Overview

Dataset statistics

Number of variables9
Number of observations2435
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory176.1 KiB
Average record size in memory74.1 B

Variable types

Text3
DateTime2
Numeric2
Categorical2

Dataset

Description한국중부발전(주)의 일상감사 현황 정보이며, 항목명은 "연번", "접수일자", "소관부서", "건명", "사업비", "예산절감금액", "감사결과", "감사일자", "조치확인"으로 이루어져 있습니다.
URLhttps://www.data.go.kr/data/15116888/fileData.do

Alerts

조치확인 is highly overall correlated with 감사결과High correlation
감사결과 is highly overall correlated with 조치확인High correlation
사업비 is highly overall correlated with 예산절감금액High correlation
예산절감금액 is highly overall correlated with 사업비High correlation
사업비 is highly skewed (γ1 = 39.03464444)Skewed
예산절감금액 is highly skewed (γ1 = 49.29534012)Skewed
연번 has unique valuesUnique
사업비 has 2110 (86.7%) zerosZeros
예산절감금액 has 2193 (90.1%) zerosZeros

Reproduction

Analysis started2023-12-12 09:23:44.898931
Analysis finished2023-12-12 09:23:46.933004
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

UNIQUE 

Distinct2435
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2023-12-12T18:23:47.590395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters24350
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

Unique2435 ?
Unique (%)100.0%

Sample

1st row2022-02435
2nd row2022-02434
3rd row2022-02433
4th row2022-02432
5th row2022-02431
ValueCountFrequency (%)
2022-02435 1
 
< 0.1%
2022-00810 1
 
< 0.1%
2022-00801 1
 
< 0.1%
2022-00816 1
 
< 0.1%
2022-00815 1
 
< 0.1%
2022-00814 1
 
< 0.1%
2022-00813 1
 
< 0.1%
2022-00812 1
 
< 0.1%
2022-00811 1
 
< 0.1%
2022-00808 1
 
< 0.1%
Other values (2425) 2425
99.6%
2023-12-12T18:23:48.123003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8535
35.1%
0 6660
27.4%
- 2435
 
10.0%
1 1794
 
7.4%
3 790
 
3.2%
4 720
 
3.0%
5 684
 
2.8%
7 683
 
2.8%
8 683
 
2.8%
9 683
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21915
90.0%
Dash Punctuation 2435
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8535
38.9%
0 6660
30.4%
1 1794
 
8.2%
3 790
 
3.6%
4 720
 
3.3%
5 684
 
3.1%
7 683
 
3.1%
8 683
 
3.1%
9 683
 
3.1%
6 683
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 2435
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8535
35.1%
0 6660
27.4%
- 2435
 
10.0%
1 1794
 
7.4%
3 790
 
3.2%
4 720
 
3.0%
5 684
 
2.8%
7 683
 
2.8%
8 683
 
2.8%
9 683
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8535
35.1%
0 6660
27.4%
- 2435
 
10.0%
1 1794
 
7.4%
3 790
 
3.2%
4 720
 
3.0%
5 684
 
2.8%
7 683
 
2.8%
8 683
 
2.8%
9 683
 
2.8%

접수일자
Date

Distinct247
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T18:23:48.308853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:48.484852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관부서
Text

Distinct105
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2023-12-12T18:23:48.787834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length6.1199179
Min length3

Characters and Unicode

Total characters14902
Distinct characters140
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.7%

Sample

1st row제어기술부
2nd row풍력사업부
3rd row(복합)기계기술부
4th row해외사업기획부
5th row(2발)전기기술부
ValueCountFrequency (%)
제어기술부 129
 
5.3%
시설관리부 108
 
4.4%
발전운영실 90
 
3.7%
경영기획부 86
 
3.5%
전기기술부 77
 
3.2%
기계기술부 76
 
3.1%
3발)기계기술부 74
 
3.0%
연료기술부 70
 
2.9%
보일러기술부 69
 
2.8%
터빈기술부 66
 
2.7%
Other values (95) 1590
65.3%
2023-12-12T18:23:49.327096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 1933
 
13.0%
기 1674
 
11.2%
술 1033
 
6.9%
) 639
 
4.3%
( 639
 
4.3%
발 486
 
3.3%
실 454
 
3.0%
전 400
 
2.7%
보 315
 
2.1%
경 290
 
1.9%
Other values (130) 7039
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13083
87.8%
Close Punctuation 639
 
4.3%
Open Punctuation 639
 
4.3%
Decimal Number 377
 
2.5%
Uppercase Letter 164
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1933
 
