Overview

Dataset statistics

Number of variables17
Number of observations3998
Missing cells220
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory538.9 KiB
Average record size in memory138.0 B

Variable types

Text6
Categorical8
Numeric1
DateTime2

Dataset

Description경기도일자리재단 잡아바 채용정보
Author경기도일자리재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=BF99Q5LCFU0G5XMU9B8L31468278&infSeq=1

Alerts

근무지역 has a high cardinality: 51 distinct valuesHigh cardinality
학력코드 is highly overall correlated with 학력High correlation
학력 is highly overall correlated with 학력코드High correlation
경력코드 is highly overall correlated with 경력High correlation
경력 is highly overall correlated with 경력코드High correlation
모집분야코드 is highly overall correlated with 모집분야High correlation
모집분야 is highly overall correlated with 모집분야코드High correlation
공고형태코드 is highly imbalanced (72.7%)Imbalance
학력코드 is highly imbalanced (71.1%)Imbalance
학력 is highly imbalanced (71.1%)Imbalance
채용인원 is highly imbalanced (54.5%)Imbalance
급여조건 has 115 (2.9%) missing valuesMissing
근무지역코드 has 99 (2.5%) missing valuesMissing
URL has unique valuesUnique

Reproduction

Analysis started2024-05-10 20:44:05.810196
Analysis finished2024-05-10 20:44:13.375211
Duration7.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업명
Text

Distinct2300
Distinct (%)57.6%
Missing6
Missing (%)0.2%
Memory size31.4 KiB
2024-05-10T20:44:13.759605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.8812625
Min length2

Characters and Unicode

Total characters31462
Distinct characters551
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1457 ?
Unique (%)36.5%

Sample

1st row하이리치자산관리(주)
2nd row하나엠앤에스(주)
3rd row태평철강(주)
4th row(주)한국나노정밀
5th row(주)한국나노정밀
ValueCountFrequency (%)
씨제이프레시웨이(주 32
 
0.8%
주식회사 22
 
0.5%
주)구름 15
 
0.4%
주)이도 13
 
0.3%
쿠팡풀필먼트서비스(유 13
 
0.3%
주)유니에스 12
 
0.3%
주)대형 11
 
0.3%
주)홈스웰 10
 
0.2%
주)두잉씨앤에스 10
 
0.2%
주)케이티팝스 10
 
0.2%
Other values (2296) 3875
96.3%
2024-05-10T20:44:14.743923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 3848
 
12.2%
) 3848
 
12.2%
주 3837
 
12.2%
이 1025
 
3.3%
스 953
 
3.0%
에 625
 
2.0%
업 375
 
1.2%
아 349
 
1.1%
리 313
 
1.0%
지 292
 
0.9%
Other values (541) 15997
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23689
75.3%
Open Punctuation 3848
 
12.2%
Close Punctuation 3848
 
12.2%
Space Separator 34
 
0.1%
Uppercase Letter 20
 
0.1%
Other Punctuation 11
 
< 0.1%
Decimal Number 8
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3837
 
16.2%
이 1025
 
4.3%
스 953
 
4.0%
에 625
 
2.6%
업 375
 
1.6%
아 349
 
1.5%
리 313
 
1.3%
지 292
 
1.2%
씨 279
 
1.2%
산 257
 
1.1%
Other values (524) 15384
64.9%
Uppercase Letter
ValueCountFrequency (%)
T 7
35.0%
A 5
25.0%
S 2
 
10.0%
K 2
 
10.0%
M 1
 
5.0%
Y 1
 
5.0%
R 1
 
5.0%
H 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
0 2
25.0%
2 2
25.0%
3 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 3848
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3848
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23684
75.3%
Common 7749
 
24.6%
Latin 20
 
0.1%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3837
 
16.2%
이 1025
 
4.3%
스 953
 
4.0%
에 625
 
2.6%
업 375
 
1.6%
아 349
 
1.5%
리 313
 
1.3%
지 292
 
1.2%
씨 279
 
1.2%
산 257
 
1.1%
Other values (516) 15379
64.9%
Han
ValueCountFrequency (%)
社 1
11.1%
株 1
11.1%
式 1
11.1%
會 1
11.1%
險 1
11.1%
融 1
11.1%
保 1
11.1%
韓 1
11.1%
大 1
11.1%
Common
ValueCountFrequency (%)
( 3848
49.7%
) 3848
49.7%
34
 
0.4%
. 11
 
0.1%
1 3
 
< 0.1%
0 2
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
Latin
ValueCountFrequency (%)
T 7
35.0%
A 5
25.0%
S 2
 
10.0%
K 2
 
10.0%
M 1
 
5.0%
Y 1
 
5.0%
R 1
 
5.0%
H 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23680
75.3%
ASCII 7769
 
24.7%
CJK 9
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 3848
49.5%
) 3848
49.5%
34
 
0.4%
. 11
 
0.1%
T 7
 
0.1%
A 5
 
0.1%
1 3
 
< 0.1%
S 2
 
< 0.1%
K 2
 
< 0.1%
0 2
 
< 0.1%
Other values (6) 7
 
0.1%
Hangul
ValueCountFrequency (%)
주 3837
 
16.2%
이 1025
 
4.3%
스 953
 
4.0%
에 625
 
2.6%
업 375
 
1.6%
아 349
 
1.5%
리 313
 
1.3%
지 292
 
1.2%
씨 279
 
1.2%
산 257
 
1.1%
Other values (515) 15375
64.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%
CJK
ValueCountFrequency (%)
社 1
11.1%
株 1
11.1%
式 1
11.1%
會 1
11.1%
險 1
11.1%
融 1
11.1%
保 1
11.1%
韓 1
11.1%
大 1
11.1%

