Overview

Dataset statistics

Number of variables22
Number of observations5364
Missing cells3394
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory958.7 KiB
Average record size in memory183.0 B

Variable types

Text7
Numeric3
Categorical4
DateTime6
Boolean2

Dataset

Description채용번호, 채용제목, 생산ID, 조사차수, 채용기관ID, 공고유형, 채용문의전화번호, 공고시작일, 공고종료일자, 채용시작일자, 채용종료일자, 첨부파일ID, 공고상태구분, 원채용번호, CSS유형, 채용공고번호, 조회수, 채용심사유형, 등록일, 수정일시, 공고기관부서ID, SMS 수신여부, 일괄모집여부, 공고게시일자
URLhttps://www.data.go.kr/data/15070391/fileData.do

Alerts

공고유형 is highly imbalanced (56.0%)Imbalance
공고상태구분 is highly imbalanced (63.0%)Imbalance
스타일시트(CSS)유형 is highly imbalanced (63.8%)Imbalance
채용심사유형 is highly imbalanced (57.9%)Imbalance
일괄모집여부 is highly imbalanced (71.7%)Imbalance
수정일시 has 3357 (62.6%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:08:32.344679
Analysis finished2023-12-11 23:08:33.263593
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채용번호
Text

Distinct5363
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
2023-12-12T08:08:33.514322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters42912
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

Unique5362 ?
Unique (%)> 99.9%

Sample

1st row2012-026
2nd row2013-006
3rd row2013-001
4th row2013-013
5th row2013-015
ValueCountFrequency (%)
2022-298 2
 
< 0.1%
2022-038 1
 
< 0.1%
2021-362 1
 
< 0.1%
2021-046 1
 
< 0.1%
2020-388 1
 
< 0.1%
2020-212 1
 
< 0.1%
2019-593 1
 
< 0.1%
2022-609 1
 
< 0.1%
2022-325 1
 
< 0.1%
2021-633 1
 
< 0.1%
Other values (5353) 5353
99.8%
2023-12-12T08:08:34.040504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9922
23.1%
0 7997
18.6%
1 6209
14.5%
- 5364
12.5%
4 2423
 
5.6%
5 2144
 
5.0%
3 2092
 
4.9%
9 1776
 
4.1%
6 1770
 
4.1%
7 1730
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37548
87.5%
Dash Punctuation 5364
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9922
26.4%
0 7997
21.3%
1 6209
16.5%
4 2423
 
6.5%
5 2144
 
5.7%
3 2092
 
5.6%
9 1776
 
4.7%
6 1770
 
4.7%
7 1730
 
4.6%
8 1485
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 5364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9922
23.1%
0 7997
18.6%
1 6209
14.5%
- 5364
12.5%
4 2423
 
5.6%
5 2144
 
5.0%
3 2092
 
4.9%
9 1776
 
4.1%
6 1770
 
4.1%
7 1730
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9922
23.1%
0 7997
18.6%
1 6209
14.5%
- 5364
12.5%
4 2423
 
5.6%
5 2144
 
5.0%
3 2092
 
4.9%
9 1776
 
4.1%
6 1770
 
4.1%
7 1730
 
4.0%

채용제목
Text

Distinct5152
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
2023-12-12T08:08:34.339162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length36.381618
Min length1

Characters and Unicode

Total characters195151
Distinct characters329
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4991 ?
Unique (%)93.0%

Sample

1st row2015 인구주택총조사 제1차 시험조사 채용공고
2nd row중소제조업경기전망조사 162회차 채용
3rd row경남관광실태조사(전국조사) 조사원모집
4th row지역별고용조사_32회차(2013년상반기)
5th row로봇산업실태조사_8회차
ValueCountFrequency (%)
공고 3346
 
9.2%
및 3045
 
8.4%
도급조사원 2691
 
7.4%
모집 2062
 
5.7%
기간제근로자 1549
 
4.2%
지역별고용조사 1412
 
3.9%
채용 1120
 
3.1%
하반기 830
 
2.3%
상반기 613
 
1.7%
가계금융복지조사 549
 
1.5%
Other values (2263) 19245
52.8%
2023-12-12T08:08:34.811399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31205
 
