Overview

Dataset statistics

Number of variables9
Number of observations1439
Missing cells562
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.9 KiB
Average record size in memory76.1 B

Variable types

Numeric3
Text2
Categorical3
DateTime1

Dataset

Description충청남도_홍성군_태양광전기사업허가현황(발전소명, 설비용량 발전소주소 최초허가일 사업개시일) 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=399&beforeMenuCd=DOM_000000201001001000&publicdatapk=15042036

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 설치연도High correlation
설치연도 is highly overall correlated with 순번High correlation
공급전압(V) is highly imbalanced (89.4%)Imbalance
주파수(Hz) is highly imbalanced (99.2%)Imbalance
설치연도 has 562 (39.1%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:54:45.219777
Analysis finished2024-01-09 20:54:46.694887
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1439
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720
Minimum1
Maximum1439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-01-10T05:54:46.755693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile72.9
Q1360.5
median720
Q31079.5
95-th percentile1367.1
Maximum1439
Range1438
Interquartile range (IQR)719

Descriptive statistics

Standard deviation415.54783
Coefficient of variation (CV)0.57714977
Kurtosis-1.2
Mean720
Median Absolute Deviation (MAD)360
Skewness0
Sum1036080
Variance172680
MonotonicityStrictly increasing
2024-01-10T05:54:46.871712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
968 1
 
0.1%
966 1
 
0.1%
965 1
 
0.1%
964 1
 
0.1%
963 1
 
0.1%
962 1
 
0.1%
961 1
 
0.1%
960 1
 
0.1%
959 1
 
0.1%
Other values (1429) 1429
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1439 1
0.1%
1438 1
0.1%
1437 1
0.1%
1436 1
0.1%
1435 1
0.1%
1434 1
0.1%
1433 1
0.1%
1432 1
0.1%
1431 1
0.1%
1430 1
0.1%
Distinct1375
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-01-10T05:54:47.142912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length10.104934
Min length2

Characters and Unicode

Total characters14541
Distinct characters364
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1324 ?
Unique (%)92.0%

Sample

1st row예선 태양광발전소
2nd row능동 태양광발전소
3rd row새싹3호 태양광발전소
4th row은총2호 태양광발전소
5th row은총1호 태양광발전소
ValueCountFrequency (%)
태양광발전소 566
 
26.0%
발전소 19
 
0.9%
홍주 16
 
0.7%
태양광 13
 
0.6%
2호 12
 
0.6%
홍성2차 11
 
0.5%
1호 11
 
0.5%
수상태양광발전소 11
 
0.5%
3호 9
 
0.4%
4호 9
 
0.4%
Other values (1359) 1500
68.9%
2024-01-10T05:54:47.840543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1372
 
9.4%
1346
 
9.3%
1335
 
9.2%
1331
 
9.2%
1324
 
9.1%
1315
 
9.0%
740
 
5.1%
633
 
4.4%
2 232
 
1.6%
1 231
 
1.6%
Other values (354) 4682
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12753
87.7%
Decimal Number 810
 
5.6%
Space Separator 740
 
5.1%
Uppercase Letter 107
 
0.7%
Close Punctuation 48
 
0.3%
Open Punctuation 48
 
0.3%
Other Symbol 18
 
0.1%
Lowercase Letter 10
 
0.1%
Dash Punctuation 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1372
 
10.8%
1346
 
10.6%
1335
 
10.5%
1331
 
10.4%
1324
 
10.4%
1315
 
10.3%
633
 
5.0%
173
 
1.4%
132
 
1.0%
114
 
0.9%
Other values (311) 3678
28.8%
Uppercase Letter
ValueCountFrequency (%)
S 29
27.1%
M 12
11.2%
H 12
11.2%
Y 11
 
10.3%
A 7
 
6.5%
B 7
 
6.5%
D 6
 
5.6%
E 5
 
4.7%
N 4
 
3.7%
G 4
 
3.7%
Other values (7) 10
 
9.3%
Decimal Number
ValueCountFrequency (%)
2 232
28.6%
1 231
28.5%
3 113
14.0%
4 66
 
