Overview

Dataset statistics

Number of variables3
Number of observations62
Missing cells10
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory26.1 B

Variable types

Text3

Dataset

Description소독의무시설 및 감염병 예방을 위한 방역조치를 할때 필요한 전라북도 군산시 소재한 소독업소 현황 입니다.(소독업소명, 소재지, 전화번호 등)
Author전라북도 군산시
URLhttps://www.data.go.kr/data/3080228/fileData.do

Alerts

영업소전화번호 has 10 (16.1%) missing valuesMissing
소독업소명칭 has unique valuesUnique
사무실소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:11:38.382411
Analysis finished2023-12-12 10:11:38.766869
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소독업소명칭
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T19:11:38.950368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.8064516
Min length3

Characters and Unicode

Total characters422
Distinct characters153
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

Unique62 ?
Unique (%)100.0%

Sample

1st row유한회사 잡링크
2nd row클린방역
3rd rowK2크린에코
4th row최고방역
5th row한울이에스시
ValueCountFrequency (%)
유한회사 5
 
6.9%
주식회사 3
 
4.2%
대한 1
 
1.4%
대신 1
 
1.4%
제일방역공사 1
 
1.4%
유)서윤산업 1
 
1.4%
서희크린환경 1
 
1.4%
보미산업 1
 
1.4%
유)동진서비스 1
 
1.4%
서광시스템 1
 
1.4%
Other values (56) 56
77.8%
2023-12-12T19:11:39.316449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 26
 
6.2%
( 20
 
4.7%
) 20
 
4.7%
사 13
 
3.1%
산 12
 
2.8%
역 11
 
2.6%
10
 
2.4%
업 10
 
2.4%
한 9
 
2.1%
방 9
 
2.1%
Other values (143) 282
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
84.6%
Open Punctuation 20
 
4.7%
Close Punctuation 20
 
4.7%
Uppercase Letter 11
 
2.6%
Space Separator 10
 
2.4%
Lowercase Letter 3
 
0.7%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 26
 
7.3%
사 13
 
3.6%
산 12
 
3.4%
역 11
 
3.1%
업 10
 
2.8%
한 9
 
2.5%
방 9
 
2.5%
회 9
 
2.5%
린 9
 
2.5%
스 7
 
2.0%
Other values (128) 242
67.8%
Uppercase Letter
ValueCountFrequency (%)
K 2
18.2%
E 2
18.2%
R 2
18.2%
D 1
9.1%
O 1
9.1%
Z 1
9.1%
M 1
9.1%
H 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
c 1
33.3%
g 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
84.6%
Common 51
 
12.1%
Latin 14
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 26
 
7.3%
사 13
 
3.6%
산 12
 
3.4%
역 11
 
3.1%
업 10
 
2.8%
한 9
 
2.5%
방 9
 
2.5%
회 9
 
2.5%
린 9
 
2.5%
스 7
 
2.0%
Other values (128) 242
67.8%
Latin
ValueCountFrequency (%)
K 2
14.3%
E 2
14.3%
R 2
14.3%
D 1
7.1%
O 1
7.1%
Z 1
7.1%
e 1
7.1%
c 1
7.1%
M 1
7.1%
H 1
7.1%
Common
ValueCountFrequency (%)
( 20
39.2%
) 20
39.2%
10
19.6%
2 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
84.6%
ASCII 65
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 26
 
7.3%
사 13
 
3.6%
산 12
 
3.4%
역 11
 
3.1%
업 10
 
2.8%
한 9
 
2.5%
방 9
 
2.5%
회 9
 
2.5%
린 9
 
2.5%
스 7
 
2.0%
Other values (128) 242
67.8%
ASCII
ValueCountFrequency (%)
( 20
30.8%
) 20
30.8%
10
15.4%
K 2
 
3.1%
E 2
 
3.1%
R 2
 
3.1%
D 1
 
1.5%
O 1
 
1.5%
Z 1
 
1.5%
e 1
 
1.5%
Other values (5) 5
 
7.7%

사무실소재지
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T19:11:39.781200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length27.967742
Min length20

Characters and Unicode

Total characters1734
Distinct characters170
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

