Overview

Dataset statistics

Number of variables8
Number of observations1111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.7 KiB
Average record size in memory65.1 B

Variable types

Numeric1
DateTime2
Text4
Categorical1

Dataset

Description국방전직교육원에서 제공하는 취업, 일자리 정보입니다. 채용업체, 채용기간, 채용일자, 모집직종 등의 정보를 담고 있습니다.
Author국방전직교육원
URLhttps://www.data.go.kr/data/15104574/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:25:39.654772
Analysis finished2023-12-12 03:25:41.136427
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean570.39874
Minimum1
Maximum1128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T12:25:41.276714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile56.5
Q1295.5
median573
Q3850.5
95-th percentile1072.5
Maximum1128
Range1127
Interquartile range (IQR)555

Descriptive statistics

Standard deviation324.71549
Coefficient of variation (CV)0.56927805
Kurtosis-1.1788225
Mean570.39874
Median Absolute Deviation (MAD)278
Skewness-0.028916708
Sum633713
Variance105440.15
MonotonicityStrictly increasing
2023-12-12T12:25:41.477188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
757 1
 
0.1%
763 1
 
0.1%
762 1
 
0.1%
761 1
 
0.1%
760 1
 
0.1%
759 1
 
0.1%
758 1
 
0.1%
756 1
 
0.1%
748 1
 
0.1%
Other values (1101) 1101
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1128 1
0.1%
1127 1
0.1%
1126 1
0.1%
1125 1
0.1%
1124 1
0.1%
1123 1
0.1%
1122 1
0.1%
1121 1
0.1%
1120 1
0.1%
1119 1
0.1%

등록일자
Date

Distinct154
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum2022-01-04 00:00:00
Maximum2022-09-20 00:00:00
2023-12-12T12:25:41.672040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:25:41.835454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업체명
Text

Distinct961
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-12T12:25:42.139952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.9558956
Min length2

Characters and Unicode

Total characters8839
Distinct characters507
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

Unique865 ?
Unique (%)77.9%

Sample

1st row(재)한국주차안전기술원
2nd row한국교육방송공사(EBS)
3rd row한국야쿠르트
4th row시영운수(주)
5th row(주)리치니스
ValueCountFrequency (%)
주식회사 41
 
3.3%
주)프로에스콤 14
 
1.1%
주)마르센 9
 
0.7%
공우이엔씨(주 9
 
0.7%
주)홍익에이드 5
 
0.4%
주)한국파비스제약 5
 
0.4%
한민고등학교 5
 
0.4%
재향군인회 4
 
0.3%
국방부근무지원단 4
 
0.3%
한국디지털미디어고등학교 4
 
0.3%
Other values (1003) 1139
91.9%
2023-12-12T12:25:42.717065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 689
 
7.8%
( 638
 
7.2%
) 638
 
7.2%
스 279
 
3.2%
이 208
 
2.4%
151
 
1.7%
사 141
 
1.6%
리 141
 
1.6%
대 129
 
1.5%
에 116
 
1.3%
Other values (497) 5709
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7204
81.5%
Open Punctuation 638
 
7.2%
Close Punctuation 638
 
7.2%
Uppercase Letter 153
 
1.7%
Space Separator 151
 
1.7%
Decimal Number 20
 
0.2%
Lowercase Letter 15
 
0.2%
Other Punctuation 12
 
0.1%
Other Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 689
 
9.6%
스 279
 
3.9%
이 208
 
2.9%
사 141
 
2.0%
리 141
 
2.0%
대 129
 
1.8%
에 116
 
1.6%
한 114
 
1.6%
원 113
 
1.6%
국 112
 
1.6%
Other values (450) 5162
71.7%
Uppercase Letter
ValueCountFrequency (%)
S 19
12.4%
C 15
 
9.8%
L 14
 
9.2%
G 12
 
7.8%
N 10
 
6.5%
P 10
 
6.5%
K 8
 
5.2%
E 8
 
5.2%
I 8
 
5.2%
B 8
 
5.2%
Other values (11) 41
26.8%
Lowercase Letter
ValueCountFrequency (%)
o 2
13.3%
a 2
13.3%
e 2
13.3%
i 2
13.3%
n 2
13.3%
s 1
6.7%
p 1
6.7%
l 1
6.7%
y 1
6.7%
r 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 4
20.0%
5 4
20.0%
9 3
15.0%
2 3
15.0%
0 2
10.0%
8 1
 
