Overview

Dataset statistics

Number of variables11
Number of observations1176
Missing cells877
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.6 KiB
Average record size in memory91.1 B

Variable types

Numeric3
Categorical3
Text2
DateTime2
Boolean1

Dataset

Description전라남도 함평 관내 신재생에너지발전사업 허가현황입니다. 이 자료는 함평군 관내 신재생에너지 발전사업 허가현황에 대한 설치년도, 주소, 최초허가일 등의 내용을 포함하고 있습니다.
Author전라남도 함평군
URLhttps://www.data.go.kr/data/15039712/fileData.do

Alerts

시도 has constant value ""Constant
구분 is highly overall correlated with 허가(MW) and 1 other fieldsHigh correlation
시군구 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
사업개시여부 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 연도별 and 2 other fieldsHigh correlation
연도별 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
허가(MW) is highly overall correlated with 시군구 and 1 other fieldsHigh correlation
시군구 is highly imbalanced (98.2%)Imbalance
구분 is highly imbalanced (98.1%)Imbalance
사업개시일 has 875 (74.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:44:59.222427
Analysis finished2023-12-12 10:45:01.665187
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean588.5
Minimum1
Maximum1176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2023-12-12T19:45:01.749955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.75
Q1294.75
median588.5
Q3882.25
95-th percentile1117.25
Maximum1176
Range1175
Interquartile range (IQR)587.5

Descriptive statistics

Standard deviation339.62627
Coefficient of variation (CV)0.57710495
Kurtosis-1.2
Mean588.5
Median Absolute Deviation (MAD)294
Skewness0
Sum692076
Variance115346
MonotonicityStrictly increasing
2023-12-12T19:45:02.201858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
774 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
786 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
783 1
 
0.1%
Other values (1166) 1166
99.1%
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 (%)
1176 1
0.1%
1175 1
0.1%
1174 1
0.1%
1173 1
0.1%
1172 1
0.1%
1171 1
0.1%
1170 1
0.1%
1169 1
0.1%
1168 1
0.1%
1167 1
0.1%

연도별
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)1.0%
Missing2
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2017.7836
Minimum2011
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2023-12-12T19:45:02.355733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2013
Q12016
median2018
Q32019
95-th percentile2022
Maximum2022
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7654928
Coefficient of variation (CV)0.0013705596
Kurtosis-0.72871986
Mean2017.7836
Median Absolute Deviation (MAD)1
Skewness-0.19620127
Sum2368878
Variance7.6479506
MonotonicityIncreasing
2023-12-12T19:45:02.485954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2018 295
25.1%
2022 174
14.8%
2014 157
13.4%
2017 153
13.0%
2019 150
12.8%
2013 64
 
5.4%
2021 57
 
4.8%
2020 47
 
4.0%
2016 32
 
2.7%
2015 24
 
2.0%
Other values (2) 21
 
1.8%
ValueCountFrequency (%)
2011 2
 
0.2%
2012 19
 
1.6%
2013 64
 
5.4%
2014 157
13.4%
2015 24
 
2.0%
2016 32
 
2.7%
2017 153
13.0%
2018 295
25.1%
2019 150
12.8%
2020 47
 
4.0%
ValueCountFrequency (%)
2022 174
14.8%
2021 57
 
4.8%
2020 47
 
4.0%
2019 150
12.8%
2018 295
25.1%
2017 153
13.0%
2016 32
 
2.7%
2015 24
 
2.0%
2014 157
13.4%
2013 64
 
5.4%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
전라남도
1176 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 1176
100.0%

Length

2023-12-12T19:45:02.609925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:02.706913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 1176
100.0%

시군구
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
함평군
1174 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0017007
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
함평군 1174
99.8%
<NA> 2
 
0.2%

Length

2023-12-12T19:45:02.809741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:02.906682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
함평군 1174
99.8%
na 2
 
