Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory154.0 B

Variable types

Numeric2
DateTime2
Text4
Categorical10

Dataset

Description구인사업체 정보(연번,구인신청일,모집기간,사업장명,모집직종,고용형태,임금형태,임금,입사형태,요구경력,요구학력,사업장 주소,기업형태,담당기관,등록일,연락처)
Author한국장애인고용공단
URLhttps://www.data.go.kr/data/3072637/fileData.do

Alerts

연락처 has constant value ""Constant
임금 is highly overall correlated with 임금형태High correlation
임금형태 is highly overall correlated with 임금 and 1 other fieldsHigh correlation
입사형태 is highly overall correlated with 요구경력High correlation
요구경력 is highly overall correlated with 입사형태High correlation
전공계열 is highly overall correlated with 임금형태 and 1 other fieldsHigh correlation
기업형태 is highly overall correlated with 전공계열High correlation
입사형태 is highly imbalanced (82.3%)Imbalance
요구경력 is highly imbalanced (73.0%)Imbalance
요구학력 is highly imbalanced (84.2%)Imbalance
전공계열 is highly imbalanced (94.8%)Imbalance
요구자격증 is highly imbalanced (97.7%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:21:01.520330
Analysis finished2024-03-14 18:21:07.866016
Duration6.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5883.5408
Minimum1
Maximum11771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:21:08.116836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile594.95
Q12927.5
median5878.5
Q38841.25
95-th percentile11183.05
Maximum11771
Range11770
Interquartile range (IQR)5913.75

Descriptive statistics

Standard deviation3403.495
Coefficient of variation (CV)0.57847734
Kurtosis-1.2078242
Mean5883.5408
Median Absolute Deviation (MAD)2957.5
Skewness0.0027531675
Sum58835408
Variance11583778
MonotonicityNot monotonic
2024-03-15T03:21:08.612172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5455 1
 
< 0.1%
6569 1
 
< 0.1%
10059 1
 
< 0.1%
4393 1
 
< 0.1%
2688 1
 
< 0.1%
2804 1
 
< 0.1%
1774 1
 
< 0.1%
5573 1
 
< 0.1%
3030 1
 
< 0.1%
1164 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
11771 1
< 0.1%
11770 1
< 0.1%
11769 1
< 0.1%
11768 1
< 0.1%
11767 1
< 0.1%
11766 1
< 0.1%
11765 1
< 0.1%
11764 1
< 0.1%
11763 1
< 0.1%
11762 1
< 0.1%

구인신청일자
Date

Distinct290
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-12-29 00:00:00
2024-03-15T03:21:09.073618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:21:09.551718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

모집기간
Text

Distinct4458
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:21:10.550287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters210000
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2453 ?
Unique (%)24.5%

Sample

1st row2023-07-11~2023-09-11
2nd row2023-10-23~2023-10-31
3rd row2023-12-13~2024-01-01
4th row2023-09-27~2023-10-04
5th row2023-11-28~2023-12-01
ValueCountFrequency (%)
2023-02-27~2023-03-10 29
 
0.3%
2023-11-06~2023-12-31 23
 
0.2%
2023-08-29~2023-09-08 22
 
0.2%
2023-11-03~2023-11-30 19
 
0.2%
2023-05-08~2023-05-31 17
 
0.2%
2023-01-02~2023-01-31 17
 
0.2%
2023-07-24~2023-08-31 17
 
0.2%
2023-10-30~2023-11-30 16
 
0.2%
2023-01-09~2023-01-31 16
 
0.2%
2023-03-06~2023-03-31 15
 
0.1%
Other values (4448) 9809
98.1%
2024-03-15T03:21:11.851190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 50596
24.1%
0 44290
21.1%
- 40000
19.0%
3 27075
12.9%
1 18022
 
8.6%
~ 10000
 
4.8%
4 3791
 
1.8%
8 3520
 
1.7%
7 3473
 
1.7%
6 3138
 
1.5%
Other values (2) 6095
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
76.2%
Dash Punctuation 40000
 
19.0%
Math Symbol 10000
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 50596
31.6%
0 44290
27.7%
3 27075
16.9%
1 18022
 
11.3%
4 3791
 
2.4%
8 3520
 
2.2%
7 3473
 
2.2%
6 3138
 
2.0%
5 3136
 
2.0%
9 2959
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 40000
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 50596
24.1%
0 44290
21.1%
- 40000
19.0%
3 27075
12.9%
1 18022
 
8.6%
~ 10000
 
4.8%
4 3791
 
1.8%
8 3520
 
1.7%
7 3473
 
1.7%
6 3138
 
1.5%
Other values (2) 6095
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 50596
24.1%
0 44290
21.1%
- 40000
19.0%
3 27075
12.9%
1 18022
 
8.6%
~ 10000
 
4.8%
4 3791
 
1.8%
8 3520
 
1.7%
7 3473
 
1.7%
6 3138
 
1.5%
Other values (2) 6095
 
2.9%

사업장명
Text

Distinct5242
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:21:12.871248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length9.1779
Min length2