16.0%
사 11453
 
5.9%
조 10640
 
5.5%
2 7628
 
3.9%
고 6801
 
3.5%
0 5812
 
3.0%
원 5087
 
2.6%
공 4678
 
2.4%
년 4605
 
2.4%
기 4409
 
2.3%
Other values (319) 102833
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132536
67.9%
Space Separator 31205
 
16.0%
Decimal Number 21025
 
10.8%
Close Punctuation 4887
 
2.5%
Open Punctuation 4883
 
2.5%
Other Punctuation 222
 
0.1%
Connector Punctuation 194
 
0.1%
Uppercase Letter 144
 
0.1%
Dash Punctuation 33
 
< 0.1%
Lowercase Letter 15
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 11453
 
8.6%
조 10640
 
8.0%
고 6801
 
5.1%
원 5087
 
3.8%
공 4678
 
3.5%
년 4605
 
3.5%
기 4409
 
3.3%
용 3781
 
2.9%
및 3088
 
2.3%
자 3077
 
2.3%
Other values (263) 74917
56.5%
Uppercase Letter
ValueCountFrequency (%)
A 42
29.2%
I 22
15.3%
P 22
15.3%
C 21
14.6%
T 12
 
8.3%
S 7
 
4.9%
E 6
 
4.2%
O 3
 
2.1%
D 3
 
2.1%
B 2
 
1.4%
Other values (4) 4
 
2.8%
Decimal Number
ValueCountFrequency (%)
2 7628
36.3%
0 5812
27.6%
1 4181
19.9%
9 745
 
3.5%
5 516
 
2.5%
6 504
 
2.4%
8 497
 
2.4%
4 493
 
2.3%
7 466
 
2.2%
3 183
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
d 7
46.7%
m 2
 
13.3%
t 2
 
13.3%
s 1
 
6.7%
e 1
 
6.7%
r 1
 
6.7%
y 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 2757
56.4%
] 2079
42.5%
」 38
 
0.8%
』 6
 
0.1%
］ 6
 
0.1%
〕 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2754
56.4%
[ 2079
42.6%
「 37
 
0.8%
［ 6
 
0.1%
『 6
 
0.1%
〔 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
· 129
58.1%
. 78
35.1%
/ 11
 
5.0%
: 3
 
1.4%
& 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
< 1
 
20.0%
> 1
 
20.0%
Space Separator
ValueCountFrequency (%)
31205
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Symbol
ValueCountFrequency (%)
○ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132536
67.9%
Common 62456
32.0%
Latin 159
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 11453
 
8.6%
조 10640
 
8.0%
고 6801
 
5.1%
원 5087
 
3.8%
공 4678
 
3.5%
년 4605
 
3.5%
기 4409
 
3.3%
용 3781
 
2.9%
및 3088
 
2.3%
자 3077
 
2.3%
Other values (263) 74917
56.5%
Common
ValueCountFrequency (%)
31205
50.0%
2 7628
 
12.2%
0 5812
 
9.3%
1 4181
 
6.7%
) 2757
 
4.4%
( 2754
 
4.4%
] 2079
 
3.3%
[ 2079
 
3.3%
9 745
 
1.2%
5 516
 
0.8%
Other values (25) 2700
 
4.3%
Latin
ValueCountFrequency (%)
A 42
26.4%
I 22
13.8%
P 22
13.8%
C 21
13.2%
T 12
 
7.5%
S 7
 
4.4%
d 7
 
4.4%
E 6
 
3.8%
O 3
 
1.9%
D 3
 
1.9%
Other values (11) 14
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132503
67.9%
ASCII 62384
32.0%
None 230
 
0.1%
Compat Jamo 33
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31205
50.0%
2 7628
 
12.2%
0 5812
 
9.3%
1 4181
 
6.7%
) 2757
 
4.4%
( 2754
 
4.4%
] 2079
 
3.3%
[ 2079
 
3.3%
9 745
 
1.2%
5 516
 
0.8%
Other values (36) 2628
 
4.2%
Hangul
ValueCountFrequency (%)
사 11453
 
8.6%
조 10640
 
8.0%
고 6801
 
5.1%
원 5087
 
3.8%
공 4678
 
3.5%
년 4605
 
3.5%
기 4409
 
3.3%
용 3781
 
2.9%
및 3088
 
2.3%
자 3077
 
2.3%
Other values (258) 74884
56.5%
None
ValueCountFrequency (%)
· 129
56.1%
」 38
 
