Overview

Dataset statistics

Number of variables44
Number of observations44
Missing cells494
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.3 KiB
Average record size in memory380.0 B

Variable types

Categorical19
Text8
DateTime4
Unsupported9
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-18040/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
급수시설구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
보증액 is highly imbalanced (56.2%)Imbalance
월세액 is highly imbalanced (56.2%)Imbalance
인허가취소일자 has 44 (100.0%) missing valuesMissing
폐업일자 has 18 (40.9%) missing valuesMissing
휴업시작일자 has 44 (100.0%) missing valuesMissing
휴업종료일자 has 44 (100.0%) missing valuesMissing
재개업일자 has 44 (100.0%) missing valuesMissing
전화번호 has 11 (25.0%) missing valuesMissing
소재지우편번호 has 1 (2.3%) missing valuesMissing
지번주소 has 1 (2.3%) missing valuesMissing
도로명주소 has 4 (9.1%) missing valuesMissing
도로명우편번호 has 5 (11.4%) missing valuesMissing
영업장주변구분명 has 44 (100.0%) missing valuesMissing
등급구분명 has 44 (100.0%) missing valuesMissing
급수시설구분명 has 42 (95.5%) missing valuesMissing
다중이용업소여부 has 16 (36.4%) missing valuesMissing
전통업소지정번호 has 44 (100.0%) missing valuesMissing
전통업소주된음식 has 44 (100.0%) missing valuesMissing
홈페이지 has 44 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 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 05:24:22.253111
Analysis finished2024-05-11 05:24:23.554401
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
3130000
44 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 44
100.0%

Length

2024-05-11T05:24:23.759238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:24.003383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 44
100.0%

관리번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T05:24:24.398576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters968
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

Unique44 ?
Unique (%)100.0%

Sample

1st row3130000-122-2008-00001
2nd row3130000-122-2008-00002
3rd row3130000-122-2008-00003
4th row3130000-122-2008-00004
5th row3130000-122-2009-00001
ValueCountFrequency (%)
3130000-122-2008-00001 1
 
2.3%
3130000-122-2008-00002 1
 
2.3%
3130000-122-2022-00001 1
 
2.3%
3130000-122-2020-00001 1
 
2.3%
3130000-122-2021-00001 1
 
2.3%
3130000-122-2021-00002 1
 
2.3%
3130000-122-2021-00003 1
 
2.3%
3130000-122-2021-00004 1
 
2.3%
3130000-122-2021-00005 1
 
2.3%
3130000-122-2021-00006 1
 
2.3%
Other values (34) 34
77.3%
2024-05-11T05:24:25.312661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 404
41.7%
2 173
17.9%
1 133
 
13.7%
- 132
 
13.6%
3 101
 
10.4%
8 6
 
0.6%
4 6
 
0.6%
5 4
 
0.4%
6 4
 
0.4%
7 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 836
86.4%
Dash Punctuation 132
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 404
48.3%
2 173
20.7%
1 133
 
15.9%
3 101
 
12.1%
8 6
 
0.7%
4 6
 
0.7%
5 4
 
0.5%
6 4
 
0.5%
7 3
 
0.4%
9 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 404
41.7%
2 173
17.9%
1 133
 
13.7%
- 132
 
13.6%
3 101
 
10.4%
8 6
 
0.6%
4 6
 
0.6%
5 4
 
0.4%
6 4
 
0.4%
7 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 404
41.7%
2 173
17.9%
1 133
 
13.7%
- 132
 
13.6%
3 101
 
10.4%
8 6
 
0.6%
4 6
 
0.6%
5 4
 
0.4%
6 4
 
0.4%
7 3
 
0.3%

인허가일자
Date

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2008-08-01 00:00:00
Maximum2023-09-08 00:00:00
2024-05-11T05:24:25.765889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:24:26.293415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
26 
1
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 26
59.1%
1 18
40.9%

Length

2024-05-11T05:24:26.799116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:27.126789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 26
59.1%
1 18
40.9%

영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
26 
영업/정상
18 

Length

Max length5
Median length2
Mean length3.2272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
59.1%
영업/정상 18
40.9%

Length

2024-05-11T05:24:27.624339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:28.025976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
59.1%
영업/정상 18
40.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2
26 
1
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 26
59.1%
1 18
40.9%

Length

2024-05-11T05:24:28.329891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:28.722651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 26
59.1%
1 18
40.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
26 
영업
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 26
59.1%
영업 18
40.9%

Length

2024-05-11T05:24:29.134736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:29.464172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 26
59.1%
영업 18
40.9%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)92.3%
Missing18
Missing (%)40.9%
Memory size484.0 B
Minimum2008-09-10 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T05:24:29.949984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:24:30.465588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

전화번호
Text

MISSING 

Distinct31
Distinct (%)93.9%
Missing11
Missing (%)25.0%
Memory size484.0 B
2024-05-11T05:24:30.953089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.909091
Min length10

