Overview

Dataset statistics

Number of variables11
Number of observations28
Missing cells3
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory95.7 B

Variable types

Categorical3
Text3
Numeric3
DateTime2

Dataset

Description성남시내 태양광 발전소 현황 데이터이며, 허가기관,시군명,발전소명,소재지지번주소,소재지도로명주소,설비용량(KW),사업허가일,사업개시일,위도,경도 등의 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15037034/fileData.do

Alerts

허가기관 has constant value ""Constant
시군명 has constant value ""Constant
데이터기준일 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
사업개시일 has 3 (10.7%) missing valuesMissing
발전소명 has unique valuesUnique
설비용량(KW) has unique valuesUnique
사업허가일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:10:31.248164
Analysis finished2023-12-12 09:10:33.227931
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가기관
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
경기도
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 28
100.0%

Length

2023-12-12T18:10:33.298142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:10:33.420718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 28
100.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
성남시
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 28
100.0%

Length

2023-12-12T18:10:33.551050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:10:33.664532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남시 28
100.0%

발전소명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T18:10:33.914887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length10.75
Min length4

Characters and Unicode

Total characters301
Distinct characters86
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

Unique28 ?
Unique (%)100.0%

Sample

1st row우민태양광발전소
2nd row신성홀딩스태양광발전소
3rd row지역난방공사판교가압장태양광
4th row지애산업태양광발전소
5th row㈜신성솔라에너지태양광발전소
ValueCountFrequency (%)
태양광발전소 11
26.8%
우민태양광발전소 1
 
2.4%
제2호주차장 1
 
2.4%
인스코 1
 
2.4%
태영 1
 
2.4%
신성태양광발전소 1
 
2.4%
도하 1
 
2.4%
에스제이 1
 
2.4%
염광교회 1
 
2.4%
장모집 1
 
2.4%
Other values (21) 21
51.2%
2023-12-12T18:10:34.399074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
태 26
 
8.6%
광 26
 
8.6%
전 26
 
8.6%
소 26
 
8.6%
양 25
 
8.3%
발 25
 
8.3%
13
 
4.3%
성 8
 
2.7%
교 5
 
1.7%
지 5
 
1.7%
Other values (76) 116
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
92.4%
Space Separator 13
 
4.3%
Lowercase Letter 5
 
1.7%
Decimal Number 3
 
1.0%
Other Symbol 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
태 26
 
9.4%
광 26
 
9.4%
전 26
 
9.4%
소 26
 
9.4%
양 25
 
9.0%
발 25
 
9.0%
성 8
 
2.9%
교 5
 
1.8%
지 5
 
1.8%
신 4
 
1.4%
Other values (68) 102
36.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
40.0%
d 1
20.0%
p 1
20.0%
c 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
93.0%
Common 16
 
5.3%
Latin 5
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
태 26
 
9.3%
광 26
 
9.3%
전 26
 
9.3%
소 26
 
9.3%
양 25
 
8.9%
발 25
 
8.9%
성 8
 
2.9%
교 5
 
1.8%
지 5
 
1.8%
신 4
 
1.4%
Other values (69) 104
37.1%
Latin
ValueCountFrequency (%)
o 2
40.0%
d 1
20.0%
p 1
20.0%
c 1
20.0%
Common
ValueCountFrequency (%)
13
81.2%
2 2
 
12.5%
1 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
92.4%
ASCII 21
 
7.0%
None 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
태 26
 
9.4%
광 26
 
9.4%
전 26
 
9.4%
소 26
 
9.4%
양 25
 
9.0%
발 25
 
9.0%
성 8
 
2.9%
교 5
 
1.8%
지 5
 
1.8%
신 4
 
1.4%
Other values (68) 102
36.7%
ASCII
ValueCountFrequency (%)
13
61.9%
2 2
 
9.5%
o 2
 
9.5%
d 1
 
4.8%
p 1
 
4.8%
c 1
 
4.8%
1 1
 
4.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지지번주소
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T18:10:34.635622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22.5
Mean length20.071429
Min length15

Characters and Unicode

Total characters562
Distinct characters56
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

