Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells4419
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory188.0 B

Variable types

DateTime1
Categorical9
Text8
Numeric4

Alerts

근무형태 is highly imbalanced (50.9%)Imbalance
최소학력 is highly imbalanced (74.2%)Imbalance
최대학력 is highly imbalanced (75.4%)Imbalance
정보제공출처명 is highly imbalanced (99.5%)Imbalance
근무지 상세주소 has 4413 (44.1%) missing valuesMissing
워크넷 채용정보 URL has unique valuesUnique
최대임금액 has 4387 (43.9%) zerosZeros

Reproduction

Analysis started2024-05-10 20:49:19.931735
Analysis finished2024-05-10 20:49:25.489887
Duration5.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일자
Date

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-11 00:00:00
Maximum2024-05-08 00:00:00
2024-05-10T20:49:25.717024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:49:26.173954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

시군명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화성시
1441 
시흥시
 
607
용인시
 
603
김포시
 
598
안산시
 
572
Other values (27)
6179 

Length

Max length4
Median length3
Mean length3.0594
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여주시
2nd row시흥시
3rd row고양시
4th row안산시
5th row고양시

Common Values

ValueCountFrequency (%)
화성시 1441
 
14.4%
시흥시 607
 
6.1%
용인시 603
 
6.0%
김포시 598
 
6.0%
안산시 572
 
5.7%
성남시 535
 
5.3%
평택시 486
 
4.9%
고양시 447
 
4.5%
파주시 444
 
4.4%
수원시 425
 
4.2%
Other values (22) 3842
38.4%

Length

2024-05-10T20:49:26.750948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 1441
 
14.4%
시흥시 607
 
6.1%
용인시 603
 
6.0%
김포시 598
 
6.0%
안산시 572
 
5.7%
성남시 535
 
5.3%
평택시 486
 
4.9%
고양시 447
 
4.5%
파주시 444
 
4.4%
수원시 425
 
4.2%
Other values (22) 3842
38.4%

회사명
Text

Distinct8165
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:49:27.404510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length9.0144
Min length2

Characters and Unicode

Total characters90144
Distinct characters875
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6857 ?
Unique (%)68.6%

Sample

1st row시애노병원부설전문요양센터
2nd row주식회사신창글로텍
3rd row태영종합설비(주)
4th row세무법인대일
5th row주식회사아티콜로
ValueCountFrequency (%)
주식회사 1251
 
10.3%
주 94
 
0.8%
co.,ltd 45
 
0.4%
농업회사법인 37
 
0.3%
주)맥서브(maxerve 28
 
0.2%
방문요양센터 27
 
0.2%
요양원 27
 
0.2%
ltd 25
 
0.2%
co 23
 
0.2%
재가복지센터 17
 
0.1%
Other values (8542) 10612
87.1%
2024-05-10T20:49:28.673322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6259
 
6.9%
사 4139
 
4.6%
회 3690
 
4.1%
식 3453
 
3.8%
) 3045
 
3.4%
( 3041
 
3.4%
이 2261
 
2.5%
2189
 
2.4%
스 1853
 
2.1%
지 1520
 
1.7%
Other values (865) 58694
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77484
86.0%
Close Punctuation 3045
 
3.4%
Open Punctuation 3041
 
3.4%
Space Separator 2189
 
2.4%
Uppercase Letter 2049
 
2.3%
Lowercase Letter 1503
 
1.7%
Other Punctuation 499
 
0.6%
Decimal Number 261
 
0.3%
Math Symbol 42
 
< 0.1%
Dash Punctuation 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6259
 
8.1%
사 4139
 
5.3%
회 3690
 
4.8%
식 3453
 
4.5%
이 2261
 
2.9%
스 1853
 
2.4%
지 1520
 
2.0%
터 1388
 
1.8%
센 1289
 
1.7%
에 1160
 
1.5%
Other values (789) 50472
65.1%
Uppercase Letter
ValueCountFrequency (%)
C 241
 
11.8%
L 194
 
9.5%
A 167
 
8.2%
S 146
 
7.1%
O 123
 
6.0%
T 119
 
5.8%
E 114
 
5.6%
N 113
 
5.5%
I 113
 
5.5%
M 110
 
5.4%
Other values (16) 609
29.7%
Lowercase Letter
ValueCountFrequency (%)
o 187
12.4%
e 172
11.4%
t 167
11.1%
d 137
9.1%
n 116
 
7.7%
a 107
 
7.1%
r 89
 
5.9%
i 83
 
5.5%
c 68
 
4.5%
l 49
 
3.3%
Other values (15) 328
21.8%
Decimal Number
ValueCountFrequency (%)
1 71
27.2%
2 43
16.5%
5 27
 
10.3%
3 25
 
9.6%
0 23
 
8.8%
7 16
 
6.1%
4 15
 
5.7%
6 15
 
5.7%
9 14
 
5.4%
8 12
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 289
57.9%
, 130
26.1%
& 62
 
12.4%
' 7
 
1.4%
? 4
 
0.8%
: 3
 
0.6%
# 2
 
0.4%
· 1
 
0.2%
/ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 3045
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3041
100.0%
Space Separator
ValueCountFrequency (%)
2189
100.0%
Math Symbol
ValueCountFrequency (%)
+ 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77484
86.0%
Common 9102
 
10.1%
Latin 3552
 
3.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6259
 
8.1%
사 4139
 
5.3%
회 3690
 
4.8%
식 3453
 
4.5%
이 2261
 
2.9%
스 1853
 
2.4%
지 1520
 
2.0%
터 1388
 
1.8%
센 1289
 
1.7%
에 1160
 
1.5%
Other values (784) 50472
65.1%
Latin
ValueCountFrequency (%)
C 241
 
6.8%
L 194
 
5.5%
o 187
 
5.3%
e 172
 
4.8%
t 167
 
4.7%
A 167
 
4.7%
S 146
 
4.1%
d 137
 
3.9%
O 123
 
3.5%
T 119
 
3.4%
Other values (41) 1899
53.5%
Common
ValueCountFrequency (%)
) 3045
33.5%
( 3041
33.4%
2189
24.0%
. 289
 
3.2%
, 130
 
1.4%
1 71
 
0.8%
& 62
 
0.7%
2 43
 
0.5%
+ 42
 
0.5%
5 27
 
0.3%
Other values (14) 163
 
1.8%
Han
ValueCountFrequency (%)
美 1
16.7%
大 1
16.7%
顥 1
16.7%
到 1
16.7%
我 1
16.7%
愛 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77478
85.9%
ASCII 12653
 
14.0%
None 7
 
< 0.1%
CJK 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 6259
 
8.1%
사 4139
 
5.3%
회 3690
 
4.8%
식 3453
 
4.5%
이 2261
 
2.9%
스 1853
 
2.4%
지 1520
 
2.0%
터 1388
 
1.8%
센 1289
 
1.7%
에 1160
 
1.5%
Other values (783) 50466
65.1%
ASCII
ValueCountFrequency (%)
) 3045
24.1%
( 3041
24.0%
2189
17.3%
. 289
 
