Overview

Dataset statistics

Number of variables44
Number of observations309
Missing cells3622
Missing cells (%)26.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory114.2 KiB
Average record size in memory378.4 B

Variable types

Categorical18
Text7
DateTime4
Unsupported10
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-18000/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (52.5%)Imbalance
여성종사자수 is highly imbalanced (58.0%)Imbalance
급수시설구분명 is highly imbalanced (92.1%)Imbalance
총인원 is highly imbalanced (72.0%)Imbalance
본사종업원수 is highly imbalanced (72.0%)Imbalance
공장사무직종업원수 is highly imbalanced (72.0%)Imbalance
공장판매직종업원수 is highly imbalanced (72.0%)Imbalance
공장생산직종업원수 is highly imbalanced (72.0%)Imbalance
보증액 is highly imbalanced (72.0%)Imbalance
월세액 is highly imbalanced (72.0%)Imbalance
인허가취소일자 has 309 (100.0%) missing valuesMissing
폐업일자 has 87 (28.2%) missing valuesMissing
휴업시작일자 has 309 (100.0%) missing valuesMissing
휴업종료일자 has 309 (100.0%) missing valuesMissing
재개업일자 has 309 (100.0%) missing valuesMissing
전화번호 has 91 (29.4%) missing valuesMissing
소재지면적 has 19 (6.1%) missing valuesMissing
도로명주소 has 93 (30.1%) missing valuesMissing
도로명우편번호 has 96 (31.1%) missing valuesMissing
좌표정보(X) has 7 (2.3%) missing valuesMissing
좌표정보(Y) has 7 (2.3%) missing valuesMissing
영업장주변구분명 has 309 (100.0%) missing valuesMissing
등급구분명 has 309 (100.0%) missing valuesMissing
건물소유구분명 has 309 (100.0%) missing valuesMissing
다중이용업소여부 has 65 (21.0%) missing valuesMissing
시설총규모 has 65 (21.0%) missing valuesMissing
전통업소지정번호 has 309 (100.0%) missing valuesMissing
전통업소주된음식 has 309 (100.0%) missing valuesMissing
홈페이지 has 309 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 13 (4.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:41:38.717993
Analysis finished2024-05-11 05:41:40.186436
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3230000
309 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 309
100.0%

Length

2024-05-11T05:41:40.387733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:41:40.709693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 309
100.0%

관리번호
Text

UNIQUE 

Distinct309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T05:41:41.089729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6798
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

Unique309 ?
Unique (%)100.0%

Sample

1st row3230000-120-2003-00001
2nd row3230000-120-2003-00002
3rd row3230000-120-2003-00003
4th row3230000-120-2003-00004
5th row3230000-120-2003-00005
ValueCountFrequency (%)
3230000-120-2003-00001 1
 
0.3%
3230000-120-2015-00018 1
 
0.3%
3230000-120-2017-00005 1
 
0.3%
3230000-120-2017-00004 1
 
0.3%
3230000-120-2017-00003 1
 
0.3%
3230000-120-2017-00002 1
 
0.3%
3230000-120-2017-00001 1
 
0.3%
3230000-120-2016-00009 1
 
0.3%
3230000-120-2016-00008 1
 
0.3%
3230000-120-2016-00006 1
 
0.3%
Other values (299) 299
96.8%
2024-05-11T05:41:41.957495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3133
46.1%
2 1054
 
15.5%
- 927
 
13.6%
3 734
 
10.8%
1 592
 
8.7%
4 82
 
1.2%
5 76
 
1.1%
7 52
 
0.8%
8 51
 
0.8%
6 49
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5871
86.4%
Dash Punctuation 927
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3133
53.4%
2 1054
 
18.0%
3 734
 
12.5%
1 592
 
10.1%
4 82
 
1.4%
5 76
 
1.3%
7 52
 
0.9%
8 51
 
0.9%
6 49
 
0.8%
9 48
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 927
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3133
46.1%
2 1054
 
15.5%
- 927
 
13.6%
3 734
 
10.8%
1 592
 
8.7%
4 82
 
1.2%
5 76
 
1.1%
7 52
 
0.8%
8 51
 
0.8%
6 49
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3133
46.1%
2 1054
 
15.5%
- 927
 
13.6%
3 734
 
10.8%
1 592
 
8.7%
4 82
 
1.2%
5 76
 
1.1%
7 52
 
0.8%
8 51
 
0.8%
6 49
 
0.7%
Distinct243
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2003-06-12 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T05:41:42.387165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:41:42.839066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3
222 
1
87 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 222
71.8%
1 87
 
28.2%

Length

2024-05-11T05:41:43.355572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:41:43.716809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 222
71.8%
1 87
 
28.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
222 
영업/정상
87 

Length

Max length5
Median length2
Mean length2.8446602
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 222
71.8%
영업/정상 87
 
28.2%

Length

2024-05-11T05:41:44.129328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:41:44.586888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 222
71.8%
영업/정상 87
 
28.2%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2
222 
1
87 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 222
71.8%
1 87
 
28.2%

Length

2024-05-11T05:41:45.149972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:41:45.734531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 222
71.8%
1 87
 
28.2%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
222 
영업
87 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 222
71.8%
영업 87
 
