Overview

Dataset statistics

Number of variables10
Number of observations1684
Missing cells1976
Missing cells (%)11.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory136.6 KiB
Average record size in memory83.1 B

Variable types

DateTime2
Text3
Categorical3
Numeric2

Dataset

Description충청남도 논산시 태양광 발전설치 현황(발전소명, 설비용량, 발전소주소, 최초허가일, 완공개시일) 입니다.
Author충청남도 논산시
URLhttps://www.data.go.kr/data/15033860/fileData.do

Alerts

주파수 has constant value ""Constant
공급전압 is highly imbalanced (84.4%)Imbalance
사업개시일자 has 735 (43.6%) missing valuesMissing
소재지도로명주소 has 1241 (73.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:12:49.837254
Analysis finished2023-12-12 00:12:51.326498
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가일자
Date

Distinct333
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
Minimum2014-03-24 00:00:00
Maximum2019-12-12 00:00:00
2023-12-12T09:12:51.413038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:12:51.593884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일자
Date

MISSING 

Distinct265
Distinct (%)27.9%
Missing735
Missing (%)43.6%
Memory size13.3 KiB
Minimum2014-06-16 00:00:00
Maximum2019-12-04 00:00:00
2023-12-12T09:12:51.836035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:12:51.986607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발전소명
Text

Distinct1554
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-12T09:12:52.263919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length8.7137767
Min length1

Characters and Unicode

Total characters14674
Distinct characters411
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1463 ?
Unique (%)86.9%

Sample

1st row대우8호태양광발전소
2nd row한빛태양광발전소
3rd row논산태양광발전소
4th row이레태양광발전소
5th row화정태양광발전소
ValueCountFrequency (%)
대명태양광발전소 6
 
0.4%
대성태양광발전소 5
 
0.3%
수정태양광발전소 5
 
0.3%
해오름태양광발전소 4
 
0.2%
한빛태양광발전소 4
 
0.2%
희망태양광발전소 4
 
0.2%
우진태양광발전소 4
 
0.2%
광석태양광발전소 4
 
0.2%
준태양광발전소 3
 
0.2%
은진태양광발전소 3
 
0.2%
Other values (1544) 1642
97.5%
2023-12-12T09:12:52.725461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 1501
 
10.2%
전 1459
 
9.9%
소 1458
 
9.9%
양 1457
 
9.9%
태 1456
 
9.9%
발 1446
 
9.9%
호 599
 
4.1%
2 238
 
1.6%
1 234
 
1.6%
지 200
 
1.4%
Other values (401) 4626
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13673
93.2%
Decimal Number 798
 
5.4%
Uppercase Letter 149
 
1.0%
Lowercase Letter 25
 
0.2%
Other Symbol 17
 
0.1%
Other Punctuation 5
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Letter Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1501
11.0%
전 1459
 
10.7%
소 1458
 
10.7%
양 1457
 
10.7%
태 1456
 
10.6%
발 1446
 
10.6%
호 599
 
4.4%
지 200
 
1.5%
에 188
 
1.4%
산 161
 
1.2%
Other values (348) 3748
27.4%
Uppercase Letter
ValueCountFrequency (%)
S 39
26.2%
K 18
12.1%
J 17
11.4%
H 13
 
8.7%
G 10
 
6.7%
Y 6
 
4.0%
P 6
 
4.0%
C 5
 
3.4%
M 4
 
2.7%
D 4
 
2.7%
Other values (12) 27
18.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
24.0%
a 3
12.0%
h 3
12.0%
n 3
12.0%
r 2
 
8.0%
j 1
 
4.0%
m 1
 
4.0%
i 1
 
4.0%
c 1
 
4.0%
w 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
2 238
29.8%
1 234
29.3%
3 110
13.8%
4 53
 
6.6%
5 40
 
5.0%
7 30
 
3.8%
6 30
 
3.8%
9 25
 
3.1%
8 25
 
3.1%
0 13
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13690
93.3%
Common 808
 
5.5%
Latin 176
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1501
 
11.0%
전 1459
 
10.7%
소 1458
 
10.7%
양 1457
 
10.6%
태 1456
 
10.6%
발 1446
 
10.6%
호 599
 
4.4%
지 200
 
1.5%
에 188
 
1.4%
산 161
 
1.2%
Other values (349) 3765
27.5%
Latin
ValueCountFrequency (%)
S 39
22.2%
K 18
 
10.2%
J 17
 
9.7%
H 13
 
7.4%
G 10
 
5.7%
e 6
 
3.4%
Y 6
 
3.4%
P 6
 
3.4%
C 5
 
2.8%
M 4
 
2.3%
Other values (27) 52
29.5%
Common
ValueCountFrequency (%)
2 238
29.5%
1 234
29.0%
3 110
13.6%
4 53
 