2.3%
C 241
 
1.9%
L 194
 
1.5%
o 187
 
1.5%
e 172
 
1.4%
t 167
 
1.3%
A 167
 
1.3%
Other values (64) 2961
23.4%
None
ValueCountFrequency (%)
㈜ 6
85.7%
· 1
 
14.3%
CJK
ValueCountFrequency (%)
美 1
16.7%
大 1
16.7%
顥 1
16.7%
到 1
16.7%
我 1
16.7%
愛 1
16.7%

채용공고명
Text

Distinct9413
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:49:29.383491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length19.8781
Min length2

Characters and Unicode

Total characters198781
Distinct characters941
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9207 ?
Unique (%)92.1%

Sample

1st row간호사 모집합니다.
2nd row섬유 염색 가공 업체 직원 모집
3rd row기계설비 및 소방설비 본사 공사 및 공무 직원 구...
4th row세무사 사무실 직원 채용
5th row고무생산기계조작원 모집
ValueCountFrequency (%)
모집 2379
 
5.9%
및 1018
 
2.5%
916
 
2.3%
채용 913
 
2.3%
요양보호사 723
 
1.8%
구인 679
 
1.7%
모집합니다 643
 
1.6%
직원 615
 
1.5%
생산직 542
 
1.3%
사원 341
 
0.8%
Other values (12679) 31804
78.4%
2024-05-10T20:49:30.535649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31141
 
15.7%
. 8696
 
4.4%
사 5163
 
2.6%
원 4796
 
2.4%
모 4600
 
2.3%
집 4120
 
2.1%
( 3193
 
1.6%
직 3112
 
1.6%
) 2642
 
1.3%
리 2601
 
1.3%
Other values (931) 128717
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140666
70.8%
Space Separator 31141
 
15.7%
Other Punctuation 11458
 
5.8%
Open Punctuation 4677
 
2.4%
Close Punctuation 4039
 
2.0%
Decimal Number 2922
 
1.5%
Uppercase Letter 2645
 
1.3%
Lowercase Letter 557
 
0.3%
Dash Punctuation 345
 
0.2%
Math Symbol 135
 
0.1%
Other values (3) 196
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 5163
 
3.7%
원 4796
 
3.4%
모 4600
 
3.3%
집 4120
 
2.9%
직 3112
 
2.2%
리 2601
 
1.8%
용 2189
 
1.6%
양 2144
 
1.5%
니 2139
 
1.5%
구 2095
 
1.5%
Other values (823) 107707
76.6%
Uppercase Letter
ValueCountFrequency (%)
C 633
23.9%
A 216
 
8.2%
S 207
 
7.8%
M 197
 
7.4%
T 181
 
6.8%
D 177
 
6.7%
P 153
 
5.8%
N 143
 
5.4%
L 90
 
3.4%
O 72
 
2.7%
Other values (16) 576
21.8%
Lowercase Letter
ValueCountFrequency (%)
c 93
16.7%
t 48
 
8.6%
e 43
 
7.7%
o 42
 
7.5%
n 38
 
6.8%
a 37
 
6.6%
r 33
 
5.9%
p 28
 
5.0%
s 28
 
5.0%
m 27
 
4.8%
Other values (14) 140
25.1%
Other Punctuation
ValueCountFrequency (%)
. 8696
75.9%
, 1254
 
10.9%
/ 1161
 
10.1%
& 96
 
0.8%
* 64
 
0.6%
! 53
 
0.5%
· 34
 
0.3%
' 32
 
0.3%
: 30
 
0.3%
※ 13
 
0.1%
Other values (6) 25
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 811
27.8%
4 544
18.6%
0 397
13.6%
5 331
11.3%
3 312
 
10.7%
1 276
 
9.4%
6 95
 
3.3%
8 59
 
2.0%
9 58
 
2.0%
7 39
 
1.3%
Other Symbol
ValueCountFrequency (%)
★ 53
60.2%
◆ 10
 
11.4%
♥ 6
 
6.8%
☆ 4
 
4.5%
■ 4
 
4.5%
㈜ 4
 
4.5%
◇ 2
 
2.3%
♡ 2
 
2.3%
♣ 2
 
2.3%
▶ 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 3193
68.3%
[ 1460
31.2%
【 14
 
0.3%
『 8
 
0.2%
「 1
 
< 0.1%
{ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2642
65.4%
] 1384
34.3%
】 9
 
0.2%
』 2
 
< 0.1%
」 1
 
< 0.1%
} 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 71
52.6%
< 24
 
17.8%
> 21
 
15.6%
+ 18
 
13.3%
= 1
 
0.7%
Modifier Symbol
ValueCountFrequency (%)
^ 9
60.0%
` 6
40.0%
Space Separator
ValueCountFrequency (%)
31141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140662
70.8%
Common 54909
 
27.6%
Latin 3202
 
1.6%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 5163
 
3.7%
원 4796
 
3.4%
모 4600
 
3.3%
집 4120
 
2.9%
직 3112
 
2.2%
리 2601
 
1.8%
용 2189
 
1.6%
양 2144
 
1.5%
니 2139
 
1.5%
구 2095
 
1.5%
Other values (818) 107703
76.6%
Common
ValueCountFrequency (%)
31141
56.7%
. 8696
 
15.8%
( 3193
 
5.8%
) 2642
 
4.8%
[ 1460
 
2.7%
] 1384
 
2.5%
, 1254
 
2.3%
/ 1161
 
2.1%
2 811
 
1.5%
4 544
 
1.0%
Other values (47) 2623
 
4.8%
Latin
ValueCountFrequency (%)
C 633
19.8%
A 216
 
6.7%
S 207
 
6.5%
M 197
 
6.2%
T 181
 
5.7%
D 177
 
5.5%
P 153
 
4.8%
N 143
 
4.5%
c 93
 
2.9%
L 90
 
2.8%
Other values (40) 1112
34.7%
Han
ValueCountFrequency (%)
無 2
25.0%
內 2
25.0%
件 1
12.5%
必 1
12.5%
社 1
12.5%
多 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140653
70.8%
ASCII 57945
29.2%
None 73
 
< 0.1%
Misc Symbols 67
 
< 0.1%
Geometric Shapes 17
 
< 0.1%
Punctuation 13
 
< 0.1%
CJK 8
 
< 0.1%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31141
53.7%
. 8696
 
15.0%
( 3193
 
5.5%
) 2642
 
4.6%
[ 1460
 
2.5%
] 1384
 
2.4%
, 1254
 
2.2%
/ 1161
 
2.0%
2 811
 
1.4%
C 633
 
1.1%
Other values (80) 5570
 
9.6%
Hangul
ValueCountFrequency (%)
사 5163
 
3.7%
원 4796
 
3.4%
모 4600
 
3.3%
집 4120
 
2.9%
직 3112
 
2.2%
리 2601
 
1.8%
용 2189
 
1.6%
양 2144
 
1.5%
니 2139
 
1.5%
구 2095
 
1.5%
Other values (815) 107694
76.6%
Misc Symbols
ValueCountFrequency (%)
★ 53
79.1%
♥ 6
 
