Overview

Dataset statistics

Number of variables44
Number of observations68
Missing cells997
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory379.9 B

Variable types

Categorical17
Text7
DateTime3
Unsupported12
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18031/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
급수시설구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
보증액 is highly imbalanced (88.9%)Imbalance
월세액 is highly imbalanced (88.9%)Imbalance
인허가취소일자 has 68 (100.0%) missing valuesMissing
폐업일자 has 20 (29.4%) missing valuesMissing
휴업시작일자 has 68 (100.0%) missing valuesMissing
휴업종료일자 has 68 (100.0%) missing valuesMissing
재개업일자 has 68 (100.0%) missing valuesMissing
전화번호 has 18 (26.5%) missing valuesMissing
소재지면적 has 35 (51.5%) missing valuesMissing
도로명주소 has 14 (20.6%) missing valuesMissing
도로명우편번호 has 14 (20.6%) missing valuesMissing
남성종사자수 has 68 (100.0%) missing valuesMissing
여성종사자수 has 68 (100.0%) missing valuesMissing
영업장주변구분명 has 68 (100.0%) missing valuesMissing
등급구분명 has 68 (100.0%) missing valuesMissing
급수시설구분명 has 66 (97.1%) missing valuesMissing
총인원 has 68 (100.0%) missing valuesMissing
다중이용업소여부 has 14 (20.6%) missing valuesMissing
전통업소지정번호 has 68 (100.0%) missing valuesMissing
전통업소주된음식 has 68 (100.0%) missing valuesMissing
홈페이지 has 68 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
남성종사자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
여성종사자수 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
총인원 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 02:46:43.175702
Analysis finished2024-05-11 02:46:44.485833
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
3040000
68 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 68
100.0%

Length

2024-05-11T02:46:44.738623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:45.199467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 68
100.0%

관리번호
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-05-11T02:46:45.782765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1496
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

Unique68 ?
Unique (%)100.0%

Sample

1st row3040000-122-2008-00001
2nd row3040000-122-2008-00002
3rd row3040000-122-2008-00003
4th row3040000-122-2008-00004
5th row3040000-122-2008-00005
ValueCountFrequency (%)
3040000-122-2008-00001 1
 
1.5%
3040000-122-2014-00002 1
 
1.5%
3040000-122-2012-00006 1
 
1.5%
3040000-122-2013-00001 1
 
1.5%
3040000-122-2013-00002 1
 
1.5%
3040000-122-2013-00003 1
 
1.5%
3040000-122-2014-00001 1
 
1.5%
3040000-122-2008-00002 1
 
1.5%
3040000-122-2015-00001 1
 
1.5%
3040000-122-2008-00009 1
 
1.5%
Other values (58) 58
85.3%
2024-05-11T02:46:47.107779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 702
46.9%
2 236
 
15.8%
- 204
 
13.6%
1 142
 
9.5%
3 86
 
5.7%
4 80
 
5.3%
8 17
 
1.1%
9 12
 
0.8%
6 8
 
0.5%
5 5
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1292
86.4%
Dash Punctuation 204
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 702
54.3%
2 236
 
18.3%
1 142
 
11.0%
3 86
 
6.7%
4 80
 
6.2%
8 17
 
1.3%
9 12
 
0.9%
6 8
 
0.6%
5 5
 
0.4%
7 4
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1496
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 702
46.9%
2 236
 
15.8%
- 204
 
13.6%
1 142
 
9.5%
3 86
 
5.7%
4 80
 
5.3%
8 17
 
1.1%
9 12
 
0.8%
6 8
 
0.5%
5 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 702
46.9%
2 236
 
15.8%
- 204
 
13.6%
1 142
 
9.5%
3 86
 
5.7%
4 80
 
5.3%
8 17
 
1.1%
9 12
 
0.8%
6 8
 
0.5%
5 5
 
0.3%

인허가일자
Date

Distinct64
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2008-03-17 00:00:00
Maximum2024-03-06 00:00:00
2024-05-11T02:46:47.989285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:46:48.815400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
3
48 
1
20 

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 48
70.6%
1 20
29.4%

Length

2024-05-11T02:46:49.418229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:49.982852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
70.6%
1 20
29.4%

영업상태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
폐업
48 
영업/정상
20 

Length

Max length5
Median length2
Mean length2.8823529
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
70.6%
영업/정상 20
29.4%

Length

2024-05-11T02:46:50.362953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:50.819670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
70.6%
영업/정상 20
29.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
2
48 
1
20 

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 48
70.6%
1 20
29.4%

Length

2024-05-11T02:46:51.349291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:51.726221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 48
70.6%
1 20
29.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
폐업
48 
영업
20 

