Overview

Dataset statistics

Number of variables15
Number of observations483
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.1 KiB
Average record size in memory123.3 B

Variable types

Numeric2
Text2
Categorical7
DateTime4

Dataset

Description경상남도 사천시 내 태양광 발전소에 관한 현황 정보(이름, 주소, 설비용량, 공급전압 등)를 공공데이터로 제공합니다.
Author경상남도 사천시
URLhttps://www.data.go.kr/data/15035672/fileData.do

Alerts

원동력의종류 has constant value ""Constant
데이터기준일 has constant value ""Constant
지목 is highly overall correlated with 기타사항High correlation
기타사항 is highly overall correlated with 지목High correlation
공급전압V is highly imbalanced (70.6%)Imbalance
주파수Hz is highly imbalanced (97.9%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:23:48.965507
Analysis finished2023-12-12 01:23:50.433389
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct483
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242
Minimum1
Maximum483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-12T10:23:50.516551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.1
Q1121.5
median242
Q3362.5
95-th percentile458.9
Maximum483
Range482
Interquartile range (IQR)241

Descriptive statistics

Standard deviation139.57435
Coefficient of variation (CV)0.57675352
Kurtosis-1.2
Mean242
Median Absolute Deviation (MAD)121
Skewness0
Sum116886
Variance19481
MonotonicityStrictly increasing
2023-12-12T10:23:50.661221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
304 1
 
0.2%
332 1
 
0.2%
331 1
 
0.2%
330 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
Other values (473) 473
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
483 1
0.2%
482 1
0.2%
481 1
0.2%
480 1
0.2%
479 1
0.2%
478 1
0.2%
477 1
0.2%
476 1
0.2%
475 1
0.2%
474 1
0.2%
Distinct479
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T10:23:50.941905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length10.018634
Min length4

Characters and Unicode

Total characters4839
Distinct characters301
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique475 ?
Unique (%)98.3%

Sample

1st row사천남양에너지3호
2nd row축동태양광발전소
3rd row금선태양광발전소
4th row준화태양광발전소
5th row사촌2호태양광발전소
ValueCountFrequency (%)
태양광발전소 43
 
7.4%
발전소 11
 
1.9%
수상태양광발전소 10
 
1.7%
태양광 7
 
1.2%
주식회사 5
 
0.9%
대진제2발전소 2
 
0.3%
한국농어촌공사 2
 
0.3%
2호 2
 
0.3%
옥선파워 2
 
0.3%
황금알태양광발전소 2
 
0.3%
Other values (487) 494
85.2%
2023-12-12T10:23:51.375680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
456
 
9.4%
456
 
9.4%
455
 
9.4%
450
 
9.3%
448
 
9.3%
445
 
9.2%
97
 
2.0%
89
 
1.8%
80
 
1.7%
63
 
1.3%
Other values (291) 1800
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4420
91.3%
Decimal Number 154
 
3.2%
Space Separator 97
 
2.0%
Open Punctuation 70
 
1.4%
Close Punctuation 69
 
1.4%
Uppercase Letter 24
 
0.5%
Other Punctuation 3
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
456
 
10.3%
456
 
10.3%
455
 
10.3%
450
 
10.2%
448
 
10.1%
445
 
10.1%
89
 
2.0%
80
 
1.8%
63
 
1.4%
63
 
1.4%
Other values (262) 1415
32.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
25.0%
J 4
16.7%
K 3
12.5%
H 3
12.5%
L 2
 
8.3%
M 2
 
8.3%
B 1
 
4.2%
W 1
 
4.2%
C 1
 
4.2%
Y 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 55
35.7%
2 50
32.5%
3 15
 
9.7%
5 11
 
7.1%
0 11
 
7.1%
6 5
 
3.2%
4 4
 
2.6%
8 2
 
1.3%
7 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
1
33.3%
& 1
33.3%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 59
84.3%
[ 11
 
15.7%
Close Punctuation
ValueCountFrequency (%)
) 58
84.1%
] 11
 
15.9%
Lowercase Letter
ValueCountFrequency (%)
w 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4420
91.3%
Common 393
 
8.1%
Latin 26
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
456
 
10.3%
456
 
10.3%
455
 
10.3%
450
 
10.2%
448
 
10.1%
445
 
10.1%
89
 
2.0%
80
 
1.8%
63
 
1.4%
63
 
1.4%
Other values (262) 1415
32.0%
Common
ValueCountFrequency (%)
97
24.7%
( 59
15.0%
) 58
14.8%
1 55
14.0%
2 50
12.7%
3 15
 
