Overview

Dataset statistics

Number of variables50
Number of observations1947
Missing cells25310
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory762.6 KiB
Average record size in memory401.1 B

Variable types

Numeric1
Text38
Categorical9
DateTime2

Dataset

Description본 데이터는 환경성적표 LCI DB 홈페이지(http://epd.or.kr)에서 제공하는 환경성적표지, 저탄소 인증제품에 대한 파일 데이터로 현재 기준("23.7.14.) 최신 데이터입니다. 업데이트는 해당 홈페이지 및 본 데이터목록에 실시 예정입니다.
URLhttps://www.data.go.kr/data/15089157/fileData.do

Alerts

제품군 is highly imbalanced (62.2%)Imbalance
자원발자국-총량 has 40 (2.1%) missing valuesMissing
자원발자국-제조전 has 40 (2.1%) missing valuesMissing
자원발자국-제조 has 40 (2.1%) missing valuesMissing
자원발자국-사용 has 1868 (95.9%) missing valuesMissing
자원발자국-폐기 has 1658 (85.2%) missing valuesMissing
탄소발자국-사용 has 1831 (94.0%) missing valuesMissing
탄소발자국-폐기 has 1621 (83.3%) missing valuesMissing
오존층영향-총량 has 40 (2.1%) missing valuesMissing
오존층영향-제조전 has 40 (2.1%) missing valuesMissing
오존층영향-제조 has 40 (2.1%) missing valuesMissing
오존층영향-사용 has 1868 (95.9%) missing valuesMissing
오존층영향-폐기 has 1658 (85.2%) missing valuesMissing
산성비-총량 has 38 (2.0%) missing valuesMissing
산성비-제조전 has 38 (2.0%) missing valuesMissing
산성비-제조 has 38 (2.0%) missing valuesMissing
산성비-사용 has 1868 (95.9%) missing valuesMissing
산성비-폐기 has 1658 (85.2%) missing valuesMissing
부영양화-총량 has 38 (2.0%) missing valuesMissing
부영양화-제조전 has 38 (2.0%) missing valuesMissing
부영양화-제조 has 38 (2.0%) missing valuesMissing
부영양화-사용 has 1868 (95.9%) missing valuesMissing
부영양화-폐기 has 1658 (85.2%) missing valuesMissing
광화학 스모그-총량 has 40 (2.1%) missing valuesMissing
광화학 스모그-제조전 has 40 (2.1%) missing valuesMissing
광화학 스모그-제조 has 40 (2.1%) missing valuesMissing
광화학 스모그-사용 has 1868 (95.9%) missing valuesMissing
광화학 스모그-폐기 has 1658 (85.2%) missing valuesMissing
물발자국-총량 has 38 (2.0%) missing valuesMissing
물발자국-제조전 has 38 (2.0%) missing valuesMissing
물발자국-제조 has 38 (2.0%) missing valuesMissing
물발자국-사용 has 1868 (95.9%) missing valuesMissing
물발자국-폐기 has 1658 (85.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:47:42.820217
Analysis finished2023-12-12 22:47:44.604285
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1947
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean974
Minimum1
Maximum1947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-12-13T07:47:44.691786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile98.3
Q1487.5
median974
Q31460.5
95-th percentile1849.7
Maximum1947
Range1946
Interquartile range (IQR)973

Descriptive statistics

Standard deviation562.19481
Coefficient of variation (CV)0.57720206
Kurtosis-1.2
Mean974
Median Absolute Deviation (MAD)487
Skewness0
Sum1896378
Variance316063
MonotonicityStrictly increasing
2023-12-13T07:47:44.859601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1280 1
 
0.1%
1308 1
 
0.1%
1307 1
 
0.1%
1306 1
 
0.1%
1305 1
 
0.1%
1304 1
 
0.1%
1303 1
 
0.1%
1302 1
 
0.1%
1301 1
 
0.1%
Other values (1937) 1937
99.5%
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 (%)
1947 1
0.1%
1946 1
0.1%
1945 1
0.1%
1944 1
0.1%
1943 1
0.1%
1942 1
0.1%
1941 1
0.1%
1940 1
0.1%
1939 1
0.1%
1938 1
0.1%

기업명
Text

Distinct411
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-12-13T07:47:45.123772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length18
Mean length8.624037
Min length2

Characters and Unicode

Total characters16791
Distinct characters303
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)3.6%

Sample

1st row울산레미콘 주식회사
2nd row선일콘크리트(주)
3rd row선일콘크리트(주)
4th row선일콘크리트(주)
5th row선일콘크리트(주)
ValueCountFrequency (%)
주식회사 443
 
17.6%
엘엑스하우시스 46
 
1.8%
주)귀뚜라미 39
 
1.5%
한화솔루션(주 39
 
1.5%
주 38
 
1.5%
한일시멘트 36
 
1.4%
유진기업(주 35
 
1.4%
한라엔컴(encom)(주 28
 
1.1%
아세아시멘트(주 28
 
1.1%
린나이코리아(주 23
 
0.9%
Other values (414) 1765
70.0%
2023-12-13T07:47:45.489394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1922
 
11.4%
( 1456
 
8.7%
) 1456
 
8.7%
579
 
3.4%
사 514
 
3.1%
식 485
 
2.9%
회 479
 
2.9%
콘 468
 
2.8%
미 441
 
2.6%
레 386
 
2.3%
Other values (293) 8605
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13049
77.7%
Open Punctuation 1456
 
8.7%
Close Punctuation 1456
 
8.7%
Space Separator 579
 
3.4%
Uppercase Letter 216
 
1.3%
Other Punctuation 32
 
0.2%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1922
 
14.7%
사 514
 
3.9%
식 485
 
3.7%
회 479
 
3.7%
콘 468
 
3.6%
미 441
 
3.4%
레 386
 
3.0%
업 364
 
2.8%
이 307
 
2.4%
산 288
 
2.2%
Other values (268) 7395
56.7%
Uppercase Letter
ValueCountFrequency (%)
O 38
17.6%
C 37
17.1%
N 31
14.4%
M 30
13.9%
E 29
13.4%
T 8
 
3.7%
Y 6
 
2.8%
R 6
 
2.8%
D 6
 
2.8%
S 5
 
2.3%
Other values (7) 20
9.3%
Other Punctuation
ValueCountFrequency (%)
/ 21
65.6%
. 7
 
21.9%
, 3
 
9.4%
& 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 1456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1456
100.0%
Space Separator
ValueCountFrequency (%)
579
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13052
77.7%
Common 3523
 
21.0%
Latin 216
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1922
 
14.7%
사 514
 
3.9%
식 485
 
3.7%
회 479
 
3.7%
콘 468
 
3.6%
미 441
 
3.4%
레 386
 
3.0%
업 364
 
2.8%
이 307
 
2.4%
산 288
 
2.2%
Other values (269) 7398
56.7%
Latin
ValueCountFrequency (%)
O 38
17.6%
C 37
17.1%
N 31
14.4%
M 30
13.9%
E 29
13.4%
T 8
 
3.7%
Y 6
 
2.8%
R 6
 
2.8%
D 6
 
2.8%
S 5
 
2.3%
Other values (7) 20
9.3%
Common
ValueCountFrequency (%)
( 1456
41.3%
) 1456
41.3%
579
 
16.4%
/ 21
 
0.6%
. 7
 
0.2%
, 3
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13049
77.7%
ASCII 3739
 
22.3%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1922
 
14.7%
사 514
 
3.9%
식 485
 
3.7%
회 479
 
3.7%
콘 468
 
3.6%
미 441
 
3.4%
레 386
 
3.0%
업 364
 
2.8%
이 307
 
2.4%
산 288
 
2.2%
Other values (268) 7395
56.7%
ASCII
ValueCountFrequency (%)
( 1456
38.9%
) 1456
38.9%
579
 
15.5%
O 38
 
1.0%
C 37
 
1.0%
N 31
 
0.8%
M 30
 
0.8%
E 29
 
0.8%
/ 21
 
0.6%
T 8
 
0.2%
Other values (14) 54
 
1.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

영향범주
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
환경성적
1370 
저탄소제품
577 

Length

Max length5
Median length4
Mean length4.2963534
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경성적 1370
70.4%
저탄소제품 577
29.6%

Length

2023-12-13T07:47:45.621380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:47:45.725302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경성적 1370
70.4%
저탄소제품 577
29.6%

인증번호
Text

Distinct1865
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-12-13T07:47:45.998497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.0066769
Min length7

Characters and Unicode

Total characters13642
Distinct characters14
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

Unique1823 ?
Unique (%)93.6%

Sample

1st row2020347
2nd row2020355
3rd row2020356
4th row2020357
5th row2020358
ValueCountFrequency (%)
2019158 11
 
0.6%
2020432 6
 
0.3%
2022362 5
 
0.3%
2022361 5
 
0.3%
2022360 5
 
0.3%
2022359 5
 
0.3%
2022358 5
 
0.3%
2022199 5
 
0.3%
2022363 5
 
0.3%
2021533 4
 
0.2%
Other values (1855) 1891
97.1%
2023-12-13T07:47:46.435799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5169
37.9%
0 3017
22.1%
1 1339
 
9.8%
3 959
 
7.0%
5 669
 
4.9%
4 640
 
4.7%
6 482
 
3.5%
7 471
 
3.5%
9 448
 
3.3%
8 435
 
3.2%
Other values (4) 13
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13629
99.9%
Uppercase Letter 7
 
0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5169
37.9%
0 3017
22.1%
1 1339
 
9.8%
3 959
 
7.0%
5 669
 
4.9%
4 640
 
4.7%
6 482
 
3.5%
7 471
 
3.5%
9 448
 
3.3%
8 435
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
57.1%
A 2
28.6%
D 1
 
14.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13629
99.9%
Latin 13
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5169
37.9%
0 3017
22.1%
1 1339
 
9.8%
3 959
 
7.0%
5 669
 
4.9%
4 640
 
4.7%
6 482
 
3.5%
7 471
 
3.5%
9 448
 
3.3%
8 435
 
3.2%
Latin
ValueCountFrequency (%)
Ⅱ 6
46.2%
C 4
30.8%
A 2
 
15.4%
D 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13636
> 99.9%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5169
37.9%
0 3017
22.1%
1 1339
 
9.8%
3 959
 
7.0%
5 669
 
4.9%
4 640
 
4.7%
6 482
 
3.5%
7 471
 
3.5%
9 448
 
3.3%
8 435
 
3.2%
Other values (3) 7
 
0.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%

제품군
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
생산재
1613 
비내구재
207 
에너지사용
 
106
내구재
 
13
서비스
 
8

Length

Max length5
Median length3
Mean length3.2152029
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생산재 1613
82.8%
비내구재 207
 
10.6%
에너지사용 106
 
5.4%
내구재 13
 
0.7%
서비스 8
 
0.4%

Length

2023-12-13T07:47:46.571737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:47:46.673266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생산재 1613
82.8%
비내구재 207
 
10.6%
에너지사용 106
 
5.4%
내구재 13
 
0.7%
서비스 8
 
0.4%

인증제품명
Text

Distinct1145
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-12-13T07:47:46.866856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length19.784797
Min length2

Characters and Unicode

Total characters38521
Distinct characters552
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1025 ?
Unique (%)52.6%

Sample

1st row레디믹스트 콘크리트[2524150]
2nd row레디믹스트 콘크리트[2524150]
3rd row레디믹스트 콘크리트[2521150]
4th row레디믹스트 콘크리트[2527150]
5th row레디믹스트 콘크리트[2530150]
ValueCountFrequency (%)
레디믹스트 927
 
18.9%
수도권 185
 
3.8%
콘크리트[2524150 89
 
1.8%
콘크리트 87
 
1.8%
콘크리트[2527150 81
 
1.7%
경상도 80
 
1.6%
콘크리트[2521150 79
 
1.6%
콘크리트[2530150 68
 
1.4%
충청도 66
 
1.3%
lng 41
 
0.8%
Other values (1481) 3191
65.2%
2023-12-13T07:47:47.195888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2952
 
7.7%
5 2191
 
5.7%
0 2130
 
5.5%
트 2080
 
5.4%
2 2004
 
5.2%
1 1550
 
4.0%
] 1484
 
3.9%
[ 1484
 
3.9%
스 1141
 
3.0%
리 1112
 
2.9%
Other values (542) 20393
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17276
44.8%
Decimal Number 9498
24.7%
Uppercase Letter 3162
 
8.2%
Space Separator 2952
 
7.7%
Close Punctuation 1724
 
4.5%
Open Punctuation 1720
 
4.5%
Other Punctuation 1150
 
3.0%
Lowercase Letter 992
 
2.6%
Math Symbol 19
 
< 0.1%
Connector Punctuation 16
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 2080
 
12.0%
스 1141
 
6.6%
리 1112
 
6.4%
콘 1036
 
6.0%
레 1033
 
6.0%
크 1022
 
5.9%
디 988
 
5.7%
믹 965
 
5.6%
도 842
 
4.9%
수 447
 
2.6%
Other values (459) 6610
38.3%
Uppercase Letter
ValueCountFrequency (%)
C 274
 
8.7%
L 270
 
8.5%
T 230
 
7.3%
E 209
 
6.6%
N 205
 
6.5%
P 202
 
6.4%
A 197
 
6.2%
S 186
 
5.9%
O 150
 
4.7%
F 144
 
4.6%
Other values (18) 1095
34.6%
Lowercase Letter
ValueCountFrequency (%)
m 244
24.6%
l 114
11.5%
g 108
10.9%
k 72
 
7.3%
x 59
 
5.9%
r 56
 
5.6%
o 55
 
5.5%
a 50
 
5.0%
e 49
 
4.9%
i 34
 
3.4%
Other values (14) 151
15.2%
Decimal Number
ValueCountFrequency (%)
5 2191
23.1%
0 2130
22.4%
2 2004
21.1%
1 1550
16.3%
3 498
 
5.2%
4 428
 
4.5%
7 282
 
3.0%
6 172
 
1.8%
8 163
 
1.7%
9 80
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 969
84.3%
. 118
 
10.3%
: 31
 
2.7%
* 14
 
1.2%
& 8
 
0.7%
' 4
 
0.3%
/ 4
 
0.3%
% 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
× 16
84.2%
= 2
 
10.5%
+ 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
] 1484
86.1%
) 240
 
13.9%
Open Punctuation
ValueCountFrequency (%)
[ 1484
86.3%
( 236
 
13.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 2
33.3%
Other Symbol
ValueCountFrequency (%)
㎡ 3
50.0%
㎥ 3
50.0%
Space Separator
ValueCountFrequency (%)
2952
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17276
44.8%
Common 17085
44.4%
Latin 4152
 
10.8%
Greek 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 2080
 
12.0%
스 1141
 
6.6%
리 1112
 
6.4%
콘 1036
 
6.0%
레 1033
 
6.0%
크 1022
 
5.9%
디 988
 
5.7%
믹 965
 
5.6%
도 842
 
4.9%
수 447
 
2.6%
Other values (459) 6610
38.3%
Latin
ValueCountFrequency (%)
C 274
 
6.6%
L 270
 
6.5%
m 244
 
5.9%
T 230
 
5.5%
E 209
 
5.0%
N 205
 
4.9%
P 202
 
4.9%
A 197
 
4.7%
S 186
 
4.5%
O 150
 
3.6%
Other values (43) 1985
47.8%
Common
ValueCountFrequency (%)
2952
17.3%
5 2191
12.8%
0 2130
12.5%
2 2004
11.7%
1 1550
9.1%
] 1484
8.7%
[ 1484
8.7%
, 969
 
