Overview

Dataset statistics

Number of variables19
Number of observations30
Missing cells80
Missing cells (%)14.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory160.4 B

Variable types

Numeric2
Text6
Unsupported2
Categorical8
Boolean1

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://bigdata-region.kr/#/dataset/156e8956-adf5-4e0b-9a5d-805f56ab3c35

Alerts

채용공고고유번호 is highly overall correlated with 파티션기준일High correlation
경력년수 is highly overall correlated with 경력조건정보명 and 2 other fieldsHigh correlation
경력조건정보명 is highly overall correlated with 경력년수High correlation
경력년수정보명 is highly overall correlated with 경력년수 and 1 other fieldsHigh correlation
급여유형정보명 is highly overall correlated with 급여수준명 and 1 other fieldsHigh correlation
급여수준명 is highly overall correlated with 급여유형정보명High correlation
근무형태명 is highly overall correlated with 경력년수 and 2 other fieldsHigh correlation
파티션기준일 is highly overall correlated with 채용공고고유번호High correlation
근무형태명 is highly imbalanced (64.1%)Imbalance
업종직종정보명 has 30 (100.0%) missing valuesMissing
급여수준정보명 has 19 (63.3%) missing valuesMissing
상세내용 has 30 (100.0%) missing valuesMissing
근무지역명 has 1 (3.3%) missing valuesMissing
채용공고고유번호 has unique valuesUnique
채용공고제목 has unique valuesUnique
업종직종정보명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상세내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
경력년수 has 9 (30.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:02:21.503310
Analysis finished2023-12-10 14:02:24.385435
Duration2.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채용공고고유번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34369374
Minimum34192332
Maximum34446996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:02:24.474467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34192332
5-th percentile34252775
Q134362708
median34374008
Q334388402
95-th percentile34441207
Maximum34446996
Range254664
Interquartile range (IQR)25694.25

Descriptive statistics

Standard deviation55853.18
Coefficient of variation (CV)0.0016250857
Kurtosis3.1944718
Mean34369374
Median Absolute Deviation (MAD)14248.5
Skewness-1.5775181
Sum1.0310812 × 109
Variance3.1195778 × 109
MonotonicityNot monotonic
2023-12-10T23:02:24.636928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
34389334 1
 
3.3%
34369082 1
 
3.3%
34385606 1
 
3.3%
34385395 1
 
3.3%
34385171 1
 
3.3%
34382807 1
 
3.3%
34377577 1
 
3.3%
34377460 1
 
3.3%
34374492 1
 
3.3%
34373524 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
34192332 1
3.3%
34241548 1
3.3%
34266496 1
3.3%
34298194 1
3.3%
34354686 1
3.3%
34357433 1
3.3%
34358936 1
3.3%
34360583 1
3.3%
34369082 1
3.3%
34370048 1
3.3%
ValueCountFrequency (%)
34446996 1
3.3%
34446959 1
3.3%
34434177 1
3.3%
34423441 1
3.3%
34417427 1
3.3%
34417406 1
3.3%
34404577 1
3.3%
34389334 1
3.3%
34385606 1
3.3%
34385395 1
3.3%

사업자등록번호
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:24.901616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique24 ?
Unique (%)80.0%

Sample

1st row211-86-54342
2nd row124-86-26765
3rd row123-81-43280
4th row123-81-43280
5th row127-81-82927
ValueCountFrequency (%)
211-86-54342 2
 
6.7%
123-81-43280 2
 
6.7%
335-86-00079 2
 
6.7%
123-86-38104 1
 
3.3%
134-81-35816 1
 
3.3%
132-81-52217 1
 
3.3%
134-81-08925 1
 
3.3%
214-87-15971 1
 
3.3%
419-82-00103 1
 
3.3%
108-81-44830 1
 
3.3%
Other values (17) 17
56.7%
2023-12-10T23:02:25.436421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.7%
1 54
15.0%
8 50
13.9%
2 36
10.0%
3 33
9.2%
0 32
8.9%
6 22
 
6.1%
4 20
 
5.6%
5 19
 
5.3%
7 19
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 54
18.0%
8 50
16.7%
2 36
12.0%
3 33
11.0%
0 32
10.7%
6 22
7.3%
4 20
 
6.7%
5 19
 
6.3%
7 19
 
6.3%
9 15
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.7%
1 54
15.0%
8 50
13.9%
2 36
10.0%
3 33
9.2%
0 32
8.9%
6 22
 
6.1%
4 20
 
5.6%
5 19
 
5.3%
7 19
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.7%
1 54
15.0%
8 50
13.9%
2 36
10.0%
3 33
9.2%
0 32
8.9%
6 22
 
6.1%
4 20
 
5.6%
5 19
 
5.3%
7 19
 
5.3%

기업정보URL
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:25.843301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length76
Mean length73.733333
Min length70

Characters and Unicode

Total characters2212
Distinct characters45
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/bicns5?Oem_Code=C900&api=232
2nd rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/excion?Oem_Code=C900&api=232
3rd rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232
4th rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232
5th rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/dkone0908?Oem_Code=C900&api=232
ValueCountFrequency (%)
http://www.jobkorea.co.kr/recruit/co_read/c/dkr2011?oem_code=c900&api=232 2
 
