Overview

Dataset statistics

Number of variables6
Number of observations131
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory49.0 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description인천광역시 서구 동물 미용업체의 사업장명칭, 소재지주소, 데이터 기준일자, 데이터 담당 부서, 부서 전화번호 등의 데이터를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15084779&srcSe=7661IVAWM27C61E190

Alerts

구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
데이터담당부서 has constant value ""Constant
부서전화번호 has constant value ""Constant
소재지주소 has unique valuesUnique

Reproduction

Analysis started2024-04-22 00:02:26.004116
Analysis finished2024-04-22 00:02:26.409935
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
동물 ( 미용 )
131 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동물 ( 미용 )
2nd row동물 ( 미용 )
3rd row동물 ( 미용 )
4th row동물 ( 미용 )
5th row동물 ( 미용 )

Common Values

ValueCountFrequency (%)
동물 ( 미용 ) 131
100.0%

Length

2024-04-22T09:02:26.473579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:02:26.551695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
262
50.0%
동물 131
25.0%
미용 131
25.0%

사업장명칭
Text

Distinct128
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T09:02:26.772254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.6946565
Min length2

Characters and Unicode

Total characters746
Distinct characters235
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

Unique125 ?
Unique (%)95.4%

Sample

1st row스퀘어독스
2nd row오펫
3rd row놀아주시개
4th row꽃길 걷는 고양이
5th row푸들리
ValueCountFrequency (%)
고양이 4
 
2.2%
루이펫살롱 2
 
1.1%
댕댕살롱 2
 
1.1%
단아하개 2
 
1.1%
동물병원 2
 
1.1%
쿨펫동물병원 2
 
1.1%
인천점 2
 
1.1%
펫살롱 2
 
1.1%
아시아드점 1
 
0.6%
비비나인 1
 
0.6%
Other values (159) 159
88.8%
2024-04-22T09:02:27.145526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
6.4%
이 25
 
3.4%
개 23
 
3.1%
동 19
 
2.5%
물 18
 
2.4%
아 17
 
2.3%
스 16
 
2.1%
원 16
 
2.1%
리 15
 
2.0%
그 15
 
2.0%
Other values (225) 534
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 649
87.0%
Space Separator 48
 
6.4%
Lowercase Letter 24
 
3.2%
Uppercase Letter 13
 
1.7%
Other Punctuation 6
 
0.8%
Decimal Number 5
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 25
 
3.9%
개 23
 
3.5%
동 19
 
2.9%
물 18
 
2.8%
아 17
 
2.6%
스 16
 
2.5%
원 16
 
2.5%
리 15
 
2.3%
그 15
 
2.3%
루 15
 
2.3%
Other values (193) 470
72.4%
Lowercase Letter
ValueCountFrequency (%)
i 3
12.5%
n 3
12.5%
o 3
12.5%
t 2
8.3%
s 2
8.3%
u 2
8.3%
e 2
8.3%
g 2
8.3%
r 1
 
4.2%
m 1
 
4.2%
Other values (3) 3
12.5%
Uppercase Letter
ValueCountFrequency (%)
O 4
30.8%
J 2
15.4%
Z 1
 
7.7%
H 1
 
7.7%
B 1
 
7.7%
P 1
 
7.7%
G 1
 
7.7%
T 1
 
7.7%
D 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
# 1
 
16.7%
. 1
 
16.7%
' 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
5 1
20.0%
2 1
20.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 649
87.0%
Common 60
 
8.0%
Latin 37
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 25
 
3.9%
개 23
 
3.5%
동 19
 
2.9%
물 18
 
2.8%
아 17
 
2.6%
스 16
 
2.5%
원 16
 
2.5%
리 15
 
2.3%
그 15
 
2.3%
루 15
 
2.3%
Other values (193) 470
72.4%
Latin
ValueCountFrequency (%)
O 4
 
10.8%
i 3
 
8.1%
n 3
 
8.1%
o 3
 
8.1%
J 2
 
5.4%
t 2
 
5.4%
s 2
 
5.4%
u 2
 
5.4%
e 2
 
5.4%
g 2
 
5.4%
Other values (12) 12
32.4%
Common
ValueCountFrequency (%)
48
80.0%
, 3
 
5.0%
8 2
 
3.3%
# 1
 
1.7%
. 1
 
1.7%
- 1
 
1.7%
5 1
 
1.7%
2 1
 
1.7%
1 1
 
1.7%
' 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 649
87.0%
ASCII 97
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
49.5%
O 4
 
