Overview

Dataset statistics

Number of variables5
Number of observations153
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory42.9 B

Variable types

Numeric2
Text3

Dataset

Description경기도 부천시 관내의 소독업체에 대한 정보로 소독관련 소독업소명칭, 업체소재지(도로명,지번), 우편번호 등의 정보를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/15090512/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:17:29.952669
Analysis finished2023-12-12 10:17:31.110220
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77
Minimum1
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T19:17:31.210267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.6
Q139
median77
Q3115
95-th percentile145.4
Maximum153
Range152
Interquartile range (IQR)76

Descriptive statistics

Standard deviation44.311398
Coefficient of variation (CV)0.5754727
Kurtosis-1.2
Mean77
Median Absolute Deviation (MAD)38
Skewness0
Sum11781
Variance1963.5
MonotonicityStrictly increasing
2023-12-12T19:17:31.393561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
106 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
107 1
 
0.7%
Other values (143) 143
93.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
153 1
0.7%
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%

소독업소명칭
Text

Distinct152
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:17:31.701561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.9869281
Min length1

Characters and Unicode

Total characters1069
Distinct characters263
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

Unique151 ?
Unique (%)98.7%

Sample

1st row나래의료기 김포점
2nd row제이이벤트
3rd row에스케이클린
4th row(주)에스텍시스템
5th row다소기업
ValueCountFrequency (%)
주식회사 17
 
8.9%
그린f5 3
 
1.6%
우리개발 2
 
1.1%
크린홈케어서비스 1
 
0.5%
아이클린 1
 
0.5%
주)그린시스템 1
 
0.5%
주)한결쉐어링 1
 
0.5%
주)위드플러스시스템 1
 
0.5%
제이케이방역 1
 
0.5%
클린앤제이 1
 
0.5%
Other values (161) 161
84.7%
2023-12-12T19:17:32.212381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 57
 
5.3%
) 39
 
3.6%
( 39
 
3.6%
37
 
3.5%
사 32
 
3.0%
스 30
 
2.8%
이 29
 
2.7%
경 27
 
2.5%
린 26
 
2.4%
환 24
 
2.2%
Other values (253) 729
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 923
86.3%
Close Punctuation 39
 
3.6%
Open Punctuation 39
 
3.6%
Space Separator 37
 
3.5%
Uppercase Letter 16
 
1.5%
Decimal Number 8
 
0.7%
Lowercase Letter 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 57
 
6.2%
사 32
 
3.5%
스 30
 
3.3%
이 29
 
3.1%
경 27
 
2.9%
린 26
 
2.8%
환 24
 
2.6%
회 23
 
2.5%
식 22
 
2.4%
에 17
 
1.8%
Other values (231) 636
68.9%
Uppercase Letter
ValueCountFrequency (%)
F 3
18.8%
C 2
12.5%
B 2
12.5%
A 2
12.5%
Z 1
 
6.2%
M 1
 
6.2%
O 1
 
6.2%
H 1
 
6.2%
J 1
 
6.2%
T 1
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
r 2
28.6%
a 1
14.3%
v 1
14.3%
p 1
14.3%
Decimal Number
ValueCountFrequency (%)
5 3
37.5%
1 3
37.5%
9 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 923
86.3%
Common 123
 
11.5%
Latin 23
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 57
 
6.2%
사 32
 
3.5%
스 30
 
3.3%
이 29
 
3.1%
경 27
 
2.9%
린 26
 
2.8%
환 24
 
2.6%
회 23
 
2.5%
식 22
 
2.4%
에 17
 
1.8%
Other values (231) 636
68.9%
Latin
ValueCountFrequency (%)
F 3
13.0%
o 2
 
8.7%
r 2
 
8.7%
C 2
 
8.7%
B 2
 
8.7%
A 2
 
8.7%
Z 1
 
4.3%
M 1
 
4.3%
O 1
 
4.3%
H 1
 
4.3%
Other values (6) 6
26.1%
Common
ValueCountFrequency (%)
) 39
31.7%
( 39
31.7%
37
30.1%
5 3
 
2.4%
1 3
 
2.4%
9 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 923
86.3%
ASCII 146
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 57
 
6.2%
사 32
 
3.5%
스 30
 
3.3%
이 29
 
3.1%
경 27
 
2.9%
린 26
 
2.8%
환 24
 
2.6%
회 23
 
2.5%
식 22
 
2.4%
에 17
 
1.8%
Other values (231) 636
68.9%
ASCII
ValueCountFrequency (%)
) 39
26.7%
( 39
26.7%
37
25.3%
F 3
 
