Overview

Dataset statistics

Number of variables44
Number of observations48
Missing cells504
Missing cells (%)23.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.8 KiB
Average record size in memory380.8 B

Variable types

Categorical20
Text6
DateTime3
Unsupported9
Numeric5
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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-18039/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (58.6%)Imbalance
여성종사자수 is highly imbalanced (58.6%)Imbalance
총인원 is highly imbalanced (58.6%)Imbalance
보증액 is highly imbalanced (58.6%)Imbalance
월세액 is highly imbalanced (58.6%)Imbalance
인허가취소일자 has 48 (100.0%) missing valuesMissing
폐업일자 has 17 (35.4%) missing valuesMissing
휴업시작일자 has 48 (100.0%) missing valuesMissing
휴업종료일자 has 48 (100.0%) missing valuesMissing
재개업일자 has 48 (100.0%) missing valuesMissing
전화번호 has 12 (25.0%) missing valuesMissing
소재지면적 has 5 (10.4%) missing valuesMissing
도로명주소 has 7 (14.6%) missing valuesMissing
도로명우편번호 has 7 (14.6%) missing valuesMissing
좌표정보(X) has 1 (2.1%) missing valuesMissing
좌표정보(Y) has 1 (2.1%) missing valuesMissing
영업장주변구분명 has 48 (100.0%) missing valuesMissing
등급구분명 has 48 (100.0%) missing valuesMissing
다중이용업소여부 has 11 (22.9%) missing valuesMissing
시설총규모 has 11 (22.9%) missing valuesMissing
전통업소지정번호 has 48 (100.0%) missing valuesMissing
전통업소주된음식 has 48 (100.0%) missing valuesMissing
홈페이지 has 48 (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
시설총규모 has 32 (66.7%) zerosZeros

Reproduction

Analysis started2024-05-11 08:10:23.072512
Analysis finished2024-05-11 08:10:23.566142
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
3120000
48 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 48
100.0%

Length

2024-05-11T17:10:23.631528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:23.721238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 48
100.0%

관리번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T17:10:23.891172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1056
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

Unique48 ?
Unique (%)100.0%

Sample

1st row3120000-122-2008-00001
2nd row3120000-122-2008-00002
3rd row3120000-122-2008-00003
4th row3120000-122-2008-00004
5th row3120000-122-2008-00005
ValueCountFrequency (%)
3120000-122-2008-00001 1
 
2.1%
3120000-122-2008-00002 1
 
2.1%
3120000-122-2018-00006 1
 
2.1%
3120000-122-2014-00001 1
 
2.1%
3120000-122-2014-00002 1
 
2.1%
3120000-122-2015-00001 1
 
2.1%
3120000-122-2015-00002 1
 
2.1%
3120000-122-2018-00001 1
 
2.1%
3120000-122-2018-00002 1
 
2.1%
3120000-122-2018-00003 1
 
2.1%
Other values (38) 38
79.2%
2024-05-11T17:10:24.225871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 446
42.2%
2 217
20.5%
1 148
 
14.0%
- 144
 
13.6%
3 59
 
5.6%
8 19
 
1.8%
4 10
 
0.9%
5 5
 
0.5%
9 4
 
0.4%
6 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 912
86.4%
Dash Punctuation 144
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 446
48.9%
2 217
23.8%
1 148
 
16.2%
3 59
 
6.5%
8 19
 
2.1%
4 10
 
1.1%
5 5
 
0.5%
9 4
 
0.4%
6 3
 
0.3%
7 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1056
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 446
42.2%
2 217
20.5%
1 148
 
14.0%
- 144
 
13.6%
3 59
 
5.6%
8 19
 
1.8%
4 10
 
0.9%
5 5
 
0.5%
9 4
 
0.4%
6 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1056
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 446
42.2%
2 217
20.5%
1 148
 
14.0%
- 144
 
13.6%
3 59
 
5.6%
8 19
 
1.8%
4 10
 
0.9%
5 5
 
0.5%
9 4
 
0.4%
6 3
 
0.3%

인허가일자
Date

Distinct41
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2008-03-18 00:00:00
Maximum2024-03-21 00:00:00
2024-05-11T17:10:24.375042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:10:24.526594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
3
31 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
64.6%
1 17
35.4%

Length

2024-05-11T17:10:24.874839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:24.962434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
64.6%
1 17
35.4%

영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
폐업
31 
영업/정상
17 

Length

Max length5
Median length2
Mean length3.0625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
64.6%
영업/정상 17
35.4%

Length

2024-05-11T17:10:25.064206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:25.162500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
64.6%
영업/정상 17
35.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
2
31 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 31
64.6%
1 17
35.4%

Length

2024-05-11T17:10:25.264359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:25.398006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 31
64.6%
1 17
35.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
폐업
31 
영업
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
64.6%
영업 17
35.4%

Length

2024-05-11T17:10:25.496117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:25.591386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
64.6%
영업 17
35.4%

폐업일자
Date

MISSING 

Distinct31
Distinct (%)100.0%
Missing17
Missing (%)35.4%
Memory size516.0 B
Minimum2010-08-18 00:00:00
Maximum2023-09-13 00:00:00
2024-05-11T17:10:25.696887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:10:25.827259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