8.1%
5 48
 
5.9%
6 31
 
3.8%
7 29
 
3.6%
0 23
 
2.8%
8 21
 
2.6%
9 16
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
20.0%
e 2
20.0%
l 1
10.0%
t 1
10.0%
r 1
10.0%
o 1
10.0%
n 1
10.0%
i 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
740
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Other Symbol
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12771
87.8%
Common 1652
 
11.4%
Latin 118
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1372
 
10.7%
1346
 
10.5%
1335
 
10.5%
1331
 
10.4%
1324
 
10.4%
1315
 
10.3%
633
 
5.0%
173
 
1.4%
132
 
1.0%
114
 
0.9%
Other values (312) 3696
28.9%
Latin
ValueCountFrequency (%)
S 29
24.6%
M 12
10.2%
H 12
10.2%
Y 11
 
9.3%
A 7
 
5.9%
B 7
 
5.9%
D 6
 
5.1%
E 5
 
4.2%
N 4
 
3.4%
G 4
 
3.4%
Other values (16) 21
17.8%
Common
ValueCountFrequency (%)
740
44.8%
2 232
 
14.0%
1 231
 
14.0%
3 113
 
6.8%
4 66
 
4.0%
) 48
 
2.9%
( 48
 
2.9%
5 48
 
2.9%
6 31
 
1.9%
7 29
 
1.8%
Other values (6) 66
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12753
87.7%
ASCII 1768
 
12.2%
None 19
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1372
 
10.8%
1346
 
10.6%
1335
 
10.5%
1331
 
10.4%
1324
 
10.4%
1315
 
10.3%
633
 
5.0%
173
 
1.4%
132
 
1.0%
114
 
0.9%
Other values (311) 3678
28.8%
ASCII
ValueCountFrequency (%)
740
41.9%
2 232
 
13.1%
1 231
 
13.1%
3 113
 
6.4%
4 66
 
3.7%
) 48
 
2.7%
( 48
 
2.7%
5 48
 
2.7%
6 31
 
1.8%
7 29
 
1.6%
Other values (30) 182
 
10.3%
None
ValueCountFrequency (%)
18
94.7%
1
 
5.3%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct1160
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
2024-01-10T05:54:48.150604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length63
Mean length29.646977
Min length18

Characters and Unicode

Total characters42662
Distinct characters171
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1016 ?
Unique (%)70.6%

Sample

1st row충청남도 홍성군 홍북읍 신경리 861 주1동(건물위)
2nd row충청남도 홍성군 서부면 중리 542-1, 525, 526
3rd row충청남도 홍성군 서부면 중리 525, 526
4th row충청남도 홍성군 서부면 중리 525
5th row충청남도 홍성군 서부면 중리 525
ValueCountFrequency (%)
충청남도 1436
 
15.7%
홍성군 1436
 
15.7%
구항면 164
 
1.8%
은하면 159
 
1.7%
결성면 159
 
1.7%
갈산면 155
 
1.7%
홍동면 152
 
1.7%
148
 
1.6%
서부면 147
 
1.6%
주1동(건물위 146
 
1.6%
Other values (1676) 5031
55.1%
2024-01-10T05:54:48.606790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7695
 
18.0%
1 1836
 
4.3%
1777
 
4.2%
1728
 
4.1%
1513
 
3.5%
1477
 
3.5%
1450
 
3.4%
1442
 
3.4%
1436
 
3.4%
1269
 
3.0%
Other values (161) 21039
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22758
53.3%
Decimal Number 9060
 
