Overview

Dataset statistics

Number of variables4
Number of observations543
Missing cells28
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.6 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Text3

Dataset

Description해외규격인증정보는 국가명, 해와규격인증명, 해외규격인증 설명으로 구성되어 있으면 533개 인증정보 제공(중소기업 수출지원센터제공)
URLhttps://www.data.go.kr/data/15071380/fileData.do

Alerts

설명 has 28 (5.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:10:16.415501
Analysis finished2023-12-12 04:10:17.238877
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct543
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272
Minimum1
Maximum543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-12T13:10:17.346750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28.1
Q1136.5
median272
Q3407.5
95-th percentile515.9
Maximum543
Range542
Interquartile range (IQR)271

Descriptive statistics

Standard deviation156.89487
Coefficient of variation (CV)0.57681937
Kurtosis-1.2
Mean272
Median Absolute Deviation (MAD)136
Skewness0
Sum147696
Variance24616
MonotonicityStrictly increasing
2023-12-12T13:10:17.562660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
366 1
 
0.2%
360 1
 
0.2%
361 1
 
0.2%
362 1
 
0.2%
363 1
 
0.2%
364 1
 
0.2%
365 1
 
0.2%
367 1
 
0.2%
2 1
 
0.2%
Other values (533) 533
98.2%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
543 1
0.2%
542 1
0.2%
541 1
0.2%
540 1
0.2%
539 1
0.2%
538 1
0.2%
537 1
0.2%
536 1
0.2%
535 1
0.2%
534 1
0.2%

국가
Text

Distinct60
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T13:10:17.895022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.5432781
Min length2

Characters and Unicode

Total characters1381
Distinct characters99
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)3.5%

Sample

1st row국제
2nd row국제
3rd row국제
4th row국제
5th row국제
ValueCountFrequency (%)
국제 86
15.8%
미국 81
14.9%
esg 56
 
10.3%
유럽 38
 
7.0%
중국 33
 
6.1%
일본 33
 
6.1%
독일 17
 
3.1%
호주 16
 
2.9%
인도 13
 
2.4%
영국 12
 
2.2%
Other values (50) 158
29.1%
2023-12-12T13:10:18.399689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 215
 
15.6%
미 86
 
6.2%
제 86
 
6.2%
E 56
 
4.1%
S 56
 
4.1%
G 56
 
4.1%
일 50
 
3.6%
아 46
 
3.3%
럽 38
 
2.8%
유 38
 
2.8%
Other values (89) 654
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1213
87.8%
Uppercase Letter 168
 
12.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 215
 
17.7%
미 86
 
7.1%
제 86
 
7.1%
일 50
 
4.1%
아 46
 
3.8%
럽 38
 
3.1%
유 38
 
3.1%
중 34
 
2.8%
본 33
 
2.7%
시 24
 
2.0%
Other values (86) 563
46.4%
Uppercase Letter
ValueCountFrequency (%)
E 56
33.3%
S 56
33.3%
G 56
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1213
87.8%
Latin 168
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 215
 
17.7%
미 86
 
7.1%
제 86
 
7.1%
일 50
 
4.1%
아 46
 
3.8%
럽 38
 
3.1%
유 38
 
3.1%
중 34
 
2.8%
본 33
 
2.7%
시 24
 
2.0%
Other values (86) 563
46.4%
Latin
ValueCountFrequency (%)
E 56
33.3%
S 56
33.3%
G 56
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1213
87.8%
ASCII 168
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 215
 
17.7%
미 86
 
7.1%
제 86
 
7.1%
일 50
 
4.1%
아 46
 
3.8%
럽 38
 
3.1%
유 38
 
3.1%
중 34
 
2.8%
본 33
 
2.7%
시 24
 
2.0%
Other values (86) 563
46.4%
ASCII
ValueCountFrequency (%)
E 56
33.3%
S 56
33.3%
G 56
33.3%

인증명
Text

Distinct538
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T13:10:18.942111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length7.8895028
Min length2

Characters and Unicode

Total characters4284
Distinct characters182
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique533 ?
Unique (%)98.2%

Sample

1st rowAEC-Q
2nd rowAEM
3rd rowALE 1.0
4th rowAMCA
5th rowASC
ValueCountFrequency (%)
iso 16
 
2.0%
mark 15
 
1.9%
green 10
 
1.2%
certification 7
 
0.9%
approval 5
 
0.6%
energy 5
 
0.6%
of 5
 
0.6%
seal 5
 
0.6%
중국 5
 
0.6%
certificate 4
 
0.5%
Other values (659) 725
90.4%
2023-12-12T13:10:19.674159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
6.1%
C 227
 
5.3%
A 211
 
4.9%
S 210
 
4.9%
e 176
 
4.1%
I 158
 
3.7%
E 158
 
3.7%
a 148
 
3.5%
i 144
 
3.4%
r 124
 
2.9%
Other values (172) 2468
57.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2018
47.1%
Lowercase Letter 1397
32.6%
Other Letter 293
 