Characters and Unicode

Total characters91779
Distinct characters829
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3353 ?
Unique (%)33.5%

Sample

1st row주식회사 인탑스위드
2nd row에스엠플러스
3rd row(주)동아위드
4th row사회복지법인마로원부설길직업재활센터
5th row포천시청
ValueCountFrequency (%)
주식회사 1159
 
9.1%
유한회사 141
 
1.1%
쿠팡 101
 
0.8%
쿠팡풀필먼트서비스유한회사 78
 
0.6%
쿠팡로지스틱스서비스 71
 
0.6%
주)현대그린푸드 66
 
0.5%
사단법인 59
 
0.5%
의료법인 45
 
0.4%
한국전력공사 42
 
0.3%
사회적협동조합 40
 
0.3%
Other values (5611) 10957
85.9%
2024-03-15T03:21:13.962021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5262
 
5.7%
) 3568
 
3.9%
( 3535
 
3.9%
사 3112
 
3.4%
2788
 
3.0%
회 2514
 
2.7%
스 2042
 
2.2%
식 1822
 
2.0%
이 1657
 
1.8%
원 1647
 
1.8%
Other values (819) 63832
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80549
87.8%
Close Punctuation 3622
 
3.9%
Open Punctuation 3583
 
3.9%
Space Separator 2817
 
3.1%
Uppercase Letter 562
 
0.6%
Lowercase Letter 386
 
0.4%
Decimal Number 157
 
0.2%
Other Punctuation 66
 
0.1%
Other Symbol 23
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5262
 
6.5%
사 3112
 
3.9%
회 2514
 
3.1%
스 2042
 
2.5%
식 1822
 
2.3%
이 1657
 
2.1%
원 1647
 
2.0%
교 1535
 
1.9%
학 1499
 
1.9%
한 1273
 
1.6%
Other values (743) 58186
72.2%
Uppercase Letter
ValueCountFrequency (%)
C 79
14.1%
S 66
11.7%
K 62
 
11.0%
G 46
 
8.2%
L 32
 
5.7%
T 25
 
4.4%
I 24
 
4.3%
D 24
 
4.3%
M 23
 
4.1%
B 23
 
4.1%
Other values (13) 158
28.1%
Lowercase Letter
ValueCountFrequency (%)
o 67
17.4%
t 51
13.2%
n 38
9.8%
i 36
9.3%
r 31
8.0%
a 26
 
6.7%
s 25
 
6.5%
e 20
 
5.2%
d 19
 
4.9%
c 14
 
3.6%
Other values (13) 59
15.3%
Decimal Number
ValueCountFrequency (%)
1 33
21.0%
2 31
19.7%
3 31
19.7%
5 17
10.8%
4 16
10.2%
0 14
8.9%
6 7
 
4.5%
9 5
 
3.2%
7 2
 
1.3%
8 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 36
54.5%
, 16
24.2%
& 9
 
13.6%
· 2
 
3.0%
/ 1
 
1.5%
， 1
 
1.5%
． 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 3568
98.5%
） 54
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 3535
98.7%
（ 48
 
1.3%
Space Separator
ValueCountFrequency (%)
2788
99.0%
　 29
 
1.0%
Letter Number
ValueCountFrequency (%)
Ⅴ 2
50.0%
Ⅱ 2
50.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80571
87.8%
Common 10255
 
11.2%
Latin 952
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5262
 
6.5%
사 3112
 
3.9%
회 2514
 
3.1%
스 2042
 
2.5%
식 1822
 
2.3%
이 1657
 
2.1%
원 1647
 
2.0%
교 1535
 
1.9%
학 1499
 
1.9%
한 1273
 
1.6%
Other values (743) 58208
72.2%
Latin
ValueCountFrequency (%)
C 79
 
8.3%
o 67
 
7.0%
S 66
 
6.9%
K 62
 
6.5%
t 51
 
5.4%
G 46
 
4.8%
n 38
 
4.0%
i 36
 
3.8%
L 32
 
3.4%
r 31
 
3.3%
Other values (38) 444
46.6%
Common
ValueCountFrequency (%)
) 3568
34.8%
( 3535
34.5%
2788
27.2%
） 54
 
0.5%
（ 48
 
0.5%
. 36
 
0.4%
1 33
 
0.3%
2 31
 
0.3%
3 31
 
0.3%
　 29
 
0.3%
Other values (17) 102
 
1.0%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80548
87.8%
ASCII 11068
 
12.1%
None 158
 
0.2%
Number Forms 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5262
 
6.5%
사 3112
 
3.9%
회 2514
 
3.1%
스 2042
 
2.5%
식 1822
 
2.3%
이 1657
 
2.1%
원 1647
 
2.0%
교 1535
 
1.9%
학 1499
 
1.9%
한 1273
 
1.6%
Other values (742) 58185
72.2%
ASCII
ValueCountFrequency (%)
) 3568
32.2%
( 3535
31.9%
2788
25.2%
C 79
 