16.5%
「 37
 
16.1%
［ 6
 
2.6%
』 6
 
2.6%
『 6
 
2.6%
］ 6
 
2.6%
〔 1
 
0.4%
〕 1
 
0.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 27
81.8%
ㅇ 2
 
6.1%
ㄴ 2
 
6.1%
ㅁ 1
 
3.0%
ㄻ 1
 
3.0%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

생산아이디
Real number (ℝ)

Distinct127
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1308982.6
Minimum19000
Maximum7777777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.3 KiB
2023-12-12T08:08:34.955878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000
5-th percentile1200004
Q11200040
median1200118
Q31400018
95-th percentile1900014
Maximum7777777
Range7758777
Interquartile range (IQR)199978

Descriptive statistics

Standard deviation264746.33
Coefficient of variation (CV)0.20225352
Kurtosis133.13184
Mean1308982.6
Median Absolute Deviation (MAD)78
Skewness6.549224
Sum7.0213827 × 109
Variance7.0090622 × 1010
MonotonicityNot monotonic
2023-12-12T08:08:35.116432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1200118 1481
27.6%
1200040 917
17.1%
1200046 495
 
9.2%
1200049 292
 
5.4%
1400018 278
 
5.2%
1500053 271
 
5.1%
1000001 264
 
4.9%
1200004 147
 
2.7%
1400048 139
 
2.6%
1200064 113
 
2.1%
Other values (117) 967
18.0%
ValueCountFrequency (%)
19000 1
 
< 0.1%
1000001 264
4.9%
1200002 2
 
< 0.1%
1200003 1
 
< 0.1%
1200004 147
2.7%
1200010 2
 
< 0.1%
1200013 5
 
0.1%
1200015 1
 
< 0.1%
1200017 1
 
< 0.1%
1200018 1
 
< 0.1%
ValueCountFrequency (%)
7777777 2
 
< 0.1%
2200016 1
 
< 0.1%
2200002 10
 
0.2%
2100011 2
 
< 0.1%
2100002 2
 
< 0.1%
2000017 2
 
< 0.1%
2000013 2
 
< 0.1%
2000011 70
1.3%
1900018 89
1.7%
1900017 2
 
< 0.1%

조사차수
Text

Distinct190
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
2023-12-12T08:08:35.341036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.9742729
Min length1

Characters and Unicode

Total characters10590
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

Unique128 ?
Unique (%)2.4%

Sample

1st row1
2nd row162
3rd row7
4th row32
5th row8
ValueCountFrequency (%)
1 283
 
5.3%
2 270
 
5.0%
9,999 263
 
4.9%
21 252
 
4.7%
41 204
 
3.8%
23 197
 
3.7%
38 166
 
3.1%
10 159
 
3.0%
14 155
 
2.9%
39 155
 
2.9%
Other values (180) 3260
60.8%
2023-12-12T08:08:35.698773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2005
18.9%
4 1492
14.1%
9 1482
14.0%
2 1453
13.7%
3 1408
13.3%
5 610
 
5.8%
0 607
 
5.7%
6 523
 
4.9%
7 407
 
3.8%
8 340
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10327
97.5%
Other Punctuation 263
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2005
19.4%
4 1492
14.4%
9 1482
14.4%
2 1453
14.1%
3 1408
13.6%
5 610
 
5.9%
0 607
 
5.9%
6 523
 
5.1%
7 407
 
3.9%
8 340
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 263
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10590
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2005
18.9%
4 1492
14.1%
9 1482
14.0%
2 1453
13.7%
3 1408
13.3%
5 610
 
5.8%
0 607
 
5.7%
6 523
 
4.9%
7 407
 
3.8%
8 340
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2005
18.9%
4 1492
14.1%
9 1482
14.0%
2 1453
13.7%
3 1408
13.3%
5 610
 
5.8%
0 607
 
5.7%
6 523
 
4.9%
7 407
 
3.8%
8 340
 
3.2%

채용기관 아이디
Real number (ℝ)

Distinct102
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281147.55
Minimum101
Maximum1240507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.3 KiB
2023-12-12T08:08:35.840751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1101
median101
Q3101
95-th percentile1240418
Maximum1240507
Range1240406
Interquartile range (IQR)0