4.1%
i 3
 
3.1%
n 3
 
3.1%
, 3
 
3.1%
o 3
 
3.1%
J 2
 
2.1%
t 2
 
2.1%
8 2
 
2.1%
s 2
 
2.1%
Other values (22) 25
25.8%
Hangul
ValueCountFrequency (%)
이 25
 
3.9%
개 23
 
3.5%
동 19
 
2.9%
물 18
 
2.8%
아 17
 
2.6%
스 16
 
2.5%
원 16
 
2.5%
리 15
 
2.3%
그 15
 
2.3%
루 15
 
2.3%
Other values (193) 470
72.4%

소재지주소
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-22T09:02:27.377661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length34.389313
Min length21

Characters and Unicode

Total characters4505
Distinct characters215
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 담지로8번길 13, 1층 (연희동)
2nd row인천광역시 서구 승학로 584, 힘찬프라자 105호 (검암동)
3rd row인천광역시 서구 건지로 391, 2,3층 (가좌동)
4th row인천광역시 서구 염곡로498번안길 11-3, 102호 (가정동)
5th row인천광역시 서구 심곡로 130, 101호 (심곡동)
ValueCountFrequency (%)
인천광역시 131
 
14.9%
서구 131
 
14.9%
1층 34
 
3.9%
청라동 33
 
3.7%
101호 14
 
1.6%
가좌동 11
 
1.2%
석남동 10
 
1.1%
2층 10
 
1.1%
심곡동 10
 
1.1%
원당동 10
 
1.1%
Other values (322) 488
55.3%
2024-04-22T09:02:27.749197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
751
 
16.7%
1 221
 
4.9%
서 145
 
3.2%
동 145
 
3.2%
시 139
 
3.1%
인 136
 
3.0%
로 135
 
3.0%
천 134
 
3.0%
, 132
 
2.9%
광 132
 
2.9%
Other values (205) 2435
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2510
55.7%
Decimal Number 795
 
17.6%
Space Separator 751
 
16.7%
Other Punctuation 132
 
2.9%
Close Punctuation 131
 
2.9%
Open Punctuation 131
 
2.9%
Dash Punctuation 30
 
0.7%
Uppercase Letter 19
 
0.4%
Math Symbol 4
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 145
 
5.8%
동 145
 
5.8%
시 139
 
5.5%
인 136
 
5.4%
로 135
 
5.4%
천 134
 
5.3%
광 132
 
5.3%
구 131
 
5.2%
역 131
 
5.2%
라 86
 
3.4%
Other values (182) 1196
47.6%
Decimal Number
ValueCountFrequency (%)
1 221
27.8%
0 108
13.6%
2 101
12.7%
3 76
 
9.6%
8 68
 
8.6%
4 58
 
7.3%
7 43
 
5.4%
6 43
 
5.4%
5 39
 
4.9%
9 38
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 12
63.2%
C 2
 
10.5%
A 2
 
10.5%
M 2
 
10.5%
K 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
751
100.0%
Other Punctuation
ValueCountFrequency (%)
, 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2510
55.7%
Common 1974
43.8%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 145
 
5.8%
동 145
 
5.8%
시 139
 
5.5%
인 136
 
5.4%
로 135
 
5.4%
천 134
 
5.3%
광 132
 
5.3%
구 131
 
5.2%
역 131
 
5.2%
라 86
 
3.4%
Other values (182) 1196
47.6%
Common
ValueCountFrequency (%)
751
38.0%
1 221
 
11.2%
, 132
 
6.7%
) 131
 
6.6%
( 131
 
6.6%
0 108
 
5.5%
2 101
 
5.1%
3 76
 
3.9%
8 68
 
3.4%
4 58
 
2.9%
Other values (6) 197
 
10.0%
Latin
ValueCountFrequency (%)
B 12
57.1%
C 2
 
9.5%
A 2
 
9.5%
M 2
 
9.5%
K 1
 
4.8%
b 1
 
4.8%
e 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2510
55.7%
ASCII 1995
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
751
37.6%
1 221
 
