Overview

Dataset statistics

Number of variables5
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.6 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 서구 관내 동물등록 대행업체 현황에 대한 데이터로 연번, 업소명, 사업장소재지, 전화번호 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102440&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
사업장소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:45:42.775310
Analysis finished2024-01-28 13:45:43.205470
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-01-28T22:45:43.261206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2024-01-28T22:45:43.385340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

업소명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-28T22:45:43.555484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length8.2972973
Min length5

Characters and Unicode

Total characters307
Distinct characters86
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

Unique37 ?
Unique (%)100.0%

Sample

1st row가온동물의료센터
2nd row가정동물병원
3rd row검단종합동물병원
4th row검암동물병원검암동물병원검암동물병원검암동물병원
5th row굿모닝동물병원
ValueCountFrequency (%)
동물병원 7
 
14.9%
가온동물의료센터 1
 
2.1%
쿨펫동물병원(마전동 1
 
2.1%
진현우동물병원 1
 
2.1%
쪼꼬동물메디컬센터 1
 
2.1%
청라공감동물병원 1
 
2.1%
청라종합동물병원 1
 
2.1%
청라라임동물병원 1
 
2.1%
청라루비 1
 
2.1%
청라호수동물메디컬센터 1
 
2.1%
Other values (31) 31
66.0%
2024-01-28T22:45:43.845567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 43
 
14.0%
물 41
 
13.4%
원 38
 
12.4%
병 36
 
11.7%
10
 
3.3%
이 7
 
2.3%
라 6
 
2.0%
검 5
 
1.6%
청 5
 
1.6%
암 4
 
1.3%
Other values (76) 112
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
94.5%
Space Separator 10
 
3.3%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Decimal Number 2
 
0.7%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
14.8%
물 41
14.1%
원 38
 
13.1%
병 36
 
12.4%
이 7
 
2.4%
라 6
 
2.1%
검 5
 
1.7%
청 5
 
1.7%
암 4
 
1.4%
하 4
 
1.4%
Other values (70) 101
34.8%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
94.5%
Common 16
 
5.2%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
14.8%
물 41
14.1%
원 38
 
13.1%
병 36
 
12.4%
이 7
 
2.4%
라 6
 
2.1%
검 5
 
1.7%
청 5
 
1.7%
암 4
 
1.4%
하 4
 
1.4%
Other values (70) 101
34.8%
Common
ValueCountFrequency (%)
10
62.5%
( 2
 
12.5%
) 2
 
12.5%
2 1
 
6.2%
4 1
 
6.2%
Latin
ValueCountFrequency (%)
J 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
94.5%
ASCII 17
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 43
14.8%
물 41
14.1%
원 38
 
13.1%
병 36
 
12.4%
이 7
 
2.4%
라 6
 
2.1%
검 5
 
1.7%
청 5
 
1.7%
암 4
 
1.4%
하 4
 
1.4%
Other values (70) 101
34.8%
ASCII
ValueCountFrequency (%)
10
58.8%
( 2
 
11.8%
) 2
 
11.8%
2 1
 
5.9%
4 1
 
5.9%
J 1
 
5.9%

사업장소재지
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-28T22:45:44.066650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length23
Min length16

Characters and Unicode

Total characters851
Distinct characters80
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

Unique37 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 염곡로464번길 15, 2층
2nd row인천광역시 서구 가정로 346
3rd row인천광역시 서구 완정로 7번길 1, 1층
4th row인천광역시 서구 승학로 512
5th row인천광역시 서구 가정로 246,203호
ValueCountFrequency (%)
인천광역시 37
19.7%
서구 37
19.7%
가정로 5
 
2.7%
1층 5
 
2.7%
2층 4
 
2.1%
원당대로 4
 
2.1%
서곶로 4
 
2.1%
승학로 3
 
1.6%
103호 3
 
1.6%
102 3
 
1.6%
Other values (78) 83
44.1%
2024-01-28T22:45:44.393049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
17.7%
1 46
 
5.4%
서 41
 
4.8%
시 38
 
4.5%
인 37
 
4.3%
광 37
 
4.3%
역 37
 
4.3%
구 37
 
4.3%
천 37
 
4.3%
로 37
 
4.3%
Other values (70) 353
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
54.3%
Decimal Number 203
23.9%
Space Separator 151
 
17.7%
Other Punctuation 29
 
3.4%
Uppercase Letter 3
 
0.4%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 41
 
8.9%
시 38
 
8.2%
인 37
 
8.0%
광 37
 
8.0%
역 37
 
8.0%
구 37
 
8.0%
천 37
 
8.0%
로 37
 
8.0%
호 17
 
3.7%
번 11
 
2.4%
Other values (52) 133
28.8%
Decimal Number
ValueCountFrequency (%)
1 46
22.7%
2 35
17.2%
0 29
14.3%
4 19
9.4%
5 17
 
8.4%
3 15
 
7.4%
6 14
 
6.9%
7 11
 
5.4%
8 11
 
5.4%
9 6
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
151
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
54.3%
Common 385
45.2%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 41
 
8.9%
시 38
 
8.2%
인 37
 
8.0%
광 37
 
8.0%
역 37
 
8.0%
구 37
 
8.0%
천 37
 
8.0%
로 37
 
8.0%
호 17
 
3.7%
번 11
 
2.4%
Other values (52) 133
28.8%
Common
ValueCountFrequency (%)
151
39.2%
1 46
 
11.9%
2 35
 
9.1%
, 29
 
7.5%
0 29
 
7.5%
4 19
 
4.9%
5 17
 
4.4%
3 15
 
3.9%
6 14
 
3.6%
7 11
 
2.9%
Other values (4) 19
 
4.9%
Latin
ValueCountFrequency (%)
c 1
25.0%
B 1
25.0%
S 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
54.3%
ASCII 389
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
38.8%
1 46
 
