Overview

Dataset statistics

Number of variables44
Number of observations127
Missing cells1120
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.6 KiB
Average record size in memory376.0 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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18324/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업장주변구분명 is highly imbalanced (54.9%)Imbalance
등급구분명 is highly imbalanced (69.1%)Imbalance
급수시설구분명 is highly imbalanced (54.9%)Imbalance
총인원 is highly imbalanced (79.8%)Imbalance
본사종업원수 is highly imbalanced (65.2%)Imbalance
보증액 is highly imbalanced (60.2%)Imbalance
월세액 is highly imbalanced (60.2%)Imbalance
인허가취소일자 has 127 (100.0%) missing valuesMissing
폐업일자 has 43 (33.9%) missing valuesMissing
휴업시작일자 has 127 (100.0%) missing valuesMissing
휴업종료일자 has 127 (100.0%) missing valuesMissing
재개업일자 has 127 (100.0%) missing valuesMissing
전화번호 has 22 (17.3%) missing valuesMissing
소재지면적 has 19 (15.0%) missing valuesMissing
도로명주소 has 27 (21.3%) missing valuesMissing
도로명우편번호 has 28 (22.0%) missing valuesMissing
좌표정보(X) has 2 (1.6%) missing valuesMissing
좌표정보(Y) has 2 (1.6%) missing valuesMissing
다중이용업소여부 has 44 (34.6%) missing valuesMissing
시설총규모 has 44 (34.6%) missing valuesMissing
전통업소지정번호 has 127 (100.0%) missing valuesMissing
전통업소주된음식 has 127 (100.0%) missing valuesMissing
홈페이지 has 127 (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
시설총규모 has 49 (38.6%) zerosZeros

Reproduction

Analysis started2024-04-29 19:41:28.332205
Analysis finished2024-04-29 19:41:29.184572
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3220000
127 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 127
100.0%

Length

2024-04-30T04:41:29.251148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:29.335950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 127
100.0%

관리번호
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T04:41:29.475123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters2794
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

Unique127 ?
Unique (%)100.0%

Sample

1st row3220000-114-1990-00131
2nd row3220000-114-1990-00132
3rd row3220000-114-1990-00133
4th row3220000-114-1990-00134
5th row3220000-114-1990-00135
ValueCountFrequency (%)
3220000-114-1990-00131 1
 
0.8%
3220000-114-2017-00004 1
 
0.8%
3220000-114-2017-00001 1
 
0.8%
3220000-114-2016-00009 1
 
0.8%
3220000-114-2016-00008 1
 
0.8%
3220000-114-2016-00007 1
 
0.8%
3220000-114-2016-00006 1
 
0.8%
3220000-114-2016-00005 1
 
0.8%
3220000-114-2016-00004 1
 
0.8%
3220000-114-2016-00003 1
 
0.8%
Other values (117) 117
92.1%
2024-04-30T04:41:29.742196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1095
39.2%
2 414
 
14.8%
1 412
 
14.7%
- 381
 
13.6%
3 162
 
5.8%
4 152
 
5.4%
9 83
 
3.0%
6 37
 
1.3%
7 22
 
0.8%
5 21
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2413
86.4%
Dash Punctuation 381
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1095
45.4%
2 414
 
17.2%
1 412
 
17.1%
3 162
 
6.7%
4 152
 
6.3%
9 83
 
3.4%
6 37
 
1.5%
7 22
 
0.9%
5 21
 
0.9%
8 15
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 381
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1095
39.2%
2 414
 
14.8%
1 412
 
14.7%
- 381
 
13.6%
3 162
 
5.8%
4 152
 
5.4%
9 83
 
3.0%
6 37
 
1.3%
7 22
 
0.8%
5 21
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1095
39.2%
2 414
 
14.8%
1 412
 
14.7%
- 381
 
13.6%
3 162
 
5.8%
4 152
 
5.4%
9 83
 
3.0%
6 37
 
1.3%
7 22
 
0.8%
5 21
 
0.8%

인허가일자
Date

Distinct114
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1990-03-31 00:00:00
Maximum2023-12-07 00:00:00
2024-04-30T04:41:29.865327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:41:29.992134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
84 
1
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 84
66.1%
1 43
33.9%

Length

2024-04-30T04:41:30.117306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:30.200088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 84
66.1%
1 43
33.9%

영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
84 
영업/정상
43 

Length

Max length5
Median length2
Mean length3.015748
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 84
66.1%
영업/정상 43
33.9%

Length

2024-04-30T04:41:30.288886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:30.366907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 84
66.1%
영업/정상 43
33.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2
84 
1
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 84
66.1%
1 43
33.9%

Length

2024-04-30T04:41:30.448943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:30.532932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 84
66.1%
1 43
33.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
84 
영업
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 84
66.1%
영업 43
33.9%

Length

2024-04-30T04:41:30.620444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:30.695806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 84
66.1%
영업 43
33.9%

폐업일자
Date

MISSING 

Distinct77
Distinct (%)91.7%
Missing43
Missing (%)33.9%
Memory size1.1 KiB
Minimum1997-04-24 00:00:00
Maximum2023-12-18 00:00:00
2024-04-30T04:41:30.786122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:41:30.905821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct98
Distinct (%)93.3%
Missing22
Missing (%)17.3%
Memory size1.1 KiB
2024-04-30T04:41:31.111544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.333333
Min length2