5.7%
3 498
 
2.9%
4 428
 
2.5%
Other values (19) 1395
8.2%
Greek
ValueCountFrequency (%)
Φ 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21203
55.0%
Hangul 17272
44.8%
None 30
 
0.1%
Number Forms 6
 
< 0.1%
CJK Compat 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2952
13.9%
5 2191
 
10.3%
0 2130
 
10.0%
2 2004
 
9.5%
1 1550
 
7.3%
] 1484
 
7.0%
[ 1484
 
7.0%
, 969
 
4.6%
3 498
 
2.3%
4 428
 
2.0%
Other values (66) 5513
26.0%
Hangul
ValueCountFrequency (%)
트 2080
 
12.0%
스 1141
 
6.6%
리 1112
 
6.4%
콘 1036
 
6.0%
레 1033
 
6.0%
크 1022
 
5.9%
디 988
 
5.7%
믹 965
 
5.6%
도 842
 
4.9%
수 447
 
2.6%
Other values (457) 6606
38.2%
None
ValueCountFrequency (%)
× 16
53.3%
Φ 8
26.7%
Ø 6
 
20.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 2
33.3%
CJK Compat
ValueCountFrequency (%)
㎡ 3
50.0%
㎥ 3
50.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 3
75.0%
ㄷ 1
 
25.0%

자원발자국-총량
Text

MISSING 

Distinct1111
Distinct (%)58.3%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:47:47.517106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1515469
Min length8

Characters and Unicode

Total characters15545
Distinct characters14
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

Unique699 ?
Unique (%)36.7%

Sample

1st row8.85.E01
2nd row8.98.E01
3rd row7.76.E01
4th row9.27.E01
5th row1.02.E+00
ValueCountFrequency (%)
1.02.e+00 12
 
0.6%
3.08.e03 11
 
0.6%
1.00.e+00 9
 
0.5%
7.12.e01 8
 
0.4%
7.44.e01 8
 
0.4%
3.59.e02 8
 
0.4%
1.04.e+00 7
 
0.4%
1.05.e+00 7
 
0.4%
1.07.e+00 7
 
0.4%
1.06.e+00 7
 
0.4%
Other values (1101) 1823
95.6%
2023-12-13T07:47:48.033147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
24.5%
0 2596
16.7%
E 1907
12.3%
1 1687
10.9%
2 907
 
5.8%
3 800
 
5.1%
6 656
 
4.2%
7 617
 
4.0%
5 596
 
3.8%
4 592
 
3.8%
Other values (4) 1377
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
61.3%
Other Punctuation 3810
 
24.5%
Uppercase Letter 1907
 
12.3%
Math Symbol 289
 
1.9%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2596
27.2%
1 1687
17.7%
2 907
 
9.5%
3 800
 
8.4%
6 656
 
6.9%
7 617
 
6.5%
5 596
 
6.3%
4 592
 
6.2%
8 585
 
6.1%
9 499
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Math Symbol
ValueCountFrequency (%)
+ 289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13638
87.7%
Latin 1907
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
27.9%
0 2596
19.0%
1 1687
12.4%
2 907
 
6.7%
3 800
 
5.9%
6 656
 
4.8%
7 617
 
4.5%
5 596
 
4.4%
4 592
 
4.3%
8 585
 
4.3%
Other values (3) 792
 
5.8%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15545
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
24.5%
0 2596
16.7%
E 1907
12.3%
1 1687
10.9%
2 907
 
5.8%
3 800
 
5.1%
6 656
 
4.2%
7 617
 
4.0%
5 596
 
3.8%
4 592
 
3.8%
Other values (4) 1377
 
8.9%

자원발자국-단위
Categorical

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
kgSbe/m3
935 
kgSbe/개
344 
kgSbe/kg
161 
kgSbe/m2
139 
kgSbe/㎥
 
77
Other values (29)
291 

Length

Max length11
Median length8
Mean length7.6497175
Min length4

Unique

Unique9 ?
Unique (%)0.5%

Sample

1st rowkgSbe/m3
2nd rowkgSbe/m3
3rd rowkgSbe/m3
4th rowkgSbe/m3
5th rowkgSbe/m3

Common Values

ValueCountFrequency (%)
kgSbe/m3 935
48.0%
kgSbe/개 344
 
17.7%
kgSbe/kg 161
 
8.3%
kgSbe/m2 139
 
7.1%
kgSbe/㎥ 77
 
4.0%
kgSbe/대 68
 
3.5%
<NA> 40
 
2.1%
kgSbe/ton 37
 
1.9%
kgSb/m³ 27
 
1.4%
kgSbe/GJ 19
 
1.0%
Other values (24) 100
 
5.1%

Length

2023-12-13T07:47:48.199876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kgsbe/m3 935
48.0%
kgsbe/개 344
 
17.7%
kgsbe/kg 161
 
8.3%
kgsbe/m2 139
 
7.1%
kgsbe/㎥ 77
 
4.0%
kgsbe/대 68
 
3.5%
na 40
 
2.1%
kgsbe/ton 37
 
1.9%
kgsb/m³ 27
 
1.4%
kgsbe/gj 19
 
1.0%
Other values (24) 100
 
5.1%

자원발자국-제조전
Text

MISSING 

Distinct1119
Distinct (%)58.7%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:47:48.552676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.124279
Min length8

Characters and Unicode

Total characters15493
Distinct characters14
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

Unique710 ?
Unique (%)37.2%

Sample

1st row8.71.E01
2nd row8.88.E01
3rd row7.66.E01
4th row9.18.E01
5th row1.01.E+00
ValueCountFrequency (%)
3.02.e04 11
 
0.6%
1.06.e+00 10
 
0.5%
7.88.e01 8
 
0.4%
1.01.e+00 8
 
0.4%
1.15.e+00 8
 
0.4%
7.42.e01 8
 
0.4%
3.07.e02 8
 
0.4%
1.08.e+00 7
 
0.4%
2.15.e03 7
 
0.4%
3.72.e03 7
 
0.4%
Other values (1109) 1825
95.7%
2023-12-13T07:47:49.057645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
24.6%
0 2579
16.6%
E 1907
12.3%
1 1763
11.4%
2 854
 
5.5%
3 804
 
5.2%
7 658
 
4.2%
6 653
 
4.2%
5 608
 
3.9%
4 587
 
3.8%
Other values (4) 1270
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
61.5%
Other Punctuation 3810
 
24.6%
Uppercase Letter 1907
 
12.3%
Math Symbol 237
 
1.5%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2579
27.0%
1 1763
18.5%
2 854
 
9.0%
3 804
 
8.4%
7 658
 
6.9%
6 653
 
6.8%
5 608
 
6.4%
4 587
 
6.2%
8 519
 
5.4%
9 510
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Math Symbol
ValueCountFrequency (%)
+ 237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13586
87.7%
Latin 1907
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.0%
0 2579
19.0%
1 1763
13.0%
2 854
 
6.3%
3 804
 
5.9%
7 658
 
4.8%
6 653
 
4.8%
5 608
 
4.5%
4 587
 
4.3%
8 519
 
3.8%
Other values (3) 751
 
5.5%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
24.6%
0 2579
16.6%
E 1907
12.3%
1 1763
11.4%
2 854
 
5.5%
3 804
 
5.2%
7 658
 
4.2%
6 653
 
4.2%
5 608
 
3.9%
4 587
 
3.8%
Other values (4) 1270
 
8.2%

자원발자국-제조
Text

MISSING 

Distinct970
Distinct (%)50.9%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:47:49.461083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.020451
Min length8

Characters and Unicode

Total characters15295
Distinct characters14
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

Unique619 ?
Unique (%)32.5%

Sample

1st row1.35.E02
2nd row1.06.E02
3rd row9.64.E03
4th row9.73.E03
5th row1.08.E02
ValueCountFrequency (%)
1.21.e02 20
 
1.0%
1.17.e02 17
 
0.9%
1.06.e02 16
 
0.8%
1.04.e02 15
 
0.8%
1.10.e02 15
 
0.8%
1.11.e02 15
 
0.8%
1.15.e02 15
 
0.8%
1.19.e02 14
 
0.7%
1.12.e02 14
 
0.7%
1.23.e02 14
 
0.7%
Other values (960) 1752
91.9%
2023-12-13T07:47:49.993272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
24.9%
0 2344
15.3%
E 1907
12.5%
2 1511
 
9.9%
1 1400
 
9.2%
3 1232
 
8.1%
4 724
 
4.7%
5 491
 
3.2%
8 490
 
3.2%
9 476
 
3.1%
Other values (4) 910
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
62.3%
Other Punctuation 3810
 
24.9%
Uppercase Letter 1907
 
12.5%
Math Symbol 39
 
0.3%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2344
24.6%
2 1511
15.8%
1 1400
14.7%
3 1232
12.9%
4 724
 
7.6%
5 491
 
5.1%
8 490
 
5.1%
9 476
 
5.0%
7 475
 
5.0%
6 392
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Math Symbol
ValueCountFrequency (%)
+ 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13388
87.5%
Latin 1907
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.5%
0 2344
17.5%
2 1511
 
11.3%
1 1400
 
10.5%
3 1232
 
9.2%
4 724
 
5.4%
5 491
 
3.7%
8 490
 
3.7%
9 476
 
3.6%
7 475
 
3.5%
Other values (3) 435
 
3.2%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
24.9%
0 2344
15.3%
E 1907
12.5%
2 1511
 
9.9%
1 1400
 
9.2%
3 1232
 
8.1%
4 724
 
4.7%
5 491
 
3.2%
8 490
 
3.2%
9 476
 
3.1%
Other values (4) 910
 
5.9%

자원발자국-사용
Text

MISSING 

Distinct48
Distinct (%)60.8%
Missing1868
Missing (%)95.9%
Memory size15.3 KiB
2023-12-13T07:47:50.220052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8101266
Min length8

Characters and Unicode

Total characters696
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)48.1%

Sample

1st row3.09.E02
2nd row9.71.E+03
3rd row1.24.E+05
4th row4.61.E02
5th row3.75.E03
ValueCountFrequency (%)
5.94.e01 5
 
6.3%
2.05.e+02 5
 
6.3%
2.49.e+02 5
 
6.3%
3.04.e+02 5
 
6.3%
3.31.e+02 5
 
6.3%
1.39.e+02 5
 
6.3%
1.68.e+02 5
 
6.3%
3.59.e+00 2
 
2.5%
5.19.e+00 2
 
2.5%
2.37.e+02 2
 
2.5%
Other values (38) 38
48.1%
2023-12-13T07:47:50.604266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 158
22.7%
0 109
15.7%
E 79
11.4%
2 75
10.8%
+ 64
9.2%
3 49
 
7.0%
1 46
 
6.6%
9 30
 
4.3%
5 25
 
3.6%
4 22
 
3.2%
Other values (3) 39
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 395
56.8%
Other Punctuation 158
 
22.7%
Uppercase Letter 79
 
11.4%
Math Symbol 64
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 109
27.6%
2 75
19.0%
3 49
12.4%
1 46
11.6%
9 30
 
7.6%
5 25
 
6.3%
4 22
 
5.6%
6 15
 
3.8%
8 15
 
3.8%
7 9
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 158
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 79
100.0%
Math Symbol
ValueCountFrequency (%)
+ 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 617
88.6%
Latin 79
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 158
25.6%
0 109
17.7%
2 75
12.2%
+ 64
10.4%
3 49
 
7.9%
1 46
 
7.5%
9 30
 
4.9%
5 25
 
4.1%
4 22
 
3.6%
6 15
 
2.4%
Other values (2) 24
 
3.9%
Latin
ValueCountFrequency (%)
E 79
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 158
22.7%
0 109
15.7%
E 79
11.4%
2 75
10.8%
+ 64
9.2%
3 49
 
7.0%
1 46
 
6.6%
9 30
 
4.3%
5 25
 
3.6%
4 22
 
3.2%
Other values (3) 39
 
5.6%

자원발자국-폐기
Text

MISSING 

Distinct216
Distinct (%)74.7%
Missing1658
Missing (%)85.2%
Memory size15.3 KiB
2023-12-13T07:47:50.924556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0034602
Min length8

Characters and Unicode

Total characters2313
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)59.9%

Sample

1st row9.20.E06
2nd row9.20.E06
3rd row3.21.E05
4th row4.02.E05
5th row2.98.E05
ValueCountFrequency (%)
5.26.e02 6
 
2.1%
1.58.e04 6
 
2.1%
4.81.e02 5
 
1.7%
6.35.e03 5
 
1.7%
4.96.e02 5
 
1.7%
3.82.e04 4
 
1.4%
5.25.e02 4
 
1.4%
1.49.e04 4
 
1.4%
6.26.e02 3
 
1.0%
1.46.e04 3
 
1.0%
Other values (206) 244
84.4%
2023-12-13T07:47:51.323898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 578
25.0%
0 352
15.2%
E 289
12.5%
5 193
 
8.3%
2 172
 
7.4%
4 170
 
7.3%
6 129
 
5.6%
1 128
 
5.5%
3 101
 
4.4%
8 73
 
3.2%
Other values (3) 128
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1445
62.5%
Other Punctuation 578
 
25.0%
Uppercase Letter 289
 
12.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 352
24.4%
5 193
13.4%
2 172
11.9%
4 170
11.8%
6 129
 
8.9%
1 128
 
8.9%
3 101
 
7.0%
8 73
 
5.1%
9 68
 
4.7%
7 59
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 578
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 289
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2024
87.5%
Latin 289
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 578
28.6%
0 352
17.4%
5 193
 
9.5%
2 172
 
8.5%
4 170
 
8.4%
6 129
 
6.4%
1 128
 
6.3%
3 101
 
5.0%
8 73
 
3.6%
9 68
 
3.4%
Other values (2) 60
 
3.0%
Latin
ValueCountFrequency (%)
E 289
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 578
25.0%
0 352
15.2%
E 289
12.5%
5 193
 
8.3%
2 172
 
7.4%
4 170
 
7.3%
6 129
 
5.6%
1 128
 
5.5%
3 101
 
4.4%
8 73
 
3.2%
Other values (3) 128
 
5.5%

탄소발자국-총량
Text

Distinct959
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-12-13T07:47:51.630278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8366718
Min length8

Characters and Unicode

Total characters17205
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique643 ?
Unique (%)33.0%

Sample

1st row2.28.E+02
2nd row2.31.E+02
3rd row2.00.E+02
4th row2.38.E+02
5th row2.63.E+02
ValueCountFrequency (%)
2.38.e+02 16
 
0.8%
2.25.e+02 14
 
0.7%
2.73.e+02 13
 
0.7%
2.65.e+02 13
 
0.7%
2.36.e+02 12
 
0.6%
2.72.e+02 12
 
0.6%
2.42.e+02 12
 
0.6%
2.57.e+02 11
 
0.6%
2.09.e+02 11
 
0.6%
2.53.e+02 11
 
0.6%
Other values (949) 1822
93.6%
2023-12-13T07:47:52.124566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3890
22.6%
0 2611
15.2%
2 2407
14.0%
E 1947
11.3%
+ 1633
9.5%
1 1149
 
