Overview

Dataset statistics

Number of variables9
Number of observations393
Missing cells61
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory75.3 B

Variable types

Text4
Numeric1
DateTime2
Categorical2

Dataset

Description전라남도 여수시에 존재하는 전기사업허가를 득한 태양광 발전소 현황입니다.(발전소명, 주소, 설비용량, 허가일, 개시일 등)
URLhttps://www.data.go.kr/data/15039459/fileData.do

Alerts

주파수(Hz) has constant value ""Constant
전압(V) is highly imbalanced (72.1%)Imbalance
주소 has 14 (3.6%) missing valuesMissing
사업개시일 has 47 (12.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:14:51.070133
Analysis finished2023-12-12 13:14:51.993801
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Text

Distinct388
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T22:14:52.188281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length6.2061069
Min length1

Characters and Unicode

Total characters2439
Distinct characters277
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique383 ?
Unique (%)97.5%

Sample

1st row켑코솔라㈜(kepco-11-F9-승산팩 태양광발전소)
2nd rowGS칼텍스중흥주유소
3rd row금오 제1 태양광발전소
4th row금오 제2 태양광발전소
5th row금오 제4 태양광발전소
ValueCountFrequency (%)
태양 31
 
6.0%
태양광발전소 30
 
5.8%
금오 11
 
2.1%
1호 6
 
1.2%
금계농장 6
 
1.2%
소라 5
 
1.0%
유한회사 4
 
0.8%
2호 4
 
0.8%
종원 4
 
0.8%
코리아에너지발전소(주 3
 
0.6%
Other values (394) 416
80.0%
2023-12-12T22:14:52.614676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 138
 
5.7%
태 136
 
5.6%
호 127
 
5.2%
122
 
5.0%
소 83
 
3.4%
광 78
 
3.2%
전 77
 
3.2%
발 73
 
3.0%
1 72
 
3.0%
2 53
 
2.2%
Other values (267) 1480
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1960
80.4%
Decimal Number 204
 
8.4%
Space Separator 122
 
5.0%
Uppercase Letter 34
 
1.4%
Open Punctuation 26
 
1.1%
Close Punctuation 26
 
1.1%
Lowercase Letter 20
 
0.8%
Control 17
 
0.7%
Dash Punctuation 13
 
0.5%
Other Symbol 13
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 138
 
7.0%
태 136
 
6.9%
호 127
 
6.5%
소 83
 
4.2%
광 78
 
4.0%
전 77
 
3.9%
발 73
 
3.7%
에 41
 
2.1%
지 38
 
1.9%
너 28
 
1.4%
Other values (231) 1141
58.2%
Uppercase Letter
ValueCountFrequency (%)
J 6
17.6%
G 6
17.6%
S 6
17.6%
B 3
8.8%
O 3
8.8%
P 2
 
5.9%
Y 2
 
5.9%
T 1
 
2.9%
C 1
 
2.9%
F 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
1 72
35.3%
2 53
26.0%
3 23
 
11.3%
4 16
 
7.8%
5 12
 
5.9%
0 9
 
4.4%
6 7
 
3.4%
7 5
 
2.5%
9 4
 
2.0%
8 3
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
o 4
20.0%
k 4
20.0%
e 4
20.0%
p 4
20.0%
c 4
20.0%
Other Punctuation
ValueCountFrequency (%)
? 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Control
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1973
80.9%
Common 412
 
16.9%
Latin 54
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 138
 
7.0%
태 136
 
6.9%
호 127
 
6.4%
소 83
 
4.2%
광 78
 
4.0%
전 77
 
3.9%
발 73
 
3.7%
에 41
 
2.1%
지 38
 
1.9%
너 28
 
1.4%
Other values (232) 1154
58.5%
Latin
ValueCountFrequency (%)
J 6
11.1%
G 6
11.1%
S 6
11.1%
o 4
 
7.4%
k 4
 
7.4%
e 4
 
7.4%
p 4
 
7.4%
c 4
 
7.4%
B 3
 
5.6%
O 3
 
5.6%
Other values (8) 10
18.5%
Common
ValueCountFrequency (%)
122
29.6%
1 72
17.5%
2 53
12.9%
( 26
 