9.0%
☆ 4
 
6.0%
♡ 2
 
3.0%
♣ 2
 
3.0%
None
ValueCountFrequency (%)
· 34
46.6%
【 14
19.2%
】 9
 
12.3%
『 8
 
11.0%
㈜ 4
 
5.5%
』 2
 
2.7%
」 1
 
1.4%
「 1
 
1.4%
Punctuation
ValueCountFrequency (%)
※ 13
100.0%
Geometric Shapes
ValueCountFrequency (%)
◆ 10
58.8%
■ 4
 
23.5%
◇ 2
 
11.8%
▶ 1
 
5.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
60.0%
ㅣ 2
40.0%
CJK
ValueCountFrequency (%)
無 2
25.0%
內 2
25.0%
件 1
12.5%
必 1
12.5%
社 1
12.5%
多 1
12.5%

임금형태
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
월급
4975 
연봉
3090 
시급
1866 
일급
 
69

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
월급 4975
49.8%
연봉 3090
30.9%
시급 1866
 
18.7%
일급 69
 
0.7%

Length

2024-05-10T20:49:31.034927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:49:31.353979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월급 4975
49.8%
연봉 3090
30.9%
시급 1866
 
18.7%
일급 69
 
0.7%

급여
Text

Distinct1565
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:49:32.142458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length10.2076
Min length4

Characters and Unicode

Total characters102076
Distinct characters14
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

Unique844 ?
Unique (%)8.4%

Sample

1st row250만원 ~ 300만원
2nd row9860원
3rd row250만원 ~ 300만원
4th row2500만원
5th row206만원
ValueCountFrequency (%)
5613
26.4%
250만원 956
 
4.5%
3000만원 870
 
4.1%
300만원 762
 
3.6%
12500원 760
 
3.6%
9860원 687
 
3.2%
206만원 615
 
2.9%
230만원 515
 
2.4%
4000만원 503
 
2.4%
210만원 463
 
2.2%
Other values (574) 9482
44.7%
2024-05-10T20:49:33.519294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24668
24.2%
원 15613
15.3%
만 12653
12.4%
11226
11.0%
2 9323
 
9.1%
~ 5613
 
5.5%
3 5434
 
5.3%
5 4236
 
4.1%
1 3845
 
3.8%
6 2702
 
2.6%
Other values (4) 6763
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56971
55.8%
Other Letter 28266
27.7%
Space Separator 11226
 
11.0%
Math Symbol 5613
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24668
43.3%
2 9323
 
16.4%
3 5434
 
9.5%
5 4236
 
7.4%
1 3845
 
6.7%
6 2702
 
4.7%
4 2582
 
4.5%
8 1915
 
3.4%
9 1157
 
2.0%
7 1109
 
1.9%
Other Letter
ValueCountFrequency (%)
원 15613
55.2%
만 12653
44.8%
Space Separator
ValueCountFrequency (%)
11226
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5613
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73810
72.3%
Hangul 28266
 
27.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24668
33.4%
11226
15.2%
2 9323
 
12.6%
~ 5613
 
7.6%
3 5434
 
7.4%
5 4236
 
5.7%
1 3845
 
5.2%
6 2702
 
3.7%
4 2582
 
3.5%
8 1915
 
2.6%
Other values (2) 2266
 
3.1%
Hangul
ValueCountFrequency (%)
원 15613
55.2%
만 12653
44.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73810
72.3%
Hangul 28266
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24668
33.4%
11226
15.2%
2 9323
 
12.6%
~ 5613
 
7.6%
3 5434
 
7.4%
5 4236
 
5.7%
1 3845
 
5.2%
6 2702
 
3.7%
4 2582
 
3.5%
8 1915
 
2.6%
Other values (2) 2266
 
3.1%
Hangul
ValueCountFrequency (%)
원 15613
55.2%
만 12653
44.8%

최소임금액
Real number (ℝ)

Distinct826
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11513371
Minimum9860
Maximum80000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T20:49:33.950507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9860
5-th percentile9860
Q12060740
median2500000
Q328000000
95-th percentile40000000
Maximum80000000
Range79990140
Interquartile range (IQR)25939260

Descriptive statistics

Standard deviation15180794
Coefficient of variation (CV)1.318536
Kurtosis-0.15683822
Mean11513371
Median Absolute Deviation (MAD)2396800
Skewness1.1022615
Sum1.1513371 × 1011
Variance2.3045651 × 1014
MonotonicityNot monotonic
2024-05-10T20:49:34.486091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 676
 
6.8%
2500000 666
 
6.7%
9860 542
 
5.4%
12500 472
 
4.7%
2060740 448
 
4.5%
3000000 400
 
4.0%
2100000 384
 
3.8%
2300000 361
 
3.6%
2200000 308
 
3.1%
40000000 263
 
2.6%
Other values (816) 5480
54.8%
ValueCountFrequency (%)
9860 542
5.4%
9870 1
 
< 0.1%
9886 1
 
< 0.1%
9900 9
 
0.1%
9904 1
 
< 0.1%
9950 1
 
< 0.1%
10000 109
 
1.1%
10020 1
 
< 0.1%
10069 1
 
< 0.1%
10100 2
 
< 0.1%
ValueCountFrequency (%)
80000000 3
 
< 0.1%
75000000 1
 
< 0.1%
70000000 4
 
< 0.1%
68000000 1
 
< 0.1%
65000000 6
 
0.1%
63000000 1
 
< 0.1%
60000000 41
0.4%
58000000 1
 
< 0.1%
56700000 1
 
< 0.1%
55000000 16
 
0.2%

최대임금액
Real number (ℝ)

ZEROS 

Distinct634
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8048460.6
Minimum0
Maximum1 × 108
Zeros4387
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T20:49:35.011729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12500
Q33000000
95-th percentile45000000
Maximum1 × 108
Range1 × 108
Interquartile range (IQR)3000000

Descriptive statistics

Standard deviation16040661
Coefficient of variation (CV)1.9930098
Kurtosis3.2816225
Mean8048460.6
Median Absolute Deviation (MAD)12500
Skewness2.0675716
Sum8.0484606 × 1010
Variance2.5730281 × 1014
MonotonicityNot monotonic
2024-05-10T20:49:35.497809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4387
43.9%
3000000 360
 
3.6%
2500000 288
 
2.9%
12500 288
 
2.9%
40000000 240
 
2.4%
30000000 194
 
1.9%
3500000 183
 
1.8%
50000000 179
 
1.8%
35000000 162
 
1.6%
2300000 147
 
1.5%
Other values (624) 3572
35.7%
ValueCountFrequency (%)
0 4387
43.9%
9860 145
 
1.5%
9880 1
 
< 0.1%
9900 1
 
< 0.1%
9950 1
 
< 0.1%
10000 51
 
0.5%
10060 1
 
< 0.1%
10069 1
 
< 0.1%
10110 2
 
< 0.1%
10200 1
 
< 0.1%
ValueCountFrequency (%)
100000000 2
 
< 0.1%
99000000 1
 
< 0.1%
90000000 2
 
< 0.1%
82000000 1
 
< 0.1%
80000000 16
0.2%
75000000 6
 
0.1%
70000000 31
0.3%
68000000 1
 
< 0.1%
67000000 1
 
< 0.1%
65000000 23
0.2%

근무지역
Categorical

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기 화성시
1441 
경기 시흥시
 
607
경기 김포시
 
598
경기 평택시
 
486
경기 안산시 단원구
 
449
Other values (39)
6419 

Length

Max length11
Median length6
Mean length7.351
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기 여주시
2nd row경기 시흥시
3rd row경기 고양시 덕양구
4th row경기 안산시 단원구
5th row경기 고양시 일산동구