0.7%
o 67
 
0.6%
S 66
 
0.6%
K 62
 
0.6%
t 51
 
0.5%
G 46
 
0.4%
n 38
 
0.3%
Other values (57) 768
 
6.9%
None
ValueCountFrequency (%)
） 54
34.2%
（ 48
30.4%
　 29
18.4%
㈜ 23
14.6%
· 2
 
1.3%
， 1
 
0.6%
． 1
 
0.6%
Number Forms
ValueCountFrequency (%)
Ⅴ 2
50.0%
Ⅱ 2
50.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

모집직종
Text

Distinct492
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:21:14.923831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length12.4518
Min length2

Characters and Unicode

Total characters124518
Distinct characters393
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)1.7%

Sample

1st row플라스틱제품 조립원 및 검사원
2nd row기타 기계 조작원
3rd row인쇄, 목재, 가구 및 기타 제조 분야 단순 종사원
4th row음료 조리사
5th row사무 보조원(국가 및 자치단체, 공공기관)
ValueCountFrequency (%)
및 1968
 
6.3%
기타 1664
 
5.3%
사무 1524
 
4.9%
보조원 1277
 
4.1%
종사원 1168
 
3.7%
단순 976
 
3.1%
분야 948
 
3.0%
환경 905
 
2.9%
미화원 904
 
2.9%
건물 866
 
2.8%
Other values (760) 19014
60.9%
2024-03-15T03:21:16.191425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21229
 
17.0%
원 9510
 
7.6%
사 5662
 
4.5%
조 4582
 
3.7%
기 3482
 
2.8%
보 2844
 
2.3%
) 2838
 
2.3%
( 2838
 
2.3%
무 2792
 
2.2%
단 2203
 
1.8%
Other values (383) 66538
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92920
74.6%
Space Separator 21229
 
17.0%
Other Punctuation 4169
 
3.3%
Close Punctuation 2838
 
2.3%
Open Punctuation 2838
 
2.3%
Uppercase Letter 519
 
0.4%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 9510
 
10.2%
사 5662
 
6.1%
조 4582
 
4.9%
기 3482
 
3.7%
보 2844
 
3.1%
무 2792
 
3.0%
단 2203
 
2.4%
및 1968
 
2.1%
공 1942
 
2.1%
타 1725
 
1.9%
Other values (356) 56210
60.5%
Uppercase Letter
ValueCountFrequency (%)
C 93
17.9%
D 85
16.4%
S 80
15.4%
L 54
10.4%
E 53
10.2%
B 38
7.3%
A 23
 
4.4%
T 22
 
4.2%
I 21
 
4.0%
P 11
 
2.1%
Other values (9) 39
7.5%
Other Punctuation
ValueCountFrequency (%)
· 2080
49.9%
, 2069
49.6%
/ 13
 
0.3%
. 7
 
0.2%
Space Separator
ValueCountFrequency (%)
21229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2838
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2838
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92920
74.6%
Common 31079
 
25.0%
Latin 519
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 9510
 
10.2%
사 5662
 
6.1%
조 4582
 
4.9%
기 3482
 
3.7%
보 2844
 
3.1%
무 2792
 
3.0%
단 2203
 
2.4%
및 1968
 
2.1%
공 1942
 
2.1%
타 1725
 
1.9%
Other values (356) 56210
60.5%
Latin
ValueCountFrequency (%)
C 93
17.9%
D 85
16.4%
S 80
15.4%
L 54
10.4%
E 53
10.2%
B 38
7.3%
A 23
 
4.4%
T 22
 
4.2%
I 21
 
4.0%
P 11
 
2.1%
Other values (9) 39
7.5%
Common
ValueCountFrequency (%)
21229
68.3%
) 2838
 
9.1%
( 2838
 
9.1%
· 2080
 
6.7%
, 2069
 
6.7%
/ 13
 
< 0.1%
. 7
 
< 0.1%
- 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92920
74.6%
ASCII 29518
 
23.7%
None 2080
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21229
71.9%
) 2838
 
9.6%
( 2838
 
9.6%
, 2069
 
7.0%
C 93
 
0.3%
D 85
 
0.3%
S 80
 
0.3%
L 54
 
0.2%
E 53
 
0.2%
B 38
 
0.1%
Other values (16) 141
 
0.5%
Hangul
ValueCountFrequency (%)
원 9510
 
10.2%
사 5662
 
6.1%
조 4582
 
4.9%
기 3482
 
3.7%
보 2844
 
3.1%
무 2792
 
3.0%
단 2203
 
2.4%
및 1968
 
2.1%
공 1942
 
2.1%
타 1725
 
1.9%
Other values (356) 56210
60.5%
None
ValueCountFrequency (%)
· 2080
100.0%

고용형태
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
계약직
4978 
상용직
4464 
시간제
558 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상용직
2nd row상용직
3rd row계약직
4th row상용직
5th row계약직