14.8%
기 1674
 
12.8%
술 1033
 
7.9%
발 486
 
3.7%
실 454
 
3.5%
전 400
 
3.1%
보 315
 
2.4%
경 290
 
2.2%
계 286
 
2.2%
영 270
 
2.1%
Other values (114) 5942
45.4%
Uppercase Letter
ValueCountFrequency (%)
G 35
21.3%
N 26
15.9%
L 26
15.9%
T 20
12.2%
C 18
11.0%
I 18
11.0%
E 9
 
5.5%
S 9
 
5.5%
W 1
 
0.6%
P 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 195
51.7%
3 162
43.0%
1 20
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 639
100.0%
Open Punctuation
ValueCountFrequency (%)
( 639
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13083
87.8%
Common 1655
 
11.1%
Latin 164
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1933
 
14.8%
기 1674
 
12.8%
술 1033
 
7.9%
발 486
 
3.7%
실 454
 
3.5%
전 400
 
3.1%
보 315
 
2.4%
경 290
 
2.2%
계 286
 
2.2%
영 270
 
2.1%
Other values (114) 5942
45.4%
Latin
ValueCountFrequency (%)
G 35
21.3%
N 26
15.9%
L 26
15.9%
T 20
12.2%
C 18
11.0%
I 18
11.0%
E 9
 
5.5%
S 9
 
5.5%
W 1
 
0.6%
P 1
 
0.6%
Common
ValueCountFrequency (%)
) 639
38.6%
( 639
38.6%
2 195
 
11.8%
3 162
 
9.8%
1 20
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13083
87.8%
ASCII 1819
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 1933
 
14.8%
기 1674
 
12.8%
술 1033
 
7.9%
발 486
 
3.7%
실 454
 
3.5%
전 400
 
3.1%
보 315
 
2.4%
경 290
 
2.2%
계 286
 
2.2%
영 270
 
2.1%
Other values (114) 5942
45.4%
ASCII
ValueCountFrequency (%)
) 639
35.1%
( 639
35.1%
2 195
 
10.7%
3 162
 
8.9%
G 35
 
1.9%
N 26
 
1.4%
L 26
 
1.4%
T 20
 
1.1%
1 20
 
1.1%
C 18
 
1.0%
Other values (6) 39
 
2.1%

건명
Text

Distinct2362
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2023-12-12T18:23:49.668373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length52
Mean length30.124025
Min length4

Characters and Unicode

Total characters73352
Distinct characters613
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2306 ?
Unique (%)94.7%

Sample

1st row복합 1호기 수질분석설비 제작 구매
2nd row보령해상풍력 풍황계측기 지질조사 용역 시행
3rd row복합 공기조화설비 필터 구매
4th row해외 파견자 및 출장자 안전관리 용역 준공
5th row준공검사보고서(제2발전소 3,4호기 소방시설 개선공사)
ValueCountFrequency (%)
시행 669
 
4.5%
구매 428
 
2.9%
및 322
 
2.2%
2022년도 205
 
1.4%
용역 204
 
1.4%
신보령 182
 
1.2%
2022년 177
 
1.2%
보고 150
 
1.0%
준공 129
 
0.9%
기성고 111
 
0.7%
Other values (3829) 12338
82.7%
2023-12-12T18:23:50.367090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12512
 
17.1%
2 2191
 
3.0%
기 1583
 
2.2%
사 1498
 
2.0%
보 1325
 
1.8%
공 1202
 
1.6%
비 1149
 
1.6%
( 1088
 
1.5%
) 1085
 
1.5%
시 1056
 
1.4%
Other values (603) 48663
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46369
63.2%
Space Separator 12512
 
17.1%
Decimal Number 4417
 
6.0%
Lowercase Letter 3730
 
5.1%
Uppercase Letter 3073
 
4.2%
Open Punctuation 1236
 
1.7%
Close Punctuation 1231
 
1.7%
Other Punctuation 510
 
0.7%
Dash Punctuation 122
 
0.2%
Math Symbol 69
 
0.1%
Other values (6) 83
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1583
 
3.4%
사 1498
 
3.2%
보 1325
 
2.9%
공 1202
 
2.6%
비 1149
 
2.5%
시 1056
 
2.3%
설 970
 
2.1%
제 903
 
1.9%
전 895
 
1.9%
계 849
 
1.8%
Other values (514) 34939
75.3%
Lowercase Letter
ValueCountFrequency (%)
e 547
14.7%
r 369
9.9%
a 356
9.5%
l 301
 