5.0%
6 1
 
5.0%
3 1
 
5.0%
7 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
& 7
58.3%
. 4
33.3%
/ 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 638
100.0%
Close Punctuation
ValueCountFrequency (%)
) 638
100.0%
Space Separator
ValueCountFrequency (%)
151
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7212
81.6%
Common 1459
 
16.5%
Latin 168
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 689
 
9.6%
스 279
 
3.9%
이 208
 
2.9%
사 141
 
2.0%
리 141
 
2.0%
대 129
 
1.8%
에 116
 
1.6%
한 114
 
1.6%
원 113
 
1.6%
국 112
 
1.6%
Other values (451) 5170
71.7%
Latin
ValueCountFrequency (%)
S 19
 
11.3%
C 15
 
8.9%
L 14
 
8.3%
G 12
 
7.1%
N 10
 
6.0%
P 10
 
6.0%
K 8
 
4.8%
E 8
 
4.8%
I 8
 
4.8%
B 8
 
4.8%
Other values (21) 56
33.3%
Common
ValueCountFrequency (%)
( 638
43.7%
) 638
43.7%
151
 
10.3%
& 7
 
0.5%
. 4
 
0.3%
1 4
 
0.3%
5 4
 
0.3%
9 3
 
0.2%
2 3
 
0.2%
0 2
 
0.1%
Other values (5) 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7204
81.5%
ASCII 1627
 
18.4%
None 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 689
 
9.6%
스 279
 
3.9%
이 208
 
2.9%
사 141
 
2.0%
리 141
 
2.0%
대 129
 
1.8%
에 116
 
1.6%
한 114
 
1.6%
원 113
 
1.6%
국 112
 
1.6%
Other values (450) 5162
71.7%
ASCII
ValueCountFrequency (%)
( 638
39.2%
) 638
39.2%
151
 
9.3%
S 19
 
1.2%
C 15
 
0.9%
L 14
 
0.9%
G 12
 
0.7%
N 10
 
0.6%
P 10
 
0.6%
K 8
 
0.5%
Other values (36) 112
 
6.9%
None
ValueCountFrequency (%)
㈜ 8
100.0%

지역
Text

Distinct71
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-12T12:25:43.047860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.1611161
Min length2

Characters and Unicode

Total characters2401
Distinct characters44
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

Unique46 ?
Unique (%)4.1%

Sample

1st row서울
2nd row전국
3rd row수도권
4th row인천
5th row경기
ValueCountFrequency (%)
경기 343
30.8%
서울 263
23.7%
강원 98
 
8.8%
전국 48
 
4.3%
충남 38
 
3.4%
경남 35
 
3.1%
인천 33
 
3.0%
충북 31
 
2.8%
경북 29
 
2.6%
대전 26
 
2.3%
Other values (54) 168
15.1%
2023-12-12T12:25:43.556965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 437
18.2%
기 369
15.4%
울 288
12.0%
서 282
11.7%
전 105
 
4.4%
원 103
 
4.3%
강 102
 
4.2%
남 95
 
4.0%
북 80
 
3.3%
충 75
 
3.1%
Other values (34) 465
19.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2347
97.8%
Other Punctuation 46
 
1.9%
Space Separator 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 437
18.6%
기 369
15.7%
울 288
12.3%
서 282
12.0%
전 105
 
4.5%
원 103
 
4.4%
강 102
 
4.3%
남 95
 
4.0%
북 80
 
3.4%
충 75
 
3.2%
Other values (31) 411
17.5%
Other Punctuation
ValueCountFrequency (%)
/ 45
97.8%
, 1
 
2.2%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2347
97.8%
Common 54
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 437
18.6%
기 369
15.7%
울 288
12.3%
서 282
12.0%
전 105
 
4.5%
원 103
 
4.4%
강 102
 
4.3%
남 95
 
4.0%
북 80
 
3.4%
충 75
 
3.2%
Other values (31) 411
17.5%
Common
ValueCountFrequency (%)
/ 45
83.3%
8
 
14.8%
, 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2347
97.8%
ASCII 54
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 437
18.6%
기 369
15.7%
울 288
12.3%
서 282
12.0%
전 105
 
4.5%
원 103
 
4.4%
강 102
 
4.3%
남 95
 
4.0%
북 80
 
3.4%
충 75
 
3.2%
Other values (31) 411
17.5%
ASCII
ValueCountFrequency (%)
/ 45
83.3%
8
 
14.8%
, 1
 
1.9%

제목
Text

Distinct1100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-12T12:25:43.889436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length35
Mean length22.919892
Min length10