Common Values

ValueCountFrequency (%)
계약직 4978
49.8%
상용직 4464
44.6%
시간제 558
 
5.6%

Length

2024-03-15T03:21:16.417324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:21:16.674054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계약직 4978
49.8%
상용직 4464
44.6%
시간제 558
 
5.6%

임금형태
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시급
5732 
월급
3482 
연봉
679 
일급
 
107

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시급 5732
57.3%
월급 3482
34.8%
연봉 679
 
6.8%
일급 107
 
1.1%

Length

2024-03-15T03:21:16.855644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:21:17.081087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시급 5732
57.3%
월급 3482
34.8%
연봉 679
 
6.8%
일급 107
 
1.1%

임금
Real number (ℝ)

HIGH CORRELATION 

Distinct914
Distinct (%)9.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2360637.4
Minimum6030
Maximum60000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:21:17.441482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6030
5-th percentile9620
Q19620
median9860
Q31510340
95-th percentile24126144
Maximum60000000
Range59993970
Interquartile range (IQR)1500720

Descriptive statistics

Standard deviation6844199.6
Coefficient of variation (CV)2.8993015
Kurtosis14.874857
Mean2360637.4
Median Absolute Deviation (MAD)240
Skewness3.8885226
Sum2.3601653 × 1010
Variance4.6843068 × 1013
MonotonicityNot monotonic
2024-03-15T03:21:17.845065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9620 4811
48.1%
2010580 323
 
3.2%
12030 301
 
3.0%
2100000 208
 
2.1%
9860 183
 
1.8%
10000 131
 
1.3%
1200000 111
 
1.1%
1010100 97
 
1.0%
1100000 96
 
1.0%
1005290 77
 
0.8%
Other values (904) 3660
36.6%
ValueCountFrequency (%)
6030 1
 
< 0.1%
8900 1
 
< 0.1%
9160 19
 
0.2%
9260 4
 
< 0.1%
9310 1
 
< 0.1%
9320 1
 
< 0.1%
9500 1
 
< 0.1%
9610 2
 
< 0.1%
9620 4811
48.1%
9630 2
 
< 0.1%
ValueCountFrequency (%)
60000000 1
 
< 0.1%
57410000 1
 
< 0.1%
55000000 3
< 0.1%
50000000 2
< 0.1%
46006000 1
 
< 0.1%
46000000 2
< 0.1%
45000000 2
< 0.1%
44000000 4
< 0.1%
43500000 1
 
< 0.1%
42744000 1
 
< 0.1%

입사형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무관
9599 
신입
 
256
경력
 
145

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무관 9599
96.0%
신입 256
 
2.6%
경력 145
 
1.5%

Length

2024-03-15T03:21:18.184111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:21:18.497264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무관 9599
96.0%
신입 256
 
2.6%
경력 145
 
1.5%

요구경력
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무관
5820 
0년개월
4052 
1년개월
 
41
2년개월
 
19
1년0개월
 
17
Other values (12)
 
51

Length

Max length6
Median length2
Mean length2.8403
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row무관
2nd row0년개월
3rd row무관
4th row무관
5th row무관

Common Values

ValueCountFrequency (%)
무관 5820
58.2%
0년개월 4052
40.5%
1년개월 41
 
0.4%
2년개월 19
 
0.2%
1년0개월 17
 
0.2%
3년개월 15
 
0.1%
2년0개월 10
 
0.1%
5년개월 9
 
0.1%
0년6개월 4
 
< 0.1%
5년0개월 3
 
< 0.1%
Other values (7) 10
 
0.1%

Length

2024-03-15T03:21:18.884573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무관 5820
58.2%
0년개월 4052
40.5%
1년개월 41
 
0.4%
2년개월 19
 
0.2%
1년0개월 17
 
0.2%
3년개월 15
 
0.1%
2년0개월 10
 
0.1%
5년개월 9
 
0.1%
0년6개월 4
 
< 0.1%
5년0개월 3
 
< 0.1%
Other values (7) 10
 
0.1%

요구학력
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무관
9386 
고졸
 
432
대졸
 
104
초대졸
 
74
석사
 
3

Length

Max length3
Median length2
Mean length2.0074
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
무관 9386
93.9%
고졸 432
 
4.3%
대졸 104
 
1.0%
초대졸 74
 
0.7%
석사 3
 
< 0.1%
박사 1
 
< 0.1%

Length

2024-03-15T03:21:19.301689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:21:19.586243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무관 9386
93.9%
고졸 432
 
4.3%
대졸 104
 
1.0%
초대졸 74
 
0.7%
석사 3
 
< 0.1%
박사 1
 
< 0.1%

전공계열
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9752 
가족·사회·복지학
 
27
금융·회계·세무학
 
26
전산학·컴퓨터공학
 
23
기계공학
 
14
Other values (41)
 
158

Length

Max length11
Median length4
Mean length4.0464
Min length2

Unique

Unique11 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9752
97.5%
가족·사회·복지학 27
 
