Overview

Dataset statistics

Number of variables33
Number of observations30
Missing cells109
Missing cells (%)11.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory275.4 B

Variable types

Numeric1
Text8
Unsupported3
Categorical12
Boolean3
DateTime6

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/d90b5384-6df8-49f4-999e-9172bb50a0b2

Alerts

조회수 has constant value ""Constant
공유수 has constant value ""Constant
사용여부 has constant value ""Constant
업종직종정보명 has 30 (100.0%) missing valuesMissing
급여수준정보명 has 19 (63.3%) missing valuesMissing
상세내용 has 30 (100.0%) missing valuesMissing
잡코리아채용공고QR코드내용 has 30 (100.0%) missing valuesMissing
채용공고고유번호 has unique valuesUnique
잡코리아채용공고URL 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
잡코리아채용공고QR코드내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 14:23:34.864608
Analysis finished2023-12-10 14:23:35.626405
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채용공고고유번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34360916
Minimum34152316
Maximum34394746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:23:35.704796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34152316
5-th percentile34305268
Q134360650
median34368852
Q334380264
95-th percentile34394736
Maximum34394746
Range242430
Interquartile range (IQR)19613.75

Descriptive statistics

Standard deviation44951.094
Coefficient of variation (CV)0.0013082042
Kurtosis16.806209
Mean34360916
Median Absolute Deviation (MAD)11131
Skewness-3.8153429
Sum1.0308275 × 109
Variance2.0206009 × 109
MonotonicityStrictly increasing
2023-12-10T23:23:35.865632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
34152316 1
 
3.3%
34372697 1
 
3.3%
34394746 1
 
3.3%
34394741 1
 
3.3%
34394730 1
 
3.3%
34389334 1
 
3.3%
34387678 1
 
3.3%
34380911 1
 
3.3%
34380556 1
 
3.3%
34380544 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
34152316 1
3.3%
34282035 1
3.3%
34333664 1
3.3%
34350961 1
3.3%
34354302 1
3.3%
34355026 1
3.3%
34355838 1
3.3%
34360360 1
3.3%
34361520 1
3.3%
34362155 1
3.3%
ValueCountFrequency (%)
34394746 1
3.3%
34394741 1
3.3%
34394730 1
3.3%
34389334 1
3.3%
34387678 1
3.3%
34380911 1
3.3%
34380556 1
3.3%
34380544 1
3.3%
34379423 1
3.3%
34379162 1
3.3%

기업정보URL
Text

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:23:36.194396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length76
Mean length74.866667
Min length71

Characters and Unicode

Total characters2246
Distinct characters44
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

Unique16 ?
Unique (%)53.3%

Sample

1st rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/jjjjjj1658?Oem_Code=C900&api=232
2nd rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/soloist0?Oem_Code=C900&api=232
3rd rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/ssgdriver?Oem_Code=C900&api=232
4th rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/gksthfdl1099?Oem_Code=C900&api=232
5th rowhttp://www.jobkorea.co.kr/Recruit/Co_Read/C/cdf1801?Oem_Code=C900&api=232
ValueCountFrequency (%)
http://www.jobkorea.co.kr/recruit/co_read/c/good5931?oem_code=c900&api=232 3
 
10.0%
http://www.jobkorea.co.kr/recruit/co_read/c/ianschool?oem_code=c900&api=232 3
 
10.0%
http://www.jobkorea.co.kr/recruit/co_read/c/topaz0779801?oem_code=c900&api=232 2
 
6.7%
http://www.jobkorea.co.kr/recruit/co_read/c/adonislotte?oem_code=c900&api=232 2
 
6.7%
http://www.jobkorea.co.kr/recruit/co_read/c/jju69715031?oem_code=c900&api=232 2
 
6.7%
http://www.jobkorea.co.kr/recruit/co_read/c/kyobo112?oem_code=c900&api=232 2
 
6.7%
http://www.jobkorea.co.kr/recruit/co_read/c/cdf1801?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/leetoys?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/smtlaw2018?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/co_read/c/zzogzzog?oem_code=c900&api=232 1
 
3.3%
Other values (12) 12
40.0%
2023-12-10T23:23:36.824266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 180
 
8.0%
o 178
 
7.9%
e 161
 
7.2%
C 120
 
5.3%
t 100
 
4.5%
a 98
 
4.4%
r 92
 
4.1%
w 92
 
4.1%
. 90
 
4.0%
0 75
 
3.3%
Other values (34) 1060
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1292
57.5%
Other Punctuation 360
 
16.0%
Decimal Number 264
 
11.8%
Uppercase Letter 210
 
9.3%
Math Symbol 60
 
2.7%
Connector Punctuation 60
 
2.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 178
13.8%
e 161
12.5%
t 100
 
7.7%
a 98
 
7.6%
r 92
 
7.1%
w 92
 
7.1%
i 69
 
5.3%
d 69
 
5.3%
c 66
 
5.1%
p 64
 
5.0%
Other values (14) 303
23.5%
Decimal Number
ValueCountFrequency (%)
0 75
28.4%
2 65
24.6%
9 40
15.2%
3 35
13.3%
1 23
 
8.7%
5 8
 
3.0%
7 6
 
2.3%
8 6
 
2.3%
6 5
 
1.9%
4 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
57.1%
R 60
28.6%
O 30
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1502
66.9%
Common 744
33.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 178
 
11.9%
e 161
 
10.7%
C 120
 
8.0%
t 100
 
6.7%
a 98
 
6.5%
r 92
 
6.1%
w 92
 
6.1%
i 69
 
4.6%
d 69
 
4.6%
c 66
 
4.4%
Other values (17) 457
30.4%
Common
ValueCountFrequency (%)
/ 180
24.2%
. 90
12.1%
0 75
10.1%
2 65
 
8.7%
= 60
 
8.1%
_ 60
 
8.1%
9 40
 
5.4%
3 35
 
4.7%
? 30
 
4.0%
& 30
 
4.0%
Other values (7) 79
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 180
 
8.0%
o 178
 
7.9%
e 161
 
7.2%
C 120
 
5.3%
t 100
 
4.5%
a 98
 
4.4%
r 92
 
4.1%
w 92
 
4.1%
. 90
 
4.0%
0 75
 
3.3%
Other values (34) 1060
47.2%

기업명
Text

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:23:37.104324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length6.6333333
Min length3

Characters and Unicode

Total characters199
Distinct characters76
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)53.3%

Sample

1st rowJ R&D
2nd row㈜티라이프
3rd row에스에이엠통운
4th row한솔이앤씨
5th row코웨이㈜
ValueCountFrequency (%)
칠드런스뮤지컬컴퍼니㈜ 6
19.4%
㈜오토미디어 2
 
