Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells19
Missing cells (%)13.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory54.5 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description인천광역시 남동구 동물운송업에 대한 데이터로 사업장명칭, 영업내용, 소재지주소(도로명), 전화번호, 위도, 경도 등을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15113267&srcSe=7661IVAWM27C61E190

Alerts

영업내용 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 19 (79.2%) missing valuesMissing
연번 has unique valuesUnique
사업장명칭 has unique valuesUnique
소재지주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:47:06.557294
Analysis finished2024-04-20 18:47:08.158505
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-21T03:47:08.210553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-04-21T03:47:08.306700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

사업장명칭
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T03:47:08.496991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length7.5833333
Min length2

Characters and Unicode

Total characters182
Distinct characters71
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row댕구르댕
2nd rowpet02나0721
3rd rowpet191고8966
4th rowpet68부0121
5th rowpet200머4928
ValueCountFrequency (%)
댕구르댕 1
 
3.6%
pet02나0721 1
 
3.6%
애견샵 1
 
3.6%
두산이네 1
 
3.6%
펫밀리 1
 
3.6%
너티독하우스 1
 
3.6%
센스펫플라잉 1
 
3.6%
댕고카 1
 
3.6%
애니멀 1
 
3.6%
예스 1
 
3.6%
Other values (18) 18
64.3%
2024-04-21T03:47:08.761257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 12
 
6.6%
2 12
 
6.6%
p 11
 
6.0%
e 11
 
6.0%
t 11
 
6.0%
0 11
 
6.0%
1 10
 
5.5%
9 8
 
4.4%
6 6
 
3.3%
3 5
 
2.7%
Other values (61) 85
46.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73
40.1%
Other Letter 72
39.6%
Lowercase Letter 33
18.1%
Space Separator 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 4
 
5.6%
댕 3
 
4.2%
독 3
 
4.2%
이 2
 
2.8%
하 2
 
2.8%
애 2
 
2.8%
고 2
 
2.8%
라 2
 
2.8%
펫 2
 
2.8%
두 2
 
2.8%
Other values (47) 48
66.7%
Decimal Number
ValueCountFrequency (%)
8 12
16.4%
2 12
16.4%
0 11
15.1%
1 10
13.7%
9 8
11.0%
6 6
8.2%
3 5
6.8%
4 4
 
5.5%
7 3
 
4.1%
5 2
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
p 11
33.3%
e 11
33.3%
t 11
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77
42.3%
Hangul 72
39.6%
Latin 33
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 4
 
5.6%
댕 3
 
4.2%
독 3
 
4.2%
이 2
 
2.8%
하 2
 
2.8%
애 2
 
2.8%
고 2
 
2.8%
라 2
 
2.8%
펫 2
 
2.8%
두 2
 
2.8%
Other values (47) 48
66.7%
Common
ValueCountFrequency (%)
8 12
15.6%
2 12
15.6%
0 11
14.3%
1 10
13.0%
9 8
10.4%
6 6
7.8%
3 5
6.5%
4
 
5.2%
4 4
 
5.2%
7 3
 
3.9%
Latin
ValueCountFrequency (%)
p 11
33.3%
e 11
33.3%
t 11
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110
60.4%
Hangul 72
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 12
10.9%
2 12
10.9%
p 11
10.0%
e 11
10.0%
t 11
10.0%
0 11
10.0%
1 10
9.1%
9 8
7.3%
6 6
5.5%
3 5
 
4.5%
Other values (4) 13
11.8%
Hangul
ValueCountFrequency (%)
스 4
 
5.6%
댕 3
 
4.2%
독 3
 
4.2%
이 2
 
2.8%
하 2
 
2.8%
애 2
 
2.8%
고 2
 
2.8%
라 2
 
2.8%
펫 2
 
2.8%
두 2
 
2.8%
Other values (47) 48
66.7%

영업내용
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
동물운송업
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물운송업 24
100.0%

