Overview

Dataset statistics

Number of variables44
Number of observations70
Missing cells658
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory376.9 B

Variable types

Categorical21
Text7
DateTime4
Unsupported7
Numeric4
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-18318/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
여성종사자수 is highly imbalanced (59.4%)Imbalance
영업장주변구분명 is highly imbalanced (62.5%)Imbalance
등급구분명 is highly imbalanced (57.0%)Imbalance
총인원 is highly imbalanced (62.9%)Imbalance
보증액 is highly imbalanced (62.9%)Imbalance
월세액 is highly imbalanced (62.9%)Imbalance
인허가취소일자 has 70 (100.0%) missing valuesMissing
폐업일자 has 29 (41.4%) missing valuesMissing
휴업시작일자 has 70 (100.0%) missing valuesMissing
휴업종료일자 has 70 (100.0%) missing valuesMissing
재개업일자 has 70 (100.0%) missing valuesMissing
전화번호 has 12 (17.1%) missing valuesMissing
소재지면적 has 3 (4.3%) missing valuesMissing
도로명주소 has 23 (32.9%) missing valuesMissing
도로명우편번호 has 23 (32.9%) missing valuesMissing
좌표정보(X) has 4 (5.7%) missing valuesMissing
좌표정보(Y) has 4 (5.7%) missing valuesMissing
남성종사자수 has 57 (81.4%) missing valuesMissing
다중이용업소여부 has 13 (18.6%) missing valuesMissing
전통업소지정번호 has 70 (100.0%) missing valuesMissing
전통업소주된음식 has 70 (100.0%) missing valuesMissing
홈페이지 has 70 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
남성종사자수 has 8 (11.4%) zerosZeros

Reproduction

Analysis started2024-04-06 13:41:09.283140
Analysis finished2024-04-06 13:41:09.791106
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
3160000
70 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 70
100.0%

Length

2024-04-06T22:41:09.840809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:09.919658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 70
100.0%

관리번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-06T22:41:10.063566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1540
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

Unique70 ?
Unique (%)100.0%

Sample

1st row3160000-114-1996-00270
2nd row3160000-114-1996-00271
3rd row3160000-114-1996-00272
4th row3160000-114-1998-00271
5th row3160000-114-1998-00474
ValueCountFrequency (%)
3160000-114-1996-00270 1
 
1.4%
3160000-114-2012-00002 1
 
1.4%
3160000-114-2014-00003 1
 
1.4%
3160000-114-2014-00002 1
 
1.4%
3160000-114-2014-00001 1
 
1.4%
3160000-114-2013-00003 1
 
1.4%
3160000-114-2013-00002 1
 
1.4%
3160000-114-2015-00004 1
 
1.4%
3160000-114-2012-00001 1
 
1.4%
3160000-114-2014-00005 1
 
1.4%
Other values (60) 60
85.7%
2024-04-06T22:41:10.339783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 624
40.5%
1 281
18.2%
- 210
 
13.6%
2 101
 
6.6%
4 89
 
5.8%
3 88
 
5.7%
6 79
 
5.1%
9 27
 
1.8%
7 18
 
1.2%
5 13
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1330
86.4%
Dash Punctuation 210
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 624
46.9%
1 281
21.1%
2 101
 
7.6%
4 89
 
6.7%
3 88
 
6.6%
6 79
 
5.9%
9 27
 
2.0%
7 18
 
1.4%
5 13
 
1.0%
8 10
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 624
40.5%
1 281
18.2%
- 210
 
13.6%
2 101
 
6.6%
4 89
 
5.8%
3 88
 
5.7%
6 79
 
5.1%
9 27
 
1.8%
7 18
 
1.2%
5 13
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 624
40.5%
1 281
18.2%
- 210
 
13.6%
2 101
 
6.6%
4 89
 
5.8%
3 88
 
5.7%
6 79
 
5.1%
9 27
 
1.8%
7 18
 
1.2%
5 13
 
0.8%

인허가일자
Date

Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum1996-06-25 00:00:00
Maximum2024-03-28 00:00:00
2024-04-06T22:41:10.687386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:41:10.803167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
41 
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 41
58.6%
1 29
41.4%

Length

2024-04-06T22:41:10.911766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:11.001497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 41
58.6%
1 29
41.4%

영업상태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
41 
영업/정상
29 

Length

Max length5
Median length2
Mean length3.2428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 41
58.6%
영업/정상 29
41.4%

Length

2024-04-06T22:41:11.092356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:11.186632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
58.6%
영업/정상 29
41.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
2
41 
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 41
58.6%
1 29
41.4%

Length

2024-04-06T22:41:11.274356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:11.359222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 41
58.6%
1 29
41.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
41 
영업
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업
4th row영업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 41
58.6%
영업 29
41.4%