공고명
Text

Distinct3851
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
2024-05-10T20:44:15.347423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length21.915708
Min length2

Characters and Unicode

Total characters87619
Distinct characters741
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

Unique3791 ?
Unique (%)94.8%

Sample

1st row[상현벽산블루밍]미화원 모집
2nd row건설현장 안전지도원 모집 (인천)
3rd row시화 철강 파이프 상하차(호이스트 이용) 직원 모...
4th row제관. 생산관리 (cad도면 /소재발주/출도/견적...
5th row용접사 경력자 채용공고
ValueCountFrequency (%)
모집 1101
 
6.3%
466
 
2.6%
채용 456
 
2.6%
및 451
 
2.6%
생산직 290
 
1.6%
직원 282
 
1.6%
사원 242
 
1.4%
모집합니다 206
 
1.2%
2024년 197
 
1.1%
구인 183
 
1.0%
Other values (6042) 13721
78.0%
2024-05-10T20:44:16.655991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13997
 
16.0%
. 3839
 
4.4%
원 2318
 
2.6%
모 1960
 
2.2%
집 1818
 
2.1%
( 1814
 
2.1%
직 1620
 
1.8%
사 1588
 
1.8%
) 1557
 
1.8%
리 1484
 
1.7%
Other values (731) 55624
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59428
67.8%
Space Separator 13997
 
16.0%
Other Punctuation 5274
 
6.0%
Open Punctuation 2520
 
2.9%
Close Punctuation 2216
 
2.5%
Decimal Number 1895
 
2.2%
Uppercase Letter 1510
 
1.7%
Lowercase Letter 335
 
0.4%
Dash Punctuation 226
 
0.3%
Connector Punctuation 151
 
0.2%
Other values (2) 67
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2318
 
3.9%
모 1960
 
3.3%
집 1818
 
3.1%
직 1620
 
2.7%
사 1588
 
2.7%
리 1484
 
2.5%
업 1241
 
2.1%
자 1153
 
1.9%
용 1128
 
1.9%
기 1019
 
1.7%
Other values (653) 44099
74.2%
Uppercase Letter
ValueCountFrequency (%)
C 321
21.3%
S 132
 
8.7%
A 125
 
8.3%
T 100
 
6.6%
P 99
 
6.6%
D 96
 
6.4%
M 95
 
6.3%
N 61
 
4.0%
I 51
 
3.4%
L 49
 
3.2%
Other values (15) 381
25.2%
Lowercase Letter
ValueCountFrequency (%)
e 44
13.1%
t 41
12.2%
o 38
11.3%
r 28
8.4%
c 27
8.1%
a 24
 
7.2%
s 21
 
6.3%
p 15
 
4.5%
i 15
 
4.5%
n 15
 
4.5%
Other values (14) 67
20.0%
Decimal Number
ValueCountFrequency (%)
2 735
38.8%
0 388
20.5%
4 375
19.8%
5 134
 
7.1%
1 95
 
5.0%
3 85
 
4.5%
6 44
 
2.3%
8 19
 
1.0%
9 14
 
0.7%
7 6
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 3839
72.8%
/ 798
 
15.1%
, 561
 
10.6%
& 51
 
1.0%
' 13
 
0.2%
: 7
 
0.1%
# 3
 
0.1%
@ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 26
61.9%
> 8
 
19.0%
< 8
 
19.0%
Open Punctuation
ValueCountFrequency (%)
( 1814
72.0%
[ 706
 
28.0%
Close Punctuation
ValueCountFrequency (%)
) 1557
70.3%
] 659
29.7%
Space Separator
ValueCountFrequency (%)
13997
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 151
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59449
67.8%
Common 26321
30.0%
Latin 1845
 
2.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2318
 
3.9%
모 1960
 
3.3%
집 1818
 
3.1%
직 1620
 
2.7%
사 1588
 
2.7%
리 1484
 
2.5%
업 1241
 
2.1%
자 1153
 
1.9%
용 1128
 
1.9%
기 1019
 
1.7%
Other values (651) 44120
74.2%
Latin
ValueCountFrequency (%)
C 321
17.4%
S 132
 
7.2%
A 125
 
6.8%
T 100
 
5.4%
P 99
 
5.4%
D 96
 
5.2%
M 95
 
5.1%
N 61
 
3.3%
I 51
 
2.8%
L 49
 
2.7%
Other values (39) 716
38.8%
Common
ValueCountFrequency (%)
13997
53.2%
. 3839
 
14.6%
( 1814
 
6.9%
) 1557
 
5.9%
/ 798
 
3.0%
2 735
 
2.8%
[ 706
 
2.7%
] 659
 
2.5%
, 561
 
2.1%
0 388
 
1.5%
Other values (18) 1267
 
4.8%
Han
ValueCountFrequency (%)
內 2
50.0%
多 1
25.0%
名 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59424
67.8%
ASCII 28166
32.1%
None 25
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13997
49.7%
. 3839
 
