Overview

Dataset statistics

Number of variables5
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory44.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description직업소개소 현황 데이터는 직업소개소 상호명, 주소, 전화번호, 소개직종 정보를 포함하고 있습니다.총 32개의 직업소개소가 존재합니다.
Author충청남도 예산군
URLhttps://www.data.go.kr/data/15076633/fileData.do

Alerts

주 소개직종 has constant value ""Constant
연번 has unique valuesUnique
상호명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:59:04.326148
Analysis finished2024-03-15 00:59:05.462808
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size497.0 B
2024-03-15T09:59:05.675447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2024-03-15T09:59:06.138648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

상호명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T09:59:06.916256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.6829268
Min length2

Characters and Unicode

Total characters233
Distinct characters75
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row믿음인력
2nd row가야직업소개소
3rd row지구인력
4th row희망직업소개소
5th row충청인력
ValueCountFrequency (%)
믿음인력 1
 
2.3%
개미인력 1
 
2.3%
삽교용역직업소개소 1
 
2.3%
대한용역 1
 
2.3%
야곱인력 1
 
2.3%
정다운인력 1
 
2.3%
연주인력건설 1
 
2.3%
예당 1
 
2.3%
백송인력 1
 
2.3%
유일용역 1
 
2.3%
Other values (33) 33
76.7%
2024-03-15T09:59:08.086162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 29
 
12.4%
인 27
 
11.6%
력 27
 
11.6%
개 14
 
6.0%
업 13
 
5.6%
직 12
 
5.2%
대 5
 
2.1%
가 4
 
1.7%
용 4
 
1.7%
역 4
 
1.7%
Other values (65) 94
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
97.9%
Decimal Number 3
 
1.3%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 29
 
12.7%
인 27
 
11.8%
력 27
 
11.8%
개 14
 
6.1%
업 13
 
5.7%
직 12
 
5.3%
대 5
 
2.2%
가 4
 
1.8%
용 4
 
1.8%
역 4
 
1.8%
Other values (62) 89
39.0%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
97.9%
Common 5
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 29
 
12.7%
인 27
 
11.8%
력 27
 
11.8%
개 14
 
6.1%
업 13
 
5.7%
직 12
 
5.3%
대 5
 
2.2%
가 4
 
1.8%
용 4
 
1.8%
역 4
 
1.8%
Other values (62) 89
39.0%
Common
ValueCountFrequency (%)
2
40.0%
1 2
40.0%
4 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
97.9%
ASCII 5
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 29
 
12.7%
인 27
 
11.8%
력 27
 
11.8%
개 14
 
6.1%
업 13
 
5.7%
직 12
 
5.3%
대 5
 
2.2%
가 4
 
1.8%
용 4
 
1.8%
역 4
 
1.8%
Other values (62) 89
39.0%
ASCII
ValueCountFrequency (%)
2
40.0%
1 2
40.0%
4 1
20.0%

주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T09:59:09.275753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length22.390244
Min length16

Characters and Unicode

Total characters918
Distinct characters80
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

Unique41 ?
Unique (%)100.0%

Sample

1st row충청남도 예산군 덕산면 덕산온천로 421， 2층
2nd row충청남도 예산군 덕산면 예덕로 11
3rd row충청남도 예산군 삽교읍 청사로 225， 엔젤스타워 2차 307호
4th row충청남도 예산군 삽교읍 청사로 225， 엔젤스타워2 301호
5th row충청남도 예산군 예산읍 역전로 30
ValueCountFrequency (%)
충청남도 41
18.6%
예산군 41
18.6%
예산읍 23
 
10.4%
삽교읍 8
 
3.6%
덕산면 5
 
2.3%
2층 4
 
1.8%
예산로 4
 
1.8%
역전로 4
 
1.8%
삽교로 3
 
1.4%
3 3
 
1.4%
Other values (75) 85
38.5%
2024-03-15T09:59:10.594148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
19.6%
산 82
 