21.2%
Space Separator 7695
 
18.0%
Dash Punctuation 1199
 
2.8%
Other Punctuation 1006
 
2.4%
Open Punctuation 467
 
1.1%
Close Punctuation 465
 
1.1%
Math Symbol 11
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1777
 
7.8%
1728
 
7.6%
1513
 
6.6%
1477
 
6.5%
1450
 
6.4%
1442
 
6.3%
1436
 
6.3%
1269
 
5.6%
1167
 
5.1%
631
 
2.8%
Other values (142) 8868
39.0%
Decimal Number
ValueCountFrequency (%)
1 1836
20.3%
2 1226
13.5%
3 1080
11.9%
4 984
10.9%
5 857
9.5%
6 720
 
7.9%
7 665
 
7.3%
8 664
 
7.3%
9 554
 
6.1%
0 474
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 1002
99.6%
/ 3
 
0.3%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
7695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1199
100.0%
Open Punctuation
ValueCountFrequency (%)
( 467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 465
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22758
53.3%
Common 19903
46.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1777
 
7.8%
1728
 
7.6%
1513
 
6.6%
1477
 
6.5%
1450
 
6.4%
1442
 
6.3%
1436
 
6.3%
1269
 
5.6%
1167
 
5.1%
631
 
2.8%
Other values (142) 8868
39.0%
Common
ValueCountFrequency (%)
7695
38.7%
1 1836
 
9.2%
2 1226
 
6.2%
- 1199
 
6.0%
3 1080
 
5.4%
, 1002
 
5.0%
4 984
 
4.9%
5 857
 
4.3%
6 720
 
3.6%
7 665
 
3.3%
Other values (8) 2639
 
13.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22758
53.3%
ASCII 19904
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7695
38.7%
1 1836
 
9.2%
2 1226
 
6.2%
- 1199
 
6.0%
3 1080
 
5.4%
, 1002
 
5.0%
4 984
 
4.9%
5 857
 
4.3%
6 720
 
3.6%
7 665
 
3.3%
Other values (9) 2640
 
13.3%
Hangul
ValueCountFrequency (%)
1777
 
7.8%
1728
 
7.6%
1513
 
6.6%
1477
 
6.5%
1450
 
6.4%
1442
 
6.3%
1436
 
6.3%
1269
 
5.6%
1167
 
5.1%
631
 
2.8%
Other values (142) 8868
39.0%
Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
사업개시
866 
인허가취소
320 
인허가
166 
공사진행
 
85
타시군구이관
 
2

Length

Max length6
Median length4
Mean length4.1097985
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 866
60.2%
인허가취소 320
 
22.2%
인허가 166
 
11.5%
공사진행 85
 
5.9%
타시군구이관 2
 
0.1%

Length

2024-01-10T05:54:48.733737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:54:48.833070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 866
60.2%
인허가취소 320
 
22.2%
인허가 166
 
11.5%
공사진행 85
 
5.9%
타시군구이관 2
 
0.1%

설비용량(KW)
Real number (ℝ)

Distinct465
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.01223
Minimum5.04
Maximum1495.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-01-10T05:54:48.945198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.04
5-th percentile29.228
Q197.145
median99.28
Q399.9
95-th percentile991.908
Maximum1495.44
Range1490.4
Interquartile range (IQR)2.755

Descriptive statistics

Standard deviation236.83869
Coefficient of variation (CV)1.2801245
Kurtosis6.1053775
Mean185.01223
Median Absolute Deviation (MAD)1.88
Skewness2.6223522
Sum266232.6
Variance56092.564
MonotonicityNot monotonic
2024-01-10T05:54:49.069195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 86
 
