Overview

Dataset statistics

Number of variables6
Number of observations35
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory52.8 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description충청북도 청주시 서원구의 국내 유료직업소개사업소와 무료직업소개사업소 전부 포함된 2014년도 현황에 대한 데이터 입니다.
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15051168/fileData.do

Alerts

순번 is highly overall correlated with 유무료High correlation
유무료 is highly overall correlated with 순번High correlation
전화번호 has 1 (2.9%) missing valuesMissing
순번 has unique valuesUnique
직업소개소 명칭 has unique valuesUnique
소재지 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:43:48.906111
Analysis finished2023-12-12 07:43:49.372995
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T16:43:49.428905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T16:43:49.533749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

직업소개소 명칭
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T16:43:49.707540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length9.8857143
Min length7

Characters and Unicode

Total characters346
Distinct characters95
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row사)한국음식회중앙회 충북지회청주시흥덕구지부
2nd row혜원장애인 종합복지관장애인무료직업소개소
3rd row충북시민문화센터충북여성인력취업지원센터
4th row(재)대한산업인력개발원
5th row(사)충북사회교육센터
ValueCountFrequency (%)
사)한국음식회중앙회 1
 
2.6%
가현직업소개소 1
 
2.6%
동부건축개발직업소개소 1
 
2.6%
한솔인력개발직업소개소 1
 
2.6%
사직직업소개소 1
 
2.6%
건설인력직업소개소 1
 
2.6%
가경직업소개소 1
 
2.6%
청주아줌마직업소개소 1
 
2.6%
세광직업소개소 1
 
2.6%
진성직업소개소 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T16:43:50.259535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 60
17.3%
개 35
 
10.1%
업 34
 
9.8%
직 31
 
9.0%
인 16
 
4.6%
력 13
 
3.8%
사 7
 
2.0%
충 6
 
1.7%
북 5
 
1.4%
발 5
 
1.4%
Other values (85) 134
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
97.4%
Space Separator 3
 
0.9%
Close Punctuation 3
 
0.9%
Open Punctuation 2
 
0.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 60
17.8%
개 35
 
10.4%
업 34
 
10.1%
직 31
 
9.2%
인 16
 
4.7%
력 13
 
3.9%
사 7
 
2.1%
충 6
 
1.8%
북 5
 
1.5%
발 5
 
1.5%
Other values (81) 125
37.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
97.7%
Common 8
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 60
17.8%
개 35
 
10.4%
업 34
 
10.1%
직 31
 
9.2%
인 16
 
4.7%
력 13
 
3.8%
사 7
 
2.1%
충 6
 
1.8%
북 5
 
1.5%
발 5
 
1.5%
Other values (82) 126
37.3%
Common
ValueCountFrequency (%)
3
37.5%
) 3
37.5%
( 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
97.4%
ASCII 8
 
2.3%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 60
17.8%
개 35
 
10.4%
업 34
 
10.1%
직 31
 
9.2%
인 16
 
4.7%
력 13
 
3.9%
사 7
 
2.1%
충 6
 
1.8%
북 5
 
1.5%
발 5
 
1.5%
Other values (81) 125
37.1%
ASCII
ValueCountFrequency (%)
3
37.5%
) 3
37.5%
( 2
25.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T16:43:50.429021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length14.885714
Min length12

Characters and Unicode

Total characters521
Distinct characters43
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

Unique35 ?
Unique (%)100.0%

Sample

1st row서원구 사창동 254-7 영화빌딩
2nd row서원구 미평동 271-7
3rd row서원구 산남동 660 산남매직프라자 7층
4th row서원구 사직동 600-20
5th row서원구 사직동 560-30
ValueCountFrequency (%)
서원구 35
29.9%
사직동 14
 
12.0%
사창동 6
 
5.1%
수곡동 5
 
4.3%
모충동 5
 
4.3%
2층 3
 
2.6%
사직2동 2
 
1.7%
316-35 1
 
0.9%
403-1 1
 
0.9%
264-17 1
 
0.9%
Other values (44) 44
37.6%
2023-12-12T16:43:50.710475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
16.3%
동 36
 
6.9%
서 35
 
6.7%
구 35
 
6.7%
원 35
 
6.7%
2 31
 
6.0%
- 31
 
6.0%
1 29
 
5.6%
사 23
 
4.4%
3 19
 
3.6%
Other values (33) 162
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
46.1%
Decimal Number 161
30.9%
Space Separator 85
 
16.3%
Dash Punctuation 31
 
6.0%
Other Punctuation 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 36
15.0%
서 35
14.6%
구 35
14.6%
원 35
14.6%
사 23
9.6%
직 18
7.5%
층 7
 
2.9%
곡 6
 
2.5%
수 6
 
2.5%
창 6
 
2.5%
Other values (17) 33
13.8%
Decimal Number
ValueCountFrequency (%)
2 31
19.3%
1 29
18.0%
3 19
11.8%
0 15
9.3%
5 15
9.3%
6 14
8.7%
4 14
8.7%
7 10
 
6.2%
9 10
 
6.2%
8 4
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 281
53.9%
Hangul 240
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 36
15.0%
서 35
14.6%
구 35
14.6%
원 35
14.6%
사 23
9.6%
직 18
7.5%
층 7
 
