Overview

Dataset statistics

Number of variables6
Number of observations43
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory52.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description인천광역시 중구 관내에 위치한 반려 동물 분양 및 용품업에 대한 데이터 입니다.파일명 인천광역시_중구_반려동물분양및용품업파일내용 사업장명칭, 도로명주소, 지번주소 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086297&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
소재지 지번주소 has 1 (2.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 17:35:19.395065
Analysis finished2024-01-28 17:35:19.885631
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-01-29T02:35:19.948655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-01-29T02:35:20.059671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
동물생산업
22 
동물판매업
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물생산업 22
51.2%
동물판매업 21
48.8%

Length

2024-01-29T02:35:20.164480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:35:20.246954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물생산업 22
51.2%
동물판매업 21
48.8%

사업장명칭
Text

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-29T02:35:20.428866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length6.3953488
Min length2

Characters and Unicode

Total characters275
Distinct characters137
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

Unique37 ?
Unique (%)86.0%

Sample

1st row개편한세상
2nd row(주)이마트 동인천점
3rd row서당개30년
4th row따루네 애견샵
5th row펫콤마
ValueCountFrequency (%)
판도라독 2
 
3.3%
펫콤마 2
 
3.3%
화이트포메라니안 2
 
3.3%
pet 2
 
3.3%
ami 2
 
3.3%
부개 1
 
1.6%
noble 1
 
1.6%
laurent 1
 
1.6%
dog(노블로렌독 1
 
1.6%
해피캣 1
 
1.6%
Other values (46) 46
75.4%
2024-01-29T02:35:20.735886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
6.5%
라 9
 
3.3%
도 6
 
2.2%
독 6
 
2.2%
이 6
 
2.2%
리 6
 
2.2%
캣 6
 
2.2%
우 6
 
2.2%
) 4
 
1.5%
e 4
 
1.5%
Other values (127) 204
74.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
71.3%
Lowercase Letter 29
 
10.5%
Uppercase Letter 22
 
8.0%
Space Separator 18
 
6.5%
Close Punctuation 4
 
1.5%
Open Punctuation 4
 
1.5%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 9
 
4.6%
도 6
 
3.1%
독 6
 
3.1%
이 6
 
3.1%
리 6
 
3.1%
캣 6
 
3.1%
우 6
 
3.1%
마 4
 
2.0%
천 3
 
1.5%
점 3
 
1.5%
Other values (94) 141
71.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
13.8%
a 3
10.3%
l 3
10.3%
o 3
10.3%
d 2
 
6.9%
n 2
 
6.9%
r 2
 
6.9%
t 2
 
6.9%
c 2
 
6.9%
b 1
 
3.4%
Other values (5) 5
17.2%
Uppercase Letter
ValueCountFrequency (%)
T 3
13.6%
A 2
9.1%
I 2
9.1%
E 2
9.1%
P 2
9.1%
M 2
9.1%
N 2
9.1%
L 2
9.1%
H 1
 
4.5%
U 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
71.3%
Latin 51
 
18.5%
Common 28
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 9
 
4.6%
도 6
 
3.1%
독 6
 
3.1%
이 6
 
3.1%
리 6
 
3.1%
캣 6
 
3.1%
우 6
 
3.1%
마 4
 
2.0%
천 3
 
1.5%
점 3
 
1.5%
Other values (94) 141
71.9%
Latin
ValueCountFrequency (%)
e 4
 
7.8%
T 3
 
5.9%
a 3
 
5.9%
l 3
 
5.9%
o 3
 
5.9%
A 2
 
3.9%
I 2
 
3.9%
E 2
 
3.9%
P 2
 
3.9%
d 2
 
3.9%
Other values (18) 25
49.0%
Common
ValueCountFrequency (%)
18
64.3%
) 4
 
14.3%
( 4
 
14.3%
3 1
 
3.6%
0 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
71.3%
ASCII 79
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
22.8%
) 4
 
