Overview

Dataset statistics

Number of variables12
Number of observations35
Missing cells16
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory102.8 B

Variable types

Numeric2
Text5
Categorical4
DateTime1

Dataset

Description전라남도 구례군 태양광발전소현황에 대한 내용으로 인허가번호, 상호, 소재지(도로명). 소재지(지번) 설치장소소재지, 영업구분, 원동력의종류, 설비용량, 공급전압, 주파수, 허가일자 등을 제공합니다.
URLhttps://www.data.go.kr/data/15066719/fileData.do

Alerts

원동력의종류 has constant value ""Constant
주파수(Hz) has constant value ""Constant
설비용량(KW) is highly overall correlated with 공급전압(V)High correlation
공급전압(V) is highly overall correlated with 설비용량(KW)High correlation
영업구분 is highly imbalanced (68.4%)Imbalance
공급전압(V) is highly imbalanced (72.1%)Imbalance
소재지(도로명) has 15 (42.9%) missing valuesMissing
소재지(지번) has 1 (2.9%) missing valuesMissing
순번 has unique valuesUnique
인허가번호 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:06:05.494558
Analysis finished2023-12-11 23:06:06.782728
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T08:06:06.854888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T08:06:06.988118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

인허가번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T08:06:07.219118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters805
Distinct characters11
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

Unique35 ?
Unique (%)100.0%

Sample

1st row2013-4870000-38-5-01515
2nd row2013-4870000-38-5-01534
3rd row2013-4870000-38-5-01886
4th row2014-4870000-38-5-00004
5th row2014-4870000-38-5-03051
ValueCountFrequency (%)
2013-4870000-38-5-01515 1
 
2.9%
2016-4870000-38-5-00026 1
 
2.9%
2016-4870000-38-5-00028 1
 
2.9%
2017-4870000-38-5-00002 1
 
2.9%
2017-4870000-38-5-00003 1
 
2.9%
2017-4870000-38-5-00004 1
 
2.9%
2018-4870000-38-5-00004 1
 
2.9%
2018-4870000-38-5-00015 1
 
2.9%
2016-4870000-38-5-00027 1
 
2.9%
2018-4870000-38-5-00014 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T08:06:07.638094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 281
34.9%
- 140
17.4%
8 79
 
9.8%
2 57
 
7.1%
4 51
 
6.3%
5 49
 
6.1%
3 47
 
5.8%
7 42
 
5.2%
1 41
 
5.1%
6 13
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 665
82.6%
Dash Punctuation 140
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 281
42.3%
8 79
 
11.9%
2 57
 
8.6%
4 51
 
7.7%
5 49
 
7.4%
3 47
 
7.1%
7 42
 
6.3%
1 41
 
6.2%
6 13
 
2.0%
9 5
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 805
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 281
34.9%
- 140
17.4%
8 79
 
9.8%
2 57
 
7.1%
4 51
 
6.3%
5 49
 
6.1%
3 47
 
5.8%
7 42
 
5.2%
1 41
 
5.1%
6 13
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 805
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 281
34.9%
- 140
17.4%
8 79
 
9.8%
2 57
 
7.1%
4 51
 
6.3%
5 49
 
6.1%
3 47
 
5.8%
7 42
 
5.2%
1 41
 
5.1%
6 13
 
1.6%

상호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T08:06:07.902133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length12.685714
Min length7

Characters and Unicode

Total characters444
Distinct characters84
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row봉성새마을금고 태양광발전소
2nd row더케이지리산가족호텔 태양광발전소
3rd row지리산 산동발전소
4th row경재2호 태양광발전소
5th row허은문1호 태양광발전소
ValueCountFrequency (%)
태양광발전소 24
32.9%
농업회사법인(유 3
 
4.1%
구례농협 2
 
2.7%
봉성새마을금고 1
 
1.4%
신지 1
 
1.4%
태양광발전소1 1
 
1.4%
백인태양광발전소 1
 
1.4%
만수동1호 1
 
1.4%
만수동2호 1
 
1.4%
지산 1
 
1.4%
Other values (37) 37
50.7%
2023-12-12T08:06:08.263548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
8.6%
전 35
 