Unique62 ?
Unique (%)100.0%

Sample

1st row전라북도 군산시 조촌안3길 14, 서진창업컨설팅 401호 (조촌동)
2nd row전라북도 군산시 월명로 273, 3층 (수송동)
3rd row전라북도 군산시 해망로 207-1, 2층 (장미동)
4th row전라북도 군산시 미원로 104-1, 1층 (미원동)
5th row전라북도 군산시 신설로 25, 1층 (나운동)
ValueCountFrequency (%)
전라북도 62
 
16.7%
군산시 62
 
16.7%
1층 16
 
4.3%
나운동 9
 
2.4%
조촌동 6
 
1.6%
2층 5
 
1.3%
3층 5
 
1.3%
산북동 4
 
1.1%
경암동 4
 
1.1%
미룡동 3
 
0.8%
Other values (156) 196
52.7%
2023-12-12T19:11:40.423793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
 
17.9%
산 70
 
4.0%
북 68
 
3.9%
동 67
 
3.9%
군 64
 
3.7%
전 63
 
3.6%
도 63
 
3.6%
시 63
 
3.6%
라 62
 
3.6%
1 60
 
3.5%
Other values (160) 844
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
57.6%
Space Separator 310
 
17.9%
Decimal Number 244
 
14.1%
Open Punctuation 58
 
3.3%
Close Punctuation 58
 
3.3%
Other Punctuation 42
 
2.4%
Dash Punctuation 14
 
0.8%
Uppercase Letter 5
 
0.3%
Lowercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 70
 
7.0%
북 68
 
6.8%
동 67
 
6.7%
군 64
 
6.4%
전 63
 
6.3%
도 63
 
6.3%
시 63
 
6.3%
라 62
 
6.2%
로 34
 
3.4%
길 31
 
3.1%
Other values (135) 413
41.4%
Decimal Number
ValueCountFrequency (%)
1 60
24.6%
3 41
16.8%
2 37
15.2%
4 22
 
9.0%
0 22
 
9.0%
5 21
 
8.6%
9 13
 
5.3%
6 11
 
4.5%
7 11
 
4.5%
8 6
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
M 1
20.0%
C 1
20.0%
R 1
20.0%
B 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
20.0%
a 1
20.0%
c 1
20.0%
e 1
20.0%
m 1
20.0%
Space Separator
ValueCountFrequency (%)
310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 998
57.6%
Common 726
41.9%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 70
 
7.0%
북 68
 
6.8%
동 67
 
6.7%
군 64
 
6.4%
전 63
 
6.3%
도 63
 
6.3%
시 63
 
6.3%
라 62
 
6.2%
로 34
 
3.4%
길 31
 
3.1%
Other values (135) 413
41.4%
Common
ValueCountFrequency (%)
310
42.7%
1 60
 
8.3%
( 58
 
8.0%
) 58
 
8.0%
, 42
 
5.8%
3 41
 
5.6%
2 37
 
5.1%
4 22
 
3.0%
0 22
 
3.0%
5 21
 
2.9%
Other values (5) 55
 
7.6%
Latin
ValueCountFrequency (%)
A 1
10.0%
M 1
10.0%
C 1
10.0%
h 1
10.0%
R 1
10.0%
a 1
10.0%
c 1
10.0%
B 1
10.0%
e 1
10.0%
m 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 998
57.6%
ASCII 736
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
42.1%
1 60
 
8.2%
( 58
 
7.9%
) 58
 
7.9%
, 42
 
5.7%
3 41
 
5.6%
2 37
 
5.0%
4 22
 
3.0%
0 22
 
3.0%
5 21
 
2.9%
Other values (15) 65
 
8.8%
Hangul
ValueCountFrequency (%)
산 70
 
7.0%
북 68
 
6.8%
동 67
 
6.7%
군 64
 
6.4%
전 63
 
6.3%
도 63
 
6.3%
시 63
 
6.3%
라 62
 
6.2%
로 34
 
3.4%
길 31
 
3.1%
Other values (135) 413
41.4%

영업소전화번호
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing10
Missing (%)16.1%
Memory size628.0 B
2023-12-12T19:11:40.729495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.211538
Min length12