Common Values

ValueCountFrequency (%)
경기 화성시 1441
 
14.4%
경기 시흥시 607
 
6.1%
경기 김포시 598
 
6.0%
경기 평택시 486
 
4.9%
경기 안산시 단원구 449
 
4.5%
경기 파주시 444
 
4.4%
경기 광주시 424
 
4.2%
경기 남양주시 419
 
4.2%
경기 안성시 293
 
2.9%
경기 성남시 분당구 287
 
2.9%
Other values (34) 4552
45.5%

Length

2024-05-10T20:49:35.915524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 10000
43.2%
화성시 1441
 
6.2%
시흥시 607
 
2.6%
용인시 605
 
2.6%
김포시 598
 
2.6%
안산시 572
 
2.5%
성남시 535
 
2.3%
평택시 486
 
2.1%
단원구 449
 
1.9%
고양시 447
 
1.9%
Other values (42) 7423
32.0%

근무형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주5일근무
8343 
주6일근무
1268 
<NA>
 
389

Length

Max length5
Median length5
Mean length4.9611
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주5일근무
2nd row주5일근무
3rd row주5일근무
4th row주5일근무
5th row주5일근무

Common Values

ValueCountFrequency (%)
주5일근무 8343
83.4%
주6일근무 1268
 
12.7%
<NA> 389
 
3.9%

Length

2024-05-10T20:49:36.270746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:49:36.657609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주5일근무 8343
83.4%
주6일근무 1268
 
12.7%
na 389
 
3.9%

최소학력
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
학력무관
8746 
고졸
 
731
대졸(2~3년)
 
399
대졸(4년)
 
85
중졸
 
28
Other values (2)
 
11

Length

Max length8
Median length4
Mean length4.0246
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
학력무관 8746
87.5%
고졸 731
 
7.3%
대졸(2~3년) 399
 
4.0%
대졸(4년) 85
 
0.9%
중졸 28
 
0.3%
초졸이하 10
 
0.1%
석사 1
 
< 0.1%

Length

2024-05-10T20:49:36.943840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:49:37.305720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학력무관 8746
87.5%
고졸 731
 
7.3%
대졸(2~3년 399
 
4.0%
대졸(4년 85
 
0.9%
중졸 28
 
0.3%
초졸이하 10
 
0.1%
석사 1
 
< 0.1%

최대학력
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8955 
대졸(4년)
 
708
대졸(2~3년)
 
153
박사
 
87
석사
 
83

Length

Max length8
Median length4
Mean length4.166
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8955
89.5%
대졸(4년) 708
 
7.1%
대졸(2~3년) 153
 
1.5%
박사 87
 
0.9%
석사 83
 
0.8%
고졸 14
 
0.1%

Length

2024-05-10T20:49:37.720582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:49:37.979666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8955
89.5%
대졸(4년 708
 
7.1%
대졸(2~3년 153
 
1.5%
박사 87
 
0.9%
석사 83
 
0.8%
고졸 14
 
0.1%

경력
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
관계없음
6350 
경력
2787 
신입
863 

Length

Max length4
Median length4
Mean length3.27
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관계없음 6350
63.5%
경력 2787
27.9%
신입 863
 
8.6%

Length

2024-05-10T20:49:38.343436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:49:38.673189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관계없음 6350
63.5%
경력 2787
27.9%
신입 863
 
8.6%

마감일자
Text

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:49:39.067540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length14.4415
Min length10

Characters and Unicode

Total characters144415
Distinct characters17
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

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-05-31
2nd row채용시까지 2024-06-10
3rd row채용시까지 2024-06-21
4th row채용시까지 2024-05-11
5th row채용시까지 2024-06-18
ValueCountFrequency (%)
채용시까지 6345
38.8%
2024-05-31 1488
 
9.1%
2024-05-10 540
 
3.3%
2024-05-17 364
 
2.2%
2024-05-15 315
 
1.9%
2024-05-21 248
 
1.5%
2024-05-18 244
 
1.5%
2024-05-20 241
 
1.5%
2024-05-14 237
 
1.4%
2024-05-24 233
 
1.4%
Other values (51) 6090
37.3%
2024-05-10T20:49:40.122282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 23534
16.3%
0 22993
15.9%
- 20000
13.8%
12690
8.8%
4 10922
7.6%
5 6853
 
4.7%
시 6345
 
4.4%
지 6345
 
4.4%
까 6345
 
4.4%
용 6345
 
4.4%
Other values (7) 22043
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
55.4%
Other Letter 31725
 
22.0%
Dash Punctuation 20000
 
13.8%
Space Separator 12690
 
8.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23534
29.4%
0 22993
28.7%
4 10922
13.7%
5 6853
 
8.6%
1 6329
 
7.9%
6 4041
 
5.1%
3 2352
 
2.9%
7 1647
 
2.1%
8 799
 
1.0%
9 530
 
0.7%
Other Letter
ValueCountFrequency (%)
시 6345
20.0%
지 6345
20.0%
까 6345
20.0%
용 6345
20.0%
채 6345
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Space Separator
ValueCountFrequency (%)
12690
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112690
78.0%
Hangul 31725
 
22.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 23534
20.9%
0 22993
20.4%
- 20000
17.7%
12690
11.3%
4 10922
9.7%
5 6853
 
6.1%
1 6329
 
5.6%
6 4041
 
3.6%
3 2352
 
2.1%
7 1647
 
1.5%
Other values (2) 1329
 
1.2%
Hangul
ValueCountFrequency (%)
시 6345
20.0%
지 6345
20.0%
까 6345
20.0%
용 6345
20.0%
채 6345
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112690
78.0%
Hangul 31725
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 23534
20.9%
0 22993
20.4%
- 20000
17.7%
12690
11.3%
4 10922
9.7%
5 6853
 
6.1%
1 6329
 
5.6%
6 4041
 
3.6%
3 2352
 
2.1%
7 1647
 
1.5%
Other values (2) 1329
 
1.2%
Hangul
ValueCountFrequency (%)
시 6345
20.0%
지 6345
20.0%
까 6345
20.0%
용 6345
20.0%
채 6345
20.0%

정보제공출처명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
워크넷인증
9996 
<NA>
 
4

Length

Max length5
Median length5
Mean length4.9996
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
워크넷인증 9996
> 99.9%
<NA> 4
 
< 0.1%

Length

2024-05-10T20:49:40.445226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:49:40.759122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
워크넷인증 9996
> 99.9%
na 4
 
< 0.1%

워크넷 채용정보 URL
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:49:41.404523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length72
Mean length72.0108
Min length72

