Overview

Dataset statistics

Number of variables8
Number of observations1444
Missing cells71
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.8 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Categorical2
Text4
DateTime1

Dataset

Description소재, 부품, 장비와 관련된 데이터 입니다. 소재, 부품, 장비 관련하여 신뢰성 인증에 대한 정보로서 평가기관 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15069358/fileData.do

Alerts

평가기관 is highly overall correlated with 분야High correlation
분야 is highly overall correlated with 평가기관High correlation
인증번호 has 55 (3.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:40:55.683039
Analysis finished2023-12-12 07:40:57.266185
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1444
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean722.5
Minimum1
Maximum1444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2023-12-12T16:40:57.371567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile73.15
Q1361.75
median722.5
Q31083.25
95-th percentile1371.85
Maximum1444
Range1443
Interquartile range (IQR)721.5

Descriptive statistics

Standard deviation416.99121
Coefficient of variation (CV)0.57715046
Kurtosis-1.2
Mean722.5
Median Absolute Deviation (MAD)361
Skewness0
Sum1043290
Variance173881.67
MonotonicityStrictly decreasing
2023-12-12T16:40:57.859785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1444 1
 
0.1%
473 1
 
0.1%
475 1
 
0.1%
476 1
 
0.1%
477 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
Other values (1434) 1434
99.3%
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 (%)
1444 1
0.1%
1443 1
0.1%
1442 1
0.1%
1441 1
0.1%
1440 1
0.1%
1439 1
0.1%
1438 1
0.1%
1437 1
0.1%
1436 1
0.1%
1435 1
0.1%

분야
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
기계부품
376 
전기/전자부품
371 
자동차부품
236 
섬유소재
218 
화학소재
174 
Other values (2)
69 

Length

Max length7
Median length4
Mean length4.9342105
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기계부품 376
26.0%
전기/전자부품 371
25.7%
자동차부품 236
16.3%
섬유소재 218
15.1%
화학소재 174
12.0%
금속소재 60
 
4.2%
<NA> 9
 
0.6%

Length

2023-12-12T16:40:58.025419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:40:58.161855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기계부품 376
26.0%
전기/전자부품 371
25.7%
자동차부품 236
16.3%
섬유소재 218
15.1%
화학소재 174
12.0%
금속소재 60
 
4.2%
na 9
 
0.6%

평가기관
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
한국기계연구원
372 
한국자동차연구원
236 
FITI시험연구원
215 
한국산업기술시험원
119 
전자부품연구원
116 
Other values (12)
386 

Length

Max length13
Median length11
Mean length8.6862881
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한국기계연구원 372
25.8%
한국자동차연구원 236
16.3%
FITI시험연구원 215
14.9%
한국산업기술시험원 119
 
8.2%
전자부품연구원 116
 
8.0%
한국기계전기전자시험연구원 115
 
8.0%
한국건설생활환경시험연구원 86
 
6.0%
한국화학융합시험연구원 50
 
3.5%
포항산업과학연구원 43
 
3.0%
한국화학연구원 40
 
2.8%
Other values (7) 52
 
3.6%

Length

2023-12-12T16:40:58.300283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한국기계연구원 372
25.8%
한국자동차연구원 236
16.3%
fiti시험연구원 215
14.9%
한국산업기술시험원 119
 
8.2%
전자부품연구원 116
 
8.0%
한국기계전기전자시험연구원 115
 
8.0%
한국건설생활환경시험연구원 86
 
6.0%
한국화학융합시험연구원 50
 
3.5%
포항산업과학연구원 43
 
3.0%
한국화학연구원 40
 
2.8%
Other values (7) 52
 
3.6%

인증번호
Text

MISSING 

Distinct1353
Distinct (%)97.4%
Missing55
Missing (%)3.8%
Memory size11.4 KiB
2023-12-12T16:40:58.629361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length11.425486
Min length1

Characters and Unicode

Total characters15870
Distinct characters49
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

Unique1339 ?
Unique (%)96.4%

Sample

1st rowR-RIST-2020-005
2nd rowR-RIST-2020-004
3rd rowR-RIST-2020-003
4th rowR-RIST-2020-002
5th rowR-RIST-2018-002
ValueCountFrequency (%)
1 19
 