전화번호
Text

MISSING 

Distinct35
Distinct (%)97.2%
Missing12
Missing (%)25.0%
Memory size516.0 B
2024-05-11T17:10:26.021544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.416667
Min length10

Characters and Unicode

Total characters375
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)94.4%

Sample

1st row02 3042840
2nd row02 3734473
3rd row02 3726144
4th row02 336 1630
5th row02 304 8841
ValueCountFrequency (%)
02 23
35.4%
3068333 2
 
3.1%
3022626 1
 
1.5%
43845901 1
 
1.5%
02302 1
 
1.5%
6960 1
 
1.5%
0231440993 1
 
1.5%
3042840 1
 
1.5%
0269535455 1
 
1.5%
4544152 1
 
1.5%
Other values (32) 32
49.2%
2024-05-11T17:10:26.354486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 65
17.3%
2 58
15.5%
3 57
15.2%
36
9.6%
4 36
9.6%
6 26
 
6.9%
1 26
 
6.9%
7 20
 
5.3%
5 19
 
5.1%
8 18
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 339
90.4%
Space Separator 36
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
19.2%
2 58
17.1%
3 57
16.8%
4 36
10.6%
6 26
 
7.7%
1 26
 
7.7%
7 20
 
5.9%
5 19
 
5.6%
8 18
 
5.3%
9 14
 
4.1%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 375
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 65
17.3%
2 58
15.5%
3 57
15.2%
36
9.6%
4 36
9.6%
6 26
 
6.9%
1 26
 
6.9%
7 20
 
5.3%
5 19
 
5.1%
8 18
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 65
17.3%
2 58
15.5%
3 57
15.2%
36
9.6%
4 36
9.6%
6 26
 
6.9%
1 26
 
6.9%
7 20
 
5.3%
5 19
 
5.1%
8 18
 
4.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)93.0%
Missing5
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean44.883023
Minimum3.5
Maximum218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T17:10:26.495975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.16
Q120
median38.29
Q356.275
95-th percentile113.25
Maximum218
Range214.5
Interquartile range (IQR)36.275

Descriptive statistics

Standard deviation38.989954
Coefficient of variation (CV)0.8687016
Kurtosis8.3794539
Mean44.883023
Median Absolute Deviation (MAD)18.29
Skewness2.3543155
Sum1929.97
Variance1520.2165
MonotonicityNot monotonic
2024-05-11T17:10:26.620358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
45.9 2
 
4.2%
76.49 2
 
4.2%
20.0 2
 
4.2%
6.8 1
 
2.1%
30.0 1
 
2.1%
9.9 1
 
2.1%
30.24 1
 
2.1%
33.0 1
 
2.1%
48.07 1
 
2.1%
24.38 1
 
2.1%
Other values (30) 30
62.5%
(Missing) 5
 
10.4%
ValueCountFrequency (%)
3.5 1
2.1%
4.95 1
2.1%
5.0 1
2.1%
6.6 1
2.1%
6.8 1
2.1%
9.9 1
2.1%
13.68 1
2.1%
14.93 1
2.1%
16.2 1
2.1%
18.39 1
2.1%
ValueCountFrequency (%)
218.0 1
2.1%
116.63 1
2.1%
116.5 1
2.1%
84.0 1
2.1%
79.0 1
2.1%
76.49 2
4.2%
73.29 1
2.1%
66.1 1
2.1%
66.0 1
2.1%
56.55 1
2.1%

소재지우편번호
Text

Distinct31
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T17:10:26.802296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1875
Min length6

Characters and Unicode

Total characters297
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

Unique21 ?
Unique (%)43.8%

Sample

1st row120815
2nd row120848
3rd row120810
4th row120859
5th row120848
ValueCountFrequency (%)
120812 5
 
10.4%
120814 4
 
8.3%
120827 3
 
6.2%
120841 3
 
6.2%
120-841 2
 
4.2%
120848 2
 
4.2%
120705 2
 
4.2%
120824 2
 
4.2%
120805 2
 
4.2%
120-020 2
 
4.2%
Other values (21) 21
43.8%
2024-05-11T17:10:27.099999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 73
24.6%
2 64
21.5%
0 63
21.2%
8 44
14.8%
4 14
 
4.7%
5 11
 
3.7%
- 9
 
3.0%
7 6
 
2.0%
6 6
 
2.0%
3 5
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
97.0%
Dash Punctuation 9
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 73
25.3%
2 64
22.2%
0 63
21.9%
8 44
15.3%
4 14
 
4.9%
5 11
 
3.8%
7 6
 
2.1%
6 6
 
2.1%
3 5
 
1.7%
9 2
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 73
24.6%
2 64
21.5%
0 63
21.2%
8 44
14.8%
4 14
 
4.7%
5 11
 
3.7%
- 9
 
3.0%
7 6
 
2.0%
6 6
 
2.0%
3 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 73
24.6%
2 64
21.5%
0 63
21.2%
8 44
14.8%
4 14
 
4.7%
5 11
 
3.7%
- 9
 
3.0%
7 6
 
2.0%
6 6
 
2.0%
3 5
 
1.7%

지번주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T17:10:27.380091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length26.916667
Min length20