7.9%
발 34
 
7.7%
소 33
 
7.4%
양 33
 
7.4%
광 33
 
7.4%
태 31
 
7.0%
지 14
 
3.2%
호 11
 
2.5%
너 9
 
2.0%
Other values (74) 173
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
85.8%
Space Separator 38
 
8.6%
Decimal Number 11
 
2.5%
Open Punctuation 7
 
1.6%
Close Punctuation 7
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 35
 
9.2%
발 34
 
8.9%
소 33
 
8.7%
양 33
 
8.7%
광 33
 
8.7%
태 31
 
8.1%
지 14
 
3.7%
호 11
 
2.9%
너 9
 
2.4%
에 9
 
2.4%
Other values (68) 139
36.5%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 3
27.3%
3 3
27.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 381
85.8%
Common 63
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 35
 
9.2%
발 34
 
8.9%
소 33
 
8.7%
양 33
 
8.7%
광 33
 
8.7%
태 31
 
8.1%
지 14
 
3.7%
호 11
 
2.9%
너 9
 
2.4%
에 9
 
2.4%
Other values (68) 139
36.5%
Common
ValueCountFrequency (%)
38
60.3%
( 7
 
11.1%
) 7
 
11.1%
2 5
 
7.9%
1 3
 
4.8%
3 3
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
85.8%
ASCII 63
 
14.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
60.3%
( 7
 
11.1%
) 7
 
11.1%
2 5
 
7.9%
1 3
 
4.8%
3 3
 
4.8%
Hangul
ValueCountFrequency (%)
전 35
 
9.2%
발 34
 
8.9%
소 33
 
8.7%
양 33
 
8.7%
광 33
 
8.7%
태 31
 
8.1%
지 14
 
3.7%
호 11
 
2.9%
너 9
 
2.4%
에 9
 
2.4%
Other values (68) 139
36.5%

소재지(도로명)
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing15
Missing (%)42.9%
Memory size412.0 B
2023-12-12T08:06:08.471786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length22.95
Min length19

Characters and Unicode

Total characters459
Distinct characters67
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)75.0%

Sample

1st row전라남도 구례군 구례읍 상설시장길 20
2nd row전라남도 구례군 산동면 지리산온천로 317
3rd row전라남도 구례군 산동면 지리산온천로 210-28
4th row전라남도 구례군 문척면 토금2길 33-22
5th row전라남도 구례군 문척면 토금2길 20-6
ValueCountFrequency (%)
전라남도 20
19.8%
구례군 20
19.8%
산동면 6
 
5.9%
마산면 5
 
5.0%
갑산대평길 4
 
4.0%
구례읍 4
 
4.0%
56-88 3
 
3.0%
지리산온천로 3
 
3.0%
간전면 2
 
2.0%
토금2길 2
 
2.0%
Other values (29) 32
31.7%
2023-12-12T08:06:08.834259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
17.6%
구 25
 
5.4%
례 24
 
5.2%
전 23
 
5.0%
남 20
 
4.4%
도 20
 
4.4%
군 20
 
4.4%
산 20
 
4.4%
라 20
 
4.4%
면 16
 
3.5%
Other values (57) 190
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
64.1%
Space Separator 81
 
17.6%
Decimal Number 71
 
15.5%
Dash Punctuation 12
 
2.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 25
 
8.5%
례 24
 
8.2%
전 23
 
7.8%
남 20
 
6.8%
도 20
 
6.8%
군 20
 
6.8%
산 20
 
6.8%
라 20
 
6.8%
면 16
 
5.4%
길 12
 
4.1%
Other values (44) 94
32.0%
Decimal Number
ValueCountFrequency (%)
2 12
16.9%
4 10
14.1%
8 9
12.7%
1 9
12.7%
5 8
11.3%
6 8
11.3%
3 5
7.0%
7 4
 
5.6%
0 4
 
5.6%
9 2
 
2.8%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
64.1%
Common 165
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 25
 