6.7%
http://www.jobkorea.co.kr/recruit/co_read/c/49000dream?oem_code=c900&api=232 2
 
6.7%
http://www.jobkorea.co.kr/recruit/co_read/c/bicns5?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/forikore?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/ilsincable?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/dyboiler?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/nmman?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/wiltse6240?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/gw0444?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/dabueng0601?oem_code=c900&api=232 1
 
3.3%
Other values (18) 18
60.0%
2023-12-10T23:02:26.444694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 180
 
8.1%
e 165
 
7.5%
o 164
 
7.4%
C 120
 
5.4%
a 102
 
4.6%
r 100
 
4.5%
t 97
 
4.4%
w 94
 
4.2%
. 90
 
4.1%
0 80
 
3.6%
Other values (35) 1020
46.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1282
58.0%
Other Punctuation 360
 
16.3%
Decimal Number 238
 
10.8%
Uppercase Letter 212
 
9.6%
Math Symbol 60
 
2.7%
Connector Punctuation 60
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 165
12.9%
o 164
12.8%
a 102
 
8.0%
r 100
 
7.8%
t 97
 
7.6%
w 94
 
7.3%
c 70
 
5.5%
i 69
 
5.4%
d 68
 
5.3%
k 65
 
5.1%
Other values (14) 288
22.5%
Decimal Number
ValueCountFrequency (%)
0 80
33.6%
2 67
28.2%
3 35
14.7%
9 34
14.3%
4 9
 
3.8%
1 8
 
3.4%
6 2
 
0.8%
5 2
 
0.8%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
/ 180
50.0%
. 90
25.0%
? 30
 
8.3%
: 30
 
8.3%
& 30
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 120
56.6%
R 60
28.3%
O 30
 
14.2%
N 1
 
0.5%
M 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
= 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1494
67.5%
Common 718
32.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 165
 
11.0%
o 164
 
11.0%
C 120
 
8.0%
a 102
 
6.8%
r 100
 
6.7%
t 97
 
6.5%
w 94
 
6.3%
c 70
 
4.7%
i 69
 
4.6%
d 68
 
4.6%
Other values (19) 445
29.8%
Common
ValueCountFrequency (%)
/ 180
25.1%
. 90
12.5%
0 80
11.1%
2 67
 
9.3%
= 60
 
8.4%
_ 60
 
8.4%
3 35
 
4.9%
9 34
 
4.7%
? 30
 
4.2%
: 30
 
4.2%
Other values (6) 52
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 180
 
8.1%
e 165
 
7.5%
o 164
 
7.4%
C 120
 
5.4%
a 102
 
4.6%
r 100
 
4.5%
t 97
 
4.4%
w 94
 
4.2%
. 90
 
4.1%
0 80
 
3.6%
Other values (35) 1020
46.1%

기업명
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:26.762489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length6.3333333
Min length3

Characters and Unicode

Total characters190
Distinct characters101
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)80.0%

Sample

1st row비아이씨엔에스
2nd row㈜엑시언
3rd row써멀마스터㈜
4th row써멀마스터㈜
5th row가보주식회사
ValueCountFrequency (%)
비아이씨엔에스 2
 
6.2%
써멀마스터㈜ 2
 
6.2%
의료법인 2
 
6.2%
태건종합건설 2
 
6.2%
㈜선우팜 1
 
3.1%
㈜제이앤엘테크 1
 
3.1%
㈜일신 1
 
3.1%
㈜대열보일러 1
 
3.1%
㈜네츄럴메이드 1
 
3.1%
토마스의료재단(윌스기념병원 1
 
3.1%
Other values (18) 18
56.2%
2023-12-10T23:02:27.321419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 21
 
11.1%
이 8
 
4.2%
스 8
 
4.2%
에 6
 
3.2%
비 4
 
2.1%
건 4
 
2.1%
료 4
 
2.1%
의 4
 
2.1%
아 4
 
2.1%
드 3
 
1.6%
Other values (91) 124
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
85.8%
Other Symbol 21
 
11.1%
Space Separator 2
 
1.1%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
4.9%
스 8
 
4.9%
에 6
 
3.7%
비 4
 
2.5%
건 4
 
2.5%
료 4
 
2.5%
의 4
 
2.5%
아 4
 
2.5%
드 3
 
1.8%
마 3
 
1.8%
Other values (87) 115
70.6%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
96.8%
Common 6
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 21
 
11.4%
이 8
 
4.3%
스 8
 
4.3%
에 6
 
3.3%
비 4
 
2.2%
건 4
 
2.2%
료 4
 
2.2%
의 4
 
2.2%
아 4
 
2.2%
드 3
 
1.6%
Other values (88) 118
64.1%
Common
ValueCountFrequency (%)
2
33.3%
) 2
33.3%
( 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
85.8%
None 21
 
11.1%
ASCII 6
 
3.2%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 21
100.0%
Hangul
ValueCountFrequency (%)
이 8
 
4.9%
스 8
 
4.9%
에 6
 
3.7%
비 4
 
2.5%
건 4
 
2.5%
료 4
 
2.5%
의 4
 
2.5%
아 4
 
2.5%
드 3
 
1.8%
마 3
 
1.8%
Other values (87) 115
70.6%
ASCII
ValueCountFrequency (%)
2
33.3%
) 2
33.3%
( 2
33.3%

