Overview

Dataset statistics

Number of variables44
Number of observations43
Missing cells449
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory378.1 B

Variable types

Categorical20
Text9
DateTime4
Unsupported7
Numeric3
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18305/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (62.0%)Imbalance
여성종사자수 is highly imbalanced (62.0%)Imbalance
총인원 is highly imbalanced (84.1%)Imbalance
보증액 is highly imbalanced (84.1%)Imbalance
월세액 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 17 (39.5%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
전화번호 has 8 (18.6%) missing valuesMissing
소재지면적 has 2 (4.7%) missing valuesMissing
도로명주소 has 10 (23.3%) missing valuesMissing
도로명우편번호 has 11 (25.6%) missing valuesMissing
좌표정보(X) has 2 (4.7%) missing valuesMissing
좌표정보(Y) has 2 (4.7%) missing valuesMissing
영업장주변구분명 has 38 (88.4%) missing valuesMissing
등급구분명 has 38 (88.4%) missing valuesMissing
다중이용업소여부 has 20 (46.5%) missing valuesMissing
전통업소지정번호 has 43 (100.0%) missing valuesMissing
전통업소주된음식 has 43 (100.0%) missing valuesMissing
홈페이지 has 43 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 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

Reproduction

Analysis started2024-05-11 08:09:51.535342
Analysis finished2024-05-11 08:09:52.069991
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
3030000
43 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 43
100.0%

Length

2024-05-11T17:09:52.125557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:52.242951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 43
100.0%

관리번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T17:09:52.412437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters946
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

Unique43 ?
Unique (%)100.0%

Sample

1st row3030000-114-1996-00383
2nd row3030000-114-1996-00737
3rd row3030000-114-1996-00738
4th row3030000-114-1997-00385
5th row3030000-114-1999-00384
ValueCountFrequency (%)
3030000-114-1996-00383 1
 
2.3%
3030000-114-2011-00001 1
 
2.3%
3030000-114-2011-00003 1
 
2.3%
3030000-114-2012-00001 1
 
2.3%
3030000-114-2012-00002 1
 
2.3%
3030000-114-2013-00001 1
 
2.3%
3030000-114-2013-00002 1
 
2.3%
3030000-114-2014-00001 1
 
2.3%
3030000-114-2015-00001 1
 
2.3%
3030000-114-2015-00002 1
 
2.3%
Other values (33) 33
76.7%
2024-05-11T17:09:52.764594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 420
44.4%
1 138
 
14.6%
- 129
 
13.6%
3 101
 
10.7%
2 55
 
5.8%
4 50
 
5.3%
9 23
 
2.4%
5 10
 
1.1%
8 9
 
1.0%
7 6
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 817
86.4%
Dash Punctuation 129
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 420
51.4%
1 138
 
16.9%
3 101
 
12.4%
2 55
 
6.7%
4 50
 
6.1%
9 23
 
2.8%
5 10
 
1.2%
8 9
 
1.1%
7 6
 
0.7%
6 5
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 420
44.4%
1 138
 
14.6%
- 129
 
13.6%
3 101
 
10.7%
2 55
 
5.8%
4 50
 
5.3%
9 23
 
2.4%
5 10
 
1.1%
8 9
 
1.0%
7 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 420
44.4%
1 138
 
14.6%
- 129
 
13.6%
3 101
 
10.7%
2 55
 
5.8%
4 50
 
5.3%
9 23
 
2.4%
5 10
 
1.1%
8 9
 
1.0%
7 6
 
0.6%

인허가일자
Date

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1996-07-03 00:00:00
Maximum2024-01-23 00:00:00
2024-05-11T17:09:52.902061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:09:53.024881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
26 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 26
60.5%
1 17
39.5%

Length

2024-05-11T17:09:53.149046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:53.250884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 26
60.5%
1 17
39.5%

영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
26 
영업/정상
17 

Length

Max length5
Median length2
Mean length3.1860465
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
60.5%
영업/정상 17
39.5%

Length

2024-05-11T17:09:53.606998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:53.715691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
60.5%
영업/정상 17
39.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2
26 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 26
60.5%
1 17
39.5%

Length

2024-05-11T17:09:53.829006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:53.938070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 26
60.5%
1 17
39.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
26 
영업
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
60.5%
영업 17
39.5%

Length

2024-05-11T17:09:54.041143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:54.145593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
60.5%
영업 17
39.5%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)100.0%
Missing17
Missing (%)39.5%
Memory size476.0 B
Minimum2000-12-15 00:00:00
Maximum2024-03-18 00:00:00
2024-05-11T17:09:54.247603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:09:54.371376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

전화번호
Text

MISSING 

Distinct34
Distinct (%)97.1%
Missing8
Missing (%)18.6%
Memory size476.0 B
2024-05-11T17:09:54.536409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.714286
Min length10

Characters and Unicode

Total characters375
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

Unique33 ?
Unique (%)94.3%

Sample

1st row02 4615601
2nd row0222949114
3rd row02 4643531
4th row0222375613
5th row0222984366
ValueCountFrequency (%)
02 16
31.4%
22991077 2
 
