Overview

Dataset statistics

Number of variables5
Number of observations104
Missing cells34
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 남동구 동물미용업에 관한 데이터로 사업장명칭, 영업내용, 소재지주소(도로명), 전화번호, 위도, 경도 등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15113269/fileData.do

Alerts

영업내용 has constant value ""Constant
전화번호 has 34 (32.7%) missing valuesMissing
연번 has unique valuesUnique
사업장명칭 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-13 11:58:48.067095
Analysis finished2024-04-13 11:58:51.236294
Duration3.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.5
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-13T20:58:51.473262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.15
Q126.75
median52.5
Q378.25
95-th percentile98.85
Maximum104
Range103
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation30.166206
Coefficient of variation (CV)0.5745944
Kurtosis-1.2
Mean52.5
Median Absolute Deviation (MAD)26
Skewness0
Sum5460
Variance910
MonotonicityStrictly increasing
2024-04-13T20:58:51.854843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
54 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%

사업장명칭
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-04-13T20:58:52.886480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.1923077
Min length2

Characters and Unicode

Total characters644
Distinct characters211
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

Unique104 ?
Unique (%)100.0%

Sample

1st row댕구르댕
2nd row댕댕토피아
3rd row독스포드(Doxpord)
4th row어안이 멍멍
5th row따솜
ValueCountFrequency (%)
동물병원 4
 
2.8%
간석점 2
 
1.4%
2
 
1.4%
댕구르댕 1
 
0.7%
해맑은동물병원 1
 
0.7%
개편한세상 1
 
0.7%
헬로멍멍 1
 
0.7%
행복한동물병원 1
 
0.7%
루이동물미용 1
 
0.7%
사랑스럽개 1
 
0.7%
Other values (129) 129
89.6%
2024-04-13T20:58:54.387928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
6.2%
21
 
3.3%
20
 
3.1%
18
 
2.8%
18
 
2.8%
17
 
2.6%
15
 
2.3%
14
 
2.2%
13
 
2.0%
12
 
1.9%
Other values (201) 456
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
84.8%
Space Separator 40
 
6.2%
Lowercase Letter 33
 
5.1%
Uppercase Letter 11
 
1.7%
Decimal Number 4
 
0.6%
Other Punctuation 4
 
0.6%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
3.8%
20
 
3.7%
18
 
3.3%
18
 
3.3%
17
 
3.1%
15
 
2.7%
14
 
2.6%
13
 
2.4%
12
 
2.2%
10
 
1.8%
Other values (168) 388
71.1%
Lowercase Letter
ValueCountFrequency (%)
o 6
18.2%
r 5
15.2%
e 3
9.1%
i 2
 
6.1%
n 2
 
6.1%
t 2
 
6.1%
m 2
 
6.1%
a 2
 
6.1%
g 2
 
6.1%
s 1
 
3.0%
Other values (6) 6
18.2%
Uppercase Letter
ValueCountFrequency (%)
D 3
27.3%
C 2
18.2%
S 1
 
9.1%
L 1
 
9.1%
F 1
 
9.1%
P 1
 
9.1%
M 1
 
9.1%
B 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
' 1
25.0%
& 1
25.0%
? 1
25.0%
, 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 2
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
84.8%
Common 54
 
8.4%
Latin 44
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
3.8%
20
 
3.7%
18
 
3.3%
18
 
3.3%
17
 
3.1%
15
 
2.7%
14
 
2.6%
13
 
2.4%
12
 
2.2%
10
 
1.8%
Other values (168) 388
71.1%
Latin
ValueCountFrequency (%)
o 6
 
13.6%
r 5
 
11.4%
D 3
 
6.8%
e 3
 
6.8%
i 2
 
4.5%
n 2
 
4.5%
C 2
 
4.5%
t 2
 
4.5%
m 2
 
4.5%
a 2
 
4.5%
Other values (14) 15
34.1%
Common
ValueCountFrequency (%)
40
74.1%
) 3
 
5.6%
( 3
 
5.6%
2 2
 
3.7%
4 2
 
3.7%
' 1
 
1.9%
& 1
 
1.9%
? 1
 
1.9%
, 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
84.8%
ASCII 98
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
40.8%
o 6
 
