Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.1%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Text3
Numeric1
Categorical2
DateTime1

Dataset

Description기업인력애로센터 일자리매칭플랫폼(https://job.kosmes.or.kr)구인기업 목록- 중소기업 취업희망 구직자를 모집하기위해 채용공고를 플랫폼에 게시
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15100246/fileData.do

Alerts

Dataset has 6 (0.1%) duplicate rowsDuplicates
고용형태 is highly imbalanced (78.9%)Imbalance

Reproduction

Analysis started2024-04-06 08:15:17.089286
Analysis finished2024-04-06 08:15:20.531865
Duration3.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업명
Text

Distinct8019
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:15:20.998824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length7.6017
Min length2

Characters and Unicode

Total characters76017
Distinct characters841
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6694 ?
Unique (%)66.9%

Sample

1st row(주)에프원테크
2nd row(주)휴텐
3rd row(주)비아트
4th row이트너스(주)
5th row(주)야스
ValueCountFrequency (%)
로쏘(주 13
 
0.1%
주)대두식품 9
 
0.1%
주)삼형전자 9
 
0.1%
주)삼화테크 8
 
0.1%
주)풍림파마텍 8
 
0.1%
주)이성당서수공장 8
 
0.1%
주)한미식품 8
 
0.1%
씨엠에이글로벌 8
 
0.1%
주)세컨신드롬 8
 
0.1%
주)한국기능공사 8
 
0.1%
Other values (8009) 9913
99.1%
2024-04-06T17:15:22.104132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 8105
 
10.7%
) 7131
 
9.4%
( 7110
 
9.4%
이 2768
 
3.6%
스 2322
 
3.1%
사 1435
 
1.9%
에 1380
 
1.8%
회 1215
 
1.6%
식 1126
 
1.5%
아 902
 
1.2%
Other values (831) 42523
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60819
80.0%
Close Punctuation 7135
 
9.4%
Open Punctuation 7114
 
9.4%
Uppercase Letter 593
 
0.8%
Lowercase Letter 154
 
0.2%
Decimal Number 89
 
0.1%
Other Punctuation 53
 
0.1%
Other Symbol 49
 
0.1%
Control 8
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 8105
 
13.3%
이 2768
 
4.6%
스 2322
 
3.8%
사 1435
 
2.4%
에 1380
 
2.3%
회 1215
 
2.0%
식 1126
 
1.9%
아 902
 
1.5%
업 823
 
1.4%
지 812
 
1.3%
Other values (762) 39931
65.7%
Uppercase Letter
ValueCountFrequency (%)
S 78
13.2%
T 59
 
9.9%
E 48
 
8.1%
N 44
 
7.4%
C 43
 
7.3%
M 32
 
5.4%
P 31
 
5.2%
G 29
 
4.9%
I 28
 
4.7%
A 28
 
4.7%
Other values (14) 173
29.2%
Lowercase Letter
ValueCountFrequency (%)
n 19
12.3%
e 14
 
9.1%
s 13
 
8.4%
a 13
 
8.4%
r 12
 
7.8%
m 11
 
7.1%
t 10
 
6.5%
i 10
 
6.5%
c 10
 
6.5%
u 7
 
4.5%
Other values (10) 35
22.7%
Decimal Number
ValueCountFrequency (%)
2 25
28.1%
1 18
20.2%
6 9
 
10.1%
3 8
 
9.0%
0 6
 
6.7%
7 6
 
6.7%
4 6
 
6.7%
5 4
 
4.5%
9 4
 
4.5%
8 3
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 28
52.8%
& 18
34.0%
, 3
 
5.7%
# 2
 
3.8%
; 1
 
1.9%
/ 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 7131
99.9%
） 3
 
< 0.1%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7110
99.9%
（ 3
 
< 0.1%
[ 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㈜ 49
100.0%
Control
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60868
80.1%
Common 14402
 