28.2%

Length

2024-05-11T05:41:46.335107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:41:46.790205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 222
71.8%
영업 87
 
28.2%

폐업일자
Date

MISSING 

Distinct179
Distinct (%)80.6%
Missing87
Missing (%)28.2%
Memory size2.5 KiB
Minimum2003-10-02 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T05:41:47.124743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:41:47.888862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct171
Distinct (%)78.4%
Missing91
Missing (%)29.4%
Memory size2.5 KiB
2024-05-11T05:41:49.211222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.247706
Min length6

Characters and Unicode

Total characters2452
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

Unique154 ?
Unique (%)70.6%

Sample

1st row02 5786100
2nd row02 4121629
3rd row02 4106479
4th row02 4095188
5th row02 4841214
ValueCountFrequency (%)
02 169
35.1%
33920455 15
 
3.1%
573 11
 
2.3%
8215 11
 
2.3%
031 8
 
1.7%
070 6
 
1.2%
578 5
 
1.0%
6100 5
 
1.0%
20276080 4
 
0.8%
7575 3
 
0.6%
Other values (210) 244
50.7%
2024-05-11T05:41:51.126776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 466
19.0%
387
15.8%
2 369
15.0%
4 204
8.3%
1 195
8.0%
3 177
 
7.2%
5 167
 
6.8%
8 139
 
5.7%
7 136
 
5.5%
6 119
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2065
84.2%
Space Separator 387
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 466
22.6%
2 369
17.9%
4 204
9.9%
1 195
9.4%
3 177
 
8.6%
5 167
 
8.1%
8 139
 
6.7%
7 136
 
6.6%
6 119
 
5.8%
9 93
 
4.5%
Space Separator
ValueCountFrequency (%)
387
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2452
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 466
19.0%
387
15.8%
2 369
15.0%
4 204
8.3%
1 195
8.0%
3 177
 
7.2%
5 167
 
6.8%
8 139
 
5.7%
7 136
 
5.5%
6 119
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2452
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 466
19.0%
387
15.8%
2 369
15.0%
4 204
8.3%
1 195
8.0%
3 177
 
7.2%
5 167
 
6.8%
8 139
 
5.7%
7 136
 
5.5%
6 119
 
4.9%

소재지면적
Text

MISSING 

Distinct219
Distinct (%)75.5%
Missing19
Missing (%)6.1%
Memory size2.5 KiB
2024-05-11T05:41:52.364963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.9517241
Min length4

Characters and Unicode

Total characters1726
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

Unique170 ?
Unique (%)58.6%

Sample

1st row597.47
2nd row241.50
3rd row165.00
4th row122.77
5th row483.60
ValueCountFrequency (%)
227.49 6
 
2.1%
769.00 5
 
1.7%
475.00 4
 
1.4%
33.00 3
 
1.0%
346.82 3
 
1.0%
264.00 3
 
1.0%
1,519.00 3
 
1.0%
353.00 3
 
1.0%
149.00 3
 
1.0%
200.00 3
 
1.0%
Other values (209) 254
87.6%
2024-05-11T05:41:53.905154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 401
23.2%
. 290
16.8%
1 173
10.0%
2 143
 
8.3%
9 120
 
7.0%
5 107
 
6.2%
4 105
 
6.1%
3 103
 
6.0%
6 94
 
5.4%
7 86
 
5.0%
Other values (2) 104
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1417
82.1%
Other Punctuation 309
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 401
28.3%
1 173
12.2%
2 143
 
10.1%
9 120
 
8.5%
5 107
 
7.6%
4 105
 
7.4%
3 103
 
7.3%
6 94
 
6.6%
7 86
 
6.1%
8 85
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 290
93.9%
, 19
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1726
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 401
23.2%
. 290
16.8%
1 173
10.0%
2 143
 
8.3%
9 120
 
7.0%
5 107
 
6.2%
4 105
 
6.1%
3 103
 
6.0%
6 94
 
5.4%
7 86
 
5.0%
Other values (2) 104
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 401
23.2%
. 290
16.8%
1 173
10.0%
2 143
 
8.3%
9 120
 
7.0%
5 107
 
6.2%
4 105
 
6.1%
3 103
 
6.0%
6 94
 
5.4%
7 86
 
5.0%
Other values (2) 104
 
6.0%
Distinct88
Distinct (%)28.6%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2024-05-11T05:41:54.822641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1883117
Min length6

Characters and Unicode

Total characters1906
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

Unique34 ?
Unique (%)11.0%

Sample

1st row138934
2nd row138911
3rd row138871
4th row138-934
5th row138802
ValueCountFrequency (%)
138934 24
 
7.8%
138854 24
 
7.8%
138855 14
 
4.5%
138911 13
 
4.2%
138803 12
 
3.9%
138-934 11
 
3.6%
138829 11
 
3.6%
138888 11
 
3.6%
138836 10
 
3.2%
138881 8
 
2.6%
Other values (78) 170
55.2%
2024-05-11T05:41:56.002084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 574
30.1%
1 384
20.1%
3 383
20.1%
9 99
 
5.2%
4 93
 
4.9%
5 91
 
4.8%
2 65
 
3.4%
0 60
 
3.1%
- 58
 
3.0%
7 52
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1848
97.0%
Dash Punctuation 58
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 574
31.1%
1 384
20.8%
3 383
20.7%
9 99
 