Characters and Unicode

Total characters720108
Distinct characters59
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttp://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K151692405030011
2nd rowhttp://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K151412404120033
3rd rowhttp://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K151812404220040
4th rowhttp://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K151422403130019
5th rowhttp://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K151812404220010
ValueCountFrequency (%)
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151692405030011 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=kn50082405030001 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151132405020047 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151522404160057 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151332404230014 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151232405080028 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151152405030039 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151652404080053 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151152403120045 1
 
< 0.1%
http://www.work.go.kr/empdetailredirect.do?wantedauthno=k151412404220039 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-10T20:49:42.523216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 60004
 
8.3%
e 50008
 
6.9%
w 50004
 
6.9%
0 41049
 
5.7%
o 40008
 
5.6%
. 40000
 
5.6%
/ 30012
 
4.2%
d 30004
 
4.2%
r 30000
 
4.2%
1 26930
 
3.7%
Other values (49) 322089
44.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 420084
58.3%
Decimal Number 145924
 
20.3%
Other Punctuation 90012
 
12.5%
Uppercase Letter 54088
 
7.5%
Math Symbol 10000
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 11321
20.9%
N 10101
18.7%
R 10057
18.6%
D 10038
18.6%
A 10024
18.5%
J 1411
 
2.6%
F 192
 
0.4%
C 123
 
0.2%
M 111
 
0.2%
X 111
 
0.2%
Other values (16) 599
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
t 60004
14.3%
e 50008
11.9%
w 50004
11.9%
o 40008
9.5%
d 30004
 
7.1%
r 30000
 
7.1%
h 20008
 
4.8%
p 20008
 
4.8%
a 20004
 
4.8%
i 20004
 
4.8%
Other values (8) 80032
19.1%
Decimal Number
ValueCountFrequency (%)
0 41049
28.1%
1 26930
18.5%
2 21429
14.7%
4 19838
13.6%
5 16133
 
11.1%
3 7540
 
5.2%
6 3734
 
2.6%
7 3664
 
2.5%
8 3311
 
2.3%
9 2296
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 40000
44.4%
/ 30012
33.3%
? 10000
 
11.1%
: 10000
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 474172
65.8%
Common 245936
34.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 60004
12.7%
e 50008
 
10.5%
w 50004
 
10.5%
o 40008
 
8.4%
d 30004
 
6.3%
r 30000
 
6.3%
h 20008
 
4.2%
p 20008
 
4.2%
a 20004
 
4.2%
i 20004
 
4.2%
Other values (34) 134120
28.3%
Common
ValueCountFrequency (%)
0 41049
16.7%
. 40000
16.3%
/ 30012
12.2%
1 26930
11.0%
2 21429
8.7%
4 19838
8.1%
5 16133
 
6.6%
? 10000
 
4.1%
= 10000
 
4.1%
: 10000
 
4.1%
Other values (5) 20545
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 60004
 
8.3%
e 50008
 
6.9%
w 50004
 
6.9%
0 41049
 
5.7%
o 40008
 
5.6%
. 40000
 
5.6%
/ 30012
 
4.2%
d 30004
 
4.2%
r 30000
 
4.2%
1 26930
 
3.7%
Other values (49) 322089
44.7%

근무지 우편주소
Real number (ℝ)

Distinct3110
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14606.562
Minimum10000
Maximum18635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T20:49:42.932159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10077
Q112128
median14926
Q317382
95-th percentile18554
Maximum18635
Range8635
Interquartile range (IQR)5254

Descriptive statistics

Standard deviation2839.8653
Coefficient of variation (CV)0.19442393
Kurtosis-1.3520771
Mean14606.562
Median Absolute Deviation (MAD)2598
Skewness-0.094329879
Sum1.4606562 × 108
Variance8064835
MonotonicityNot monotonic
2024-05-10T20:49:43.480779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10049 43
 
0.4%
18255 38
 
0.4%
18583 38
 
0.4%
18541 38
 
0.4%
18624 36
 
0.4%
10029 36
 
0.4%
18543 35
 
0.4%
10048 33
 
0.3%
15116 28
 
0.3%
18574 28
 
0.3%
Other values (3100) 9647
96.5%
ValueCountFrequency (%)
10000 2
 
< 0.1%
10003 10
0.1%
10005 2
 
< 0.1%
10008 7
0.1%
10009 15
0.1%
10010 7
0.1%
10011 16
0.2%
10012 7
0.1%
10013 4
 
< 0.1%
10014 3
 
< 0.1%
ValueCountFrequency (%)
18635 2
 
< 0.1%
18634 4
 
< 0.1%
18633 20
0.2%
18632 2
 
< 0.1%
18631 4
 
< 0.1%
18630 15
0.1%
18629 5
 
0.1%
18628 16
0.2%
18627 13
0.1%
18626 13
0.1%

근무지 기본주소
Text

Distinct8141
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-10T20:49:44.063252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length20.4844
Min length13

Characters and Unicode

Total characters204844
Distinct characters461
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6831 ?
Unique (%)68.3%

Sample

1st row경기도 여주시 북내면 도예로 361-40
2nd row경기도 시흥시 옥구천서로31번길 38
3rd row경기도 고양시 덕양구 호국로 772
4th row경기도 안산시 단원구 광덕서로 86
5th row경기도 고양시 일산동구 은마길151번길 33
ValueCountFrequency (%)
경기도 10000
 
21.1%
화성시 1441
 
3.0%
시흥시 607
 
1.3%
용인시 605
 
1.3%
김포시 598
 
1.3%
안산시 572
 
1.2%
성남시 535
 
1.1%
평택시 486
 
1.0%
단원구 449
 
0.9%
고양시 447
 
0.9%
Other values (7578) 31748
66.9%
2024-05-10T20:49:45.121431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37490
 
18.3%
시 10574
 
5.2%
기 10545
 
5.1%
도 10489
 
5.1%
경 10264
 
5.0%
로 8549
 
4.2%
1 7993
 
3.9%
2 5557
 
2.7%
길 4679
 
2.3%
3 4314
 
2.1%
Other values (451) 94390
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125524
61.3%
Decimal Number 38835
 
19.0%
Space Separator 37490
 
18.3%
Dash Punctuation 2977
 
1.5%
Other Punctuation 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10574
 
8.4%
기 10545
 
8.4%
도 10489
 
8.4%
경 10264
 
8.2%
로 8549
 
6.8%
길 4679
 
3.7%
구 3388
 
2.7%
번 3054
 
2.4%
성 2789
 
2.2%
면 2371
 
1.9%
Other values (438) 58822
46.9%
Decimal Number
ValueCountFrequency (%)
1 7993
20.6%
2 5557
14.3%
3 4314
11.1%
4 3653
9.4%
5 3458
8.9%
6 3129
 
8.1%
7 2858
 
7.4%
0 2786
 
7.2%
8 2557
 
6.6%
9 2530
 
6.5%
Space Separator
ValueCountFrequency (%)
37490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2977
100.0%
Other Punctuation
ValueCountFrequency (%)
. 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125524
61.3%
Common 79320
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10574
 
