Overview

Dataset statistics

Number of variables44
Number of observations43
Missing cells429
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory381.1 B

Variable types

Categorical20
Text6
DateTime4
Unsupported9
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-18034/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (63.5%)Imbalance
남성종사자수 is highly imbalanced (63.5%)Imbalance
여성종사자수 is highly imbalanced (63.5%)Imbalance
총인원 is highly imbalanced (63.5%)Imbalance
보증액 is highly imbalanced (63.5%)Imbalance
월세액 is highly imbalanced (63.5%)Imbalance
시설총규모 is highly imbalanced (64.1%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 12 (27.9%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
전화번호 has 13 (30.2%) missing valuesMissing
도로명주소 has 6 (14.0%) missing valuesMissing
도로명우편번호 has 8 (18.6%) missing valuesMissing
영업장주변구분명 has 43 (100.0%) missing valuesMissing
등급구분명 has 43 (100.0%) missing valuesMissing
다중이용업소여부 has 3 (7.0%) missing valuesMissing
전통업소지정번호 has 43 (100.0%) missing valuesMissing
전통업소주된음식 has 43 (100.0%) missing valuesMissing
홈페이지 has 43 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 05:44:12.796887
Analysis finished2024-05-11 05:44:13.446353
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
3070000
43 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 43
100.0%

Length

2024-05-11T14:44:13.522056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:13.664504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 43
100.0%

관리번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T14:44:13.863690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters946
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row3070000-122-2008-00001
2nd row3070000-122-2008-00002
3rd row3070000-122-2008-00003
4th row3070000-122-2008-00004
5th row3070000-122-2008-00005
ValueCountFrequency (%)
3070000-122-2008-00001 1
 
2.3%
3070000-122-2012-00002 1
 
2.3%
3070000-122-2012-00004 1
 
2.3%
3070000-122-2013-00001 1
 
2.3%
3070000-122-2013-00002 1
 
2.3%
3070000-122-2015-00001 1
 
2.3%
3070000-122-2015-00002 1
 
2.3%
3070000-122-2015-00003 1
 
2.3%
3070000-122-2015-00004 1
 
2.3%
3070000-122-2017-00001 1
 
2.3%
Other values (33) 33
76.7%
2024-05-11T14:44:14.248669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 449
47.5%
2 148
 
15.6%
- 129
 
13.6%
1 92
 
9.7%
3 53
 
5.6%
7 47
 
5.0%
8 7
 
0.7%
5 7
 
0.7%
4 6
 
0.6%
9 6
 
0.6%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 449
55.0%
2 148
 
18.1%
1 92
 
11.3%
3 53
 
6.5%
7 47
 
5.8%
8 7
 
0.9%
5 7
 
0.9%
4 6
 
0.7%
9 6
 
0.7%
6 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 449
47.5%
2 148
 
15.6%
- 129
 
13.6%
1 92
 
9.7%
3 53
 
5.6%
7 47
 
5.0%
8 7
 
0.7%
5 7
 
0.7%
4 6
 
0.6%
9 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 449
47.5%
2 148
 
15.6%
- 129
 
13.6%
1 92
 
9.7%
3 53
 
5.6%
7 47
 
5.0%
8 7
 
0.7%
5 7
 
0.7%
4 6
 
0.6%
9 6
 
0.6%

인허가일자
Date

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2008-06-23 00:00:00
Maximum2022-11-30 00:00:00
2024-05-11T14:44:14.435517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:14.644343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
31 
1
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
72.1%
1 12
 
27.9%

Length

2024-05-11T14:44:14.784299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:14.915885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
72.1%
1 12
 
27.9%

영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
31 
영업/정상
12 

Length

Max length5
Median length2
Mean length2.8372093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
72.1%
영업/정상 12
 
27.9%

Length

2024-05-11T14:44:15.058441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:15.224182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
72.1%
영업/정상 12
 
27.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2
31 
1
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 31
72.1%
1 12
 
27.9%

Length

2024-05-11T14:44:15.656100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:15.797395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 31
72.1%
1 12
 
27.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
31 
영업
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
72.1%
영업 12
 
27.9%

Length

2024-05-11T14:44:15.920317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:16.052933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
72.1%
영업 12
 
27.9%

폐업일자
Date

MISSING 

Distinct27
Distinct (%)87.1%
Missing12
Missing (%)27.9%
Memory size476.0 B
Minimum2010-08-19 00:00:00
Maximum2023-07-27 00:00:00
2024-05-11T14:44:16.194132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:16.391243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct29
Distinct (%)96.7%
Missing13
Missing (%)30.2%
Memory size476.0 B
2024-05-11T14:44:16.573535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.633333
Min length10

