Overview

Dataset statistics

Number of variables4
Number of observations93
Missing cells45
Missing cells (%)12.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory34.4 B

Variable types

Numeric1
Text3

Dataset

Description대구광역시 수성구 관내 직업소개소현황으로 상호, 소재지, 전화번호 정보 등의 항목을 제공하며 업데이트 주기는 1년입니다.
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/15054485/fileData.do

Alerts

연락처 has 45 (48.4%) missing valuesMissing
연번 has unique valuesUnique
사업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:43:31.586653
Analysis finished2023-12-12 16:43:32.319890
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T01:43:32.432442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile88.4
Maximum93
Range92
Interquartile range (IQR)46

Descriptive statistics

Standard deviation26.990739
Coefficient of variation (CV)0.57427105
Kurtosis-1.2
Mean47
Median Absolute Deviation (MAD)23
Skewness0
Sum4371
Variance728.5
MonotonicityStrictly increasing
2023-12-13T01:43:32.588029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%

사업소명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T01:43:32.883259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.494624
Min length2

Characters and Unicode

Total characters976
Distinct characters199
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row(주)씨에이치인터내셔널
2nd row시크릿유료직업소개소
3rd row(주)정담피엔씨
4th row황금유료직업소개소
5th row도도유료직업소개소
ValueCountFrequency (%)
유료직업소개소 32
 
22.7%
주식회사 3
 
2.1%
직업소개소 3
 
2.1%
유료 2
 
1.4%
에이스 2
 
1.4%
매일 1
 
0.7%
대구수성시니어클럽무료직업소개소 1
 
0.7%
에듀림교육컨설팅 1
 
0.7%
건일인력유료직업소개소 1
 
0.7%
유료직업소개사업소 1
 
0.7%
Other values (94) 94
66.7%
2023-12-13T01:43:33.389802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 132
 
13.5%
개 74
 
7.6%
업 71
 
7.3%
직 67
 
6.9%
료 61
 
6.2%
유 60
 
6.1%
48
 
4.9%
인 27
 
2.8%
력 17
 
1.7%
대 12
 
1.2%
Other values (189) 407
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
92.1%
Space Separator 48
 
4.9%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Uppercase Letter 6
 
0.6%
Other Punctuation 3
 
0.3%
Lowercase Letter 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 132
 
14.7%
개 74
 
8.2%
업 71
 
7.9%
직 67
 
7.5%
료 61
 
6.8%
유 60
 
6.7%
인 27
 
3.0%
력 17
 
1.9%
대 12
 
1.3%
성 9
 
1.0%
Other values (174) 369
41.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
J 1
16.7%
C 1
16.7%
O 1
16.7%
T 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
' 1
33.3%
. 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
b 1
33.3%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
92.1%
Common 68
 
7.0%
Latin 9
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 132
 
14.7%
개 74
 
8.2%
업 71
 
7.9%
직 67
 
7.5%
료 61
 
6.8%
유 60
 
6.7%
인 27
 
3.0%
력 17
 
1.9%
대 12
 
1.3%
성 9
 
1.0%
Other values (174) 369
41.0%
Latin
ValueCountFrequency (%)
S 2
22.2%
J 1
11.1%
C 1
11.1%
O 1
11.1%
T 1
11.1%
s 1
11.1%
b 1
11.1%
o 1
11.1%
Common
ValueCountFrequency (%)
48
70.6%
) 8
 
11.8%
( 8
 
11.8%
& 1
 
1.5%
2 1
 
1.5%
' 1
 
1.5%
. 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
92.1%
ASCII 77
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 132
 
14.7%
개 74
 
8.2%
업 71
 
7.9%
직 67
 
7.5%
료 61
 
6.8%
유 60
 
6.7%
인 27
 
3.0%
력 17
 
1.9%
대 12
 
1.3%
성 9
 
1.0%
Other values (174) 369
41.0%
ASCII
ValueCountFrequency (%)
48
62.3%
) 8
 
10.4%
( 8
 
10.4%
S 2
 
2.6%
J 1
 
1.3%
& 1
 
1.3%
C 1
 
1.3%
O 1
 
1.3%
T 1
 
1.3%
2 1
 
1.3%
Other values (5) 5
 
6.5%

연락처
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing45
Missing (%)48.4%
Memory size876.0 B
2023-12-13T01:43:33.701963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters578
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