5.4%
4 93
 
5.0%
5 91
 
4.9%
2 65
 
3.5%
0 60
 
3.2%
7 52
 
2.8%
6 47
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1906
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 574
30.1%
1 384
20.1%
3 383
20.1%
9 99
 
5.2%
4 93
 
4.9%
5 91
 
4.8%
2 65
 
3.4%
0 60
 
3.1%
- 58
 
3.0%
7 52
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 574
30.1%
1 384
20.1%
3 383
20.1%
9 99
 
5.2%
4 93
 
4.9%
5 91
 
4.8%
2 65
 
3.4%
0 60
 
3.1%
- 58
 
3.0%
7 52
 
2.7%
Distinct244
Distinct (%)79.2%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2024-05-11T05:41:56.572625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length25.324675
Min length16

Characters and Unicode

Total characters7800
Distinct characters215
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique200 ?
Unique (%)64.9%

Sample

1st row서울특별시 송파구 신천동 7-11번지
2nd row서울특별시 송파구 잠실동 22-1번지
3rd row서울특별시 송파구 장지동 579번지 외 2필지
4th row서울특별시 송파구 신천동 7-23
5th row서울특별시 송파구 가락동 58-0번지
ValueCountFrequency (%)
서울특별시 308
20.6%
송파구 308
20.6%
가락동 48
 
3.2%
신천동 44
 
2.9%
잠실동 39
 
2.6%
방이동 35
 
2.3%
송파동 32
 
2.1%
오금동 29
 
1.9%
문정동 27
 
1.8%
풍납동 21
 
1.4%
Other values (305) 604
40.4%
2024-05-11T05:41:58.223929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1427
18.3%
362
 
4.6%
348
 
4.5%
325
 
4.2%
319
 
4.1%
319
 
4.1%
317
 
4.1%
314
 
4.0%
308
 
3.9%
308
 
3.9%
Other values (205) 3453
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4991
64.0%
Space Separator 1427
 
18.3%
Decimal Number 1094
 
14.0%
Dash Punctuation 221
 
2.8%
Uppercase Letter 48
 
0.6%
Other Punctuation 7
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
362
 
7.3%
348
 
7.0%
325
 
6.5%
319
 
6.4%
319
 
6.4%
317
 
6.4%
314
 
6.3%
308
 
6.2%
308
 
6.2%
289
 
5.8%
Other values (174) 1782
35.7%
Uppercase Letter
ValueCountFrequency (%)
S 8
16.7%
T 6
12.5%
A 5
10.4%
N 4
8.3%
U 4
8.3%
I 3
 
6.2%
K 3
 
6.2%
G 2
 
4.2%
O 2
 
4.2%
P 2
 
4.2%
Other values (6) 9
18.8%
Decimal Number
ValueCountFrequency (%)
1 249
22.8%
2 171
15.6%
3 103
9.4%
0 101
9.2%
7 98
 
9.0%
8 97
 
8.9%
9 81
 
7.4%
5 66
 
6.0%
6 66
 
6.0%
4 62
 
5.7%
Space Separator
ValueCountFrequency (%)
1427
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4991
64.0%
Common 2761
35.4%
Latin 48
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
362
 
7.3%
348
 
7.0%
325
 
6.5%
319
 
6.4%
319
 
6.4%
317
 
6.4%
314
 
6.3%
308
 
6.2%
308
 
6.2%
289
 
5.8%
Other values (174) 1782
35.7%
Latin
ValueCountFrequency (%)
S 8
16.7%
T 6
12.5%
A 5
10.4%
N 4
8.3%
U 4
8.3%
I 3
 
6.2%
K 3
 
6.2%
G 2
 
4.2%
O 2
 
4.2%
P 2
 
4.2%
Other values (6) 9
18.8%
Common
ValueCountFrequency (%)
1427
51.7%
1 249
 
9.0%
- 221
 
8.0%
2 171
 
6.2%
3 103
 
3.7%
0 101
 
3.7%
7 98
 
3.5%
8 97
 
3.5%
9 81
 
2.9%
5 66
 
2.4%
Other values (5) 147
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4991
64.0%
ASCII 2809
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1427
50.8%
1 249
 
8.9%
- 221
 
7.9%
2 171
 
6.1%
3 103
 
3.7%
0 101
 
3.6%
7 98
 
3.5%
8 97
 
3.5%
9 81
 
2.9%
5 66
 
2.3%
Other values (21) 195
 
6.9%
Hangul
ValueCountFrequency (%)
362
 
7.3%
348
 
7.0%
325
 
6.5%
319
 
6.4%
319
 
6.4%
317
 
6.4%
314
 
6.3%
308
 
6.2%
308
 
6.2%
289
 
5.8%
Other values (174) 1782
35.7%

도로명주소
Text

MISSING 

Distinct189
Distinct (%)87.5%
Missing93
Missing (%)30.1%
Memory size2.5 KiB
2024-05-11T05:41:59.024720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length33.842593
Min length21

Characters and Unicode

Total characters7310
Distinct characters220
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

