Overview

Dataset statistics

Number of variables7
Number of observations1253
Missing cells331
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.9 KiB
Average record size in memory57.1 B

Variable types

Text4
DateTime1
Numeric1
Categorical1

Dataset

Description충청남도 전기(발전)사업 현황으로 허가번호, 발전소명, 상호, 설치장소, 허가일자, 설비용량, 원동력 종류 등을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=385&beforeMenuCd=DOM_000000201001001000&publicdatapk=15032204

Alerts

원동력 is highly imbalanced (95.0%)Imbalance
상호 has 331 (26.4%) missing valuesMissing
허가번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:51:02.480764
Analysis finished2024-03-13 11:51:03.572712
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가번호
Text

UNIQUE 

Distinct1253
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-03-13T20:51:03.951331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.9297686
Min length2

Characters and Unicode

Total characters4924
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

Unique1253 ?
Unique (%)100.0%

Sample

1st row22
2nd row29
3rd row63
4th row64
5th row132
ValueCountFrequency (%)
22 1
 
0.1%
1965 1
 
0.1%
1974 1
 
0.1%
1973 1
 
0.1%
1972 1
 
0.1%
1969 1
 
0.1%
1968 1
 
0.1%
1967 1
 
0.1%
1980 1
 
0.1%
1964 1
 
0.1%
Other values (1243) 1243
99.2%
2024-03-13T20:51:04.692243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1149
23.3%
2 841
17.1%
3 431
 
8.8%
9 402
 
8.2%
0 397
 
8.1%
4 356
 
7.2%
6 342
 
6.9%
8 339
 
6.9%
5 339
 
6.9%
7 316
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4912
99.8%
Dash Punctuation 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1149
23.4%
2 841
17.1%
3 431
 
8.8%
9 402
 
8.2%
0 397
 
8.1%
4 356
 
7.2%
6 342
 
7.0%
8 339
 
6.9%
5 339
 
6.9%
7 316
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1149
23.3%
2 841
17.1%
3 431
 
8.8%
9 402
 
8.2%
0 397
 
8.1%
4 356
 
7.2%
6 342
 
6.9%
8 339
 
6.9%
5 339
 
6.9%
7 316
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1149
23.3%
2 841
17.1%
3 431
 
8.8%
9 402
 
8.2%
0 397
 
8.1%
4 356
 
7.2%
6 342
 
6.9%
8 339
 
6.9%
5 339
 
6.9%
7 316
 
6.4%
Distinct1245
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-03-13T20:51:04.975061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length12.798883
Min length4

Characters and Unicode

Total characters16037
Distinct characters429
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1237 ?
Unique (%)98.7%

Sample

1st row 금성
2nd row 서천화력 태양광
3rd row 일산 1호
4th row 일산 2호
5th row 태안솔라팜
ValueCountFrequency (%)
태양광발전소 755
32.1%
태양광 110
 
4.7%
수상태양광발전소 52
 
2.2%
발전소 10
 
0.4%
아산 10
 
0.4%
1호 9
 
0.4%
폐철도 7
 
0.3%
2호 7
 
0.3%
티엠솔라 6
 
0.3%
㈜썬솔라에너지 6
 
0.3%
Other values (1290) 1380
58.7%
2024-03-13T20:51:05.420292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3530
22.0%
1146
 
7.1%
1144
 
7.1%
1139
 
7.1%
970
 
6.0%
952
 
5.9%
937
 
5.8%
337
 
2.1%
259
 
1.6%
231
 
1.4%
Other values (419) 5392
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11478
71.6%
Space Separator 3530
 
22.0%
Decimal Number 489
 
3.0%
Other Symbol 259
 
1.6%
Uppercase Letter 165
 
1.0%
Open Punctuation 37
 
0.2%
Close Punctuation 37
 
0.2%
Dash Punctuation 18
 
0.1%
Lowercase Letter 15
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1146
 
10.0%
1144
 
10.0%
1139
 
9.9%
970
 
8.5%
952
 
8.3%
937
 
8.2%
337
 
2.9%
231
 
2.0%
226
 
2.0%
162
 
1.4%
Other values (367) 4234
36.9%
Uppercase Letter
ValueCountFrequency (%)
S 39
23.6%
E 21
12.7%
C 17
10.3%
K 14
 