Unique48 ?
Unique (%)100.0%

Sample

1st row053-766-3338
2nd row053-765-1992
3rd row053-762-0400
4th row053-793-4175
5th row053-766-7738
ValueCountFrequency (%)
053-766-3338 1
 
2.1%
053-765-1992 1
 
2.1%
070-7623-8537 1
 
2.1%
053-784-6080 1
 
2.1%
053-781-4566 1
 
2.1%
053-763-1011 1
 
2.1%
053-269-3307 1
 
2.1%
053-742-5100 1
 
2.1%
053-421-8888 1
 
2.1%
053-761-4156 1
 
2.1%
Other values (38) 38
79.2%
2023-12-13T01:43:34.178082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
16.6%
0 87
15.1%
5 74
12.8%
3 74
12.8%
7 59
10.2%
6 49
8.5%
4 35
 
6.1%
1 33
 
5.7%
8 30
 
5.2%
2 21
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 482
83.4%
Dash Punctuation 96
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
18.0%
5 74
15.4%
3 74
15.4%
7 59
12.2%
6 49
10.2%
4 35
7.3%
1 33
 
6.8%
8 30
 
6.2%
2 21
 
4.4%
9 20
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
16.6%
0 87
15.1%
5 74
12.8%
3 74
12.8%
7 59
10.2%
6 49
8.5%
4 35
 
6.1%
1 33
 
5.7%
8 30
 
5.2%
2 21
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
16.6%
0 87
15.1%
5 74
12.8%
3 74
12.8%
7 59
10.2%
6 49
8.5%
4 35
 
6.1%
1 33
 
5.7%
8 30
 
5.2%
2 21
 
3.6%

소재지
Text

Distinct91
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T01:43:34.568053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length29.827957
Min length21

Characters and Unicode

Total characters2774
Distinct characters105
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)95.7%

Sample

1st row대구광역시 수성구 화랑로 22. 구세빌딩 3층 (만촌동)
2nd row대구광역시 수성구 동대구로 95. 지하1층 101호 (두산동. 수성 SK리더스뷰)
3rd row대구광역시 수성구 동대구로 390. 범어타워건물 1905호 (범어동)
4th row대구광역시 수성구 들안로25길 10-23(중동)
5th row대구광역시 수성구 명덕로 405-3(수성동2가)
ValueCountFrequency (%)
대구광역시 93
 
16.6%
수성구 93
 
16.6%
2층 23
 
4.1%
범어동 19
 
3.4%
1층 14
 
2.5%
황금동 11
 
2.0%
달구벌대로 9
 
1.6%
만촌동 9
 
1.6%
들안로 9
 
1.6%
3층 8
 
1.4%
Other values (174) 271
48.5%
2023-12-13T01:43:35.055683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
 
16.8%
구 214
 
7.7%
수 124
 
4.5%
대 121
 
4.4%
성 120
 
4.3%
동 116
 
4.2%
1 102
 
3.7%
시 100
 
3.6%
로 93
 
3.4%
) 93
 
3.4%
Other values (95) 1225
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1555
56.1%
Space Separator 466
 
16.8%
Decimal Number 461
 
16.6%
Close Punctuation 93
 
3.4%
Open Punctuation 93
 
3.4%
Other Punctuation 79
 
2.8%
Dash Punctuation 23
 
0.8%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 214
13.8%
수 124
 
8.0%
대 121
 
7.8%
성 120
 
7.7%
동 116
 
7.5%
시 100
 
6.4%
로 93
 
6.0%
광 93
 
6.0%
역 93
 
6.0%
층 56
 
3.6%
Other values (77) 425
27.3%
Decimal Number
ValueCountFrequency (%)
1 102
22.1%
2 73
15.8%
3 65
14.1%
4 44
9.5%
0 44
9.5%
8 33
 
7.2%
9 30
 
6.5%
6 28
 
6.1%
5 24
 
5.2%
7 18
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
W 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
466
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Other Punctuation
ValueCountFrequency (%)
. 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1555
56.1%
Common 1215
43.8%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 214
13.8%
수 124
 