8.5%
례 24
 
8.2%
전 23
 
7.8%
남 20
 
6.8%
도 20
 
6.8%
군 20
 
6.8%
산 20
 
6.8%
라 20
 
6.8%
면 16
 
5.4%
길 12
 
4.1%
Other values (44) 94
32.0%
Common
ValueCountFrequency (%)
81
49.1%
- 12
 
7.3%
2 12
 
7.3%
4 10
 
6.1%
8 9
 
5.5%
1 9
 
5.5%
5 8
 
4.8%
6 8
 
4.8%
3 5
 
3.0%
7 4
 
2.4%
Other values (3) 7
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
64.1%
ASCII 165
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
49.1%
- 12
 
7.3%
2 12
 
7.3%
4 10
 
6.1%
8 9
 
5.5%
1 9
 
5.5%
5 8
 
4.8%
6 8
 
4.8%
3 5
 
3.0%
7 4
 
2.4%
Other values (3) 7
 
4.2%
Hangul
ValueCountFrequency (%)
구 25
 
8.5%
례 24
 
8.2%
전 23
 
7.8%
남 20
 
6.8%
도 20
 
6.8%
군 20
 
6.8%
산 20
 
6.8%
라 20
 
6.8%
면 16
 
5.4%
길 12
 
4.1%
Other values (44) 94
32.0%

소재지(지번)
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing1
Missing (%)2.9%
Memory size412.0 B
2023-12-12T08:06:09.090950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length24.970588
Min length19

Characters and Unicode

Total characters849
Distinct characters62
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

Unique30 ?
Unique (%)88.2%

Sample

1st row전라남도 구례군 구례읍 봉동리 388번지 6호
2nd row전라남도 구례군 산동면 대평리 729번지
3rd row전라남도 구례군 산동면 탑정리 442번지 1호
4th row전라남도 구례군 마산면 냉천리 887번지 1호
5th row전라남도 구례군 문척면 금정리 511번지
ValueCountFrequency (%)
전라남도 34
17.1%
구례군 34
17.1%
마산면 14
 
7.0%
광평리 9
 
4.5%
1호 7
 
3.5%
구례읍 5
 
2.5%
산동면 5
 
2.5%
갑산리 4
 
2.0%
간전면 4
 
2.0%
광의면 3
 
1.5%
Other values (63) 80
40.2%
2023-12-12T08:06:09.497589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
19.4%
전 40
 
4.7%
구 39
 
4.6%
례 39
 
4.6%
1 37
 
4.4%
리 34
 
4.0%
남 34
 
4.0%
도 34
 
4.0%
군 34
 
4.0%
라 34
 
4.0%
Other values (52) 359
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
62.5%
Space Separator 165
 
19.4%
Decimal Number 142
 
16.7%
Dash Punctuation 8
 
0.9%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 40
 
7.5%
구 39
 
7.3%
례 39
 
7.3%
리 34
 
6.4%
남 34
 
6.4%
도 34
 
6.4%
군 34
 
6.4%
라 34
 
6.4%
산 30
 
5.6%
면 29
 
5.5%
Other values (37) 184
34.7%
Decimal Number
ValueCountFrequency (%)
1 37
26.1%
5 25
17.6%
3 13
 
9.2%
8 13
 
9.2%
4 12
 
8.5%
7 11
 
7.7%
6 10
 
7.0%
2 10
 
7.0%
9 6
 
4.2%
0 5
 
3.5%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
62.5%
Common 318
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 40
 
7.5%
구 39
 
7.3%
례 39
 
7.3%
리 34
 
6.4%
남 34
 
6.4%
도 34
 
6.4%
군 34
 
6.4%
라 34
 
6.4%
산 30
 
5.6%
면 29
 
5.5%
Other values (37) 184
34.7%
Common
ValueCountFrequency (%)
165
51.9%
1 37
 
11.6%
5 25
 
7.9%
3 13
 
4.1%
8 13
 
4.1%
4 12
 
3.8%
7 11
 
3.5%
6 10
 
3.1%
2 10
 
3.1%
- 8
 
2.5%
Other values (5) 14
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
62.5%
ASCII 318
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
51.9%
1 37
 