8.9%
예 73
 
8.0%
청 44
 
4.8%
충 42
 
4.6%
남 42
 
4.6%
군 42
 
4.6%
도 41
 
4.5%
로 36
 
3.9%
1 32
 
3.5%
Other values (70) 304
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 585
63.7%
Space Separator 180
 
19.6%
Decimal Number 135
 
14.7%
Other Punctuation 12
 
1.3%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 82
14.0%
예 73
12.5%
청 44
 
7.5%
충 42
 
7.2%
남 42
 
7.2%
군 42
 
7.2%
도 41
 
7.0%
로 36
 
6.2%
읍 31
 
5.3%
교 13
 
2.2%
Other values (56) 139
23.8%
Decimal Number
ValueCountFrequency (%)
1 32
23.7%
2 31
23.0%
3 21
15.6%
6 10
 
7.4%
7 10
 
7.4%
0 10
 
7.4%
4 7
 
5.2%
5 6
 
4.4%
9 4
 
3.0%
8 4
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 6
50.0%
， 6
50.0%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 585
63.7%
Common 333
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 82
14.0%
예 73
12.5%
청 44
 
7.5%
충 42
 
7.2%
남 42
 
7.2%
군 42
 
7.2%
도 41
 
7.0%
로 36
 
6.2%
읍 31
 
5.3%
교 13
 
2.2%
Other values (56) 139
23.8%
Common
ValueCountFrequency (%)
180
54.1%
1 32
 
9.6%
2 31
 
9.3%
3 21
 
6.3%
6 10
 
3.0%
7 10
 
3.0%
0 10
 
3.0%
4 7
 
2.1%
- 6
 
1.8%
, 6
 
1.8%
Other values (4) 20
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 585
63.7%
ASCII 327
35.6%
None 6
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
55.0%
1 32
 
9.8%
2 31
 
9.5%
3 21
 
6.4%
6 10
 
3.1%
7 10
 
3.1%
0 10
 
3.1%
4 7
 
2.1%
- 6
 
1.8%
, 6
 
1.8%
Other values (3) 14
 
4.3%
Hangul
ValueCountFrequency (%)
산 82
14.0%
예 73
12.5%
청 44
 
7.5%
충 42
 
7.2%
남 42
 
7.2%
군 42
 
7.2%
도 41
 
7.0%
로 36
 
6.2%
읍 31
 
5.3%
교 13
 
2.2%
Other values (56) 139
23.8%
None
ValueCountFrequency (%)
， 6
100.0%

전화번호
Text

Distinct26
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T09:59:11.298180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.170732
Min length7

Characters and Unicode

Total characters417
Distinct characters18
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

Unique24 ?
Unique (%)58.5%

Sample

1st row041-338-0168
2nd row041-337-9992
3rd row041-331-7351
4th row041-338-1888
5th row041-332-0477
ValueCountFrequency (%)
데이터 15
26.8%
미집계 15
26.8%
041-338-7759 2
 
3.6%
041-335-4867 1
 
1.8%
041-338-0168 1
 
1.8%
041-334-7200 1
 
1.8%
041-335-0482 1
 
1.8%
041-332-3008 1
 
1.8%
041-334-2065 1
 
1.8%
041-333-3755 1
 
1.8%
Other values (17) 17
30.4%
2024-03-15T09:59:12.862453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 62
14.9%
- 52
12.5%
0 44
10.6%
1 41
9.8%
4 38
 
9.1%
7 20
 
4.8%
5 16
 
3.8%
이 15
 
3.6%
데 15
 
3.6%
계 15
 
3.6%
Other values (8) 99
23.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
62.4%
Other Letter 90
 
21.6%
Dash Punctuation 52
 
12.5%
Space Separator 15
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 62
23.8%
0 44
16.9%
1 41
15.8%
4 38
14.6%
7 20
 
