Overview

Dataset statistics

Number of variables9
Number of observations41
Missing cells11
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory76.2 B

Variable types

Categorical2
DateTime3
Text3
Numeric1

Dataset

Description경기도 여주시 관내 식품위생업 중 위탁급식 영업현황 정보(업종명, 허가일자, 업소명, 소재지, 영업장면적, 전화번호, 영업자시작일자, 소재지시작일자, 업태명)를 제공합니다.
Author경기도 여주시
URLhttps://www.data.go.kr/data/15038678/fileData.do

Alerts

업종명 has constant value ""Constant
업태명 has constant value ""Constant
소재지전화 has 11 (26.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:36:38.872315
Analysis finished2023-12-12 11:36:40.140257
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
위탁급식영업
41 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 41
100.0%

Length

2023-12-12T20:36:40.263600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:36:40.461298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 41
100.0%

인허가일자
Date

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2003-10-07 00:00:00
Maximum2020-03-25 00:00:00
2023-12-12T20:36:40.686892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:36:40.975689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업소명
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:36:41.389685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length12.560976
Min length2

Characters and Unicode

Total characters515
Distinct characters145
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row풀무원푸드앤컬처 블루헤런
2nd row(주)KC산업개발(구내식당)
3rd row(주)성호캐터링 SGC테크놀로지
4th row주식회사아워홈여주소피아그린CC점
5th rowKT여주지점 구내식당
ValueCountFrequency (%)
주)신세계푸드 3
 
4.4%
케이씨푸드 2
 
2.9%
주)빌텍 2
 
2.9%
씨제이프레시웨이(주 2
 
2.9%
여주공장 2
 
2.9%
직원식당 2
 
2.9%
풀무원푸드앤컬처 2
 
2.9%
주)아워홈 2
 
2.9%
주)현대그린푸드 1
 
1.5%
산림조합 1
 
1.5%
Other values (49) 49
72.1%
2023-12-12T20:36:42.616923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
8.3%
27
 
5.2%
( 26
 
5.0%
) 26
 
5.0%
이 17
 
3.3%
여 16
 
3.1%
드 14
 
2.7%
푸 13
 
2.5%
원 13
 
2.5%
C 12
 
2.3%
Other values (135) 308
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
80.2%
Space Separator 27
 
5.2%
Open Punctuation 26
 
5.0%
Close Punctuation 26
 
5.0%
Uppercase Letter 19
 
3.7%
Decimal Number 3
 
0.6%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
10.4%
이 17
 
4.1%
여 16
 
3.9%
드 14
 
3.4%
푸 13
 
3.1%
원 13
 
3.1%
식 12
 
2.9%
씨 10
 
2.4%
스 10
 
2.4%
점 10
 
2.4%
Other values (122) 255
61.7%
Uppercase Letter
ValueCountFrequency (%)
C 12
63.2%
S 2
 
10.5%
K 2
 
10.5%
I 1
 
5.3%
T 1
 
5.3%
G 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
80.2%
Common 83
 
16.1%
Latin 19
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
10.4%
이 17
 
4.1%
여 16
 
3.9%
드 14
 
3.4%
푸 13
 
3.1%
원 13
 
3.1%
식 12
 
2.9%
씨 10
 
2.4%
스 10
 
2.4%
점 10
 
2.4%
Other values (122) 255
61.7%
Common
ValueCountFrequency (%)
27
32.5%
( 26
31.3%
) 26
31.3%
_ 1
 
1.2%
0 1
 
1.2%
6 1
 
1.2%
3 1
 
1.2%
Latin
ValueCountFrequency (%)
C 12
63.2%
S 2
 
10.5%
K 2
 
10.5%
I 1
 
5.3%
T 1
 
5.3%
G 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
80.2%
ASCII 102
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
10.4%
이 17
 
4.1%
여 16
 
3.9%
드 14
 
3.4%
푸 13
 
3.1%
원 13
 
3.1%
식 12
 
2.9%
씨 10
 
2.4%
스 10
 
2.4%
점 10
 
2.4%
Other values (122) 255
61.7%
ASCII
ValueCountFrequency (%)
27
26.5%
( 26
25.5%
) 26
25.5%
C 12
11.8%
S 2
 