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 48
70.6%
영업 20
29.4%

Length

2024-05-11T02:46:52.160593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:46:52.573799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
70.6%
영업 20
29.4%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)93.8%
Missing20
Missing (%)29.4%
Memory size676.0 B
Minimum2008-12-01 00:00:00
Maximum2023-06-20 00:00:00
2024-05-11T02:46:53.037383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:46:53.516237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing18
Missing (%)26.5%
Memory size676.0 B
2024-05-11T02:46:54.209740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.76
Min length7

Characters and Unicode

Total characters538
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

Unique50 ?
Unique (%)100.0%

Sample

1st row02 4684936
2nd row02 4579757
3rd row4643085
4th row4469977
5th row02 5140938
ValueCountFrequency (%)
02 39
37.1%
456 2
 
1.9%
458 2
 
1.9%
465 2
 
1.9%
4478414 1
 
1.0%
4568801 1
 
1.0%
7266400 1
 
1.0%
031 1
 
1.0%
4478782 1
 
1.0%
22014150 1
 
1.0%
Other values (54) 54
51.4%
2024-05-11T02:46:55.350592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
15.4%
4 79
14.7%
2 75
13.9%
0 72
13.4%
5 46
8.6%
7 36
6.7%
6 33
 
6.1%
8 32
 
5.9%
9 30
 
5.6%
3 27
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 455
84.6%
Space Separator 83
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 79
17.4%
2 75
16.5%
0 72
15.8%
5 46
10.1%
7 36
7.9%
6 33
7.3%
8 32
7.0%
9 30
 
6.6%
3 27
 
5.9%
1 25
 
5.5%
Space Separator
ValueCountFrequency (%)
83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 538
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
83
15.4%
4 79
14.7%
2 75
13.9%
0 72
13.4%
5 46
8.6%
7 36
6.7%
6 33
 
6.1%
8 32
 
5.9%
9 30
 
5.6%
3 27
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
15.4%
4 79
14.7%
2 75
13.9%
0 72
13.4%
5 46
8.6%
7 36
6.7%
6 33
 
6.1%
8 32
 
5.9%
9 30
 
5.6%
3 27
 
5.0%

소재지면적
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)90.9%
Missing35
Missing (%)51.5%
Infinite0
Infinite (%)0.0%
Mean80.079091
Minimum3.3
Maximum406.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-05-11T02:46:55.942860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile11.96
Q125
median49.5
Q382
95-th percentile232.44
Maximum406.24
Range402.94
Interquartile range (IQR)57

Descriptive statistics

Standard deviation85.404382
Coefficient of variation (CV)1.0665004
Kurtosis5.7760468
Mean80.079091
Median Absolute Deviation (MAD)25.5
Skewness2.203107
Sum2642.61
Variance7293.9084
MonotonicityNot monotonic
2024-05-11T02:46:56.813937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
67.56 3
 
4.4%
33.0 2
 
2.9%
14.0 1
 
1.5%
165.0 1
 
1.5%
35.0 1
 
1.5%
72.25 1
 
1.5%
31.5 1
 
1.5%
24.75 1
 
1.5%
24.0 1
 
1.5%
25.0 1
 
1.5%
Other values (20) 20
29.4%
(Missing) 35
51.5%
ValueCountFrequency (%)
3.3 1
1.5%
8.9 1
1.5%
14.0 1
1.5%
16.88 1
1.5%
19.2 1
1.5%
20.25 1
1.5%
24.0 1
1.5%
24.75 1
1.5%
25.0 1
1.5%
31.5 1
1.5%
ValueCountFrequency (%)
406.24 1
1.5%
240.0 1
1.5%
227.4 1
1.5%
167.2 1
1.5%
165.0 1
1.5%
162.91 1
1.5%
155.0 1
1.5%
101.0 1
1.5%
82.0 1
1.5%
75.75 1
1.5%

소재지우편번호
Text

Distinct43
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-05-11T02:46:57.607083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1176471
Min length6

Characters and Unicode

Total characters416
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

Unique25 ?
Unique (%)36.8%

Sample

1st row143846
2nd row143883
3rd row143901
4th row143891
5th row143802
ValueCountFrequency (%)
143891 5
 
7.4%
143873 4
 
5.9%
143903 3
 
4.4%
143888 3
 
4.4%
143831 2
 
2.9%
143910 2
 
2.9%
143887 2
 
2.9%
143867 2
 
2.9%
143819 2
 
2.9%
143-885 2
 
2.9%
Other values (33) 41
60.3%
2024-05-11T02:46:58.980510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 89
21.4%
3 82
19.7%
4 75
18.0%
8 69
16.6%
9 25
 
6.0%
0 17
 
4.1%
7 16
 
3.8%
5 14
 
3.4%
2 11
 
2.6%
6 10
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
98.1%
Dash Punctuation 8
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 89
21.8%
3 82
20.1%
4 75
18.4%
8 69
16.9%
9 25
 
