Overview

Dataset statistics

Number of variables3
Number of observations265
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory6.9 KiB
Average record size in memory26.5 B

Variable types

Numeric2
Text1

Dataset

Description공무원연금공단 종합재해보상 표준기안문중분류코드(기안문대분류코드, 기안문중분류코드, 기안문중분류세부명 등 포함) 관련 데이터입니다.
Author공무원연금공단
URLhttps://www.data.go.kr/data/15123825/fileData.do

Alerts

Dataset has 1 (0.4%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 15:10:10.833989
Analysis finished2023-12-12 15:10:11.667818
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기안문대분류코드
Real number (ℝ)

Distinct11
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.909434
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T00:10:11.724956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum11
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0760416
Coefficient of variation (CV)0.71355514
Kurtosis1.2921577
Mean2.909434
Median Absolute Deviation (MAD)1
Skewness1.2299126
Sum771
Variance4.3099485
MonotonicityNot monotonic
2023-12-13T00:10:11.834652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 90
34.0%
2 51
19.2%
3 40
15.1%
4 30
 
11.3%
5 20
 
7.5%
6 18
 
6.8%
7 7
 
2.6%
8 3
 
1.1%
9 3
 
1.1%
10 2
 
0.8%
ValueCountFrequency (%)
1 90
34.0%
2 51
19.2%
3 40
15.1%
4 30
 
11.3%
5 20
 
7.5%
6 18
 
6.8%
7 7
 
2.6%
8 3
 
1.1%
9 3
 
1.1%
10 2
 
0.8%
ValueCountFrequency (%)
11 1
 
0.4%
10 2
 
0.8%
9 3
 
1.1%
8 3
 
1.1%
7 7
 
2.6%
6 18
 
6.8%
5 20
 
7.5%
4 30
11.3%
3 40
15.1%
2 51
19.2%

기안문중분류코드
Real number (ℝ)

Distinct13
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5245283
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T00:10:11.949955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7.8
Maximum13
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2157243
Coefficient of variation (CV)0.87767852
Kurtosis4.2818387
Mean2.5245283
Median Absolute Deviation (MAD)1
Skewness2.0143986
Sum669
Variance4.909434
MonotonicityNot monotonic
2023-12-13T00:10:12.076375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 122
46.0%
2 55
20.8%
3 33
 
12.5%
4 17
 
6.4%
5 10
 
3.8%
6 8
 
3.0%
7 6
 
2.3%
8 6
 
2.3%
9 4
 
1.5%
11 1
 
0.4%
Other values (3) 3
 
1.1%
ValueCountFrequency (%)
1 122
46.0%
2 55
20.8%
3 33
 
12.5%
4 17
 
6.4%
5 10
 
3.8%
6 8
 
3.0%
7 6
 
2.3%
8 6
 
2.3%
9 4
 
1.5%
10 1
 
0.4%
ValueCountFrequency (%)
13 1
 
0.4%
12 1
 
0.4%
11 1
 
0.4%
10 1
 
0.4%
9 4
 
1.5%
8 6
 
2.3%
7 6
 
2.3%
6 8
3.0%
5 10
3.8%
4 17
6.4%

기안문중분류세부명
Text

Distinct211
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T00:10:12.319348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length30.366038
Min length2

Characters and Unicode

Total characters8047
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)66.8%

Sample

1st row(dlb_yr)년 제(dlb_sqn)회 공무원재해보상심의회 결과 보고(내부결재)
2nd row확정판결에 따른 (pay_kind) 결정 통보 ((req_name) (1))
3rd row확정판결에 따른 (pay_kind) 결정 통보
4th row확정판결에 따른 (pay_kind) 결정 통보 ((req_name) (2))
5th row확정판결에 따른 유족보상금 결정 통보 ((pub_name)) (1)
ValueCountFrequency (%)
pub_name 76
 
5.9%
통보 69
 
5.3%
결정 61
 
4.7%
따른 52
 
4.0%
통보((pub_name 42
 
3.2%
공무상요양 36
 
2.8%
관련 32
 
2.5%
불승인 32
 
2.5%
pay_kind)(pay_req 31
 
2.4%
29
 
2.2%
Other values (202) 838
64.6%
2023-12-13T00:10:12.722208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1050
 
13.0%
( 499
 
6.2%
) 498
 
6.2%
_ 250
 
3.1%
a 238
 
3.0%
p 233
 
2.9%
보 225
 
2.8%
n 203
 
2.5%
e 186
 
2.3%
정 176
 
2.2%
Other values (164) 4489
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3980
49.5%
Lowercase Letter 1659
20.6%
Space Separator 1050
 