Characters and Unicode

Total characters319
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

Unique28 ?
Unique (%)93.3%

Sample

1st row02 9122195
2nd row02 911 7769
3rd row0232908000
4th row02 9247945
5th row02 9538681
ValueCountFrequency (%)
02 23
38.3%
0232955289 2
 
3.3%
911 2
 
3.3%
9347275 1
 
1.7%
0222824708 1
 
1.7%
9590552 1
 
1.7%
9666247 1
 
1.7%
959 1
 
1.7%
5545 1
 
1.7%
9685959 1
 
1.7%
Other values (26) 26
43.3%
2024-05-11T14:44:16.897539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 56
17.6%
0 49
15.4%
9 41
12.9%
39
12.2%
5 31
9.7%
7 24
7.5%
1 18
 
5.6%
4 17
 
5.3%
6 17
 
5.3%
8 14
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
87.8%
Space Separator 39
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 56
20.0%
0 49
17.5%
9 41
14.6%
5 31
11.1%
7 24
8.6%
1 18
 
6.4%
4 17
 
6.1%
6 17
 
6.1%
8 14
 
5.0%
3 13
 
4.6%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 56
17.6%
0 49
15.4%
9 41
12.9%
39
12.2%
5 31
9.7%
7 24
7.5%
1 18
 
5.6%
4 17
 
5.3%
6 17
 
5.3%
8 14
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 56
17.6%
0 49
15.4%
9 41
12.9%
39
12.2%
5 31
9.7%
7 24
7.5%
1 18
 
5.6%
4 17
 
5.3%
6 17
 
5.3%
8 14
 
4.4%

소재지면적
Real number (ℝ)

Distinct38
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.994884
Minimum3.3
Maximum168.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T14:44:17.027290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile12.81
Q122.16
median35
Q351.55
95-th percentile112.38
Maximum168.31
Range165.01
Interquartile range (IQR)29.39

Descriptive statistics

Standard deviation32.665988
Coefficient of variation (CV)0.75976454
Kurtosis5.1892278
Mean42.994884
Median Absolute Deviation (MAD)15
Skewness2.0634193
Sum1848.78
Variance1067.0668
MonotonicityNot monotonic
2024-05-11T14:44:17.163735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
17.28 3
 
7.0%
35.0 2
 
4.7%
23.0 2
 
4.7%
44.0 2
 
4.7%
36.36 1
 
2.3%
10.0 1
 
2.3%
18.19 1
 
2.3%
25.6 1
 
2.3%
116.0 1
 
2.3%
32.4 1
 
2.3%
Other values (28) 28
65.1%
ValueCountFrequency (%)
3.3 1
 
2.3%
10.0 1
 
2.3%
12.4 1
 
2.3%
16.5 1
 
2.3%
17.28 3
7.0%
18.0 1
 
2.3%
18.19 1
 
2.3%
21.3 1
 
2.3%
21.32 1
 
2.3%
23.0 2
4.7%
ValueCountFrequency (%)
168.31 1
2.3%
131.57 1
2.3%
116.0 1
2.3%
79.8 1
2.3%
76.44 1
2.3%
67.76 1
2.3%
63.0 1
2.3%
60.0 1
2.3%
59.59 1
2.3%
58.24 1
2.3%

소재지우편번호
Text

Distinct27
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T14:44:17.365571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0465116
Min length6

Characters and Unicode

Total characters260
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

Unique15 ?
Unique (%)34.9%

Sample

1st row136851
2nd row136831
3rd row136860
4th row136860
5th row136045
ValueCountFrequency (%)
136817 4
 
9.3%
136858 3
 
7.0%
136818 3
 
7.0%
136820 2
 
4.7%
136-820 2
 
4.7%
136120 2
 
4.7%
136815 2
 
4.7%
136852 2
 
4.7%
136140 2
 
4.7%
136816 2
 
4.7%
Other values (17) 19
44.2%
2024-05-11T14:44:17.714606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 64
24.6%
6 48
18.5%
3 44
16.9%
8 43
16.5%
0 17
 
6.5%
2 13
 
5.0%
5 11
 
4.2%
7 7
 
2.7%
4 7
 
2.7%
9 4
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
99.2%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 64
24.8%
6 48
18.6%
3 44
17.1%
8 43
16.7%
0 17
 
6.6%
2 13
 
5.0%
5 11
 
4.3%
7 7
 
2.7%
4 7
 
2.7%
9 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 64
24.6%
6 48
18.5%
3 44
16.9%
8 43
16.5%
0 17
 