Length

2024-04-06T22:41:11.448679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:11.530914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 41
58.6%
영업 29
41.4%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)97.6%
Missing29
Missing (%)41.4%
Memory size692.0 B
Minimum2000-01-13 00:00:00
Maximum2023-05-19 00:00:00
2024-04-06T22:41:11.620013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:41:11.735868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

전화번호
Text

MISSING 

Distinct57
Distinct (%)98.3%
Missing12
Missing (%)17.1%
Memory size692.0 B
2024-04-06T22:41:11.918726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.310345
Min length2

Characters and Unicode

Total characters598
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

Unique56 ?
Unique (%)96.6%

Sample

1st row02 0 0
2nd row26192471
3rd row02 8672717
4th row02
5th row02 6887788
ValueCountFrequency (%)
02 37
35.6%
8669333 2
 
1.9%
26256925 2
 
1.9%
0 2
 
1.9%
8537495 2
 
1.9%
26842013 2
 
1.9%
0553 1
 
1.0%
26121991 1
 
1.0%
26850008 1
 
1.0%
0222110795 1
 
1.0%
Other values (53) 53
51.0%
2024-04-06T22:41:12.211122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 111
18.6%
0 105
17.6%
72
12.0%
6 64
10.7%
1 52
8.7%
8 48
8.0%
5 44
 
7.4%
9 33
 
5.5%
3 33
 
5.5%
7 24
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 526
88.0%
Space Separator 72
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 111
21.1%
0 105
20.0%
6 64
12.2%
1 52
9.9%
8 48
9.1%
5 44
 
8.4%
9 33
 
6.3%
3 33
 
6.3%
7 24
 
4.6%
4 12
 
2.3%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 111
18.6%
0 105
17.6%
72
12.0%
6 64
10.7%
1 52
8.7%
8 48
8.0%
5 44
 
7.4%
9 33
 
5.5%
3 33
 
5.5%
7 24
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 111
18.6%
0 105
17.6%
72
12.0%
6 64
10.7%
1 52
8.7%
8 48
8.0%
5 44
 
7.4%
9 33
 
5.5%
3 33
 
5.5%
7 24
 
4.0%

소재지면적
Text

MISSING 

Distinct60
Distinct (%)89.6%
Missing3
Missing (%)4.3%
Memory size692.0 B
2024-04-06T22:41:12.419877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.4626866
Min length3

Characters and Unicode

Total characters433
Distinct characters12
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

Unique54 ?
Unique (%)80.6%

Sample

1st row.00
2nd row644.00
3rd row508.00
4th row.00
5th row1,269.09
ValueCountFrequency (%)
00 3
 
4.5%
646.70 2
 
3.0%
348.50 2
 
3.0%
342.00 2
 
3.0%
1,269.09 2
 
3.0%
750.00 2
 
3.0%
851.90 1
 
1.5%
862.04 1
 
1.5%
581.41 1
 
1.5%
396.00 1
 
1.5%
Other values (50) 50
74.6%
2024-04-06T22:41:12.735694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 101
23.3%
. 67
15.5%
4 35
 
8.1%
3 35
 
8.1%
2 35
 
8.1%
5 29
 
6.7%
8 27
 
6.2%
6 26
 
6.0%
1 26
 
6.0%
9 18
 
4.2%
Other values (2) 34
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 349
80.6%
Other Punctuation 84
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 101
28.9%
4 35
 
10.0%
3 35
 
10.0%
2 35
 
10.0%
5 29
 
8.3%
8 27
 
7.7%
6 26
 
7.4%
1 26
 
7.4%
9 18
 
5.2%
7 17
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 67
79.8%
, 17
 
20.2%

Most occurring scripts

ValueCountFrequency (%)
Common 433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 101
23.3%
. 67
15.5%
4 35
 
8.1%
3 35
 
8.1%
2 35
 
8.1%
5 29
 
6.7%
8 27
 
6.2%
6 26
 
6.0%
1 26
 
6.0%
9 18
 
4.2%
Other values (2) 34
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 101
23.3%
. 67
15.5%
4 35
 
8.1%
3 35
 
8.1%
2 35
 
8.1%
5 29
 
6.7%
8 27
 
6.2%
6 26
 
6.0%
1 26
 
6.0%
9 18
 
4.2%
Other values (2) 34
 
7.9%

소재지우편번호
Text

Distinct43
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-06T22:41:12.930146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1428571
Min length6

Characters and Unicode

Total characters430
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

Unique27 ?
Unique (%)38.6%

Sample

1st row152846
2nd row152827
3rd row152812
4th row152868
5th row152831
ValueCountFrequency (%)
152815 4
 
5.7%
152826 4
 
5.7%
152800 4
 
5.7%
152894 4
 
5.7%
152836 4
 
5.7%
152868 3
 
4.3%
152-887 2
 
2.9%
152809 2
 
2.9%
152-800 2
 
2.9%
152827 2
 
2.9%
Other values (33) 39
55.7%
2024-04-06T22:41:13.219414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 86
20.0%
2 82
19.1%
5 80
18.6%
8 76
17.7%
0 25
 
