Overview

Dataset statistics

Number of variables7
Number of observations1093
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.0 KiB
Average record size in memory58.1 B

Variable types

Numeric2
Categorical1
Text1
Boolean2
DateTime1

Dataset

Description대구시설공단 채용과 관련된 정보입니다.
Author대구시설공단
URLhttps://www.data.go.kr/data/15085857/fileData.do

Alerts

공지글 has constant value ""Constant
순번 is highly overall correlated with 조회수High correlation
조회수 is highly overall correlated with 순번High correlation
부서 is highly overall correlated with 숨김여부High correlation
숨김여부 is highly overall correlated with 부서High correlation
부서 is highly imbalanced (75.8%)Imbalance
숨김여부 is highly imbalanced (93.8%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:04:28.846864
Analysis finished2023-12-12 23:04:29.991225
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1093
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean547
Minimum1
Maximum1093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2023-12-13T08:04:30.093326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.6
Q1274
median547
Q3820
95-th percentile1038.4
Maximum1093
Range1092
Interquartile range (IQR)546

Descriptive statistics

Standard deviation315.66623
Coefficient of variation (CV)0.57708634
Kurtosis-1.2
Mean547
Median Absolute Deviation (MAD)273
Skewness0
Sum597871
Variance99645.167
MonotonicityStrictly increasing
2023-12-13T08:04:30.245619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
728 1
 
0.1%
734 1
 
0.1%
733 1
 
0.1%
732 1
 
0.1%
731 1
 
0.1%
730 1
 
0.1%
729 1
 
0.1%
727 1
 
0.1%
685 1
 
0.1%
Other values (1083) 1083
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 (%)
1093 1
0.1%
1092 1
0.1%
1091 1
0.1%
1090 1
0.1%
1089 1
0.1%
1088 1
0.1%
1087 1
0.1%
1086 1
0.1%
1085 1
0.1%
1084 1
0.1%

부서
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
본사
936 
총무인사팀
 
47
서재문화체육센터
 
28
두류수영장
 
27
올림픽기념국민생활관
 
21
Other values (14)
 
34

Length

Max length10
Median length2
Mean length2.6248856
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
본사 936
85.6%
총무인사팀 47
 
4.3%
서재문화체육센터 28
 
2.6%
두류수영장 27
 
2.5%
올림픽기념국민생활관 21
 
1.9%
대구국제사격장 6
 
0.5%
신천둔치 5
 
0.5%
대구승마힐링센터 5
 
0.5%
주차총괄팀 2
 
0.2%
시티투어 2
 
0.2%
Other values (9) 14
 
1.3%

Length

2023-12-13T08:04:30.397482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본사 936
85.6%
총무인사팀 47
 
4.3%
서재문화체육센터 28
 
2.6%
두류수영장 27
 
2.5%
올림픽기념국민생활관 21
 
1.9%
대구국제사격장 6
 
0.5%
신천둔치 5
 
0.5%
대구승마힐링센터 5
 
0.5%
도심공원 2
 
0.2%
대덕승마장 2
 
0.2%
Other values (9) 14
 
1.3%

제목
Text

Distinct842
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2023-12-13T08:04:30.630684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length43
Mean length29.365965
Min length7

Characters and Unicode

Total characters32097
Distinct characters271
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique713 ?
Unique (%)65.2%

Sample

1st row기능직(6급) 공개채용 최종합격자 발표
2nd row청소년 문화의집 강사(자원봉사자)인력 뱅크제 모집공고
3rd row대구광역시시설관리공단 직원 모집
4th row대구광역시시설관리공단 직원 모집
5th row관광통역안내원(영어) 공개채용 최종합격자 발표
ValueCountFrequency (%)
공고 916
 
15.0%
공개채용 728
 
12.0%
합격예정자 310
 
5.1%
및 239
 
3.9%
한시적 226
 
3.7%
대구시설공단 117
 
1.9%
기간제계약직 114
 
1.9%
서재문화체육센터 97
 
1.6%
채용 83
 
1.4%
근로자 78
 
1.3%
Other values (505) 3179
52.2%
2023-12-13T08:04:31.078648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5015
 