13.6%
( 1814
 
6.4%
) 1557
 
5.5%
/ 798
 
2.8%
2 735
 
2.6%
[ 706
 
2.5%
] 659
 
2.3%
, 561
 
2.0%
0 388
 
1.4%
Other values (67) 3112
 
11.0%
Hangul
ValueCountFrequency (%)
원 2318
 
3.9%
모 1960
 
3.3%
집 1818
 
3.1%
직 1620
 
2.7%
사 1588
 
2.7%
리 1484
 
2.5%
업 1241
 
2.1%
자 1153
 
1.9%
용 1128
 
1.9%
기 1019
 
1.7%
Other values (650) 44095
74.2%
None
ValueCountFrequency (%)
㈜ 25
100.0%
CJK
ValueCountFrequency (%)
內 2
50.0%
多 1
25.0%
名 1
25.0%

급여조건
Text

MISSING 

Distinct910
Distinct (%)23.4%
Missing115
Missing (%)2.9%
Memory size31.4 KiB
2024-05-10T20:44:17.238082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length12.860417
Min length7

Characters and Unicode

Total characters49937
Distinct characters27
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

Unique511 ?
Unique (%)13.2%

Sample

1st row월급 141만원 ~ 141만원
2nd row월급 290만원 ~ 325만원
3rd row월급 300만원
4th row연봉 4800만원
5th row시급 14000원
ValueCountFrequency (%)
1983
16.9%
연봉 1858
15.8%
월급 1522
 
13.0%
3000만원 515
 
4.4%
시급 382
 
3.3%
4000만원 287
 
2.4%
9860원 285
 
2.4%
250만원 268
 
2.3%
3500만원 241
 
2.1%
300만원 217
 
1.8%
Other values (395) 4174
35.6%
2024-05-10T20:44:18.338160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9824
19.7%
7849
15.7%
원 5760
11.5%
만 5222
10.5%
3 2614
 
5.2%
2 2570
 
5.1%
~ 1983
 
4.0%
급 1919
 
3.8%
봉 1858
 
3.7%
연 1858
 
3.7%
Other values (17) 8480
17.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21142
42.3%
Other Letter 18963
38.0%
Space Separator 7849
 
15.7%
Math Symbol 1983
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 5760
30.4%
만 5222
27.5%
급 1919
 
10.1%
봉 1858
 
9.8%
연 1858
 
9.8%
월 1522
 
8.0%
시 382
 
2.0%
따 61
 
0.3%
름 61
 
0.3%
내 61
 
0.3%
Other values (5) 259
 
1.4%
Decimal Number
ValueCountFrequency (%)
0 9824
46.5%
3 2614
 
12.4%
2 2570
 
12.2%
5 1377
 
6.5%
4 1089
 
5.2%
6 1046
 
4.9%
8 818
 
3.9%
1 777
 
3.7%
9 545
 
2.6%
7 482
 
2.3%
Space Separator
ValueCountFrequency (%)
7849
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30974
62.0%
Hangul 18963
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 5760
30.4%
만 5222
27.5%
급 1919
 
10.1%
봉 1858
 
9.8%
연 1858
 
9.8%
월 1522
 
8.0%
시 382
 
2.0%
따 61
 
0.3%
름 61
 
0.3%
내 61
 
0.3%
Other values (5) 259
 
1.4%
Common
ValueCountFrequency (%)
0 9824
31.7%
7849
25.3%
3 2614
 
8.4%
2 2570
 
8.3%
~ 1983
 
6.4%
5 1377
 
4.4%
4 1089
 
3.5%
6 1046
 
3.4%
8 818
 
2.6%
1 777
 
2.5%
Other values (2) 1027
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30974
62.0%
Hangul 18963
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9824
31.7%
7849
25.3%
3 2614
 
8.4%
2 2570
 
8.3%
~ 1983
 
6.4%
5 1377
 
4.4%
4 1089
 
3.5%
6 1046
 
3.4%
8 818
 
2.6%
1 777
 
2.5%
Other values (2) 1027
 
3.3%
Hangul
ValueCountFrequency (%)
원 5760
30.4%
만 5222
27.5%
급 1919
 
10.1%
봉 1858
 
9.8%
연 1858
 
9.8%
월 1522
 
8.0%
시 382
 
2.0%
따 61
 
0.3%
름 61
 
0.3%
내 61
 
0.3%
Other values (5) 259
 
1.4%

공고형태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
01
3266 
02
724 
01,02
 
4
01,04
 
2
03
 
1

Length

Max length5
Median length2
Mean length2.0045023
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row02
2nd row02
3rd row01
4th row01
5th row01

Common Values

ValueCountFrequency (%)
01 3266
81.7%
02 724
 
18.1%
01,02 4
 
0.1%
01,04 2
 
0.1%
03 1
 
< 0.1%
04 1
 
< 0.1%

Length

2024-05-10T20:44:18.668620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:44:18.980160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01 3266
81.7%
02 724
 
18.1%
01,02 4
 
0.1%
01,04 2
 
0.1%
03 1
 
< 0.1%
04 1
 
< 0.1%

공고형태
Text

Distinct68
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
2024-05-10T20:44:19.278809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length37
Mean length37.776638
Min length3

Characters and Unicode

Total characters151031
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.7%

Sample

1st row기간의 정함이 있는 근로계약12 개월/ 파견근로 비희망/ 대체인력채용 비희망
2nd row기간의 정함이 있는 근로계약12 개월/ 파견근로 비희망/ 대체인력채용 비희망
3rd row기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망
4th row기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망
5th row기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망
ValueCountFrequency (%)
비희망 7441
22.9%
기간의 3739
11.5%
정함이 3739
11.5%
파견근로 3739
11.5%
대체인력채용 3739
11.5%
없는 3039
9.3%
근로계약 2980
9.2%
있는 700
 
