Overview

Dataset statistics

Number of variables11
Number of observations2645
Missing cells2797
Missing cells (%)9.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory232.6 KiB
Average record size in memory90.0 B

Variable types

Categorical1
Numeric2
Text8

Dataset

Description환경측정기기 분야별 형식승인 업체현황(굴뚝배출가스 연속자동측정기, 굴뚝시료 채취장치, 대기배출가스 측정기, 대기연속자동측정장치, 대기환경 시료채취장치, 먹는물, 소음(소음계), 소음연속자동측정기, 수질, 실내공기질 시료채취장치, 실내공기질 자동측정기, 자동차, 진동레벨계, 토양)
Author환경부 국립환경과학원
URLhttps://www.data.go.kr/data/15050977/fileData.do

Alerts

일련 번호 is highly overall correlated with 연도High correlation
연도 is highly overall correlated with 일련 번호High correlation
제작사 has 743 (28.1%) missing valuesMissing
제작국 has 747 (28.2%) missing valuesMissing
비고(최초인증일자) has 1307 (49.4%) missing valuesMissing

Reproduction

Analysis started2024-03-14 15:06:40.422784
Analysis finished2024-03-14 15:06:43.350296
Duration2.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야
Categorical

Distinct14
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
굴뚝배출가스 연속자동측정기
603 
수질
467 
자동차
449 
소음측정기기
289 
대기연속자동측정장치
198 
Other values (9)
639 

Length

Max length14
Median length11
Mean length7.5395085
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
굴뚝배출가스 연속자동측정기 603
22.8%
수질 467
17.7%
자동차 449
17.0%
소음측정기기 289
10.9%
대기연속자동측정장치 198
 
7.5%
실내공기질(자동측정기) 166
 
6.3%
먹는물 137
 
5.2%
실내공기질(채취장치) 117
 
4.4%
대기배출가스 측정기 76
 
2.9%
굴뚝시료채취장치 40
 
1.5%
Other values (4) 103
 
3.9%

Length

2024-03-15T00:06:43.481473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
굴뚝배출가스 603
18.1%
연속자동측정기 603
18.1%
수질 467
14.0%
자동차 449
13.5%
소음측정기기 289
8.7%
대기연속자동측정장치 198
 
6.0%
실내공기질(자동측정기 166
 
5.0%
먹는물 137
 
4.1%
실내공기질(채취장치 117
 
3.5%
대기배출가스 76
 
2.3%
Other values (6) 219
 
6.6%

일련 번호
Real number (ℝ)

HIGH CORRELATION 

Distinct606
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.60567
Minimum1
Maximum606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.4 KiB
2024-03-15T00:06:43.798390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q161
median152
Q3312
95-th percentile490.8
Maximum606
Range605
Interquartile range (IQR)251

Descriptive statistics

Standard deviation158.03934
Coefficient of variation (CV)0.80794867
Kurtosis-0.64171688
Mean195.60567
Median Absolute Deviation (MAD)112
Skewness0.67887232
Sum517377
Variance24976.433
MonotonicityNot monotonic
2024-03-15T00:06:44.239097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
0.6%
1 14
 
0.5%
10 14
 
0.5%
2 14
 
0.5%
17 14
 
0.5%
16 14
 
0.5%
12 14
 
0.5%
11 14
 
0.5%
7 14
 
0.5%
9 14
 
0.5%
Other values (596) 2504
94.7%
ValueCountFrequency (%)
1 14
0.5%
2 14
0.5%
3 14
0.5%
4 15
0.6%
5 14
0.5%
6 14
0.5%
7 14
0.5%
8 14
0.5%
9 14
0.5%
10 14
0.5%
ValueCountFrequency (%)
606 1
< 0.1%
605 1
< 0.1%
604 1
< 0.1%
603 1
< 0.1%
602 1
< 0.1%
601 1
< 0.1%
600 1
< 0.1%
599 1
< 0.1%
598 1
< 0.1%
597 1
< 0.1%

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.6949
Minimum1991
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.4 KiB
2024-03-15T00:06:44.637677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile2002
Q12008
median2015
Q32020
95-th percentile2023
Maximum2023
Range32
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.2501443
Coefficient of variation (CV)0.0036004185
Kurtosis0.18871571
Mean2013.6949
Median Absolute Deviation (MAD)6
Skewness-0.71107885
Sum5326223
Variance52.564592
MonotonicityNot monotonic
2024-03-15T00:06:45.025451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2023 209
 
7.9%
2022 193
 
7.3%
2020 191
 
7.2%
2021 186
 
7.0%
2008 150
 
5.7%
2019 137
 
5.2%
2015 128
 
4.8%
2013 120
 
4.5%
2007 114
 
4.3%
2014 112
 
4.2%
Other values (23) 1105
41.8%
ValueCountFrequency (%)
1991 42
1.6%
1992 11
 
0.4%
1993 3
 
0.1%
1994 1
 
< 0.1%
1995 6
 
0.2%
1996 3
 
0.1%
1997 1
 
< 0.1%
1998 4
 
0.2%
1999 2
 
0.1%
2000 5
 
0.2%
ValueCountFrequency (%)
2023 209
7.9%
2022 193
7.3%
2021 186
7.0%
2020 191
7.2%
2019 137
5.2%
2018 109
4.1%
2017 92
3.5%
2016 89
3.4%
2015 128
4.8%
2014 112
4.2%