15.6%
공 2186
 
6.8%
고 1090
 
3.4%
자 981
 
3.1%
채 885
 
2.8%
용 884
 
2.8%
개 862
 
2.7%
시 850
 
2.6%
원 683
 
2.1%
정 567
 
1.8%
Other values (261) 18094
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25192
78.5%
Space Separator 5020
 
15.6%
Decimal Number 718
 
2.2%
Close Punctuation 531
 
1.7%
Open Punctuation 531
 
1.7%
Other Punctuation 99
 
0.3%
Dash Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Initial Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 2186
 
8.7%
고 1090
 
4.3%
자 981
 
3.9%
채 885
 
3.5%
용 884
 
3.5%
개 862
 
3.4%
시 850
 
3.4%
원 683
 
2.7%
정 567
 
2.3%
로 554
 
2.2%
Other values (233) 15650
62.1%
Decimal Number
ValueCountFrequency (%)
2 210
29.2%
0 178
24.8%
1 173
24.1%
5 30
 
4.2%
8 28
 
3.9%
6 24
 
3.3%
9 23
 
3.2%
7 23
 
3.2%
4 15
 
2.1%
3 14
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 76
76.8%
· 11
 
11.1%
/ 7
 
7.1%
. 3
 
3.0%
& 2
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 529
99.6%
』 1
 
0.2%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 529
99.6%
[ 1
 
0.2%
『 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5015
99.9%
　 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25192
78.5%
Common 6903
 
21.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 2186
 
8.7%
고 1090
 
4.3%
자 981
 
3.9%
채 885
 
3.5%
용 884
 
3.5%
개 862
 
3.4%
시 850
 
3.4%
원 683
 
2.7%
정 567
 
2.3%
로 554
 
2.2%
Other values (233) 15650
62.1%
Common
ValueCountFrequency (%)
5015
72.6%
) 529
 
7.7%
( 529
 
7.7%
2 210
 
3.0%
0 178
 
2.6%
1 173
 
2.5%
, 76
 
1.1%
5 30
 
0.4%
8 28
 
0.4%
6 24
 
0.3%
Other values (16) 111
 
1.6%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25191
78.5%
ASCII 6885
 
21.5%
None 18
 
0.1%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5015
72.8%
) 529
 
7.7%
( 529
 
7.7%
2 210
 
3.1%
0 178
 
2.6%
1 173
 
2.5%
, 76
 
1.1%
5 30
 
0.4%
8 28
 
0.4%
6 24
 
0.3%
Other values (12) 93
 
1.4%
Hangul
ValueCountFrequency (%)
공 2186
 
8.7%
고 1090
 
4.3%
자 981
 
3.9%
채 885
 
3.5%
용 884
 
3.5%
개 862
 
3.4%
시 850
 
3.4%
원 683
 
2.7%
정 567
 
2.3%
로 554
 
2.2%
Other values (232) 15649
62.1%
None
ValueCountFrequency (%)
· 11
61.1%
　 5
27.8%
』 1
 
5.6%
『 1
 
5.6%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct1062
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8650.0887
Minimum406
Maximum168021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2023-12-13T08:04:31.252775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum406
5-th percentile1489.2
Q14047
median7910
Q312304
95-th percentile17203
Maximum168021
Range167615
Interquartile range (IQR)8257

Descriptive statistics

Standard deviation7045.727
Coefficient of variation (CV)0.81452655
Kurtosis238.74989
Mean8650.0887
Median Absolute Deviation (MAD)4140
Skewness10.756993
Sum9454547
Variance49642268
MonotonicityNot monotonic
2023-12-13T08:04:31.404765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5216 3
 