6.5%
더존교육 2
 
6.5%
교보생명보험 2
 
6.5%
휴컴퍼니 2
 
6.5%
㈜티라이프 1
 
3.2%
r&d 1
 
3.2%
j 1
 
3.2%
피플라이프㈜ 1
 
3.2%
엠하우징 1
 
3.2%
Other values (12) 12
38.7%
2023-12-10T23:23:37.601331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 16
 
8.0%
니 10
 
5.0%
스 10
 
5.0%
퍼 8
 
4.0%
지 8
 
4.0%
컴 8
 
4.0%
이 7
 
3.5%
드 7
 
3.5%
칠 6
 
3.0%
컬 6
 
3.0%
Other values (66) 113
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
89.4%
Other Symbol 16
 
8.0%
Uppercase Letter 3
 
1.5%
Space Separator 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
니 10
 
5.6%
스 10
 
5.6%
퍼 8
 
4.5%
지 8
 
4.5%
컴 8
 
4.5%
이 7
 
3.9%
드 7
 
3.9%
칠 6
 
3.4%
컬 6
 
3.4%
뮤 6
 
3.4%
Other values (60) 102
57.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
J 1
33.3%
D 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194
97.5%
Latin 3
 
1.5%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 16
 
8.2%
니 10
 
5.2%
스 10
 
5.2%
퍼 8
 
4.1%
지 8
 
4.1%
컴 8
 
4.1%
이 7
 
3.6%
드 7
 
3.6%
칠 6
 
3.1%
컬 6
 
3.1%
Other values (61) 108
55.7%
Latin
ValueCountFrequency (%)
R 1
33.3%
J 1
33.3%
D 1
33.3%
Common
ValueCountFrequency (%)
1
50.0%
& 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
89.4%
None 16
 
8.0%
ASCII 5
 
2.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 16
100.0%
Hangul
ValueCountFrequency (%)
니 10
 
5.6%
스 10
 
5.6%
퍼 8
 
4.5%
지 8
 
4.5%
컴 8
 
4.5%
이 7
 
3.9%
드 7
 
3.9%
칠 6
 
3.4%
컬 6
 
3.4%
뮤 6
 
3.4%
Other values (60) 102
57.3%
ASCII
ValueCountFrequency (%)
1
20.0%
& 1
20.0%
R 1
20.0%
J 1
20.0%
D 1
20.0%

채용공고제목
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:23:37.981268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length29.466667
Min length13

Characters and Unicode

Total characters884
Distinct characters238
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

Unique26 ?
Unique (%)86.7%

Sample

1st row(월250이상/정규직) 사무보조/인사경리/SNS관리 각부서별 채용
2nd row온라인 쇼핑몰 마케팅 및 영업 MD 신입/경력 모집
3rd row[야간;주간근무]E마트상품 배송/납품기사 모집
4th row(주5일/중식제공) 업무지원; 인사관리; 홍보기획파트 직원모집
5th row(주)코웨이홈케어닥터 경기도(철원.연천.포천.동두천.양주.남양주.의정부.구리)전지역모집 합니다
ValueCountFrequency (%)
모집 9
 
5.9%
및 5
 
3.3%
모십니다 4
 
2.6%
신입 3
 
2.0%
채용 3
 
2.0%
초등부영어 2
 
1.3%
롯데렌터카 2
 
1.3%
영어유치부 2
 
1.3%
경력 2
 
1.3%
신입/경력 2
 
1.3%
Other values (110) 118
77.6%
2023-12-10T23:23:38.476622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
13.8%
모 18
 
2.0%
; 18
 
2.0%
사 17
 
1.9%
집 15
 
1.7%
) 14
 
1.6%
. 14
 
1.6%
( 14
 
1.6%
/ 12
 
1.4%
리 11
 
1.2%
Other values (228) 629
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 642
72.6%
Space Separator 122
 
13.8%
Other Punctuation 44
 
5.0%
Uppercase Letter 20
 
2.3%
Close Punctuation 18
 
2.0%
Open Punctuation 18
 
2.0%
Decimal Number 14
 
1.6%
Lowercase Letter 3
 
0.3%
Dash Punctuation 2
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 18
 
2.8%
사 17
 
2.6%
집 15
 
2.3%
리 11
 
1.7%
기 10
 
1.6%
어 10
 
1.6%
이 10
 
1.6%
업 10
 
1.6%
신 9
 
1.4%
마 9
 
1.4%
Other values (199) 523
81.5%
Uppercase Letter
ValueCountFrequency (%)
M 3
15.0%
D 3
15.0%
S 2
10.0%
A 2
10.0%
E 2
10.0%
B 1
 
5.0%
N 1
 
5.0%
L 1
 
5.0%
C 1
 
5.0%
R 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
0 5
35.7%
2 5
35.7%
5 3
21.4%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
; 18
40.9%
. 14
31.8%
/ 12
27.3%
Close Punctuation
ValueCountFrequency (%)
) 14
77.8%
] 4
 
22.2%
Open Punctuation
ValueCountFrequency (%)
( 14
77.8%
[ 4
 
22.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 643
72.7%
Common 218
 
24.7%
Latin 23
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 18
 
2.8%
사 17
 
2.6%
집 15
 
2.3%
리 11
 
1.7%
기 10
 
1.6%
어 10
 
1.6%
이 10
 
1.6%
업 10
 
1.6%
신 9
 
1.4%
마 9
 
1.4%
Other values (200) 524
81.5%
Latin
ValueCountFrequency (%)
M 3
13.0%
D 3
13.0%
S 2
 
8.7%
s 2
 
8.7%
A 2
 
8.7%
E 2
 
8.7%
B 1
 
4.3%
n 1
 
4.3%
N 1
 
4.3%
L 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
122
56.0%
; 18
 
8.3%
) 14
 
6.4%
. 14
 
6.4%
( 14
 
6.4%
/ 12
 
5.5%
0 5
 
2.3%
2 5
 
2.3%
[ 4
 
1.8%
] 4
 
1.8%
Other values (3) 6
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 642
72.6%
ASCII 241
 
27.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
50.6%
; 18
 
7.5%
) 14
 
5.8%
. 14
 
5.8%
( 14
 
5.8%
/ 12
 
5.0%
0 5
 
2.1%
2 5
 
2.1%
[ 4
 
1.7%
] 4
 
1.7%
Other values (18) 29
 
12.0%
Hangul
ValueCountFrequency (%)
모 18
 
2.8%
사 17
 
2.6%
집 15
 
2.3%
리 11
 
1.7%
기 10
 
1.6%
어 10
 
1.6%
이 10
 
1.6%
업 10
 
1.6%
신 9
 
1.4%
마 9
 
1.4%
Other values (199) 523
81.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종직종정보명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

경력조건정보명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
신입/경력
13 
관계없음
12 
경력
5 