6.3%
) 26
 
6.3%
3 23
 
5.6%
17
 
4.1%
4 16
 
3.9%
- 13
 
3.2%
5 12
 
2.9%
Other values (7) 32
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1960
80.4%
ASCII 466
 
19.1%
None 13
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 138
 
7.0%
태 136
 
6.9%
호 127
 
6.5%
소 83
 
4.2%
광 78
 
4.0%
전 77
 
3.9%
발 73
 
3.7%
에 41
 
2.1%
지 38
 
1.9%
너 28
 
1.4%
Other values (231) 1141
58.2%
ASCII
ValueCountFrequency (%)
122
26.2%
1 72
15.5%
2 53
11.4%
( 26
 
5.6%
) 26
 
5.6%
3 23
 
4.9%
17
 
3.6%
4 16
 
3.4%
- 13
 
2.8%
5 12
 
2.6%
Other values (25) 86
18.5%
None
ValueCountFrequency (%)
㈜ 13
100.0%

주소
Text

MISSING 

Distinct315
Distinct (%)83.1%
Missing14
Missing (%)3.6%
Memory size3.2 KiB
2023-12-12T22:14:52.966371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length48
Mean length24.854881
Min length10

Characters and Unicode

Total characters9420
Distinct characters297
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

Unique271 ?
Unique (%)71.5%

Sample

1st row서울특별시 송파구 중대로 113(가락동, 대한전기협회)
2nd row서울특별시 강남구 논현로 508(역삼동)
3rd row전남 여수시 남면 우학리 197-4
4th row전남 여수시 남면 우학리 187
5th row전남 여수시 남면 우학리 666-3
ValueCountFrequency (%)
여수시 229
 
12.5%
전남 51
 
2.8%
광주광역시 34
 
1.9%
소라면 32
 
1.7%
남면 27
 
1.5%
화양면 20
 
1.1%
돌산읍 20
 
1.1%
북구 19
 
1.0%
순천시 19
 
1.0%
서울특별시 14
 
0.8%
Other values (857) 1370
74.7%
2023-12-12T22:14:53.468097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1548
 
16.4%
1 518
 
5.5%
시 380
 
4.0%
0 379
 
4.0%
2 300
 
3.2%
동 298
 
3.2%
여 253
 
2.7%
수 248
 
2.6%
, 237
 
2.5%
3 231
 
2.5%
Other values (287) 5028
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4897
52.0%
Decimal Number 2242
23.8%
Space Separator 1548
 
16.4%
Other Punctuation 249
 
2.6%
Open Punctuation 143
 
1.5%
Close Punctuation 141
 
1.5%
Dash Punctuation 138
 
1.5%
Control 57
 
0.6%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 380
 
7.8%
동 298
 
6.1%
여 253
 
5.2%
수 248
 
5.1%
길 197
 
4.0%
로 189
 
3.9%
호 182
 
3.7%
남 136
 
2.8%
광 117
 
2.4%
산 115
 
2.3%
Other values (264) 2782
56.8%
Decimal Number
ValueCountFrequency (%)
1 518
23.1%
0 379
16.9%
2 300
13.4%
3 231
10.3%
4 185
 
8.3%
5 164
 
7.3%
6 156
 
7.0%
7 125
 
5.6%
8 96
 
4.3%
9 88
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
G 1
20.0%
T 1
20.0%
I 1
20.0%
B 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 237
95.2%
/ 10
 
4.0%
@ 2
 
0.8%
Space Separator
ValueCountFrequency (%)
1548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Control
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4897
52.0%
Common 4518
48.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 380
 
7.8%
동 298
 
6.1%
여 253
 
5.2%
수 248
 
5.1%
길 197
 
4.0%
로 189
 
3.9%
호 182
 
3.7%
남 136
 
2.8%
광 117
 
2.4%
산 115
 
2.3%
Other values (264) 2782
56.8%
Common
ValueCountFrequency (%)
1548
34.3%
1 518
 
11.5%
0 379
 
8.4%
2 300
 
6.6%
, 237
 
5.2%
3 231
 
5.1%
4 185
 
4.1%
5 164
 
3.6%
6 156
 
3.5%
( 143
 
3.2%
Other values (8) 657
14.5%
Latin
ValueCountFrequency (%)
S 1
20.0%
G 1
20.0%
T 1
20.0%
I 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4897
52.0%
ASCII 4523
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1548
34.2%
1 518
 
