Overview

Dataset statistics

Number of variables4
Number of observations93
Missing cells44
Missing cells (%)11.8%
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_직업소개소현황_20191125
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15054485&dataSetDetailId=150544851d74061bcb46e&provdMethod=FILE

Alerts

연락처 has 44 (47.3%) missing valuesMissing
연번 has unique valuesUnique
사업소명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 03:00:07.067649
Analysis finished2024-04-21 03:00:08.107545
Duration1.04 second
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 size965.0 B
2024-04-21T12:00:08.237770image/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
2024-04-21T12:00:08.477451image/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 size872.0 B
2024-04-21T12:00:09.340656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.053763
Min length4

Characters and Unicode

Total characters1028
Distinct characters193
Distinct categories7 ?
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 row다원개발
2nd row만촌직업소개소
3rd row주식회사 행복인디제이
4th row달구벌인력개발 직업소개소
5th row주식회사 피에스에이치알
ValueCountFrequency (%)
유료직업소개소 42
27.8%
주식회사 5
 
3.3%
인력 2
 
1.3%
에이스 2
 
1.3%
다원개발 1
 
0.7%
건일인력유료직업소개소 1
 
0.7%
대구지점 1
 
0.7%
디앤워크(주)유료직업소개소 1
 
0.7%
대구장애인종합복지관 1
 
0.7%
장수케어서비스유료직업소개소 1
 
0.7%
Other values (94) 94
62.3%
2024-04-21T12:00:10.483783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 142
 
13.8%
개 81
 
7.9%
업 75
 
7.3%
직 72
 
7.0%
료 67
 
6.5%
유 65
 
6.3%
58
 
5.6%
인 26
 
2.5%
력 19
 
1.8%
사 13
 
1.3%
Other values (183) 410
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 948
92.2%
Space Separator 58
 
5.6%
Open Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%
Lowercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 142
 
15.0%
개 81
 
8.5%
업 75
 
7.9%
직 72
 
7.6%
료 67
 
7.1%
유 65
 
6.9%
인 26
 
2.7%
력 19
 
2.0%
사 13
 
1.4%
회 13
 
1.4%
Other values (174) 375
39.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
b 1
33.3%
s 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
' 1
50.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
92.2%
Common 76
 
7.4%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 142
 
15.0%
개 81
 
8.5%
업 75
 
7.9%
직 72
 
7.6%
료 67
 
7.1%
유 65
 
6.9%
인 26
 
2.7%
력 19
 
2.0%
사 13
 
1.4%
회 13
 
1.4%
Other values (174) 375
39.6%
Common
ValueCountFrequency (%)
58
76.3%
( 8
 
10.5%
) 8
 
10.5%
. 1
 
1.3%
' 1
 
1.3%
Latin
ValueCountFrequency (%)
J 1
25.0%
o 1
25.0%
b 1
25.0%
s 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 948
92.2%
ASCII 80
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 142
 
15.0%
개 81
 
8.5%
업 75
 
7.9%
직 72
 
7.6%
료 67
 
7.1%
유 65
 
6.9%
인 26
 
2.7%
력 19
 
2.0%
사 13
 
1.4%
회 13
 
1.4%
Other values (174) 375
39.6%
ASCII
ValueCountFrequency (%)
58
72.5%
( 8
 
10.0%
) 8
 
10.0%
. 1
 
1.2%
J 1
 
1.2%
o 1
 
1.2%
b 1
 
1.2%
' 1
 
1.2%
s 1
 
1.2%

연락처
Text

MISSING 

Distinct49
Distinct (%)100.0%
Missing44
Missing (%)47.3%
Memory size872.0 B
2024-04-21T12:00:11.298877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters588
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

Unique49 ?
Unique (%)100.0%

Sample

1st row053-525-8597
2nd row053-383-7999
3rd row053-761-0614
4th row053-766-1777
5th row053-243-1005
ValueCountFrequency (%)
053-764-3232 1
 