2.0%
K 2
 
2.0%
I 1
 
1.0%
_ 1
 
1.0%
T 1
 
1.0%
G 1
 
1.0%
Other values (3) 3
 
2.9%

소재지
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:36:43.091403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length22.804878
Min length15

Characters and Unicode

Total characters935
Distinct characters117
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row경기도 여주시 대신면 고달사로 67
2nd row경기도 여주시 가남읍 가남로 465
3rd row경기도 여주시 능서면 양화로 698-24
4th row경기도 여주시 점동면 소피아그린길 84
5th row경기도 여주시 청심로 204
ValueCountFrequency (%)
경기도 41
18.1%
여주시 41
18.1%
가남읍 14
 
6.2%
1층 9
 
4.0%
세종로 4
 
1.8%
2층 4
 
1.8%
경충대로 4
 
1.8%
상거동 3
 
1.3%
점동면 3
 
1.3%
여주남로 3
 
1.3%
Other values (88) 100
44.2%
2023-12-12T20:36:43.770667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
19.8%
여 47
 
5.0%
주 47
 
5.0%
경 45
 
4.8%
도 42
 
4.5%
시 42
 
4.5%
기 41
 
4.4%
로 34
 
3.6%
1 33
 
3.5%
2 25
 
2.7%
Other values (107) 394
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
59.9%
Space Separator 185
 
19.8%
Decimal Number 148
 
15.8%
Other Punctuation 15
 
1.6%
Close Punctuation 11
 
1.2%
Open Punctuation 11
 
1.2%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 47
 
8.4%
주 47
 
8.4%
경 45
 
8.0%
도 42
 
7.5%
시 42
 
7.5%
기 41
 
7.3%
로 34
 
6.1%
남 20
 
3.6%
가 17
 
3.0%
동 17
 
3.0%
Other values (92) 208
37.1%
Decimal Number
ValueCountFrequency (%)
1 33
22.3%
2 25
16.9%
3 19
12.8%
4 15
10.1%
6 13
 
8.8%
0 12
 
8.1%
8 9
 
6.1%
7 8
 
5.4%
9 7
 
4.7%
5 7
 
4.7%
Space Separator
ValueCountFrequency (%)
185
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
59.9%
Common 375
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 47
 
8.4%
주 47
 
8.4%
경 45
 
8.0%
도 42
 
7.5%
시 42
 
7.5%
기 41
 
7.3%
로 34
 
6.1%
남 20
 
3.6%
가 17
 
3.0%
동 17
 
3.0%
Other values (92) 208
37.1%
Common
ValueCountFrequency (%)
185
49.3%
1 33
 
8.8%
2 25
 
6.7%
3 19
 
5.1%
, 15
 
4.0%
4 15
 
4.0%
6 13
 
3.5%
0 12
 
3.2%
) 11
 
2.9%
( 11
 
2.9%
Other values (5) 36
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
59.9%
ASCII 375
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
49.3%
1 33
 
8.8%
2 25
 
6.7%
3 19
 
5.1%
, 15
 
4.0%
4 15
 
4.0%
6 13
 
3.5%
0 12
 
3.2%
) 11
 
2.9%
( 11
 
2.9%
Other values (5) 36
 
9.6%
Hangul
ValueCountFrequency (%)
여 47
 
8.4%
주 47
 
8.4%
경 45
 
8.0%
도 42
 
7.5%
시 42
 
7.5%
기 41
 
7.3%
로 34
 
6.1%
남 20
 
3.6%
가 17
 
3.0%
동 17
 
3.0%
Other values (92) 208
37.1%

영업장면적
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.69366
Minimum19
Maximum524.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:36:44.017126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile60
Q1115.68
median221.2
Q3327.94
95-th percentile504.04
Maximum524.25
Range505.25
Interquartile range (IQR)212.26

