Overview

Dataset statistics

Number of variables5
Number of observations392
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description직업소개소를 운영하려고 할 경우 직업안정법에 따라 직업소개사업을 각 자치구에 신고(등록)해야 함. 해당 데이터는 직업소개소 등록 관련 자료를 바탕으로 직업소개소 현황을 관리하고 있음
Author광주광역시
URLhttps://www.data.go.kr/data/15121495/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:09:17.619142
Analysis finished2024-03-15 02:09:19.353270
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct392
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.5
Minimum1
Maximum392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-03-15T11:09:19.526431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.55
Q198.75
median196.5
Q3294.25
95-th percentile372.45
Maximum392
Range391
Interquartile range (IQR)195.5

Descriptive statistics

Standard deviation113.3049
Coefficient of variation (CV)0.57661526
Kurtosis-1.2
Mean196.5
Median Absolute Deviation (MAD)98
Skewness0
Sum77028
Variance12838
MonotonicityStrictly increasing
2024-03-15T11:09:19.823223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
271 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
Other values (382) 382
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%

구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
유료
348 
무료
44 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 348
88.8%
무료 44
 
11.2%

Length

2024-03-15T11:09:20.241138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:09:20.558112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 348
88.8%
무료 44
 
11.2%

사업소명
Text

Distinct386
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-15T11:09:21.456229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length8.3418367
Min length2

Characters and Unicode

Total characters3270
Distinct characters332
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)96.9%

Sample

1st row정진관직업소개소
2nd row계림동근로자대기소
3rd row학운근로자대기소
4th row한국간병인협회
5th row광주여성간병인협회
ValueCountFrequency (%)
주식회사 9
 
1.9%
직업소개소 7
 
1.5%
사단법인 7
 
1.5%
광주 4
 
0.9%
호남인력대기소 3
 
0.6%
인력 3
 
0.6%
우리직업소개소 2
 
0.4%
서강직업소개소 2
 
0.4%
산학협력단 2
 
0.4%
2
 
0.4%
Other values (421) 429
91.3%
2024-03-15T11:09:23.064122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 378
 
11.6%
개 154
 
4.7%
인 149
 
4.6%
업 135
 
4.1%
직 127
 
3.9%
력 121
 
3.7%
대 103
 
3.1%
기 88
 
2.7%
78
 
2.4%
주 70
 
2.1%
Other values (322) 1867
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3043
93.1%
Space Separator 78
 
2.4%
Lowercase Letter 44
 
1.3%
Uppercase Letter 39
 
1.2%
Close Punctuation 23
 
0.7%
Open Punctuation 22
 
0.7%
Decimal Number 14
 
0.4%
Other Punctuation 5
 
0.2%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 378
 
12.4%
개 154
 
5.1%
인 149
 
4.9%
업 135
 
4.4%
직 127
 
4.2%
력 121
 
4.0%
대 103
 
3.4%
기 88
 
2.9%
주 70
 
2.3%
광 70
 
2.3%
Other values (277) 1648
54.2%
Uppercase Letter
ValueCountFrequency (%)
C 5
12.8%
E 5
12.8%
S 5
12.8%
A 4
10.3%
G 3
7.7%
J 2
 
5.1%
N 2
 
5.1%
M 2
 
5.1%
H 2
 
5.1%
I 2
 
5.1%
Other values (7) 7
17.9%
Lowercase Letter
ValueCountFrequency (%)
o 10
22.7%
n 7
15.9%
a 5
11.4%
t 4
 
9.1%
l 3
 
6.8%
c 3
 
6.8%
i 3
 
6.8%
b 2
 
4.5%
d 2
 
4.5%
k 1
 
2.3%
Other values (4) 4
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 3
21.4%
3 3
21.4%
5 2
14.3%
6 2
14.3%
2 2
14.3%
9 1
 
7.1%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3041
93.0%
Common 144
 
4.4%
Latin 83
 
2.5%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 378
 
12.4%
개 154
 
5.1%
인 149
 
4.9%
업 135
 
4.4%
직 127
 
4.2%
력 121
 
4.0%
대 103
 
3.4%
기 88
 
2.9%
주 70
 
2.3%
광 70
 
2.3%
Other values (276) 1646
54.1%
Latin
ValueCountFrequency (%)
o 10
 
12.0%
n 7
 
8.4%
C 5
 
6.0%
a 5
 
6.0%
E 5
 
6.0%
S 5
 
6.0%
t 4
 
4.8%
A 4
 
4.8%
l 3
 
3.6%
c 3
 
3.6%
Other values (21) 32
38.6%
Common
ValueCountFrequency (%)
78
54.2%
) 23
 
16.0%
( 22
 
15.3%
1 3
 
2.1%
3 3
 
2.1%
. 3
 
2.1%
5 2
 
1.4%
6 2
 
1.4%
2 2
 
1.4%
& 2
 
1.4%
Other values (4) 4
 
2.8%
Han
ValueCountFrequency (%)
信 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3041
93.0%
ASCII 227
 