Length

2024-04-21T03:47:08.861436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:08.934257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물운송업 24
100.0%

소재지주소(도로명)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T03:47:09.132535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length41.75
Min length23

Characters and Unicode

Total characters1002
Distinct characters128
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동대로 687, 5층 (구월동)
2nd row인천광역시 남동구 경원대로939번길 9, 다동 316호 (간석동, 현광아파트)
3rd row인천광역시 남동구 담방로 105, 804동 1509호 (만수동, 만수주공7,8단지아파트)
4th row인천광역시 남동구 인주대로604번길 53-1, 5동 B02호 (구월동, 서원빌라)
5th row인천광역시 남동구 염전로 440, 101동 201호 (간석동, 신동아파밀리에명품아파트)
ValueCountFrequency (%)
인천광역시 24
 
13.4%
남동구 24
 
13.4%
구월동 9
 
5.0%
간석동 7
 
3.9%
논현동 3
 
1.7%
201호 3
 
1.7%
만수동 3
 
1.7%
a동 2
 
1.1%
용천로 2
 
1.1%
101호 2
 
1.1%
Other values (98) 100
55.9%
2024-04-21T03:47:09.474716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
15.5%
동 68
 
6.8%
, 40
 
4.0%
구 37
 
3.7%
0 35
 
3.5%
1 34
 
3.4%
남 30
 
3.0%
천 28
 
2.8%
인 27
 
2.7%
시 27
 
2.7%
Other values (118) 521
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
55.1%
Decimal Number 189
 
18.9%
Space Separator 155
 
15.5%
Other Punctuation 40
 
4.0%
Open Punctuation 25
 
2.5%
Close Punctuation 25
 
2.5%
Lowercase Letter 7
 
0.7%
Uppercase Letter 6
 
0.6%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 68
 
12.3%
구 37
 
6.7%
남 30
 
5.4%
천 28
 
5.1%
인 27
 
4.9%
시 27
 
4.9%
로 26
 
4.7%
광 26
 
4.7%
역 24
 
4.3%
호 20
 
3.6%
Other values (93) 239
43.3%
Decimal Number
ValueCountFrequency (%)
0 35
18.5%
1 34
18.0%
3 21
11.1%
2 20
10.6%
7 15
7.9%
6 15
7.9%
9 14
 
7.4%
4 13
 
6.9%
5 12
 
6.3%
8 10
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
r 1
14.3%
s 1
14.3%
o 1
14.3%
e 1
14.3%
i 1
14.3%
a 1
14.3%
n 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 2
33.3%
F 1
 
16.7%
Space Separator
ValueCountFrequency (%)
155
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
55.1%
Common 437
43.6%
Latin 13
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 68
 
12.3%
구 37
 
6.7%
남 30
 
5.4%
천 28
 
5.1%
인 27
 
4.9%
시 27
 
4.9%
로 26
 
4.7%
광 26
 
4.7%
역 24
 
4.3%
호 20
 
3.6%
Other values (93) 239
43.3%
Common
ValueCountFrequency (%)
155
35.5%
, 40
 
9.2%
0 35
 
8.0%
1 34
 
7.8%
( 25
 
5.7%
) 25
 
5.7%
3 21
 
4.8%
2 20
 
4.6%
7 15
 
3.4%
6 15
 
3.4%
Other values (5) 52
 
11.9%
Latin
ValueCountFrequency (%)
B 3
23.1%
A 2
15.4%
r 1
 
7.7%
s 1
 
7.7%
o 1
 
7.7%
F 1
 
7.7%
e 1
 
7.7%
i 1
 
7.7%
a 1
 
7.7%
n 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
55.1%
ASCII 450
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
34.4%
, 40
 