채용공고제목
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:27.793757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length31
Mean length25.566667
Min length8

Characters and Unicode

Total characters767
Distinct characters213
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

Unique30 ?
Unique (%)100.0%

Sample

1st row대기업 ORACLE 운영(설치; 업그레이드; 패치) 경력자분들을 모십니다.
2nd row㈜엑시언 영업관리 인력 모집(신입)
3rd row정규직 생산기술부 사원 모집
4th row생산기술부 정규직 사원모집 (AS팀)
5th row재무회계 총무 중간관리자 채용 공고
ValueCountFrequency (%)
및 10
 
6.2%
모집 10
 
6.2%
채용 5
 
3.1%
담당자 4
 
2.5%
운영 3
 
1.9%
대기업 2
 
1.2%
기획 2
 
1.2%
사원 2
 
1.2%
생산기술부 2
 
1.2%
정규직 2
 
1.2%
Other values (114) 119
73.9%
2023-12-10T23:02:28.448361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
17.3%
모 20
 
2.6%
집 18
 
2.3%
( 17
 
2.2%
) 17
 
2.2%
자 16
 
2.1%
영 13
 
1.7%
업 12
 
1.6%
사 12
 
1.6%
기 12
 
1.6%
Other values (203) 497
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
66.5%
Space Separator 133
 
17.3%
Lowercase Letter 31
 
4.0%
Uppercase Letter 29
 
3.8%
Open Punctuation 21
 
2.7%
Close Punctuation 21
 
2.7%
Other Punctuation 15
 
2.0%
Decimal Number 4
 
0.5%
Dash Punctuation 2
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 20
 
3.9%
집 18
 
3.5%
자 16
 
3.1%
영 13
 
2.5%
업 12
 
2.4%
사 12
 
2.4%
기 12
 
2.4%
원 11
 
2.2%
력 11
 
2.2%
경 11
 
2.2%
Other values (161) 374
73.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
13.8%
S 4
13.8%
E 3
10.3%
D 2
 
6.9%
I 2
 
6.9%
U 2
 
6.9%
M 2
 
6.9%
V 2
 
6.9%
N 1
 
3.4%
P 1
 
3.4%
Other values (6) 6
20.7%
Lowercase Letter
ValueCountFrequency (%)
r 5
16.1%
o 4
12.9%
m 3
9.7%
e 3
9.7%
d 3
9.7%
s 2
 
6.5%
c 2
 
6.5%
i 2
 
6.5%
g 2
 
6.5%
p 2
 
6.5%
Other values (3) 3
9.7%
Other Punctuation
ValueCountFrequency (%)
; 7
46.7%
/ 5
33.3%
. 3
20.0%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
1 1
25.0%
4 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 17
81.0%
[ 4
 
19.0%
Close Punctuation
ValueCountFrequency (%)
) 17
81.0%
] 4
 
19.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
66.6%
Common 196
 
25.6%
Latin 60
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 20
 
3.9%
집 18
 
3.5%
자 16
 
3.1%
영 13
 
2.5%
업 12
 
2.3%
사 12
 
2.3%
기 12
 
2.3%
원 11
 
2.2%
력 11
 
2.2%
경 11
 
2.2%
Other values (162) 375
73.4%
Latin
ValueCountFrequency (%)
r 5
 
8.3%
A 4
 
6.7%
o 4
 
6.7%
S 4
 
6.7%
m 3
 
5.0%
e 3
 
5.0%
d 3
 
5.0%
E 3
 
5.0%
D 2
 
3.3%
I 2
 
3.3%
Other values (19) 27
45.0%
Common
ValueCountFrequency (%)
133
67.9%
( 17
 
8.7%
) 17
 
8.7%
; 7
 
3.6%
/ 5
 
2.6%
[ 4
 
2.0%
] 4
 
2.0%
. 3
 
1.5%
- 2
 
1.0%
3 2
 
1.0%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
66.5%
ASCII 256
33.4%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
52.0%
( 17
 
6.6%
) 17
 
6.6%
; 7
 
2.7%
r 5
 
2.0%
/ 5
 
2.0%
A 4
 
1.6%
o 4
 
1.6%
[ 4
 
1.6%
] 4
 
1.6%
Other values (31) 56
21.9%
Hangul
ValueCountFrequency (%)
모 20
 
3.9%
집 18
 
3.5%
자 16
 
3.1%
영 13
 
2.5%
업 12
 
2.4%
사 12
 
2.4%
기 12
 
2.4%
원 11
 
2.2%
력 11
 
2.2%
경 11
 
2.2%
Other values (161) 374
73.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종직종정보명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

경력조건정보명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경력
15 
신입/경력
6 
관계없음
5 
신입
4 

Length

Max length5
Median length2
Mean length2.9333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경력
2nd row신입/경력
3rd row신입
4th row신입/경력
5th row관계없음

Common Values

ValueCountFrequency (%)
경력 15
50.0%
신입/경력 6
 
20.0%
관계없음 5
 
16.7%
신입 4
 
13.3%

Length

2023-12-10T23:02:28.678221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:02:28.889732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경력 15
50.0%
신입/경력 6
 