6.6%
5 40
 
5.0%
7 30
 
3.7%
6 30
 
3.7%
9 25
 
3.1%
8 25
 
3.1%
0 13
 
1.6%
Other values (5) 10
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13673
93.2%
ASCII 982
 
6.7%
None 17
 
0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 1501
11.0%
전 1459
 
10.7%
소 1458
 
10.7%
양 1457
 
10.7%
태 1456
 
10.6%
발 1446
 
10.6%
호 599
 
4.4%
지 200
 
1.5%
에 188
 
1.4%
산 161
 
1.2%
Other values (348) 3748
27.4%
ASCII
ValueCountFrequency (%)
2 238
24.2%
1 234
23.8%
3 110
11.2%
4 53
 
5.4%
5 40
 
4.1%
S 39
 
4.0%
7 30
 
3.1%
6 30
 
3.1%
9 25
 
2.5%
8 25
 
2.5%
Other values (40) 158
16.1%
None
ValueCountFrequency (%)
㈜ 17
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%

행정동
Categorical

Distinct15
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
노성면
378 
광석면
256 
은진면
165 
상월면
157 
가야곡면
153 
Other values (10)
575 

Length

Max length4
Median length3
Mean length3.0908551
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상월면
2nd row연무읍
3rd row부창동
4th row상월면
5th row성동면

Common Values

ValueCountFrequency (%)
노성면 378
22.4%
광석면 256
15.2%
은진면 165
9.8%
상월면 157
9.3%
가야곡면 153
9.1%
연무읍 126
 
7.5%
성동면 104
 
6.2%
부적면 95
 
5.6%
양촌면 92
 
5.5%
연산면 73
 
4.3%
Other values (5) 85
 
5.0%

Length

2023-12-12T09:12:52.857265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노성면 378
22.4%
광석면 256
15.2%
은진면 165
9.8%
상월면 157
9.3%
가야곡면 153
9.1%
연무읍 126
 
7.5%
성동면 104
 
6.2%
부적면 95
 
5.6%
양촌면 92
 
5.5%
연산면 73
 
4.3%
Other values (5) 85
 
5.0%

소재지도로명주소
Text

MISSING 

Distinct348
Distinct (%)78.6%
Missing1241
Missing (%)73.7%
Memory size13.3 KiB
2023-12-12T09:12:53.108273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length23.374718
Min length15

Characters and Unicode

Total characters10355
Distinct characters130
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)68.6%

Sample

1st row충청남도 논산시 상월면 선비로 1077
2nd row충청남도 논산시 연무읍 양지길 45-37
3rd row충청남도 논산시 해월로87번길 18
4th row충청남도 논산시 상월면 상월로 446-11
5th row충청남도 논산시 성동면 성동로436번길 100-10
ValueCountFrequency (%)
충청남도 443
20.3%
논산시 443
20.3%
광석면 80
 
3.7%
노성면 60
 
2.8%
연무읍 49
 
2.2%
성동면 48
 
2.2%
부적면 35
 
1.6%
명재로200번길 29
 
1.3%
읍내3길 28
 
1.3%
상월면 28
 
1.3%
Other values (486) 938
43.0%
2023-12-12T09:12:53.516334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1738
 
16.8%
산 521
 
5.0%
1 492
 
4.8%
논 459
 
4.4%
청 451
 
4.4%
남 449
 
4.3%
시 448
 
4.3%
충 444
 
4.3%
도 443
 
4.3%
면 356
 
3.4%
Other values (120) 4554
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6171
59.6%
Decimal Number 2160
 
20.9%
Space Separator 1738
 
16.8%
Dash Punctuation 286
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 521
 
8.4%
논 459
 
7.4%
청 451
 
7.3%
남 449
 
7.3%
시 448
 
7.3%
충 444
 
7.2%
도 443
 
7.2%
면 356
 
5.8%
로 321
 
5.2%
길 310
 
5.0%
Other values (108) 1969
31.9%
Decimal Number
ValueCountFrequency (%)
1 492
22.8%
2 258
11.9%
3 252
11.7%
4 204
9.4%
6 182
 