6.1%
r 5
 
5.1%
) 3
 
3.1%
D 3
 
3.1%
( 3
 
3.1%
e 3
 
3.1%
i 2
 
2.0%
n 2
 
2.0%
C 2
 
2.0%
Other values (23) 29
29.6%
Hangul
ValueCountFrequency (%)
21
 
3.8%
20
 
3.7%
18
 
3.3%
18
 
3.3%
17
 
3.1%
15
 
2.7%
14
 
2.6%
13
 
2.4%
12
 
2.2%
10
 
1.8%
Other values (168) 388
71.1%

영업내용
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
동물미용업(일반)
104 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동물미용업(일반)
2nd row동물미용업(일반)
3rd row동물미용업(일반)
4th row동물미용업(일반)
5th row동물미용업(일반)

Common Values

ValueCountFrequency (%)
동물미용업(일반) 104
100.0%

Length

2024-04-13T20:58:54.610650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T20:58:54.774611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물미용업(일반 104
100.0%
Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size960.0 B
2024-04-13T20:58:55.631732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length32.067308
Min length22

Characters and Unicode

Total characters3335
Distinct characters139
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

Unique104 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동대로 687, 5층 (구월동)
2nd row인천광역시 남동구 성말로 38, 1층 (구월동)
3rd row인천광역시 남동구 석산로 123, 4층 401호 (간석동)
4th row인천광역시 남동구 장승로 32, 1층 (만수동)
5th row인천광역시 남동구 아암대로1503번길 32, 2층 201호 (논현동)
ValueCountFrequency (%)
인천광역시 104
 
15.8%
남동구 104
 
15.8%
1층 39
 
5.9%
간석동 27
 
4.1%
구월동 24
 
3.6%
만수동 23
 
3.5%
논현동 15
 
2.3%
2층 12
 
1.8%
서창동 9
 
1.4%
101호 9
 
1.4%
Other values (214) 294
44.5%
2024-04-13T20:58:56.837667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
556
 
16.7%
221
 
6.6%
1 161
 
4.8%
148
 
4.4%
137
 
4.1%
113
 
3.4%
107
 
3.2%
107
 
3.2%
107
 
3.2%
106
 
3.2%
Other values (129) 1572
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1890
56.7%
Decimal Number 565
 
16.9%
Space Separator 556
 
16.7%
Open Punctuation 105
 
3.1%
Close Punctuation 105
 
3.1%
Other Punctuation 99
 
3.0%
Dash Punctuation 14
 
0.4%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
221
 
11.7%
148
 
7.8%
137
 
7.2%
113
 
6.0%
107
 
5.7%
107
 
5.7%
107
 
5.7%
106
 
5.6%
104
 
5.5%
58
 
3.1%
Other values (113) 682
36.1%
Decimal Number
ValueCountFrequency (%)
1 161
28.5%
2 88
15.6%
0 66
11.7%
3 63
 
11.2%
5 41
 
7.3%
7 36
 
6.4%
4 30
 
5.3%
6 30
 
5.3%
9 28
 
5.0%
8 22
 
3.9%
Space Separator
ValueCountFrequency (%)
556
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1890
56.7%
Common 1444
43.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
221
 
11.7%
148
 
7.8%
137
 
7.2%
113
 
6.0%
107
 
5.7%
107
 
5.7%
107
 
5.7%
106
 
5.6%
104
 
5.5%
58
 
3.1%
Other values (113) 682
36.1%
Common
ValueCountFrequency (%)
556
38.5%
1 161
 
11.1%
( 105
 
7.3%
) 105
 
7.3%
, 99
 
6.9%
2 88
 
6.1%
0 66
 
4.6%
3 63
 
4.4%
5 41
 
2.8%
7 36
 
2.5%
Other values (5) 124
 
8.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1890
56.7%
ASCII 1445
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
556
38.5%
1 161
 
11.1%
( 105
 
7.3%
) 105
 
7.3%
, 99
 
6.9%
2 88
 
6.1%
0 66
 
4.6%
3 63
 
4.4%
5 41
 
2.8%
7 36
 
2.5%
Other values (6) 125
 
8.7%
Hangul
ValueCountFrequency (%)
221
 
11.7%
148
 
7.8%
137
 
7.2%
113
 
6.0%
107
 
5.7%
107
 
5.7%
107
 
5.7%
106
 
5.6%
104
 
5.5%
58
 
3.1%
Other values (113) 682
36.1%

전화번호
Text

MISSING 

Distinct70
Distinct (%)100.0%
Missing34
Missing (%)32.7%
Memory size960.0 B
2024-04-13T20:58:57.642838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.614286
Min length9

Characters and Unicode

Total characters883
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

Unique70 ?
Unique (%)100.0%

Sample

1st row0507-1377-1899
2nd row0507-1314-6339
3rd row0507-1390-7606
4th row0507-1417-3834
5th row0507-1483-3696
ValueCountFrequency (%)
0507-1342-4368 1
 