5.1%
e 4
 
5.1%
( 4
 
5.1%
T 3
 
3.8%
a 3
 
3.8%
l 3
 
3.8%
o 3
 
3.8%
A 2
 
2.5%
I 2
 
2.5%
Other values (23) 33
41.8%
Hangul
ValueCountFrequency (%)
라 9
 
4.6%
도 6
 
3.1%
독 6
 
3.1%
이 6
 
3.1%
리 6
 
3.1%
캣 6
 
3.1%
우 6
 
3.1%
마 4
 
2.0%
천 3
 
1.5%
점 3
 
1.5%
Other values (94) 141
71.9%

소재지 지번주소
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing1
Missing (%)2.3%
Memory size476.0 B
2024-01-29T02:35:20.937661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length20.880952
Min length17

Characters and Unicode

Total characters877
Distinct characters54
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)95.2%

Sample

1st row인천광역시 중구 운북동 796-10
2nd row인천광역시 중구 신흥동2가 17-10
3rd row인천광역시 중구 신포동 18-4
4th row인천광역시 중구 중산동 1124-19
5th row인천광역시 중구 내동 209-1
ValueCountFrequency (%)
인천광역시 42
23.7%
중구 42
23.7%
중산동 16
 
9.0%
운북동 8
 
4.5%
운서동 5
 
2.8%
운남동 4
 
2.3%
1124-19 2
 
1.1%
내동 2
 
1.1%
신흥동2가 2
 
1.1%
을왕동 2
 
1.1%
Other values (52) 52
29.4%
2024-01-29T02:35:21.289024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
20.1%
중 60
 
6.8%
1 48
 
5.5%
인 43
 
4.9%
동 43
 
4.9%
천 42
 
4.8%
광 42
 
4.8%
역 42
 
4.8%
시 42
 
4.8%
구 42
 
4.8%
Other values (44) 297
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
51.1%
Decimal Number 210
23.9%
Space Separator 176
 
20.1%
Dash Punctuation 40
 
4.6%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 60
13.4%
인 43
9.6%
동 43
9.6%
천 42
9.4%
광 42
9.4%
역 42
9.4%
시 42
9.4%
구 42
9.4%
운 17
 
3.8%
산 16
 
3.6%
Other values (29) 59
13.2%
Decimal Number
ValueCountFrequency (%)
1 48
22.9%
2 31
14.8%
4 21
10.0%
6 18
 
8.6%
3 18
 
8.6%
7 17
 
8.1%
9 17
 
8.1%
5 16
 
7.6%
8 13
 
6.2%
0 11
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
51.1%
Common 426
48.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 60
13.4%
인 43
9.6%
동 43
9.6%
천 42
9.4%
광 42
9.4%
역 42
9.4%
시 42
9.4%
구 42
9.4%
운 17
 
3.8%
산 16
 
3.6%
Other values (29) 59
13.2%
Common
ValueCountFrequency (%)
176
41.3%
1 48
 
11.3%
- 40
 
9.4%
2 31
 
7.3%
4 21
 
4.9%
6 18
 
4.2%
3 18
 
4.2%
7 17
 
4.0%
9 17
 
4.0%
5 16
 
3.8%
Other values (2) 24
 
5.6%
Latin
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
51.1%
ASCII 429
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
41.0%
1 48
 
11.2%
- 40
 
9.3%
2 31
 
7.2%
4 21
 
4.9%
6 18
 
4.2%
3 18
 
4.2%
7 17
 
4.0%
9 17
 
4.0%
5 16
 
3.7%
Other values (5) 27
 
6.3%
Hangul
ValueCountFrequency (%)
중 60
13.4%
인 43
9.6%
동 43
9.6%
천 42
9.4%
광 42
9.4%
역 42
9.4%
시 42
9.4%
구 42
9.4%
운 17
 
3.8%
산 16
 
3.6%
Other values (29) 59
13.2%

소재지 도로명주소
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-29T02:35:21.539245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length27.372093
Min length20