8.4%
0 179
 
8.3%
5 175
 
8.1%
7 158
 
7.3%
8 134
 
6.2%
9 126
 
5.8%
Space Separator
ValueCountFrequency (%)
1738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6171
59.6%
Common 4184
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 521
 
8.4%
논 459
 
7.4%
청 451
 
7.3%
남 449
 
7.3%
시 448
 
7.3%
충 444
 
7.2%
도 443
 
7.2%
면 356
 
5.8%
로 321
 
5.2%
길 310
 
5.0%
Other values (108) 1969
31.9%
Common
ValueCountFrequency (%)
1738
41.5%
1 492
 
11.8%
- 286
 
6.8%
2 258
 
6.2%
3 252
 
6.0%
4 204
 
4.9%
6 182
 
4.3%
0 179
 
4.3%
5 175
 
4.2%
7 158
 
3.8%
Other values (2) 260
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6171
59.6%
ASCII 4184
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1738
41.5%
1 492
 
11.8%
- 286
 
6.8%
2 258
 
6.2%
3 252
 
6.0%
4 204
 
4.9%
6 182
 
4.3%
0 179
 
4.3%
5 175
 
4.2%
7 158
 
3.8%
Other values (2) 260
 
6.2%
Hangul
ValueCountFrequency (%)
산 521
 
8.4%
논 459
 
7.4%
청 451
 
7.3%
남 449
 
7.3%
시 448
 
7.3%
충 444
 
7.2%
도 443
 
7.2%
면 356
 
5.8%
로 321
 
5.2%
길 310
 
5.0%
Other values (108) 1969
31.9%

소재지지번주소
Text

Distinct1227
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-12T09:12:53.866459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.690618
Min length15

Characters and Unicode

Total characters36527
Distinct characters131
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1046 ?
Unique (%)62.1%

Sample

1st row충청남도 논산시 상월면 대우리 238-3
2nd row충청남도 논산시 연무읍 양지리 614
3rd row충청남도 논산시 부창동 274-139
4th row충청남도 논산시 상월면 대명리 252-11
5th row충청남도 논산시 성동면 화정리 84-2
ValueCountFrequency (%)
충청남도 1684
19.9%
논산시 1684
19.9%
노성면 378
 
4.5%
광석면 256
 
3.0%
은진면 165
 
2.0%
상월면 157
 
1.9%
가야곡면 153
 
1.8%
읍내리 128
 
1.5%
연무읍 126
 
1.5%
용산리 116
 
1.4%
Other values (1302) 3596
42.6%
2023-12-12T09:12:54.345495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6766
18.5%
산 2055
 
5.6%
도 1730
 
4.7%
남 1711
 
4.7%
청 1694
 
4.6%
시 1689
 
4.6%
충 1684
 
4.6%
논 1684
 
4.6%
리 1639
 
4.5%
면 1509
 
4.1%
Other values (121) 14366
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21823
59.7%
Space Separator 6766
 
18.5%
Decimal Number 6564
 
18.0%
Dash Punctuation 1374
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2055
 
9.4%
도 1730
 
7.9%
남 1711
 
7.8%
청 1694
 
7.8%
시 1689
 
7.7%
충 1684
 
7.7%
논 1684
 
7.7%
리 1639
 
7.5%
면 1509
 
6.9%
성 491
 
2.2%
Other values (109) 5937
27.2%
Decimal Number
ValueCountFrequency (%)
1 1220
18.6%
2 967
14.7%
4 761
11.6%
3 745
11.3%
5 663
10.1%
6 515
7.8%
0 453
 
6.9%
7 429
 
6.5%
8 409
 
6.2%
9 402
 
6.1%
Space Separator
ValueCountFrequency (%)
6766
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1374
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21823
59.7%
Common 14704
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2055
 
9.4%
도 1730
 
7.9%
남 1711
 
7.8%
청 1694
 
7.8%
시 1689
 
7.7%
충 1684
 
7.7%
논 1684
 
7.7%
리 1639
 
7.5%
면 1509
 
6.9%
성 491
 
2.2%
Other values (109) 5937
27.2%
Common
ValueCountFrequency (%)
6766
46.0%
- 1374
 
9.3%
1 1220
 
8.3%
2 967
 
6.6%
4 761
 
5.2%
3 745
 
5.1%
5 663
 
4.5%
6 515
 
3.5%
0 453
 
3.1%
7 429
 
2.9%
Other values (2) 811
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21823
59.7%
ASCII 14704
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6766
46.0%
- 1374
 