1.3%
제 18
 
1.3%
r-ktr 12
 
0.8%
6
 
0.4%
rs-krict-2015-012 3
 
0.2%
2003-27 2
 
0.1%
05-dec 2
 
0.1%
2009-001 2
 
0.1%
r-fiti-2013-014 2
 
0.1%
2005-52 2
 
0.1%
Other values (1352) 1359
95.2%
2023-12-12T16:40:59.027351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3351
21.1%
- 2854
18.0%
2 1646
10.4%
1 1341
 
8.4%
R 987
 
6.2%
K 625
 
3.9%
3 418
 
2.6%
4 372
 
2.3%
I 369
 
2.3%
M 362
 
2.3%
Other values (39) 3545
22.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8791
55.4%
Uppercase Letter 3897
24.6%
Dash Punctuation 2854
 
18.0%
Lowercase Letter 155
 
1.0%
Other Letter 124
 
0.8%
Space Separator 38
 
0.2%
Other Punctuation 9
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 987
25.3%
K 625
16.0%
I 369
 
9.5%
M 362
 
9.3%
T 357
 
9.2%
S 263
 
6.7%
A 235
 
6.0%
C 204
 
5.2%
O 156
 
4.0%
E 108
 
2.8%
Other values (6) 231
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
u 21
13.5%
e 21
13.5%
a 20
12.9%
n 15
9.7%
c 13
8.4%
p 13
8.4%
r 12
7.7%
g 7
 
4.5%
b 7
 
4.5%
l 7
 
4.5%
Other values (5) 19
12.3%
Decimal Number
ValueCountFrequency (%)
0 3351
38.1%
2 1646
18.7%
1 1341
15.3%
3 418
 
4.8%
4 372
 
4.2%
5 358
 
4.1%
8 343
 
3.9%
7 327
 
3.7%
6 325
 
3.7%
9 310
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
' 1
 
11.1%
/ 1
 
11.1%
Other Letter
ValueCountFrequency (%)
호 84
67.7%
제 40
32.3%
Dash Punctuation
ValueCountFrequency (%)
- 2854
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11694
73.7%
Latin 4052
 
25.5%
Hangul 124
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 987
24.4%
K 625
15.4%
I 369
 
9.1%
M 362
 
8.9%
T 357
 
8.8%
S 263
 
6.5%
A 235
 
5.8%
C 204
 
5.0%
O 156
 
3.8%
E 108
 
2.7%
Other values (21) 386
 
9.5%
Common
ValueCountFrequency (%)
0 3351
28.7%
- 2854
24.4%
2 1646
14.1%
1 1341
11.5%
3 418
 
3.6%
4 372
 
3.2%
5 358
 
3.1%
8 343
 
2.9%
7 327
 
2.8%
6 325
 
2.8%
Other values (6) 359
 
3.1%
Hangul
ValueCountFrequency (%)
호 84
67.7%
제 40
32.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15746
99.2%
Hangul 124
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3351
21.3%
- 2854
18.1%
2 1646
10.5%
1 1341
 
8.5%
R 987
 
6.3%
K 625
 
4.0%
3 418
 
2.7%
4 372
 
2.4%
I 369
 
2.3%
M 362
 
2.3%
Other values (37) 3421
21.7%
Hangul
ValueCountFrequency (%)
호 84
67.7%
제 40
32.3%

품목
Text

Distinct466
Distinct (%)32.6%
Missing13
Missing (%)0.9%
Memory size11.4 KiB
2023-12-12T16:40:59.324675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length7.5394829
Min length1

Characters and Unicode

Total characters10789
Distinct characters402
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

Unique233 ?
Unique (%)16.3%

Sample

1st row폴리머 피복 파형 강관
2nd row폴리머 피복 파형 강관
3rd row폴리머 피복 파형 강관
4th row폴리머 피복 파형 강관
5th row수도용플라스틱관및이음관
ValueCountFrequency (%)
지오그리드 114
 
4.6%
보강벨트 59
 
2.4%
판넬 59
 
2.4%
옹벽용 59
 
2.4%
강관 51
 
2.1%
수도용 48
 
2.0%
코팅제 47
 
1.9%
자동차용 45
 
1.8%
밸브 33
 
1.3%
교량지지용 29
 
1.2%
Other values (630) 1912
77.9%
2023-12-12T16:40:59.876936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1025
 
9.5%
용 398
 
3.7%
지 217
 
2.0%
터 206
 
1.9%
스 202
 
1.9%
드 192
 
1.8%
리 186
 
1.7%
기 182
 
1.7%
트 179
 
1.7%
이 178
 
1.6%
Other values (392) 7824
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8256
76.5%
Space Separator 1025
 