Unique172 ?
Unique (%)79.6%

Sample

1st row서울특별시 송파구 헌릉로 869 (장지동,외 2필지)
2nd row서울특별시 송파구 올림픽로 299 (신천동)
3rd row서울특별시 송파구 올림픽로43길 20 (풍납동)
4th row서울특별시 송파구 올림픽로35길 130 (신천동)
5th row서울특별시 송파구 올림픽로4길 16 (잠실동)
ValueCountFrequency (%)
서울특별시 216
 
15.3%
송파구 216
 
15.3%
지하1층 33
 
2.3%
신천동 30
 
2.1%
1층 30
 
2.1%
가락동 26
 
1.8%
올림픽로 25
 
1.8%
잠실동 24
 
1.7%
송파동 23
 
1.6%
방이동 23
 
1.6%
Other values (290) 767
54.3%
2024-05-11T05:42:01.086848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1197
 
16.4%
289
 
4.0%
281
 
3.8%
241
 
3.3%
, 237
 
3.2%
230
 
3.1%
230
 
3.1%
222
 
3.0%
219
 
3.0%
) 219
 
3.0%
Other values (210) 3945
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4556
62.3%
Space Separator 1197
 
16.4%
Decimal Number 849
 
11.6%
Other Punctuation 237
 
3.2%
Close Punctuation 219
 
3.0%
Open Punctuation 219
 
3.0%
Uppercase Letter 25
 
0.3%
Dash Punctuation 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
289
 
6.3%
281
 
6.2%
241
 
5.3%
230
 
5.0%
230
 
5.0%
222
 
4.9%
219
 
4.8%
219
 
4.8%
216
 
4.7%
216
 
4.7%
Other values (184) 2193
48.1%
Decimal Number
ValueCountFrequency (%)
1 209
24.6%
2 155
18.3%
3 114
13.4%
4 77
 
9.1%
8 67
 
7.9%
0 60
 
7.1%
5 47
 
5.5%
7 47
 
5.5%
9 38
 
4.5%
6 35
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
20.0%
T 5
20.0%
J 3
12.0%
K 3
12.0%
O 2
 
8.0%
B 2
 
8.0%
C 2
 
8.0%
A 1
 
4.0%
L 1
 
4.0%
I 1
 
4.0%
Space Separator
ValueCountFrequency (%)
1197
100.0%
Other Punctuation
ValueCountFrequency (%)
, 237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4556
62.3%
Common 2729
37.3%
Latin 25
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
289
 
6.3%
281
 
6.2%
241
 
5.3%
230
 
5.0%
230
 
5.0%
222
 
4.9%
219
 
4.8%
219
 
4.8%
216
 
4.7%
216
 
4.7%
Other values (184) 2193
48.1%
Common
ValueCountFrequency (%)
1197
43.9%
, 237
 
8.7%
) 219
 
8.0%
( 219
 
8.0%
1 209
 
7.7%
2 155
 
5.7%
3 114
 
4.2%
4 77
 
2.8%
8 67
 
2.5%
0 60
 
2.2%
Other values (6) 175
 
6.4%
Latin
ValueCountFrequency (%)
S 5
20.0%
T 5
20.0%
J 3
12.0%
K 3
12.0%
O 2
 
8.0%
B 2
 
8.0%
C 2
 
8.0%
A 1
 
4.0%
L 1
 
4.0%
I 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4556
62.3%
ASCII 2754
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1197
43.5%
, 237
 
8.6%
) 219
 
8.0%
( 219
 
8.0%
1 209
 
7.6%
2 155
 
5.6%
3 114
 
4.1%
4 77
 
2.8%
8 67
 
2.4%
0 60
 
2.2%
Other values (16) 200
 
7.3%
Hangul
ValueCountFrequency (%)
289
 
6.3%
281
 
6.2%
241
 
5.3%
230
 
5.0%
230
 
5.0%
222
 
4.9%
219
 
4.8%
219
 
4.8%
216
 
4.7%
216
 
4.7%
Other values (184) 2193
48.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)31.5%
Missing96
Missing (%)31.1%
Infinite0
Infinite (%)0.0%
Mean5644.6103
Minimum5500
Maximum5856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:42:01.592439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5500
5-th percentile5502
Q15540
median5655
Q35715
95-th percentile5840
Maximum5856
Range356
Interquartile range (IQR)175

Descriptive statistics

Standard deviation111.45975
Coefficient of variation (CV)0.019746226
Kurtosis-1.0155385
Mean5644.6103
Median Absolute Deviation (MAD)101
Skewness0.30779927
Sum1202302
Variance12423.277
MonotonicityNot monotonic
2024-05-11T05:42:02.124231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5510 15
 
4.9%
5645 12
 
3.9%
5678 10
 
3.2%
5502 10
 
3.2%
5660 9
 
2.9%
5676 9
 
2.9%
5715 8
 
2.6%
5507 7
 
2.3%
5699 6
 
1.9%
5840 6
 
1.9%
Other values (57) 121
39.2%
(Missing) 96
31.1%
ValueCountFrequency (%)
5500 4
 
1.3%
5501 1
 
0.3%
5502 10
3.2%
5504 1
 
0.3%
5505 4
 
1.3%
5506 3
 
1.0%
5507 7
2.3%
5510 15
4.9%
5520 1
 
0.3%
5529 1
 
0.3%
ValueCountFrequency (%)
5856 4
1.3%
5849 1
 
0.3%
5845 1
 
0.3%
5844 1
 
0.3%
5842 1
 
0.3%
5840 6
1.9%
5839 2
 
0.6%
5838 1
 
0.3%
5836 4
1.3%
5833 2
 
0.6%
Distinct293
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T05:42:02.958379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length12.737864
Min length2