8.5%
N 8
 
4.8%
J 7
 
4.2%
O 6
 
3.6%
L 6
 
3.6%
Y 6
 
3.6%
A 5
 
3.0%
Other values (11) 36
21.8%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
k 2
13.3%
t 2
13.3%
p 1
 
6.7%
f 1
 
6.7%
h 1
 
6.7%
j 1
 
6.7%
w 1
 
6.7%
a 1
 
6.7%
e 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 192
39.3%
2 128
26.2%
3 64
 
13.1%
5 26
 
5.3%
4 23
 
4.7%
6 21
 
4.3%
7 11
 
2.2%
8 9
 
1.8%
0 9
 
1.8%
9 6
 
1.2%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
# 1
20.0%
, 1
20.0%
. 1
20.0%
Space Separator
ValueCountFrequency (%)
3530
100.0%
Other Symbol
ValueCountFrequency (%)
259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11737
73.2%
Common 4120
 
25.7%
Latin 180
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1146
 
9.8%
1144
 
9.7%
1139
 
9.7%
970
 
8.3%
952
 
8.1%
937
 
8.0%
337
 
2.9%
259
 
2.2%
231
 
2.0%
226
 
1.9%
Other values (368) 4396
37.5%
Latin
ValueCountFrequency (%)
S 39
21.7%
E 21
11.7%
C 17
 
9.4%
K 14
 
7.8%
N 8
 
4.4%
J 7
 
3.9%
O 6
 
3.3%
L 6
 
3.3%
Y 6
 
3.3%
A 5
 
2.8%
Other values (22) 51
28.3%
Common
ValueCountFrequency (%)
3530
85.7%
1 192
 
4.7%
2 128
 
3.1%
3 64
 
1.6%
( 37
 
0.9%
) 37
 
0.9%
5 26
 
0.6%
4 23
 
0.6%
6 21
 
0.5%
- 18
 
0.4%
Other values (9) 44
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11478
71.6%
ASCII 4300
 
26.8%
None 259
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3530
82.1%
1 192
 
4.5%
2 128
 
3.0%
3 64
 
1.5%
S 39
 
0.9%
( 37
 
0.9%
) 37
 
0.9%
5 26
 
0.6%
4 23
 
0.5%
6 21
 
0.5%
Other values (41) 203
 
4.7%
Hangul
ValueCountFrequency (%)
1146
 
10.0%
1144
 
10.0%
1139
 
9.9%
970
 
8.5%
952
 
8.3%
937
 
8.2%
337
 
2.9%
231
 
2.0%
226
 
2.0%
162
 
1.4%
Other values (367) 4234
36.9%
None
ValueCountFrequency (%)
259
100.0%

상호
Text

MISSING 

Distinct744
Distinct (%)80.7%
Missing331
Missing (%)26.4%
Memory size9.9 KiB
2024-03-13T20:51:05.774042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length9.4533623
Min length3

Characters and Unicode

Total characters8716
Distinct characters369
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique649 ?
Unique (%)70.4%

Sample

1st row 한국중부발전㈜
2nd row ㈜일산태양광
3rd row ㈜일산태양광
4th row 태안솔라팜㈜
5th row ㈜원텍코리아
ValueCountFrequency (%)
한국농어촌공사 58
 
5.7%
케이솔라일호㈜ 12
 
1.2%
아산지사 10
 
1.0%
㈜아산그린에너지 10
 
1.0%
티엠솔라원㈜ 7
 
0.7%
태양광발전소 7
 
0.7%
공주지사 6
 
0.6%
서산태안지사 6
 
0.6%
㈜썬솔라에너지 6
 
0.6%
홍성지사 6
 
0.6%
Other values (740) 886
87.4%
2024-03-13T20:51:06.228714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1821
20.9%
773
 
8.9%
344
 
3.9%
323
 
3.7%
230
 
2.6%
196
 
2.2%
189
 
2.2%
186
 
2.1%
179
 
2.1%
174
 
2.0%
Other values (359) 4301
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5820
66.8%
Space Separator 1821
 
20.9%
Other Symbol 773
 
8.9%
Decimal Number 127
 
1.5%
Close Punctuation 75
 
0.9%
Open Punctuation 75
 
0.9%
Uppercase Letter 21
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
344
 
