Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory64.3 B

Variable types

Numeric2
Categorical1
Text4

Dataset

Description한국수력원자력 개인정보처리시스템별 개인정보파일 보유현황에 대한 데이터로 개인정보처리시스템명, 파일명, 보유건수, 보유기간, 담당자 및 운영근거 등의 항목을 제공합니다.
Author한국수력원자력(주)
URLhttps://www.data.go.kr/data/15085850/fileData.do

Alerts

연번 is highly overall correlated with 보유건수High correlation
보유건수 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
파일명 has unique valuesUnique
보유건수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:35:53.152642
Analysis finished2023-12-12 12:35:54.189283
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:35:54.281884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-12T21:35:54.438917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%
Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
대표홈페이지
전자상거래시스템
업무용PC, 종이문서
방사선환경관리시스템
통합출입관리시스템
Other values (5)

Length

Max length14
Median length11
Mean length8.0952381
Min length6

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row전자상거래시스템
2nd row전자상거래시스템
3rd row전자상거래시스템
4th row전자상거래시스템
5th row방사선환경관리시스템

Common Values

ValueCountFrequency (%)
대표홈페이지 7
33.3%
전자상거래시스템 4
19.0%
업무용PC, 종이문서 3
14.3%
방사선환경관리시스템 1
 
4.8%
통합출입관리시스템 1
 
4.8%
PET-CT 종합검진시스템 1
 
4.8%
채용관리시스템 1
 
4.8%
동반성장아카데미 1
 
4.8%
동반성장 아카데미 1
 
4.8%
이러닝시스템 1
 
4.8%

Length

2023-12-12T21:35:54.611564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:54.774848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표홈페이지 7
26.9%
전자상거래시스템 4
15.4%
업무용pc 3
11.5%
종이문서 3
11.5%
방사선환경관리시스템 1
 
3.8%
통합출입관리시스템 1
 
3.8%
pet-ct 1
 
3.8%
종합검진시스템 1
 
3.8%
채용관리시스템 1
 
3.8%
동반성장아카데미 1
 
3.8%
Other values (3) 3
11.5%

파일명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:35:55.006800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length16
Mean length11.809524
Min length4

Characters and Unicode

Total characters248
Distinct characters111
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row퇴직자 정보
2nd row회원가입정보
3rd row대표자 정보
4th row입찰대리인
5th row원전 방사선작업종사자
ValueCountFrequency (%)
정보 8
 
16.7%
기업성장응답센터 2
 
4.2%
교육생 2
 
4.2%
기량검증 1
 
2.1%
피해신고 1
 
2.1%
공공데이터 1
 
2.1%
품질신고 1
 
2.1%
체육시설 1
 
2.1%
예약 1
 
2.1%
한국형 1
 
2.1%
Other values (29) 29
60.4%
2023-12-12T21:35:55.337422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
10.9%
14
 
5.6%
11
 
4.4%
11
 
4.4%
r 5
 
2.0%
5
 
2.0%
5
 
2.0%
4
 
1.6%
4
 
1.6%
e 4
 
1.6%
Other values (101) 158
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
71.8%
Space Separator 27
 
10.9%
Lowercase Letter 25
 
10.1%
Uppercase Letter 15
 
6.0%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
7.9%
11
 
6.2%
11
 
6.2%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
Other values (75) 114
64.0%
Lowercase Letter
ValueCountFrequency (%)
r 5
20.0%
e 4
16.0%
u 2
 
8.0%
a 2
 
8.0%
o 2
 
8.0%
y 2
 
8.0%
n 1
 
4.0%
l 1
 
4.0%
d 1
 
4.0%
t 1
 
4.0%
Other values (4) 4
16.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
20.0%
S 2
13.3%
W 2
13.3%
N 2
13.3%
K 2
13.3%
T 2
13.3%
P 1
 
6.7%
C 1
 
6.7%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
71.8%
Latin 40
 
16.1%
Common 30
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
7.9%
11
 
6.2%
11
 
6.2%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
Other values (75) 114
64.0%
Latin
ValueCountFrequency (%)
r 5
 
