Overview

Dataset statistics

Number of variables6
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.2%
Total size in memory4.1 KiB
Average record size in memory49.6 B

Variable types

Categorical3
Text2
DateTime1

Dataset

Description인천광역시 서구 동물위탁업에 대한 데이터로 사업장명칭, 소재지주소, 데이터담당부서 등의 정보가 포함되어 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15091147/fileData.do

Alerts

구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
데이터담당부서 has constant value ""Constant
부서전화번호 has constant value ""Constant
Dataset has 1 (1.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 02:14:57.257904
Analysis finished2023-12-12 02:14:58.184725
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
동물위탁관리업
84 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물위탁관리업 84
100.0%

Length

2023-12-12T11:14:58.282008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:14:58.388830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물위탁관리업 84
100.0%

사업장명칭
Text

Distinct82
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T11:14:58.669504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.0357143
Min length2

Characters and Unicode

Total characters507
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

Unique80 ?
Unique (%)95.2%

Sample

1st row스퀘어독스
2nd row오펫
3rd row놀아주시개
4th row도그반하다
5th row펫토피아
ValueCountFrequency (%)
핀 2
 
1.7%
고양이 2
 
1.7%
동물보육원 2
 
1.7%
털로 2
 
1.7%
덮인 2
 
1.7%
친구들 2
 
1.7%
독 2
 
1.7%
루이펫살롱 2
 
1.7%
개꿈호텔 1
 
0.9%
꿈꾸는개 1
 
0.9%
Other values (98) 98
84.5%
2023-12-12T11:14:59.099234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
6.3%
개 18
 
3.6%
이 15
 
3.0%
스 13
 
2.6%
아 12
 
2.4%
물 11
 
2.2%
원 11
 
2.2%
동 11
 
2.2%
펫 9
 
1.8%
인 8
 
1.6%
Other values (182) 367
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
86.0%
Space Separator 32
 
6.3%
Lowercase Letter 25
 
4.9%
Uppercase Letter 8
 
1.6%
Other Punctuation 5
 
1.0%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 18
 
4.1%
이 15
 
3.4%
스 13
 
3.0%
아 12
 
2.8%
물 11
 
2.5%
원 11
 
2.5%
동 11
 
2.5%
펫 9
 
2.1%
인 8
 
1.8%
그 8
 
1.8%
Other values (156) 320
73.4%
Lowercase Letter
ValueCountFrequency (%)
n 3
12.0%
i 3
12.0%
o 3
12.0%
s 3
12.0%
e 2
8.0%
u 2
8.0%
t 2
8.0%
g 2
8.0%
a 1
 
4.0%
m 1
 
4.0%
Other values (3) 3
12.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
12.5%
J 1
12.5%
H 1
12.5%
M 1
12.5%
T 1
12.5%
D 1
12.5%
B 1
12.5%
C 1
12.5%
Other Punctuation
ValueCountFrequency (%)
' 2
40.0%
, 2
40.0%
# 1
20.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
86.0%
Common 38
 
7.5%
Latin 33
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 18
 
4.1%
이 15
 
3.4%
스 13
 
3.0%
아 12
 
2.8%
물 11
 
2.5%
원 11
 
2.5%
동 11
 
2.5%
펫 9
 
2.1%
인 8
 
1.8%
그 8
 
1.8%
Other values (156) 320
73.4%
Latin
ValueCountFrequency (%)
n 3
 
9.1%
i 3
 
9.1%
o 3
 
9.1%
s 3
 
9.1%
e 2
 
6.1%
u 2
 
6.1%
t 2
 
6.1%
g 2
 
6.1%
a 1
 
3.0%
m 1
 
3.0%
Other values (11) 11
33.3%
Common
ValueCountFrequency (%)
32
84.2%
' 2
 
5.3%
, 2
 
5.3%
- 1
 
2.6%
# 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
86.0%
ASCII 71
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
45.1%
n 3
 
