Overview

Dataset statistics

Number of variables6
Number of observations59
Missing cells40
Missing cells (%)11.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory51.2 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천광역시 남동구 동물위탁관리업에 대한 데이터로 사업장명칭, 영업내용, 소재지주로(도로명), 전화번호, 위도, 경도 등을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15113337&srcSe=7661IVAWM27C61E190

Alerts

영업내용 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 40 (67.8%) missing valuesMissing
연번 has unique valuesUnique
사업장명칭 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:47:47.521646
Analysis finished2024-04-20 18:47:49.163904
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-04-21T03:47:49.224732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q115.5
median30
Q344.5
95-th percentile56.1
Maximum59
Range58
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.175564
Coefficient of variation (CV)0.5725188
Kurtosis-1.2
Mean30
Median Absolute Deviation (MAD)15
Skewness0
Sum1770
Variance295
MonotonicityStrictly increasing
2024-04-21T03:47:49.332295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
2 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (49) 49
83.1%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%

사업장명칭
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-04-21T03:47:49.557782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.4067797
Min length2

Characters and Unicode

Total characters378
Distinct characters169
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

Unique59 ?
Unique (%)100.0%

Sample

1st row댕구르댕
2nd row독스포드(Doxpord)
3rd row어안이 멍멍
4th row언제나고양이
5th row도그라운지
ValueCountFrequency (%)
댕구르댕 1
 
1.2%
언더독 1
 
1.2%
멍텐션 1
 
1.2%
펫 1
 
1.2%
포레스트 1
 
1.2%
뽀작뽀작 1
 
1.2%
퍼피프린스 1
 
1.2%
헬로멍멍 1
 
1.2%
카페 1
 
1.2%
인천개공원 1
 
1.2%
Other values (75) 75
88.2%
2024-04-21T03:47:49.905389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
6.9%
스 12
 
3.2%
멍 11
 
2.9%
이 10
 
2.6%
개 9
 
2.4%
독 8
 
2.1%
견 7
 
1.9%
애 7
 
1.9%
댕 7
 
1.9%
펫 7
 
1.9%
Other values (159) 274
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 307
81.2%
Lowercase Letter 32
 
8.5%
Space Separator 26
 
6.9%
Uppercase Letter 4
 
1.1%
Decimal Number 3
 
0.8%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
3.9%
멍 11
 
3.6%
이 10
 
3.3%
개 9
 
2.9%
독 8
 
2.6%
견 7
 
2.3%
애 7
 
2.3%
댕 7
 
2.3%
펫 7
 
2.3%
아 7
 
2.3%
Other values (131) 222
72.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
18.8%
r 5
15.6%
g 2
 
6.2%
m 2
 
6.2%
a 2
 
6.2%
s 2
 
6.2%
n 2
 
6.2%
i 2
 
6.2%
t 1
 
3.1%
e 1
 
3.1%
Other values (7) 7
21.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
B 1
25.0%
F 1
25.0%
D 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
7 1
33.3%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 307
81.2%
Latin 36
 
9.5%
Common 35
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 12
 
3.9%
멍 11
 
3.6%
이 10
 
3.3%
개 9
 
2.9%
독 8
 
2.6%
견 7
 
2.3%
애 7
 
2.3%
댕 7
 
2.3%
펫 7
 
2.3%
아 7
 
2.3%
Other values (131) 222
72.3%
Latin
ValueCountFrequency (%)
o 6
16.7%
r 5
13.9%
g 2
 
5.6%
m 2
 
5.6%
a 2
 
5.6%
s 2
 
5.6%
n 2
 
5.6%
i 2
 
5.6%
t 1
 
2.8%
e 1
 
2.8%
Other values (11) 11
30.6%
Common
ValueCountFrequency (%)
26
74.3%
0 2
 
5.7%
) 2
 
5.7%
( 2
 
5.7%
' 1
 
2.9%
? 1
 
2.9%
7 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 307
81.2%
ASCII 71
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
36.6%
o 6
 