3.9%
4615601 1
 
2.0%
22971112 1
 
2.0%
0222538541 1
 
2.0%
33958894 1
 
2.0%
000234095621 1
 
2.0%
0222820162 1
 
2.0%
0222948544 1
 
2.0%
22977766 1
 
2.0%
Other values (25) 25
49.0%
2024-05-11T17:09:54.833693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 98
26.1%
0 64
17.1%
9 34
 
9.1%
1 29
 
7.7%
28
 
7.5%
4 25
 
6.7%
7 21
 
5.6%
8 20
 
5.3%
6 19
 
5.1%
5 19
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 347
92.5%
Space Separator 28
 
7.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 98
28.2%
0 64
18.4%
9 34
 
9.8%
1 29
 
8.4%
4 25
 
7.2%
7 21
 
6.1%
8 20
 
5.8%
6 19
 
5.5%
5 19
 
5.5%
3 18
 
5.2%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 375
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 98
26.1%
0 64
17.1%
9 34
 
9.1%
1 29
 
7.7%
28
 
7.5%
4 25
 
6.7%
7 21
 
5.6%
8 20
 
5.3%
6 19
 
5.1%
5 19
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 98
26.1%
0 64
17.1%
9 34
 
9.1%
1 29
 
7.7%
28
 
7.5%
4 25
 
6.7%
7 21
 
5.6%
8 20
 
5.3%
6 19
 
5.1%
5 19
 
5.1%

소재지면적
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing2
Missing (%)4.7%
Memory size476.0 B
2024-05-11T17:09:55.040407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.3658537
Min length6

Characters and Unicode

Total characters261
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

Unique41 ?
Unique (%)100.0%

Sample

1st row651.29
2nd row546.00
3rd row342.00
4th row504.50
5th row762.00
ValueCountFrequency (%)
1,484.00 1
 
2.4%
323.00 1
 
2.4%
2549.00 1
 
2.4%
336.40 1
 
2.4%
484.08 1
 
2.4%
303.00 1
 
2.4%
13180.00 1
 
2.4%
792.00 1
 
2.4%
626.29 1
 
2.4%
521.24 1
 
2.4%
Other values (31) 31
75.6%
2024-05-11T17:09:55.418127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
23.0%
. 41
15.7%
2 29
11.1%
4 25
9.6%
5 20
 
7.7%
3 18
 
6.9%
7 18
 
6.9%
8 15
 
5.7%
1 13
 
5.0%
6 9
 
3.4%
Other values (2) 13
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
82.8%
Other Punctuation 45
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
27.8%
2 29
13.4%
4 25
11.6%
5 20
 
9.3%
3 18
 
8.3%
7 18
 
8.3%
8 15
 
6.9%
1 13
 
6.0%
6 9
 
4.2%
9 9
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 41
91.1%
, 4
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common 261
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
23.0%
. 41
15.7%
2 29
11.1%
4 25
9.6%
5 20
 
7.7%
3 18
 
6.9%
7 18
 
6.9%
8 15
 
5.7%
1 13
 
5.0%
6 9
 
3.4%
Other values (2) 13
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
23.0%
. 41
15.7%
2 29
11.1%
4 25
9.6%
5 20
 
7.7%
3 18
 
6.9%
7 18
 
6.9%
8 15
 
5.7%
1 13
 
5.0%
6 9
 
3.4%
Other values (2) 13
 
5.0%

소재지우편번호
Text

Distinct34
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T17:09:55.618856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.4418605
Min length6

Characters and Unicode

Total characters277
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

Unique26 ?
Unique (%)60.5%

Sample

1st row133-834
2nd row133-809
3rd row133828
4th row133807
5th row133844
ValueCountFrequency (%)
133801 3
 
7.0%
133-010 2
 
4.7%
133820 2
 
4.7%
133-070 2
 
4.7%
133866 2
 
4.7%
133-865 2
 
4.7%
133828 2
 
4.7%
133100 2
 
4.7%
133-923 1
 
2.3%
133835 1
 
2.3%
Other values (24) 24
55.8%
2024-05-11T17:09:55.959503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 92
33.2%
1 51
18.4%
8 41
14.8%
0 23
 
8.3%
- 19
 
6.9%
2 14
 
5.1%
6 11
 
4.0%
7 9
 
3.2%
5 8
 
2.9%
4 7
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
93.1%
Dash Punctuation 19
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 92
35.7%
1 51
19.8%
8 41
15.9%
0 23
 
8.9%
2 14
 
5.4%
6 11
 
4.3%
7 9
 
3.5%
5 8
 
3.1%
4 7
 
2.7%
9 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 92
33.2%
1 51
18.4%
8 41
14.8%
0 23
 
8.3%
- 19
 
6.9%
2 14
 
5.1%
6 11
 
4.0%
7 9
 
3.2%
5 8
 
2.9%
4 7
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 92
33.2%
1 51
18.4%
8 41
14.8%
0 23
 