8.4%
기 10545
 
8.4%
도 10489
 
8.4%
경 10264
 
8.2%
로 8549
 
6.8%
길 4679
 
3.7%
구 3388
 
2.7%
번 3054
 
2.4%
성 2789
 
2.2%
면 2371
 
1.9%
Other values (438) 58822
46.9%
Common
ValueCountFrequency (%)
37490
47.3%
1 7993
 
10.1%
2 5557
 
7.0%
3 4314
 
5.4%
4 3653
 
4.6%
5 3458
 
4.4%
6 3129
 
3.9%
- 2977
 
3.8%
7 2858
 
3.6%
0 2786
 
3.5%
Other values (3) 5105
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125524
61.3%
ASCII 79320
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37490
47.3%
1 7993
 
10.1%
2 5557
 
7.0%
3 4314
 
5.4%
4 3653
 
4.6%
5 3458
 
4.4%
6 3129
 
3.9%
- 2977
 
3.8%
7 2858
 
3.6%
0 2786
 
3.5%
Other values (3) 5105
 
6.4%
Hangul
ValueCountFrequency (%)
시 10574
 
8.4%
기 10545
 
8.4%
도 10489
 
8.4%
경 10264
 
8.2%
로 8549
 
6.8%
길 4679
 
3.7%
구 3388
 
2.7%
번 3054
 
2.4%
성 2789
 
2.2%
면 2371
 
1.9%
Other values (438) 58822
46.9%

근무지 상세주소
Text

MISSING 

Distinct3844
Distinct (%)68.8%
Missing4413
Missing (%)44.1%
Memory size156.2 KiB
2024-05-10T20:49:45.685305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length43
Mean length7.411133
Min length1

Characters and Unicode

Total characters41406
Distinct characters711
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3359 ?
Unique (%)60.1%

Sample

1st row..
2nd row태화상운주식회사
3rd row713호
4th row핸즈식스
5th row환인제약 안성공장
ValueCountFrequency (%)
432
 
5.0%
1층 341
 
3.9%
2층 237
 
2.7%
3층 158
 
1.8%
4층 96
 
1.1%
주식회사 82
 
0.9%
5층 56
 
0.6%
a동 53
 
0.6%
내 50
 
0.6%
b동 46
 
0.5%
Other values (4578) 7092
82.1%
2024-05-10T20:49:46.854054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3124
 
7.5%
1 2298
 
5.5%
0 1638
 
4.0%
호 1422
 
3.4%
2 1249
 
3.0%
층 1194
 
2.9%
동 1079
 
2.6%
3 946
 
2.3%
) 739
 
1.8%
( 738
 
1.8%
Other values (701) 26979
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25449
61.5%
Decimal Number 8952
 
21.6%
Space Separator 3124
 
7.5%
Other Punctuation 1120
 
2.7%
Close Punctuation 740
 
1.8%
Open Punctuation 740
 
1.8%
Uppercase Letter 708
 
1.7%
Dash Punctuation 342
 
0.8%
Lowercase Letter 160
 
0.4%
Math Symbol 60
 
0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 1422
 
5.6%
층 1194
 
4.7%
동 1079
 
4.2%
주 712
 
2.8%
이 587
 
2.3%
스 505
 
2.0%
지 494
 
1.9%
리 449
 
1.8%
원 415
 
1.6%
아 340
 
1.3%
Other values (625) 18252
71.7%
Uppercase Letter
ValueCountFrequency (%)
B 121
17.1%
C 101
14.3%
A 97
13.7%
S 45
 
6.4%
K 35
 
4.9%
T 33
 
4.7%
D 32
 
4.5%
G 30
 
4.2%
I 27
 
3.8%
E 26
 
3.7%
Other values (15) 161
22.7%
Lowercase Letter
ValueCountFrequency (%)
c 17
 
10.6%
e 14
 
8.8%
s 14
 
8.8%
m 13
 
8.1%
p 11
 
6.9%
h 10
 
6.2%
k 9
 
5.6%
a 9
 
5.6%
b 8
 
5.0%
n 8
 
5.0%
Other values (11) 47
29.4%
Decimal Number
ValueCountFrequency (%)
1 2298
25.7%
0 1638
18.3%
2 1249
14.0%
3 946
10.6%
4 678
 
7.6%
5 566
 
6.3%
7 472
 
5.3%
6 451
 
5.0%
8 351
 
3.9%
9 303
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 583
52.1%
. 449
40.1%
* 55
 
4.9%
/ 22
 
2.0%
& 3
 
0.3%
: 3
 
0.3%
' 2
 
0.2%
@ 2
 
0.2%
· 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 739
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 738
99.7%
[ 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 59
98.3%
+ 1
 
1.7%
Space Separator
ValueCountFrequency (%)
3124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%
Other Symbol
ValueCountFrequency (%)
☞ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25447
61.5%
Common 15088
36.4%
Latin 869
 
2.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 1422
 
5.6%
층 1194
 
4.7%
동 1079
 
4.2%
주 712
 
2.8%
이 587
 
2.3%
스 505
 
2.0%
지 494
 
1.9%
리 449
 
1.8%
원 415
 
1.6%
아 340
 
1.3%
Other values (624) 18250
71.7%
Latin
ValueCountFrequency (%)
B 121
 
13.9%
C 101
 
11.6%
A 97
 
11.2%
S 45
 
5.2%
K 35
 
4.0%
T 33
 
3.8%
D 32
 
3.7%
G 30
 
3.5%
I 27
 
3.1%
E 26
 
3.0%
Other values (37) 322
37.1%
Common
ValueCountFrequency (%)
3124
20.7%
1 2298
15.2%
0 1638
10.9%
2 1249
 
8.3%
3 946
 
6.3%
) 739
 
4.9%
( 738
 
4.9%
4 678
 
4.5%
, 583
 
3.9%
5 566
 
3.8%
Other values (19) 2529
16.8%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25446
61.5%
ASCII 15950
38.5%
Misc Symbols 5
 
< 0.1%
CJK 2
 
< 0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3124
19.6%
1 2298
14.4%
0 1638
10.3%
2 1249
 
7.8%
3 946
 
5.9%
) 739
 
4.6%
( 738
 
4.6%
4 678
 
4.3%
, 583
 
3.7%
5 566
 
3.5%
Other values (63) 3391
21.3%
Hangul
ValueCountFrequency (%)
호 1422
 
5.6%
층 1194
 
4.7%
동 1079
 
4.2%
주 712
 
2.8%
이 587
 
2.3%
스 505
 
2.0%
지 494
 
1.9%
리 449
 
1.8%
원 415
 
1.6%
아 340
 
1.3%
Other values (623) 18249
71.7%
Misc Symbols
ValueCountFrequency (%)
☞ 5
100.0%
CJK
ValueCountFrequency (%)
內 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

고용형태
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기간의 정함이 없는 근로계약
7111 
기간의 정함이 있는 근로계약
1668 
기간의 정함이 없는 근로계약(시간(선택)제)
1019 
기간의 정함이 있는 근로계약(시간(선택)제)
 
202

Length

Max length24
Median length15
Mean length16.0989
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기간의 정함이 없는 근로계약
2nd row기간의 정함이 없는 근로계약
3rd row기간의 정함이 없는 근로계약
4th row기간의 정함이 없는 근로계약
5th row기간의 정함이 없는 근로계약