2.9%
곡 6
 
2.5%
수 6
 
2.5%
창 6
 
2.5%
Other values (17) 33
13.8%
Common
ValueCountFrequency (%)
85
30.2%
2 31
 
11.0%
- 31
 
11.0%
1 29
 
10.3%
3 19
 
6.8%
0 15
 
5.3%
5 15
 
5.3%
6 14
 
5.0%
4 14
 
5.0%
7 10
 
3.6%
Other values (6) 18
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
53.9%
Hangul 240
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
30.2%
2 31
 
11.0%
- 31
 
11.0%
1 29
 
10.3%
3 19
 
6.8%
0 15
 
5.3%
5 15
 
5.3%
6 14
 
5.0%
4 14
 
5.0%
7 10
 
3.6%
Other values (6) 18
 
6.4%
Hangul
ValueCountFrequency (%)
동 36
15.0%
서 35
14.6%
구 35
14.6%
원 35
14.6%
사 23
9.6%
직 18
7.5%
층 7
 
2.9%
곡 6
 
2.5%
수 6
 
2.5%
창 6
 
2.5%
Other values (17) 33
13.8%

대표자
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T16:43:50.892234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters105
Distinct characters64
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

Unique35 ?
Unique (%)100.0%

Sample

1st row김태곤
2nd row이재례
3rd row김재수
4th row지명구
5th row김봉숙
ValueCountFrequency (%)
김태곤 1
 
2.9%
김길수 1
 
2.9%
최하종 1
 
2.9%
이한진 1
 
2.9%
김현수 1
 
2.9%
고미건 1
 
2.9%
주금자 1
 
2.9%
신승택 1
 
2.9%
진성수 1
 
2.9%
우선택 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T16:43:51.156336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
8.6%
성 6
 
5.7%
이 6
 
5.7%
수 4
 
3.8%
진 4
 
3.8%
재 3
 
2.9%
금 2
 
1.9%
신 2
 
1.9%
학 2
 
1.9%
철 2
 
1.9%
Other values (54) 65
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
8.6%
성 6
 
5.7%
이 6
 
5.7%
수 4
 
3.8%
진 4
 
3.8%
재 3
 
2.9%
금 2
 
1.9%
신 2
 
1.9%
학 2
 
1.9%
철 2
 
1.9%
Other values (54) 65
61.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
8.6%
성 6
 
5.7%
이 6
 
5.7%
수 4
 
3.8%
진 4
 
3.8%
재 3
 
2.9%
금 2
 
1.9%
신 2
 
1.9%
학 2
 
1.9%
철 2
 
1.9%
Other values (54) 65
61.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
8.6%
성 6
 
5.7%
이 6
 
5.7%
수 4
 
3.8%
진 4
 
3.8%
재 3
 
2.9%
금 2
 
1.9%
신 2
 
1.9%
학 2
 
1.9%
철 2
 
1.9%
Other values (54) 65
61.9%

전화번호
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size412.0 B
2023-12-12T16:43:51.328007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters272
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 row267-7243
2nd row295-2505
3rd row283-0787
4th row263-3207
5th row275-6062
ValueCountFrequency (%)
267-7243 1
 
2.9%
268-1104 1
 
2.9%
276-8204 1
 
2.9%
268-0842 1
 
2.9%
266-4973 1
 
2.9%
272-2027 1
 
2.9%
275-2084 1
 
2.9%
277-5704 1
 
2.9%
275-3132 1
 
2.9%
266-3378 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T16:43:51.592589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 57
21.0%
- 34
12.5%
7 30
11.0%
0 27
9.9%
6 22
 
8.1%
3 21
 
7.7%
4 20
 
7.4%
1 18
 
6.6%
8 17
 
6.2%
5 16
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 238
87.5%
Dash Punctuation 34
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 57
23.9%
7 30
12.6%
0 27
11.3%
6 22
 
9.2%
3 21
 
8.8%
4 20
 
8.4%
1 18
 
7.6%
8 17
 
7.1%
5 16
 
6.7%
9 10
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 57
21.0%
- 34
12.5%
7 30
11.0%
0 27
9.9%
6 22
 
8.1%
3 21
 
7.7%
4 20
 
7.4%
1 18
 
6.6%
8 17
 
6.2%
5 16
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 57
21.0%
- 34
12.5%
7 30
11.0%
0 27
9.9%
6 22
 
8.1%
3 21
 
7.7%
4 20
 
7.4%
1 18
 
6.6%
8 17
 
6.2%
5 16
 
5.9%

유무료
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
유료
30 
무료
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 30
85.7%
무료 5
 
14.3%

Length

2023-12-12T16:43:51.700424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:51.776111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 30
85.7%
무료 5
 
14.3%

Interactions

2023-12-12T16:43:49.163631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:43:51.832381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번직업소개소 명칭소재지대표자전화번호유무료
순번1.0001.0001.0001.0001.0000.984
직업소개소 명칭1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
유무료0.9841.0001.0001.0001.0001.000
2023-12-12T16:43:51.917483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료
순번1.0000.773
유무료0.7731.000

Missing values

2023-12-12T16:43:49.256716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:43:49.337906image/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

순번직업소개소 명칭소재지대표자전화번호유무료
01사)한국음식회중앙회 충북지회청주시흥덕구지부서원구 사창동 254-7 영화빌딩김태곤267-7243무료
12혜원장애인 종합복지관장애인무료직업소개소서원구 미평동 271-7이재례295-2505무료
23충북시민문화센터충북여성인력취업지원센터서원구 산남동 660 산남매직프라자 7층김재수283-0787무료
34(재)대한산업인력개발원서원구 사직동 600-20지명구263-3207무료
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