3.8%
5 11
 
2.8%
[ 11
 
2.8%
] 11
 
2.8%
0 11
 
2.8%
Other values (7) 15
 
3.8%
Latin
ValueCountFrequency (%)
S 6
23.1%
J 4
15.4%
K 3
11.5%
H 3
11.5%
L 2
 
7.7%
M 2
 
7.7%
B 1
 
3.8%
W 1
 
3.8%
w 1
 
3.8%
k 1
 
3.8%
Other values (2) 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4420
91.3%
ASCII 418
 
8.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
456
 
10.3%
456
 
10.3%
455
 
10.3%
450
 
10.2%
448
 
10.1%
445
 
10.1%
89
 
2.0%
80
 
1.8%
63
 
1.4%
63
 
1.4%
Other values (262) 1415
32.0%
ASCII
ValueCountFrequency (%)
97
23.2%
( 59
14.1%
) 58
13.9%
1 55
13.2%
2 50
12.0%
3 15
 
3.6%
5 11
 
2.6%
[ 11
 
2.6%
] 11
 
2.6%
0 11
 
2.6%
Other values (18) 40
9.6%
None
ValueCountFrequency (%)
1
100.0%
Distinct382
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T10:23:51.817723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length55
Mean length24.070393
Min length12

Characters and Unicode

Total characters11626
Distinct characters133
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)70.2%

Sample

1st row경남 사천시 죽림동 1007-4번지
2nd row경남 사천시 축동면 가산리 1134-1, 577, 582, 578-4번지
3rd row경남 사천시 정동면 소곡리 1005번지
4th row경남 사천시 사천읍 두량리 836-1번지
5th row경남 사천시 사남면 사촌리 888번지
ValueCountFrequency (%)
사천시 482
18.4%
경남 343
 
13.1%
서포면 204
 
7.8%
경상남도 126
 
4.8%
다평리 104
 
4.0%
곤양면 78
 
3.0%
곤명면 68
 
2.6%
43
 
1.6%
마곡리 28
 
1.1%
사남면 26
 
1.0%
Other values (650) 1113
42.6%
2023-12-12T10:23:52.441194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2132
18.3%
1 640
 
5.5%
549
 
4.7%
519
 
4.5%
500
 
4.3%
483
 
4.2%
472
 
4.1%
- 471
 
4.1%
419
 
3.6%
407
 
3.5%
Other values (123) 5034
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6213
53.4%
Decimal Number 2594
22.3%
Space Separator 2132
 
18.3%
Dash Punctuation 471
 
4.1%
Other Punctuation 206
 
1.8%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
549
 
8.8%
519
 
8.4%
500
 
8.0%
483
 
7.8%
472
 
7.6%
419
 
6.7%
407
 
6.6%
310
 
5.0%
301
 
4.8%
216
 
3.5%
Other values (108) 2037
32.8%
Decimal Number
ValueCountFrequency (%)
1 640
24.7%
2 324
12.5%
3 300
11.6%
5 239
 
9.2%
4 234
 
9.0%
6 210
 
8.1%
9 182
 
7.0%
7 172
 
6.6%
8 147
 
5.7%
0 146
 
5.6%
Space Separator
ValueCountFrequency (%)
2132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 471
100.0%
Other Punctuation
ValueCountFrequency (%)
, 206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6213
53.4%
Common 5413
46.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
549
 
8.8%
519
 
8.4%
500
 
8.0%
483
 
7.8%
472
 
7.6%
419
 
6.7%
407
 
6.6%
310
 
5.0%
301
 
4.8%
216
 
3.5%
Other values (108) 2037
32.8%
Common
ValueCountFrequency (%)
2132
39.4%
1 640
 
11.8%
- 471
 
8.7%
2 324
 
6.0%
3 300
 
5.5%
5 239
 
4.4%
4 234
 
4.3%
6 210
 
3.9%
, 206
 
3.8%
9 182
 
3.4%
Other values (5) 475
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6213
53.4%
ASCII 5413
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2132
39.4%
1 640
 