2.1%
5 3
 
2.1%
1 3
 
2.1%
o 2
 
1.4%
r 2
 
1.4%
9 2
 
1.4%
C 2
 
1.4%
Other values (12) 14
 
9.6%

소재지(도로명)
Text

Distinct151
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:17:32.985895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length31.823529
Min length19

Characters and Unicode

Total characters4869
Distinct characters192
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

Unique149 ?
Unique (%)97.4%

Sample

1st row경기도 부천시 연동로132번길 35. 해담 2동 (옥길동)
2nd row경기도 부천시 하우로 293. 102호 (심곡본동. 삼성하이츠빌)
3rd row경기도 부천시 소사로300번길 62. 104호 (소사동)
4th row경기도 부천시 소향로37번길 31-7. 상동타운 503호 (상동)
5th row경기도 부천시 오정로212번길 13. 한오빌딩 403호 (오정동)
ValueCountFrequency (%)
경기도 153
 
15.2%
부천시 153
 
15.2%
상동 27
 
2.7%
3층 23
 
2.3%
중동 19
 
1.9%
1층 19
 
1.9%
심곡본동 13
 
1.3%
2층 12
 
1.2%
심곡동 11
 
1.1%
송내동 10
 
1.0%
Other values (362) 568
56.3%
2023-12-12T19:17:33.670676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
859
 
17.6%
부 189
 
3.9%
1 186
 
3.8%
천 174
 
3.6%
동 173
 
3.6%
경 169
 
3.5%
도 164
 
3.4%
( 155
 
3.2%
시 155
 
3.2%
) 155
 
3.2%
Other values (182) 2490
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2600
53.4%
Decimal Number 922
 
18.9%
Space Separator 859
 
17.6%
Open Punctuation 155
 
3.2%
Close Punctuation 155
 
3.2%
Other Punctuation 147
 
3.0%
Dash Punctuation 21
 
0.4%
Lowercase Letter 6
 
0.1%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 189
 
7.3%
천 174
 
6.7%
동 173
 
6.7%
경 169
 
6.5%
도 164
 
6.3%
시 155
 
6.0%
로 154
 
5.9%
기 153
 
5.9%
길 96
 
3.7%
번 84
 
3.2%
Other values (158) 1089
41.9%
Decimal Number
ValueCountFrequency (%)
1 186
20.2%
2 153
16.6%
3 136
14.8%
0 96
10.4%
4 80
8.7%
5 60
 
6.5%
7 57
 
6.2%
6 56
 
6.1%
8 54
 
5.9%
9 44
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 1
16.7%
t 1
16.7%
n 1
16.7%
c 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
B 1
25.0%
U 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 146
99.3%
@ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
859
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2600
53.4%
Common 2259
46.4%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 189
 
7.3%
천 174
 
6.7%
동 173
 
6.7%
경 169
 
6.5%
도 164
 
6.3%
시 155
 
6.0%
로 154
 
5.9%
기 153
 
5.9%
길 96
 
3.7%
번 84
 
3.2%
Other values (158) 1089
41.9%
Common
ValueCountFrequency (%)
859
38.0%
1 186
 
8.2%
( 155
 
6.9%
) 155
 
6.9%
2 153
 
6.8%
. 146
 
6.5%
3 136
 
6.0%
0 96
 
4.2%
4 80
 
3.5%
5 60
 
2.7%
Other values (6) 233
 
10.3%
Latin
ValueCountFrequency (%)
I 2
20.0%
e 2
20.0%
B 1
10.0%
r 1
10.0%
t 1
10.0%
n 1
10.0%
c 1
10.0%
U 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2600
53.4%
ASCII 2269
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
859
37.9%
1 186
 
8.2%
( 155
 
6.8%
) 155
 
6.8%
2 153
 
6.7%
. 146
 
6.4%
3 136
 
6.0%
0 96
 
4.2%
4 80
 
3.5%
5 60
 
2.6%
Other values (14) 243
 
10.7%
Hangul
ValueCountFrequency (%)
부 189
 
7.3%
천 174
 
6.7%
동 173
 
6.7%
경 169
 
6.5%
도 164
 
6.3%
시 155
 
6.0%
로 154
 
5.9%
기 153
 
5.9%
길 96
 
3.7%
번 84
 
3.2%
Other values (158) 1089
41.9%

소재지(지번)
Text

Distinct151
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:17:34.036019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length23.091503
Min length14