11.5%
0 379
 
8.4%
2 300
 
6.6%
, 237
 
5.2%
3 231
 
5.1%
4 185
 
4.1%
5 164
 
3.6%
6 156
 
3.4%
( 143
 
3.2%
Other values (13) 662
14.6%
Hangul
ValueCountFrequency (%)
시 380
 
7.8%
동 298
 
6.1%
여 253
 
5.2%
수 248
 
5.1%
길 197
 
4.0%
로 189
 
3.9%
호 182
 
3.7%
남 136
 
2.8%
광 117
 
2.4%
산 115
 
2.3%
Other values (264) 2782
56.8%

설치년도
Real number (ℝ)

Distinct14
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.57
Minimum2008
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T22:14:53.583341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2012
Q12016
median2018
Q32020
95-th percentile2021
Maximum2022
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9156184
Coefficient of variation (CV)0.0014451139
Kurtosis1.5125037
Mean2017.57
Median Absolute Deviation (MAD)2
Skewness-1.0741177
Sum792905
Variance8.5008309
MonotonicityNot monotonic
2023-12-12T22:14:53.705573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2017 79
20.1%
2021 74
18.8%
2018 54
13.7%
2019 44
11.2%
2016 41
10.4%
2020 29
 
7.4%
2015 23
 
5.9%
2009 14
 
3.6%
2014 13
 
3.3%
2013 10
 
2.5%
Other values (4) 12
 
3.1%
ValueCountFrequency (%)
2008 3
 
0.8%
2009 14
 
3.6%
2011 1
 
0.3%
2012 3
 
0.8%
2013 10
 
2.5%
2014 13
 
3.3%
2015 23
 
5.9%
2016 41
10.4%
2017 79
20.1%
2018 54
13.7%
ValueCountFrequency (%)
2022 5
 
1.3%
2021 74
18.8%
2020 29
 
7.4%
2019 44
11.2%
2018 54
13.7%
2017 79
20.1%
2016 41
10.4%
2015 23
 
5.9%
2014 13
 
3.3%
2013 10
 
2.5%

최초허가일
Date

Distinct179
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2008-12-09 00:00:00
Maximum2022-08-01 00:00:00
2023-12-12T22:14:53.826088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:14:53.938751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시일
Date

MISSING 

Distinct176
Distinct (%)50.9%
Missing47
Missing (%)12.0%
Memory size3.2 KiB
Minimum2014-05-09 00:00:00
Maximum2022-10-27 00:00:00
2023-12-12T22:14:54.068164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:14:54.195885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설치위치
Text

Distinct327
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T22:14:54.415533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length41
Mean length20.137405
Min length7

Characters and Unicode

Total characters7914
Distinct characters145
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

Unique290 ?
Unique (%)73.8%

Sample

1st row여수시 율촌면 율촌산단2로 241-70(지붕)
2nd row여수시 중흥동 1402-7(건물지붕)
3rd row여수시 남면 우학리 197-1외2
4th row여수시 남면 우학리 159
5th row여수시 남면 우학리 628-3
ValueCountFrequency (%)
여수시 319
 
19.9%
화양면 136
 
8.5%
옥적리 64
 
4.0%
소라면 59
 
3.7%
돌산읍 39
 
2.4%
남면 38
 
2.4%
복산리 34
 
2.1%
안포리 31
 
1.9%
율촌면 28
 
1.7%
건물 18
 
1.1%
Other values (526) 839
52.3%
2023-12-12T22:14:54.795173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1217
 
15.4%
1 479
 
6.1%
여 342
 
4.3%
- 341
 
4.3%
수 328
 
4.1%
시 320
 
4.0%
리 293
 
3.7%
2 280
 
3.5%
면 264
 
3.3%
3 262
 
3.3%
Other values (135) 3788
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3659
46.2%
Decimal Number 2303
29.1%
Space Separator 1217
 