11.6%
5 25
 
7.9%
3 13
 
4.1%
8 13
 
4.1%
4 12
 
3.8%
7 11
 
3.5%
6 10
 
3.1%
2 10
 
3.1%
- 8
 
2.5%
Other values (5) 14
 
4.4%
Hangul
ValueCountFrequency (%)
전 40
 
7.5%
구 39
 
7.3%
례 39
 
7.3%
리 34
 
6.4%
남 34
 
6.4%
도 34
 
6.4%
군 34
 
6.4%
라 34
 
6.4%
산 30
 
5.6%
면 29
 
5.5%
Other values (37) 184
34.7%

설치장소소재지
Text

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T08:06:09.741674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length24.8
Min length19

Characters and Unicode

Total characters868
Distinct characters82
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

Unique30 ?
Unique (%)85.7%

Sample

1st row전라남도 구례군 구례읍 상설시장길 20
2nd row전라남도 구례군 산동면 지리산온천로 317
3rd row전라남도 구례군 산동면 지리산온천로 210-28
4th row전라남도 구례군 마산면 냉천리 887번지 1호
5th row전라남도 구례군 문척면 토금2길 33-22
ValueCountFrequency (%)
전라남도 35
17.9%
구례군 35
17.9%
마산면 14
 
7.1%
광평리 8
 
4.1%
산동면 6
 
3.1%
간전면 5
 
2.6%
광의면 4
 
2.0%
갑산대평길 4
 
2.0%
831번지 3
 
1.5%
56-88 3
 
1.5%
Other values (63) 79
40.3%
2023-12-12T08:06:10.418460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
18.5%
전 43
 
5.0%
구 39
 
4.5%
례 38
 
4.4%
남 35
 
4.0%
도 35
 
4.0%
군 35
 
4.0%
라 35
 
4.0%
산 32
 
3.7%
면 32
 
3.7%
Other values (72) 383
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
62.7%
Space Separator 161
 
18.5%
Decimal Number 142
 
16.4%
Dash Punctuation 15
 
1.7%
Close Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 43
 
7.9%
구 39
 
7.2%
례 38
 
7.0%
남 35
 
6.4%
도 35
 
6.4%
군 35
 
6.4%
라 35
 
6.4%
산 32
 
5.9%
면 32
 
5.9%
지 21
 
3.9%
Other values (57) 199
36.6%
Decimal Number
ValueCountFrequency (%)
1 25
17.6%
8 18
12.7%
2 18
12.7%
5 17
12.0%
3 16
11.3%
6 14
9.9%
4 14
9.9%
7 9
 
6.3%
0 6
 
4.2%
9 5
 
3.5%
Space Separator
ValueCountFrequency (%)
161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
62.7%
Common 324
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 43
 
7.9%
구 39
 
7.2%
례 38
 
7.0%
남 35
 
6.4%
도 35
 
6.4%
군 35
 
6.4%
라 35
 
6.4%
산 32
 
5.9%
면 32
 
5.9%
지 21
 
3.9%
Other values (57) 199
36.6%
Common
ValueCountFrequency (%)
161
49.7%
1 25
 
7.7%
8 18
 
5.6%
2 18
 
5.6%
5 17
 
5.2%
3 16
 
4.9%
- 15
 
4.6%
6 14
 
4.3%
4 14
 
4.3%
7 9
 
2.8%
Other values (5) 17
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
62.7%
ASCII 324
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
49.7%
1 25
 
7.7%
8 18
 
5.6%
2 18
 
5.6%
5 17
 
5.2%
3 16
 
4.9%
- 15
 
4.6%
6 14
 
4.3%
4 14
 
4.3%
7 9
 
2.8%
Other values (5) 17
 
5.2%
Hangul
ValueCountFrequency (%)
전 43
 
7.9%
구 39
 
7.2%
례 38
 
7.0%
남 35
 
6.4%
도 35
 
6.4%
군 35
 
6.4%
라 35
 
6.4%
산 32
 
5.9%
면 32
 
5.9%
지 21
 
3.9%
Other values (57) 199
36.6%

영업구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
사업개시
33 
인허가
 
2

Length

Max length4
Median length4
Mean length3.9428571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 33
94.3%
인허가 2
 
5.7%

Length

2023-12-12T08:06:10.547331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:06:10.649487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 33
94.3%
인허가 2
 
5.7%

원동력의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
태양광
35 

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 35
100.0%

Length

2023-12-12T08:06:10.748301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:06:10.836104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 35
100.0%