9.5%
Lowercase Letter 855
 
7.9%
Uppercase Letter 550
 
5.1%
Open Punctuation 30
 
0.3%
Close Punctuation 30
 
0.3%
Other Punctuation 23
 
0.2%
Decimal Number 15
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 398
 
4.8%
지 217
 
2.6%
터 206
 
2.5%
스 202
 
2.4%
드 192
 
2.3%
리 186
 
2.3%
기 182
 
2.2%
트 179
 
2.2%
이 178
 
2.2%
오 163
 
2.0%
Other values (338) 6153
74.5%
Lowercase Letter
ValueCountFrequency (%)
e 124
14.5%
t 91
10.6%
l 89
10.4%
i 76
 
8.9%
r 73
 
8.5%
o 66
 
7.7%
a 58
 
6.8%
n 33
 
3.9%
c 25
 
2.9%
g 24
 
2.8%
Other values (13) 196
22.9%
Uppercase Letter
ValueCountFrequency (%)
C 51
 
9.3%
L 49
 
8.9%
F 45
 
8.2%
B 44
 
8.0%
P 40
 
7.3%
D 40
 
7.3%
S 34
 
6.2%
G 32
 
5.8%
R 29
 
5.3%
E 29
 
5.3%
Other values (12) 157
28.5%
Decimal Number
ValueCountFrequency (%)
6 7
46.7%
1 7
46.7%
2 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 18
78.3%
/ 5
 
21.7%
Space Separator
ValueCountFrequency (%)
1025
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8256
76.5%
Latin 1405
 
13.0%
Common 1128
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 398
 
4.8%
지 217
 
2.6%
터 206
 
2.5%
스 202
 
2.4%
드 192
 
2.3%
리 186
 
2.3%
기 182
 
2.2%
트 179
 
2.2%
이 178
 
2.2%
오 163
 
2.0%
Other values (338) 6153
74.5%
Latin
ValueCountFrequency (%)
e 124
 
8.8%
t 91
 
6.5%
l 89
 
6.3%
i 76
 
5.4%
r 73
 
5.2%
o 66
 
4.7%
a 58
 
4.1%
C 51
 
3.6%
L 49
 
3.5%
F 45
 
3.2%
Other values (35) 683
48.6%
Common
ValueCountFrequency (%)
1025
90.9%
( 30
 
2.7%
) 30
 
2.7%
& 18
 
1.6%
6 7
 
0.6%
1 7
 
0.6%
- 5
 
0.4%
/ 5
 
0.4%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8256
76.5%
ASCII 2533
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1025
40.5%
e 124
 
4.9%
t 91
 
3.6%
l 89
 
3.5%
i 76
 
3.0%
r 73
 
2.9%
o 66
 
2.6%
a 58
 
2.3%
C 51
 
2.0%
L 49
 
1.9%
Other values (44) 831
32.8%
Hangul
ValueCountFrequency (%)
용 398
 
4.8%
지 217
 
2.6%
터 206
 
2.5%
스 202
 
2.4%
드 192
 
2.3%
리 186
 
2.3%
기 182
 
2.2%
트 179
 
2.2%
이 178
 
2.2%
오 163
 
2.0%
Other values (338) 6153
74.5%

제품
Text

Distinct1199
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2023-12-12T16:41:00.179761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length15.612881
Min length2

Characters and Unicode

Total characters22545
Distinct characters546
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1044 ?
Unique (%)72.3%

Sample

1st row하수도용 수밀형 연결구
2nd row하수도용 수밀형 연결구
3rd row토목자재용 배수관
4th row토목자재용 배수관
5th row폴리머 피목 파형강관
ValueCountFrequency (%)
밸브 61
 
1.4%
53
 
1.2%
수도용 40
 
0.9%
자동차용 40
 
0.9%
led 32
 
0.7%
도복장 31
 
0.7%
교량지지용 28
 
0.6%
산업용 28
 
0.6%
강관 27
 
0.6%
승용차용 25
 
0.6%
Other values (1974) 3966
91.6%
2023-12-12T16:41:00.630047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2887
 