6.1%
0 17
 
4.2%
7 16
 
3.9%
5 14
 
3.4%
2 11
 
2.7%
6 10
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 89
21.4%
3 82
19.7%
4 75
18.0%
8 69
16.6%
9 25
 
6.0%
0 17
 
4.1%
7 16
 
3.8%
5 14
 
3.4%
2 11
 
2.6%
6 10
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 89
21.4%
3 82
19.7%
4 75
18.0%
8 69
16.6%
9 25
 
6.0%
0 17
 
4.1%
7 16
 
3.8%
5 14
 
3.4%
2 11
 
2.6%
6 10
 
2.4%

지번주소
Text

Distinct66
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-05-11T02:46:59.727080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length23.279412
Min length18

Characters and Unicode

Total characters1583
Distinct characters72
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

Unique64 ?
Unique (%)94.1%

Sample

1st row서울특별시 광진구 자양동 192-24
2nd row서울특별시 광진구 중곡동 18-72 2층
3rd row서울특별시 광진구 중곡동 185-5
4th row서울특별시 광진구 중곡동 138-8 (101호)
5th row서울특별시 광진구 광장동 148-11 대호빌딩 210호
ValueCountFrequency (%)
서울특별시 68
21.3%
광진구 68
21.3%
중곡동 29
 
9.1%
자양동 19
 
6.0%
구의동 12
 
3.8%
1층 12
 
3.8%
지하1층 5
 
1.6%
40-12 3
 
0.9%
화양동 3
 
0.9%
광장동 2
 
0.6%
Other values (90) 98
30.7%
2024-05-11T02:47:00.785711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302
19.1%
구 81
 
5.1%
1 78
 
4.9%
광 72
 
4.5%
동 70
 
4.4%
서 68
 
4.3%
특 68
 
4.3%
별 68
 
4.3%
시 68
 
4.3%
진 68
 
4.3%
Other values (62) 640
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
53.6%
Decimal Number 351
22.2%
Space Separator 302
 
19.1%
Dash Punctuation 66
 
4.2%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 81
9.6%
광 72
 
8.5%
동 70
 
8.3%
서 68
 
8.0%
특 68
 
8.0%
별 68
 
8.0%
시 68
 
8.0%
진 68
 
8.0%
울 68
 
8.0%
곡 29
 
3.4%
Other values (44) 188
22.2%
Decimal Number
ValueCountFrequency (%)
1 78
22.2%
2 58
16.5%
6 33
9.4%
4 31
 
8.8%
3 31
 
8.8%
5 29
 
8.3%
0 28
 
8.0%
7 24
 
6.8%
8 23
 
6.6%
9 16
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
T 1
25.0%
I 1
25.0%
Space Separator
ValueCountFrequency (%)
302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
53.6%
Common 731
46.2%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 81
9.6%
광 72
 
8.5%
동 70
 
8.3%
서 68
 
8.0%
특 68
 
8.0%
별 68
 
8.0%
시 68
 
8.0%
진 68
 
8.0%
울 68
 
8.0%
곡 29
 
3.4%
Other values (44) 188
22.2%
Common
ValueCountFrequency (%)
302
41.3%
1 78
 
10.7%
- 66
 
9.0%
2 58
 
7.9%
6 33
 
4.5%
4 31
 
4.2%
3 31
 
4.2%
5 29
 
4.0%
0 28
 
3.8%
7 24
 
3.3%
Other values (5) 51
 
7.0%
Latin
ValueCountFrequency (%)
B 2
50.0%
T 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
53.6%
ASCII 735
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
302
41.1%
1 78
 
10.6%
- 66
 
9.0%
2 58
 
7.9%
6 33
 
4.5%
4 31
 
4.2%
3 31
 
4.2%
5 29
 
3.9%
0 28
 
3.8%
7 24
 
3.3%
Other values (8) 55
 
7.5%
Hangul
ValueCountFrequency (%)
구 81
9.6%
광 72
 
8.5%
동 70
 
8.3%
서 68
 
8.0%
특 68
 
8.0%
별 68
 
8.0%
시 68
 
8.0%
진 68
 
8.0%
울 68
 
8.0%
곡 29
 
3.4%
Other values (44) 188
22.2%

도로명주소
Text

MISSING 

Distinct52
Distinct (%)96.3%
Missing14
Missing (%)20.6%
Memory size676.0 B
2024-05-11T02:47:01.494925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length31.018519
Min length23

Characters and Unicode

Total characters1675
Distinct characters84
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