Unique26 ?
Unique (%)92.9%

Sample

1st row경기도 성남시 분당구 구미동 273-6
2nd row경기도 성남시 분당구 백현동 404-1
3rd row경기도 성남시 삼평동 732
4th row경기도 성남시 분당구 백현동 525
5th row경기도 성남시 분당구 백현동 404-6
ValueCountFrequency (%)
경기도 28
20.1%
성남시 28
20.1%
분당구 11
 
7.9%
중원구 10
 
7.2%
수정구 4
 
2.9%
백현동 3
 
2.2%
상대원동 3
 
2.2%
하대원동 2
 
1.4%
분당동 2
 
1.4%
사송동 2
 
1.4%
Other values (45) 46
33.1%
2023-12-12T18:10:35.058794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
19.8%
도 29
 
5.2%
성 29
 
5.2%
남 29
 
5.2%
경 28
 
5.0%
시 28
 
5.0%
기 28
 
5.0%
동 28
 
5.0%
구 26
 
4.6%
2 16
 
2.8%
Other values (46) 210
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
60.1%
Space Separator 111
 
19.8%
Decimal Number 100
 
17.8%
Dash Punctuation 13
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 29
 
8.6%
성 29
 
8.6%
남 29
 
8.6%
경 28
 
8.3%
시 28
 
8.3%
기 28
 
8.3%
동 28
 
8.3%
구 26
 
7.7%
원 16
 
4.7%
당 13
 
3.8%
Other values (34) 84
24.9%
Decimal Number
ValueCountFrequency (%)
2 16
16.0%
1 16
16.0%
6 14
14.0%
4 11
11.0%
5 10
10.0%
3 10
10.0%
7 7
7.0%
9 7
7.0%
0 5
 
5.0%
8 4
 
4.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
60.1%
Common 224
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 29
 
8.6%
성 29
 
8.6%
남 29
 
8.6%
경 28
 
8.3%
시 28
 
8.3%
기 28
 
8.3%
동 28
 
8.3%
구 26
 
7.7%
원 16
 
4.7%
당 13
 
3.8%
Other values (34) 84
24.9%
Common
ValueCountFrequency (%)
111
49.6%
2 16
 
7.1%
1 16
 
7.1%
6 14
 
6.2%
- 13
 
5.8%
4 11
 
4.9%
5 10
 
4.5%
3 10
 
4.5%
7 7
 
3.1%
9 7
 
3.1%
Other values (2) 9
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
60.1%
ASCII 224
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
49.6%
2 16
 
7.1%
1 16
 
7.1%
6 14
 
6.2%
- 13
 
5.8%
4 11
 
4.9%
5 10
 
4.5%
3 10
 
4.5%
7 7
 
3.1%
9 7
 
3.1%
Other values (2) 9
 
4.0%
Hangul
ValueCountFrequency (%)
도 29
 
8.6%
성 29
 
8.6%
남 29
 
8.6%
경 28
 
8.3%
시 28
 
8.3%
기 28
 
8.3%
동 28
 
8.3%
구 26
 
7.7%
원 16
 
4.7%
당 13
 
3.8%
Other values (34) 84
24.9%

소재지도로명주소
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T18:10:35.351308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length20.928571
Min length14

Characters and Unicode

Total characters586
Distinct characters57
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

Unique26 ?
Unique (%)92.9%

Sample

1st row경기도 성남시 분당구 구미로192번길 18
2nd row경기도 성남시 분당구 대왕판교로395번길 8
3rd row경기도 성남시 분당구 대왕판교로644번길 68
4th row경기도 성남시 분당구 판교역로 50
5th row경기도 성남시 분당구 대왕판교로395번길 8
ValueCountFrequency (%)
경기도 28
20.1%
성남시 28
20.1%
분당구 12
 
8.6%
중원구 8
 
5.8%
수정구 5
 
3.6%
분당로 3
 
2.2%
산성대로 2
 
1.4%
50 2
 
1.4%
5 2
 
1.4%
8 2
 
1.4%
Other values (46) 47
33.8%
2023-12-12T18:10:35.781750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
18.9%
성 31
 
5.3%
도 29
 
4.9%
경 28
 
4.8%
남 28
 
4.8%
시 28
 
4.8%
기 28
 
4.8%
로 28
 
4.8%
구 26
 
4.4%
분 15
 
2.6%
Other values (47) 234
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
64.2%
Space Separator 111
 