12.8%
용 816
 
3.6%
0 592
 
2.6%
( 424
 
1.9%
) 422
 
1.9%
기 418
 
1.9%
- 320
 
1.4%
T 303
 
1.3%
1 287
 
1.3%
터 287
 
1.3%
Other values (536) 15789
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11874
52.7%
Uppercase Letter 3449
 
15.3%
Space Separator 2887
 
12.8%
Decimal Number 1804
 
8.0%
Lowercase Letter 1139
 
5.1%
Open Punctuation 425
 
1.9%
Close Punctuation 423
 
1.9%
Dash Punctuation 322
 
1.4%
Other Punctuation 187
 
0.8%
Other Symbol 16
 
0.1%
Other values (3) 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 816
 
6.9%
기 418
 
3.5%
터 287
 
2.4%
이 261
 
2.2%
스 234
 
2.0%
형 206
 
1.7%
트 176
 
1.5%
도 171
 
1.4%
동 170
 
1.4%
전 160
 
1.3%
Other values (448) 8975
75.6%
Uppercase Letter
ValueCountFrequency (%)
T 303
 
8.8%
D 269
 
7.8%
S 257
 
7.5%
R 251
 
7.3%
C 218
 
6.3%
E 217
 
6.3%
A 206
 
6.0%
G 195
 
5.7%
L 174
 
5.0%
I 174
 
5.0%
Other values (18) 1185
34.4%
Lowercase Letter
ValueCountFrequency (%)
e 134
11.8%
o 123
10.8%
r 103
 
9.0%
t 87
 
7.6%
k 83
 
7.3%
i 81
 
7.1%
a 74
 
6.5%
l 68
 
6.0%
d 50
 
4.4%
p 46
 
4.0%
Other values (17) 290
25.5%
Decimal Number
ValueCountFrequency (%)
0 592
32.8%
1 287
15.9%
5 197
 
10.9%
2 180
 
10.0%
3 163
 
9.0%
8 97
 
5.4%
4 94
 
5.2%
6 88
 
4.9%
7 59
 
3.3%
9 47
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 70
37.4%
, 56
29.9%
. 30
16.0%
* 10
 
5.3%
# 5
 
2.7%
" 4
 
2.1%
& 4
 
2.1%
: 4
 
2.1%
% 3
 
1.6%
' 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 424
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 422
99.8%
] 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 320
99.4%
－ 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
× 14
93.3%
~ 1
 
6.7%
Other Symbol
ValueCountFrequency (%)
® 13
81.2%
℃ 3
 
18.8%
Space Separator
ValueCountFrequency (%)
2887
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11874
52.7%
Common 6083
27.0%
Latin 4582
 
20.3%
Greek 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 816
 
6.9%
기 418
 
3.5%
터 287
 
2.4%
이 261
 
2.2%
스 234
 
2.0%
형 206
 
1.7%
트 176
 
1.5%
도 171
 
1.4%
동 170
 
1.4%
전 160
 
1.3%
Other values (448) 8975
75.6%
Latin
ValueCountFrequency (%)
T 303
 
6.6%
D 269
 
5.9%
S 257
 
5.6%
R 251
 
5.5%
C 218
 
4.8%
E 217
 
4.7%
A 206
 
4.5%
G 195
 
4.3%
L 174
 
3.8%
I 174
 
3.8%
Other values (41) 2318
50.6%
Common
ValueCountFrequency (%)
2887
47.5%
0 592
 
9.7%
( 424
 
7.0%
) 422
 
6.9%
- 320
 
5.3%
1 287
 
4.7%
5 197
 
3.2%
2 180
 
3.0%
3 163
 
2.7%
8 97
 
1.6%
Other values (23) 514
 
8.4%
Greek
ValueCountFrequency (%)
φ 3
50.0%
γ 1
 
16.7%
β 1
 
16.7%
Φ 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11874
52.7%
ASCII 10631
47.2%
None 37
 
0.2%
Letterlike Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2887
27.2%
0 592
 
5.6%
( 424
 
4.0%
) 422
 
4.0%
- 320
 
3.0%
T 303
 
2.9%
1 287
 
2.7%
D 269
 
2.5%
S 257
 
2.4%
R 251
 
2.4%
Other values (69) 4619
43.4%
Hangul
ValueCountFrequency (%)
용 816
 
6.9%
기 418
 
3.5%
터 287
 
2.4%
이 261
 
2.2%
스 234
 
2.0%
형 206
 
1.7%
트 176
 
1.5%
도 171
 
1.4%
동 170
 
1.4%
전 160
 
1.3%
Other values (448) 8975
75.6%
None
ValueCountFrequency (%)
× 14
37.8%
® 13
35.1%
φ 3
 