Characters and Unicode

Total characters25464
Distinct characters606
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1092 ?
Unique (%)98.3%

Sample

1st row 한국주차안전기술원 기계식주차장 검사원 신입 채용
2nd row 2022년도 한국교육방송공사(EBS) 신입 및 경력직 채용
3rd row 한국야쿠르트 프레시매니저(50+재단) 채용
4th row 시영운수(주) 노무과 직원 채용
5th row (주)리치니스 품질관리직 채용
ValueCountFrequency (%)
채용 1003
 
20.3%
및 138
 
2.8%
직원 65
 
1.3%
추천채용 56
 
1.1%
신입 46
 
0.9%
주식회사 37
 
0.7%
사무직 34
 
0.7%
사원 29
 
0.6%
생산직 28
 
0.6%
담당자 26
 
0.5%
Other values (2427) 3484
70.4%
2023-12-12T12:25:44.885397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4057
 
15.9%
용 1133
 
4.4%
채 1114
 
4.4%
( 761
 
3.0%
) 760
 
3.0%
주 727
 
2.9%
원 524
 
2.1%
직 515
 
2.0%
리 485
 
1.9%
사 474
 
1.9%
Other values (596) 14914
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18909
74.3%
Space Separator 4057
 
15.9%
Open Punctuation 761
 
3.0%
Close Punctuation 760
 
3.0%
Uppercase Letter 396
 
1.6%
Decimal Number 278
 
1.1%
Other Punctuation 176
 
0.7%
Lowercase Letter 113
 
0.4%
Other Symbol 6
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 1133
 
6.0%
채 1114
 
5.9%
주 727
 
3.8%
원 524
 
2.8%
직 515
 
2.7%
리 485
 
2.6%
사 474
 
2.5%
관 398
 
2.1%
기 329
 
1.7%
스 324
 
1.7%
Other values (526) 12886
68.1%
Uppercase Letter
ValueCountFrequency (%)
C 44
 
11.1%
S 43
 
10.9%
T 29
 
7.3%
P 27
 
6.8%
I 26
 
6.6%
M 26
 
6.6%
G 23
 
5.8%
D 23
 
5.8%
L 21
 
5.3%
A 20
 
5.1%
Other values (15) 114
28.8%
Lowercase Letter
ValueCountFrequency (%)
r 14
12.4%
e 12
10.6%
s 12
10.6%
a 12
10.6%
o 10
 
8.8%
n 8
 
7.1%
i 6
 
5.3%
l 5
 
4.4%
t 4
 
3.5%
c 4
 
3.5%
Other values (11) 26
23.0%
Decimal Number
ValueCountFrequency (%)
2 147
52.9%
0 45
 
16.2%
5 19
 
6.8%
1 16
 
5.8%
3 15
 
5.4%
9 12
 
4.3%
7 7
 
2.5%
8 7
 
2.5%
6 5
 
1.8%
4 5
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 117
66.5%
· 24
 
13.6%
, 17
 
9.7%
& 14
 
8.0%
. 3
 
1.7%
' 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
+ 2
50.0%
Space Separator
ValueCountFrequency (%)
4057
100.0%
Open Punctuation
ValueCountFrequency (%)
( 761
100.0%
Close Punctuation
ValueCountFrequency (%)
) 760
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18914
74.3%
Common 6040
 
23.7%
Latin 509
 
2.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 1133
 
6.0%
채 1114
 
5.9%
주 727
 
3.8%
원 524
 
2.8%
직 515
 
2.7%
리 485
 
2.6%
사 474
 
2.5%
관 398
 
2.1%
기 329
 
1.7%
스 324
 
1.7%
Other values (526) 12891
68.2%
Latin
ValueCountFrequency (%)
C 44
 
8.6%
S 43
 
8.4%
T 29
 
5.7%
P 27
 
5.3%
I 26
 
5.1%
M 26
 
5.1%
G 23
 
4.5%
D 23
 
4.5%
L 21
 
4.1%
A 20
 
3.9%
Other values (36) 227
44.6%
Common
ValueCountFrequency (%)
4057
67.2%
( 761
 
12.6%
) 760
 
12.6%
2 147
 
2.4%
/ 117
 
1.9%
0 45
 
0.7%
· 24
 
0.4%
5 19
 
0.3%
, 17
 
0.3%
1 16
 
0.3%
Other values (13) 77
 
1.3%
Han
ValueCountFrequency (%)
軍 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18900
74.2%
ASCII 6525
 