Unique51 ?
Unique (%)94.4%

Sample

1st row서울특별시 광진구 뚝섬로22길 73 (자양동)
2nd row서울특별시 광진구 용마산로 118, 2층 (중곡동)
3rd row서울특별시 광진구 동일로68길 31 (중곡동)
4th row서울특별시 광진구 천호대로111길 30, 1층 (중곡동)
5th row서울특별시 광진구 자양로43길 147-1 (중곡동)
ValueCountFrequency (%)
서울특별시 54
 
16.2%
광진구 54
 
16.2%
중곡동 22
 
6.6%
1층 21
 
6.3%
자양동 16
 
4.8%
지하1층 7
 
2.1%
구의동 7
 
2.1%
8 4
 
1.2%
자양로 4
 
1.2%
2층 3
 
0.9%
Other values (115) 141
42.3%
2024-05-11T02:47:02.616538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
16.7%
1 86
 
5.1%
구 69
 
4.1%
동 66
 
3.9%
광 59
 
3.5%
로 56
 
3.3%
) 55
 
3.3%
( 55
 
3.3%
서 54
 
3.2%
특 54
 
3.2%
Other values (74) 842
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 956
57.1%
Space Separator 279
 
16.7%
Decimal Number 265
 
15.8%
Close Punctuation 55
 
3.3%
Open Punctuation 55
 
3.3%
Other Punctuation 54
 
3.2%
Dash Punctuation 9
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
 
7.2%
동 66
 
6.9%
광 59
 
6.2%
로 56
 
5.9%
서 54
 
5.6%
특 54
 
5.6%
별 54
 
5.6%
시 54
 
5.6%
진 54
 
5.6%
울 54
 
5.6%
Other values (58) 382
40.0%
Decimal Number
ValueCountFrequency (%)
1 86
32.5%
2 40
15.1%
3 36
13.6%
8 25
 
9.4%
4 18
 
6.8%
0 16
 
6.0%
6 14
 
5.3%
5 13
 
4.9%
7 13
 
4.9%
9 4
 
1.5%
Space Separator
ValueCountFrequency (%)
279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 956
57.1%
Common 717
42.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
 
7.2%
동 66
 
6.9%
광 59
 
6.2%
로 56
 
5.9%
서 54
 
5.6%
특 54
 
5.6%
별 54
 
5.6%
시 54
 
5.6%
진 54
 
5.6%
울 54
 
5.6%
Other values (58) 382
40.0%
Common
ValueCountFrequency (%)
279
38.9%
1 86
 
12.0%
) 55
 
7.7%
( 55
 
7.7%
, 54
 
7.5%
2 40
 
5.6%
3 36
 
5.0%
8 25
 
3.5%
4 18
 
2.5%
0 16
 
2.2%
Other values (5) 53
 
7.4%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 956
57.1%
ASCII 719
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
38.8%
1 86
 
12.0%
) 55
 
7.6%
( 55
 
7.6%
, 54
 
7.5%
2 40
 
5.6%
3 36
 
5.0%
8 25
 
3.5%
4 18
 
2.5%
0 16
 
2.2%
Other values (6) 55
 
7.6%
Hangul
ValueCountFrequency (%)
구 69
 
7.2%
동 66
 
6.9%
광 59
 
6.2%
로 56
 
5.9%
서 54
 
5.6%
특 54
 
5.6%
별 54
 
5.6%
시 54
 
5.6%
진 54
 
5.6%
울 54
 
5.6%
Other values (58) 382
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)79.6%
Missing14
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean5001.8704
Minimum4905
Maximum5116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-05-11T02:47:03.090407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4905
5-th percentile4911
Q14937
median4987
Q35061.75
95-th percentile5113.05
Maximum5116
Range211
Interquartile range (IQR)124.75

Descriptive statistics

Standard deviation73.651153
Coefficient of variation (CV)0.014724722
Kurtosis-1.4928048
Mean5001.8704
Median Absolute Deviation (MAD)60.5
Skewness0.27755431
Sum270101
Variance5424.4923
MonotonicityNot monotonic
2024-05-11T02:47:03.571431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4937 3
 
4.4%
4926 2
 
2.9%
5031 2
 
2.9%
4911 2
 
2.9%
5112 2
 
2.9%
4987 2
 
2.9%
5094 2
 
2.9%
5116 2
 
2.9%
4938 2
 
2.9%
4945 2
 
2.9%
Other values (33) 33
48.5%
(Missing) 14
20.6%
ValueCountFrequency (%)
4905 1
1.5%
4908 1
1.5%
4911 2
2.9%
4912 1
1.5%
4913 1
1.5%
4917 1
1.5%
4926 2
2.9%
4927 1
1.5%
4930 1
1.5%
4931 1
1.5%
ValueCountFrequency (%)
5116 2
2.9%
5115 1
1.5%
5112 2
2.9%
5108 1
1.5%
5106 1
1.5%
5105 1
1.5%
5103 1
1.5%
5094 2
2.9%
5088 1
1.5%
5084 1
1.5%

