Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells11
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.1 B

Variable types

Text3
Categorical2

Dataset

Description공주시 직업소개소 현황에 대한 데이터로 직업소개소의 도로명주소, 전화번호, 비용지불 유무, 데이터의 기준이 되는 날짜를 안내하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=447&beforeMenuCd=DOM_000000201001001000&publicdatapk=3084528

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 11 (42.3%) missing valuesMissing
직업소개소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:29:58.760691
Analysis finished2024-01-09 21:29:59.073430
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

직업소개소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T06:29:59.194770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length8.3076923
Min length4

Characters and Unicode

Total characters216
Distinct characters79
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

Unique26 ?
Unique (%)100.0%

Sample

1st row중앙인력
2nd row강남인력사무소
3rd row주식회사 보물개발
4th row한성인력컨설팅
5th row장마루인력
ValueCountFrequency (%)
중앙인력 1
 
3.1%
강남인력사무소 1
 
3.1%
신관직업소개소 1
 
3.1%
신강북인력소개소 1
 
3.1%
대우인력직업소개소 1
 
3.1%
직업재활센터 1
 
3.1%
충남남부장애인종합복지관 1
 
3.1%
한성인력직업소개소 1
 
3.1%
화성직업소개소 1
 
3.1%
대한직업소개소 1
 
3.1%
Other values (22) 22
68.8%
2024-01-10T06:29:59.474086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 23
 
10.6%
인 17
 
7.9%
력 14
 
6.5%
개 13
 
6.0%
업 11
 
5.1%
직 11
 
5.1%
주 6
 
2.8%
6
 
2.8%
성 5
 
2.3%
공 5
 
2.3%
Other values (69) 105
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 210
97.2%
Space Separator 6
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 23
 
11.0%
인 17
 
8.1%
력 14
 
6.7%
개 13
 
6.2%
업 11
 
5.2%
직 11
 
5.2%
주 6
 
2.9%
성 5
 
2.4%
공 5
 
2.4%
남 5
 
2.4%
Other values (68) 100
47.6%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 210
97.2%
Common 6
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 23
 
11.0%
인 17
 
8.1%
력 14
 
6.7%
개 13
 
6.2%
업 11
 
5.2%
직 11
 
5.2%
주 6
 
2.9%
성 5
 
2.4%
공 5
 
2.4%
남 5
 
2.4%
Other values (68) 100
47.6%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 210
97.2%
ASCII 6
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 23
 
11.0%
인 17
 
8.1%
력 14
 
6.7%
개 13
 
6.2%
업 11
 
5.2%
직 11
 
5.2%
주 6
 
2.9%
성 5
 
2.4%
공 5
 
2.4%
남 5
 
2.4%
Other values (68) 100
47.6%
ASCII
ValueCountFrequency (%)
6
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T06:29:59.654124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27.5
Mean length23.653846
Min length21

Characters and Unicode

Total characters615
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row충청남도 공주시 번영3로 15， 2층 (신관동)
2nd row충청남도 공주시 웅진로 205， 2층 (산성동)
3rd row충청남도 공주시 정안면 정안중앙길 228， 1층
4th row충청남도 공주시 웅진로 206 (산성동)
5th row충청남도 공주시 탄천면 장마루로 953
ValueCountFrequency (%)
충청남도 26
19.0%
공주시 26
19.0%
신관동 6
 
4.4%
무령로 5
 
3.6%
웅진로 5
 
3.6%
중동 4
 
2.9%
산성동 4
 
2.9%
2층 3
 
2.2%
1층 2
 
1.5%
옥룡동 2
 
1.5%
Other values (49) 54
39.4%
2024-01-10T06:29:59.921124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
18.0%
주 27
 
4.4%
시 27
 
4.4%
충 26
 
4.2%
남 26
 
4.2%
도 26
 
4.2%
공 26
 
4.2%
청 26
 
4.2%
동 25
 
4.1%
) 23
 
3.7%
Other values (66) 272
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
57.9%
Space Separator 111
 