20.0%
관계없음 5
 
16.7%
신입 4
 
13.3%

경력년수정보명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1년 이상
12 
<NA>
9 
5년 이상
4 
3년 이상
2 
2년 이상
2 

Length

Max length5
Median length5
Mean length4.7
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row1년 이상
2nd row1년 이상
3rd row<NA>
4th row1년 이상
5th row<NA>

Common Values

ValueCountFrequency (%)
1년 이상 12
40.0%
<NA> 9
30.0%
5년 이상 4
 
13.3%
3년 이상 2
 
6.7%
2년 이상 2
 
6.7%
6년 이상 1
 
3.3%

Length

2023-12-10T23:02:29.072435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:02:29.236892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이상 21
41.2%
1년 12
23.5%
na 9
17.6%
5년 4
 
7.8%
3년 2
 
3.9%
2년 2
 
3.9%
6년 1
 
2.0%

경력년수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum0
Maximum6
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:02:29.380760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8307715
Coefficient of variation (CV)1.1442322
Kurtosis0.35413083
Mean1.6
Median Absolute Deviation (MAD)1
Skewness1.255723
Sum48
Variance3.3517241
MonotonicityNot monotonic
2023-12-10T23:02:29.522722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 12
40.0%
0 9
30.0%
5 4
 
13.3%
3 2
 
6.7%
2 2
 
6.7%
6 1
 
3.3%
ValueCountFrequency (%)
0 9
30.0%
1 12
40.0%
2 2
 
6.7%
3 2
 
6.7%
5 4
 
13.3%
6 1
 
3.3%
ValueCountFrequency (%)
6 1
 
3.3%
5 4
 
13.3%
3 2
 
6.7%
2 2
 
6.7%
1 12
40.0%
0 9
30.0%

급여유형정보명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
회사 내규에 따름
18 
연봉
11 
월급
 
1

Length

Max length9
Median length9
Mean length6.2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row회사 내규에 따름
2nd row회사 내규에 따름
3rd row연봉
4th row연봉
5th row회사 내규에 따름

Common Values

ValueCountFrequency (%)
회사 내규에 따름 18
60.0%
연봉 11
36.7%
월급 1
 
3.3%

Length

2023-12-10T23:02:29.743890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:02:29.900962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회사 18
27.3%
내규에 18
27.3%
따름 18
27.3%
연봉 11
16.7%
월급 1
 
1.5%

급여수준정보명
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing19
Missing (%)63.3%
Memory size372.0 B
2023-12-10T23:02:30.076900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length14.090909
Min length6

Characters and Unicode

Total characters155
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st row2400만원 ~ 2400만원
2nd row2400만원 ~ 2600만원
3rd row2380만원 ~ 2880만원
4th row2960만원 ~ 2960만원
5th row2800만원 ~ 3000만원
ValueCountFrequency (%)
10
32.3%
2400만원 4
 
12.9%
2960만원 2
 
6.5%
3000만원 2
 
6.5%
3500만원 2
 
6.5%
2600만원 1
 
3.2%
2380만원 1
 
3.2%
2880만원 1
 
3.2%
2800만원 1
 
3.2%
10000만원 1
 
3.2%
Other values (6) 6
19.4%
2023-12-10T23:02:30.462428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39
25.2%
만 21
13.5%
원 21
13.5%
20
12.9%
2 12
 
7.7%
~ 10
 
6.5%
3 8
 
5.2%
6 6
 
3.9%
5 6
 
3.9%
4 4
 
2.6%
Other values (3) 8
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83
53.5%
Other Letter 42
27.1%
Space Separator 20
 
12.9%
Math Symbol 10
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
47.0%
2 12
 
14.5%
3 8
 
9.6%
6 6
 
7.2%
5 6
 
7.2%
4 4
 
4.8%
8 4
 
4.8%
9 2
 
2.4%
1 2
 
2.4%
Other Letter
ValueCountFrequency (%)
만 21
50.0%
원 21
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113
72.9%
Hangul 42
 
27.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39
34.5%
20
17.7%
2 12
 
10.6%
~ 10
 
8.8%
3 8
 
7.1%
6 6
 
5.3%
5 6
 
5.3%
4 4
 
3.5%
8 4
 
3.5%
9 2
 
1.8%
Hangul
ValueCountFrequency (%)
만 21
50.0%
원 21
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113
72.9%
Hangul 42
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39
34.5%
20
17.7%
2 12
 
10.6%
~ 10
 
8.8%
3 8
 
7.1%
6 6
 
5.3%
5 6
 
5.3%
4 4
 
3.5%
8 4
 
3.5%
9 2
 
1.8%
Hangul
ValueCountFrequency (%)
만 21
50.0%
원 21
50.0%

급여수준명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0;0
19 
2400;2400
 
1
2400;2600
 
1
2380;2880
 
1
2960;2960
 
1
Other values (7)
7 

Length

Max length10
Median length3
Mean length5.0666667
Min length3

Unique

Unique11 ?
Unique (%)36.7%

Sample

1st row0;0
2nd row0;0
3rd row2400;2400
4th row2400;2600
5th row0;0

Common Values

ValueCountFrequency (%)
0;0 19
63.3%
2400;2400 1
 
3.3%
2400;2600 1
 
3.3%
2380;2880 1
 
3.3%
2960;2960 1
 
3.3%
2800;3000 1
 
3.3%
3000;10000 1
 
3.3%
2160;2400 1
 
3.3%
3500;5000 1
 
3.3%
350;550 1
 
3.3%
Other values (2) 2
 
6.7%

Length

2023-12-10T23:02:30.697239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0;0 19
63.3%
2400;2400 1
 