사업장명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-05-11T02:47:04.088103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length6.3382353
Min length3

Characters and Unicode

Total characters431
Distinct characters158
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

Unique68 ?
Unique (%)100.0%

Sample

1st row강남유통
2nd row수안보농협.남한강김치
3rd row동천에프앤비
4th row복성급식
5th row부국물산
ValueCountFrequency (%)
강남유통 1
 
1.4%
풀서비스코리아(주 1
 
1.4%
친환경유통 1
 
1.4%
주)돈사랑 1
 
1.4%
우진연세우유특판 1
 
1.4%
만나식품 1
 
1.4%
주)에스제이홀세일 1
 
1.4%
애플푸드 1
 
1.4%
수안보농협.남한강김치 1
 
1.4%
협동조합 1
 
1.4%
Other values (62) 62
86.1%
2024-05-11T02:47:05.048801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
4.6%
( 19
 
4.4%
) 19
 
4.4%
유 16
 
3.7%
드 13
 
3.0%
푸 12
 
2.8%
식 11
 
2.6%
통 9
 
2.1%
에 8
 
1.9%
우 8
 
1.9%
Other values (148) 296
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
86.5%
Open Punctuation 19
 
4.4%
Close Punctuation 19
 
4.4%
Uppercase Letter 10
 
2.3%
Space Separator 4
 
0.9%
Lowercase Letter 3
 
0.7%
Other Punctuation 2
 
0.5%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
5.4%
유 16
 
4.3%
드 13
 
3.5%
푸 12
 
3.2%
식 11
 
2.9%
통 9
 
2.4%
에 8
 
2.1%
우 8
 
2.1%
이 7
 
1.9%
스 7
 
1.9%
Other values (133) 262
70.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
30.0%
F 2
20.0%
J 1
 
10.0%
U 1
 
10.0%
C 1
 
10.0%
T 1
 
10.0%
K 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
d 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
86.5%
Common 45
 
10.4%
Latin 13
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
5.4%
유 16
 
4.3%
드 13
 
3.5%
푸 12
 
3.2%
식 11
 
2.9%
통 9
 
2.4%
에 8
 
2.1%
우 8
 
2.1%
이 7
 
1.9%
스 7
 
1.9%
Other values (133) 262
70.2%
Latin
ValueCountFrequency (%)
S 3
23.1%
F 2
15.4%
o 2
15.4%
J 1
 
7.7%
U 1
 
7.7%
C 1
 
7.7%
d 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
Common
ValueCountFrequency (%)
( 19
42.2%
) 19
42.2%
4
 
8.9%
1 1
 
2.2%
. 1
 
2.2%
& 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
86.5%
ASCII 58
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
5.4%
유 16
 
4.3%
드 13
 
3.5%
푸 12
 
3.2%
식 11
 
2.9%
통 9
 
2.4%
에 8
 
2.1%
우 8
 
2.1%
이 7
 
1.9%
스 7
 
1.9%
Other values (133) 262
70.2%
ASCII
ValueCountFrequency (%)
( 19
32.8%
) 19
32.8%
4
 
6.9%
S 3
 
5.2%
F 2
 
3.4%
o 2
 
3.4%
J 1
 
1.7%
1 1
 
1.7%
U 1
 
1.7%
. 1
 
1.7%
Other values (5) 5
 
8.6%

최종수정일자
Date

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2008-03-20 15:00:21
Maximum2024-04-03 15:13:21
2024-05-11T02:47:05.476714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:47:05.954818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
I
46 
U
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 46
67.6%
U 22
32.4%

Length

2024-05-11T02:47:06.360851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:06.688065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 46
67.6%
u 22
32.4%

데이터갱신일자
Categorical

Distinct31
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
2018-08-31 23:59:59.0
34 
2022-12-05 22:02:00.0
 
2
2018-10-10 02:36:32.0
 
2
2021-03-17 02:40:00.0
 
2
2018-09-04 23:59:59.0
 
2
Other values (26)
26 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique26 ?
Unique (%)38.2%

Sample

1st row2019-10-13 02:40:00.0
2nd row2018-09-04 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 34
50.0%
2022-12-05 22:02:00.0 2
 
2.9%
2018-10-10 02:36:32.0 2
 
2.9%
2021-03-17 02:40:00.0 2
 
2.9%
2018-09-04 23:59:59.0 2
 
2.9%
2021-01-29 02:40:00.0 1
 
1.5%
2021-12-03 22:03:00.0 1
 
1.5%
2022-12-05 22:01:00.0 1
 
1.5%
2019-11-29 02:40:00.0 1
 
1.5%
2021-05-16 02:40:00.0 1
 
1.5%
Other values (21) 21
30.9%

Length

2024-05-11T02:47:07.129374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 36
26.5%
2018-08-31 34
25.0%
02:40:00.0 10
 