8.0%
대 121
 
7.8%
성 120
 
7.7%
동 116
 
7.5%
시 100
 
6.4%
로 93
 
6.0%
광 93
 
6.0%
역 93
 
6.0%
층 56
 
3.6%
Other values (77) 425
27.3%
Common
ValueCountFrequency (%)
466
38.4%
1 102
 
8.4%
) 93
 
7.7%
( 93
 
7.7%
. 79
 
6.5%
2 73
 
6.0%
3 65
 
5.3%
4 44
 
3.6%
0 44
 
3.6%
8 33
 
2.7%
Other values (5) 123
 
10.1%
Latin
ValueCountFrequency (%)
S 2
50.0%
W 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1555
56.1%
ASCII 1219
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
466
38.2%
1 102
 
8.4%
) 93
 
7.6%
( 93
 
7.6%
. 79
 
6.5%
2 73
 
6.0%
3 65
 
5.3%
4 44
 
3.6%
0 44
 
3.6%
8 33
 
2.7%
Other values (8) 127
 
10.4%
Hangul
ValueCountFrequency (%)
구 214
13.8%
수 124
 
8.0%
대 121
 
7.8%
성 120
 
7.7%
동 116
 
7.5%
시 100
 
6.4%
로 93
 
6.0%
광 93
 
6.0%
역 93
 
6.0%
층 56
 
3.6%
Other values (77) 425
27.3%

Interactions

2023-12-13T01:43:32.042294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:43:35.177072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업소명연락처소재지
연번1.0001.0001.0000.867
사업소명1.0001.0001.0001.000
연락처1.0001.0001.0001.000
소재지0.8671.0001.0001.000

Missing values

2023-12-13T01:43:32.167223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:43:32.272651image/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

연번사업소명연락처소재지
01(주)씨에이치인터내셔널<NA>대구광역시 수성구 화랑로 22. 구세빌딩 3층 (만촌동)
12시크릿유료직업소개소053-766-3338대구광역시 수성구 동대구로 95. 지하1층 101호 (두산동. 수성 SK리더스뷰)
23(주)정담피엔씨<NA>대구광역시 수성구 동대구로 390. 범어타워건물 1905호 (범어동)
34황금유료직업소개소053-765-1992대구광역시 수성구 들안로25길 10-23(중동)
45도도유료직업소개소<NA>대구광역시 수성구 명덕로 405-3(수성동2가)
56코코유로직업소개소053-762-0400대구광역시 수성구 만촌로 49(만촌동)
67대승인력053-793-4175대구광역시 수성구 달구벌대로 3074. 2층 (시지동)
78삼팔유료직업소개소053-766-7738대구광역시 수성구 들안로16길 17. 1층 (두산동)
89대경간병인협회<NA>대구광역시 수성구 용학로 336. 108동 2층 8호 (범물동. 범물 하이츠)
9102STO<NA>대구광역시 수성구 동대구로 300. 401동 219호 (범어동. 범어 롯데캐슬)
연번사업소명연락처소재지
8384석림인력 유료직업소개소053-768-1059대구광역시 수성구 파동로 244 (파동)
8485미도개발 유료직업소개소053-754-8050대구광역시 수성구 달구벌대로526안길 21. 6층 (만촌동)
8586삼성어머니회 유료직업소개소053-761-7004대구광역시 수성구 수성로29길 8. 1층 (중동)
8687베테랑 유료직업소개소053-762-3036대구광역시 수성구 수성로 215. 4층 (중동)
8788화이트 유료직업소개소053-755-1223대구광역시 수성구 들안로 411-1. 2층 (범어동)
8889나래유료직업소개소053-764-8800대구광역시 수성구 청솔로 73. 2층 (수성동3가)
8990고려인력유료직업소개소053-741-1443대구광역시 수성구 국채보상로 1037. 1층 (만촌동)
9091효성어머니회유료직업소개소053-753-7182대구광역시 수성구 들안로 348. 3층 (수성동4가)
9192계명어머니회 유료직업소개소053-742-1866대구광역시 수성구 범어로26길 4 (범어동)
9293시지.경산인력유료직업소개소053-794-1470대구광역시 수성구 달구벌대로 3076. 2층 (시지동)