Overview

Dataset statistics

Number of variables4
Number of observations101
Missing cells25
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory33.3 B

Variable types

Text3
Categorical1

Dataset

Description인천광역시 중구 식품제조가공업에 대한 정보입니다.파일명 인천광역시 중구 식품제조가공업 현황내용 업소명, 소재지 도로명주소, 전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15074715&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 25 (24.8%) missing valuesMissing
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:03:33.163309
Analysis finished2024-01-28 13:03:33.606588
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-28T22:03:33.735354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.5445545
Min length2

Characters and Unicode

Total characters762
Distinct characters192
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

Unique97 ?
Unique (%)96.0%

Sample

1st row씨제이제일제당(주)
2nd row수협인천가공물류센터
3rd row대한제당(주)
4th row씨제이제일제당(주)
5th row씨제이제일제당(주)
ValueCountFrequency (%)
주식회사 12
 
9.8%
씨제이제일제당(주 4
 
3.3%
유한회사 2
 
1.6%
coffee 2
 
1.6%
최양반 1
 
0.8%
헬로씨푸드 1
 
0.8%
명진에프엔비 1
 
0.8%
아쿠아씨푸드 1
 
0.8%
우보유통 1
 
0.8%
지성유통 1
 
0.8%
Other values (97) 97
78.9%
2024-01-28T22:03:34.049165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
6.3%
( 36
 
4.7%
) 36
 
4.7%
식 24
 
3.1%
푸 23
 
3.0%
드 23
 
3.0%
사 22
 
2.9%
22
 
2.9%
에 19
 
2.5%
회 17
 
2.2%
Other values (182) 492
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
82.8%
Open Punctuation 36
 
4.7%
Close Punctuation 36
 
4.7%
Uppercase Letter 36
 
4.7%
Space Separator 22
 
2.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
7.6%
식 24
 
3.8%
푸 23
 
3.6%
드 23
 
3.6%
사 22
 
3.5%
에 19
 
3.0%
회 17
 
2.7%
수 17
 
2.7%
제 16
 
2.5%
씨 15
 
2.4%
Other values (164) 407
64.5%
Uppercase Letter
ValueCountFrequency (%)
E 7
19.4%
O 6
16.7%
F 6
16.7%
C 5
13.9%
H 2
 
5.6%
D 2
 
5.6%
S 1
 
2.8%
G 1
 
2.8%
N 1
 
2.8%
T 1
 
2.8%
Other values (4) 4
11.1%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 631
82.8%
Common 95
 
12.5%
Latin 36
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
7.6%
식 24
 
3.8%
푸 23
 
3.6%
드 23
 
3.6%
사 22
 
3.5%
에 19
 
3.0%
회 17
 
2.7%
수 17
 
2.7%
제 16
 
2.5%
씨 15
 
2.4%
Other values (164) 407
64.5%
Latin
ValueCountFrequency (%)
E 7
19.4%
O 6
16.7%
F 6
16.7%
C 5
13.9%
H 2
 
5.6%
D 2
 
5.6%
S 1
 
2.8%
G 1
 
2.8%
N 1
 
2.8%
T 1
 
2.8%
Other values (4) 4
11.1%
Common
ValueCountFrequency (%)
( 36
37.9%
) 36
37.9%
22
23.2%
& 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
82.8%
ASCII 131
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
7.6%
식 24
 
3.8%
푸 23
 
3.6%
드 23
 
3.6%
사 22
 
3.5%
에 19
 
3.0%
회 17
 
2.7%
수 17
 
2.7%
제 16
 
2.5%
씨 15
 
2.4%
Other values (164) 407
64.5%
ASCII
ValueCountFrequency (%)
( 36
27.5%
) 36
27.5%
22
16.8%
E 7
 
5.3%
O 6
 
4.6%
F 6
 
4.6%
C 5
 
3.8%
H 2
 
1.5%
D 2
 
1.5%
S 1
 
0.8%
Other values (8) 8
 
6.1%

소재지(도로명)
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-28T22:03:34.217995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length33.405941
Min length20