Length

Max length5
Median length4
Mean length4.1
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신입/경력 13
43.3%
관계없음 12
40.0%
경력 5
 
16.7%

Length

2023-12-10T23:23:38.631981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:38.754274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신입/경력 13
43.3%
관계없음 12
40.0%
경력 5
 
16.7%

경력년수정보명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1년 이상
15 
<NA>
12 
3년 이상
 
1
5년 이상
 
1
2년 이상
 
1

Length

Max length5
Median length5
Mean length4.6
Min length4

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
1년 이상 15
50.0%
<NA> 12
40.0%
3년 이상 1
 
3.3%
5년 이상 1
 
3.3%
2년 이상 1
 
3.3%

Length

2023-12-10T23:23:38.881870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:38.997613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이상 18
37.5%
1년 15
31.2%
na 12
25.0%
3년 1
 
2.1%
5년 1
 
2.1%
2년 1
 
2.1%

경력년수
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
15 
0
12 
3
 
1
5
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 15
50.0%
0 12
40.0%
3 1
 
3.3%
5 1
 
3.3%
2 1
 
3.3%

Length

2023-12-10T23:23:39.111952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:39.214579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
50.0%
0 12
40.0%
3 1
 
3.3%
5 1
 
3.3%
2 1
 
3.3%

급여유형정보명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
회사 내규에 따름
18 
연봉
9 
월급
3 

Length

Max length9
Median length9
Mean length6.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
회사 내규에 따름 18
60.0%
연봉 9
30.0%
월급 3
 
10.0%

Length

2023-12-10T23:23:39.334881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:39.455743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회사 18
27.3%
내규에 18
27.3%
따름 18
27.3%
연봉 9
13.6%
월급 3
 
4.5%

급여수준정보명
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing19
Missing (%)63.3%
Memory size372.0 B
2023-12-10T23:23:39.587846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length13.727273
Min length6

Characters and Unicode

Total characters151
Distinct characters12
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 row240만원 ~ 500만원
2nd row450만원 ~ 500만원
3rd row210만원 ~ 350만원
4th row3000만원 ~ 5000만원
5th row2000만원 ~ 3000만원
ValueCountFrequency (%)
10
32.3%
5000만원 3
 
9.7%
500만원 2
 
6.5%
3000만원 2
 
6.5%
240만원 1
 
3.2%
6500만원 1
 
3.2%
2400만원 1
 
3.2%
10000만원 1
 
3.2%
6000만원 1
 
3.2%
9200만원 1
 
3.2%
Other values (8) 8
25.8%
2023-12-10T23:23:39.867477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 47
31.1%
만 21
13.9%
원 21
13.9%
20
13.2%
~ 10
 
6.6%
5 9
 
6.0%
2 8
 
5.3%
3 5
 
3.3%
4 4
 
2.6%
6 3
 
2.0%
Other values (2) 3
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79
52.3%
Other Letter 42
27.8%
Space Separator 20
 
13.2%
Math Symbol 10
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
59.5%
5 9
 
11.4%
2 8
 
10.1%
3 5
 
6.3%
4 4
 
5.1%
6 3
 
3.8%
1 2
 
2.5%
9 1
 
1.3%
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 109
72.2%
Hangul 42
 
27.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 47
43.1%
20
18.3%
~ 10
 
9.2%
5 9
 
8.3%
2 8
 
7.3%
3 5
 
4.6%
4 4
 
3.7%
6 3
 
2.8%
1 2
 
1.8%
9 1
 
0.9%
Hangul
ValueCountFrequency (%)
만 21
50.0%
원 21
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109
72.2%
Hangul 42
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 47
43.1%
20
18.3%
~ 10
 
9.2%
5 9
 
8.3%
2 8
 
7.3%
3 5
 
4.6%
4 4
 
3.7%
6 3
 
2.8%
1 2
 
1.8%
9 1
 
0.9%
Hangul
ValueCountFrequency (%)
만 21
50.0%
원 21
50.0%

급여수준명
Categorical

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0;0
19 
240;500
 
1
450;500
 
1
210;350
 
1
3000;5000
 
1
Other values (7)
7 

Length

Max length10
Median length3
Mean length4.9333333
Min length3

Unique

Unique11 ?
Unique (%)36.7%

Sample

1st row240;500
2nd row0;0
3rd row450;500
4th row210;350
5th row3000;5000

Common Values

ValueCountFrequency (%)
0;0 19
63.3%
240;500 1
 
3.3%
450;500 1
 
3.3%
210;350 1
 
3.3%
3000;5000 1
 
3.3%
2000;3000 1
 
3.3%
2200;0 1
 
3.3%
4500;6500 1
 
3.3%
3200;9200 1
 
3.3%
5000;6000 1
 
3.3%
Other values (2) 2
 
6.7%

Length

2023-12-10T23:23:40.008092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0;0 19
63.3%
240;500 1
 
3.3%
450;500 1
 
3.3%
210;350 1
 
3.3%
3000;5000 1
 
3.3%
2000;3000 1
 
3.3%
2200;0 1
 
3.3%
4500;6500 1
 
3.3%
3200;9200 1
 
3.3%
5000;6000 1
 
3.3%
Other values (2) 2
 
6.7%

연봉면접결정여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
23 
False
7 
ValueCountFrequency (%)
True 23
76.7%
False 7
 
23.3%
2023-12-10T23:23:40.108231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

학력제한정보명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
학력무관
12 
대졸(2~3년)
8 
고졸
5 
대졸(4년)
5 

Length

Max length8
Median length6
Mean length5.0666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학력무관 12
40.0%
대졸(2~3년) 8
26.7%
고졸 5
16.7%
대졸(4년) 5
16.7%

Length

2023-12-10T23:23:40.224190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:40.346473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학력무관 12
40.0%
대졸(2~3년 8
26.7%
고졸 5
16.7%
대졸(4년 5
16.7%

해당채용공고키워드명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:23:40.559283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length64
Mean length51.6
Min length17

Characters and Unicode

Total characters1548
Distinct characters244
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row부동산개발;부동산관리;토지개발;더존;문서관리;문서작성;사무보조;4대보험;경리;경영지원;급여관리;전표입력;광고기획;마케팅;마케팅기획;시장분석;판촉
2nd row상품기획;소셜커머스;쇼핑몰;오픈마켓;B2C;여성의류;패션;MD;마케팅;시장분석;온라인MD;패션MD;거래처관리;영업관리;웹사이트운영
3rd row물류;물류센터;배송;운송;육상운송;납품;물류관리;택배;중장비운전;지게차운전;포장이사;화물차운전;굴삭기;버스기사;수행기사;승용기사;운전기사;학원차량
4th row도시개발;부동산관리;부동산서비스;부동산운용;토지개발;문서수발;비품관리;총무;급여관리;인사;인사기획;인사통합;채용·면접;문서관리;문서작성;사무보조;전산입력;전산편집;4대보험;광고관리;홍보;홍보기획;PR;SNS운영
5th row렌탈;고객관리;단순홍보;회원관리
ValueCountFrequency (%)
공연기획;공연예술;극단;소극장;아카데미;공연·전시기획;무대제작;뮤지컬·연극·무용;연주·합주·합창·성악;영어;영어강사 2
 