12.5%
e 4
 
10.0%
E 3
 
7.5%
u 2
 
5.0%
a 2
 
5.0%
o 2
 
5.0%
S 2
 
5.0%
W 2
 
5.0%
N 2
 
5.0%
K 2
 
5.0%
Other values (12) 14
35.0%
Common
ValueCountFrequency (%)
27
90.0%
( 1
 
3.3%
) 1
 
3.3%
/ 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
71.8%
ASCII 70
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
38.6%
r 5
 
7.1%
e 4
 
5.7%
E 3
 
4.3%
u 2
 
2.9%
a 2
 
2.9%
o 2
 
2.9%
S 2
 
2.9%
W 2
 
2.9%
N 2
 
2.9%
Other values (16) 19
27.1%
Hangul
ValueCountFrequency (%)
14
 
7.9%
11
 
6.2%
11
 
6.2%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
Other values (75) 114
64.0%

보유건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93006.905
Minimum3
Maximum732531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T21:35:55.475042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q1112
median4537
Q339570
95-th percentile565067
Maximum732531
Range732528
Interquartile range (IQR)39458

Descriptive statistics

Standard deviation207012.59
Coefficient of variation (CV)2.2257766
Kurtosis4.8933864
Mean93006.905
Median Absolute Deviation (MAD)4522
Skewness2.4228457
Sum1953145
Variance4.2854214 × 1010
MonotonicityNot monotonic
2023-12-12T21:35:55.636436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
291 1
 
4.8%
47488 1
 
4.8%
1279 1
 
4.8%
8430 1
 
4.8%
281 1
 
4.8%
85 1
 
4.8%
3 1
 
4.8%
18 1
 
4.8%
20 1
 
4.8%
15 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
3 1
4.8%
15 1
4.8%
18 1
4.8%
20 1
4.8%
85 1
4.8%
112 1
4.8%
281 1
4.8%
291 1
4.8%
563 1
4.8%
1279 1
4.8%
ValueCountFrequency (%)
732531 1
4.8%
565067 1
4.8%
413574 1
4.8%
80980 1
4.8%
47488 1
4.8%
39570 1
4.8%
30471 1
4.8%
15680 1
4.8%
12150 1
4.8%
8430 1
4.8%
Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:35:55.841917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.4285714
Min length2

Characters and Unicode

Total characters156
Distinct characters65
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)52.4%

Sample

1st row퇴직일로 부터 3년
2nd row회원탈퇴시까지, 이용기간 1년 경과시
3rd row준영구
4th row준영구
5th row원자로 해체시까지
ValueCountFrequency (%)
1년 6
 
13.6%
3년 3
 
6.8%
3
 
6.8%
부터 2
 
4.5%
준영구 2
 
4.5%
2
 
4.5%
5년 2
 
4.5%
휴면계정 1
 
2.3%
연장 1
 
2.3%
자동 1
 
2.3%
Other values (21) 21
47.7%
2023-12-12T21:35:56.173846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
15.4%
16
 
10.3%
1 11
 
7.1%
7
 
4.5%
4
 
2.6%
4
 
2.6%
, 3
 
1.9%
3
 
1.9%
3
 
1.9%
3
 
1.9%
Other values (55) 78
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
66.7%
Space Separator 24
 
15.4%
Decimal Number 21
 
13.5%
Other Punctuation 5
 
3.2%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
15.4%
7
 
6.7%
4
 
3.8%
4
 
3.8%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
2
 
1.9%
Other values (44) 56
53.8%
Decimal Number
ValueCountFrequency (%)
1 11
52.4%
0 3
 
14.3%
3 3
 
14.3%
5 2
 
9.5%
6 1
 
4.8%
2 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
: 2
40.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
66.7%
Common 52
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
15.4%
7
 