2.2%
개월 700
 
2.2%
상용직전환검토 413
 
1.3%
Other values (39) 2300
 
7.1%
2024-05-10T20:44:19.950889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28531
18.9%
/ 7891
 
5.2%
희 7478
 
5.0%
망 7478
 
5.0%
근 7478
 
5.0%
로 7478
 
5.0%
비 7441
 
4.9%
간 4251
 
2.8%
계 4180
 
2.8%
약 4180
 
2.8%
Other values (54) 64645
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113132
74.9%
Space Separator 28531
 
18.9%
Other Punctuation 7897
 
5.2%
Decimal Number 1075
 
0.7%
Open Punctuation 198
 
0.1%
Close Punctuation 198
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
희 7478
 
6.6%
망 7478
 
6.6%
근 7478
 
6.6%
로 7478
 
6.6%
비 7441
 
6.6%
간 4251
 
3.8%
계 4180
 
3.7%
약 4180
 
3.7%
용 4152
 
3.7%
기 4152
 
3.7%
Other values (39) 54864
48.5%
Decimal Number
ValueCountFrequency (%)
2 349
32.5%
1 348
32.4%
3 240
22.3%
6 54
 
5.0%
4 37
 
3.4%
0 13
 
1.2%
8 13
 
1.2%
7 8
 
0.7%
5 7
 
0.7%
9 6
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 7891
99.9%
, 6
 
0.1%
Space Separator
ValueCountFrequency (%)
28531
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113132
74.9%
Common 37899
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
희 7478
 
6.6%
망 7478
 
6.6%
근 7478
 
6.6%
로 7478
 
6.6%
비 7441
 
6.6%
간 4251
 
3.8%
계 4180
 
3.7%
약 4180
 
3.7%
용 4152
 
3.7%
기 4152
 
3.7%
Other values (39) 54864
48.5%
Common
ValueCountFrequency (%)
28531
75.3%
/ 7891
 
20.8%
2 349
 
0.9%
1 348
 
0.9%
3 240
 
0.6%
( 198
 
0.5%
) 198
 
0.5%
6 54
 
0.1%
4 37
 
0.1%
0 13
 
< 0.1%
Other values (5) 40
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113132
74.9%
ASCII 37899
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28531
75.3%
/ 7891
 
20.8%
2 349
 
0.9%
1 348
 
0.9%
3 240
 
0.6%
( 198
 
0.5%
) 198
 
0.5%
6 54
 
0.1%
4 37
 
0.1%
0 13
 
< 0.1%
Other values (5) 40
 
0.1%
Hangul
ValueCountFrequency (%)
희 7478
 
6.6%
망 7478
 
6.6%
근 7478
 
6.6%
로 7478
 
6.6%
비 7441
 
6.6%
간 4251
 
3.8%
계 4180
 
3.7%
약 4180
 
3.7%
용 4152
 
3.7%
기 4152
 
3.7%
Other values (39) 54864
48.5%

근무지역코드
Text

MISSING 

Distinct53
Distinct (%)1.4%
Missing99
Missing (%)2.5%
Memory size31.4 KiB
2024-05-10T20:44:20.299607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length159
Median length4
Mean length4.5501411
Min length4

Characters and Unicode

Total characters17741
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

Unique19 ?
Unique (%)0.5%

Sample

1st row4146
2nd row2800
3rd row4139
4th row4139
5th row4139
ValueCountFrequency (%)
4159 676
17.3%
4127 289
 
7.4%
4139 270
 
6.9%
4113 217
 
5.6%
4122 216
 
5.5%
4157 210
 
5.4%
4146 193
 
4.9%
1100 175
 
4.5%
4161 156
 
4.0%
4148 144
 
3.7%
Other values (43) 1353
34.7%
2024-05-10T20:44:20.954227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5454
30.7%
4 4594
25.9%
5 1589
 
9.0%
2 1070
 
6.0%
9 1026
 
5.8%
3 877
 
4.9%
6 768
 
4.3%
7 762
 
4.3%
0 759
 
4.3%
, 429
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17312
97.6%
Other Punctuation 429
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5454
31.5%
4 4594
26.5%
5 1589
 
9.2%
2 1070
 
6.2%
9 1026
 
5.9%
3 877
 
5.1%
6 768
 
4.4%
7 762
 
4.4%
0 759
 
4.4%
8 413
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 429
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17741
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5454
30.7%
4 4594
25.9%
5 1589
 
9.0%
2 1070
 
6.0%
9 1026
 
5.8%
3 877
 
4.9%
6 768
 
4.3%
7 762
 
4.3%
0 759
 
4.3%
, 429
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17741
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5454
30.7%
4 4594
25.9%
5 1589
 
9.0%
2 1070
 
6.0%
9 1026
 
5.8%
3 877
 
4.9%
6 768
 
4.3%
7 762
 
4.3%
0 759
 
4.3%
, 429
 
2.4%

근무지역
Categorical

HIGH CARDINALITY 

Distinct51
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
화성시
676 
안산시
289 
시흥시
270 
성남시
 