Characters and Unicode

Total characters1085
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

Unique91 ?
Unique (%)86.7%

Sample

1st row0234495591
2nd row02 5522233
3rd row02 34494029
4th row02
5th row02 5462033
ValueCountFrequency (%)
02 81
38.8%
380 4
 
1.9%
445 3
 
1.4%
0234111632 2
 
1.0%
5239 2
 
1.0%
518 2
 
1.0%
22905735 2
 
1.0%
5678 2
 
1.0%
5769000 2
 
1.0%
4400783 2
 
1.0%
Other values (106) 107
51.2%
2024-04-30T04:41:31.465124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 177
16.3%
2 176
16.2%
142
13.1%
5 131
12.1%
4 87
8.0%
3 83
7.6%
6 71
6.5%
1 67
 
6.2%
7 53
 
4.9%
9 50
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 943
86.9%
Space Separator 142
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
18.8%
2 176
18.7%
5 131
13.9%
4 87
9.2%
3 83
8.8%
6 71
7.5%
1 67
 
7.1%
7 53
 
5.6%
9 50
 
5.3%
8 48
 
5.1%
Space Separator
ValueCountFrequency (%)
142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 177
16.3%
2 176
16.2%
142
13.1%
5 131
12.1%
4 87
8.0%
3 83
7.6%
6 71
6.5%
1 67
 
6.2%
7 53
 
4.9%
9 50
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 177
16.3%
2 176
16.2%
142
13.1%
5 131
12.1%
4 87
8.0%
3 83
7.6%
6 71
6.5%
1 67
 
6.2%
7 53
 
4.9%
9 50
 
4.6%

소재지면적
Text

MISSING 

Distinct104
Distinct (%)96.3%
Missing19
Missing (%)15.0%
Memory size1.1 KiB
2024-04-30T04:41:31.719012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0833333
Min length4

Characters and Unicode

Total characters657
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

Unique100 ?
Unique (%)92.6%

Sample

1st row0.00
2nd row3195.00
3rd row845.00
4th row542.27
5th row507.91
ValueCountFrequency (%)
1848.34 2
 
1.9%
313.00 2
 
1.9%
770.36 2
 
1.9%
637.37 2
 
1.9%
484.70 1
 
0.9%
718.63 1
 
0.9%
491.00 1
 
0.9%
692.26 1
 
0.9%
529.89 1
 
0.9%
357.29 1
 
0.9%
Other values (94) 94
87.0%
2024-04-30T04:41:32.082000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 108
16.4%
0 93
14.2%
3 76
11.6%
4 61
9.3%
7 58
8.8%
5 57
8.7%
6 48
7.3%
8 41
 
6.2%
1 40
 
6.1%
9 37
 
5.6%
Other values (2) 38
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 545
83.0%
Other Punctuation 112
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 93
17.1%
3 76
13.9%
4 61
11.2%
7 58
10.6%
5 57
10.5%
6 48
8.8%
8 41
7.5%
1 40
7.3%
9 37
 
6.8%
2 34
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 108
96.4%
, 4
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Common 657
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 108
16.4%
0 93
14.2%
3 76
11.6%
4 61
9.3%
7 58
8.8%
5 57
8.7%
6 48
7.3%
8 41
 
6.2%
1 40
 
6.1%
9 37
 
5.6%
Other values (2) 38
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 657
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 108
16.4%
0 93
14.2%
3 76
11.6%
4 61
9.3%
7 58
8.8%
5 57
8.7%
6 48
7.3%
8 41
 
6.2%
1 40
 
6.1%
9 37
 
5.6%
Other values (2) 38
 
5.8%

소재지우편번호
Text

Distinct77
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T04:41:32.316133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2440945
Min length6

Characters and Unicode

Total characters793
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

Unique50 ?
Unique (%)39.4%

Sample

1st row135-900
2nd row135-090
3rd row135820
4th row135-906
5th row135998
ValueCountFrequency (%)
135820 6
 
4.7%
135501 5
 
3.9%
135835 4
 
3.1%
135962 4
 
3.1%
135838 4
 
3.1%
135927 4
 
3.1%
135944 3
 
2.4%
135-856 3
 
2.4%
135840 3
 
2.4%
135808 3
 
2.4%
Other values (67) 88
69.3%
2024-04-30T04:41:32.648803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 161
20.3%
3 160
20.2%
1 151
19.0%
8 77
9.7%
0 56
 
7.1%
9 56
 
7.1%
2 37
 
4.7%
- 31
 
3.9%
4 28
 
3.5%
6 20
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 762
96.1%
Dash Punctuation 31
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 161
21.1%
3 160
21.0%
1 151
19.8%
8 77
10.1%
0 56
 
7.3%
9 56
 
7.3%
2 37
 
4.9%
4 28
 
3.7%
6 20
 
2.6%
7 16
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 793
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 161
20.3%
3 160
20.2%
1 151
19.0%
8 77
9.7%
0 56
 