18.9%
Decimal Number 96
 
16.4%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 31
 
8.2%
도 29
 
7.7%
경 28
 
7.4%
남 28
 
7.4%
시 28
 
7.4%
기 28
 
7.4%
로 28
 
7.4%
구 26
 
6.9%
분 15
 
4.0%
당 15
 
4.0%
Other values (35) 120
31.9%
Decimal Number
ValueCountFrequency (%)
1 13
13.5%
3 13
13.5%
5 12
12.5%
8 12
12.5%
6 11
11.5%
4 11
11.5%
2 8
8.3%
0 7
7.3%
9 6
6.2%
7 3
 
3.1%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 376
64.2%
Common 210
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 31
 
8.2%
도 29
 
7.7%
경 28
 
7.4%
남 28
 
7.4%
시 28
 
7.4%
기 28
 
7.4%
로 28
 
7.4%
구 26
 
6.9%
분 15
 
4.0%
당 15
 
4.0%
Other values (35) 120
31.9%
Common
ValueCountFrequency (%)
111
52.9%
1 13
 
6.2%
3 13
 
6.2%
5 12
 
5.7%
8 12
 
5.7%
6 11
 
5.2%
4 11
 
5.2%
2 8
 
3.8%
0 7
 
3.3%
9 6
 
2.9%
Other values (2) 6
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
64.2%
ASCII 210
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
52.9%
1 13
 
6.2%
3 13
 
6.2%
5 12
 
5.7%
8 12
 
5.7%
6 11
 
5.2%
4 11
 
5.2%
2 8
 
3.8%
0 7
 
3.3%
9 6
 
2.9%
Other values (2) 6
 
2.9%
Hangul
ValueCountFrequency (%)
성 31
 
8.2%
도 29
 
7.7%
경 28
 
7.4%
남 28
 
7.4%
시 28
 
7.4%
기 28
 
7.4%
로 28
 
7.4%
구 26
 
6.9%
분 15
 
4.0%
당 15
 
4.0%
Other values (35) 120
31.9%

설비용량(KW)
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.146786
Minimum9.22
Maximum391.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T18:10:35.956559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.22
5-th percentile10.1395
Q119.5525
median41.76
Q372.135
95-th percentile227.381
Maximum391.23
Range382.01
Interquartile range (IQR)52.5825

Descriptive statistics

Standard deviation82.918715
Coefficient of variation (CV)1.2535562
Kurtosis8.9791128
Mean66.146786
Median Absolute Deviation (MAD)23.39
Skewness2.859271
Sum1852.11
Variance6875.5132
MonotonicityNot monotonic
2023-12-12T18:10:36.118748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
10.64 1
 
3.6%
391.23 1
 
3.6%
78.54 1
 
3.6%
59.95 1
 
3.6%
18.24 1
 
3.6%
19.72 1
 
3.6%
80.16 1
 
3.6%
53.69 1
 
3.6%
29.76 1
 
3.6%
59.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
9.22 1
3.6%
9.87 1
3.6%
10.64 1
3.6%
15.12 1
3.6%
18.24 1
3.6%
18.5 1
3.6%
19.35 1
3.6%
19.62 1
3.6%
19.72 1
3.6%
19.92 1
3.6%
ValueCountFrequency (%)
391.23 1
3.6%
252.0 1
3.6%
181.66 1
3.6%
90.0 1
3.6%
81.6 1
3.6%
80.16 1
3.6%
78.54 1
3.6%
70.0 1
3.6%
66.6 1
3.6%
59.95 1
3.6%

사업허가일
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2008-01-28 00:00:00
Maximum2023-03-03 00:00:00
2023-12-12T18:10:36.264439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:36.448724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

사업개시일
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing3
Missing (%)10.7%
Memory size356.0 B
Minimum2008-06-10 00:00:00
Maximum2022-10-13 00:00:00
2023-12-12T18:10:36.610000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:36.730321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.409066
Minimum37.342606
Maximum37.458714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T18:10:36.887251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.342606
5-th percentile37.362201
Q137.38169
median37.418349
Q337.431809
95-th percentile37.449951
Maximum37.458714
Range0.11610853
Interquartile range (IQR)0.050119572

Descriptive statistics

Standard deviation0.030958889
Coefficient of variation (CV)0.00082757719
Kurtosis-0.81490882
Mean37.409066
Median Absolute Deviation (MAD)0.0203526
Skewness-0.4476673
Sum1047.4538
Variance0.00095845282
MonotonicityNot monotonic
2023-12-12T18:10:37.099319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.37885868 2
 
