Overview

Dataset statistics

Number of variables5
Number of observations62
Missing cells2
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory42.1 B

Variable types

Text4
Categorical1

Dataset

Description경상북도 포항시_방역소독 업체 현황[소독업소명칭,사무실 지번주소,사무실소재지(도로명),영업소전화번호 ,데이터기준일]
URLhttps://www.data.go.kr/data/15113033/fileData.do

Alerts

데이터기준일 has constant value ""Constant
영업소전화번호 has 2 (3.2%) missing valuesMissing
소독업소명칭 has unique valuesUnique
사무실 지번주소 has unique valuesUnique
사무실소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:22:20.952324
Analysis finished2023-12-12 13:22:21.509748
Duration0.56 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
2023-12-12T22:22:21.667024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.516129
Min length3

Characters and Unicode

Total characters404
Distinct characters135
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 row풀무원 풀스케어
2nd row좋은환경주택관리
3rd row에이스방역
4th row한양공조시스템
5th row대경의보환경산업
ValueCountFrequency (%)
주식회사 4
 
5.5%
풀무원 1
 
1.4%
벨킨스 1
 
1.4%
주)동원크린테크 1
 
1.4%
그린방역 1
 
1.4%
청원환경 1
 
1.4%
대영건설(주 1
 
1.4%
포항해운(주 1
 
1.4%
뉴환경산업 1
 
1.4%
매일환경산업 1
 
1.4%
Other values (60) 60
82.2%
2023-12-12T22:22:22.042215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
5.9%
) 19
 
4.7%
( 19
 
4.7%
13
 
3.2%
12
 
3.0%
11
 
2.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
10
 
2.5%
Other values (125) 263
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
86.4%
Close Punctuation 19
 
4.7%
Open Punctuation 19
 
4.7%
Space Separator 11
 
2.7%
Uppercase Letter 4
 
1.0%
Decimal Number 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
6.9%
13
 
3.7%
12
 
3.4%
11
 
3.2%
11
 
3.2%
11
 
3.2%
10
 
2.9%
9
 
2.6%
9
 
2.6%
6
 
1.7%
Other values (117) 233
66.8%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
C 1
25.0%
S 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
86.4%
Common 51
 
12.6%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
6.9%
13
 
3.7%
12
 
3.4%
11
 
3.2%
11
 
3.2%
11
 
3.2%
10
 
2.9%
9
 
2.6%
9
 
2.6%
6
 
1.7%
Other values (117) 233
66.8%
Common
ValueCountFrequency (%)
) 19
37.3%
( 19
37.3%
11
21.6%
2 1
 
2.0%
- 1
 
2.0%
Latin
ValueCountFrequency (%)
K 2
50.0%
C 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
86.4%
ASCII 55
 
13.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
6.9%
13
 
3.7%
12
 
3.4%
11
 
3.2%
11
 
3.2%
11
 
3.2%
10
 
2.9%
9
 
2.6%
9
 
2.6%
6
 
1.7%
Other values (117) 233
66.8%
ASCII
ValueCountFrequency (%)
) 19
34.5%
( 19
34.5%
11
20.0%
K 2
 
3.6%
C 1
 
1.8%
S 1
 
1.8%
2 1
 
1.8%
- 1
 
1.8%
Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T22:22:22.367057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length23.983871
Min length19

Characters and Unicode

Total characters1487
Distinct characters71
Distinct categories4 ?
Distinct scripts2 ?
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 row경상북도 포항시 남구 해도동 507-2
2nd row경상북도 포항시 남구 상도동 666-7
3rd row경상북도 포항시 남구 오천읍 문덕리 368-1
4th row경상북도 포항시 남구 대도동 21-32
5th row경상북도 포항시 남구 동해면 도구리 662-1
ValueCountFrequency (%)
경상북도 62
17.2%
남구 62
17.2%
포항시 62
17.2%
대도동 22
 