6.8%
Space Separator 260
 
6.1%
Decimal Number 231
 
5.4%
Dash Punctuation 42
 
1.0%
Other Punctuation 23
 
0.5%
Other Symbol 11
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other values (2) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 16
 
5.5%
인 15
 
5.1%
증 12
 
4.1%
국 10
 
3.4%
약 10
 
3.4%
록 10
 
3.4%
등 10
 
3.4%
가 8
 
2.7%
중 8
 
2.7%
제 6
 
2.0%
Other values (99) 188
64.2%
Uppercase Letter
ValueCountFrequency (%)
C 227
11.2%
A 211
 
10.5%
S 210
 
10.4%
I 158
 
7.8%
E 158
 
7.8%
R 115
 
5.7%
N 95
 
4.7%
O 95
 
4.7%
P 93
 
4.6%
M 90
 
4.5%
Other values (17) 566
28.0%
Lowercase Letter
ValueCountFrequency (%)
e 176
12.6%
a 148
10.6%
i 144
10.3%
r 124
 
8.9%
n 108
 
7.7%
o 105
 
7.5%
t 102
 
7.3%
l 70
 
5.0%
c 54
 
3.9%
s 48
 
3.4%
Other values (15) 318
22.8%
Decimal Number
ValueCountFrequency (%)
0 58
25.1%
1 41
17.7%
2 29
12.6%
4 20
 
8.7%
3 19
 
8.2%
7 15
 
6.5%
8 14
 
6.1%
5 13
 
5.6%
6 12
 
5.2%
9 10
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 13
56.5%
. 9
39.1%
& 1
 
4.3%
Other Symbol
ValueCountFrequency (%)
® 7
63.6%
☆ 4
36.4%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3415
79.7%
Common 576
 
13.4%
Hangul 293
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 16
 
5.5%
인 15
 
5.1%
증 12
 
4.1%
국 10
 
3.4%
약 10
 
3.4%
록 10
 
3.4%
등 10
 
3.4%
가 8
 
2.7%
중 8
 
2.7%
제 6
 
2.0%
Other values (99) 188
64.2%
Latin
ValueCountFrequency (%)
C 227
 
6.6%
A 211
 
6.2%
S 210
 
6.1%
e 176
 
5.2%
I 158
 
4.6%
E 158
 
4.6%
a 148
 
4.3%
i 144
 
4.2%
r 124
 
3.6%
R 115
 
3.4%
Other values (42) 1744
51.1%
Common
ValueCountFrequency (%)
260
45.1%
0 58
 
10.1%
- 42
 
7.3%
1 41
 
7.1%
2 29
 
5.0%
4 20
 
3.5%
3 19
 
3.3%
7 15
 
2.6%
8 14
 
2.4%
/ 13
 
2.3%
Other values (11) 65
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3977
92.8%
Hangul 293
 
6.8%
None 8
 
0.2%
Misc Symbols 4
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
 
6.5%
C 227
 
5.7%
A 211
 
5.3%
S 210
 
5.3%
e 176
 
4.4%
I 158
 
4.0%
E 158
 
4.0%
a 148
 
3.7%
i 144
 
3.6%
r 124
 
3.1%
Other values (59) 2161
54.3%
Hangul
ValueCountFrequency (%)
품 16
 
5.5%
인 15
 
5.1%
증 12
 
4.1%
국 10
 
3.4%
약 10
 
3.4%
록 10
 
3.4%
등 10
 
3.4%
가 8
 
2.7%
중 8
 
2.7%
제 6
 
2.0%
Other values (99) 188
64.2%
None
ValueCountFrequency (%)
® 7
87.5%
Ø 1
 
12.5%
Misc Symbols
ValueCountFrequency (%)
☆ 4
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

설명
Text

MISSING 

Distinct500
Distinct (%)97.1%
Missing28
Missing (%)5.2%
Memory size4.4 KiB
2023-12-12T13:10:19.987365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length11.469903
Min length5

Characters and Unicode

Total characters5907
Distinct characters385
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique493 ?
Unique (%)95.7%

Sample

1st row(자동차용전자부품품질인증)
2nd row(장비제조및서비스국제무역협회인증)
3rd row(RFID제품인증)
4th row(공조기시스템국제협회)
5th row(지속가능한 수산물(양식)인증)
ValueCountFrequency (%)
에너지 10
 
1.5%
인증 9
 
1.4%
보호 8
 
1.2%
효율 7
 
1.1%
친환경 6
 
0.9%
미국 6
 
0.9%
유해물질 5
 
0.8%
건축 4
 
0.6%
및 4
 
0.6%
에너지효율 3
 
0.5%
Other values (576) 604
90.7%
2023-12-12T13:10:20.558367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 516
 