0.3%
금융·회계·세무학 26
 
0.3%
전산학·컴퓨터공학 23
 
0.2%
기계공학 14
 
0.1%
식품영양학 13
 
0.1%
디자인일반 12
 
0.1%
시각디자인 12
 
0.1%
건축학 11
 
0.1%
전기공학 9
 
0.1%
Other values (36) 101
 
1.0%

Length

2024-03-15T03:21:19.786506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9752
97.5%
가족·사회·복지학 27
 
0.3%
금융·회계·세무학 26
 
0.3%
전산학·컴퓨터공학 23
 
0.2%
기계공학 14
 
0.1%
식품영양학 13
 
0.1%
디자인일반 12
 
0.1%
시각디자인 12
 
0.1%
건축학 11
 
0.1%
전기공학 9
 
0.1%
Other values (39) 108
 
1.1%

요구자격증
Categorical

IMBALANCE 

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
9903 
자동차운전면허2종보통
 
11
자동차운전면허
 
9
바리스타 2급 바리스타 1급
 
5
안마사
 
5
Other values (44)
 
67

Length

Max length26
Median length4
Mean length4.0972
Min length4

Unique

Unique30 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
9903
99.0%
자동차운전면허2종보통 11
 
0.1%
자동차운전면허 9
 
0.1%
바리스타 2급 바리스타 1급 5
 
0.1%
안마사 5
 
0.1%
바리스타 1급 바리스타 2급 5
 
0.1%
자동차운전면허1종보통 4
 
< 0.1%
지게차운전기능사 3
 
< 0.1%
일반경비지도사 3
 
< 0.1%
바리스타 2급 3
 
< 0.1%
Other values (39) 49
 
0.5%

Length

2024-03-15T03:21:20.048718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
바리스타 25
15.4%
1급 14
 
8.6%
자동차운전면허2종보통 13
 
8.0%
2급 13
 
8.0%
자동차운전면허 10
 
6.2%
자동차운전면허1종보통 6
 
3.7%
사회복지사 6
 
3.7%
안마사 5
 
3.1%
지게차운전기능사 5
 
3.1%
요양보호사 4
 
2.5%
Other values (43) 61
37.7%

사업장 주소
Text

Distinct5285
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:21:21.239155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length58
Mean length29.9182
Min length16

Characters and Unicode

Total characters299182
Distinct characters736
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3379 ?
Unique (%)33.8%

Sample

1st row경상북도 구미시 옥계2공단로 148 (구포동) 사무실
2nd row서울특별시 금천구 서부샛길 280 동원디어푸드 더반찬 1층
3rd row부산광역시 사하구 낙동대로 542 (하단동, 대우에덴프라자) 지하층 301호
4th row제주특별자치도 제주시 한림읍 한림뱅디길 88-17 .
5th row경기도 포천시 중앙로 87 (신읍동)
ValueCountFrequency (%)
서울특별시 3095
 
5.1%
경기도 1530
 
2.5%
부산광역시 545
 
0.9%
강남구 513
 
0.8%
경상북도 496
 
0.8%
전라북도 485
 
0.8%
충청남도 457
 
0.8%
경상남도 450
 
0.7%
대전광역시 435
 
0.7%
송파구 432
 
0.7%
Other values (10442) 52161
86.1%
2024-03-15T03:21:22.932634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51840
 
17.3%
시 9913
 
3.3%
동 9610
 
3.2%
로 9474
 
3.2%
1 8729
 
2.9%
) 8605
 
2.9%
( 8599
 
2.9%
구 7810
 
2.6%
2 5990
 
2.0%
도 5409
 
1.8%
Other values (726) 173203
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183316
61.3%
Space Separator 51840
 
17.3%
Decimal Number 42153
 
14.1%
Close Punctuation 8605
 
2.9%
Open Punctuation 8599
 
2.9%
Dash Punctuation 1730
 
0.6%
Other Punctuation 1638
 
0.5%
Uppercase Letter 1055
 
0.4%
Lowercase Letter 156
 
0.1%
Math Symbol 87
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9913
 
5.4%
동 9610
 
5.2%
로 9474
 
5.2%
구 7810
 
4.3%
도 5409
 
3.0%
서 5145
 
2.8%
산 3782
 
2.1%
대 3706
 
2.0%
길 3644
 
2.0%
울 3487
 
1.9%
Other values (658) 121336
66.2%
Uppercase Letter
ValueCountFrequency (%)
B 173
16.4%
K 97
 
9.2%
C 89
 
8.4%
S 87
 
8.2%
A 82
 
7.8%
T 57
 
5.4%
F 56
 
5.3%
I 53
 
5.0%
D 47
 
4.5%
M 45
 
4.3%
Other values (15) 269
25.5%
Lowercase Letter
ValueCountFrequency (%)
c 28
17.9%
k 23
14.7%
t 22
14.1%
s 21
13.5%
e 11
 