6.7%
3 711
 
4.1%
4 604
 
3.5%
5 491
 
2.9%
6 478
 
2.8%
Other values (3) 1284
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9735
56.6%
Other Punctuation 3890
 
22.6%
Uppercase Letter 1947
 
11.3%
Math Symbol 1633
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2611
26.8%
2 2407
24.7%
1 1149
11.8%
3 711
 
7.3%
4 604
 
6.2%
5 491
 
5.0%
6 478
 
4.9%
8 456
 
4.7%
7 415
 
4.3%
9 413
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3890
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1947
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1633
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15258
88.7%
Latin 1947
 
11.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3890
25.5%
0 2611
17.1%
2 2407
15.8%
+ 1633
10.7%
1 1149
 
7.5%
3 711
 
4.7%
4 604
 
4.0%
5 491
 
3.2%
6 478
 
3.1%
8 456
 
3.0%
Other values (2) 828
 
5.4%
Latin
ValueCountFrequency (%)
E 1947
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17205
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3890
22.6%
0 2611
15.2%
2 2407
14.0%
E 1947
11.3%
+ 1633
9.5%
1 1149
 
6.7%
3 711
 
4.1%
4 604
 
3.5%
5 491
 
2.9%
6 478
 
2.8%
Other values (3) 1284
 
7.5%

탄소발자국-단위
Categorical

Distinct33
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
kgCO2e/m3
935 
kgCO2e/개
346 
kgCO2e/kg
161 
kgCO2e/m2
139 
kgCO2e/대
105 
Other values (28)
261 

Length

Max length12
Median length9
Mean length8.7128916
Min length7

Unique

Unique8 ?
Unique (%)0.4%

Sample

1st rowkgCO2e/m3
2nd rowkgCO2e/m3
3rd rowkgCO2e/m3
4th rowkgCO2e/m3
5th rowkgCO2e/m3

Common Values

ValueCountFrequency (%)
kgCO2e/m3 935
48.0%
kgCO2e/개 346
 
17.8%
kgCO2e/kg 161
 
8.3%
kgCO2e/m2 139
 
7.1%
kgCO2e/대 105
 
5.4%
kgCO2e/㎥ 77
 
4.0%
kgCO2e/ton 37
 
1.9%
kgCO₂/m³ 27
 
1.4%
kgCO2e/GJ 19
 
1.0%
kgCO₂/개 13
 
0.7%
Other values (23) 88
 
4.5%

Length

2023-12-13T07:47:52.315625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kgco2e/m3 935
48.0%
kgco2e/개 346
 
17.8%
kgco2e/kg 161
 
8.3%
kgco2e/m2 139
 
7.1%
kgco2e/대 105
 
5.4%
kgco2e/㎥ 77
 
4.0%
kgco2e/ton 37
 
1.9%
kgco₂/m³ 27
 
1.4%
kgco2e/gj 19
 
1.0%
kgco₂/개 13
 
0.7%
Other values (23) 88
 
4.5%

탄소발자국-제조전
Text

Distinct917
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-12-13T07:47:52.653676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8135593
Min length8

Characters and Unicode

Total characters17160
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique586 ?
Unique (%)30.1%

Sample

1st row2.26.E+02
2nd row2.29.E+02
3rd row1.99.E+02
4th row2.37.E+02
5th row2.61.E+02
ValueCountFrequency (%)
2.36.e+02 16
 
0.8%
2.71.e+02 14
 
0.7%
2.33.e+02 14
 
0.7%
2.70.e+02 13
 
0.7%
2.23.e+02 13
 
0.7%
2.40.e+02 12
 
0.6%
2.51.e+02 12
 
0.6%
2.08.e+02 12
 
0.6%
2.50.e+02 12
 
0.6%
2.60.e+02 11
 
0.6%
Other values (907) 1818
93.4%
2023-12-13T07:47:53.129639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3890
22.7%
0 2657
15.5%
2 2431
14.2%
E 1947
11.3%
+ 1588
9.3%
1 1270
 
7.4%
3 671
 
3.9%
6 479
 
2.8%
5 479
 
2.8%
4 468
 
2.7%
Other values (3) 1280
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9735
56.7%
Other Punctuation 3890
 
22.7%
Uppercase Letter 1947
 
11.3%
Math Symbol 1588
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2657
27.3%
2 2431
25.0%
1 1270
13.0%
3 671
 
6.9%
6 479
 
4.9%
5 479
 
4.9%
4 468
 
4.8%
7 448
 
4.6%
8 425
 
4.4%
9 407
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3890
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1947
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1588
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15213
88.7%
Latin 1947
 
11.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3890
25.6%
0 2657
17.5%
2 2431
16.0%
+ 1588
10.4%
1 1270
 
8.3%
3 671
 
4.4%
6 479
 
3.1%
5 479
 
3.1%
4 468
 
3.1%
7 448
 
2.9%
Other values (2) 832
 
5.5%
Latin
ValueCountFrequency (%)
E 1947
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3890
22.7%
0 2657
15.5%
2 2431
14.2%
E 1947
11.3%
+ 1588
9.3%
1 1270
 
7.4%
3 671
 
3.9%
6 479
 
2.8%
5 479
 
2.8%
4 468
 
2.7%
Other values (3) 1280
 
7.5%

탄소발자국-제조
Text

Distinct936
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-12-13T07:47:53.524827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.682075
Min length8

Characters and Unicode

Total characters16904
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)31.9%

Sample

1st row2.12.E+00
2nd row1.66.E+00
3rd row1.51.E+00
4th row1.53.E+00
5th row1.70.E+00
ValueCountFrequency (%)
1.44.e+00 16
 
0.8%
1.29.e+00 15
 
0.8%
1.76.e+00 15
 
0.8%
1.91.e+00 13
 
0.7%
1.45.e+00 13
 
0.7%
1.27.e+00 13
 
0.7%
1.61.e+00 12
 
0.6%
1.85.e+00 12
 
0.6%
1.81.e+00 11
 
0.6%
1.86.e+00 11
 
0.6%
Other values (926) 1816
93.3%
2023-12-13T07:47:54.096547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3890
23.0%
0 3548
21.0%
E 1947
11.5%
1 1752
10.4%
+ 1332
 
7.9%
2 1033
 
6.1%
3 602
 
3.6%
4 534
 
3.2%
6 494
 
2.9%
5 486
 
2.9%
Other values (3) 1286
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9735
57.6%
Other Punctuation 3890
 
23.0%
Uppercase Letter 1947
 
11.5%
Math Symbol 1332
 
7.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3548
36.4%
1 1752
18.0%
2 1033
 
10.6%
3 602
 
6.2%
4 534
 
5.5%
6 494
 
5.1%
5 486
 
5.0%
7 452
 
4.6%
9 423
 
4.3%
8 411
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3890
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1947
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14957
88.5%
Latin 1947
 
11.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3890
26.0%
0 3548
23.7%
1 1752
11.7%
+ 1332
 
8.9%
2 1033
 
6.9%
3 602
 
4.0%
4 534
 
3.6%
6 494
 
3.3%
5 486
 
3.2%
7 452
 
3.0%
Other values (2) 834
 
5.6%
Latin
ValueCountFrequency (%)
E 1947
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3890
23.0%
0 3548
21.0%
E 1947
11.5%
1 1752
10.4%
+ 1332
 
7.9%
2 1033
 
6.1%
3 602
 
3.6%
4 534
 
3.2%
6 494
 
2.9%
5 486
 
2.9%
Other values (3) 1286
 
7.6%

탄소발자국-사용
Text

MISSING 

Distinct66
Distinct (%)56.9%
Missing1831
Missing (%)94.0%
Memory size15.3 KiB
2023-12-13T07:47:54.369094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9913793
Min length8

Characters and Unicode

Total characters1043
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)39.7%

Sample

1st row2.94.E+04
2nd row2.94.E+04
3rd row3.68.E+04
4th row4.57.E+04
5th row6.32.E+04
ValueCountFrequency (%)
2.94.e+04 6
 
5.2%
2.47.e+04 5
 
4.3%
2.98.e+04 5
 
4.3%
3.63.e+04 5
 
4.3%
4.43.e+04 5
 
4.3%
5.39.e+04 5
 
4.3%
9.39.e+01 5
 
4.3%
5.88.e+04 5
 
4.3%
4.57.e+04 4
 
3.4%
6.32.e+04 4
 
3.4%
Other values (56) 67
57.8%
2023-12-13T07:47:54.746905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 232
22.2%
0 137
13.1%
4 134
12.8%
E 116
11.1%
+ 115
11.0%
3 59
 
5.7%
2 52
 
5.0%
9 39
 
3.7%
6 39
 
3.7%
8 37
 
3.5%
Other values (3) 83
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 580
55.6%
Other Punctuation 232
 
22.2%
Uppercase Letter 116
 
11.1%
Math Symbol 115
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 137
23.6%
4 134
23.1%
3 59
10.2%
2 52
 
9.0%
9 39
 
6.7%
6 39
 
6.7%
8 37
 
6.4%
5 31
 
5.3%
1 30
 
5.2%
7 22
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 232
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 116
100.0%
Math Symbol
ValueCountFrequency (%)
+ 115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 927
88.9%
Latin 116
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 232
25.0%
0 137
14.8%
4 134
14.5%
+ 115
12.4%
3 59
 
6.4%
2 52
 
5.6%
9 39
 
4.2%
6 39
 
4.2%
8 37
 
4.0%
5 31
 
3.3%
Other values (2) 52
 
5.6%
Latin
ValueCountFrequency (%)
E 116
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 232
22.2%
0 137
13.1%
4 134
12.8%
E 116
11.1%
+ 115
11.0%
3 59
 
5.7%
2 52
 
5.0%
9 39
 
3.7%
6 39
 
3.7%
8 37
 
3.5%
Other values (3) 83
 
8.0%

탄소발자국-폐기
Text

MISSING 

Distinct230
Distinct (%)70.6%
Missing1621
Missing (%)83.3%
Memory size15.3 KiB
2023-12-13T07:47:55.093062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.3343558
Min length8

Characters and Unicode

Total characters2717
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)54.6%

Sample

1st row3.55.E+00
2nd row3.56.E+00
3rd row3.56.E+00
4th row3.80.E+00
5th row3.51.E+00
ValueCountFrequency (%)
1.08.e+01 9
 
2.8%
3.80.e02 6
 
1.8%
1.03.e+01 6
 
1.8%
9.14.e01 5
 
1.5%
1.91.e02 5
 
1.5%
1.02.e+01 4
 
1.2%
4.22.e+00 4
 
1.2%
4.87.e02 4
 
1.2%
3.56.e+00 4
 
1.2%
1.35.e02 4
 
1.2%
Other values (220) 275
84.4%
2023-12-13T07:47:55.557236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 652
24.0%
0 465
17.1%
E 326
12.0%
1 274
10.1%
2 237
 
8.7%
3 157
 
5.8%
+ 109
 
4.0%
4 99
 
3.6%
5 95
 
3.5%
8 89
 
3.3%
Other values (3) 214
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1630
60.0%
Other Punctuation 652
 
24.0%
Uppercase Letter 326
 
12.0%
Math Symbol 109
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 465
28.5%
1 274
16.8%
2 237
14.5%
3 157
 
9.6%
4 99
 
6.1%
5 95
 
5.8%
8 89
 
5.5%
9 75
 
4.6%
6 74
 
4.5%
7 65
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 652
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 326
100.0%
Math Symbol
ValueCountFrequency (%)
+ 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2391
88.0%
Latin 326
 
12.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 652
27.3%
0 465
19.4%
1 274
11.5%
2 237
 
9.9%
3 157
 
6.6%
+ 109
 
4.6%
4 99
 
4.1%
5 95
 
4.0%
8 89
 
3.7%
9 75
 
3.1%
Other values (2) 139
 
5.8%
Latin
ValueCountFrequency (%)
E 326
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2717
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 652
24.0%
0 465
17.1%
E 326
12.0%
1 274
10.1%
2 237
 
8.7%
3 157
 
5.8%
+ 109
 
4.0%
4 99
 
3.6%
5 95
 
3.5%
8 89
 
3.3%
Other values (3) 214
 
7.9%

오존층영향-총량
Text

MISSING 

Distinct1323
Distinct (%)69.4%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:47:55.894614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0010488
Min length8

Characters and Unicode

Total characters15258
Distinct characters14
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

Unique975 ?
Unique (%)51.1%

Sample

1st row5.99.E06
2nd row6.84.E06
3rd row5.69.E06
4th row7.04.E06
5th row7.49.E06
ValueCountFrequency (%)
1.33.e05 13
 
0.7%
2.61.e06 7
 
0.4%
1.04.e01 6
 
0.3%
7.95.e08 6
 
0.3%
1.56.e03 6
 
0.3%
1.14.e04 6
 
0.3%
1.42.e02 6
 
0.3%
1.13.e05 5
 
0.3%
1.30.e02 5
 
0.3%
1.11.e03 5
 
0.3%
Other values (1313) 1842
96.6%
2023-12-13T07:47:56.553700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
25.0%
0 2334
15.3%
E 1907
12.5%
2 1280
 
8.4%
1 1129
 
7.4%
5 834
 
5.5%
3 831
 
5.4%
6 753
 
4.9%
4 700
 
4.6%
7 638
 
4.2%
Other values (4) 1042
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
62.5%
Other Punctuation 3810
 
25.0%
Uppercase Letter 1907
 
12.5%
Dash Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2334
24.5%
2 1280
13.4%
1 1129
11.8%
5 834
 
8.7%
3 831
 
8.7%
6 753
 
7.9%
4 700
 
7.3%
7 638
 
6.7%
8 519
 
5.4%
9 517
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13351
87.5%
Latin 1907
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.5%
0 2334
17.5%
2 1280
 
9.6%
1 1129
 
8.5%
5 834
 
6.2%
3 831
 
6.2%
6 753
 
5.6%
4 700
 
5.2%
7 638
 
4.8%
8 519
 
3.9%
Other values (3) 523
 
3.9%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
25.0%
0 2334
15.3%
E 1907
12.5%
2 1280
 
8.4%
1 1129
 
7.4%
5 834
 
5.5%
3 831
 
5.4%
6 753
 
4.9%
4 700
 
4.6%
7 638
 
4.2%
Other values (4) 1042
 
6.8%

오존층영향-단위
Categorical

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
kgCFC11e/m3
935 
kgCFC11e/개
343 
kgCFC11e/kg
162 
kgCFC11e/m2
139 
kgCFC11e/㎥
 
77
Other values (29)
291 

Length

Max length14
Median length11
Mean length10.588598
Min length4

Unique

Unique9 ?
Unique (%)0.5%

Sample

1st rowkgCFC11e/m3
2nd rowkgCFC11e/m3
3rd rowkgCFC11e/m3
4th rowkgCFC11e/m3
5th rowkgCFC11e/m3

Common Values

ValueCountFrequency (%)
kgCFC11e/m3 935
48.0%
kgCFC11e/개 343
 
17.6%
kgCFC11e/kg 162
 
8.3%
kgCFC11e/m2 139
 
7.1%
kgCFC11e/㎥ 77
 
4.0%
kgCFC11e/대 68
 
3.5%
<NA> 40
 
2.1%
kgCFC11e/ton 37
 
1.9%
kgCFC11/m³ 27
 
1.4%
kgCFC11e/GJ 19
 
1.0%
Other values (24) 100
 
5.1%

Length

2023-12-13T07:47:56.684076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kgcfc11e/m3 935
48.0%
kgcfc11e/개 343
 