Descriptive statistics

Standard deviation518923.66
Coefficient of variation (CV)1.8457342
Kurtosis-0.29435531
Mean281147.55
Median Absolute Deviation (MAD)0
Skewness1.3055919
Sum1.5080755 × 109
Variance2.6928176 × 1011
MonotonicityNot monotonic
2023-12-12T08:08:35.992195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 4083
76.1%
1240370 80
 
1.5%
1240359 73
 
1.4%
1240360 61
 
1.1%
1240361 60
 
1.1%
1240404 53
 
1.0%
1240382 51
 
1.0%
1240368 51
 
1.0%
1240363 49
 
0.9%
1240430 44
 
0.8%
Other values (92) 759
 
14.1%
ValueCountFrequency (%)
101 4083
76.1%
110 1
 
< 0.1%
112 1
 
< 0.1%
113 3
 
0.1%
115 1
 
< 0.1%
116 1
 
< 0.1%
117 3
 
0.1%
136 4
 
0.1%
142 1
 
< 0.1%
143 3
 
0.1%
ValueCountFrequency (%)
1240507 6
 
0.1%
1240505 18
0.3%
1240504 20
0.4%
1240490 41
0.8%
1240459 1
 
< 0.1%
1240432 11
 
0.2%
1240431 4
 
0.1%
1240430 44
0.8%
1240429 31
0.6%
1240428 26
0.5%

공고유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
1
4876 
2
488 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4876
90.9%
2 488
 
9.1%

Length

2023-12-12T08:08:36.121145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:08:36.205283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4876
90.9%
2 488
 
9.1%

공고시작일
Date

Distinct1252
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
Minimum2010-04-01 00:00:00
Maximum2022-09-19 00:00:00
2023-12-12T08:08:36.314146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:36.491645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고종료일자
Text

Distinct1448
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
2023-12-12T08:08:36.842970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters53640
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

Unique486 ?
Unique (%)9.1%

Sample

1st row2012-09-30
2nd row2013-02-28
3rd row2013-01-12
4th row2013-04-27
5th row2013-04-30
ValueCountFrequency (%)
2014-06-07 105
 
2.0%
2012-11-30 51
 
1.0%
2022-08-19 33
 
0.6%
2022-08-22 29
 
0.5%
2016-04-26 24
 
0.4%
2022-08-23 24
 
0.4%
2017-04-24 20
 
0.4%
2020-04-27 20
 
0.4%
2021-05-14 20
 
0.4%
2022-08-24 19
 
0.4%
Other values (1438) 5019
93.6%
2023-12-12T08:08:37.266684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12645
23.6%
- 10728
20.0%
2 10447
19.5%
1 8080
15.1%
3 2158
 
4.0%
4 1923
 
3.6%
9 1784
 
3.3%
5 1616
 
3.0%
8 1447
 
2.7%
6 1436
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42912
80.0%
Dash Punctuation 10728
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12645
29.5%
2 10447
24.3%
1 8080
18.8%
3 2158
 
5.0%
4 1923
 
4.5%
9 1784
 
4.2%
5 1616
 
3.8%
8 1447
 
3.4%
6 1436
 
3.3%
7 1376
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 10728
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12645
23.6%
- 10728
20.0%
2 10447
19.5%
1 8080
15.1%
3 2158
 
4.0%
4 1923
 
3.6%
9 1784
 
3.3%
5 1616
 
3.0%
8 1447
 
2.7%
6 1436
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12645
23.6%
- 10728
20.0%
2 10447
19.5%
1 8080
15.1%
3 2158
 
4.0%
4 1923
 
3.6%
9 1784
 
3.3%
5 1616
 
3.0%
8 1447
 
2.7%
6 1436
 
2.7%

채용시작일자
Date

Distinct1264
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
Minimum2010-04-01 00:00:00
Maximum2022-09-19 00:00:00
2023-12-12T08:08:37.430775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:37.587674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

채용종료일자
Date

Distinct1408
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
Minimum2010-04-01 00:00:00
Maximum2022-10-31 00:00:00
2023-12-12T08:08:37.735408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:38.117898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고상태구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
1
4616 
2
746 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 4616
86.1%
2 746
 
13.9%
3 2
 
< 0.1%

Length

2023-12-12T08:08:38.231855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:08:38.308995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4616
86.1%
2 746
 
