Overview

Dataset statistics

Number of variables11
Number of observations1452
Missing cells306
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory132.0 KiB
Average record size in memory93.1 B

Variable types

Numeric3
Text2
Categorical5
DateTime1

Alerts

공급주파수 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 설치연도High correlation
설치연도 is highly overall correlated with 순번High correlation
공급전압 is highly imbalanced (95.8%)Imbalance
설치연도 has 306 (21.1%) missing valuesMissing
설비용량 is highly skewed (γ1 = 21.86582794)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:51:17.074798
Analysis finished2024-01-09 21:51:18.614972
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1452
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean726.5
Minimum1
Maximum1452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-01-10T06:51:18.670127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile73.55
Q1363.75
median726.5
Q31089.25
95-th percentile1379.45
Maximum1452
Range1451
Interquartile range (IQR)725.5

Descriptive statistics

Standard deviation419.30061
Coefficient of variation (CV)0.57715156
Kurtosis-1.2
Mean726.5
Median Absolute Deviation (MAD)363
Skewness0
Sum1054878
Variance175813
MonotonicityStrictly increasing
2024-01-10T06:51:18.776751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
977 1
 
0.1%
975 1
 
0.1%
974 1
 
0.1%
973 1
 
0.1%
972 1
 
0.1%
971 1
 
0.1%
970 1
 
0.1%
969 1
 
0.1%
968 1
 
0.1%
Other values (1442) 1442
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 (%)
1452 1
0.1%
1451 1
0.1%
1450 1
0.1%
1449 1
0.1%
1448 1
0.1%
1447 1
0.1%
1446 1
0.1%
1445 1
0.1%
1444 1
0.1%
1443 1
0.1%

상호명
Text

Distinct1365
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2024-01-10T06:51:18.993314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length9.6253444
Min length2

Characters and Unicode

Total characters13976
Distinct characters388
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

Unique1290 ?
Unique (%)88.8%

Sample

1st row 조비 태양광발전소
2nd row 내량 태양광발전소
3rd row 형제 태양광발전소
4th row 송이Ⅱ 태양광발전소
5th row 송석 태양광발전소
ValueCountFrequency (%)
태양광발전소 108
 
6.8%
ewk 6
 
0.4%
예산태양광발전소 4
 
0.3%
행복태양광발전소 4
 
0.3%
대흥태양광발전소 3
 
0.2%
용동태양광발전소 3
 
0.2%
선경태양광발전소 3
 
0.2%
희승태양광발전소 3
 
0.2%
선진태양광발전소 3
 
0.2%
유성태양광발전소 3
 
0.2%
Other values (1368) 1449
91.2%
2024-01-10T06:51:19.305975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1401
 
10.0%
전 1390
 
9.9%
발 1380
 
9.9%
광 1371
 
9.8%
양 1369
 
9.8%
태 1353
 
9.7%
호 592
 
4.2%
416
 
3.0%
1 244
 
1.7%
2 235
 
1.7%
Other values (378) 4225
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12653
90.5%
Decimal Number 754
 
5.4%
Space Separator 416
 
3.0%
Uppercase Letter 79
 
0.6%
Open Punctuation 20
 
0.1%
Close Punctuation 20
 
0.1%
Lowercase Letter 13
 
0.1%
Other Symbol 12
 
0.1%
Dash Punctuation 5
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1401
11.1%
전 1390
11.0%
발 1380
10.9%
광 1371
10.8%
양 1369
 
10.8%
태 1353
 
10.7%
호 592
 
4.7%
산 138
 
1.1%
지 130
 
1.0%
리 104
 
0.8%
Other values (333) 3425
27.1%
Uppercase Letter
ValueCountFrequency (%)
K 13
16.5%
H 10
12.7%
S 9
11.4%
E 8
10.1%
Y 6
7.6%
W 6
7.6%
J 5
 
6.3%
M 4
 
5.1%
D 3
 
3.8%
O 3
 
3.8%
Other values (10) 12
15.2%
Decimal Number
ValueCountFrequency (%)
1 244
32.4%
2 235
31.2%
3 113
15.0%
4 54
 