17.6%
kgcfc11e/kg 162
 
8.3%
kgcfc11e/m2 139
 
7.1%
kgcfc11e/㎥ 77
 
4.0%
kgcfc11e/대 68
 
3.5%
na 40
 
2.1%
kgcfc11e/ton 37
 
1.9%
kgcfc11/m³ 27
 
1.4%
kgcfc11e/gj 19
 
1.0%
Other values (24) 100
 
5.1%

오존층영향-제조전
Text

MISSING 

Distinct1312
Distinct (%)68.8%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:47:56.964021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0010488
Min length8

Characters and Unicode

Total characters15258
Distinct characters14
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

Unique951 ?
Unique (%)49.9%

Sample

1st row5.62.E06
2nd row6.83.E06
3rd row5.68.E06
4th row7.03.E06
5th row7.48.E06
ValueCountFrequency (%)
1.33.e05 11
 
0.6%
1.89.e05 8
 
0.4%
2.61.e06 7
 
0.4%
7.93.e08 7
 
0.4%
1.04.e01 6
 
0.3%
1.42.e02 6
 
0.3%
2.13.e05 6
 
0.3%
1.55.e07 6
 
0.3%
1.04.e05 6
 
0.3%
1.14.e04 6
 
0.3%
Other values (1302) 1838
96.4%
2023-12-13T07:47:57.360391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
25.0%
0 2335
15.3%
E 1907
12.5%
2 1315
 
8.6%
1 1099
 
7.2%
6 816
 
5.3%
3 807
 
5.3%
5 803
 
5.3%
4 667
 
4.4%
7 650
 
4.3%
Other values (4) 1049
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
62.5%
Other Punctuation 3810
 
25.0%
Uppercase Letter 1907
 
12.5%
Dash Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2335
24.5%
2 1315
13.8%
1 1099
11.5%
6 816
 
8.6%
3 807
 
8.5%
5 803
 
8.4%
4 667
 
7.0%
7 650
 
6.8%
8 535
 
5.6%
9 508
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13351
87.5%
Latin 1907
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.5%
0 2335
17.5%
2 1315
 
9.8%
1 1099
 
8.2%
6 816
 
6.1%
3 807
 
6.0%
5 803
 
6.0%
4 667
 
5.0%
7 650
 
4.9%
8 535
 
4.0%
Other values (3) 514
 
3.8%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
25.0%
0 2335
15.3%
E 1907
12.5%
2 1315
 
8.6%
1 1099
 
7.2%
6 816
 
5.3%
3 807
 
5.3%
5 803
 
5.3%
4 667
 
4.4%
7 650
 
4.3%
Other values (4) 1049
 
6.9%

오존층영향-제조
Text

MISSING 

Distinct1258
Distinct (%)66.0%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:47:57.672084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters15256
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique949 ?
Unique (%)49.8%

Sample

1st row3.74.E07
2nd row9.28.E09
3rd row8.86.E09
4th row8.88.E09
5th row9.27.E09
ValueCountFrequency (%)
1.03.e06 13
 
0.7%
6.28.e10 11
 
0.6%
3.40.e06 8
 
0.4%
2.41.e06 8
 
0.4%
1.31.e06 7
 
0.4%
1.54.e06 7
 
0.4%
1.31.e09 7
 
0.4%
7.67.e07 7
 
0.4%
1.19.e08 7
 
0.4%
1.82.e09 7
 
0.4%
Other values (1248) 1825
95.7%
2023-12-13T07:47:58.082240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
25.0%
0 2208
14.5%
E 1907
12.5%
1 1477
 
9.7%
9 868
 
5.7%
6 803
 
5.3%
2 740
 
4.9%
8 727
 
4.8%
3 721
 
4.7%
7 717
 
4.7%
Other values (3) 1278
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
62.5%
Other Punctuation 3810
 
25.0%
Uppercase Letter 1907
 
12.5%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2208
23.2%
1 1477
15.5%
9 868
 
9.1%
6 803
 
8.4%
2 740
 
7.8%
8 727
 
7.6%
3 721
 
7.6%
7 717
 
7.5%
5 645
 
6.8%
4 629
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13349
87.5%
Latin 1907
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.5%
0 2208
16.5%
1 1477
 
11.1%
9 868
 
6.5%
6 803
 
6.0%
2 740
 
5.5%
8 727
 
5.4%
3 721
 
5.4%
7 717
 
5.4%
5 645
 
4.8%
Other values (2) 633
 
4.7%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
25.0%
0 2208
14.5%
E 1907
12.5%
1 1477
 
9.7%
9 868
 
5.7%
6 803
 
5.3%
2 740
 
4.9%
8 727
 
4.8%
3 721
 
4.7%
7 717
 
4.7%
Other values (3) 1278
 
8.4%

오존층영향-사용
Text

MISSING 

Distinct48
Distinct (%)60.8%
Missing1868
Missing (%)95.9%
Memory size15.3 KiB
2023-12-13T07:47:58.293777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters632
Distinct characters12
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

Unique38 ?
Unique (%)48.1%

Sample

1st row1.35.E10
2nd row4.43.E05
3rd row4.80.E03
4th row2.01.E10
5th row1.42.E09
ValueCountFrequency (%)
2.59.e09 5
 
6.3%
1.47.e04 5
 
6.3%
1.81.e04 5
 
6.3%
2.20.e04 5
 
6.3%
2.41.e04 5
 
6.3%
1.00.e04 5
 
6.3%
1.20.e04 5
 
6.3%
2.27.e08 2
 
2.5%
1.71.e04 2
 
2.5%
3.20.e08 2
 
2.5%
Other values (38) 38
48.1%
2023-12-13T07:47:58.581298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 158
25.0%
0 111
17.6%
E 79
12.5%
4 68
10.8%
1 59
 
9.3%
2 42
 
6.6%
8 30
 
4.7%
9 21
 
3.3%
5 20
 
3.2%
3 19
 
3.0%
Other values (2) 25
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 395
62.5%
Other Punctuation 158
 
25.0%
Uppercase Letter 79
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
28.1%
4 68
17.2%
1 59
14.9%
2 42
 
10.6%
8 30
 
7.6%
9 21
 
5.3%
5 20
 
5.1%
3 19
 
4.8%
7 17
 
4.3%
6 8
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 158
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 553
87.5%
Latin 79
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 158
28.6%
0 111
20.1%
4 68
12.3%
1 59
 
10.7%
2 42
 
7.6%
8 30
 
5.4%
9 21
 
3.8%
5 20
 
3.6%
3 19
 
3.4%
7 17
 
3.1%
Latin
ValueCountFrequency (%)
E 79
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 632
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 158
25.0%
0 111
17.6%
E 79
12.5%
4 68
10.8%
1 59
 
9.3%
2 42
 
6.6%
8 30
 
4.7%
9 21
 
3.3%
5 20
 
3.2%
3 19
 
3.0%
Other values (2) 25
 
4.0%

오존층영향-폐기
Text

MISSING 

Distinct206
Distinct (%)71.3%
Missing1658
Missing (%)85.2%
Memory size15.3 KiB
2023-12-13T07:47:58.934194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters2312
Distinct characters12
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

Unique159 ?
Unique (%)55.0%

Sample

1st row2.03.E10
2nd row2.03.E10
3rd row7.62.E10
4th row9.59.E10
5th row7.13.E10
ValueCountFrequency (%)
1.61.e09 6
 
2.1%
6.64.e07 6
 
2.1%
6.06.e07 5
 
1.7%
7.58.e08 5
 
1.7%
1.10.e09 5
 
1.7%
6.28.e07 5
 
1.7%
6.09.e07 5
 
1.7%
6.63.e07 4
 
1.4%
1.16.e09 3
 
1.0%
5.48.e10 3
 
1.0%
Other values (196) 242
83.7%
2023-12-13T07:47:59.410244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 578
25.0%
0 340
14.7%
E 289
12.5%
1 277
12.0%
9 153
 
6.6%
7 145
 
6.3%
6 128
 
5.5%
2 106
 
4.6%
8 85
 
3.7%
3 78
 
3.4%
Other values (2) 133
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1445
62.5%
Other Punctuation 578
 
25.0%
Uppercase Letter 289
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 340
23.5%
1 277
19.2%
9 153
10.6%
7 145
10.0%
6 128
 
8.9%
2 106
 
7.3%
8 85
 
5.9%
3 78
 
5.4%
4 77
 
5.3%
5 56
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 578
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 289
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2023
87.5%
Latin 289
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 578
28.6%
0 340
16.8%
1 277
13.7%
9 153
 
7.6%
7 145
 
7.2%
6 128
 
6.3%
2 106
 
5.2%
8 85
 
4.2%
3 78
 
3.9%
4 77
 
3.8%
Latin
ValueCountFrequency (%)
E 289
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 578
25.0%
0 340
14.7%
E 289
12.5%
1 277
12.0%
9 153
 
6.6%
7 145
 
6.3%
6 128
 
5.5%
2 106
 
4.6%
8 85
 
3.7%
3 78
 
3.4%
Other values (2) 133
 
5.8%

산성비-총량
Text

MISSING 

Distinct972
Distinct (%)50.9%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:47:59.766199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0623363
Min length8

Characters and Unicode

Total characters15391
Distinct characters14
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

Unique589 ?
Unique (%)30.9%

Sample

1st row3.07.E01
2nd row3.11.E01
3rd row2.68.E01
4th row3.21.E01
5th row3.50.E01
ValueCountFrequency (%)
3.55.e01 12
 
0.6%
1.35.e03 12
 
0.6%
3.20.e01 11
 
0.6%
3.22.e01 11
 
0.6%
3.15.e01 10
 
0.5%
3.03.e01 10
 
0.5%
3.16.e01 10
 
0.5%
3.05.e01 9
 
0.5%
3.52.e01 9
 
0.5%
3.51.e01 9
 
0.5%
Other values (962) 1806
94.6%
2023-12-13T07:48:00.264202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.8%
0 2375
15.4%
E 1909
12.4%
1 1890
12.3%
3 1315
 
8.5%
2 1107
 
7.2%
4 679
 
4.4%
5 542
 
3.5%
6 454
 
2.9%
9 405
 
2.6%
Other values (4) 901
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
62.0%
Other Punctuation 3814
 
24.8%
Uppercase Letter 1909
 
12.4%
Math Symbol 119
 
0.8%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2375
24.9%
1 1890
19.8%
3 1315
13.8%
2 1107
11.6%
4 679
 
7.1%
5 542
 
5.7%
6 454
 
4.8%
9 405
 
4.2%
7 400
 
4.2%
8 378
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13482
87.6%
Latin 1909
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.3%
0 2375
17.6%
1 1890
14.0%
3 1315
 
9.8%
2 1107
 
8.2%
4 679
 
5.0%
5 542
 
4.0%
6 454
 
3.4%
9 405
 
3.0%
7 400
 
3.0%
Other values (3) 501
 
3.7%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.8%
0 2375
15.4%
E 1909
12.4%
1 1890
12.3%
3 1315
 
8.5%
2 1107
 
7.2%
4 679
 
4.4%
5 542
 
3.5%
6 454
 
2.9%
9 405
 
2.6%
Other values (4) 901
 
5.9%

산성비-단위
Categorical

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
kgSO2e/m3
935 
kgSO2e/개
344 
kgSO2e/kg
161 
kgSO2e/m2
139 
kgSO2e/㎥
 
77
Other values (30)
291 

Length

Max length12
Median length9
Mean length8.633282
Min length4

Unique

Unique9 ?
Unique (%)0.5%

Sample

1st rowkgSO2e/m3
2nd rowkgSO2e/m3
3rd rowkgSO2e/m3
4th rowkgSO2e/m3
5th rowkgSO2e/m3

Common Values

ValueCountFrequency (%)
kgSO2e/m3 935
48.0%
kgSO2e/개 344
 
17.7%
kgSO2e/kg 161
 
8.3%
kgSO2e/m2 139
 
7.1%
kgSO2e/㎥ 77
 
4.0%
kgSO2e/대 68
 
3.5%
<NA> 38
 
2.0%
kgSO2e/ton 37
 
1.9%
kgSO₂/m³ 27
 
1.4%
kgSO2e/GJ 19
 
1.0%
Other values (25) 102
 
5.2%

Length

2023-12-13T07:48:00.464635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kgso2e/m3 935
48.0%
kgso2e/개 346
 
17.8%
kgso2e/kg 161
 
8.3%
kgso2e/m2 139
 
7.1%
kgso2e/㎥ 77
 
4.0%
kgso2e/대 68
 
3.5%
na 38
 
2.0%
kgso2e/ton 37
 
1.9%
kgso₂/m³ 27
 
1.4%
kgso2e/gj 19
 
1.0%
Other values (24) 100
 
5.1%

산성비-제조전
Text

MISSING 

Distinct977
Distinct (%)51.2%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:00.851512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0314301
Min length8

Characters and Unicode

Total characters15332
Distinct characters14
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

Unique610 ?
Unique (%)32.0%

Sample

1st row3.01.E01
2nd row3.07.E01
3rd row2.64.E01
4th row3.17.E01
5th row3.46.E01
ValueCountFrequency (%)
3.25.e01 12
 
0.6%
3.47.e04 11
 
0.6%
3.12.e01 10
 
0.5%
3.52.e01 10
 
0.5%
3.07.e01 10
 
0.5%
3.41.e01 9
 
0.5%
2.88.e01 9
 
0.5%
3.04.e01 9
 
0.5%
3.01.e01 9
 
0.5%
3.10.e01 9
 
0.5%
Other values (967) 1811
94.9%
2023-12-13T07:48:01.444124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.9%
0 2376
15.5%
E 1909
12.5%
1 1869
12.2%
3 1303
 
8.5%
2 1035
 
6.8%
4 743
 
4.8%
5 487
 
3.2%
6 456
 
3.0%
9 431
 
2.8%
Other values (4) 909
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
62.3%
Other Punctuation 3814
 
24.9%
Uppercase Letter 1909
 
12.5%
Math Symbol 60
 
0.4%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2376
24.9%
1 1869
19.6%
3 1303
13.7%
2 1035
10.8%
4 743
 
7.8%
5 487
 
5.1%
6 456
 
4.8%
9 431
 
4.5%
7 428
 
4.5%
8 417
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13423
87.5%
Latin 1909
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.4%
0 2376
17.7%
1 1869
13.9%
3 1303
 
9.7%
2 1035
 
7.7%
4 743
 
5.5%
5 487
 
3.6%
6 456
 
3.4%
9 431
 
3.2%
7 428
 
3.2%
Other values (3) 481
 
3.6%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15332
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.9%
0 2376
15.5%
E 1909
12.5%
1 1869
12.2%
3 1303
 
8.5%
2 1035
 
6.8%
4 743
 
4.8%
5 487
 
3.2%
6 456
 
3.0%
9 431
 
2.8%
Other values (4) 909
 
5.9%

산성비-제조
Text

MISSING 

Distinct1108
Distinct (%)58.0%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:01.867262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0130959
Min length8