8.3%
- 19
 
6.9%
2 14
 
5.1%
6 11
 
4.0%
7 9
 
3.2%
5 8
 
2.9%
4 7
 
2.5%

지번주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T17:09:56.184048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length35
Mean length27.116279
Min length17

Characters and Unicode

Total characters1166
Distinct characters91
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

Unique43 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 성수동2가 289-4
2nd row서울특별시 성동구 금호동4가 548-1
3rd row서울특별시 성동구 성수동2가 339-5
4th row서울특별시 성동구 금호동3가 1331
5th row서울특별시 성동구 옥수동 436 극동그린상가 지101
ValueCountFrequency (%)
서울특별시 43
19.5%
성동구 43
19.5%
행당동 12
 
5.5%
성수동2가 9
 
4.1%
옥수동 6
 
2.7%
금호동1가 4
 
1.8%
지상1층 4
 
1.8%
지하1층 4
 
1.8%
성수동1가 4
 
1.8%
도선동 2
 
0.9%
Other values (75) 89
40.5%
2024-05-11T17:09:56.525467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
17.2%
동 93
 
8.0%
1 69
 
5.9%
성 59
 
5.1%
울 46
 
3.9%
서 44
 
3.8%
시 43
 
3.7%
별 43
 
3.7%
구 43
 
3.7%
특 43
 
3.7%
Other values (81) 483
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 681
58.4%
Decimal Number 237
 
20.3%
Space Separator 200
 
17.2%
Dash Punctuation 25
 
2.1%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%
Uppercase Letter 4
 
0.3%
Other Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 93
13.7%
성 59
 
8.7%
울 46
 
6.8%
서 44
 
6.5%
시 43
 
6.3%
별 43
 
6.3%
구 43
 
6.3%
특 43
 
6.3%
가 25
 
3.7%
수 22
 
3.2%
Other values (63) 220
32.3%
Decimal Number
ValueCountFrequency (%)
1 69
29.1%
3 29
12.2%
2 28
11.8%
0 20
 
8.4%
5 18
 
7.6%
6 18
 
7.6%
7 18
 
7.6%
4 17
 
7.2%
9 11
 
4.6%
8 9
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
L 1
 
25.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 681
58.4%
Common 481
41.3%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 93
13.7%
성 59
 
8.7%
울 46
 
6.8%
서 44
 
6.5%
시 43
 
6.3%
별 43
 
6.3%
구 43
 
6.3%
특 43
 
6.3%
가 25
 
3.7%
수 22
 
3.2%
Other values (63) 220
32.3%
Common
ValueCountFrequency (%)
200
41.6%
1 69
 
14.3%
3 29
 
6.0%
2 28
 
5.8%
- 25
 
5.2%
0 20
 
4.2%
5 18
 
3.7%
6 18
 
3.7%
7 18
 
3.7%
4 17
 
3.5%
Other values (6) 39
 
8.1%
Latin
ValueCountFrequency (%)
B 3
75.0%
L 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 681
58.4%
ASCII 485
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
41.2%
1 69
 
14.2%
3 29
 
6.0%
2 28
 
5.8%
- 25
 
5.2%
0 20
 
4.1%
5 18
 
3.7%
6 18
 
3.7%
7 18
 
3.7%
4 17
 
3.5%
Other values (8) 43
 
8.9%
Hangul
ValueCountFrequency (%)
동 93
13.7%
성 59
 
8.7%
울 46
 
6.8%
서 44
 
6.5%
시 43
 
6.3%
별 43
 
6.3%
구 43
 
6.3%
특 43
 
6.3%
가 25
 
3.7%
수 22
 
3.2%
Other values (63) 220
32.3%

도로명주소
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing10
Missing (%)23.3%
Memory size476.0 B
2024-05-11T17:09:56.821171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length50
Mean length42.181818
Min length25

Characters and Unicode

Total characters1392
Distinct characters105
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

Unique33 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 아차산로7길 28 (성수동2가, 289-4번지)
2nd row서울특별시 성동구 독서당로 302 (금호동4가, 548-1번지)
3rd row서울특별시 성동구 뚝섬로 400 (성수동2가, 339-5번지)
4th row서울특별시 성동구 행당로 84, 지하3층 (행당동, 346 한진타운상가)
5th row서울특별시 성동구 뚝섬로 379 (성수동2가)
ValueCountFrequency (%)
서울특별시 33
 
13.0%
성동구 33
 
13.0%
행당동 10
 
4.0%
1층 8
 
3.2%
지하1층 7
 
2.8%
성수동2가 7
 
2.8%
옥수동 6
 
2.4%
지상1층 5
 
2.0%
성덕정길 3
 
1.2%
성수동1가 3
 
1.2%
Other values (112) 138
54.5%
2024-05-11T17:09:57.271051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
15.9%
1 91
 
6.5%
동 77
 
5.5%
, 71
 
5.1%
성 50
 
3.6%
2 48
 
3.4%
서 38
 
2.7%
울 35
 
2.5%
) 34
 
2.4%
구 34
 
2.4%
Other values (95) 693
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 720
51.7%
Decimal Number 300
21.6%
Space Separator 221
 