0.2%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
태양광
1172 
<NA>
 
2
바이오에너지
 
1
풍력
 
1

Length

Max length6
Median length3
Mean length3.0034014
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 1172
99.7%
<NA> 2
 
0.2%
바이오에너지 1
 
0.1%
풍력 1
 
0.1%

Length

2023-12-12T19:45:03.036579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:03.174849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 1172
99.7%
na 2
 
0.2%
바이오에너지 1
 
0.1%
풍력 1
 
0.1%

사업의 내용(발전소명)
Text

Distinct1113
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-12T19:45:03.689180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length10.767007
Min length4

Characters and Unicode

Total characters12662
Distinct characters357
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1056 ?
Unique (%)89.8%

Sample

1st row㈜한국에텍(실림 태양광발전소)
2nd row이문태양광발전소
3rd row샘골태양광발전소
4th row윤희중 태양광발전소
5th row용두 태양광발전소
ValueCountFrequency (%)
태양광발전소 696
34.9%
천지태양광발전소 22
 
1.1%
에너지농장 9
 
0.5%
태양광 7
 
0.4%
제2 7
 
0.4%
제1 7
 
0.4%
해오름 7
 
0.4%
주식회사 6
 
0.3%
승현 5
 
0.3%
은혜 4
 
0.2%
Other values (1099) 1225
61.4%
2023-12-12T19:45:04.478278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 1177
 
9.3%
광 1156
 
9.1%
전 1146
 
9.1%
발 1137
 
9.0%
소 1135
 
9.0%
태 1134
 
9.0%
821
 
6.5%
호 522
 
4.1%
1 205
 
1.6%
2 191
 
1.5%
Other values (347) 4038
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10917
86.2%
Space Separator 821
 
6.5%
Decimal Number 713
 
5.6%
Close Punctuation 74
 
0.6%
Open Punctuation 74
 
0.6%
Uppercase Letter 32
 
0.3%
Other Symbol 20
 
0.2%
Lowercase Letter 5
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 1177
 
10.8%
광 1156
 
10.6%
전 1146
 
10.5%
발 1137
 
10.4%
소 1135
 
10.4%
태 1134
 
10.4%
호 522
 
4.8%
평 134
 
1.2%
함 130
 
1.2%
지 123
 
1.1%
Other values (315) 3123
28.6%
Uppercase Letter
ValueCountFrequency (%)
S 8
25.0%
J 6
18.8%
K 4
12.5%
N 4
12.5%
G 2
 
6.2%
C 2
 
6.2%
E 2
 
6.2%
H 1
 
3.1%
F 1
 
3.1%
L 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 205
28.8%
2 191
26.8%
3 103
14.4%
4 60
 
8.4%
5 40
 
5.6%
6 32
 
4.5%
7 25
 
3.5%
0 23
 
3.2%
8 17
 
2.4%
9 17
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
20.0%
p 1
20.0%
c 1
20.0%
o 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
821
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10937
86.4%
Common 1688
 
13.3%
Latin 37
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 1177
 
10.8%
광 1156
 
10.6%
전 1146
 
10.5%
발 1137
 
10.4%
소 1135
 
10.4%
태 1134
 
10.4%
호 522
 
4.8%
평 134
 
1.2%
함 130
 
1.2%
지 123
 
1.1%
Other values (316) 3143
28.7%
Latin
ValueCountFrequency (%)
S 8
21.6%
J 6
16.2%
K 4
10.8%
N 4
10.8%
G 2
 
5.4%
C 2
 
5.4%
E 2
 
5.4%
k 1
 
2.7%
H 1
 
2.7%
p 1
 
2.7%
Other values (6) 6
16.2%
Common
ValueCountFrequency (%)
821
48.6%
1 205
 
12.1%
2 191
 
11.3%
3 103
 
6.1%
) 74
 
4.4%
( 74
 
4.4%
4 60
 
3.6%
5 40
 
2.4%
6 32
 
1.9%
7 25
 
1.5%
Other values (5) 63
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10917
86.2%
ASCII 1725
 
