Overview

Dataset statistics

Number of variables5
Number of observations127
Missing cells40
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 남동구 내 직업소개소에 대한 데이터로 연번, 직업소개소명, 상세주소, 전화번호, 데이터기준일 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038948&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
전화 has 40 (31.5%) missing valuesMissing
연번 has unique valuesUnique
직업소개소명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:54:10.213850
Analysis finished2024-01-28 11:54:10.946804
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-28T20:54:11.012450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q132.5
median64
Q395.5
95-th percentile120.7
Maximum127
Range126
Interquartile range (IQR)63

Descriptive statistics

Standard deviation36.805797
Coefficient of variation (CV)0.57509057
Kurtosis-1.2
Mean64
Median Absolute Deviation (MAD)32
Skewness0
Sum8128
Variance1354.6667
MonotonicityStrictly increasing
2024-01-28T20:54:11.131945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
Other values (117) 117
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%

직업소개소명
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:54:11.313447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length8.9133858
Min length2

Characters and Unicode

Total characters1132
Distinct characters220
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)100.0%

Sample

1st row만수인력개발
2nd row만수인력개발(지점)
3rd row새벽을여는사람들
4th row지구촌인력
5th row해동인력.파출
ValueCountFrequency (%)
주식회사 15
 
9.3%
채움에이치알디 7
 
4.3%
무료직업소개소 2
 
1.2%
인천경기간병센터 2
 
1.2%
사)인천광역시 2
 
1.2%
다인직업소개소 1
 
0.6%
우주간병인 1
 
0.6%
한빛hnc 1
 
0.6%
더조은인력 1
 
0.6%
블루베리hr 1
 
0.6%
Other values (129) 129
79.6%
2024-01-28T20:54:11.621923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 84
 
7.4%
사 48
 
4.2%
회 38
 
3.4%
35
 
3.1%
력 32
 
2.8%
소 31
 
2.7%
지 29
 
2.6%
) 27
 
2.4%
( 27
 
2.4%
천 26
 
2.3%
Other values (210) 755
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1016
89.8%
Space Separator 35
 
3.1%
Close Punctuation 27
 
2.4%
Open Punctuation 27
 
2.4%
Uppercase Letter 11
 
1.0%
Other Symbol 6
 
0.5%
Lowercase Letter 6
 
0.5%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 84
 
8.3%
사 48
 
4.7%
회 38
 
3.7%
력 32
 
3.1%
소 31
 
3.1%
지 29
 
2.9%
천 26
 
2.6%
개 25
 
2.5%
주 21
 
2.1%
업 21
 
2.1%
Other values (190) 661
65.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
18.2%
C 2
18.2%
H 2
18.2%
N 1
9.1%
R 1
9.1%
M 1
9.1%
Y 1
9.1%
I 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
n 2
33.3%
o 1
16.7%
e 1
16.7%
h 1
16.7%
c 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
: 1
25.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1022
90.3%
Common 93
 
8.2%
Latin 17
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 84
 
8.2%
사 48
 
4.7%
회 38
 
3.7%
력 32
 
3.1%
소 31
 
3.0%
지 29
 
2.8%
천 26
 
2.5%
개 25
 
2.4%
주 21
 
2.1%
업 21
 
2.1%
Other values (191) 667
65.3%
Latin
ValueCountFrequency (%)
A 2
11.8%
C 2
11.8%
H 2
11.8%
n 2
11.8%
N 1
 
5.9%
R 1
 
5.9%
M 1
 
5.9%
Y 1
 
5.9%
o 1
 
5.9%
e 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
35
37.6%
) 27
29.0%
( 27
29.0%
. 2
 
2.2%
& 1
 
1.1%
: 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1016
89.8%
ASCII 110
 
9.7%
None 6
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 84
 
8.3%
사 48
 
4.7%
회 38
 
3.7%
력 32
 
3.1%
소 31
 
3.1%
지 29
 
2.9%
천 26
 
2.6%
개 25
 
2.5%
주 21
 
2.1%
업 21
 
2.1%
Other values (190) 661
65.1%
ASCII
ValueCountFrequency (%)
35
31.8%
) 27
24.5%
( 27
24.5%
A 2
 