13.9%
3 2
 
< 0.1%

원채용번호
Text

Distinct334
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
2023-12-12T08:08:38.528492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.6368382
Min length1

Characters and Unicode

Total characters8780
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

Unique185 ?
Unique (%)3.4%

Sample

1st row9
2nd row9
3rd row9
4th row9
5th row9
ValueCountFrequency (%)
9 4876
90.9%
2015-347 4
 
0.1%
2015-350 4
 
0.1%
2016-043 4
 
0.1%
2017-163 3
 
0.1%
2014-366 2
 
< 0.1%
2015-077 2
 
< 0.1%
2014-166 2
 
< 0.1%
2016-212 2
 
< 0.1%
2017-179 2
 
< 0.1%
Other values (324) 463
 
8.6%
2023-12-12T08:08:38.874752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5004
57.0%
0 697
 
7.9%
1 683
 
7.8%
2 666
 
7.6%
- 488
 
5.6%
4 315
 
3.6%
5 249
 
2.8%
6 192
 
2.2%
3 189
 
2.2%
7 176
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8292
94.4%
Dash Punctuation 488
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5004
60.3%
0 697
 
8.4%
1 683
 
8.2%
2 666
 
8.0%
4 315
 
3.8%
5 249
 
3.0%
6 192
 
2.3%
3 189
 
2.3%
7 176
 
2.1%
8 121
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 488
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5004
57.0%
0 697
 
7.9%
1 683
 
7.8%
2 666
 
7.6%
- 488
 
5.6%
4 315
 
3.6%
5 249
 
2.8%
6 192
 
2.2%
3 189
 
2.2%
7 176
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5004
57.0%
0 697
 
7.9%
1 683
 
7.8%
2 666
 
7.6%
- 488
 
5.6%
4 315
 
3.6%
5 249
 
2.8%
6 192
 
2.2%
3 189
 
2.2%
7 176
 
2.0%

스타일시트(CSS)유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
1
4810 
3
 
375
2
 
179

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4810
89.7%
3 375
 
7.0%
2 179
 
3.3%

Length

2023-12-12T08:08:39.003230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:08:39.090425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4810
89.7%
3 375
 
7.0%
2 179
 
3.3%

채용공고번호
Text

Distinct4730
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
2023-12-12T08:08:39.325783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length30
Mean length15.798844
Min length1

Characters and Unicode

Total characters84745
Distinct characters161
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4252 ?
Unique (%)79.3%

Sample

1st row2012-026
2nd row2013-162
3rd row2013-001
4th row13-Apr
5th row13-Jan
ValueCountFrequency (%)
공고 1962
 
14.7%
제 842
 
6.3%
경인지방통계청 706
 
5.3%
619
 
4.6%
동북지방통계청 529
 
4.0%
호남지방통계청 482
 
3.6%
동남지방통계청 329
 
2.5%
충청지방통계청 296
 
2.2%
호 206
 
1.5%
충청지방통계청공고 134
 
1.0%
Other values (3931) 7235
54.2%
2023-12-12T08:08:39.705962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9603
 
11.3%
8784
 
10.4%
0 6979
 
8.2%
1 6432
 
7.6%
- 4853
 
5.7%
호 4439
 
5.2%
제 3770
 
4.4%
청 3486
 
4.1%
통 3023
 
3.6%
지 3019
 
3.6%
Other values (151) 30357
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36410
43.0%
Decimal Number 34489
40.7%
Space Separator 8784
 
10.4%
Dash Punctuation 4853
 
5.7%
Lowercase Letter 87
 
0.1%
Uppercase Letter 35
 
< 0.1%
Close Punctuation 34
 
< 0.1%
Open Punctuation 34
 
< 0.1%
Connector Punctuation 11
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 4439
12.2%
제 3770
10.4%
청 3486
9.6%
통 3023
8.3%
지 3019
8.3%
방 3018
8.3%
계 3013
8.3%
고 2603
7.1%
공 2589
7.1%
동 1223
 
3.4%
Other values (104) 6227
17.1%
Lowercase Letter
ValueCountFrequency (%)
a 10
11.5%
d 9
10.3%
e 9
10.3%
r 8
9.2%
n 8
9.2%
u 7
8.0%
j 6
 
6.9%
p 6
 
6.9%
t 5
 
5.7%
b 4
 
4.6%
Other values (8) 15
17.2%
Decimal Number
ValueCountFrequency (%)
2 9603
27.8%
0 6979
20.2%
1 6432
18.6%
4 1899
 
