Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells21
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory46.1 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 미추홀구의 동물위탁 관리업 현황 데이터로 유형, 상호명, 도로명주소, 전화번호 등의 정보가 포함되어 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15100474&srcSe=7661IVAWM27C61E190

Alerts

유형 has constant value ""Constant
전화번호 has 21 (80.8%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:05:07.972530
Analysis finished2024-01-28 07:05:08.349978
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-28T16:05:08.393611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-01-28T16:05:08.484526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
동물위탁관리업
26 

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 26
100.0%

Length

2024-01-28T16:05:08.574082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:05:08.640719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물위탁관리업 26
100.0%

상호명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T16:05:08.772268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.0384615
Min length3

Characters and Unicode

Total characters183
Distinct characters94
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

Unique26 ?
Unique (%)100.0%

Sample

1st row이쁜강아지
2nd row파리 애견스타일
3rd row러블리 강아지
4th row우리집 강아지
5th row아이러브펫AC
ValueCountFrequency (%)
강아지 2
 
5.3%
이쁜강아지 1
 
2.6%
댕댕학당 1
 
2.6%
명심보견(켓독 1
 
2.6%
딩동댕 1
 
2.6%
애견카페 1
 
2.6%
꽃피는견생 1
 
2.6%
인천애견유치원 1
 
2.6%
댕댕이 1
 
2.6%
카페 1
 
2.6%
Other values (27) 27
71.1%
2024-01-28T16:05:09.037600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.6%
견 8
 
4.4%
댕 7
 
3.8%
아 6
 
3.3%
애 6
 
3.3%
이 5
 
2.7%
펫 5
 
2.7%
멍 5
 
2.7%
리 4
 
2.2%
개 4
 
2.2%
Other values (84) 121
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146
79.8%
Lowercase Letter 14
 
7.7%
Space Separator 12
 
6.6%
Uppercase Letter 6
 
3.3%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
견 8
 
5.5%
댕 7
 
4.8%
아 6
 
4.1%
애 6
 
4.1%
이 5
 
3.4%
펫 5
 
3.4%
멍 5
 
3.4%
리 4
 
2.7%
개 4
 
2.7%
동 4
 
2.7%
Other values (65) 92
63.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
14.3%
p 2
14.3%
a 2
14.3%
y 2
14.3%
u 1
7.1%
e 1
7.1%
r 1
7.1%
o 1
7.1%
h 1
7.1%
n 1
7.1%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
P 1
16.7%
A 1
16.7%
C 1
16.7%
J 1
16.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
79.8%
Latin 20
 
10.9%
Common 17
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
견 8
 
5.5%
댕 7
 
4.8%
아 6
 
4.1%
애 6
 
4.1%
이 5
 
3.4%
펫 5
 
3.4%
멍 5
 
3.4%
리 4
 
2.7%
개 4
 
2.7%
동 4
 
2.7%
Other values (65) 92
63.0%
Latin
ValueCountFrequency (%)
l 2
 
10.0%
p 2
 
10.0%
D 2
 
10.0%
a 2
 
10.0%
y 2
 
10.0%
P 1
 
5.0%
u 1
 
5.0%
A 1
 
5.0%
C 1
 
5.0%
e 1
 
5.0%
Other values (5) 5
25.0%
Common
ValueCountFrequency (%)
12
70.6%
) 2
 
11.8%
( 2
 
11.8%
, 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146
79.8%
ASCII 37
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
32.4%
) 2
 
5.4%
l 2
 
5.4%
p 2
 
5.4%
( 2
 
5.4%
D 2
 
5.4%
a 2
 
5.4%
y 2
 
5.4%
, 1
 
2.7%
P 1
 
2.7%
Other values (9) 9
24.3%
Hangul
ValueCountFrequency (%)
견 8
 
5.5%
댕 7
 
4.8%
아 6
 
4.1%
애 6
 
4.1%
이 5
 
3.4%
펫 5
 
3.4%
멍 5
 
3.4%
리 4
 
2.7%
개 4
 
2.7%
동 4
 
2.7%
Other values (65) 92
63.0%

도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T16:05:09.252674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37.5
Mean length33.961538
Min length23

