Overview

Dataset statistics

Number of variables22
Number of observations40
Missing cells120
Missing cells (%)13.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory182.3 B

Variable types

Numeric2
Text10
Categorical5
DateTime5

Dataset

Description"신재생 에너지 현황" 공공데이터는 특정 지역 또는 국가에서 생성되고 사용되는 신재생 에너지의 현황을 제공합니다. 이 데이터는 주로 에너지 원별 발전 현황, 설비 용량 및 설치 현황, 에너지 생산량 및 사용량, 정부 정책 및 지원 현황, 그리고 시장 동향 및 통계 등을 포함합니다. 이 데이터는 에너지 정책 수립, 에너지 시장 분석, 환경 보호 등 다양한 분야에서 활용됩니다.
Author전라남도 구례군
URLhttps://www.data.go.kr/data/15030047/fileData.do

Alerts

영업구분 has constant value ""Constant
원동력의종류 has constant value ""Constant
주파수(Hz) has constant value ""Constant
공급전압(V) is highly imbalanced (63.3%)Imbalance
소재지(도로명) has 16 (40.0%) missing valuesMissing
소재지(지번) has 1 (2.5%) missing valuesMissing
전화번호 has 32 (80.0%) missing valuesMissing
기타사항 has 35 (87.5%) missing valuesMissing
사업구역 has 36 (90.0%) missing valuesMissing
순번 has unique valuesUnique
인허가번호 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:33:54.202304
Analysis finished2024-03-23 05:33:55.001303
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T14:33:55.473790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2024-03-23T14:33:55.682984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

인허가번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T14:33:56.035440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters920
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

Unique40 ?
Unique (%)100.0%

Sample

1st row2023-4870000-38-5-00005
2nd row2023-4870000-38-5-00001
3rd row2022-4870000-38-5-00006
4th row2022-4870000-38-5-00003
5th row2022-4870000-38-5-00002
ValueCountFrequency (%)
2023-4870000-38-5-00005 1
 
2.5%
2023-4870000-38-5-00001 1
 
2.5%
2014-4870000-38-5-03248 1
 
2.5%
2016-4870000-38-5-00000 1
 
2.5%
2015-4870000-38-5-02362 1
 
2.5%
2015-4870000-38-5-00010 1
 
2.5%
2015-4870000-38-5-00009 1
 
2.5%
2015-4870000-38-5-00008 1
 
2.5%
2014-4870000-38-5-03651 1
 
2.5%
2014-4870000-38-5-03323 1
 
2.5%
Other values (30) 30
75.0%
2024-03-23T14:33:56.798008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 320
34.8%
- 160
17.4%
8 88
 
9.6%
2 67
 
7.3%
4 61
 
6.6%
3 58
 
6.3%
5 55
 
6.0%
1 48
 
5.2%
7 46
 
5.0%
6 14
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 760
82.6%
Dash Punctuation 160
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 320
42.1%
8 88
 
11.6%
2 67
 
8.8%
4 61
 
8.0%
3 58
 
7.6%
5 55
 
7.2%
1 48
 
6.3%
7 46
 
6.1%
6 14
 
1.8%
9 3
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 320
34.8%
- 160
17.4%
8 88
 
9.6%
2 67
 
7.3%
4 61
 
6.6%
3 58
 
6.3%
5 55
 
6.0%
1 48
 
5.2%
7 46
 
5.0%
6 14
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 320
34.8%
- 160
17.4%
8 88
 
9.6%
2 67
 
7.3%
4 61
 
6.6%
3 58
 
6.3%
5 55
 
6.0%
1 48
 
5.2%
7 46
 
5.0%
6 14
 
1.5%

인허가관리번호
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T14:33:57.153890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.55
Min length4

Characters and Unicode

Total characters222
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)90.0%

Sample

1st row구례86
2nd row구례 82
3rd row구례 81
4th row구례 77
5th row구례 78
ValueCountFrequency (%)
구례 26
32.9%
전남 13
16.5%
3051 2
 
2.5%
3052 2
 
2.5%
1886 1
 
1.3%
1534 1
 
1.3%
구례86 1
 
1.3%
3651 1
 
1.3%
15 1
 
1.3%
16 1
 
1.3%
Other values (30) 30
38.0%
2024-03-23T14:33:57.689711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
17.6%
구 27
12.2%
례 27
12.2%
3 16
7.2%
2 15
 
6.8%
5 14
 
6.3%
전 13
 
5.9%
남 13
 
5.9%
1 13
 
5.9%
6 13
 
5.9%
Other values (5) 32
14.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 103
46.4%
Other Letter 80
36.0%
Space Separator 39
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 16
15.5%
2 15
14.6%
5 14
13.6%
1 13
12.6%
6 13
12.6%
4 10
9.7%
8 9
8.7%
0 6
 
5.8%
7 6
 
5.8%
9 1
 
1.0%
Other Letter
ValueCountFrequency (%)
구 27
33.8%
례 27
33.8%
전 13
16.2%
남 13
16.2%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 142
64.0%
Hangul 80
36.0%

