Overview

Dataset statistics

Number of variables12
Number of observations259
Missing cells27
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.7 KiB
Average record size in memory101.5 B

Variable types

Text3
Categorical5
Numeric2
DateTime2

Dataset

Description충청북도 진천군 태양광발전소 현황 정보를 발전소 별로 발전소명, 설치장소, 설비용량, 허가일자, 사업개시일을 보여줌.
Author충청북도 진천군
URLhttps://www.data.go.kr/data/15043321/fileData.do

Alerts

가동상태구분명 has constant value ""Constant
주파수 has constant value ""Constant
허가기관 has constant value ""Constant
데이터기준일자 has constant value ""Constant
설비용량 is highly overall correlated with 설치면적 and 1 other fieldsHigh correlation
설치면적 is highly overall correlated with 설비용량 and 1 other fieldsHigh correlation
공급전압 is highly overall correlated with 설비용량 and 1 other fieldsHigh correlation
공급전압 is highly imbalanced (96.3%)Imbalance
소재지도로명주소 has 27 (10.4%) missing valuesMissing

Reproduction

Analysis started2024-03-16 04:15:47.282248
Analysis finished2024-03-16 04:15:48.859755
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

태양광발전시설명
Text

Distinct258
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-16T13:15:49.423316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length11.108108
Min length6

Characters and Unicode

Total characters2877
Distinct characters185
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)99.2%

Sample

1st row전원산업2호 태양광발전소
2nd row전원산업3호 태양광발전소
3rd row전원산업4호 태양광발전소
4th row한별1호 태양광발전소
5th row한별2호 태양광발전소
ValueCountFrequency (%)
태양광발전소 245
45.2%
발전소 8
 
1.5%
2호기 6
 
1.1%
3호기 5
 
0.9%
2호 4
 
0.7%
칠성 4
 
0.7%
yk팜 3
 
0.6%
기영 3
 
0.6%
양산696 3
 
0.6%
토마루 2
 
0.4%
Other values (252) 259
47.8%
2024-03-16T13:15:50.459128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
 
9.8%
태 260
 
9.0%
전 260
 
9.0%
양 258
 
9.0%
소 256
 
8.9%
발 255
 
8.9%
광 251
 
8.7%
호 177
 
6.2%
2 68
 
2.4%
1 57
 
2.0%
Other values (175) 752
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2369
82.3%
Space Separator 283
 
9.8%
Decimal Number 212
 
7.4%
Uppercase Letter 12
 
0.4%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
태 260
11.0%
전 260
11.0%
양 258
10.9%
소 256
10.8%
발 255
10.8%
광 251
10.6%
호 177
 
7.5%
기 25
 
1.1%
원 25
 
1.1%
성 24
 
1.0%
Other values (159) 578
24.4%
Decimal Number
ValueCountFrequency (%)
2 68
32.1%
1 57
26.9%
3 41
19.3%
4 17
 
8.0%
5 11
 
5.2%
6 9
 
4.2%
9 5
 
2.4%
7 3
 
1.4%
0 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
Y 3
25.0%
K 3
25.0%
P 2
16.7%
O 2
16.7%
T 2
16.7%
Space Separator
ValueCountFrequency (%)
283
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2370
82.4%
Common 495
 
17.2%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
태 260
11.0%
전 260
11.0%
양 258
10.9%
소 256
10.8%
발 255
10.8%
광 251
10.6%
호 177
 
7.5%
기 25
 
1.1%
원 25
 
1.1%
성 24
 
1.0%
Other values (160) 579
24.4%
Common
ValueCountFrequency (%)
283
57.2%
2 68
 
13.7%
1 57
 
11.5%
3 41
 
8.3%
4 17
 
3.4%
5 11
 
2.2%
6 9
 
1.8%
9 5
 
1.0%
7 3
 
0.6%
0 1
 
0.2%
Latin
ValueCountFrequency (%)
Y 3
25.0%
K 3
25.0%
P 2
16.7%
O 2
16.7%
T 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2369
82.3%
ASCII 507
 
17.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
55.8%
2 68
 
13.4%
1 57
 
11.2%
3 41
 
8.1%
4 17
 
3.4%
5 11
 
2.2%
6 9
 
1.8%
9 5
 
1.0%
Y 3
 
0.6%
7 3
 
0.6%
Other values (5) 10
 
2.0%
Hangul
ValueCountFrequency (%)
태 260
11.0%
전 260
11.0%
양 258
10.9%
소 256
10.8%
발 255
10.8%
광 251
10.6%
호 177
 