6.5%
2 13
 
5.0%
5 11
 
4.2%
7 7
 
2.7%
4 7
 
2.7%
9 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 64
24.6%
6 48
18.5%
3 44
16.9%
8 43
16.5%
0 17
 
6.5%
2 13
 
5.0%
5 11
 
4.2%
7 7
 
2.7%
4 7
 
2.7%
9 4
 
1.5%

지번주소
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T14:44:18.008360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length24.139535
Min length19

Characters and Unicode

Total characters1038
Distinct characters67
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

Unique41 ?
Unique (%)95.3%

Sample

1st row서울특별시 성북구 정릉동 494 정릉중앙하이츠빌1단지아파트 상가동 101호
2nd row서울특별시 성북구 장위동 82-4
3rd row서울특별시 성북구 종암동 25-10
4th row서울특별시 성북구 종암동 23-18
5th row서울특별시 성북구 삼선동5가 28-3 (지상1층)
ValueCountFrequency (%)
서울특별시 43
21.6%
성북구 43
21.6%
석관동 16
 
8.0%
지상1층 12
 
6.0%
정릉동 6
 
3.0%
장위동 5
 
2.5%
종암동 5
 
2.5%
길음동 4
 
2.0%
102호 3
 
1.5%
1층 3
 
1.5%
Other values (50) 59
29.6%
2024-05-11T14:44:18.416541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
18.7%
1 61
 
5.9%
서 44
 
4.2%
성 44
 
4.2%
북 44
 
4.2%
동 44
 
4.2%
특 43
 
4.1%
별 43
 
4.1%
시 43
 
4.1%
구 43
 
4.1%
Other values (57) 435
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
53.9%
Decimal Number 218
 
21.0%
Space Separator 194
 
18.7%
Dash Punctuation 39
 
3.8%
Open Punctuation 12
 
1.2%
Close Punctuation 12
 
1.2%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 44
 
7.9%
성 44
 
7.9%
북 44
 
7.9%
동 44
 
7.9%
특 43
 
7.7%
별 43
 
7.7%
시 43
 
7.7%
구 43
 
7.7%
울 43
 
7.7%
관 16
 
2.9%
Other values (40) 153
27.3%
Decimal Number
ValueCountFrequency (%)
1 61
28.0%
2 28
12.8%
3 24
 
11.0%
8 20
 
9.2%
4 19
 
8.7%
5 19
 
8.7%
0 17
 
7.8%
6 14
 
6.4%
9 8
 
3.7%
7 8
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
53.9%
Common 476
45.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 44
 
7.9%
성 44
 
7.9%
북 44
 
7.9%
동 44
 
7.9%
특 43
 
7.7%
별 43
 
7.7%
시 43
 
7.7%
구 43
 
7.7%
울 43
 
7.7%
관 16
 
2.9%
Other values (40) 153
27.3%
Common
ValueCountFrequency (%)
194
40.8%
1 61
 
12.8%
- 39
 
8.2%
2 28
 
5.9%
3 24
 
5.0%
8 20
 
4.2%
4 19
 
4.0%
5 19
 
4.0%
0 17
 
3.6%
6 14
 
2.9%
Other values (5) 41
 
8.6%
Latin
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
53.9%
ASCII 478
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
40.6%
1 61
 
12.8%
- 39
 
8.2%
2 28
 
5.9%
3 24
 
5.0%
8 20
 
4.2%
4 19
 
4.0%
5 19
 
4.0%
0 17
 
3.6%
6 14
 
2.9%
Other values (7) 43
 
9.0%
Hangul
ValueCountFrequency (%)
서 44
 
7.9%
성 44
 
7.9%
북 44
 
7.9%
동 44
 
7.9%
특 43
 
7.7%
별 43
 
7.7%
시 43
 
7.7%
구 43
 
7.7%
울 43
 
7.7%
관 16
 
2.9%
Other values (40) 153
27.3%

도로명주소
Text

MISSING 

Distinct35
Distinct (%)94.6%
Missing6
Missing (%)14.0%
Memory size476.0 B
2024-05-11T14:44:18.744581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length31.162162
Min length25

Characters and Unicode

Total characters1153
Distinct characters87
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

Unique33 ?
Unique (%)89.2%

Sample

1st row서울특별시 성북구 장위로49길 31 (장위동)
2nd row서울특별시 성북구 삼선교로24길 18, 지상1층 (삼선동5가)
3rd row서울특별시 성북구 솔샘로6길 36-3 (정릉동,번지(서현빌라트 1층 102호))
4th row서울특별시 성북구 한천로68길 3 (석관동,(지상1층))
5th row서울특별시 성북구 한천로 588 (석관동,(지상1층))
ValueCountFrequency (%)
서울특별시 37
 