Characters and Unicode

Total characters1292
Distinct characters91
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

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 서대문구 북가좌동 338-16 (지하1층)
2nd row서울특별시 서대문구 홍은동 417 (지상1층)
3rd row서울특별시 서대문구 북가좌동 74-218 (지층1호)
4th row서울특별시 서대문구 홍제동 330-282 1층
5th row서울특별시 서대문구 홍은동 417 (지1층)
ValueCountFrequency (%)
서울특별시 48
19.8%
서대문구 48
19.8%
북가좌동 17
 
7.0%
연희동 9
 
3.7%
홍은동 8
 
3.3%
1층 7
 
2.9%
지상1층 6
 
2.5%
홍제동 4
 
1.6%
미근동 4
 
1.6%
남가좌동 3
 
1.2%
Other values (78) 89
36.6%
2024-05-11T17:10:27.809871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
17.8%
서 97
 
7.5%
1 64
 
5.0%
대 51
 
3.9%
구 49
 
3.8%
문 49
 
3.8%
동 49
 
3.8%
시 48
 
3.7%
별 48
 
3.7%
울 48
 
3.7%
Other values (81) 559
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 737
57.0%
Decimal Number 242
 
18.7%
Space Separator 230
 
17.8%
Dash Punctuation 40
 
3.1%
Open Punctuation 18
 
1.4%
Close Punctuation 17
 
1.3%
Uppercase Letter 7
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 97
13.2%
대 51
 
6.9%
구 49
 
6.6%
문 49
 
6.6%
동 49
 
6.6%
시 48
 
6.5%
별 48
 
6.5%
울 48
 
6.5%
특 48
 
6.5%
층 30
 
4.1%
Other values (59) 220
29.9%
Decimal Number
ValueCountFrequency (%)
1 64
26.4%
2 32
13.2%
3 31
12.8%
7 24
 
9.9%
4 22
 
9.1%
8 20
 
8.3%
9 18
 
7.4%
6 12
 
5.0%
5 11
 
4.5%
0 8
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
14.3%
N 1
14.3%
H 1
14.3%
K 1
14.3%
T 1
14.3%
G 1
14.3%
B 1
14.3%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 737
57.0%
Common 548
42.4%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 97
13.2%
대 51
 
6.9%
구 49
 
6.6%
문 49
 
6.6%
동 49
 
6.6%
시 48
 
6.5%
별 48
 
6.5%
울 48
 
6.5%
특 48
 
6.5%
층 30
 
4.1%
Other values (59) 220
29.9%
Common
ValueCountFrequency (%)
230
42.0%
1 64
 
11.7%
- 40
 
7.3%
2 32
 
5.8%
3 31
 
5.7%
7 24
 
4.4%
4 22
 
4.0%
8 20
 
3.6%
( 18
 
3.3%
9 18
 
3.3%
Other values (5) 49
 
8.9%
Latin
ValueCountFrequency (%)
A 1
14.3%
N 1
14.3%
H 1
14.3%
K 1
14.3%
T 1
14.3%
G 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 737
57.0%
ASCII 555
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
41.4%
1 64
 
11.5%
- 40
 
7.2%
2 32
 
5.8%
3 31
 
5.6%
7 24
 
4.3%
4 22
 
4.0%
8 20
 
3.6%
( 18
 
3.2%
9 18
 
3.2%
Other values (12) 56
 
10.1%
Hangul
ValueCountFrequency (%)
서 97
13.2%
대 51
 
6.9%
구 49
 
6.6%
문 49
 
6.6%
동 49
 
6.6%
시 48
 
6.5%
별 48
 
6.5%
울 48
 
6.5%
특 48
 
6.5%
층 30
 
4.1%
Other values (59) 220
29.9%

도로명주소
Text

MISSING 

Distinct39
Distinct (%)95.1%
Missing7
Missing (%)14.6%
Memory size516.0 B
2024-05-11T17:10:28.077555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length32.512195
Min length26

Characters and Unicode

Total characters1333
Distinct characters107
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

Unique37 ?
Unique (%)90.2%

Sample

1st row서울특별시 서대문구 증가로32안길 35 (북가좌동,(지하1층))
2nd row서울특별시 서대문구 증가로6길 86 (홍은동,(지상1층))
3rd row서울특별시 서대문구 증가로 197-22 (북가좌동,(지층1호))
4th row서울특별시 서대문구 통일로39가길 40 (홍제동, 1층)
5th row서울특별시 서대문구 증가로6길 86 (홍은동,(지1층))
ValueCountFrequency (%)
서울특별시 41
 
16.3%
서대문구 41
 
16.3%
1층 13
 
5.2%
북가좌동 10
 
4.0%
연희동 8
 
3.2%
홍은동 6
 
2.4%
홍제동 4
 
1.6%
증가로 4
 
1.6%
3층 4
 
1.6%
2층 4
 
1.6%
Other values (91) 116
46.2%
2024-05-11T17:10:28.454908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
15.8%
서 83
 
6.2%
1 51
 
3.8%
) 49
 
3.7%
( 49
 
3.7%
대 43
 
3.2%
동 43
 
3.2%
문 42
 
3.2%
울 42
 
3.2%
시 41
 
3.1%
Other values (97) 680
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
59.5%
Space Separator 210
 