업체명
Text

Distinct579
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
2024-03-15T00:06:45.835643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length7.263138
Min length2

Characters and Unicode

Total characters19211
Distinct characters296
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

Unique238 ?
Unique (%)9.0%

Sample

1st row호리바에이티에스㈜
2nd row상신엔지니어링㈜
3rd row㈜다산알앤디
4th row유경통상
5th row한국호리바㈜
ValueCountFrequency (%)
호리바코리아㈜ 96
 
3.2%
주식회사 89
 
3.0%
한국에이브이엘㈜ 66
 
2.2%
㈜켄비텍 61
 
2.0%
㈜동일그린시스 59
 
2.0%
㈜자스텍 50
 
1.7%
하림엔지니어링㈜ 49
 
1.6%
켐익코퍼레이션 47
 
1.6%
㈜리트코 46
 
1.5%
선일계측시스템(주 42
 
1.4%
Other values (590) 2393
79.8%
2024-03-15T00:06:47.096985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 1442
 
7.5%
스 780
 
4.1%
이 771
 
4.0%
주 683
 
3.6%
) 577
 
3.0%
( 574
 
3.0%
리 569
 
3.0%
코 500
 
2.6%
지 498
 
2.6%
엔 455
 
2.4%
Other values (286) 12362
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15829
82.4%
Other Symbol 1442
 
7.5%
Close Punctuation 577
 
3.0%
Open Punctuation 574
 
3.0%
Space Separator 366
 
1.9%
Uppercase Letter 343
 
1.8%
Lowercase Letter 36
 
0.2%
Other Punctuation 26
 
0.1%
Decimal Number 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 780
 
4.9%
이 771
 
4.9%
주 683
 
4.3%
리 569
 
3.6%
코 500
 
3.2%
지 498
 
3.1%
엔 455
 
2.9%
에 454
 
2.9%
아 391
 
2.5%
텍 331
 
2.1%
Other values (243) 10397
65.7%
Uppercase Letter
ValueCountFrequency (%)
K 86
25.1%
N 70
20.4%
J 63
18.4%
B 23
 
6.7%
A 21
 
6.1%
L 15
 
4.4%
V 14
 
4.1%
S 11
 
3.2%
T 8
 
2.3%
E 6
 
1.7%
Other values (13) 26
 
7.6%
Lowercase Letter
ValueCountFrequency (%)
n 6
16.7%
r 4
11.1%
u 3
8.3%
a 3
8.3%
c 3
8.3%
o 3
8.3%
y 3
8.3%
t 3
8.3%
k 2
 
5.6%
e 2
 
5.6%
Other values (2) 4
11.1%
Other Punctuation
ValueCountFrequency (%)
& 23
88.5%
? 3
 
11.5%
Decimal Number
ValueCountFrequency (%)
2 9
50.0%
1 9
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1442
100.0%
Close Punctuation
ValueCountFrequency (%)
) 577
100.0%
Open Punctuation
ValueCountFrequency (%)
( 574
100.0%
Space Separator
ValueCountFrequency (%)
366
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17271
89.9%
Common 1561
 
8.1%
Latin 379
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 1442
 
8.3%
스 780
 
4.5%
이 771
 
4.5%
주 683
 
4.0%
리 569
 
3.3%
코 500
 
2.9%
지 498
 
2.9%
엔 455
 
2.6%
에 454
 
2.6%
아 391
 
2.3%
Other values (244) 10728
62.1%
Latin
ValueCountFrequency (%)
K 86
22.7%
N 70
18.5%
J 63
16.6%
B 23
 
6.1%
A 21
 
5.5%
L 15
 
4.0%
V 14
 
3.7%
S 11
 
2.9%
T 8
 
2.1%
n 6
 
1.6%
Other values (25) 62
16.4%
Common
ValueCountFrequency (%)
) 577
37.0%
( 574
36.8%
366
23.4%
& 23
 
1.5%
2 9
 
0.6%
1 9
 
0.6%
? 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15829
82.4%
ASCII 1940
 
10.1%
None 1442
 
7.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 1442
100.0%
Hangul
ValueCountFrequency (%)
스 780
 
4.9%
이 771
 
4.9%
주 683
 
4.3%
리 569
 
3.6%
코 500
 
3.2%
지 498
 
3.1%
엔 455
 
2.9%
에 454
 
2.9%
아 391
 
2.5%
텍 331
 
2.1%
Other values (243) 10397
65.7%
ASCII
ValueCountFrequency (%)
) 577
29.7%
( 574
29.6%
366
18.9%
K 86
 
4.4%
N 70
 
3.6%
J 63
 
3.2%
B 23
 
1.2%
& 23
 
1.2%
A 21
 
1.1%
L 15
 
0.8%
Other values (32) 122
 
6.3%

제품명
Text

Distinct358
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
2024-03-15T00:06:47.984837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length22.608696
Min length2

Characters and Unicode

Total characters59800
Distinct characters200
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)5.7%

Sample

1st row원동기동력계 및 그 부속기기
2nd row매연측정용 비디오 및 그 부속기기
3rd row차대동력계용 배출가스 측정장치 및 그 부속기기(4륜차용)
4th row자동차 배출가스(CO/HC) 분석기 및 공기과잉율 측정기 및 그 부속기기
5th row차대동력계용 배출가스 측정장치 및 그 부속기기(운행차용)
ValueCountFrequency (%)
그 2325
19.8%
및 2220
18.9%
부속기기 2046
17.4%
연속자동측정기 849
 