15.9%
Other Punctuation 71
 
5.1%
Close Punctuation 34
 
2.4%
Open Punctuation 34
 
2.4%
Dash Punctuation 6
 
0.4%
Uppercase Letter 5
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
 
10.7%
성 50
 
6.9%
서 38
 
5.3%
울 35
 
4.9%
구 34
 
4.7%
시 33
 
4.6%
별 33
 
4.6%
특 33
 
4.6%
층 29
 
4.0%
지 29
 
4.0%
Other values (77) 329
45.7%
Decimal Number
ValueCountFrequency (%)
1 91
30.3%
2 48
16.0%
3 33
 
11.0%
0 32
 
10.7%
4 29
 
9.7%
5 22
 
7.3%
6 15
 
5.0%
7 13
 
4.3%
9 10
 
3.3%
8 7
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
L 1
 
20.0%
Space Separator
ValueCountFrequency (%)
221
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 720
51.7%
Common 667
47.9%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
 
10.7%
성 50
 
6.9%
서 38
 
5.3%
울 35
 
4.9%
구 34
 
4.7%
시 33
 
4.6%
별 33
 
4.6%
특 33
 
4.6%
층 29
 
4.0%
지 29
 
4.0%
Other values (77) 329
45.7%
Common
ValueCountFrequency (%)
221
33.1%
1 91
13.6%
, 71
 
10.6%
2 48
 
7.2%
) 34
 
5.1%
( 34
 
5.1%
3 33
 
4.9%
0 32
 
4.8%
4 29
 
4.3%
5 22
 
3.3%
Other values (6) 52
 
7.8%
Latin
ValueCountFrequency (%)
B 4
80.0%
L 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 720
51.7%
ASCII 672
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
32.9%
1 91
13.5%
, 71
 
10.6%
2 48
 
7.1%
) 34
 
5.1%
( 34
 
5.1%
3 33
 
4.9%
0 32
 
4.8%
4 29
 
4.3%
5 22
 
3.3%
Other values (8) 57
 
8.5%
Hangul
ValueCountFrequency (%)
동 77
 
10.7%
성 50
 
6.9%
서 38
 
5.3%
울 35
 
4.9%
구 34
 
4.7%
시 33
 
4.6%
별 33
 
4.6%
특 33
 
4.6%
층 29
 
4.0%
지 29
 
4.0%
Other values (77) 329
45.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)75.0%
Missing11
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean4743.125
Minimum4700
Maximum4797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T17:09:57.416076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4700.55
Q14714.75
median4739
Q34774.5
95-th percentile4791.15
Maximum4797
Range97
Interquartile range (IQR)59.75

Descriptive statistics

Standard deviation31.288202
Coefficient of variation (CV)0.0065965376
Kurtosis-1.3245653
Mean4743.125
Median Absolute Deviation (MAD)28
Skewness0.20151304
Sum151780
Variance978.95161
MonotonicityNot monotonic
2024-05-11T17:09:57.545437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4776 3
 
7.0%
4700 2
 
4.7%
4745 2
 
4.7%
4709 2
 
4.7%
4750 2
 
4.7%
4774 2
 
4.7%
4739 2
 
4.7%
4714 1
 
2.3%
4783 1
 
2.3%
4765 1
 
2.3%
Other values (14) 14
32.6%
(Missing) 11
25.6%
ValueCountFrequency (%)
4700 2
4.7%
4701 1
2.3%
4702 1
2.3%
4709 2
4.7%
4713 1
2.3%
4714 1
2.3%
4715 1
2.3%
4717 1
2.3%
4718 1
2.3%
4724 1
2.3%
ValueCountFrequency (%)
4797 1
 
2.3%
4795 1
 
2.3%
4788 1
 
2.3%
4783 1
 
2.3%
4781 1
 
2.3%
4776 3
7.0%
4774 2
4.7%
4765 1
 
2.3%
4750 2
4.7%
4745 2
4.7%

사업장명
Text

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T17:09:57.749271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length9.2790698
Min length4

Characters and Unicode

Total characters399
Distinct characters114
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

Unique36 ?
Unique (%)83.7%

Sample

1st row롯데쇼핑(주)롯데슈퍼성수점
2nd row중앙할인마트
3rd row삼부개발(주)
4th row케이엠아주마트(주)
5th row크로바유통
ValueCountFrequency (%)
웰빙마트 3
 
4.8%
옥수점 2
 
3.2%
지에스 2
 
3.2%
주)이마트 2
 
3.2%
주)지에스리테일 2
 
3.2%
할인마트 2
 
3.2%
형부네 2
 
3.2%
더프레시 2
 
3.2%
왕십리점 2
 
3.2%
중앙할인마트 2
 
3.2%
Other values (41) 41
66.1%
2024-05-11T17:09:58.118010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 26
 