Common Values

ValueCountFrequency (%)
기간의 정함이 없는 근로계약 7111
71.1%
기간의 정함이 있는 근로계약 1668
 
16.7%
기간의 정함이 없는 근로계약(시간(선택)제) 1019
 
10.2%
기간의 정함이 있는 근로계약(시간(선택)제) 202
 
2.0%

Length

2024-05-10T20:49:47.260987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:49:47.587423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기간의 10000
25.0%
정함이 10000
25.0%
근로계약 8779
21.9%
없는 8130
20.3%
있는 1870
 
4.7%
근로계약(시간(선택)제 1221
 
3.1%

직종명
Text

Distinct724
Distinct (%)7.2%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2024-05-10T20:49:48.114574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31
Mean length12.725635
Min length2

Characters and Unicode

Total characters127180
Distinct characters431
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)1.6%

Sample

1st row간호사
2nd row섬유·의복 분야 단순 종사원
3rd row건축설비 기술자
4th row회계 사무원(회계·세무 사무소)
5th row고무 사출성형기 조작원
ValueCountFrequency (%)
및 1192
 
4.4%
재가 988
 
3.6%
요양보호사 981
 
3.6%
종사원 942
 
3.5%
조작원 910
 
3.3%
단순 873
 
3.2%
사무원 846
 
3.1%
제조 550
 
2.0%
포함 510
 
1.9%
기타 509
 
1.9%
Other values (949) 18989
69.6%
2024-05-10T20:49:49.159064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17296
 
13.6%
원 8323
 
6.5%
사 6653
 
5.2%
· 3897
 
3.1%
기 3469
 
2.7%
( 3146
 
2.5%
) 3146
 
2.5%
조 3093
 
2.4%
무 2190
 
1.7%
보 2074
 
1.6%
Other values (421) 73893
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97027
76.3%
Space Separator 17296
 
13.6%
Other Punctuation 5575
 
4.4%
Open Punctuation 3146
 
2.5%
Close Punctuation 3146
 
2.5%
Uppercase Letter 954
 
0.8%
Lowercase Letter 18
 
< 0.1%
Dash Punctuation 17
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 8323
 
8.6%
사 6653
 
6.9%
기 3469
 
3.6%
조 3093
 
3.2%
무 2190
 
2.3%
보 2074
 
2.1%
양 1929
 
2.0%
요 1914
 
2.0%
품 1722
 
1.8%
전 1675
 
1.7%
Other values (385) 63985
65.9%
Uppercase Letter
ValueCountFrequency (%)
C 392
41.1%
N 172
18.0%
M 116
 
12.2%
T 113
 
11.8%
S 44
 
4.6%
D 31
 
3.2%
A 22
 
2.3%
I 19
 
2.0%
B 13
 
1.4%
P 11
 
1.2%
Other values (11) 21
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
n 4
22.2%
r 2
11.1%
l 2
11.1%
i 2
11.1%
g 2
11.1%
a 2
11.1%
Other Punctuation
ValueCountFrequency (%)
· 3897
69.9%
, 1662
29.8%
/ 16
 
0.3%
Space Separator
ValueCountFrequency (%)
17296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97027
76.3%
Common 29181
 
22.9%
Latin 972
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 8323
 
8.6%
사 6653
 
6.9%
기 3469
 
3.6%
조 3093
 
3.2%
무 2190
 
2.3%
보 2074
 
2.1%
양 1929
 
2.0%
요 1914
 
2.0%
품 1722
 
1.8%
전 1675
 
1.7%
Other values (385) 63985
65.9%
Latin
ValueCountFrequency (%)
C 392
40.3%
N 172
17.7%
M 116
 
11.9%
T 113
 
11.6%
S 44
 
4.5%
D 31
 
3.2%
A 22
 
2.3%
I 19
 
2.0%
B 13
 
1.3%
P 11
 
1.1%
Other values (18) 39
 
4.0%
Common
ValueCountFrequency (%)
17296
59.3%
· 3897
 
13.4%
( 3146
 
10.8%
) 3146
 
10.8%
, 1662
 
5.7%
- 17
 
0.1%
/ 16
 
0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97027
76.3%
ASCII 26256
 
20.6%
None 3897
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17296
65.9%
( 3146
 
12.0%
) 3146
 
12.0%
, 1662
 
6.3%
C 392
 
1.5%
N 172
 
0.7%
M 116
 
0.4%
T 113
 
0.4%
S 44
 
0.2%
D 31
 
0.1%
Other values (25) 138
 
0.5%
Hangul
ValueCountFrequency (%)
원 8323
 
8.6%
사 6653
 
6.9%
기 3469
 
3.6%
조 3093
 
3.2%
무 2190
 
2.3%
보 2074
 
2.1%
양 1929
 
2.0%
요 1914
 
2.0%
품 1722
 
1.8%
전 1675
 
1.7%
Other values (385) 63985
65.9%
None
ValueCountFrequency (%)
· 3897
100.0%

최종수정일자
Real number (ℝ)

Distinct7171
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0240433 × 1011
Minimum2.0240311 × 1011
Maximum2.0240508 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-10T20:49:49.564696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0240311 × 1011
5-th percentile2.0240319 × 1011
Q12.0240411 × 1011
median2.0240424 × 1011
Q32.0240502 × 1011
95-th percentile2.0240508 × 1011
Maximum2.0240508 × 1011
Range1971179
Interquartile range (IQR)910687

Descriptive statistics

Standard deviation596758.07
Coefficient of variation (CV)2.9483464 × 10-6
Kurtosis-0.55178077
Mean2.0240433 × 1011
Median Absolute Deviation (MAD)209931.5
Skewness-0.36144105
Sum2.0240433 × 1015
Variance3.561202 × 1011
MonotonicityNot monotonic
2024-05-10T20:49:50.033738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202405071111 7
 
0.1%
202405081656 7
 
0.1%
202405071650 7
 
0.1%
202404300916 6
 
0.1%
202405081654 6
 
0.1%
202405071644 6
 
0.1%
202405080922 6
 
0.1%
202405081516 6
 
0.1%
202405021019 6
 
0.1%
202405071029 6
 
0.1%
Other values (7161) 9937
99.4%
ValueCountFrequency (%)
202403110950 1
< 0.1%
202403110959 1
< 0.1%
202403111001 1
< 0.1%
202403111007 1
< 0.1%
202403111017 1
< 0.1%
202403111022 1
< 0.1%
202403111029 1
< 0.1%
202403111037 1
< 0.1%
202403111047 1
< 0.1%
202403111048 1
< 0.1%
ValueCountFrequency (%)
202405082129 1
 