16.7%
성북구 37
 
16.7%
1층 13
 
5.9%
석관동 9
 
4.1%
지상1층 7
 
3.2%
석관동,(지상1층 6
 
2.7%
장위동 5
 
2.3%
3 4
 
1.8%
화랑로32길 4
 
1.8%
길음동 3
 
1.4%
Other values (77) 96
43.4%
2024-05-11T14:44:19.255603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
16.0%
1 50
 
4.3%
) 45
 
3.9%
( 45
 
3.9%
성 40
 
3.5%
북 40
 
3.5%
서 38
 
3.3%
울 37
 
3.2%
동 37
 
3.2%
로 37
 
3.2%
Other values (77) 600
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 660
57.2%
Space Separator 184
 
16.0%
Decimal Number 176
 
15.3%
Close Punctuation 45
 
3.9%
Open Punctuation 45
 
3.9%
Other Punctuation 38
 
3.3%
Dash Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 40
 
6.1%
북 40
 
6.1%
서 38
 
5.8%
울 37
 
5.6%
동 37
 
5.6%
로 37
 
5.6%
별 37
 
5.6%
특 37
 
5.6%
구 37
 
5.6%
시 37
 
5.6%
Other values (59) 283
42.9%
Decimal Number
ValueCountFrequency (%)
1 50
28.4%
3 23
13.1%
4 21
11.9%
8 19
 
10.8%
2 18
 
10.2%
6 13
 
7.4%
5 11
 
6.2%
0 10
 
5.7%
9 8
 
4.5%
7 3
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 37
97.4%
/ 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 660
57.2%
Common 491
42.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 40
 
6.1%
북 40
 
6.1%
서 38
 
5.8%
울 37
 
5.6%
동 37
 
5.6%
로 37
 
5.6%
별 37
 
5.6%
특 37
 
5.6%
구 37
 
5.6%
시 37
 
5.6%
Other values (59) 283
42.9%
Common
ValueCountFrequency (%)
184
37.5%
1 50
 
10.2%
) 45
 
9.2%
( 45
 
9.2%
, 37
 
7.5%
3 23
 
4.7%
4 21
 
4.3%
8 19
 
3.9%
2 18
 
3.7%
6 13
 
2.6%
Other values (6) 36
 
7.3%
Latin
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 660
57.2%
ASCII 493
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
37.3%
1 50
 
10.1%
) 45
 
9.1%
( 45
 
9.1%
, 37
 
7.5%
3 23
 
4.7%
4 21
 
4.3%
8 19
 
3.9%
2 18
 
3.7%
6 13
 
2.6%
Other values (8) 38
 
7.7%
Hangul
ValueCountFrequency (%)
성 40
 
6.1%
북 40
 
6.1%
서 38
 
5.8%
울 37
 
5.6%
동 37
 
5.6%
로 37
 
5.6%
별 37
 
5.6%
특 37
 
5.6%
구 37
 
5.6%
시 37
 
5.6%
Other values (59) 283
42.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)65.7%
Missing8
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean2779.3429
Minimum2708
Maximum2864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T14:44:19.433444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2708
5-th percentile2709
Q12773
median2782
Q32789
95-th percentile2846.6
Maximum2864
Range156
Interquartile range (IQR)16

Descriptive statistics

Standard deviation37.786508
Coefficient of variation (CV)0.013595483
Kurtosis0.55259827
Mean2779.3429
Median Absolute Deviation (MAD)9
Skewness0.045665822
Sum97277
Variance1427.8202
MonotonicityNot monotonic
2024-05-11T14:44:19.591766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2781 4
 
9.3%
2789 3
 
7.0%
2795 2
 
4.7%
2709 2
 
4.7%
2782 2
 
4.7%
2726 2
 
4.7%
2785 2
 
4.7%
2775 2
 
4.7%
2773 2
 
4.7%
2864 1
 
2.3%
Other values (13) 13
30.2%
(Missing) 8
18.6%
ValueCountFrequency (%)
2708 1
 
2.3%
2709 2
4.7%
2726 2
4.7%
2732 1
 
2.3%
2736 1
 
2.3%
2765 1
 
2.3%
2773 2
4.7%
2775 2
4.7%
2781 4
9.3%
2782 2
4.7%
ValueCountFrequency (%)
2864 1
 
2.3%
2862 1
 
2.3%
2840 1
 
2.3%
2835 1
 
2.3%
2816 1
 
2.3%
2796 1
 
2.3%
2795 2
4.7%
2789 3
7.0%
2788 1
 
2.3%
2787 1
 
2.3%

사업장명
Text

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T14:44:19.924807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.5116279
Min length3

