Overview

Dataset statistics

Number of variables4
Number of observations88
Missing cells17
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory34.5 B

Variable types

Numeric1
Text3

Dataset

Description대구광역시 수성구 직업소개소 현황(2018.8.1. 기준)
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15054484&dataSetDetailId=150544841eeadd7134b16_201605311120&provdMethod=FILE

Alerts

연락처 has 17 (19.3%) missing valuesMissing
연번 has unique valuesUnique
사업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:33:19.859616
Analysis finished2023-12-10 19:33:20.700635
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-11T04:33:20.801626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2023-12-11T04:33:20.950850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
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 (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

사업소명
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T04:33:21.252356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length11.193182
Min length6

Characters and Unicode

Total characters985
Distinct characters172
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

Unique88 ?
Unique (%)100.0%

Sample

1st row수성인력개발 유료직업소개소
2nd row동윤인력개발
3rd row칼라유료직업소개소
4th row성광유료직업소개소
5th row(사)함께하는마음 범물실버복지센터
ValueCountFrequency (%)
유료직업소개소 37
28.0%
에이스 2
 
1.5%
에듀림교육컨설팅 1
 
0.8%
메이저유료직업소개소 1
 
0.8%
사랑간병사회 1
 
0.8%
라인유료직업소개소 1
 
0.8%
수성지역자활센터무료직업소개소 1
 
0.8%
스타일유료직업소개소 1
 
0.8%
대구유료직업소개소 1
 
0.8%
현대개발유료직업소개소 1
 
0.8%
Other values (85) 85
64.4%
2023-12-11T04:33:21.742425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 153
15.5%
개 88
 
8.9%
업 80
 
8.1%
직 78
 
7.9%
료 76
 
7.7%
유 74
 
7.5%
44
 
4.5%
인 20
 
2.0%
력 17
 
1.7%
성 12
 
1.2%
Other values (162) 343
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 917
93.1%
Space Separator 44
 
4.5%
Open Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%
Decimal Number 4
 
0.4%
Uppercase Letter 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 153
16.7%
개 88
 
9.6%
업 80
 
8.7%
직 78
 
8.5%
료 76
 
8.3%
유 74
 
8.1%
인 20
 
2.2%
력 17
 
1.9%
성 12
 
1.3%
사 9
 
1.0%
Other values (152) 310
33.8%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
7 1
25.0%
9 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
M 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 917
93.1%
Common 65
 
6.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 153
16.7%
개 88
 
9.6%
업 80
 
8.7%
직 78
 
8.5%
료 76
 
8.3%
유 74
 
8.1%
인 20
 
2.2%
력 17
 
1.9%
성 12
 
1.3%
사 9
 
1.0%
Other values (152) 310
33.8%
Common
ValueCountFrequency (%)
44
67.7%
( 8
 
12.3%
) 8
 
12.3%
1 2
 
3.1%
7 1
 
1.5%
9 1
 
1.5%
. 1
 
1.5%
Latin
ValueCountFrequency (%)
K 1
33.3%
M 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 917
93.1%
ASCII 68
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 153
16.7%
개 88
 
9.6%
업 80
 
8.7%
직 78
 
8.5%
료 76
 
8.3%
유 74
 
8.1%
인 20
 
2.2%
력 17
 
1.9%
성 12
 
1.3%
사 9
 
1.0%
Other values (152) 310
33.8%
ASCII
ValueCountFrequency (%)
44
64.7%
( 8
 
11.8%
) 8
 
11.8%
1 2
 
2.9%
K 1
 
1.5%
M 1
 
1.5%
F 1
 
1.5%
7 1
 
1.5%
9 1
 
1.5%
. 1
 
1.5%

연락처
Text

MISSING 

Distinct69
Distinct (%)97.2%
Missing17
Missing (%)19.3%
Memory size836.0 B
2023-12-11T04:33:22.107120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014085
Min length12