18.9%
Latin 747
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 8105
 
13.3%
이 2768
 
4.5%
스 2322
 
3.8%
사 1435
 
2.4%
에 1380
 
2.3%
회 1215
 
2.0%
식 1126
 
1.8%
아 902
 
1.5%
업 823
 
1.4%
지 812
 
1.3%
Other values (763) 39980
65.7%
Latin
ValueCountFrequency (%)
S 78
 
10.4%
T 59
 
7.9%
E 48
 
6.4%
N 44
 
5.9%
C 43
 
5.8%
M 32
 
4.3%
P 31
 
4.1%
G 29
 
3.9%
I 28
 
3.7%
A 28
 
3.7%
Other values (34) 327
43.8%
Common
ValueCountFrequency (%)
) 7131
49.5%
( 7110
49.4%
. 28
 
0.2%
2 25
 
0.2%
1 18
 
0.1%
& 18
 
0.1%
6 9
 
0.1%
3 8
 
0.1%
8
 
0.1%
0 6
 
< 0.1%
Other values (14) 41
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60819
80.0%
ASCII 15143
 
19.9%
None 55
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 8105
 
13.3%
이 2768
 
4.6%
스 2322
 
3.8%
사 1435
 
2.4%
에 1380
 
2.3%
회 1215
 
2.0%
식 1126
 
1.9%
아 902
 
1.5%
업 823
 
1.4%
지 812
 
1.3%
Other values (762) 39931
65.7%
ASCII
ValueCountFrequency (%)
) 7131
47.1%
( 7110
47.0%
S 78
 
0.5%
T 59
 
0.4%
E 48
 
0.3%
N 44
 
0.3%
C 43
 
0.3%
M 32
 
0.2%
P 31
 
0.2%
G 29
 
0.2%
Other values (56) 538
 
3.6%
None
ValueCountFrequency (%)
㈜ 49
89.1%
） 3
 
5.5%
（ 3
 
5.5%

사업자번호
Real number (ℝ)

Distinct8078
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7639093 × 109
Minimum5.3817332 × 108
Maximum8.998701 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:15:22.507957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3817332 × 108
5-th percentile1.1381752 × 109
Q11.3981309 × 109
median3.4102009 × 109
Q35.5981012 × 109
95-th percentile7.8981261 × 109
Maximum8.998701 × 109
Range8.4605277 × 109
Interquartile range (IQR)4.1999703 × 109

Descriptive statistics

Standard deviation2.2180866 × 109
Coefficient of variation (CV)0.58930394
Kurtosis-0.93780664
Mean3.7639093 × 109
Median Absolute Deviation (MAD)2.0220259 × 109
Skewness0.43406124
Sum3.7639093 × 1013
Variance4.9199081 × 1018
MonotonicityNot monotonic
2024-04-06T17:15:22.841709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3058148738 13
 
0.1%
1138151560 9
 
0.1%
4018105115 9
 
0.1%
6138125994 8
 
0.1%
5148168885 8
 
0.1%
4018518559 8
 
0.1%
1258112293 8
 
0.1%
1368126782 8
 
0.1%
4018115331 8
 
0.1%
5048186979 8
 
0.1%
Other values (8068) 9913
99.1%
ValueCountFrequency (%)
538173317 1
< 0.1%
1010488141 1
< 0.1%
1011053959 1
< 0.1%
1011055092 1
< 0.1%
1011287531 1
< 0.1%
1012250668 1
< 0.1%
1012450639 1
< 0.1%
1018118476 1
< 0.1%
1018121379 1
< 0.1%
1018135174 1
< 0.1%
ValueCountFrequency (%)
8998701021 2
< 0.1%
8998500260 1
 
< 0.1%
8998100262 1
 
< 0.1%
8992000505 1
 
< 0.1%
8988700198 1
 
< 0.1%
8988700072 1
 
< 0.1%
8988600847 1
 
< 0.1%
8988501140 1
 
< 0.1%
8978700517 1
 
< 0.1%
8978601557 3
< 0.1%

지역구분
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기
2198 
서울
1598 
경남
792 
경북
669 
인천
550 
Other values (13)
4193 

