Overview

Dataset statistics

Number of variables4
Number of observations88
Missing cells25
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory33.5 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 중구에 소재하는 위탁급식소에 관한 정보입니다.파일명 인천광역시 중구 위탁급식소 현황내용 업소명, 소재지, 소재지전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15034761&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 25 (28.4%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:04:15.422736
Analysis finished2024-03-18 03:04:16.324684
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-18T12:04:16.444419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length14.75
Min length4

Characters and Unicode

Total characters1298
Distinct characters227
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

Unique88 ?
Unique (%)100.0%

Sample

1st row(주)동원홈푸드인천공항화물터미널C동
2nd row신세계푸드동인천점
3rd row네이처델리제일곡산점
4th row씨제이프레시웨이(주)제일제당인천3공장점
5th row씨제이프레시웨이(주)인천냉동식품공장
ValueCountFrequency (%)
주)동원홈푸드 12
 
8.2%
주)아워홈 8
 
5.5%
씨제이프레시웨이 4
 
2.7%
구내식당 3
 
2.1%
주)그린푸드 2
 
1.4%
푸디스트주식회사 2
 
1.4%
주식회사 2
 
1.4%
본우리집밥 2
 
1.4%
스태츠칩팩코리아 2
 
1.4%
인천점 2
 
1.4%
Other values (106) 107
73.3%
2024-03-18T12:04:16.776330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 61
 
4.7%
주 61
 
4.7%
) 61
 
4.7%
58
 
4.5%
점 48
 
3.7%
이 44
 
3.4%
인 39
 
3.0%
푸 37
 
2.9%
드 37
 
2.9%
천 35
 
2.7%
Other values (217) 817
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1086
83.7%
Open Punctuation 61
 
4.7%
Close Punctuation 61
 
4.7%
Space Separator 58
 
4.5%
Uppercase Letter 19
 
1.5%
Decimal Number 10
 
0.8%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 61
 
5.6%
점 48
 
4.4%
이 44
 
4.1%
인 39
 
3.6%
푸 37
 
3.4%
드 37
 
3.4%
천 35
 
3.2%
제 31
 
2.9%
스 28
 
2.6%
동 28
 
2.6%
Other values (198) 698
64.3%
Uppercase Letter
ValueCountFrequency (%)
S 5
26.3%
E 2
 
10.5%
C 2
 
10.5%
L 2
 
10.5%
K 2
 
10.5%
G 2
 
10.5%
I 1
 
5.3%
V 1
 
5.3%
P 1
 
5.3%
A 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
1 3
30.0%
5 1
 
10.0%
3 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1086
83.7%
Common 193
 
14.9%
Latin 19
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 61
 
5.6%
점 48
 
4.4%
이 44
 
4.1%
인 39
 
3.6%
푸 37
 
3.4%
드 37
 
3.4%
천 35
 
3.2%
제 31
 
2.9%
스 28
 
2.6%
동 28
 
2.6%
Other values (198) 698
64.3%
Latin
ValueCountFrequency (%)
S 5
26.3%
E 2
 
10.5%
C 2
 
10.5%
L 2
 
10.5%
K 2
 
10.5%
G 2
 
10.5%
I 1
 
5.3%
V 1
 
5.3%
P 1
 
5.3%
A 1
 
5.3%
Common
ValueCountFrequency (%)
( 61
31.6%
) 61
31.6%
58
30.1%
2 5
 
2.6%
1 3
 
1.6%
/ 2
 
1.0%
5 1
 
0.5%
- 1
 
0.5%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1086
83.7%
ASCII 212
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 61
28.8%
) 61
28.8%
58
27.4%
S 5
 
2.4%
2 5
 
2.4%
1 3
 
1.4%
E 2
 
0.9%
/ 2
 
0.9%
C 2
 
0.9%
L 2
 
0.9%
Other values (9) 11
 
5.2%
Hangul
ValueCountFrequency (%)
주 61
 
5.6%
점 48
 
4.4%
이 44
 
4.1%
인 39
 
3.6%
푸 37
 
3.4%
드 37
 
3.4%
천 35
 
3.2%
제 31
 
2.9%
스 28
 
2.6%
동 28
 
2.6%
Other values (198) 698
64.3%

소재지
Text

Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-03-18T12:04:16.989328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length36.965909
Min length21

Characters and Unicode

Total characters3253
Distinct characters212
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

Unique84 ?
Unique (%)95.5%

Sample

1st row인천광역시 중구 공항동로295번길 77-11, 운송동 (운서동, 화물터미널C동)
2nd row인천광역시 중구 인중로 134 (신생동, 2층)
3rd row인천광역시 중구 서해대로209번길 69 (항동7가, 1층)
4th row인천광역시 중구 축항대로87번길 30 (항동7가, 1층)
5th row인천광역시 중구 서해대로 168 (신흥동3가)
ValueCountFrequency (%)
인천광역시 88
 