Characters and Unicode

Total characters853
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

Unique67 ?
Unique (%)94.4%

Sample

1st row053-761-8900
2nd row053-764-0768
3rd row053-766-7706
4th row053-767-1288
5th row053-782-0103
ValueCountFrequency (%)
053-742-5100 2
 
2.8%
053-764-0768 2
 
2.8%
053-742-1866 1
 
1.4%
053-763-1011 1
 
1.4%
053-351-5858 1
 
1.4%
053-768-9500 1
 
1.4%
053-767-0408 1
 
1.4%
053-764-7982 1
 
1.4%
053-755-5511 1
 
1.4%
053-764-7223 1
 
1.4%
Other values (59) 59
83.1%
2023-12-11T04:33:22.596424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 142
16.6%
0 131
15.4%
5 115
13.5%
3 105
12.3%
7 92
10.8%
6 67
7.9%
4 53
 
6.2%
8 50
 
5.9%
1 44
 
5.2%
2 35
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 711
83.4%
Dash Punctuation 142
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
18.4%
5 115
16.2%
3 105
14.8%
7 92
12.9%
6 67
9.4%
4 53
7.5%
8 50
 
7.0%
1 44
 
6.2%
2 35
 
4.9%
9 19
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 853
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 142
16.6%
0 131
15.4%
5 115
13.5%
3 105
12.3%
7 92
10.8%
6 67
7.9%
4 53
 
6.2%
8 50
 
5.9%
1 44
 
5.2%
2 35
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 142
16.6%
0 131
15.4%
5 115
13.5%
3 105
12.3%
7 92
10.8%
6 67
7.9%
4 53
 
6.2%
8 50
 
5.9%
1 44
 
5.2%
2 35
 
4.1%

소재지
Text

Distinct86
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T04:33:23.007012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length29.113636
Min length21

Characters and Unicode

Total characters2562
Distinct characters85
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

Unique84 ?
Unique (%)95.5%

Sample

1st row대구광역시 수성구 청호로96길 42. 지하1층 (만촌동)
2nd row대구광역시 수성구 들안로 379-1. 1층 (수성동4가)
3rd row대구광역시 수성구 수성로53길 8. 2층 (수성동1가)
4th row대구광역시 수성구 들안로 182. 2층 (황금동)
5th row대구광역시 수성구 범안로 99 (범물동)
ValueCountFrequency (%)
대구광역시 88
 
16.9%
수성구 88
 
16.9%
2층 30
 
5.8%
범어동 19
 
3.6%
1층 16
 
3.1%
중동 12
 
2.3%
황금동 11
 
2.1%
수성로 10
 
1.9%
달구벌대로 8
 
1.5%
수성동2가 7
 
1.3%
Other values (156) 232
44.5%
2023-12-11T04:33:23.958892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
 
16.9%
구 196
 
7.7%
수 136
 
5.3%
성 130
 
5.1%
대 108
 
4.2%
동 105
 
4.1%
2 94
 
3.7%
시 92
 
3.6%
) 88
 
3.4%
( 88
 
3.4%
Other values (75) 1092
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1438
56.1%
Space Separator 433
 
16.9%
Decimal Number 421
 
16.4%
Close Punctuation 88
 
3.4%
Open Punctuation 88
 
3.4%
Other Punctuation 76
 
3.0%
Dash Punctuation 18
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 196
13.6%
수 136
 
9.5%
성 130
 
9.0%
대 108
 
7.5%
동 105
 
7.3%
시 92
 
6.4%
로 88
 
6.1%
광 88
 
6.1%
역 88
 
6.1%
층 66
 
4.6%
Other values (60) 341
23.7%
Decimal Number
ValueCountFrequency (%)
2 94
22.3%
1 80
19.0%
3 56
13.3%
4 40
9.5%
5 32
 
7.6%
0 29
 
6.9%
8 27
 
6.4%
9 25
 
5.9%
6 23
 
5.5%
7 15
 
3.6%
Space Separator
ValueCountFrequency (%)
433
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Other Punctuation
ValueCountFrequency (%)
. 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1438
56.1%
Common 1124
43.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 196
13.6%
수 136
 
