Overview

Dataset statistics

Number of variables6
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory52.5 B

Variable types

Numeric2
Text2
Categorical1
DateTime1

Dataset

Description전라남도 구례군 태양광발전사업 허가현황에 대한 데이터로 발전소명, 설치장소, 지목, 설비용량, 신청일 허가일 등을 제공합니다.
URLhttps://www.data.go.kr/data/15066711/fileData.do

Alerts

연번 has unique valuesUnique
발전소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:14:23.714445
Analysis finished2023-12-12 12:14:25.231774
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T21:14:25.369172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2023-12-12T21:14:25.596689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

발전소명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T21:14:25.904254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length11.433962
Min length5

Characters and Unicode

Total characters606
Distinct characters101
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

Unique53 ?
Unique (%)100.0%

Sample

1st row봉성새마을금고 태양광발전소
2nd row더케이지리산가족호텔 태양광발전소
3rd row지리산 산동발전소
4th row경재2호 태양광발전소
5th row하은문1호 태양광발전소
ValueCountFrequency (%)
태양광발전소 18
 
22.5%
농업회사법인(유 4
 
5.0%
당촌수상태양광발전소 1
 
1.2%
백인태양광발전소 1
 
1.2%
만수동1호태양광발전소 1
 
1.2%
만수동2호태양광발전소 1
 
1.2%
지산태양광발전소 1
 
1.2%
구례농협광의태양광발전소 1
 
1.2%
구례농협본점태양광발전소 1
 
1.2%
섬진강어류생태관도민발전소 1
 
1.2%
Other values (50) 50
62.5%
2023-12-12T21:14:26.458075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 50
 
8.3%
소 49
 
8.1%
양 49
 
8.1%
발 49
 
8.1%
광 48
 
7.9%
태 47
 
7.8%
27
 
4.5%
호 19
 
3.1%
지 16
 
2.6%
너 11
 
1.8%
Other values (91) 241
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
89.9%
Space Separator 27
 
4.5%
Decimal Number 20
 
3.3%
Close Punctuation 7
 
1.2%
Open Punctuation 7
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 50
 
9.2%
소 49
 
9.0%
양 49
 
9.0%
발 49
 
9.0%
광 48
 
8.8%
태 47
 
8.6%
호 19
 
3.5%
지 16
 
2.9%
너 11
 
2.0%
에 11
 
2.0%
Other values (84) 196
36.0%
Decimal Number
ValueCountFrequency (%)
2 8
40.0%
1 7
35.0%
3 4
20.0%
4 1
 
5.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
89.9%
Common 61
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 50
 
9.2%
소 49
 
9.0%
양 49
 
9.0%
발 49
 
9.0%
광 48
 
8.8%
태 47
 
8.6%
호 19
 
3.5%
지 16
 
2.9%
너 11
 
2.0%
에 11
 
2.0%
Other values (84) 196
36.0%
Common
ValueCountFrequency (%)
27
44.3%
2 8
 
13.1%
) 7
 
11.5%
( 7
 
11.5%
1 7
 
11.5%
3 4
 
6.6%
4 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
89.9%
ASCII 61
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 50
 
9.2%
소 49
 
9.0%
양 49
 
9.0%
발 49
 
9.0%
광 48
 
8.8%
태 47
 
8.6%
호 19
 
3.5%
지 16
 
2.9%
너 11
 
2.0%
에 11
 
2.0%
Other values (84) 196
36.0%
ASCII
ValueCountFrequency (%)
27
44.3%
2 8
 
13.1%
) 7
 
11.5%
( 7
 
11.5%
1 7
 
11.5%
3 4
 
6.6%
4 1
 
1.6%

설치장소
Text

Distinct47
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T21:14:26.932851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.471698
Min length18

Characters and Unicode

Total characters1244
Distinct characters80
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

Unique43 ?
Unique (%)81.1%

Sample

1st row전라남도 구례군 구례읍 상설시장길20
2nd row전라남도 구례군 산동면 지리산온천로 317
3rd row전라남도 구례군 산동면 지리산온천로 210-28
4th row전라남도 구례군 마산면 냉천리 887번지1호
5th row전라남도 구례군 문척면 토금2길 33-22
ValueCountFrequency (%)
구례군 53
18.3%
전라남도 52
17.9%
마산면 15
 