Characters and Unicode

Total characters3936
Distinct characters296
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)90.9%

Sample

1st row(주)아벨라고매제일은행잠실지점
2nd row잠신중학교
3rd row장지동공영차고지구내식당
4th row대한에프에쓰에쓰(주) 대한제당본사지점
5th row경찰병원구내식당
ValueCountFrequency (%)
주)엘에스씨푸드 15
 
3.1%
주식회사 12
 
2.5%
가람푸드써비스(주 12
 
2.5%
주)아워홈 10
 
2.0%
송파점 9
 
1.8%
지점 7
 
1.4%
제이제이케터링(주 7
 
1.4%
본우리집밥 6
 
1.2%
주)현대그린푸드 6
 
1.2%
잠신고등학교 5
 
1.0%
Other values (326) 400
81.8%
2024-05-11T05:42:04.066198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 232
 
5.9%
( 231
 
5.9%
222
 
5.6%
181
 
4.6%
125
 
3.2%
110
 
2.8%
109
 
2.8%
99
 
2.5%
81
 
2.1%
79
 
2.0%
Other values (286) 2467
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3238
82.3%
Close Punctuation 232
 
5.9%
Open Punctuation 231
 
5.9%
Space Separator 181
 
4.6%
Uppercase Letter 34
 
0.9%
Dash Punctuation 13
 
0.3%
Other Punctuation 4
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
222
 
6.9%
125
 
3.9%
110
 
3.4%
109
 
3.4%
99
 
3.1%
81
 
2.5%
79
 
2.4%
60
 
1.9%
57
 
1.8%
51
 
1.6%
Other values (265) 2245
69.3%
Uppercase Letter
ValueCountFrequency (%)
S 9
26.5%
K 5
14.7%
T 3
 
8.8%
F 3
 
8.8%
J 2
 
5.9%
A 2
 
5.9%
L 2
 
5.9%
P 2
 
5.9%
D 2
 
5.9%
C 2
 
5.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
& 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 232
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Space Separator
ValueCountFrequency (%)
181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3238
82.3%
Common 664
 
16.9%
Latin 34
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
222
 
6.9%
125
 
3.9%
110
 
3.4%
109
 
3.4%
99
 
3.1%
81
 
2.5%
79
 
2.4%
60
 
1.9%
57
 
1.8%
51
 
1.6%
Other values (265) 2245
69.3%
Latin
ValueCountFrequency (%)
S 9
26.5%
K 5
14.7%
T 3
 
8.8%
F 3
 
8.8%
J 2
 
5.9%
A 2
 
5.9%
L 2
 
5.9%
P 2
 
5.9%
D 2
 
5.9%
C 2
 
5.9%
Other values (2) 2
 
5.9%
Common
ValueCountFrequency (%)
) 232
34.9%
( 231
34.8%
181
27.3%
- 13
 
2.0%
, 3
 
0.5%
1 1
 
0.2%
2 1
 
0.2%
& 1
 
0.2%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3238
82.3%
ASCII 698
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 232
33.2%
( 231
33.1%
181
25.9%
- 13
 
1.9%
S 9
 
1.3%
K 5
 
0.7%
T 3
 
0.4%
, 3
 
0.4%
F 3
 
0.4%
J 2
 
0.3%
Other values (11) 16
 
2.3%
Hangul
ValueCountFrequency (%)
222
 
6.9%
125
 
3.9%
110
 
3.4%
109
 
3.4%
99
 
3.1%
81
 
2.5%
79
 
2.4%
60
 
1.9%
57
 
1.8%
51
 
1.6%
Other values (265) 2245
69.3%
Distinct301
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2003-06-12 00:00:00
Maximum2024-05-07 14:24:28
2024-05-11T05:42:04.718854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:42:05.255600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
197 
U
112 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 197
63.8%
U 112
36.2%

Length

2024-05-11T05:42:05.738358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:06.102101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 197
63.8%
u 112
36.2%
Distinct96
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T05:42:06.480055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:42:06.996736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
위탁급식영업
309 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 309
100.0%

Length

2024-05-11T05:42:07.541363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:07.892020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 309
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)40.1%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean210069.84
Minimum206345.59
Maximum212867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:42:08.397880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206345.59
5-th percentile207756.29
Q1209087.12
median210267.72
Q3210971.14
95-th percentile212315.66
Maximum212867
Range6521.4085
Interquartile range (IQR)1884.0165

Descriptive statistics

Standard deviation1418.2413
Coefficient of variation (CV)0.0067512849
Kurtosis0.031999308
Mean210069.84
Median Absolute Deviation (MAD)961.81939
Skewness-0.53985593
Sum63441092
Variance2011408.5
MonotonicityNot monotonic
2024-05-11T05:42:08.886664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210267.723401039 14
 