7.1%
l 9
 
5.8%
d 8
 
5.1%
g 7
 
4.5%
n 4
 
2.6%
w 4
 
2.6%
Other values (9) 19
12.2%
Decimal Number
ValueCountFrequency (%)
1 8729
20.7%
2 5990
14.2%
3 5108
12.1%
0 4201
10.0%
5 3626
8.6%
4 3449
 
8.2%
7 3059
 
7.3%
6 3036
 
7.2%
8 2551
 
6.1%
9 2404
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 1324
80.8%
. 296
 
18.1%
/ 5
 
0.3%
& 5
 
0.3%
· 3
 
0.2%
， 3
 
0.2%
: 2
 
0.1%
Space Separator
ValueCountFrequency (%)
51840
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8605
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1730
100.0%
Math Symbol
ValueCountFrequency (%)
~ 87
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183316
61.3%
Common 114653
38.3%
Latin 1211
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9913
 
5.4%
동 9610
 
5.2%
로 9474
 
5.2%
구 7810
 
4.3%
도 5409
 
3.0%
서 5145
 
2.8%
산 3782
 
2.1%
대 3706
 
2.0%
길 3644
 
2.0%
울 3487
 
1.9%
Other values (658) 121336
66.2%
Latin
ValueCountFrequency (%)
B 173
14.3%
K 97
 
8.0%
C 89
 
7.3%
S 87
 
7.2%
A 82
 
6.8%
T 57
 
4.7%
F 56
 
4.6%
I 53
 
4.4%
D 47
 
3.9%
M 45
 
3.7%
Other values (34) 425
35.1%
Common
ValueCountFrequency (%)
51840
45.2%
1 8729
 
7.6%
) 8605
 
7.5%
( 8599
 
7.5%
2 5990
 
5.2%
3 5108
 
4.5%
0 4201
 
3.7%
5 3626
 
3.2%
4 3449
 
3.0%
7 3059
 
2.7%
Other values (13) 11447
 
10.0%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183314
61.3%
ASCII 115858
38.7%
None 8
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51840
44.7%
1 8729
 
7.5%
) 8605
 
7.4%
( 8599
 
7.4%
2 5990
 
5.2%
3 5108
 
4.4%
0 4201
 
3.6%
5 3626
 
3.1%
4 3449
 
3.0%
7 3059
 
2.6%
Other values (55) 12652
 
10.9%
Hangul
ValueCountFrequency (%)
시 9913
 
5.4%
동 9610
 
5.2%
로 9474
 
5.2%
구 7810
 
4.3%
도 5409
 
3.0%
서 5145
 
2.8%
산 3782
 
2.1%
대 3706
 
2.0%
길 3644
 
2.0%
울 3487
 
1.9%
Other values (657) 121334
66.2%
None
ValueCountFrequency (%)
· 3
37.5%
， 3
37.5%
㈜ 2
25.0%
CJK
ValueCountFrequency (%)
內 2
100.0%

기업형태
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
중소
5744 
공사,공공
1762 
대기업
1350 
개인
742 
협회,단체
 
325

Length

Max length5
Median length2
Mean length2.7688
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중소
2nd row개인
3rd row중소
4th row협회,단체
5th row중소

Common Values

ValueCountFrequency (%)
중소 5744
57.4%
공사,공공 1762
 
17.6%
대기업 1350
 
13.5%
개인 742
 
7.4%
협회,단체 325
 
3.2%
외국계 77
 
0.8%

Length

2024-03-15T03:21:23.366369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:21:23.740139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소 5744
57.4%
공사,공공 1762
 
17.6%
대기업 1350
 
13.5%
개인 742
 
7.4%
협회,단체 325
 
3.2%
외국계 77
 
0.8%

담당기관
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울동부지사
1026 
서울남부지사
758 
대전지역본부
 
566
부산지역본부
 
555
전북지사
 
542
Other values (21)
6553 

Length

Max length9
Median length6
Mean length5.3195
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경북지사
2nd row서울남부지사
3rd row부산지역본부
4th row제주지사
5th row경기북부지사

Common Values

ValueCountFrequency (%)
서울동부지사 1026
 
10.3%
서울남부지사 758
 
7.6%
대전지역본부 566
 
5.7%
부산지역본부 555
 
5.5%
전북지사 542
 
5.4%
경기동부지사 535
 
5.3%
충남지사 463
 
4.6%
인천지사 454
 
4.5%
경기서부지사 454
 
4.5%
충북지사 431
 
4.3%
Other values (16) 4216
42.2%

Length

2024-03-15T03:21:23.950817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울동부지사 1026
 
10.3%
서울남부지사 758
 
7.6%
대전지역본부 566
 
5.7%
부산지역본부 555
 
5.5%
전북지사 542
 
5.4%
경기동부지사 535
 
5.3%
충남지사 463
 
4.6%
인천지사 454
 
4.5%
경기서부지사 454
 
4.5%
충북지사 431
 
4.3%
Other values (16) 4216
42.2%

등록일
Date

Distinct261
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-02-16 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T03:21:24.250693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:21:24.699236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1588-1519
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1588-1519
2nd row1588-1519
3rd row1588-1519
4th row1588-1519
5th row1588-1519