7.5%
기 25
 
1.1%
원 25
 
1.1%
성 24
 
1.0%
Other values (159) 578
24.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct130
Distinct (%)56.0%
Missing27
Missing (%)10.4%
Memory size2.2 KiB
2024-03-16T13:15:50.836620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length20.24569
Min length13

Characters and Unicode

Total characters4697
Distinct characters94
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)31.9%

Sample

1st row충청북도 진천군 초평면 초평로 283-144
2nd row충청북도 진천군 초평면 초평로 283-144
3rd row충청북도 진천군 진천읍 상신길 169-109
4th row충청북도 진천군 진천읍 상신길 169-109
5th row충청북도 진천군 진천읍 상신길 169-109
ValueCountFrequency (%)
진천군 232
21.5%
충청북도 150
 
13.9%
덕산읍 70
 
6.5%
이월면 55
 
5.1%
초평면 46
 
4.3%
인석로 23
 
2.1%
진천읍 22
 
2.0%
구정로 19
 
1.8%
광혜원면 17
 
1.6%
장수로 15
 
1.4%
Other values (186) 432
40.0%
2024-03-16T13:15:51.440055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
853
 
18.2%
진 273
 
5.8%
천 259
 
5.5%
군 232
 
4.9%
1 178
 
3.8%
도 153
 
3.3%
북 151
 
3.2%
청 150
 
3.2%
충 150
 
3.2%
로 149
 
3.2%
Other values (84) 2149
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2758
58.7%
Decimal Number 937
 
19.9%
Space Separator 853
 
18.2%
Dash Punctuation 145
 
3.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 273
 
9.9%
천 259
 
9.4%
군 232
 
8.4%
도 153
 
5.5%
북 151
 
5.5%
청 150
 
5.4%
충 150
 
5.4%
로 149
 
5.4%
면 140
 
5.1%
산 111
 
4.0%
Other values (71) 990
35.9%
Decimal Number
ValueCountFrequency (%)
1 178
19.0%
3 128
13.7%
4 127
13.6%
2 106
11.3%
6 91
9.7%
8 76
8.1%
9 68
 
7.3%
7 59
 
6.3%
5 56
 
6.0%
0 48
 
5.1%
Space Separator
ValueCountFrequency (%)
853
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2758
58.7%
Common 1939
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 273
 
9.9%
천 259
 
9.4%
군 232
 
8.4%
도 153
 
5.5%
북 151
 
5.5%
청 150
 
5.4%
충 150
 
5.4%
로 149
 
5.4%
면 140
 
5.1%
산 111
 
4.0%
Other values (71) 990
35.9%
Common
ValueCountFrequency (%)
853
44.0%
1 178
 
9.2%
- 145
 
7.5%
3 128
 
6.6%
4 127
 
6.5%
2 106
 
5.5%
6 91
 
4.7%
8 76
 
3.9%
9 68
 
3.5%
7 59
 
3.0%
Other values (3) 108
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2758
58.7%
ASCII 1939
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
853
44.0%
1 178
 
9.2%
- 145
 
7.5%
3 128
 
6.6%
4 127
 
6.5%
2 106
 
5.5%
6 91
 
4.7%
8 76
 
3.9%
9 68
 
3.5%
7 59
 
3.0%
Other values (3) 108
 
5.6%
Hangul
ValueCountFrequency (%)
진 273
 
9.9%
천 259
 
9.4%
군 232
 
8.4%
도 153
 
5.5%
북 151
 
5.5%
청 150
 
5.4%
충 150
 
5.4%
로 149
 
5.4%
면 140
 
5.1%
산 111
 
4.0%
Other values (71) 990
35.9%

소재지지번주소
Text

Distinct162
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-16T13:15:51.997916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length22.69112
Min length13

Characters and Unicode

Total characters5877
Distinct characters82
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)40.5%

Sample

1st row충청북도 진천군 초평면 오갑리 산9-2, 18
2nd row충청북도 진천군 초평면 오갑리 18
3rd row충청북도 진천군 초평면 오갑리 18
4th row충청북도 진천군 초평면 중석리 1718
5th row충청북도 진천군 초평면 중석리 1717
ValueCountFrequency (%)
진천군 259
19.4%
충청북도 173
 