15.8%
Decimal Number 178
 
13.4%
Close Punctuation 49
 
3.7%
Open Punctuation 49
 
3.7%
Other Punctuation 42
 
3.2%
Uppercase Letter 7
 
0.5%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 83
 
10.5%
대 43
 
5.4%
동 43
 
5.4%
문 42
 
5.3%
울 42
 
5.3%
시 41
 
5.2%
구 41
 
5.2%
별 41
 
5.2%
특 41
 
5.2%
층 34
 
4.3%
Other values (74) 342
43.1%
Decimal Number
ValueCountFrequency (%)
1 51
28.7%
2 33
18.5%
8 17
 
9.6%
3 16
 
9.0%
7 15
 
8.4%
4 12
 
6.7%
6 11
 
6.2%
0 9
 
5.1%
5 9
 
5.1%
9 5
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
14.3%
N 1
14.3%
H 1
14.3%
B 1
14.3%
K 1
14.3%
T 1
14.3%
G 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 41
97.6%
& 1
 
2.4%
Space Separator
ValueCountFrequency (%)
210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 793
59.5%
Common 533
40.0%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 83
 
10.5%
대 43
 
5.4%
동 43
 
5.4%
문 42
 
5.3%
울 42
 
5.3%
시 41
 
5.2%
구 41
 
5.2%
별 41
 
5.2%
특 41
 
5.2%
층 34
 
4.3%
Other values (74) 342
43.1%
Common
ValueCountFrequency (%)
210
39.4%
1 51
 
9.6%
) 49
 
9.2%
( 49
 
9.2%
, 41
 
7.7%
2 33
 
6.2%
8 17
 
3.2%
3 16
 
3.0%
7 15
 
2.8%
4 12
 
2.3%
Other values (6) 40
 
7.5%
Latin
ValueCountFrequency (%)
A 1
14.3%
N 1
14.3%
H 1
14.3%
B 1
14.3%
K 1
14.3%
T 1
14.3%
G 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 793
59.5%
ASCII 540
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
38.9%
1 51
 
9.4%
) 49
 
9.1%
( 49
 
9.1%
, 41
 
7.6%
2 33
 
6.1%
8 17
 
3.1%
3 16
 
3.0%
7 15
 
2.8%
4 12
 
2.2%
Other values (13) 47
 
8.7%
Hangul
ValueCountFrequency (%)
서 83
 
10.5%
대 43
 
5.4%
동 43
 
5.4%
문 42
 
5.3%
울 42
 
5.3%
시 41
 
5.2%
구 41
 
5.2%
별 41
 
5.2%
특 41
 
5.2%
층 34
 
4.3%
Other values (74) 342
43.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)80.5%
Missing7
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean3676.7561
Minimum3600
Maximum3750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T17:10:28.579533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3600
5-th percentile3605
Q13663
median3681
Q33700
95-th percentile3739
Maximum3750
Range150
Interquartile range (IQR)37

Descriptive statistics

Standard deviation39.475803
Coefficient of variation (CV)0.010736585
Kurtosis-0.38082648
Mean3676.7561
Median Absolute Deviation (MAD)19
Skewness-0.42437439
Sum150747
Variance1558.339
MonotonicityNot monotonic
2024-05-11T17:10:28.701966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3712 2
 
4.2%
3663 2
 
4.2%
3646 2
 
4.2%
3669 2
 
4.2%
3605 2
 
4.2%
3695 2
 
4.2%
3698 2
 
4.2%
3667 2
 
4.2%
3722 1
 
2.1%
3714 1
 
2.1%
Other values (23) 23
47.9%
(Missing) 7
 
14.6%
ValueCountFrequency (%)
3600 1
2.1%
3605 2
4.2%
3606 1
2.1%
3607 1
2.1%
3611 1
2.1%
3636 1
2.1%
3642 1
2.1%
3646 2
4.2%
3663 2
4.2%
3667 2
4.2%
ValueCountFrequency (%)
3750 1
2.1%
3740 1
2.1%
3739 1
2.1%
3725 1
2.1%
3722 1
2.1%
3714 1
2.1%
3713 1
2.1%
3712 2
4.2%
3701 1
2.1%
3700 1
2.1%

사업장명
Text

Distinct45
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T17:10:28.942037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length6.875
Min length2

Characters and Unicode

Total characters330
Distinct characters130
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)87.5%

Sample

1st row(주)제풀
2nd row대광에프디(주)
3rd row해맑음식품
4th row호현메디칼
5th row마포식자재
ValueCountFrequency (%)
우림농산 2
 
3.4%
해원 2
 
3.4%
우진 2
 
3.4%
주식회사 2
 
3.4%
삼마상사 1
 
1.7%
한결농산 1
 
1.7%
주)제풀 1
 
1.7%
서울tms 1
 
1.7%
연세푸드랜드 1
 
1.7%
성임종합유통 1
 
1.7%
Other values (45) 45
76.3%
2024-05-11T17:10:29.313674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 12
 
3.6%
11
 
3.3%
) 11
 
3.3%
( 11
 
3.3%
회 10
 
3.0%
사 9
 
2.7%
우 8
 
2.4%
농 8
 
2.4%
산 8
 
2.4%
드 8
 
2.4%
Other values (120) 234
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
86.4%
Space Separator 11
 