1.8%
C 2
 
1.8%
H 2
 
1.8%
n 2
 
1.8%
. 2
 
1.8%
N 1
 
0.9%
R 1
 
0.9%
Other values (9) 9
 
8.2%
None
ValueCountFrequency (%)
㈜ 6
100.0%

상세주소
Text

Distinct124
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:54:11.900711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length30.535433
Min length17

Characters and Unicode

Total characters3878
Distinct characters176
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

Unique121 ?
Unique (%)95.3%

Sample

1st row인천광역시 남동구 만경로8번길 46, 1층 (만수동)
2nd row인천광역시 남구 수봉로 54-5, 지하호 (숭의동)
3rd row인천광역시 남동구 백범로 406, 304호 (간석동)
4th row인천광역시 남동구 석정로 507, 3층 (간석동)
5th row인천광역시 남동구 백범로 213 (만수동)
ValueCountFrequency (%)
인천광역시 116
 
16.8%
남동구 115
 
16.6%
백범로 17
 
2.5%
2층 10
 
1.4%
남동대로 9
 
1.3%
구월로 8
 
1.2%
3층 7
 
1.0%
208 7
 
1.0%
만수동 7
 
1.0%
용천로 6
 
0.9%
Other values (307) 390
56.4%
2024-01-28T20:54:12.314999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
568
 
14.6%
동 249
 
6.4%
구 172
 
4.4%
남 147
 
3.8%
인 142
 
3.7%
천 137
 
3.5%
시 133
 
3.4%
로 127
 
3.3%
, 126
 
3.2%
1 122
 
3.1%
Other values (166) 1955
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2244
57.9%
Decimal Number 720
 
18.6%
Space Separator 568
 
14.6%
Other Punctuation 127
 
3.3%
Close Punctuation 99
 
2.6%
Open Punctuation 99
 
2.6%
Dash Punctuation 17
 
0.4%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 249
 
11.1%
구 172
 
7.7%
남 147
 
6.6%
인 142
 
6.3%
천 137
 
6.1%
시 133
 
5.9%
로 127
 
5.7%
역 121
 
5.4%
광 121
 
5.4%
호 80
 
3.6%
Other values (147) 815
36.3%
Decimal Number
ValueCountFrequency (%)
1 122
16.9%
2 118
16.4%
3 110
15.3%
0 103
14.3%
4 65
9.0%
5 47
 
6.5%
7 46
 
6.4%
8 45
 
6.2%
6 44
 
6.1%
9 20
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
D 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 126
99.2%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2244
57.9%
Common 1630
42.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 249
 
11.1%
구 172
 
7.7%
남 147
 
6.6%
인 142
 
6.3%
천 137
 
6.1%
시 133
 
5.9%
로 127
 
5.7%
역 121
 
5.4%
광 121
 
5.4%
호 80
 
3.6%
Other values (147) 815
36.3%
Common
ValueCountFrequency (%)
568
34.8%
, 126
 
7.7%
1 122
 
7.5%
2 118
 
7.2%
3 110
 
6.7%
0 103
 
6.3%
) 99
 
6.1%
( 99
 
6.1%
4 65
 
4.0%
5 47
 
2.9%
Other values (6) 173
 
10.6%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2244
57.9%
ASCII 1634
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
568
34.8%
, 126
 
7.7%
1 122
 
7.5%
2 118
 
7.2%
3 110
 
6.7%
0 103
 
6.3%
) 99
 
6.1%
( 99
 
6.1%
4 65
 
4.0%
5 47
 
2.9%
Other values (9) 177
 
10.8%
Hangul
ValueCountFrequency (%)
동 249
 
11.1%
구 172
 
7.7%
남 147
 
6.6%
인 142
 
6.3%
천 137
 
6.1%
시 133
 
5.9%
로 127
 
5.7%
역 121
 
5.4%
광 121
 
5.4%
호 80
 
3.6%
Other values (147) 815
36.3%

전화
Text

MISSING 

Distinct85
Distinct (%)97.7%
Missing40
Missing (%)31.5%
Memory size1.1 KiB
2024-01-28T20:54:12.524658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.011494
Min length12