Characters and Unicode

Total characters15297
Distinct characters14
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

Unique684 ?
Unique (%)35.8%

Sample

1st row5.31.E03
2nd row4.27.E03
3rd row3.89.E03
4th row3.92.E03
5th row4.33.E03
ValueCountFrequency (%)
1.01.e03 13
 
0.7%
3.63.e03 9
 
0.5%
2.98.e03 9
 
0.5%
3.18.e03 8
 
0.4%
2.61.e03 8
 
0.4%
5.80.e03 7
 
0.4%
2.79.e03 7
 
0.4%
3.36.e03 6
 
0.3%
2.88.e04 6
 
0.3%
3.10.e03 6
 
0.3%
Other values (1098) 1830
95.9%
2023-12-13T07:48:02.410225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.9%
0 2325
15.2%
3 1999
13.1%
E 1909
12.5%
4 922
 
6.0%
2 891
 
5.8%
1 853
 
5.6%
5 736
 
4.8%
6 488
 
3.2%
8 459
 
3.0%
Other values (4) 901
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
62.4%
Other Punctuation 3814
 
24.9%
Uppercase Letter 1909
 
12.5%
Math Symbol 25
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2325
24.4%
3 1999
20.9%
4 922
 
9.7%
2 891
 
9.3%
1 853
 
8.9%
5 736
 
7.7%
6 488
 
5.1%
8 459
 
4.8%
7 455
 
4.8%
9 417
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13388
87.5%
Latin 1909
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.5%
0 2325
17.4%
3 1999
14.9%
4 922
 
6.9%
2 891
 
6.7%
1 853
 
6.4%
5 736
 
5.5%
6 488
 
3.6%
8 459
 
3.4%
7 455
 
3.4%
Other values (3) 446
 
3.3%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.9%
0 2325
15.2%
3 1999
13.1%
E 1909
12.5%
4 922
 
6.0%
2 891
 
5.8%
1 853
 
5.6%
5 736
 
4.8%
6 488
 
3.2%
8 459
 
3.0%
Other values (4) 901
 
5.9%

산성비-사용
Text

MISSING 

Distinct49
Distinct (%)62.0%
Missing1868
Missing (%)95.9%
Memory size15.3 KiB
2023-12-13T07:48:02.691138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.6962025
Min length8

Characters and Unicode

Total characters687
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)50.6%

Sample

1st row8.25.E03
2nd row2.60.E+03
3rd row3.31.E+04
4th row1.23.E02
5th row1.95.E03
ValueCountFrequency (%)
1.08.e+02 5
 
6.3%
4.70.e+01 5
 
6.3%
1.59.e01 5
 
6.3%
5.47.e+01 5
 
6.3%
8.23.e+01 5
 
6.3%
9.78.e+01 5
 
6.3%
4.31.e+01 5
 
6.3%
1.39.e+00 2
 
2.5%
9.61.e01 2
 
2.5%
1.69.e+02 1
 
1.3%
Other values (39) 39
49.4%
2023-12-13T07:48:03.110468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 158
23.0%
0 105
15.3%
1 92
13.4%
E 79
11.5%
+ 55
 
8.0%
2 31
 
4.5%
8 28
 
4.1%
7 28
 
4.1%
3 28
 
4.1%
4 24
 
3.5%
Other values (3) 59
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 395
57.5%
Other Punctuation 158
 
23.0%
Uppercase Letter 79
 
11.5%
Math Symbol 55
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
26.6%
1 92
23.3%
2 31
 
7.8%
8 28
 
7.1%
7 28
 
7.1%
3 28
 
7.1%
4 24
 
6.1%
9 23
 
5.8%
5 20
 
5.1%
6 16
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 158
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 79
100.0%
Math Symbol
ValueCountFrequency (%)
+ 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 608
88.5%
Latin 79
 
11.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 158
26.0%
0 105
17.3%
1 92
15.1%
+ 55
 
9.0%
2 31
 
5.1%
8 28
 
4.6%
7 28
 
4.6%
3 28
 
4.6%
4 24
 
3.9%
9 23
 
3.8%
Other values (2) 36
 
5.9%
Latin
ValueCountFrequency (%)
E 79
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 687
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 158
23.0%
0 105
15.3%
1 92
13.4%
E 79
11.5%
+ 55
 
8.0%
2 31
 
4.5%
8 28
 
4.1%
7 28
 
4.1%
3 28
 
4.1%
4 24
 
3.5%
Other values (3) 59
 
8.6%

산성비-폐기
Text

MISSING 

Distinct212
Distinct (%)73.4%
Missing1658
Missing (%)85.2%
Memory size15.3 KiB
2023-12-13T07:48:03.508940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0034602
Min length8

Characters and Unicode

Total characters2313
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)58.5%

Sample

1st row1.28.E05
2nd row1.28.E05
3rd row9.13.E05
4th row1.15.E04
5th row9.05.E05
ValueCountFrequency (%)
2.96.e02 7
 
2.4%
1.25.e04 6
 
2.1%
1.21.e05 5
 
1.7%
2.71.e02 5
 
1.7%
3.90.e03 5
 
1.7%
2.79.e02 5
 
1.7%
2.72.e02 5
 
1.7%
3.72.e05 3
 
1.0%
7.86.e05 3
 
1.0%
1.85.e03 3
 
1.0%
Other values (202) 242
83.7%
2023-12-13T07:48:04.000780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 578
25.0%
0 349
15.1%
E 289
12.5%
2 196
 
8.5%
5 163
 
7.0%
1 162
 
7.0%
4 137
 
5.9%
3 111
 
4.8%
6 98
 
4.2%
7 88
 
3.8%
Other values (3) 142
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1445
62.5%
Other Punctuation 578
 
25.0%
Uppercase Letter 289
 
12.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 349
24.2%
2 196
13.6%
5 163
11.3%
1 162
11.2%
4 137
 
9.5%
3 111
 
7.7%
6 98
 
6.8%
7 88
 
6.1%
9 75
 
5.2%
8 66
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 578
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 289
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2024
87.5%
Latin 289
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 578
28.6%
0 349
17.2%
2 196
 
9.7%
5 163
 
8.1%
1 162
 
8.0%
4 137
 
6.8%
3 111
 
5.5%
6 98
 
4.8%
7 88
 
4.3%
9 75
 
3.7%
Other values (2) 67
 
3.3%
Latin
ValueCountFrequency (%)
E 289
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 578
25.0%
0 349
15.1%
E 289
12.5%
2 196
 
8.5%
5 163
 
7.0%
1 162
 
7.0%
4 137
 
5.9%
3 111
 
4.8%
6 98
 
4.2%
7 88
 
3.8%
Other values (3) 142
 
6.1%

부영양화-총량
Text

MISSING 

Distinct1110
Distinct (%)58.1%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:04.353240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0476689
Min length8

Characters and Unicode

Total characters15363
Distinct characters14
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

Unique705 ?
Unique (%)36.9%

Sample

1st row3.68.E02
2nd row3.79.E02
3rd row3.27.E02
4th row3.90.E02
5th row4.23.E02
ValueCountFrequency (%)
2.82.e04 11
 
0.6%
5.04.e02 8
 
0.4%
6.27.e02 8
 
0.4%
5.88.e02 8
 
0.4%
6.01.e02 8
 
0.4%
5.31.e02 8
 
0.4%
5.62.e02 7
 
0.4%
5.85.e02 7
 
0.4%
1.19.e03 7
 
0.4%
6.43.e02 6
 
0.3%
Other values (1100) 1831
95.9%
2023-12-13T07:48:04.774662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.8%
0 2379
15.5%
E 1909
12.4%
2 1684
11.0%
3 990
 
6.4%
4 933
 
6.1%
1 820
 
5.3%
5 786
 
5.1%
6 700
 
4.6%
7 455
 
3.0%
Other values (4) 893
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
62.1%
Other Punctuation 3814
 
24.8%
Uppercase Letter 1909
 
12.4%
Math Symbol 91
 
0.6%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2379
24.9%
2 1684
17.6%
3 990
10.4%
4 933
 
9.8%
1 820
 
8.6%
5 786
 
8.2%
6 700
 
7.3%
7 455
 
4.8%
8 407
 
4.3%
9 391
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13454
87.6%
Latin 1909
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.3%
0 2379
17.7%
2 1684
12.5%
3 990
 
7.4%
4 933
 
6.9%
1 820
 
6.1%
5 786
 
5.8%
6 700
 
5.2%
7 455
 
3.4%
8 407
 
3.0%
Other values (3) 486
 
3.6%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.8%
0 2379
15.5%
E 1909
12.4%
2 1684
11.0%
3 990
 
6.4%
4 933
 
6.1%
1 820
 
5.3%
5 786
 
5.1%
6 700
 
4.6%
7 455
 
3.0%
Other values (4) 893
 
5.8%

부영양화-단위
Categorical

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
kgPO43e/m3
935 
kgPO43e/개
346 
kgPO43e/kg
161 
kgPO43e/m2
139 
kgPO43e/㎥
 
77
Other values (29)
289 

Length

Max length13
Median length10
Mean length9.6137648
Min length4

Unique

Unique9 ?
Unique (%)0.5%

Sample

1st rowkgPO43e/m3
2nd rowkgPO43e/m3
3rd rowkgPO43e/m3
4th rowkgPO43e/m3
5th rowkgPO43e/m3

Common Values

ValueCountFrequency (%)
kgPO43e/m3 935
48.0%
kgPO43e/개 346
 
17.8%
kgPO43e/kg 161
 
8.3%
kgPO43e/m2 139
 
7.1%
kgPO43e/㎥ 77
 
4.0%
kgPO43e/대 68
 
3.5%
<NA> 38
 
2.0%
kgPO43e/ton 37
 
1.9%
kgPO₄³/m³ 27
 
1.4%
kgPO43e/GJ 19
 
1.0%
Other values (24) 100
 
5.1%

Length

2023-12-13T07:48:04.908895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kgpo43e/m3 935
48.0%
kgpo43e/개 346
 
17.8%
kgpo43e/kg 161
 
8.3%
kgpo43e/m2 139
 
7.1%
kgpo43e/㎥ 77
 
4.0%
kgpo43e/대 68
 
3.5%
na 38
 
2.0%
kgpo43e/ton 37
 
1.9%
kgpo₄³/m³ 27
 
1.4%
kgpo43e/gj 19
 
1.0%
Other values (24) 100
 
5.1%

부영양화-제조전
Text

MISSING 

Distinct1094
Distinct (%)57.3%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:05.173260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0235726
Min length8

Characters and Unicode

Total characters15317
Distinct characters14
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

Unique667 ?
Unique (%)34.9%

Sample

1st row3.61.E02
2nd row3.73.E02
3rd row3.21.E02
4th row3.84.E02
5th row4.17.E02
ValueCountFrequency (%)
1.09.e04 11
 
0.6%
5.54.e02 11
 
0.6%
5.77.e02 9
 
0.5%
6.35.e02 8
 
0.4%
5.74.e02 7
 
0.4%
6.27.e02 7
 
0.4%
3.27.e04 7
 
0.4%
6.90.e02 7
 
0.4%
6.38.e02 7
 
0.4%
1.13.e03 6
 
0.3%
Other values (1084) 1829
95.8%
2023-12-13T07:48:05.584878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.9%
0 2354
15.4%
E 1909
12.5%
2 1659
10.8%
3 981
 
6.4%
4 879
 
5.7%
5 836
 
5.5%
1 818
 
5.3%
6 657
 
4.3%
7 509
 
3.3%
Other values (4) 901
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
62.3%
Other Punctuation 3814
 
24.9%
Uppercase Letter 1909
 
12.5%
Math Symbol 45
 
0.3%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2354
24.7%
2 1659
17.4%
3 981
10.3%
4 879
 
9.2%
5 836
 
8.8%
1 818
 
8.6%
6 657
 
6.9%
7 509
 
5.3%
8 430
 
4.5%
9 422
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13408
87.5%
Latin 1909
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.4%
0 2354
17.6%
2 1659
12.4%
3 981
 
7.3%
4 879
 
6.6%
5 836
 
6.2%
1 818
 
6.1%
6 657
 
4.9%
7 509
 
3.8%
8 430
 
3.2%
Other values (3) 471
 
3.5%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.9%
0 2354
15.4%
E 1909
12.5%
2 1659
10.8%
3 981
 
6.4%
4 879
 
5.7%
5 836
 
5.5%
1 818
 
5.3%
6 657
 
4.3%
7 509
 
3.3%
Other values (4) 901
 
5.9%

부영양화-제조
Text

MISSING 

Distinct1123
Distinct (%)58.8%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:05.901297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0052383
Min length8

Characters and Unicode

Total characters15282
Distinct characters14
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

Unique672 ?
Unique (%)35.2%

Sample

1st row7.46.E04
2nd row5.94.E04
3rd row5.40.E04
4th row5.44.E04
5th row6.04.E04
ValueCountFrequency (%)
1.73.e04 11
 
0.6%
1.04.e03 8
 
0.4%
3.99.e04 8
 
0.4%
1.22.e03 7
 
0.4%
5.92.e04 7
 
0.4%
8.12.e04 7
 
0.4%
1.41.e04 7
 
0.4%
4.32.e04 6
 
0.3%
1.02.e03 6
 
0.3%
6.55.e05 6
 
0.3%
Other values (1113) 1836
96.2%
2023-12-13T07:48:06.311708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
25.0%
0 2310
15.1%
E 1909
12.5%
4 1853
12.1%
5 884
 
5.8%
1 823
 
5.4%
3 804
 
5.3%
6 675
 
4.4%
2 647
 
4.2%
7 577
 
3.8%
Other values (4) 986
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
62.5%
Other Punctuation 3814
 
25.0%
Uppercase Letter 1909
 
12.5%
Math Symbol 10
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2310
24.2%
4 1853
19.4%
5 884
 
9.3%
1 823
 
8.6%
3 804
 
8.4%
6 675
 
7.1%
2 647
 
6.8%
7 577
 
6.0%
8 497
 
5.2%
9 475
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13373
87.5%
Latin 1909
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.5%
0 2310
17.3%
4 1853
13.9%
5 884
 
6.6%
1 823
 
6.2%
3 804
 
6.0%
6 675
 
5.0%
2 647
 
4.8%
7 577
 
4.3%
8 497
 
3.7%
Other values (3) 489
 
3.7%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
25.0%
0 2310
15.1%
E 1909
12.5%
4 1853
12.1%
5 884
 
5.8%
1 823
 
5.4%
3 804
 
5.3%
6 675
 
4.4%
2 647
 
4.2%
7 577
 
3.8%
Other values (4) 986
 
6.5%

부영양화-사용
Text

MISSING 

Distinct47
Distinct (%)59.5%
Missing1868
Missing (%)95.9%
Memory size15.3 KiB
2023-12-13T07:48:06.523757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.5949367
Min length8

Characters and Unicode

Total characters679
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)48.1%

Sample

1st row1.54.E03
2nd row4.83.E+02
3rd row6.16.E+03
4th row2.29.E03
5th row3.19.E04
ValueCountFrequency (%)
1.23.e+01 6
 