3.3%
Close Punctuation 11
 
3.3%
Open Punctuation 11
 
3.3%
Uppercase Letter 11
 
3.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
4.2%
회 10
 
3.5%
사 9
 
3.2%
우 8
 
2.8%
농 8
 
2.8%
산 8
 
2.8%
드 8
 
2.8%
유 8
 
2.8%
식 7
 
2.5%
푸 6
 
2.1%
Other values (108) 201
70.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
F 2
18.2%
O 2
18.2%
M 1
9.1%
H 1
9.1%
C 1
9.1%
D 1
9.1%
T 1
9.1%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
86.4%
Common 34
 
10.3%
Latin 11
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
4.2%
회 10
 
3.5%
사 9
 
3.2%
우 8
 
2.8%
농 8
 
2.8%
산 8
 
2.8%
드 8
 
2.8%
유 8
 
2.8%
식 7
 
2.5%
푸 6
 
2.1%
Other values (108) 201
70.5%
Latin
ValueCountFrequency (%)
S 2
18.2%
F 2
18.2%
O 2
18.2%
M 1
9.1%
H 1
9.1%
C 1
9.1%
D 1
9.1%
T 1
9.1%
Common
ValueCountFrequency (%)
11
32.4%
) 11
32.4%
( 11
32.4%
& 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
86.4%
ASCII 45
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 12
 
4.2%
회 10
 
3.5%
사 9
 
3.2%
우 8
 
2.8%
농 8
 
2.8%
산 8
 
2.8%
드 8
 
2.8%
유 8
 
2.8%
식 7
 
2.5%
푸 6
 
2.1%
Other values (108) 201
70.5%
ASCII
ValueCountFrequency (%)
11
24.4%
) 11
24.4%
( 11
24.4%
S 2
 
4.4%
F 2
 
4.4%
O 2
 
4.4%
M 1
 
2.2%
H 1
 
2.2%
& 1
 
2.2%
C 1
 
2.2%
Other values (2) 2
 
4.4%

최종수정일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2008-09-05 13:35:23
Maximum2024-03-21 17:06:55
2024-05-11T17:10:29.446483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:10:29.584356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
I
25 
U
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 25
52.1%
U 23
47.9%

Length

2024-05-11T17:10:29.735956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:29.822558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
52.1%
u 23
47.9%

데이터갱신일자
Categorical

Distinct23
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2018-08-31 23:59:59.0
19 
2021-03-21 02:40:00.0
8 
2019-12-12 02:40:00.0
 
1
2019-01-31 02:40:00.0
 
1
2021-11-17 02:40:00.0
 
1
Other values (18)
18 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique21 ?
Unique (%)43.8%

Sample

1st row2021-03-21 02:40:00.0
2nd row2021-03-21 02:40:00.0
3rd row2019-03-14 02:40:00.0
4th row2021-03-21 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 19
39.6%
2021-03-21 02:40:00.0 8
16.7%
2019-12-12 02:40:00.0 1
 
2.1%
2019-01-31 02:40:00.0 1
 
2.1%
2021-11-17 02:40:00.0 1
 
2.1%
2023-11-30 23:09:00.0 1
 
2.1%
2021-07-22 02:40:00.0 1
 
2.1%
2022-12-05 00:04:00.0 1
 
2.1%
2021-10-30 23:03:00.0 1
 
2.1%
2019-05-12 02:40:00.0 1
 
2.1%
Other values (13) 13
27.1%

Length

2024-05-11T17:10:29.917670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 19
19.8%
23:59:59.0 19
19.8%
02:40:00.0 18
18.8%
2021-03-21 8
 
8.3%
2023-11-30 2
 
2.1%
22:03:00.0 2
 
2.1%
2023-12-01 2
 
2.1%
00:06:00.0 1
 
1.0%
00:05:00.0 1
 
1.0%
00:02:00.0 1
 
1.0%
Other values (23) 23
24.0%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
집단급식소 식품판매업
48 

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 48
100.0%

Length

2024-05-11T17:10:30.025887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:30.111437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 48
50.0%
식품판매업 48
50.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)87.2%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean193836.24
Minimum191586.92
Maximum197170.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T17:10:30.216475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191586.92
5-th percentile191908.64
Q1192444.76
median193630.16
Q3195146.23
95-th percentile197087.35
Maximum197170.64
Range5583.7238
Interquartile range (IQR)2701.466

Descriptive statistics

Standard deviation1623.2243
Coefficient of variation (CV)0.0083742046
Kurtosis-0.74875095
Mean193836.24
Median Absolute Deviation (MAD)1372.9164
Skewness0.50374908
Sum9110303.3
Variance2634857.2
MonotonicityNot monotonic
2024-05-11T17:10:30.345744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
192480.825508167 2
 