13.6%
None 20
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 1177
 
10.8%
광 1156
 
10.6%
전 1146
 
10.5%
발 1137
 
10.4%
소 1135
 
10.4%
태 1134
 
10.4%
호 522
 
4.8%
평 134
 
1.2%
함 130
 
1.2%
지 123
 
1.1%
Other values (315) 3123
28.6%
ASCII
ValueCountFrequency (%)
821
47.6%
1 205
 
11.9%
2 191
 
11.1%
3 103
 
6.0%
) 74
 
4.3%
( 74
 
4.3%
4 60
 
3.5%
5 40
 
2.3%
6 32
 
1.9%
7 25
 
1.4%
Other values (21) 100
 
5.8%
None
ValueCountFrequency (%)
㈜ 20
100.0%

사업장소
Text

Distinct924
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-12T19:45:04.991620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length166
Median length83
Mean length28.089286
Min length16

Characters and Unicode

Total characters33033
Distinct characters186
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique795 ?
Unique (%)67.6%

Sample

1st row전라남도 함평군 나산면 삼축리 1184-1외 4(1184,184-3,184-14,185-1)
2nd row전라남도 함평군 나산면 시무뢰길 27-4
3rd row전라남도 함평군 손불면 동암로 194
4th row전라남도 함평군 대동면 상교길 37-4
5th row전라남도 함평군 나산면 용머리길 30
ValueCountFrequency (%)
전라남도 1176
 
16.0%
함평군 1173
 
16.0%
손불면 315
 
4.3%
277
 
3.8%
월야면 179
 
2.4%
토지위 161
 
2.2%
함평읍 147
 
2.0%
나산면 130
 
1.8%
죽장리 123
 
1.7%
해보면 107
 
1.5%
Other values (1430) 3554
48.4%
2023-12-12T19:45:05.728556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6202
 
18.8%
1 1408
 
4.3%
함 1330
 
4.0%
평 1325
 
4.0%
- 1312
 
4.0%
남 1229
 
3.7%
전 1184
 
3.6%
도 1176
 
3.6%
라 1176
 
3.6%
군 1174
 
3.6%
Other values (176) 15517
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17260
52.3%
Decimal Number 7047
21.3%
Space Separator 6202
 
18.8%
Dash Punctuation 1312
 
4.0%
Other Punctuation 1081
 
3.3%
Close Punctuation 61
 
0.2%
Open Punctuation 60
 
0.2%
Uppercase Letter 9
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 1330
 
7.7%
평 1325
 
7.7%
남 1229
 
7.1%
전 1184
 
6.9%
도 1176
 
6.8%
라 1176
 
6.8%
군 1174
 
6.8%
리 1041
 
6.0%
면 1025
 
5.9%
산 537
 
3.1%
Other values (156) 6063
35.1%
Decimal Number
ValueCountFrequency (%)
1 1408
20.0%
2 900
12.8%
3 813
11.5%
4 666
9.5%
5 647
9.2%
8 633
9.0%
7 608
8.6%
6 564
8.0%
0 413
 
5.9%
9 395
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 5
55.6%
B 2
 
22.2%
C 2
 
22.2%
Other Punctuation
ValueCountFrequency (%)
, 804
74.4%
/ 277
 
25.6%
Space Separator
ValueCountFrequency (%)
6202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17260
52.3%
Common 15764
47.7%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 1330
 
7.7%
평 1325
 
7.7%
남 1229
 
7.1%
전 1184
 
6.9%
도 1176
 
6.8%
라 1176
 
6.8%
군 1174
 
6.8%
리 1041
 
6.0%
면 1025
 
5.9%
산 537
 
3.1%
Other values (156) 6063
35.1%
Common
ValueCountFrequency (%)
6202
39.3%
1 1408
 