6.7%
4
 
3.8%
4
 
3.8%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
2
 
1.9%
Other values (44) 56
53.8%
Common
ValueCountFrequency (%)
24
46.2%
1 11
21.2%
, 3
 
5.8%
0 3
 
5.8%
3 3
 
5.8%
: 2
 
3.8%
5 2
 
3.8%
( 1
 
1.9%
6 1
 
1.9%
2 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
66.7%
ASCII 52
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
46.2%
1 11
21.2%
, 3
 
5.8%
0 3
 
5.8%
3 3
 
5.8%
: 2
 
3.8%
5 2
 
3.8%
( 1
 
1.9%
6 1
 
1.9%
2 1
 
1.9%
Hangul
ValueCountFrequency (%)
16
 
15.4%
7
 
6.7%
4
 
3.8%
4
 
3.8%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
3
 
2.9%
2
 
1.9%
Other values (44) 56
53.8%
Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:35:56.331379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.047619
Min length6

Characters and Unicode

Total characters127
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)42.9%

Sample

1st row임○○ 차장
2nd row임○○ 차장
3rd row임○○ 차장
4th row임○○ 차장
5th row윤○○ 차장
ValueCountFrequency (%)
차장 12
28.6%
김○○ 6
14.3%
임○○ 4
 
9.5%
대리 4
 
9.5%
과장 4
 
9.5%
이○○ 3
 
7.1%
윤○○ 2
 
4.8%
조○○ 1
 
2.4%
연구원 1
 
2.4%
황○○ 1
 
2.4%
Other values (4) 4
 
9.5%
2023-12-12T21:35:56.640085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
33.1%
21
16.5%
16
 
12.6%
12
 
9.4%
6
 
4.7%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.4%
Other values (10) 11
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64
50.4%
Other Symbol 42
33.1%
Space Separator 21
 
16.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
25.0%
12
18.8%
6
 
9.4%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
3
 
4.7%
2
 
3.1%
1
 
1.6%
Other values (8) 8
12.5%
Other Symbol
ValueCountFrequency (%)
42
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64
50.4%
Common 63
49.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
25.0%
12
18.8%
6
 
9.4%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
3
 
4.7%
2
 
3.1%
1
 
1.6%
Other values (8) 8
12.5%
Common
ValueCountFrequency (%)
42
66.7%
21
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64
50.4%
Geometric Shapes 42
33.1%
ASCII 21
 
16.5%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
42
100.0%
ASCII
ValueCountFrequency (%)
21
100.0%
Hangul
ValueCountFrequency (%)
16
25.0%
12
18.8%
6
 
9.4%
4
 
6.2%
4
 
6.2%
4
 
6.2%
4
 
6.2%
3
 
4.7%
2
 
3.1%
1
 
1.6%
Other values (8) 8
12.5%
Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T21:35:56.844994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length88
Mean length46.333333
Min length13

Characters and Unicode

Total characters973
Distinct characters111
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)38.1%

Sample

1st row○ 공직자윤리법 제17조
2nd row○ 개인정보보호법 제15조 1항 정보주체 동의 ○ 전자조달의 이용 및 촉진에 관한 법률 ○ 국가를 당사자로하는 계약에 대한 법률 시행령 제116조
3rd row○ 전자조달의 이용 및 촉진에 관한 법률 ○ 국가를 당사자로하는 계약에 대한 법률 시행령 제116조
4th row○ 전자조달의 이용 및 촉진에 관한 법률 ○ 국가를 당사자로하는 계약에 대한 법률 시행령 제116조
5th row○ 원자력안전법 제91조(방사선장해방지조치) 및 106조(교육훈련) ○ 원자력안전법 시행령 제155조의 2(민감정보 및 고유식별정보의 처리)
ValueCountFrequency (%)
33
15.1%
1항 18
 
8.2%
제15조 16
 
7.3%
정보주체 16
 
7.3%
동의 16
 
7.3%
개인정보보호법 16
 
7.3%
8
 
3.7%
법률 8
 
3.7%
시행령 7
 
3.2%
관한 6
 
2.7%
Other values (49) 75
34.2%
2023-12-12T21:35:57.144289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
20.3%
60
 