Characters and Unicode

Total characters883
Distinct characters104
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 소성로 334 (문학동)
2nd row인천광역시 미추홀구 소성로 237, 201호 (학익동)
3rd row인천광역시 미추홀구 동산로 9, 1층 (숭의동)
4th row인천광역시 미추홀구 석정로456번길 4, 1층 (주안동)
5th row인천광역시 미추홀구 소성로 6, 홈플러스 지하층 (용현동)
ValueCountFrequency (%)
인천광역시 26
 
15.1%
미추홀구 26
 
15.1%
1층 8
 
4.7%
주안동 8
 
4.7%
용현동 7
 
4.1%
도화동 4
 
2.3%
2층 3
 
1.7%
소성로 3
 
1.7%
숭의동 3
 
1.7%
문학동 2
 
1.2%
Other values (78) 82
47.7%
2024-01-28T16:05:09.572000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
16.5%
1 38
 
4.3%
인 30
 
3.4%
홀 29
 
3.3%
동 29
 
3.3%
로 27
 
3.1%
시 27
 
3.1%
미 27
 
3.1%
추 27
 
3.1%
천 27
 
3.1%
Other values (94) 476
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
58.8%
Space Separator 146
 
16.5%
Decimal Number 137
 
15.5%
Open Punctuation 26
 
2.9%
Close Punctuation 26
 
2.9%
Other Punctuation 25
 
2.8%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 30
 
5.8%
홀 29
 
5.6%
동 29
 
5.6%
로 27
 
5.2%
시 27
 
5.2%
미 27
 
5.2%
추 27
 
5.2%
천 27
 
5.2%
구 26
 
5.0%
역 26
 
5.0%
Other values (79) 244
47.0%
Decimal Number
ValueCountFrequency (%)
1 38
27.7%
2 21
15.3%
0 16
11.7%
3 14
 
10.2%
4 12
 
8.8%
8 9
 
6.6%
6 9
 
6.6%
9 7
 
5.1%
5 6
 
4.4%
7 5
 
3.6%
Space Separator
ValueCountFrequency (%)
146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
58.8%
Common 364
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 30
 
5.8%
홀 29
 
5.6%
동 29
 
5.6%
로 27
 
5.2%
시 27
 
5.2%
미 27
 
5.2%
추 27
 
5.2%
천 27
 
5.2%
구 26
 
5.0%
역 26
 
5.0%
Other values (79) 244
47.0%
Common
ValueCountFrequency (%)
146
40.1%
1 38
 
10.4%
( 26
 
7.1%
) 26
 
7.1%
, 25
 
6.9%
2 21
 
5.8%
0 16
 
4.4%
3 14
 
3.8%
4 12
 
3.3%
8 9
 
2.5%
Other values (5) 31
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
58.8%
ASCII 364
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
40.1%
1 38
 
10.4%
( 26
 
7.1%
) 26
 
7.1%
, 25
 
6.9%
2 21
 
5.8%
0 16
 
4.4%
3 14
 
3.8%
4 12
 
3.3%
8 9
 
2.5%
Other values (5) 31
 
8.5%
Hangul
ValueCountFrequency (%)
인 30
 
5.8%
홀 29
 
5.6%
동 29
 
5.6%
로 27
 
5.2%
시 27
 
5.2%
미 27
 
5.2%
추 27
 
5.2%
천 27
 
5.2%
구 26
 
5.0%
역 26
 
5.0%
Other values (79) 244
47.0%

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing21
Missing (%)80.8%
Memory size340.0 B
2024-01-28T16:05:09.701836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.2
Min length12

Characters and Unicode

Total characters61
Distinct characters9
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