7.6%
2.95.e02 5
 
6.3%
5.54.e+00 5
 
6.3%
6.24.e+00 5
 
6.3%
1.05.e+01 5
 
6.3%
1.37.e+01 5
 
6.3%
5.36.e+00 5
 
6.3%
1.79.e01 3
 
3.8%
2.58.e01 2
 
2.5%
2.62.e+01 1
 
1.3%
Other values (37) 37
46.8%
2023-12-13T07:48:06.818509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 158
23.3%
0 106
15.6%
1 84
12.4%
E 79
11.6%
+ 47
 
6.9%
2 42
 
6.2%
5 39
 
5.7%
3 29
 
4.3%
4 24
 
3.5%
9 22
 
3.2%
Other values (3) 49
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 395
58.2%
Other Punctuation 158
 
23.3%
Uppercase Letter 79
 
11.6%
Math Symbol 47
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
26.8%
1 84
21.3%
2 42
 
10.6%
5 39
 
9.9%
3 29
 
7.3%
4 24
 
6.1%
9 22
 
5.6%
6 18
 
4.6%
7 16
 
4.1%
8 15
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 158
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 79
100.0%
Math Symbol
ValueCountFrequency (%)
+ 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
88.4%
Latin 79
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 158
26.3%
0 106
17.7%
1 84
14.0%
+ 47
 
7.8%
2 42
 
7.0%
5 39
 
6.5%
3 29
 
4.8%
4 24
 
4.0%
9 22
 
3.7%
6 18
 
3.0%
Other values (2) 31
 
5.2%
Latin
ValueCountFrequency (%)
E 79
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 679
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 158
23.3%
0 106
15.6%
1 84
12.4%
E 79
11.6%
+ 47
 
6.9%
2 42
 
6.2%
5 39
 
5.7%
3 29
 
4.3%
4 24
 
3.5%
9 22
 
3.2%
Other values (3) 49
 
7.2%

부영양화-폐기
Text

MISSING 

Distinct214
Distinct (%)74.0%
Missing1658
Missing (%)85.2%
Memory size15.3 KiB
2023-12-13T07:48:07.096953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0034602
Min length8

Characters and Unicode

Total characters2313
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)56.7%

Sample

1st row3.55.E05
2nd row3.55.E05
3rd row3.53.E05
4th row4.69.E05
5th row2.04.E05
ValueCountFrequency (%)
6.73.e05 6
 
2.1%
1.14.e03 5
 
1.7%
1.42.e04 4
 
1.4%
9.78.e03 4
 
1.4%
4.03.e05 4
 
1.4%
8.95.e03 3
 
1.0%
4.27.e04 3
 
1.0%
1.04.e02 3
 
1.0%
1.21.e02 3
 
1.0%
2.40.e05 3
 
1.0%
Other values (204) 251
86.9%
2023-12-13T07:48:07.499401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 578
25.0%
0 360
15.6%
E 289
12.5%
5 230
 
9.9%
4 154
 
6.7%
3 145
 
6.3%
1 143
 
6.2%
2 113
 
4.9%
9 95
 
4.1%
6 81
 
3.5%
Other values (3) 125
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1445
62.5%
Other Punctuation 578
 
25.0%
Uppercase Letter 289
 
12.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 360
24.9%
5 230
15.9%
4 154
10.7%
3 145
10.0%
1 143
 
9.9%
2 113
 
7.8%
9 95
 
6.6%
6 81
 
5.6%
7 75
 
5.2%
8 49
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 578
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 289
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2024
87.5%
Latin 289
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 578
28.6%
0 360
17.8%
5 230
 
11.4%
4 154
 
7.6%
3 145
 
7.2%
1 143
 
7.1%
2 113
 
5.6%
9 95
 
4.7%
6 81
 
4.0%
7 75
 
3.7%
Other values (2) 50
 
2.5%
Latin
ValueCountFrequency (%)
E 289
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 578
25.0%
0 360
15.6%
E 289
12.5%
5 230
 
9.9%
4 154
 
6.7%
3 145
 
6.3%
1 143
 
6.2%
2 113
 
4.9%
9 95
 
4.1%
6 81
 
3.5%
Other values (3) 125
 
5.4%

광화학 스모그-총량
Text

MISSING 

Distinct1159
Distinct (%)60.8%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:48:07.795165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0372313
Min length8

Characters and Unicode

Total characters15327
Distinct characters14
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

Unique742 ?
Unique (%)38.9%

Sample

1st row1.73.E01
2nd row1.80.E01
3rd row1.55.E01
4th row1.86.E01
5th row2.05.E01
ValueCountFrequency (%)
1.39.e04 11
 
0.6%
5.81.e02 8
 
0.4%
6.31.e02 7
 
0.4%
1.23.e03 7
 
0.4%
1.95.e01 7
 
0.4%
1.17.e03 6
 
0.3%
5.15.e02 6
 
0.3%
1.80.e01 6
 
0.3%
7.26.e02 6
 
0.3%
1.04.e03 6
 
0.3%
Other values (1149) 1837
96.3%
2023-12-13T07:48:08.196047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
24.9%
0 2299
15.0%
E 1907
12.4%
2 1619
10.6%
1 1230
 
8.0%
3 896
 
5.8%
4 729
 
4.8%
5 710
 
4.6%
6 571
 
3.7%
7 534
 
3.5%
Other values (4) 1022
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
62.2%
Other Punctuation 3810
 
24.9%
Uppercase Letter 1907
 
12.4%
Math Symbol 71
 
0.5%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2299
24.1%
2 1619
17.0%
1 1230
12.9%
3 896
 
9.4%
4 729
 
7.6%
5 710
 
7.4%
6 571
 
6.0%
7 534
 
5.6%
8 500
 
5.2%
9 447
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Math Symbol
ValueCountFrequency (%)
+ 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13420
87.6%
Latin 1907
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.4%
0 2299
17.1%
2 1619
12.1%
1 1230
 
9.2%
3 896
 
6.7%
4 729
 
5.4%
5 710
 
5.3%
6 571
 
4.3%
7 534
 
4.0%
8 500
 
3.7%
Other values (3) 522
 
3.9%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
24.9%
0 2299
15.0%
E 1907
12.4%
2 1619
10.6%
1 1230
 
8.0%
3 896
 
5.8%
4 729
 
4.8%
5 710
 
4.6%
6 571
 
3.7%
7 534
 
3.5%
Other values (4) 1022
 
6.7%

광화학 스모그-단위
Categorical

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
kgC2H4e/m3
935 
kgC2H4e/개
344 
kgC2H4e/kg
161 
kgC2H4e/m2
139 
kgC2H4e/㎥
 
77
Other values (30)
291 

Length

Max length13
Median length10
Mean length9.608115
Min length4

Unique

Unique10 ?
Unique (%)0.5%

Sample

1st rowkgC2H4e/m3
2nd rowkgC2H4e/m3
3rd rowkgC2H4e/m3
4th rowkgC2H4e/m3
5th rowkgC2H4e/m3

Common Values

ValueCountFrequency (%)
kgC2H4e/m3 935
48.0%
kgC2H4e/개 344
 
17.7%
kgC2H4e/kg 161
 
8.3%
kgC2H4e/m2 139
 
7.1%
kgC2H4e/㎥ 77
 
4.0%
kgC2H4e/대 68
 
3.5%
<NA> 40
 
2.1%
kgC2H4e/ton 36
 
1.8%
kgC₂H₄/m³ 27
 
1.4%
kgC2H4e/GJ 19
 
1.0%
Other values (25) 101
 
5.2%

Length

2023-12-13T07:48:08.320046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kgc2h4e/m3 935
48.0%
kgc2h4e/개 344
 
17.7%
kgc2h4e/kg 161
 
8.3%
kgc2h4e/m2 139
 
7.1%
kgc2h4e/㎥ 77
 
4.0%
kgc2h4e/대 68
 
3.5%
na 40
 
2.1%
kgc2h4e/ton 36
 
1.8%
kgc₂h₄/m³ 27
 
1.4%
kgc2h4e/gj 19
 
1.0%
Other values (25) 101
 
5.2%

광화학 스모그-제조전
Text

MISSING 

Distinct1140
Distinct (%)59.8%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:48:08.658551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0073414
Min length8

Characters and Unicode

Total characters15270
Distinct characters14
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

Unique708 ?
Unique (%)37.1%

Sample

1st row1.73.E01
2nd row1.80.E01
3rd row1.55.E01
4th row1.86.E01
5th row2.05.E01
ValueCountFrequency (%)
1.96.e01 12
 
0.6%
6.93.e05 11
 
0.6%
2.00.e01 10
 
0.5%
1.94.e01 9
 
0.5%
2.20.e01 7
 
0.4%
1.95.e01 7
 
0.4%
7.67.e02 7
 
0.4%
1.22.e03 6
 
0.3%
1.80.e01 6
 
0.3%
5.11.e02 6
 
0.3%
Other values (1130) 1826
95.8%
2023-12-13T07:48:09.115634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
25.0%
0 2310
15.1%
E 1907
12.5%
2 1630
10.7%
1 1220
 
8.0%
3 876
 
5.7%
4 752
 
4.9%
5 721
 
4.7%
6 601
 
3.9%
7 569
 
3.7%
Other values (4) 874
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
62.4%
Other Punctuation 3810
 
25.0%
Uppercase Letter 1907
 
12.5%
Math Symbol 14
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2310
24.2%
2 1630
17.1%
1 1220
12.8%
3 876
 
9.2%
4 752
 
7.9%
5 721
 
7.6%
6 601
 
6.3%
7 569
 
6.0%
8 451
 
4.7%
9 405
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13363
87.5%
Latin 1907
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.5%
0 2310
17.3%
2 1630
12.2%
1 1220
 
9.1%
3 876
 
6.6%
4 752
 
5.6%
5 721
 
5.4%
6 601
 
4.5%
7 569
 
4.3%
8 451
 
3.4%
Other values (3) 423
 
3.2%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
25.0%
0 2310
15.1%
E 1907
12.5%
2 1630
10.7%
1 1220
 
8.0%
3 876
 
5.7%
4 752
 
4.9%
5 721
 
4.7%
6 601
 
3.9%
7 569
 
3.7%
Other values (4) 874
 
5.7%

광화학 스모그-제조
Text

MISSING 

Distinct1223
Distinct (%)64.1%
Missing40
Missing (%)2.1%
Memory size15.3 KiB
2023-12-13T07:48:09.438241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.006817
Min length8

Characters and Unicode

Total characters15269
Distinct characters14
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

Unique852 ?
Unique (%)44.7%

Sample

1st row1.36.E04
2nd row1.28.E04
3rd row1.12.E04
4th row1.13.E04
5th row1.28.E04
ValueCountFrequency (%)
1.92.e04 12
 
0.6%
1.04.e04 12
 
0.6%
6.97.e05 11
 
0.6%
1.39.e04 9
 
0.5%
2.11.e04 9
 
0.5%
1.42.e04 9
 
0.5%
1.28.e04 9
 
0.5%
1.01.e04 8
 
0.4%
1.05.e04 8
 
0.4%
1.13.e04 7
 
0.4%
Other values (1213) 1813
95.1%
2023-12-13T07:48:09.851589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3810
25.0%
0 2313
15.1%
E 1907
12.5%
5 1275
 
8.4%
4 1170
 
7.7%
1 990
 
6.5%
3 865
 
5.7%
2 815
 
5.3%
6 664
 
4.3%
7 498
 
3.3%
Other values (4) 962
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9535
62.4%
Other Punctuation 3810
 
25.0%
Uppercase Letter 1907
 
12.5%
Math Symbol 13
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2313
24.3%
5 1275
13.4%
4 1170
12.3%
1 990
10.4%
3 865
 
9.1%
2 815
 
8.5%
6 664
 
7.0%
7 498
 
5.2%
9 484
 
5.1%
8 461
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 3810
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1907
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13362
87.5%
Latin 1907
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3810
28.5%
0 2313
17.3%
5 1275
 
9.5%
4 1170
 
8.8%
1 990
 
7.4%
3 865
 
6.5%
2 815
 
6.1%
6 664
 
5.0%
7 498
 
3.7%
9 484
 
3.6%
Other values (3) 478
 
3.6%
Latin
ValueCountFrequency (%)
E 1907
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3810
25.0%
0 2313
15.1%
E 1907
12.5%
5 1275
 
8.4%
4 1170
 
7.7%
1 990
 
6.5%
3 865
 
5.7%
2 815
 
5.3%
6 664
 
4.3%
7 498
 
3.3%
Other values (4) 962
 
6.3%

광화학 스모그-사용
Text

MISSING 

Distinct48
Distinct (%)60.8%
Missing1868
Missing (%)95.9%
Memory size15.3 KiB
2023-12-13T07:48:10.071611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.5949367
Min length8

Characters and Unicode

Total characters679
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)48.1%

Sample

1st row3.48.E05
2nd row1.11.E+01
3rd row1.64.E+02
4th row5.19.E05
5th row5.15.E05
ValueCountFrequency (%)
6.69.e04 5
 
6.3%
2.31.e+01 5
 
6.3%
2.83.e+01 5
 
6.3%
3.45.e+01 5
 
6.3%
3.78.e+01 5
 
6.3%
1.57.e+01 5
 
6.3%
1.88.e+01 5
 
6.3%
5.85.e03 2
 
2.5%
2.67.e+01 2
 
2.5%
4.36.e03 2
 
2.5%
Other values (38) 38
48.1%
2023-12-13T07:48:10.375586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 158
23.3%
0 90
13.3%
1 81
11.9%
E 79
11.6%
3 51
 
7.5%
+ 47
 
6.9%
2 34
 
5.0%
5 32
 
4.7%
4 28
 
4.1%
8 27
 
4.0%
Other values (3) 52
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 395
58.2%
Other Punctuation 158
 
23.3%
Uppercase Letter 79
 
11.6%
Math Symbol 47
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
22.8%
1 81
20.5%
3 51
12.9%
2 34
 
8.6%
5 32
 
8.1%
4 28
 
7.1%
8 27
 
6.8%
6 26
 
6.6%
7 17
 
4.3%
9 9
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 158
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 79
100.0%
Math Symbol
ValueCountFrequency (%)
+ 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
88.4%
Latin 79
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 158
26.3%
0 90
15.0%
1 81
13.5%
3 51
 
8.5%
+ 47
 
7.8%
2 34
 
5.7%
5 32
 
5.3%
4 28
 
4.7%
8 27
 
4.5%
6 26
 
4.3%
Other values (2) 26
 
4.3%
Latin
ValueCountFrequency (%)
E 79
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 679
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 158
23.3%
0 90
13.3%
1 81
11.9%
E 79
11.6%
3 51
 
7.5%
+ 47
 
6.9%
2 34
 
5.0%
5 32
 
4.7%
4 28
 
4.1%
8 27
 
4.0%
Other values (3) 52
 
7.7%

광화학 스모그-폐기
Text

MISSING 

Distinct211
Distinct (%)73.0%
Missing1658
Missing (%)85.2%
Memory size15.3 KiB
2023-12-13T07:48:10.681023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters2312
Distinct characters12
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

Unique166 ?
Unique (%)57.4%

Sample

1st row3.78.E06
2nd row3.78.E06
3rd row8.23.E06
4th row9.89.E06
5th row7.32.E06
ValueCountFrequency (%)
1.48.e05 7
 