5.8%
6 22
 
5.1%
7 14
 
3.3%
3 13
 
3.0%
4 12
 
2.8%
9 10
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
97.7%
Dash Punctuation 10
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
20.5%
2 82
19.5%
5 80
19.0%
8 76
18.1%
0 25
 
6.0%
6 22
 
5.2%
7 14
 
3.3%
3 13
 
3.1%
4 12
 
2.9%
9 10
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 86
20.0%
2 82
19.1%
5 80
18.6%
8 76
17.7%
0 25
 
5.8%
6 22
 
5.1%
7 14
 
3.3%
3 13
 
3.0%
4 12
 
2.8%
9 10
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 86
20.0%
2 82
19.1%
5 80
18.6%
8 76
17.7%
0 25
 
5.8%
6 22
 
5.1%
7 14
 
3.3%
3 13
 
3.0%
4 12
 
2.8%
9 10
 
2.3%

지번주소
Text

Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-06T22:41:13.416061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length38
Mean length27.557143
Min length16

Characters and Unicode

Total characters1929
Distinct characters120
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

Unique64 ?
Unique (%)91.4%

Sample

1st row서울특별시 구로구 구로동 144-4
2nd row서울특별시 구로구 고척동 94-7
3rd row서울특별시 구로구 개봉동 290-1
4th row서울특별시 구로구 구로동 685-215 지하1층
5th row서울특별시 구로구 고척동 190-2 152
ValueCountFrequency (%)
서울특별시 70
19.7%
구로구 70
19.7%
구로동 20
 
5.6%
개봉동 15
 
4.2%
고척동 14
 
3.9%
1층 9
 
2.5%
지하1층 8
 
2.2%
신도림동 7
 
2.0%
가리봉동 6
 
1.7%
오류동 5
 
1.4%
Other values (103) 132
37.1%
2024-04-06T22:41:13.740057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
17.7%
구 163
 
8.4%
로 96
 
5.0%
1 95
 
4.9%
동 76
 
3.9%
시 74
 
3.8%
서 71
 
3.7%
특 70
 
3.6%
별 70
 
3.6%
울 70
 
3.6%
Other values (110) 802
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1058
54.8%
Decimal Number 404
 
20.9%
Space Separator 342
 
17.7%
Dash Punctuation 67
 
3.5%
Other Punctuation 16
 
0.8%
Uppercase Letter 14
 
0.7%
Close Punctuation 13
 
0.7%
Open Punctuation 13
 
0.7%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 163
15.4%
로 96
 
9.1%
동 76
 
7.2%
시 74
 
7.0%
서 71
 
6.7%
특 70
 
6.6%
별 70
 
6.6%
울 70
 
6.6%
층 27
 
2.6%
지 23
 
2.2%
Other values (87) 318
30.1%
Decimal Number
ValueCountFrequency (%)
1 95
23.5%
3 45
11.1%
2 42
10.4%
0 38
 
9.4%
4 34
 
8.4%
5 33
 
8.2%
6 33
 
8.2%
8 31
 
7.7%
9 28
 
6.9%
7 25
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 7
50.0%
S 2
 
14.3%
K 2
 
14.3%
C 1
 
7.1%
N 1
 
7.1%
F 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 15
93.8%
. 1
 
6.2%
Space Separator
ValueCountFrequency (%)
342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1058
54.8%
Common 857
44.4%
Latin 14
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 163
15.4%
로 96
 
9.1%
동 76
 
7.2%
시 74
 
7.0%
서 71
 
6.7%
특 70
 
6.6%
별 70
 
6.6%
울 70
 
6.6%
층 27
 
2.6%
지 23
 
2.2%
Other values (87) 318
30.1%
Common
ValueCountFrequency (%)
342
39.9%
1 95
 
11.1%
- 67
 
7.8%
3 45
 
5.3%
2 42
 
4.9%
0 38
 
4.4%
4 34
 
4.0%
5 33
 
3.9%
6 33
 
3.9%
8 31
 
3.6%
Other values (7) 97
 
11.3%
Latin
ValueCountFrequency (%)
B 7
50.0%
S 2
 
14.3%
K 2
 
14.3%
C 1
 
7.1%
N 1
 
7.1%
F 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1058
54.8%
ASCII 869
45.0%
CJK Compat 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
342
39.4%
1 95
 
10.9%
- 67
 
7.7%
3 45
 
5.2%
2 42
 
4.8%
0 38
 
4.4%
4 34
 
3.9%
5 33
 
3.8%
6 33
 
3.8%
8 31
 
3.6%
Other values (12) 109
 
12.5%
Hangul
ValueCountFrequency (%)
구 163
15.4%
로 96
 
9.1%
동 76
 
7.2%
시 74
 
7.0%
서 71
 
6.7%
특 70
 
6.6%
별 70
 
6.6%
울 70
 
6.6%
층 27
 
2.6%
지 23
 
2.2%
Other values (87) 318
30.1%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