Characters and Unicode

Total characters280
Distinct characters103
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)90.7%

Sample

1st row유한유통
2nd row우리농장
3rd row(주)호일바이오메드
4th row맥고야
5th row청정푸드
ValueCountFrequency (%)
주식회사 4
 
8.0%
주)자미원에프앤지 2
 
4.0%
가미푸드 2
 
4.0%
진로식자재마트 1
 
2.0%
주)왕부라더스 1
 
2.0%
산토리노 1
 
2.0%
성북강북키즈 1
 
2.0%
아라식품 1
 
2.0%
유한유통 1
 
2.0%
케이푸드서비스 1
 
2.0%
Other values (35) 35
70.0%
2024-05-11T14:44:20.428362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 14
 
5.0%
주 13
 
4.6%
식 13
 
4.6%
푸 12
 
4.3%
( 7
 
2.5%
) 7
 
2.5%
품 7
 
2.5%
7
 
2.5%
에 7
 
2.5%
사 7
 
2.5%
Other values (93) 186
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
92.5%
Open Punctuation 7
 
2.5%
Close Punctuation 7
 
2.5%
Space Separator 7
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 14
 
5.4%
주 13
 
5.0%
식 13
 
5.0%
푸 12
 
4.6%
품 7
 
2.7%
에 7
 
2.7%
사 7
 
2.7%
서 7
 
2.7%
회 6
 
2.3%
스 6
 
2.3%
Other values (90) 167
64.5%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
92.5%
Common 21
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 14
 
5.4%
주 13
 
5.0%
식 13
 
5.0%
푸 12
 
4.6%
품 7
 
2.7%
에 7
 
2.7%
사 7
 
2.7%
서 7
 
2.7%
회 6
 
2.3%
스 6
 
2.3%
Other values (90) 167
64.5%
Common
ValueCountFrequency (%)
( 7
33.3%
) 7
33.3%
7
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
92.5%
ASCII 21
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 14
 
5.4%
주 13
 
5.0%
식 13
 
5.0%
푸 12
 
4.6%
품 7
 
2.7%
에 7
 
2.7%
사 7
 
2.7%
서 7
 
2.7%
회 6
 
2.3%
스 6
 
2.3%
Other values (90) 167
64.5%
ASCII
ValueCountFrequency (%)
( 7
33.3%
) 7
33.3%
7
33.3%

최종수정일자
Date

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2010-02-18 11:52:54
Maximum2023-07-27 09:23:55
2024-05-11T14:44:20.617659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:20.794117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
I
33 
U
10 

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 33
76.7%
U 10
 
23.3%

Length

2024-05-11T14:44:20.988825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:21.133656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
76.7%
u 10
 
23.3%

데이터갱신일자
Date

Distinct16
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-06 22:09:00
2024-05-11T14:44:21.278012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:21.436977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Categorical

CONSTANT 

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

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 43
100.0%

Length

2024-05-11T14:44:21.589417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:21.720285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 43
50.0%
식품판매업 43
50.0%

좌표정보(X)
Real number (ℝ)

Distinct35
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203575.18
Minimum200137.46
Maximum205727.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T14:44:21.860095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200137.46
5-th percentile200310.63
Q1201937.7
median204450.13
Q3205337.31
95-th percentile205600.72
Maximum205727.46
Range5589.9981
Interquartile range (IQR)3399.6101

Descriptive statistics

Standard deviation1899.6655
Coefficient of variation (CV)0.0093315179
Kurtosis-1.251975
Mean203575.18
Median Absolute Deviation (MAD)1097.5508
Skewness-0.52816895
Sum8753733
Variance3608728.9
MonotonicityNot monotonic
2024-05-11T14:44:22.061698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
204966.507726569 3
 
7.0%
204624.00934025 2
 
4.7%
200137.458489588 2
 
4.7%
203392.958657807 2
 
4.7%
205362.917959459 2
 
4.7%
205727.456596532 2
 
4.7%
205399.674028112 2
 
4.7%
204314.30518291 1
 
2.3%
205547.676791117 1
 
2.3%
201901.242396832 1
 
2.3%
Other values (25) 25
58.1%
ValueCountFrequency (%)
200137.458489588 2
4.7%
200280.271942246 1
2.3%
200583.821980246 1
2.3%
200716.014663731 1
2.3%
200765.952478782 1
2.3%
200842.82303689 1
2.3%
201294.116194069 1
2.3%
201492.086483957 1
2.3%
201901.242396832 1
2.3%
201917.04317965 1
2.3%
ValueCountFrequency (%)
205727.456596532 2
4.7%
205603.099834605 1
2.3%
205579.315116664 1
2.3%
205547.676791117 1
2.3%
205399.674028112 2
4.7%
205388.459046783 1
2.3%
205379.741143006 1
2.3%
205362.917959459 2
4.7%
205311.696171629 1
2.3%
205135.055373084 1
2.3%