6.1%
해도동 8
 
2.2%
상도동 6
 
1.7%
연일읍 5
 
1.4%
1호 5
 
1.4%
12호 4
 
1.1%
오천읍 4
 
1.1%
Other values (100) 121
33.5%
2023-12-12T22:22:22.765929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
20.1%
102
 
6.9%
68
 
4.6%
63
 
4.2%
62
 
4.2%
62
 
4.2%
62
 
4.2%
62
 
4.2%
62
 
4.2%
62
 
4.2%
Other values (61) 583
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
61.2%
Space Separator 299
 
20.1%
Decimal Number 254
 
17.1%
Dash Punctuation 24
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
102
11.2%
68
 
7.5%
63
 
6.9%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
52
 
5.7%
Other values (49) 253
27.8%
Decimal Number
ValueCountFrequency (%)
1 48
18.9%
2 35
13.8%
6 30
11.8%
3 26
10.2%
7 22
8.7%
5 21
8.3%
4 20
7.9%
0 19
 
7.5%
9 18
 
7.1%
8 15
 
5.9%
Space Separator
ValueCountFrequency (%)
299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 910
61.2%
Common 577
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
102
11.2%
68
 
7.5%
63
 
6.9%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
52
 
5.7%
Other values (49) 253
27.8%
Common
ValueCountFrequency (%)
299
51.8%
1 48
 
8.3%
2 35
 
6.1%
6 30
 
5.2%
3 26
 
4.5%
- 24
 
4.2%
7 22
 
3.8%
5 21
 
3.6%
4 20
 
3.5%
0 19
 
3.3%
Other values (2) 33
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
61.2%
ASCII 577
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299
51.8%
1 48
 
8.3%
2 35
 
6.1%
6 30
 
5.2%
3 26
 
4.5%
- 24
 
4.2%
7 22
 
3.8%
5 21
 
3.6%
4 20
 
3.5%
0 19
 
3.3%
Other values (2) 33
 
5.7%
Hangul
ValueCountFrequency (%)
102
11.2%
68
 
7.5%
63
 
6.9%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
62
 
6.8%
52
 
5.7%
Other values (49) 253
27.8%
Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-12T22:22:23.084921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length29.516129
Min length23

Characters and Unicode

Total characters1830
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
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 row경상북도 포항시 남구 해동로84번길 24-4(해도동)
2nd row경상북도 포항시 남구 중흥로58번길 7-8(상도동)
3rd row경상북도 포항시 남구 오천읍 문덕로64번길 2, 101동 1호 (국민드림빌7차)
4th row경상북도 포항시 남구 대해로79번길 41(대도동)
5th row경상북도 포항시 남구 동해면 일월로56번길 10
ValueCountFrequency (%)
경상북도 62
 
15.3%
남구 62
 
15.3%
포항시 62
 
15.3%
대도동 21
 
5.2%
해도동 7
 
1.7%
1층 6
 
1.5%
연일읍 5
 
1.2%
상공로 5
 
1.2%
상도동 5
 
1.2%
10 4
 
1.0%
Other values (127) 166
41.0%
2023-12-12T22:22:23.532700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
18.7%
103
 
5.6%
82
 
4.5%
63
 
3.4%
63
 
3.4%
63
 
3.4%
1 62
 
3.4%
62
 
3.4%
62
 
3.4%
62
 
3.4%
Other values (91) 865
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1085
59.3%
Space Separator 343
 
18.7%
Decimal Number 263
 
14.4%
Close Punctuation 51
 
2.8%
Open Punctuation 51
 
2.8%
Other Punctuation 26
 
1.4%
Dash Punctuation 11
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
103
 
9.5%
82
 
7.6%
63
 
5.8%
63
 
5.8%
63
 
5.8%
62
 
5.7%
62
 
5.7%
62
 
5.7%
62
 
5.7%
62
 
5.7%
Other values (76) 401
37.0%
Decimal Number
ValueCountFrequency (%)
1 62
23.6%
2 43
16.3%
8 27
10.3%
5 23
 