11.8%
2 35
 
9.0%
, 29
 
7.5%
0 29
 
7.5%
4 19
 
4.9%
5 17
 
4.4%
3 15
 
3.9%
6 14
 
3.6%
7 11
 
2.8%
Other values (8) 23
 
5.9%
Hangul
ValueCountFrequency (%)
서 41
 
8.9%
시 38
 
8.2%
인 37
 
8.0%
광 37
 
8.0%
역 37
 
8.0%
구 37
 
8.0%
천 37
 
8.0%
로 37
 
8.0%
호 17
 
3.7%
번 11
 
2.4%
Other values (52) 133
28.8%

전화번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-28T22:45:44.589416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters444
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

Unique37 ?
Unique (%)100.0%

Sample

1st row032-566-7589
2nd row032-575-0833
3rd row032-563-8579
4th row032-563-0775
5th row032-583-1119
ValueCountFrequency (%)
032-566-7589 1
 
2.7%
032-710-7553 1
 
2.7%
032-572-7475 1
 
2.7%
032-565-2943 1
 
2.7%
032-563-0094 1
 
2.7%
032-583-0365 1
 
2.7%
032-563-1900 1
 
2.7%
032-568-0922 1
 
2.7%
032-568-0022 1
 
2.7%
032-565-7975 1
 
2.7%
Other values (27) 27
73.0%
2024-01-28T22:45:44.931899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 74
16.7%
5 70
15.8%
0 58
13.1%
3 54
12.2%
2 50
11.3%
7 45
10.1%
6 38
8.6%
8 19
 
4.3%
9 13
 
2.9%
1 13
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 370
83.3%
Dash Punctuation 74
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 70
18.9%
0 58
15.7%
3 54
14.6%
2 50
13.5%
7 45
12.2%
6 38
10.3%
8 19
 
5.1%
9 13
 
3.5%
1 13
 
3.5%
4 10
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 74
16.7%
5 70
15.8%
0 58
13.1%
3 54
12.2%
2 50
11.3%
7 45
10.1%
6 38
8.6%
8 19
 
4.3%
9 13
 
2.9%
1 13
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 74
16.7%
5 70
15.8%
0 58
13.1%
3 54
12.2%
2 50
11.3%
7 45
10.1%
6 38
8.6%
8 19
 
4.3%
9 13
 
2.9%
1 13
 
2.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-06-01
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-01
2nd row2023-06-01
3rd row2023-06-01
4th row2023-06-01
5th row2023-06-01

Common Values

ValueCountFrequency (%)
2023-06-01 37
100.0%

Length

2024-01-28T22:45:45.063272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:45:45.147391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-01 37
100.0%

Interactions

2024-01-28T22:45:42.969935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:45:45.198373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명사업장소재지전화번호
연번1.0001.0001.0001.000
업소명1.0001.0001.0001.000
사업장소재지1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-28T22:45:43.082810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:45:43.168434image/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

연번업소명사업장소재지전화번호데이터기준일자
01가온동물의료센터인천광역시 서구 염곡로464번길 15, 2층032-566-75892023-06-01
12가정동물병원인천광역시 서구 가정로 346032-575-08332023-06-01
23검단종합동물병원인천광역시 서구 완정로 7번길 1, 1층032-563-85792023-06-01
34검암동물병원검암동물병원검암동물병원검암동물병원인천광역시 서구 승학로 512032-563-07752023-06-01
45굿모닝동물병원인천광역시 서구 가정로 246,203호032-583-11192023-06-01
56길동물병원인천광역시 서구 가정로 375, 2층 201호032-578-51192023-06-01
67도희동물병원인천광역시 서구 승학로 245, 1층032-566-00382023-06-01
78동물에 반하다 동물병원인천광역시 서구 크리스탈로102번길 22, 101, 102호032-713-82752023-06-01
89루원하이 동물병원인천광역시 서구 염곡로 468, 103호032-564-82752023-06-01
910리브동물병원인천광역시 서구 검단로 455 105호, 202호032-567-24752023-06-01
연번업소명사업장소재지전화번호데이터기준일자
2728청라호수동물메디컬센터인천광역시 서구 푸른로7번길 2032-568-00222023-06-01
2829쿨펫동물병원(당하동)인천광역시 서구 서곶로 754, 당하 이마트032-565-79752023-06-01
2930쿨펫동물병원(마전동)인천광역시 서구 원당대로 581, 롯데마트032-561-75992023-06-01
3031하얀기린 동물병원인천광역시 서구 청라라임로 40, 103호032-564-35752023-06-01
3132토닥토닥 동물병원인천광역시 서구 여우재로 119, 20호032-574-57572023-06-01
3233펫홈동물병원인천광역시 서구 서곶로 263032-566-75582023-06-01
3334행복한산책 동물병원인천광역시 서구 푸른로8번길 7, 1층032-563-75772023-06-01
3435화이트동물병원인천광역시 서구 서곶로 866032-561-75822023-06-01
353624시 더블유 동물의료센터인천광역시 서구 청라커낼로260번길 27, 2층032-565-82702023-06-01
3637J동물병원인천광역시 서구 청라커낼로270032-566-75822023-06-01