Characters and Unicode

Total characters3533
Distinct characters174
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

Unique149 ?
Unique (%)97.4%

Sample

1st row경기도 부천시 옥길동 497-1 해담 2동
2nd row경기도 부천시 심곡본동 727-6 삼성하이츠빌 102호
3rd row경기도 부천시 소사동 27-5
4th row경기도 부천시 상동 545-11 상동타운
5th row경기도 부천시 오정동 578-4 한오빌딩
ValueCountFrequency (%)
경기도 153
19.3%
부천시 153
19.3%
상동 27
 
3.4%
중동 19
 
2.4%
심곡동 13
 
1.6%
심곡본동 13
 
1.6%
송내동 11
 
1.4%
오정동 10
 
1.3%
춘의동 9
 
1.1%
소사본동 7
 
0.9%
Other values (286) 377
47.6%
2023-12-12T19:17:34.528929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
640
18.1%
1 182
 
5.2%
동 163
 
4.6%
도 160
 
4.5%
부 158
 
4.5%
천 156
 
4.4%
시 155
 
4.4%
경 153
 
4.3%
기 153
 
4.3%
2 105
 
3.0%
Other values (164) 1508
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1954
55.3%
Decimal Number 819
23.2%
Space Separator 640
 
18.1%
Dash Punctuation 99
 
2.8%
Lowercase Letter 6
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 163
 
8.3%
도 160
 
8.2%
부 158
 
8.1%
천 156
 
8.0%
시 155
 
7.9%
경 153
 
7.8%
기 153
 
7.8%
호 88
 
4.5%
지 63
 
3.2%
번 59
 
3.0%
Other values (140) 646
33.1%
Decimal Number
ValueCountFrequency (%)
1 182
22.2%
2 105
12.8%
4 102
12.5%
3 98
12.0%
0 94
11.5%
5 78
9.5%
7 47
 
5.7%
6 45
 
5.5%
9 37
 
4.5%
8 31
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 1
16.7%
t 1
16.7%
n 1
16.7%
c 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
B 1
25.0%
U 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
@ 1
33.3%
Space Separator
ValueCountFrequency (%)
640
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1954
55.3%
Common 1569
44.4%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 163
 
8.3%
도 160
 
8.2%
부 158
 
8.1%
천 156
 
8.0%
시 155
 
7.9%
경 153
 
7.8%
기 153
 
7.8%
호 88
 
4.5%
지 63
 
3.2%
번 59
 
3.0%
Other values (140) 646
33.1%
Common
ValueCountFrequency (%)
640
40.8%
1 182
 
11.6%
2 105
 
6.7%
4 102
 
6.5%
- 99
 
6.3%
3 98
 
6.2%
0 94
 
6.0%
5 78
 
5.0%
7 47
 
3.0%
6 45
 
2.9%
Other values (6) 79
 
5.0%
Latin
ValueCountFrequency (%)
I 2
20.0%
e 2
20.0%
B 1
10.0%
r 1
10.0%
t 1
10.0%
n 1
10.0%
c 1
10.0%
U 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1954
55.3%
ASCII 1579
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
640
40.5%
1 182
 
11.5%
2 105
 
6.6%
4 102
 
6.5%
- 99
 
6.3%
3 98
 
6.2%
0 94
 
6.0%
5 78
 
4.9%
7 47
 
3.0%
6 45
 
2.8%
Other values (14) 89
 
5.6%
Hangul
ValueCountFrequency (%)
동 163
 
8.3%
도 160
 
8.2%
부 158
 
8.1%
천 156
 
8.0%
시 155
 
7.9%
경 153
 
7.8%
기 153
 
7.8%
호 88
 
4.5%
지 63
 
3.2%
번 59
 
3.0%
Other values (140) 646
33.1%

우편번호
Real number (ℝ)

Distinct104
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14591.987
Minimum14409
Maximum14786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T19:17:34.724382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14409
5-th percentile14434
Q114529
median14579
Q314664
95-th percentile14750
Maximum14786
Range377
Interquartile range (IQR)135

Descriptive statistics

Standard deviation99.292695
Coefficient of variation (CV)0.0068046042
Kurtosis-0.87755542
Mean14591.987
Median Absolute Deviation (MAD)62
Skewness0.084697553
Sum2232574
Variance9859.0393
MonotonicityNot monotonic
2023-12-12T19:17:34.904264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14623 7
 