8.9%
- 1312
 
8.3%
2 900
 
5.7%
3 813
 
5.2%
, 804
 
5.1%
4 666
 
4.2%
5 647
 
4.1%
8 633
 
4.0%
7 608
 
3.9%
Other values (7) 1771
 
11.2%
Latin
ValueCountFrequency (%)
A 5
55.6%
B 2
 
22.2%
C 2
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17260
52.3%
ASCII 15773
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6202
39.3%
1 1408
 
8.9%
- 1312
 
8.3%
2 900
 
5.7%
3 813
 
5.2%
, 804
 
5.1%
4 666
 
4.2%
5 647
 
4.1%
8 633
 
4.0%
7 608
 
3.9%
Other values (10) 1780
 
11.3%
Hangul
ValueCountFrequency (%)
함 1330
 
7.7%
평 1325
 
7.7%
남 1229
 
7.1%
전 1184
 
6.9%
도 1176
 
6.8%
라 1176
 
6.8%
군 1174
 
6.8%
리 1041
 
6.0%
면 1025
 
5.9%
산 537
 
3.1%
Other values (156) 6063
35.1%

허가(MW)
Real number (ℝ)

HIGH CORRELATION 

Distinct75
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21835034
Minimum0.01
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2023-12-12T19:45:05.952016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.1
median0.1
Q30.2
95-th percentile1
Maximum3
Range2.99
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.28861194
Coefficient of variation (CV)1.3217838
Kurtosis13.611974
Mean0.21835034
Median Absolute Deviation (MAD)0.02
Skewness3.0470083
Sum256.78
Variance0.083296851
MonotonicityNot monotonic
2023-12-12T19:45:06.130520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 573
48.7%
0.01 62
 
5.3%
0.5 59
 
5.0%
1.0 56
 
4.8%
0.2 54
 
4.6%
0.3 37
 
3.1%
0.02 32
 
2.7%
0.05 32
 
2.7%
0.03 27
 
2.3%
0.07 26
 
2.2%
Other values (65) 218
 
18.5%
ValueCountFrequency (%)
0.01 62
 
5.3%
0.02 32
 
2.7%
0.03 27
 
2.3%
0.04 10
 
0.9%
0.05 32
 
2.7%
0.06 19
 
1.6%
0.07 26
 
2.2%
0.08 17
 
1.4%
0.09 6
 
0.5%
0.1 573
48.7%
ValueCountFrequency (%)
3.0 1
 
0.1%
2.0 2
 
0.2%
1.98 1
 
0.1%
1.96 1
 
0.1%
1.58 1
 
0.1%
1.48 1
 
0.1%
1.1 1
 
0.1%
1.0 56
4.8%
0.99 9
 
0.8%
0.98 4
 
0.3%

허가일
Date

Distinct411
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2011-09-23 00:00:00
Maximum2022-11-10 00:00:00
2023-12-12T19:45:06.313461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:06.554791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct192
Distinct (%)63.8%
Missing875
Missing (%)74.4%
Memory size9.3 KiB
Minimum2012-01-20 00:00:00
Maximum2022-10-13 00:00:00
2023-12-12T19:45:06.750963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:06.976922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
False
879 
True
297 
ValueCountFrequency (%)
False 879
74.7%
True 297
 
25.3%
2023-12-12T19:45:07.162576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T19:45:00.739148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:44:59.962903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:00.382534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:00.877899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:00.108281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:00.496567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:01.026456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:00.248338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:00.626001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:45:07.263763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도별구분허가(MW)사업개시여부
연번1.0000.9710.0110.2190.681
연도별0.9711.0000.2710.2530.679
구분0.0110.2711.0000.8420.000
허가(MW)0.2190.2530.8421.0000.111
사업개시여부0.6810.6790.0000.1111.000
2023-12-12T19:45:07.391182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군구사업개시여부
구분1.0001.0000.000
시군구1.0001.0001.000
사업개시여부0.0001.0001.000
2023-12-12T19:45:07.525310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연도별허가(MW)시군구구분사업개시여부
연번1.0000.987-0.1161.0000.0060.529
연도별0.9871.000-0.1331.0000.1670.525
허가(MW)-0.116-0.1331.0001.0000.7870.083
시군구1.0001.0001.0001.0001.0001.000
구분0.0060.1670.7871.0001.0000.000
사업개시여부0.5290.5250.0831.0000.0001.000