5.5%
3 1859
 
5.4%
9 1661
 
4.8%
5 1652
 
4.8%
7 1528
 
4.4%
6 1489
 
4.3%
8 1387
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
J 11
31.4%
M 6
17.1%
F 4
 
11.4%
A 4
 
11.4%
S 3
 
8.6%
T 2
 
5.7%
N 2
 
5.7%
E 1
 
2.9%
O 1
 
2.9%
D 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 32
94.1%
] 2
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 32
94.1%
[ 2
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 4
50.0%
. 4
50.0%
Space Separator
ValueCountFrequency (%)
8784
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4853
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48213
56.9%
Hangul 36410
43.0%
Latin 122
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 4439
12.2%
제 3770
10.4%
청 3486
9.6%
통 3023
8.3%
지 3019
8.3%
방 3018
8.3%
계 3013
8.3%
고 2603
7.1%
공 2589
7.1%
동 1223
 
3.4%
Other values (104) 6227
17.1%
Latin
ValueCountFrequency (%)
J 11
 
9.0%
a 10
 
8.2%
d 9
 
7.4%
e 9
 
7.4%
r 8
 
6.6%
n 8
 
6.6%
u 7
 
5.7%
j 6
 
4.9%
M 6
 
4.9%
p 6
 
4.9%
Other values (18) 42
34.4%
Common
ValueCountFrequency (%)
2 9603
19.9%
8784
18.2%
0 6979
14.5%
1 6432
13.3%
- 4853
10.1%
4 1899
 
3.9%
3 1859
 
3.9%
9 1661
 
3.4%
5 1652
 
3.4%
7 1528
 
3.2%
Other values (9) 2963
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48335
57.0%
Hangul 36389
42.9%
Compat Jamo 21
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9603
19.9%
8784
18.2%
0 6979
14.4%
1 6432
13.3%
- 4853
10.0%
4 1899
 
3.9%
3 1859
 
3.8%
9 1661
 
3.4%
5 1652
 
3.4%
7 1528
 
3.2%
Other values (37) 3085
 
6.4%
Hangul
ValueCountFrequency (%)
호 4439
12.2%
제 3770
10.4%
청 3486
9.6%
통 3023
8.3%
지 3019
8.3%
방 3018
8.3%
계 3013
8.3%
고 2603
7.2%
공 2589
7.1%
동 1223
 
3.4%
Other values (100) 6206
17.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 16
76.2%
ㄹ 3
 
14.3%
ㅀ 1
 
4.8%
ㄴ 1
 
4.8%

조회수
Text

Distinct2285
Distinct (%)42.9%
Missing37
Missing (%)0.7%
Memory size42.0 KiB
2023-12-12T08:08:40.047929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.516238
Min length1

Characters and Unicode

Total characters18731
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

Unique1065 ?
Unique (%)20.0%

Sample

1st row326
2nd row15
3rd row98
4th row115
5th row8
ValueCountFrequency (%)
1 63
 
1.2%
2 61
 
1.1%
3 49
 
0.9%
5 42
 
0.8%
4 30
 
0.6%
6 28
 
0.5%
7 21
 
0.4%
8 20
 
0.4%
12 17
 
0.3%
10 16
 
0.3%
Other values (2275) 4980
93.5%
2023-12-12T08:08:40.478889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2890
15.4%
2 2104
11.2%
, 1966
10.5%
3 1760
9.4%
4 1646
8.8%
5 1594
8.5%
6 1427
7.6%
7 1412
7.5%
9 1336
7.1%
8 1315
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16765
89.5%
Other Punctuation 1966
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2890
17.2%
2 2104
12.5%
3 1760
10.5%
4 1646
9.8%
5 1594
9.5%
6 1427
8.5%
7 1412
8.4%
9 1336
8.0%
8 1315
7.8%
0 1281
7.6%
Other Punctuation
ValueCountFrequency (%)
, 1966
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18731
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2890
15.4%
2 2104
11.2%
, 1966
10.5%
3 1760
9.4%
4 1646
8.8%
5 1594
8.5%
6 1427
7.6%
7 1412
7.5%
9 1336
7.1%
8 1315
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18731
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2890
15.4%
2 2104
11.2%
, 1966
10.5%
3 1760
9.4%
4 1646
8.8%
5 1594
8.5%
6 1427
7.6%
7 1412
7.5%
9 1336
7.1%
8 1315
7.0%