6.7%
부동산개발;부동산관리;토지개발;더존;문서관리;문서작성;사무보조;4대보험;경리;경영지원;급여관리;전표입력;광고기획;마케팅;마케팅기획;시장분석;판촉 1
 
3.3%
전기;전자;품질;품질보증;iso;qa 1
 
3.3%
유치원교사;어학원;영어학원;유아교육;학원강사;놀이방교사;보육교사;어린이집교사;교육상담;프로그램상담;영어강사 1
 
3.3%
소프트웨어개발;si;sm;데이터베이스;db2;dba;oracle;sql 1
 
3.3%
보험영업;생명보험;손해보험;자동차보험;화재보험;개인고객영업;법인고객영업;보험설계;재무상담;법인영업 1
 
3.3%
공인중개사;부동산서비스;부동산중개;부동산컨설팅;분양;분양대행;분양상담사 1
 
3.3%
부동산개발;부동산중개;부동산컨설팅;상가;상담;문서관리;사무관리;문서작성;사무보조 1
 
3.3%
부동산개발;부동산중개;부동산컨설팅;상가;상담;아웃바운드tm;고객상담;인바운드tm 1
 
3.3%
마사지;뷰티매니저;체형관리;피부관리 1
 
3.3%
Other values (19) 19
63.3%
2023-12-10T23:23:40.955247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
; 281
 
18.2%
사 44
 
2.8%
영 36
 
2.3%
리 35
 
2.3%
관 31
 
2.0%
원 26
 
1.7%
보 26
 
1.7%
어 24
 
1.6%
교 24
 
1.6%
기 20
 
1.3%
Other values (234) 1001
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1173
75.8%
Other Punctuation 296
 
19.1%
Uppercase Letter 61
 
3.9%
Lowercase Letter 11
 
0.7%
Decimal Number 6
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 44
 
3.8%
영 36
 
3.1%
리 35
 
3.0%
관 31
 
2.6%
원 26
 
2.2%
보 26
 
2.2%
어 24
 
2.0%
교 24
 
2.0%
기 20
 
1.7%
인 19
 
1.6%
Other values (204) 888
75.7%
Uppercase Letter
ValueCountFrequency (%)
M 11
18.0%
S 9
14.8%
D 7
11.5%
B 6
9.8%
Q 5
8.2%
T 4
 
6.6%
A 4
 
6.6%
L 3
 
4.9%
I 2
 
3.3%
O 2
 
3.3%
Other values (6) 8
13.1%
Lowercase Letter
ValueCountFrequency (%)
a 3
27.3%
p 2
18.2%
e 1
 
9.1%
l 1
 
9.1%
c 1
 
9.1%
r 1
 
9.1%
y 1
 
9.1%
v 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
; 281
94.9%
· 14
 
4.7%
. 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
4 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1173
75.8%
Common 303
 
19.6%
Latin 72
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 44
 
3.8%
영 36
 
3.1%
리 35
 
3.0%
관 31
 
2.6%
원 26
 
2.2%
보 26
 
2.2%
어 24
 
2.0%
교 24
 
2.0%
기 20
 
1.7%
인 19
 
1.6%
Other values (204) 888
75.7%
Latin
ValueCountFrequency (%)
M 11
15.3%
S 9
12.5%
D 7
 
9.7%
B 6
 
8.3%
Q 5
 
6.9%
T 4
 
5.6%
A 4
 
5.6%
L 3
 
4.2%
a 3
 
4.2%
I 2
 
2.8%
Other values (14) 18
25.0%
Common
ValueCountFrequency (%)
; 281
92.7%
· 14
 
4.6%
2 4
 
1.3%
4 2
 
0.7%
- 1
 
0.3%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1173
75.8%
ASCII 361
 
23.3%
None 14
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
; 281
77.8%
M 11
 
3.0%
S 9
 
2.5%
D 7
 
1.9%
B 6
 
1.7%
Q 5
 
1.4%
2 4
 
1.1%
T 4
 
1.1%
A 4
 
1.1%
L 3
 
0.8%
Other values (19) 27
 
7.5%
Hangul
ValueCountFrequency (%)
사 44
 
3.8%
영 36
 
3.1%
리 35
 
3.0%
관 31
 
2.6%
원 26
 
2.2%
보 26
 
2.2%
어 24
 
2.0%
교 24
 
2.0%
기 20
 
1.7%
인 19
 
1.6%
Other values (204) 888
75.7%
None
ValueCountFrequency (%)
· 14
100.0%

상세내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

접수방법정보명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
잡코리아 온라인 접수
18 
잡코리아 온라인 접수; E-메일 입사지원
8 
잡코리아 온라인 접수; E-메일 입사지원; 방문접수
2 
잡코리아 온라인 접수; E-메일 입사지원; 우편접수; 방문접수
 
1
잡코리아 온라인 접수; E-메일 입사지원; 우편접수; 방문접수; FAX 접수
 
1

Length

Max length42
Median length11
Mean length16.866667
Min length11

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row잡코리아 온라인 접수
2nd row잡코리아 온라인 접수
3rd row잡코리아 온라인 접수
4th row잡코리아 온라인 접수
5th row잡코리아 온라인 접수

Common Values

ValueCountFrequency (%)
잡코리아 온라인 접수 18
60.0%
잡코리아 온라인 접수; E-메일 입사지원 8
26.7%
잡코리아 온라인 접수; E-메일 입사지원; 방문접수 2
 
6.7%
잡코리아 온라인 접수; E-메일 입사지원; 우편접수; 방문접수 1
 
3.3%
잡코리아 온라인 접수; E-메일 입사지원; 우편접수; 방문접수; FAX 접수 1
 
3.3%

Length

2023-12-10T23:23:41.383258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:41.497486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접수 31
25.4%
잡코리아 30
24.6%
온라인 30
24.6%
e-메일 12
 
9.8%
입사지원 12
 
9.8%
방문접수 4
 
3.3%
우편접수 2
 
1.6%
fax 1
 
0.8%

근무형태명
Categorical

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
정규직
17 
정규직; 계약직
3 
계약직
2 
계약직; 프리랜서; 위촉직/개인사업자
2 
정규직; 계약직; 프리랜서
2 
Other values (3)
4 