7.4%
2022-12-05 4
 
2.9%
22:02:00.0 3
 
2.2%
2021-12-03 2
 
1.5%
23:05:00.0 2
 
1.5%
2021-11-01 2
 
1.5%
2022-12-01 2
 
1.5%
00:08:00.0 2
 
1.5%
Other values (35) 39
28.7%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
집단급식소 식품판매업
68 

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 68
100.0%

Length

2024-05-11T02:47:07.560289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:07.882734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 68
50.0%
식품판매업 68
50.0%

좌표정보(X)
Real number (ℝ)

Distinct61
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207324.36
Minimum205367.27
Maximum209506.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-05-11T02:47:08.409598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205367.27
5-th percentile205771.21
Q1206956.93
median207335.09
Q3207710.28
95-th percentile208215.61
Maximum209506.55
Range4139.2813
Interquartile range (IQR)753.35032

Descriptive statistics

Standard deviation738.69234
Coefficient of variation (CV)0.0035629789
Kurtosis1.311086
Mean207324.36
Median Absolute Deviation (MAD)377.87773
Skewness-0.24100317
Sum14098057
Variance545666.37
MonotonicityNot monotonic
2024-05-11T02:47:08.918324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207265.774986626 3
 
4.4%
207243.677287182 2
 
2.9%
207497.273946123 2
 
2.9%
208135.50744518 2
 
2.9%
207999.833544482 2
 
2.9%
206409.509159595 2
 
2.9%
207781.299418586 1
 
1.5%
206945.083523091 1
 
1.5%
207708.54018102 1
 
1.5%
207973.806781794 1
 
1.5%
Other values (51) 51
75.0%
ValueCountFrequency (%)
205367.268135886 1
1.5%
205679.358044753 1
1.5%
205712.343658029 1
1.5%
205749.287162088 1
1.5%
205811.926325936 1
1.5%
206164.892629358 1
1.5%
206409.509159595 2
2.9%
206560.729981306 1
1.5%
206635.02059305 1
1.5%
206744.698599511 1
1.5%
ValueCountFrequency (%)
209506.54940258 1
1.5%
209079.012519164 1
1.5%
208283.806161937 1
1.5%
208250.20072249 1
1.5%
208151.368965637 1
1.5%
208135.50744518 2
2.9%
208084.791618669 1
1.5%
208049.543460115 1
1.5%
208036.036461527 1
1.5%
207999.833544482 2
2.9%

좌표정보(Y)
Real number (ℝ)

Distinct61
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449599.84
Minimum447379.67
Maximum452054.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-05-11T02:47:09.416059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447379.67
5-th percentile447693.69
Q1448167.86
median449585.91
Q3450767.5
95-th percentile451727.56
Maximum452054.54
Range4674.8686
Interquartile range (IQR)2599.6472

Descriptive statistics

Standard deviation1463.1618
Coefficient of variation (CV)0.0032543646
Kurtosis-1.4409608
Mean449599.84
Median Absolute Deviation (MAD)1327.5038
Skewness-0.003419551
Sum30572789
Variance2140842.4
MonotonicityNot monotonic
2024-05-11T02:47:09.946759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451156.95895701 3
 
4.4%
450602.215782465 2
 
2.9%
447695.80175358 2
 
2.9%
448204.09170096 2
 
2.9%
450699.016711481 2
 
2.9%
447753.819576028 2
 
2.9%
449602.402021946 1
 
1.5%
451429.521066723 1
 
1.5%
449072.561933652 1
 
1.5%
447692.555249939 1
 
1.5%
Other values (51) 51
75.0%
ValueCountFrequency (%)
447379.671524405 1
1.5%
447382.749595675 1
1.5%
447471.157809963 1
1.5%
447692.555249939 1
1.5%
447695.80175358 2
2.9%
447727.902710768 1
1.5%
447753.819576028 2
2.9%
447764.67689935 1
1.5%
447810.017610051 1
1.5%
447824.788818049 1
1.5%
ValueCountFrequency (%)
452054.540092723 1
1.5%
452052.011597348 1
1.5%
451987.407937562 1
1.5%
451818.380484071 1
1.5%
451558.905825829 1
1.5%
451508.888404433 1
1.5%
451464.943669178 1
1.5%
451429.521066723 1
1.5%
451329.121803494 1
1.5%
451319.043639473 1
1.5%

위생업태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
집단급식소 식품판매업
54 
<NA>
14 

Length

Max length11
Median length11
Mean length9.5588235
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 54
79.4%
<NA> 14
 
20.6%

Length

2024-05-11T02:47:10.552836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:10.988124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 54
44.3%
식품판매업 54
44.3%
na 14
 