4.6%
14544 6
 
3.9%
14750 4
 
2.6%
14720 4
 
2.6%
14548 4
 
2.6%
14598 4
 
2.6%
14706 3
 
2.0%
14611 3
 
2.0%
14543 3
 
2.0%
14542 2
 
1.3%
Other values (94) 113
73.9%
ValueCountFrequency (%)
14409 1
0.7%
14412 1
0.7%
14416 1
0.7%
14423 2
1.3%
14433 2
1.3%
14434 2
1.3%
14436 2
1.3%
14437 2
1.3%
14440 1
0.7%
14441 1
0.7%
ValueCountFrequency (%)
14786 1
 
0.7%
14785 1
 
0.7%
14765 1
 
0.7%
14760 1
 
0.7%
14753 1
 
0.7%
14752 1
 
0.7%
14750 4
2.6%
14749 1
 
0.7%
14747 2
1.3%
14746 1
 
0.7%

Interactions

2023-12-12T19:17:30.651340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:17:30.383477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:17:30.782392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:17:30.503314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:17:35.012990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호
순번1.0000.300
우편번호0.3001.000
2023-12-12T19:17:35.093915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호
순번1.000-0.096
우편번호-0.0961.000

Missing values

2023-12-12T19:17:30.941180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:17:31.064330image/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

순번소독업소명칭소재지(도로명)소재지(지번)우편번호
01나래의료기 김포점경기도 부천시 연동로132번길 35. 해담 2동 (옥길동)경기도 부천시 옥길동 497-1 해담 2동14785
12제이이벤트경기도 부천시 하우로 293. 102호 (심곡본동. 삼성하이츠빌)경기도 부천시 심곡본동 727-6 삼성하이츠빌 102호14750
23에스케이클린경기도 부천시 소사로300번길 62. 104호 (소사동)경기도 부천시 소사동 27-514660
34(주)에스텍시스템경기도 부천시 소향로37번길 31-7. 상동타운 503호 (상동)경기도 부천시 상동 545-11 상동타운14544
45다소기업경기도 부천시 오정로212번길 13. 한오빌딩 403호 (오정동)경기도 부천시 오정동 578-4 한오빌딩14437
56(주)한결아이에프엠경기도 부천시 길주로 137. 그린힐 503호 (상동)경기도 부천시 상동 538-4 그린힐14542
67푸른사람들경기도 부천시 부일로221번길 26. 삼원타운 117호 (상동)경기도 부천시 상동 455 삼원타운14623
78뉴먼방역경기도 부천시 석천로177번길 21. 화이트밸리 3층 1호 (중동)경기도 부천시 중동 1162-1 화이트밸리14546
89길종합개발경기도 부천시 길주로377번가길 20(춘의동)경기도 부천시 춘의동 140-214529
910(주)에스피시스템경기도 부천시 부일로233번길 19. 금강빌딩 602호 (상동)경기도 부천시 상동 458-1 금강빌딩14623
순번소독업소명칭소재지(도로명)소재지(지번)우편번호
143144(주)수웅경기도 부천시 조마루로285번길 50. 골드존타워 406호 (중동)경기도 부천시 중동 1134번지 2호 골드존타워 406호14580
144145삼우도시설관리(주)경기도 부천시 장말로 289. 3층 (심곡동)경기도 부천시 심곡동 305번지 3호14611
145146서인조경산업개발경기도 부천시 소사로141번길 12 (소사본동.(지하1층))경기도 부천시 소사본동 233-24번지 (지하1층)14760
146147가나환경경기도 부천시 조마루로 428. 가나환경 2층 (원미동)경기도 부천시 원미동 55-114567
147148주식회사모두이엔씨경기도 부천시 성오로117번길 26 (원종동)경기도 부천시 원종동 148-7번지 (지하1층)14433
148149신광종합환경경기도 부천시 원미로124번길 33-18. 1층 (원미동)경기도 부천시 원미동 165번지 15호14564
149150세인환경경기도 부천시 수도로 98 (도당동)경기도 부천시 도당동 5번지14519
150151동성환경개발경기도 부천시 은성로76번길 41 (소사본동)경기도 부천시 소사본동 273-8번지14765
151152선진환경경기도 부천시 송내대로 32 (송내동)경기도 부천시 송내동 299-4번지14720
152153정성방역경기도 부천시 경인로206번길 36. 4층 402호 (심곡본동)경기도 부천시 심곡본동 596-1314712