2.4%
4.60.e03 7
 
2.4%
5.52.e04 5
 
1.7%
4.22.e03 5
 
1.7%
4.35.e03 5
 
1.7%
2.56.e05 4
 
1.4%
3.82.e06 3
 
1.0%
3.78.e06 3
 
1.0%
4.55.e03 3
 
1.0%
2.37.e03 3
 
1.0%
Other values (201) 244
84.4%
2023-12-13T07:48:11.106566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 578
25.0%
0 339
14.7%
E 289
12.5%
5 192
 
8.3%
6 169
 
7.3%
3 151
 
6.5%
1 138
 
6.0%
2 131
 
5.7%
4 122
 
5.3%
8 85
 
3.7%
Other values (2) 118
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1445
62.5%
Other Punctuation 578
 
25.0%
Uppercase Letter 289
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 339
23.5%
5 192
13.3%
6 169
11.7%
3 151
10.4%
1 138
9.6%
2 131
 
9.1%
4 122
 
8.4%
8 85
 
5.9%
7 69
 
4.8%
9 49
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 578
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 289
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2023
87.5%
Latin 289
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 578
28.6%
0 339
16.8%
5 192
 
9.5%
6 169
 
8.4%
3 151
 
7.5%
1 138
 
6.8%
2 131
 
6.5%
4 122
 
6.0%
8 85
 
4.2%
7 69
 
3.4%
Latin
ValueCountFrequency (%)
E 289
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 578
25.0%
0 339
14.7%
E 289
12.5%
5 192
 
8.3%
6 169
 
7.3%
3 151
 
6.5%
1 138
 
6.0%
2 131
 
5.7%
4 122
 
5.3%
8 85
 
3.7%
Other values (2) 118
 
5.1%

물발자국-총량
Text

MISSING 

Distinct1102
Distinct (%)57.7%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:11.398870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1089576
Min length8

Characters and Unicode

Total characters15480
Distinct characters14
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

Unique686 ?
Unique (%)35.9%

Sample

1st row7.87.E01
2nd row7.29.E01
3rd row6.95.E01
4th row7.57.E01
5th row8.12.E01
ValueCountFrequency (%)
5.94.e03 11
 
0.6%
4.89.e01 9
 
0.5%
5.39.e01 8
 
0.4%
4.61.e01 8
 
0.4%
5.03.e01 8
 
0.4%
5.02.e01 7
 
0.4%
5.46.e01 7
 
0.4%
5.05.e01 7
 
0.4%
2.58.e04 7
 
0.4%
4.77.e01 7
 
0.4%
Other values (1092) 1830
95.9%
2023-12-13T07:48:11.885590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.6%
0 2421
15.6%
1 1952
12.6%
E 1909
12.3%
2 991
 
6.4%
5 813
 
5.3%
4 751
 
4.9%
3 683
 
4.4%
6 554
 
3.6%
7 507
 
3.3%
Other values (4) 1085
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
61.7%
Other Punctuation 3814
 
24.6%
Uppercase Letter 1909
 
12.3%
Math Symbol 208
 
1.3%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2421
25.4%
1 1952
20.5%
2 991
10.4%
5 813
 
8.5%
4 751
 
7.9%
3 683
 
7.2%
6 554
 
5.8%
7 507
 
5.3%
8 451
 
4.7%
9 422
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13571
87.7%
Latin 1909
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.1%
0 2421
17.8%
1 1952
14.4%
2 991
 
7.3%
5 813
 
6.0%
4 751
 
5.5%
3 683
 
5.0%
6 554
 
4.1%
7 507
 
3.7%
8 451
 
3.3%
Other values (3) 634
 
4.7%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.6%
0 2421
15.6%
1 1952
12.6%
E 1909
12.3%
2 991
 
6.4%
5 813
 
5.3%
4 751
 
4.9%
3 683
 
4.4%
6 554
 
3.6%
7 507
 
3.3%
Other values (4) 1085
 
7.0%

물발자국-단위
Categorical

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
m3H2Oe/m3
931 
m3H2Oe/개
346 
m3H2Oe/kg
161 
m3H2Oe/m2
139 
m3H2Oe/㎥
 
77
Other values (30)
293 

Length

Max length12
Median length9
Mean length8.6276323
Min length3

Unique

Unique10 ?
Unique (%)0.5%

Sample

1st rowm3H2Oe/m3
2nd rowm3H2Oe/m3
3rd rowm3H2Oe/m3
4th rowm3H2Oe/m3
5th rowm3H2Oe/m3

Common Values

ValueCountFrequency (%)
m3H2Oe/m3 931
47.8%
m3H2Oe/개 346
 
17.8%
m3H2Oe/kg 161
 
8.3%
m3H2Oe/m2 139
 
7.1%
m3H2Oe/㎥ 77
 
4.0%
m3H2Oe/대 68
 
3.5%
<NA> 38
 
2.0%
m3H2Oe/ton 36
 
1.8%
m³H₂O/m³ 31
 
1.6%
m3H2Oe/GJ 19
 
1.0%
Other values (25) 101
 
5.2%

Length

2023-12-13T07:48:12.029736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
m3h2oe/m3 931
47.8%
m3h2oe/개 346
 
17.8%
m3h2oe/kg 161
 
8.3%
m3h2oe/m2 139
 
7.1%
m3h2oe/㎥ 77
 
4.0%
m3h2oe/대 68
 
3.5%
na 38
 
2.0%
m3h2oe/ton 36
 
1.8%
m³h₂o/m³ 31
 
1.6%
m3h2oe/gj 19
 
1.0%
Other values (25) 101
 
5.2%

물발자국-제조전
Text

MISSING 

Distinct1076
Distinct (%)56.4%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:12.397614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0817182
Min length8

Characters and Unicode

Total characters15428
Distinct characters14
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

Unique682 ?
Unique (%)35.7%

Sample

1st row6.00.E01
2nd row5.44.E01
3rd row4.76.E01
4th row5.59.E01
5th row6.01.E01
ValueCountFrequency (%)
3.34.e04 11
 
0.6%
3.98.e01 10
 
0.5%
3.79.e01 9
 
0.5%
3.97.e01 9
 
0.5%
4.29.e01 9
 
0.5%
3.91.e01 8
 
0.4%
4.46.e01 8
 
0.4%
4.09.e01 8
 
0.4%
4.00.e01 8
 
0.4%
3.75.e01 8
 
0.4%
Other values (1066) 1821
95.4%
2023-12-13T07:48:12.941244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.7%
0 2437
15.8%
E 1909
12.4%
1 1841
11.9%
3 983
 
6.4%
4 913
 
5.9%
2 891
 
5.8%
5 629
 
4.1%
6 496
 
3.2%
7 489
 
3.2%
Other values (4) 1026
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
61.9%
Other Punctuation 3814
 
24.7%
Uppercase Letter 1909
 
12.4%
Math Symbol 156
 
1.0%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2437
25.5%
1 1841
19.3%
3 983
10.3%
4 913
 
9.6%
2 891
 
9.3%
5 629
 
6.6%
6 496
 
5.2%
7 489
 
5.1%
8 438
 
4.6%
9 428
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13519
87.6%
Latin 1909
 
12.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.2%
0 2437
18.0%
1 1841
13.6%
3 983
 
7.3%
4 913
 
6.8%
2 891
 
6.6%
5 629
 
4.7%
6 496
 
3.7%
7 489
 
3.6%
8 438
 
3.2%
Other values (3) 588
 
4.3%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.7%
0 2437
15.8%
E 1909
12.4%
1 1841
11.9%
3 983
 
6.4%
4 913
 
5.9%
2 891
 
5.8%
5 629
 
4.1%
6 496
 
3.2%
7 489
 
3.2%
Other values (4) 1026
 
6.7%

물발자국-제조
Text

MISSING 

Distinct1143
Distinct (%)59.9%
Missing38
Missing (%)2.0%
Memory size15.3 KiB
2023-12-13T07:48:13.323634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0261917
Min length8

Characters and Unicode

Total characters15322
Distinct characters14
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

Unique786 ?
Unique (%)41.2%

Sample

1st row1.87.E01
2nd row1.84.E01
3rd row2.19.E01
4th row1.98.E01
5th row2.11.E01
ValueCountFrequency (%)
1.16.e01 21
 
1.1%
1.04.e01 16
 
0.8%
1.13.e01 14
 
0.7%
1.07.e01 14
 
0.7%
1.10.e01 13
 
0.7%
1.11.e01 13
 
0.7%
1.08.e01 12
 
0.6%
5.61.e03 12
 
0.6%
1.06.e01 12
 
0.6%
1.14.e01 11
 
0.6%
Other values (1133) 1771
92.8%
2023-12-13T07:48:13.811128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3814
24.9%
0 2390
15.6%
E 1909
12.5%
1 1754
11.4%
2 1293
 
8.4%
3 877
 
5.7%
4 652
 
4.3%
5 541
 
3.5%
8 533
 
3.5%
6 525
 
3.4%
Other values (4) 1034
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9545
62.3%
Other Punctuation 3814
 
24.9%
Uppercase Letter 1909
 
12.5%
Math Symbol 50
 
0.3%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2390
25.0%
1 1754
18.4%
2 1293
13.5%
3 877
 
9.2%
4 652
 
6.8%
5 541
 
5.7%
8 533
 
5.6%
6 525
 
5.5%
7 494
 
5.2%
9 486
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 3814
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1909
100.0%
Math Symbol
ValueCountFrequency (%)
+ 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13413
87.5%
Latin 1909
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3814
28.4%
0 2390
17.8%
1 1754
13.1%
2 1293
 
9.6%
3 877
 
6.5%
4 652
 
4.9%
5 541
 
4.0%
8 533
 
4.0%
6 525
 
3.9%
7 494
 
3.7%
Other values (3) 540
 
4.0%
Latin
ValueCountFrequency (%)
E 1909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3814
24.9%
0 2390
15.6%
E 1909
12.5%
1 1754
11.4%
2 1293
 
8.4%
3 877
 
5.7%
4 652
 
4.3%
5 541
 
3.5%
8 533
 
3.5%
6 525
 
3.4%
Other values (4) 1034
 
6.7%

물발자국-사용
Text

MISSING 

Distinct46
Distinct (%)58.2%
Missing1868
Missing (%)95.9%
Memory size15.3 KiB
2023-12-13T07:48:14.057893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9493671
Min length8

Characters and Unicode

Total characters707
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)45.6%

Sample

1st row6.08.E02
2nd row1.91.E+04
3rd row2.44.E+05
4th row9.08.E02
5th row1.55.E+00
ValueCountFrequency (%)
2.07.e+01 6
 
7.6%
2.01.e+01 5
 
6.3%
1.73.e+01 5
 
6.3%
1.66.e+01 5
 
6.3%
1.57.e+01 5
 
6.3%
1.20.e+01 5
 
6.3%
1.17.e+00 5
 
6.3%
7.09.e+00 3
 
3.8%
1.02.e+01 2
 
2.5%
5.61.e+00 2
 
2.5%
Other values (36) 36
45.6%
2023-12-13T07:48:14.428805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 158
22.3%
0 133
18.8%
1 113
16.0%
E 79
11.2%
+ 75
10.6%
2 33
 
4.7%
7 33
 
4.7%
6 19
 
2.7%
5 19
 
2.7%
3 16
 
2.3%
Other values (3) 29
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 395
55.9%
Other Punctuation 158
 
22.3%
Uppercase Letter 79
 
11.2%
Math Symbol 75
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 133
33.7%
1 113
28.6%
2 33
 
8.4%
7 33
 
8.4%
6 19
 
4.8%
5 19
 
4.8%
3 16
 
4.1%
9 13
 
3.3%
4 9
 
2.3%
8 7
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 158
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 79
100.0%
Math Symbol
ValueCountFrequency (%)
+ 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 628
88.8%
Latin 79
 
11.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 158
25.2%
0 133
21.2%
1 113
18.0%
+ 75
11.9%
2 33
 
5.3%
7 33
 
5.3%
6 19
 
3.0%
5 19
 
3.0%
3 16
 
2.5%
9 13
 
2.1%
Other values (2) 16
 
2.5%
Latin
ValueCountFrequency (%)
E 79
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 158
22.3%
0 133
18.8%
1 113
16.0%
E 79
11.2%
+ 75
10.6%
2 33
 
4.7%
7 33
 
4.7%
6 19
 
2.7%
5 19
 
2.7%
3 16
 
2.3%
Other values (3) 29
 
4.1%

물발자국-폐기
Text

MISSING 

Distinct214
Distinct (%)74.0%
Missing1658
Missing (%)85.2%
Memory size15.3 KiB
2023-12-13T07:48:14.755021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0034602
Min length8

Characters and Unicode

Total characters2313
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)55.7%

Sample

1st row8.14.E06
2nd row8.14.E06
3rd row1.35.E05
4th row1.63.E05
5th row1.11.E05
ValueCountFrequency (%)
1.71.e05 7
 
2.4%
7.21.e04 5
 
1.7%
7.02.e03 4
 
1.4%
4.93.e05 3
 
1.0%
6.52.e03 3
 
1.0%
1.69.e04 3
 
1.0%
7.04.e03 3
 
1.0%
6.71.e03 3
 
1.0%
6.44.e03 3
 
1.0%
1.19.e05 3
 
1.0%
Other values (204) 252
87.2%
2023-12-13T07:48:15.217519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 578
25.0%
0 346
15.0%
E 289
12.5%
6 198
 
8.6%
5 177
 
7.7%
1 145
 
6.3%
3 136
 
5.9%
2 125
 
5.4%
4 109
 
4.7%
7 94
 
4.1%
Other values (3) 116
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1445
62.5%
Other Punctuation 578
 
25.0%
Uppercase Letter 289
 
12.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 346
23.9%
6 198
13.7%
5 177
12.2%
1 145
10.0%
3 136
 
9.4%
2 125
 
8.7%
4 109
 
7.5%
7 94
 
6.5%
9 62
 
4.3%
8 53
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 578
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 289
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2024
87.5%
Latin 289
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 578
28.6%
0 346
17.1%
6 198
 
9.8%
5 177
 
8.7%
1 145
 
7.2%
3 136
 
6.7%
2 125
 
6.2%
4 109
 
5.4%
7 94
 
4.6%
9 62
 
3.1%
Other values (2) 54
 
2.7%
Latin
ValueCountFrequency (%)
E 289
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 578
25.0%
0 346
15.0%
E 289
12.5%
6 198
 
8.6%
5 177
 
7.7%
1 145
 
6.3%
3 136
 
5.9%
2 125
 
5.4%
4 109
 
4.7%
7 94
 
4.1%
Other values (3) 116
 
5.0%

시작
Date

Distinct96
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
Minimum2020-07-27 00:00:00
Maximum2023-07-14 00:00:00
2023-12-13T07:48:15.361373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:15.480752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료
Date

Distinct71
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
Minimum2023-07-26 00:00:00
Maximum2026-06-29 00:00:00
2023-12-13T07:48:15.595056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:15.730858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