11.1%
, 132
 
6.6%
) 131
 
6.6%
( 131
 
6.6%
0 108
 
5.4%
2 101
 
5.1%
3 76
 
3.8%
8 68
 
3.4%
4 58
 
2.9%
Other values (13) 218
 
10.9%
Hangul
ValueCountFrequency (%)
서 145
 
5.8%
동 145
 
5.8%
시 139
 
5.5%
인 136
 
5.4%
로 135
 
5.4%
천 134
 
5.3%
광 132
 
5.3%
구 131
 
5.2%
역 131
 
5.2%
라 86
 
3.4%
Other values (182) 1196
47.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-07-04 00:00:00
Maximum2023-07-04 00:00:00
2024-04-22T09:02:27.847944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:02:27.925748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
경제정책과
131 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경제정책과 131
100.0%

Length

2024-04-22T09:02:28.229147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:02:28.320807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경제정책과 131
100.0%

부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
032-560-1904
131 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-560-1904
2nd row032-560-1904
3rd row032-560-1904
4th row032-560-1904
5th row032-560-1904

Common Values

ValueCountFrequency (%)
032-560-1904 131
100.0%

Length

2024-04-22T09:02:28.406747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:02:28.489887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-560-1904 131
100.0%

Missing values

2024-04-22T09:02:26.271918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T09:02:26.365746image/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

구분사업장명칭소재지주소데이터기준일자데이터담당부서부서전화번호
0동물 ( 미용 )스퀘어독스인천광역시 서구 담지로8번길 13, 1층 (연희동)2023-07-04경제정책과032-560-1904
1동물 ( 미용 )오펫인천광역시 서구 승학로 584, 힘찬프라자 105호 (검암동)2023-07-04경제정책과032-560-1904
2동물 ( 미용 )놀아주시개인천광역시 서구 건지로 391, 2,3층 (가좌동)2023-07-04경제정책과032-560-1904
3동물 ( 미용 )꽃길 걷는 고양이인천광역시 서구 염곡로498번안길 11-3, 102호 (가정동)2023-07-04경제정책과032-560-1904
4동물 ( 미용 )푸들리인천광역시 서구 심곡로 130, 101호 (심곡동)2023-07-04경제정책과032-560-1904
5동물 ( 미용 )아지랑양이인천광역시 서구 서곶로 870, 1층 (마전동, 한성빌딩)2023-07-04경제정책과032-560-1904
6동물 ( 미용 )도그반하다인천광역시 서구 승학로 470, 106호 (검암동)2023-07-04경제정책과032-560-1904
7동물 ( 미용 )Just Grooming인천광역시 서구 청라커낼로288번길 8-10, 청라 봄 빌딩 B108호 (경서동)2023-07-04경제정책과032-560-1904
8동물 ( 미용 )동물에반하다동물병원인천광역시 서구 크리스탈로102번길 22, 101호 (경서동)2023-07-04경제정책과032-560-1904
9동물 ( 미용 )헤이도그인천광역시 서구 청라루비로144번길 6-4, 103호 (경서동)2023-07-04경제정책과032-560-1904
구분사업장명칭소재지주소데이터기준일자데이터담당부서부서전화번호
121동물 ( 미용 )개신사인천광역시 서구 푸른로14번길 11, 제이에이치타운 101호 (청라동)2023-07-04경제정책과032-560-1904
122동물 ( 미용 )라라몽인천광역시 서구 장고개로337번길 18-3, 영프라자 107호 (가좌동)2023-07-04경제정책과032-560-1904
123동물 ( 미용 )토토펫살롱인천광역시 서구 율도로 104 (석남동)2023-07-04경제정책과032-560-1904
124동물 ( 미용 )단정하개인천광역시 서구 이음5로 20, 연세프라자8차 3층 308호 (원당동)2023-07-04경제정책과032-560-1904
125동물 ( 미용 )예뿌댕인천광역시 서구 서곶로 120, B1층 239호 (가정동, 포레나 루원시티)2023-07-04경제정책과032-560-1904
126동물 ( 미용 )그루밍시즌인천광역시 서구 승학로 580, 은혜프라자 3층 (검암동)2023-07-04경제정책과032-560-1904
127동물 ( 미용 )몽블링인천광역시 서구 심곡로 133, 대동상가 104호 (심곡동)2023-07-04경제정책과032-560-1904
128동물 ( 미용 )도그-in 하우스인천광역시 서구 승학로599번길 57 (검암동)2023-07-04경제정책과032-560-1904
129동물 ( 미용 )빛이나개인천광역시 서구 검단로 748, 일번지프라자 312-1호 (불로동)2023-07-04경제정책과032-560-1904
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