설비용량(KW)
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.21171
Minimum14.28
Maximum990.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T08:06:10.937092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.28
5-th percentile19.38
Q165.275
median99
Q399.76
95-th percentile491.922
Maximum990.25
Range975.97
Interquartile range (IQR)34.485

Descriptive statistics

Standard deviation197.81049
Coefficient of variation (CV)1.2744559
Kurtosis8.8679094
Mean155.21171
Median Absolute Deviation (MAD)1.88
Skewness2.7763232
Sum5432.41
Variance39128.988
MonotonicityNot monotonic
2023-12-12T08:06:11.053108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
99.0 9
25.7%
99.76 2
 
5.7%
99.2 2
 
5.7%
19.38 2
 
5.7%
20.0 1
 
2.9%
28.86 1
 
2.9%
449.0 1
 
2.9%
28.71 1
 
2.9%
29.63 1
 
2.9%
95.55 1
 
2.9%
Other values (14) 14
40.0%
ValueCountFrequency (%)
14.28 1
2.9%
19.38 2
5.7%
20.0 1
2.9%
28.71 1
2.9%
28.86 1
2.9%
29.63 1
2.9%
30.0 1
2.9%
35.0 1
2.9%
95.55 1
2.9%
97.12 1
2.9%
ValueCountFrequency (%)
990.25 1
2.9%
500.0 1
2.9%
488.46 1
2.9%
449.0 1
2.9%
442.26 1
2.9%
300.0 1
2.9%
160.6 1
2.9%
99.9 1
2.9%
99.76 2
5.7%
99.2 2
5.7%

공급전압(V)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
380
32 
380/22,900
 
1
22900
 
1
220
 
1

Length

Max length10
Median length3
Mean length3.2571429
Min length3

Unique

Unique3 ?
Unique (%)8.6%

Sample

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

Common Values

ValueCountFrequency (%)
380 32
91.4%
380/22,900 1
 
2.9%
22900 1
 
2.9%
220 1
 
2.9%

Length

2023-12-12T08:06:11.170657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:06:11.278227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 32
91.4%
380/22,900 1
 
2.9%
22900 1
 
2.9%
220 1
 
2.9%

주파수(Hz)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
60
35 

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 35
100.0%

Length

2023-12-12T08:06:11.374660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:06:11.468647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 35
100.0%

허가일자
Date

Distinct26
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2013-03-15 00:00:00
Maximum2022-07-28 00:00:00
2023-12-12T08:06:11.554347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:06:11.657359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

Interactions

2023-12-12T08:06:06.184043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:06:05.995760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:06:06.284328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:06:06.099957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:06:11.742084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번인허가번호상호소재지(도로명)소재지(지번)설치장소소재지영업구분설비용량(KW)공급전압(V)허가일자
순번1.0001.0001.0000.9651.0000.9630.0000.2980.0000.988
인허가번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)0.9651.0001.0001.0001.0001.000NaN0.0001.0000.975
소재지(지번)1.0001.0001.0001.0001.0000.9891.0000.0001.0001.000
설치장소소재지0.9631.0001.0001.0000.9891.0001.0001.0001.0000.988
영업구분0.0001.0001.000NaN1.0001.0001.0000.0000.0001.000
설비용량(KW)0.2981.0001.0000.0000.0001.0000.0001.0000.6480.887
공급전압(V)0.0001.0001.0001.0001.0001.0000.0000.6481.0001.000
허가일자0.9881.0001.0000.9751.0000.9881.0000.8871.0001.000
2023-12-12T08:06:11.868763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업구분공급전압(V)
영업구분1.0000.000
공급전압(V)0.0001.000
2023-12-12T08:06:11.952718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(KW)영업구분공급전압(V)
순번1.0000.2170.0000.000
설비용량(KW)0.2171.0000.0000.567
영업구분0.0000.0001.0000.000
공급전압(V)0.0000.5670.0001.000

Missing values

2023-12-12T08:06:06.408573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:06:06.596094image/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.
2023-12-12T08:06:06.733262image/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