Characters and Unicode

Total characters360
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

Unique29 ?
Unique (%)87.9%

Sample

1st row02 706 0182
2nd row02 375 2311
3rd row02 338 4892
4th row02 375 2311
5th row02 325 0595
ValueCountFrequency (%)
02 23
32.9%
0231528088 2
 
2.9%
375 2
 
2.9%
2311 2
 
2.9%
714 2
 
2.9%
1615 1
 
1.4%
07082465258 1
 
1.4%
0220015519 1
 
1.4%
20945800 1
 
1.4%
706 1
 
1.4%
Other values (34) 34
48.6%
2024-05-11T05:24:32.044190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
17.5%
2 56
15.6%
49
13.6%
3 41
11.4%
1 32
8.9%
5 31
8.6%
8 19
 
5.3%
7 19
 
5.3%
4 19
 
5.3%
6 17
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 311
86.4%
Space Separator 49
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
20.3%
2 56
18.0%
3 41
13.2%
1 32
10.3%
5 31
10.0%
8 19
 
6.1%
7 19
 
6.1%
4 19
 
6.1%
6 17
 
5.5%
9 14
 
4.5%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63
17.5%
2 56
15.6%
49
13.6%
3 41
11.4%
1 32
8.9%
5 31
8.6%
8 19
 
5.3%
7 19
 
5.3%
4 19
 
5.3%
6 17
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
17.5%
2 56
15.6%
49
13.6%
3 41
11.4%
1 32
8.9%
5 31
8.6%
8 19
 
5.3%
7 19
 
5.3%
4 19
 
5.3%
6 17
 
4.7%

소재지면적
Text

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T05:24:32.686464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.0454545
Min length4

Characters and Unicode

Total characters222
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

Unique38 ?
Unique (%)86.4%

Sample

1st row46.99
2nd row9.92
3rd row590.74
4th row9.92
5th row167.58
ValueCountFrequency (%)
49.50 2
 
4.5%
6.00 2
 
4.5%
9.92 2
 
4.5%
898.73 1
 
2.3%
198.00 1
 
2.3%
11.00 1
 
2.3%
48.42 1
 
2.3%
26.85 1
 
2.3%
26.19 1
 
2.3%
52.24 1
 
2.3%
Other values (31) 31
70.5%
2024-05-11T05:24:33.765038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 44
19.8%
0 42
18.9%
9 20
9.0%
4 19
8.6%
2 17
 
7.7%
1 17
 
7.7%
5 15
 
6.8%
6 14
 
6.3%
8 13
 
5.9%
3 13
 
5.9%
Other values (2) 8
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 177
79.7%
Other Punctuation 45
 
20.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
23.7%
9 20
11.3%
4 19
10.7%
2 17
9.6%
1 17
9.6%
5 15
 
8.5%
6 14
 
7.9%
8 13
 
7.3%
3 13
 
7.3%
7 7
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 44
97.8%
, 1
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 222
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 44
19.8%
0 42
18.9%
9 20
9.0%
4 19
8.6%
2 17
 
7.7%
1 17
 
7.7%
5 15
 
6.8%
6 14
 
6.3%
8 13
 
5.9%
3 13
 
5.9%
Other values (2) 8
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 44
19.8%
0 42
18.9%
9 20
9.0%
4 19
8.6%
2 17
 
7.7%
1 17
 
7.7%
5 15
 
6.8%
6 14
 
6.3%
8 13
 
5.9%
3 13
 
5.9%
Other values (2) 8
 
3.6%

소재지우편번호
Text

MISSING 

Distinct31
Distinct (%)72.1%
Missing1
Missing (%)2.3%
Memory size484.0 B
2024-05-11T05:24:34.436498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2790698
Min length6

Characters and Unicode

Total characters270
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

Unique22 ?
Unique (%)51.2%

Sample

1st row121815
2nd row121830
3rd row121848
4th row121830
5th row121888
ValueCountFrequency (%)
121827 4
 
9.3%
121898 3
 
7.0%
121839 2
 
4.7%
121830 2
 
4.7%
121-849 2
 
4.7%
121815 2
 
4.7%
121-914 2
 
4.7%
121854 2
 
4.7%
121-883 2
 
4.7%
121795 1
 
2.3%
Other values (21) 21
48.8%
2024-05-11T05:24:35.570898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 98
36.3%
2 50
18.5%
8 48
17.8%
9 16
 
5.9%
- 12
 
4.4%
4 10
 
3.7%
7 8
 
3.0%
5 8
 
3.0%
3 7
 
2.6%
0 7
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
95.6%
Dash Punctuation 12
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 98
38.0%
2 50
19.4%
8 48
18.6%
9 16
 