6.0%
99.9 85
 
5.9%
97.92 61
 
4.2%
99.28 54
 
3.8%
99.71 40
 
2.8%
99.36 40
 
2.8%
99.2 35
 
2.4%
99.96 31
 
2.2%
997.92 30
 
2.1%
99.84 28
 
1.9%
Other values (455) 949
65.9%
ValueCountFrequency (%)
5.04 1
 
0.1%
9.6 1
 
0.1%
10.0 2
0.1%
14.4 1
 
0.1%
14.53 1
 
0.1%
15.0 3
0.2%
15.12 1
 
0.1%
15.3 1
 
0.1%
16.06 1
 
0.1%
16.2 1
 
0.1%
ValueCountFrequency (%)
1495.44 1
 
0.1%
1000.0 1
 
0.1%
999.99 1
 
0.1%
999.6 3
 
0.2%
999.1 1
 
0.1%
999.0 7
 
0.5%
998.4 2
 
0.1%
997.92 30
2.1%
997.56 6
 
0.4%
996.96 1
 
0.1%

공급전압(V)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
380
1388 
22900
 
32
220
 
9
22,900
 
8
229000
 
1

Length

Max length7
Median length3
Mean length3.0660181
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row380
2nd row380
3rd row380
4th row380
5th row380

Common Values

ValueCountFrequency (%)
380 1388
96.5%
22900 32
 
2.2%
220 9
 
0.6%
22,900 8
 
0.6%
229000 1
 
0.1%
380/220 1
 
0.1%

Length

2024-01-10T05:54:49.212999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:54:49.354569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 1388
96.5%
22900 32
 
2.2%
220 9
 
0.6%
22,900 8
 
0.6%
229000 1
 
0.1%
380/220 1
 
0.1%

주파수(Hz)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
60
1438 
6
 
1

Length

Max length2
Median length2
Mean length1.9993051
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 1438
99.9%
6 1
 
0.1%

Length

2024-01-10T05:54:49.481436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:54:49.599419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1438
99.9%
6 1
 
0.1%

설치연도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct13
Distinct (%)1.5%
Missing562
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean2019.5348
Minimum2007
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.8 KiB
2024-01-10T05:54:49.673435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2015
Q12018
median2020
Q32021
95-th percentile2023
Maximum2023
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1422552
Coefficient of variation (CV)0.0010607667
Kurtosis1.4590931
Mean2019.5348
Median Absolute Deviation (MAD)1
Skewness-0.76750068
Sum1771132
Variance4.5892572
MonotonicityNot monotonic
2024-01-10T05:54:49.766680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2020 246
17.1%
2019 154
 
10.7%
2021 96
 
6.7%
2022 94
 
6.5%
2017 80
 
5.6%
2018 72
 
5.0%
2023 67
 
4.7%
2015 36
 
2.5%
2016 16
 
1.1%
2014 9
 
0.6%
Other values (3) 7
 
0.5%
(Missing) 562
39.1%
ValueCountFrequency (%)
2007 1
 
0.1%
2012 2
 
0.1%
2013 4
 
0.3%
2014 9
 
0.6%
2015 36
 
2.5%
2016 16
 
1.1%
2017 80
 
5.6%
2018 72
 
5.0%
2019 154
10.7%
2020 246
17.1%
ValueCountFrequency (%)
2023 67
 
4.7%
2022 94
 
6.5%
2021 96
 
6.7%
2020 246
17.1%
2019 154
10.7%
2018 72
 
5.0%
2017 80
 
5.6%
2016 16
 
1.1%
2015 36
 
2.5%
2014 9
 
0.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.4 KiB
Minimum2023-09-27 00:00:00
Maximum2023-09-27 00:00:00
2024-01-10T05:54:49.853860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:49.934555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T05:54:46.220604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:45.714965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:45.959415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:46.307047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:45.792623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:46.045696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:46.390754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:45.873989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:54:46.129608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:54:50.009497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번가동상태구분명설비용량(KW)공급전압(V)주파수(Hz)설치연도
순번1.0000.6080.4610.1470.0000.754
가동상태구분명0.6081.0000.5290.1070.0000.107
설비용량(KW)0.4610.5291.0000.3260.1720.354
공급전압(V)0.1470.1070.3261.0000.0000.162
주파수(Hz)0.0000.0000.1720.0001.0000.000
설치연도0.7540.1070.3540.1620.0001.000
2024-01-10T05:54:50.104480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가동상태구분명주파수(Hz)공급전압(V)
가동상태구분명1.0000.0000.072
주파수(Hz)0.0001.0000.000
공급전압(V)0.0720.0001.000
2024-01-10T05:54:50.185902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(KW)설치연도가동상태구분명공급전압(V)주파수(Hz)
순번1.0000.182-0.7860.2960.0780.000
설비용량(KW)0.1821.000-0.1570.3600.1880.129
설치연도-0.786-0.1571.0000.1100.1060.000
가동상태구분명0.2960.3600.1101.0000.0720.000
공급전압(V)0.0780.1880.1060.0721.0000.000
주파수(Hz)0.0000.1290.0000.0000.0001.000