7.1%
9 56
 
7.1%
2 37
 
4.7%
- 31
 
3.9%
4 28
 
3.5%
6 20
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 793
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 161
20.3%
3 160
20.2%
1 151
19.0%
8 77
9.7%
0 56
 
7.1%
9 56
 
7.1%
2 37
 
4.7%
- 31
 
3.9%
4 28
 
3.5%
6 20
 
2.5%

지번주소
Text

Distinct123
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T04:41:32.837481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length32
Mean length23.417323
Min length17

Characters and Unicode

Total characters2974
Distinct characters130
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

Unique120 ?
Unique (%)94.5%

Sample

1st row서울특별시 강남구 압구정동 429
2nd row서울특별시 강남구 삼성동 159-7
3rd row서울특별시 강남구 논현동 119
4th row서울특별시 강남구 압구정동 494
5th row서울특별시 강남구 대치동 937
ValueCountFrequency (%)
서울특별시 127
21.1%
강남구 127
21.1%
대치동 28
 
4.7%
개포동 21
 
3.5%
지하1층 20
 
3.3%
역삼동 17
 
2.8%
논현동 14
 
2.3%
일원동 12
 
2.0%
지상1층 11
 
1.8%
삼성동 8
 
1.3%
Other values (163) 217
36.0%
2024-04-30T04:41:33.125248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
18.6%
1 165
 
5.5%
구 132
 
4.4%
동 132
 
4.4%
서 130
 
4.4%
시 128
 
4.3%
강 128
 
4.3%
남 128
 
4.3%
특 127
 
4.3%
별 127
 
4.3%
Other values (120) 1223
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1750
58.8%
Decimal Number 561
 
18.9%
Space Separator 554
 
18.6%
Dash Punctuation 88
 
3.0%
Other Punctuation 9
 
0.3%
Uppercase Letter 5
 
0.2%
Math Symbol 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 132
 
7.5%
동 132
 
7.5%
서 130
 
7.4%
시 128
 
7.3%
강 128
 
7.3%
남 128
 
7.3%
특 127
 
7.3%
별 127
 
7.3%
울 127
 
7.3%
지 43
 
2.5%
Other values (101) 548
31.3%
Decimal Number
ValueCountFrequency (%)
1 165
29.4%
6 63
 
11.2%
4 47
 
8.4%
9 47
 
8.4%
2 47
 
8.4%
7 43
 
7.7%
3 42
 
7.5%
5 42
 
7.5%
0 36
 
6.4%
8 29
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
/ 2
 
22.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
D 2
40.0%
Space Separator
ValueCountFrequency (%)
554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1750
58.8%
Common 1219
41.0%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 132
 
7.5%
동 132
 
7.5%
서 130
 
7.4%
시 128
 
7.3%
강 128
 
7.3%
남 128
 
7.3%
특 127
 
7.3%
별 127
 
7.3%
울 127
 
7.3%
지 43
 
2.5%
Other values (101) 548
31.3%
Common
ValueCountFrequency (%)
554
45.4%
1 165
 
13.5%
- 88
 
7.2%
6 63
 
5.2%
4 47
 
3.9%
9 47
 
3.9%
2 47
 
3.9%
7 43
 
3.5%
3 42
 
3.4%
5 42
 
3.4%
Other values (7) 81
 
6.6%
Latin
ValueCountFrequency (%)
B 3
60.0%
D 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1750
58.8%
ASCII 1224
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
45.3%
1 165
 
13.5%
- 88
 
7.2%
6 63
 
5.1%
4 47
 
3.8%
9 47
 
3.8%
2 47
 
3.8%
7 43
 
3.5%
3 42
 
3.4%
5 42
 
3.4%
Other values (9) 86
 
7.0%
Hangul
ValueCountFrequency (%)
구 132
 
7.5%
동 132
 
7.5%
서 130
 
7.4%
시 128
 
7.3%
강 128
 
7.3%
남 128
 
7.3%
특 127
 
7.3%
별 127
 
7.3%
울 127
 
7.3%
지 43
 
2.5%
Other values (101) 548
31.3%

도로명주소
Text

MISSING 

Distinct96
Distinct (%)96.0%
Missing27
Missing (%)21.3%
Memory size1.1 KiB
2024-04-30T04:41:33.360465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length47
Mean length36.21
Min length23

Characters and Unicode

Total characters3621
Distinct characters177
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

Unique92 ?
Unique (%)92.0%

Sample

1st row서울특별시 강남구 압구정로 165 (압구정동)
2nd row서울특별시 강남구 테헤란로 517 (삼성동)
3rd row서울특별시 강남구 압구정로 343 (압구정동)
4th row서울특별시 강남구 압구정로 201 (압구정동,금강쇼핑센타 지하1층)
5th row서울특별시 강남구 삼성로 150, 지하1층 (대치동, 한보미도맨션)
ValueCountFrequency (%)
서울특별시 100
 
15.1%
강남구 100
 
15.1%
지하1층 33
 
5.0%
지상1층 17
 
2.6%
대치동 16
 
2.4%
개포동 13
 
2.0%
역삼동 11
 
1.7%
논현동 9
 
1.4%
삼성로 8
 
1.2%
일원동 7
 
1.1%
Other values (235) 350
52.7%
2024-04-30T04:41:33.696734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564
 