Common Values

ValueCountFrequency (%)
1588-1519 10000
100.0%

Length

2024-03-15T03:21:25.250286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:21:25.405138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1588-1519 10000
100.0%

Interactions

2024-03-15T03:21:05.896535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:21:05.354163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:21:06.168124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:21:05.618856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:21:25.519060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번고용형태임금형태임금입사형태요구경력요구학력전공계열요구자격증기업형태담당기관
연번1.0000.0790.0660.0570.0000.0450.0430.2500.0000.0910.147
고용형태0.0791.0000.2190.1470.1120.1590.1020.6220.0000.5200.469
임금형태0.0660.2191.0000.7600.0660.1910.2380.8890.1050.2080.357
임금0.0570.1470.7601.0000.1510.3450.4510.7080.1940.1460.171
입사형태0.0000.1120.0660.1511.0000.8260.2850.6830.2720.1610.137
요구경력0.0450.1590.1910.3450.8261.0000.3670.5290.6730.3030.089
요구학력0.0430.1020.2380.4510.2850.3671.0000.5170.1550.1370.117
전공계열0.2500.6220.8890.7080.6830.5290.5171.0000.0000.8430.856
요구자격증0.0000.0000.1050.1940.2720.6730.1550.0001.0000.0330.072
기업형태0.0910.5200.2080.1460.1610.3030.1370.8430.0331.0000.350
담당기관0.1470.4690.3570.1710.1370.0890.1170.8560.0720.3501.000
2024-03-15T03:21:25.756853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고용형태기업형태요구자격증담당기관입사형태임금형태요구학력요구경력전공계열
고용형태1.0000.2500.0000.2740.0340.2080.0420.0850.332
기업형태0.2501.0000.0140.1650.0670.1350.0500.1480.505
요구자격증0.0000.0141.0000.0160.1370.0530.0660.2390.000
담당기관0.2740.1650.0161.0000.0690.1940.0520.0260.352
입사형태0.0340.0670.1370.0691.0000.0620.1230.6670.383
임금형태0.2080.1350.0530.1940.0621.0000.1550.1070.616
요구학력0.0420.0500.0660.0520.1230.1551.0000.1820.226
요구경력0.0850.1480.2390.0260.6670.1070.1821.0000.188
전공계열0.3320.5050.0000.3520.3830.6160.2260.1881.000
2024-03-15T03:21:26.055088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번임금고용형태임금형태입사형태요구경력요구학력전공계열요구자격증기업형태담당기관
연번1.000-0.0230.0470.0390.0000.0170.0230.0750.0000.0480.054
임금-0.0231.0000.0880.5720.0910.1410.2570.3300.0670.0770.063
고용형태0.0470.0881.0000.2080.0340.0850.0420.3320.0000.2500.274
임금형태0.0390.5720.2081.0000.0620.1070.1550.6160.0530.1350.194
입사형태0.0000.0910.0340.0621.0000.6670.1230.3830.1370.0670.069
요구경력0.0170.1410.0850.1070.6671.0000.1820.1880.2390.1480.026
요구학력0.0230.2570.0420.1550.1230.1821.0000.2260.0660.0500.052
전공계열0.0750.3300.3320.6160.3830.1880.2261.0000.0000.5050.352
요구자격증0.0000.0670.0000.0530.1370.2390.0660.0001.0000.0140.016
기업형태0.0480.0770.2500.1350.0670.1480.0500.5050.0141.0000.165
담당기관0.0540.0630.2740.1940.0690.0260.0520.3520.0160.1651.000

Missing values

2024-03-15T03:21:06.579161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:21:07.343335image/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

