%
빌 9
 
1.7%
Other values (156) 417
78.2%
Common
ValueCountFrequency (%)
) 25
28.4%
( 25
28.4%
17
19.3%
6 5
 
5.7%
2 4
 
4.5%
1 4
 
4.5%
- 4
 
4.5%
4 2
 
2.3%
5 1
 
1.1%
9 1
 
1.1%
Latin
ValueCountFrequency (%)
K 2
22.2%
T 2
22.2%
w 2
22.2%
C 1
11.1%
R 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
84.6%
ASCII 97
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 25
25.8%
( 25
25.8%
17
17.5%
6 5
 
5.2%
2 4
 
4.1%
1 4
 
4.1%
- 4
 
4.1%
K 2
 
2.1%
T 2
 
2.1%
4 2
 
2.1%
Other values (6) 7
 
7.2%
Hangul
ValueCountFrequency (%)
탕 18
 
3.4%
수 14
 
2.6%
원 13
 
2.4%
사 13
 
2.4%
주 12
 
2.3%
성 10
 
1.9%
파 9
 
1.7%
유 9
 
1.7%
대 9
 
1.7%
빌 9
 
1.7%
Other values (156) 417
78.2%

해제일자
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)61.9%
Missing73
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean20115624
Minimum20031208
Maximum20211217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T14:24:18.739017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031208
5-th percentile20052150
Q120080619
median20110401
Q320160818
95-th percentile20210805
Maximum20211217
Range180009
Interquartile range (IQR)80199.5

Descriptive statistics

Standard deviation52906.299
Coefficient of variation (CV)0.0026301098
Kurtosis-0.97311191
Mean20115624
Median Absolute Deviation (MAD)39482
Skewness0.51816812
Sum1.2672843 × 109
Variance2.7990765 × 109
MonotonicityNot monotonic
2024-05-11T14:24:18.955860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20081128 5
 
3.7%
20111223 5
 
3.7%
20170728 4
 
2.9%
20061129 4
 
2.9%
20201228 3
 
2.2%
20140718 3
 
2.2%
20080825 2
 
1.5%
20060831 2
 
1.5%
20031208 2
 
1.5%
20211019 2
 
1.5%
Other values (29) 31
22.8%
(Missing) 73
53.7%
ValueCountFrequency (%)
20031208 2
1.5%
20050425 1
 