13.0%
Open Punctuation 499
 
6.2%
Close Punctuation 498
 
6.2%
Connector Punctuation 250
 
3.1%
Decimal Number 74
 
0.9%
Dash Punctuation 34
 
0.4%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 225
 
5.7%
정 176
 
4.4%
상 170
 
4.3%
무 155
 
3.9%
통 153
 
3.8%
결 135
 
3.4%
요 134
 
3.4%
인 128
 
3.2%
공 119
 
3.0%
승 91
 
2.3%
Other values (136) 2494
62.7%
Lowercase Letter
ValueCountFrequency (%)
a 238
14.3%
p 233
14.0%
n 203
12.2%
e 186
11.2%
m 139
8.4%
b 133
8.0%
u 131
7.9%
y 100
6.0%
d 65
 
3.9%
k 63
 
3.8%
Other values (6) 168
10.1%
Decimal Number
ValueCountFrequency (%)
2 38
51.4%
1 19
25.7%
3 12
 
16.2%
0 2
 
2.7%
4 2
 
2.7%
8 1
 
1.4%
Space Separator
ValueCountFrequency (%)
1050
100.0%
Open Punctuation
ValueCountFrequency (%)
( 499
100.0%
Close Punctuation
ValueCountFrequency (%)
) 498
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3980
49.5%
Common 2408
29.9%
Latin 1659
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 225
 
5.7%
정 176
 
4.4%
상 170
 
4.3%
무 155
 
3.9%
통 153
 
3.8%
결 135
 
3.4%
요 134
 
3.4%
인 128
 
3.2%
공 119
 
3.0%
승 91
 
2.3%
Other values (136) 2494
62.7%
Latin
ValueCountFrequency (%)
a 238
14.3%
p 233
14.0%
n 203
12.2%
e 186
11.2%
m 139
8.4%
b 133
8.0%
u 131
7.9%
y 100
6.0%
d 65
 
3.9%
k 63
 
3.8%
Other values (6) 168
10.1%
Common
ValueCountFrequency (%)
1050
43.6%
( 499
20.7%
) 498
20.7%
_ 250
 
10.4%
2 38
 
1.6%
- 34
 
1.4%
1 19
 
0.8%
3 12
 
0.5%
, 3
 
0.1%
0 2
 
0.1%
Other values (2) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4067
50.5%
Hangul 3980
49.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1050
25.8%
( 499
12.3%
) 498
12.2%
_ 250
 
6.1%
a 238
 
5.9%
p 233
 
5.7%
n 203
 
5.0%
e 186
 
4.6%
m 139
 
3.4%
b 133
 
3.3%
Other values (18) 638
15.7%
Hangul
ValueCountFrequency (%)
보 225
 
5.7%
정 176
 
4.4%
상 170
 
4.3%
무 155
 
3.9%
통 153
 
3.8%
결 135
 
3.4%
요 134
 
3.4%
인 128
 
3.2%
공 119
 
3.0%
승 91
 
2.3%
Other values (136) 2494
62.7%

Interactions

2023-12-13T00:10:11.264271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:10:10.996549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:10:11.416745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:10:11.119009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:10:12.821867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기안문대분류코드기안문중분류코드
기안문대분류코드1.0000.000
기안문중분류코드0.0001.000
2023-12-13T00:10:12.937894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기안문대분류코드기안문중분류코드
기안문대분류코드1.000-0.233
기안문중분류코드-0.2331.000

Missing values

2023-12-13T00:10:11.554550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:10:11.634250image/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

기안문대분류코드기안문중분류코드기안문중분류세부명
011(dlb_yr)년 제(dlb_sqn)회 공무원재해보상심의회 결과 보고(내부결재)
115확정판결에 따른 (pay_kind) 결정 통보 ((req_name) (1))
216확정판결에 따른 (pay_kind) 결정 통보
317확정판결에 따른 (pay_kind) 결정 통보 ((req_name) (2))
441확정판결에 따른 유족보상금 결정 통보 ((pub_name)) (1)
542확정판결에 따른 유족보상금 결정 통보
643확정판결에 따른 유족보상금 결정 통보 ((pub_name)) (2)
751확정판결에 따른 장해급여 결정 통보 ((pub_name)) (1)
852확정판결에 따른 장해급여 결정 통보
953확정판결에 따른 장해급여 결정 통보 ((pub_name)) (2)
기안문대분류코드기안문중분류코드기안문중분류세부명
25522공무상요양 기간연장 승인통보(국민건강보험공단)
25612순직위험직무순직보상 결정 통보(청구인)
25713장해급여 결정 통보(청구인)
25814공무상요양승인 결정 통보(청구인)
25915공무상요양승인 결정 통보(청구인)
26021장해일시금 부지급 결정 통보((pub_name)) - 지병 입증자료 없음
26131장해연금 부지급 경정 통보((pub_name)) - 장해등급 미달
26241장해일시금 부지급 결정 통보((pub_name)) - 재청구
26351장해등급 조정신청에 대한 불승인 결정 통보((pub_name)) - 장애등급 조정 비대상
26461장해연금 부지급 결정 통보((pub_name)) - 시효도과

Duplicate rows

Most frequently occurring

기안문대분류코드기안문중분류코드기안문중분류세부명# duplicates
011위험직무 순직유족급여 지급에 따른 급여 이체 요청2