15.6%
1 224
 
6.2%
, 150
 
4.1%
동 123
 
3.4%
남 111
 
3.1%
구 109
 
3.0%
강 107
 
3.0%
서 105
 
2.9%
시 103
 
2.8%
( 101
 
2.8%
Other values (167) 1924
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2053
56.7%
Decimal Number 597
 
16.5%
Space Separator 564
 
15.6%
Other Punctuation 151
 
4.2%
Open Punctuation 101
 
2.8%
Close Punctuation 101
 
2.8%
Uppercase Letter 31
 
0.9%
Dash Punctuation 14
 
0.4%
Math Symbol 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 123
 
6.0%
남 111
 
5.4%
구 109
 
5.3%
강 107
 
5.2%
서 105
 
5.1%
시 103
 
5.0%
울 101
 
4.9%
로 100
 
4.9%
별 100
 
4.9%
특 100
 
4.9%
Other values (141) 994
48.4%
Decimal Number
ValueCountFrequency (%)
1 224
37.5%
2 88
 
14.7%
0 66
 
11.1%
3 50
 
8.4%
5 43
 
7.2%
6 35
 
5.9%
4 30
 
5.0%
9 25
 
4.2%
8 20
 
3.4%
7 16
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 20
64.5%
G 2
 
6.5%
H 2
 
6.5%
A 2
 
6.5%
S 1
 
3.2%
D 1
 
3.2%
Y 1
 
3.2%
M 1
 
3.2%
K 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 150
99.3%
/ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
564
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2053
56.7%
Common 1537
42.4%
Latin 31
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 123
 
6.0%
남 111
 
5.4%
구 109
 
5.3%
강 107
 
5.2%
서 105
 
5.1%
시 103
 
5.0%
울 101
 
4.9%
로 100
 
4.9%
별 100
 
4.9%
특 100
 
4.9%
Other values (141) 994
48.4%
Common
ValueCountFrequency (%)
564
36.7%
1 224
 
14.6%
, 150
 
9.8%
( 101
 
6.6%
) 101
 
6.6%
2 88
 
5.7%
0 66
 
4.3%
3 50
 
3.3%
5 43
 
2.8%
6 35
 
2.3%
Other values (7) 115
 
7.5%
Latin
ValueCountFrequency (%)
B 20
64.5%
G 2
 
6.5%
H 2
 
6.5%
A 2
 
6.5%
S 1
 
3.2%
D 1
 
3.2%
Y 1
 
3.2%
M 1
 
3.2%
K 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2053
56.7%
ASCII 1568
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
564
36.0%
1 224
 
14.3%
, 150
 
9.6%
( 101
 
6.4%
) 101
 
6.4%
2 88
 
5.6%
0 66
 
4.2%
3 50
 
3.2%
5 43
 
2.7%
6 35
 
2.2%
Other values (16) 146
 
9.3%
Hangul
ValueCountFrequency (%)
동 123
 
6.0%
남 111
 
5.4%
구 109
 
5.3%
강 107
 
5.2%
서 105
 
5.1%
시 103
 
5.0%
울 101
 
4.9%
로 100
 
4.9%
별 100
 
4.9%
특 100
 
4.9%
Other values (141) 994
48.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)65.7%
Missing28
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean6227.1818
Minimum6001
Maximum6378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:41:33.835684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6001
5-th percentile6034
Q16129.5
median6257
Q36314.5
95-th percentile6373.3
Maximum6378
Range377
Interquartile range (IQR)185

Descriptive statistics

Standard deviation107.73222
Coefficient of variation (CV)0.017300318
Kurtosis-0.98222763
Mean6227.1818
Median Absolute Deviation (MAD)74
Skewness-0.49518981
Sum616491
Variance11606.232
MonotonicityNot monotonic
2024-04-30T04:41:33.964906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6376 4
 
3.1%
6280 3
 
2.4%
6284 3
 
2.4%
6218 3
 
2.4%
6312 3
 
2.4%
6164 3
 
2.4%
6282 3
 
2.4%
6091 3
 
2.4%
6059 3
 
2.4%
6325 2
 
1.6%
Other values (55) 69
54.3%
(Missing) 28
22.0%
ValueCountFrequency (%)
6001 1
 
0.8%
6004 1
 
0.8%
6008 1
 
0.8%
6028 1
 
0.8%
6034 2
1.6%
6045 1
 
0.8%
6059 3
2.4%
6062 1
 
0.8%
6069 1
 
0.8%
6083 1
 
0.8%
ValueCountFrequency (%)
6378 1
 
0.8%
6376 4
3.1%
6373 1
 
0.8%
6367 1
 
0.8%
6355 1
 
0.8%
6350 1
 
0.8%
6349 1
 
0.8%
6346 1
 
0.8%
6341 1
 
0.8%
6337 2
1.6%

사업장명
Text

Distinct124
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-30T04:41:34.177641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length10.385827
Min length3

Characters and Unicode

Total characters1319
Distinct characters179
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)95.3%

Sample

1st row주식회사현대백화점
2nd row무역센타현대백화점
3rd row나산백화점강남지점
4th row한화갤러리아(주) 명품관
5th row그랜드백화점
ValueCountFrequency (%)
주)이마트에브리데이 7
 