8.5%
r 5
 
7.0%
g 2
 
2.8%
m 2
 
2.8%
0 2
 
2.8%
a 2
 
2.8%
) 2
 
2.8%
s 2
 
2.8%
n 2
 
2.8%
Other values (18) 20
28.2%
Hangul
ValueCountFrequency (%)
스 12
 
3.9%
멍 11
 
3.6%
이 10
 
3.3%
개 9
 
2.9%
독 8
 
2.6%
견 7
 
2.3%
애 7
 
2.3%
댕 7
 
2.3%
펫 7
 
2.3%
아 7
 
2.3%
Other values (131) 222
72.3%

영업내용
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
동물위탁관리업
59 

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 59
100.0%

Length

2024-04-21T03:47:50.012845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:50.084103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물위탁관리업 59
100.0%

소재지주소(도로명)
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-04-21T03:47:50.298262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length31.254237
Min length22

Characters and Unicode

Total characters1844
Distinct characters122
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

Unique59 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동대로 687, 5층 (구월동)
2nd row인천광역시 남동구 석산로 123, 4층 401호 (간석동)
3rd row인천광역시 남동구 장승로 32, 1층 (만수동)
4th row인천광역시 남동구 구월남로 226, 2층 (구월동)
5th row인천광역시 남동구 서창남로 16-30, 2층 (서창동)
ValueCountFrequency (%)
인천광역시 59
 
16.0%
남동구 59
 
16.0%
간석동 19
 
5.1%
1층 15
 
4.1%
2층 14
 
3.8%
만수동 12
 
3.3%
구월동 10
 
2.7%
논현동 8
 
2.2%
백범로 6
 
1.6%
구월남로 4
 
1.1%
Other values (135) 163
44.2%
2024-04-21T03:47:50.646368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
 
16.8%
동 127
 
6.9%
1 76
 
4.1%
구 75
 
4.1%
남 73
 
4.0%
인 64
 
3.5%
천 62
 
3.4%
로 61
 
3.3%
역 60
 
3.3%
시 60
 
3.3%
Other values (112) 876
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1043
56.6%
Space Separator 310
 
16.8%
Decimal Number 308
 
16.7%
Close Punctuation 59
 
3.2%
Open Punctuation 59
 
3.2%
Other Punctuation 54
 
2.9%
Dash Punctuation 10
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 127
 
12.2%
구 75
 
7.2%
남 73
 
7.0%
인 64
 
6.1%
천 62
 
5.9%
로 61
 
5.8%
역 60
 
5.8%
시 60
 
5.8%
광 59
 
5.7%
층 38
 
3.6%
Other values (96) 364
34.9%
Decimal Number
ValueCountFrequency (%)
1 76
24.7%
2 47
15.3%
3 37
12.0%
0 35
11.4%
5 26
 
8.4%
6 21
 
6.8%
4 21
 
6.8%
7 17
 
5.5%
9 17
 
5.5%
8 11
 
3.6%
Space Separator
ValueCountFrequency (%)
310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1043
56.6%
Common 800
43.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 127
 
12.2%
구 75
 
7.2%
남 73
 
7.0%
인 64
 
6.1%
천 62
 
5.9%
로 61
 
5.8%
역 60
 
5.8%
시 60
 
5.8%
광 59
 
5.7%
층 38
 
3.6%
Other values (96) 364
34.9%
Common
ValueCountFrequency (%)
310
38.8%
1 76
 
9.5%
) 59
 
7.4%
( 59
 
7.4%
, 54
 
6.8%
2 47
 
5.9%
3 37
 
4.6%
0 35
 
4.4%
5 26
 
3.2%
6 21
 
2.6%
Other values (5) 76
 
9.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1043
56.6%
ASCII 801
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
38.7%
1 76
 