Length

Max length20
Median length3
Mean length6.4
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
정규직 17
56.7%
정규직; 계약직 3
 
10.0%
계약직 2
 
6.7%
계약직; 프리랜서; 위촉직/개인사업자 2
 
6.7%
정규직; 계약직; 프리랜서 2
 
6.7%
정규직; 계약직; 인턴직 2
 
6.7%
정규직; 계약직; 파견직 1
 
3.3%
프리랜서 1
 
3.3%

Length

2023-12-10T23:23:41.617819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:41.735057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정규직 25
53.2%
계약직 12
25.5%
프리랜서 5
 
10.6%
위촉직/개인사업자 2
 
4.3%
인턴직 2
 
4.3%
파견직 1
 
2.1%

모집인원명
Categorical

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
9 
○
6 
2
5 
○○
4 
10
3 
Other values (3)
3 

Length

Max length2
Median length1
Mean length1.3
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row○○
2nd row2
3rd row○○
4th row○○
5th row5

Common Values

ValueCountFrequency (%)
1 9
30.0%
○ 6
20.0%
2 5
16.7%
○○ 4
13.3%
10 3
 
10.0%
5 1
 
3.3%
12 1
 
3.3%
00 1
 
3.3%

Length

2023-12-10T23:23:41.887903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:42.007457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9
30.0%
○ 6
20.0%
2 5
16.7%
○○ 4
13.3%
10 3
 
10.0%
5 1
 
3.3%
12 1
 
3.3%
00 1
 
3.3%

채용직급직책명
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
11 
팀원
5 
사원급
5 
부장급; 임원~CEO; 팀장/매니저/실장
2 
주임~대리급; 팀원; 팀장/매니저/실장
2 
Other values (5)
5 

Length

Max length29
Median length22
Mean length8.9
Min length2

Unique

Unique5 ?
Unique (%)16.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 11
36.7%
팀원 5
16.7%
사원급 5
16.7%
부장급; 임원~CEO; 팀장/매니저/실장 2
 
6.7%
주임~대리급; 팀원; 팀장/매니저/실장 2
 
6.7%
주임~대리급; 과장~차장급; 팀원; 팀장/매니저/실장 1
 
3.3%
면접 후 결정 1
 
3.3%
과장~차장급; 면접 후 결정 1
 
3.3%
주임~대리급; 과장~차장급; 팀원 1
 
3.3%
사원급; 팀원; 팀장/매니저/실장 1
 
3.3%

Length

2023-12-10T23:23:42.133547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:42.261588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
22.0%
팀원 10
20.0%
사원급 6
12.0%
팀장/매니저/실장 6
12.0%
주임~대리급 4
 
8.0%
과장~차장급 3
 
6.0%
부장급 2
 
4.0%
임원~ceo 2
 
4.0%
면접 2
 
4.0%
후 2
 
4.0%

근무지역명
Text

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:23:42.469457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length57
Mean length17.6
Min length7

Characters and Unicode

Total characters528
Distinct characters63
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

Unique15 ?
Unique (%)50.0%

Sample

1st row성동구; 영등포구; 종로구; 노원구; 서울특별시 전지역; 남양주시
2nd row성남시 중원구
3rd row연수구; 부평구; 남구; 계양구; 서구; 은평구; 서대문구; 마포구; 고양시 일산서구; 고양시 일산동구
4th row중구; 서울특별시 전지역; 성남시 중원구; 성남시 분당구; 금천구; 송파구
5th row의정부시; 남양주시; 동두천시; 양주시; 연천군; 구리시
ValueCountFrequency (%)
전지역 15
 
13.4%
성남시 12
 
10.7%
분당구 6
 
5.4%
서울특별시 6
 
5.4%
중원구 5
 
4.5%
경기도 4
 
3.6%
오산시 4
 
3.6%
수원시 3
 
2.7%
영통구 3
 
2.7%
송파구 3
 
2.7%
Other values (40) 51
45.5%
2023-12-10T23:23:42.795858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
21.8%
시 52
 
9.8%
; 47
 
8.9%
구 42
 
8.0%
역 21
 
4.0%
남 18
 
3.4%
지 15
 
2.8%
전 15
 
2.8%
성 13
 
2.5%
서 11
 
2.1%
Other values (53) 179
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
69.3%
Space Separator 115
 
21.8%
Other Punctuation 47
 
8.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 52
 
14.2%
구 42
 
11.5%
역 21
 
5.7%
남 18
 
4.9%
지 15
 
4.1%
전 15
 
4.1%
성 13
 
3.6%
서 11
 
3.0%
광 10
 
2.7%
원 9
 
2.5%
Other values (51) 160
43.7%
Space Separator
ValueCountFrequency (%)
115
100.0%
Other Punctuation
ValueCountFrequency (%)
; 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
69.3%
Common 162
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 52
 
14.2%
구 42
 
11.5%
역 21
 
5.7%
남 18
 
4.9%
지 15
 
4.1%
전 15
 
4.1%
성 13
 
3.6%
서 11
 
3.0%
광 10
 
2.7%
원 9
 
2.5%
Other values (51) 160
43.7%
Common
ValueCountFrequency (%)
115
71.0%
; 47
29.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
69.3%
ASCII 162
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
71.0%
; 47
29.0%
Hangul
ValueCountFrequency (%)
시 52
 
14.2%
구 42
 
11.5%
역 21
 
5.7%
남 18
 
4.9%
지 15
 
4.1%
전 15
 
4.1%
성 13
 
3.6%
서 11
 
3.0%
광 10
 
2.7%
원 9
 
2.5%
Other values (51) 160
43.7%

서류접수마감일자
Date

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2020-01-15 00:00:00
Maximum2070-01-01 00:00:00
2023-12-10T23:23:42.914318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:43.029620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

잡코리아채용공고URL
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:23:43.307238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length72
Mean length72
Min length72

Characters and Unicode

Total characters2160
Distinct characters38
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttp://www.jobkorea.co.kr/Recruit/GI_Read/30309807?Oem_Code=C900&api=232
2nd rowhttp://www.jobkorea.co.kr/Recruit/GI_Read/30452855?Oem_Code=C900&api=232
3rd rowhttp://www.jobkorea.co.kr/Recruit/GI_Read/30510370?Oem_Code=C900&api=232
4th rowhttp://www.jobkorea.co.kr/Recruit/GI_Read/30529453?Oem_Code=C900&api=232
5th rowhttp://www.jobkorea.co.kr/Recruit/GI_Read/30533557?Oem_Code=C900&api=232
ValueCountFrequency (%)
http://www.jobkorea.co.kr/recruit/gi_read/30309807?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30452855?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30577822?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30577811?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30571998?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30570181?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30562690?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30562236?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30562222?oem_code=c900&api=232 1
 