순번인허가번호상호소재지(도로명)소재지(지번)설치장소소재지영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자
012013-4870000-38-5-01515봉성새마을금고 태양광발전소전라남도 구례군 구례읍 상설시장길 20전라남도 구례군 구례읍 봉동리 388번지 6호전라남도 구례군 구례읍 상설시장길 20사업개시태양광20.0380602013-03-15
122013-4870000-38-5-01534더케이지리산가족호텔 태양광발전소전라남도 구례군 산동면 지리산온천로 317전라남도 구례군 산동면 대평리 729번지전라남도 구례군 산동면 지리산온천로 317사업개시태양광97.2380602013-04-18
232013-4870000-38-5-01886지리산 산동발전소전라남도 구례군 산동면 지리산온천로 210-28전라남도 구례군 산동면 탑정리 442번지 1호전라남도 구례군 산동면 지리산온천로 210-28사업개시태양광97.12380602013-04-18
342014-4870000-38-5-00004경재2호 태양광발전소<NA>전라남도 구례군 마산면 냉천리 887번지 1호전라남도 구례군 마산면 냉천리 887번지 1호사업개시태양광99.11380602014-08-18
452014-4870000-38-5-03051허은문1호 태양광발전소전라남도 구례군 문척면 토금2길 33-22전라남도 구례군 문척면 금정리 511번지전라남도 구례군 문척면 토금2길 33-22사업개시태양광99.0380602014-03-26
562014-4870000-38-5-03052허은문3호 태양광발전소전라남도 구례군 문척면 토금2길 20-6전라남도 구례군 문척면 금정리 523번지전라남도 구례군 문척면 토금2길 20-6사업개시태양광98.8380602014-03-26
672014-4870000-38-5-90560(유)구마에너지 태양광발전소<NA>전라남도 구례군 마산면 광평리 831-10전라남도 구례군 마산면 광평리 831-3인허가태양광99.0380602014-05-14
782014-4870000-38-5-03247(유)평전에너지 태양광발전소<NA>전라남도 구례군 마산면 광평리 831번지 12호전라남도 구례군 마산면 광평리 831번지 13호사업개시태양광99.0380602014-04-15
892014-4870000-38-5-03248해와바람2호 태양광발전소<NA>전라남도 구례군 마산면 광평리 831번지 13호전라남도 구례군 마산면 광평리 831번지 13호사업개시태양광99.0380602014-04-15
9102014-4870000-38-5-90678(유)군평에너지 태양광발전소<NA>전라남도 구례군 마산면 광평리 831-14전라남도 구례군 마산면 광평리 841-14인허가태양광30.0380602014-05-19
순번인허가번호상호소재지(도로명)소재지(지번)설치장소소재지영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자
25262018-4870000-38-5-00015구례농협 광의 태양광 발전소전라남도 구례군 구례읍 봉성로 142전라남도 구례군 구례읍 봉북리 447번지 1호전라남도 구례군 광의면 케이비에스중계소로 123사업개시태양광442.26380602018-11-19
26272018-4870000-38-5-00014구례농협 본점 태양광발전소전라남도 구례군 구례읍 봉성로 142전라남도 구례군 구례읍 봉북리 447번지 1호전라남도 구례군 구례읍 봉북리 449번지 2호 (447-1)사업개시태양광160.6380602018-11-19
27282019-4870000-38-5-00004전남개발공사 도민발전소전라남도 구례군 간전면 간전중앙로 47전라남도 구례군 간전면 양천리 815번지 12호전라남도 구례군 간전면 간전중앙로 47사업개시태양광488.46380602019-12-04
28292019-4870000-38-5-00005만수동 3호 태양광발전소전라남도 구례군 구례읍 봉서산정길 44-7전라남도 구례군 구례읍 봉서리 1013번지 9호전라남도 구례군 간전면 수평리 53번지 2호사업개시태양광99.9380602019-12-10
29302020-4870000-38-5-00002대평태양광발전소전라남도 구례군 마산면 갑산대평길 56-88전라남도 구례군 마산면 갑산리 155번지 1호전라남도 구례군 마산면 갑산대평길 56-88사업개시태양광95.55380602020-05-12
30312021-4870000-38-5-00001사포태양광발전소전라남도 구례군 산동면 사포길 65-1전라남도 구례군 산동면 관산리 356전라남도 구례군 산동면 사포길 72사업개시태양광29.63380602021-01-29
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