연번구인신청일자모집기간사업장명모집직종고용형태임금형태임금입사형태요구경력요구학력전공계열요구자격증사업장 주소기업형태담당기관등록일연락처
545454552023-07-112023-07-11~2023-09-11주식회사 인탑스위드플라스틱제품 조립원 및 검사원상용직시급9620무관무관무관<NA>경상북도 구미시 옥계2공단로 148 (구포동) 사무실중소경북지사2023-07-181588-1519
225022512023-10-232023-10-23~2023-10-31에스엠플러스기타 기계 조작원상용직시급9620무관0년개월무관<NA>서울특별시 금천구 서부샛길 280 동원디어푸드 더반찬 1층개인서울남부지사2023-10-301588-1519
3643652023-12-132023-12-13~2024-01-01(주)동아위드인쇄, 목재, 가구 및 기타 제조 분야 단순 종사원계약직시급9860무관무관무관<NA>부산광역시 사하구 낙동대로 542 (하단동, 대우에덴프라자) 지하층 301호중소부산지역본부2023-12-131588-1519
291429152023-09-272023-09-27~2023-10-04사회복지법인마로원부설길직업재활센터음료 조리사상용직시급9620무관무관무관<NA>제주특별자치도 제주시 한림읍 한림뱅디길 88-17 .협회,단체제주지사2023-09-271588-1519
8178182023-11-282023-11-28~2023-12-01포천시청사무 보조원(국가 및 자치단체, 공공기관)계약직시급9860무관무관무관<NA>경기도 포천시 중앙로 87 (신읍동)중소경기북부지사2023-11-281588-1519
478647872023-07-312023-07-31~2023-08-05(주)농가식품김치·밑반찬 제조 종사원상용직월급2020000무관무관무관<NA>경기도 포천시 소흘읍 민락로 636-31 (이동교리)중소경기북부지사2023-07-311588-1519
592059212023-06-272023-06-27~2023-08-18주식회사그린산업세탁원상용직시급9620무관무관무관<NA>충청북도 제천시 백운면 금봉로 365 리솜포레스트 지하6층 그린산업세탁실중소충북지사2023-06-271588-1519
201120122023-10-272023-10-27~2023-12-31(주)다함께인쇄, 목재, 가구 및 기타 제조 분야 단순 종사원상용직시급9620무관무관무관<NA>인천광역시 남동구 아암대로 1223 성강지식산업센타 317호 (고잔동)중소인천지사2023-10-271588-1519
534853492023-07-132023-07-13~2023-07-17소화아람일터인쇄, 목재, 가구 및 기타 제조 분야 단순 종사원계약직시급11930무관무관무관<NA>광주광역시 남구 용대로74번길 27 소화아람일터 (봉선동)중소광주지역본부2023-07-131588-1519
186118622023-10-312023-10-31~2024-01-30(주)현대캐터링시스템단체 급식 보조원계약직월급1040000무관0년개월무관<NA>경기도 성남시 분당구 야탑로 98 2층 (주)현대캐터링시스템 (야탑동)대기업전남지사2023-10-311588-1519
연번구인신청일자모집기간사업장명모집직종고용형태임금형태임금입사형태요구경력요구학력전공계열요구자격증사업장 주소기업형태담당기관등록일연락처
10124101252023-02-202023-02-20~2023-02-24에너지경제연구원사무 보조원(국가 및 자치단체, 공공기관)계약직일급85000무관무관무관<NA>울산광역시 중구 종가로 405-11 (성안동)공사,공공울산지사2023-02-201588-1519
221322142023-10-242023-10-24~2023-12-30(주)씨앤알주방 보조원(일반 음식점)시간제시급9620무관무관무관<NA>서울특별시 구로구 디지털로31길 38-21 이엔씨벤처드림타워 3차 903호중소서울북부지사2023-10-241588-1519
543454352023-07-112023-07-11~2023-10-10(주)지에스네트웍스 경산지점인쇄, 목재, 가구 및 기타 제조 분야 단순 종사원상용직시급9620무관무관무관<NA>경상북도 경산시 진량읍 일연로 689 .대기업대구지역본부2023-07-111588-1519
407940802023-08-242023-08-24~2023-11-09현대해상화재보험(주)사무 보조원계약직월급2150000무관무관무관<NA>서울특별시 종로구 세종대로 163 현대해상빌딩대기업대구지역본부2023-08-241588-1519
505850592023-07-242023-07-24~2023-10-23카페꿈틀서울시교육연수원점음료 조리사계약직시급9620무관무관무관<NA>서울특별시 서초구 남부순환로 2248 서울시서초교육연수원 교육동 1층 카페꿈틀연수원점 (방배동)중소서울동부지사2023-07-311588-1519
214121422023-10-252023-10-25~2023-12-31주식회사한성교통경·소형 화물차 운전원계약직월급2100000무관무관무관<NA>울산광역시 울주군 청량면 웅촌로 1263 율리공영차고지 3층 U-BUS중소울산지사2023-10-251588-1519
429842992023-08-162023-08-16~2023-08-20키움증권(주)음료 조리사계약직연봉15000000무관0년개월무관<NA>서울특별시 영등포구 국제금융로2길 36 (여의도동)대기업서울남부지사2023-08-161588-1519
281028112023-10-052023-10-05~2023-10-13주식회사 피플앤컬쳐음료 조리사계약직시급9620무관0년개월무관<NA>인천광역시 서구 염곡로311번길 18-1 (석남동) 1층 카패 데브중소서울남부지사2023-10-111588-1519
10321103222023-02-142023-02-14~2023-02-21대성여자고등학교단체 급식 보조원계약직월급2000000무관무관무관<NA>광주광역시 남구 서문대로663번길 37 (진월동) (진월동,대성여자고등학교)중소광주지역본부2023-02-141588-1519
11086110872023-01-242023-01-24~2023-03-31(주)나누리금형제조 보조원시간제시급9620무관무관무관<NA>충청남도 예산군 신암면 추사로 447 (신종리 207-1)중소충남지사2023-01-261588-1519