7.1%
37.34260572 1
 
3.6%
37.41350448 1
 
3.6%
37.36033673 1
 
3.6%
37.43438677 1
 
3.6%
37.45871425 1
 
3.6%
37.42409604 1
 
3.6%
37.42784176 1
 
3.6%
37.45255831 1
 
3.6%
37.39078274 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.34260572 1
3.6%
37.36033673 1
3.6%
37.36566243 1
3.6%
37.36638499 1
3.6%
37.3721 1
3.6%
37.37885868 2
7.1%
37.3826336 1
3.6%
37.39078274 1
3.6%
37.3916231 1
3.6%
37.39960176 1
3.6%
ValueCountFrequency (%)
37.45871425 1
3.6%
37.45255831 1
3.6%
37.44511012 1
3.6%
37.4400915 1
3.6%
37.43731161 1
3.6%
37.43438677 1
3.6%
37.43338133 1
3.6%
37.43128548 1
3.6%
37.43006588 1
3.6%
37.42784176 1
3.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12776
Minimum127.0498
Maximum127.17749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T18:10:37.263030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0498
5-th percentile127.07241
Q1127.10836
median127.12658
Q3127.14965
95-th percentile127.17494
Maximum127.17749
Range0.1276926
Interquartile range (IQR)0.0412947

Descriptive statistics

Standard deviation0.032110188
Coefficient of variation (CV)0.00025258202
Kurtosis0.3025811
Mean127.12776
Median Absolute Deviation (MAD)0.022825
Skewness-0.52701019
Sum3559.5774
Variance0.0010310642
MonotonicityNot monotonic
2023-12-12T18:10:37.412810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
127.1010483 2
 
7.1%
127.1272346 1
 
3.6%
127.1138846 1
 
3.6%
127.1010972 1
 
3.6%
127.1392577 1
 
3.6%
127.1652513 1
 
3.6%
127.1774926 1
 
3.6%
127.1350912 1
 
3.6%
127.1583768 1
 
3.6%
127.0581109 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
127.0498 1
3.6%
127.0581109 1
3.6%
127.0989779 1
3.6%
127.0994411 1
3.6%
127.1010483 2
7.1%
127.1010972 1
3.6%
127.1107808 1
3.6%
127.1138846 1
3.6%
127.1142415 1
3.6%
127.1189576 1
3.6%
ValueCountFrequency (%)
127.1774926 1
3.6%
127.1766498 1
3.6%
127.1717779 1
3.6%
127.1652513 1
3.6%
127.1598565 1
3.6%
127.1586902 1
3.6%
127.1583768 1
3.6%
127.1467472 1
3.6%
127.1463038 1
3.6%
127.1447185 1
3.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-05-31
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-31
2nd row2023-05-31
3rd row2023-05-31
4th row2023-05-31
5th row2023-05-31

Common Values

ValueCountFrequency (%)
2023-05-31 28
100.0%

Length

2023-12-12T18:10:37.933497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:10:38.035146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-31 28
100.0%

Interactions

2023-12-12T18:10:32.411276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:31.644069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:32.047809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:32.550313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:31.770889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:32.173707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:32.685394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:31.905318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:10:32.277699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:10:38.095326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소명소재지지번주소소재지도로명주소설비용량(KW)사업허가일사업개시일위도경도
발전소명1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0000.9891.0001.0001.0000.7481.000
소재지도로명주소1.0000.9891.0000.0001.0001.0001.0001.000
설비용량(KW)1.0001.0000.0001.0001.0001.0000.4430.090
사업허가일1.0001.0001.0001.0001.0001.0001.0001.000
사업개시일1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.7481.0000.4431.0001.0001.0000.515
경도1.0001.0001.0000.0901.0001.0000.5151.000
2023-12-12T18:10:38.205095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량(KW)위도경도
설비용량(KW)1.000-0.1780.019
위도-0.1781.0000.598
경도0.0190.5981.000

Missing values

2023-12-12T18:10:32.889891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:10:33.160194image/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