3.3%
2400;2600 1
 
3.3%
2380;2880 1
 
3.3%
2960;2960 1
 
3.3%
2800;3000 1
 
3.3%
3000;10000 1
 
3.3%
2160;2400 1
 
3.3%
3500;5000 1
 
3.3%
350;550 1
 
3.3%
Other values (2) 2
 
6.7%

연봉면접결정여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
20 
False
10 
ValueCountFrequency (%)
True 20
66.7%
False 10
33.3%
2023-12-10T23:02:30.897335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

학력제한정보명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
학력무관
10 
대졸(2~3년)
9 
대졸(4년)
6 
고졸
5 

Length

Max length8
Median length6
Mean length5.2666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학력무관
2nd row대졸(2~3년)
3rd row학력무관
4th row학력무관
5th row대졸(2~3년)

Common Values

ValueCountFrequency (%)
학력무관 10
33.3%
대졸(2~3년) 9
30.0%
대졸(4년) 6
20.0%
고졸 5
16.7%

Length

2023-12-10T23:02:31.074758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:02:31.584048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학력무관 10
33.3%
대졸(2~3년 9
30.0%
대졸(4년 6
20.0%
고졸 5
16.7%

상세내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

근무형태명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
정규직
26 
정규직; 계약직; 프리랜서
 
1
계약직; 프리랜서
 
1
인턴직
 
1
계약직
 
1

Length

Max length14
Median length3
Mean length3.5666667
Min length3

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row정규직; 계약직; 프리랜서
2nd row정규직
3rd row정규직
4th row정규직
5th row정규직

Common Values

ValueCountFrequency (%)
정규직 26
86.7%
정규직; 계약직; 프리랜서 1
 
3.3%
계약직; 프리랜서 1
 
3.3%
인턴직 1
 
3.3%
계약직 1
 
3.3%

Length

2023-12-10T23:02:31.838706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:02:32.094534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정규직 27
81.8%
계약직 3
 
9.1%
프리랜서 2
 
6.1%
인턴직 1
 
3.0%

모집인원명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
○
14 
1
11 
2
2 
○○
2 
6
 
1

Length

Max length2
Median length1
Mean length1.0666667
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row2
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 14
46.7%
1 11
36.7%
2 2
 
6.7%
○○ 2
 
6.7%
6 1
 
3.3%

Length

2023-12-10T23:02:32.322711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:02:32.497714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 14
46.7%
1 11
36.7%
2 2
 
6.7%
○○ 2
 
6.7%
6 1
 
3.3%

근무지역명
Text

MISSING 

Distinct22
Distinct (%)75.9%
Missing1
Missing (%)3.3%
Memory size372.0 B
2023-12-10T23:02:32.806397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length82
Mean length22.896552
Min length7

Characters and Unicode

Total characters664
Distinct characters71
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)62.1%

Sample

1st row성남시 분당구
2nd row화성시
3rd row화성시; 경기도 전지역; 평택시; 오산시; 안산시 상록구; 안산시 단원구; 수원시 권선구; 수원시 장안구; 수원시 팔달구; 수원시 영통구; 군포시
4th row화성시; 경기도 전지역; 평택시; 오산시; 수원시 팔달구; 수원시 장안구; 수원시 권선구; 수원시 영통구; 안산시 상록구; 안산시 단원구; 군포시
5th row경기도 전지역; 군포시; 시흥시; 안산시 단원구; 안산시 상록구; 광명시; 과천시; 평택시
ValueCountFrequency (%)
수원시 14
 
9.6%
안산시 13
 
8.9%
전지역 9
 
6.2%
성남시 7
 
4.8%
단원구 7
 
4.8%
분당구 6
 
4.1%
상록구 6
 
4.1%
오산시 5
 
3.4%
경기도 5
 
3.4%
안양시 4
 
2.7%
Other values (41) 70
47.9%
2023-12-10T23:02:33.350359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
22.6%
시 85
12.8%
; 65
 
9.8%
구 52
 
7.8%
안 25
 
3.8%
원 22
 
3.3%
산 20
 
3.0%
수 14
 
2.1%
남 12
 
1.8%
성 11
 
1.7%
Other values (61) 208
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
67.6%
Space Separator 150
 
22.6%
Other Punctuation 65
 
9.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 85
18.9%
구 52
 
11.6%
안 25
 
5.6%
원 22
 
4.9%
산 20
 
4.5%
수 14
 
3.1%
남 12
 
2.7%
성 11
 
2.4%
전 10
 
2.2%
양 10
 
2.2%
Other values (59) 188
41.9%
Space Separator
ValueCountFrequency (%)
150
100.0%
Other Punctuation
ValueCountFrequency (%)
; 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
67.6%
Common 215
32.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 85
18.9%
구 52
 