3.7%
노브랜드 6
 
3.2%
롯데쇼핑(주)롯데슈퍼 5
 
2.7%
주)지에스리테일 3
 
1.6%
세곡점 3
 
1.6%
홈플러스 3
 
1.6%
강남홈앤유통 2
 
1.1%
gs수퍼 2
 
1.1%
주)이마트 2
 
1.1%
삼성점 2
 
1.1%
Other values (142) 153
81.4%
2024-04-30T04:41:34.517389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 74
 
5.6%
주 69
 
5.2%
( 68
 
5.2%
) 68
 
5.2%
61
 
4.6%
마 61
 
4.6%
트 54
 
4.1%
이 33
 
2.5%
스 32
 
2.4%
데 31
 
2.4%
Other values (169) 768
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
83.4%
Open Punctuation 68
 
5.2%
Close Punctuation 68
 
5.2%
Space Separator 61
 
4.6%
Uppercase Letter 17
 
1.3%
Decimal Number 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 74
 
6.7%
주 69
 
6.3%
마 61
 
5.5%
트 54
 
4.9%
이 33
 
3.0%
스 32
 
2.9%
데 31
 
2.8%
대 23
 
2.1%
롯 22
 
2.0%
유 21
 
1.9%
Other values (159) 680
61.8%
Uppercase Letter
ValueCountFrequency (%)
S 9
52.9%
G 6
35.3%
K 1
 
5.9%
F 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
83.4%
Common 202
 
15.3%
Latin 17
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 74
 
6.7%
주 69
 
6.3%
마 61
 
5.5%
트 54
 
4.9%
이 33
 
3.0%
스 32
 
2.9%
데 31
 
2.8%
대 23
 
2.1%
롯 22
 
2.0%
유 21
 
1.9%
Other values (159) 680
61.8%
Common
ValueCountFrequency (%)
( 68
33.7%
) 68
33.7%
61
30.2%
2 3
 
1.5%
- 1
 
0.5%
1 1
 
0.5%
Latin
ValueCountFrequency (%)
S 9
52.9%
G 6
35.3%
K 1
 
5.9%
F 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
83.4%
ASCII 219
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 74
 
6.7%
주 69
 
6.3%
마 61
 
5.5%
트 54
 
4.9%
이 33
 
3.0%
스 32
 
2.9%
데 31
 
2.8%
대 23
 
2.1%
롯 22
 
2.0%
유 21
 
1.9%
Other values (159) 680
61.8%
ASCII
ValueCountFrequency (%)
( 68
31.1%
) 68
31.1%
61
27.9%
S 9
 
4.1%
G 6
 
2.7%
2 3
 
1.4%
- 1
 
0.5%
K 1
 
0.5%
1 1
 
0.5%
F 1
 
0.5%

최종수정일자
Date

Distinct111
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2001-09-26 00:00:00
Maximum2024-04-25 17:45:01
2024-04-30T04:41:34.626323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:41:34.917155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
67 
I
60 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 67
52.8%
I 60
47.2%

Length

2024-04-30T04:41:35.031762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:35.119553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 67
52.8%
i 60
47.2%

데이터갱신일자
Date

Distinct67
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-04-30T04:41:35.212737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:41:35.336426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타식품판매업
127 

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 127
100.0%

Length

2024-04-30T04:41:35.442353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:35.521021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 127
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)75.2%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean204815.79
Minimum201667.79
Maximum209592.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:41:35.615413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201667.79
5-th percentile202117.2
Q1203489.99
median204721.45
Q3205707.09
95-th percentile208607.42
Maximum209592.46
Range7924.6736
Interquartile range (IQR)2217.0967

Descriptive statistics

Standard deviation1812.6192
Coefficient of variation (CV)0.0088499975
Kurtosis-0.016882501
Mean204815.79
Median Absolute Deviation (MAD)1162.3352
Skewness0.50833528
Sum25601973
Variance3285588.4
MonotonicityNot monotonic
2024-04-30T04:41:35.733795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205707.089399978 4
 
3.1%
205509.966459072 3
 
2.4%
206943.899783065 3
 
2.4%
203292.307005445 3
 
2.4%
204389.356959707 3
 
2.4%
204721.620225941 3
 
2.4%
205496.329962005 2
 
1.6%
202425.73 2
 
1.6%
206970.919291372 2
 
1.6%
201757.494098748 2
 
1.6%
Other values (84) 98
77.2%
ValueCountFrequency (%)
201667.786866215 1
0.8%
201757.494098748 2
1.6%
201874.279734618 1
0.8%
201996.425 1
0.8%
202023.395227792 1
0.8%
202104.75126126 1
0.8%
202167.012989943 1
0.8%
202231.062114466 1
0.8%
202339.946125776 1
0.8%
202358.505687227 1
0.8%
ValueCountFrequency (%)
209592.460472051 1
0.8%
209052.072465426 1
0.8%
208955.31827 1
0.8%
208937.760652081 1
0.8%
208882.245870174 1
0.8%
208669.685 1
0.8%
208637.945 1
0.8%
208485.334942499 1
0.8%
208334.06570268 1
0.8%
207748.487100942 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)74.4%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean443982.86
Minimum440405.74
Maximum447748.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:41:35.861691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440405.74
5-th percentile441457.42
Q1443010.28
median443769.38
Q3445154.42
95-th percentile446783.91
Maximum447748.16
Range7342.4173
Interquartile range (IQR)2144.1423