8.1%
Ø 2
 
5.4%
－ 2
 
5.4%
γ 1
 
2.7%
β 1
 
2.7%
Φ 1
 
2.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%

업체명
Text

Distinct704
Distinct (%)48.9%
Missing3
Missing (%)0.2%
Memory size11.4 KiB
2023-12-12T16:41:00.955779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length7.0333102
Min length2

Characters and Unicode

Total characters10135
Distinct characters374
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique439 ?
Unique (%)30.5%

Sample

1st row(주) 중원
2nd row아텍
3rd row제철산업
4th row아텍
5th row(주) 중원
ValueCountFrequency (%)
주식회사 38
 
2.4%
제코산업(주 35
 
2.2%
주 23
 
1.5%
led 22
 
1.4%
주)삼양사 19
 
1.2%
우리산업(주 18
 
1.2%
e&e 16
 
1.0%
주)대한콜크 14
 
0.9%
모토닉(주 13
 
0.8%
주)에스엠테크텍스 13
 
0.8%
Other values (721) 1347
86.5%
2023-12-12T16:41:01.450284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1096
 
10.8%
( 1050
 
10.4%
) 1050
 
10.4%
스 260
 
2.6%
이 249
 
2.5%
업 222
 
2.2%
산 157
 
1.5%
전 147
 
1.5%
공 144
 
1.4%
대 142
 
1.4%
Other values (364) 5618
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7481
73.8%
Open Punctuation 1050
 
10.4%
Close Punctuation 1050
 
10.4%
Uppercase Letter 305
 
3.0%
Space Separator 117
 
1.2%
Other Symbol 82
 
0.8%
Other Punctuation 21
 
0.2%
Decimal Number 16
 
0.2%
Lowercase Letter 12
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1096
 
14.7%
스 260
 
3.5%
이 249
 
3.3%
업 222
 
3.0%
산 157
 
2.1%
전 147
 
2.0%
공 144
 
1.9%
대 142
 
1.9%
텍 132
 
1.8%
기 127
 
1.7%
Other values (323) 4805
64.2%
Uppercase Letter
ValueCountFrequency (%)
E 60
19.7%
L 29
9.5%
D 27
8.9%
C 23
 
7.5%
S 21
 
6.9%
M 20
 
6.6%
I 17
 
5.6%
P 16
 
5.2%
R 14
 
4.6%
T 14
 
4.6%
Other values (11) 64
21.0%
Lowercase Letter
ValueCountFrequency (%)
t 3
25.0%
o 2
16.7%
d 1
 
8.3%
n 1
 
8.3%
e 1
 
8.3%
v 1
 
8.3%
i 1
 
8.3%
m 1
 
8.3%
u 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 16
76.2%
, 3
 
14.3%
. 2
 
9.5%
Decimal Number
ValueCountFrequency (%)
2 12
75.0%
3 2
 
12.5%
1 2
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 1050
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1050
100.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7563
74.6%
Common 2255
 
22.2%
Latin 317
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1096
 
14.5%
스 260
 
3.4%
이 249
 
3.3%
업 222
 
2.9%
산 157
 
2.1%
전 147
 
1.9%
공 144
 
1.9%
대 142
 
1.9%
텍 132
 
1.7%
기 127
 
1.7%
Other values (324) 4887
64.6%
Latin
ValueCountFrequency (%)
E 60
18.9%
L 29
 
9.1%
D 27
 
8.5%
C 23
 
7.3%
S 21
 
6.6%
M 20
 
6.3%
I 17
 
5.4%
P 16
 
5.0%
R 14
 
4.4%
T 14
 
4.4%
Other values (20) 76
24.0%
Common
ValueCountFrequency (%)
( 1050
46.6%
) 1050
46.6%
117
 
5.2%
& 16
 
0.7%
2 12
 
0.5%
, 3
 
0.1%
3 2
 
0.1%
. 2
 
0.1%
1 2
 
0.1%
- 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7481
73.8%
ASCII 2572
 
25.4%
None 82
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1096
 
14.7%
스 260
 
3.5%
이 249
 
3.3%
업 222
 
3.0%
산 157
 
2.1%
전 147
 
2.0%
공 144
 
1.9%
대 142
 
1.9%
텍 132
 
1.8%
기 127
 
1.7%
Other values (323) 4805
64.2%
ASCII
ValueCountFrequency (%)
( 1050
40.8%
) 1050
40.8%
117
 