11.6%
안 25
 
5.6%
원 22
 
4.9%
산 20
 
4.5%
수 14
 
3.1%
남 12
 
2.7%
성 11
 
2.4%
전 10
 
2.2%
양 10
 
2.2%
Other values (59) 188
41.9%
Common
ValueCountFrequency (%)
150
69.8%
; 65
30.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
67.6%
ASCII 215
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
69.8%
; 65
30.2%
Hangul
ValueCountFrequency (%)
시 85
18.9%
구 52
 
11.6%
안 25
 
5.6%
원 22
 
4.9%
산 20
 
4.5%
수 14
 
3.1%
남 12
 
2.7%
성 11
 
2.4%
전 10
 
2.2%
양 10
 
2.2%
Other values (59) 188
41.9%

파티션기준일
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-01-16
8 
2020-01-15
6 
2019-12-28
3 
2020-01-14
3 
2019-12-24
2 
Other values (8)
8 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique8 ?
Unique (%)26.7%

Sample

1st row2019-12-20
2nd row2019-12-21
3rd row2019-12-24
4th row2019-12-24
5th row2019-12-25

Common Values

ValueCountFrequency (%)
2020-01-16 8
26.7%
2020-01-15 6
20.0%
2019-12-28 3
 
10.0%
2020-01-14 3
 
10.0%
2019-12-24 2
 
6.7%
2019-12-20 1
 
3.3%
2019-12-21 1
 
3.3%
2019-12-25 1
 
3.3%
2020-01-30 1
 
3.3%
2020-01-18 1
 
3.3%
Other values (3) 3
 
10.0%

Length

2023-12-10T23:02:33.584522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-01-16 8
26.7%
2020-01-15 6
20.0%
2019-12-28 3
 
10.0%
2020-01-14 3
 
10.0%
2019-12-24 2
 
6.7%
2019-12-20 1
 
3.3%
2019-12-21 1
 
3.3%
2019-12-25 1
 
3.3%
2020-01-30 1
 
3.3%
2020-01-18 1
 
3.3%
Other values (3) 3
 
10.0%

Interactions

2023-12-10T23:02:23.468122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:02:23.193923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:02:23.605738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:02:23.339197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:02:33.760484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채용공고고유번호사업자등록번호기업정보URL기업명채용공고제목경력조건정보명경력년수정보명경력년수급여유형정보명급여수준정보명급여수준명연봉면접결정여부학력제한정보명근무형태명모집인원명근무지역명파티션기준일
채용공고고유번호1.0000.9781.0000.9781.0000.5420.0000.0000.0001.0000.7430.3930.0000.5500.3130.9600.925
사업자등록번호0.9781.0001.0001.0001.0000.8860.0000.0001.0001.0000.8950.7480.9420.0000.0000.9840.965
기업정보URL1.0001.0001.0001.0001.0000.8340.8020.7661.0001.0000.6901.0000.9421.0000.7950.9741.000
기업명0.9781.0001.0001.0001.0000.8860.0000.0001.0001.0000.8950.7480.9420.0000.0000.9840.965
채용공고제목1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
경력조건정보명0.5420.8860.8340.8861.0001.0000.1010.6990.2381.0000.7590.0000.0000.0000.3430.9350.390
경력년수정보명0.0000.0000.8020.0001.0000.1011.0001.0000.3981.0000.0000.0000.0000.6860.0000.0000.616
경력년수0.0000.0000.7660.0001.0000.6991.0001.0000.7761.0000.0000.0000.0000.6690.0000.0000.494
급여유형정보명0.0001.0001.0001.0001.0000.2380.3980.7761.0001.0000.9980.0000.1770.7080.0000.2030.000
급여수준정보명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
급여수준명0.7430.8950.6900.8951.0000.7590.0000.0000.9981.0001.0000.0000.4960.6920.6260.9870.000
연봉면접결정여부0.3930.7481.0000.7481.0000.0000.0000.0000.0001.0000.0001.0000.4960.1660.2220.8840.523
학력제한정보명0.0000.9420.9420.9421.0000.0000.0000.0000.1771.0000.4960.4961.0000.1560.2140.6700.457
근무형태명0.5500.0001.0000.0001.0000.0000.6860.6690.7081.0000.6920.1660.1561.0000.4290.0000.785
모집인원명0.3130.0000.7950.0001.0000.3430.0000.0000.0001.0000.6260.2220.2140.4291.0000.7020.000
근무지역명0.9600.9840.9740.9841.0000.9350.0000.0000.2031.0000.9870.8840.6700.0000.7021.0000.892
파티션기준일0.9250.9651.0000.9651.0000.3900.6160.4940.0001.0000.0000.5230.4570.7850.0000.8921.000
2023-12-10T23:02:34.006922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경력년수정보명학력제한정보명경력조건정보명파티션기준일연봉면접결정여부근무형태명모집인원명급여수준명급여유형정보명
경력년수정보명1.0000.0000.0540.1950.0000.5960.0000.0000.294
학력제한정보명0.0001.0000.0000.1960.3190.1030.1580.1720.153
경력조건정보명0.0540.0001.0000.1490.0000.0000.2720.3560.214
파티션기준일0.1950.1960.1491.0000.3670.4640.0000.0000.000
연봉면접결정여부0.0000.3190.0000.3671.0000.1800.2480.0000.000
근무형태명0.5960.1030.0000.4640.1801.0000.1560.3880.665
모집인원명0.0000.1580.2720.0000.2480.1561.0000.3290.000
급여수준명0.0000.1720.3560.0000.0000.3880.3291.0000.770
급여유형정보명0.2940.1530.2140.0000.0000.6650.0000.7701.000
2023-12-10T23:02:34.207892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채용공고고유번호경력년수경력조건정보명경력년수정보명급여유형정보명급여수준명연봉면접결정여부학력제한정보명근무형태명모집인원명파티션기준일
채용공고고유번호1.0000.2210.3360.0000.0000.3090.3490.0000.3220.0850.571
경력년수0.2211.0000.5051.0000.4240.0000.0000.0000.5150.0000.191
경력조건정보명0.3360.5051.0000.0540.2140.3560.0000.0000.0000.2720.149
경력년수정보명0.0001.0000.0541.0000.2940.0000.0000.0000.5960.0000.195
급여유형정보명0.0000.4240.2140.2941.0000.7700.0000.1530.6650.0000.000
급여수준명0.3090.0000.3560.0000.7701.0000.0000.1720.3880.3290.000
연봉면접결정여부0.3490.0000.0000.0000.0000.0001.0000.3190.1800.2480.367
학력제한정보명0.0000.0000.0000.0000.1530.1720.3191.0000.1030.1580.196
근무형태명0.3220.5150.0000.5960.6650.3880.1800.1031.0000.1560.464
모집인원명0.0850.0000.2720.0000.0000.3290.2480.1580.1561.0000.000
파티션기준일0.5710.1910.1490.1950.0000.0000.3670.1960.4640.0001.000