Length

Max length4
Median length2
Mean length2.002
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기
2nd row경기
3rd row충남
4th row경기
5th row경기

Common Values

ValueCountFrequency (%)
경기 2198
22.0%
서울 1598
16.0%
경남 792
 
7.9%
경북 669
 
6.7%
인천 550
 
5.5%
부산 513
 
5.1%
대구 507
 
5.1%
전북 472
 
4.7%
충남 451
 
4.5%
충북 448
 
4.5%
Other values (8) 1802
18.0%

Length

2024-04-06T17:15:23.179031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 2198
22.0%
서울 1598
16.0%
경남 792
 
7.9%
경북 669
 
6.7%
인천 550
 
5.5%
부산 513
 
5.1%
대구 507
 
5.1%
전북 472
 
4.7%
충남 451
 
4.5%
충북 448
 
4.5%
Other values (8) 1802
18.0%

종업원수
Text

Distinct420
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:15:23.991493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.8768
Min length1

Characters and Unicode

Total characters18768
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)1.4%

Sample

1st row34
2nd row6
3rd row18
4th row606
5th row246
ValueCountFrequency (%)
5 416
 
4.2%
10 371
 
3.7%
20 297
 
3.0%
4 290
 
2.9%
0 283
 
2.8%
6 279
 
2.8%
3 273
 
2.7%
8 258
 
2.6%
15 249
 
2.5%
7 243
 
2.4%
Other values (410) 7041
70.4%
2024-04-06T17:15:25.177602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3627
19.3%
2 2607
13.9%
0 2441
13.0%
3 1907
10.2%
5 1901
10.1%
4 1689
9.0%
6 1360
 
7.2%
8 1159
 
6.2%
7 1126
 
6.0%
9 907
 
4.8%
Other values (4) 44
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18724
99.8%
Other Letter 44
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3627
19.4%
2 2607
13.9%
0 2441
13.0%
3 1907
10.2%
5 1901
10.2%
4 1689
9.0%
6 1360
 
7.3%
8 1159
 
6.2%
7 1126
 
6.0%
9 907
 
4.8%
Other Letter
ValueCountFrequency (%)
확 11
25.0%
인 11
25.0%
불 11
25.0%
가 11
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18724
99.8%
Hangul 44
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3627
19.4%
2 2607
13.9%
0 2441
13.0%
3 1907
10.2%
5 1901
10.2%
4 1689
9.0%
6 1360
 
7.3%
8 1159
 
6.2%
7 1126
 
6.0%
9 907
 
4.8%
Hangul
ValueCountFrequency (%)
확 11
25.0%
인 11
25.0%
불 11
25.0%
가 11
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18724
99.8%
Hangul 44
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3627
19.4%
2 2607
13.9%
0 2441
13.0%
3 1907
10.2%
5 1901
10.2%
4 1689
9.0%
6 1360
 
7.3%
8 1159
 
6.2%
7 1126
 
6.0%
9 907
 
4.8%
Hangul
ValueCountFrequency (%)
확 11
25.0%
인 11
25.0%
불 11
25.0%
가 11
25.0%

공고명
Text

Distinct9615
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:15:25.730661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47
Mean length20.3587
Min length1

Characters and Unicode

Total characters203587
Distinct characters920
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9400 ?
Unique (%)94.0%

Sample

1st row국책사업진행관리경력직모집공고
2nd row[우수기업](주)휴텐에서온라인이커머스사업,마케팅및디자이너모집합니다.
3rd row**가구(싱크대)공장의재단/조립기사신입구함
4th row이트너스(주)21년4기채용연계형인턴모집(서울/경기/인천/광주)
5th row**2021년신입/경력채용(자동화PLC부문)
ValueCountFrequency (%)
생산직모집 23
 