6.2%
4 10
 
3.9%
7 8
 
3.1%
5 8
 
3.1%
3 7
 
2.7%
0 7
 
2.7%
6 6
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 98
36.3%
2 50
18.5%
8 48
17.8%
9 16
 
5.9%
- 12
 
4.4%
4 10
 
3.7%
7 8
 
3.0%
5 8
 
3.0%
3 7
 
2.6%
0 7
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 98
36.3%
2 50
18.5%
8 48
17.8%
9 16
 
5.9%
- 12
 
4.4%
4 10
 
3.7%
7 8
 
3.0%
5 8
 
3.0%
3 7
 
2.6%
0 7
 
2.6%

지번주소
Text

MISSING 

Distinct40
Distinct (%)93.0%
Missing1
Missing (%)2.3%
Memory size484.0 B
2024-05-11T05:24:36.306131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length24.674419
Min length17

Characters and Unicode

Total characters1061
Distinct characters107
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)86.0%

Sample

1st row서울특별시 마포구 도화동 556 SK허브그린 1408호
2nd row서울특별시 마포구 상암동 12-78 지층
3rd row서울특별시 마포구 성산동 262-1
4th row서울특별시 마포구 상암동 12-78 1층2호(지하)
5th row서울특별시 마포구 합정동 443-5 지층, 1층
ValueCountFrequency (%)
서울특별시 43
20.8%
마포구 43
20.8%
상암동 6
 
2.9%
서교동 6
 
2.9%
동교동 5
 
2.4%
성산동 5
 
2.4%
도화동 4
 
1.9%
망원동 4
 
1.9%
158-6 4
 
1.9%
합정동 4
 
1.9%
Other values (70) 83
40.1%
2024-05-11T05:24:37.553557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
17.8%
서 49
 
4.6%
동 48
 
4.5%
시 46
 
4.3%
마 46
 
4.3%
포 46
 
4.3%
구 45
 
4.2%
1 45
 
4.2%
특 43
 
4.1%
별 43
 
4.1%
Other values (97) 461
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
57.5%
Decimal Number 209
 
19.7%
Space Separator 189
 
17.8%
Dash Punctuation 33
 
3.1%
Uppercase Letter 9
 
0.8%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Other Punctuation 2
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 49
 
8.0%
동 48
 
7.9%
시 46
 
7.5%
마 46
 
7.5%
포 46
 
7.5%
구 45
 
7.4%
특 43
 
7.0%
별 43
 
7.0%
울 43
 
7.0%
교 11
 
1.8%
Other values (75) 190
31.1%
Decimal Number
ValueCountFrequency (%)
1 45
21.5%
5 29
13.9%
3 25
12.0%
4 24
11.5%
2 21
10.0%
6 18
 
8.6%
8 16
 
7.7%
0 12
 
5.7%
7 11
 
5.3%
9 8
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
D 2
22.2%
M 2
22.2%
A 1
11.1%
S 1
11.1%
K 1
11.1%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
57.5%
Common 441
41.6%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 49
 
8.0%
동 48
 
7.9%
시 46
 
7.5%
마 46
 
7.5%
포 46
 
7.5%
구 45
 
7.4%
특 43
 
7.0%
별 43
 
7.0%
울 43
 
7.0%
교 11
 
1.8%
Other values (75) 190
31.1%
Common
ValueCountFrequency (%)
189
42.9%
1 45
 
10.2%
- 33
 
7.5%
5 29
 
6.6%
3 25
 
5.7%
4 24
 
5.4%
2 21
 
4.8%
6 18
 
4.1%
8 16
 
3.6%
0 12
 
2.7%
Other values (5) 29
 
6.6%
Latin
ValueCountFrequency (%)
C 2
20.0%
D 2
20.0%
M 2
20.0%
A 1
10.0%
S 1
10.0%
K 1
10.0%
Ⅱ 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
57.5%
ASCII 450
42.4%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
42.0%
1 45
 
10.0%
- 33
 
7.3%
5 29
 
6.4%
3 25
 
5.6%
4 24
 
5.3%
2 21
 
4.7%
6 18
 
4.0%
8 16
 
3.6%
0 12
 
2.7%
Other values (11) 38
 
8.4%
Hangul
ValueCountFrequency (%)
서 49
 
8.0%
동 48
 
7.9%
시 46
 
7.5%
마 46
 
7.5%
포 46
 
7.5%
구 45
 
7.4%
특 43
 
7.0%
별 43
 
7.0%
울 43
 
7.0%
교 11
 
1.8%
Other values (75) 190
31.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct40
Distinct (%)100.0%
Missing4
Missing (%)9.1%
Memory size484.0 B
2024-05-11T05:24:38.203034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length35.475
Min length22

Characters and Unicode

Total characters1419
Distinct characters129
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 월드컵로30길 12 (성산동)
2nd row서울특별시 마포구 광성로 3-8 (신수동)
3rd row서울특별시 마포구 독막로38길 14, 1층 (대흥동)
4th row서울특별시 마포구 큰우물로 75, 1113호 (도화동, 성지빌딩)
5th row서울특별시 마포구 동교로12안길 23 (서교동, 3층)
ValueCountFrequency (%)
서울특별시 40
 
