Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows896
Duplicate rows (%)9.0%
Total size in memory791.0 KiB
Average record size in memory81.0 B

Variable types

Text5
DateTime1
Categorical2
Numeric1

Dataset

Description대용량 고객자재정보에 대한 정보입니다. 자료명, 위원회명, 참고내용, 등록일시, 인증기준, 분류기준, 분류명, 인증번호등을 확인 할 수 있습니다.
Author한국전력공사
URLhttps://www.data.go.kr/data/15069013/fileData.do

Alerts

분류기준 has constant value ""Constant
Dataset has 896 (9.0%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 05:40:40.361568
Analysis finished2023-12-12 05:40:41.541812
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:40:41.736921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length12.9903
Min length7

Characters and Unicode

Total characters129903
Distinct characters124
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row5. 배전분야 검토자료
2nd row2. 기술표준실무협의회 자료
3rd row5. 심의요청자료 (배전설계기준)
4th row2. 심의요청자료 (송전선로 지상고기준)
5th row1. 심의요청자료
ValueCountFrequency (%)
자료 8125
26.1%
심의요청 2245
 
7.2%
2 2062
 
6.6%
1 1996
 
6.4%
3 1993
 
6.4%
기술표준위원회 1936
 
6.2%
제개정시행 1857
 
6.0%
4 1788
 
5.7%
기술표준실무협의회 1486
 
4.8%
5 1184
 
3.8%
Other values (72) 6464
20.8%
2023-12-12T14:40:42.133740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21136
 
16.3%
9895
 
7.6%
. 9857
 
7.6%
9815
 
7.6%
4515
 
3.5%
4366
 
3.4%
4023
 
3.1%
3855
 
3.0%
3789
 
2.9%
3774
 
2.9%
Other values (114) 54878
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86037
66.2%
Space Separator 21136
 
16.3%
Decimal Number 10660
 
8.2%
Other Punctuation 9957
 
7.7%
Open Punctuation 887
 
0.7%
Close Punctuation 887
 
0.7%
Uppercase Letter 259
 
0.2%
Lowercase Letter 80
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9895
 
11.5%
9815
 
11.4%
4515
 
5.2%
4366
 
5.1%
4023
 
4.7%
3855
 
4.5%
3789
 
4.4%
3774
 
4.4%
2941
 
3.4%
2784
 
3.2%
Other values (91) 36280
42.2%
Decimal Number
ValueCountFrequency (%)
1 2202
20.7%
2 2154
20.2%
3 2014
18.9%
4 1809
17.0%
5 1224
11.5%
6 508
 
4.8%
9 311
 
2.9%
7 245
 
2.3%
8 153
 
1.4%
0 40
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 47
18.1%
S 47
18.1%
C 33
12.7%
I 33
12.7%
P 33
12.7%
E 33
12.7%
K 33
12.7%
Other Punctuation
ValueCountFrequency (%)
. 9857
99.0%
, 100
 
1.0%
Space Separator
ValueCountFrequency (%)
21136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 887
100.0%
Close Punctuation
ValueCountFrequency (%)
) 887
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86037
66.2%
Common 43527
33.5%
Latin 339
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9895
 
11.5%
9815
 
11.4%
4515
 
5.2%
4366
 
5.1%
4023
 
4.7%
3855
 
4.5%
3789
 
4.4%
3774
 
4.4%
2941
 
3.4%
2784
 
3.2%
Other values (91) 36280
42.2%
Common
ValueCountFrequency (%)
21136
48.6%
. 9857
22.6%
1 2202
 
5.1%
2 2154
 
4.9%
3 2014
 
4.6%
4 1809
 
4.2%
5 1224
 
2.8%
( 887
 
2.0%
) 887
 
2.0%
6 508
 
1.2%
Other values (5) 849
 
2.0%
Latin
ValueCountFrequency (%)
m 80
23.6%
B 47
13.9%
S 47
13.9%
C 33
9.7%
I 33
9.7%
P 33
9.7%
E 33
9.7%
K 33
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86037
66.2%
ASCII 43866
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21136
48.2%
. 9857
22.5%
1 2202
 
