Overview

Dataset statistics

Number of variables4
Number of observations54
Missing cells20
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.4 B

Variable types

Numeric1
Text3

Dataset

Description경기도 안양시 동안구 관내 소독업소(관내 소독업소 업소명칭, 관내 소독업소 사무실소재지, 관내 소독업소 전화번호) 현황 데이터 정보입니다.
Author경기도 안양시
URLhttps://www.data.go.kr/data/15051657/fileData.do

Alerts

전화번호 has 20 (37.0%) missing valuesMissing
순번 has unique valuesUnique
소독업소 명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:27:54.986431
Analysis finished2023-12-12 21:27:55.843038
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T06:27:55.931835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-13T06:27:56.093746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

소독업소 명칭
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T06:27:56.321538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.2777778
Min length2

Characters and Unicode

Total characters393
Distinct characters140
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

Unique54 ?
Unique (%)100.0%

Sample

1st row(주)에스엠지코리아
2nd row주식회사 정상에스앤에스
3rd row해충제로솔루션
4th row기창금보(주)
5th row이루다사회적협동조합
ValueCountFrequency (%)
주식회사 5
 
7.7%
주)에스엠지코리아 1
 
1.5%
솔로몬환경 1
 
1.5%
케어존 1
 
1.5%
한영방제 1
 
1.5%
주)두오개발 1
 
1.5%
주)밝은티에스 1
 
1.5%
주)서원이앤지 1
 
1.5%
선라이즈주식회사 1
 
1.5%
세이프 1
 
1.5%
Other values (51) 51
78.5%
2023-12-13T06:27:56.717757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
7.9%
) 25
 
6.4%
( 25
 
6.4%
스 13
 
3.3%
11
 
2.8%
사 10
 
2.5%
이 9
 
2.3%
회 8
 
2.0%
지 7
 
1.8%
업 6
 
1.5%
Other values (130) 248
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
83.2%
Close Punctuation 25
 
6.4%
Open Punctuation 25
 
6.4%
Space Separator 11
 
2.8%
Uppercase Letter 3
 
0.8%
Other Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
9.5%
스 13
 
4.0%
사 10
 
3.1%
이 9
 
2.8%
회 8
 
2.4%
지 7
 
2.1%
업 6
 
1.8%
리 6
 
1.8%
린 6
 
1.8%
식 6
 
1.8%
Other values (122) 225
68.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
F 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
83.2%
Common 63
 
16.0%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
9.5%
스 13
 
4.0%
사 10
 
3.1%
이 9
 
2.8%
회 8
 
2.4%
지 7
 
2.1%
업 6
 
1.8%
리 6
 
1.8%
린 6
 
1.8%
식 6
 
1.8%
Other values (122) 225
68.8%
Common
ValueCountFrequency (%)
) 25
39.7%
( 25
39.7%
11
17.5%
& 1
 
1.6%
5 1
 
1.6%
Latin
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
83.2%
ASCII 66
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
9.5%
스 13
 
4.0%
사 10
 
3.1%
이 9
 
2.8%
회 8
 
2.4%
지 7
 
2.1%
업 6
 
1.8%
리 6
 
1.8%
린 6
 
1.8%
식 6
 
1.8%
Other values (122) 225
68.8%
ASCII
ValueCountFrequency (%)
) 25
37.9%
( 25
37.9%
11
16.7%
G 1
 
1.5%
& 1
 
1.5%
C 1
 
1.5%
5 1
 
1.5%
F 1
 
1.5%

소독업소재지
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T06:27:57.022830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length33.62963
Min length24

Characters and Unicode

Total characters1816
Distinct characters66
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

Unique52 ?
Unique (%)96.3%

Sample

1st row경기도 안양시 동안구 시민대로109번길 29, 601호 (호계동)
2nd row경기도 안양시 동안구 부림로 182(관양동)
3rd row경기도 안양시 동안구 평촌대로374번길 55, 3층 일부호 (비산동)
4th row경기도 안양시 동안구 인덕원로24번길 25, 3층 (관양동)
5th row경기도 안양시 동안구 관악대로404번길 19-11, 2층 일부호 (관양동)
ValueCountFrequency (%)
경기도 54
 