6.2%
1 51
 
5.2%
42
 
4.3%
39
 
4.0%
34
 
3.5%
33
 
3.4%
33
 
3.4%
32
 
3.3%
5 20
 
2.1%
Other values (101) 431
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
63.2%
Space Separator 198
 
20.3%
Decimal Number 101
 
10.4%
Other Symbol 33
 
3.4%
Close Punctuation 12
 
1.2%
Open Punctuation 12
 
1.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
 
9.8%
42
 
6.8%
39
 
6.3%
34
 
5.5%
33
 
5.4%
32
 
5.2%
19
 
3.1%
18
 
2.9%
18
 
2.9%
16
 
2.6%
Other values (87) 304
49.4%
Decimal Number
ValueCountFrequency (%)
1 51
50.5%
5 20
 
19.8%
2 11
 
10.9%
6 6
 
5.9%
4 5
 
5.0%
3 3
 
3.0%
7 2
 
2.0%
9 2
 
2.0%
0 1
 
1.0%
Space Separator
ValueCountFrequency (%)
198
100.0%
Other Symbol
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
63.2%
Common 358
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
 
9.8%
42
 
6.8%
39
 
6.3%
34
 
5.5%
33
 
5.4%
32
 
5.2%
19
 
3.1%
18
 
2.9%
18
 
2.9%
16
 
2.6%
Other values (87) 304
49.4%
Common
ValueCountFrequency (%)
198
55.3%
1 51
 
14.2%
33
 
9.2%
5 20
 
5.6%
) 12
 
3.4%
( 12
 
3.4%
2 11
 
3.1%
6 6
 
1.7%
4 5
 
1.4%
3 3
 
0.8%
Other values (4) 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
63.2%
ASCII 325
33.4%
Geometric Shapes 33
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
60.9%
1 51
 
15.7%
5 20
 
6.2%
) 12
 
3.7%
( 12
 
3.7%
2 11
 
3.4%
6 6
 
1.8%
4 5
 
1.5%
3 3
 
0.9%
, 2
 
0.6%
Other values (3) 5
 
1.5%
Hangul
ValueCountFrequency (%)
60
 
9.8%
42
 
6.8%
39
 
6.3%
34
 
5.5%
33
 
5.4%
32
 
5.2%
19
 
3.1%
18
 
2.9%
18
 
2.9%
16
 
2.6%
Other values (87) 304
49.4%
Geometric Shapes
ValueCountFrequency (%)
33
100.0%

Interactions

2023-12-12T21:35:53.692473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:53.491118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:53.844386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:53.597631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:35:57.233307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번처리시스템명파일명보유건수보유기간(기타)담당자운영근거
연번1.0000.9251.0000.6870.9640.7700.816
처리시스템명0.9251.0001.0000.8850.9490.9380.911
파일명1.0001.0001.0001.0001.0001.0001.000
보유건수0.6870.8851.0001.0000.8220.0000.875
보유기간(기타)0.9640.9491.0000.8221.0000.5411.000
담당자0.7700.9381.0000.0000.5411.0000.578
운영근거0.8160.9111.0000.8751.0000.5781.000
2023-12-12T21:35:57.326595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번보유건수처리시스템명
연번1.000-0.6470.469
보유건수-0.6471.0000.448
처리시스템명0.4690.4481.000

Missing values

2023-12-12T21:35:53.981971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:35:54.127934image/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