4.2%
i 3
 
4.2%
o 3
 
4.2%
s 3
 
4.2%
' 2
 
2.8%
e 2
 
2.8%
, 2
 
2.8%
u 2
 
2.8%
t 2
 
2.8%
Other values (16) 17
23.9%
Hangul
ValueCountFrequency (%)
개 18
 
4.1%
이 15
 
3.4%
스 13
 
3.0%
아 12
 
2.8%
물 11
 
2.5%
원 11
 
2.5%
동 11
 
2.5%
펫 9
 
2.1%
인 8
 
1.8%
그 8
 
1.8%
Other values (156) 320
73.4%

소재지주소
Text

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T11:14:59.379793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43.5
Mean length34.880952
Min length21

Characters and Unicode

Total characters2930
Distinct characters187
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

Unique82 ?
Unique (%)97.6%

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 승학로 470, 106호 (검암동)
5th row인천광역시 서구 청라커낼로 270 (경서동)
ValueCountFrequency (%)
인천광역시 84
 
14.6%
서구 84
 
14.6%
청라동 23
 
4.0%
1층 17
 
3.0%
2층 13
 
2.3%
원당동 7
 
1.2%
검암동 6
 
1.0%
3층 6
 
1.0%
103호 6
 
1.0%
101호 5
 
0.9%
Other values (226) 323
56.3%
2023-12-12T11:14:59.927839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
490
 
16.7%
1 136
 
4.6%
서 94
 
3.2%
동 90
 
3.1%
시 88
 
3.0%
인 87
 
3.0%
로 87
 
3.0%
광 85
 
2.9%
, 85
 
2.9%
천 85
 
2.9%
Other values (177) 1603
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1633
55.7%
Decimal Number 521
 
17.8%
Space Separator 490
 
16.7%
Other Punctuation 86
 
2.9%
Open Punctuation 84
 
2.9%
Close Punctuation 84
 
2.9%
Dash Punctuation 19
 
0.6%
Uppercase Letter 7
 
0.2%
Math Symbol 4
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 94
 
5.8%
동 90
 
5.5%
시 88
 
5.4%
인 87
 
5.3%
로 87
 
5.3%
광 85
 
5.2%
천 85
 
5.2%
구 84
 
5.1%
역 84
 
5.1%
라 66
 
4.0%
Other values (154) 783
47.9%
Decimal Number
ValueCountFrequency (%)
1 136
26.1%
0 74
14.2%
2 74
14.2%
8 46
 
8.8%
3 45
 
8.6%
6 31
 
6.0%
7 30
 
5.8%
4 29
 
5.6%
5 29
 
5.6%
9 27
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 1
 
14.3%
M 1
 
14.3%
F 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 85
98.8%
/ 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1633
55.7%
Common 1288
44.0%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 94
 
5.8%
동 90
 
5.5%
시 88
 
5.4%
인 87
 
5.3%
로 87
 
5.3%
광 85
 
5.2%
천 85
 
5.2%
구 84
 
5.1%
역 84
 
5.1%
라 66
 
4.0%
Other values (154) 783
47.9%
Common
ValueCountFrequency (%)
490
38.0%
1 136
 
10.6%
, 85
 
6.6%
( 84
 
6.5%
) 84
 
6.5%
0 74
 
5.7%
2 74
 
5.7%
8 46
 
3.6%
3 45
 
3.5%
6 31
 
2.4%
Other values (7) 139
 
10.8%
Latin
ValueCountFrequency (%)
B 4
44.4%
A 1
 
11.1%
M 1
 
11.1%
F 1
 
11.1%
e 1
 
11.1%
b 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1633
55.7%
ASCII 1297
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
490
37.8%
1 136
 
10.5%
, 85
 
6.6%
( 84
 
6.5%
) 84
 
6.5%
0 74
 
5.7%
2 74
 
5.7%
8 46
 
3.5%
3 45
 
3.5%
6 31
 
2.4%
Other values (13) 148
 
11.4%
Hangul
ValueCountFrequency (%)
서 94
 
5.8%
동 90
 
5.5%
시 88
 
5.4%
인 87
 
5.3%
로 87
 
5.3%
광 85
 
5.2%
천 85
 
5.2%
구 84
 
5.1%
역 84
 
5.1%
라 66
 
4.0%
Other values (154) 783
47.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2023-10-17 00:00:00
Maximum2023-10-17 00:00:00
2023-12-12T11:15:00.125127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:15:00.282100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
경제정책과
84 