14.6%
마포구 40
 
14.6%
1층 11
 
4.0%
서교동 6
 
2.2%
월드컵북로 6
 
2.2%
성산동 5
 
1.8%
동교동 5
 
1.8%
망원동 5
 
1.8%
상암동 4
 
1.5%
지하1층 4
 
1.5%
Other values (115) 148
54.0%
2024-05-11T05:24:39.394467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
 
16.5%
1 69
 
4.9%
동 50
 
3.5%
서 46
 
3.2%
마 46
 
3.2%
포 45
 
3.2%
, 44
 
3.1%
시 43
 
3.0%
( 43
 
3.0%
) 43
 
3.0%
Other values (119) 756
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 818
57.6%
Space Separator 234
 
16.5%
Decimal Number 221
 
15.6%
Other Punctuation 44
 
3.1%
Open Punctuation 43
 
3.0%
Close Punctuation 43
 
3.0%
Uppercase Letter 9
 
0.6%
Dash Punctuation 6
 
0.4%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
6.1%
서 46
 
5.6%
마 46
 
5.6%
포 45
 
5.5%
시 43
 
5.3%
구 42
 
5.1%
울 41
 
5.0%
특 40
 
4.9%
별 40
 
4.9%
로 39
 
4.8%
Other values (98) 386
47.2%
Decimal Number
ValueCountFrequency (%)
1 69
31.2%
3 34
15.4%
2 31
14.0%
5 17
 
7.7%
0 16
 
7.2%
6 14
 
6.3%
4 12
 
5.4%
7 11
 
5.0%
8 11
 
5.0%
9 6
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
M 2
22.2%
D 2
22.2%
C 2
22.2%
B 1
11.1%
Space Separator
ValueCountFrequency (%)
234
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 818
57.6%
Common 591
41.6%
Latin 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
6.1%
서 46
 
5.6%
마 46
 
5.6%
포 45
 
5.5%
시 43
 
5.3%
구 42
 
5.1%
울 41
 
5.0%
특 40
 
4.9%
별 40
 
4.9%
로 39
 
4.8%
Other values (98) 386
47.2%
Common
ValueCountFrequency (%)
234
39.6%
1 69
 
11.7%
, 44
 
7.4%
( 43
 
7.3%
) 43
 
7.3%
3 34
 
5.8%
2 31
 
5.2%
5 17
 
2.9%
0 16
 
2.7%
6 14
 
2.4%
Other values (5) 46
 
7.8%
Latin
ValueCountFrequency (%)
A 2
20.0%
M 2
20.0%
D 2
20.0%
C 2
20.0%
B 1
10.0%
Ⅱ 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 818
57.6%
ASCII 600
42.3%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
39.0%
1 69
 
11.5%
, 44
 
7.3%
( 43
 
7.2%
) 43
 
7.2%
3 34
 
5.7%
2 31
 
5.2%
5 17
 
2.8%
0 16
 
2.7%
6 14
 
2.3%
Other values (10) 55
 
9.2%
Hangul
ValueCountFrequency (%)
동 50
 
6.1%
서 46
 
5.6%
마 46
 
5.6%
포 45
 
5.5%
시 43
 
5.3%
구 42
 
5.1%
울 41
 
5.0%
특 40
 
4.9%
별 40
 
4.9%
로 39
 
4.8%
Other values (98) 386
47.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)69.2%
Missing5
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean4026.5897
Minimum3901
Maximum4214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T05:24:40.166246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3901
5-th percentile3907.3
Q13964
median4001
Q34083
95-th percentile4181.3
Maximum4214
Range313
Interquartile range (IQR)119

Descriptive statistics

Standard deviation87.861649
Coefficient of variation (CV)0.021820363
Kurtosis-0.55489896
Mean4026.5897
Median Absolute Deviation (MAD)63
Skewness0.5628304
Sum157037
Variance7719.6694
MonotonicityNot monotonic
2024-05-11T05:24:40.654087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3964 4
 
9.1%
3995 4
 
9.1%
4073 2
 
4.5%
3908 2
 
4.5%
3925 2
 
4.5%
3901 2
 
4.5%
4179 2
 
4.5%
4029 2
 
4.5%
4026 1
 
2.3%
4001 1
 
2.3%
Other values (17) 17
38.6%
(Missing) 5
 
11.4%
ValueCountFrequency (%)
3901 2
4.5%
3908 2
4.5%
3925 2
4.5%
3938 1
 
2.3%
3964 4
9.1%
3970 1
 
2.3%
3972 1
 
2.3%
3987 1
 
2.3%
3994 1
 
2.3%
3995 4
9.1%
ValueCountFrequency (%)
4214 1
2.3%
4202 1
2.3%
4179 2
4.5%
4158 1
2.3%
4150 1
2.3%
4118 1
2.3%
4110 1
2.3%
4094 1
2.3%
4088 1
2.3%
4078 1
2.3%