7.2%
소음계 278
 
2.4%
자동측정기 179
 
1.5%
차대동력계 162
 
1.4%
시료채취장치 121
 
1.0%
굴뚝배출가스(o2 115
 
1.0%
측정장치 101
 
0.9%
Other values (298) 3334
28.4%
2024-03-15T00:06:49.359124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9148
 
15.3%
기 6735
 
11.3%
속 3564
 
6.0%
부 2467
 
4.1%
그 2325
 
3.9%
및 2226
 
3.7%
동 1806
 
3.0%
정 1791
 
3.0%
측 1791
 
3.0%
( 1568
 
2.6%
Other values (190) 26379
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43647
73.0%
Space Separator 9148
 
15.3%
Uppercase Letter 2307
 
3.9%
Open Punctuation 1568
 
2.6%
Close Punctuation 1568
 
2.6%
Decimal Number 820
 
1.4%
Lowercase Letter 380
 
0.6%
Other Punctuation 335
 
0.6%
Dash Punctuation 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 6735
 
15.4%
속 3564
 
8.2%
부 2467
 
5.7%
그 2325
 
5.3%
및 2226
 
5.1%
동 1806
 
4.1%
정 1791
 
4.1%
측 1791
 
4.1%
자 1505
 
3.4%
연 1272
 
2.9%
Other values (138) 18165
41.6%
Uppercase Letter
ValueCountFrequency (%)
O 874
37.9%
C 345
 
15.0%
N 254
 
11.0%
S 213
 
9.2%
H 148
 
6.4%
P 138
 
6.0%
M 136
 
5.9%
T 56
 
2.4%
D 52
 
2.3%
X 27
 
1.2%
Other values (11) 64
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
x 182
47.9%
l 71
 
18.7%
t 26
 
6.8%
u 26
 
6.8%
i 26
 
6.8%
m 24
 
6.3%
p 14
 
3.7%
o 3
 
0.8%
c 1
 
0.3%
e 1
 
0.3%
Other values (6) 6
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 460
56.1%
4 113
 
13.8%
0 66
 
8.0%
1 62
 
7.6%
3 60
 
7.3%
5 59
 
7.2%
Other Punctuation
ValueCountFrequency (%)
/ 232
69.3%
. 55
 
16.4%
, 40
 
11.9%
? 6
 
1.8%
; 2
 
0.6%
Space Separator
ValueCountFrequency (%)
9148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1568
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43647
73.0%
Common 13466
 
22.5%
Latin 2686
 
4.5%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 6735
 
15.4%
속 3564
 
8.2%
부 2467
 
5.7%
그 2325
 
5.3%
및 2226
 
5.1%
동 1806
 
4.1%
정 1791
 
4.1%
측 1791
 
4.1%
자 1505
 
3.4%
연 1272
 
2.9%
Other values (138) 18165
41.6%
Latin
ValueCountFrequency (%)
O 874
32.5%
C 345
 
12.8%
N 254
 
9.5%
S 213
 
7.9%
x 182
 
6.8%
H 148
 
5.5%
P 138
 
5.1%
M 136
 
5.1%
l 71
 
2.6%
T 56
 
2.1%
Other values (26) 269
 
10.0%
Common
ValueCountFrequency (%)
9148
67.9%
( 1568
 
11.6%
) 1568
 
11.6%
2 460
 
3.4%
/ 232
 
1.7%
4 113
 
0.8%
0 66
 
0.5%
1 62
 
0.5%
3 60
 
0.4%
5 59
 
0.4%
Other values (5) 130
 
1.0%
Greek
ValueCountFrequency (%)
λ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43646
73.0%
ASCII 16152
 
27.0%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9148
56.6%
( 1568
 
9.7%
) 1568
 
9.7%
O 874
 
5.4%
2 460
 
2.8%
C 345
 
2.1%
N 254
 
1.6%
/ 232
 
1.4%
S 213
 
1.3%
x 182
 
1.1%
Other values (41) 1308
 
8.1%
Hangul
ValueCountFrequency (%)
기 6735
 
15.4%
속 3564
 
8.2%
부 2467
 
5.7%
그 2325
 
5.3%
및 2226
 
5.1%
동 1806
 
4.1%
정 1791
 
4.1%
측 1791
 
4.1%
자 1505
 
3.4%
연 1272
 
2.9%
Other values (137) 18164
41.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
λ 1
100.0%

인증(변경)일자
Text

Distinct1394
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
2024-03-15T00:06:50.302185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.001134
Min length10

Characters and Unicode

Total characters26453
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique791 ?
Unique (%)29.9%

Sample

1st row2007-07-02
2nd row2008-01-03
3rd row2008-01-08
4th row2008-01-30
5th row2008-03-14
ValueCountFrequency (%)
1991-06-12 32
 
1.2%
2023-01-18 14
 
0.5%
2023-08-30 12
 
0.5%
2016-01-21 11
 
0.4%
2020-06-30 10
 
0.4%
2023-03-24 10
 
0.4%
2008-05-27 10
 
0.4%
2015-01-20 10
 
0.4%
2023-07-20 9
 
0.3%
2022-09-14 9
 
0.3%
Other values (1385) 2519
95.2%
2024-03-15T00:06:51.661674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6742
25.5%
2 5291
20.0%
- 5288
20.0%
1 3795
14.3%
3 1030
 