0.2%
생산직사원모집 20
 
0.2%
보충역 16
 
0.2%
대중소기업상생일자리프로그램]한샘협력사_홈인테리어디자이너모집 15
 
0.1%
생산직원모집 15
 
0.1%
정규직원모집합니다 11
 
0.1%
직원모집 10
 
0.1%
보충역모집 10
 
0.1%
생산직채용공고 9
 
0.1%
직원채용 8
 
0.1%
Other values (9555) 9865
98.6%
2024-04-06T17:15:26.964995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6301
 
3.1%
) 5648
 
2.8%
( 5617
 
2.8%
모 5214
 
2.6%
집 5059
 
2.5%
원 4663
 
2.3%
직 4464
 
2.2%
사 4226
 
2.1%
용 3831
 
1.9%
주 3751
 
1.8%
Other values (910) 154813
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166946
82.0%
Other Punctuation 11385
 
5.6%
Close Punctuation 8451
 
4.2%
Open Punctuation 8406
 
4.1%
Uppercase Letter 4625
 
2.3%
Decimal Number 2136
 
1.0%
Lowercase Letter 1284
 
0.6%
Connector Punctuation 233
 
0.1%
Math Symbol 69
 
< 0.1%
Other Symbol 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 5214
 
3.1%
집 5059
 
3.0%
원 4663
 
2.8%
직 4464
 
2.7%
사 4226
 
2.5%
용 3831
 
2.3%
주 3751
 
2.2%
채 3481
 
2.1%
리 3404
 
2.0%
업 3381
 
2.0%
Other values (822) 125472
75.2%
Uppercase Letter
ValueCountFrequency (%)
C 811
17.5%
S 442
 
9.6%
D 370
 
8.0%
A 361
 
7.8%
M 352
 
7.6%
T 279
 
6.0%
P 279
 
6.0%
N 243
 
5.3%
E 175
 
3.8%
I 155
 
3.4%
Other values (16) 1158
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 154
12.0%
a 143
11.1%
n 113
 
8.8%
r 105
 
8.2%
i 103
 
8.0%
t 102
 
7.9%
c 88
 
6.9%
o 79
 
6.2%
s 47
 
3.7%
d 44
 
3.4%
Other values (15) 306
23.8%
Other Punctuation
ValueCountFrequency (%)
* 6301
55.3%
/ 1958
 
17.2%
, 1749
 
15.4%
. 797
 
7.0%
& 235
 
2.1%
· 210
 
1.8%
: 60
 
0.5%
# 39
 
0.3%
! 15
 
0.1%
@ 12
 
0.1%
Other values (4) 9
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 868
40.6%
0 407
19.1%
1 350
16.4%
3 232
 
10.9%
4 108
 
5.1%
5 78
 
3.7%
6 52
 
2.4%
9 17
 
0.8%
7 12
 
0.6%
8 12
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 5648
66.8%
] 2802
33.2%
} 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 38
55.1%
~ 30
43.5%
> 1
 
1.4%
Other Symbol
ValueCountFrequency (%)
㈜ 28
77.8%
★ 6
 
16.7%
◎ 2
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 5617
66.8%
[ 2789
33.2%
Connector Punctuation
ValueCountFrequency (%)
_ 233
100.0%
Control
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166962
82.0%
Common 30704
 
15.1%
Latin 5909
 
2.9%
Han 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 5214
 
3.1%
집 5059
 
3.0%
원 4663
 
2.8%
직 4464
 
2.7%
사 4226
 
2.5%
용 3831
 
2.3%
주 3751
 
2.2%
채 3481
 
2.1%
리 3404
 
2.0%
업 3381
 
2.0%
Other values (819) 125488
75.2%
Latin
ValueCountFrequency (%)
C 811
 
13.7%
S 442
 
7.5%
D 370
 
6.3%
A 361
 
6.1%
M 352
 
6.0%
T 279
 
4.7%
P 279
 
4.7%
N 243
 
4.1%
E 175
 
3.0%
I 155
 
2.6%
Other values (41) 2442
41.3%
Common
ValueCountFrequency (%)
* 6301
20.5%
) 5648
18.4%
( 5617
18.3%
] 2802
9.1%
[ 2789
9.1%
/ 1958
 
