Overview

Dataset statistics

Number of variables4
Number of observations36
Missing cells27
Missing cells (%)18.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory35.7 B

Variable types

Categorical1
Text3

Dataset

Description인천광역시 부평구 동물 위탁관리업체 현황 데이터입니다.(종류,사업장명칭,소재지주소(도로명),소재지전화)ex) 위탁관리,릴리네 애견미용실,인천광역시 부평구 경인로1118번길 38-14, 1층 (일신동),
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15089243

Alerts

종류 has constant value ""Constant
소재지전화 has 27 (75.0%) missing valuesMissing
사업장명칭 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:56:03.516937
Analysis finished2024-01-28 07:56:03.792171
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
위탁관리
36 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁관리 36
100.0%

Length

2024-01-28T16:56:03.852554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:56:03.934044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁관리 36
100.0%

사업장명칭
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-01-28T16:56:04.108243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11.5
Mean length6.2777778
Min length2

Characters and Unicode

Total characters226
Distinct characters112
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

Unique36 ?
Unique (%)100.0%

Sample

1st row아트펫
2nd row빛나라 퍼피
3rd row땡큐독
4th row짱구네 동물병원
5th row이쁜 강아지
ValueCountFrequency (%)
뷰티나개 2
 
3.5%
동물병원 2
 
3.5%
강아지 2
 
3.5%
애견유치원 2
 
3.5%
누리 1
 
1.8%
집합소 1
 
1.8%
아리's 1
 
1.8%
dog 1
 
1.8%
뛰뛰 1
 
1.8%
놀이터 1
 
1.8%
Other values (43) 43
75.4%
2024-01-28T16:56:04.428417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
9.3%
이 13
 
5.8%
댕 10
 
4.4%
개 7
 
3.1%
스 6
 
2.7%
아 6
 
2.7%
펫 5
 
2.2%
리 5
 
2.2%
원 4
 
1.8%
독 4
 
1.8%
Other values (102) 145
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
85.0%
Space Separator 21
 
9.3%
Lowercase Letter 8
 
3.5%
Other Punctuation 2
 
0.9%
Uppercase Letter 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
6.8%
댕 10
 
5.2%
개 7
 
3.6%
스 6
 
3.1%
아 6
 
3.1%
펫 5
 
2.6%
리 5
 
2.6%
원 4
 
2.1%
독 4
 
2.1%
멍 4
 
2.1%
Other values (93) 128
66.7%
Lowercase Letter
ValueCountFrequency (%)
g 2
25.0%
o 2
25.0%
d 2
25.0%
s 2
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
85.0%
Common 25
 
11.1%
Latin 9
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
6.8%
댕 10
 
5.2%
개 7
 
3.6%
스 6
 
3.1%
아 6
 
3.1%
펫 5
 
2.6%
리 5
 
2.6%
원 4
 
2.1%
독 4
 
2.1%
멍 4
 
2.1%
Other values (93) 128
66.7%
Latin
ValueCountFrequency (%)
g 2
22.2%
o 2
22.2%
d 2
22.2%
s 2
22.2%
A 1
11.1%
Common
ValueCountFrequency (%)
21
84.0%
' 2
 
8.0%
) 1
 
4.0%
( 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
85.0%
ASCII 34
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
61.8%
' 2
 
5.9%
g 2
 
5.9%
o 2
 
5.9%
d 2
 
5.9%
s 2
 
5.9%
A 1
 
2.9%
) 1
 
2.9%
( 1
 
2.9%
Hangul
ValueCountFrequency (%)
이 13
 
6.8%
댕 10
 
5.2%
개 7
 
3.6%
스 6
 
3.1%
아 6
 
3.1%
펫 5
 
2.6%
리 5
 
2.6%
원 4
 
2.1%
독 4
 
2.1%
멍 4
 
2.1%
Other values (93) 128
66.7%

소재지주소(도로명)
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-01-28T16:56:04.652339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37.5
Mean length32.5
Min length23

Characters and Unicode

Total characters1170
Distinct characters120
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