허가기관시군명발전소명소재지지번주소소재지도로명주소설비용량(KW)사업허가일사업개시일위도경도데이터기준일
0경기도성남시우민태양광발전소경기도 성남시 분당구 구미동 273-6경기도 성남시 분당구 구미로192번길 1810.642008-01-282008-06-1037.342606127.1272352023-05-31
1경기도성남시신성홀딩스태양광발전소경기도 성남시 분당구 백현동 404-1경기도 성남시 분당구 대왕판교로395번길 89.222008-08-082009-01-1237.378859127.1010482023-05-31
2경기도성남시지역난방공사판교가압장태양광경기도 성남시 삼평동 732경기도 성남시 분당구 대왕판교로644번길 6855.22011-08-292011-12-0537.399602127.1142422023-05-31
3경기도성남시지애산업태양광발전소경기도 성남시 분당구 백현동 525경기도 성남시 분당구 판교역로 509.872011-11-032012-01-1237.414095127.1220582023-05-31
4경기도성남시㈜신성솔라에너지태양광발전소경기도 성남시 분당구 백현동 404-6경기도 성남시 분당구 대왕판교로395번길 890.02012-05-312012-08-2437.378859127.1010482023-05-31
5경기도성남시한국지역난방공사분당태양광발전소경기도 성남시 분당구 분당동 186경기도 성남시 분당구 분당로 37870.02012-06-082012-07-0937.365662127.1467472023-05-31
6경기도성남시세연태양광발전소경기도 성남시 수정구 사송동 539경기도 성남시 수정구 설개로 9330.02013-06-182014-02-0137.416264127.1107812023-05-31
7경기도성남시㈜코맥스경기도 성남시 중원구 상대원동 513-11경기도 성남시 중원구 둔촌대로 49445.02014-08-272015-04-3037.431285127.1717782023-05-31
8경기도성남시성남시민제1햇빛발전소경기도 성남시 분당구 수내동 1경기도 성남시 분당구 분당로 5028.82014-12-162015-02-1737.382634127.1189582023-05-31
9경기도성남시조선일보2호태양광발전소성남사옥경기도 성남시 중원구 상대원동 233-9경기도 성남시 중원구 둔촌대로541번길 60181.662016-06-082016-10-2537.437312127.176652023-05-31
허가기관시군명발전소명소재지지번주소소재지도로명주소설비용량(KW)사업허가일사업개시일위도경도데이터기준일
18경기도성남시이송 태양광발전소경기도 성남시 수정구 고등동 611-12경기도 성남시 수정구 청계산로4길 1519.352021-05-182022-04-0137.424585127.0994412023-05-31
19경기도성남시혜성 태양광발전소경기도 성남시 중원구 금광2동 4354경기도 성남시 중원구 산성대로372번길 13-119.622021-09-282022-05-0137.44511127.158692023-05-31
20경기도성남시장모집 태양광발전소경기도 성남시 분당구 운중동 41-2경기도 성남시 분당구 하오개로344번길 559.22021-11-30<NA>37.390783127.0581112023-05-31
21경기도성남시염광교회 태양광발전소경기도 성남시 단대동 76-1경기도 성남시 수정구 단대로 16번길 229.762022-03-282022-07-1137.452558127.1583772023-05-31
22경기도성남시에스제이 태양광발전소경기도 성남시 중원구 하대원동 9경기도 성남시 마지로 46-853.692022-03-302022-06-2237.427842127.1350912023-05-31
23경기도성남시도하 태양광발전소경기도 성남시 중원구 갈현동 160경기도 성남시 갈현로 4380.162022-04-152022-06-0937.424096127.1774932023-05-31
24경기도성남시신성태양광발전소경기도 성남시 중원구 은행동 978경기도 성남시 중원구 산성대로 54019.722022-05-102022-07-0137.458714127.1652512023-05-31
25경기도성남시태영 태양광발전소경기도 성남시 중원구 성남동 2347경기도 성남시 중원구 원터로105번길 3618.242022-06-27<NA>37.434387127.1392582023-05-31
26경기도성남시인스코 태양광발전소경기도 성남시 분당구 금곡동 113-2경기도 성남시 분당구 대왕판교로 18759.952022-06-292022-10-1337.360337127.1010972023-05-31
27경기도성남시협신푸드 태양광발전소경기도 성남시 수정구 사송동 489경기도 성남시 수정구 동판교로 35678.542023-03-03<NA>37.413504127.1138852023-05-31