5.9%
323
 
5.5%
230
 
4.0%
196
 
3.4%
189
 
3.2%
186
 
3.2%
179
 
3.1%
174
 
3.0%
170
 
2.9%
154
 
2.6%
Other values (335) 3675
63.1%
Decimal Number
ValueCountFrequency (%)
1 39
30.7%
2 30
23.6%
3 16
12.6%
4 9
 
7.1%
6 8
 
6.3%
5 7
 
5.5%
7 7
 
5.5%
0 7
 
5.5%
8 3
 
2.4%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 5
23.8%
K 4
19.0%
O 3
14.3%
F 2
 
9.5%
P 2
 
9.5%
E 2
 
9.5%
B 1
 
4.8%
I 1
 
4.8%
S 1
 
4.8%
Space Separator
ValueCountFrequency (%)
1821
100.0%
Other Symbol
ValueCountFrequency (%)
773
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6583
75.5%
Common 2102
 
24.1%
Latin 21
 
0.2%
Han 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
773
 
11.7%
344
 
5.2%
323
 
4.9%
230
 
3.5%
196
 
3.0%
189
 
2.9%
186
 
2.8%
179
 
2.7%
174
 
2.6%
170
 
2.6%
Other values (326) 3819
58.0%
Common
ValueCountFrequency (%)
1821
86.6%
) 75
 
3.6%
( 75
 
3.6%
1 39
 
1.9%
2 30
 
1.4%
3 16
 
0.8%
4 9
 
0.4%
6 8
 
0.4%
5 7
 
0.3%
7 7
 
0.3%
Other values (4) 15
 
0.7%
Han
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Latin
ValueCountFrequency (%)
C 5
23.8%
K 4
19.0%
O 3
14.3%
F 2
 
9.5%
P 2
 
9.5%
E 2
 
9.5%
B 1
 
4.8%
I 1
 
4.8%
S 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5810
66.7%
ASCII 2123
 
24.4%
None 773
 
8.9%
CJK 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1821
85.8%
) 75
 
3.5%
( 75
 
3.5%
1 39
 
1.8%
2 30
 
1.4%
3 16
 
0.8%
4 9
 
0.4%
6 8
 
0.4%
5 7
 
0.3%
7 7
 
0.3%
Other values (13) 36
 
1.7%
None
ValueCountFrequency (%)
773
100.0%
Hangul
ValueCountFrequency (%)
344
 
5.9%
323
 
5.6%
230
 
4.0%
196
 
3.4%
189
 
3.3%
186
 
3.2%
179
 
3.1%
174
 
3.0%
170
 
2.9%
154
 
2.7%
Other values (325) 3665
63.1%
CJK
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Distinct1074
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2024-03-13T20:51:06.584971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length189
Median length124
Mean length29.39984
Min length13

Characters and Unicode

Total characters36838
Distinct characters244
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique958 ?
Unique (%)76.5%

Sample

1st row 금산군 금성면 상가리 산67-1
2nd row 서천군 서면 마량리 313-2
3rd row 태안군 소원면 신덕리 산197
4th row 태안군 소원면 신덕리 170-9
5th row 태안군 소원면 소근리 산29-1
ValueCountFrequency (%)
태안군 177
 
2.5%
서산시 163
 
2.3%
부여군 128
 
1.8%
당진시 107
 
1.5%
홍성군 96
 
1.4%
보령시 95
 
1.4%
공주시 95
 
1.4%
금산군 83
 
1.2%
천안시 81
 
1.2%
아산시 71
 
1.0%
Other values (2868) 5850
84.2%
2024-03-13T20:51:07.216246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6846
18.6%
1 2328
 
6.3%
- 2099
 
5.7%
, 1715
 
4.7%
2 1524
 
4.1%
3 1257
 
3.4%
1255
 
3.4%
1219
 
3.3%
4 1189
 
3.2%
1064
 
2.9%
Other values (234) 16342
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13659
37.1%
Decimal Number 11422
31.0%
Space Separator 6846
18.6%
Dash Punctuation 2099
 
5.7%
Other Punctuation 1734
 
4.7%
Open Punctuation 539
 
1.5%
Close Punctuation 539
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1255
 