9.5%
성 130
 
9.0%
대 108
 
7.5%
동 105
 
7.3%
시 92
 
6.4%
로 88
 
6.1%
광 88
 
6.1%
역 88
 
6.1%
층 66
 
4.6%
Other values (60) 341
23.7%
Common
ValueCountFrequency (%)
433
38.5%
2 94
 
8.4%
) 88
 
7.8%
( 88
 
7.8%
1 80
 
7.1%
. 76
 
6.8%
3 56
 
5.0%
4 40
 
3.6%
5 32
 
2.8%
0 29
 
2.6%
Other values (5) 108
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1438
56.1%
ASCII 1124
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
38.5%
2 94
 
8.4%
) 88
 
7.8%
( 88
 
7.8%
1 80
 
7.1%
. 76
 
6.8%
3 56
 
5.0%
4 40
 
3.6%
5 32
 
2.8%
0 29
 
2.6%
Other values (5) 108
 
9.6%
Hangul
ValueCountFrequency (%)
구 196
13.6%
수 136
 
9.5%
성 130
 
9.0%
대 108
 
7.5%
동 105
 
7.3%
시 92
 
6.4%
로 88
 
6.1%
광 88
 
6.1%
역 88
 
6.1%
층 66
 
4.6%
Other values (60) 341
23.7%

Interactions

2023-12-11T04:33:20.400151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:33:24.092212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업소명연락처소재지
연번1.0001.0000.8330.865
사업소명1.0001.0001.0001.000
연락처0.8331.0001.0000.994
소재지0.8651.0000.9941.000

Missing values

2023-12-11T04:33:20.535967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:33:20.659660image/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
01수성인력개발 유료직업소개소<NA>대구광역시 수성구 청호로96길 42. 지하1층 (만촌동)
12동윤인력개발053-761-8900대구광역시 수성구 들안로 379-1. 1층 (수성동4가)
23칼라유료직업소개소053-764-0768대구광역시 수성구 수성로53길 8. 2층 (수성동1가)
34성광유료직업소개소053-766-7706대구광역시 수성구 들안로 182. 2층 (황금동)
45(사)함께하는마음 범물실버복지센터053-767-1288대구광역시 수성구 범안로 99 (범물동)
56은지유료직업소개소053-782-0103대구광역시 수성구 지범로 43-8. 2층 (지산동)
67대림인력개발<NA>대구광역시 수성구 수성로 317. 2층 (수성동1가)
78(주)성우직업소개지원센터053-761-0544대구광역시 수성구 동대구로 167. 3층 (황금동)
89강남유료직업소개소<NA>대구광역시 수성구 수성로52길 13. 2층 (중동)
910연화인력개발센터 유료직업소개소053-767-8866대구광역시 수성구 청수로40길 73-4. 지하1층층 (지산동)
연번사업소명연락처소재지
7879나래유료직업소개소053-764-8800대구광역시 수성구 청솔로 73. 2층 (수성동3가)
7980남부인력유료직업소개소053-745-5004대구광역시 수성구 달구벌대로488길 6. 2층 (범어동)
8081안정준유료직업소개소<NA>대구광역시 수성구 희망로 228. 2층 (황금동)
8182고려인력유료직업소개소053-741-1443대구광역시 수성구 국채보상로 1037. 1층 (만촌동)
8283수성인력유료직업소개소053-754-3616대구광역시 수성구 청호로 461. 1층 (범어동)
8384하나어머니회 유료직업소개소053-753-0778대구광역시 수성구 수성로70길 5. 2층 (수성동2가)
8485효성어머니회유료직업소개소053-753-7182대구광역시 수성구 들안로 348. 3층 (수성동4가)
8586계명어머니회 유료직업소개소053-742-1866대구광역시 수성구 동원로 29. 2층 (범어동)
8687가나휴먼컨설팅유료직업소개소053-763-9600대구광역시 수성구 수성로35길 3 (중동)
8788시지.경산인력유료직업소개소053-794-1470대구광역시 수성구 달구벌대로 3076. 2층 (시지동)