0.3%
2500 2
 
0.2%
4277 2
 
0.2%
4948 2
 
0.2%
5953 2
 
0.2%
4204 2
 
0.2%
12318 2
 
0.2%
12584 2
 
0.2%
10915 2
 
0.2%
16405 2
 
0.2%
Other values (1052) 1072
98.1%
ValueCountFrequency (%)
406 1
0.1%
540 1
0.1%
550 1
0.1%
555 1
0.1%
563 1
0.1%
618 1
0.1%
657 1
0.1%
706 1
0.1%
724 1
0.1%
783 1
0.1%
ValueCountFrequency (%)
168021 1
0.1%
28697 1
0.1%
26607 1
0.1%
26280 1
0.1%
23814 1
0.1%
23493 1
0.1%
23327 1
0.1%
22993 1
0.1%
22369 1
0.1%
21795 1
0.1%

공지글
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1093 
ValueCountFrequency (%)
False 1093
100.0%
2023-12-13T08:04:31.529954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

숨김여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1085 
True
 
8
ValueCountFrequency (%)
False 1085
99.3%
True 8
 
0.7%
2023-12-13T08:04:31.616442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일
Date

Distinct1091
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2006-07-09 12:24:00
Maximum2021-05-07 15:19:00
2023-12-13T08:04:31.725397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:04:31.919839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T08:04:29.469738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:04:29.250369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:04:29.591424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:04:29.349212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:04:32.020335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번부서조회수숨김여부
순번1.0000.6050.4390.143
부서0.6051.0000.0000.672
조회수0.4390.0001.0000.000
숨김여부0.1430.6720.0001.000
2023-12-13T08:04:32.125503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
숨김여부부서
숨김여부1.0000.601
부서0.6011.000
2023-12-13T08:04:32.505349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조회수부서숨김여부
순번1.000-0.9070.2750.109
조회수-0.9071.0000.0000.000
부서0.2750.0001.0000.601
숨김여부0.1090.0000.6011.000

Missing values

2023-12-13T08:04:29.776327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:04:29.935372image/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

순번부서제목조회수공지글숨김여부등록일
01본사기능직(6급) 공개채용 최종합격자 발표20374NN2006-07-09 12:24
12본사청소년 문화의집 강사(자원봉사자)인력 뱅크제 모집공고16268NN2006-07-09 12:25
23본사대구광역시시설관리공단 직원 모집20306NN2006-10-19 10:36
34본사대구광역시시설관리공단 직원 모집23814NN2006-10-30 13:57
45본사관광통역안내원(영어) 공개채용 최종합격자 발표17135NN2006-11-14 17:18
56본사관광통역안내원(비정규직) 모집16889NN2006-11-21 13:35
67본사유니버시아드 테니스장 강사 모집17215NN2006-12-14 18:00
78본사『청소년 방과후 아카데미 운영』에 따른 스케줄매니저(SM) 공개채용 공고17233NN2007-01-23 18:10
89본사강사 채용공고18008NN2007-03-14 13:54
910본사2007년도 대구광역시시설관리공단 신규직원 공개채용 모집공고28697NN2007-05-18 18:41
순번부서제목조회수공지글숨김여부등록일
10831084본사한시적 근로자 공개채용 공고2993NN2021-03-22 18:47
10841085본사한시적 근로자 공개채용 합격예정자 공고1238NN2021-03-26 17:52
10851086본사한시적 근로자 공개채용 합격예정자 공고989NN2021-03-31 17:16
10861087본사한시적 근로자 신규채용된 직원 중 임직원 친인척에 해당하는 직원 수(2021년 2월)1535NN2021-04-01 10:40
10871088본사한시적 근로자 공개채용 공고3599NN2021-04-08 18:04
10881089본사한시적 근로자 신규채용된 직원 중 임직원 친인척에 해당하는 직원 수(2021년 3월)550NN2021-04-22 11:23
10891090본사한시적 근로자 공개채용 합격예정자 공고917NN2021-04-22 13:32
10901091본사대구시설공단 이사장 공개모집 공고1089NN2021-04-23 9:36
10911092본사한시적 근로자 신규채용된 직원 중 임직원 친인척에 해당하는 직원 수(2021년 4월)406NN2021-05-06 16:17
10921093본사한시적 근로자 공개채용 공고1177NN2021-05-07 15:19