25.6%
None 30
 
0.1%
Compat Jamo 8
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4057
62.2%
( 761
 
11.7%
) 760
 
11.6%
2 147
 
2.3%
/ 117
 
1.8%
0 45
 
0.7%
C 44
 
0.7%
S 43
 
0.7%
T 29
 
0.4%
P 27
 
0.4%
Other values (58) 495
 
7.6%
Hangul
ValueCountFrequency (%)
용 1133
 
6.0%
채 1114
 
5.9%
주 727
 
3.8%
원 524
 
2.8%
직 515
 
2.7%
리 485
 
2.6%
사 474
 
2.5%
관 398
 
2.1%
기 329
 
1.7%
스 324
 
1.7%
Other values (524) 12877
68.1%
None
ValueCountFrequency (%)
· 24
80.0%
㈜ 6
 
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 8
100.0%
CJK
ValueCountFrequency (%)
軍 1
100.0%

접수마감일
Date

Distinct250
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum2022-01-09 00:00:00
Maximum2022-12-18 00:00:00
2023-12-12T12:25:45.088169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:25:45.297687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

모집직종
Text

Distinct64
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-12T12:25:45.606916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.6768677
Min length2

Characters and Unicode

Total characters6307
Distinct characters156
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.5%

Sample

1st row기계·기계설비
2nd row방송·미디어·문화
3rd row기타
4th row인사·노무·인재개발
5th row품질관리·품질보증·생산관리
ValueCountFrequency (%)
기타 169
15.0%
시설관리 131
 
11.7%
사무직 95
 
8.5%
경비·경호요원 80
 
7.1%
생산직·기능직 66
 
5.9%
배송·운전 59
 
5.2%
물류·유통·구매 45
 
4.0%
기계·기계설비 42
 
3.7%
영업·영업관리 41
 
3.6%
일반사무·총무 35
 
3.1%
Other values (54) 361
32.1%
2023-12-12T12:25:46.136999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 850
 
13.5%
기 415
 
6.6%
관 298
 
4.7%
리 295
 
4.7%
직 240
 
3.8%
무 221
 
3.5%
경 216
 
3.4%
설 204
 
3.2%
사 188
 
3.0%
타 169
 
2.7%
Other values (146) 3211
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5385
85.4%
Other Punctuation 855
 
13.6%
Uppercase Letter 54
 
0.9%
Space Separator 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 415
 
7.7%
관 298
 
5.5%
리 295
 
5.5%
직 240
 
4.5%
무 221
 
4.1%
경 216
 
4.0%
설 204
 
3.8%
사 188
 
3.5%
타 169
 
3.1%
전 168
 
3.1%
Other values (137) 2971
55.2%
Uppercase Letter
ValueCountFrequency (%)
T 17
31.5%
I 17
31.5%
B 6
 
11.1%
D 6
 
11.1%
R 4
 
7.4%
P 4
 
7.4%
Other Punctuation
ValueCountFrequency (%)
· 850
99.4%
/ 5
 
0.6%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5385
85.4%
Common 868
 
13.8%
Latin 54
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 415
 
7.7%
관 298
 
5.5%
리 295
 
5.5%
직 240
 
4.5%
무 221
 
4.1%
경 216
 
4.0%
설 204
 
3.8%
사 188
 
3.5%
타 169
 
3.1%
전 168
 
3.1%
Other values (137) 2971
55.2%
Latin
ValueCountFrequency (%)
T 17
31.5%
I 17
31.5%
B 6
 
11.1%
D 6
 
11.1%
R 4
 
7.4%
P 4
 
7.4%
Common
ValueCountFrequency (%)
· 850
97.9%
13
 
1.5%
/ 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5385
85.4%
None 850
 
13.5%
ASCII 72
 
1.1%

Most frequent character per block

None
ValueCountFrequency (%)
· 850
100.0%
Hangul
ValueCountFrequency (%)
기 415
 
7.7%
관 298
 
5.5%
리 295
 
5.5%
직 240
 
4.5%
무 221
 
4.1%
경 216
 
4.0%
설 204
 
3.8%
사 188
 
3.5%
타 169
 
3.1%
전 168
 
3.1%
Other values (137) 2971
55.2%
ASCII
ValueCountFrequency (%)
T 17
23.6%
I 17
23.6%
13
18.1%
B 6
 