18.0%
Decimal Number 87
 
14.1%
Close Punctuation 23
 
3.7%
Open Punctuation 23
 
3.7%
Dash Punctuation 8
 
1.3%
Other Punctuation 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
7.6%
시 27
 
7.6%
충 26
 
7.3%
남 26
 
7.3%
도 26
 
7.3%
공 26
 
7.3%
청 26
 
7.3%
동 25
 
7.0%
로 16
 
4.5%
길 10
 
2.8%
Other values (51) 121
34.0%
Decimal Number
ValueCountFrequency (%)
1 21
24.1%
2 19
21.8%
5 11
12.6%
7 9
10.3%
3 6
 
6.9%
4 6
 
6.9%
8 5
 
5.7%
0 4
 
4.6%
6 4
 
4.6%
9 2
 
2.3%
Space Separator
ValueCountFrequency (%)
111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
， 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
57.9%
Common 259
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
7.6%
시 27
 
7.6%
충 26
 
7.3%
남 26
 
7.3%
도 26
 
7.3%
공 26
 
7.3%
청 26
 
7.3%
동 25
 
7.0%
로 16
 
4.5%
길 10
 
2.8%
Other values (51) 121
34.0%
Common
ValueCountFrequency (%)
111
42.9%
) 23
 
8.9%
( 23
 
8.9%
1 21
 
8.1%
2 19
 
7.3%
5 11
 
4.2%
7 9
 
3.5%
- 8
 
3.1%
， 7
 
2.7%
3 6
 
2.3%
Other values (5) 21
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
57.9%
ASCII 252
41.0%
None 7
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
44.0%
) 23
 
9.1%
( 23
 
9.1%
1 21
 
8.3%
2 19
 
7.5%
5 11
 
4.4%
7 9
 
3.6%
- 8
 
3.2%
3 6
 
2.4%
4 6
 
2.4%
Other values (4) 15
 
6.0%
Hangul
ValueCountFrequency (%)
주 27
 
7.6%
시 27
 
7.6%
충 26
 
7.3%
남 26
 
7.3%
도 26
 
7.3%
공 26
 
7.3%
청 26
 
7.3%
동 25
 
7.0%
로 16
 
4.5%
길 10
 
2.8%
Other values (51) 121
34.0%
None
ValueCountFrequency (%)
， 7
100.0%

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing11
Missing (%)42.3%
Memory size340.0 B
2024-01-10T06:30:00.054765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.933333
Min length11

Characters and Unicode

Total characters179
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

Unique15 ?
Unique (%)100.0%

Sample

1st row041-858-5111
2nd row041-881-7774
3rd row041-858-5020
4th row041-858-0069
5th row041-855-1181
ValueCountFrequency (%)
041 3
 
15.0%
041-858-5111 1
 
5.0%
041-858-3344 1
 
5.0%
041-858-5353 1
 
5.0%
041-858-1900 1
 
5.0%
041-856-7071 1
 
5.0%
041-858-2888 1
 
5.0%
8089 1
 
5.0%
853 1
 
5.0%
8553185 1
 
5.0%
Other values (8) 8
40.0%
2024-01-10T06:30:00.354992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 33
18.4%
1 27
15.1%
0 24
13.4%
- 24
13.4%
5 23
12.8%
4 20
11.2%
3 7
 
3.9%
7 5
 
2.8%
2 5
 
2.8%
5
 
2.8%
Other values (2) 6
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
83.8%
Dash Punctuation 24
 
13.4%
Space Separator 5
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 33
22.0%
1 27
18.0%
0 24
16.0%
5 23
15.3%
4 20
13.3%
3 7
 
4.7%
7 5
 
3.3%
2 5
 
3.3%
6 3
 
2.0%
9 3
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 179
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 33
18.4%
1 27
15.1%
0 24
13.4%
- 24
13.4%
5 23
12.8%
4 20
11.2%
3 7
 