8.7%
0 23
 
8.7%
4 20
 
7.6%
3 19
 
7.2%
6 17
 
6.5%
7 17
 
6.5%
9 12
 
4.6%
Space Separator
ValueCountFrequency (%)
343
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1085
59.3%
Common 745
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
103
 
9.5%
82
 
7.6%
63
 
5.8%
63
 
5.8%
63
 
5.8%
62
 
5.7%
62
 
5.7%
62
 
5.7%
62
 
5.7%
62
 
5.7%
Other values (76) 401
37.0%
Common
ValueCountFrequency (%)
343
46.0%
1 62
 
8.3%
) 51
 
6.8%
( 51
 
6.8%
2 43
 
5.8%
8 27
 
3.6%
, 26
 
3.5%
5 23
 
3.1%
0 23
 
3.1%
4 20
 
2.7%
Other values (5) 76
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1085
59.3%
ASCII 745
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
46.0%
1 62
 
8.3%
) 51
 
6.8%
( 51
 
6.8%
2 43
 
5.8%
8 27
 
3.6%
, 26
 
3.5%
5 23
 
3.1%
0 23
 
3.1%
4 20
 
2.7%
Other values (5) 76
 
10.2%
Hangul
ValueCountFrequency (%)
103
 
9.5%
82
 
7.6%
63
 
5.8%
63
 
5.8%
63
 
5.8%
62
 
5.7%
62
 
5.7%
62
 
5.7%
62
 
5.7%
62
 
5.7%
Other values (76) 401
37.0%

영업소전화번호
Text

MISSING 

Distinct46
Distinct (%)76.7%
Missing2
Missing (%)3.2%
Memory size628.0 B
2023-12-12T22:22:23.766805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.9
Min length9

Characters and Unicode

Total characters714
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)53.3%

Sample

1st row1566-2536
2nd row054-246-3156
3rd row054-272-2747
4th row054-615-7486
5th row054-282-3332
ValueCountFrequency (%)
054-278-2234 2
 
3.3%
054-232-7175 2
 
3.3%
054-244-4818 2
 
3.3%
054-244-5333 2
 
3.3%
054-283-4446 2
 
3.3%
054-273-2216 2
 
3.3%
054-282-8388 2
 
3.3%
054-252-7700 2
 
3.3%
054-256-1600 2
 
3.3%
054-272-8006 2
 
3.3%
Other values (37) 41
67.2%
2023-12-12T22:22:24.151612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 117
16.4%
4 105
14.7%
2 97
13.6%
0 92
12.9%
5 90
12.6%
7 53
7.4%
8 49
6.9%
3 37
 
5.2%
1 37
 
5.2%
6 26
 
3.6%
Other values (2) 11
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 596
83.5%
Dash Punctuation 117
 
16.4%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 105
17.6%
2 97
16.3%
0 92
15.4%
5 90
15.1%
7 53
8.9%
8 49
8.2%
3 37
 
6.2%
1 37
 
6.2%
6 26
 
4.4%
9 10
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 117
16.4%
4 105
14.7%
2 97
13.6%
0 92
12.9%
5 90
12.6%
7 53
7.4%
8 49
6.9%
3 37
 
5.2%
1 37
 
5.2%
6 26
 
3.6%
Other values (2) 11
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 117
16.4%
4 105
14.7%
2 97
13.6%
0 92
12.9%
5 90
12.6%
7 53
7.4%
8 49
6.9%
3 37
 
5.2%
1 37
 
5.2%
6 26
 
3.6%
Other values (2) 11
 
1.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-03-29
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-29
2nd row2023-03-29
3rd row2023-03-29
4th row2023-03-29
5th row2023-03-29

Common Values

ValueCountFrequency (%)
2023-03-29 62
100.0%

Length

2023-12-12T22:22:24.309141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:22:24.404854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-29 62
100.0%

Correlations

2023-12-12T22:22:24.848814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소독업소명칭사무실 지번주소사무실소재지(도로명)영업소전화번호
소독업소명칭1.0001.0001.0001.000
사무실 지번주소1.0001.0001.0001.000
사무실소재지(도로명)1.0001.0001.0001.000
영업소전화번호1.0001.0001.0001.000