7.2%
5 36
 
4.8%
6 22
 
2.9%
7 17
 
2.3%
8 14
 
1.9%
9 10
 
1.3%
0 9
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
o 3
23.1%
r 2
15.4%
n 1
 
7.7%
s 1
 
7.7%
a 1
 
7.7%
u 1
 
7.7%
l 1
 
7.7%
Space Separator
ValueCountFrequency (%)
416
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12665
90.6%
Common 1216
 
8.7%
Latin 95
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1401
11.1%
전 1390
11.0%
발 1380
10.9%
광 1371
 
10.8%
양 1369
 
10.8%
태 1353
 
10.7%
호 592
 
4.7%
산 138
 
1.1%
지 130
 
1.0%
리 104
 
0.8%
Other values (334) 3437
27.1%
Latin
ValueCountFrequency (%)
K 13
13.7%
H 10
 
10.5%
S 9
 
9.5%
E 8
 
8.4%
Y 6
 
6.3%
W 6
 
6.3%
J 5
 
5.3%
M 4
 
4.2%
D 3
 
3.2%
Ⅱ 3
 
3.2%
Other values (19) 28
29.5%
Common
ValueCountFrequency (%)
416
34.2%
1 244
20.1%
2 235
19.3%
3 113
 
9.3%
4 54
 
4.4%
5 36
 
3.0%
6 22
 
1.8%
( 20
 
1.6%
) 20
 
1.6%
7 17
 
1.4%
Other values (5) 39
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12653
90.5%
ASCII 1308
 
9.4%
None 12
 
0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1401
11.1%
전 1390
11.0%
발 1380
10.9%
광 1371
10.8%
양 1369
 
10.8%
태 1353
 
10.7%
호 592
 
4.7%
산 138
 
1.1%
지 130
 
1.0%
리 104
 
0.8%
Other values (333) 3425
27.1%
ASCII
ValueCountFrequency (%)
416
31.8%
1 244
18.7%
2 235
18.0%
3 113
 
8.6%
4 54
 
4.1%
5 36
 
2.8%
6 22
 
1.7%
( 20
 
1.5%
) 20
 
1.5%
7 17
 
1.3%
Other values (33) 131
 
10.0%
None
ValueCountFrequency (%)
㈜ 12
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

설치장소
Text

Distinct1095
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2024-01-10T06:51:19.639590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length16.809229
Min length2

Characters and Unicode

Total characters24407
Distinct characters175
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique910 ?
Unique (%)62.7%

Sample

1st row 예산군 신암면 예림리 134(1필지)
2nd row 예산군 오가면 내량리 1-228(5필지)
3rd row 예산군 예산읍 형제고개로 957
4th row 예산군 오가면 원평리 603-1
5th row 예산군 대술면 송석백제울길 57
ValueCountFrequency (%)
예산군 267
 
5.0%
대술면 165
 
3.1%
신암면 158
 
3.0%
삽교읍 152
 
2.9%
봉산면 148
 
2.8%
오가면 140
 
2.6%
고덕면 138
 
2.6%
신양면 129
 
2.4%
대흥면 95
 
1.8%
광시면 87
 
1.6%
Other values (1492) 3835
72.2%
2024-01-10T06:51:20.070873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4161
17.0%
1 1610
 
6.6%
- 1376
 
5.6%
리 1364
 
5.6%
면 1224
 
5.0%
2 1119
 
4.6%
3 931
 
3.8%
산 823
 
3.4%
4 812
 
3.3%
, 708
 
2.9%
Other values (165) 10279
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10196
41.8%
Decimal Number 7613
31.2%
Space Separator 4161
17.0%
Dash Punctuation 1376
 