5.0%
2 2154
 
4.9%
3 2014
 
4.6%
4 1809
 
4.1%
5 1224
 
2.8%
( 887
 
2.0%
) 887
 
2.0%
6 508
 
1.2%
Other values (13) 1188
 
2.7%
Hangul
ValueCountFrequency (%)
9895
 
11.5%
9815
 
11.4%
4515
 
5.2%
4366
 
5.1%
4023
 
4.7%
3855
 
4.5%
3789
 
4.4%
3774
 
4.4%
2941
 
3.4%
2784
 
3.2%
Other values (91) 36280
42.2%
Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:40:42.300318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters180000
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2008년도 제5차 기술표준위원회
2nd row2010년도 제3차 기술표준위원회
3rd row2003년도 제1차 기술표준위원회
4th row2003년도 제1차 기술표준위원회
5th row2011년도 제1차 기술표준위원회
ValueCountFrequency (%)
기술표준위원회 10000
33.3%
제2차 2735
 
9.1%
제1차 2388
 
8.0%
2008년도 2334
 
7.8%
제3차 2190
 
7.3%
제4차 1685
 
5.6%
2007년도 1200
 
4.0%
2009년도 1092
 
3.6%
2006년도 1008
 
3.4%
2003년도 970
 
3.2%
Other values (15) 4398
14.7%
2023-12-12T14:40:42.561645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20000
 
11.1%
0 18985
 
10.5%
2 13231
 
7.4%
10000
 
5.6%
10000
 
5.6%
10000
 
5.6%
10000
 
5.6%
10000
 
5.6%
10000
 
5.6%
10000
 
5.6%
Other values (12) 57784
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110000
61.1%
Decimal Number 50000
27.8%
Space Separator 20000
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
Decimal Number
ValueCountFrequency (%)
0 18985
38.0%
2 13231
26.5%
1 5072
 
10.1%
3 3174
 
6.3%
8 2343
 
4.7%
4 1806
 
3.6%
6 1514
 
3.0%
9 1431
 
2.9%
7 1261
 
2.5%
5 1183
 
2.4%
Space Separator
ValueCountFrequency (%)
20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110000
61.1%
Common 70000
38.9%

Most frequent character per script

Common
ValueCountFrequency (%)
20000
28.6%
0 18985
27.1%
2 13231
18.9%
1 5072
 
7.2%
3 3174
 
4.5%
8 2343
 
3.3%
4 1806
 
2.6%
6 1514
 
2.2%
9 1431
 
2.0%
7 1261
 
1.8%
Hangul
ValueCountFrequency (%)
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110000
61.1%
ASCII 70000
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20000
28.6%
0 18985
27.1%
2 13231
18.9%
1 5072
 
7.2%
3 3174
 
4.5%
8 2343
 
3.3%
4 1806
 
2.6%
6 1514
 
2.2%
9 1431
 
2.0%
7 1261
 
1.8%
Hangul
ValueCountFrequency (%)
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
10000
9.1%
Distinct66
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:40:42.738539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length21.5042
Min length18

Characters and Unicode

Total characters215042
Distinct characters30
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

Unique0 ?
Unique (%)0.0%

Sample

1st row2008년도 제6차 기술표준위원회 자료
2nd row2010년도 제3차 기술표준위원회 자료
3rd row2003년도 제1차 기술표준위원회 자료
4th row2003년도 제1차 기술표준위원회 자료
5th row2011년도 제1차 기술표준위원회 자료입니다.
ValueCountFrequency (%)
자료 9318
23.6%
기술표준위원회 8951
22.7%
제3차 2568
 
6.5%
제1차 2388
 
6.1%
2008년도 2334
 
5.9%
제2차 2150
 
5.4%
제4차 1297
 
3.3%
제6차 1240
 
3.1%
2007년도 1200
 
3.0%
2009년도 1092
 
2.8%
Other values (22) 6923
17.5%
2023-12-12T14:40:43.059615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29461
 
13.7%
0 18985
 
8.8%
2 13695
 
6.4%
11049
 
5.1%
10000
 
4.7%
10000
 
4.7%
10000
 
4.7%
10000
 
4.7%
10000
 
4.7%
10000
 
4.7%
Other values (20) 81852
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130400
60.6%
Decimal Number 52940
24.6%
Space Separator 29461
 
13.7%
Close Punctuation 1049
 
0.5%
Open Punctuation 1049
 
0.5%
Other Punctuation 143
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11049
 
8.5%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
Other values (6) 29351
22.5%
Decimal Number
ValueCountFrequency (%)
0 18985
35.9%
2 13695
25.9%
1 5072
 