6.9%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 378
 
12.4%
개 154
 
5.1%
인 149
 
4.9%
업 135
 
4.4%
직 127
 
4.2%
력 121
 
4.0%
대 103
 
3.4%
기 88
 
2.9%
주 70
 
2.3%
광 70
 
2.3%
Other values (276) 1646
54.1%
ASCII
ValueCountFrequency (%)
78
34.4%
) 23
 
10.1%
( 22
 
9.7%
o 10
 
4.4%
n 7
 
3.1%
C 5
 
2.2%
a 5
 
2.2%
E 5
 
2.2%
S 5
 
2.2%
t 4
 
1.8%
Other values (35) 63
27.8%
CJK
ValueCountFrequency (%)
信 2
100.0%

대표자
Text

Distinct387
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-15T11:09:24.747202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9744898
Min length2

Characters and Unicode

Total characters1166
Distinct characters171
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique382 ?
Unique (%)97.4%

Sample

1st row정진관
2nd row문기정
3rd row안기선
4th row조우순
5th row이찬옥
ValueCountFrequency (%)
박석원 2
 
0.5%
최성수 2
 
0.5%
김명선 2
 
0.5%
최관수 2
 
0.5%
김정수 2
 
0.5%
김경옥 1
 
0.3%
정상원 1
 
0.3%
손성우 1
 
0.3%
이경수 1
 
0.3%
노매자 1
 
0.3%
Other values (377) 377
96.2%
2024-03-15T11:09:26.334127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 76
 
6.5%
이 46
 
3.9%
영 43
 
3.7%
정 41
 
3.5%
박 35
 
3.0%
현 29
 
2.5%
성 27
 
2.3%
수 23
 
2.0%
최 21
 
1.8%
조 21
 
1.8%
Other values (161) 804
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1166
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 76
 
6.5%
이 46
 
3.9%
영 43
 
3.7%
정 41
 
3.5%
박 35
 
3.0%
현 29
 
2.5%
성 27
 
2.3%
수 23
 
2.0%
최 21
 
1.8%
조 21
 
1.8%
Other values (161) 804
69.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1166
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 76
 
6.5%
이 46
 
3.9%
영 43
 
3.7%
정 41
 
3.5%
박 35
 
3.0%
현 29
 
2.5%
성 27
 
2.3%
수 23
 
2.0%
최 21
 
1.8%
조 21
 
1.8%
Other values (161) 804
69.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1166
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 76
 
6.5%
이 46
 
3.9%
영 43
 
3.7%
정 41
 
3.5%
박 35
 
3.0%
현 29
 
2.5%
성 27
 
2.3%
수 23
 
2.0%
최 21
 
1.8%
조 21
 
1.8%
Other values (161) 804
69.0%

사업소 주소
Text

Distinct389
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-15T11:09:27.396417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length25.971939
Min length15

Characters and Unicode

Total characters10181
Distinct characters227
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique386 ?
Unique (%)98.5%

Sample

1st row광주광역시 동구 제봉로 98 (장동)
2nd row광주광역시 동구 중앙로 328 (계림동)
3rd row광주광역시 동구 남문로 742-1 (학동)
4th row광주광역시 동구 양림로119번길 7. 8층 5호 (학동)
5th row광주광역시 동구 제봉로 53. 2층 (남동)
ValueCountFrequency (%)
광주광역시 392
 
18.7%
북구 138
 
6.6%
광산구 108
 
5.2%
서구 64
 
3.1%
동구 46
 
2.2%
남구 36
 
1.7%
2층 29
 
1.4%
1층 23
 
1.1%
상무대로 22
 
1.1%
월곡동 19
 
0.9%
Other values (656) 1218
58.1%
2024-03-15T11:09:28.917576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1705
 
16.7%
광 909
 
8.9%
동 459
 
4.5%
주 409
 
4.0%
시 395
 
3.9%
구 395
 
3.9%
역 392
 
3.9%
로 383
 
3.8%
( 378
 
3.7%
) 378
 
3.7%
Other values (217) 4378
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5960
58.5%
Space Separator 1705
 
16.7%
Decimal Number 1513
 
14.9%
Open Punctuation 378
 
3.7%
Close Punctuation 378
 
3.7%
Other Punctuation 157
 
1.5%
Dash Punctuation 83
 
0.8%
Uppercase Letter 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 909
15.3%
동 459
 