11.8%
- 471
 
8.7%
2 324
 
6.0%
3 300
 
5.5%
5 239
 
4.4%
4 234
 
4.3%
6 210
 
3.9%
, 206
 
3.8%
9 182
 
3.4%
Other values (5) 475
 
8.8%
Hangul
ValueCountFrequency (%)
549
 
8.8%
519
 
8.4%
500
 
8.0%
483
 
7.8%
472
 
7.6%
419
 
6.7%
407
 
6.6%
310
 
5.0%
301
 
4.8%
216
 
3.5%
Other values (108) 2037
32.8%

지목
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
잡종지
141 
임야
113 
60 
45 
공장용지
20 
Other values (30)
104 

Length

Max length11
Median length9
Mean length2.5217391
Min length1

Unique

Unique15 ?
Unique (%)3.1%

Sample

1st row
2nd row도로
3rd row
4th row잡종지
5th row양어장

Common Values

ValueCountFrequency (%)
잡종지 141
29.2%
임야 113
23.4%
60
12.4%
45
 
9.3%
공장용지 20
 
4.1%
창고용지 18
 
3.7%
16
 
3.3%
목장용지 13
 
2.7%
임야,전 8
 
1.7%
<NA> 7
 
1.4%
Other values (25) 42
 
8.7%

Length

2023-12-12T10:23:52.660578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
잡종지 141
29.2%
임야 113
23.4%
60
12.4%
45
 
9.3%
공장용지 20
 
4.1%
창고용지 18
 
3.7%
16
 
3.3%
목장용지 13
 
2.7%
임야,전 8
 
1.7%
na 7
 
1.4%
Other values (25) 42
 
8.7%

영업구분
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
사업개시
220 
인허가
204 
인허가취소
31 
공사진행
25 
폐업
 
3

Length

Max length5
Median length4
Mean length3.6293996
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 220
45.5%
인허가 204
42.2%
인허가취소 31
 
6.4%
공사진행 25
 
5.2%
폐업 3
 
0.6%

Length

2023-12-12T10:23:52.848891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:23:52.986184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 220
45.5%
인허가 204
42.2%
인허가취소 31
 
6.4%
공사진행 25
 
5.2%
폐업 3
 
0.6%

원동력의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
태양광
483 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 483
100.0%

Length

2023-12-12T10:23:53.138892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:23:53.253497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 483
100.0%

설비용량KW
Real number (ℝ)

Distinct200
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.16946
Minimum3
Maximum999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-12T10:23:53.424816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile20
Q196
median99
Q3295.245
95-th percentile997.5
Maximum999.9
Range996.9
Interquartile range (IQR)199.245

Descriptive statistics

Standard deviation293.5328
Coefficient of variation (CV)1.2273005
Kurtosis1.8608894
Mean239.16946
Median Absolute Deviation (MAD)12.6
Skewness1.7928797
Sum115518.85
Variance86161.505
MonotonicityNot monotonic
2023-12-12T10:23:53.605547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 72
 
14.9%
98.28 25
 
5.2%
97.92 18
 
3.7%
97.47 14
 
2.9%
99.36 14
 
2.9%
999.0 12
 
2.5%
96.0 11
 
2.3%
94.08 10
 
2.1%
98.0 10
 
2.1%
98.8 9
 
1.9%
Other values (190) 288
59.6%
ValueCountFrequency (%)
3.0 1
0.2%
6.89 1
0.2%
9.73 1
0.2%
9.74 1
0.2%
9.95 1
0.2%
10.0 2
0.4%
11.5 1
0.2%
12.0 1
0.2%
13.5 1
0.2%
14.04 1
0.2%
ValueCountFrequency (%)
999.9 2
 
0.4%
999.0 12
2.5%
998.82 1
 
0.2%
998.64 5
1.0%
997.92 1
 
0.2%
997.56 4
 
0.8%
996.96 1
 
0.2%
996.84 4
 
0.8%
996.45 1
 
0.2%
995.52 1
 
0.2%

공급전압V
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
380
397 
22,900
64 
220
 
8
220/380
 
6
380/220
 
2
Other values (4)
 
6

Length

Max length9
Median length3
Mean length3.4865424
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row380
2nd row380
3rd row220
4th row380
5th row380