9.6%
8 3613
 
6.8%
3 3552
 
6.7%
6 2616
 
4.9%
4 1636
 
3.1%
9 1431
 
2.7%
7 1261
 
2.4%
5 1079
 
2.0%
Space Separator
ValueCountFrequency (%)
29461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1049
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1049
100.0%
Other Punctuation
ValueCountFrequency (%)
. 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130400
60.6%
Common 84642
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11049
 
8.5%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
Other values (6) 29351
22.5%
Common
ValueCountFrequency (%)
29461
34.8%
0 18985
22.4%
2 13695
16.2%
1 5072
 
6.0%
8 3613
 
4.3%
3 3552
 
4.2%
6 2616
 
3.1%
4 1636
 
1.9%
9 1431
 
1.7%
7 1261
 
1.5%
Other values (4) 3320
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130400
60.6%
ASCII 84642
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29461
34.8%
0 18985
22.4%
2 13695
16.2%
1 5072
 
6.0%
8 3613
 
4.3%
3 3552
 
4.2%
6 2616
 
3.1%
4 1636
 
1.9%
9 1431
 
1.7%
7 1261
 
1.5%
Other values (4) 3320
 
3.9%
Hangul
ValueCountFrequency (%)
11049
 
8.5%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
10000
 
7.7%
Other values (6) 29351
22.5%
Distinct66
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2008-08-05 20:50:00
Maximum2013-03-06 10:57:00
2023-12-12T14:40:43.181750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:40:43.316668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct241
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:40:43.544339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length12.0104
Min length12

Characters and Unicode

Total characters120104
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowES-5340-0010
2nd rowES-4030-0003
3rd rowES-4730-0002
4th rowES-5920-0010
5th rowES-5970-0026
ValueCountFrequency (%)
es-5680-0008 506
 
5.1%
es-6120-0001 340
 
3.4%
es-5950-0016 325
 
3.2%
es-6110-0002 301
 
3.0%
es-6120-0003 256
 
2.6%
es-5950-0014 247
 
2.5%
es-5950-0012 184
 
1.8%
es-5970-0014 164
 
1.6%
es-5950-0017 158
 
1.6%
es-5925-0002 140
 
1.4%
Other values (231) 7379
73.8%
2023-12-12T14:40:43.889861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34235
28.5%
- 20026
16.7%
5 13096
 
10.9%
E 10013
 
8.3%
S 10013
 
8.3%
9 7243
 
6.0%
1 7004
 
5.8%
2 3952
 
3.3%
6 3770
 
3.1%
7 3180
 
2.6%
Other values (3) 7572
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80052
66.7%
Dash Punctuation 20026
 
16.7%
Uppercase Letter 20026
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34235
42.8%
5 13096
 
16.4%
9 7243
 
9.0%
1 7004
 
8.7%
2 3952
 
4.9%
6 3770
 
4.7%
7 3180
 
4.0%
3 2958
 
3.7%
4 2778
 
3.5%
8 1836
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
E 10013
50.0%
S 10013
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 20026
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100078
83.3%
Latin 20026
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34235
34.2%
- 20026
20.0%
5 13096
 
13.1%
9 7243
 
7.2%
1 7004
 
7.0%
2 3952
 
3.9%
6 3770
 
3.8%
7 3180
 
3.2%
3 2958
 
3.0%
4 2778
 
2.8%
Latin
ValueCountFrequency (%)
E 10013
50.0%
S 10013
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34235
28.5%
- 20026
16.7%
5 13096
 
10.9%
E 10013
 
8.3%
S 10013
 
8.3%
9 7243
 
6.0%
1 7004
 
5.8%
2 3952
 
3.3%
6 3770
 
3.1%
7 3180
 
2.6%
Other values (3) 7572
 
6.3%

분류기준
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
표준규격-상세분류
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row표준규격-상세분류
2nd row표준규격-상세분류
3rd row표준규격-상세분류
4th row표준규격-상세분류
5th row표준규격-상세분류

Common Values

ValueCountFrequency (%)
표준규격-상세분류 10000
100.0%

Length

2023-12-12T14:40:44.019283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:40:44.105311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표준규격-상세분류 10000
100.0%

분류명
Categorical

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전주부속품(I)
1469 
변성기
1134 
절연자재
960 
전력용변압기
767 
전주
651 
Other values (38)
5019 