Characters and Unicode

Total characters635
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

Unique52 ?
Unique (%)100.0%

Sample

1st row0507-1483-9919
2nd row02-1566-5373
3rd row0507-1347-3428
4th row063-465-5511
5th row063-465-7655
ValueCountFrequency (%)
063-461-3498 1
 
1.9%
0507-1338-0416 1
 
1.9%
063-466-1576 1
 
1.9%
063-911-2424 1
 
1.9%
063-452-0855 1
 
1.9%
063-443-2828 1
 
1.9%
063-463-7983 1
 
1.9%
063-463-9200 1
 
1.9%
070-8639-1112 1
 
1.9%
063-451-8046 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T19:11:41.203773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
16.4%
6 94
14.8%
4 85
13.4%
0 80
12.6%
3 77
12.1%
5 42
6.6%
8 39
 
6.1%
2 38
 
6.0%
1 35
 
5.5%
7 22
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 531
83.6%
Dash Punctuation 104
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 94
17.7%
4 85
16.0%
0 80
15.1%
3 77
14.5%
5 42
7.9%
8 39
7.3%
2 38
7.2%
1 35
 
6.6%
7 22
 
4.1%
9 19
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 635
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
16.4%
6 94
14.8%
4 85
13.4%
0 80
12.6%
3 77
12.1%
5 42
6.6%
8 39
 
6.1%
2 38
 
6.0%
1 35
 
5.5%
7 22
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
16.4%
6 94
14.8%
4 85
13.4%
0 80
12.6%
3 77
12.1%
5 42
6.6%
8 39
 
6.1%
2 38
 
6.0%
1 35
 
5.5%
7 22
 
3.5%

Correlations

2023-12-12T19:11:41.346039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소독업소명칭사무실소재지영업소전화번호
소독업소명칭1.0001.0001.000
사무실소재지1.0001.0001.000
영업소전화번호1.0001.0001.000

Missing values

2023-12-12T19:11:38.665088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:11:38.737101image/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

소독업소명칭사무실소재지영업소전화번호
0유한회사 잡링크전라북도 군산시 조촌안3길 14, 서진창업컨설팅 401호 (조촌동)0507-1483-9919
1클린방역전라북도 군산시 월명로 273, 3층 (수송동)<NA>
2K2크린에코전라북도 군산시 해망로 207-1, 2층 (장미동)02-1566-5373
3최고방역전라북도 군산시 미원로 104-1, 1층 (미원동)0507-1347-3428
4한울이에스시전라북도 군산시 신설로 25, 1층 (나운동)<NA>
5(유)제이비매직전라북도 군산시 부곡로 130, 1층 (미룡동)063-465-5511
6(유)더클린산업전라북도 군산시 오룡1길 57(신풍동)063-465-7655
7유디코전라북도 군산시 칠성3길 90(산북동)<NA>
8(유)유노건설전라북도 군산시 팔마로 73, 청우페인트 (서흥남동)<NA>
9방역청소반장전라북도 군산시 대학로 109, 옹달샘집 1층 (금광동)<NA>
소독업소명칭사무실소재지영업소전화번호
52(유)신성시엔시전라북도 군산시 서흥안길 137-3 (서흥남동)063-463-0670
53(유)미성씨앤에스전라북도 군산시 미장안7길 8, 3층 (미장동)063-467-4022
54(유)엔테크산업전라북도 군산시 경촌안1길 31 (경암동)063-442-4433
55(유)백산전라북도 군산시 경촌3길 23 (경암동)063-443-0997
56일호환경기업전라북도 군산시 미원로 31 (삼학동)063-466-6936
57최호KD산업전라북도 군산시 조촌안2길 12 (조촌동)063-451-0036
58(유)청수산업전라북도 군산시 미성로 503 (미룡동)063-463-7012
59(주)호남기업전라북도 군산시 미성로 462 (산북동)063-442-9929
60제일방역공사전라북도 군산시 해망로 158-5, 1층 (금암동)063-442-6321
61(유)피시에스공사전라북도 군산시 구영2길 46-4 (영화동)063-445-9290