8.1%
t 297
 
8.0%
o 265
 
7.1%
i 241
 
6.5%
n 234
 
6.3%
u 157
 
4.2%
s 134
 
3.6%
Other values (15) 829
22.2%
Uppercase Letter
ValueCountFrequency (%)
S 332
 
10.8%
P 330
 
10.7%
C 317
 
10.3%
T 224
 
7.3%
B 199
 
6.5%
O 164
 
5.3%
G 149
 
4.8%
M 142
 
4.6%
A 137
 
4.5%
H 122
 
4.0%
Other values (13) 957
31.1%
Decimal Number
ValueCountFrequency (%)
2 2191
49.6%
0 684
 
15.5%
1 494
 
11.2%
3 299
 
6.8%
8 169
 
3.8%
4 168
 
3.8%
6 136
 
3.1%
7 114
 
2.6%
5 112
 
2.5%
9 50
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 318
62.4%
# 93
 
18.2%
· 61
 
12.0%
& 20
 
3.9%
' 15
 
2.9%
′ 2
 
0.4%
% 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1088
88.0%
[ 83
 
6.7%
「 45
 
3.6%
『 18
 
1.5%
【 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1085
88.1%
] 81
 
6.6%
」 45
 
3.7%
』 18
 
1.5%
】 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 68
98.6%
→ 1
 
1.4%
Initial Punctuation
ValueCountFrequency (%)
‘ 22
95.7%
“ 1
 
4.3%
Other Symbol
ValueCountFrequency (%)
㈜ 22
95.7%
㎸ 1
 
4.3%
Final Punctuation
ValueCountFrequency (%)
’ 14
93.3%
” 1
 
6.7%
Modifier Symbol
ValueCountFrequency (%)
` 7
87.5%
´ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
12512
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46377
63.2%
Common 20158
27.5%
Latin 6803
 
9.3%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1583
 
3.4%
사 1498
 
3.2%
보 1325
 
2.9%
공 1202
 
2.6%
비 1149
 
2.5%
시 1056
 
2.3%
설 970
 
2.1%
제 903
 
1.9%
전 895
 
1.9%
계 849
 
1.8%
Other values (503) 34947
75.4%
Latin
ValueCountFrequency (%)
e 547
 
8.0%
r 369
 
5.4%
a 356
 
5.2%
S 332
 
4.9%
P 330
 
4.9%
C 317
 
4.7%
l 301
 
4.4%
t 297
 
4.4%
o 265
 
3.9%
i 241
 
3.5%
Other values (38) 3448
50.7%
Common
ValueCountFrequency (%)
12512
62.1%
2 2191
 
10.9%
( 1088
 
5.4%
) 1085
 
5.4%
0 684
 
3.4%
1 494
 
2.5%
, 318
 
1.6%
3 299
 
1.5%
8 169
 
0.8%
4 168
 
0.8%
Other values (30) 1150
 
5.7%
Han
ValueCountFrequency (%)
新 3
21.4%
安 1
 
7.1%
全 1
 
7.1%
名 1
 
7.1%
家 1
 
7.1%
案 1
 
7.1%
社 1
 
7.1%
視 1
 
7.1%
巡 1
 
7.1%
度 1
 
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46355
63.2%
ASCII 26726
36.4%
None 215
 
0.3%
Punctuation 40
 
0.1%
CJK 14
 
< 0.1%
CJK Compat 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12512
46.8%
2 2191
 
8.2%
( 1088
 
4.1%
) 1085
 
4.1%
0 684
 
2.6%
e 547
 
2.0%
1 494
 
1.8%
r 369
 
1.4%
a 356
 
1.3%
S 332
 
1.2%
Other values (62) 7068
26.4%
Hangul
ValueCountFrequency (%)
기 1583
 
3.4%
사 1498
 
3.2%
보 1325
 
2.9%
공 1202
 
2.6%
비 1149
 
2.5%
시 1056
 
2.3%
설 970
 
2.1%
제 903
 
1.9%
전 895
 
1.9%
계 849
 
1.8%
Other values (502) 34925
75.3%
None
ValueCountFrequency (%)
· 61
28.4%
」 45
20.9%
「 45
20.9%
㈜ 22
 
10.2%
』 18
 
8.4%
『 18
 
8.4%
】 2
 
0.9%
【 2
 
0.9%
₂ 1
 
0.5%
´ 1
 
0.5%
Punctuation
ValueCountFrequency (%)
‘ 22
55.0%
’ 14
35.0%
′ 2
 
5.0%
“ 1
 
2.5%
” 1
 
2.5%
CJK
ValueCountFrequency (%)
新 3
21.4%
安 1
 
7.1%
全 1
 
7.1%
名 1
 
7.1%
家 1
 
7.1%
案 1
 
7.1%
社 1
 
7.1%
視 1
 
7.1%
巡 1
 
7.1%
度 1
 
7.1%
Other values (2) 2
14.3%
CJK Compat
ValueCountFrequency (%)
㎸ 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