사업장명
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T05:24:41.367414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length7.75
Min length2

Characters and Unicode

Total characters341
Distinct characters139
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

Unique42 ?
Unique (%)95.5%

Sample

1st row스마일유통
2nd row선푸드
3rd row대상베스트코(주) 서부1지점
4th row선푸드
5th row포도나무 상사
ValueCountFrequency (%)
주식회사 9
 
15.3%
선푸드 2
 
3.4%
하은푸드 1
 
1.7%
푸드나무 1
 
1.7%
하얀곳간 1
 
1.7%
새농 1
 
1.7%
농업회사법인 1
 
1.7%
체크엔푸드 1
 
1.7%
주)아제미트 1
 
1.7%
주)유앤아이리테일 1
 
1.7%
Other values (40) 40
67.8%
2024-05-11T05:24:42.481689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 22
 
6.5%
15
 
4.4%
) 14
 
4.1%
( 13
 
3.8%
사 12
 
3.5%
식 10
 
2.9%
회 10
 
2.9%
드 7
 
2.1%
아 7
 
2.1%
프 7
 
2.1%
Other values (129) 224
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
85.3%
Space Separator 15
 
4.4%
Close Punctuation 14
 
4.1%
Open Punctuation 13
 
3.8%
Uppercase Letter 5
 
1.5%
Lowercase Letter 2
 
0.6%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
7.6%
사 12
 
4.1%
식 10
 
3.4%
회 10
 
3.4%
드 7
 
2.4%
아 7
 
2.4%
프 7
 
2.4%
유 7
 
2.4%
푸 7
 
2.4%
산 6
 
2.1%
Other values (119) 196
67.4%
Uppercase Letter
ValueCountFrequency (%)
O 2
40.0%
H 1
20.0%
T 1
20.0%
P 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
85.3%
Common 43
 
12.6%
Latin 7
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
7.6%
사 12
 
4.1%
식 10
 
3.4%
회 10
 
3.4%
드 7
 
2.4%
아 7
 
2.4%
프 7
 
2.4%
유 7
 
2.4%
푸 7
 
2.4%
산 6
 
2.1%
Other values (119) 196
67.4%
Latin
ValueCountFrequency (%)
O 2
28.6%
H 1
14.3%
h 1
14.3%
T 1
14.3%
i 1
14.3%
P 1
14.3%
Common
ValueCountFrequency (%)
15
34.9%
) 14
32.6%
( 13
30.2%
1 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
85.3%
ASCII 50
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 22
 
7.6%
사 12
 
4.1%
식 10
 
3.4%
회 10
 
3.4%
드 7
 
2.4%
아 7
 
2.4%
프 7
 
2.4%
유 7
 
2.4%
푸 7
 
2.4%
산 6
 
2.1%
Other values (119) 196
67.4%
ASCII
ValueCountFrequency (%)
15
30.0%
) 14
28.0%
( 13
26.0%
O 2
 
4.0%
H 1
 
2.0%
h 1
 
2.0%
T 1
 
2.0%
i 1
 
2.0%
P 1
 
2.0%
1 1
 
2.0%

최종수정일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2008-08-01 13:44:40
Maximum2024-04-08 15:57:20
2024-05-11T05:24:42.937533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:24:43.496579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
I
27 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 27
61.4%
U 17
38.6%

Length

2024-05-11T05:24:44.133727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:44.551590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
61.4%
u 17
38.6%

데이터갱신일자
Date

Distinct23
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:02:00
2024-05-11T05:24:45.073264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:24:45.582201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
집단급식소 식품판매업
44 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 44
100.0%

Length

2024-05-11T05:24:46.244724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:46.610549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 44
50.0%
식품판매업 44
50.0%

좌표정보(X)
Real number (ℝ)

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192724.84
Minimum190250.88
Maximum196489.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T05:24:47.091124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190250.88
5-th percentile190335.5
Q1191559.12
median192519.46
Q3193705.08
95-th percentile195746.92
Maximum196489.58
Range6238.7095
Interquartile range (IQR)2145.9599

Descriptive statistics

Standard deviation1716.945
Coefficient of variation (CV)0.0089087892
Kurtosis-0.61287981
Mean192724.84
Median Absolute Deviation (MAD)1042.7657
Skewness0.50916204
Sum8479893.1
Variance2947900.1
MonotonicityNot monotonic
2024-05-11T05:24:47.532709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
193097.902201429 4
 