Missing values

2023-12-10T23:02:23.822173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:02:24.141718image/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.
2023-12-10T23:02:24.308982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

채용공고고유번호사업자등록번호기업정보URL기업명채용공고제목업종직종정보명경력조건정보명경력년수정보명경력년수급여유형정보명급여수준정보명급여수준명연봉면접결정여부학력제한정보명상세내용근무형태명모집인원명근무지역명파티션기준일
034389334211-86-54342http://www.jobkorea.co.kr/Recruit/Co_Read/C/bicns5?Oem_Code=C900&api=232비아이씨엔에스대기업 ORACLE 운영(설치; 업그레이드; 패치) 경력자분들을 모십니다.<NA>경력1년 이상1회사 내규에 따름<NA>0;0N학력무관<NA>정규직; 계약직; 프리랜서2성남시 분당구2019-12-20
134404577124-86-26765http://www.jobkorea.co.kr/Recruit/Co_Read/C/excion?Oem_Code=C900&api=232㈜엑시언㈜엑시언 영업관리 인력 모집(신입)<NA>신입/경력1년 이상1회사 내규에 따름<NA>0;0Y대졸(2~3년)<NA>정규직○화성시2019-12-21
234417406123-81-43280http://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232써멀마스터㈜정규직 생산기술부 사원 모집<NA>신입<NA>0연봉2400만원 ~ 2400만원2400;2400Y학력무관<NA>정규직○화성시; 경기도 전지역; 평택시; 오산시; 안산시 상록구; 안산시 단원구; 수원시 권선구; 수원시 장안구; 수원시 팔달구; 수원시 영통구; 군포시2019-12-24
334417427123-81-43280http://www.jobkorea.co.kr/Recruit/Co_Read/C/dkr2011?Oem_Code=C900&api=232써멀마스터㈜생산기술부 정규직 사원모집 (AS팀)<NA>신입/경력1년 이상1연봉2400만원 ~ 2600만원2400;2600Y학력무관<NA>정규직○화성시; 경기도 전지역; 평택시; 오산시; 수원시 팔달구; 수원시 장안구; 수원시 권선구; 수원시 영통구; 안산시 상록구; 안산시 단원구; 군포시2019-12-24
434423441127-81-82927http://www.jobkorea.co.kr/Recruit/Co_Read/C/dkone0908?Oem_Code=C900&api=232가보주식회사재무회계 총무 중간관리자 채용 공고<NA>관계없음<NA>0회사 내규에 따름<NA>0;0N대졸(2~3년)<NA>정규직○경기도 전지역; 군포시; 시흥시; 안산시 단원구; 안산시 상록구; 광명시; 과천시; 평택시2019-12-25
534434177211-86-54342http://www.jobkorea.co.kr/Recruit/Co_Read/C/bicns3?Oem_Code=C900&api=232비아이씨엔에스판교 대기업 인사시스템 운영 JAVA 경력자분들을 모십니다.<NA>경력6년 이상6회사 내규에 따름<NA>0;0Y학력무관<NA>계약직; 프리랜서1성남시 분당구2019-12-28
634446959335-86-00079http://www.jobkorea.co.kr/Recruit/Co_Read/C/49000dream?Oem_Code=C900&api=232태건종합건설[강남대로 신축현장] 건축직 및 안전직 (신입/경력)모집<NA>신입/경력3년 이상3회사 내규에 따름<NA>0;0N대졸(4년)<NA>정규직○강남구; 안양시 만안구; 오산시2019-12-28
734446996335-86-00079http://www.jobkorea.co.kr/Recruit/Co_Read/C/49000dream?Oem_Code=C900&api=232태건종합건설법인부동산 임대 및 마케팅담당 신입/경력<NA>신입/경력1년 이상1회사 내규에 따름<NA>0;0N대졸(2~3년)<NA>정규직○○강남구; 안양시 만안구; 오산시2019-12-28
834192332123-86-04036http://www.jobkorea.co.kr/Recruit/Co_Read/C/jf2009?Oem_Code=C900&api=232제이에프글로벌㈜여성의류 및 남성의류 홈쇼핑 웹디자이너 모집(제품사진 촬영가능자 우대)<NA>경력1년 이상1회사 내규에 따름<NA>0;0Y학력무관<NA>정규직○<NA>2020-01-16