4.2%
192425.951708038 2
 
4.2%
193630.160223584 2
 
4.2%
197170.642282034 2
 
4.2%
193860.58211819 2
 
4.2%
191927.995886044 2
 
4.2%
193423.550017619 1
 
2.1%
195210.976152545 1
 
2.1%
194584.959249312 1
 
2.1%
191586.918506689 1
 
2.1%
Other values (31) 31
64.6%
ValueCountFrequency (%)
191586.918506689 1
2.1%
191725.089590592 1
2.1%
191900.345924872 1
2.1%
191927.995886044 2
4.2%
191978.274223135 1
2.1%
192060.549916769 1
2.1%
192148.494812569 1
2.1%
192204.144264653 1
2.1%
192257.243841324 1
2.1%
192425.951708038 2
4.2%
ValueCountFrequency (%)
197170.642282034 2
4.2%
197147.394631349 1
2.1%
196947.249719346 1
2.1%
196045.177766738 1
2.1%
195463.148511085 1
2.1%
195448.255796797 1
2.1%
195444.642667556 1
2.1%
195443.239398074 1
2.1%
195382.632649696 1
2.1%
195210.976152545 1
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)87.2%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean452888.76
Minimum450548.43
Maximum455666.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T17:10:30.486519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450548.43
5-th percentile451128.21
Q1451989.55
median452886.1
Q3453508.63
95-th percentile455194.11
Maximum455666.93
Range5118.4969
Interquartile range (IQR)1519.0816

Descriptive statistics

Standard deviation1225.8846
Coefficient of variation (CV)0.0027068117
Kurtosis-0.14540178
Mean452888.76
Median Absolute Deviation (MAD)655.17814
Skewness0.37144969
Sum21285772
Variance1502793
MonotonicityNot monotonic
2024-05-11T17:10:30.615266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
453359.893909092 2
 
4.2%
453541.277194428 2
 
4.2%
452964.733928661 2
 
4.2%
451119.163599146 2
 
4.2%
451975.128845845 2
 
4.2%
452886.099054113 2
 
4.2%
452263.136505739 1
 
2.1%
454712.523935496 1
 
2.1%
451381.585492051 1
 
2.1%
452539.740300161 1
 
2.1%
Other values (31) 31
64.6%
ValueCountFrequency (%)
450548.434758638 1
2.1%
451119.163599146 2
4.2%
451149.318052436 1
2.1%
451165.367152401 1
2.1%
451285.825753369 1
2.1%
451361.048952204 1
2.1%
451381.585492051 1
2.1%
451596.559001468 1
2.1%
451975.128845845 2
4.2%
451979.31007331 1
2.1%
ValueCountFrequency (%)
455666.931624483 1
2.1%
455237.408591621 1
2.1%
455201.994071747 1
2.1%
455175.722998455 1
2.1%
455167.490265982 1
2.1%
454712.523935496 1
2.1%
454149.536385846 1
2.1%
453738.597175924 1
2.1%
453720.74748154 1
2.1%
453575.150155302 1
2.1%

위생업태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
집단급식소 식품판매업
37 
<NA>
11 

Length

Max length11
Median length11
Mean length9.3958333
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 37
77.1%
<NA> 11
 
22.9%

Length

2024-05-11T17:10:30.750669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:30.848388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 37
43.5%
식품판매업 37
43.5%
na 11
 
12.9%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
44 
0
 
4

Length

Max length4
Median length4
Mean length3.75
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> 44
91.7%
0 4
 
8.3%

Length

2024-05-11T17:10:30.946754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:31.037577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
91.7%
0 4
 
8.3%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
44 
0
 
4

Length

Max length4
Median length4
Mean length3.75
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> 44
91.7%
0 4
 
8.3%

Length

2024-05-11T17:10:31.134586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:31.227344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
91.7%
0 4
 
8.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

급수시설구분명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
33 
상수도전용
15 

Length

Max length5
Median length4
Mean length4.3125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
68.8%
상수도전용 15
31.2%

Length

2024-05-11T17:10:31.326249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:31.412845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
68.8%
상수도전용 15
31.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
44 
0
 
4

Length

Max length4
Median length4
Mean length3.75
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> 44
91.7%
0 4
 
8.3%

Length

2024-05-11T17:10:31.514023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:31.604936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
91.7%
0 4
 
8.3%

본사종업원수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
26 
<NA>
22 

Length

Max length4
Median length1
Mean length2.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
54.2%
<NA> 22
45.8%

Length

2024-05-11T17:10:31.698839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:31.796784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
54.2%
na 22
45.8%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
22 
0
19 
1
5 
2
 
2

Length

Max length4
Median length1
Mean length2.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
45.8%
0 19
39.6%
1 5
 
10.4%
2 2
 
4.2%

Length

2024-05-11T17:10:31.901563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:32.015566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
45.8%
0 19
39.6%
1 5
 
10.4%
2 2
 
4.2%

공장판매직종업원수
Categorical

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
22 
0
20 
2
3 
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row4
2nd row2
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 22
45.8%
0 20
41.7%
2 3
 
6.2%
1 2
 
4.2%
4 1
 
2.1%

Length

2024-05-11T17:10:32.129465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:32.236097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
45.8%
0 20
41.7%
2 3
 
6.2%
1 2
 
4.2%
4 1
 
2.1%

공장생산직종업원수
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
23 
<NA>
22 
1
3 

Length

Max length4
Median length1
Mean length2.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
47.9%
<NA> 22
45.8%
1 3
 
