Overview

Dataset statistics

Number of variables5
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory43.3 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description인천광역시 남동구에 위차한 셀프빨래방 현황에 대한 데이터로 연번, 업체명, 소재지, 관할구, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15091193/fileData.do

Alerts

관할구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:43:02.092397
Analysis finished2023-12-12 01:43:02.664034
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T10:43:02.742232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-12T10:43:02.890636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

업체명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T10:43:03.145922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length13.596491
Min length3

Characters and Unicode

Total characters775
Distinct characters101
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

Unique57 ?
Unique (%)100.0%

Sample

1st row코인워시24 간석오거리점
2nd row워시테리아 인천구월점
3rd row워시테리아 인천논현점
4th row코인워시24 셀프빨래방 인천구월점
5th row워시테리아 만수점
ValueCountFrequency (%)
셀프빨래방 18
 
13.7%
크린토피아 8
 
6.1%
코인워시 7
 
5.3%
워시프렌즈 6
 
4.6%
워시테리아 6
 
4.6%
워시엔조이 6
 
4.6%
크린업24 4
 
3.1%
인천구월점 3
 
2.3%
인천논현점 3
 
2.3%
만수점 3
 
2.3%
Other values (55) 67
51.1%
2023-12-12T10:43:03.641026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
9.5%
점 49
 
6.3%
시 43
 
5.5%
인 38
 
4.9%
워 37
 
4.8%
프 28
 
3.6%
천 26
 
3.4%
래 26
 
3.4%
빨 23
 
3.0%
셀 22
 
2.8%
Other values (91) 409
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 651
84.0%
Space Separator 74
 
9.5%
Decimal Number 31
 
4.0%
Uppercase Letter 12
 
1.5%
Lowercase Letter 7
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 49
 
7.5%
시 43
 
6.6%
인 38
 
5.8%
워 37
 
5.7%
프 28
 
4.3%
천 26
 
4.0%
래 26
 
4.0%
빨 23
 
3.5%
셀 22
 
3.4%
방 22
 
3.4%
Other values (74) 337
51.8%
Lowercase Letter
ValueCountFrequency (%)
y 1
14.3%
r 1
14.3%
l 1
14.3%
a 1
14.3%
u 1
14.3%
n 1
14.3%
d 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 12
38.7%
4 10
32.3%
3 3
 
9.7%
6 2
 
6.5%
1 2
 
6.5%
5 2
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
M 6
50.0%
P 3
25.0%
A 3
25.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 651
84.0%
Common 105
 
13.5%
Latin 19
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 49
 
7.5%
시 43
 
6.6%
인 38
 
5.8%
워 37
 
5.7%
프 28
 
4.3%
천 26
 
4.0%
래 26
 
4.0%
빨 23
 
3.5%
셀 22
 
3.4%
방 22
 
3.4%
Other values (74) 337
51.8%
Latin
ValueCountFrequency (%)
M 6
31.6%
P 3
15.8%
A 3
15.8%
y 1
 
5.3%
r 1
 
5.3%
l 1
 
5.3%
a 1
 
5.3%
u 1
 
5.3%
n 1
 
5.3%
d 1
 
5.3%
Common
ValueCountFrequency (%)
74
70.5%
2 12
 
11.4%
4 10
 
9.5%
3 3
 
2.9%
6 2
 
1.9%
1 2
 
1.9%
5 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 651
84.0%
ASCII 124
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
59.7%
2 12
 
9.7%
4 10
 
8.1%
M 6
 
4.8%
P 3
 
2.4%
A 3
 
2.4%
3 3
 
2.4%
6 2
 
1.6%
1 2
 
1.6%
5 2
 
1.6%
Other values (7) 7
 
5.6%
Hangul
ValueCountFrequency (%)
점 49
 
7.5%
시 43
 
6.6%
인 38
 
5.8%
워 37
 
5.7%
프 28
 
4.3%
천 26
 
4.0%
래 26
 
4.0%
빨 23
 
3.5%
셀 22
 
3.4%
방 22
 
3.4%
Other values (74) 337
51.8%

소재지
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T10:43:03.920881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length34
Mean length23.192982
Min length16

Characters and Unicode

Total characters1322
Distinct characters123
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

Unique57 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 경인로 611 간석 오피앙 A
2nd row인천광역시 남동구 독점로30번길 33 1층(구월동)
3rd row인천광역시 남동구 논고개로136번길 6-5
4th row인천광역시 남동구 구월남로 302
5th row인천광역시 남동구 장승로 64
ValueCountFrequency (%)
인천광역시 57
21.3%
남동구 57
21.3%
1층 8
 
3.0%
101호 3
 
1.1%
1 3
 
1.1%
13 3
 
1.1%
만수로 3
 
1.1%
미래로 2
 
0.7%
47 2
 
0.7%
108 2
 
0.7%
Other values (118) 127
47.6%
2023-12-12T10:43:04.391032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
210
 
15.9%
1 69
 
5.2%
남 66
 
5.0%
구 66
 
5.0%
동 64
 
4.8%
인 61
 
4.6%
역 60
 
4.5%
시 59
 
4.5%
천 59
 
4.5%
광 57
 
4.3%
Other values (113) 551
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 844
63.8%
Decimal Number 252
 