연번처리시스템명파일명보유건수보유기간(기타)담당자운영근거
01전자상거래시스템퇴직자 정보291퇴직일로 부터 3년임○○ 차장○ 공직자윤리법 제17조
12전자상거래시스템회원가입정보47488회원탈퇴시까지, 이용기간 1년 경과시임○○ 차장○ 개인정보보호법 제15조 1항 정보주체 동의 ○ 전자조달의 이용 및 촉진에 관한 법률 ○ 국가를 당사자로하는 계약에 대한 법률 시행령 제116조
23전자상거래시스템대표자 정보732531준영구임○○ 차장○ 전자조달의 이용 및 촉진에 관한 법률 ○ 국가를 당사자로하는 계약에 대한 법률 시행령 제116조
34전자상거래시스템입찰대리인413574준영구임○○ 차장○ 전자조달의 이용 및 촉진에 관한 법률 ○ 국가를 당사자로하는 계약에 대한 법률 시행령 제116조
45방사선환경관리시스템원전 방사선작업종사자80980원자로 해체시까지윤○○ 차장○ 원자력안전법 제91조(방사선장해방지조치) 및 106조(교육훈련) ○ 원자력안전법 시행령 제155조의 2(민감정보 및 고유식별정보의 처리)
56통합출입관리시스템발전소 출입자 정보565067방호구역:10년, 그외구역:1년조○○ 차장○ 보안업무규정(대통령령 제29321호) 제32조(보호구역) 및 제46조(고유식별정보의 처리)
67PET-CT 종합검진시스템PET/CT 검사자 정보1568020년김○○ 연구원○ 의료법 제 22조 동법 시행규칙 제 14조 ○ 의료법 시행령 제 42조의2(민감정보 및 고유식별정보의 처리) ○ 개인정보보호법 제15조 1항 정보주체 동의
78채용관리시스템입사지원자 정보30471채용완료 후 6개월김○○ 차장○ 개인정보보호법 제15조 1항 정보주체 동의 ○ 채용절차의 공정화에 관한 법률 제7조(전자우편 등을 통한 채용서류의 접수), 동법 시행렬 제3조(채용서류의 보관기간)
89동반성장아카데미직업능력개발훈련과정 교육생 정보5633년황○○ 과장○ 고용보험법 시행령 제145조의2(고유식별정보처리) 1항 ○ 개인정보보호법 제15조 1항 정보주체 동의
910동반성장 아카데미국가인적자원개발컨소시엄 교육생 정보45373년김○○ 과장○ 고용보험법 시행령 제145조의2(고유식별정보처리) 1항 ○ 개인정보보호법 제15조 1항 정보주체 동의
연번처리시스템명파일명보유건수보유기간(기타)담당자운영근거
1112대표홈페이지이메일문의자1121년이○○ 대리○ 개인정보보호법 제15조 1항 정보주체 동의
1213대표홈페이지문자수신자12150신청자 취소 시까지이○○ 대리○ 개인정보보호법 제15조 1항 정보주체 동의
1314대표홈페이지문의 작성자15답변일로 부터 1개월이○○ 대리○ 개인정보보호법 제15조 1항 정보주체 동의
1415대표홈페이지기업성장응답센터 규제애로해소요청205년안○○ 차장○ 개인정보보호법 제15조 1항 정보주체 동의
1516대표홈페이지기업성장응답센터 피해신고185년김○○ 차장○ 개인정보보호법 제15조 1항 정보주체 동의
1617대표홈페이지공공데이터 품질신고31년윤○○ 차장○ 개인정보보호법 제15조 1항 정보주체 동의
1718대표홈페이지체육시설 예약851년권○○ 과장○ 개인정보보호법 제15조 1항 정보주체 동의
1819업무용PC, 종이문서한국형 기량검증 자격보유자 정보2811년(자격 갱신 시 자동 연장)박○○ 차장○ 개인정보보호법 제15조 1항 정보주체 동의 ○ 원자로시설의 가동중검사에 관한 규정 제11조(비파괴검사 기량검증)
1920업무용PC, 종이문서KNEWS(Korea Nuclear Energy Workers Study) 오프라인843010년김○○ 차장○ 개인정보보호법 제15조 1항 정보주체 동의 ○ 생명윤리 및 안전에 관한 법률 제2조, 16조
2021업무용PC, 종이문서협력사종합검진 프로그램 신청자12791년김○○ 대리○ 개인정보보호법 제15조 1항 정보주체 동의