4.5%
E 60
 
2.3%
L 29
 
1.1%
D 27
 
1.0%
C 23
 
0.9%
S 21
 
0.8%
M 20
 
0.8%
I 17
 
0.7%
Other values (30) 158
 
6.1%
None
ValueCountFrequency (%)
㈜ 82
100.0%

등록일자
Date

Distinct65
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2010-04-21 00:00:00
Maximum2020-03-25 00:00:00
2023-12-12T16:41:01.628073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:41:01.773303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T16:40:56.712022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:41:01.882092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분야평가기관등록일자
번호1.0000.5640.6730.962
분야0.5641.0001.0000.888
평가기관0.6731.0001.0000.905
등록일자0.9620.8880.9051.000
2023-12-12T16:41:01.976663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가기관분야
평가기관1.0000.994
분야0.9941.000
2023-12-12T16:41:02.065708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분야평가기관
번호1.0000.3390.340
분야0.3391.0000.994
평가기관0.3400.9941.000

Missing values

2023-12-12T16:40:56.878929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:40:57.040453image/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.
2023-12-12T16:40:57.171328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호분야평가기관인증번호품목제품업체명등록일자
01444금속소재포항산업과학연구원R-RIST-2020-005<NA>하수도용 수밀형 연결구(주) 중원2020-03-25
11443금속소재포항산업과학연구원R-RIST-2020-004<NA>하수도용 수밀형 연결구아텍2020-03-25
21442금속소재포항산업과학연구원R-RIST-2020-003폴리머 피복 파형 강관토목자재용 배수관제철산업2020-03-25
31441금속소재포항산업과학연구원R-RIST-2020-002폴리머 피복 파형 강관토목자재용 배수관아텍2020-03-25
41440금속소재포항산업과학연구원R-RIST-2018-002폴리머 피복 파형 강관폴리머 피목 파형강관(주) 중원2020-03-25
51439금속소재포항산업과학연구원R-RIST-2018-001폴리머 피복 파형 강관폴리머 피복 파형강관(주)픽슨이앤씨2020-03-25
61438화학소재한국건설생활환경시험연구원R-KORAS-2019-053수도용플라스틱관및이음관아피즈피피아이평화2020-02-26
71437화학소재한국건설생활환경시험연구원R-KORAS-2019-033수도용 강관 코팅제슈퍼폭시5100, 슈퍼폭시5100 하도삼화페인트공업2020-02-26
81436화학소재한국건설생활환경시험연구원R-KORAS-2019-032수도용 강관 코팅제프로테크 NP-200(RS) 상도, 프로테크 NP-200(RS) 하도노루페인트2020-02-26
91435화학소재한국건설생활환경시험연구원R-KORAS-2019-025수도용 강관 코팅제수도용 도복장 강관 - 내부코팅제(SC-MA202)한국종합철관2020-02-26
번호분야평가기관인증번호품목제품업체명등록일자
143410기계부품한국기계연구원01-May공압실린더조립용 소형 공압실린더(주)우성엠피아이2010-04-21
14359기계부품한국기계연구원01-Apr공압실린더JIG용 소형 공압실린더(주)우성엠피아이2010-04-21
14368기계부품한국기계연구원03-Jun오일펌프상용차용 파워스티어링오일펌프영화산업(주)2010-04-21
14377기계부품한국기계연구원03-Feb유압밸브유압 릴리프밸브세원셀론텍(주)2010-04-21
14386기계부품한국기계연구원03-Jul유압모터굴삭기 주행용 사판식 액셜피스톤 유압모터동명중공업(주)2010-04-21
14395전기/전자부품한국산업기술시험원02-Aug콘덴서폴리프로필렌 필름커패시터김천산업(주)2010-04-21
14404기계부품한국기계연구원01-Mar공압실린더공장자동화용 공압 실린더(주)한화2010-04-21
14413기계부품한국기계연구원03-May방진마운트철도차량용 공기 스프링(주) 유일엔시스2010-04-21
14422기계부품한국기계연구원03-Jan공압밸브공기압용 방향제어밸브(주)삼인2010-04-21
14431기계부품한국기계연구원03-Apr기어박스압연용기어박스(주) 봉 신2010-04-21