3.9%
9 858
 
3.2%
8 758
 
2.9%
7 712
 
2.7%
6 676
 
2.6%
4 651
 
2.5%
Other values (9) 652
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21152
80.0%
Dash Punctuation 5288
 
20.0%
Other Letter 12
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6742
31.9%
2 5291
25.0%
1 3795
17.9%
3 1030
 
4.9%
9 858
 
4.1%
8 758
 
3.6%
7 712
 
3.4%
6 676
 
3.2%
4 651
 
3.1%
5 639
 
3.0%
Other Letter
ValueCountFrequency (%)
ㅓ 5
41.7%
야 2
 
16.7%
어 1
 
8.3%
랴 1
 
8.3%
바 1
 
8.3%
리 1
 
8.3%
미 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 5288
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26441
> 99.9%
Hangul 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6742
25.5%
2 5291
20.0%
- 5288
20.0%
1 3795
14.4%
3 1030
 
3.9%
9 858
 
3.2%
8 758
 
2.9%
7 712
 
2.7%
6 676
 
2.6%
4 651
 
2.5%
Other values (2) 640
 
2.4%
Hangul
ValueCountFrequency (%)
ㅓ 5
41.7%
야 2
 
16.7%
어 1
 
8.3%
랴 1
 
8.3%
바 1
 
8.3%
리 1
 
8.3%
미 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26441
> 99.9%
Hangul 7
 
< 0.1%
Compat Jamo 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6742
25.5%
2 5291
20.0%
- 5288
20.0%
1 3795
14.4%
3 1030
 
3.9%
9 858
 
3.2%
8 758
 
2.9%
7 712
 
2.7%
6 676
 
2.6%
4 651
 
2.5%
Other values (2) 640
 
2.4%
Compat Jamo
ValueCountFrequency (%)
ㅓ 5
100.0%
Hangul
ValueCountFrequency (%)
야 2
28.6%
어 1
14.3%
랴 1
14.3%
바 1
14.3%
리 1
14.3%
미 1
14.3%

인증서번호
Text

Distinct2623
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
2024-03-15T00:06:52.434399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length14.078261
Min length8

Characters and Unicode

Total characters37237
Distinct characters35
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2602 ?
Unique (%)98.4%

Sample

1st row제EAE-2007-2호
2nd row제EAO-2008-1호
3rd row제EAA-2008-G1호
4th row제OECλ-2008-1호
5th row제OEA-2005-2호
ValueCountFrequency (%)
호 13
 
0.5%
제 3
 
0.1%
제ope-2017-1호 3
 
0.1%
제wtms-toc-2020-1호 2
 
0.1%
제oed-2021-4호 2
 
0.1%
제wtms-ph-2021-1호 2
 
0.1%
제oac-2002-1호 2
 
0.1%
제eaa-2019-g1호 2
 
0.1%
제oac-2006-2호 2
 
0.1%
제wtms-toc-2021-10호 2
 
0.1%
Other values (2618) 2632
98.8%
2024-03-15T00:06:53.657086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5558
14.9%
2 3931
10.6%
0 3466
9.3%
S 2825
 
7.6%
제 2642
 
7.1%
호 2641
 
7.1%
1 2407
 
6.5%
M 2318
 
6.2%
A 1888
 
5.1%
T 1401
 
3.8%
Other values (25) 8160
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13154
35.3%
Uppercase Letter 13112
35.2%
Dash Punctuation 5558
14.9%
Other Letter 5283
14.2%
Lowercase Letter 103
 
0.3%
Space Separator 27
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 2825
21.5%
M 2318
17.7%
A 1888
14.4%
T 1401
10.7%
E 819
 
6.2%
G 645
 
4.9%
C 620
 
4.7%
W 604
 
4.6%
N 421
 
3.2%
D 402
 
3.1%
Other values (9) 1169
8.9%
Decimal Number
ValueCountFrequency (%)
2 3931
29.9%
0 3466
26.3%
1 2407
18.3%
3 777
 
5.9%
4 501
 
3.8%
5 494
 
3.8%
8 417
 
3.2%
7 407
 
3.1%
9 385
 
2.9%
6 369
 
2.8%
Other Letter
ValueCountFrequency (%)
제 2642
50.0%
호 2641
50.0%
Lowercase Letter
ValueCountFrequency (%)
p 73
70.9%
λ 30
29.1%
Dash Punctuation
ValueCountFrequency (%)
- 5558
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18739
50.3%
Latin 13185
35.4%
Hangul 5283
 
14.2%
Greek 30
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 2825
21.4%
M 2318
17.6%
A 1888
14.3%
T 1401
10.6%
E 819
 
6.2%
G 645
 
4.9%
C 620
 
4.7%
W 604
 
4.6%
N 421
 
3.2%
D 402
 
3.0%
Other values (10) 1242
9.4%
Common
ValueCountFrequency (%)
- 5558
29.7%
2 3931
21.0%
0 3466
18.5%
1 2407
12.8%
3 777
 
4.1%
4 501
 
2.7%
5 494
 
2.6%
8 417
 
2.2%
7 407
 
2.2%
9 385
 
2.1%
Other values (2) 396
 
2.1%
Hangul
ValueCountFrequency (%)
제 2642
50.0%
호 2641
50.0%
Greek
ValueCountFrequency (%)
λ 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31924
85.7%
Hangul 5283
 