13.7%
안양시 54
 
13.7%
동안구 54
 
13.7%
관양동 22
 
5.6%
호계동 14
 
3.6%
일부호 13
 
3.3%
비산동 12
 
3.0%
3층 10
 
2.5%
흥안대로 5
 
1.3%
평촌동 4
 
1.0%
Other values (110) 152
38.6%
2023-12-13T06:27:57.456603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
19.3%
안 118
 
6.5%
동 117
 
6.4%
양 80
 
4.4%
시 59
 
3.2%
1 58
 
3.2%
경 56
 
3.1%
( 54
 
3.0%
) 54
 
3.0%
로 54
 
3.0%
Other values (56) 815
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1006
55.4%
Space Separator 351
 
19.3%
Decimal Number 294
 
16.2%
Open Punctuation 54
 
3.0%
Close Punctuation 54
 
3.0%
Other Punctuation 45
 
2.5%
Dash Punctuation 9
 
0.5%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 118
 
11.7%
동 117
 
11.6%
양 80
 
8.0%
시 59
 
5.9%
경 56
 
5.6%
로 54
 
5.4%
기 54
 
5.4%
구 54
 
5.4%
도 54
 
5.4%
호 50
 
5.0%
Other values (40) 310
30.8%
Decimal Number
ValueCountFrequency (%)
1 58
19.7%
2 46
15.6%
3 45
15.3%
0 30
10.2%
4 30
10.2%
5 27
9.2%
9 22
 
7.5%
7 16
 
5.4%
6 15
 
5.1%
8 5
 
1.7%
Space Separator
ValueCountFrequency (%)
351
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1006
55.4%
Common 807
44.4%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 118
 
11.7%
동 117
 
11.6%
양 80
 
8.0%
시 59
 
5.9%
경 56
 
5.6%
로 54
 
5.4%
기 54
 
5.4%
구 54
 
5.4%
도 54
 
5.4%
호 50
 
5.0%
Other values (40) 310
30.8%
Common
ValueCountFrequency (%)
351
43.5%
1 58
 
7.2%
( 54
 
6.7%
) 54
 
6.7%
2 46
 
5.7%
3 45
 
5.6%
, 45
 
5.6%
0 30
 
3.7%
4 30
 
3.7%
5 27
 
3.3%
Other values (5) 67
 
8.3%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1006
55.4%
ASCII 810
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351
43.3%
1 58
 
7.2%
( 54
 
6.7%
) 54
 
6.7%
2 46
 
5.7%
3 45
 
5.6%
, 45
 
5.6%
0 30
 
3.7%
4 30
 
3.7%
5 27
 
3.3%
Other values (6) 70
 
8.6%
Hangul
ValueCountFrequency (%)
안 118
 
11.7%
동 117
 
11.6%
양 80
 
8.0%
시 59
 
5.9%
경 56
 
5.6%
로 54
 
5.4%
기 54
 
5.4%
구 54
 
5.4%
도 54
 
5.4%
호 50
 
5.0%
Other values (40) 310
30.8%

전화번호
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing20
Missing (%)37.0%
Memory size564.0 B
2023-12-13T06:27:57.682701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.941176
Min length9

Characters and Unicode

Total characters406
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

Unique34 ?
Unique (%)100.0%

Sample

1st row070-5067-4974
2nd row031-399-1601
3rd row031-424-1422
4th row031-428-1025
5th row031-421-9982
ValueCountFrequency (%)
031-767-0381 1
 