7.7%
5 16
 
6.2%
8 13
 
5.0%
2 13
 
5.0%
9 7
 
2.7%
6 6
 
2.3%
Other Letter
ValueCountFrequency (%)
이 15
16.7%
데 15
16.7%
계 15
16.7%
집 15
16.7%
미 15
16.7%
터 15
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 327
78.4%
Hangul 90
 
21.6%

Most frequent character per script

Common
ValueCountFrequency (%)
3 62
19.0%
- 52
15.9%
0 44
13.5%
1 41
12.5%
4 38
11.6%
7 20
 
6.1%
5 16
 
4.9%
15
 
4.6%
8 13
 
4.0%
2 13
 
4.0%
Other values (2) 13
 
4.0%
Hangul
ValueCountFrequency (%)
이 15
16.7%
데 15
16.7%
계 15
16.7%
집 15
16.7%
미 15
16.7%
터 15
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
78.4%
Hangul 90
 
21.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 62
19.0%
- 52
15.9%
0 44
13.5%
1 41
12.5%
4 38
11.6%
7 20
 
6.1%
5 16
 
4.9%
15
 
4.6%
8 13
 
4.0%
2 13
 
4.0%
Other values (2) 13
 
4.0%
Hangul
ValueCountFrequency (%)
이 15
16.7%
데 15
16.7%
계 15
16.7%
집 15
16.7%
미 15
16.7%
터 15
16.7%

주 소개직종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size456.0 B
건설및광업단순종사원
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건설및광업단순종사원 41
100.0%

Length

2024-03-15T09:59:13.399838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:59:13.777954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설및광업단순종사원 41
100.0%

Interactions

2024-03-15T09:59:04.671609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:59:14.007520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명주소전화번호
연번1.0001.0001.0000.705
상호명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호0.7051.0001.0001.000

Missing values

2024-03-15T09:59:05.027487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:59:05.344785image/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

연번상호명주소전화번호주 소개직종
01믿음인력충청남도 예산군 덕산면 덕산온천로 421， 2층041-338-0168건설및광업단순종사원
12가야직업소개소충청남도 예산군 덕산면 예덕로 11041-337-9992건설및광업단순종사원
23지구인력충청남도 예산군 삽교읍 청사로 225， 엔젤스타워 2차 307호041-331-7351건설및광업단순종사원
34희망직업소개소충청남도 예산군 삽교읍 청사로 225， 엔젤스타워2 301호041-338-1888건설및광업단순종사원
45충청인력충청남도 예산군 예산읍 역전로 30041-332-0477건설및광업단순종사원
56현담직업소개소충청남도 예산군 예산읍 역전로 46041-335-4925건설및광업단순종사원
67대광인력사무소충청남도 예산군 예산읍 예산로 19041-337-0230건설및광업단순종사원
78114인력사무소충청남도 예산군 예산읍 예산로 8041-334-0244건설및광업단순종사원
89오가인력충청남도 예산군 예산읍 예산산업단지안길 25-23, 1층데이터 미집계건설및광업단순종사원
910신례원용역충청남도 예산군 예산읍 창말로 39데이터 미집계건설및광업단순종사원
연번상호명주소전화번호주 소개직종
3132개미인력 예산점충청남도 예산군 삽교읍 삽교로1길 3데이터 미집계건설및광업단순종사원
3233응봉직업소개소충청남도 예산군 응봉면 예당로 1620데이터 미집계건설및광업단순종사원
3334장원인력충청남도 예산군 예산읍 금오대로 35-17, 3층데이터 미집계건설및광업단순종사원
3435대성직업소개소충청남도 예산군 예산읍 아리랑로 38, 101호데이터 미집계건설및광업단순종사원
3536나눔인력충청남도 예산군 삽교읍 애향11길 27,1층데이터 미집계건설및광업단순종사원
3637한결인력충청남도 예산군 예산로 147데이터 미집계건설및광업단순종사원
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