14.2%
None 30
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5558
17.4%
2 3931
12.3%
0 3466
10.9%
S 2825
8.8%
1 2407
 
7.5%
M 2318
 
7.3%
A 1888
 
5.9%
T 1401
 
4.4%
E 819
 
2.6%
3 777
 
2.4%
Other values (22) 6534
20.5%
Hangul
ValueCountFrequency (%)
제 2642
50.0%
호 2641
50.0%
None
ValueCountFrequency (%)
λ 30
100.0%

모델명
Text

Distinct2165
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
2024-03-15T00:06:55.161648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length11.075992
Min length3

Characters and Unicode

Total characters29296
Distinct characters159
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1902 ?
Unique (%)71.9%

Sample

1st rowHD 460
2nd rowXL H1
3rd rowMAYSYS970(CVS-MaxSYS970)
4th rowGas_Master
5th rowMEXA-554JKNR
ValueCountFrequency (%)
54
 
1.4%
type 27
 
0.7%
ultramat 26
 
0.7%
robochem 22
 
0.6%
mezus 19
 
0.5%
ao2020 19
 
0.5%
x-stream 18
 
0.5%
atmosfir 17
 
0.4%
ccd-hd 16
 
0.4%
tp 16
 
0.4%
Other values (2454) 3762
94.1%
2024-03-15T00:06:57.129883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3320
 
11.3%
- 2013
 
6.9%
1424
 
4.9%
S 1317
 
4.5%
A 1194
 
4.1%
2 1097
 
3.7%
1 1059
 
3.6%
M 988
 
3.4%
C 864
 
2.9%
T 783
 
2.7%
Other values (149) 15237
52.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 12266
41.9%
Decimal Number 8298
28.3%
Lowercase Letter 2847
 
9.7%
Dash Punctuation 2013
 
6.9%
Space Separator 1424
 
4.9%
Other Letter 1130
 
3.9%
Other Punctuation 476
 
1.6%
Open Punctuation 382
 
1.3%
Close Punctuation 381
 
1.3%
Math Symbol 33
 
0.1%
Other values (5) 46
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 251
22.2%
검 129
11.4%
출 129
11.4%
시 126
11.2%
변 123
10.9%
환 123
10.9%
지 121
10.7%
기 13
 
1.2%
용 9
 
0.8%
디 6
 
0.5%
Other values (58) 100
 
8.8%
Lowercase Letter
ValueCountFrequency (%)
o 321
11.3%
e 315
11.1%
i 276
9.7%
r 210
 
7.4%
t 207
 
7.3%
s 205
 
7.2%
a 188
 
6.6%
n 182
 
6.4%
m 135
 
4.7%
l 129
 
4.5%
Other values (17) 679
23.8%
Uppercase Letter
ValueCountFrequency (%)
S 1317
 
10.7%
A 1194
 
9.7%
M 988
 
8.1%
C 864
 
7.0%
T 783
 
6.4%
E 714
 
5.8%
D 691
 
5.6%
P 571
 
4.7%
N 545
 
4.4%
O 500
 
4.1%
Other values (16) 4099
33.4%
Other Punctuation
ValueCountFrequency (%)
/ 236
49.6%
, 114
23.9%
& 33
 
6.9%
: 30
 
6.3%
" 15
 
3.2%
. 15
 
3.2%
? 7
 
1.5%
' 7
 
1.5%
· 6
 
1.3%
# 4
 
0.8%
Other values (4) 9
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 3320
40.0%
2 1097
 
13.2%
1 1059
 
12.8%
4 560
 
6.7%
5 546
 
6.6%
3 540
 
6.5%
6 364
 
4.4%
7 342
 
4.1%
8 251
 
3.0%
9 219
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 19
57.6%
∑ 11
33.3%
= 2
 
6.1%
~ 1
 
3.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 20
90.9%
Ⅲ 2
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 2013
100.0%
Space Separator
ValueCountFrequency (%)
1424
100.0%
Open Punctuation
ValueCountFrequency (%)
( 382
100.0%
Close Punctuation
ValueCountFrequency (%)
) 381
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 6
100.0%
Other Symbol
ValueCountFrequency (%)
® 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15133
51.7%
Common 13031
44.5%
Hangul 1130
 
3.9%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 251
22.2%
검 129
11.4%
출 129
11.4%
시 126
11.2%
변 123
10.9%
환 123
10.9%
지 121
10.7%
기 13
 
1.2%
용 9
 
0.8%
디 6
 
0.5%
Other values (58) 100
 
8.8%
Latin
ValueCountFrequency (%)
S 1317
 
8.7%
A 1194
 
7.9%
M 988
 
6.5%
C 864
 
5.7%
T 783
 
5.2%
E 714
 
4.7%
D 691
 
4.6%
P 571
 
3.8%
N 545
 
3.6%
O 500
 
3.3%
Other values (44) 6966
46.0%
Common
ValueCountFrequency (%)
0 3320
25.5%
- 2013
15.4%
1424
10.9%
2 1097
 
8.4%
1 1059
 
8.1%
4 560
 
4.3%
5 546
 
4.2%
3 540
 
4.1%
( 382
 
2.9%
) 381
 
2.9%
Other values (26) 1709
13.1%
Greek
ValueCountFrequency (%)
μ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28110
96.0%
Hangul 1127
 