5.6%
Other Punctuation 708
 
2.9%
Close Punctuation 175
 
0.7%
Open Punctuation 175
 
0.7%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1364
 
13.4%
면 1224
 
12.0%
산 823
 
8.1%
신 435
 
4.3%
예 364
 
3.6%
대 316
 
3.1%
군 269
 
2.6%
덕 252
 
2.5%
동 251
 
2.5%
봉 248
 
2.4%
Other values (147) 4650
45.6%
Decimal Number
ValueCountFrequency (%)
1 1610
21.1%
2 1119
14.7%
3 931
12.2%
4 812
10.7%
5 649
8.5%
8 571
 
7.5%
6 531
 
7.0%
0 502
 
6.6%
7 463
 
6.1%
9 425
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
D 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
4161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1376
100.0%
Other Punctuation
ValueCountFrequency (%)
, 708
100.0%
Close Punctuation
ValueCountFrequency (%)
) 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14208
58.2%
Hangul 10196
41.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1364
 
13.4%
면 1224
 
12.0%
산 823
 
8.1%
신 435
 
4.3%
예 364
 
3.6%
대 316
 
3.1%
군 269
 
2.6%
덕 252
 
2.5%
동 251
 
2.5%
봉 248
 
2.4%
Other values (147) 4650
45.6%
Common
ValueCountFrequency (%)
4161
29.3%
1 1610
 
11.3%
- 1376
 
9.7%
2 1119
 
7.9%
3 931
 
6.6%
4 812
 
5.7%
, 708
 
5.0%
5 649
 
4.6%
8 571
 
4.0%
6 531
 
3.7%
Other values (5) 1740
12.2%
Latin
ValueCountFrequency (%)
A 1
33.3%
D 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14211
58.2%
Hangul 10196
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4161
29.3%
1 1610
 
11.3%
- 1376
 
9.7%
2 1119
 
7.9%
3 931
 
6.6%
4 812
 
5.7%
, 708
 
5.0%
5 649
 
4.6%
8 571
 
4.0%
6 531
 
3.7%
Other values (8) 1743
12.3%
Hangul
ValueCountFrequency (%)
리 1364
 
13.4%
면 1224
 
12.0%
산 823
 
8.1%
신 435
 
4.3%
예 364
 
3.6%
대 316
 
3.1%
군 269
 
2.6%
덕 252
 
2.5%
동 251
 
2.5%
봉 248
 
2.4%
Other values (147) 4650
45.6%

설치대상
Categorical

Distinct17
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
건물
524 
토지
455 
토지위
142 
건물(진흥)
103 
토지위
 
50
Other values (12)
178 

Length

Max length8
Median length2
Mean length2.7059229
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row 토지위
2nd row 건물
3rd row 건물
4th row 건물
5th row 토지위

Common Values

ValueCountFrequency (%)
건물 524
36.1%
토지 455
31.3%
토지위 142
 
9.8%
건물(진흥) 103
 
7.1%
토지위 50
 
3.4%
<NA> 49
 
3.4%
건물 49
 
3.4%
건물위 39
 
2.7%
건물,토지 14
 
1.0%
부지 10
 
0.7%
Other values (7) 17
 
1.2%

Length

2024-01-10T06:51:20.182882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건물 578
39.8%
토지 460
31.7%
토지위 192
 
13.2%
건물(진흥 103
 
7.1%
na 49
 
3.4%
건물위 39
 
2.7%
건물,토지 14
 
1.0%
부지 10
 
0.7%
건물,토지위 4
 
0.3%
토지,건물 2
 
0.1%
Other values (2) 2
 
0.1%

허가일자
Date

Distinct429
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2014-02-01 00:00:00
Maximum2023-08-02 00:00:00
2024-01-10T06:51:20.275647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:20.382904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설비용량
Real number (ℝ)

SKEWED 

Distinct478
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.63479
Minimum9.18
Maximum44756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-01-10T06:51:20.489007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.18
5-th percentile19.8
Q196
median99
Q399.84
95-th percentile309.726
Maximum44756
Range44746.82
Interquartile range (IQR)3.84