217
평택시
 
216
Other values (46)
2330 

Length

Max length131
Median length3
Mean length3.6415708
Min length3

Unique

Unique14 ?
Unique (%)0.4%

Sample

1st row용인시
2nd row인천광역시
3rd row시흥시
4th row시흥시
5th row시흥시

Common Values

ValueCountFrequency (%)
화성시 676
16.9%
안산시 289
 
7.2%
시흥시 270
 
6.8%
성남시 217
 
5.4%
평택시 216
 
5.4%
김포시 210
 
5.3%
용인시 193
 
4.8%
서울특별시 175
 
4.4%
광주시 156
 
3.9%
파주시 144
 
3.6%
Other values (41) 1452
36.3%

Length

2024-05-10T20:44:21.323973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 676
16.9%
안산시 289
 
7.2%
시흥시 270
 
6.8%
성남시 217
 
5.4%
평택시 216
 
5.4%
김포시 210
 
5.3%
용인시 193
 
4.8%
서울특별시 175
 
4.4%
광주시 156
 
3.9%
파주시 144
 
3.6%
Other values (41) 1452
36.3%

경력코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
1
2335 
3
1274 
2
296 
4
 
93

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 2335
58.4%
3 1274
31.9%
2 296
 
7.4%
4 93
 
2.3%

Length

2024-05-10T20:44:21.661096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:44:21.954910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2335
58.4%
3 1274
31.9%
2 296
 
7.4%
4 93
 
2.3%

경력
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
무관
2335 
경력
1274 
신입
296 
신입/경력
 
93

Length

Max length5
Median length2
Mean length2.0697849
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무관 2335
58.4%
경력 1274
31.9%
신입 296
 
7.4%
신입/경력 93
 
2.3%

Length

2024-05-10T20:44:22.312415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:44:22.654183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무관 2335
58.4%
경력 1274
31.9%
신입 296
 
7.4%
신입/경력 93
 
2.3%

학력코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
00
3119 
03
432 
04
317 
05
 
96
02
 
7
Other values (10)
 
27

Length

Max length14
Median length2
Mean length2.0270135
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row00
2nd row00
3rd row00
4th row00
5th row00

Common Values

ValueCountFrequency (%)
00 3119
78.0%
03 432
 
10.8%
04 317
 
7.9%
05 96
 
2.4%
02 7
 
0.2%
01 6
 
0.2%
04,05,06 5
 
0.1%
06 3
 
0.1%
04,05 3
 
0.1%
04,05,06,07 3
 
0.1%
Other values (5) 7
 
0.2%

Length

2024-05-10T20:44:23.067417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00 3119
78.0%
03 432
 
10.8%
04 317
 
7.9%
05 96
 
2.4%
02 7
 
0.2%
01 6
 
0.2%
04,05,06 5
 
0.1%
06 3
 
0.1%
04,05 3
 
0.1%
04,05,06,07 3
 
0.1%
Other values (5) 7
 
0.2%

학력
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
학력무관
3119 
고졸
432 
대졸(2~3년)
317 
대졸(4년)
 
96
중졸
 
7
Other values (10)
 
27

Length

Max length24
Median length4
Mean length4.2031016
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
학력무관 3119
78.0%
고졸 432
 
10.8%
대졸(2~3년) 317
 
7.9%
대졸(4년) 96
 
2.4%
중졸 7
 
0.2%
초졸이하 6
 
0.2%
대졸(2~3년),대졸(4년),석사 5
 
0.1%
석사 3
 
0.1%
대졸(2~3년),대졸(4년) 3
 
0.1%
대졸(2~3년),대졸(4년),석사,박사 3
 
0.1%
Other values (5) 7
 
0.2%

Length

2024-05-10T20:44:23.510349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
학력무관 3119
78.0%
고졸 432
 
10.8%
대졸(2~3년 317
 
7.9%
대졸(4년 96
 
2.4%
중졸 7
 
0.2%
초졸이하 6
 
0.2%
대졸(2~3년),대졸(4년),석사 5
 
0.1%
석사 3
 
0.1%
대졸(2~3년),대졸(4년 3
 
0.1%
대졸(2~3년),대졸(4년),석사,박사 3
 
0.1%
Other values (5) 7
 
0.2%

모집분야코드
Real number (ℝ)

HIGH CORRELATION 

Distinct537
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458113.5
Minimum31
Maximum905001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.3 KiB
2024-05-10T20:44:23.910186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile16300
Q128404
median561101
Q3821200
95-th percentile890000
Maximum905001
Range904970
Interquartile range (IQR)792796

Descriptive statistics

Standard deviation352520.62
Coefficient of variation (CV)0.76950498
Kurtosis-1.6977589
Mean458113.5
Median Absolute Deviation (MAD)328899
Skewness-0.1388852
Sum1.8315378 × 109
Variance1.2427079 × 1011
MonotonicityNot monotonic
2024-05-10T20:44:24.263058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
890000 226
 
5.7%
26103 127
 
3.2%
561101 97
 
2.4%
26301 86
 
2.2%
890006 82
 
2.1%
624103 78
 
2.0%
28307 73
 
1.8%
28402 67
 
1.7%
159103 55
 
1.4%
28300 50
 
1.3%
Other values (527) 3057
76.5%
ValueCountFrequency (%)
31 1
 
< 0.1%
32 8
0.2%
131 5
0.1%
133 7
0.2%
301 6
0.2%
307 6
0.2%
411 2
 
0.1%
512 1
 
< 0.1%
531 7
0.2%
542 1
 
< 0.1%
ValueCountFrequency (%)
905001 4
 
0.1%
905000 2
 
0.1%
902900 1
 
< 0.1%
902100 1
 
< 0.1%
901501 6
 
0.2%
901500 3
 
0.1%
901200 2
 
0.1%
890007 17
 
0.4%
890006 82
2.1%
890005 11
 
0.3%

모집분야
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
설치ㆍ정비ㆍ생산직
1419 
경영ㆍ사무ㆍ금융ㆍ보험직
1039 
영업ㆍ판매ㆍ운전ㆍ운송직
485 
연구직 및 공학 기술직
452 
미용ㆍ여행ㆍ숙박ㆍ음식ㆍ경비ㆍ청소직
409 
Other values (5)
194 