Missing values

2023-12-12T22:22:21.341439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:22:21.464737image/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

소독업소명칭사무실 지번주소사무실소재지(도로명)영업소전화번호데이터기준일
0풀무원 풀스케어경상북도 포항시 남구 해도동 507-2경상북도 포항시 남구 해동로84번길 24-4(해도동)1566-25362023-03-29
1좋은환경주택관리경상북도 포항시 남구 상도동 666-7경상북도 포항시 남구 중흥로58번길 7-8(상도동)054-246-31562023-03-29
2에이스방역경상북도 포항시 남구 오천읍 문덕리 368-1경상북도 포항시 남구 오천읍 문덕로64번길 2, 101동 1호 (국민드림빌7차)054-272-27472023-03-29
3한양공조시스템경상북도 포항시 남구 대도동 21-32경상북도 포항시 남구 대해로79번길 41(대도동)054-615-74862023-03-29
4대경의보환경산업경상북도 포항시 남구 동해면 도구리 662-1경상북도 포항시 남구 동해면 일월로56번길 10054-282-33322023-03-29
5청년클린케어경상북도 포항시 남구 인덕동 71-25경상북도 포항시 남구 구정길17번길 43-28, 1층 (인덕동)<NA>2023-03-29
6영남환경경상북도 포항시 남구 상도동 651-3경상북도 포항시 남구 희망대로 727-5, 1층 (상도동)054-248-71412023-03-29
7인디안방역경상북도 포항시 남구 대도동 91-7경상북도 포항시 남구 상공로 131, 3층 일부호 (대도동)054-241-73002023-03-29
8제일크린테크경상북도 포항시 남구 연일읍 택전리 610-2경상북도 포항시 남구 연일읍 원서길 120, 1층054-292-11902023-03-29
9주식회사 미건기업경상북도 포항시 남구 대도동 5-50경상북도 포항시 남구 중앙로121번길 32, 2층 (대도동)054-283-11982023-03-29
소독업소명칭사무실 지번주소사무실소재지(도로명)영업소전화번호데이터기준일
52(주)화이트환경경상북도 포항시 남구 연일읍 오천리 714번지경상북도 포항시 남구 연일읍 동문로 42, 2층054-249-75792023-03-29
53금아용역경상북도 포항시 남구 대도동 585번지 4호경상북도 포항시 남구 상공로32번길 28 (대도동)054-273-22162023-03-29
54(주)휴비즈경상북도 포항시 남구 대도동 640번지 7호경상북도 포항시 남구 상공로 10, 8층 (대도동)054-278-25252023-03-29
55해충폴리스경상북도 포항시 남구 대도동 99번지 36호경상북도 포항시 남구 상공로134번길 21 (대도동)054-283-44462023-03-29
56(주)우진파크경상북도 포항시 남구 대잠동 971번지 2호 202호경상북도 포항시 남구 대이로 8 (대잠동, 동부하이빌)054-275-04202023-03-29
57주식회사 그린에스경상북도 포항시 남구 해도동 33번지 12호 학산타워빌딩경상북도 포항시 남구 중앙로 154, 학산타워빌딩 811호 (해도동)1566-47082023-03-29
58청수기업경상북도 포항시 남구 해도동 25번지 5호경상북도 포항시 남구 중앙로158번길 25 (해도동)054-282-72872023-03-29
59(주)신정경상북도 포항시 남구 대도동 640-7 매일신문사 동부지역본부경상북도 포항시 남구 상공로 10, 매일신문사 동부지역본부 지하1층 (대도동)054-282-34782023-03-29
60청우실업경상북도 포항시 남구 상도동 630번지 2호경상북도 포항시 남구 상도로42번길 8 (상도동)054-281-74472023-03-29
61(주)금원기업경상북도 포항시 남구 대도동 19번지 18호경상북도 포항시 남구 양학천로 156 (대도동)054-274-56412023-03-29