Common Values

ValueCountFrequency (%)
380 397
82.2%
22,900 64
 
13.3%
220 8
 
1.7%
220/380 6
 
1.2%
380/220 2
 
0.4%
308 2
 
0.4%
22900 2
 
0.4%
3810 1
 
0.2%
삼상4선식 380 1
 
0.2%

Length

2023-12-12T10:23:53.835494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:23:53.961301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 398
82.2%
22,900 64
 
13.2%
220 8
 
1.7%
220/380 6
 
1.2%
380/220 2
 
0.4%
308 2
 
0.4%
22900 2
 
0.4%
3810 1
 
0.2%
삼상4선식 1
 
0.2%

주파수Hz
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
60
482 
6
 
1

Length

Max length2
Median length2
Mean length1.9979296
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
60 482
99.8%
6 1
 
0.2%

Length

2023-12-12T10:23:54.132186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:23:54.248137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 482
99.8%
6 1
 
0.2%
Distinct187
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2012-02-27 00:00:00
Maximum2019-12-12 00:00:00
2023-12-12T10:23:54.378056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:54.534487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct137
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2015-07-31 00:00:00
Maximum2019-12-12 00:00:00
2023-12-12T10:23:54.673546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:54.828401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct203
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2012-02-27 00:00:00
Maximum2019-12-12 00:00:00
2023-12-12T10:23:54.990498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:55.135313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct224
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2013-12-24 00:00:00
Maximum2022-03-10 00:00:00
2023-12-12T10:23:55.295598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:55.463496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기타사항
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
토지 위
189 
토지 위 설치
121 
건물 위
57 
건물 위 설치
45 
지붕 위
22 
Other values (10)
49 

Length

Max length12
Median length4
Mean length5.1200828
Min length3

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row지붕 위
2nd row건물 위
3rd row지붕 위
4th row지붕 위
5th row지붕 위

Common Values

ValueCountFrequency (%)
토지 위 189
39.1%
토지 위 설치 121
25.1%
건물 위 57
 
11.8%
건물 위 설치 45
 
9.3%
지붕 위 22
 
4.6%
토지위 12
 
2.5%
건물위 10
 
2.1%
저수지 위 7
 
1.4%
수상태양광 6
 
1.2%
토지 위 5
 
1.0%
Other values (5) 9
 
1.9%

Length

2023-12-12T10:23:55.611657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
451
40.4%
토지 319
28.6%
설치 170
 
15.2%
건물 108
 
9.7%
지붕 22
 
2.0%
토지위 15
 
1.3%
건물위 12
 
1.1%
저수지 7
 
0.6%
수상태양광 6
 
0.5%
4
 
0.4%
Other values (2) 2
 
0.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2019-12-12
483 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-12
2nd row2019-12-12
3rd row2019-12-12
4th row2019-12-12
5th row2019-12-12

Common Values

ValueCountFrequency (%)
2019-12-12 483
100.0%

Length

2023-12-12T10:23:55.754800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:23:55.852122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-12 483
100.0%

Interactions

2023-12-12T10:23:49.893785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:49.718429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:49.983493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:23:49.802029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:23:56.306081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지목영업구분설비용량KW공급전압V주파수Hz기타사항
순번1.0000.6870.6590.3390.3580.0000.807
지목0.6871.0000.6370.5540.3980.0000.900
영업구분0.6590.6371.0000.3520.2700.0000.611
설비용량KW0.3390.5540.3521.0000.7440.2120.501
공급전압V0.3580.3980.2700.7441.0000.0000.344
주파수Hz0.0000.0000.0000.2120.0001.0000.000
기타사항0.8070.9000.6110.5010.3440.0001.000
2023-12-12T10:23:56.442497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급전압V기타사항지목영업구분주파수Hz
공급전압V1.0000.1460.1540.1590.000
기타사항0.1461.0000.5150.3040.000
지목0.1540.5151.0000.3480.000
영업구분0.1590.3040.3481.0000.000
주파수Hz0.0000.0000.0000.0001.000
2023-12-12T10:23:56.583081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량KW지목영업구분공급전압V주파수Hz기타사항
순번1.000-0.1510.3110.3310.1710.0000.457
설비용량KW-0.1511.0000.2330.2110.3250.2100.228
지목0.3110.2331.0000.3480.1540.0000.515
영업구분0.3310.2110.3481.0000.1590.0000.304
공급전압V0.1710.3250.1540.1591.0000.0000.146
주파수Hz0.0000.2100.0000.0000.0001.0000.000
기타사항0.4570.2280.5150.3040.1460.0001.000