Unique5 ?
Unique (%)100.0%

Sample

1st row032-875-7566
2nd row070-7543-4208
3rd row032-868-2626
4th row032-882-8275
5th row032-875-8707
ValueCountFrequency (%)
032-875-7566 1
20.0%
070-7543-4208 1
20.0%
032-868-2626 1
20.0%
032-882-8275 1
20.0%
032-875-8707 1
20.0%
2024-01-28T16:05:09.917190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10
16.4%
2 9
14.8%
8 9
14.8%
0 8
13.1%
7 8
13.1%
3 5
8.2%
5 5
8.2%
6 5
8.2%
4 2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51
83.6%
Dash Punctuation 10
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
17.6%
8 9
17.6%
0 8
15.7%
7 8
15.7%
3 5
9.8%
5 5
9.8%
6 5
9.8%
4 2
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10
16.4%
2 9
14.8%
8 9
14.8%
0 8
13.1%
7 8
13.1%
3 5
8.2%
5 5
8.2%
6 5
8.2%
4 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10
16.4%
2 9
14.8%
8 9
14.8%
0 8
13.1%
7 8
13.1%
3 5
8.2%
5 5
8.2%
6 5
8.2%
4 2
 
3.3%

Interactions

2024-01-28T16:05:08.161584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:05:09.986548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소전화번호
연번1.0001.0001.0001.000
상호명1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-28T16:05:08.255886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:05:08.323151image/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

연번유형상호명도로명주소전화번호
01동물위탁관리업이쁜강아지인천광역시 미추홀구 소성로 334 (문학동)<NA>
12동물위탁관리업파리 애견스타일인천광역시 미추홀구 소성로 237, 201호 (학익동)<NA>
23동물위탁관리업러블리 강아지인천광역시 미추홀구 동산로 9, 1층 (숭의동)<NA>
34동물위탁관리업우리집 강아지인천광역시 미추홀구 석정로456번길 4, 1층 (주안동)<NA>
45동물위탁관리업아이러브펫AC인천광역시 미추홀구 소성로 6, 홈플러스 지하층 (용현동)032-875-7566
56동물위탁관리업Dear Johny인천광역시 미추홀구 석정로 360, 103호 (주안동, 주안태화아파트)<NA>
67동물위탁관리업멍튜브인천광역시 미추홀구 주안로213번길 10-1, 8층 (주안동)070-7543-4208
78동물위탁관리업개쩔개인천광역시 미추홀구 낙섬서로18번길 27-16, 1층 (용현동)<NA>
89동물위탁관리업동그리멍인천광역시 미추홀구 염전로168번길 28, 도화두손지젤시티 에이동 114호 (도화동)<NA>
910동물위탁관리업학익동물병원인천광역시 미추홀구 한나루로 379, 1층 (학익동)032-868-2626
연번유형상호명도로명주소전화번호
1617동물위탁관리업달퍼피(Dall Puppy)인천광역시 미추홀구 숙골로112번길 2, 드림프라자 2층 202호 (도화동)<NA>
1718동물위탁관리업명심보견(켓독)인천광역시 미추홀구 주안로 89, 오피스텔 디에이 리베로 1층 111호 (주안동)032-875-8707
1819동물위탁관리업딩동댕 애견카페인천광역시 미추홀구 토금중로11번길 10, 2층 (용현동)<NA>
1920동물위탁관리업꽃피는견생 인천애견유치원인천광역시 미추홀구 염전로202번길 59, 다온프라자3 4층 401호 (도화동)<NA>
2021동물위탁관리업댕댕이 카페인천광역시 미추홀구 미추홀대로722번길 18, 4층 (주안동)<NA>
2122동물위탁관리업댕댕학당인천광역시 미추홀구 인주대로 162, 삼성빌딩 9층 (용현동)<NA>
2223동물위탁관리업멍냥이 펫싸롱, 펫호텔인천광역시 미추홀구 경인로 403, 상가 101동 109호 (주안동, 주안 지웰에스테이트)<NA>
2324동물위탁관리업똥개언니인천광역시 미추홀구 낙섬서로 60, 1층 (용현동)<NA>
2425동물위탁관리업멍냥펫살롱인천광역시 미추홀구 연송로 38, 1층 (도화동)<NA>
2526동물위탁관리업라온캣독 애견호텔 인천점인천광역시 미추홀구 인주대로458번길 8 (주안동)<NA>