Descriptive statistics

Standard deviation2030.416
Coefficient of variation (CV)9.7319147
Kurtosis478.05219
Mean208.63479
Median Absolute Deviation (MAD)0.99
Skewness21.865828
Sum302937.71
Variance4122589
MonotonicityNot monotonic
2024-01-10T06:51:20.592444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 121
 
8.3%
99.84 50
 
3.4%
99.96 47
 
3.2%
97.92 42
 
2.9%
99.6 41
 
2.8%
98.55 37
 
2.5%
99.9 36
 
2.5%
99.71 31
 
2.1%
99.45 30
 
2.1%
99.36 28
 
1.9%
Other values (468) 989
68.1%
ValueCountFrequency (%)
9.18 1
 
0.1%
9.24 1
 
0.1%
9.6 1
 
0.1%
10.0 1
 
0.1%
10.065 1
 
0.1%
10.4 1
 
0.1%
10.8 1
 
0.1%
10.92 1
 
0.1%
11.235 1
 
0.1%
12.0 3
0.2%
ValueCountFrequency (%)
44756.0 3
0.2%
999.0 1
 
0.1%
997.92 1
 
0.1%
996.0 1
 
0.1%
993.24 1
 
0.1%
955.5 1
 
0.1%
953.68 1
 
0.1%
829.44 1
 
0.1%
698.88 1
 
0.1%
614.25 1
 
0.1%

가동상태
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
정상가동
1139 
가동중단
313 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상가동 1139
78.4%
가동중단 313
 
21.6%

Length

2024-01-10T06:51:20.692612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:51:20.767180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상가동 1139
78.4%
가동중단 313
 
21.6%

공급전압
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
380
1442 
22900
 
6
220
 
4

Length

Max length5
Median length3
Mean length3.0082645
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
380 1442
99.3%
22900 6
 
0.4%
220 4
 
0.3%

Length

2024-01-10T06:51:20.855153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:51:20.939397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 1442
99.3%
22900 6
 
0.4%
220 4
 
0.3%

공급주파수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
60
1452 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
60 1452
100.0%

Length

2024-01-10T06:51:21.016588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:51:21.096958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1452
100.0%

설치연도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)0.9%
Missing306
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean2019.9991
Minimum2014
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-01-10T06:51:21.162117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2016
Q12019
median2020
Q32022
95-th percentile2023
Maximum2023
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1044762
Coefficient of variation (CV)0.0010418204
Kurtosis0.071583886
Mean2019.9991
Median Absolute Deviation (MAD)1
Skewness-0.4370271
Sum2314919
Variance4.4288202
MonotonicityNot monotonic
2024-01-10T06:51:21.255594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2019 276
19.0%
2020 197
13.6%
2023 191
13.2%
2021 144
9.9%
2018 124
8.5%
2022 116
 
8.0%
2017 31
 
2.1%
2015 29
 
2.0%
2016 20
 
1.4%
2014 18
 
1.2%
(Missing) 306
21.1%
ValueCountFrequency (%)
2014 18
 
1.2%
2015 29
 
2.0%
2016 20
 
1.4%
2017 31
 
2.1%
2018 124
8.5%
2019 276
19.0%
2020 197
13.6%
2021 144
9.9%
2022 116
8.0%
2023 191
13.2%
ValueCountFrequency (%)
2023 191
13.2%
2022 116
8.0%
2021 144
9.9%
2020 197
13.6%
2019 276
19.0%
2018 124
8.5%
2017 31
 
2.1%
2016 20
 
1.4%
2015 29
 
2.0%
2014 18
 
1.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2023-12-13
1452 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-13
2nd row2023-12-13
3rd row2023-12-13
4th row2023-12-13
5th row2023-12-13

Common Values

ValueCountFrequency (%)
2023-12-13 1452
100.0%

Length

2024-01-10T06:51:21.371134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:51:21.466124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-13 1452
100.0%