6.5%
트 25
 
6.3%
19
 
4.8%
주 17
 
4.3%
점 16
 
4.0%
스 16
 
4.0%
( 15
 
3.8%
) 15
 
3.8%
이 10
 
2.5%
리 9
 
2.3%
Other values (104) 231
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
86.5%
Space Separator 19
 
4.8%
Open Punctuation 15
 
3.8%
Close Punctuation 15
 
3.8%
Uppercase Letter 4
 
1.0%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 26
 
7.5%
트 25
 
7.2%
주 17
 
4.9%
점 16
 
4.6%
스 16
 
4.6%
이 10
 
2.9%
리 9
 
2.6%
수 9
 
2.6%
성 9
 
2.6%
인 6
 
1.7%
Other values (98) 202
58.6%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
S 2
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
86.5%
Common 50
 
12.5%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 26
 
7.5%
트 25
 
7.2%
주 17
 
4.9%
점 16
 
4.6%
스 16
 
4.6%
이 10
 
2.9%
리 9
 
2.6%
수 9
 
2.6%
성 9
 
2.6%
인 6
 
1.7%
Other values (98) 202
58.6%
Common
ValueCountFrequency (%)
19
38.0%
( 15
30.0%
) 15
30.0%
2 1
 
2.0%
Latin
ValueCountFrequency (%)
G 2
50.0%
S 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
86.5%
ASCII 54
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 26
 
7.5%
트 25
 
7.2%
주 17
 
4.9%
점 16
 
4.6%
스 16
 
4.6%
이 10
 
2.9%
리 9
 
2.6%
수 9
 
2.6%
성 9
 
2.6%
인 6
 
1.7%
Other values (98) 202
58.6%
ASCII
ValueCountFrequency (%)
19
35.2%
( 15
27.8%
) 15
27.8%
G 2
 
3.7%
S 2
 
3.7%
2 1
 
1.9%

최종수정일자
Date

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2001-11-28 00:00:00
Maximum2024-05-07 11:05:51
2024-05-11T17:09:58.249563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:09:58.389184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
U
24 
I
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 24
55.8%
I 19
44.2%

Length

2024-05-11T17:09:58.528241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:58.633299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 24
55.8%
i 19
44.2%

데이터갱신일자
Date

Distinct25
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T17:09:58.737255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:09:58.870265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
기타식품판매업
43 

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 43
100.0%

Length

2024-05-11T17:09:58.999094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:59.091323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 43
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)73.2%
Missing2
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean203015.81
Minimum200812.99
Maximum205260.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T17:09:59.197338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200812.99
5-th percentile201351.26
Q1202113.87
median202814.56
Q3204093.4
95-th percentile205039.91
Maximum205260.83
Range4447.8351
Interquartile range (IQR)1979.5266

Descriptive statistics

Standard deviation1307.4476
Coefficient of variation (CV)0.0064401271
Kurtosis-1.1222207
Mean203015.81
Median Absolute Deviation (MAD)1276.5047
Skewness0.21633779
Sum8323648.2
Variance1709419.3
MonotonicityNot monotonic
2024-05-11T17:09:59.313078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
202326.503044305 2
 
4.7%
204093.39625466 2
 
4.7%
204091.654544135 2
 
4.7%
202113.869605464 2
 
4.7%
201538.05612719 2
 
4.7%
203017.021457357 2
 
4.7%
203071.959180897 2
 
4.7%
202202.413055491 2
 
4.7%
201383.023709556 2
 
4.7%
205039.907145725 2
 
4.7%
Other values (20) 21
48.8%
ValueCountFrequency (%)
200812.992681398 1
2.3%
200886.870660767 1
2.3%
201351.262347 1
2.3%
201383.023709556 2
4.7%
201462.251313062 1
2.3%
201538.05612719 2
4.7%
201924.287403479 1
2.3%
202113.869605464 2
4.7%
202202.413055491 2
4.7%
202326.470897024 1
2.3%
ValueCountFrequency (%)
205260.827743854 1
2.3%
205039.907145725 2
4.7%
204993.190198642 1
2.3%
204830.977323063 1
2.3%
204799.750078838 1
2.3%
204788.453049484 2
4.7%
204614.272744322 1
2.3%
204093.39625466 2
4.7%
204091.654544135 2
4.7%
203477.905432913 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)73.2%
Missing2
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean449893.05
Minimum448317.87
Maximum451906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T17:09:59.440599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448317.87
5-th percentile448470.24
Q1448894.76
median449744.28
Q3450665.53
95-th percentile451897.58
Maximum451906
Range3588.1276
Interquartile range (IQR)1770.7774

Descriptive statistics

Standard deviation1107.7164
Coefficient of variation (CV)0.0024621773
Kurtosis-1.1240777
Mean449893.05
Median Absolute Deviation (MAD)921.25212
Skewness0.29866534
Sum18445615
Variance1227035.7
MonotonicityNot monotonic
2024-05-11T17:09:59.569094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
450625.58422744 2
 