11.5%

남성종사자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

여성종사자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing66
Missing (%)97.1%
Memory size676.0 B
2024-05-11T02:47:11.403562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
ValueCountFrequency (%)
상수도전용 2
100.0%
2024-05-11T02:47:12.362740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

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

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

본사종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
56 
0
12 

Length

Max length4
Median length4
Mean length3.4705882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
82.4%
0 12
 
17.6%

Length

2024-05-11T02:47:12.847252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:13.223527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
82.4%
0 12
 
17.6%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
56 
0
12 

Length

Max length4
Median length4
Mean length3.4705882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
82.4%
0 12
 
17.6%

Length

2024-05-11T02:47:13.706402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:14.186504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
82.4%
0 12
 
17.6%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
56 
0
12 

Length

Max length4
Median length4
Mean length3.4705882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
82.4%
0 12
 
17.6%

Length

2024-05-11T02:47:14.736701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:15.236389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
82.4%
0 12
 
17.6%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
56 
0
12 

Length

Max length4
Median length4
Mean length3.4705882
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
82.4%
0 12
 
17.6%

Length

2024-05-11T02:47:15.749778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:16.133934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
82.4%
0 12
 
17.6%

건물소유구분명
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
45 
임대
17 
자가
6 

Length

Max length4
Median length4
Mean length3.3235294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
66.2%
임대 17
 
25.0%
자가 6
 
8.8%

Length

2024-05-11T02:47:16.667127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:17.166012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
66.2%
임대 17
 
25.0%
자가 6
 
8.8%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
67 
3000000
 
1

Length

Max length7
Median length4
Mean length4.0441176
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
98.5%
3000000 1
 
1.5%

Length

2024-05-11T02:47:17.673406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:18.123201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
98.5%
3000000 1
 
1.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
67 
480000
 
1

Length

Max length6
Median length4
Mean length4.0294118
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
98.5%
480000 1
 
1.5%

Length

2024-05-11T02:47:18.695758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:19.138993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
98.5%
480000 1
 
1.5%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.9%
Missing14
Missing (%)20.6%
Memory size268.0 B
False
54 
(Missing)
14 
ValueCountFrequency (%)
False 54
79.4%
(Missing) 14
 
20.6%
2024-05-11T02:47:19.445330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
0.0
53 
<NA>
14 
63.25
 
1

Length

Max length5
Median length3
Mean length3.2352941
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 53
77.9%
<NA> 14
 
20.6%
63.25 1
 
1.5%

Length

2024-05-11T02:47:20.050294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:47:20.618350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 53
77.9%
na 14
 