9.1%
190564.097592187 2
 
4.5%
190931.000875925 2
 
4.5%
190335.496775957 2
 
4.5%
190250.875091908 2
 
4.5%
191626.296236 2
 
4.5%
192311.642580307 1
 
2.3%
191368.307844701 1
 
2.3%
194549.922985317 1
 
2.3%
192730.376890748 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
190250.875091908 2
4.5%
190335.496775957 2
4.5%
190564.097592187 2
4.5%
190931.000875925 2
4.5%
191368.307844701 1
2.3%
191454.232359277 1
2.3%
191491.026821734 1
2.3%
191581.819354067 1
2.3%
191589.552929087 1
2.3%
191626.296236 2
4.5%
ValueCountFrequency (%)
196489.584597974 1
2.3%
196017.450860415 1
2.3%
195804.563731799 1
2.3%
195420.301139733 1
2.3%
195410.475116073 1
2.3%
195251.653529577 1
2.3%
195184.335899857 1
2.3%
194738.518908321 1
2.3%
194549.922985317 1
2.3%
194195.385114909 1
2.3%

좌표정보(Y)
Real number (ℝ)

Distinct36
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450485.7
Minimum448236.66
Maximum453017.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T05:24:48.151095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448236.66
5-th percentile448799.11
Q1449701.26
median450417.88
Q3451078.21
95-th percentile452815.65
Maximum453017.87
Range4781.2117
Interquartile range (IQR)1376.9537

Descriptive statistics

Standard deviation1229.2157
Coefficient of variation (CV)0.0027286454
Kurtosis-0.018031801
Mean450485.7
Median Absolute Deviation (MAD)739.11541
Skewness0.56654829
Sum19821371
Variance1510971.3
MonotonicityNot monotonic
2024-05-11T05:24:48.801961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
450522.145549621 4
 
9.1%
452815.653945716 2
 
4.5%
451427.722144609 2
 
4.5%
452758.642764785 2
 
4.5%
453017.867202928 2
 
4.5%
450644.137518703 2
 
4.5%
449855.643910445 1
 
2.3%
451371.496936264 1
 
2.3%
449633.793583481 1
 
2.3%
450187.395198752 1
 
2.3%
Other values (26) 26
59.1%
ValueCountFrequency (%)
448236.655548283 1
2.3%
448276.965250949 1
2.3%
448780.26877488 1
2.3%
448905.847421736 1
2.3%
449216.311329217 1
2.3%
449283.780110385 1
2.3%
449327.661840737 1
2.3%
449405.429098331 1
2.3%
449477.863298234 1
2.3%
449478.849222576 1
2.3%
ValueCountFrequency (%)
453017.867202928 2
4.5%
452815.653945716 2
4.5%
452758.642764785 2
4.5%
451427.722144609 2
4.5%
451405.160854329 1
2.3%
451371.496936264 1
2.3%
451300.219989 1
2.3%
451004.206806501 1
2.3%
450748.874527109 1
2.3%
450698.678694495 1
2.3%

위생업태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
집단급식소 식품판매업
28 
<NA>
16 

Length

Max length11
Median length11
Mean length8.4545455
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 28
63.6%
<NA> 16
36.4%

Length

2024-05-11T05:24:49.578451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:50.763624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 28
38.9%
식품판매업 28
38.9%
na 16
22.2%

남성종사자수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-05-11T05:24:51.494113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:52.041759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

여성종사자수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-05-11T05:24:52.660088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:53.007556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing42
Missing (%)95.5%
Memory size484.0 B
2024-05-11T05:24:53.501352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
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

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
ValueCountFrequency (%)
상수도전용 2
100.0%
2024-05-11T05:24:54.563203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

총인원
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-05-11T05:24:55.122909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:55.683804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

본사종업원수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
30 
0
14 

Length

Max length4
Median length4
Mean length3.0454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
68.2%
0 14
31.8%

Length

2024-05-11T05:24:56.118440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:56.680562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
68.2%
0 14
31.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
30 
0
14 

Length

Max length4
Median length4
Mean length3.0454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
68.2%
0 14
31.8%

Length

2024-05-11T05:24:57.088064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:57.535457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
68.2%
0 14
31.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
30 
0
14 

Length

Max length4
Median length4
Mean length3.0454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
68.2%
0 14
31.8%

Length

2024-05-11T05:24:57.927987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:58.268642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
68.2%
0 14
31.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
30 
0
14 

Length

Max length4
Median length4
Mean length3.0454545
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
68.2%
0 14
31.8%

Length

2024-05-11T05:24:58.711236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:59.048900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
68.2%
0 14
31.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
22 
임대
19 
자가
3 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row임대
2nd row자가
3rd row임대
4th row임대
5th row임대

Common Values

ValueCountFrequency (%)
<NA> 22
50.0%
임대 19
43.2%
자가 3
 
6.8%

Length

2024-05-11T05:24:59.452455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:24:59.808564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
50.0%
임대 19
43.2%
자가 3
 