4.7%
449695.084129637 2
 
4.7%
448552.58309958 2
 
4.7%
451897.581865192 2
 
4.7%
448894.755196992 2
 
4.7%
451346.281102634 2
 
4.7%
450665.532604254 2
 
4.7%
449934.083414549 2
 
4.7%
449744.280482389 2
 
4.7%
449216.223655036 2
 
4.7%
Other values (20) 21
48.8%
ValueCountFrequency (%)
448317.872400495 1
2.3%
448399.948660115 1
2.3%
448470.237859432 2
4.7%
448552.58309958 2
4.7%
448607.441251647 1
2.3%
448744.038108098 1
2.3%
448781.031448647 1
2.3%
448855.571620972 1
2.3%
448894.755196992 2
4.7%
449015.529617758 1
2.3%
ValueCountFrequency (%)
451906.0 1
2.3%
451897.581865192 2
4.7%
451536.680876573 1
2.3%
451346.281102634 2
4.7%
451267.730901002 1
2.3%
451001.868687869 1
2.3%
450902.091780932 1
2.3%
450889.33328262 1
2.3%
450665.532604254 2
4.7%
450625.58422744 2
4.7%

위생업태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
기타식품판매업
23 
<NA>
20 

Length

Max length7
Median length7
Mean length5.6046512
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 23
53.5%
<NA> 20
46.5%

Length

2024-05-11T17:09:59.732299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:09:59.832384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 23
53.5%
na 20
46.5%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
38 
0
4 
15
 
1

Length

Max length4
Median length4
Mean length3.6744186
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
88.4%
0 4
 
9.3%
15 1
 
2.3%

Length

2024-05-11T17:09:59.945349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:00.079668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
88.4%
0 4
 
9.3%
15 1
 
2.3%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
38 
0
4 
40
 
1

Length

Max length4
Median length4
Mean length3.6744186
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
88.4%
0 4
 
9.3%
40 1
 
2.3%

Length

2024-05-11T17:10:00.236785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:00.376835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
88.4%
0 4
 
9.3%
40 1
 
2.3%

영업장주변구분명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing38
Missing (%)88.4%
Memory size476.0 B
2024-05-11T17:10:00.493212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.4
Min length2

Characters and Unicode

Total characters22
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row기타
2nd row주택가주변
3rd row아파트지역
4th row주택가주변
5th row아파트지역
ValueCountFrequency (%)
주택가주변 2
40.0%
아파트지역 2
40.0%
기타 1
20.0%
2024-05-11T17:10:00.743964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
18.2%
택 2
9.1%
가 2
9.1%
변 2
9.1%
아 2
9.1%
파 2
9.1%
트 2
9.1%
지 2
9.1%
역 2
9.1%
기 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
18.2%
택 2
9.1%
가 2
9.1%
변 2
9.1%
아 2
9.1%
파 2
9.1%
트 2
9.1%
지 2
9.1%
역 2
9.1%
기 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
18.2%
택 2
9.1%
가 2
9.1%
변 2
9.1%
아 2
9.1%
파 2
9.1%
트 2
9.1%
지 2
9.1%
역 2
9.1%
기 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
18.2%
택 2
9.1%
가 2
9.1%
변 2
9.1%
아 2
9.1%
파 2
9.1%
트 2
9.1%
지 2
9.1%
역 2
9.1%
기 1
 
4.5%

등급구분명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing38
Missing (%)88.4%
Memory size476.0 B
2024-05-11T17:10:00.873996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters10
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row자율
2nd row자율
3rd row우수
4th row기타
5th row기타
ValueCountFrequency (%)
자율 2
40.0%
기타 2
40.0%
우수 1
20.0%
2024-05-11T17:10:01.114349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 2
20.0%
율 2
20.0%
기 2
20.0%
타 2
20.0%
우 1
10.0%
수 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 2
20.0%
율 2
20.0%
기 2
20.0%
타 2
20.0%
우 1
10.0%
수 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 2
20.0%
율 2
20.0%
기 2
20.0%
타 2
20.0%
우 1
10.0%
수 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 2
20.0%
율 2
20.0%
기 2
20.0%
타 2
20.0%
우 1
10.0%
수 1
10.0%

급수시설구분명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
37 
상수도전용
6 

Length

Max length5
Median length4
Mean length4.1395349
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
86.0%
상수도전용 6
 
14.0%

Length

2024-05-11T17:10:01.236785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:01.344068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
86.0%
상수도전용 6
 
14.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-05-11T17:10:01.453218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:01.567672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

본사종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
25 
0
18 

Length

Max length4
Median length4
Mean length2.744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
58.1%
0 18
41.9%

Length

2024-05-11T17:10:01.687411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:01.808892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
58.1%
0 18
41.9%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
25 
0
18 

Length

Max length4
Median length4
Mean length2.744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
58.1%
0 18
41.9%

Length

2024-05-11T17:10:01.925450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:02.036530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
58.1%
0 18
41.9%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
25 
0
18 

Length

Max length4
Median length4
Mean length2.744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
58.1%
0 18
41.9%