9.2%
1219
 
8.9%
1064
 
7.8%
772
 
5.7%
675
 
4.9%
640
 
4.7%
602
 
4.4%
329
 
2.4%
263
 
1.9%
247
 
1.8%
Other values (217) 6593
48.3%
Decimal Number
ValueCountFrequency (%)
1 2328
20.4%
2 1524
13.3%
3 1257
11.0%
4 1189
10.4%
6 983
8.6%
5 975
8.5%
7 882
 
7.7%
8 837
 
7.3%
9 739
 
6.5%
0 708
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 1715
98.9%
/ 14
 
0.8%
. 5
 
0.3%
Space Separator
ValueCountFrequency (%)
6846
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2099
100.0%
Open Punctuation
ValueCountFrequency (%)
( 539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 539
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23179
62.9%
Hangul 13659
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1255
 
9.2%
1219
 
8.9%
1064
 
7.8%
772
 
5.7%
675
 
4.9%
640
 
4.7%
602
 
4.4%
329
 
2.4%
263
 
1.9%
247
 
1.8%
Other values (217) 6593
48.3%
Common
ValueCountFrequency (%)
6846
29.5%
1 2328
 
10.0%
- 2099
 
9.1%
, 1715
 
7.4%
2 1524
 
6.6%
3 1257
 
5.4%
4 1189
 
5.1%
6 983
 
4.2%
5 975
 
4.2%
7 882
 
3.8%
Other values (7) 3381
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23179
62.9%
Hangul 13659
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6846
29.5%
1 2328
 
10.0%
- 2099
 
9.1%
, 1715
 
7.4%
2 1524
 
6.6%
3 1257
 
5.4%
4 1189
 
5.1%
6 983
 
4.2%
5 975
 
4.2%
7 882
 
3.8%
Other values (7) 3381
14.6%
Hangul
ValueCountFrequency (%)
1255
 
9.2%
1219
 
8.9%
1064
 
7.8%
772
 
5.7%
675
 
4.9%
640
 
4.7%
602
 
4.4%
329
 
2.4%
263
 
1.9%
247
 
1.8%
Other values (217) 6593
48.3%
Distinct505
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
Minimum2007-02-02 00:00:00
Maximum2021-07-26 00:00:00
2024-03-13T20:51:07.367592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:51:07.566090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct535
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1198.4858
Minimum499.5
Maximum3004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.1 KiB
2024-03-13T20:51:07.730605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum499.5
5-th percentile600
Q1981.18
median997.92
Q3999.75
95-th percentile2652.858
Maximum3004
Range2504.5
Interquartile range (IQR)18.57

Descriptive statistics

Standard deviation586.32569
Coefficient of variation (CV)0.48922204
Kurtosis2.2357285
Mean1198.4858
Median Absolute Deviation (MAD)9
Skewness1.7555603
Sum1501702.8
Variance343777.82
MonotonicityNot monotonic
2024-03-13T20:51:07.910668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
997.92 131
 
10.5%
998.4 53
 
4.2%
999.0 51
 
4.1%
997.56 39
 
3.1%
999.6 27
 
2.2%
994.95 22
 
1.8%
993.6 21
 
1.7%
998.64 19
 
1.5%
996.48 17
 
1.4%
990.0 13
 
1.0%
Other values (525) 860
68.6%
ValueCountFrequency (%)
499.5 1
 
0.1%
500.85 1
 
0.1%
501.6 1
 
0.1%
503.2 1
 
0.1%
505.44 1
 
0.1%
505.6 2
 
0.2%
506.16 1
 
0.1%
507.0 10
0.8%
509.18 1
 
0.1%
510.0 1
 
0.1%
ValueCountFrequency (%)
3004.0 1
 
0.1%
3000.0 2
 
0.2%
2999.76 5
0.4%
2999.2 1
 
0.1%
2999.0 1
 
0.1%
2998.8 1
 
0.1%
2997.0 5
0.4%
2995.92 2
 
0.2%
2995.47 2
 
0.2%
2995.2 4
0.3%

원동력
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
태양광
1236 
폐기물
 
7
바이오
 
6
풍력
 
2
소수력
 
1

Length

Max length4
Median length3
Mean length2.9992019
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 1236
98.6%
폐기물 7
 
0.6%
바이오 6
 
0.5%
풍력 2
 
0.2%
소수력 1
 
0.1%
조류발전 1
 
0.1%

Length

2024-03-13T20:51:08.085570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:51:08.553911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 1236
98.6%
폐기물 7
 