도로명주소
Text

MISSING 

Distinct45
Distinct (%)95.7%
Missing23
Missing (%)32.9%
Memory size692.0 B
2024-04-06T22:41:13.965399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length44
Mean length35.404255
Min length23

Characters and Unicode

Total characters1664
Distinct characters120
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

Unique43 ?
Unique (%)91.5%

Sample

1st row서울특별시 구로구 개봉로 8-14 (개봉동)
2nd row서울특별시 구로구 구일로4길 33 (구로동,지하1층)
3rd row서울특별시 구로구 경인로40길 47 (개봉동,개봉전철역사 4층)
4th row서울특별시 구로구 디지털로32길 43 (구로동)
5th row서울특별시 구로구 경인로 643 (신도림동,신도림동아2차아파트상가 103,104호)
ValueCountFrequency (%)
서울특별시 47
 
16.3%
구로구 47
 
16.3%
1층 12
 
4.2%
경인로 11
 
3.8%
개봉동 9
 
3.1%
구로동 7
 
2.4%
신도림동 5
 
1.7%
오류동 5
 
1.7%
구로동로 4
 
1.4%
구로중앙로 4
 
1.4%
Other values (107) 137
47.6%
2024-04-06T22:41:14.278216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
 
14.5%
구 120
 
7.2%
로 119
 
7.2%
1 75
 
4.5%
, 60
 
3.6%
동 55
 
3.3%
) 54
 
3.2%
( 54
 
3.2%
시 49
 
2.9%
서 48
 
2.9%
Other values (110) 789
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 930
55.9%
Decimal Number 290
 
17.4%
Space Separator 241
 
14.5%
Other Punctuation 61
 
3.7%
Close Punctuation 54
 
3.2%
Open Punctuation 54
 
3.2%
Dash Punctuation 17
 
1.0%
Uppercase Letter 15
 
0.9%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 120
 
12.9%
로 119
 
12.8%
동 55
 
5.9%
시 49
 
5.3%
서 48
 
5.2%
특 47
 
5.1%
별 47
 
5.1%
울 47
 
5.1%
층 27
 
2.9%
길 22
 
2.4%
Other values (87) 349
37.5%
Decimal Number
ValueCountFrequency (%)
1 75
25.9%
2 36
12.4%
3 33
11.4%
4 30
 
10.3%
0 24
 
8.3%
7 21
 
7.2%
6 19
 
6.6%
9 18
 
6.2%
5 18
 
6.2%
8 16
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 8
53.3%
K 2
 
13.3%
S 2
 
13.3%
C 1
 
6.7%
N 1
 
6.7%
F 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 60
98.4%
. 1
 
1.6%
Space Separator
ValueCountFrequency (%)
241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 930
55.9%
Common 719
43.2%
Latin 15
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 120
 
12.9%
로 119
 
12.8%
동 55
 
5.9%
시 49
 
5.3%
서 48
 
5.2%
특 47
 
5.1%
별 47
 
5.1%
울 47
 
5.1%
층 27
 
2.9%
길 22
 
2.4%
Other values (87) 349
37.5%
Common
ValueCountFrequency (%)
241
33.5%
1 75
 
10.4%
, 60
 
8.3%
) 54
 
7.5%
( 54
 
7.5%
2 36
 
5.0%
3 33
 
4.6%
4 30
 
4.2%
0 24
 
3.3%
7 21
 
2.9%
Other values (7) 91
 
12.7%
Latin
ValueCountFrequency (%)
B 8
53.3%
K 2
 
13.3%
S 2
 
13.3%
C 1
 
6.7%
N 1
 
6.7%
F 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 930
55.9%
ASCII 732
44.0%
CJK Compat 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
32.9%
1 75
 
10.2%
, 60
 
8.2%
) 54
 
7.4%
( 54
 
7.4%
2 36
 
4.9%
3 33
 
4.5%
4 30
 
4.1%
0 24
 
3.3%
7 21
 
2.9%
Other values (12) 104
14.2%
Hangul
ValueCountFrequency (%)
구 120
 
12.9%
로 119
 
12.8%
동 55
 
5.9%
시 49
 
5.3%
서 48
 
5.2%
특 47
 
5.1%
별 47
 
5.1%
울 47
 
5.1%
층 27
 
2.9%
길 22
 
2.4%
Other values (87) 349
37.5%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)68.1%
Missing23
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean8286.4894
Minimum8202
Maximum8385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-06T22:41:14.388013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8202
5-th percentile8208
Q18231.5
median8282
Q38328
95-th percentile8383.2
Maximum8385
Range183
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation56.010431
Coefficient of variation (CV)0.0067592473
Kurtosis-1.0063137
Mean8286.4894
Median Absolute Deviation (MAD)49
Skewness0.13967108
Sum389465
Variance3137.1684
MonotonicityNot monotonic
2024-04-06T22:41:14.504344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
8271 4
 