4.5%
210849.897330572 12
 
3.9%
211370.241401981 12
 
3.9%
209945.27312216 11
 
3.6%
210610.518003698 9
 
2.9%
209790.959909032 8
 
2.6%
209305.904010267 8
 
2.6%
212546.955382427 8
 
2.6%
208851.007809422 7
 
2.3%
211525.928860841 7
 
2.3%
Other values (111) 206
66.7%
ValueCountFrequency (%)
206345.593755163 1
 
0.3%
206383.829438022 5
1.6%
206397.34797252 1
 
0.3%
206642.002868096 3
1.0%
206863.098535189 1
 
0.3%
206916.75835 2
 
0.6%
207649.560634469 1
 
0.3%
207693.782092778 1
 
0.3%
207756.287730017 5
1.6%
207794.327470743 1
 
0.3%
ValueCountFrequency (%)
212867.002215655 1
 
0.3%
212660.952102445 1
 
0.3%
212548.016675014 2
 
0.6%
212546.955382427 8
2.6%
212407.878210557 1
 
0.3%
212315.659206276 4
1.3%
212198.033236902 1
 
0.3%
212180.235515819 2
 
0.6%
212002.438587084 1
 
0.3%
211974.677925882 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)40.1%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean444783.79
Minimum440823.23
Maximum447960.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:42:09.327103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440823.23
5-th percentile442141.74
Q1443789.34
median444711.81
Q3445928.49
95-th percentile447120.58
Maximum447960.01
Range7136.7781
Interquartile range (IQR)2139.1535

Descriptive statistics

Standard deviation1446.5796
Coefficient of variation (CV)0.0032523209
Kurtosis-0.3415047
Mean444783.79
Median Absolute Deviation (MAD)1090.9762
Skewness-0.15885137
Sum1.343247 × 108
Variance2092592.6
MonotonicityNot monotonic
2024-05-11T05:42:09.954462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444343.80479706 14
 
4.5%
443789.337035202 12
 
3.9%
444688.750637811 12
 
3.9%
444412.852330114 11
 
3.6%
445128.513038493 9
 
2.9%
443481.212174317 8
 
2.6%
446695.511541932 8
 
2.6%
443225.075867848 8
 
2.6%
445928.490511145 7
 
2.3%
446381.991026383 7
 
2.3%
Other values (111) 206
66.7%
ValueCountFrequency (%)
440823.229256059 1
 
0.3%
441446.0 1
 
0.3%
441695.512 1
 
0.3%
441725.293491662 1
 
0.3%
441730.920486073 2
 
0.6%
441833.16323518 5
1.6%
442004.621552314 1
 
0.3%
442088.874608645 1
 
0.3%
442111.15088515 2
 
0.6%
442137.578674 1
 
0.3%
ValueCountFrequency (%)
447960.007314417 2
 
0.6%
447810.71845683 2
 
0.6%
447774.894651762 4
1.3%
447771.722892482 1
 
0.3%
447747.154077576 1
 
0.3%
447157.697879202 3
 
1.0%
447120.577229325 5
1.6%
447022.506952974 2
 
0.6%
447010.733212658 1
 
0.3%
446695.511541932 8
2.6%

위생업태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
위탁급식영업
244 
<NA>
65 

Length

Max length6
Median length6
Mean length5.579288
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 244
79.0%
<NA> 65
 
21.0%

Length

2024-05-11T05:42:10.587804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:10.997866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 244
79.0%
na 65
 
21.0%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
217 
0
89 
2
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.1067961
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 217
70.2%
0 89
28.8%
2 2
 
0.6%
1 1
 
0.3%

Length

2024-05-11T05:42:11.333046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:11.676068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
70.2%
0 89
28.8%
2 2
 
0.6%
1 1
 
0.3%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
217 
0
88 
7
 
2
8
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.1067961
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 217
70.2%
0 88
28.5%
7 2
 
0.6%
8 1
 
0.3%
1 1
 
0.3%

Length

2024-05-11T05:42:12.233345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:12.718710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 217
70.2%
0 88
28.5%
7 2
 
0.6%
8 1
 
0.3%
1 1
 
0.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
306 
상수도전용
 
3

Length

Max length5
Median length4
Mean length4.0097087
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 306
99.0%
상수도전용 3
 
1.0%

Length

2024-05-11T05:42:13.091494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:13.444958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 306
99.0%
상수도전용 3
 
1.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
15

Length

Max length4
Median length4
Mean length3.8543689
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> 294
95.1%
0 15
 
4.9%

Length

2024-05-11T05:42:13.952805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:14.371715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.1%
0 15
 
4.9%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
15

Length

Max length4
Median length4
Mean length3.8543689
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> 294
95.1%
0 15
 
4.9%

Length

2024-05-11T05:42:14.775572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:15.312838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.1%
0 15
 
4.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
15

Length

Max length4
Median length4
Mean length3.8543689
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> 294
95.1%
0 15
 
4.9%

Length

2024-05-11T05:42:15.722426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:16.186369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.1%
0 15
 
4.9%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
15

Length

Max length4
Median length4
Mean length3.8543689
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> 294
95.1%
0 15
 
4.9%

Length

2024-05-11T05:42:16.715924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:17.074841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.1%
0 15
 
4.9%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
15

Length

Max length4
Median length4
Mean length3.8543689
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> 294
95.1%
0 15
 
4.9%

Length

2024-05-11T05:42:17.568825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:17.997132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.1%
0 15
 