0.7%
20051222 1
 
0.7%
20060504 1
 
0.7%
20060809 1
 
0.7%
20060831 2
1.5%
20061129 4
2.9%
20070115 1
 
0.7%
20070919 1
 
0.7%
20080102 1
 
0.7%
ValueCountFrequency (%)
20211217 1
 
0.7%
20211019 2
1.5%
20210805 1
 
0.7%
20210803 1
 
0.7%
20201229 1
 
0.7%
20201228 3
2.2%
20180717 1
 
0.7%
20180314 2
1.5%
20170728 4
2.9%
20150909 1
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
032000003200000-E19760000119760101200504254취소/말소/만료/정지/중지19사용중지20050425<NA><NA><NA><NA>35<NA>서울특별시 관악구 신림동 1418번지 1호<NA><NA>제1어린이공원 비상급수시설2006-01-06 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 신림동 1418번지 1호정부지원시설제1어린이공원 비상급수시설20050425
132000003200000-E19790000119790101200904164취소/말소/만료/정지/중지19사용중지20090416<NA><NA><NA><NA>36<NA>서울특별시 관악구 신림동 745번지<NA><NA>가정용(윤복례)2011-06-28 16:05:46I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 신림동 745번지민간시설가정용(윤복례)20090416
232000003200000-E19790000219790101200811284취소/말소/만료/정지/중지19사용중지20081128<NA><NA><NA><NA>36<NA>서울특별시 관악구 신림동 599번지 21호<NA><NA>이천섭2008-12-17 17:03:19I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 신림동 599번지 21호민간시설이천섭20081128
332000003200000-E19800000119800101200807254취소/말소/만료/정지/중지19사용중지20080725<NA><NA><NA><NA>90<NA>서울특별시 관악구 신림동 1640번지 1 호<NA><NA>신림역2008-12-17 15:58:12I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 신림동 1640번지 1 호공공시설신림역20080725
432000003200000-E19800000219800101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>60<NA>서울특별시 관악구 봉천동 635번지 457호서울특별시 관악구 국회단지15길 39 (봉천동)151828로마아파트2021-11-02 09:04:20U2021-11-04 02:40:00.0<NA>194571.98478443047.432222서울특별시 관악구 봉천동 635번지 457호공공시설로마아파트<NA>
532000003200000-E19820000119820101201509094취소/말소/만료/정지/중지19사용중지20150909<NA><NA><NA><NA>80<NA>서울특별시 관악구 봉천동 951번지 25호서울특별시 관악구 은천로 28 (봉천동)151843봉일프라자(봉일사우나)2015-09-09 14:58:06I2018-08-31 23:59:59.0<NA>194486.270489442632.469541서울특별시 관악구 봉천동 951번지 25호민간시설봉일프라자(봉일사우나)20150909
632000003200000-E19850000119850101200611294취소/말소/만료/정지/중지19사용중지20061129<NA><NA><NA><NA>42<NA>서울특별시 관악구 봉천동 1638번지 20 호<NA><NA>새암유통2007-03-02 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 봉천동 1638번지 20 호민간시설새암유통20061129
732000003200000-E19860000119860101200807254취소/말소/만료/정지/중지19사용중지20080725<NA><NA><NA><NA>46<NA>서울특별시 관악구 봉천동 1598번지 7 호<NA><NA>청운고시원2008-12-17 15:57:30I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 봉천동 1598번지 7 호민간시설청운고시원20080725
832000003200000-E19860000219860101200608094취소/말소/만료/정지/중지19사용중지20060809<NA><NA><NA><NA>36<NA>서울특별시 관악구 신림동 1490번지 12 호<NA><NA>낙현교회2008-02-01 11:09:53I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 신림동 1490번지 12 호민간시설낙현교회20060809
932000003200000-E19860000319860101200808254취소/말소/만료/정지/중지19사용중지20080825<NA><NA><NA><NA>75<NA>서울특별시 관악구 신림동 566번지 9 호<NA><NA>삼보탕2008-08-25 14:40:52I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 관악구 신림동 566번지 9 호민간시설삼보탕20080825
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
12632000003200000-E2023000012023-02-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90<NA>서울특별시 관악구 신림동 산 61-3 동호인약수터서울특별시 관악구 대학18길 175, 동호인약수터 (신림동)08824동호인약수터2023-02-13 14:14:20I2022-12-01 23:05:00.0<NA>194522.049809439699.151264<NA><NA><NA><NA>
12732000003200000-E2023000022023-02-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80<NA>서울특별시 관악구 신림동 198 성주암서울특별시 관악구 관악산나들길 138, 성주암 (신림동)08825성주암2023-02-13 14:17:48I2022-12-01 23:05:00.0<NA>194861.009205439494.442583<NA><NA><NA><NA>
12832000003200000-E2023000032023-02-132023-05-314취소/말소/만료/정지/중지19사용중지2023-05-31<NA><NA><NA><NA>38<NA>서울특별시 관악구 신림동 306-14 삼성산 성령수녀원 기도원서울특별시 관악구 호암로18나길 35, 삼성산성령수녀회수녀원 (신림동)08821삼성산 성령수녀원 기도원2023-06-01 18:04:44U2022-12-06 00:03:00.0<NA>194030.479326440354.950869<NA><NA><NA><NA>
12932000003200000-E2023000042023-02-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 관악구 신림동 112-46 신림동충전소서울특별시 관악구 신림로 170, 신림동충전소 (신림동)08838(주)신림동충전소2023-02-13 14:23:17I2022-12-01 23:05:00.0<NA>194118.715549441266.679363<NA><NA><NA><NA>
13032000003200000-E2023000052023-02-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>409<NA>서울특별시 관악구 봉천동 951-26 봉일프라자서울특별시 관악구 은천로 28, 봉일스파랜드(제2공) (봉천동)08749봉일스파랜드(제2공)2023-02-13 14:26:58I2022-12-01 23:05:00.0<NA><NA><NA><NA><NA><NA><NA>
13132000003200000-E2023000062023-02-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>40<NA>서울특별시 관악구 신림동 721-2 건영아파트서울특별시 관악구 난곡로35길 28-5, 건영2차아파트 (신림동)08858건영2차아파트2023-02-15 10:09:49I2022-12-01 23:07:00.0<NA>192581.162594440966.750032<NA><NA><NA><NA>
13232000003200000-E2023000072023-02-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>36<NA>서울특별시 관악구 신림동 637-1서울특별시 관악구 난곡로24길 7, 월드식자재할인마트 (신림동)08856월드식자재할인마트2023-02-15 10:20:57I2022-12-01 23:07:00.0<NA>192893.347467440903.819639<NA><NA><NA><NA>
13332000003200000-E2023000082023-02-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>36<NA>서울특별시 관악구 봉천동 914-18 서울시민매장서울특별시 관악구 청룡2길 19, 봉천제일시장① (봉천동)08785봉천제일시장①2023-02-15 10:24:43I2022-12-01 23:07:00.0<NA>195079.261247442117.235537<NA><NA><NA><NA>
13432000003200000-E2023000092023-02-14<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>36<NA>서울특별시 관악구 봉천동 921-1서울특별시 관악구 청룡2길 29, 봉천제일시장② (봉천동)08785봉천제일시장②2024-02-19 15:35:10U2023-12-01 22:01:00.0<NA>195020.795348442124.115455<NA><NA><NA><NA>
13532000003200000-E2024000012024-01-082023-01-084취소/말소/만료/정지/중지19사용중지2023-01-08<NA><NA><NA><NA>90<NA>서울특별시 관악구 신림동 1694 신림현대아파트서울특별시 관악구 신림로29길 8 (신림동, 신림현대아파트)08845현대아파트2024-01-08 17:44:33I2023-11-30 23:00:00.0<NA>193957.944324441437.774867<NA><NA><NA><NA>