3.8%
Number Forms 22
 
0.1%
None 13
 
< 0.1%
Math Operators 11
 
< 0.1%
Punctuation 10
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3320
 
11.8%
- 2013
 
7.2%
1424
 
5.1%
S 1317
 
4.7%
A 1194
 
4.2%
2 1097
 
3.9%
1 1059
 
3.8%
M 988
 
3.5%
C 864
 
3.1%
T 783
 
2.8%
Other values (71) 14051
50.0%
Hangul
ValueCountFrequency (%)
부 251
22.3%
검 129
11.4%
출 129
11.4%
시 126
11.2%
변 123
10.9%
환 123
10.9%
지 121
10.7%
기 13
 
1.2%
용 9
 
0.8%
디 6
 
0.5%
Other values (57) 97
 
8.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 20
90.9%
Ⅲ 2
 
9.1%
Math Operators
ValueCountFrequency (%)
∑ 11
100.0%
Punctuation
ValueCountFrequency (%)
“ 6
60.0%
’ 2
 
20.0%
… 2
 
20.0%
None
ValueCountFrequency (%)
· 6
46.2%
＂ 3
23.1%
® 2
 
15.4%
μ 2
 
15.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

제작사
Text

MISSING 

Distinct521
Distinct (%)27.4%
Missing743
Missing (%)28.1%
Memory size20.8 KiB
2024-03-15T00:06:58.273098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length9.8175605
Min length2

Characters and Unicode

Total characters18673
Distinct characters246
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique238 ?
Unique (%)12.5%

Sample

1st rowHORIBA Automotive Test Systems GmbH
2nd rowCANON
3rd rowSIGNAL INSTRUMENT
4th row유경통상
5th row호리바
ValueCountFrequency (%)
ltd 175
 
5.7%
gmbh 122
 
4.0%
horiba 111
 
3.6%
avl 79
 
2.6%
electric 67
 
2.2%
rion 56
 
1.8%
co 51
 
1.7%
instruments 49
 
1.6%
fuji 46
 
1.5%
siemens 43
 
1.4%
Other values (514) 2258
73.9%
2024-03-15T00:07:00.063887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1181
 
6.3%
e 709
 
3.8%
E 632
 
3.4%
I 565
 
3.0%
t 565
 
3.0%
㈜ 553
 
3.0%
A 543
 
2.9%
n 522
 
2.8%
O 515
 
2.8%
S 487
 
2.6%
Other values (236) 12401
66.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 6480
34.7%
Lowercase Letter 5447
29.2%
Other Letter 4260
22.8%
Space Separator 1181
 
6.3%
Other Symbol 553
 
3.0%
Other Punctuation 427
 
2.3%
Dash Punctuation 114
 
0.6%
Open Punctuation 81
 
0.4%
Close Punctuation 81
 
0.4%
Decimal Number 41
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 222
 
5.2%
이 214
 
5.0%
텍 151
 
3.5%
기 132
 
3.1%
주 129
 
3.0%
엔 118
 
2.8%
에 109
 
2.6%
지 92
 
2.2%
테 84
 
2.0%
티 83
 
1.9%
Other values (168) 2926
68.7%
Lowercase Letter
ValueCountFrequency (%)
e 709
13.0%
t 565
10.4%
n 522
9.6%
r 437
 
8.0%
o 436
 
8.0%
i 392
 
7.2%
c 362
 
6.6%
s 343
 
6.3%
m 305
 
5.6%
l 215
 
3.9%
Other values (17) 1161
21.3%
Uppercase Letter
ValueCountFrequency (%)
E 632
 
9.8%
I 565
 
8.7%
A 543
 
8.4%
O 515
 
7.9%
S 487
 
7.5%
L 381
 
5.9%
T 381
 
5.9%
R 337
 
5.2%
C 331
 
5.1%
H 299
 
4.6%
Other values (16) 2009
31.0%
Other Punctuation
ValueCountFrequency (%)
. 242
56.7%
, 111
26.0%
/ 41
 
9.6%
& 32
 
7.5%
? 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 14
34.1%
0 14
34.1%
2 9
22.0%
3 4
 
9.8%
Space Separator
ValueCountFrequency (%)
1181
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 553
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Math Symbol
ValueCountFrequency (%)
+ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11926
63.9%
Hangul 4813
25.8%
Common 1933
 
10.4%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 553
 
11.5%
스 222
 
4.6%
이 214
 
4.4%
텍 151
 
3.1%
기 132
 
2.7%
주 129
 
2.7%
엔 118
 
2.5%
에 109
 
2.3%
지 92
 
1.9%
테 84
 
1.7%
Other values (169) 3009
62.5%
Latin
ValueCountFrequency (%)
e 709
 
5.9%
E 632
 
5.3%
I 565
 
4.7%
t 565
 
4.7%
A 543
 
4.6%
n 522
 
4.4%
O 515
 
4.3%
S 487
 
4.1%
r 437
 
3.7%
o 436
 
3.7%
Other values (42) 6515
54.6%
Common
ValueCountFrequency (%)
1181
61.1%
. 242
 