0.6%
바이오 6
 
0.5%
풍력 2
 
0.2%
소수력 1
 
0.1%
조류발전 1
 
0.1%

Interactions

2024-03-13T20:51:03.144250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:51:08.640814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가용량(키로와트)원동력
허가용량(키로와트)1.0000.158
원동력0.1581.000
2024-03-13T20:51:08.742493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가용량(키로와트)원동력
허가용량(키로와트)1.0000.083
원동력0.0831.000

Missing values

2024-03-13T20:51:03.354181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:51:03.516725image/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

허가번호발전소명상호설치장소사업허가일자허가용량(키로와트)원동력
022금성<NA>금산군 금성면 상가리 산67-12007-02-021000.0태양광
129서천화력 태양광한국중부발전㈜서천군 서면 마량리 313-22007-02-211200.0태양광
263일산 1호㈜일산태양광태안군 소원면 신덕리 산1972007-11-151000.0태양광
364일산 2호㈜일산태양광태안군 소원면 신덕리 170-92007-11-151000.0태양광
4132태안솔라팜태안솔라팜㈜태안군 소원면 소근리 산29-12008-03-121614.0태양광
5167사산리㈜원텍코리아부여군 세도면 사산리 568-12008-05-09999.0태양광
6178영일<NA>천안시 수신면 백자리 산362008-06-171000.0태양광
7261조양1호<NA>보령시 청라면 장현리 961-31외 42008-12-31800.0태양광
8362제이원에너지㈜공주1제이원에너지㈜공주시 우성면 반촌리 산12외4필지2009-08-05992.0태양광
9381㈜제이피㈜제이피태양광공주시 정안면 전평리 109-20 (산6-1)2009-09-17992.8태양광
허가번호발전소명상호설치장소사업허가일자허가용량(키로와트)원동력
12432021-53송산태양광4호발전소㈜송산태양광4호발전소당진시 송산면 동곡리 2-55, 2-56, 2-57, 2-58, 2-59, 2-60, 2-62, 2-63, 2-64, 2-65, 2-66 (11필지) / 부지 위2021-07-072982.36태양광
12442021-54송산태양광5호발전소㈜송산태양광5호발전소당진시 송산면 동곡리 2-261, 2-262, 2-263, 2-264, 2-265, 2-266, 2-267, 2-268, 2-269, 2-270 (10필지) / 부지 위2021-07-072999.76태양광
12452021-55송산태양광8호발전소㈜송산태양광8호발전소당진시 송산면 유곡리 1-221, 1-222, 1-223, 1-243, 1-244, 1-245, 1-246 (7필지) / 부지 위2021-07-072499.51태양광
12462021-56송산태양광10호발전소㈜송산태양광10호발전소당진시 송산면 유곡리 1-50, 1-69, 1-70, 1-71, 1-72, 1-73, 1-74 (7필지) / 부지 위2021-07-072700.48태양광
12472021-57우성에너지 태양광발전소㈜우성에너지서산시 음암면 신장리 744-44 (1필지) / 건물 위2021-07-211980.0태양광
12482021-58송산태양광2호발전소㈜송산태양광2호발전소당진시 송산면 동곡리 2-95, 2-206, 2-207, 2-212, 2-213, 2-214 (6필지) / 부지 위2021-07-262499.51태양광
12492021-59송산태양광6호발전소㈜송산태양광6호발전소당진시 송산면 동곡리 2-271, 2-272, 2-443, 2-444, 유곡리 1-26, 1-27, 1-671 (7필지) / 부지 위2021-07-262999.76태양광
12502021-60송산태양광7호발전소㈜송산태양광7호발전소당진시 송산면 유곡리 1-30, 1-31, 1-32, 1-33, 1-51, 1-52, 1-53, 1-54, 1-55, 동곡리 2-445 (10필지) / 부지 위2021-07-262999.76태양광
12512021-61송산태양광11호발전소㈜송산태양광11호발전소당진시 송산면 동곡리 2-67, 2-68, 2-88, 2-89, 2-90, 2-91, 2-117, 2-118, 2-119, 2-120 (10필지) / 부지 위2021-07-262999.76태양광
12522021-62송산태양광12호발전소㈜송산태양광12호발전소당진시 송산면 동곡리 2-96, 2-97, 2-98, 2-99, 2-100 (5필지) / 부지 위2021-07-262199.36태양광