Overview

Dataset statistics

Number of variables11
Number of observations1539
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory136.9 KiB
Average record size in memory91.1 B

Variable types

Numeric3
Text3
Categorical3
DateTime2

Dataset

Description소비자가 저탄소 태양광 모듈 제품 정보를 확인하여 친환경적 태양광 제품을 선택할 수 있도록 정보 제공을 위한 탄소배출량 검증인정서 발급 목록(기업명, 공장명, 검증코드, 출력, 탄소배출량 등)
Author한국에너지공단
URLhttps://www.data.go.kr/data/15085909/fileData.do

Alerts

검증방법 has constant value ""Constant
공장명 is highly overall correlated with 기업명High correlation
기업명 is highly overall correlated with 공장명High correlation
연번 is highly overall correlated with 출력(W)High correlation
출력(W) is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
검증인정서 번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:17:54.849361
Analysis finished2024-03-14 11:17:58.694183
Duration3.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1539
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean770
Minimum1
Maximum1539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-03-14T20:17:58.884616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile77.9
Q1385.5
median770
Q31154.5
95-th percentile1462.1
Maximum1539
Range1538
Interquartile range (IQR)769

Descriptive statistics

Standard deviation444.41535
Coefficient of variation (CV)0.57716279
Kurtosis-1.2
Mean770
Median Absolute Deviation (MAD)385
Skewness0
Sum1185030
Variance197505
MonotonicityStrictly increasing
2024-03-14T20:17:59.336161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
964 1
 
0.1%
1034 1
 
0.1%
1033 1
 
0.1%
1032 1
 
0.1%
1031 1
 
0.1%
1030 1
 
0.1%
1029 1
 
0.1%
1028 1
 
0.1%
1027 1
 
0.1%
Other values (1529) 1529
99.4%
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 (%)
1539 1
0.1%
1538 1
0.1%
1537 1
0.1%
1536 1
0.1%
1535 1
0.1%
1534 1
0.1%
1533 1
0.1%
1532 1
0.1%
1531 1
0.1%
1530 1
0.1%

검증인정서 번호
Text

UNIQUE 

Distinct1539
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-03-14T20:18:00.644312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.3508772
Min length8

Characters and Unicode

Total characters12852
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1539 ?
Unique (%)100.0%

Sample

1st row2020-001
2nd row2020-002
3rd row2020-003
4th row2020-004
5th row2020-005
ValueCountFrequency (%)
2020-001 1
 
0.1%
2022-771 1
 
0.1%
2022-1033 1
 
0.1%
2022-1032 1
 
0.1%
2022-1031 1
 
0.1%
2022-1030 1
 
0.1%
2022-1029 1
 
0.1%
2022-1028 1
 
0.1%
2022-1027 1
 
0.1%
2022-1026 1
 
0.1%
Other values (1529) 1529
99.4%
2024-03-14T20:18:02.540956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4114
32.0%
0 2285
17.8%
- 1539
 
12.0%
1 1500
 
11.7%
3 850
 
6.6%
4 504
 
3.9%
5 444
 
3.5%
8 404
 
3.1%
6 404
 
3.1%
7 404
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11313
88.0%
Dash Punctuation 1539
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4114
36.4%
0 2285
20.2%
1 1500
 
13.3%
3 850
 
7.5%
4 504
 
4.5%
5 444
 
3.9%
8 404
 
3.6%
6 404
 
3.6%
7 404
 
3.6%
9 404
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 1539
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4114
32.0%
0 2285
17.8%
- 1539
 
12.0%
1 1500
 
11.7%
3 850
 
6.6%
4 504
 
3.9%
5 444
 
3.5%
8 404
 
3.1%
6 404
 
3.1%
7 404
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4114
32.0%
0 2285
17.8%
- 1539
 
12.0%
1 1500
 
11.7%
3 850
 
6.6%
4 504
 
3.9%
5 444
 
3.5%
8 404
 
3.1%
6 404
 
3.1%
7 404
 
3.1%

기업명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
에이치디현대에너지솔루션(주)
503 
한화솔루션(주)
486 
한솔테크닉스(주)
258 
(주)에스에너지
131 
(주)신성이엔지
68 
Other values (9)
93 

Length

Max length15
Median length11
Mean length10.430149
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row한화솔루션(주)
2nd row한화솔루션(주)
3rd row한화솔루션(주)
4th row한화솔루션(주)
5th row한화솔루션(주)

Common Values

ValueCountFrequency (%)
에이치디현대에너지솔루션(주) 503
32.7%
한화솔루션(주) 486
31.6%
한솔테크닉스(주) 258
16.8%
(주)에스에너지 131
 