7.7%
주 409
 
6.9%
시 395
 
6.6%
구 395
 
6.6%
역 392
 
6.6%
로 383
 
6.4%
산 196
 
3.3%
북 149
 
2.5%
대 126
 
2.1%
Other values (195) 2147
36.0%
Decimal Number
ValueCountFrequency (%)
1 320
21.2%
2 240
15.9%
3 189
12.5%
0 129
8.5%
5 124
 
8.2%
4 122
 
8.1%
7 107
 
7.1%
8 107
 
7.1%
9 92
 
6.1%
6 83
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
Y 1
16.7%
W 1
16.7%
C 1
16.7%
A 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 115
73.2%
, 42
 
26.8%
Space Separator
ValueCountFrequency (%)
1705
100.0%
Open Punctuation
ValueCountFrequency (%)
( 378
100.0%
Close Punctuation
ValueCountFrequency (%)
) 378
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5960
58.5%
Common 4215
41.4%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 909
15.3%
동 459
 
7.7%
주 409
 
6.9%
시 395
 
6.6%
구 395
 
6.6%
역 392
 
6.6%
로 383
 
6.4%
산 196
 
3.3%
북 149
 
2.5%
대 126
 
2.1%
Other values (195) 2147
36.0%
Common
ValueCountFrequency (%)
1705
40.5%
( 378
 
9.0%
) 378
 
9.0%
1 320
 
7.6%
2 240
 
5.7%
3 189
 
4.5%
0 129
 
3.1%
5 124
 
2.9%
4 122
 
2.9%
. 115
 
2.7%
Other values (7) 515
 
12.2%
Latin
ValueCountFrequency (%)
B 2
33.3%
Y 1
16.7%
W 1
16.7%
C 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5960
58.5%
ASCII 4221
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1705
40.4%
( 378
 
9.0%
) 378
 
9.0%
1 320
 
7.6%
2 240
 
5.7%
3 189
 
4.5%
0 129
 
3.1%
5 124
 
2.9%
4 122
 
2.9%
. 115
 
2.7%
Other values (12) 521
 
12.3%
Hangul
ValueCountFrequency (%)
광 909
15.3%
동 459
 
7.7%
주 409
 
6.9%
시 395
 
6.6%
구 395
 
6.6%
역 392
 
6.6%
로 383
 
6.4%
산 196
 
3.3%
북 149
 
2.5%
대 126
 
2.1%
Other values (195) 2147
36.0%

Interactions

2024-03-15T11:09:18.253119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:09:29.170821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.000
구분0.0001.000
2024-03-15T11:09:29.413670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.000
구분0.0001.000

Missing values

2024-03-15T11:09:18.811594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:09:19.144855image/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

순번구분사업소명대표자사업소 주소
01유료정진관직업소개소정진관광주광역시 동구 제봉로 98 (장동)
12유료계림동근로자대기소문기정광주광역시 동구 중앙로 328 (계림동)
23유료학운근로자대기소안기선광주광역시 동구 남문로 742-1 (학동)
34유료한국간병인협회조우순광주광역시 동구 양림로119번길 7. 8층 5호 (학동)
45유료광주여성간병인협회이찬옥광주광역시 동구 제봉로 53. 2층 (남동)
56유료이미옥직업소개소이미옥광주광역시 동구 양림로119번길 7. 609호 (학동)
67무료(사)노동실업광주센터정향자광주광역시 동구 중앙로196번길 29. 3층 (대의동)
78유료한국예술종합학교부설취업지원센터김영미광주광역시 동구 서석로 89 (대의동)
89유료광주송현근로자대기소한계환광주광역시 동구 필문대로 151. 1층 (산수동)
910유료무진요양보호사협회장혜선광주광역시 동구 문화전당로26번길 14. 2층 (서석동)
순번구분사업소명대표자사업소 주소
382383유료비전인력홍기영광주광역시 광산구 금봉로 95 (우산동)
383384유료대박인력사무소김선재광주광역시 광산구 첨단중앙로 47번길 43 (월계동)
384385유료국토근로자대기소정주성광주광역시 광산구 첨단내촌로 53-8 (월계동)
385386유료하나웰유순미광주광역시 광산구 평동로740번길 34 (옥동)
386387유료나라인력사무소윤영이광주광역시 광산구 고봉로 6 (흑석동)
387388유료평동근로자대기소박현희광주광역시 광산구 평동로 743 (옥동)
388389유료A&H 솔루션송은아광주광역시 광산구 사암로 391, 202호 (하남동)
389390유료가치인력임지덕광주광역시 광산구 사암로 146, 대명도어산업 (우산동)
390391유료청지기인력사무소추종원광주광역시 광산구 평동로 780-1 (옥동)
391392유료국제인력대기소이은나광주광역시 광산구 사암로 345 (월곡동)