2.0%
053-351-5858 1
 
2.0%
053-763-1011 1
 
2.0%
053-269-3307 1
 
2.0%
053-742-5100 1
 
2.0%
053-421-8888 1
 
2.0%
053-761-4156 1
 
2.0%
053-761-6162 1
 
2.0%
053-755-5511 1
 
2.0%
053-764-7982 1
 
2.0%
Other values (39) 39
79.6%
2024-04-21T12:00:12.305506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 98
16.7%
0 86
14.6%
5 82
13.9%
3 75
12.8%
7 56
9.5%
6 43
7.3%
8 40
6.8%
4 36
 
6.1%
1 32
 
5.4%
2 24
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
17.6%
5 82
16.7%
3 75
15.3%
7 56
11.4%
6 43
8.8%
8 40
8.2%
4 36
7.3%
1 32
 
6.5%
2 24
 
4.9%
9 16
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 98
16.7%
0 86
14.6%
5 82
13.9%
3 75
12.8%
7 56
9.5%
6 43
7.3%
8 40
6.8%
4 36
 
6.1%
1 32
 
5.4%
2 24
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 98
16.7%
0 86
14.6%
5 82
13.9%
3 75
12.8%
7 56
9.5%
6 43
7.3%
8 40
6.8%
4 36
 
6.1%
1 32
 
5.4%
2 24
 
4.1%

소재지
Text

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size872.0 B
2024-04-21T12:00:13.586553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length29.387097
Min length22

Characters and Unicode

Total characters2733
Distinct characters97
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

Unique91 ?
Unique (%)97.8%

Sample

1st row대구광역시 수성구 상화로 38. 3층 (상동)
2nd row대구광역시 수성구 공경로 34 (만촌동)
3rd row대구광역시 수성구 동대구로77길 9. 은성빌딩 2층 (범어동)
4th row대구광역시 수성구 무열로 13 (만촌동)
5th row대구광역시 수성구 화랑로 158. 202호 (만촌동. 더테라스)
ValueCountFrequency (%)
대구광역시 93
 
16.8%
수성구 92
 
16.6%
2층 25
 
4.5%
범어동 19
 
3.4%
1층 16
 
2.9%
달구벌대로 12
 
2.2%
황금동 12
 
2.2%
만촌동 11
 
2.0%
중동 10
 
1.8%
수성로 8
 
1.4%
Other values (170) 256
46.2%
2024-04-21T12:00:15.105378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
461
 
16.9%
구 211
 
7.7%
수 132
 
4.8%
성 127
 
4.6%
대 118
 
4.3%
동 115
 
4.2%
시 97
 
3.5%
로 94
 
3.4%
) 94
 
3.4%
( 94
 
3.4%
Other values (87) 1190
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1550
56.7%
Space Separator 461
 
16.9%
Decimal Number 442
 
16.2%
Close Punctuation 94
 
3.4%
Open Punctuation 94
 
3.4%
Other Punctuation 75
 
2.7%
Dash Punctuation 17
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 211
13.6%
수 132
 
8.5%
성 127
 
8.2%
대 118
 
7.6%
동 115
 
7.4%
시 97
 
6.3%
로 94
 
6.1%
역 93
 
6.0%
광 93
 
6.0%
층 60
 
3.9%
Other values (72) 410
26.5%
Decimal Number
ValueCountFrequency (%)
1 92
20.8%
2 82
18.6%
3 57
12.9%
4 42
9.5%
0 35
 
7.9%
8 32
 
7.2%
9 28
 
6.3%
5 27
 
6.1%
6 24
 
5.4%
7 23
 
5.2%
Space Separator
ValueCountFrequency (%)
461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Other Punctuation
ValueCountFrequency (%)
. 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1550
56.7%
Common 1183
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 211
13.6%
수 132
 