6.2%

Length

2024-05-11T17:10:32.362924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:32.468078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
47.9%
na 22
45.8%
1 3
 
6.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
임대
21 
<NA>
21 
자가
6 

Length

Max length4
Median length2
Mean length2.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임대 21
43.8%
<NA> 21
43.8%
자가 6
 
12.5%

Length

2024-05-11T17:10:32.837986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:32.938149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대 21
43.8%
na 21
43.8%
자가 6
 
12.5%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
44 
0
 
4

Length

Max length4
Median length4
Mean length3.75
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> 44
91.7%
0 4
 
8.3%

Length

2024-05-11T17:10:33.039443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:33.129681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
91.7%
0 4
 
8.3%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
44 
0
 
4

Length

Max length4
Median length4
Mean length3.75
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> 44
91.7%
0 4
 
8.3%

Length

2024-05-11T17:10:33.233056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:10:33.327185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
91.7%
0 4
 
8.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.7%
Missing11
Missing (%)22.9%
Memory size228.0 B
False
37 
(Missing)
11 
ValueCountFrequency (%)
False 37
77.1%
(Missing) 11
 
22.9%
2024-05-11T17:10:33.413749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)16.2%
Missing11
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean5.587027
Minimum0
Maximum76.49
Zeros32
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T17:10:33.514400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile49.456
Maximum76.49
Range76.49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.135968
Coefficient of variation (CV)3.0670995
Kurtosis10.052063
Mean5.587027
Median Absolute Deviation (MAD)0
Skewness3.2539185
Sum206.72
Variance293.6414
MonotonicityNot monotonic
2024-05-11T17:10:33.631496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 32
66.7%
6.0 1
 