2.9%
031-479-4118 1
 
2.9%
031-421-4906 1
 
2.9%
031-388-0097 1
 
2.9%
031-423-1142 1
 
2.9%
031-387-7888 1
 
2.9%
031-385-7891 1
 
2.9%
031-423-1713 1
 
2.9%
031-423-8225 1
 
2.9%
031-422-6070 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T06:27:58.015038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 67
16.5%
0 60
14.8%
3 54
13.3%
1 53
13.1%
4 39
9.6%
8 32
7.9%
2 31
7.6%
7 23
 
5.7%
5 20
 
4.9%
9 18
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 339
83.5%
Dash Punctuation 67
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
17.7%
3 54
15.9%
1 53
15.6%
4 39
11.5%
8 32
9.4%
2 31
9.1%
7 23
 
6.8%
5 20
 
5.9%
9 18
 
5.3%
6 9
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 67
16.5%
0 60
14.8%
3 54
13.3%
1 53
13.1%
4 39
9.6%
8 32
7.9%
2 31
7.6%
7 23
 
5.7%
5 20
 
4.9%
9 18
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 67
16.5%
0 60
14.8%
3 54
13.3%
1 53
13.1%
4 39
9.6%
8 32
7.9%
2 31
7.6%
7 23
 
5.7%
5 20
 
4.9%
9 18
 
4.4%

Interactions

2023-12-13T06:27:55.237068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:27:58.098186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소독업소 명칭소독업소재지전화번호
순번1.0001.0000.9351.000
소독업소 명칭1.0001.0001.0001.000
소독업소재지0.9351.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T06:27:55.695096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:27:55.797306image/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

순번소독업소 명칭소독업소재지전화번호
01(주)에스엠지코리아경기도 안양시 동안구 시민대로109번길 29, 601호 (호계동)070-5067-4974
12주식회사 정상에스앤에스경기도 안양시 동안구 부림로 182(관양동)031-399-1601
23해충제로솔루션경기도 안양시 동안구 평촌대로374번길 55, 3층 일부호 (비산동)<NA>
34기창금보(주)경기도 안양시 동안구 인덕원로24번길 25, 3층 (관양동)031-424-1422
45이루다사회적협동조합경기도 안양시 동안구 관악대로404번길 19-11, 2층 일부호 (관양동)<NA>
56세스죤경기도 안양시 동안구 흥안대로 528, 7층 일부호 (관양동)<NA>
67클린업경기도 안양시 동안구 학의로 282, 324호 (관양동)<NA>
78한국마사회시설관리(주)경기도 안양시 동안구 동편로 54-11, 6층 일부호 (관양동)<NA>
89성안기업경기도 안양시 동안구 시민대로 74 (호계동)031-428-1025
910동원위생경기도 안양시 동안구 관평로313번길 20, 3층 일부호 (관양동)<NA>
순번소독업소 명칭소독업소재지전화번호
4445(주)화목경기도 안양시 동안구 흥안대로145번길 102-3, 2층 (호계동)031-455-9377
4546신우관리(주)경기도 안양시 동안구 안양판교로 40 (관양동)031-421-4906
4647고려환경산업개발(주)경기도 안양시 동안구 엘에스로 92, 3층 304호 (호계동 )031-479-4118
4748(주)세스코 경기서남지사경기도 안양시 동안구 경수대로 507, (호계동)031-426-9501
4849(주)대명진흥개발경기도 안양시 동안구 평촌대로374번길 55 (비산동)031-384-3535
4950G&C엔바이오경기도 안양시 동안구 귀인로 155, 상가동 지하층 11,12호 (호계동)031-381-2862
5051삼정환경개발(주)경기도 안양시 동안구 평촌대로401번길 40, 지하층 (비산동)031-385-8702
5152(주)태영경기도 안양시 동안구 벌말로 126, 9층 906호 (관양동)031-422-8922
5253한영방제경기도 안양시 동안구 관악대로 392 (관양동)031-423-8225
5354일광실업(주)경기도 안양시 동안구 갈산로2번길 27-11 (호계동)031-457-5100