12.5%
- 114
 
5.9%
, 111
 
5.7%
( 81
 
4.2%
) 81
 
4.2%
/ 41
 
2.1%
& 32
 
1.7%
1 14
 
0.7%
0 14
 
0.7%
Other values (4) 22
 
1.1%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13859
74.2%
Hangul 4260
 
22.8%
None 554
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1181
 
8.5%
e 709
 
5.1%
E 632
 
4.6%
I 565
 
4.1%
t 565
 
4.1%
A 543
 
3.9%
n 522
 
3.8%
O 515
 
3.7%
S 487
 
3.5%
r 437
 
3.2%
Other values (56) 7703
55.6%
None
ValueCountFrequency (%)
㈜ 553
99.8%
β 1
 
0.2%
Hangul
ValueCountFrequency (%)
스 222
 
5.2%
이 214
 
5.0%
텍 151
 
3.5%
기 132
 
3.1%
주 129
 
3.0%
엔 118
 
2.8%
에 109
 
2.6%
지 92
 
2.2%
테 84
 
2.0%
티 83
 
1.9%
Other values (168) 2926
68.7%

제작국
Text

MISSING 

Distinct65
Distinct (%)3.4%
Missing747
Missing (%)28.2%
Memory size20.8 KiB
2024-03-15T00:07:00.779026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length3.130137
Min length2

Characters and Unicode

Total characters5941
Distinct characters66
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.0%

Sample

1st row독일
2nd row일본
3rd row영국
4th row한국
5th row일본
ValueCountFrequency (%)
대한민국 617
29.7%
독일 243
 
11.7%
일본 241
 
11.6%
미국 173
 
8.3%
프랑스 111
 
5.3%
국 82
 
3.9%
일 72
 
3.5%
본 69
 
3.3%
한국 55
 
2.6%
덴마크 41
 
2.0%
Other values (49) 372
17.9%
2024-03-15T00:07:01.903967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 1048
17.6%
한 749
12.6%
대 652
11.0%
민 642
10.8%
일 584
9.8%
본 324
 
5.5%
독 258
 
4.3%
226
 
3.8%
미 200
 
3.4%
스 189
 
3.2%
Other values (56) 1069
18.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5627
94.7%
Space Separator 226
 
3.8%
Other Punctuation 53
 
0.9%
Close Punctuation 17
 
0.3%
Open Punctuation 16
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1048
18.6%
한 749
13.3%
대 652
11.6%
민 642
11.4%
일 584
10.4%
본 324
 
5.8%
독 258
 
4.6%
미 200
 
3.6%
스 189
 
3.4%
프 113
 
2.0%
Other values (49) 868
15.4%
Other Punctuation
ValueCountFrequency (%)
/ 39
73.6%
, 14
 
26.4%
Uppercase Letter
ValueCountFrequency (%)
U 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5627
94.7%
Common 312
 
5.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1048
18.6%
한 749
13.3%
대 652
11.6%
민 642
11.4%
일 584
10.4%
본 324
 
5.8%
독 258
 
4.6%
미 200
 
3.6%
스 189
 
3.4%
프 113
 
2.0%
Other values (49) 868
15.4%
Common
ValueCountFrequency (%)
226
72.4%
/ 39
 
12.5%
) 17
 
5.4%
( 16
 
5.1%
, 14
 
4.5%
Latin
ValueCountFrequency (%)
U 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5627
94.7%
ASCII 314
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 1048
18.6%
한 749
13.3%
대 652
11.6%
민 642
11.4%
일 584
10.4%
본 324
 
5.8%
독 258
 
4.6%
미 200
 
3.6%
스 189
 
3.4%
프 113
 
2.0%
Other values (49) 868
15.4%
ASCII
ValueCountFrequency (%)
226
72.0%
/ 39
 
12.4%
) 17
 
5.4%
( 16
 
5.1%
, 14
 
4.5%
U 1
 
0.3%
K 1
 
0.3%

비고(최초인증일자)
Text

MISSING 

Distinct184
Distinct (%)13.8%
Missing1307
Missing (%)49.4%
Memory size20.8 KiB
2024-03-15T00:07:02.785848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length7
Mean length8.2197309
Min length2

Characters and Unicode

Total characters10998
Distinct characters56
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

Unique147 ?
Unique (%)11.0%

Sample

1st row유효기간 만료
2nd row유효기간 만료
3rd row유효기간 만료
4th row유효기간 만료
5th row유효기간 만료
ValueCountFrequency (%)
유효기간 1086
44.4%
만료 1086
44.4%
변경 21
 
0.9%
형식승인 9
 
0.4%
삭제 7
 
0.3%
변경(2019-02-13 4
 
0.2%
상호변경(2014-09-04 4
 
0.2%
변경(2018-03-29 4
 
0.2%
변경(2016-11-29 3
 
0.1%
변경(2002-04-19 3
 
0.1%
Other values (179) 221
 
9.0%
2024-03-15T00:07:04.065398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1112
10.1%
유 1089
9.9%
간 1089
9.9%
효 1089
9.9%
기 1089
9.9%
만 1088
9.9%
료 1088
9.9%
0 569
 
5.2%
- 458
 
4.2%
2 418
 
3.8%
Other values (46) 1909
17.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7134
64.9%
Decimal Number 1820
 
16.5%
Space Separator 1112
 
10.1%
Dash Punctuation 458
 
4.2%
Close Punctuation 227
 
2.1%
Open Punctuation 227
 
2.1%
Uppercase Letter 13
 
0.1%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1089
15.3%
간 1089
15.3%
효 1089
15.3%
기 1089
15.3%
만 1088
15.3%
료 1088
15.3%
경 245
 