Length

Max length9
Median length8
Mean length4.2744
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금구류
2nd row전선부속품
3rd row전선관이음재
4th row보호장치
5th row절연자재

Common Values

ValueCountFrequency (%)
전주부속품(I) 1469
14.7%
변성기 1134
11.3%
절연자재 960
 
9.6%
전력용변압기 767
 
7.7%
전주 651
 
6.5%
금구류 627
 
6.3%
차단기 541
 
5.4%
개폐장치 457
 
4.6%
볼트 371
 
3.7%
보호장치 353
 
3.5%
Other values (33) 2670
26.7%

Length

2023-12-12T14:40:44.266922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주부속품(i 1469
14.6%
변성기 1134
11.2%
절연자재 960
 
9.5%
전력용변압기 767
 
7.6%
전주 651
 
6.4%
금구류 627
 
6.2%
차단기 541
 
5.4%
개폐장치 457
 
4.5%
볼트 371
 
3.7%
보호장치 353
 
3.5%
Other values (35) 2765
27.4%
Distinct461
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:40:44.547254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length9.4804
Min length7

Characters and Unicode

Total characters94804
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)0.3%

Sample

1st rowKSD 3503
2nd rowKSB 1324
3rd rowKSM 3015
4th rowKSCIEC 60099-4
5th rowES-5970-0010
ValueCountFrequency (%)
ksd 3121
 
16.3%
iec 1231
 
6.4%
3503 1047
 
5.5%
ksb 859
 
4.5%
ksc 704
 
3.7%
kst 588
 
3.1%
ksciec 466
 
2.4%
ieee 447
 
2.3%
0201 342
 
1.8%
ksm 323
 
1.7%
Other values (467) 9983
52.2%
2023-12-12T14:40:44.992847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12250
12.9%
9111
 
9.6%
S 8768
 
9.2%
K 7108
 
7.5%
1 6451
 
6.8%
2 6187
 
6.5%
3 5720
 
6.0%
5 5206
 
5.5%
E 4144
 
4.4%
6 3833
 
4.0%
Other values (25) 26026
27.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47821
50.4%
Uppercase Letter 33582
35.4%
Space Separator 9111
 
9.6%
Dash Punctuation 3762
 
4.0%
Other Punctuation 528
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 8768
26.1%
K 7108
21.2%
E 4144
12.3%
C 3373
 
10.0%
D 3202
 
9.5%
I 2770
 
8.2%
B 886
 
2.6%
T 745
 
2.2%
M 697
 
2.1%
O 524
 
1.6%
Other values (11) 1365
 
4.1%
Decimal Number
ValueCountFrequency (%)
0 12250
25.6%
1 6451
13.5%
2 6187
12.9%
3 5720
12.0%
5 5206
10.9%
6 3833
 
8.0%
7 2309
 
4.8%
9 2207
 
4.6%
4 1907
 
4.0%
8 1751
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 493
93.4%
/ 35
 
6.6%
Space Separator
ValueCountFrequency (%)
9111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3762
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61222
64.6%
Latin 33582
35.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 8768
26.1%
K 7108
21.2%
E 4144
12.3%
C 3373
 
10.0%
D 3202
 
9.5%
I 2770
 
8.2%
B 886
 
2.6%
T 745
 
2.2%
M 697
 
2.1%
O 524
 
1.6%
Other values (11) 1365
 
4.1%
Common
ValueCountFrequency (%)
0 12250
20.0%
9111
14.9%
1 6451
10.5%
2 6187
10.1%
3 5720
9.3%
5 5206
8.5%
6 3833
 
6.3%
- 3762
 
6.1%
7 2309
 
3.8%
9 2207
 
3.6%
Other values (4) 4186
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12250
12.9%
9111
 
9.6%
S 8768
 
9.2%
K 7108
 
7.5%
1 6451
 
6.8%
2 6187
 
6.5%
3 5720
 
6.0%
5 5206
 
5.5%
E 4144
 
4.4%
6 3833
 
4.0%
Other values (25) 26026
27.5%

연결연도
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.6119
Minimum1996
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:40:45.129258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1996
5-th percentile2001
Q12005
median2007
Q32009
95-th percentile2011
Maximum2013
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0401978
Coefficient of variation (CV)0.0015150901
Kurtosis0.17556627
Mean2006.6119
Median Absolute Deviation (MAD)2
Skewness-0.706004
Sum20066119
Variance9.2428027
MonotonicityNot monotonic
2023-12-12T14:40:45.250580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2008 2334
23.3%
2007 1200
12.0%
2009 1092
10.9%
2006 1008
10.1%
2003 970
9.7%
2010 656
 