5.7%
8276 3
 
4.3%
8385 3
 
4.3%
8209 3
 
4.3%
8230 2
 
2.9%
8328 2
 
2.9%
8353 2
 
2.9%
8292 2
 
2.9%
8293 2
 
2.9%
8208 2
 
2.9%
Other values (22) 22
31.4%
(Missing) 23
32.9%
ValueCountFrequency (%)
8202 1
 
1.4%
8203 1
 
1.4%
8208 2
2.9%
8209 3
4.3%
8218 1
 
1.4%
8226 1
 
1.4%
8227 1
 
1.4%
8230 2
2.9%
8233 1
 
1.4%
8247 1
 
1.4%
ValueCountFrequency (%)
8385 3
4.3%
8379 1
 
1.4%
8368 1
 
1.4%
8366 1
 
1.4%
8353 2
2.9%
8342 1
 
1.4%
8337 1
 
1.4%
8334 1
 
1.4%
8328 2
2.9%
8324 1
 
1.4%

사업장명
Text

Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-06T22:41:14.701796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.7571429
Min length3

Characters and Unicode

Total characters613
Distinct characters147
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)92.9%

Sample

1st row해태유통구로영업소
2nd row해태유통개봉영업소
3rd row(주)경기마트 개봉
4th row구일쇼핑센타
5th row진로마트
ValueCountFrequency (%)
진로마트 3
 
3.3%
주)이마트에브리데이 3
 
3.3%
구로점 3
 
3.3%
신대우마트 2
 
2.2%
주식회사 2
 
2.2%
신세기마트 2
 
2.2%
영등포농협 1
 
1.1%
정빈유통 1
 
1.1%
엠엔케이모드니유통 1
 
1.1%
웰빙마트 1
 
1.1%
Other values (71) 71
78.9%
2024-04-06T22:41:15.022660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 49
 
8.0%
마 48
 
7.8%
주 28
 
4.6%
( 26
 
4.2%
) 26
 
4.2%
점 25
 
4.1%
20
 
3.3%
로 20
 
3.3%
이 18
 
2.9%
구 14
 
2.3%
Other values (137) 339
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
85.6%
Open Punctuation 26
 
4.2%
Close Punctuation 26
 
4.2%
Space Separator 20
 
3.3%
Uppercase Letter 9
 
1.5%
Decimal Number 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 49
 
9.3%
마 48
 
9.1%
주 28
 
5.3%
점 25
 
4.8%
로 20
 
3.8%
이 18
 
3.4%
구 14
 
2.7%
신 10
 
1.9%
스 10
 
1.9%
데 9
 
1.7%
Other values (120) 294
56.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
11.1%
C 1
11.1%
N 1
11.1%
G 1
11.1%
I 1
11.1%
B 1
11.1%
U 1
11.1%
R 1
11.1%
T 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
4 1
14.3%
8 1
14.3%
5 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
85.6%
Common 79
 
12.9%
Latin 9
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 49
 
9.3%
마 48
 
9.1%
주 28
 
5.3%
점 25
 
4.8%
로 20
 
3.8%
이 18
 
3.4%
구 14
 
2.7%
신 10
 
1.9%
스 10
 
1.9%
데 9
 
1.7%
Other values (120) 294
56.0%
Latin
ValueCountFrequency (%)
S 1
11.1%
C 1
11.1%
N 1
11.1%
G 1
11.1%
I 1
11.1%
B 1
11.1%
U 1
11.1%
R 1
11.1%
T 1
11.1%
Common
ValueCountFrequency (%)
( 26
32.9%
) 26
32.9%
20
25.3%
1 2
 
2.5%
0 2
 
2.5%
4 1
 
1.3%
8 1
 
1.3%
5 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
85.6%
ASCII 88
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 49
 
9.3%
마 48
 
9.1%
주 28
 
5.3%
점 25
 
4.8%
로 20
 
3.8%
이 18
 
3.4%
구 14
 
2.7%
신 10
 
1.9%
스 10
 
1.9%
데 9
 
1.7%
Other values (120) 294
56.0%
ASCII
ValueCountFrequency (%)
( 26
29.5%
) 26
29.5%
20
22.7%
1 2
 
2.3%
0 2
 
2.3%
S 1
 
1.1%
4 1
 
1.1%
C 1
 
1.1%
N 1
 
1.1%
G 1
 
1.1%
Other values (7) 7
 
8.0%

최종수정일자
Date

Distinct63
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2000-04-11 00:00:00
Maximum2024-03-28 16:39:39
2024-04-06T22:41:15.140495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:41:15.258718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
I
41 
U
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 41
58.6%
U 29
41.4%