6.8%

보증액
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
36 
0
6 
150000000
 
1
5000000
 
1

Length

Max length9
Median length4
Mean length3.7727273
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row150000000
4th row5000000
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
81.8%
0 6
 
13.6%
150000000 1
 
2.3%
5000000 1
 
2.3%

Length

2024-05-11T05:25:00.243549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:00.616537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
81.8%
0 6
 
13.6%
150000000 1
 
2.3%
5000000 1
 
2.3%

월세액
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
36 
0
6 
5550000
 
1
300000
 
1

Length

Max length7
Median length4
Mean length3.7045455
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row5550000
4th row300000
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
81.8%
0 6
 
13.6%
5550000 1
 
2.3%
300000 1
 
2.3%

Length

2024-05-11T05:25:00.977649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:01.397708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
81.8%
0 6
 
13.6%
5550000 1
 
2.3%
300000 1
 
2.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.6%
Missing16
Missing (%)36.4%
Memory size220.0 B
False
28 
(Missing)
16 
ValueCountFrequency (%)
False 28
63.6%
(Missing) 16
36.4%
2024-05-11T05:25:01.744263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
28 
<NA>
16 

Length

Max length4
Median length1
Mean length2.0909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
63.6%
<NA> 16
36.4%

Length

2024-05-11T05:25:02.025645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:25:02.390561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
63.6%
na 16
36.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031300003130000-122-2008-0000120080801<NA>3폐업2폐업20101217<NA><NA><NA>02 706 018246.99121815서울특별시 마포구 도화동 556 SK허브그린 1408호<NA><NA>스마일유통2008-08-01 13:44:40I2018-08-31 23:59:59.0집단급식소 식품판매업195420.30114448905.847422집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
131300003130000-122-2008-0000220080822<NA>3폐업2폐업20080910<NA><NA><NA>02 375 23119.92121830서울특별시 마포구 상암동 12-78 지층<NA><NA>선푸드2008-08-22 15:32:48I2018-08-31 23:59:59.0집단급식소 식품판매업190564.097592452815.653946집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0<NA><NA><NA>
231300003130000-122-2008-0000320080827<NA>3폐업2폐업20120531<NA><NA><NA>02 338 4892590.74121848서울특별시 마포구 성산동 262-1서울특별시 마포구 월드컵로30길 12 (성산동)3970대상베스트코(주) 서부1지점2012-04-17 11:09:27I2018-08-31 23:59:59.0집단급식소 식품판매업191726.459412451300.219989집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대1500000005550000N0<NA><NA><NA>
331300003130000-122-2008-0000420080916<NA>3폐업2폐업20120323<NA><NA><NA>02 375 23119.92121830서울특별시 마포구 상암동 12-78 1층2호(지하)<NA><NA>선푸드2011-08-22 14:41:03I2018-08-31 23:59:59.0집단급식소 식품판매업190564.097592452815.653946집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대5000000300000N0<NA><NA><NA>
431300003130000-122-2009-0000120091124<NA>3폐업2폐업20110914<NA><NA><NA>02 325 0595167.58121888서울특별시 마포구 합정동 443-5 지층, 1층<NA><NA>포도나무 상사2009-11-24 16:49:45I2018-08-31 23:59:59.0집단급식소 식품판매업191589.552929449908.695923집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0<NA><NA><NA>
531300003130000-122-2010-0000120101011<NA>3폐업2폐업20130219<NA><NA><NA>02 313414140.00121854서울특별시 마포구 신수동 69-4서울특별시 마포구 광성로 3-8 (신수동)4094(주)식자재코리아2012-05-29 17:38:34I2018-08-31 23:59:59.0집단급식소 식품판매업194090.649863449820.276631집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
631300003130000-122-2010-0000220100906<NA>3폐업2폐업20170329<NA><NA><NA><NA>68.00121810서울특별시 마포구 대흥동 329-2서울특별시 마포구 독막로38길 14, 1층 (대흥동)4150산아란2017-03-29 17:11:55I2018-08-31 23:59:59.0집단급식소 식품판매업194738.518908449283.78011집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N0<NA><NA><NA>