9.3%
1 1220
 
8.3%
2 967
 
6.6%
4 761
 
5.2%
3 745
 
5.1%
5 663
 
4.5%
6 515
 
3.5%
0 453
 
3.1%
7 429
 
2.9%
Other values (2) 811
 
5.5%
Hangul
ValueCountFrequency (%)
산 2055
 
9.4%
도 1730
 
7.9%
남 1711
 
7.8%
청 1694
 
7.8%
시 1689
 
7.7%
충 1684
 
7.7%
논 1684
 
7.7%
리 1639
 
7.5%
면 1509
 
6.9%
성 491
 
2.2%
Other values (109) 5937
27.2%

설비용량
Real number (ℝ)

Distinct305
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.16467
Minimum9
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2023-12-12T09:12:54.488413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile40.24
Q197.9
median99.1
Q399.8
95-th percentile400
Maximum500
Range491
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation100.27134
Coefficient of variation (CV)0.78236338
Kurtosis6.4680843
Mean128.16467
Median Absolute Deviation (MAD)0.8
Skewness2.6659961
Sum215829.3
Variance10054.342
MonotonicityNot monotonic
2023-12-12T09:12:54.615982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 186
 
11.0%
99.2 159
 
9.4%
99.8 121
 
7.2%
97.9 100
 
5.9%
98.3 90
 
5.3%
98.6 82
 
4.9%
99.3 65
 
3.9%
97.2 64
 
3.8%
99.4 61
 
3.6%
100.0 45
 
2.7%
Other values (295) 711
42.2%
ValueCountFrequency (%)
9.0 1
 
0.1%
10.1 2
0.1%
11.0 1
 
0.1%
13.5 1
 
0.1%
14.3 1
 
0.1%
14.5 2
0.1%
14.8 1
 
0.1%
15.0 4
0.2%
15.3 1
 
0.1%
16.4 1
 
0.1%
ValueCountFrequency (%)
500.0 3
0.2%
499.8 2
0.1%
499.7 1
 
0.1%
499.6 1
 
0.1%
499.5 1
 
0.1%
499.3 4
0.2%
499.2 4
0.2%
499.0 3
0.2%
498.6 1
 
0.1%
498.5 3
0.2%

공급전압
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
380
1615 
22900
 
27
220
 
22
220+380
 
20

Length

Max length7
Median length3
Mean length3.0795724
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
380 1615
95.9%
22900 27
 
1.6%
220 22
 
1.3%
220+380 20
 
1.2%

Length

2023-12-12T09:12:54.740281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:12:54.863588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 1615
95.9%
22900 27
 
1.6%
220 22
 
1.3%
220+380 20
 
1.2%

주파수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
60
1684 

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 1684
100.0%

Length

2023-12-12T09:12:54.996365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:12:55.104559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1684
100.0%

설치면적
Real number (ℝ)

Distinct1003
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1555.3481
Minimum49
Maximum12399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.9 KiB
2023-12-12T09:12:55.209423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile299.15
Q1637
median1283.5
Q31615.25
95-th percentile4969.715
Maximum12399
Range12350
Interquartile range (IQR)978.25

Descriptive statistics

Standard deviation1482.8388
Coefficient of variation (CV)0.95338065
Kurtosis11.492376
Mean1555.3481
Median Absolute Deviation (MAD)381.5
Skewness3.0257623
Sum2619206.2
Variance2198810.9
MonotonicityNot monotonic
2023-12-12T09:12:55.355008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
557.0 56
 
3.3%
1320.0 25
 
1.5%
585.0 18
 
1.1%
1650.0 16
 
1.0%
574.3 15
 
0.9%
1600.0 15
 
0.9%
1254.0 10
 
0.6%
532.0 10
 
0.6%
564.5 10
 
0.6%
426.8 9
 
0.5%
Other values (993) 1500
89.1%
ValueCountFrequency (%)
49.0 1
0.1%
70.6 1
0.1%
72.1 1
0.1%
76.0 1
0.1%
80.0 1
0.1%
81.0 1
0.1%
82.0 1
0.1%
83.0 2
0.1%
84.8 1
0.1%
85.0 1
0.1%
ValueCountFrequency (%)
12399.0 1
 