4.9%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
15

Length

Max length4
Median length4
Mean length3.8543689
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> 294
95.1%
0 15
 
4.9%

Length

2024-05-11T05:42:18.530643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:18.889680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.1%
0 15
 
4.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
0
 
15

Length

Max length4
Median length4
Mean length3.8543689
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> 294
95.1%
0 15
 
4.9%

Length

2024-05-11T05:42:19.252588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:42:19.575259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
95.1%
0 15
 
4.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing65
Missing (%)21.0%
Memory size750.0 B
False
244 
(Missing)
65 
ValueCountFrequency (%)
False 244
79.0%
(Missing) 65
 
21.0%
2024-05-11T05:42:19.891160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct176
Distinct (%)72.1%
Missing65
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean343.79783
Minimum0
Maximum1519
Zeros13
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T05:42:20.545408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.495
Q1108.885
median226.445
Q3475
95-th percentile1110
Maximum1519
Range1519
Interquartile range (IQR)366.115

Descriptive statistics

Standard deviation336.10653
Coefficient of variation (CV)0.97762843
Kurtosis1.8444016
Mean343.79783
Median Absolute Deviation (MAD)147.62
Skewness1.4886146
Sum83886.67
Variance112967.6
MonotonicityNot monotonic
2024-05-11T05:42:21.242470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
4.2%
227.49 6
 