15.4%
Dash Punctuation 341
 
4.3%
Other Punctuation 232
 
2.9%
Close Punctuation 74
 
0.9%
Open Punctuation 73
 
0.9%
Control 10
 
0.1%
Uppercase Letter 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 342
 
9.3%
수 328
 
9.0%
시 320
 
8.7%
리 293
 
8.0%
면 264
 
7.2%
산 188
 
5.1%
화 164
 
4.5%
양 143
 
3.9%
지 121
 
3.3%
번 113
 
3.1%
Other values (110) 1383
37.8%
Decimal Number
ValueCountFrequency (%)
1 479
20.8%
2 280
12.2%
3 262
11.4%
5 257
11.2%
4 204
8.9%
7 201
8.7%
8 187
 
8.1%
9 173
 
7.5%
6 131
 
5.7%
0 129
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 228
98.3%
/ 2
 
0.9%
. 1
 
0.4%
? 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
D 1
25.0%
C 1
25.0%
H 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 72
97.3%
] 2
 
2.7%
Space Separator
ValueCountFrequency (%)
1217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Control
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4250
53.7%
Hangul 3660
46.2%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 342
 
9.3%
수 328
 
9.0%
시 320
 
8.7%
리 293
 
8.0%
면 264
 
7.2%
산 188
 
5.1%
화 164
 
4.5%
양 143
 
3.9%
지 121
 
3.3%
번 113
 
3.1%
Other values (111) 1384
37.8%
Common
ValueCountFrequency (%)
1217
28.6%
1 479
 
11.3%
- 341
 
8.0%
2 280
 
6.6%
3 262
 
6.2%
5 257
 
6.0%
, 228
 
5.4%
4 204
 
4.8%
7 201
 
4.7%
8 187
 
4.4%
Other values (10) 594
14.0%
Latin
ValueCountFrequency (%)
A 1
25.0%
D 1
25.0%
C 1
25.0%
H 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4254
53.8%
Hangul 3658
46.2%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1217
28.6%
1 479
 
11.3%
- 341
 
8.0%
2 280
 
6.6%
3 262
 
6.2%
5 257
 
6.0%
, 228
 
5.4%
4 204
 
4.8%
7 201
 
4.7%
8 187
 
4.4%
Other values (14) 598
14.1%
Hangul
ValueCountFrequency (%)
여 342
 
9.3%
수 328
 
9.0%
시 320
 
8.7%
리 293
 
8.0%
면 264
 
7.2%
산 188
 
5.1%
화 164
 
4.5%
양 143
 
3.9%
지 121
 
3.3%
번 113
 
3.1%
Other values (109) 1382
37.8%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

용량(kW)
Text

Distinct193
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T22:14:55.172368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.1119593
Min length1

Characters and Unicode

Total characters1616
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)34.9%

Sample

1st row2,192.96
2nd row20
3rd row98
4th row50
5th row29
ValueCountFrequency (%)
99 44
 
11.2%
99.2 25
 
6.4%
99.28 12
 
3.1%
99.96 10
 
2.5%
99.36 10
 
2.5%
97.2 8
 
2.0%
200 7
 
1.8%
96.75 7
 
1.8%
99.9 7
 
1.8%
98 6
 
1.5%
Other values (183) 257
65.4%
2023-12-12T22:14:55.795514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 487
30.1%
. 280
17.3%
2 155
 
9.6%
8 126
 
7.8%
6 109
 
6.7%
4 102
 
6.3%
5 95
 
5.9%
1 72
 
4.5%
7 65
 
4.0%
3 64
 
4.0%
Other values (2) 61
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1333
82.5%
Other Punctuation 283
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 487
36.5%
2 155
 
11.6%
8 126
 
9.5%
6 109
 
8.2%
4 102
 
7.7%
5 95
 
7.1%
1 72
 
5.4%
7 65
 
4.9%
3 64
 
4.8%
0 58
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 280
98.9%
, 3
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1616
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 487
30.1%
. 280
17.3%
2 155
 
9.6%
8 126
 
7.8%
6 109
 
6.7%
4 102
 
6.3%
5 95
 
5.9%
1 72
 
4.5%
7 65
 
4.0%
3 64
 
4.0%
Other values (2) 61
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 487
30.1%
. 280
17.3%
2 155
 