Interactions

2024-01-10T06:51:18.198860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:17.763601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:17.987721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:18.279132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:17.839130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:18.061763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:18.350093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:17.913527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:51:18.129335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:51:21.530448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설치대상설비용량가동상태공급전압설치연도
순번1.0000.7880.1460.2910.2270.854
설치대상0.7881.0000.0000.3200.0000.761
설비용량0.1460.0001.0000.0270.0000.026
가동상태0.2910.3200.0271.0000.0600.000
공급전압0.2270.0000.0000.0601.0000.049
설치연도0.8540.7610.0260.0000.0491.000
2024-01-10T06:51:21.633960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가동상태공급전압설치대상
가동상태1.0000.0990.250
공급전압0.0991.0000.000
설치대상0.2500.0001.000
2024-01-10T06:51:21.725851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량설치연도설치대상가동상태공급전압
순번1.000-0.0300.9430.4570.2220.138
설비용량-0.0301.0000.0270.0000.0170.000
설치연도0.9430.0271.0000.4140.0000.041
설치대상0.4570.0000.4141.0000.2500.000
가동상태0.2220.0170.0000.2501.0000.099
공급전압0.1380.0000.0410.0000.0991.000

Missing values

2024-01-10T06:51:18.446898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:51:18.566936image/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

순번상호명설치장소설치대상허가일자설비용량가동상태공급전압공급주파수설치연도데이터기준일자
01조비 태양광발전소예산군 신암면 예림리 134(1필지)토지위2014-02-0130.0정상가동3806020142023-12-13
12내량 태양광발전소예산군 오가면 내량리 1-228(5필지)건물2014-02-2099.0정상가동3806020142023-12-13
23형제 태양광발전소예산군 예산읍 형제고개로 957건물2014-02-2029.16정상가동3806020142023-12-13
34송이Ⅱ 태양광발전소예산군 오가면 원평리 603-1건물2014-03-1948.6정상가동3806020142023-12-13
45송석 태양광발전소예산군 대술면 송석백제울길 57토지위2014-05-2715.0정상가동3806020142023-12-13
56선정 태양광발전소예산군 삽교읍 상하리 318-4건물2014-06-0599.0정상가동3806020142023-12-13
67서내 태양광발전소예산군 고덕면 용리 1347-7건물2014-06-0520.0정상가동3806020142023-12-13
78한별 태양광발전소예산군 신암면 예림리 134-1토지위2014-06-2449.4정상가동3806020142023-12-13
89덕산 태양광발전소예산군 삽교읍 충의로 156건물2014-07-0850.0정상가동3806020152023-12-13
910신기호 태양광발전소예산군 신암면 조곡리 38-14<NA>2014-07-0849.5가동중단38060<NA>2023-12-13
순번상호명설치장소설치대상허가일자설비용량가동상태공급전압공급주파수설치연도데이터기준일자
14421443디에스쏠라7호태양광발전소오가면 원평리 156-5건물2023-06-2850.575가동중단38060<NA>2023-12-13
14431444경남발전소신암면 오산리 3-18건물2023-06-2899.96정상가동3806020232023-12-13
14441445경남1호태양광발전소신암면 오산리 3-10, 3-12건물2023-06-2839.865정상가동3806020232023-12-13
14451446경남2호태양광발전소신암면 오산리 3-10, 3-12건물2023-06-2899.96정상가동3806020232023-12-13
14461447경남3호태양광발전소신암면 오산리 3-18건물2023-06-2819.635정상가동3806020232023-12-13
14471448성진에너지1호삽교읍 두리 479-4부지2023-06-2899.0정상가동3806020232023-12-13
14481449성진에너지2호삽교읍 두리 479-4부지2023-06-2899.0정상가동3806020232023-12-13
14491450에이치피에너지6호태양광발전소고덕면 몽곡리 1016, 1017건물2023-07-1398.175가동중단38060<NA>2023-12-13
14501451에이치피에너지7호태양광발전소고덕면 몽곡리 1016, 1017건물2023-07-1395.2가동중단38060<NA>2023-12-13
14511452영광태양광발전소광시면 시목리 592-1부지2023-08-0219.2정상가동3806020232023-12-13