Descriptive statistics

Standard deviation1640.835
Coefficient of variation (CV)0.0036957169
Kurtosis-0.32779173
Mean443982.86
Median Absolute Deviation (MAD)1024.5328
Skewness0.13258095
Sum55497857
Variance2692339.4
MonotonicityNot monotonic
2024-04-30T04:41:35.988433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443914.194133105 4
 
3.1%
446247.511537864 3
 
2.4%
443232.721306979 3
 
2.4%
444112.266997421 3
 
2.4%
442481.518031817 3
 
2.4%
441457.423640678 3
 
2.4%
443515.70221107 2
 
1.6%
444852.88 2
 
1.6%
443574.411625824 2
 
1.6%
446282.45446652 2
 
1.6%
Other values (83) 98
77.2%
ValueCountFrequency (%)
440405.743740801 1
 
0.8%
440481.379196637 1
 
0.8%
440518.109999999 2
1.6%
440707.890762 1
 
0.8%
441086.596187726 1
 
0.8%
441457.423640678 3
2.4%
441815.822474066 2
1.6%
441819.460667918 1
 
0.8%
442060.820705342 2
1.6%
442266.665 2
1.6%
ValueCountFrequency (%)
447748.161018109 1
0.8%
447521.520319158 1
0.8%
447369.579851952 1
0.8%
447232.955697694 1
0.8%
446941.563339336 1
0.8%
446808.075588622 1
0.8%
446796.128299612 1
0.8%
446735.053982147 1
0.8%
446675.932361885 1
0.8%
446282.45446652 2
1.6%

위생업태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타식품판매업
83 
<NA>
44 

Length

Max length7
Median length7
Mean length5.9606299
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 83
65.4%
<NA> 44
34.6%

Length

2024-04-30T04:41:36.113920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:36.201500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 83
65.4%
na 44
34.6%

남성종사자수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0
15 

Length

Max length4
Median length4
Mean length3.6456693
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> 112
88.2%
0 15
 
11.8%

Length

2024-04-30T04:41:36.287600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:36.384641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
88.2%
0 15
 
11.8%

여성종사자수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0
15 

Length

Max length4
Median length4
Mean length3.6456693
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> 112
88.2%
0 15
 
11.8%

Length

2024-04-30T04:41:36.488376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:36.566121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
88.2%
0 15
 
11.8%

영업장주변구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
기타
12 

Length

Max length4
Median length4
Mean length3.8110236
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> 115
90.6%
기타 12
 
9.4%

Length

2024-04-30T04:41:36.658894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:36.742307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
90.6%
기타 12
 
9.4%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
기타
 
11
자율
 
1

Length

Max length4
Median length4
Mean length3.8110236
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
90.6%
기타 11
 
8.7%
자율 1
 
0.8%

Length

2024-04-30T04:41:36.836119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:36.926157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
90.6%
기타 11
 
8.7%
자율 1
 
0.8%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
115 
상수도전용
12 

Length

Max length5
Median length4
Mean length4.0944882
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> 115
90.6%
상수도전용 12
 
9.4%

Length

2024-04-30T04:41:37.012732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:37.098882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
90.6%
상수도전용 12
 
9.4%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
4

Length

Max length4
Median length4
Mean length3.9055118
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> 123
96.9%
0 4
 
3.1%

Length

2024-04-30T04:41:37.210163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:37.301788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
96.9%
0 4
 
3.1%

본사종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
0
14 
6
 
3
9
 
2
15
 
1

Length

Max length4
Median length4
Mean length3.511811
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
83.5%
0 14
 
11.0%
6 3
 
2.4%
9 2
 
1.6%
15 1
 
0.8%
7 1
 
0.8%

Length

2024-04-30T04:41:37.393822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:37.481706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
83.5%
0 14
 
11.0%
6 3
 
2.4%
9 2
 
1.6%
15 1
 
0.8%
7 1
 
0.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
0
21 

Length

Max length4
Median length4
Mean length3.503937
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> 106
83.5%
0 21
 
16.5%

Length

2024-04-30T04:41:37.575480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:37.656702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
83.5%
0 21
 
16.5%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
0
21 

Length

Max length4
Median length4
Mean length3.503937
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> 106
83.5%
0 21
 
16.5%

Length

2024-04-30T04:41:37.741724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:37.831999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
83.5%
0 21
 
16.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
106 
0
21 

Length

Max length4
Median length4
Mean length3.503937
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> 106
83.5%
0 21
 
16.5%

Length

2024-04-30T04:41:37.918387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:38.005225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
83.5%
0 21
 
16.5%

건물소유구분명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
76 
자가
35 
임대
16 

Length

Max length4
Median length4
Mean length3.1968504
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> 76
59.8%
자가 35
27.6%
임대 16
 
12.6%

Length

2024-04-30T04:41:38.093920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:38.184345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
59.8%
자가 35
27.6%
임대 16
 