Characters and Unicode

Total characters1045
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

Unique83 ?
Unique (%)95.4%

Sample

1st row032-461-0950
2nd row032-461-0950
3rd row032-463-1155
4th row032-429-9555
5th row032-464-2467
ValueCountFrequency (%)
032-467-8263 2
 
2.3%
032-461-0950 2
 
2.3%
032-267-6080 1
 
1.1%
032-815-6271 1
 
1.1%
032-446-8778 1
 
1.1%
032-715-4104 1
 
1.1%
032-646-5090 1
 
1.1%
032-427-0901 1
 
1.1%
032-524-5050 1
 
1.1%
032-423-1210 1
 
1.1%
Other values (75) 75
86.2%
2024-01-28T20:54:12.849813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 174
16.7%
0 159
15.2%
2 156
14.9%
3 137
13.1%
4 102
9.8%
1 73
7.0%
7 64
 
6.1%
6 51
 
4.9%
8 51
 
4.9%
5 46
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 871
83.3%
Dash Punctuation 174
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 159
18.3%
2 156
17.9%
3 137
15.7%
4 102
11.7%
1 73
8.4%
7 64
7.3%
6 51
 
5.9%
8 51
 
5.9%
5 46
 
5.3%
9 32
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 174
16.7%
0 159
15.2%
2 156
14.9%
3 137
13.1%
4 102
9.8%
1 73
7.0%
7 64
 
6.1%
6 51
 
4.9%
8 51
 
4.9%
5 46
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 174
16.7%
0 159
15.2%
2 156
14.9%
3 137
13.1%
4 102
9.8%
1 73
7.0%
7 64
 
6.1%
6 51
 
4.9%
8 51
 
4.9%
5 46
 
4.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-08-07
127 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-07
2nd row2023-08-07
3rd row2023-08-07
4th row2023-08-07
5th row2023-08-07

Common Values

ValueCountFrequency (%)
2023-08-07 127
100.0%

Length

2024-01-28T20:54:12.972889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:54:13.056328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-07 127
100.0%

Interactions

2024-01-28T20:54:10.442400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:54:13.104214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화
연번1.0001.000
전화1.0001.000

Missing values

2024-01-28T20:54:10.843633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:54:10.916837image/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

연번직업소개소명상세주소전화데이터기준일자
01만수인력개발인천광역시 남동구 만경로8번길 46, 1층 (만수동)032-461-09502023-08-07
12만수인력개발(지점)인천광역시 남구 수봉로 54-5, 지하호 (숭의동)032-461-09502023-08-07
23새벽을여는사람들인천광역시 남동구 백범로 406, 304호 (간석동)032-463-11552023-08-07
34지구촌인력인천광역시 남동구 석정로 507, 3층 (간석동)032-429-95552023-08-07
45해동인력.파출인천광역시 남동구 백범로 213 (만수동)032-464-24672023-08-07
56제일직업소개소(이)인천광역시 남동구 백범로 269-2 (간석동)032-431-68862023-08-07
67제일직업소개소(한)인천광역시 남동구 용천로168번길 5, 3층 (간석동)032-437-77972023-08-07
78새벽직업소개소인천광역시 남동구 호구포로810번길 76, 3층 (구월동)032-464-87582023-08-07
89인천직업소개소인천광역시 남동구 인주대로 683, 1층 (구월동)032-467-77602023-08-07
910세종취업정보센터인천광역시 남동구 남동대로 745(구월동)032-468-18882023-08-07
연번직업소개소명상세주소전화데이터기준일자
117118한국장애경제인협회 인천지회인천광역시 남동구 용천로 208, 712호(간석동,인천광역시사회복지회관)032-424-47202023-08-07
118119(사)남동국가산업단지경영자협의회인천광역시 남동구 남동대로215번길 12, 3층 304호 (고잔동)032-812-43472023-08-07
119120(사)인천광역시장애인기업협회인천광역시 남동구 용천로 208, 202호(간석동,인천광역시사회복지회관)<NA>2023-08-07
120121인천노동협회인천광역시 남동구 구월남로75, 한국노총근로자복지회관 4층 (구월동)<NA>2023-08-07
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