5.2%
간전면 11
 
3.8%
광평리 9
 
3.1%
산동면 7
 
2.4%
광의면 6
 
2.1%
수평리 5
 
1.7%
토지면 4
 
1.4%
안촌길 4
 
1.4%
Other values (91) 124
42.8%
2023-12-12T21:14:27.533201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
19.1%
전 66
 
5.3%
구 60
 
4.8%
례 57
 
4.6%
도 56
 
4.5%
군 53
 
4.3%
남 52
 
4.2%
라 52
 
4.2%
면 49
 
3.9%
산 42
 
3.4%
Other values (70) 520
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 791
63.6%
Space Separator 237
 
19.1%
Decimal Number 190
 
15.3%
Dash Punctuation 20
 
1.6%
Other Punctuation 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 66
 
8.3%
구 60
 
7.6%
례 57
 
7.2%
도 56
 
7.1%
군 53
 
6.7%
남 52
 
6.6%
라 52
 
6.6%
면 49
 
6.2%
산 42
 
5.3%
리 36
 
4.6%
Other values (55) 268
33.9%
Decimal Number
ValueCountFrequency (%)
1 42
22.1%
5 24
12.6%
3 21
11.1%
2 20
10.5%
4 17
8.9%
8 17
8.9%
7 16
 
8.4%
6 15
 
7.9%
9 12
 
6.3%
0 6
 
3.2%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 791
63.6%
Common 453
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 66
 
8.3%
구 60
 
7.6%
례 57
 
7.2%
도 56
 
7.1%
군 53
 
6.7%
남 52
 
6.6%
라 52
 
6.6%
면 49
 
6.2%
산 42
 
5.3%
리 36
 
4.6%
Other values (55) 268
33.9%
Common
ValueCountFrequency (%)
237
52.3%
1 42
 
9.3%
5 24
 
5.3%
3 21
 
4.6%
2 20
 
4.4%
- 20
 
4.4%
4 17
 
3.8%
8 17
 
3.8%
7 16
 
3.5%
6 15
 
3.3%
Other values (5) 24
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 791
63.6%
ASCII 453
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
52.3%
1 42
 
9.3%
5 24
 
5.3%
3 21
 
4.6%
2 20
 
4.4%
- 20
 
4.4%
4 17
 
3.8%
8 17
 
3.8%
7 16
 
3.5%
6 15
 
3.3%
Other values (5) 24
 
5.3%
Hangul
ValueCountFrequency (%)
전 66
 
8.3%
구 60
 
7.6%
례 57
 
7.2%
도 56
 
7.1%
군 53
 
6.7%
남 52
 
6.6%
라 52
 
6.6%
면 49
 
6.2%
산 42
 
5.3%
리 36
 
4.6%
Other values (55) 268
33.9%

지목
Categorical

Distinct10
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
건물 위
20 
잡
7 
답
6 
임
6 
전
5 
Other values (5)
9 

Length

Max length8
Median length4
Mean length2.4339623
Min length1

Unique

Unique4 ?
Unique (%)7.5%

Sample

1st row건물위
2nd row건물위, 주차장
3rd row건물 위
4th row답
5th row전

Common Values

ValueCountFrequency (%)
건물 위 20
37.7%
잡 7
 
13.2%
답 6
 
11.3%
임 6
 
11.3%
전 5
 
9.4%
유지 5
 
9.4%
건물위 1
 
1.9%
건물위, 주차장 1
 
1.9%
대 1
 
1.9%
주차장 1
 
1.9%

Length

2023-12-12T21:14:27.769017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:14:28.013967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물 20
27.0%
위 20
27.0%
잡 7
 
9.5%
답 6
 
8.1%
임 6
 
8.1%
전 5
 
6.8%
유지 5
 
6.8%
건물위 2
 
2.7%
주차장 2
 
2.7%
대 1
 
1.4%

설비용량(KW)
Real number (ℝ)