< 0.1%
202405081936 1
 
< 0.1%
202405081919 1
 
< 0.1%
202405081838 1
 
< 0.1%
202405081829 1
 
< 0.1%
202405081824 1
 
< 0.1%
202405081819 1
 
< 0.1%
202405081801 1
 
< 0.1%
202405081759 3
< 0.1%
202405081758 2
< 0.1%

Sample

등록일자시군명회사명채용공고명임금형태급여최소임금액최대임금액근무지역근무형태최소학력최대학력경력마감일자정보제공출처명워크넷 채용정보 URL근무지 우편주소근무지 기본주소근무지 상세주소고용형태직종명최종수정일자
34802024-05-03여주시시애노병원부설전문요양센터간호사 모집합니다.월급250만원 ~ 300만원25000003000000경기 여주시주5일근무학력무관<NA>관계없음2024-05-31워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15169240503001112613경기도 여주시 북내면 도예로 361-40<NA>기간의 정함이 없는 근로계약간호사202405031126
131192024-04-12시흥시주식회사신창글로텍섬유 염색 가공 업체 직원 모집시급9860원98600경기 시흥시주5일근무학력무관<NA>관계없음채용시까지 2024-06-10워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15141240412003315100경기도 시흥시 옥구천서로31번길 38<NA>기간의 정함이 없는 근로계약섬유·의복 분야 단순 종사원202404121359
97822024-04-22고양시태영종합설비(주)기계설비 및 소방설비 본사 공사 및 공무 직원 구...월급250만원 ~ 300만원25000003000000경기 고양시 덕양구주5일근무학력무관<NA>관계없음채용시까지 2024-06-21워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15181240422004010464경기도 고양시 덕양구 호국로 772<NA>기간의 정함이 없는 근로계약건축설비 기술자202404221234
190922024-03-13안산시세무법인대일세무사 사무실 직원 채용연봉2500만원250000000경기 안산시 단원구주5일근무학력무관<NA>경력채용시까지 2024-05-11워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15142240313001915471경기도 안산시 단원구 광덕서로 86<NA>기간의 정함이 없는 근로계약회계 사무원(회계·세무 사무소)202403131012
97972024-04-22고양시주식회사아티콜로고무생산기계조작원 모집월급206만원20607400경기 고양시 일산동구주5일근무학력무관<NA>관계없음채용시까지 2024-06-18워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15181240422001010252경기도 고양시 일산동구 은마길151번길 33<NA>기간의 정함이 없는 근로계약고무 사출성형기 조작원202404221003
73552024-04-26부천시경남산업 주식회사영업사원 정규사원을 모집합니다.월급300만원 ~ 330만원30000003300000경기 부천시 오정구주6일근무학력무관<NA>신입채용시까지 2024-05-25워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15123240426003014447경기도 부천시 오정구 오정로 106<NA>기간의 정함이 없는 근로계약자동차 영업원202404261634
28862024-05-03고양시(주)농협하나로유통농협고양유통센터고양유통센터 장애인 채용시급9860원98600경기 고양시 일산서구주5일근무학력무관<NA>관계없음2024-05-12워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15181240503002610226경기도 고양시 일산서구 대화로 362<NA>기간의 정함이 있는 근로계약상품 진열원202405031203
23802024-05-07의정부시새봄방문요양센터치매교육이수하신 요양보호사님 모집시급12400원124000경기 의정부시주5일근무학력무관<NA>관계없음채용시까지 2024-05-21워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=KJKZ00240507001511749경기도 의정부시 동일로681번길 22-7..기간의 정함이 없는 근로계약재가 간병인202405071515
44582024-05-02안산시태화상운(주)소형/중형/대형버스 운전직 모집연봉6000만원600000000경기 안산시 단원구<NA>학력무관<NA>경력2024-07-01워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=KJKP00240502000615611경기도 안산시 단원구 산단로19번길 5태화상운주식회사기간의 정함이 없는 근로계약노선버스 운전원(시내, 마을, 시외, 고속)202405021007
46492024-05-02용인시주식회사 푸른누리회계 및 경영지원 담당업무 경력자 구함(3년이상)월급250만원 ~ 250만원25000002500000경기 용인시 기흥구주5일근무학력무관<NA>경력2024-07-01워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15113240502005217015경기도 용인시 기흥구 동백중앙로16번길 16-25713호기간의 정함이 없는 근로계약회계 사무원(일반 사업체)202405021608
등록일자시군명회사명채용공고명임금형태급여최소임금액최대임금액근무지역근무형태최소학력최대학력경력마감일자정보제공출처명워크넷 채용정보 URL근무지 우편주소근무지 기본주소근무지 상세주소고용형태직종명최종수정일자
30762024-05-03동두천시(주)마니커동두천지점공정 OP 채용 (기계조작 및 설비관리)연봉3690만원369000000경기 동두천시주6일근무학력무관<NA>관계없음2024-06-30워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15155240503000811300경기도 동두천시 승전로 6마니커 동두천 공장기간의 정함이 없는 근로계약식품기계 설치·정비원202405031115
74752024-04-26안산시(주)미래인더스철구조물공사업 경력직 채용(공사, 공무)연봉4500만원 ~ 6500만원4500000065000000경기 안산시 단원구주5일근무학력무관<NA>경력채용시까지 2024-06-24워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15142240426000215477경기도 안산시 단원구 광덕2로 194-4<NA>기간의 정함이 없는 근로계약건축시공 기술자(건축견적, 공무포함)202404260843
173042024-03-25양평군은봉(EUN.BONG)양평하나로마트 주말오전 알바구합니다시급10000원 ~ 10000원1000010000경기 양평군<NA>학력무관<NA>관계없음채용시까지 2024-05-21워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=KJKT00240325000212559경기도 양평군 양평읍 남북로 96베이커리기간의 정함이 있는 근로계약(시간(선택)제)기타 판매 단순 종사원202403250858
130092024-04-12김포시해강산업(주)단순 페인트 작업자 모집합니다.월급230만원23000000경기 김포시주5일근무학력무관<NA>관계없음채용시까지 2024-06-11워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15122240412006210040경기도 김포시 대곶면 율생중앙로169번길 71<NA>기간의 정함이 없는 근로계약제조 단순 종사원202404121457
99602024-04-22성남시그린코리아주식회사[성남시 운중동] 아파트 외곽 미화원 모집월급162만원16250000경기 성남시 분당구주5일근무학력무관<NA>관계없음채용시까지 2024-06-21워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=KJKN00240422000813456경기도 성남시 분당구 산운로 55☞ 운중초등학교 부근기간의 정함이 없는 근로계약(시간(선택)제)건물 청소원(공공건물,아파트,사무실,병원,상가,공장 등)202404221228
99682024-04-22성남시다이닝테이블[다이닝테이블 김영모] 키친부 브런치 쉐프 주말근...시급12000원120000경기 성남시 수정구<NA>학력무관<NA>경력채용시까지 2024-05-22워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15163240422006313445경기도 성남시 수정구 설개로14번길 2581-6,81-10,75-6,75-9기간의 정함이 없는 근로계약주방장 및 요리 연구가(푸드코디네이터 포함)202404251028
39512024-05-02고양시대진에스컴(주)수목치료기술자월급280만원28000000경기 고양시 일산서구주5일근무학력무관<NA>경력채용시까지 2024-06-30워크넷인증http://www.work.go.kr/empDetailRedirect.do?wantedAuthNo=K15181240502002710369경기도 고양시 일산서구 웅비로12번길 201동기간의 정함이 없는 근로계약조경원202405021127
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