13.0%
덕산읍 74
 
5.5%
이월면 61
 
4.6%
초평면 57
 
4.3%
인산리 36
 
2.7%
신월리 24
 
1.8%
진천읍 23
 
1.7%
문백면 19
 
1.4%
광혜원면 17
 
1.3%
Other values (260) 591
44.3%
2024-03-16T13:15:52.739260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1138
19.4%
진 295
 
5.0%
천 283
 
4.8%
리 259
 
4.4%
군 259
 
4.4%
1 218
 
3.7%
- 199
 
3.4%
3 186
 
3.2%
2 184
 
3.1%
도 174
 
3.0%
Other values (72) 2682
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3047
51.8%
Decimal Number 1366
23.2%
Space Separator 1138
 
19.4%
Dash Punctuation 199
 
3.4%
Other Punctuation 127
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 295
 
9.7%
천 283
 
9.3%
리 259
 
8.5%
군 259
 
8.5%
도 174
 
5.7%
충 173
 
5.7%
청 173
 
5.7%
북 173
 
5.7%
면 161
 
5.3%
산 147
 
4.8%
Other values (59) 950
31.2%
Decimal Number
ValueCountFrequency (%)
1 218
16.0%
3 186
13.6%
2 184
13.5%
5 130
9.5%
6 123
9.0%
9 116
8.5%
8 115
8.4%
0 112
8.2%
7 97
7.1%
4 85
 
6.2%
Space Separator
ValueCountFrequency (%)
1138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%
Other Punctuation
ValueCountFrequency (%)
, 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3047
51.8%
Common 2830
48.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 295
 
9.7%
천 283
 
9.3%
리 259
 
8.5%
군 259
 
8.5%
도 174
 
5.7%
충 173
 
5.7%
청 173
 
5.7%
북 173
 
5.7%
면 161
 
5.3%
산 147
 
4.8%
Other values (59) 950
31.2%
Common
ValueCountFrequency (%)
1138
40.2%
1 218
 
7.7%
- 199
 
7.0%
3 186
 
6.6%
2 184
 
6.5%
5 130
 
4.6%
, 127
 
4.5%
6 123
 
4.3%
9 116
 
4.1%
8 115
 
4.1%
Other values (3) 294
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3047
51.8%
ASCII 2830
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1138
40.2%
1 218
 
7.7%
- 199
 
7.0%
3 186
 
6.6%
2 184
 
6.5%
5 130
 
4.6%
, 127
 
4.5%
6 123
 
4.3%
9 116
 
4.1%
8 115
 
4.1%
Other values (3) 294
 
10.4%
Hangul
ValueCountFrequency (%)
진 295
 
9.7%
천 283
 
9.3%
리 259
 
8.5%
군 259
 
8.5%
도 174
 
5.7%
충 173
 
5.7%
청 173
 
5.7%
북 173
 
5.7%
면 161
 
5.3%
산 147
 
4.8%
Other values (59) 950
31.2%

가동상태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
정상가동
259 

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 259
100.0%

Length

2024-03-16T13:15:52.932703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:53.069637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상가동 259
100.0%

설비용량
Real number (ℝ)

HIGH CORRELATION 

Distinct115
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.355753
Minimum10.2
Maximum999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-16T13:15:53.227346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.2
5-th percentile19.78
Q181.46
median99
Q399.695
95-th percentile145.002
Maximum999.9
Range989.7
Interquartile range (IQR)18.235

Descriptive statistics

Standard deviation89.414558
Coefficient of variation (CV)0.90909332
Kurtosis51.674778
Mean98.355753
Median Absolute Deviation (MAD)0.96
Skewness6.3461095
Sum25474.14
Variance7994.9632
MonotonicityNot monotonic
2024-03-16T13:15:53.716242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 34
 
13.1%
99.96 26
 
10.0%
99.36 24
 
9.3%
98.98 13
 
5.0%
99.76 11
 
4.2%
99.84 6
 
2.3%
99.45 6
 
2.3%
97.75 4
 
1.5%
99.12 4
 
1.5%
99.18 4
 
1.5%
Other values (105) 127
49.0%
ValueCountFrequency (%)
10.2 1
0.4%
10.5 1
0.4%
11.96 1
0.4%
15.18 1
0.4%
17.4 1
0.4%
17.7 1
0.4%
19.0 1
0.4%
19.04 1
0.4%
19.32 1
0.4%
19.635 2
0.8%
ValueCountFrequency (%)
999.9 1
0.4%
682.125 1
0.4%
595.2 1
0.4%
499.8 1
0.4%
426.25 1
0.4%
349.27 1
0.4%
249.12 1
0.4%
201.6 1
0.4%
199.64 1
0.4%
198.36 1
0.4%