934241548211-88-35470http://www.jobkorea.co.kr/Recruit/Co_Read/C/photoabyz3?Oem_Code=C900&api=232㈜아비즈웹; 앱; UI/UX 기획 및 서비스 운영 담당자 채용<NA>경력1년 이상1회사 내규에 따름<NA>0;0Y학력무관<NA>정규직2성동구; 하남시2020-01-14
채용공고고유번호사업자등록번호기업정보URL기업명채용공고제목업종직종정보명경력조건정보명경력년수정보명경력년수급여유형정보명급여수준정보명급여수준명연봉면접결정여부학력제한정보명상세내용근무형태명모집인원명근무지역명파티션기준일
2034373188134-87-06685http://www.jobkorea.co.kr/Recruit/Co_Read/C/theone434?Oem_Code=C900&api=232㈜더원연구개발(Embedded programming; Micro-processor 응용; 공장자동화) 모집<NA>경력5년 이상5회사 내규에 따름<NA>0;0N학력무관<NA>정규직○시흥시; 안산시 단원구; 안산시 상록구2020-01-15
2134373204129-86-51838http://www.jobkorea.co.kr/Recruit/Co_Read/C/pacom2010?Oem_Code=C900&api=232파콤영상시현㈜3D 설계 (경력직) 인원을 모집 합니다.<NA>경력5년 이상5연봉3500만원 ~ 5000만원3500;5000Y대졸(2~3년)<NA>정규직1수원시 장안구2020-01-14
2234373524119-81-99771http://www.jobkorea.co.kr/Recruit/Co_Read/C/hhur?Oem_Code=C900&api=232㈜피타소프트(주)피타소프트 테스트엔지니어 경력자 모집(주임급이상)<NA>경력5년 이상5회사 내규에 따름<NA>0;0Y대졸(4년)<NA>정규직○성남시 분당구2020-01-14
2334374492123-86-10315http://www.jobkorea.co.kr/Recruit/Co_Read/C/dabueng0601?Oem_Code=C900&api=232다부이엔지㈜에스케이 하이닉스 이천 배관설계 모집<NA>경력2년 이상2월급350만원 ~ 550만원350;550Y고졸<NA>계약직1이천시2020-01-16
2434377460108-81-44830http://www.jobkorea.co.kr/Recruit/Co_Read/C/gw0444?Oem_Code=C900&api=232한중푸드(주) 한중푸드 영업사원 모집(신입/경력)<NA>신입/경력1년 이상1연봉3260만원0;3260N대졸(2~3년)<NA>정규직○○광주시2020-01-15
2534377577419-82-00103http://www.jobkorea.co.kr/Recruit/Co_Read/C/wiltse6240?Oem_Code=C900&api=232의료법인 토마스의료재단(윌스기념병원)[수원 윌스기념병원] 심장초음파실 방사선사 채용<NA>경력1년 이상1회사 내규에 따름<NA>0;0N대졸(2~3년)<NA>정규직1수원시 팔달구2020-01-15
2634382807214-87-15971http://www.jobkorea.co.kr/Recruit/Co_Read/C/NMman?Oem_Code=C900&api=232㈜네츄럴메이드(주)네츄럴메이드 SNS마케팅 기획 및 운영 담당자 채용<NA>경력1년 이상1회사 내규에 따름<NA>0;0Y학력무관<NA>정규직1성남시 분당구2020-01-17
2734385171134-81-08925http://www.jobkorea.co.kr/Recruit/Co_Read/C/dyboiler?Oem_Code=C900&api=232㈜대열보일러기술연구소 직원채용<NA>경력1년 이상1회사 내규에 따름<NA>0;0Y대졸(4년)<NA>정규직○안산시 단원구2020-01-16
2834385395132-81-52217http://www.jobkorea.co.kr/Recruit/Co_Read/C/ilsincable?Oem_Code=C900&api=232㈜일신본사-전기 자동제어 자재 구매 및 상담 관련 경력직 모집<NA>경력1년 이상1연봉3500만원 ~ 3600만원3500;3600Y고졸<NA>정규직○남양주시2020-01-16
2934385606128-86-58954http://www.jobkorea.co.kr/Recruit/Co_Read/C/ultimatedream?Oem_Code=C900&api=232게이트비젼㈜온라인 영업 담당자 및 회원제VIP몰 MD 모집<NA>경력2년 이상2회사 내규에 따름<NA>0;0Y학력무관<NA>정규직1경기도 전지역; 고양시 일산동구; 고양시 덕양구; 고양시 일산서구; 김포시; 파주시; 서울특별시 전지역; 은평구; 마포구; 서대문구; 종로구; 중구2020-01-07