3.3%
http://www.jobkorea.co.kr/recruit/gi_read/30560995?oem_code=c900&api=232 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:23:43.768020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 150
 
6.9%
/ 150
 
6.9%
o 120
 
5.6%
0 105
 
4.9%
a 90
 
4.2%
t 90
 
4.2%
r 90
 
4.2%
. 90
 
4.2%
w 90
 
4.2%
2 78
 
3.6%
Other values (28) 1107
51.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1080
50.0%
Decimal Number 420
 
19.4%
Other Punctuation 330
 
15.3%
Uppercase Letter 210
 
9.7%
Math Symbol 60
 
2.8%
Connector Punctuation 60
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 150
13.9%
o 120
11.1%
a 90
8.3%
t 90
8.3%
r 90
8.3%
w 90
8.3%
k 60
 
5.6%
c 60
 
5.6%
i 60
 
5.6%
p 60
 
5.6%
Other values (6) 210
19.4%
Decimal Number
ValueCountFrequency (%)
0 105
25.0%
2 78
18.6%
3 78
18.6%
5 45
10.7%
9 40
 
9.5%
7 18
 
4.3%
4 17
 
4.0%
6 16
 
3.8%
1 14
 
3.3%
8 9
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 150
45.5%
. 90
27.3%
? 30
 
9.1%
& 30
 
9.1%
: 30
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
R 60
28.6%
C 60
28.6%
O 30
14.3%
I 30
14.3%
G 30
14.3%
Math Symbol
ValueCountFrequency (%)
= 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1290
59.7%
Common 870
40.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 150
 
11.6%
o 120
 
9.3%
a 90
 
7.0%
t 90
 
7.0%
r 90
 
7.0%
w 90
 
7.0%
k 60
 
4.7%
c 60
 
4.7%
R 60
 
4.7%
i 60
 
4.7%
Other values (11) 420
32.6%
Common
ValueCountFrequency (%)
/ 150
17.2%
0 105
12.1%
. 90
10.3%
2 78
9.0%
3 78
9.0%
= 60
 
6.9%
_ 60
 
6.9%
5 45
 
5.2%
9 40
 
4.6%
? 30
 
3.4%
Other values (7) 134
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 150
 
6.9%
/ 150
 
6.9%
o 120
 
5.6%
0 105
 
4.9%
a 90
 
4.2%
t 90
 
4.2%
r 90
 
4.2%
. 90
 
4.2%
w 90
 
4.2%
2 78
 
3.6%
Other values (28) 1107
51.2%

잡코리아채용공고QR코드내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

채용공고등록일자
Date

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2019-11-20 00:00:00
Maximum2019-12-19 00:00:00
2023-12-10T23:23:43.936907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:44.066668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

채용공고최종수정일자
Date

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2020-01-14 00:00:00
Maximum2020-01-16 00:00:00
2023-12-10T23:23:44.153414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:44.248656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

조회수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:23:44.373151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:44.468954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

공유수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:23:44.579350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:23:44.679890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

사업자등록번호
Text

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:23:44.829082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique12 ?
Unique (%)40.0%

Sample

1st row312-**-*****
2nd row129-**-*****
3rd row415-**-*****
4th row259-**-*****
5th row307-**-*****
ValueCountFrequency (%)
135 3
 
10.0%
112 3
 
10.0%
509 2
 
6.7%
309 2
 
6.7%
709 2
 
6.7%
129 2
 
6.7%
102 2
 
6.7%
119 2
 
6.7%
259 1
 
3.3%
645 1
 
3.3%
Other values (10) 10
33.3%
2023-12-10T23:23:45.147053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 210
58.3%
- 60
 
16.7%
1 24
 
6.7%
0 13
 
3.6%
9 13
 
3.6%
2 11
 
3.1%
5 8
 
2.2%
3 7
 
1.9%
6 6
 
1.7%
7 3
 
0.8%
Other values (2) 5
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 210
58.3%
Decimal Number 90
25.0%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
26.7%
0 13
14.4%
9 13
14.4%
2 11
12.2%
5 8
 
8.9%
3 7
 
7.8%
6 6
 
6.7%
7 3
 
3.3%
4 3
 
3.3%
8 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 210
58.3%
- 60
 
16.7%
1 24
 
6.7%
0 13
 
3.6%
9 13
 
3.6%
2 11
 
3.1%
5 8
 
2.2%
3 7
 
1.9%
6 6
 
1.7%
7 3
 
0.8%
Other values (2) 5
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 210
58.3%
- 60
 
16.7%
1 24
 
6.7%
0 13
 
3.6%
9 13
 
3.6%
2 11
 
3.1%
5 8
 
2.2%
3 7
 
1.9%
6 6
 
1.7%
7 3
 
0.8%
Other values (2) 5
 
1.4%

등록저장일시
Date

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2019-11-21 02:00:00
Maximum2019-12-31 02:06:00
2023-12-10T23:23:45.262500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:45.361671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

수정저장일시
Date

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2020-01-16 02:00:00
Maximum2020-01-17 02:09:00
2023-12-10T23:23:45.455286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:45.548012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2023-12-10T23:23:45.641399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
19 
False
11 
ValueCountFrequency (%)
True 19
63.3%
False 11
36.7%
2023-12-10T23:23:45.717528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2019-11-21 00:00:00
Maximum2019-12-31 00:00:00
2023-12-10T23:23:45.809730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:23:45.924195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