8.5%
성 127
 
8.2%
대 118
 
7.6%
동 115
 
7.4%
시 97
 
6.3%
로 94
 
6.1%
역 93
 
6.0%
광 93
 
6.0%
층 60
 
3.9%
Other values (72) 410
26.5%
Common
ValueCountFrequency (%)
461
39.0%
) 94
 
7.9%
( 94
 
7.9%
1 92
 
7.8%
2 82
 
6.9%
. 75
 
6.3%
3 57
 
4.8%
4 42
 
3.6%
0 35
 
3.0%
8 32
 
2.7%
Other values (5) 119
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1550
56.7%
ASCII 1183
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
461
39.0%
) 94
 
7.9%
( 94
 
7.9%
1 92
 
7.8%
2 82
 
6.9%
. 75
 
6.3%
3 57
 
4.8%
4 42
 
3.6%
0 35
 
3.0%
8 32
 
2.7%
Other values (5) 119
 
10.1%
Hangul
ValueCountFrequency (%)
구 211
13.6%
수 132
 
8.5%
성 127
 
8.2%
대 118
 
7.6%
동 115
 
7.4%
시 97
 
6.3%
로 94
 
6.1%
역 93
 
6.0%
광 93
 
6.0%
층 60
 
3.9%
Other values (72) 410
26.5%

Interactions

2024-04-21T12:00:07.513647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T12:00:15.262590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업소명연락처소재지
연번1.0001.0001.0000.948
사업소명1.0001.0001.0001.000
연락처1.0001.0001.0001.000
소재지0.9481.0001.0001.000

Missing values

2024-04-21T12:00:07.822426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T12:00:08.051613image/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
01다원개발<NA>대구광역시 수성구 상화로 38. 3층 (상동)
12만촌직업소개소<NA>대구광역시 수성구 공경로 34 (만촌동)
23주식회사 행복인디제이053-525-8597대구광역시 수성구 동대구로77길 9. 은성빌딩 2층 (범어동)
34달구벌인력개발 직업소개소<NA>대구광역시 수성구 무열로 13 (만촌동)
45주식회사 피에스에이치알<NA>대구광역시 수성구 화랑로 158. 202호 (만촌동. 더테라스)
56백구 유료직업소개소<NA>대구광역시 수성구 수성로 283-1. 2층 (수성동1가)
67사단법인 대구광역시생활폐기물협회053-383-7999대구광역시 수성구 청수로 119. 4층 (황금동)
78웅 유료직업소개소<NA>대구광역시 수성구 들안로32길 73-12 (황금동)
89미소간병인가사도우미협회<NA>대구광역시 수성구 수성로 23. 302호 (상동)
910일과 사람들<NA>대구광역시 수성구 신천동로 274. 2층 (수성동1가)
연번사업소명연락처소재지
8384삼성어머니회 유료직업소개소053-761-7004대구광역시 수성구 수성로29길 8. 1층 (중동)
8485베테랑 유료직업소개소053-762-3036대구광역시 수성구 수성로 215. 4층 (중동)
8586화이트 유료직업소개소053-755-1223대구광역시 수성구 들안로 411. 2층 (범어동)
8687나래유료직업소개소053-764-8800대구광역시 수성구 청솔로 73. 2층 (수성동3가)
8788안정준유료직업소개소<NA>대구광역시 수성구 희망로 228. 2층 (황금동)
8889고려인력유료직업소개소053-741-1443대구광역시 수성구 국채보상로 1037. 1층 (만촌동)
8990하나어머니회 유료직업소개소053-753-0778대구광역시 수성구 수성로70길 5. 2층 (수성동2가)
9091효성어머니회유료직업소개소053-753-7182대구광역시 수성구 들안로 348. 3층 (수성동4가)
9192계명어머니회 유료직업소개소053-742-1866대구광역시 수성구 동원로 29. 2층 (범어동)
9293시지.경산인력유료직업소개소053-794-1470대구광역시 수성구 달구벌대로 3076. 2층 (시지동)