8.7%
) 516
 
8.7%
인 253
 
4.3%
증 217
 
3.7%
151
 
2.6%
국 150
 
2.5%
기 132
 
2.2%
제 114
 
1.9%
품 101
 
1.7%
전 88
 
1.5%
Other values (375) 3669
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4563
77.2%
Open Punctuation 516
 
8.7%
Close Punctuation 516
 
8.7%
Space Separator 151
 
2.6%
Uppercase Letter 86
 
1.5%
Lowercase Letter 57
 
1.0%
Dash Punctuation 8
 
0.1%
Other Punctuation 8
 
0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 253
 
5.5%
증 217
 
4.8%
국 150
 
3.3%
기 132
 
2.9%
제 114
 
2.5%
품 101
 
2.2%
전 88
 
1.9%
미 72
 
1.6%
보 66
 
1.4%
안 66
 
1.4%
Other values (328) 3304
72.4%
Uppercase Letter
ValueCountFrequency (%)
C 13
15.1%
I 9
10.5%
T 8
 
9.3%
E 8
 
9.3%
A 8
 
9.3%
S 6
 
7.0%
U 4
 
4.7%
P 3
 
3.5%
M 3
 
3.5%
F 3
 
3.5%
Other values (11) 21
24.4%
Lowercase Letter
ValueCountFrequency (%)
a 8
14.0%
t 7
12.3%
n 6
10.5%
o 5
8.8%
e 5
8.8%
l 5
8.8%
i 5
8.8%
r 5
8.8%
p 2
 
3.5%
d 2
 
3.5%
Other values (5) 7
12.3%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
: 1
 
12.5%
. 1
 
12.5%
* 1
 
12.5%
· 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
5 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 516
100.0%
Close Punctuation
ValueCountFrequency (%)
) 516
100.0%
Space Separator
ValueCountFrequency (%)
151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4563
77.2%
Common 1201
 
20.3%
Latin 143
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 253
 
5.5%
증 217
 
4.8%
국 150
 
3.3%
기 132
 
2.9%
제 114
 
2.5%
품 101
 
2.2%
전 88
 
1.9%
미 72
 
1.6%
보 66
 
1.4%
안 66
 
1.4%
Other values (328) 3304
72.4%
Latin
ValueCountFrequency (%)
C 13
 
9.1%
I 9
 
6.3%
T 8
 
5.6%
E 8
 
5.6%
A 8
 
5.6%
a 8
 
5.6%
t 7
 
4.9%
S 6
 
4.2%
n 6
 
4.2%
o 5
 
3.5%
Other values (26) 65
45.5%
Common
ValueCountFrequency (%)
( 516
43.0%
) 516
43.0%
151
 
12.6%
- 8
 
0.7%
, 4
 
0.3%
: 1
 
0.1%
. 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
* 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4563
77.2%
ASCII 1343
 
22.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 516
38.4%
) 516
38.4%
151
 
11.2%
C 13
 
1.0%
I 9
 
0.7%
T 8
 
0.6%
E 8
 
0.6%
A 8
 
0.6%
a 8
 
0.6%
- 8
 
0.6%
Other values (36) 98
 
7.3%
Hangul
ValueCountFrequency (%)
인 253
 
5.5%
증 217
 
4.8%
국 150
 
3.3%
기 132
 
2.9%
제 114
 
2.5%
품 101
 
2.2%
전 88
 
1.9%
미 72
 
1.6%
보 66
 
1.4%
안 66
 
1.4%
Other values (328) 3304
72.4%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2023-12-12T13:10:16.898955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:10:20.685626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번국가
연번1.0000.991
국가0.9911.000

Missing values

2023-12-12T13:10:17.073513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:10:17.192403image/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

연번국가인증명설명
01국제AEC-Q(자동차용전자부품품질인증)
12국제AEM(장비제조및서비스국제무역협회인증)
23국제ALE 1.0(RFID제품인증)
34국제AMCA(공조기시스템국제협회)
45국제ASC(지속가능한 수산물(양식)인증)
56국제ATP(부패성음식의수송적합승인)
67국제Bluetooth(블루투스제품인증)
78국제BQB(블루투스제품간호환성확보목적의인증)
89국제BRC IOP(국제식품안전협회포장재승인규격)
910국제BRCFOOD(식품안전글로벌규격)
연번국가인증명설명
533534ESGASI(알루미늄 소싱)
534535ESGCCS(재료 흐름)
535536ESGRWS(공급망 관리)
536537ESGISO 45001(안전보건)
537538ESGSA 8000(근로자 보호)
538539ESGISO 16000-40(실내 공기)
539540ESGISO 10004(고객만족)
540541ESGISO 37001(부패 방지)
541542ESGISO 37301(준법경영)
542543ESGEcovadis(지속가능성 평가)