공급전압
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
380
258 
22900
 
1

Length

Max length5
Median length3
Mean length3.007722
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
380 258
99.6%
22900 1
 
0.4%

Length

2024-03-16T13:15:54.000482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:54.230209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 258
99.6%
22900 1
 
0.4%

주파수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
60
259 

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 (%)
60 259
100.0%

Length

2024-03-16T13:15:54.523924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:54.783849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 259
100.0%

설치연도
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2021
87 
2023
87 
2022
76 
2024
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 87
33.6%
2023 87
33.6%
2022 76
29.3%
2024 9
 
3.5%

Length

2024-03-16T13:15:55.044613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:55.226016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 87
33.6%
2023 87
33.6%
2022 76
29.3%
2024 9
 
3.5%

허가일자
Date

Distinct117
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-04-23 00:00:00
Maximum2023-10-25 00:00:00
2024-03-16T13:15:55.398788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:55.611672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
충청북도 진천군청
259 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청북도 진천군청
2nd row충청북도 진천군청
3rd row충청북도 진천군청
4th row충청북도 진천군청
5th row충청북도 진천군청

Common Values

ValueCountFrequency (%)
충청북도 진천군청 259
100.0%

Length

2024-03-16T13:15:55.814103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:55.966554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 259
50.0%
진천군청 259
50.0%

설치면적
Real number (ℝ)

HIGH CORRELATION 

Distinct161
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518.19678
Minimum51.36
Maximum4950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-16T13:15:56.157376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.36
5-th percentile99.712
Q1396.093
median467.16
Q3484.64
95-th percentile1086.32
Maximum4950
Range4898.64
Interquartile range (IQR)88.547

Descriptive statistics

Standard deviation490.2872
Coefficient of variation (CV)0.94614097
Kurtosis39.488102
Mean518.19678
Median Absolute Deviation (MAD)25.937
Skewness5.4992662
Sum134212.97
Variance240381.54
MonotonicityNot monotonic
2024-03-16T13:15:56.377172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
481.22 14
 
5.4%
462.53 11
 
4.2%
470.0 10
 
3.9%
467.16 8
 
3.1%
455.18 5
 
1.9%
501.3 4
 
1.5%
458.64 4
 
1.5%
470.27 4
 
1.5%
605.0 4
 
1.5%
481.76 4
 
1.5%
Other values (151) 191
73.7%
ValueCountFrequency (%)
51.36 1
0.4%
54.6 1
0.4%
57.15 1
0.4%
72.7 1
0.4%
80.75 1
0.4%
83.0 1
0.4%
87.0 1
0.4%
87.57 1
0.4%
87.7 1
0.4%
92.68 1
0.4%
ValueCountFrequency (%)
4950.0 1
 
0.4%
3944.66 1
 
0.4%
3438.0 1
 
0.4%
2293.2 1
 
0.4%
2002.9 1
 
0.4%
1838.5 1
 
0.4%
1622.0 1
 
0.4%
1370.0 3
1.2%
1201.86 1
 
0.4%
1142.0 1
 
0.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2024-03-13 00:00:00
Maximum2024-03-13 00:00:00
2024-03-16T13:15:56.547395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:56.688715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-16T13:15:48.149575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:47.791855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:48.301380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:48.000816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:15:56.824473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량공급전압설치연도설치면적
설비용량1.0001.0000.0000.985
공급전압1.0001.0000.0001.000
설치연도0.0000.0001.0000.241
설치면적0.9851.0000.2411.000
2024-03-16T13:15:56.980067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연도공급전압
설치연도1.0000.000
공급전압0.0001.000
2024-03-16T13:15:57.135737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량설치면적공급전압설치연도
설비용량1.0000.6480.9880.000
설치면적0.6481.0000.9880.109
공급전압0.9880.9881.0000.000
설치연도0.0000.1090.0001.000

Missing values

2024-03-16T13:15:48.505949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:15:48.765666image/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