연번기업명영향범주인증번호제품군인증제품명자원발자국-총량자원발자국-단위자원발자국-제조전자원발자국-제조자원발자국-사용자원발자국-폐기탄소발자국-총량탄소발자국-단위탄소발자국-제조전탄소발자국-제조탄소발자국-사용탄소발자국-폐기오존층영향-총량오존층영향-단위오존층영향-제조전오존층영향-제조오존층영향-사용오존층영향-폐기산성비-총량산성비-단위산성비-제조전산성비-제조산성비-사용산성비-폐기부영양화-총량부영양화-단위부영양화-제조전부영양화-제조부영양화-사용부영양화-폐기광화학 스모그-총량광화학 스모그-단위광화학 스모그-제조전광화학 스모그-제조광화학 스모그-사용광화학 스모그-폐기물발자국-총량물발자국-단위물발자국-제조전물발자국-제조물발자국-사용물발자국-폐기시작종료
01울산레미콘 주식회사환경성적2020347생산재레디믹스트 콘크리트[2524150]8.85.E01kgSbe/m38.71.E011.35.E02<NA><NA>2.28.E+02kgCO2e/m32.26.E+022.12.E+00<NA><NA>5.99.E06kgCFC11e/m35.62.E063.74.E07<NA><NA>3.07.E01kgSO2e/m33.01.E015.31.E03<NA><NA>3.68.E02kgPO43e/m33.61.E027.46.E04<NA><NA>1.73.E01kgC2H4e/m31.73.E011.36.E04<NA><NA>7.87.E01m3H2Oe/m36.00.E011.87.E01<NA><NA>2020-07-312023-07-30
12선일콘크리트(주)환경성적2020355생산재레디믹스트 콘크리트[2524150]8.98.E01kgSbe/m38.88.E011.06.E02<NA><NA>2.31.E+02kgCO2e/m32.29.E+021.66.E+00<NA><NA>6.84.E06kgCFC11e/m36.83.E069.28.E09<NA><NA>3.11.E01kgSO2e/m33.07.E014.27.E03<NA><NA>3.79.E02kgPO43e/m33.73.E025.94.E04<NA><NA>1.80.E01kgC2H4e/m31.80.E011.28.E04<NA><NA>7.29.E01m3H2Oe/m35.44.E011.84.E01<NA><NA>2020-07-312023-07-30
23선일콘크리트(주)환경성적2020356생산재레디믹스트 콘크리트[2521150]7.76.E01kgSbe/m37.66.E019.64.E03<NA><NA>2.00.E+02kgCO2e/m31.99.E+021.51.E+00<NA><NA>5.69.E06kgCFC11e/m35.68.E068.86.E09<NA><NA>2.68.E01kgSO2e/m32.64.E013.89.E03<NA><NA>3.27.E02kgPO43e/m33.21.E025.40.E04<NA><NA>1.55.E01kgC2H4e/m31.55.E011.12.E04<NA><NA>6.95.E01m3H2Oe/m34.76.E012.19.E01<NA><NA>2020-07-312023-07-30
34선일콘크리트(주)환경성적2020357생산재레디믹스트 콘크리트[2527150]9.27.E01kgSbe/m39.18.E019.73.E03<NA><NA>2.38.E+02kgCO2e/m32.37.E+021.53.E+00<NA><NA>7.04.E06kgCFC11e/m37.03.E068.88.E09<NA><NA>3.21.E01kgSO2e/m33.17.E013.92.E03<NA><NA>3.90.E02kgPO43e/m33.84.E025.44.E04<NA><NA>1.86.E01kgC2H4e/m31.86.E011.13.E04<NA><NA>7.57.E01m3H2Oe/m35.59.E011.98.E01<NA><NA>2020-07-312023-07-30
45선일콘크리트(주)환경성적2020358생산재레디믹스트 콘크리트[2530150]1.02.E+00kgSbe/m31.01.E+001.08.E02<NA><NA>2.63.E+02kgCO2e/m32.61.E+021.70.E+00<NA><NA>7.49.E06kgCFC11e/m37.48.E069.27.E09<NA><NA>3.50.E01kgSO2e/m33.46.E014.33.E03<NA><NA>4.23.E02kgPO43e/m34.17.E026.04.E04<NA><NA>2.05.E01kgC2H4e/m32.05.E011.28.E04<NA><NA>8.12.E01m3H2Oe/m36.01.E012.11.E01<NA><NA>2020-07-312023-07-30
56우진레미콘주식회사환경성적2020361생산재레디믹스트 콘크리트[2524150]9.68.E01kgSbe/m39.59.E018.71.E03<NA><NA>2.51.E+02kgCO2e/m32.50.E+021.37.E+00<NA><NA>6.77.E06kgCFC11e/m36.03.E067.36.E07<NA><NA>3.65.E01kgSO2e/m33.62.E013.41.E03<NA><NA>4.16.E02kgPO43e/m34.11.E024.84.E04<NA><NA>1.94.E01kgC2H4e/m31.94.E019.63.E05<NA><NA>6.24.E01m3H2Oe/m35.46.E017.76.E02<NA><NA>2020-07-312023-07-30
67우진레미콘주식회사환경성적2020362생산재레디믹스트 콘크리트[2521150]9.37.E01kgSbe/m39.28.E018.82.E03<NA><NA>2.43.E+02kgCO2e/m32.42.E+021.38.E+00<NA><NA>6.73.E06kgCFC11e/m35.99.E067.36.E07<NA><NA>3.55.E01kgSO2e/m33.51.E013.46.E03<NA><NA>4.06.E02kgPO43e/m34.01.E024.90.E04<NA><NA>1.88.E01kgC2H4e/m31.88.E019.92.E05<NA><NA>6.24.E01m3H2Oe/m35.43.E018.19.E02<NA><NA>2020-07-312023-07-30
78세종레미콘(주)환경성적2020363생산재레디믹스트 콘크리트[2521150]7.67.E01kgSbe/m37.57.E019.25.E03<NA><NA>1.97.E+02kgCO2e/m31.95.E+021.46.E+00<NA><NA>6.16.E06kgCFC11e/m36.15.E064.68.E09<NA><NA>2.69.E01kgSO2e/m32.66.E013.17.E03<NA><NA>3.32.E02kgPO43e/m33.27.E024.92.E04<NA><NA>1.55.E01kgC2H4e/m31.55.E016.37.E05<NA><NA>5.65.E01m3H2Oe/m35.05.E015.98.E02<NA><NA>2020-07-312023-07-30
89세종레미콘(주)환경성적2020364생산재레디믹스트 콘크리트[2524150]8.33.E01kgSbe/m38.23.E019.35.E03<NA><NA>2.14.E+02kgCO2e/m32.13.E+021.47.E+00<NA><NA>6.32.E06kgCFC11e/m36.31.E064.63.E09<NA><NA>2.89.E01kgSO2e/m32.86.E013.18.E03<NA><NA>3.53.E02kgPO43e/m33.48.E024.96.E04<NA><NA>1.67.E01kgC2H4e/m31.67.E016.22.E05<NA><NA>5.91.E01m3H2Oe/m35.31.E016.04.E02<NA><NA>2020-07-312023-07-30
910세종레미콘(주)환경성적2020365생산재레디믹스트 콘크리트[2527150]9.64.E01kgSbe/m39.54.E019.75.E03<NA><NA>2.46.E+02kgCO2e/m32.45.E+021.54.E+00<NA><NA>7.69.E06kgCFC11e/m37.68.E064.68.E09<NA><NA>3.36.E01kgSO2e/m33.32.E013.30.E03<NA><NA>4.10.E02kgPO43e/m34.05.E025.17.E04<NA><NA>1.95.E01kgC2H4e/m31.95.E016.42.E05<NA><NA>6.82.E01m3H2Oe/m36.21.E016.08.E02<NA><NA>2020-07-312023-07-30
연번기업명영향범주인증번호제품군인증제품명자원발자국-총량자원발자국-단위자원발자국-제조전자원발자국-제조자원발자국-사용자원발자국-폐기탄소발자국-총량탄소발자국-단위탄소발자국-제조전탄소발자국-제조탄소발자국-사용탄소발자국-폐기오존층영향-총량오존층영향-단위오존층영향-제조전오존층영향-제조오존층영향-사용오존층영향-폐기산성비-총량산성비-단위산성비-제조전산성비-제조산성비-사용산성비-폐기부영양화-총량부영양화-단위부영양화-제조전부영양화-제조부영양화-사용부영양화-폐기광화학 스모그-총량광화학 스모그-단위광화학 스모그-제조전광화학 스모그-제조광화학 스모그-사용광화학 스모그-폐기물발자국-총량물발자국-단위물발자국-제조전물발자국-제조물발자국-사용물발자국-폐기시작종료
19371938동화기업(주)저탄소제품2023316생산재나투스 진 [7.0mm]2.91.E02kgSbe/㎡2.30.E026.04.E03<NA><NA>4.50.E+00kgCO2e/㎡3.53.E+009.73.E01<NA><NA>1.98.E04kgCFC11e/㎡1.98.E047.00.E10<NA><NA>2.08.E02kgSO2e/㎡1.90.E021.81.E03<NA><NA>6.77.E03kgPO43e/㎡6.45.E033.20.E04<NA><NA>8.78.E03kgC2H4e/㎡8.67.E031.11.E04<NA><NA>1.79.E01m3H2Oe/㎡1.67.E011.18.E02<NA><NA>2023-06-302026-06-29
19381939주식회사 삼기레미콘저탄소제품2023317생산재레디믹스트 콘크리트[2524150, 수도권]5.51.E01kgSbe/㎥5.39.E011.27.E02<NA><NA>2.19.E+02kgCO2e/㎥2.17.E+022.01.E+00<NA><NA>2.06.E02kgCFC11e/㎥2.06.E021.55.E09<NA><NA>3.02.E01kgSO2e/㎥2.99.E013.60.E03<NA><NA>5.72.E02kgPO43e/㎥5.66.E026.42.E04<NA><NA>3.48.E02kgC2H4e/㎥3.48.E023.02.E05<NA><NA>5.00.E01m3H2Oe/㎥4.13.E018.69.E02<NA><NA>2023-06-302026-06-29
19391940주식회사 삼기레미콘저탄소제품2023318생산재레디믹스트 콘크리트[2527150, 수도권]5.86.E01kgSbe/㎥5.73.E011.32.E02<NA><NA>2.25.E+02kgCO2e/㎥2.23.E+022.09.E+00<NA><NA>2.64.E02kgCFC11e/㎥2.64.E021.54.E09<NA><NA>2.99.E01kgSO2e/㎥2.95.E013.74.E03<NA><NA>5.67.E02kgPO43e/㎥5.61.E026.67.E04<NA><NA>4.12.E02kgC2H4e/㎥4.12.E023.09.E05<NA><NA>5.12.E01m3H2Oe/㎥4.28.E018.44.E02<NA><NA>2023-06-302026-06-29
19401941주식회사 삼기레미콘저탄소제품2023319생산재레디믹스트 콘크리트[2530150, 수도권]6.17.E01kgSbe/㎥6.05.E011.24.E02<NA><NA>2.23.E+02kgCO2e/㎥2.21.E+021.96.E+00<NA><NA>3.68.E02kgCFC11e/㎥3.68.E021.57.E09<NA><NA>2.69.E01kgSO2e/㎥2.66.E013.52.E03<NA><NA>5.16.E02kgPO43e/㎥5.10.E026.27.E04<NA><NA>5.17.E02kgC2H4e/㎥5.17.E022.99.E05<NA><NA>5.37.E01m3H2Oe/㎥4.27.E011.10.E01<NA><NA>2023-06-302026-06-29
19411942주식회사 삼기레미콘저탄소제품2023320생산재레디믹스트 콘크리트[2535150, 수도권]4.76.E01kgSbe/㎥4.63.E011.28.E02<NA><NA>1.92.E+02kgCO2e/㎥1.90.E+022.02.E+00<NA><NA>9.93.E03kgCFC11e/㎥9.93.E031.55.E09<NA><NA>3.03.E01kgSO2e/㎥3.00.E013.62.E03<NA><NA>5.69.E02kgPO43e/㎥5.62.E026.45.E04<NA><NA>2.96.E02kgC2H4e/㎥2.96.E023.03.E05<NA><NA>4.86.E01m3H2Oe/㎥3.93.E019.24.E02<NA><NA>2023-06-302026-06-29
19421943주식회사 삼기레미콘저탄소제품2023321생산재레디믹스트 콘크리트[2540150, 수도권]7.13.E01kgSbe/㎥7.01.E011.21.E02<NA><NA>2.69.E+02kgCO2e/㎥2.67.E+021.91.E+00<NA><NA>3.30.E02kgCFC11e/㎥3.30.E021.57.E09<NA><NA>3.62.E01kgSO2e/㎥3.58.E013.43.E03<NA><NA>6.84.E02kgPO43e/㎥6.78.E026.10.E04<NA><NA>5.57.E02kgC2H4e/㎥5.56.E022.93.E05<NA><NA>5.87.E01m3H2Oe/㎥4.82.E011.05.E01<NA><NA>2023-06-302026-06-29
19431944(주)벽산저탄소제품2023322생산재벽산 석고텍스3.59.E02kgSbe/box4.96.E033.09.E02<NA><NA>4.74.E+00kgCO2e/box9.89.E013.75.E+00<NA><NA>1.94.E04kgCFC11e/box1.94.E042.50.E08<NA><NA>1.60.E02kgSO2e/box2.44.E031.36.E02<NA><NA>2.14.E03kgPO43e/box5.20.E041.62.E03<NA><NA>1.43.E03kgC2H4e/box5.42.E048.89.E04<NA><NA>5.03.E01m3H2Oe/box4.90.E011.33.E02<NA><NA>2023-07-132026-02-23
19441945(주)서울벽지환경성적2020075생산재카라6.05.E03kgSbe/m25.23.E038.15.E04<NA><NA>6.55.E01kgCO2e/m25.54.E011.02.E01<NA><NA>2.63.E05kgCFC11e/m22.41.E052.18.E06<NA><NA>2.76.E03kgSO2e/m22.42.E033.41.E04<NA><NA>7.24.E04kgPO43e/m26.82.E044.16.E05<NA><NA>3.11.E03kgC2H4e/m29.17.E042.19.E03<NA><NA>7.05.E02m3H2Oe/m26.98.E026.61.E04<NA><NA>2023-07-102026-06-15
19451946대림비앤코(주)환경성적2023323에너지사용TC400HD5.86.E+00kgSbe/대6.35.E011.21.E035.19.E+002.74.E028.38.E+02kgCO2e/대1.06.E+011.91.E018.21.E+026.36.E+002.55.E04kgCFC11e/대6.30.E062.49.E042.27.E083.37.E071.75.E+00kgSO2e/대3.43.E017.91.E051.39.E+001.63.E023.22.E01kgPO43e/대5.87.E027.48.E052.58.E015.13.E038.87.E02kgC2H4e/대8.02.E023.21.E045.85.E032.37.E031.22.E+01m3H2Oe/대1.93.E+001.28.E031.02.E+013.32.E032023-07-142026-03-15
19461947대림비앤코(주)환경성적2023324에너지사용TC500HD4.70.E+00kgSbe/대1.08.E+002.12.E033.59.E+002.46.E026.02.E+02kgCO2e/대2.34.E+013.35.E015.68.E+021.05.E+014.70.E04kgCFC11e/대1.04.E054.60.E043.20.E083.07.E071.56.E+00kgSO2e/대5.88.E011.14.E049.61.E011.50.E022.83.E01kgPO43e/대9.81.E029.58.E051.79.E015.71.E031.41.E01kgC2H4e/대1.34.E015.93.E044.36.E032.21.E031.04.E+01m3H2Oe/대3.28.E+002.14.E037.09.E+002.91.E032023-07-142026-03-15