Characters and Unicode

Total characters1177
Distinct characters96
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

Unique41 ?
Unique (%)95.3%

Sample

1st row인천광역시 중구 백운로 562 (운북동)
2nd row인천광역시 중구 인중로 134 (신생동)
3rd row인천광역시 중구 서해대로 464-1 (신흥동2가)
4th row인천광역시 중구 제물량로 150 (신포동)
5th row인천광역시 중구 영종순환로169번길 45-29 (중산동)
ValueCountFrequency (%)
인천광역시 43
18.9%
중구 43
18.9%
중산동 13
 
5.7%
1층 8
 
3.5%
백운로 5
 
2.2%
운북동 5
 
2.2%
운서동 5
 
2.2%
영종순환로169번길 4
 
1.8%
운남동 4
 
1.8%
내동 2
 
0.9%
Other values (86) 95
41.9%
2024-01-29T02:35:21.921794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
15.6%
중 66
 
5.6%
1 49
 
4.2%
인 45
 
3.8%
동 45
 
3.8%
시 44
 
3.7%
천 43
 
3.7%
( 43
 
3.7%
) 43
 
3.7%
구 43
 
3.7%
Other values (86) 572
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 673
57.2%
Decimal Number 197
 
16.7%
Space Separator 184
 
15.6%
Open Punctuation 43
 
3.7%
Close Punctuation 43
 
3.7%
Dash Punctuation 18
 
1.5%
Other Punctuation 16
 
1.4%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 66
 
9.8%
인 45
 
6.7%
동 45
 
6.7%
시 44
 
6.5%
천 43
 
6.4%
구 43
 
6.4%
역 43
 
6.4%
광 43
 
6.4%
로 42
 
6.2%
운 35
 
5.2%
Other values (68) 224
33.3%
Decimal Number
ValueCountFrequency (%)
1 49
24.9%
2 25
12.7%
4 25
12.7%
5 22
11.2%
6 21
10.7%
9 15
 
7.6%
3 15
 
7.6%
7 9
 
4.6%
8 9
 
4.6%
0 7
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
I 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 673
57.2%
Common 501
42.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 66
 
9.8%
인 45
 
6.7%
동 45
 
6.7%
시 44
 
6.5%
천 43
 
6.4%
구 43
 
6.4%
역 43
 
6.4%
광 43
 
6.4%
로 42
 
6.2%
운 35
 
5.2%
Other values (68) 224
33.3%
Common
ValueCountFrequency (%)
184
36.7%
1 49
 
9.8%
( 43
 
8.6%
) 43
 
8.6%
2 25
 
5.0%
4 25
 
5.0%
5 22
 
4.4%
6 21
 
4.2%
- 18
 
3.6%
, 16
 
3.2%
Other values (5) 55
 
11.0%
Latin
ValueCountFrequency (%)
C 1
33.3%
I 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 673
57.2%
ASCII 504
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
36.5%
1 49
 
9.7%
( 43
 
8.5%
) 43
 
8.5%
2 25
 
5.0%
4 25
 
5.0%
5 22
 
4.4%
6 21
 
4.2%
- 18
 
3.6%
, 16
 
3.2%
Other values (8) 58
 
11.5%
Hangul
ValueCountFrequency (%)
중 66
 
9.8%
인 45
 
6.7%
동 45
 
6.7%
시 44
 
6.5%
천 43
 
6.4%
구 43
 
6.4%
역 43
 
6.4%
광 43
 
6.4%
로 42
 
6.2%
운 35
 
5.2%
Other values (68) 224
33.3%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-08-18
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-18
2nd row2023-08-18
3rd row2023-08-18
4th row2023-08-18
5th row2023-08-18

Common Values

ValueCountFrequency (%)
2023-08-18 43
100.0%

Length

2024-01-29T02:35:22.032844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:35:22.125038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-18 43
100.0%

