Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory36.0 B

Variable types

Text3
Categorical1

Dataset

Description건설하도급 부조리 신고센터 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4ZYUHO1M511SD7A4FVIT19477313&infSeq=1

Alerts

담당자명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:15:53.236912
Analysis finished2023-12-10 21:15:53.564415
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T06:15:53.681463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0909091
Min length3

Characters and Unicode

Total characters102
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row가평군
2nd row경기도
3rd row고양시
4th row과천시
5th row광명시
ValueCountFrequency (%)
시흥시 2
 
6.1%
가평군 1
 
3.0%
안양시 1
 
3.0%
하남시 1
 
3.0%
포천시 1
 
3.0%
평택시 1
 
3.0%
파주시 1
 
3.0%
이천시 1
 
3.0%
의정부시 1
 
3.0%
의왕시 1
 
3.0%
Other values (22) 22
66.7%
2023-12-11T06:15:54.019792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 31
30.4%
천 6
 
5.9%
양 5
 
4.9%
주 5
 
4.9%
군 4
 
3.9%
안 3
 
2.9%
남 3
 
2.9%
포 3
 
2.9%
성 3
 
2.9%
평 3
 
2.9%
Other values (31) 36
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 31
30.4%
천 6
 
5.9%
양 5
 
4.9%
주 5
 
4.9%
군 4
 
3.9%
안 3
 
2.9%
남 3
 
2.9%
포 3
 
2.9%
성 3
 
2.9%
평 3
 
2.9%
Other values (31) 36
35.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 31
30.4%
천 6
 
5.9%
양 5
 
4.9%
주 5
 
4.9%
군 4
 
3.9%
안 3
 
2.9%
남 3
 
2.9%
포 3
 
2.9%
성 3
 
2.9%
평 3
 
2.9%
Other values (31) 36
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 31
30.4%
천 6
 
5.9%
양 5
 
4.9%
주 5
 
4.9%
군 4
 
3.9%
안 3
 
2.9%
남 3
 
2.9%
포 3
 
2.9%
성 3
 
2.9%
평 3
 
2.9%
Other values (31) 36
35.3%

담당부서명
Categorical

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
건설과
11 
도로과
7 
건설정책과
3 
건설도로과
2 
도로건설과
2 
Other values (6)
8 

Length

Max length7
Median length3
Mean length3.969697
Min length3

Unique

Unique4 ?
Unique (%)12.1%

Sample

1st row건설과
2nd row공정건설정책과
3rd row도로정책과
4th row건설과
5th row도로과

Common Values

ValueCountFrequency (%)
건설과 11
33.3%
도로과 7
21.2%
건설정책과 3
 
9.1%
건설도로과 2
 
6.1%
도로건설과 2
 
6.1%
건설행정과 2
 
6.1%
건설관리과 2
 
6.1%
공정건설정책과 1
 
3.0%
도로정책과 1
 
3.0%
안전건설과 1
 
3.0%

Length

2023-12-11T06:15:54.159570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건설과 11
33.3%
도로과 7
21.2%
건설정책과 3
 
9.1%
건설도로과 2
 
6.1%
도로건설과 2
 
6.1%
건설행정과 2
 
6.1%
건설관리과 2
 
6.1%
공정건설정책과 1
 
3.0%
도로정책과 1
 
3.0%
안전건설과 1
 
3.0%

담당자명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T06:15:54.381592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters99
Distinct characters52
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row이민형
2nd row임정아
3rd row이석구
4th row황지혜
5th row이경백
ValueCountFrequency (%)
강 2
 
5.7%
이민형 1
 
2.9%
고지운 1
 
2.9%
정현철 1
 
2.9%
정혜련 1
 
2.9%
오은혜 1
 
2.9%
장지우 1
 
2.9%
손민지 1
 
2.9%
장권순 1
 
2.9%
김현재 1
 
2.9%
Other values (24) 24
68.6%
2023-12-11T06:15:54.745645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 7
 
7.1%
김 7
 
7.1%
이 6
 
6.1%
현 6
 
6.1%
혜 6
 
6.1%
지 5
 
5.1%
강 4
 
4.0%
경 4
 
4.0%
3
 
3.0%
은 3
 
3.0%
Other values (42) 48
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
97.0%
Space Separator 3
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 7
 