좌표정보(Y)
Real number (ℝ)

Distinct35
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456002.01
Minimum453922.73
Maximum457294.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T14:44:22.248107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453922.73
5-th percentile454326.98
Q1455695.44
median456239.15
Q3456478.28
95-th percentile457131.37
Maximum457294.79
Range3372.0597
Interquartile range (IQR)782.83983

Descriptive statistics

Standard deviation845.38767
Coefficient of variation (CV)0.0018539121
Kurtosis0.22962209
Mean456002.01
Median Absolute Deviation (MAD)333.09896
Skewness-0.98430487
Sum19608087
Variance714680.3
MonotonicityNot monotonic
2024-05-11T14:44:22.439714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
456239.148894852 3
 
7.0%
457294.793842476 2
 
4.7%
456184.883992824 2
 
4.7%
454936.94521078 2
 
4.7%
456478.277539777 2
 
4.7%
456203.655657694 2
 
4.7%
456618.965264282 2
 
4.7%
456178.363012559 1
 
2.3%
456615.709845773 1
 
2.3%
454854.881014405 1
 
2.3%
Other values (25) 25
58.1%
ValueCountFrequency (%)
453922.734122367 1
2.3%
454082.909414879 1
2.3%
454303.730141757 1
2.3%
454536.245947439 1
2.3%
454628.821819647 1
2.3%
454804.944774606 1
2.3%
454854.881014405 1
2.3%
454936.94521078 2
4.7%
455573.31442532 1
2.3%
455606.716800947 1
2.3%
ValueCountFrequency (%)
457294.793842476 2
4.7%
457170.634900363 1
2.3%
456777.970966927 1
2.3%
456726.985217762 1
2.3%
456650.848171356 1
2.3%
456618.965264282 2
4.7%
456615.709845773 1
2.3%
456572.247857131 1
2.3%
456478.277539777 2
4.7%
456467.370606031 1
2.3%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
집단급식소 식품판매업
40 
<NA>
 
3

Length

Max length11
Median length11
Mean length10.511628
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 40
93.0%
<NA> 3
 
7.0%

Length

2024-05-11T14:44:22.684054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:22.856309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 40
48.2%
식품판매업 40
48.2%
na 3
 
3.6%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
0
 
3

Length

Max length4
Median length4
Mean length3.7906977
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> 40
93.0%
0 3
 
7.0%

Length

2024-05-11T14:44:23.009070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:23.139117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
0 3
 
7.0%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
0
 
3

Length

Max length4
Median length4
Mean length3.7906977
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> 40
93.0%
0 3
 
7.0%

Length

2024-05-11T14:44:23.280058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:23.415547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
0 3
 
7.0%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

급수시설구분명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
38 
상수도전용
5 

Length

Max length5
Median length4
Mean length4.1162791
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> 38
88.4%
상수도전용 5
 
11.6%

Length

2024-05-11T14:44:23.558451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:23.689008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
88.4%
상수도전용 5
 
11.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
0
 
3

Length

Max length4
Median length4
Mean length3.7906977
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> 40
93.0%
0 3
 
7.0%

Length

2024-05-11T14:44:23.827493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:23.980362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
0 3
 
7.0%

본사종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
27 
<NA>
16 

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
62.8%
<NA> 16
37.2%

Length

2024-05-11T14:44:24.133590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:24.283556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
62.8%
na 16
37.2%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
27 
<NA>
16 

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
62.8%
<NA> 16
37.2%

Length

2024-05-11T14:44:24.463230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:24.634234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
62.8%
na 16
37.2%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
27 
<NA>
16 

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
62.8%
<NA> 16
37.2%

Length

2024-05-11T14:44:24.780892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:24.953389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
62.8%
na 16
37.2%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
27 
<NA>
16 

Length

Max length4
Median length1
Mean length2.1162791
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
62.8%
<NA> 16
37.2%

Length

2024-05-11T14:44:25.094701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:25.242115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
62.8%
na 16
37.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
임대
20 
<NA>
18 
자가
5 

Length

Max length4
Median length2
Mean length2.8372093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임대 20
46.5%
<NA> 18
41.9%
자가 5
 
11.6%

Length

2024-05-11T14:44:25.719741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:25.867323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대 20
46.5%
na 18
41.9%
자가 5
 