Missing values

2023-12-12T19:45:01.209584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:45:01.417931image/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.
2023-12-12T19:45:01.566932image/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

연번연도별시도시군구구분사업의 내용(발전소명)사업장소허가(MW)허가일사업개시일사업개시여부
012011전라남도함평군태양광㈜한국에텍(실림 태양광발전소)전라남도 함평군 나산면 삼축리 1184-1외 4(1184,184-3,184-14,185-1)0.62011-09-23<NA>N
122011전라남도함평군태양광이문태양광발전소전라남도 함평군 나산면 시무뢰길 27-40.012011-12-062012-01-20Y
232012전라남도함평군태양광샘골태양광발전소전라남도 함평군 손불면 동암로 1940.072012-01-172012-04-02Y
342012전라남도함평군태양광윤희중 태양광발전소전라남도 함평군 대동면 상교길 37-40.012012-01-272012-03-22Y
452012전라남도함평군태양광용두 태양광발전소전라남도 함평군 나산면 용머리길 300.012012-01-27<NA>N
562012전라남도함평군태양광에너지농장 함평2호태양광발전소전라남도 함평군 엄다면 화양길 640.022012-04-032013-02-22Y
672012전라남도함평군태양광에너지농장 함평1호태양광발전소전라남도 함평군 해보면 밀재로 1147-340.062012-04-052013-02-08Y
782012전라남도함평군태양광㈜에이치엠알(에이치엠알 태양광발전소)전라남도 함평군 학교면 학교공단길 480.22012-06-18<NA>N
892012전라남도함평군태양광이방행 태양광발전소전라남도 함평군 함평읍 중앙길 210.032012-07-102013-07-05Y
9102012전라남도함평군태양광쌍둥이 태양광발전소전라남도 함평군 월야면 외치리 285외 6(283-11,283-12,284-1,283-7,284-6,284-2)0.62012-08-292012-10-10Y
연번연도별시도시군구구분사업의 내용(발전소명)사업장소허가(MW)허가일사업개시일사업개시여부
116611672022전라남도함평군태양광함평나비1호 태양광발전소전라남도 함평군 신광면 가덕리 352, 5330.12022-10-05<NA>N
116711682022전라남도함평군태양광아랑 태양광발전소전라남도 함평군 나산면 월봉리 947-20.22022-10-05<NA>N
116811692022전라남도함평군태양광학천3호 태양광발전소전라남도 함평군 신광면 가덕리 6720.052022-10-21<NA>N
116911702022전라남도함평군태양광승환3호 태양광발전소전라남도 함평군 월야면 정산리 1004-1, 1004-2 주1동0.052022-11-01<NA>N
117011712022전라남도함평군태양광승환2호 태양광발전소전라남도 함평군 월야면 정산리 1004-1, 1004-2 주1동0.12022-11-01<NA>N
117111722022전라남도함평군태양광승환1호 태양광발전소전라남도 함평군 월야면 정산리 1004-1, 1004-2 주1동0.12022-11-01<NA>N
117211732022전라남도함평군태양광금덕2호 태양광발전소전라남도 함평군 해보면 금덕리 280-10, 272-10.42022-11-07<NA>N
117311742022전라남도함평군태양광한성 태양광발전소전라남도 함평군 월야면 용정리 7150.462022-11-09<NA>N
117411752022전라남도함평군태양광우치5호 태양광발전소전라남도 함평군 나산면 우치리 4830.12022-11-10<NA>N
117511762022전라남도함평군태양광우치4호 태양광발전소전라남도 함평군 나산면 우치리 4830.12022-11-10<NA>N