Interactions

2024-01-29T02:35:19.656156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T02:35:22.181943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분사업장명칭소재지 지번주소소재지 도로명주소
연번1.0001.0000.8370.9400.949
구분1.0001.0000.0000.0000.000
사업장명칭0.8370.0001.0001.0001.000
소재지 지번주소0.9400.0001.0001.0001.000
소재지 도로명주소0.9490.0001.0001.0001.000
2024-01-29T02:35:22.578420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.854
구분0.8541.000

Missing values

2024-01-29T02:35:19.754555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T02:35:19.849868image/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

연번구분사업장명칭소재지 지번주소소재지 도로명주소데이터기준일
01동물판매업개편한세상인천광역시 중구 운북동 796-10인천광역시 중구 백운로 562 (운북동)2023-08-18
12동물판매업(주)이마트 동인천점<NA>인천광역시 중구 인중로 134 (신생동)2023-08-18
23동물판매업서당개30년인천광역시 중구 신흥동2가 17-10인천광역시 중구 서해대로 464-1 (신흥동2가)2023-08-18
34동물판매업따루네 애견샵인천광역시 중구 신포동 18-4인천광역시 중구 제물량로 150 (신포동)2023-08-18
45동물판매업펫콤마인천광역시 중구 중산동 1124-19인천광역시 중구 영종순환로169번길 45-29 (중산동)2023-08-18
56동물판매업강아지나라인천광역시 중구 내동 209-1인천광역시 중구 우현로 55 (내동, 피아투,강아지나라)2023-08-18
67동물판매업우프우프인천광역시 중구 중산동 1874-8 스카이 메디컬 프라자 401호인천광역시 중구 하늘달빛로64번길 6-3, 401호 (중산동)2023-08-18
78동물판매업제시카 폼인천광역시 중구 운남동 612-11인천광역시 중구 백운로241번길 4 (운남동)2023-08-18
89동물판매업러블리 플러피인천광역시 중구 을왕동 687인천광역시 중구 선녀바위로55번길 34, 지하 1층 (을왕동)2023-08-18
910동물판매업시바나라 인천공항점인천광역시 중구 운서동 2850-7 IBC 디오빌인천광역시 중구 공항로424번길 72, IBC 디오빌 116호 (운서동)2023-08-18
연번구분사업장명칭소재지 지번주소소재지 도로명주소데이터기준일
3334동물생산업하루인천광역시 중구 을왕동 455-8인천광역시 중구 늘목로 19 (을왕동)2023-08-18
3435동물생산업바비독인천광역시 중구 운북동 771-28인천광역시 중구 백운로안길 78 (운북동)2023-08-18
3536동물생산업Lavenders인천광역시 중구 중산동 1186-35인천광역시 중구 마장포로53번길 19 (중산동)2023-08-18
3637동물생산업로아캣인천광역시 중구 신흥동2가 16-66인천광역시 중구 서해대로463번길 15-5, 1층 (신흥동2가)2023-08-18
3738동물생산업도담도담 달빛인천광역시 중구 운남동 526-25인천광역시 중구 운중로71번길 16-18, 1층 (운남동)2023-08-18
3839동물생산업판도라독인천광역시 중구 운북동 771-41인천광역시 중구 백운로안길 80-12(운북동)2023-08-18
3940동물생산업영종도차우차우(차우랑)인천광역시 중구 중산동 1392-36인천광역시 중구 백운로 92-22(중산동)2023-08-18
4041동물생산업Noble laurent dog(노블로렌독)인천광역시 중구 중산동 1296-4인천광역시 중구 운중로 211-1, 2층 (중산동)2023-08-18
4142동물생산업Holic cat인천광역시 중구 중산동 1346-8인천광역시 중구 백운로61번길 15-4(중산동)2023-08-18
4243동물생산업래브라도 홈인천광역시 중구 운서동 2739-4인천광역시 중구 신도시북로140번길 56 (운서동)2023-08-18