Descriptive statistics

Standard deviation136.09521
Coefficient of variation (CV)0.57016683
Kurtosis-0.46023731
Mean238.69366
Median Absolute Deviation (MAD)106.74
Skewness0.4815796
Sum9786.44
Variance18521.905
MonotonicityNot monotonic
2023-12-12T20:36:44.286069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
256.22 2
 
4.9%
407.0 1
 
2.4%
96.3 1
 
2.4%
60.0 1
 
2.4%
19.0 1
 
2.4%
270.4 1
 
2.4%
221.2 1
 
2.4%
398.32 1
 
2.4%
247.5 1
 
2.4%
201.2 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
19.0 1
2.4%
44.0 1
2.4%
60.0 1
2.4%
60.15 1
2.4%
72.0 1
2.4%
88.2 1
2.4%
96.3 1
2.4%
100.28 1
2.4%
100.8 1
2.4%
113.0 1
2.4%
ValueCountFrequency (%)
524.25 1
2.4%
512.0 1
2.4%
504.04 1
2.4%
490.8 1
2.4%
407.0 1
2.4%
398.32 1
2.4%
396.16 1
2.4%
379.0 1
2.4%
345.58 1
2.4%
332.57 1
2.4%

소재지전화
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing11
Missing (%)26.8%
Memory size460.0 B
2023-12-12T20:36:44.589523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters420
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row031 - 880-6869
2nd row031 - 887-8171
3rd row 031- 885-0800
4th row 031- 883-7189
5th row031 - 887-6196
ValueCountFrequency (%)
031 21
29.6%
8
 
11.3%
02 3
 
4.2%
880 2
 
2.8%
881 2
 
2.8%
031-5171-1168 1
 
1.4%
5913 1
 
1.4%
1333 1
 
1.4%
3648 1
 
1.4%
881-4012 1
 
1.4%
Other values (30) 30
42.3%
2023-12-12T20:36:45.093756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
14.3%
59
14.0%
1 53
12.6%
8 53
12.6%
0 52
12.4%
3 32
7.6%
2 23
 
5.5%
5 21
 
5.0%
6 21
 
5.0%
7 16
 
3.8%
Other values (2) 30
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 301
71.7%
Dash Punctuation 60
 
14.3%
Space Separator 59
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 53
17.6%
8 53
17.6%
0 52
17.3%
3 32
10.6%
2 23
7.6%
5 21
 
7.0%
6 21
 
7.0%
7 16
 
5.3%
9 15
 
5.0%
4 15
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
14.3%
59
14.0%
1 53
12.6%
8 53
12.6%
0 52
12.4%
3 32
7.6%
2 23
 
5.5%
5 21
 
5.0%
6 21
 
5.0%
7 16
 
3.8%
Other values (2) 30
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
14.3%
59
14.0%
1 53
12.6%
8 53
12.6%
0 52
12.4%
3 32
7.6%
2 23
 
5.5%
5 21
 
5.0%
6 21
 
5.0%
7 16
 
3.8%
Other values (2) 30
7.1%

영업자시작일
Date

Distinct36
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2005-11-07 00:00:00
Maximum2020-03-25 00:00:00
2023-12-12T20:36:45.349735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:36:45.597449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

소재지시작일
Date

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2003-10-07 00:00:00
Maximum2020-03-25 00:00:00
2023-12-12T20:36:45.844392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:36:46.081214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
위탁급식영업
41 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 41
100.0%

Length

2023-12-12T20:36:46.305513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:36:46.484661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 41
100.0%

Interactions

2023-12-12T20:36:39.565438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:36:46.614493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자업소명소재지영업장면적소재지전화영업자시작일소재지시작일
인허가일자1.0000.9951.0001.0001.0001.0001.000
업소명0.9951.0000.9950.7801.0001.0000.995
소재지1.0000.9951.0001.0001.0001.0001.000
영업장면적1.0000.7801.0001.0001.0000.9271.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
영업자시작일1.0001.0001.0000.9271.0001.0001.000
소재지시작일1.0000.9951.0001.0001.0001.0001.000