8.9%
0 35
 
7.8%
1 34
 
7.6%
( 25
 
5.6%
) 25
 
5.6%
3 21
 
4.7%
2 20
 
4.4%
7 15
 
3.3%
6 15
 
3.3%
Other values (15) 65
14.4%
Hangul
ValueCountFrequency (%)
동 68
 
12.3%
구 37
 
6.7%
남 30
 
5.4%
천 28
 
5.1%
인 27
 
4.9%
시 27
 
4.9%
로 26
 
4.7%
광 26
 
4.7%
역 24
 
4.3%
호 20
 
3.6%
Other values (93) 239
43.3%

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing19
Missing (%)79.2%
Memory size324.0 B
2024-04-21T03:47:09.604636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.2
Min length12

Characters and Unicode

Total characters61
Distinct characters10
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 row032-462-0312
2nd row032-466-3171
3rd row032-469-0118
4th row070-4306-6902
5th row032-469-2223
ValueCountFrequency (%)
032-462-0312 1
20.0%
032-466-3171 1
20.0%
032-469-0118 1
20.0%
070-4306-6902 1
20.0%
032-469-2223 1
20.0%
2024-04-21T03:47:09.817436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
16.4%
2 10
16.4%
- 10
16.4%
3 8
13.1%
6 7
11.5%
4 5
8.2%
1 5
8.2%
9 3
 
4.9%
7 2
 
3.3%
8 1
 
1.6%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
19.6%
2 10
19.6%
3 8
15.7%
6 7
13.7%
4 5
9.8%
1 5
9.8%
9 3
 
5.9%
7 2
 
3.9%
8 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
16.4%
2 10
16.4%
- 10
16.4%
3 8
13.1%
6 7
11.5%
4 5
8.2%
1 5
8.2%
9 3
 
4.9%
7 2
 
3.3%
8 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
16.4%
2 10
16.4%
- 10
16.4%
3 8
13.1%
6 7
11.5%
4 5
8.2%
1 5
8.2%
9 3
 
4.9%
7 2
 
3.3%
8 1
 
1.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-01
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-01
2nd row2024-04-01
3rd row2024-04-01
4th row2024-04-01
5th row2024-04-01

Common Values

ValueCountFrequency (%)
2024-04-01 24
100.0%

Length

2024-04-21T03:47:09.919095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:47:09.986215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-01 24
100.0%

Interactions

2024-04-21T03:47:07.901593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:47:10.029372image/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

2024-04-21T03:47:08.035854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:47:08.117693image/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
01댕구르댕동물운송업인천광역시 남동구 남동대로 687, 5층 (구월동)<NA>2024-04-01
12pet02나0721동물운송업인천광역시 남동구 경원대로939번길 9, 다동 316호 (간석동, 현광아파트)<NA>2024-04-01
23pet191고8966동물운송업인천광역시 남동구 담방로 105, 804동 1509호 (만수동, 만수주공7,8단지아파트)<NA>2024-04-01
34pet68부0121동물운송업인천광역시 남동구 인주대로604번길 53-1, 5동 B02호 (구월동, 서원빌라)<NA>2024-04-01
45pet200머4928동물운송업인천광역시 남동구 염전로 440, 101동 201호 (간석동, 신동아파밀리에명품아파트)<NA>2024-04-01
56pet186라8788동물운송업인천광역시 남동구 만수서로 55, 127동 1803호 (만수동, 포레시안(Foresian))<NA>2024-04-01
67pet264루8202동물운송업인천광역시 남동구 호구포로764번길 72, 201호 (구월동, 서진빌라)<NA>2024-04-01
78pet190두5538동물운송업인천광역시 남동구 용천로176번길 43, 101호 (간석동, 소망빌라)<NA>2024-04-01
89pet19소0914동물운송업인천광역시 남동구 포구로 98, 1304동 201호 (논현동, 휴먼시아푸르내마을13단지아파트)<NA>2024-04-01
910에꼴드독동물운송업인천광역시 남동구 용천로 68, 6층 (구월동)<NA>2024-04-01
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