3.9%
7 5
 
2.8%
2 5
 
2.8%
5
 
2.8%
Other values (2) 6
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 33
18.4%
1 27
15.1%
0 24
13.4%
- 24
13.4%
5 23
12.8%
4 20
11.2%
3 7
 
3.9%
7 5
 
2.8%
2 5
 
2.8%
5
 
2.8%
Other values (2) 6
 
3.4%

비용지불여부
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
유료
22 
무료
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유료
2nd row유료
3rd row유료
4th row유료
5th row유료

Common Values

ValueCountFrequency (%)
유료 22
84.6%
무료 4
 
15.4%

Length

2024-01-10T06:30:00.456036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:00.529040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 22
84.6%
무료 4
 
15.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2021-01-22
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-22
2nd row2021-01-22
3rd row2021-01-22
4th row2021-01-22
5th row2021-01-22

Common Values

ValueCountFrequency (%)
2021-01-22 26
100.0%

Length

2024-01-10T06:30:00.607916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:00.674911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-22 26
100.0%

Correlations

2024-01-10T06:30:00.717278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
직업소개소명소재지도로명주소전화번호비용지불여부
직업소개소명1.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
비용지불여부1.0001.0001.0001.000

Missing values

2024-01-10T06:29:58.961777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:29:59.042521image/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

직업소개소명소재지도로명주소전화번호비용지불여부데이터기준일
0중앙인력충청남도 공주시 번영3로 15， 2층 (신관동)041-858-5111유료2021-01-22
1강남인력사무소충청남도 공주시 웅진로 205， 2층 (산성동)041-881-7774유료2021-01-22
2주식회사 보물개발충청남도 공주시 정안면 정안중앙길 228， 1층<NA>유료2021-01-22
3한성인력컨설팅충청남도 공주시 웅진로 206 (산성동)<NA>유료2021-01-22
4장마루인력충청남도 공주시 탄천면 장마루로 953<NA>유료2021-01-22
5가나건설인력충청남도 공주시 웅진로 102-1 (중학동)<NA>유료2021-01-22
6열린교육충청남도 공주시 웅진로 152-1， 3층 (중동)041-858-5020유료2021-01-22
7공주시니어클럽충청남도 공주시 전막1길 15-6， 2층 (신관동)<NA>무료2021-01-22
8다솜 돌봄충청남도 공주시 무령로 259 (산성동)041-858-0069유료2021-01-22
9금강직업소개소충청남도 공주시 번영3로 4-7 (신관동， 근린생활시설)<NA>유료2021-01-22
직업소개소명소재지도로명주소전화번호비용지불여부데이터기준일
16공주인력충청남도 공주시 대통1길 53， 1층 (반죽동)041-858-3344유료2021-01-22
17사단법인 충청남도 다문화가정협회 공주시지회충청남도 공주시 양지마을2길 12 (금학동)<NA>무료2021-01-22
18대한직업소개소충청남도 공주시 번영2로 48-2 (신관동)041 853 8089유료2021-01-22
19화성직업소개소충청남도 공주시 무령로 265-1 (산성동)041-858-2888유료2021-01-22
20한성인력직업소개소충청남도 공주시 웅진로 138-1 (중동)<NA>유료2021-01-22
21충남남부장애인종합복지관 직업재활센터충청남도 공주시 계룡면 영규대사로 747041-856-7071무료2021-01-22
22대우인력직업소개소충청남도 공주시 국고개길 47 (중동)041-858-1900유료2021-01-22
23신강북인력소개소충청남도 공주시 전막1길 16-15 (신관동)041-858-5353유료2021-01-22
24신관직업소개소충청남도 공주시 번영1로 45 (신관동)<NA>유료2021-01-22
25개미직업소개소충청남도 공주시 매산동길 28 (신관동)041-854-8123유료2021-01-22