Length

Max length22
Median length18
Mean length11.405203
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미용ㆍ여행ㆍ숙박ㆍ음식ㆍ경비ㆍ청소직
2nd row연구직 및 공학 기술직
3rd row영업ㆍ판매ㆍ운전ㆍ운송직
4th row경영ㆍ사무ㆍ금융ㆍ보험직
5th row설치ㆍ정비ㆍ생산직

Common Values

ValueCountFrequency (%)
설치ㆍ정비ㆍ생산직 1419
35.5%
경영ㆍ사무ㆍ금융ㆍ보험직 1039
26.0%
영업ㆍ판매ㆍ운전ㆍ운송직 485
 
12.1%
연구직 및 공학 기술직 452
 
11.3%
미용ㆍ여행ㆍ숙박ㆍ음식ㆍ경비ㆍ청소직 409
 
10.2%
건설ㆍ채굴직 84
 
2.1%
예술ㆍ디자인ㆍ방송ㆍ스포츠직 38
 
1.0%
보건ㆍ의료직 34
 
0.9%
농림어업직 19
 
0.5%
교육ㆍ법률ㆍ사회복지ㆍ경찰ㆍ소방직 및 군인 19
 
0.5%

Length

2024-05-10T20:44:24.634165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:44:24.947176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설치ㆍ정비ㆍ생산직 1419
26.3%
경영ㆍ사무ㆍ금융ㆍ보험직 1039
19.3%
영업ㆍ판매ㆍ운전ㆍ운송직 485
 
9.0%
및 471
 
8.7%
연구직 452
 
8.4%
공학 452
 
8.4%
기술직 452
 
8.4%
미용ㆍ여행ㆍ숙박ㆍ음식ㆍ경비ㆍ청소직 409
 
7.6%
건설ㆍ채굴직 84
 
1.6%
예술ㆍ디자인ㆍ방송ㆍ스포츠직 38
 
0.7%
Other values (4) 91
 
1.7%

채용인원
Categorical

IMBALANCE 

Distinct25
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
1
2218 
2
877 
3
294 
5
 
174
10
 
117
Other values (20)
318 

Length

Max length3
Median length1
Mean length1.0507754
Min length1

Unique

Unique6 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 2218
55.5%
2 877
 
21.9%
3 294
 
7.4%
5 174
 
4.4%
10 117
 
2.9%
4 96
 
2.4%
80
 
2.0%
6 25
 
0.6%
20 22
 
0.6%
16
 
0.4%
Other values (15) 79
 
2.0%

Length

2024-05-10T20:44:25.445141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 2218
56.8%
2 877
 
22.5%
3 294
 
7.5%
5 174
 
4.5%
10 117
 
3.0%
4 96
 
2.5%
6 25
 
0.6%
20 22
 
0.6%
15 13
 
0.3%
7 13
 
0.3%
Other values (13) 53
 
1.4%

접수시작일
Date

Distinct46
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
Minimum2024-03-11 00:00:00
Maximum2024-05-10 00:00:00
2024-05-10T20:44:25.814690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:44:26.237529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

접수종료일
Date

Distinct63
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
Minimum2024-05-10 00:00:00
Maximum2070-01-01 00:00:00
2024-05-10T20:44:26.590444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:44:26.961731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

URL
Text

UNIQUE 

Distinct3998
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
2024-05-10T20:44:27.686624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length99
Mean length96.694097
Min length51

Characters and Unicode

Total characters386583
Distinct characters65
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

Unique3998 ?
Unique (%)100.0%

Sample

1st rowhttp://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151342404260012
2nd rowhttp://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151342405020049
3rd rowhttp://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412403120064
4th rowhttp://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412404250036
5th rowhttp://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412404250041
ValueCountFrequency (%)
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=k151342404260012 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=kjku002404170003 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=k151812404170037 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=k151152404170033 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=k151812404180001 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=k151822404180006 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=k151822404180007 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=kec0252404170001 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=kf11602404170001 1
 
< 0.1%
http://www.work.go.kr/empinfo/empinfosrch/detail/empdetailauthview.do?wantedauthno=kjal002404190001 1
 
< 0.1%
Other values (3988) 3988
99.7%
2024-05-10T20:44:28.913662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 27256
 
7.1%
t 27162
 
7.0%
/ 23623
 
6.1%
o 23364
 
6.0%
w 23211
 
6.0%
. 15733
 
4.1%
0 15488
 
4.0%
p 15474
 
4.0%
h 15215
 
3.9%
a 11888
 
3.1%
Other values (55) 188169
48.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 240935
62.3%
Decimal Number 57389
 