6.6%
2005 649
 
6.5%
2011 621
 
6.2%
2002 485
 
4.9%
2001 463
 
4.6%
Other values (8) 522
 
5.2%
ValueCountFrequency (%)
1996 38
 
0.4%
1997 61
 
0.6%
1998 9
 
0.1%
1999 41
 
0.4%
2000 78
 
0.8%
2001 463
4.6%
2002 485
4.9%
2003 970
9.7%
2004 121
 
1.2%
2005 649
6.5%
ValueCountFrequency (%)
2013 14
 
0.1%
2012 160
 
1.6%
2011 621
 
6.2%
2010 656
 
6.6%
2009 1092
10.9%
2008 2334
23.3%
2007 1200
12.0%
2006 1008
10.1%
2005 649
 
6.5%
2004 121
 
1.2%

Interactions

2023-12-12T14:40:41.140430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:40:45.345611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료명위원회명참고내용등록일시분류명연결연도
자료명1.0000.9890.9890.9860.3570.946
위원회명0.9891.0001.0001.0000.5511.000
참고내용0.9891.0001.0001.0000.5501.000
등록일시0.9861.0001.0001.0000.5461.000
분류명0.3570.5510.5500.5461.0000.481
연결연도0.9461.0001.0001.0000.4811.000
2023-12-12T14:40:45.464111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연결연도분류명
연결연도1.0000.188
분류명0.1881.000

Missing values

2023-12-12T14:40:41.273944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:40:41.475596image/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

자료명위원회명참고내용등록일시인증기준분류기준분류명인증번호연결연도
444705. 배전분야 검토자료2008년도 제5차 기술표준위원회2008년도 제6차 기술표준위원회 자료2011-09-20 10:47ES-5340-0010표준규격-상세분류금구류KSD 35032008
438922. 기술표준실무협의회 자료2010년도 제3차 기술표준위원회2010년도 제3차 기술표준위원회 자료2011-04-07 11:20ES-4030-0003표준규격-상세분류전선부속품KSB 13242010
211155. 심의요청자료 (배전설계기준)2003년도 제1차 기술표준위원회2003년도 제1차 기술표준위원회 자료2011-10-14 11:05ES-4730-0002표준규격-상세분류전선관이음재KSM 30152003
502802. 심의요청자료 (송전선로 지상고기준)2003년도 제1차 기술표준위원회2003년도 제1차 기술표준위원회 자료2011-10-14 11:05ES-5920-0010표준규격-상세분류보호장치KSCIEC 60099-42003
77581. 심의요청자료2011년도 제1차 기술표준위원회2011년도 제1차 기술표준위원회 자료입니다.2011-08-30 18:03ES-5970-0026표준규격-상세분류절연자재ES-5970-00102011
209102. 기술표준위원회 자료2001년도 제1차 기술표준위원회2001년도 제1차 기술표준위원회 자료2011-10-20 18:10ES-5975-0008표준규격-상세분류전주부속품(I)KSB 10122001
472771. 심의요청자료2007년도 제1차 기술표준위원회2007년도 제1차 기술표준위원회 자료2011-09-20 15:14ES-5680-0003표준규격-상세분류전주KSD 37522007
421863. 기술표준위원회 자료2008년도 제4차 기술표준위원회2008년도 제6차 기술표준위원회 자료2011-09-20 10:53ES-5340-0007표준규격-상세분류금구류KSD 35032008
129231. 심의요청자료2007년도 제1차 기술표준위원회2007년도 제1차 기술표준위원회 자료2011-09-20 15:14ES-5945-0004표준규격-상세분류계전기IEC 60068-2-22007
440433. 기술표준위원회 자료2005년도 제5차 기술표준위원회2005년도 제5차 기술표준위원회 자료2011-10-07 10:13ES-4710-0002표준규격-상세분류전선관KSC 84552005
자료명위원회명참고내용등록일시인증기준분류기준분류명인증번호연결연도
434044. 제개정시행 자료2010년도 제2차 기술표준위원회2010년도 제2차 기술표준위원회 자료2011-04-07 11:17ES-5950-0015표준규격-상세분류변성기ES-9160-00012010
82851. 심의요청 자료 (일반구매규격 표준화)2001년도 제2차 기술표준위원회2001년도 제2차 기술표준위원회 자료2011-10-21 17:16ES-5975-0008표준규격-상세분류전주부속품(I)KSB 10122001
408087. 기술표준위원회 자료2003년도 제2차 기술표준위원회2003년도 제2차 기술표준위원회 자료2011-10-11 14:51ES-5970-0003표준규격-상세분류절연자재KSD 02292003
507701. 심의요청 자료2008년도 제5차 기술표준위원회2008년도 제6차 기술표준위원회 자료2011-09-20 10:47ES-5950-0016표준규격-상세분류변성기KSD 37062008
525843. 기술표준위위원회 자료2009년도 제3차 기술표준위원회2009년도 제3차 기술표준위원회(286차) 자료2011-04-07 10:59ES-4710-0001표준규격-상세분류전선관KSM 30552009
154014. 제개정시행 자료2005년도 제4차 기술표준위원회2005년도 제4차 기술표준위원회2011-10-06 18:22ES-5950-0014표준규격-상세분류변성기IEEE C62.112005
197874. 제개정시행 자료2009년도 제1차 기술표준위원회2009년도 제1차 기술표준위원회(284차) 자료2010-12-13 8:59ES-5970-0008표준규격-상세분류절연자재ASTM C1512009
116993. 기술표준위원회 자료2011년도 제1차 기술표준위원회2011년도 제1차 기술표준위원회 자료입니다.2011-08-30 18:03ES-6110-0002표준규격-상세분류개폐장치ES-5920-00052011
203284. 제개정시행 자료2008년도 제5차 기술표준위원회2008년도 제6차 기술표준위원회 자료2011-09-20 10:47ES-5975-0001표준규격-상세분류전주부속품(I)KSD 35032008
337731. 심의요청 자료2007년도 제3차 기술표준위원회2007년도 제3차 기술표준위원회 자료2011-09-21 14:40ES-5680-0008표준규격-상세분류전주KSF 25082007