Length

2024-04-06T22:41:15.373350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:15.456357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 41
58.6%
u 29
41.4%

데이터갱신일자
Date

Distinct33
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:01:00
2024-04-06T22:41:15.540661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:41:15.648468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
기타식품판매업
70 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 70
100.0%

Length

2024-04-06T22:41:15.755977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:15.838756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 70
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)63.6%
Missing4
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean188257.36
Minimum184428.29
Maximum190901.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-06T22:41:15.927274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184428.29
5-th percentile186015.74
Q1187151.15
median187826.7
Q3189809.34
95-th percentile190166.86
Maximum190901.98
Range6473.6926
Interquartile range (IQR)2658.1857

Descriptive statistics

Standard deviation1605.2705
Coefficient of variation (CV)0.008527
Kurtosis-0.89133011
Mean188257.36
Median Absolute Deviation (MAD)1704.2836
Skewness-0.32447107
Sum12424986
Variance2576893.3
MonotonicityNot monotonic
2024-04-06T22:41:16.041938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
186015.738369848 4
 
5.7%
189900.313832 4
 
5.7%
186968.288544829 3
 
4.3%
190107.045415333 3
 
4.3%
189682.799434964 3
 
4.3%
189570.360930049 3
 
4.3%
187532.10017459 2
 
2.9%
187397.345239796 2
 
2.9%
187798.86926511 2
 
2.9%
188669.484398215 2
 
2.9%
Other values (32) 38
54.3%
(Missing) 4
 
5.7%
ValueCountFrequency (%)
184428.285365466 1
 
1.4%
184501.677137723 1
 
1.4%
185549.67243269 1
 
1.4%
186015.738369848 4
5.7%
186121.713038657 1
 
1.4%
186317.561908721 1
 
1.4%
186769.616926353 2
2.9%
186968.288544829 3
4.3%
187009.804317689 2
2.9%
187151.14950035 2
2.9%
ValueCountFrequency (%)
190901.977946718 1
 
1.4%
190244.829015482 1
 
1.4%
190232.524534335 1
 
1.4%
190186.001622359 1
 
1.4%
190109.426112425 1
 
1.4%
190107.045415333 3
4.3%
190041.503416461 1
 
1.4%
190005.132500398 1
 
1.4%
189973.059793737 2
2.9%
189900.313832 4
5.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)63.6%
Missing4
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean443748.92
Minimum442140.9
Maximum445458.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-06T22:41:16.179024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442140.9
5-th percentile442493.8
Q1443173.23
median443657.61
Q3444336.05
95-th percentile445157.63
Maximum445458.34
Range3317.4328
Interquartile range (IQR)1162.8189

Descriptive statistics

Standard deviation876.71355
Coefficient of variation (CV)0.0019756973
Kurtosis-0.86056724
Mean443748.92
Median Absolute Deviation (MAD)678.43706
Skewness0.0069793609
Sum29287429
Variance768626.64
MonotonicityNot monotonic
2024-04-06T22:41:16.318435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
443657.614265375 4
 
5.7%
442495.532677644 4
 
5.7%
442651.907780511 3
 
4.3%
445157.626366229 3
 
4.3%
444193.860003095 3
 
4.3%
444336.051330144 3
 
4.3%
443629.732466344 2
 
2.9%
443554.300802564 2
 
2.9%
444629.704821749 2
 
2.9%
444010.738380277 2
 
2.9%
Other values (32) 38
54.3%
(Missing) 4
 
5.7%
ValueCountFrequency (%)
442140.902903834 1
 
1.4%
442170.357209786 1
 
1.4%
442466.813410528 1
 
1.4%
442493.802438612 2
2.9%
442495.532677644 4
5.7%
442651.907780511 3
4.3%
442678.332549373 1
 
1.4%
442693.827289476 1
 
1.4%
442913.388515795 1
 
1.4%
442962.309901807 1
 
1.4%
ValueCountFrequency (%)
445458.335742134 1
 
1.4%
445250.538868558 1
 
1.4%
445237.843405822 1
 
1.4%
445157.626366229 3
4.3%
445153.61016346 1
 
1.4%
444978.682746138 1
 
1.4%
444811.238193821 1
 
1.4%
444629.704821749 2
2.9%
444594.272084587 1
 
1.4%
444544.592000758 2
2.9%

위생업태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
기타식품판매업
57 
<NA>
13 

Length

Max length7
Median length7
Mean length6.4428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 57
81.4%
<NA> 13
 
18.6%

Length

2024-04-06T22:41:16.458616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:16.563786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 57
81.4%
na 13
 