Length

2024-05-11T17:10:02.146754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:02.250920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
58.1%
0 18
41.9%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
25 
0
18 

Length

Max length4
Median length4
Mean length2.744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
58.1%
0 18
41.9%

Length

2024-05-11T17:10:02.382692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:02.490175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
58.1%
0 18
41.9%

건물소유구분명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
33 
자가
8 
임대
 
2

Length

Max length4
Median length4
Mean length3.5348837
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> 33
76.7%
자가 8
 
18.6%
임대 2
 
4.7%

Length

2024-05-11T17:10:02.600665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:02.975239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
76.7%
자가 8
 
18.6%
임대 2
 
4.7%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-05-11T17:10:03.084539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:03.197487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
0
 
1

Length

Max length4
Median length4
Mean length3.9302326
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
0 1
 
2.3%

Length

2024-05-11T17:10:03.307120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:03.420365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
0 1
 
2.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)4.3%
Missing20
Missing (%)46.5%
Memory size218.0 B
False
23 
(Missing)
20 
ValueCountFrequency (%)
False 23
53.5%
(Missing) 20
46.5%
2024-05-11T17:10:03.501179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
22 
<NA>
20 
7840
 
1

Length

Max length4
Median length1
Mean length2.4651163
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
51.2%
<NA> 20
46.5%
7840 1
 
2.3%

Length

2024-05-11T17:10:03.597723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:03.708655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
51.2%
na 20
46.5%
7840 1
 