Characters and Unicode

Total characters3374
Distinct characters113
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 아암대로 20 (신흥동3가)
2nd row인천광역시 중구 축항대로 50 (항동7가)
3rd row인천광역시 중구 월미로 116 (북성동1가)
4th row인천광역시 중구 서해대로140번길 49 (신흥동3가)
5th row인천광역시 중구 축항대로87번길 30 (항동7가)
ValueCountFrequency (%)
인천광역시 101
 
16.0%
중구 101
 
16.0%
항동7가 52
 
8.2%
1층 28
 
4.4%
신흥동3가 21
 
3.3%
2층 21
 
3.3%
연안부두로107번길 19
 
3.0%
축항대로296번길 11
 
1.7%
연안부두로75번길 10
 
1.6%
34 10
 
1.6%
Other values (168) 257
40.7%
2024-01-28T22:03:34.509588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
530
 
15.7%
1 147
 
4.4%
동 122
 
3.6%
인 109
 
3.2%
중 105
 
3.1%
( 105
 
3.1%
) 105
 
3.1%
천 104
 
3.1%
시 101
 
3.0%
역 101
 
3.0%
Other values (103) 1845
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1823
54.0%
Decimal Number 669
 
19.8%
Space Separator 530
 
15.7%
Open Punctuation 105
 
3.1%
Close Punctuation 105
 
3.1%
Other Punctuation 95
 
2.8%
Dash Punctuation 32
 
0.9%
Math Symbol 11
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 122
 
6.7%
인 109
 
6.0%
중 105
 
5.8%
천 104
 
5.7%
시 101
 
5.5%
역 101
 
5.5%
구 101
 
5.5%
광 101
 
5.5%
로 100
 
5.5%
가 86
 
4.7%
Other values (83) 793
43.5%
Decimal Number
ValueCountFrequency (%)
1 147
22.0%
2 95
14.2%
7 95
14.2%
3 81
12.1%
0 51
 
7.6%
4 51
 
7.6%
6 48
 
7.2%
5 43
 
6.4%
9 35
 
5.2%
8 23
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
D 1
25.0%
B 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
530
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1823
54.0%
Common 1547
45.9%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 122
 
6.7%
인 109
 
6.0%
중 105
 
5.8%
천 104
 
5.7%
시 101
 
5.5%
역 101
 
5.5%
구 101
 
5.5%
광 101
 
5.5%
로 100
 
5.5%
가 86
 
4.7%
Other values (83) 793
43.5%
Common
ValueCountFrequency (%)
530
34.3%
1 147
 
9.5%
( 105
 
6.8%
) 105
 
6.8%
2 95
 
6.1%
7 95
 
6.1%
, 95
 
6.1%
3 81
 
5.2%
0 51
 
3.3%
4 51
 
3.3%
Other values (6) 192
 
12.4%
Latin
ValueCountFrequency (%)
K 1
25.0%
D 1
25.0%
B 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1823
54.0%
ASCII 1551
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
530
34.2%
1 147
 
9.5%
( 105
 
6.8%
) 105
 
6.8%
2 95
 
6.1%
7 95
 
6.1%
, 95
 
6.1%
3 81
 
5.2%
0 51
 
3.3%
4 51
 
3.3%
Other values (10) 196
 
12.6%
Hangul
ValueCountFrequency (%)
동 122
 
6.7%
인 109
 
6.0%
중 105
 
5.8%
천 104
 
5.7%
시 101
 
5.5%
역 101
 
5.5%
구 101
 
5.5%
광 101
 
5.5%
로 100
 
5.5%
가 86
 
4.7%
Other values (83) 793
43.5%

소재지전화
Text

MISSING 

Distinct76
Distinct (%)100.0%
Missing25
Missing (%)24.8%
Memory size940.0 B
2024-01-28T22:03:34.738748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.078947
Min length11

Characters and Unicode

Total characters918
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

Unique76 ?
Unique (%)100.0%

Sample

1st row032-890-9340
2nd row032-890-4626
3rd row032-770-1504
4th row032-890-9544
5th row032-890-9515
ValueCountFrequency (%)
032-889-2265 1
 