1.4%
032-467-0275 1
 
1.4%
032-715-7778 1
 
1.4%
032-466-4846 1
 
1.4%
032-437-7582 1
 
1.4%
032-439-0039 1
 
1.4%
032-437-8275 1
 
1.4%
032-462-2550 1
 
1.4%
032-431-7975 1
 
1.4%
032-468-7975 1
 
1.4%
Other values (60) 60
85.7%
2024-04-13T20:58:58.657803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 139
15.7%
0 135
15.3%
3 104
11.8%
2 95
10.8%
7 81
9.2%
4 77
8.7%
5 72
8.2%
1 56
6.3%
6 46
 
5.2%
8 42
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 744
84.3%
Dash Punctuation 139
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 135
18.1%
3 104
14.0%
2 95
12.8%
7 81
10.9%
4 77
10.3%
5 72
9.7%
1 56
7.5%
6 46
 
6.2%
8 42
 
5.6%
9 36
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 883
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 139
15.7%
0 135
15.3%
3 104
11.8%
2 95
10.8%
7 81
9.2%
4 77
8.7%
5 72
8.2%
1 56
6.3%
6 46
 
5.2%
8 42
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 883
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 139
15.7%
0 135
15.3%
3 104
11.8%
2 95
10.8%
7 81
9.2%
4 77
8.7%
5 72
8.2%
1 56
6.3%
6 46
 
5.2%
8 42
 
4.8%

Interactions

2024-04-13T20:58:50.444488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T20:58:58.814152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호
연번1.0001.000
전화번호1.0001.000

Missing values

2024-04-13T20:58:50.770886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T20:58:51.095253image/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

연번사업장명칭영업내용소재지주소(도로명)전화번호
01댕구르댕동물미용업(일반)인천광역시 남동구 남동대로 687, 5층 (구월동)0507-1377-1899
12댕댕토피아동물미용업(일반)인천광역시 남동구 성말로 38, 1층 (구월동)0507-1314-6339
23독스포드(Doxpord)동물미용업(일반)인천광역시 남동구 석산로 123, 4층 401호 (간석동)0507-1390-7606
34어안이 멍멍동물미용업(일반)인천광역시 남동구 장승로 32, 1층 (만수동)0507-1417-3834
45따솜동물미용업(일반)인천광역시 남동구 아암대로1503번길 32, 2층 201호 (논현동)<NA>
56언제나고양이동물미용업(일반)인천광역시 남동구 구월남로 226 (구월동)0507-1483-3696
67Dear My Pet동물미용업(일반)인천광역시 남동구 남동대로837번길 5, 105호 (간석동)0507-1317-6446
78러블리펫동물미용업(일반)인천광역시 남동구 구월남로 298, 1층 (구월동)0507-1316-7785
89신세계 애견미용샵동물미용업(일반)인천광역시 남동구 백범로 203, 106호 (만수동)032-473-4600
910유폴 간석점동물미용업(일반)인천광역시 남동구 백범로 412, 101호 (간석동)0507-1342-4368
연번사업장명칭영업내용소재지주소(도로명)전화번호
9495뾰로롱동물미용업(일반)인천광역시 남동구 구월남로 232, 102호 (구월동)<NA>
959624시 유앤미동물병원동물미용업(일반)인천광역시 남동구 남동대로 910, 동성빌딩 (간석동)032-433-0755
9697준애견샵동물미용업(일반)인천광역시 남동구 만수로75번길 48 (만수동)032-465-9955
9798주식회사 이십사시독스동물미용업(일반)인천광역시 남동구 남동대로 912, 유진빌딩 1층 (간석동)032-433-0075
9899master grooming동물미용업(일반)인천광역시 남동구 서창남순환로216번길 35, 청수타워 134호 (서창동)<NA>
99100마이펫동물미용업(일반)인천광역시 남동구 소래로 695-1, 1층 (만수동)<NA>
100101티파니펫동물미용업(일반)인천광역시 남동구 구월로 56, 1층 (간석동)032-233-4055
101102두산이네 애견샵동물미용업(일반)인천광역시 남동구 인주대로676번길 7, 3층 301호 (구월동)<NA>
102103논현동물병원동물미용업(일반)인천광역시 남동구 소래역남로16번길 75, 에코메트로3차 더타워상가 지층 B103-2호 (논현동)032-423-0975
103104더사랑할개동물미용업(일반)인천광역시 남동구 논고개로123번길 54, 1층 (논현동)032-446-1117