9.6%
8 126
 
7.8%
6 109
 
6.7%
4 102
 
6.3%
5 95
 
5.9%
1 72
 
4.5%
7 65
 
4.0%
3 64
 
4.0%
Other values (2) 61
 
3.8%

전압(V)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
380
374 
22900
 
19

Length

Max length5
Median length3
Mean length3.0966921
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22900
2nd row380
3rd row380
4th row380
5th row380

Common Values

ValueCountFrequency (%)
380 374
95.2%
22900 19
 
4.8%

Length

2023-12-12T22:14:55.988180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:14:56.139677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 374
95.2%
22900 19
 
4.8%

주파수(Hz)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
60
393 

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 (%)
60 393
100.0%

Length

2023-12-12T22:14:56.244201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:14:56.347004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 393
100.0%

Interactions

2023-12-12T22:14:51.549205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:14:56.408983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도전압(V)
설치년도1.0000.238
전압(V)0.2381.000
2023-12-12T22:14:56.503226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년도전압(V)
설치년도1.0000.237
전압(V)0.2371.000

Missing values

2023-12-12T22:14:51.680729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:14:51.820967image/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.
2023-12-12T22:14:51.947155image/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

발전소명주소설치년도최초허가일사업개시일설치위치용량(kW)전압(V)주파수(Hz)
0켑코솔라㈜(kepco-11-F9-승산팩 태양광발전소)서울특별시 송파구 중대로 113(가락동, 대한전기협회)20222021-04-082022-04-27여수시 율촌면 율촌산단2로 241-70(지붕)2,192.962290060
1GS칼텍스중흥주유소서울특별시 강남구 논현로 508(역삼동)20092009-10-29<NA>여수시 중흥동 1402-7(건물지붕)2038060
2금오 제1 태양광발전소전남 여수시 남면 우학리 197-420082008-12-09<NA>여수시 남면 우학리 197-1외29838060
3금오 제2 태양광발전소전남 여수시 남면 우학리 18720082008-12-09<NA>여수시 남면 우학리 1595038060
4금오 제4 태양광발전소전남 여수시 남면 우학리 666-320082008-12-09<NA>여수시 남면 우학리 628-32938060
5금오 제9 태양광발전소전남 여수시 남면 우학리 67920092009-01-13<NA>여수시 남면 우학리 648-19838060
6금오 제12 태양광발전소전남 여수시 남면 우학리 31220092009-01-13<NA>여수시 남면 우학리 320-15038060
7금오 제19 태양광발전소전남 여수시 남면 유송리 22220092009-01-13<NA>여수시 남면 유송리 223-25038060
8금오 제24 태양광발전소전남 여수시 남면 유송리 35320092009-01-13<NA>여수시 남면 유송리 351외12938060
9금오 제21 태양광발전소전남 여수시 남면 유송리 24320092009-01-23<NA>여수시 남면 유송리236-15038060
발전소명주소설치년도최초허가일사업개시일설치위치용량(kW)전압(V)주파수(Hz)
383원상암새마을회여수시 상암5길 3520212021-10-182021-12-03여수시 상암5길 35(건물옥상)9.638060
384당내새마을회여수시 상암9길 820212021-10-182021-12-03여수시 상암9길 8(건물옥상)9.638060
385현대CT 1호여수시 율촌면 율촌산단2로 241-1020212021-11-192022-04-07여수시 율촌면 여동리 355304.3238060
386에스엠광주광역시 북구 자미로6번길 13, 104동 1902호20212021-12-022022-01-06여수시 화양면 안포리 1897-1098.4438060
387한애숙1호여수시 무선2길 27, 203동 1407호20212021-12-022022-01-06여수시 화양면 안포리 1897-1098.4438060
388김영민1호여수시 무선2길 27, 203동 1407호20212021-12-022022-01-06여수시 화양면 안포리 1897-1098.4438060
389(유)잎새쏠라에너지여수시 웅천중앙로 33, 206동 1504호20222022-03-212022-08-02여수시 화치동 1454, 145528138060
390고맙소여수시 돌산읍 강남4길 17-5, 502호20222022-03-242022-06-29여수시 주삼동 169-119.638060
391포레빌여수시 미평8길 14, 포레빌 505호20222022-05-022022-08-05미평동 165-119.638060
392현화전남 여수시 소라면 중촌1길 2920222022-08-012022-10-27주삼동 784-1152.5138060