Missing values

2024-01-10T05:54:46.509999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:54:46.646642image/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

순번태양광발전시설명소재지주소가동상태구분명설비용량(KW)공급전압(V)주파수(Hz)설치연도데이터기준일자
01예선 태양광발전소충청남도 홍성군 홍북읍 신경리 861 주1동(건물위)인허가24.9938060<NA>2023-09-27
12능동 태양광발전소충청남도 홍성군 서부면 중리 542-1, 525, 526인허가299.4638060<NA>2023-09-27
23새싹3호 태양광발전소충청남도 홍성군 서부면 중리 525, 526인허가99.8238060<NA>2023-09-27
34은총2호 태양광발전소충청남도 홍성군 서부면 중리 525인허가99.8238060<NA>2023-09-27
45은총1호 태양광발전소충청남도 홍성군 서부면 중리 525인허가99.8238060<NA>2023-09-27
56형제태양광2호발전소충청남도 홍성군 홍북읍 신경리 707 주1동(건물위)인허가24.638060<NA>2023-09-27
67신진리인천정공2호 태양광발전소충청남도 홍성군 광천읍 신진리 604 주1동(건물위)공사진행99.9638060<NA>2023-09-27
78신진리인천정공1호 태양광발전소충청남도 홍성군 광천읍 신진리 604 주1동(건물위)공사진행99.9638060<NA>2023-09-27
89효진 태양광발전소충청남도 홍성군 은하면 목현리 385 주1동, 부1동(건물위)인허가64.838060<NA>2023-09-27
910화봉리신우정공4호 태양광발전소충청남도 홍성군 은하면 화봉리 1009-2 주3동(건물위)공사진행82.1138060<NA>2023-09-27
순번태양광발전시설명소재지주소가동상태구분명설비용량(KW)공급전압(V)주파수(Hz)설치연도데이터기준일자
14291430대율 태양광발전소충청남도 홍성군 은하면 대율리 398사업개시999.03806020172023-09-27
14301431월림산 태양광발전소충청남도 홍성군 광천읍 광금남로63번길 109-14사업개시999.03806020172023-09-27
14311432㈜우리파워15호 태양광발전소충청남도 홍성군 장곡면 옥계리 산 90사업개시603.843806020172023-09-27
14321433대송 태양광발전소충청남도 홍성군 결성면 형산리 산 168-12사업개시999.03806020172023-09-27
14331434백현 태양광발전소충청남도 홍성군 은하면 장곡리 462-1 대율리 51-7, 51-8사업개시870.03806020172023-09-27
14341435성남리2호 태양광발전소충청남도 홍성군 결성면 성남리 1106-2사업개시990.03806020162023-09-27
14351436성남리1호 태양광발전소충청남도 홍성군 결성면 성남리 1106-2사업개시990.03806020162023-09-27
14361437삼산에너지발전소충청남도 홍성군 장곡면 신풍리 769사업개시700.03806020162023-09-27
14371438단비덕실 태양광발전소충청남도 홍성군 은하면 홍남로22번길 149사업개시934.23806020162023-09-27
14381439(주)미르에너지 태양광발전소충청남도 홍성군 구항면 신곡리 산 56-3사업개시993.243806020182023-09-27