0.1%
12000.0 1
 
0.1%
11000.0 1
 
0.1%
9886.0 7
0.4%
8610.0 1
 
0.1%
8490.0 1
 
0.1%
8388.0 1
 
0.1%
8349.0 1
 
0.1%
7940.0 1
 
0.1%
7892.0 1
 
0.1%

Interactions

2023-12-12T09:12:50.646268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:12:50.413116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:12:50.754058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:12:50.528319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:12:55.455802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동설비용량공급전압설치면적
행정동1.0000.3290.2890.372
설비용량0.3291.0000.4880.791
공급전압0.2890.4881.0000.380
설치면적0.3720.7910.3801.000
2023-12-12T09:12:55.935077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동공급전압
행정동1.0000.167
공급전압0.1671.000
2023-12-12T09:12:56.022072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량설치면적행정동공급전압
설비용량1.0000.4290.1280.312
설치면적0.4291.0000.1480.235
행정동0.1280.1481.0000.167
공급전압0.3120.2350.1671.000

Missing values

2023-12-12T09:12:50.919950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:12:51.124663image/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.
2023-12-12T09:12:51.246030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

허가일자사업개시일자발전소명행정동소재지도로명주소소재지지번주소설비용량공급전압주파수설치면적
02014-03-242014-07-16대우8호태양광발전소상월면충청남도 논산시 상월면 선비로 1077충청남도 논산시 상월면 대우리 238-375.038060485.1
12014-03-312014-06-30한빛태양광발전소연무읍충청남도 논산시 연무읍 양지길 45-37충청남도 논산시 연무읍 양지리 61489.038060504.0
22014-03-312014-08-27논산태양광발전소부창동충청남도 논산시 해월로87번길 18충청남도 논산시 부창동 274-13972.038060972.8
32014-04-042014-10-01이레태양광발전소상월면충청남도 논산시 상월면 상월로 446-11충청남도 논산시 상월면 대명리 252-1190.738060537.6
42014-04-042014-07-08화정태양광발전소성동면충청남도 논산시 성동면 성동로436번길 100-10충청남도 논산시 성동면 화정리 84-296.038060443.4
52014-04-082014-07-02태경태양광발전소상월면<NA>충청남도 논산시 상월면 학당리 6495.038060706.3
62014-04-082014-07-02도화동태양광발전소상월면충청남도 논산시 상월면 상월로740번길 52-22충청남도 논산시 상월면 상도리 258-120.022060129.3
72014-04-112014-06-16논산실로암태양광발전소취암동충청남도 논산시 중앙로479번길 5충청남도 논산시 반월동 162-128.138060159.8
82014-04-172014-07-15용연태양광발전소노성면<NA>충청남도 논산시 노성면 효죽리 336-172.938060384.0
92014-04-172014-10-02한성태양광발전소2호부적면충청남도 논산시 부적면 부적로 313-15충청남도 논산시 부적면 신교리 712-5291.622900601533.6
허가일자사업개시일자발전소명행정동소재지도로명주소소재지지번주소설비용량공급전압주파수설치면적
16742019-12-11<NA>연서태양광발전소가야곡면<NA>충청남도 논산시 가야곡면 종연리 33-299.8380601582.0
16752019-12-11<NA>예진태양광발전소가야곡면<NA>충청남도 논산시 가야곡면 종연리 33-399.8380601540.0
16762019-12-11<NA>은희태양광발전소가야곡면<NA>충청남도 논산시 가야곡면 종연리 33-299.8380601340.0
16772019-12-12<NA>지다민태양광발전소2호가야곡면<NA>충청남도 논산시 가야곡면 함적리 51-298.838060398.0
16782019-12-12<NA>지다민태양광발전소3호가야곡면<NA>충청남도 논산시 가야곡면 함적리 51-298.838060398.0
16792019-12-12<NA>지다민태양광발전소4호가야곡면<NA>충청남도 논산시 가야곡면 함적리 51-298.838060398.0
16802019-12-12<NA>감곡1호태양광발전소부적면<NA>충청남도 논산시 부적면 감곡리 120-6599.938060402.0
16812019-12-12<NA>감곡2호태양광발전소부적면<NA>충청남도 논산시 부적면 감곡리 120-14399.938060400.0
16822019-12-12<NA>JH솔라성동면충청남도 논산시 성동면 산업단지로3길 7충청남도 논산시 성동면 원남리 1198-1499.2380603733.0
16832019-12-12<NA>MK솔라성동면충청남도 논산시 성동면 산업단지로3길 7충청남도 논산시 성동면 원남리 1198-1499.2380602221.0