사업비
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct323
Distinct (%)13.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean471649.32
Minimum0
Maximum5.6497001 × 108
Zeros2110
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2023-12-12T18:23:50.547739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile138172.7
Maximum5.6497001 × 108
Range5.6497001 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12797575
Coefficient of variation (CV)27.133665
Kurtosis1632.0859
Mean471649.32
Median Absolute Deviation (MAD)0
Skewness39.034644
Sum1.1479945 × 109
Variance1.6377792 × 1014
MonotonicityNot monotonic
2023-12-12T18:23:50.703756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2110
86.7%
160800 2
 
0.1%
2268000 2
 
0.1%
412764 1
 
< 0.1%
406678 1
 
< 0.1%
26450 1
 
< 0.1%
406923 1
 
< 0.1%
22501 1
 
< 0.1%
48264 1
 
< 0.1%
247446 1
 
< 0.1%
Other values (313) 313
 
12.9%
ValueCountFrequency (%)
0 2110
86.7%
9169 1
 
< 0.1%
11253 1
 
< 0.1%
12107 1
 
< 0.1%
13622 1
 
< 0.1%
15305 1
 
< 0.1%
17400 1
 
< 0.1%
17667 1
 
< 0.1%
20060 1
 
< 0.1%
20876 1
 
< 0.1%
ValueCountFrequency (%)
564970006 1
< 0.1%
264430269 1
< 0.1%
82330601 1
< 0.1%
34205369 1
< 0.1%
26019047 1
< 0.1%
18240468 1
< 0.1%
17367839 1
< 0.1%
16000000 1
< 0.1%
9969164 1
< 0.1%
6177100 1
< 0.1%

예산절감금액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct240
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31594141
Minimum-56666000
Maximum7.1649814 × 1010
Zeros2193
Zeros (%)90.1%
Negative41
Negative (%)1.7%
Memory size21.5 KiB
2023-12-12T18:23:50.851021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-56666000
5-th percentile0
Q10
median0
Q30
95-th percentile759117
Maximum7.1649814 × 1010
Range7.170648 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4524519 × 109
Coefficient of variation (CV)45.972191
Kurtosis2431.6496
Mean31594141
Median Absolute Deviation (MAD)0
Skewness49.29534
Sum7.6931734 × 1010
Variance2.1096165 × 1018
MonotonicityNot monotonic
2023-12-12T18:23:51.016790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2193
90.1%
620000 2
 
0.1%
-400000 2
 
0.1%
1500000 2
 
0.1%
96217 1
 
< 0.1%
25230000 1
 
< 0.1%
6479000 1
 
< 0.1%
3540000 1
 
< 0.1%
362655 1
 
< 0.1%
12129000 1
 
< 0.1%
Other values (230) 230
 
9.4%
ValueCountFrequency (%)
-56666000 1
< 0.1%
-14878000 1
< 0.1%
-12602761 1
< 0.1%
-7732000 1
< 0.1%
-7403000 1
< 0.1%
-7383000 1
< 0.1%
-6968000 1
< 0.1%
-6218971 1
< 0.1%
-6062000 1
< 0.1%
-5904690 1
< 0.1%
ValueCountFrequency (%)
71649814000 1
< 0.1%
1496616405 1
< 0.1%
677868000 1
< 0.1%
640000000 1
< 0.1%
324000000 1
< 0.1%
304964000 1
< 0.1%
280068800 1
< 0.1%
252700000 1
< 0.1%
152911000 1
< 0.1%
129895000 1
< 0.1%

감사결과
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
적정(의견없음)
1604 
적정(감사의견제시)
831 

Length

Max length10
Median length8
Mean length8.6825462
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적정(감사의견제시)
2nd row적정(의견없음)
3rd row적정(의견없음)
4th row적정(감사의견제시)
5th row적정(의견없음)

Common Values

ValueCountFrequency (%)
적정(의견없음) 1604
65.9%
적정(감사의견제시) 831
34.1%

Length

2023-12-12T18:23:51.198044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:23:51.318993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적정(의견없음 1604
65.9%
적정(감사의견제시 831
34.1%

감사일자
Date

Distinct247
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T18:23:51.422737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:51.602318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조치확인
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
<NA>
1604 
감사의견 수용
830 
기타
 
1

Length

Max length7
Median length4
Mean length5.0217659
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row감사의견 수용
2nd row<NA>
3rd row<NA>
4th row감사의견 수용
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1604
65.9%
감사의견 수용 830
34.1%
기타 1
 