19.1%
Space Separator 210
 
15.9%
Dash Punctuation 13
 
1.0%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 66
 
7.8%
구 66
 
7.8%
동 64
 
7.6%
인 61
 
7.2%
역 60
 
7.1%
시 59
 
7.0%
천 59
 
7.0%
광 57
 
6.8%
로 57
 
6.8%
번 32
 
3.8%
Other values (98) 263
31.2%
Decimal Number
ValueCountFrequency (%)
1 69
27.4%
3 27
 
10.7%
5 25
 
9.9%
0 25
 
9.9%
9 20
 
7.9%
6 20
 
7.9%
2 19
 
7.5%
4 18
 
7.1%
8 15
 
6.0%
7 14
 
5.6%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 844
63.8%
Common 477
36.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 66
 
7.8%
구 66
 
7.8%
동 64
 
7.6%
인 61
 
7.2%
역 60
 
7.1%
시 59
 
7.0%
천 59
 
7.0%
광 57
 
6.8%
로 57
 
6.8%
번 32
 
3.8%
Other values (98) 263
31.2%
Common
ValueCountFrequency (%)
210
44.0%
1 69
 
14.5%
3 27
 
5.7%
5 25
 
5.2%
0 25
 
5.2%
9 20
 
4.2%
6 20
 
4.2%
2 19
 
4.0%
4 18
 
3.8%
8 15
 
3.1%
Other values (4) 29
 
6.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 844
63.8%
ASCII 478
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
210
43.9%
1 69
 
14.4%
3 27
 
5.6%
5 25
 
5.2%
0 25
 
5.2%
9 20
 
4.2%
6 20
 
4.2%
2 19
 
4.0%
4 18
 
3.8%
8 15
 
3.1%
Other values (5) 30
 
6.3%
Hangul
ValueCountFrequency (%)
남 66
 
7.8%
구 66
 
7.8%
동 64
 
7.6%
인 61
 
7.2%
역 60
 
7.1%
시 59
 
7.0%
천 59
 
7.0%
광 57
 
6.8%
로 57
 
6.8%
번 32
 
3.8%
Other values (98) 263
31.2%

관할구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
남동구
57 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 57
100.0%

Length

2023-12-12T10:43:04.557069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:43:04.695390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 57
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2023-09-04 00:00:00
Maximum2023-09-04 00:00:00
2023-12-12T10:43:04.780783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:43:04.884989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:43:02.342332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:43:04.975425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지
연번1.0001.0001.000
업체명1.0001.0001.000
소재지1.0001.0001.000

Missing values

2023-12-12T10:43:02.499775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:43:02.624042image/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

연번업체명소재지관할구데이터기준일자
01코인워시24 간석오거리점인천광역시 남동구 경인로 611 간석 오피앙 A남동구2023-09-04
12워시테리아 인천구월점인천광역시 남동구 독점로30번길 33 1층(구월동)남동구2023-09-04
23워시테리아 인천논현점인천광역시 남동구 논고개로136번길 6-5남동구2023-09-04
34코인워시24 셀프빨래방 인천구월점인천광역시 남동구 구월남로 302남동구2023-09-04
45워시테리아 만수점인천광역시 남동구 장승로 64남동구2023-09-04
56워시테리아 서창2지구점인천광역시 남동구 서창남순환로10번길 16-10남동구2023-09-04
67워시테리아 인천서창점인천광역시 남동구 독곡로 38-1남동구2023-09-04
78워시테리아 간석점인천광역시 남동구 호구포로899번길 11남동구2023-09-04
89셀프빨래방인천광역시 남동구 문화서로49번길 1 1층남동구2023-09-04
910워시타임 셀프빨래방 구월점인천광역시 남동구 미래로 30남동구2023-09-04
연번업체명소재지관할구데이터기준일자
4748크린토피아 코인워시 간석금호어울림점인천광역시 남동구 구월로131번길 62 1층남동구2023-09-04
4849크린토피아 코인워시 인천아시아드점인천광역시 남동구 선수촌공원로55번길 11-12남동구2023-09-04
4950크린토피아 코인워시 인천논현신도시점인천광역시 남동구 함박뫼로 438-6남동구2023-09-04
5051크린토피아 코인워시 인천논현소래점인천광역시 남동구 포구로 45남동구2023-09-04
5152월드크리닝코인월드 간석휴먼시아점인천광역시 남동구 백범로294번길 15남동구2023-09-04
5253워시프렌즈 남동구월미래점인천광역시 남동구 미래로 13 102호남동구2023-09-04
5354뽀송뽀송24 구월점인천광역시 남동구 문화서로90번길 23남동구2023-09-04
5455크린에이드 서창14단지점인천광역시 남동구 운연천로 9남동구2023-09-04
5556크린토피아 코인워시 인천서창청아안점인천광역시 남동구 서창남순환로 108남동구2023-09-04
5657크린토피아 코인365 인천도림점인천광역시 남동구 논고개로 305남동구2023-09-04