Unique36 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 영성중로 18, 삼산주공미래타운아파트상가동 102호 (삼산동)
2nd row인천광역시 부평구 주부토로262번길 1, 2층 (갈산동)
3rd row인천광역시 부평구 주부토로 50 (부평동)
4th row인천광역시 부평구 평천로 356, 민상빌딩 (갈산동)
5th row인천광역시 부평구 경인로1104번길 31 (일신동)
ValueCountFrequency (%)
인천광역시 36
 
15.3%
부평구 36
 
15.3%
부평동 13
 
5.5%
2층 8
 
3.4%
산곡동 6
 
2.6%
갈산동 5
 
2.1%
3층 5
 
2.1%
삼산동 4
 
1.7%
부개동 4
 
1.7%
102호 3
 
1.3%
Other values (103) 115
48.9%
2024-01-28T16:56:05.355698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
17.0%
부 64
 
5.5%
평 56
 
4.8%
1 47
 
4.0%
동 41
 
3.5%
천 40
 
3.4%
인 38
 
3.2%
시 38
 
3.2%
구 37
 
3.2%
로 37
 
3.2%
Other values (110) 573
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 673
57.5%
Space Separator 199
 
17.0%
Decimal Number 177
 
15.1%
Open Punctuation 36
 
3.1%
Close Punctuation 36
 
3.1%
Other Punctuation 36
 
3.1%
Dash Punctuation 8
 
0.7%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 64
 
9.5%
평 56
 
8.3%
동 41
 
6.1%
천 40
 
5.9%
인 38
 
5.6%
시 38
 
5.6%
구 37
 
5.5%
로 37
 
5.5%
광 36
 
5.3%
역 36
 
5.3%
Other values (89) 250
37.1%
Decimal Number
ValueCountFrequency (%)
1 47
26.6%
2 28
15.8%
4 20
11.3%
6 17
 
9.6%
0 17
 
9.6%
3 16
 
9.0%
5 15
 
8.5%
9 7
 
4.0%
7 7
 
4.0%
8 3
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
P 1
20.0%
T 1
20.0%
S 1
20.0%
M 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 35
97.2%
. 1
 
2.8%
Space Separator
ValueCountFrequency (%)
199
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 673
57.5%
Common 492
42.1%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 64
 
9.5%
평 56
 
8.3%
동 41
 
6.1%
천 40
 
5.9%
인 38
 
5.6%
시 38
 
5.6%
구 37
 
5.5%
로 37
 
5.5%
광 36
 
5.3%
역 36
 
5.3%
Other values (89) 250
37.1%
Common
ValueCountFrequency (%)
199
40.4%
1 47
 
9.6%
( 36
 
7.3%
) 36
 
7.3%
, 35
 
7.1%
2 28
 
5.7%
4 20
 
4.1%
6 17
 
3.5%
0 17
 
3.5%
3 16
 
3.3%
Other values (6) 41
 
8.3%
Latin
ValueCountFrequency (%)
A 1
20.0%
P 1
20.0%
T 1
20.0%
S 1
20.0%
M 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 673
57.5%
ASCII 497
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
40.0%
1 47
 
9.5%
( 36
 
7.2%
) 36
 
7.2%
, 35
 
7.0%
2 28
 
5.6%
4 20
 
4.0%
6 17
 
3.4%
0 17
 
3.4%
3 16
 
3.2%
Other values (11) 46
 
9.3%
Hangul
ValueCountFrequency (%)
부 64
 
9.5%
평 56
 
8.3%
동 41
 
6.1%
천 40
 
5.9%
인 38
 
5.6%
시 38
 
5.6%
구 37
 
5.5%
로 37
 
5.5%
광 36
 
5.3%
역 36
 
5.3%
Other values (89) 250
37.1%

소재지전화
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing27
Missing (%)75.0%
Memory size420.0 B
2024-01-28T16:56:05.498098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.111111
Min length12