Sample

채용공고고유번호기업정보URL기업명채용공고제목업종직종정보명경력조건정보명경력년수정보명경력년수급여유형정보명급여수준정보명급여수준명연봉면접결정여부학력제한정보명해당채용공고키워드명상세내용접수방법정보명근무형태명모집인원명채용직급직책명근무지역명서류접수마감일자잡코리아채용공고URL잡코리아채용공고QR코드내용채용공고등록일자채용공고최종수정일자조회수공유수사업자등록번호등록저장일시수정저장일시사용여부삭제여부데이터기준일자
034152316http://www.jobkorea.co.kr/Recruit/Co_Read/C/jjjjjj1658?Oem_Code=C900&api=232J R&D(월250이상/정규직) 사무보조/인사경리/SNS관리 각부서별 채용<NA>신입/경력1년 이상1월급240만원 ~ 500만원240;500Y학력무관부동산개발;부동산관리;토지개발;더존;문서관리;문서작성;사무보조;4대보험;경리;경영지원;급여관리;전표입력;광고기획;마케팅;마케팅기획;시장분석;판촉<NA>잡코리아 온라인 접수정규직○○<NA>성동구; 영등포구; 종로구; 노원구; 서울특별시 전지역; 남양주시2020-01-19http://www.jobkorea.co.kr/Recruit/GI_Read/30309807?Oem_Code=C900&api=232<NA>2019-11-202020-01-1600312-**-*****2019-11-21 02:002020-01-17 02:04YN2019-11-21
134282035http://www.jobkorea.co.kr/Recruit/Co_Read/C/soloist0?Oem_Code=C900&api=232㈜티라이프온라인 쇼핑몰 마케팅 및 영업 MD 신입/경력 모집<NA>신입/경력1년 이상1회사 내규에 따름<NA>0;0Y대졸(2~3년)상품기획;소셜커머스;쇼핑몰;오픈마켓;B2C;여성의류;패션;MD;마케팅;시장분석;온라인MD;패션MD;거래처관리;영업관리;웹사이트운영<NA>잡코리아 온라인 접수정규직2<NA>성남시 중원구2020-02-04http://www.jobkorea.co.kr/Recruit/GI_Read/30452855?Oem_Code=C900&api=232<NA>2019-12-062020-01-1600129-**-*****2019-12-28 02:062020-01-17 02:04YN2019-12-28
234333664http://www.jobkorea.co.kr/Recruit/Co_Read/C/ssgdriver?Oem_Code=C900&api=232에스에이엠통운[야간;주간근무]E마트상품 배송/납품기사 모집<NA>관계없음<NA>0월급450만원 ~ 500만원450;500N학력무관물류;물류센터;배송;운송;육상운송;납품;물류관리;택배;중장비운전;지게차운전;포장이사;화물차운전;굴삭기;버스기사;수행기사;승용기사;운전기사;학원차량<NA>잡코리아 온라인 접수정규직; 계약직; 파견직○○팀원연수구; 부평구; 남구; 계양구; 서구; 은평구; 서대문구; 마포구; 고양시 일산서구; 고양시 일산동구2020-01-23http://www.jobkorea.co.kr/Recruit/GI_Read/30510370?Oem_Code=C900&api=232<NA>2019-12-122020-01-1400415-**-*****2019-12-14 02:012020-01-16 02:00YY2019-12-14
334350961http://www.jobkorea.co.kr/Recruit/Co_Read/C/gksthfdl1099?Oem_Code=C900&api=232한솔이앤씨(주5일/중식제공) 업무지원; 인사관리; 홍보기획파트 직원모집<NA>신입/경력1년 이상1월급210만원 ~ 350만원210;350Y고졸도시개발;부동산관리;부동산서비스;부동산운용;토지개발;문서수발;비품관리;총무;급여관리;인사;인사기획;인사통합;채용·면접;문서관리;문서작성;사무보조;전산입력;전산편집;4대보험;광고관리;홍보;홍보기획;PR;SNS운영<NA>잡코리아 온라인 접수정규직○○<NA>중구; 서울특별시 전지역; 성남시 중원구; 성남시 분당구; 금천구; 송파구2020-01-20http://www.jobkorea.co.kr/Recruit/GI_Read/30529453?Oem_Code=C900&api=232<NA>2019-12-142020-01-1600259-**-*****2019-12-20 02:042020-01-17 02:04YN2019-12-20
434354302http://www.jobkorea.co.kr/Recruit/Co_Read/C/cdf1801?Oem_Code=C900&api=232코웨이㈜(주)코웨이홈케어닥터 경기도(철원.연천.포천.동두천.양주.남양주.의정부.구리)전지역모집 합니다<NA>관계없음<NA>0연봉3000만원 ~ 5000만원3000;5000N고졸렌탈;고객관리;단순홍보;회원관리<NA>잡코리아 온라인 접수계약직5팀원의정부시; 남양주시; 동두천시; 양주시; 연천군; 구리시2020-01-24http://www.jobkorea.co.kr/Recruit/GI_Read/30533557?Oem_Code=C900&api=232<NA>2019-12-162020-01-1400307-**-*****2019-12-31 02:062020-01-16 02:00YY2019-12-31
534355026http://www.jobkorea.co.kr/Recruit/Co_Read/C/zzogzzog?Oem_Code=C900&api=232㈜오늘㈜오늘에서 아동미술 프로그램연구진 모집<NA>관계없음<NA>0회사 내규에 따름<NA>0;0Y학력무관쇼핑몰;B2B;B2C;교육기획;교육진행;교재컨텐츠개발;교육프로그램<NA>잡코리아 온라인 접수정규직1<NA>의정부시2020-01-15http://www.jobkorea.co.kr/Recruit/GI_Read/30534315?Oem_Code=C900&api=232<NA>2019-12-162020-01-1400106-**-*****2019-12-17 02:072020-01-16 02:00YY2019-12-17
634355838http://www.jobkorea.co.kr/Recruit/Co_Read/C/leetoys?Oem_Code=C900&api=232㈜대호종합상사웹기획;웹마케팅;웹PM;온라인MD<NA>관계없음<NA>0연봉2000만원 ~ 3000만원2000;3000Y고졸MD;온라인MD;온라인마케팅;웹마케팅;쇼핑몰;웹사이트운영<NA>잡코리아 온라인 접수정규직; 계약직2주임~대리급; 과장~차장급; 팀원; 팀장/매니저/실장광주시; 아산시2020-01-15http://www.jobkorea.co.kr/Recruit/GI_Read/30535196?Oem_Code=C900&api=232<NA>2019-12-162020-01-1400119-**-*****2019-12-17 02:072020-01-16 02:00YY2019-12-17
734360360http://www.jobkorea.co.kr/Recruit/Co_Read/C/smtlaw2018?Oem_Code=C900&api=232㈜스마트로(주)스마트로와 함께하실 능력있는 개발자를 모십니다.<NA>신입/경력3년 이상3연봉<NA>0;0Y학력무관인터넷법률;컨텐츠;포털;.NET;웹프로그래머;Java;MS-SQL;MySQL<NA>잡코리아 온라인 접수; E-메일 입사지원정규직○면접 후 결정성남시 분당구2020-01-15http://www.jobkorea.co.kr/Recruit/GI_Read/30540136?Oem_Code=C900&api=232<NA>2019-12-162020-01-1400645-**-*****2019-12-31 02:022020-01-16 02:00YY2019-12-31