12.6%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
117 
0
 
10

Length

Max length4
Median length4
Mean length3.7637795
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> 117
92.1%
0 10
 
7.9%

Length

2024-04-30T04:41:38.281329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:38.377491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
92.1%
0 10
 
7.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
117 
0
 
10

Length

Max length4
Median length4
Mean length3.7637795
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> 117
92.1%
0 10
 
7.9%

Length

2024-04-30T04:41:38.476133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:41:38.566725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
92.1%
0 10
 
7.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.2%
Missing44
Missing (%)34.6%
Memory size386.0 B
False
83 
(Missing)
44 
ValueCountFrequency (%)
False 83
65.4%
(Missing) 44
34.6%
2024-04-30T04:41:38.634750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)41.0%
Missing44
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean284.14855
Minimum0
Maximum2507.86
Zeros49
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-30T04:41:38.730678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3499.04
95-th percentile935.322
Maximum2507.86
Range2507.86
Interquartile range (IQR)499.04

Descriptive statistics

Standard deviation466.58547
Coefficient of variation (CV)1.6420477
Kurtosis8.0128214
Mean284.14855
Median Absolute Deviation (MAD)0
Skewness2.4417647
Sum23584.33
Variance217702
MonotonicityNot monotonic
2024-04-30T04:41:38.852985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 49
38.6%
770.36 2
 
1.6%
936.58 1
 
0.8%
992.68 1
 
0.8%
357.29 1
 
0.8%
692.26 1
 
0.8%
2507.86 1
 
0.8%
373.5 1
 
0.8%
837.61 1
 
0.8%
611.6 1
 
0.8%
Other values (24) 24
18.9%
(Missing) 44
34.6%
ValueCountFrequency (%)
0.0 49
38.6%
33.0 1
 