8.5%
(주)신성이엔지 68
 
4.4%
(주)LG전자 28
 
1.8%
에스디엔(주) 25
 
1.6%
(주)에스디피브이 21
 
1.4%
(주)탑선 6
 
0.4%
Longi Solar 4
 
0.3%
Other values (4) 9
 
0.6%

Length

2024-03-14T20:18:02.873001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
에이치디현대에너지솔루션(주 503
32.6%
한화솔루션(주 486
31.5%
한솔테크닉스(주 258
16.7%
주)에스에너지 131
 
8.5%
주)신성이엔지 68
 
4.4%
주)lg전자 28
 
1.8%
에스디엔(주 25
 
1.6%
주)에스디피브이 21
 
1.4%
주)탑선 6
 
0.4%
longi 4
 
0.3%
Other values (5) 13
 
0.8%

공장명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
음성공장
510 
음성 제2사업장
258 
오창공장
258 
진천사업장
228 
대전공장
131 
Other values (11)
154 

Length

Max length8
Median length4
Mean length4.9135802
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row음성 제2사업장
2nd row음성 제2사업장
3rd row음성 제2사업장
4th row음성 제2사업장
5th row음성 제2사업장

Common Values

ValueCountFrequency (%)
음성공장 510
33.1%
음성 제2사업장 258
16.8%
오창공장 258
16.8%
진천사업장 228
14.8%
대전공장 131
 
8.5%
김제공장 61
 
4.0%
구미 제3공장 25
 
1.6%
광주첨단공장 25
 
1.6%
강진공장 21
 
1.4%
장성공장 6
 
0.4%
Other values (6) 16
 
1.0%

Length

2024-03-14T20:18:03.102382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음성공장 510
27.9%
음성 258
14.1%
제2사업장 258
14.1%
오창공장 258
14.1%
진천사업장 228
12.5%
대전공장 131
 
7.2%
김제공장 61
 
3.3%
구미 28
 
1.5%
광주첨단공장 25
 
1.4%
제3공장 25
 
1.4%
Other values (8) 43
 
2.4%

모델명
Text

Distinct524
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-03-14T20:18:03.989394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length17.462638
Min length9

Characters and Unicode

Total characters26875
Distinct characters43
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique251 ?
Unique (%)16.3%

Sample

1st rowQ.PEAK DUO XL-G9.3 KR1 440
2nd rowQ.PEAK DUO XL-G9.3 KR1 440
3rd rowQ.PEAK DUO XL-G9.3 KR1 440
4th rowQ.PEAK DUO XL-G9.3 KR1 445
5th rowQ.PEAK DUO XL-G9.3 KR1 445
ValueCountFrequency (%)
q.peak 486
 
14.1%
duo 477
 
13.9%
kr1 280
 
8.1%
xl-g11.3/bfg 86
 
2.5%
kr2 54
 
1.6%
kj1 51
 
1.5%
xl-g10.d/bfg 43
 
1.2%
xl-g10.3/bfg 40
 
1.2%
475 37
 
1.1%
470 37
 
1.1%
Other values (436) 1853
53.8%
2024-03-14T20:18:05.384467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2153
 
8.0%
1906
 
7.1%
S 1767
 
6.6%
5 1560
 
5.8%
0 1264
 
4.7%
4 1168
 
4.3%
H 1110
 
4.1%
G 1068
 
4.0%
1 1005
 
3.7%
K 920
 
3.4%
Other values (33) 12954
48.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 13822
51.4%
Decimal Number 7195
26.8%
Dash Punctuation 2153
 
8.0%
Space Separator 1906
 
7.1%
Other Punctuation 1179
 
4.4%
Lowercase Letter 620
 
2.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 1767
 
12.8%
H 1110
 
8.0%
G 1068
 
7.7%
K 920
 
6.7%
E 901
 
6.5%
O 885
 
6.4%
D 808
 
5.8%
L 627
 
4.5%
A 602
 
4.4%
U 575
 
4.2%
Other values (16) 4559
33.0%
Decimal Number
ValueCountFrequency (%)
5 1560
21.7%
0 1264
17.6%
4 1168
16.2%
1 1005
14.0%
3 453
 
6.3%
7 410
 
5.7%
8 388
 
5.4%
2 377
 
5.2%
6 292
 
4.1%
9 278
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
i 503
81.1%
d 92
 
14.8%
m 25
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 916
77.7%
/ 263
 
22.3%
Dash Punctuation
ValueCountFrequency (%)
- 2153
100.0%
Space Separator
ValueCountFrequency (%)
1906
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14442
53.7%
Common 12433
46.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 1767
 