1.9%
769.0 4
 
1.3%
475.0 4
 
1.3%
161.5 3
 
1.0%
149.0 3
 
1.0%
33.0 3
 
1.0%
1519.0 3
 
1.0%
200.0 3
 
1.0%
852.0 3
 
1.0%
Other values (166) 199
64.4%
(Missing) 65
 
21.0%
ValueCountFrequency (%)
0.0 13
4.2%
3.3 1
 
0.3%
5.65 1
 
0.3%
8.06 1
 
0.3%
8.25 1
 
0.3%
9.0 1
 
0.3%
10.0 2
 
0.6%
13.55 2
 
0.6%
15.0 1
 
0.3%
15.81 1
 
0.3%
ValueCountFrequency (%)
1519.0 3
1.0%
1368.84 1
 
0.3%
1308.72 2
0.6%
1259.79 1
 
0.3%
1180.68 2
0.6%
1159.35 1
 
0.3%
1145.4 1
 
0.3%
1111.09 1
 
0.3%
1110.0 2
0.6%
1106.0 1
 
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032300003230000-120-2003-0000120030612<NA>3폐업2폐업20031002<NA><NA><NA>02 5786100597.47138934서울특별시 송파구 신천동 7-11번지<NA><NA>(주)아벨라고매제일은행잠실지점2003-06-12 00:00:00I2018-08-31 23:59:59.0위탁급식영업208738.593846445977.157638위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N597.47<NA><NA><NA>
132300003230000-120-2003-0000220030617<NA>3폐업2폐업20101109<NA><NA><NA>02 4121629241.50138911서울특별시 송파구 잠실동 22-1번지<NA><NA>잠신중학교2003-06-17 00:00:00I2018-08-31 23:59:59.0위탁급식영업207693.782093445959.517357위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N241.5<NA><NA><NA>
232300003230000-120-2003-0000320030621<NA>3폐업2폐업20180402<NA><NA><NA><NA>165.00138871서울특별시 송파구 장지동 579번지 외 2필지서울특별시 송파구 헌릉로 869 (장지동,외 2필지)5844장지동공영차고지구내식당2018-04-02 17:03:51I2018-08-31 23:59:59.0위탁급식영업211593.37437440823.229256위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N165.0<NA><NA><NA>
332300003230000-120-2003-000042003-06-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 4106479122.77138-934서울특별시 송파구 신천동 7-23서울특별시 송파구 올림픽로 299 (신천동)5510대한에프에쓰에쓰(주) 대한제당본사지점2023-07-12 16:18:29U2022-12-06 23:04:00.0위탁급식영업209083.899742445916.209435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432300003230000-120-2003-0000520030627<NA>3폐업2폐업20040408<NA><NA><NA>02 4095188483.60138802서울특별시 송파구 가락동 58-0번지<NA><NA>경찰병원구내식당2003-06-27 00:00:00I2018-08-31 23:59:59.0위탁급식영업210849.897331443789.337035위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N483.6<NA><NA><NA>
532300003230000-120-2003-0000620030701<NA>1영업/정상1영업<NA><NA><NA><NA>02 4841214162.00138878서울특별시 송파구 풍납동 390-0번지서울특별시 송파구 올림픽로43길 20 (풍납동)5506풍납중학교2006-07-28 00:00:00I2018-08-31 23:59:59.0위탁급식영업210205.451506447022.506953위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N162.0<NA><NA><NA>
632300003230000-120-2003-0000820030710<NA>3폐업2폐업20091231<NA><NA><NA>02 4028722600.60138855서울특별시 송파구 오금동 34-3번지<NA><NA>에렉스에프앤비(주)오금고2007-05-28 00:00:00I2018-08-31 23:59:59.0위탁급식영업211370.241402444688.750638위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N600.6<NA><NA><NA>
732300003230000-120-2003-0000920030712<NA>3폐업2폐업20050225<NA><NA><NA>0234020180355.64138855서울특별시 송파구 오금동 7-3번지<NA><NA>한화국토개발(주)세륜중2003-07-12 00:00:00I2018-08-31 23:59:59.0위탁급식영업211547.349207445150.768575위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N355.64<NA><NA><NA>
832300003230000-120-2003-0001020030715<NA>3폐업2폐업20101029<NA><NA><NA>02 4011034208.91138829서울특별시 송파구 방이동 89-6번지<NA><NA>한화호텔앤드리조트(주)창덕여고2010-01-21 17:01:38I2018-08-31 23:59:59.0위탁급식영업212315.659206445978.844198위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N208.91<NA><NA><NA>
932300003230000-120-2003-0001120030723<NA>3폐업2폐업20110902<NA><NA><NA>02 4145820198.00138841서울특별시 송파구 삼전동 172-1번지<NA><NA>한화호텔앤드리조트(주)배명중고2010-01-18 13:15:21I2018-08-31 23:59:59.0위탁급식영업208401.785801444028.984956위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N198.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
29932300003230000-120-2023-000072023-07-03<NA>1영업/정상1영업<NA><NA><NA><NA>02 21893088554.70138-855서울특별시 송파구 오금동 24 지아이티빌딩서울특별시 송파구 마천로 87, 지아이티빌딩 지하1층 (오금동)5655(주)풀무원푸드앤컬처 지아이티2023-07-19 16:21:35U2022-12-06 22:01:00.0위탁급식영업211427.567393445009.371814<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30032300003230000-120-2023-000082023-11-22<NA>1영업/정상1영업<NA><NA><NA><NA>0233920455264.00138-962서울특별시 송파구 문정동 628 가든파이브툴서울특별시 송파구 충민로 10, 가든파이브툴 S-13호 (문정동)5840(주)엘에스씨푸드 이마트가든5점2024-04-05 13:54:50U2023-12-04 00:07:00.0위탁급식영업210480.282019441833.163235<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30132300003230000-120-2024-000012024-01-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>281.80138-889서울특별시 송파구 잠실동 10 서울종합운동장서울특별시 송파구 올림픽로 25, 서울종합운동장 주경기장 지하1층 B18호 (잠실동)5500주식회사 두리밥상2024-01-12 16:02:27I2023-11-30 23:04:00.0위탁급식영업206383.829438446030.128073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30232300003230000-120-2024-000022024-01-25<NA>1영업/정상1영업<NA><NA><NA><NA>02 4101090195.00138-829서울특별시 송파구 방이동 88 서울올림픽파크텔서울특별시 송파구 올림픽로 448, 서울올림픽파크텔 지하1층 (방이동)5540파크프렌드(올림픽파크텔직원식당)2024-04-05 13:55:27U2023-12-04 00:07:00.0위탁급식영업210199.459219446539.279382<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30332300003230000-120-2024-000032024-01-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>231.32138-854서울특별시 송파구 송파동 186서울특별시 송파구 송파대로34길 21, 지하1층 (송파동)5677딜라이브 텔레웍스2024-01-30 11:11:39I2023-12-02 00:01:00.0위탁급식영업210081.928431444113.743958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30432300003230000-120-2024-000042024-02-27<NA>1영업/정상1영업<NA><NA><NA><NA>02 406 0592346.82138-855서울특별시 송파구 오금동 34-3 오금고등학교서울특별시 송파구 중대로 247, 오금고등학교 (오금동)5660가람푸드써비스(주) 오금고점2024-02-27 11:09:38I2023-12-01 22:09:00.0위탁급식영업211370.241402444688.750638<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30532300003230000-120-2024-000052024-02-27<NA>1영업/정상1영업<NA><NA><NA><NA>02 416 4658293.00138-854서울특별시 송파구 송파동 172 서울가락고등학교서울특별시 송파구 송이로 42, 서울가락고등학교 (송파동)5678가람푸드써비스(주) 가락고점2024-02-27 11:13:47I2023-12-01 22:09:00.0위탁급식영업210267.723401444343.804797<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30632300003230000-120-2024-000062024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 918 7761803.00138-816서울특별시 송파구 거여동 331 서울인공지능고등학교서울특별시 송파구 양산로 21, 서울인공지능고등학교 (거여동)5771세종에프앤에스(주)-서울인공지능고2024-03-04 16:54:38I2023-12-03 00:06:00.0위탁급식영업212546.955382443225.075868<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30732300003230000-120-2024-000072024-03-05<NA>1영업/정상1영업<NA><NA><NA><NA>02 3392045584.00138-240서울특별시 송파구 신천동 17-1 잠실고등학교서울특별시 송파구 올림픽로33길 71, 잠실고등학교 (신천동)5507(주)엘에스씨푸드 잠실고등학교2024-03-05 16:06:48I2023-12-03 00:07:00.0위탁급식영업209305.90401446695.511542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30832300003230000-120-2024-000082024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>209.09138-130서울특별시 송파구 오금동 50-3 서울송파우체국서울특별시 송파구 오금로 323, 서울송파우체국 지하1층 (오금동)5661대한에프에쓰에쓰(주)서울송파우체국2024-05-07 14:24:28I2023-12-05 00:09:00.0위탁급식영업211235.630172444498.780331<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>