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 84
100.0%

Length

2023-12-12T11:15:00.422778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:15:00.550214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경제정책과 84
100.0%

부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
032-560-1904
84 

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 84
100.0%

Length

2023-12-12T11:15:00.687108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:15:00.835670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-560-1904 84
100.0%

Correlations

2023-12-12T11:15:00.937086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭소재지주소
사업장명칭1.0001.000
소재지주소1.0001.000

Missing values

2023-12-12T11:14:57.997100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:14:58.132402image/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
0동물위탁관리업스퀘어독스인천광역시 서구 담지로8번길 13, 1층 (연희동)2023-10-17경제정책과032-560-1904
1동물위탁관리업오펫인천광역시 서구 승학로 584, 힘찬프라자 105호 (검암동)2023-10-17경제정책과032-560-1904
2동물위탁관리업놀아주시개인천광역시 서구 건지로 391, 2,3층 (가좌동)2023-10-17경제정책과032-560-1904
3동물위탁관리업도그반하다인천광역시 서구 승학로 470, 106호 (검암동)2023-10-17경제정책과032-560-1904
4동물위탁관리업펫토피아인천광역시 서구 청라커낼로 270 (경서동)2023-10-17경제정책과032-560-1904
5동물위탁관리업Just Grooming인천광역시 서구 청라커낼로288번길 8-10, 청라 봄 빌딩 B108호 (경서동)2023-10-17경제정책과032-560-1904
6동물위탁관리업동물에반하다동물병원인천광역시 서구 크리스탈로102번길 22, 101호 (경서동)2023-10-17경제정책과032-560-1904
7동물위탁관리업헤이도그인천광역시 서구 청라루비로144번길 6-4, 103호 (경서동)2023-10-17경제정책과032-560-1904
8동물위탁관리업으르렁인천광역시 서구 승학로 505, 4층 (검암동)2023-10-17경제정책과032-560-1904
9동물위탁관리업아리가독인천광역시 서구 신석로 52-1, 성림빌딩 (석남동)2023-10-17경제정책과032-560-1904
구분사업장명칭소재지주소데이터기준일자데이터담당부서부서전화번호
74동물위탁관리업털로 덮인 친구들 인천검단점인천광역시 서구 원당대로 1029, 검단 라페온빌 1차 306호 (원당동)2023-10-17경제정책과032-560-1904
75동물위탁관리업도로시지켜줄개인천광역시 서구 가현산로23번길 36 (마전동)2023-10-17경제정책과032-560-1904
76동물위탁관리업도그-in 하우스인천광역시 서구 승학로599번길 57 (검암동)2023-10-17경제정책과032-560-1904
77동물위탁관리업둥실둥실인천광역시 서구 대촌로 29, 2층 (오류동)2023-10-17경제정책과032-560-1904
78동물위탁관리업라피네 애견 스파인천광역시 서구 검단로 448, 검단e편한세상 아파트 상가 103-1호 (왕길동)2023-10-17경제정책과032-560-1904
79동물위탁관리업꿈꾸는개인천광역시 서구 새오개로111번안길 17, 2층 (신현동)2023-10-17경제정책과032-560-1904
80동물위탁관리업개꿈호텔인천광역시 서구 서곶로 50, 판매8동 2층 F/210호 (가정동, 루원시티 대성베르힐 더 센트로)2023-10-17경제정책과032-560-1904
81동물위탁관리업동물보육원 고양이 후원 카페인천광역시 서구 승학로287번길 2, 2층 (연희동)2023-10-17경제정책과032-560-1904
82동물위탁관리업댕그라밍인천광역시 서구 서곶로 788, 홀리랜드 1층 121호 (당하동)2023-10-17경제정책과032-560-1904
83동물위탁관리업견생낙원인천광역시 서구 이음대로 392, 메트로시티 613~615호 (원당동)2023-10-17경제정책과032-560-1904

Duplicate rows

Most frequently occurring

구분사업장명칭소재지주소데이터기준일자데이터담당부서부서전화번호# duplicates
0동물위탁관리업핀 독인천광역시 서구 이음5로 70, 새샘프라자 8층 801,802호 (원당동)2023-10-17경제정책과032-560-19042