채용심사유형
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
1
4257 
2
587 
<NA>
488 
8
 
25
3
 
7

Length

Max length4
Median length1
Mean length1.2729306
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4257
79.4%
2 587
 
10.9%
<NA> 488
 
9.1%
8 25
 
0.5%
3 7
 
0.1%

Length

2023-12-12T08:08:40.595480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:08:40.702665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4257
79.4%
2 587
 
10.9%
na 488
 
9.1%
8 25
 
0.5%
3 7
 
0.1%

등록일
Date

Distinct1382
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
Minimum2012-09-03 00:00:00
Maximum2022-09-19 00:00:00
2023-12-12T08:08:40.827183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:40.958111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

MISSING 

Distinct575
Distinct (%)28.6%
Missing3357
Missing (%)62.6%
Memory size42.0 KiB
Minimum2019-03-20 00:00:00
Maximum2022-09-21 00:00:00
2023-12-12T08:08:41.123764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:41.265629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고기관부서 아이디
Real number (ℝ)

Distinct102
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1783507.8
Minimum53111
Maximum9999999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.3 KiB
2023-12-12T08:08:41.410493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53111
5-th percentile1240366
Q11240380
median1240404
Q31240427
95-th percentile9999999
Maximum9999999
Range9946888
Interquartile range (IQR)47

Descriptive statistics

Standard deviation2118089.9
Coefficient of variation (CV)1.1875978
Kurtosis11.12182
Mean1783507.8
Median Absolute Deviation (MAD)23
Skewness3.6200514
Sum9.5667356 × 109
Variance4.4863047 × 1012
MonotonicityNot monotonic
2023-12-12T08:08:41.555223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9999999 334
 
6.2%
1240368 265
 
4.9%
1240429 196
 
3.7%
1240430 185
 
3.4%
1240366 184
 
3.4%
1240370 163
 
3.0%
1240390 157
 
2.9%
1240404 143
 
2.7%
1240380 142
 
2.6%
1240369 142
 
2.6%
Other values (92) 3453
64.4%
ValueCountFrequency (%)
53111 1
 
< 0.1%
53534 1
 
< 0.1%
53822 1
 
< 0.1%
53921 1
 
< 0.1%
54611 1
 
< 0.1%
71355 1
 
< 0.1%
101000 2
 
< 0.1%
202014 3
0.1%
1240000 6
0.1%
1240021 3
0.1%
ValueCountFrequency (%)
9999999 334
6.2%
1240508 4
 
0.1%
1240507 51
 
1.0%
1240506 10
 
0.2%
1240505 60
 
1.1%
1240490 61
 
1.1%
1240489 23
 
0.4%
1240488 28
 
0.5%
1240487 27
 
0.5%
1240486 25
 
0.5%

문자 수신여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
False
3244 
True
2120 
ValueCountFrequency (%)
False 3244
60.5%
True 2120
39.5%
2023-12-12T08:08:41.668663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일괄모집여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
False
5100 
True
 
264
ValueCountFrequency (%)
False 5100
95.1%
True 264
 
4.9%
2023-12-12T08:08:41.746156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공고게시일자
Date

Distinct1383
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size42.0 KiB
Minimum2012-09-03 00:00:00
Maximum2022-09-21 00:00:00
2023-12-12T08:08:41.843809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:42.034942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