20.6%
63.25 1
 
1.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030400003040000-122-2008-0000120080317<NA>3폐업2폐업20191011<NA><NA><NA>02 468493649.5143846서울특별시 광진구 자양동 192-24서울특별시 광진구 뚝섬로22길 73 (자양동)5088강남유통2019-10-11 16:08:43U2019-10-13 02:40:00.0집단급식소 식품판매업205367.268136448000.951265집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
130400003040000-122-2008-0000220080320<NA>1영업/정상1영업<NA><NA><NA><NA>02 4579757167.2143883서울특별시 광진구 중곡동 18-72 2층서울특별시 광진구 용마산로 118, 2층 (중곡동)4941수안보농협.남한강김치2018-09-04 09:30:09U2018-09-04 23:59:59.0집단급식소 식품판매업207621.641172451329.121803집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230400003040000-122-2008-0000320080320<NA>3폐업2폐업20090910<NA><NA><NA>4643085<NA>143901서울특별시 광진구 중곡동 185-5<NA><NA>동천에프앤비2008-03-20 15:00:21I2018-08-31 23:59:59.0집단급식소 식품판매업206939.863944451987.407938집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330400003040000-122-2008-0000420080402<NA>3폐업2폐업20090218<NA><NA><NA>4469977<NA>143891서울특별시 광진구 중곡동 138-8 (101호)<NA><NA>복성급식2009-01-07 10:49:04I2018-08-31 23:59:59.0집단급식소 식품판매업207243.677287450602.215782집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430400003040000-122-2008-0000520080703<NA>3폐업2폐업20081201<NA><NA><NA>02 5140938<NA>143802서울특별시 광진구 광장동 148-11 대호빌딩 210호<NA><NA>부국물산2008-07-04 10:01:39I2018-08-31 23:59:59.0집단급식소 식품판매업209506.549403449634.030106집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530400003040000-122-2008-0000620080715<NA>1영업/정상1영업<NA><NA><NA><NA>02 4972855<NA>143904서울특별시 광진구 중곡동 247-41서울특별시 광진구 동일로68길 31 (중곡동)4913좋은날Food2010-08-18 11:03:56I2018-08-31 23:59:59.0집단급식소 식품판매업206779.000837451139.508876집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630400003040000-122-2008-0000720080822<NA>3폐업2폐업20131209<NA><NA><NA>02 465 2450<NA>143915서울특별시 광진구 화양동 234 (1층)<NA><NA>우진유통2012-12-11 17:49:30I2018-08-31 23:59:59.0집단급식소 식품판매업205749.287162449140.532279집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730400003040000-122-2008-0000820080825<NA>3폐업2폐업20160801<NA><NA><NA>02 31434150<NA>143891서울특별시 광진구 중곡동 138-8서울특별시 광진구 천호대로111길 30, 1층 (중곡동)4926청정학교급식우유특판2016-01-14 10:58:16I2018-08-31 23:59:59.0집단급식소 식품판매업207243.677287450602.215782집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830400003040000-122-2008-0000920080829<NA>3폐업2폐업20130311<NA><NA><NA>02 15889333<NA>143888서울특별시 광진구 중곡동 80-25서울특별시 광진구 자양로43길 147-1 (중곡동)4949풀서비스코리아(주)2008-08-29 13:33:12I2018-08-31 23:59:59.0집단급식소 식품판매업207755.216416450538.114797집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930400003040000-122-2008-0001020080904<NA>3폐업2폐업20190618<NA><NA><NA>02 453 794633.0143866서울특별시 광진구 자양동 612-21서울특별시 광진구 자양로15길 108, 1층 102호 (자양동)5054이천상회2019-06-18 11:22:59U2019-06-20 02:40:00.0집단급식소 식품판매업206819.758094448021.28826집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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5830400003040000-122-2020-0000120200527<NA>1영업/정상1영업<NA><NA><NA><NA>02 6949405825.0143858서울특별시 광진구 자양동 464-15서울특별시 광진구 자양번영로3길 31, 지층 1호 (자양동)5094삼에스비2020-05-27 15:25:53I2020-05-29 00:23:19.0집단급식소 식품판매업206409.50916447753.819576집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
5930400003040000-122-2020-0000220200626<NA>1영업/정상1영업<NA><NA><NA><NA>026949405724.0143858서울특별시 광진구 자양동 464-15서울특별시 광진구 자양번영로3길 31, 지하1층 2호 (자양동)5094보르네푸드2020-06-26 09:58:00I2020-06-28 00:23:16.0집단급식소 식품판매업206409.50916447753.819576집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
6030400003040000-122-2021-0000120210113<NA>3폐업2폐업20221213<NA><NA><NA><NA>24.75143873서울특별시 광진구 자양동 666-21서울특별시 광진구 자양로3길 65, 102호 (자양동)5105에이원푸드2022-12-13 11:38:13U2021-11-01 23:05:00.0집단급식소 식품판매업207281.865099447471.15781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6130400003040000-122-2021-0000220210513<NA>1영업/정상1영업<NA><NA><NA><NA><NA>31.5143900서울특별시 광진구 중곡동 690-1 이오공감서울특별시 광진구 동일로78길 42-3, 1층 (중곡동, 이오공감)4905서울중부 키즈2021-05-13 13:21:30I2021-05-15 00:22:56.0집단급식소 식품판매업207146.316139451818.380484집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
6230400003040000-122-2022-000012022-05-26<NA>1영업/정상1영업<NA><NA><NA><NA>02 444 948872.25143-818서울특별시 광진구 구의동 59-38서울특별시 광진구 천호대로138길 14, 1층 (구의동)4980연세우유 강남특판2023-06-15 11:29:27U2022-12-05 23:07:00.0집단급식소 식품판매업208151.368966449569.418335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6330400003040000-122-2023-0000120230106<NA>1영업/정상1영업<NA><NA><NA><NA><NA>35.0143910서울특별시 광진구 중곡동 603-1 지1층서울특별시 광진구 용마산로36길 12, 지1층 (중곡동)4938풍년유통2023-01-06 11:56:27I2022-12-01 00:08:00.0집단급식소 식품판매업207609.718512452054.540093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6430400003040000-122-2023-000022023-06-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>67.56143-885서울특별시 광진구 중곡동 40-12 지하1층서울특별시 광진구 능동로48길 8, 지하1층 (중곡동)4937SJ푸드2023-06-20 16:35:36I2022-12-05 22:02:00.0집단급식소 식품판매업207265.774987451156.958957<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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6630400003040000-122-2023-000042023-02-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.0143-837서울특별시 광진구 군자동 48-49 비아트리체빌딩서울특별시 광진구 면목로 25, 비아트리체빌딩 2층 202호 (군자동)4995주앤주2024-04-03 15:13:21I2023-12-04 00:05:00.0집단급식소 식품판매업206635.020593450465.144831<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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