14.8%
Other Punctuation 47505
 
12.3%
Uppercase Letter 36297
 
9.4%
Math Symbol 4151
 
1.1%
Connector Punctuation 306
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 7646
21.1%
A 7498
20.7%
K 4158
11.5%
D 3873
10.7%
N 3787
10.4%
S 3742
10.3%
V 3740
10.3%
J 458
 
1.3%
C 342
 
0.9%
R 323
 
0.9%
Other values (16) 730
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 27256
11.3%
t 27162
11.3%
o 23364
 
9.7%
w 23211
 
9.6%
p 15474
 
6.4%
h 15215
 
6.3%
a 11888
 
4.9%
r 11676
 
4.8%
d 11634
 
4.8%
m 11582
 
4.8%
Other values (12) 62473
25.9%
Decimal Number
ValueCountFrequency (%)
0 15488
27.0%
1 10461
18.2%
2 8432
14.7%
4 7764
13.5%
5 6512
11.3%
3 3133
 
5.5%
6 1635
 
2.8%
7 1415
 
2.5%
8 1280
 
2.2%
9 1269
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 23623
49.7%
. 15733
33.1%
: 3998
 
8.4%
? 3998
 
8.4%
& 153
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 4151
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 277232
71.7%
Common 109351
 
28.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 27256
 
9.8%
t 27162
 
9.8%
o 23364
 
8.4%
w 23211
 
8.4%
p 15474
 
5.6%
h 15215
 
5.5%
a 11888
 
4.3%
r 11676
 
4.2%
d 11634
 
4.2%
m 11582
 
4.2%
Other values (38) 98770
35.6%
Common
ValueCountFrequency (%)
/ 23623
21.6%
. 15733
14.4%
0 15488
14.2%
1 10461
9.6%
2 8432
 
7.7%
4 7764
 
7.1%
5 6512
 
6.0%
= 4151
 
3.8%
: 3998
 
3.7%
? 3998
 
3.7%
Other values (7) 9191
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 27256
 
7.1%
t 27162
 
7.0%
/ 23623
 
6.1%
o 23364
 
6.0%
w 23211
 
6.0%
. 15733
 
4.1%
0 15488
 
4.0%
p 15474
 
4.0%
h 15215
 
3.9%
a 11888
 
3.1%
Other values (55) 188169
48.7%

Interactions

2024-05-10T20:44:11.644794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T20:44:29.277738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고형태코드공고형태근무지역코드근무지역경력코드경력학력코드학력모집분야코드모집분야채용인원접수시작일접수종료일
공고형태코드1.0001.0000.5300.5290.1790.1790.0980.0980.2450.3380.1950.1800.630
공고형태1.0001.0000.5410.5620.6330.6330.4220.4220.5530.5690.6170.6000.711
근무지역코드0.5300.5411.0001.0000.4440.4440.2800.2800.3540.4050.3240.3250.907
근무지역0.5290.5621.0001.0000.4460.4460.2950.2950.3800.4300.3740.3500.910
경력코드0.1790.6330.4440.4461.0001.0000.3540.3540.2630.2290.3510.4520.685
경력0.1790.6330.4440.4461.0001.0000.3540.3540.2630.2290.3510.4520.685
학력코드0.0980.4220.2800.2950.3540.3541.0001.0000.3080.3190.0000.2160.576
학력0.0980.4220.2800.2950.3540.3541.0001.0000.3080.3190.0000.2160.576
모집분야코드0.2450.5530.3540.3800.2630.2630.3080.3081.0000.9940.4030.3120.303
모집분야0.3380.5690.4050.4300.2290.2290.3190.3190.9941.0000.3610.2280.427
채용인원0.1950.6170.3240.3740.3510.3510.0000.0000.4030.3611.0000.5540.686
접수시작일0.1800.6000.3250.3500.4520.4520.2160.2160.3120.2280.5541.0000.975
접수종료일0.6300.7110.9070.9100.6850.6850.5760.5760.3030.4270.6860.9751.000
2024-05-10T20:44:29.603702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학력코드공고형태코드학력채용인원모집분야근무지역경력코드경력
학력코드1.0000.0461.0000.0000.1240.0860.2070.207
공고형태코드0.0461.0000.0460.0880.1850.2550.1160.116
학력1.0000.0461.0000.0000.1240.0860.2070.207
채용인원0.0000.0880.0001.0000.1350.0810.1920.192
모집분야0.1240.1850.1240.1351.0000.1500.1390.139
근무지역0.0860.2550.0860.0810.1501.0000.2360.236
경력코드0.2070.1160.2070.1920.1390.2361.0001.000
경력0.2070.1160.2070.1920.1390.2361.0001.000
2024-05-10T20:44:29.999494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집분야코드공고형태코드근무지역경력코드경력학력코드학력모집분야채용인원
모집분야코드1.0000.1310.1300.1600.1600.1200.1200.8560.153
공고형태코드0.1311.0000.2550.1160.1160.0460.0460.1850.088
근무지역0.1300.2551.0000.2360.2360.0860.0860.1500.081
경력코드0.1600.1160.2361.0001.0000.2070.2070.1390.192
경력0.1600.1160.2361.0001.0000.2070.2070.1390.192
학력코드0.1200.0460.0860.2070.2071.0001.0000.1240.000
학력0.1200.0460.0860.2070.2071.0001.0000.1240.000
모집분야0.8560.1850.1500.1390.1390.1240.1241.0000.135
채용인원0.1530.0880.0810.1920.1920.0000.0000.1351.000

Missing values

2024-05-10T20:44:12.048176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:44:12.760988image/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.
2024-05-10T20:44:13.217306image/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