6.4%
, 1749
 
5.7%
2 868
 
2.8%
. 797
 
2.6%
0 407
 
1.3%
Other values (26) 1768
 
5.8%
Han
ValueCountFrequency (%)
外 5
41.7%
有 4
33.3%
內 2
 
16.7%
件 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166926
82.0%
ASCII 36395
 
17.9%
None 238
 
0.1%
CJK 12
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Misc Symbols 6
 
< 0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6301
17.3%
) 5648
15.5%
( 5617
15.4%
] 2802
 
7.7%
[ 2789
 
7.7%
/ 1958
 
5.4%
, 1749
 
4.8%
2 868
 
2.4%
C 811
 
2.2%
. 797
 
2.2%
Other values (74) 7055
19.4%
Hangul
ValueCountFrequency (%)
모 5214
 
3.1%
집 5059
 
3.0%
원 4663
 
2.8%
직 4464
 
2.7%
사 4226
 
2.5%
용 3831
 
2.3%
주 3751
 
2.2%
채 3481
 
2.1%
리 3404
 
2.0%
업 3381
 
2.0%
Other values (814) 125452
75.2%
None
ValueCountFrequency (%)
· 210
88.2%
㈜ 28
 
11.8%
Misc Symbols
ValueCountFrequency (%)
★ 6
100.0%
CJK
ValueCountFrequency (%)
外 5
41.7%
有 4
33.3%
內 2
 
16.7%
件 1
 
8.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 4
50.0%
ㆍ 2
25.0%
ㅍ 1
 
12.5%
ㄹ 1
 
12.5%
Geometric Shapes
ValueCountFrequency (%)
◎ 2
100.0%

고용형태
Categorical

IMBALANCE 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정규직
8380 
병역특례
 
572
계약직
 
350
정규직,계약직
 
340
정규직,병역특례
 
102
Other values (30)
 
256

Length

Max length15
Median length3
Mean length3.3057
Min length2

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row정규직
2nd row정규직
3rd row정규직
4th row인턴
5th row정규직

Common Values

ValueCountFrequency (%)
정규직 8380
83.8%
병역특례 572
 
5.7%
계약직 350
 
3.5%
정규직,계약직 340
 
3.4%
정규직,병역특례 102
 
1.0%
확인불가 85
 
0.9%
인턴 34
 
0.3%
정규직,인턴 25
 
0.2%
위촉직 18
 
0.2%
정규직,계약직,인턴 11
 
0.1%
Other values (25) 83
 
0.8%

Length

2024-04-06T17:15:27.223930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정규직 8380
83.8%
병역특례 572
 
5.7%
계약직 350
 
3.5%
정규직,계약직 340
 
3.4%
정규직,병역특례 102
 
1.0%
확인불가 85
 
0.9%
인턴 34
 
0.3%
정규직,인턴 25
 
0.2%
위촉직 18
 
0.2%
정규직,계약직,인턴 11
 
0.1%
Other values (25) 83
 
0.8%

공고등록일
Date

Distinct1187
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-07-24 00:00:00
Maximum2024-03-13 00:00:00
2024-04-06T17:15:27.447348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:27.863418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-06T17:15:19.682841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:15:28.020268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자번호지역구분고용형태
사업자번호1.0000.7500.143
지역구분0.7501.0000.142
고용형태0.1430.1421.000
2024-04-06T17:15:28.219358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분고용형태
지역구분1.0000.038
고용형태0.0381.000
2024-04-06T17:15:28.432929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자번호지역구분고용형태
사업자번호1.0000.4050.049
지역구분0.4051.0000.038
고용형태0.0490.0381.000