2.1%
56.0 1
 
2.1%
47.82 1
 
2.1%
76.49 1
 
2.1%
20.41 1
 
2.1%
(Missing) 11
 
22.9%
ValueCountFrequency (%)
0.0 32
66.7%
6.0 1
 
2.1%
20.41 1
 
2.1%
47.82 1
 
2.1%
56.0 1
 
2.1%
76.49 1
 
2.1%
ValueCountFrequency (%)
76.49 1
 
2.1%
56.0 1
 
2.1%
47.82 1
 
2.1%
20.41 1
 
2.1%
6.0 1
 
2.1%
0.0 32
66.7%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031200003120000-122-2008-0000120080318<NA>1영업/정상1영업<NA><NA><NA><NA>02 3042840218.0120815서울특별시 서대문구 북가좌동 338-16 (지하1층)서울특별시 서대문구 증가로32안길 35 (북가좌동,(지하1층))3676(주)제풀2021-03-19 14:28:38U2021-03-21 02:40:00.0집단급식소 식품판매업192257.243841453575.150155집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0241임대<NA><NA>N0.0<NA><NA><NA>
131200003120000-122-2008-0000220080324<NA>1영업/정상1영업<NA><NA><NA><NA>02 3734473116.63120848서울특별시 서대문구 홍은동 417 (지상1층)서울특별시 서대문구 증가로6길 86 (홍은동,(지상1층))3663대광에프디(주)2021-03-19 14:10:07U2021-03-21 02:40:00.0집단급식소 식품판매업193630.160224452964.733929집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0120임대<NA><NA>N0.0<NA><NA><NA>
231200003120000-122-2008-0000320080624<NA>3폐업2폐업20190312<NA><NA><NA>02 372614473.29120810서울특별시 서대문구 북가좌동 74-218 (지층1호)서울특별시 서대문구 증가로 197-22 (북가좌동,(지층1호))3685해맑음식품2019-03-12 14:21:50U2019-03-14 02:40:00.0집단급식소 식품판매업192485.078865452980.653436집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0110임대<NA><NA>N0.0<NA><NA><NA>
331200003120000-122-2008-0000420080827<NA>1영업/정상1영업<NA><NA><NA><NA>02 336 163048.0120859서울특별시 서대문구 홍제동 330-282 1층서울특별시 서대문구 통일로39가길 40 (홍제동, 1층)3636호현메디칼2021-03-19 14:30:18U2021-03-21 02:40:00.0집단급식소 식품판매업194842.930491454149.536386집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
431200003120000-122-2008-0000520080904<NA>3폐업2폐업20170425<NA><NA><NA>02 304 8841116.5120848서울특별시 서대문구 홍은동 417 (지1층)서울특별시 서대문구 증가로6길 86 (홍은동,(지1층))3663마포식자재2017-04-25 15:42:09I2018-08-31 23:59:59.0집단급식소 식품판매업193630.160224452964.733929집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
531200003120000-122-2008-0000620080905<NA>3폐업2폐업20110304<NA><NA><NA><NA><NA>120160서울특별시 서대문구 대신동 90-5 (3층)<NA><NA>(주)한국메디칼푸드2008-09-05 13:35:23I2018-08-31 23:59:59.0집단급식소 식품판매업195064.139729451361.048952집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631200003120000-122-2008-0000720080908<NA>3폐업2폐업20100818<NA><NA><NA>02 326 2698<NA>120828서울특별시 서대문구 연희동 218-9 (1층)<NA><NA>(주)상기종합식품2008-09-09 10:08:24I2018-08-31 23:59:59.0집단급식소 식품판매업<NA><NA>집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731200003120000-122-2008-0000820080909<NA>3폐업2폐업20111006<NA><NA><NA>02 21314466<NA>120705서울특별시 서대문구 미근동 267 임광빌딩9층<NA><NA>농협중앙회(축산경제)2008-09-10 10:27:00I2018-08-31 23:59:59.0집단급식소 식품판매업197170.642282451119.163599집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
831200003120000-122-2008-0000920080922<NA>1영업/정상1영업<NA><NA><NA><NA>02 379139345.0120841서울특별시 서대문구 홍은동 9-144서울특별시 서대문구 포방터길 56-1 (홍은동)3606삼성그린유통2021-03-19 14:13:45U2021-03-21 02:40:00.0집단급식소 식품판매업195463.148511455201.994072집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
931200003120000-122-2008-0001020080925<NA>3폐업2폐업20190129<NA><NA><NA><NA><NA>120818서울특별시 서대문구 북아현동 3-158 지상2층서울특별시 서대문구 북아현로14길 8 (북아현동,지상2층)3750동일씨앤에프2019-01-29 09:57:31U2019-01-31 02:40:00.0집단급식소 식품판매업196045.177767451149.318052집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3831200003120000-122-2020-0000120200102<NA>1영업/정상1영업<NA><NA><NA><NA>02 324836945.9120824서울특별시 서대문구 연희동 92-18 1층 일부서울특별시 서대문구 증가로 18, 연희빌딩 1층 (연희동)3698(주)연희푸드2021-03-19 14:21:45U2021-03-21 02:40:00.0집단급식소 식품판매업193860.582118451975.128846집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA>
3931200003120000-122-2021-0000120210308<NA>3폐업2폐업20220930<NA><NA><NA>02 336324138.4120827서울특별시 서대문구 연희동 703-1 1층서울특별시 서대문구 홍연길 8, 1층 (연희동)3695서울우유연희연남동고객센터2022-09-30 17:42:13U2021-10-31 00:02:00.0집단급식소 식품판매업193534.605559452493.687422<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4031200003120000-122-2021-0000220210308<NA>3폐업2폐업20220304<NA><NA><NA>0704062175321.46120812서울특별시 서대문구 북가좌동 283-17 1층 좌측 2호서울특별시 서대문구 증가로 212, 1층 (북가좌동)3670태성유통2022-03-04 15:53:43U2022-03-10 02:40:00.0집단급식소 식품판매업192463.5685453176.746333집단급식소 식품판매업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
4131200003120000-122-2021-000032021-06-02<NA>1영업/정상1영업<NA><NA><NA><NA>02 303449016.2120-841서울특별시 서대문구 홍은동 9-157서울특별시 서대문구 포방터길 52, 1층 (홍은동)3607자람푸드2023-04-07 10:02:01U2022-12-04 00:09:00.0집단급식소 식품판매업195443.239398455175.722998<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4231200003120000-122-2023-000012023-01-30<NA>3폐업2폐업2023-09-13<NA><NA><NA>02 322093779.0120-861서울특별시 서대문구 홍제동 361-197서울특별시 서대문구 홍제내길 20, 2층 (홍제동)3642주식회사 동우코퍼레이션2023-09-13 11:57:12U2022-12-08 23:05:00.0집단급식소 식품판매업194355.240639453475.988355<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4331200003120000-122-2023-000022023-02-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>120-020서울특별시 서대문구 미근동 257 NH농협생명빌딩서울특별시 서대문구 통일로 87, NH농협생명빌딩 7층 (미근동)3739(주)농협물류2023-02-21 16:55:29I2022-12-01 22:03:00.0집단급식소 식품판매업197147.394631451165.367152<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4431200003120000-122-2024-000012024-01-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6120-859서울특별시 서대문구 홍제동 158-3 홍신교회서울특별시 서대문구 모래내로 463, 홍신교회 3층 (홍제동)3646해원2024-01-03 13:36:58I2023-12-01 00:05:00.0집단급식소 식품판매업195154.508441453738.597176<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4531200003120000-122-2024-000022024-01-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.8120-812서울특별시 서대문구 북가좌동 294-17서울특별시 서대문구 증가로25길 33, 3층 213호 (북가좌동)3682연세우유 한울급식2024-01-04 11:50:09I2023-12-01 00:06:00.0집단급식소 식품판매업192204.144265453173.919538<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4631200003120000-122-2024-000032024-01-10<NA>1영업/정상1영업<NA><NA><NA><NA>02302 696030.0120-816서울특별시 서대문구 북가좌동 366-2서울특별시 서대문구 거북골로 219, 1층 (북가좌동)3713우유 서서울 특판2024-01-10 10:18:32I2023-11-30 23:02:00.0집단급식소 식품판매업191725.089591453021.011538<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4731200003120000-122-2024-000042024-03-21<NA>1영업/정상1영업<NA><NA><NA><NA>022256711284.0120-855서울특별시 서대문구 홍제동 157-73 장수목욕탕서울특별시 서대문구 모래내로 461, 3층 (홍제동)3646(주)케이지아인터내셔널2024-03-21 17:06:55I2023-12-02 22:03:00.0집단급식소 식품판매업195137.943673453720.747482<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>