731300003130000-122-2011-0000120110105<NA>3폐업2폐업20150824<NA><NA><NA>02 7035045161.00121815서울특별시 마포구 도화동 538 성지빌딩 1113호서울특별시 마포구 큰우물로 75, 1113호 (도화동, 성지빌딩)4158(주)세호비엠에스씨2015-09-23 17:44:31I2018-08-31 23:59:59.0집단급식소 식품판매업195184.3359448780.268775집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
831300003130000-122-2011-0000220110915<NA>1영업/정상1영업<NA><NA><NA><NA>0231410505131.37121839서울특별시 마포구 서교동 480-27 3층서울특별시 마포구 동교로12안길 23 (서교동, 3층)4029마포두레소비자생활협동조합2021-03-31 10:44:12U2021-04-02 02:40:00.0집단급식소 식품판매업192299.69353450213.940851집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
931300003130000-122-2011-0000320110812<NA>3폐업2폐업20141216<NA><NA><NA>02 6084410969.00121882서울특별시 마포구 창전동 389-11 (1층)서울특별시 마포구 독막로20길 50 (창전동, (1층))4078거상유통2012-07-17 16:29:44I2018-08-31 23:59:59.0집단급식소 식품판매업193576.558232449405.429098집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3431300003130000-122-2022-000032022-05-27<NA>3폐업2폐업2023-12-11<NA><NA><NA><NA>14.50121-812서울특별시 마포구 도화동 83 도화3지구우성아파트서울특별시 마포구 삼개로 35, 도화3지구우성아파트 제18동 우성A상가동 1층 14호 (도화동)4179그레이프 푸드힐2023-12-11 14:53:02U2022-11-01 23:03:00.0집단급식소 식품판매업195410.475116448276.965251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3531300003130000-122-2022-000042022-07-20<NA>1영업/정상1영업<NA><NA><NA><NA>02 336166420.00121-816서울특별시 마포구 동교동 155-27 효성홍익인간오피스텔서울특별시 마포구 양화로 183, 효성홍익인간오피스텔 1412호 (동교동)3994매쉬미디어(주)2024-01-16 15:10:23U2023-11-30 23:08:00.0집단급식소 식품판매업193314.124815450682.987555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3631300003130000-122-2022-0000520221012<NA>1영업/정상1영업<NA><NA><NA><NA>0231585822198.00121839서울특별시 마포구 서교동 485-14 107호서울특별시 마포구 동교로12길 21, 107호 (서교동)4029(주)커피아울렛2022-10-12 10:11:26I2021-10-30 23:05:00.0집단급식소 식품판매업192214.380854450136.910983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3731300003130000-122-2022-000062022-10-27<NA>3폐업2폐업2023-12-21<NA><NA><NA>0220015519898.73121-914서울특별시 마포구 상암동 1653 DMC이안오피스텔서울특별시 마포구 월드컵북로 361, DMC이안오피스텔 14층 (상암동)3908(주)더블유피컴퍼니2023-12-21 16:33:25U2022-11-01 22:03:00.0집단급식소 식품판매업190335.496776452758.642765<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3831300003130000-122-2022-000072022-12-23<NA>1영업/정상1영업<NA><NA><NA><NA>023152808865.98121-795서울특별시 마포구 상암동 1605 누리꿈스퀘어서울특별시 마포구 월드컵북로 396, 누리꿈스퀘어 16층 (상암동)3925주식회사 에프엔프레시2024-03-11 09:52:51U2023-12-02 23:03:00.0집단급식소 식품판매업190250.875092453017.867203<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3931300003130000-122-2023-0000120230130<NA>1영업/정상1영업<NA><NA><NA><NA>0708246525826.85121827서울특별시 마포구 망원동 425-45 아펠리움 101-A호서울특별시 마포구 망원로7길 35-8, 101-A호 (망원동, 아펠리움)3964포토하이(PHOTOhi)2023-01-30 15:09:28I2022-12-02 00:01:00.0집단급식소 식품판매업191491.026822450748.874527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4031300003130000-122-2023-000022023-02-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 333140048.42121-883서울특별시 마포구 합정동 354-12서울특별시 마포구 어울마당로3길 18, 지층 2호 (합정동)4073알찬밥집2023-02-07 17:34:38I2022-12-02 00:09:00.0집단급식소 식품판매업192748.916467449477.863298<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4131300003130000-122-2023-000032023-02-07<NA>1영업/정상1영업<NA><NA><NA><NA>02 335290090.83121-883서울특별시 마포구 합정동 354-17서울특별시 마포구 독막로8길 7, 지하1층 일부호 (합정동)4073알찬에프앤디 주식회사2023-02-07 17:43:20I2022-12-02 00:09:00.0집단급식소 식품판매업192727.274816449478.849223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4231300003130000-122-2023-000042023-02-23<NA>1영업/정상1영업<NA><NA><NA><NA>02200159166.00121-914서울특별시 마포구 상암동 1653 DMC이안오피스텔 114호서울특별시 마포구 월드컵북로 361, DMC이안오피스텔 14층 114호 (상암동)3908(주)아이키움2024-01-24 11:22:34U2023-11-30 22:06:00.0집단급식소 식품판매업190335.496776452758.642765<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4331300003130000-122-2023-000052023-09-08<NA>1영업/정상1영업<NA><NA><NA><NA>070445969076.60121-010서울특별시 마포구 아현동 781 현암사 일부호서울특별시 마포구 마포대로19길 33, 현암사 2층 일부호 (아현동)4118주식회사 래케어2023-09-08 10:45:38I2022-12-08 23:00:00.0집단급식소 식품판매업196017.45086450131.430709<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>