9.5%
) 59
 
7.4%
( 59
 
7.4%
, 54
 
6.7%
2 47
 
5.9%
3 37
 
4.6%
0 35
 
4.4%
5 26
 
3.2%
6 21
 
2.6%
Other values (6) 77
 
9.6%
Hangul
ValueCountFrequency (%)
동 127
 
12.2%
구 75
 
7.2%
남 73
 
7.0%
인 64
 
6.1%
천 62
 
5.9%
로 61
 
5.8%
역 60
 
5.8%
시 60
 
5.8%
광 59
 
5.7%
층 38
 
3.6%
Other values (96) 364
34.9%

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing40
Missing (%)67.8%
Memory size604.0 B
2024-04-21T03:47:50.813540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.894737
Min length9

Characters and Unicode

Total characters226
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

Unique19 ?
Unique (%)100.0%

Sample

1st row032-469-8855
2nd row032-471-3959
3rd row1670-2699
4th row032-428-1004
5th row032-462-7558
ValueCountFrequency (%)
032-469-8855 1
 
5.3%
032-428-8275 1
 
5.3%
032-469-2223 1
 
5.3%
032-465-9955 1
 
5.3%
032-469-0118 1
 
5.3%
070-4042-7072 1
 
5.3%
032-862-0975 1
 
5.3%
032-428-1253 1
 
5.3%
032-463-9066 1
 
5.3%
032-715-7778 1
 
5.3%
Other values (9) 9
47.4%
2024-04-21T03:47:51.095707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 37
16.4%
2 36
15.9%
0 32
14.2%
3 21
9.3%
4 20
8.8%
6 14
 
6.2%
5 14
 
6.2%
1 14
 
6.2%
9 13
 
5.8%
7 13
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189
83.6%
Dash Punctuation 37
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 36
19.0%
0 32
16.9%
3 21
11.1%
4 20
10.6%
6 14
 
7.4%
5 14
 
7.4%
1 14
 
7.4%
9 13
 
6.9%
7 13
 
6.9%
8 12
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 226
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 37
16.4%
2 36
15.9%
0 32
14.2%
3 21
9.3%
4 20
8.8%
6 14
 
6.2%
5 14
 
6.2%
1 14
 
6.2%
9 13
 
5.8%
7 13
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 37
16.4%
2 36
15.9%
0 32
14.2%
3 21
9.3%
4 20
8.8%
6 14
 
6.2%
5 14
 
6.2%
1 14
 
6.2%
9 13
 
5.8%
7 13
 
5.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2024-04-01 00:00:00
Maximum2024-04-01 00:00:00
2024-04-21T03:47:51.188766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:47:51.260982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T03:47:48.905070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:47:51.317694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명칭소재지주소(도로명)전화번호
연번1.0001.0001.0001.000
사업장명칭1.0001.0001.0001.000
소재지주소(도로명)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-04-21T03:47:49.043103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:47:49.126535image/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)전화번호데이터기준일자
01댕구르댕동물위탁관리업인천광역시 남동구 남동대로 687, 5층 (구월동)<NA>2024-04-01
12독스포드(Doxpord)동물위탁관리업인천광역시 남동구 석산로 123, 4층 401호 (간석동)<NA>2024-04-01
23어안이 멍멍동물위탁관리업인천광역시 남동구 장승로 32, 1층 (만수동)<NA>2024-04-01
34언제나고양이동물위탁관리업인천광역시 남동구 구월남로 226, 2층 (구월동)<NA>2024-04-01
45도그라운지동물위탁관리업인천광역시 남동구 서창남로 16-30, 2층 (서창동)<NA>2024-04-01
56우리동물위탁관리업인천광역시 남동구 에코중앙로48번길 31, 101동 102호 (논현동)<NA>2024-04-01
67약지애견카페동물위탁관리업인천광역시 남동구 논고개로123번길 35, 9층 919호 (논현동)<NA>2024-04-01
78댕겨올개동물위탁관리업인천광역시 남동구 경원대로 935, 5층 (간석동)<NA>2024-04-01
89댕교오겠습니다동물위탁관리업인천광역시 남동구 인주대로 543, 4층 (구월동)<NA>2024-04-01
910그 꼴로 산책가개?동물위탁관리업인천광역시 남동구 만수로27번길 4-7, 1층 (만수동)<NA>2024-04-01
연번사업장명칭영업내용소재지주소(도로명)전화번호데이터기준일자
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