834361520http://www.jobkorea.co.kr/Recruit/Co_Read/C/ianschool?Oem_Code=C900&api=232칠드런스뮤지컬컴퍼니㈜영어유치부 행정교사 모집<NA>관계없음<NA>0회사 내규에 따름<NA>0;0N대졸(2~3년)어학원;유아교육;유치원;학원강사;결산;경리;경영지원;세무;출납<NA>잡코리아 온라인 접수정규직1사원급오산시2020-01-15http://www.jobkorea.co.kr/Recruit/GI_Read/30541357?Oem_Code=C900&api=232<NA>2019-12-162020-01-1400112-**-*****2019-12-17 02:022020-01-16 02:00YY2019-12-17
934362155http://www.jobkorea.co.kr/Recruit/Co_Read/C/gmgdch2019?Oem_Code=C900&api=232광명기대찬병원기대찬병원 홍보팀(디자이너) 신입/경력 채용합니다.<NA>신입/경력1년 이상1연봉2200만원2200;0Y학력무관디자인;시각디자인;일러스트레이터;포토샵;광고디자인;디자인기타<NA>잡코리아 온라인 접수정규직○팀원광명시; 서초구2020-01-15http://www.jobkorea.co.kr/Recruit/GI_Read/30542047?Oem_Code=C900&api=232<NA>2019-12-162020-01-1400266-**-*****2019-12-24 02:042020-01-16 02:00YY2019-12-24
채용공고고유번호기업정보URL기업명채용공고제목업종직종정보명경력조건정보명경력년수정보명경력년수급여유형정보명급여수준정보명급여수준명연봉면접결정여부학력제한정보명해당채용공고키워드명상세내용접수방법정보명근무형태명모집인원명채용직급직책명근무지역명서류접수마감일자잡코리아채용공고URL잡코리아채용공고QR코드내용채용공고등록일자채용공고최종수정일자조회수공유수사업자등록번호등록저장일시수정저장일시사용여부삭제여부데이터기준일자
2034379162http://www.jobkorea.co.kr/Recruit/Co_Read/C/adonislotte?Oem_Code=C900&api=232㈜오토미디어롯데렌터카 홈쇼핑 바이럴 마케팅 블러그/카페마케팅/sns마케팅/페이스북;인스타 모집<NA>경력1년 이상1회사 내규에 따름<NA>0;0Y학력무관대여;렌탈;렌터카;오토리스;광고기획;마케팅;마케팅기획;바이럴마케팅;소셜미디어<NA>잡코리아 온라인 접수정규직1사원급; 팀원; 팀장/매니저/실장성남시 분당구; 송파구2020-01-17http://www.jobkorea.co.kr/Recruit/GI_Read/30560707?Oem_Code=C900&api=232<NA>2019-12-182020-01-1600309-**-*****2019-12-19 02:052020-01-17 02:05YN2019-12-19
2134379423http://www.jobkorea.co.kr/Recruit/Co_Read/C/hyunjinm1004?Oem_Code=C900&api=232스킨테라피분위기좋은 피부관리실 경기오포점 배우면서 일할 초보;경력쌤 구인합니다<NA>신입/경력1년 이상1회사 내규에 따름<NA>0;0Y학력무관마사지;뷰티매니저;체형관리;피부관리<NA>잡코리아 온라인 접수정규직1<NA>광주시2020-01-17http://www.jobkorea.co.kr/Recruit/GI_Read/30560995?Oem_Code=C900&api=232<NA>2019-12-182020-01-1500104-**-*****2019-12-19 02:012020-01-17 02:09YN2019-12-19
2234380544http://www.jobkorea.co.kr/Recruit/Co_Read/C/topaz0779801?Oem_Code=C900&api=232휴컴퍼니롯데건설 남여신입상담사 특별채용 (월500만원)이상<NA>관계없음<NA>0연봉5000만원 ~ 10000만원5000;10000Y학력무관부동산개발;부동산중개;부동산컨설팅;상가;상담;아웃바운드TM;고객상담;인바운드TM<NA>잡코리아 온라인 접수; E-메일 입사지원정규직; 계약직; 인턴직○주임~대리급; 팀원; 팀장/매니저/실장하남시2020-01-17http://www.jobkorea.co.kr/Recruit/GI_Read/30562222?Oem_Code=C900&api=232<NA>2019-12-182020-01-1600509-**-*****2019-12-19 02:042020-01-17 02:03YN2019-12-19
2334380556http://www.jobkorea.co.kr/Recruit/Co_Read/C/topaz0779801?Oem_Code=C900&api=232휴컴퍼니롯데건설 분양사업 사무관리부 신입 남여 채용<NA>관계없음<NA>0연봉2400만원 ~ 3600만원2400;3600Y학력무관부동산개발;부동산중개;부동산컨설팅;상가;상담;문서관리;사무관리;문서작성;사무보조<NA>잡코리아 온라인 접수; E-메일 입사지원정규직; 계약직; 인턴직○주임~대리급; 팀원; 팀장/매니저/실장하남시2020-01-17http://www.jobkorea.co.kr/Recruit/GI_Read/30562236?Oem_Code=C900&api=232<NA>2019-12-182020-01-1600509-**-*****2019-12-19 02:042020-01-17 02:03YN2019-12-19
2434380911http://www.jobkorea.co.kr/Recruit/Co_Read/C/ehgus6511?Oem_Code=C900&api=232엠하우징[안양;군포;의왕] 신축빌라분양및컨설팅2명모집<NA>관계없음<NA>0회사 내규에 따름<NA>0;0Y학력무관공인중개사;부동산서비스;부동산중개;부동산컨설팅;분양;분양대행;분양상담사<NA>잡코리아 온라인 접수; E-메일 입사지원; 우편접수; 방문접수; FAX 접수프리랜서2사원급군포시; 안양시 만안구; 안양시 동안구; 의왕시2020-01-17http://www.jobkorea.co.kr/Recruit/GI_Read/30562690?Oem_Code=C900&api=232<NA>2019-12-182020-01-1600698-**-*****2019-12-24 02:062020-01-17 02:03YN2019-12-24
2534387678http://www.jobkorea.co.kr/Recruit/Co_Read/C/people8?Oem_Code=C900&api=232피플라이프㈜피플라이프 경력 및 신입 설계사 모집(정착금 지급; 전국 문의)<NA>관계없음<NA>0회사 내규에 따름<NA>0;0N고졸보험영업;생명보험;손해보험;자동차보험;화재보험;개인고객영업;법인고객영업;보험설계;재무상담;법인영업<NA>잡코리아 온라인 접수; E-메일 입사지원계약직10<NA>서울특별시 전지역; 경기도 전지역; 부산광역시 전지역; 인천광역시 전지역; 대구광역시 전지역; 광주광역시2020-01-28http://www.jobkorea.co.kr/Recruit/GI_Read/30570181?Oem_Code=C900&api=232<NA>2019-12-192020-01-1600108-**-*****2019-12-20 02:062020-01-17 02:02YN2019-12-20
2634389334http://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;0N학력무관소프트웨어개발;SI;SM;데이터베이스;DB2;DBA;Oracle;SQL<NA>잡코리아 온라인 접수정규직; 계약직; 프리랜서2<NA>성남시 분당구2020-01-17http://www.jobkorea.co.kr/Recruit/GI_Read/30571998?Oem_Code=C900&api=232<NA>2019-12-192020-01-1500211-**-*****2019-12-20 02:042020-01-17 02:00YY2019-12-20
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