0.8%
47.0 1
 
0.8%
313.0 1
 
0.8%
319.47 1
 
0.8%
328.45 1
 
0.8%
347.77 1
 
0.8%
350.37 1
 
0.8%
357.19 1
 
0.8%
357.29 1
 
0.8%
ValueCountFrequency (%)
2507.86 1
0.8%
2207.94 1
0.8%
992.68 1
0.8%
965.3 1
0.8%
936.58 1
0.8%
924.0 1
0.8%
912.84 1
0.8%
910.44 1
0.8%
891.0 1
0.8%
856.57 1
0.8%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032200003220000-114-1990-001311990-06-29<NA>1영업/정상1영업<NA><NA><NA><NA>02344955910.00135-900서울특별시 강남구 압구정동 429서울특별시 강남구 압구정로 165 (압구정동)6001주식회사현대백화점2024-03-21 15:40:10U2023-12-02 22:03:00.0기타식품판매업202358.505687447232.955698<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
132200003220000-114-1990-001321990-07-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 55222333195.00135-090서울특별시 강남구 삼성동 159-7서울특별시 강남구 테헤란로 517 (삼성동)6164무역센타현대백화점2024-04-25 17:45:01U2023-12-03 22:07:00.0기타식품판매업205210.358779445154.422252<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
232200003220000-114-1990-0013319900331<NA>3폐업2폐업19970424<NA><NA><NA><NA><NA>135820서울특별시 강남구 논현동 119<NA><NA>나산백화점강남지점2001-09-26 00:00:00I2018-08-31 23:59:59.0기타식품판매업203522.611749446136.224972기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
332200003220000-114-1990-001341990-09-18<NA>1영업/정상1영업<NA><NA><NA><NA>02 34494029845.00135-906서울특별시 강남구 압구정동 494서울특별시 강남구 압구정로 343 (압구정동)6008한화갤러리아(주) 명품관2023-11-13 15:14:29U2022-10-31 23:05:00.0기타식품판매업203470.848439447369.579852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432200003220000-114-1990-0013519900927<NA>3폐업2폐업19991001<NA><NA><NA>02<NA>135998서울특별시 강남구 대치동 937<NA><NA>그랜드백화점2001-09-26 00:00:00I2018-08-31 23:59:59.0기타식품판매업204669.543367443873.621189기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
532200003220000-114-1994-0000119940804<NA>3폐업2폐업20031231<NA><NA><NA>02 5462033<NA>135903서울특별시 강남구 압구정동 455<NA><NA>현대하이퍼렛동호스토아2003-01-24 00:00:00I2018-08-31 23:59:59.0기타식품판매업202454.97001447748.161018기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
632200003220000-114-1994-000021994-08-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 5437642<NA>135-510서울특별시 강남구 압구정동 456 금강쇼핑센타 지하1층서울특별시 강남구 압구정로 201 (압구정동,금강쇼핑센타 지하1층)6004(주)현대그린푸드 압구정슈퍼2023-03-21 16:25:55U2022-12-02 22:03:00.0기타식품판매업202485.226491447521.520319<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
732200003220000-114-1996-0099819960624<NA>3폐업2폐업20010426<NA><NA><NA>02 4400783542.27135501서울특별시 강남구 대치동 990-4<NA><NA>(주)해태유통대치영업소2001-09-27 00:00:00I2018-08-31 23:59:59.0기타식품판매업<NA><NA>기타식품판매업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
832200003220000-114-1996-0099919960624<NA>3폐업2폐업20011218<NA><NA><NA>02 4400783507.91135838서울특별시 강남구 대치동 623 지하1층<NA><NA>(주)해태유통청실영업소2001-09-27 00:00:00I2018-08-31 23:59:59.0기타식품판매업205209.747123443490.817333기타식품판매업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
932200003220000-114-1996-0100019960624<NA>3폐업2폐업20070330<NA><NA><NA>02 5725428586.11135810서울특별시 강남구 개포동 660-4 지하1층<NA><NA>해태마트개포점2006-08-08 00:00:00I2018-08-31 23:59:59.0기타식품판매업205091.275107442060.820705기타식품판매업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
11732200003220000-114-2021-0000920211104<NA>1영업/정상1영업<NA><NA><NA><NA><NA>912.84135835서울특별시 강남구 대치동 316 은마아파트서울특별시 강남구 삼성로 212, 편의시설동 지상1층 103호 (대치동, 은마아파트)6284(주)이마트에브리데이 대치은마점2021-11-04 14:35:40I2021-11-06 00:22:45.0기타식품판매업205707.0894443914.194133기타식품판매업00<NA><NA><NA>00000자가00N912.84<NA><NA><NA>
11832200003220000-114-2021-000102021-11-29<NA>1영업/정상1영업<NA><NA><NA><NA>02 459 5601544.54135-539서울특별시 강남구 수서동 713 수서현대벤쳐빌서울특별시 강남구 밤고개로1길 10, 수서현대벤쳐빌 지하2층 253호,254호 (수서동)6349롯데쇼핑(주)롯데슈퍼 수서역점2023-05-19 17:18:35U2022-12-04 22:01:00.0기타식품판매업208937.760652442873.58804<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11932200003220000-114-2022-0000120220218<NA>1영업/정상1영업<NA><NA><NA><NA>02 566 3423500.37135927서울특별시 강남구 역삼동 765-2 백림빌딩서울특별시 강남구 선릉로63길 9, 백림빌딩 지상1층,지하1층 (역삼동)6218주식회사 대농마트2022-04-01 15:08:12U2021-12-04 00:03:00.0기타식품판매업204479.130897443880.723159<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12032200003220000-114-2022-000022022-03-21<NA>3폐업2폐업2023-12-11<NA><NA><NA>070 46894974658.50135-825서울특별시 강남구 논현동 164-7서울특별시 강남구 강남대로 512, 지상1,2층 (논현동)6114쓱고우 논현점2023-12-11 11:31:30U2022-11-01 23:03:00.0기타식품판매업201996.425445069.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12132200003220000-114-2022-0000320220412<NA>1영업/정상1영업<NA><NA><NA><NA><NA>574.88135887서울특별시 강남구 신사동 510-11 ---------서울특별시 강남구 압구정로2길 46, 지상1층 (신사동, ---------)6034(주)이마트에브리데이 강남시장점2022-04-12 08:13:22I2021-12-03 23:04:00.0기타식품판매업201757.494099446282.454467<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12232200003220000-114-2022-0000420220624<NA>1영업/정상1영업<NA><NA><NA><NA><NA>462.30135962서울특별시 강남구 개포동 1197-2 친환경식품유통센터서울특별시 강남구 논현로10길 29, 친환경식품유통센터 지상1층 (개포동)6312우리마트2022-06-24 13:12:15I2021-12-05 22:06:00.0기타식품판매업204389.35696441457.423641<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12332200003220000-114-2022-000052022-08-19<NA>3폐업2폐업2023-12-18<NA><NA><NA>02 555 2365539.42135-907서울특별시 강남구 역삼동 606-18 휴먼터치빌서울특별시 강남구 논현로 565, 지상1층 (역삼동, 휴먼터치빌)6125백세마트 역삼점2023-12-18 15:53:55U2022-11-01 22:00:00.0기타식품판매업202918.034256444919.344916<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12432200003220000-114-2022-0000620221014<NA>1영업/정상1영업<NA><NA><NA><NA>02 380 5123614.61135808서울특별시 강남구 개포동 656-3서울특별시 강남구 언주로7길 6, 지하1층 B101호, B105호 (개포동)6310(주)이마트에브리데이 개포래미안포레스트점2022-10-14 15:45:33I2021-10-30 23:06:00.0기타식품판매업204816.681263441819.460668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12532200003220000-114-2023-000012023-06-08<NA>1영업/정상1영업<NA><NA><NA><NA>02 380 5894788.68135-804서울특별시 강남구 개포동 189 개포자이 프레지던스서울특별시 강남구 삼성로 14, 지하1층 B117,B118호 (개포동, 개포자이 프레지던스)6331(주)이마트에브리데이 개포자이점2023-06-08 15:44:02I2022-12-05 23:00:00.0기타식품판매업206239.623997442598.51299<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12632200003220000-114-2023-000022023-12-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 158812341848.34135-856서울특별시 강남구 도곡동 467-17 타워팰리스서울특별시 강남구 언주로30길 57, 상가동 지하1층 (도곡동, 타워팰리스)6293(주)신세계 푸드마켓 도곡점2024-04-22 14:57:38U2023-12-03 22:04:00.0기타식품판매업204749.304518443058.194678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>