7.3%
김 7
 
7.3%
이 6
 
6.2%
현 6
 
6.2%
혜 6
 
6.2%
지 5
 
5.2%
강 4
 
4.2%
경 4
 
4.2%
은 3
 
3.1%
장 2
 
2.1%
Other values (41) 46
47.9%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
97.0%
Common 3
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 7
 
7.3%
김 7
 
7.3%
이 6
 
6.2%
현 6
 
6.2%
혜 6
 
6.2%
지 5
 
5.2%
강 4
 
4.2%
경 4
 
4.2%
은 3
 
3.1%
장 2
 
2.1%
Other values (41) 46
47.9%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
97.0%
ASCII 3
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 7
 
7.3%
김 7
 
7.3%
이 6
 
6.2%
현 6
 
6.2%
혜 6
 
6.2%
지 5
 
5.2%
강 4
 
4.2%
경 4
 
4.2%
은 3
 
3.1%
장 2
 
2.1%
Other values (41) 46
47.9%
ASCII
ValueCountFrequency (%)
3
100.0%

전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T06:15:54.987100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.212121
Min length12

Characters and Unicode

Total characters403
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

Unique33 ?
Unique (%)100.0%

Sample

1st row031-580-2422
2nd row031-8030-3848
3rd row031-8075-2842
4th row02-3677-2425
5th row02-2680-2925
ValueCountFrequency (%)
031-580-2422 1
 
3.0%
031-678-2756 1
 
3.0%
031-790-5198 1
 
3.0%
031-538-2421 1
 
3.0%
031-8024-4725 1
 
3.0%
031-940-4641 1
 
3.0%
031-644-2425 1
 
3.0%
031-828-4995 1
 
3.0%
031-345-3352 1
 
3.0%
031-324-2422 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T06:15:55.324894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.4%
0 55
13.6%
3 54
13.4%
2 53
13.2%
1 38
9.4%
8 28
6.9%
4 27
6.7%
5 26
 
6.5%
7 20
 
5.0%
6 19
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 337
83.6%
Dash Punctuation 66
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
16.3%
3 54
16.0%
2 53
15.7%
1 38
11.3%
8 28
8.3%
4 27
8.0%
5 26
7.7%
7 20
 
5.9%
6 19
 
5.6%
9 17
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.4%
0 55
13.6%
3 54
13.4%
2 53
13.2%
1 38
9.4%
8 28
6.9%
4 27
6.7%
5 26
 
6.5%
7 20
 
5.0%
6 19
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.4%
0 55
13.6%
3 54
13.4%
2 53
13.2%
1 38
9.4%
8 28
6.9%
4 27
6.7%
5 26
 
6.5%
7 20
 
5.0%
6 19
 
4.7%

Correlations

2023-12-11T06:15:55.427289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명담당부서명담당자명전화번호
시군명1.0001.0001.0001.000
담당부서명1.0001.0001.0001.000
담당자명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-11T06:15:53.450522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:15:53.533953image/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

시군명담당부서명담당자명전화번호
0가평군건설과이민형031-580-2422
1경기도공정건설정책과임정아031-8030-3848
2고양시도로정책과이석구031-8075-2842
3과천시건설과황지혜02-3677-2425
4광명시도로과이경백02-2680-2925
5광주시건설과우선희031-760-2697
6구리시도로과차채호031-550-2749
7군포시건설과김경빈031-390-0327
8김포시건설도로과이경준031-980-2426
9남양주시도로건설과김정인031-590-8236
시군명담당부서명담당자명전화번호
23오산시도로과손민지031-8036-7688
24용인시건설정책과장권순031-324-2422
25의왕시도로건설과고지운031-345-3352
26의정부시시민안전과김현재031-828-4995
27이천시건설과이혜원031-644-2425
28파주시건설과강 원031-940-4641
29평택시건설도로과강영은031-8024-4725
30포천시도로과강 경031-538-2421
31하남시건설과김은지031-790-5198
32화성시건설과정미현031-5189-3222