12.2%
H 1110
 
7.7%
G 1068
 
7.4%
K 920
 
6.4%
E 901
 
6.2%
O 885
 
6.1%
D 808
 
5.6%
L 627
 
4.3%
A 602
 
4.2%
U 575
 
4.0%
Other values (19) 5179
35.9%
Common
ValueCountFrequency (%)
- 2153
17.3%
1906
15.3%
5 1560
12.5%
0 1264
10.2%
4 1168
9.4%
1 1005
8.1%
. 916
7.4%
3 453
 
3.6%
7 410
 
3.3%
8 388
 
3.1%
Other values (4) 1210
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2153
 
8.0%
1906
 
7.1%
S 1767
 
6.6%
5 1560
 
5.8%
0 1264
 
4.7%
4 1168
 
4.3%
H 1110
 
4.1%
G 1068
 
4.0%
1 1005
 
3.7%
K 920
 
3.4%
Other values (33) 12954
48.2%

검증코드
Text

Distinct1443
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2024-03-14T20:18:06.295221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length43
Mean length29.462638
Min length21

Characters and Unicode

Total characters45343
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1347 ?
Unique (%)87.5%

Sample

1st rowQ.PEAK DUO XL-G9.3 KR1 440_659.88kgCO2
2nd rowQ.PEAK DUO XL-G9.3 KR1 440_678.24kgCO2
3rd rowQ.PEAK DUO XL-G9.3 KR1 440_748.37kgCO2
4th rowQ.PEAK DUO XL-G9.3 KR1 445_652.46kgCO2
5th rowQ.PEAK DUO XL-G9.3 KR1 445_670.62kgCO2
ValueCountFrequency (%)
q.peak 486
 
14.1%
duo 477
 
13.8%
kr1 280
 
8.1%
xl-g11.3/bfg 86
 
2.5%
kr2 54
 
1.6%
kj1 51
 
1.5%
xl-g10.d/bfg 43
 
1.2%
xl-g10.3/bfg 40
 
1.2%
l-g6 37
 
1.1%
xl-g10.3 36
 
1.0%
Other values (1413) 1855
53.8%
2024-03-14T20:18:07.651703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2579
 
5.7%
. 2455
 
5.4%
O 2424
 
5.3%
5 2212
 
4.9%
- 2153
 
4.7%
1906
 
4.2%
0 1843
 
4.1%
4 1804
 
4.0%
S 1767
 
3.9%
6 1688
 
3.7%
Other values (36) 24512
54.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 16900
37.3%
Decimal Number 16429
36.2%
Lowercase Letter 3698
 
8.2%
Other Punctuation 2718
 
6.0%
Dash Punctuation 2153
 
4.7%
Space Separator 1906
 
4.2%
Connector Punctuation 1539
 
3.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 2424
14.3%
S 1767
 
10.5%
C 1608
 
9.5%
H 1110
 
6.6%
G 1068
 
6.3%
K 920
 
5.4%
E 901
 
5.3%
D 808
 
4.8%
L 627
 
3.7%
A 602
 
3.6%
Other values (16) 5065
30.0%
Decimal Number
ValueCountFrequency (%)
2 2579
15.7%
5 2212
13.5%
0 1843
11.2%
4 1804
11.0%
6 1688
10.3%
7 1666
10.1%
1 1631
9.9%
3 1091
6.6%
8 1055
6.4%
9 860
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
g 1539
41.6%
k 1539
41.6%
i 503
 
13.6%
d 92
 
2.5%
m 25
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 2455
90.3%
/ 263
 
9.7%
Dash Punctuation
ValueCountFrequency (%)
- 2153
100.0%
Space Separator
ValueCountFrequency (%)
1906
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1539
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24745
54.6%
Latin 20598
45.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 2424
 
11.8%
S 1767
 
8.6%
C 1608
 
7.8%
g 1539
 
7.5%
k 1539
 
7.5%
H 1110
 
5.4%
G 1068
 
5.2%
K 920
 
4.5%
E 901
 
4.4%
D 808
 
3.9%
Other values (21) 6914
33.6%
Common
ValueCountFrequency (%)
2 2579
10.4%
. 2455
9.9%
5 2212
8.9%
- 2153
8.7%
1906
 
7.7%
0 1843
 
7.4%
4 1804
 
7.3%
6 1688
 
6.8%
7 1666
 
6.7%
1 1631
 
6.6%
Other values (5) 4808
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2579
 