1.3%
032-891-5611 1
 
1.3%
032-822-4949 1
 
1.3%
032-773-9995 1
 
1.3%
032-777-3998 1
 
1.3%
032-761-8889 1
 
1.3%
032-881-8424 1
 
1.3%
032-887-8803 1
 
1.3%
032-888-3399 1
 
1.3%
032-886-9909 1
 
1.3%
Other values (66) 66
86.8%
2024-01-28T22:03:35.091050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 152
16.6%
8 129
14.1%
0 125
13.6%
2 112
12.2%
3 95
10.3%
9 69
7.5%
7 67
7.3%
1 52
 
5.7%
4 44
 
4.8%
6 40
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 766
83.4%
Dash Punctuation 152
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 129
16.8%
0 125
16.3%
2 112
14.6%
3 95
12.4%
9 69
9.0%
7 67
8.7%
1 52
6.8%
4 44
 
5.7%
6 40
 
5.2%
5 33
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 918
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 152
16.6%
8 129
14.1%
0 125
13.6%
2 112
12.2%
3 95
10.3%
9 69
7.5%
7 67
7.3%
1 52
 
5.7%
4 44
 
4.8%
6 40
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 152
16.6%
8 129
14.1%
0 125
13.6%
2 112
12.2%
3 95
10.3%
9 69
7.5%
7 67
7.3%
1 52
 
5.7%
4 44
 
4.8%
6 40
 
4.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-07-06
101 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-06
2nd row2023-07-06
3rd row2023-07-06
4th row2023-07-06
5th row2023-07-06

Common Values

ValueCountFrequency (%)
2023-07-06 101
100.0%

Length

2024-01-28T22:03:35.204633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:03:35.277998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-06 101
100.0%

Correlations

2024-01-28T22:03:35.325738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지전화
업소명1.0001.000
소재지전화1.0001.000

Missing values

2024-01-28T22:03:33.484813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:03:33.572607image/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

업소명소재지(도로명)소재지전화데이터기준일자
0씨제이제일제당(주)인천광역시 중구 아암대로 20 (신흥동3가)032-890-93402023-07-06
1수협인천가공물류센터인천광역시 중구 축항대로 50 (항동7가)032-890-46262023-07-06
2대한제당(주)인천광역시 중구 월미로 116 (북성동1가)032-770-15042023-07-06
3씨제이제일제당(주)인천광역시 중구 서해대로140번길 49 (신흥동3가)032-890-95442023-07-06
4씨제이제일제당(주)인천광역시 중구 축항대로87번길 30 (항동7가)032-890-95152023-07-06
5대한제분(주)인천광역시 중구 월미로 50 (북성동1가)032-770-33002023-07-06
6삼양사인천광역시 중구 축항대로290번길 121 (신흥동3가)032-880-81142023-07-06
7씨제이제일제당(주)인천광역시 중구 서해대로 168 (신흥동3가)032-890-99282023-07-06
8인천시수산업협동조합인천광역시 중구 축항대로22번길 39 (북성동1가)032-885-53092023-07-06
9일해냉동인천광역시 중구 연안부두로 16 (항동7가)032-889-22652023-07-06
업소명소재지(도로명)소재지전화데이터기준일자
91젓갈나라(호남젓갈창고)인천광역시 중구 축항대로 79, 4층, 5층(일부) (항동7가)<NA>2023-07-06
92축지에프에스 주식회사인천광역시 중구 연안부두로107번길 19-8, 3층 (항동7가)032-212-02462023-07-06
93거성T&F인천광역시 중구 연안부두로107번길 23, 1층 (항동7가)<NA>2023-07-06
94주식회사 에프엠푸드인천광역시 중구 연안부두로107번길 20-6, 1층, 2층 (항동7가)<NA>2023-07-06
95(주)녹색에너지기술인천광역시 중구 축항대로296번길 60-38, 1층 (신흥동3가)<NA>2023-07-06
96(주)케이에스수산인천광역시 중구 서해대로 103, C동 2층 (항동7가)032-886-59922023-07-06
97(주)해달씨푸드인천광역시 중구 연안부두로107번길 15-2, 2층 (항동7가)<NA>2023-07-06
98해찬솔식품인천광역시 중구 서해대로458번길 8, 1층 (신흥동2가)<NA>2023-07-06
99최양반인천광역시 중구 참외전로33번길 14, 1층 (송월동1가)<NA>2023-07-06
100(주)미소랑인천광역시 중구 연안부두로107번길 34, 2동 1층 일부 (항동7가)032-889-77122023-07-06