11.6%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
0
 
3

Length

Max length4
Median length4
Mean length3.7906977
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> 40
93.0%
0 3
 
7.0%

Length

2024-05-11T14:44:26.021574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:26.160156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
0 3
 
7.0%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
0
 
3

Length

Max length4
Median length4
Mean length3.7906977
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> 40
93.0%
0 3
 
7.0%

Length

2024-05-11T14:44:26.296821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:26.450991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
0 3
 
7.0%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.5%
Missing3
Missing (%)7.0%
Memory size218.0 B
False
40 
(Missing)
 
3
ValueCountFrequency (%)
False 40
93.0%
(Missing) 3
 
7.0%
2024-05-11T14:44:26.592534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
0.0
37 
<NA>
 
3
18.2
 
1
4.0
 
1
49.59
 
1

Length

Max length5
Median length3
Mean length3.1395349
Min length3

Unique

Unique3 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 37
86.0%
<NA> 3
 
7.0%
18.2 1
 
2.3%
4.0 1
 
2.3%
49.59 1
 
2.3%

Length

2024-05-11T14:44:26.772907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:26.961006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 37
86.0%
na 3
 
7.0%
18.2 1
 
2.3%
4.0 1
 
2.3%
49.59 1
 
2.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030700003070000-122-2008-0000120080623<NA>3폐업2폐업20111214<NA><NA><NA>02 912219539.2136851서울특별시 성북구 정릉동 494 정릉중앙하이츠빌1단지아파트 상가동 101호<NA><NA>유한유통2010-10-18 14:13:52I2018-08-31 23:59:59.0집단급식소 식품판매업200765.952479455606.716801집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
130700003070000-122-2008-0000220080721<NA>1영업/정상1영업<NA><NA><NA><NA>02 911 776950.8136831서울특별시 성북구 장위동 82-4서울특별시 성북구 장위로49길 31 (장위동)2765우리농장2018-03-05 11:10:23I2018-08-31 23:59:59.0집단급식소 식품판매업204701.774884457170.6349집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
230700003070000-122-2008-0000320080724<NA>3폐업2폐업20110613<NA><NA><NA>023290800079.8136860서울특별시 성북구 종암동 25-10<NA><NA>(주)호일바이오메드2010-10-18 14:14:27I2018-08-31 23:59:59.0집단급식소 식품판매업203078.937018454628.82182집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
330700003070000-122-2008-0000420080808<NA>3폐업2폐업20111214<NA><NA><NA>02 924794560.0136860서울특별시 성북구 종암동 23-18<NA><NA>맥고야2010-10-18 14:14:41I2018-08-31 23:59:59.0집단급식소 식품판매업203017.744543454804.944775집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
430700003070000-122-2008-0000520080819<NA>3폐업2폐업20161020<NA><NA><NA>02 953868163.0136045서울특별시 성북구 삼선동5가 28-3 (지상1층)서울특별시 성북구 삼선교로24길 18, 지상1층 (삼선동5가)2862청정푸드2016-10-20 14:35:47I2018-08-31 23:59:59.0집단급식소 식품판매업201294.116194454082.909415집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
530700003070000-122-2008-0000620080919<NA>3폐업2폐업20210408<NA><NA><NA>02 915415233.12136850서울특별시 성북구 정릉동 372-3 번지(서현빌라트 1층 102호)서울특별시 성북구 솔샘로6길 36-3 (정릉동,번지(서현빌라트 1층 102호))2709푸드머스동북특판2021-04-08 17:17:38U2021-04-10 02:40:00.0집단급식소 식품판매업200583.82198456339.426752집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
630700003070000-122-2009-0000120090803<NA>3폐업2폐업20100819<NA><NA><NA>02 978995824.0136818서울특별시 성북구 석관동 185-68 번지<NA><NA>태서식품서울영업소 태백고원김치2010-02-18 11:52:54I2018-08-31 23:59:59.0집단급식소 식품판매업205362.917959456478.27754집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA>
730700003070000-122-2010-0000120100511<NA>3폐업2폐업20121016<NA><NA><NA>0708791770752.3136816서울특별시 성북구 석관동 85-15 (지상1층)서울특별시 성북구 한천로68길 3 (석관동,(지상1층))2782가미푸드2011-02-16 14:23:05I2018-08-31 23:59:59.0집단급식소 식품판매업205727.456597456203.655658집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