Characters and Unicode

Total characters109
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

Unique9 ?
Unique (%)100.0%

Sample

1st row032-511-5515
2nd row032-511-1205
3rd row070-7808-9303
4th row032-511-5371
5th row032-516-2655
ValueCountFrequency (%)
032-511-5515 1
11.1%
032-511-1205 1
11.1%
070-7808-9303 1
11.1%
032-511-5371 1
11.1%
032-516-2655 1
11.1%
032-503-2211 1
11.1%
032-710-6402 1
11.1%
032-362-7976 1
11.1%
032-223-3000 1
11.1%
2024-01-28T16:56:05.752363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
17.4%
- 18
16.5%
2 16
14.7%
3 15
13.8%
1 13
11.9%
5 12
11.0%
7 6
 
5.5%
6 5
 
4.6%
8 2
 
1.8%
9 2
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 91
83.5%
Dash Punctuation 18
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
20.9%
2 16
17.6%
3 15
16.5%
1 13
14.3%
5 12
13.2%
7 6
 
6.6%
6 5
 
5.5%
8 2
 
2.2%
9 2
 
2.2%
4 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
17.4%
- 18
16.5%
2 16
14.7%
3 15
13.8%
1 13
11.9%
5 12
11.0%
7 6
 
5.5%
6 5
 
4.6%
8 2
 
1.8%
9 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
17.4%
- 18
16.5%
2 16
14.7%
3 15
13.8%
1 13
11.9%
5 12
11.0%
7 6
 
5.5%
6 5
 
4.6%
8 2
 
1.8%
9 2
 
1.8%

Correlations

2024-01-28T16:56:05.876397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭소재지주소(도로명)소재지전화
사업장명칭1.0001.0001.000
소재지주소(도로명)1.0001.0001.000
소재지전화1.0001.0001.000

Missing values

2024-01-28T16:56:03.698852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:56:03.765048image/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

종류사업장명칭소재지주소(도로명)소재지전화
0위탁관리아트펫인천광역시 부평구 영성중로 18, 삼산주공미래타운아파트상가동 102호 (삼산동)<NA>
1위탁관리빛나라 퍼피인천광역시 부평구 주부토로262번길 1, 2층 (갈산동)<NA>
2위탁관리땡큐독인천광역시 부평구 주부토로 50 (부평동)<NA>
3위탁관리짱구네 동물병원인천광역시 부평구 평천로 356, 민상빌딩 (갈산동)032-511-5515
4위탁관리이쁜 강아지인천광역시 부평구 경인로1104번길 31 (일신동)032-511-1205
5위탁관리고양이 바보인천광역시 부평구 길주남로 54, 2층 (부평동)070-7808-9303
6위탁관리청순하개인천광역시 부평구 장제로 45, 부평 현대 더로프트 131호 (부평동)<NA>
7위탁관리댕댕클라스인천광역시 부평구 마장로364번길 6, 3층 (청천동)<NA>
8위탁관리달과고양이인천광역시 부평구 주부토로 149, 2층 (갈산동)<NA>
9위탁관리해피댕댕이인천광역시 부평구 부평문화로 35, 모다백화점 7층 (부평동)<NA>
종류사업장명칭소재지주소(도로명)소재지전화
26위탁관리개린이 집합소인천광역시 부평구 원적로 407, 4층 (산곡동)<NA>
27위탁관리아틀리독인천광역시 부평구 함봉로36번길 22-44, 2층 (십정동)<NA>
28위탁관리멍라이프인천광역시 부평구 부흥로 264, 동아웰빙타운 11층 (부평동)<NA>
29위탁관리해피데이즈인천광역시 부평구 영성서로 2, 2층 (삼산동)<NA>
30위탁관리몽샤르망 애견유치원인천광역시 부평구 충선로 65-1, 3층 (부개동)<NA>
31위탁관리댓츠댕댕스쿨인천광역시 부평구 열우물로 117, 2층 (십정동)<NA>
32위탁관리뷰티나개 댕댕이 놀이방인천광역시 부평구 부일로 20-9, 휴안뷰 1층 102호 (부평동)<NA>
33위탁관리아 건인천광역시 부평구 길주남로 112, 1층 (부개동)<NA>
34위탁관리걱정마시개 애견유치원인천광역시 부평구 마장로 267, 서진빌딩 5층 (산곡동)<NA>
35위탁관리킹스키즈개린이집인천광역시 부평구 길주로 420-6 (산곡동)<NA>