5.7%
. 2455
 
5.4%
O 2424
 
5.3%
5 2212
 
4.9%
- 2153
 
4.7%
1906
 
4.2%
0 1843
 
4.1%
4 1804
 
4.0%
S 1767
 
3.9%
6 1688
 
3.7%
Other values (36) 24512
54.1%

출력(W)
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean487.72904
Minimum230
Maximum660
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-03-14T20:18:08.067422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum230
5-th percentile395
Q1440
median480
Q3542.5
95-th percentile590
Maximum660
Range430
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation63.537299
Coefficient of variation (CV)0.13027171
Kurtosis-0.26395069
Mean487.72904
Median Absolute Deviation (MAD)45
Skewness0.041563864
Sum750615
Variance4036.9883
MonotonicityNot monotonic
2024-03-14T20:18:08.484288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
480 84
 
5.5%
475 80
 
5.2%
485 78
 
5.1%
470 68
 
4.4%
500 66
 
4.3%
495 66
 
4.3%
490 63
 
4.1%
585 58
 
3.8%
580 55
 
3.6%
450 50
 
3.2%
Other values (47) 871
56.6%
ValueCountFrequency (%)
230 1
 
0.1%
235 1
 
0.1%
240 1
 
0.1%
315 3
0.2%
320 4
0.3%
325 4
0.3%
330 2
0.1%
335 1
 
0.1%
355 1
 
0.1%
360 1
 
0.1%
ValueCountFrequency (%)
660 1
 
0.1%
605 3
 
0.2%
600 29
1.9%
595 40
2.6%
590 41
2.7%
585 58
3.8%
580 55
3.6%
575 38
2.5%
570 25
1.6%
565 4
 
0.3%

탄소배출량
Real number (ℝ)

Distinct1282
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean693.17567
Minimum537.94
Maximum838.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.7 KiB
2024-03-14T20:18:08.872483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum537.94
5-th percentile604.26
Q1650.425
median689.96
Q3736.93
95-th percentile793.532
Maximum838.06
Range300.12
Interquartile range (IQR)86.505

Descriptive statistics

Standard deviation59.240242
Coefficient of variation (CV)0.085462091
Kurtosis-0.53437187
Mean693.17567
Median Absolute Deviation (MAD)43.65
Skewness0.023683894
Sum1066797.4
Variance3509.4062
MonotonicityNot monotonic
2024-03-14T20:18:09.307372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
643.05 4
 
0.3%
669.05 4
 
0.3%
776.32 3
 
0.2%
667.7 3
 
0.2%
724.73 3
 
0.2%
702.78 3
 
0.2%
708.84 3
 
0.2%
715.0 3
 
0.2%
767.6 3
 
0.2%
759.07 3
 
0.2%
Other values (1272) 1507
97.9%
ValueCountFrequency (%)
537.94 1
0.1%
543.32 1
0.1%
548.76 1
0.1%
548.8 1
0.1%
554.95 1
0.1%
555.04 1
0.1%
555.39 1
0.1%
555.78 2
0.1%
556.21 1
0.1%
556.68 1
0.1%
ValueCountFrequency (%)
838.06 1
0.1%
832.04 1
0.1%
827.59 1
0.1%
826.88 1
0.1%
825.5 2
0.1%
824.03 1
0.1%
823.11 2
0.1%
822.93 1
0.1%
822.48 1
0.1%
821.77 1
0.1%

검증방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
표준배출계수
1539 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
표준배출계수 1539
100.0%

Length

2024-03-14T20:18:09.726614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:18:10.035173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표준배출계수 1539
100.0%

검증인정서 발급일
Date

Distinct37
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2020-09-16 00:00:00
Maximum2024-04-02 00:00:00
2024-03-14T20:18:10.357451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:18:10.756738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

검증인정서 만료일
Date

Distinct37
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2023-09-15 00:00:00
Maximum2027-04-01 00:00:00
2024-03-14T20:18:10.979867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:18:11.207267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

Interactions

2024-03-14T20:17:57.072838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:55.491638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:56.309750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:57.352997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:55.778539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:56.576863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:57.600387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:56.034609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:17:56.814147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:18:11.363455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기업명공장명출력(W)탄소배출량검증인정서 발급일검증인정서 만료일
연번1.0000.4900.5130.7780.6850.9890.989
기업명0.4901.0001.0000.7650.4970.7880.788
공장명0.5131.0001.0000.7770.5130.7880.788
출력(W)0.7780.7650.7771.0000.6970.7810.781
탄소배출량0.6850.4970.5130.6971.0000.7370.737
검증인정서 발급일0.9890.7880.7880.7810.7371.0001.000
검증인정서 만료일0.9890.7880.7880.7810.7371.0001.000
2024-03-14T20:18:11.546411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공장명기업명
공장명1.0000.995
기업명0.9951.000
2024-03-14T20:18:11.688261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번출력(W)탄소배출량기업명공장명
연번1.0000.823-0.4730.2220.229
출력(W)0.8231.000-0.3270.4400.444
탄소배출량-0.473-0.3271.0000.2260.229
기업명0.2220.4400.2261.0000.995
공장명0.2290.4440.2290.9951.000