채용번호채용제목생산아이디조사차수채용기관 아이디공고유형공고시작일공고종료일자채용시작일자채용종료일자공고상태구분원채용번호스타일시트(CSS)유형채용공고번호조회수채용심사유형등록일수정일시공고기관부서 아이디문자 수신여부일괄모집여부공고게시일자
02012-0262015 인구주택총조사 제1차 시험조사 채용공고1200037110112012-09-012012-09-302012-09-032012-09-282932012-02632622012-09-03<NA>1240359NN2012-09-03
12013-006중소제조업경기전망조사 162회차 채용120006216210112013-02-012013-02-282013-02-202013-12-311912013-1621512013-02-20<NA>1240000NN2013-02-20
22013-001경남관광실태조사(전국조사) 조사원모집12000977124036212013-01-012013-01-122013-01-012013-01-121922013-0019812013-01-04<NA>1240359NN2013-01-04
32013-013지역별고용조사_32회차(2013년상반기)12001183210112013-03-012013-04-272013-03-252013-04-0629113-Apr11512013-03-29<NA>9999999NN2013-03-29
42013-015로봇산업실태조사_8회차1200069840112013-04-012013-04-302013-04-012013-12-3119113-Jan812013-04-01<NA>9999999NN2013-04-01
52013-017지역별고용조사_30회차 테스트채용공고12001183010112013-04-012013-04-302013-04-082013-04-262931234-123414232013-04-10<NA>101000NN2013-04-10
62013-019중소기업실태조사_45회차 채용공고12001884510112013-04-152013-05-312013-04-222013-04-302912013-10020222013-04-15<NA>101000NN2013-04-15
72013-020관광사업체기초통계조사_7회차1200114710112013-04-182013-04-252013-04-252013-04-301919212013-04-18<NA>9999999NN2013-04-18
82013-025어업경영조사_54회차(2013년4월)12000585410112013-03-012013-03-152013-03-182013-03-221919112013-05-14<NA>9999999NN2013-05-14
92013-029포항시사회조사_3회차1200085310112013-05-012013-05-312013-05-012013-05-3119191212013-05-27<NA>9999999NN2013-05-27
채용번호채용제목생산아이디조사차수채용기관 아이디공고유형공고시작일공고종료일자채용시작일자채용종료일자공고상태구분원채용번호스타일시트(CSS)유형채용공고번호조회수채용심사유형등록일수정일시공고기관부서 아이디문자 수신여부일괄모집여부공고게시일자
53542020-456[고양]2020년 하반기 지역별고용조사 기간제근로자 및 도급조사원 모집 공고12001184710112020-09-042020-09-212020-09-042020-09-21191경인지방통계청공고 제2020- 372호1,26712020-09-042020-09-041240374YN2020-09-04
53552021-048[안동]2021년 가계금융복지조사 기간제근로자 및 도급조사원 모집공고120004021124038312021-02-262021-03-082021-02-262021-03-08191동북지방통계청공고 제2021-68호1,02212021-02-26<NA>1240383YN2021-02-26
53562021-232(청주)2021년 이민자체류실태및고용조사 모집 공고14000181010112020-04-222021-04-282021-04-222021-04-281932021-10571712021-04-21<NA>1240429YN2021-04-21
53572022-363(인천)2022년 1차 초중고 사교육비조사 기간제근로자(업무보조원) 모집 공고120004923124036812022-05-262022-06-022022-05-262022-06-02191경인지방통계청 공고 제 2022 180호53012022-05-262022-05-261240368NN2022-05-26
53582021-452[제주]2021년 국가보훈대상자 생활실태조사 조사요원 모집1800004210112021-07-092021-07-162021-07-092021-07-16191호남지방통계청 공고 제 2021-247호95512021-07-092021-07-091240409YN2021-07-09
53592022-205(강진)2022년 사회조사 기간제근로자 및 도급조사원 모집 공고120004646124040112022-04-132022-04-012022-04-132022-04-01191호남지방통계청 제2022123호29812022-04-132022-04-131240401YN2022-04-13
53602022-298(군산) 2021년 기준 경제통계 통합조사 조사요원 모집 공고15000531510112022-05-032022-05-012022-05-032022-05-01191호남지방통계청 공고 제2022-154호1,04412022-05-032022-05-161240405YN2022-05-03
53612022-298(군산) 2021년 기준 경제통계 통합조사 조사요원 모집 공고15000531510112022-05-032022-05-202022-05-032022-05-20191호남지방통계청 공고 제2022-154호114712022-05-032022-05-161240405YN2022-05-16
53622022-750[강원지청]2022년 하반기 지역별고용조사 및 2차 초중고 사교육비조사 기간제근로자 채용 공고10000019999124050412022-09-162022-09-262022-09-162022-09-26191동북청 제2022 - 423호63612022-09-162022-09-211240507NY2022-09-21
53632022-759[사회조사과] 2022년 2차 초중고사교육비조사 기간제근로자 모집 공고120004923124035912022-09-192022-09-272022-09-192022-09-271912022-42949512022-09-19<NA>1240366NN2022-09-19