18.6%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing57
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean1.6153846
Minimum0
Maximum10
Zeros8
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-06T22:41:16.661220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9591232
Coefficient of variation (CV)1.8318382
Kurtosis5.3010394
Mean1.6153846
Median Absolute Deviation (MAD)0
Skewness2.2690376
Sum21
Variance8.7564103
MonotonicityNot monotonic
2024-04-06T22:41:16.771946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 8
 
11.4%
1 1
 
1.4%
10 1
 
1.4%
5 1
 
1.4%
2 1
 
1.4%
3 1
 
1.4%
(Missing) 57
81.4%
ValueCountFrequency (%)
0 8
11.4%
1 1
 
1.4%
2 1
 
1.4%
3 1
 
1.4%
5 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
10 1
 
1.4%
5 1
 
1.4%
3 1
 
1.4%
2 1
 
1.4%
1 1
 
1.4%
0 8
11.4%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
57 
0
9 
10
 
2
3
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.4714286
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 57
81.4%
0 9
 
12.9%
10 2
 
2.9%
3 1
 
1.4%
4 1
 
1.4%

Length

2024-04-06T22:41:16.891859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:17.261974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
81.4%
0 9
 
12.9%
10 2
 
2.9%
3 1
 
1.4%
4 1
 
1.4%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
61 
주택가주변
 
4
기타
 
3
아파트지역
 
2

Length

Max length5
Median length4
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
87.1%
주택가주변 4
 
5.7%
기타 3
 
4.3%
아파트지역 2
 
2.9%

Length

2024-04-06T22:41:17.372433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:17.534769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
87.1%
주택가주변 4
 
5.7%
기타 3
 
4.3%
아파트지역 2
 
2.9%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
61 
기타
 
5
자율
 
4

Length

Max length4
Median length4
Mean length3.7428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
87.1%
기타 5
 
7.1%
자율 4
 
5.7%

Length

2024-04-06T22:41:17.654370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:17.748676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
87.1%
기타 5
 
7.1%
자율 4
 
5.7%

급수시설구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
57 
상수도전용
13 

Length

Max length5
Median length4
Mean length4.1857143
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> 57
81.4%
상수도전용 13
 
18.6%

Length

2024-04-06T22:41:17.843171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:17.929660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
81.4%
상수도전용 13
 
18.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
65 
0
 
5

Length

Max length4
Median length4
Mean length3.7857143
Min length1

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> 65
92.9%
0 5
 
7.1%

Length

2024-04-06T22:41:18.030424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:18.129832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
92.9%
0 5
 
7.1%

본사종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
39 
0
31 

Length

Max length4
Median length4
Mean length2.6714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
55.7%
0 31
44.3%

Length

2024-04-06T22:41:18.221980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:18.307471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
55.7%
0 31
44.3%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
39 
0
31 

Length

Max length4
Median length4
Mean length2.6714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
55.7%
0 31
44.3%

Length

2024-04-06T22:41:18.400054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:18.486047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
55.7%
0 31
44.3%

공장판매직종업원수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
38 
0
31 
10
 
1

Length

Max length4
Median length4
Mean length2.6428571
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
54.3%
0 31
44.3%
10 1
 
1.4%

Length

2024-04-06T22:41:18.581054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:18.676518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
54.3%
0 31
44.3%
10 1
 
1.4%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
39 
0
31 

Length

Max length4
Median length4
Mean length2.6714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
55.7%
0 31
44.3%

Length

2024-04-06T22:41:18.770145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:18.856383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
55.7%
0 31
44.3%

건물소유구분명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
39 
자가
18 
임대
13 

Length

Max length4
Median length4
Mean length3.1142857
Min length2

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> 39
55.7%
자가 18
25.7%
임대 13
 
18.6%

Length

2024-04-06T22:41:18.949341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:19.043950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
55.7%
자가 18
25.7%
임대 13
 
18.6%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
65 
0
 
5

Length

Max length4
Median length4
Mean length3.7857143
Min length1

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> 65
92.9%
0 5
 
7.1%

Length

2024-04-06T22:41:19.141109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:19.227108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
92.9%
0 5
 
7.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
65 
0
 
5

Length

Max length4
Median length4
Mean length3.7857143
Min length1

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> 65
92.9%
0 5
 
7.1%

Length

2024-04-06T22:41:19.319309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:19.406463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
92.9%
0 5
 
7.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.8%
Missing13
Missing (%)18.6%
Memory size272.0 B
False
57 
(Missing)
13 
ValueCountFrequency (%)
False 57
81.4%
(Missing) 13
 
18.6%
2024-04-06T22:41:19.475163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
0.0
56 
<NA>
13 
851.9
 
1

Length

Max length5
Median length3
Mean length3.2142857
Min length3

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 56
80.0%
<NA> 13
 
18.6%
851.9 1
 
1.4%

Length

2024-04-06T22:41:19.570378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:41:19.664628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 56
80.0%
na 13
 