Missing values

2024-04-06T17:15:20.024427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:15:20.408553image/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

기업명사업자번호지역구분종업원수공고명고용형태공고등록일
16369(주)에프원테크1258190135경기34국책사업진행관리경력직모집공고정규직2023-01-25
11018(주)휴텐2388801387경기6[우수기업](주)휴텐에서온라인이커머스사업,마케팅및디자이너모집합니다.정규직2023-06-20
43300(주)비아트3148662011충남18**가구(싱크대)공장의재단/조립기사신입구함정규직2021-04-27
33301이트너스(주)2018166865경기606이트너스(주)21년4기채용연계형인턴모집(서울/경기/인천/광주)인턴2021-09-27
45713(주)야스1108156305경기246**2021년신입/경력채용(자동화PLC부문)정규직2021-03-05
53317신의페트라(주)1208156414충남63선반가공인원모집합니다.정규직2020-07-13
33934솔브레인5248601789경기1230[2021년대중소기업상생일자리프로그램]SK하이닉스사업단협력사구인공고솔브레인(주)인턴2021-11-26
36169(주)아이쿱1148694723서울26(주)아이쿱개발직각부문인력채용합니다.정규직2021-10-18
58383(주)디엔피유1308178792인천9(주)디엔피유제품개발팀제품·산업디자인경력사원채용정규직2019-11-08
58363주)풍산인더스트리1358623962경기14자재입출고경력직사원모집정규직2019-11-11
기업명사업자번호지역구분종업원수공고명고용형태공고등록일
30021(주)윤창4108675283광주25**(주)윤창품질사무원구인정규직2021-11-25
30098(주)경우4878800622충남2[2021년대중소기업상생일자리프로그램]롯데GRS사업단협력사구인공고(주)경우정규직2021-11-23
29392(주)학지사에듀5148140382서울20출간편집교정교열직원모집정규직2021-12-09
28898(주)디에이치정공4108702720광주19**(주)디에이치정공재무회계,원가분석경력자모집정규직2022-03-18
49003(주)에스에이치리테일물류사업부6058545492부산0**(주)에스에이치리테일기업에서커피텍로스터스원두영업사원을모집정규직2020-11-27
57466(주)총각네휴대폰가게1288677228경기6휴대폰판매및전산직원모집정규직2020-01-29
26544정일금형정공(주)1238138472경기44[현장코칭]정일금형정공(주)사출사부품질관리사원모집정규직2022-05-12
15749(주)제이스퓨처3508700231경기13[(주)제이스퓨처]각부문별신입및경력직채용정규직2023-02-13
41387테이스티플랫폼5816300222부산8**테이스티플랫폼생산직채용정규직2021-06-14
57316(주)네비웍스2208177117경기104*(주)네비웍스SW개발및기술영업모집정규직2020-02-03

Duplicate rows

Most frequently occurring

기업명사업자번호지역구분종업원수공고명고용형태공고등록일# duplicates
2(주)오로스테크놀로지1298166452경기90오로스테크놀로지신입채용[(대.중소기업청년희망나눔)SK하이닉스협력사채용연계직무교육프로그램]인턴2021-01-223
0(주)메디트리파운더스1298688728경기19(주)메디트리파운더스구매업무경력자모집정규직2023-11-022
1(주)시스젠4028189442전북34서버및네트워크초.중급엔지니어모집(전주/익산/군산)정규직2023-09-072
3비엔케이코스텍6087900310경기8**화장품연구원모집공고정규직2023-10-232
4유정시스템(주)1138166326서울89유정시스템신입채용[(대.중소기업청년희망나눔)SK하이닉스협력사채용연계직무교육프로그램]인턴2021-01-222
5잘만정공(주)5148132238대구54포장반사원모집정규직2023-09-262