14.9%
중구 88
 
14.9%
운서동 40
 
6.8%
1층 17
 
2.9%
2층 15
 
2.5%
신흥동3가 14
 
2.4%
항동7가 13
 
2.2%
지하1층 12
 
2.0%
272 9
 
1.5%
3층 9
 
1.5%
Other values (203) 287
48.5%
2024-03-18T12:04:17.322850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
505
 
15.5%
동 127
 
3.9%
인 110
 
3.4%
1 108
 
3.3%
천 106
 
3.3%
역 96
 
3.0%
시 95
 
2.9%
2 94
 
2.9%
) 90
 
2.8%
, 90
 
2.8%
Other values (202) 1832
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1945
59.8%
Space Separator 505
 
15.5%
Decimal Number 490
 
15.1%
Other Punctuation 91
 
2.8%
Close Punctuation 90
 
2.8%
Open Punctuation 90
 
2.8%
Uppercase Letter 30
 
0.9%
Dash Punctuation 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 127
 
6.5%
인 110
 
5.7%
천 106
 
5.4%
역 96
 
4.9%
시 95
 
4.9%
중 89
 
4.6%
구 89
 
4.6%
광 88
 
4.5%
로 88
 
4.5%
항 72
 
3.7%
Other values (170) 985
50.6%
Uppercase Letter
ValueCountFrequency (%)
A 7
23.3%
C 4
13.3%
N 3
10.0%
B 2
 
6.7%
G 2
 
6.7%
E 2
 
6.7%
R 1
 
3.3%
H 1
 
3.3%
X 1
 
3.3%
K 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
1 108
22.0%
2 94
19.2%
3 56
11.4%
7 46
9.4%
9 41
 
8.4%
4 38
 
7.8%
0 31
 
6.3%
6 31
 
6.3%
5 29
 
5.9%
8 16
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 90
98.9%
/ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1945
59.8%
Common 1278
39.3%
Latin 30
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 127
 
6.5%
인 110
 
5.7%
천 106
 
5.4%
역 96
 
4.9%
시 95
 
4.9%
중 89
 
4.6%
구 89
 
4.6%
광 88
 
4.5%
로 88
 
4.5%
항 72
 
3.7%
Other values (170) 985
50.6%
Common
ValueCountFrequency (%)
505
39.5%
1 108
 
8.5%
2 94
 
7.4%
) 90
 
7.0%
, 90
 
7.0%
( 90
 
7.0%
3 56
 
4.4%
7 46
 
3.6%
9 41
 
3.2%
4 38
 
3.0%
Other values (6) 120
 
9.4%
Latin
ValueCountFrequency (%)
A 7
23.3%
C 4
13.3%
N 3
10.0%
B 2
 
6.7%
G 2
 
6.7%
E 2
 
6.7%
R 1
 
3.3%
H 1
 
3.3%
X 1
 
3.3%
K 1
 
3.3%
Other values (6) 6
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1945
59.8%
ASCII 1308
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
505
38.6%
1 108
 
8.3%
2 94
 
7.2%
) 90
 
6.9%
, 90
 
6.9%
( 90
 
6.9%
3 56
 
4.3%
7 46
 
3.5%
9 41
 
3.1%
4 38
 
2.9%
Other values (22) 150
 
11.5%
Hangul
ValueCountFrequency (%)
동 127
 
6.5%
인 110
 
5.7%
천 106
 
5.4%
역 96
 
4.9%
시 95
 
4.9%
중 89
 
4.6%
구 89
 
4.6%
광 88
 
4.5%
로 88
 
4.5%
항 72
 
3.7%
Other values (170) 985
50.6%

소재지전화
Text

MISSING 

Distinct59
Distinct (%)93.7%
Missing25
Missing (%)28.4%
Memory size836.0 B
2024-03-18T12:04:17.525406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.920635
Min length11

Characters and Unicode

Total characters751
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

Unique57 ?
Unique (%)90.5%

Sample

1st row032-744-8850
2nd row032-451-1195
3rd row032-889-2006
4th row032-880-8875
5th row032-890-9970
ValueCountFrequency (%)
02-589-6200 4
 
6.3%
02-3019-2273 2
 
3.2%
02-589-6092 1
 
1.6%
032-880-0114 1
 
1.6%
041-584-0926 1
 
1.6%
02-2149-6619 1
 
1.6%
0221-4966-19 1
 
1.6%
032-746-2571 1
 
1.6%
02-3397-6000 1
 
1.6%
070-4617-2293 1
 
1.6%
Other values (49) 49
77.8%
2024-03-18T12:04:17.870495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 126
16.8%
0 125
16.6%
2 96
12.8%
3 65
8.7%
8 62
8.3%
9 52
6.9%
4 51
6.8%
7 49
 