기업명공고명급여조건공고형태코드공고형태근무지역코드근무지역경력코드경력학력코드학력모집분야코드모집분야채용인원접수시작일접수종료일URL
0하이리치자산관리(주)[상현벽산블루밍]미화원 모집월급 141만원 ~ 141만원02기간의 정함이 있는 근로계약12 개월/ 파견근로 비희망/ 대체인력채용 비희망4146용인시1무관00학력무관561101미용ㆍ여행ㆍ숙박ㆍ음식ㆍ경비ㆍ청소직12024-04-262024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151342404260012
1하나엠앤에스(주)건설현장 안전지도원 모집 (인천)월급 290만원 ~ 325만원02기간의 정함이 있는 근로계약12 개월/ 파견근로 비희망/ 대체인력채용 비희망2800인천광역시3경력00학력무관140206연구직 및 공학 기술직12024-05-022024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151342405020049
2태평철강(주)시화 철강 파이프 상하차(호이스트 이용) 직원 모...월급 300만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시1무관00학력무관623003영업ㆍ판매ㆍ운전ㆍ운송직12024-03-122024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412403120064
3(주)한국나노정밀제관. 생산관리 (cad도면 /소재발주/출도/견적...연봉 4800만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시3경력00학력무관26103경영ㆍ사무ㆍ금융ㆍ보험직12024-04-252024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412404250036
4(주)한국나노정밀용접사 경력자 채용공고시급 14000원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시3경력00학력무관824100설치ㆍ정비ㆍ생산직12024-04-252024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412404250041
5(주)한국나노정밀제관사 경력자 채용공고시급 15000원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시3경력00학력무관822301설치ㆍ정비ㆍ생산직12024-04-252024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412404250042
6성진세미텍(주)절곡기조작원 신입 및 유경력 직원을 모집합니다.연봉 4000만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시1무관00학력무관822202설치ㆍ정비ㆍ생산직22024-05-072024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412405070026
7성진세미텍(주)반도체 부품가공 머시닝센터 5축 파워밀 운용 경력...연봉 4500만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시3경력00학력무관813210설치ㆍ정비ㆍ생산직22024-05-072024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412405070028
8성진세미텍(주)반도체 설비 조립,사상,포장 등 작업 단순 노무 ...연봉 3400만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시2신입00학력무관816200설치ㆍ정비ㆍ생산직12024-05-072024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412405070034
9성진세미텍(주)반도체부품가공 범용선반운용 유경력직원을 모집합니다...연봉 5000만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4139시흥시3경력00학력무관813202설치ㆍ정비ㆍ생산직22024-05-072024-05-11http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151412405070035
기업명공고명급여조건공고형태코드공고형태근무지역코드근무지역경력코드경력학력코드학력모집분야코드모집분야채용인원접수시작일접수종료일URL
3988천원종합개발(주)안성마에스트로 골프장 락카 관리담당 직원 채용연봉 2855만원 ~ 3000만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시3경력00학력무관562903미용ㆍ여행ㆍ숙박ㆍ음식ㆍ경비ㆍ청소직12024-04-092024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404090041
3989대원판지공업(주)골판지 제조업 상자 생산관리 모집연봉 3000만원 ~ 3800만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시1무관00학력무관28406경영ㆍ사무ㆍ금융ㆍ보험직12024-04-112024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404110020
3990투인텍(주)투인텍(주) 경력,신입 경리사무원 인재 모집 합니...월급 210만원 ~ 210만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시1무관00학력무관27204경영ㆍ사무ㆍ금융ㆍ보험직12024-04-172024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404170016
3991진성산업(주)사무직 사원 모집월급 220만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시1무관00학력무관26301경영ㆍ사무ㆍ금융ㆍ보험직12024-04-222024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404220045
3992(주)펫원물류관리 정규직 채용(반려동물 식품 제조회사 )연봉 3500만원 ~ 3500만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시1무관00학력무관28300경영ㆍ사무ㆍ금융ㆍ보험직12024-04-242024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404240010
3993(주)펫원반려동물용 사료 및 간식 제조 업체입니다. 경영관...연봉 3000만원 ~ 3000만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시3경력00학력무관27200경영ㆍ사무ㆍ금융ㆍ보험직12024-04-242024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404240022
3994고려엔티씨(주)케이블 및 절연선 압출 기사 및 제조관련 단순 ...월급 206만원 ~ 300만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시1무관00학력무관821203설치ㆍ정비ㆍ생산직22024-04-242024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404240024
3995(주)에스앤에이치이엔지생산관리 - 경력자 모집연봉 4000만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시3경력00학력무관28406경영ㆍ사무ㆍ금융ㆍ보험직22024-04-262024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722404260036
3996농업회사법인(주)더미트축산 제조업 품질 관리 경력직 사원 채용(QC)연봉 4000만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시3경력00학력무관28405경영ㆍ사무ㆍ금융ㆍ보험직12024-05-022024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722405020022
3997농업회사법인(주)더미트물류 입.출고 관리 사원연봉 3240만원 ~ 3480만원01기간의 정함이 없는 근로계약/ 파견근로 비희망/ 대체인력채용 비희망4155안성시1무관00학력무관28300경영ㆍ사무ㆍ금융ㆍ보험직12024-05-022024-05-31http://www.work.go.kr/empInfo/empInfoSrch/detail/empDetailAuthView.do?wantedAuthNo=K151722405020023