태양광발전시설명소재지도로명주소소재지지번주소가동상태구분명설비용량공급전압주파수설치연도허가일자허가기관설치면적데이터기준일자
0전원산업2호 태양광발전소<NA>충청북도 진천군 초평면 오갑리 산9-2, 18정상가동99.823806020212018-04-23충청북도 진천군청1370.02024-03-13
1전원산업3호 태양광발전소<NA>충청북도 진천군 초평면 오갑리 18정상가동95.763806020212018-04-23충청북도 진천군청1370.02024-03-13
2전원산업4호 태양광발전소<NA>충청북도 진천군 초평면 오갑리 18정상가동95.763806020212018-04-23충청북도 진천군청1370.02024-03-13
3한별1호 태양광발전소충청북도 진천군 초평면 초평로 283-144충청북도 진천군 초평면 중석리 1718정상가동99.363806020212019-04-30충청북도 진천군청481.222024-03-13
4한별2호 태양광발전소충청북도 진천군 초평면 초평로 283-144충청북도 진천군 초평면 중석리 1717정상가동99.363806020212019-04-30충청북도 진천군청481.222024-03-13
5낙천1호 태양광발전소충청북도 진천군 진천읍 상신길 169-109충청북도 진천군 진천읍 상신리 589정상가동98.283806020212019-04-30충청북도 진천군청1086.322024-03-13
6낙천2호 태양광발전소충청북도 진천군 진천읍 상신길 169-109충청북도 진천군 진천읍 상신리 589정상가동98.283806020212019-04-30충청북도 진천군청1086.322024-03-13
7낙천3호 태양광발전소충청북도 진천군 진천읍 상신길 169-109충청북도 진천군 진천읍 상신리 589정상가동98.283806020212019-04-30충청북도 진천군청1086.322024-03-13
8가온1호 태양광발전소충청북도 진천군 이월면 신정길 74충청북도 진천군 이월면 신월리 330-04정상가동99.453806020212020-10-07충청북도 진천군청499.262024-03-13
9가온2호 태양광발전소충청북도 진천군 이월면 신정길 74충청북도 진천군 이월면 신월리 330-04정상가동70.23806020212020-10-07충청북도 진천군청355.072024-03-13
태양광발전시설명소재지도로명주소소재지지번주소가동상태구분명설비용량공급전압주파수설치연도허가일자허가기관설치면적데이터기준일자
249천마1호 태양광발전소진천군 이월면 월촌1안길 92진천군 이월면 신월리 15-1, 16-2, 17, 18, 19, 20, 22-1, 24-2정상가동99.03806020242023-09-20충청북도 진천군청467.282024-03-13
250천마2호 태양광발전소진천군 이월면 월촌1안길 92진천군 이월면 신월리 15-1, 16-2, 17, 18, 19, 20, 22-1, 24-2정상가동99.03806020242023-09-20충청북도 진천군청467.282024-03-13
251천마3호 태양광발전소진천군 이월면 월촌1안길 92진천군 이월면 신월리 15-1, 16-2, 17, 18, 19, 20, 22-1, 24-2정상가동29.73806020242023-09-20충청북도 진천군청140.1842024-03-13
252서원5호 태양광발전소진천군 이월면 고등1길 105진천군 이월면 노원리 774정상가동99.03806020232023-10-12충청북도 진천군청465.952024-03-13
253서원6호 태양광발전소진천군 이월면 고등1길 105진천군 이월면 노원리 774정상가동62.043806020232023-10-12충청북도 진천군청291.992024-03-13
254진천축협1호 태양광발전소진천군 이월면 진광로 286진천군 이월면 중산리 2정상가동99.03806020242023-10-20충청북도 진천군청464.992024-03-13
255진천축협2호 태양광발전소진천군 이월면 진광로 286진천군 이월면 중산리 2정상가동198.03806020242023-10-20충청북도 진천군청929.972024-03-13
256태평1호 태양광발전소진천군 덕산읍 산수산단2로 103진천군 덕산읍 산수리 1030정상가동88.03806020242023-10-25충청북도 진천군청415.4982024-03-13
257태평2호 태양광발전소진천군 덕산읍 산수산단2로 103진천군 덕산읍 산수리 1030정상가동99.03806020242023-10-25충청북도 진천군청467.4352024-03-13
258태평3호 태양광발전소진천군 덕산읍 산수산단2로 103진천군 덕산읍 산수리 1030정상가동79.23806020242023-10-25충청북도 진천군청373.9482024-03-13