2.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-114-1996-003831996-07-03<NA>3폐업2폐업2023-08-24<NA><NA><NA>02 4615601651.29133-834서울특별시 성동구 성수동2가 289-4서울특별시 성동구 아차산로7길 28 (성수동2가, 289-4번지)4795롯데쇼핑(주)롯데슈퍼성수점2023-08-24 11:42:41U2022-12-07 22:06:00.0기타식품판매업204830.977323449477.44846<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130300003030000-114-1996-007371996-07-03<NA>1영업/정상1영업<NA><NA><NA><NA>0222949114546.00133-809서울특별시 성동구 금호동4가 548-1서울특별시 성동구 독서당로 302 (금호동4가, 548-1번지)4737중앙할인마트2023-09-20 15:28:12U2022-12-08 22:02:00.0기타식품판매업201924.287403449505.433238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
230300003030000-114-1996-0073819960703<NA>3폐업2폐업20160906<NA><NA><NA>02 4643531342.00133828서울특별시 성동구 성수동2가 339-5서울특별시 성동구 뚝섬로 400 (성수동2가, 339-5번지)4776삼부개발(주)2012-11-22 11:05:49I2018-08-31 23:59:59.0기타식품판매업204788.453049448470.237859기타식품판매업<NA><NA>기타자율상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
330300003030000-114-1997-0038519970305<NA>3폐업2폐업20100813<NA><NA><NA>0222375613504.50133807서울특별시 성동구 금호동3가 1331<NA><NA>케이엠아주마트(주)2001-11-28 00:00:00I2018-08-31 23:59:59.0기타식품판매업201383.02371449744.280482기타식품판매업00주택가주변자율상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
430300003030000-114-1999-0038419960822<NA>3폐업2폐업20041103<NA><NA><NA>0222984366762.00133844서울특별시 성동구 옥수동 436 극동그린상가 지101<NA><NA>크로바유통2001-11-28 00:00:00I2018-08-31 23:59:59.0기타식품판매업200812.992681448855.571621기타식품판매업00아파트지역우수상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
530300003030000-114-1999-0052819990312<NA>3폐업2폐업20001215<NA><NA><NA>02340925274,207.57133832서울특별시 성동구 성수동2가 277-17 (성수아카데미타워 지1층)<NA><NA>(주)라성2001-11-28 00:00:00I2018-08-31 23:59:59.0기타식품판매업205039.907146449216.223655기타식품판매업1540주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
630300003030000-114-1999-005911999-09-07<NA>1영업/정상1영업<NA><NA><NA><NA>02229070212701.00133-070서울특별시 성동구 행당동 346서울특별시 성동구 행당로 84, 지하3층 (행당동, 346 한진타운상가)4717롯데쇼핑(주)롯데마트행당역점2023-06-08 15:43:00U2022-12-05 23:00:00.0기타식품판매업202511.142931450401.303716<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
730300003030000-114-1999-0062019991112<NA>3폐업2폐업20070307<NA><NA><NA>02229852221,239.80133868서울특별시 성동구 행당동 317-40 행당대림리빙프라자(지하1)<NA><NA>대림리빙마트유통2001-11-28 00:00:00I2018-08-31 23:59:59.0기타식품판매업<NA><NA>기타식품판매업00아파트지역기타상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
830300003030000-114-2001-008052001-04-13<NA>3폐업2폐업2023-05-17<NA><NA><NA>023408123427271.27133-827서울특별시 성동구 성수동2가 333-16서울특별시 성동구 뚝섬로 379 (성수동2가)4781(주)이마트성수점2023-05-17 16:35:31U2022-12-04 23:09:00.0기타식품판매업204614.272744448607.441252<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
930300003030000-114-2001-0080620010724<NA>3폐업2폐업20040205<NA><NA><NA>02229494941,484.00133801서울특별시 성동구 금호동1가 633<NA><NA>(주)광화유통2001-11-28 00:00:00I2018-08-31 23:59:59.0기타식품판매업202326.470897449954.683065기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3330300003030000-114-2015-0000420150521<NA>3폐업2폐업20191031<NA><NA><NA>02 20062356958.80133854서울특별시 성동구 하왕십리동 339-67서울특별시 성동구 무학로 33, 151동 지하1층 B101호 (하왕십리동, 왕십리1구역 텐즈힐아파트 상가)4702(주)지에스리테일 GS수퍼 왕십리뉴타운점2019-10-31 11:38:57U2019-11-02 02:40:00.0기타식품판매업202475.0451906.0기타식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
3430300003030000-114-2015-0000520150701<NA>3폐업2폐업20171206<NA><NA><NA><NA>525.00133820서울특별시 성동구 성수동1가 102-2서울특별시 성동구 성덕정길 29, 지1층, 1층 (성수동1가)4774(주)뚝섬현대유통2017-12-06 15:09:16I2018-08-31 23:59:59.0기타식품판매업204091.654544448552.5831기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
3530300003030000-114-2017-000012017-01-31<NA>1영업/정상1영업<NA><NA><NA><NA>0222957377467.00133-855서울특별시 성동구 하왕십리동 700 센트라스6획지 상가동 L층 B102호, B103호서울특별시 성동구 왕십리로 410, 상가동 L층 B102호, B103호 (하왕십리동, 센트라스6획지)4701지에스 더프레시 상왕십리역점2023-08-07 13:39:42U2022-12-08 00:09:00.0기타식품판매업202372.912024451536.680877<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3630300003030000-114-2018-0000120180319<NA>3폐업2폐업20220428<NA><NA><NA><NA>307.43133866서울특별시 성동구 행당동 155-1 서울숲 더샵서울특별시 성동구 왕십리로 241, 지하1층 (행당동, 서울숲 더샵)4765노브랜드엔터식스한양대점2022-04-28 14:40:09U2021-12-03 21:00:00.0기타식품판매업203477.905433450542.454417<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3730300003030000-114-2020-0000120200715<NA>1영업/정상1영업<NA><NA><NA><NA><NA>930.00133100서울특별시 성동구 옥수동 560 옥수 어울림서울특별시 성동구 독서당로40길 39, 지하2층 214,215,225,226호 (옥수동)4739웰빙마트2020-07-15 14:05:54I2020-07-17 00:23:15.0기타식품판매업201538.056127448894.755197기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0<NA><NA><NA>
3830300003030000-114-2021-0000120210408<NA>1영업/정상1영업<NA><NA><NA><NA><NA>315.24133820서울특별시 성동구 성수동1가 102-2 현대빌딩서울특별시 성동구 성덕정길 29, 1층 (성수동1가)4774현대마트2021-04-08 13:46:25I2021-04-10 00:23:08.0기타식품판매업204091.654544448552.5831기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0<NA><NA><NA>
3930300003030000-114-2021-0000220210415<NA>3폐업2폐업20210930<NA><NA><NA>0261065914303.47133835서울특별시 성동구 성수동2가 317-4 청운재서울특별시 성동구 연무장11길 15, 지하1층 (성수동2가)4783요마트 성수점2021-09-30 15:27:52U2021-10-02 02:40:00.0기타식품판매업204993.190199449015.529618기타식품판매업00<NA><NA><NA>00000자가00N0<NA><NA><NA>
4030300003030000-114-2023-000012023-08-16<NA>1영업/정상1영업<NA><NA><NA><NA>02 22975180327.20133-010서울특별시 성동구 상왕십리동 811 텐즈힐서울특별시 성동구 마장로 137, 221동 1230,1231,1232,1233,1234호 (상왕십리동, 텐즈힐)4700지에스 더프레시 성동텐즈힐점2023-12-26 10:27:34U2022-11-01 22:08:00.0기타식품판매업202113.869605451897.581865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4130300003030000-114-2023-000022023-12-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 22991077519.84133-872서울특별시 성동구 행당동 298-9서울특별시 성동구 왕십리로21나길 5, 1층 (행당동)4714형부네 할인마트2023-12-26 14:40:39I2022-11-01 22:08:00.0기타식품판매업202787.326256450889.333283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4230300003030000-114-2024-000012024-01-23<NA>1영업/정상1영업<NA><NA><NA><NA>02 20881169904.32133-865서울특별시 성동구 행당동 140 행당동 레몬프라자서울특별시 성동구 고산자로6길 40, 행당동 레몬프라자 1층 101호, 102호 (행당동)4745(주)이마트에브리데이 행당점2024-05-07 11:05:51U2023-12-05 00:09:00.0기타식품판매업203071.959181450665.532604<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>