Missing values

2023-12-12T10:23:50.130961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:23:50.345624image/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

순번발전소명발전소 주소지목영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자접수(등록)일자준비시간시작일준비기간종료일기타사항데이터기준일
01사천남양에너지3호경남 사천시 죽림동 1007-4번지인허가태양광19.71380602019-12-122019-12-122019-12-122021-06-11지붕 위2019-12-12
12축동태양광발전소경남 사천시 축동면 가산리 1134-1, 577, 582, 578-4번지도로인허가태양광54.6380602019-12-042019-12-052019-12-042021-06-03건물 위2019-12-12
23금선태양광발전소경남 사천시 정동면 소곡리 1005번지인허가태양광18.26220602019-12-042019-12-052019-12-042021-06-03지붕 위2019-12-12
34준화태양광발전소경남 사천시 사천읍 두량리 836-1번지잡종지인허가태양광50.22380602019-11-272019-11-272019-11-272021-05-26지붕 위2019-12-12
45사촌2호태양광발전소경남 사천시 사남면 사촌리 888번지양어장인허가태양광171.6380602019-11-212019-11-212019-11-212021-05-20지붕 위2019-12-12
56사촌1호태양광발전소경남 사천시 사남면 사촌리 888번지양어장인허가태양광171.6380602019-11-212019-11-212019-11-212021-05-20지붕 위2019-12-12
67다올태양광발전소경남 사천시 사천읍 두량리 1346-3번지공장용지인허가태양광85.0380602019-11-192019-11-202019-11-192021-05-18지붕 위2019-12-12
78하홍기1호태양광발전소경남 사천시 곤양면 환덕리 1172-177번지목장용지인허가태양광99.75380602019-11-192019-11-202019-11-192021-05-18지붕 위2019-12-12
89SL태양광발전소경남 사천시 곤명면 추천리 703-9번지인허가태양광19.5380602019-11-192019-11-202019-11-192021-05-18지붕 위2019-12-12
910해동1태양광발전소경남 사천시 사천읍 구암리 64-3번지창고용지인허가태양광84.0380602019-11-182019-11-182019-11-182021-05-17지붕 위2019-12-12
순번발전소명발전소 주소지목영업구분원동력의종류설비용량KW공급전압V주파수Hz허가일자접수(등록)일자준비시간시작일준비기간종료일기타사항데이터기준일
473474영석태양광발전소경상남도 사천시 사남면 초전로 53-3사업개시태양광9.73380602012-07-252016-06-172012-07-252014-07-24건물 위 설치2019-12-12
474475백청수태양광발전소경상남도 사천시 사남면 초전로22사업개시태양광9.74380602012-07-192016-06-172012-07-192014-07-18건물 위 설치2019-12-12
475476장태경태양광발전소경상남도 사천시 사남면 초전로 53-2사업개시태양광6.89380602012-07-192016-06-172012-07-192014-07-18토지 위 설치2019-12-12
476477썬이앤씨4 태양광발전소경상남도 사천시 사남면 초전로 50-1사업개시태양광55.0380602012-07-042016-06-172012-07-042014-07-03토지 위 설치2019-12-12
477478차연옥태양광발전소경상남도 사천시 사남면 초전리 402-1사업개시태양광28.2380602012-06-212016-06-172012-06-212014-06-20토지 위 설치2019-12-12
478479은민태양광발전소경상남도 사천시 사남면 방지리 323사업개시태양광55.0380602012-06-202016-06-172012-06-202014-06-19토지 위 설치2019-12-12
479480채경근태양광발전소경상남도 사천시 정동면 고읍1길 89사업개시태양광13.5380602012-04-102016-06-172012-04-102014-04-09건물 위 설치2019-12-12
480481안중열태양광발전소경상남도 사천시 사남면 초전로 28사업개시태양광32.4380602012-03-262016-06-172012-03-262014-03-25건물 위 설치2019-12-12
481482썬이앤씨2 태양광발전소경상남도 사천시 사남면 초전로 53-2사업개시태양광3.0380602012-02-292016-06-172012-02-292014-02-28건물 위 설치2019-12-12
482483썬이앤씨태양광발전소경상남도 사천시 사남면 초전리 576사업개시태양광33.0380602012-02-272016-06-172012-02-272014-02-26건물 위 설치2019-12-12