18.6%
851.9 1
 
1.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

Sample

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631600003160000-114-1999-0028819990202<NA>3폐업2폐업20010604<NA><NA><NA>02 68877881,269.09152826서울특별시 구로구 고척동 73-3<NA><NA>(주)일이삼마트2002-09-19 00:00:00I2018-08-31 23:59:59.0기타식품판매업187826.698184443925.524686기타식품판매업10기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731600003160000-114-1999-0034819990614<NA>1영업/정상1영업<NA><NA><NA><NA>0226113300448.21152819서울특별시 구로구 개봉동 415-0 개봉전철역사 4층서울특별시 구로구 경인로40길 47 (개봉동,개봉전철역사 4층)8276개봉역프라자2018-07-11 11:35:25I2018-08-31 23:59:59.0기타식품판매업187525.339803443643.833214기타식품판매업1010기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831600003160000-114-1999-0034919990821<NA>1영업/정상1영업<NA><NA><NA><NA>02200912102,450.00152848서울특별시 구로구 구로동 188-26서울특별시 구로구 디지털로32길 43 (구로동)8379(주)이마트구로점2020-04-22 14:26:05U2020-04-24 02:40:00.0기타식품판매업190901.977947442466.813411기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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6031600003160000-114-2018-0000120181205<NA>1영업/정상1영업<NA><NA><NA><NA><NA>560.00152887서울특별시 구로구 신도림동 309-6 성광빌딩서울특별시 구로구 신도림로19길 7, 성광빌딩 지층 (신도림동)8202신도림마트2023-01-03 14:16:42U2022-12-01 00:05:00.0기타식품판매업189713.290388445458.335742<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6131600003160000-114-2019-0000120190924<NA>1영업/정상1영업<NA><NA><NA><NA><NA>.00152805서울특별시 구로구 개봉동 157-3서울특별시 구로구 경인로 319-7 (개봉동)8233주식회사 구로식자재마트2021-12-29 09:24:33U2021-12-31 02:40:00.0기타식품판매업187175.0057443963.913456기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
6231600003160000-114-2020-0000120200827<NA>1영업/정상1영업<NA><NA><NA><NA>080 500 50602,950.30152862서울특별시 구로구 구로동 573 NC백화점서울특별시 구로구 구로중앙로 152, NC백화점 지하1층 (구로동)8292(주)이랜드킴스클럽 NC신구로점2022-11-03 17:46:09U2021-11-01 00:05:00.0기타식품판매업189570.36093444336.05133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6331600003160000-114-2020-0000220200909<NA>1영업/정상1영업<NA><NA><NA><NA><NA>319.40152804서울특별시 구로구 개봉동 98-22서울특별시 구로구 고척로25길 33-58, 1층 (개봉동)8247더원마트2020-09-09 11:19:42I2020-09-11 00:23:12.0기타식품판매업186317.561909444594.272085기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
6431600003160000-114-2020-0000320200925<NA>3폐업2폐업20210812<NA><NA><NA>02 261933361,492.52152894서울특별시 구로구 오류동 47-1 삼익쇼핑서울특별시 구로구 경인로 192, 삼익쇼핑 1층 (오류동)8271정다운식자재유통2021-08-12 09:28:39U2021-08-14 02:40:00.0기타식품판매업186015.73837443657.614265기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
6531600003160000-114-2021-0000120210813<NA>1영업/정상1영업<NA><NA><NA><NA><NA>13,224.00152894서울특별시 구로구 오류동 47-1 삼익쇼핑 1층 일부서울특별시 구로구 경인로 192, 삼익쇼핑 1층 (오류동)8271뉴진로식자재마트2021-08-13 15:29:41I2021-08-15 00:23:01.0기타식품판매업186015.73837443657.614265기타식품판매업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
6631600003160000-114-2021-0000220211124<NA>1영업/정상1영업<NA><NA><NA><NA><NA>562.05152140서울특별시 구로구 항동 83서울특별시 구로구 서해안로 2124, 112,113,114호 (항동)8368(주)이마트에브리데이 구로항동점2021-11-24 15:22:47I2021-11-26 00:22:55.0기타식품판매업184501.677138442170.35721기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
6731600003160000-114-2022-0000120220907<NA>1영업/정상1영업<NA><NA><NA><NA>1899990018,531.37152828서울특별시 구로구 고척동 100-7서울특별시 구로구 경인로43길 49, 지하2층 (고척동)8226(주)코스트코 코리아 고척점2022-09-29 10:04:55U2021-10-31 00:01:00.0기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6831600003160000-114-2024-000012024-01-16<NA>1영업/정상1영업<NA><NA><NA><NA>02 865 03101018.45152-800서울특별시 구로구 가리봉동 89-138서울특별시 구로구 구로동로 34, 1층 (가리봉동)8385영등포농협하나로마트 남구로역점2024-01-16 11:20:17I2023-11-30 23:08:00.0기타식품판매업189900.313832442495.532678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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