3.4%
변 245
 
3.4%
호 16
 
0.2%
상 12
 
0.2%
Other values (22) 84
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 569
31.3%
2 418
23.0%
1 379
20.8%
7 86
 
4.7%
9 85
 
4.7%
3 70
 
3.8%
8 64
 
3.5%
4 59
 
3.2%
6 45
 
2.5%
5 45
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
T 3
23.1%
W 2
15.4%
S 2
15.4%
M 2
15.4%
N 1
 
7.7%
C 1
 
7.7%
O 1
 
7.7%
D 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
1112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7134
64.9%
Common 3851
35.0%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1089
15.3%
간 1089
15.3%
효 1089
15.3%
기 1089
15.3%
만 1088
15.3%
료 1088
15.3%
경 245
 
3.4%
변 245
 
3.4%
호 16
 
0.2%
상 12
 
0.2%
Other values (22) 84
 
1.2%
Common
ValueCountFrequency (%)
1112
28.9%
0 569
14.8%
- 458
11.9%
2 418
 
10.9%
1 379
 
9.8%
) 227
 
5.9%
( 227
 
5.9%
7 86
 
2.2%
9 85
 
2.2%
3 70
 
1.8%
Other values (6) 220
 
5.7%
Latin
ValueCountFrequency (%)
T 3
23.1%
W 2
15.4%
S 2
15.4%
M 2
15.4%
N 1
 
7.7%
C 1
 
7.7%
O 1
 
7.7%
D 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7134
64.9%
ASCII 3864
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1112
28.8%
0 569
14.7%
- 458
11.9%
2 418
 
10.8%
1 379
 
9.8%
) 227
 
5.9%
( 227
 
5.9%
7 86
 
2.2%
9 85
 
2.2%
3 70
 
1.8%
Other values (14) 233
 
6.0%
Hangul
ValueCountFrequency (%)
유 1089
15.3%
간 1089
15.3%
효 1089
15.3%
기 1089
15.3%
만 1088
15.3%
료 1088
15.3%
경 245
 
3.4%
변 245
 
3.4%
호 16
 
0.2%
상 12
 
0.2%
Other values (22) 84
 
1.2%

Interactions

2024-03-15T00:06:42.158197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:06:41.621709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:06:42.425756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:06:41.887771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:07:04.325780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야일련 번호연도제작국
분야1.0000.5870.4130.813
일련 번호0.5871.0000.7920.666
연도0.4130.7921.0000.726
제작국0.8130.6660.7261.000
2024-03-15T00:07:04.582454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련 번호연도분야
일련 번호1.0000.7100.282
연도0.7101.0000.209
분야0.2820.2091.000

Missing values

2024-03-15T00:06:42.767152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:06:43.043685image/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.
2024-03-15T00:06:43.251022image/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

분야일련 번호연도업체명제품명인증(변경)일자인증서번호모델명제작사제작국비고(최초인증일자)
0자동차12007호리바에이티에스㈜원동기동력계 및 그 부속기기2007-07-02제EAE-2007-2호HD 460HORIBA Automotive Test Systems GmbH독일유효기간 만료
1자동차22008상신엔지니어링㈜매연측정용 비디오 및 그 부속기기2008-01-03제EAO-2008-1호XL H1CANON일본유효기간 만료
2자동차32008㈜다산알앤디차대동력계용 배출가스 측정장치 및 그 부속기기(4륜차용)2008-01-08제EAA-2008-G1호MAYSYS970(CVS-MaxSYS970)SIGNAL INSTRUMENT영국유효기간 만료
3자동차42008유경통상자동차 배출가스(CO/HC) 분석기 및 공기과잉율 측정기 및 그 부속기기2008-01-30제OECλ-2008-1호Gas_Master유경통상한국유효기간 만료
4자동차52008한국호리바㈜차대동력계용 배출가스 측정장치 및 그 부속기기(운행차용)2008-03-14제OEA-2005-2호MEXA-554JKNR호리바일본유효기간 만료
5자동차62008한국에이브이엘㈜원동기동력계 및 그 부속기기2008-04-04제EAE-2008-1호APA 048/20-4/9AVL ELIN GMBH오스트리아유효기간 만료
6자동차82008㈜자스텍차대동력계용 배출가스 측정장치 및 그 부속기기(IM240-배기유량직접방법용)2008-04-04제EAA-2008-I1호JVMAS-1000(주)자스텍/SENSORS, INC한국/미국유효기간 만료
7자동차92008㈜자스텍차대동력계 및 그 부속기기(IM240-배기유량직접방법용)2008-04-04제EAC-2008-I1호CCD-HD, ASM-P(IM240)(주)자스텍/MAHA한국/독일유효기간 만료
8자동차102008㈜오토기기부분유량 채취방식 광투과식 매연측정기2008-05-19제OED-2006-3호AUTOSMOKE4000(주)오토기기/SPTC한국/한국유효기간 만료
9자동차112008㈜다산알앤디원동기 동력계용 배출가스 측정장치 및 그 부속기기2008-06-24제EAA-2008-D1호MAYSYS900SIGNAL INSTRUMENT영국유효기간 만료
분야일련 번호연도업체명제품명인증(변경)일자인증서번호모델명제작사제작국비고(최초인증일자)
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2644소음연속자동측정기232023주식회사 싸이언소음연속자동측정기와 그 부속기기2023-08-17제NESMC-23호NM73-04㈜두일테크대한민국<NA>