830700003070000-122-2010-0000220100527<NA>3폐업2폐업20120821<NA><NA><NA>023295528917.28136817서울특별시 성북구 석관동 180-4 (지상1층)서울특별시 성북구 한천로 588 (석관동,(지상1층))2781태진유통2012-05-31 17:36:29I2018-08-31 23:59:59.0집단급식소 식품판매업205399.674028456618.965264집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
930700003070000-122-2010-0000320100811<NA>1영업/정상1영업<NA><NA><NA><NA>02 957 115527.0136818서울특별시 성북구 석관동 185-68 (지상1층)서울특별시 성북구 돌곶이로22길 64 (석관동,(지상1층))2784철원식품2010-10-18 14:15:52I2018-08-31 23:59:59.0집단급식소 식품판매업205362.917959456478.27754집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3330700003070000-122-2017-0000320170718<NA>1영업/정상1영업<NA><NA><NA><NA>02 943 467238.25136841서울특별시 성북구 정릉동 14-39서울특별시 성북구 정릉로34길 5, 1층 (정릉동)2816아우유통2019-01-09 16:41:09U2019-01-11 02:40:00.0집단급식소 식품판매업201492.086484455573.314425집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N4.0<NA><NA><NA>
3430700003070000-122-2019-0000120190218<NA>3폐업2폐업20220225<NA><NA><NA><NA>12.4136815서울특별시 성북구 석관동 320-51서울특별시 성북구 돌곶이로8가길 6, 1층 (석관동)2785드림푸드2022-02-25 10:22:34U2022-02-27 02:40:00.0집단급식소 식품판매업205379.741143456100.742322집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
3530700003070000-122-2019-0000220190625<NA>1영업/정상1영업<NA><NA><NA><NA>02 911 7100131.57136849서울특별시 성북구 정릉동 284-13 건양B/D서울특별시 성북구 보국문로 69, 건양B/D 5층 (정릉동)2709주식회사 영진엠앤에프2019-06-25 15:05:17I2019-06-27 02:21:22.0집단급식소 식품판매업200716.014664456467.370606집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
3630700003070000-122-2019-0000320190108<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3136872서울특별시 성북구 하월곡동 84-94서울특별시 성북구 오패산로3길 149, 1층 (하월곡동)2736주식회사 탑푸드2019-08-21 17:24:34I2019-08-23 02:22:20.0집단급식소 식품판매업202818.354757456359.755153집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
3730700003070000-122-2019-0000420191113<NA>3폐업2폐업20200917<NA><NA><NA><NA>49.59136801서울특별시 성북구 길음동 1086-2서울특별시 성북구 삼양로4길 7, 1층 (길음동)2732(주)왕부라더스2020-09-17 13:44:06U2020-09-19 02:40:00.0집단급식소 식품판매업202098.354806455960.330268집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N49.59<NA><NA><NA>
3830700003070000-122-2020-0000120200407<NA>1영업/정상1영업<NA><NA><NA><NA>02 966 432216.5136820서울특별시 성북구 석관동 349-1 장위뉴타워서울특별시 성북구 화랑로 248, 장위뉴타워 지하1층 (석관동)2787진로식자재마트2020-04-07 11:06:57I2020-04-09 00:23:32.0집단급식소 식품판매업204958.405518456443.387226집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
3930700003070000-122-2020-0000220200603<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.0136042서울특별시 성북구 삼선동2가 109서울특별시 성북구 삼선교로16길 16-4, 1층 (삼선동2가)2864케이푸드서비스2020-06-03 14:34:24I2020-06-05 00:23:19.0집단급식소 식품판매업200842.823037453922.734122집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
4030700003070000-122-2020-000032020-10-13<NA>3폐업2폐업2023-07-27<NA><NA><NA><NA>35.0136-820서울특별시 성북구 석관동 340-136 경본빌딩서울특별시 성북구 화랑로32길 44, 경본빌딩 1층 101호 (석관동)2789미소식품2023-07-27 09:17:28U2022-12-06 22:09:00.0집단급식소 식품판매업204966.507727456239.148895<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4130700003070000-122-2021-0000120210708<NA>1영업/정상1영업<NA><NA><NA><NA><NA>76.44136809서울특별시 성북구 길음동 1116-4서울특별시 성북구 숭인로2길 38, 1층 (길음동)2726성북강북키즈2021-07-08 11:26:53I2021-07-10 00:22:52.0집단급식소 식품판매업201988.153766456396.211126집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
4230700003070000-122-2022-0000120221130<NA>1영업/정상1영업<NA><NA><NA><NA>02 941212244.0136858서울특별시 성북구 종암동 3-120서울특별시 성북구 월곡로4길 3, 1층 (종암동)2795세향푸드2022-11-30 10:29:02I2021-11-02 00:02:00.0집단급식소 식품판매업203392.958658454936.945211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>