Duplicate rows

Most frequently occurring

자료명위원회명참고내용등록일시인증기준분류기준분류명인증번호연결연도# duplicates
3542. 심의요청 자료 (교류차단기 및 가스절연개폐기)2002년도 제2차 기술표준위원회2002년도 제2차 기술표준위원회 자료2011-10-12 14:38ES-5680-0008표준규격-상세분류전주KSF 250520025
401. 심의요청 자료2006년도 제4차 기술표준위원회2006년도 제4차 기술표준위원회 자료2011-09-29 11:56ES-5680-0008표준규격-상세분류전주KSL 520120064
1671. 심의요청자료2007년도 제1차 기술표준위원회2007년도 제1차 기술표준위원회 자료2011-09-20 15:14ES-5680-0008표준규격-상세분류전주KSF 250820074
2362. 기술표준실무협의회 자료2007년도 제1차 기술표준위원회2007년도 제1차 기술표준위원회 자료2011-09-20 15:14ES-5680-0008표준규격-상세분류전주KSF 250820074
2372. 기술표준실무협의회 자료2007년도 제1차 기술표준위원회2007년도 제1차 기술표준위원회 자료2011-09-20 15:14ES-5680-0008표준규격-상세분류전주KSF 252620074
2382. 기술표준실무협의회 자료2007년도 제1차 기술표준위원회2007년도 제1차 기술표준위원회 자료2011-09-20 15:14ES-5680-0008표준규격-상세분류전주KSF 252720074
3372. 기술표준위원회 자료2001년도 제1차 기술표준위원회2001년도 제1차 기술표준위원회 자료2011-10-20 18:10ES-5680-0008표준규격-상세분류전주KSL 511220014
7205. 기타자료2006년도 제3차 기술표준위원회2006년도 제3차 기술표준위원회 자료2011-09-28 17:14ES-5680-0008표준규격-상세분류전주KSL 520120064
7705. 배전분야 검토자료2008년도 제6차 기술표준위원회2008년도 제6차 기술표준위원회 자료2011-09-16 15:22ES-5680-0008표준규격-상세분류전주KSD 350320084
8226. 송변전분야 검토자료2007년도 제3차 기술표준위원회2007년도 제3차 기술표준위원회 자료2011-09-21 14:40ES-5680-0008표준규격-상세분류전주KSF 250820074