Missing values

2024-03-14T20:17:57.979229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:17:58.491488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번검증인정서 번호기업명공장명모델명검증코드출력(W)탄소배출량검증방법검증인정서 발급일검증인정서 만료일
012020-001한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 440Q.PEAK DUO XL-G9.3 KR1 440_659.88kgCO2440659.88표준배출계수2023-09-162026-09-15
122020-002한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 440Q.PEAK DUO XL-G9.3 KR1 440_678.24kgCO2440678.24표준배출계수2023-09-162026-09-15
232020-003한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 440Q.PEAK DUO XL-G9.3 KR1 440_748.37kgCO2440748.37표준배출계수2020-09-162023-09-15
342020-004한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 445Q.PEAK DUO XL-G9.3 KR1 445_652.46kgCO2445652.46표준배출계수2023-09-162026-09-15
452020-005한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 445Q.PEAK DUO XL-G9.3 KR1 445_670.62kgCO2445670.62표준배출계수2023-09-162026-09-15
562020-006한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 445Q.PEAK DUO XL-G9.3 KR1 445_739.96kgCO2445739.96표준배출계수2020-09-162023-09-15
672020-007한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 450Q.PEAK DUO XL-G9.3 KR1 450_645.21kgCO2450645.21표준배출계수2023-09-162026-09-15
782020-008한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 450Q.PEAK DUO XL-G9.3 KR1 450_663.17kgCO2450663.17표준배출계수2023-09-162026-09-15
892020-009한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 450Q.PEAK DUO XL-G9.3 KR1 450_731.74kgCO2450731.74표준배출계수2020-09-162023-09-15
9102020-010한화솔루션(주)음성 제2사업장Q.PEAK DUO XL-G9.3 KR1 455Q.PEAK DUO XL-G9.3 KR1 455_638.12kgCO2455638.12표준배출계수2023-09-162026-09-15
연번검증인정서 번호기업명공장명모델명검증코드출력(W)탄소배출량검증방법검증인정서 발급일검증인정서 만료일
152915302023-1530(주)에스에너지대전공장SL65-78BGJ-590SSL65-78BGJ-590S_678.97kgCO2590678.97표준배출계수2023-12-212026-12-20
153015312023-1531(주)에스에너지대전공장SL65-78BGJ-595SSL65-78BGJ-595S_673.26kgCO2595673.26표준배출계수2023-12-212026-12-20
153115322023-1532(주)에스에너지대전공장SL65-78BGJ-600SSL65-78BGJ-600S_667.65kgCO2600667.65표준배출계수2023-12-212026-12-20
153215332023-1533(주)에스에너지대전공장SL65-66BAJ-490SSL65-66BAJ-490S_687.16kgCO2490687.16표준배출계수2023-12-212026-12-20
153315342023-1534(주)에스에너지대전공장SL65-66BAJ-495SSL65-66BAJ-495S_680.22kgCO2495680.22표준배출계수2023-12-212026-12-20
153415352023-1535(주)에스에너지대전공장SL65-66BAJ-500SSL65-66BAJ-500S_673.42kgCO2500673.42표준배출계수2023-12-212026-12-20
153515362023-1536한화솔루션(주)진천사업장Q.PEAK DUO XL-G11S.3/BFG KJ2 585Q.PEAK DUO XL-G11S.3/BFG KJ2 585_680.79kgCO2585680.79표준배출계수2023-12-212026-12-20
153615372023-1537한화솔루션(주)진천사업장Q.PEAK DUO XL-G11S.3/BFG KJ2 590Q.PEAK DUO XL-G11S.3/BFG KJ2 590_675.02kgCO2590675.02표준배출계수2023-12-212026-12-20
153715382023-1538한화솔루션(주)진천사업장Q.PEAK DUO XL-G11S.3/BFG KJ2 595Q.PEAK DUO XL-G11S.3/BFG KJ2 595_669.35kgCO2595669.35표준배출계수2023-12-212026-12-20
153815392023-1539한화솔루션(주)진천사업장Q.PEAK DUO XL-G11S.3/BFG KJ2 600Q.PEAK DUO XL-G11S.3/BFG KJ2 600_663.77kgCO2600663.77표준배출계수2023-12-212026-12-20