< 0.1%

Length

2023-12-12T18:23:51.784965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:23:51.934204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1604
49.1%
감사의견 830
25.4%
수용 830
25.4%
기타 1
 
< 0.1%

Interactions

2023-12-12T18:23:46.407038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:46.112494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:46.556152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:23:46.242757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:23:52.019349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업비예산절감금액감사결과조치확인
사업비1.0001.0000.0510.000
예산절감금액1.0001.0000.0000.000
감사결과0.0510.0001.000NaN
조치확인0.0000.000NaN1.000
2023-12-12T18:23:52.155013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조치확인감사결과
조치확인1.0001.000
감사결과1.0001.000
2023-12-12T18:23:52.249895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업비예산절감금액감사결과조치확인
사업비1.0000.5600.0340.000
예산절감금액0.5601.0000.0000.000
감사결과0.0340.0001.0001.000
조치확인0.0000.0001.0001.000

Missing values

2023-12-12T18:23:46.713238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:23:46.860733image/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

연번접수일자소관부서건명사업비예산절감금액감사결과감사일자조치확인
02022-024352022-12-30제어기술부복합 1호기 수질분석설비 제작 구매48922696217적정(감사의견제시)2022-12-30감사의견 수용
12022-024342022-12-30풍력사업부보령해상풍력 풍황계측기 지질조사 용역 시행00적정(의견없음)2022-12-30<NA>
22022-024332022-12-30(복합)기계기술부복합 공기조화설비 필터 구매00적정(의견없음)2022-12-30<NA>
32022-024322022-12-30해외사업기획부해외 파견자 및 출장자 안전관리 용역 준공00적정(감사의견제시)2022-12-30감사의견 수용
42022-024312022-12-30(2발)전기기술부준공검사보고서(제2발전소 3,4호기 소방시설 개선공사)00적정(의견없음)2022-12-30<NA>
52022-024302022-12-30터빈기술부2022년 신보령 1,2호기 해수 순환수배관 코팅보수 단가공사 준공검사 보고00적정(의견없음)2022-12-30<NA>
62022-024292022-12-30(2발)터빈기술부준공검사보고서(제2발전소 BFP Mechanical Seal반출정비 단가계약)00적정(의견없음)2022-12-30<NA>
72022-024282022-12-30(2발)터빈기술부준공검사보고서(보령 5,6호기 탈황설비 성능개선 설치조건부)00적정(의견없음)2022-12-30<NA>
82022-024272022-12-30정보보안팀2022년도 정보통신설비 정비공사 준공847940적정(감사의견제시)2022-12-30감사의견 수용
92022-024262022-12-30전기기술부복합3호기 발전기 동기투입장치 구매(설치조건부) 준공174000적정(의견없음)2022-12-30<NA>
연번접수일자소관부서건명사업비예산절감금액감사결과감사일자조치확인
24252022-000102022-01-04경영기획부2021년도 인천발전본부 청소위탁관리용역 준공899380적정(의견없음)2022-01-04<NA>
24262022-000092022-01-03(2발)화학기술부준공검사보고서(2021년 공업용수 관로 점검용역)00적정(의견없음)2022-01-03<NA>
24272022-000082022-01-03연료기술부준공검사보고서(석탄취급설비 위해개소 안전펜스 구매(설치조건부))00적정(의견없음)2022-01-03<NA>
24282022-000072022-01-03연료기술부준공검사보고서(석탄취급설비 Transfer tower 창호교체 연간 단가공사)12534129397적정(감사의견제시)2022-01-03감사의견 수용
24292022-000062022-01-03정보통신부품질검사 협업시스템 보완개발 완료00적정(의견없음)2022-01-03<NA>
24302022-000052022-01-03제어기술부제6회 발전제어분야 IT설비 유지보수 위탁용역 기성고 검사보고00적정(의견없음)2022-01-03<NA>
24312022-000042022-01-03(2발)터빈기술부준공검사보고서(#5,6 탈황 흡수탑 통행로 보강공사)00적정(의견없음)2022-01-03<NA>
24322022-000032022-01-03환경관리실비산먼지 및 악취 측정시스템 유지보수용역 시행00적정(의견없음)2022-01-03<NA>
24332022-000022022-01-03발전운영실2021년도 발전설비 정비용 장비임차 단가용역 준공1160770적정(의견없음)2022-01-03<NA>
24342022-000012022-01-03발전운영실2020년도 발전설비 경상정비공사 준공7604990적정(의견없음)2022-01-03<NA>