Missing values

2023-12-12T20:36:39.779713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:36:40.032158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업종명인허가일자업소명소재지영업장면적소재지전화영업자시작일소재지시작일업태명
0위탁급식영업2003-10-07풀무원푸드앤컬처 블루헤런경기도 여주시 대신면 고달사로 67407.0031 - 880-68692019-01-212003-10-07위탁급식영업
1위탁급식영업2005-10-25(주)KC산업개발(구내식당)경기도 여주시 가남읍 가남로 46572.0<NA>2009-04-032005-10-25위탁급식영업
2위탁급식영업2005-11-07(주)성호캐터링 SGC테크놀로지경기도 여주시 능서면 양화로 698-2444.0<NA>2005-11-072005-11-07위탁급식영업
3위탁급식영업2006-03-30주식회사아워홈여주소피아그린CC점경기도 여주시 점동면 소피아그린길 84212.32031 - 887-81712020-03-122006-03-30위탁급식영업
4위탁급식영업2007-05-28KT여주지점 구내식당경기도 여주시 청심로 204113.0031- 885-08002018-12-122007-05-28위탁급식영업
5위탁급식영업2007-09-13은혜식당경기도 여주시 능서면 능여로 344147.2031- 883-71892018-08-242007-09-13위탁급식영업
6위탁급식영업2007-12-07(주)신세계푸드 이마트 여주점경기도 여주시 세종로 151205.0031 - 887-61962019-04-102007-12-07위탁급식영업
7위탁급식영업2008-07-07(주)신세계푸드 여주물류경기도 여주시 웅골로 161204.08031 - 887-50312019-04-102008-07-07위탁급식영업
8위탁급식영업2009-02-04코주부프레쉬쿡 여주대학교 교직원식당 지점경기도 여주시 세종로 338490.8031 - 881-61562020-03-202013-04-09위탁급식영업
9위탁급식영업2009-04-01(주)아워홈 코카콜라여주점경기도 여주시 세종로 415165.202 -2175-41152020-03-172009-04-01위탁급식영업
업종명인허가일자업소명소재지영업장면적소재지전화영업자시작일소재지시작일업태명
31위탁급식영업2018-08-02프라미스온_방재시험연구원경기도 여주시 가남읍 경충대로 1030, 방재시험연구원 구내식당동 1층201.2<NA>2018-08-022018-08-02위탁급식영업
32위탁급식영업2019-05-30에이스침대 여주공장경기도 여주시 가남읍 헌바디길 23-13, 2층512.0042- 471-10312019-05-302019-05-30위탁급식영업
33위탁급식영업2019-06-11신성푸드서비스(주)상일식품경기도 여주시 삼교1길 16, 2층 (삼교동)88.202- 429-20982019-06-112019-06-11위탁급식영업
34위탁급식영업2019-06-25(주)아워홈 솔모로CC여주점(직원식당)경기도 여주시 가남읍 솔모로그린길 171, 1층181.9902-6966-92852020-03-112019-06-25위탁급식영업
35위탁급식영업2019-08-29풀무원푸드앤컬처 여주아울렛경기도 여주시 명품로 360, 여주프리미엄아울렛 100동 2층 (상거동)327.9402-3400-76962019-08-292019-08-29위탁급식영업
36위탁급식영업2019-09-24초이원경기도 여주시 점동면 안평로 79, 1동 2층379.0<NA>2019-09-242019-09-24위탁급식영업
37위탁급식영업2019-10-10씨제이프레시웨이(주) 한국콜마 여주아카데미점경기도 여주시 영릉로 312 (하동)332.57<NA>2019-10-102019-10-10위탁급식영업
38위탁급식영업2020-02-17케이씨씨글라스경기도 여주시 가남읍 여주남로 541, 12동 1층524.25<NA>2020-02-172020-02-17위탁급식영업
39위탁급식영업2020-02-21대광식당경기도 여주시 가남읍 여주남로 761, 1층60.15<NA>2020-02-212020-02-21위탁급식영업
40위탁급식영업2020-03-25(주)코주부프레쉬쿡 여주대학 학생식당지점경기도 여주시 세종로 338, 여주대학교 실천관 1층 학생식당 (교동)504.04<NA>2020-03-252020-03-25위탁급식영업