6.5%
1 45
 
6.0%
5 40
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 625
83.2%
Dash Punctuation 126
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
20.0%
2 96
15.4%
3 65
10.4%
8 62
9.9%
9 52
8.3%
4 51
8.2%
7 49
 
7.8%
1 45
 
7.2%
5 40
 
6.4%
6 40
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 751
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 126
16.8%
0 125
16.6%
2 96
12.8%
3 65
8.7%
8 62
8.3%
9 52
6.9%
4 51
6.8%
7 49
 
6.5%
1 45
 
6.0%
5 40
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 751
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 126
16.8%
0 125
16.6%
2 96
12.8%
3 65
8.7%
8 62
8.3%
9 52
6.9%
4 51
6.8%
7 49
 
6.5%
1 45
 
6.0%
5 40
 
5.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-07-05
88 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-05
2nd row2023-07-05
3rd row2023-07-05
4th row2023-07-05
5th row2023-07-05

Common Values

ValueCountFrequency (%)
2023-07-05 88
100.0%

Length

2024-03-18T12:04:18.037684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:04:18.115433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-05 88
100.0%

Correlations

2024-03-18T12:04:18.163357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지소재지전화
업소명1.0001.0001.000
소재지1.0001.0000.992
소재지전화1.0000.9921.000

Missing values

2024-03-18T12:04:16.234222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:04:16.298670image/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

업소명소재지소재지전화데이터기준일자
0(주)동원홈푸드인천공항화물터미널C동인천광역시 중구 공항동로295번길 77-11, 운송동 (운서동, 화물터미널C동)032-744-88502023-07-05
1신세계푸드동인천점인천광역시 중구 인중로 134 (신생동, 2층)032-451-11952023-07-05
2네이처델리제일곡산점인천광역시 중구 서해대로209번길 69 (항동7가, 1층)032-889-20062023-07-05
3씨제이프레시웨이(주)제일제당인천3공장점인천광역시 중구 축항대로87번길 30 (항동7가, 1층)032-880-88752023-07-05
4씨제이프레시웨이(주)인천냉동식품공장인천광역시 중구 서해대로 168 (신흥동3가)032-890-99702023-07-05
5씨제이프레시웨이(주)제당인2점인천광역시 중구 서해대로140번길 49 (신흥동3가, 제일제당(주))032-890-95912023-07-05
6(주)아워홈 동화기업 인천점인천광역시 중구 월미로 164 (북성동1가)<NA>2023-07-05
7(주)그린푸드 엠앤엠통운(주)점인천광역시 중구 축항대로 147 (항동7가, 27-9번지)032-880-91422023-07-05
8삼성웰스토리(주)인천공항여객동편인천광역시 중구 공항로 272, 일반동 지하1층 (운서동, 인천국제공항여객터미널)032-741-61162023-07-05
9(주)동원홈푸드 대한제분점인천광역시 중구 월미로 50 (북성동1가)032-765-78032023-07-05
업소명소재지소재지전화데이터기준일자
78한결같은푸드 경기영업소인천광역시 중구 축항대로296번길 99, 2층 (신흥동3가)<NA>2023-07-05
79(주)동원홈푸드 인천국제물류센터점인천광역시 중구 공항동로296번길 98-114, 인천국제물류센터 B1블럭 2층 구내식당 (운서동)02-589-60922023-07-05
80씨제이프레시웨이(주)아레나스영종물류센터점인천광역시 중구 영종순환로900번길 30, 아레나스영종물류센터 6층 (운북동)02-2149-66192023-07-05
81(주)제이엘푸드컨설팅 꿈꾸는요양원점인천광역시 중구 연안부두로55번길 6, 1층 (항동7가)<NA>2023-07-05
82(주)금강웰빙푸드 샤프테크닉스케이점인천광역시 중구 공항로 272, 항공기정비시설(C) HANGAR/ANNEX동 3층 (운서동)041-584-09262023-07-05
83본우리집밥 정부합동청사점인천광역시 중구 공항로424번길 47, 정부합동청사 7층 (운서동)02-3019-22732023-07-05
84본우리집밥 인천국제공항관리청사점인천광역시 중구 공항로424번길 47, 인천국제공항공사 7층 (운서동)02-3019-22732023-07-05
85주식회사 더채움(골드 VIP)인천광역시 중구 참외전로 178, 골드VIP요양원 지하1층 일부 (경동)<NA>2023-07-05
86삼성웰스토리(주)씨제이제일제당인천1공장인천광역시 중구 아암대로 20, 씨제이제일제당 1층 일부 (신흥동3가)032-890-94222023-07-05
87베스트푸드쉥커KLC2인천광역시 중구 자유무역로 228, 쉥커코리아 글로벌 배송센터 KLC2 창고동 4층 (운서동)<NA>2023-07-05