Distinct33
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.78792
Minimum14.28
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T21:14:28.211537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.28
5-th percentile19.38
Q197.2
median99.11
Q3447.26
95-th percentile1985.76
Maximum2016
Range2001.72
Interquartile range (IQR)350.06

Descriptive statistics

Standard deviation531.35484
Coefficient of variation (CV)1.6259929
Kurtosis5.5378858
Mean326.78792
Median Absolute Deviation (MAD)69.11
Skewness2.5153699
Sum17319.76
Variance282337.97
MonotonicityNot monotonic
2023-12-12T21:14:28.418207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
99.0 9
 
17.0%
99.12 4
 
7.5%
499.0 4
 
7.5%
2016.0 3
 
5.7%
99.2 2
 
3.8%
97.44 2
 
3.8%
99.76 2
 
3.8%
19.38 2
 
3.8%
20.0 1
 
1.9%
95.55 1
 
1.9%
Other values (23) 23
43.4%
ValueCountFrequency (%)
14.28 1
1.9%
18.86 1
1.9%
19.38 2
3.8%
19.47 1
1.9%
20.0 1
1.9%
27.71 1
1.9%
28.86 1
1.9%
29.63 1
1.9%
30.0 1
1.9%
35.0 1
1.9%
ValueCountFrequency (%)
2016.0 3
5.7%
1965.6 1
 
1.9%
997.5 1
 
1.9%
990.25 1
 
1.9%
500.0 1
 
1.9%
499.0 4
7.5%
488.46 1
 
1.9%
449.0 1
 
1.9%
447.26 1
 
1.9%
300.0 1
 
1.9%

허가일
Date

Distinct33
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2013-03-15 00:00:00
Maximum2023-02-13 00:00:00
2023-12-12T21:14:28.606322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:14:28.797232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

Interactions

2023-12-12T21:14:24.352455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:14:24.077590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:14:24.483683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:14:24.218214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:14:28.928760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발전소명설치장소지목설비용량(KW)허가일
연번1.0001.0000.9900.8610.8470.990
발전소명1.0001.0001.0001.0001.0001.000
설치장소0.9901.0001.0001.0001.0001.000
지목0.8611.0001.0001.0000.8260.990
설비용량(KW)0.8471.0001.0000.8261.0000.995
허가일0.9901.0001.0000.9900.9951.000
2023-12-12T21:14:29.085804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량(KW)지목
연번1.0000.1240.433
설비용량(KW)0.1241.0000.456
지목0.4330.4561.000

Missing values

2023-12-12T21:14:24.653271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:14:25.164816image/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

연번발전소명설치장소지목설비용량(KW)허가일
01봉성새마을금고 태양광발전소전라남도 구례군 구례읍 상설시장길20건물위20.02013-03-15
12더케이지리산가족호텔 태양광발전소전라남도 구례군 산동면 지리산온천로 317건물위, 주차장97.22013-04-18
23지리산 산동발전소전라남도 구례군 산동면 지리산온천로 210-28건물 위97.122013-04-18
34경재2호 태양광발전소전라남도 구례군 마산면 냉천리 887번지1호답99.112014-08-18
45하은문1호 태양광발전소전라남도 구례군 문척면 토금2길 33-22전99.02014-03-26
56하은문3호 태양광발전소전라남도 구례군 문척면 토금2길 20-6전98.82014-03-26
67(유)금화에너지1호 태양광발전소전라남도 구례군 마산면 광평리 831번지 3호잡99.02014-04-15
78(유)평전에너지 태양광발전소전라남도 구례군 마산면 광평리 831번지 13호잡99.02014-04-15
89해와바람2호 태양광발전소전라남도 구례군 마산면 광평리 831번지 13호잡99.02014-04-15
910(유)금화에너지2호 태양광발전소전라남도 구례군 마산면 광평리 841번지 14호잡30.02014-04-17
연번발전소명설치장소지목설비용량(KW)허가일
4344모래얼1호태양광발전소전라남도 구례군 토지면 안촌길 7-7건물 위99.122021-03-08
4445모래얼2호태양광발전소전라남도 구례군 토지면 안촌길 7-7건물 위99.122021-03-08
4546모래얼3호태양광발전소전라남도 구례군 토지면 안촌길 7-7건물 위99.122021-03-08
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