8.3%
D 6
 
8.3%
/ 5
 
6.9%
R 4
 
5.6%
P 4
 
5.6%

요구대상
Categorical

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
무관
724 
부사관
188 
위관
142 
영관
 
35
병사
 
12
Other values (3)
 
10

Length

Max length3
Median length2
Mean length2.1755176
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
무관 724
65.2%
부사관 188
 
16.9%
위관 142
 
12.8%
영관 35
 
3.2%
병사 12
 
1.1%
준사관 8
 
0.7%
~ 1
 
0.1%
장군 1
 
0.1%

Length

2023-12-12T12:25:46.332682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:25:46.500122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무관 724
65.2%
부사관 188
 
16.9%
위관 142
 
12.8%
영관 35
 
3.2%
병사 12
 
1.1%
준사관 8
 
0.7%
1
 
0.1%
장군 1
 
0.1%

Interactions

2023-12-12T12:25:40.704967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:25:46.620698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지역모집직종요구대상
번호1.0000.2710.3570.360
지역0.2711.0000.7480.000
모집직종0.3570.7481.0000.497
요구대상0.3600.0000.4971.000
2023-12-12T12:25:46.748241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호요구대상
번호1.0000.181
요구대상0.1811.000

Missing values

2023-12-12T12:25:40.882034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:25:41.063437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호등록일자업체명지역제목접수마감일모집직종요구대상
012022-09-20(재)한국주차안전기술원서울한국주차안전기술원 기계식주차장 검사원 신입 채용2022-10-10기계·기계설비무관
122022-09-20한국교육방송공사(EBS)전국2022년도 한국교육방송공사(EBS) 신입 및 경력직 채용2022-09-29방송·미디어·문화무관
232022-09-20한국야쿠르트수도권한국야쿠르트 프레시매니저(50+재단) 채용2022-11-21기타무관
342022-09-20시영운수(주)인천시영운수(주) 노무과 직원 채용2022-10-03인사·노무·인재개발무관
452022-09-20(주)리치니스경기(주)리치니스 품질관리직 채용2022-10-31품질관리·품질보증·생산관리무관
562022-09-20(주)세호경기(주)세호 인쇄 및 종이패키지 영업담당 채용2022-10-19영업·영업관리무관
672022-09-20제일폴리캠(주)세종제일폴리캠(주) 제품입출고(지게차운전원) 채용2022-10-15물류·유통·구매무관
782022-09-20(합)금강위생대전(합)금강위생 건물방역관리 직원 채용2022-10-05환경·안전무관
892022-09-20호산물산(주)서울호산물산(주) 해외영업 담당자 채용2022-09-30영업·영업관리무관
9102022-09-19경창산업경기경창산업 품질보증(품질관리) 경력직 채용2022-12-18품질관리·품질보증·생산관리무관
번호등록일자업체명지역제목접수마감일모집직종요구대상
110111192022-01-11평택시국제교류재단경기평택시국제교류재단 한미협력센터장 채용2022-01-17기타 군관련직영관
110211202022-01-10PPI 파이프(주)경기PPI 파이프(주) 생산직 사원 채용2022-02-09생산직·기능직부사관
110311212022-01-10PPI 파이프(주)경기PPI 파이프(주) 기술영업직 사원 채용2022-02-09기술영업위관
110411222022-01-06서일개발(주)경기서일개발(주) 주택관리전문 행정직 채용2022-01-19사무직위관
110511232022-01-06(주)리딩투어수도권(주)리딩투어 대형학원 통학버스 운송승무원 채용2022-01-19배송·운전부사관
110611242022-01-06(주)캠코시설관리대전(주)캠코시설관리 캠코캐피탈타워 보안업무담당자 채용2022-01-17경비·경호요원부사관
110711252022-01-06(주)이노블록경기(주)이노블록 콘크리트 블록제품 생산직 채용2022-03-04생산직·기능직부사관
110811262022-01-05LG헬로비전경남LG헬로비전 플래그십 스토어 운영사원 채용2022-01-14매장관리·판매위관
110911272022-01-05LG헬로비전전국LG헬로비전 현장영업관리 경력사원 채용2022-01-09영업·영업관리위관
111011282022-01-04국민대학교서울국민대학교 예비군연대 병무지원팀 행정직 채용2022-01-17기타 군관련직위관