Most frequent character per script

Common
ValueCountFrequency (%)
39
27.5%
3 16
11.3%
2 15
 
10.6%
5 14
 
9.9%
1 13
 
9.2%
6 13
 
9.2%
4 10
 
7.0%
8 9
 
6.3%
0 6
 
4.2%
7 6
 
4.2%
Hangul
ValueCountFrequency (%)
구 27
33.8%
례 27
33.8%
전 13
16.2%
남 13
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142
64.0%
Hangul 80
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
27.5%
3 16
11.3%
2 15
 
10.6%
5 14
 
9.9%
1 13
 
9.2%
6 13
 
9.2%
4 10
 
7.0%
8 9
 
6.3%
0 6
 
4.2%
7 6
 
4.2%
Hangul
ValueCountFrequency (%)
구 27
33.8%
례 27
33.8%
전 13
16.2%
남 13
16.2%

상호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T14:33:58.052657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16.5
Mean length12.225
Min length7

Characters and Unicode

Total characters489
Distinct characters85
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

Unique40 ?
Unique (%)100.0%

Sample

1st row연곤태양광발전소
2nd row구만태양광발전소
3rd row섬지태양광발전소
4th row대평2호 태양광발전소
5th row하림 태양광발전소
ValueCountFrequency (%)
태양광발전소 26
32.5%
농업회사법인(유 3
 
3.8%
구례농협 2
 
2.5%
유)금화에너지2호 1
 
1.2%
구례에너지1호 1
 
1.2%
양정 1
 
1.2%
해와바람2호 1
 
1.2%
청정3호 1
 
1.2%
케이솔라일호 1
 
1.2%
광의태양광 1
 
1.2%
Other values (42) 42
52.5%
2024-03-23T14:33:58.667781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
8.2%
전 39
 
8.0%
발 38
 
7.8%
양 37
 
7.6%
광 37
 
7.6%
소 37
 
7.6%
태 35
 
7.2%
호 16
 
3.3%
지 15
 
3.1%
너 10
 
2.0%
Other values (75) 185
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
85.7%
Space Separator 40
 
8.2%
Decimal Number 16
 
3.3%
Close Punctuation 7
 
1.4%
Open Punctuation 7
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 39
 
9.3%
발 38
 
9.1%
양 37
 
8.8%
광 37
 
8.8%
소 37
 
8.8%
태 35
 
8.4%
호 16
 
3.8%
지 15
 
3.6%
너 10
 
2.4%
에 10
 
2.4%
Other values (69) 145
34.6%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
2 6
37.5%
3 4
25.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
85.7%
Common 70
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 39
 
9.3%
발 38
 
9.1%
양 37
 
8.8%
광 37
 
8.8%
소 37
 
8.8%
태 35
 
8.4%
호 16
 
3.8%
지 15
 
3.6%
너 10
 
2.4%
에 10
 
2.4%
Other values (69) 145
34.6%
Common
ValueCountFrequency (%)
40
57.1%
) 7
 
10.0%
( 7
 
10.0%
1 6
 
8.6%
2 6
 
8.6%
3 4
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
85.7%
ASCII 70
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
57.1%
) 7
 
10.0%
( 7
 
10.0%
1 6
 
8.6%
2 6
 
8.6%
3 4
 
5.7%
Hangul
ValueCountFrequency (%)
전 39
 
9.3%
발 38
 
9.1%
양 37
 
8.8%
광 37
 
8.8%
소 37
 
8.8%
태 35
 
8.4%
호 16
 
3.8%
지 15
 
3.6%
너 10
 
2.4%
에 10
 
2.4%
Other values (69) 145
34.6%

소재지(도로명)
Text

MISSING 

Distinct21
Distinct (%)87.5%
Missing16
Missing (%)40.0%
Memory size452.0 B
2024-03-23T14:33:58.975591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length23.75
Min length19

Characters and Unicode

Total characters570
Distinct characters79
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)79.2%

Sample

1st row전라남도 구례군 마산면 갑산길 127-31
2nd row전라남도 구례군 광의면 구만길 19
3rd row전라남도 구례군 마산면 갑산대평길 56-84
4th row전라남도 구례군 마산면 갑산대평길 56-88
5th row전라남도 구례군 마산면 갑산대평길 56-88
ValueCountFrequency (%)
전라남도 22
18.0%
구례군 22
18.0%
마산면 6
 
4.9%
산동면 6
 
4.9%
갑산대평길 4
 
3.3%
구례읍 4
 
3.3%
56-88 3
 
2.5%
지리산온천로 3
 
2.5%
문척면 2
 
1.6%
전라북도 2
 
1.6%
Other values (40) 48
39.3%
2024-03-23T14:33:59.550434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
17.2%
구 28
 
4.9%
전 27
 
4.7%
산 26
 
4.6%
례 26
 
4.6%
라 24
 
4.2%
도 24
 
4.2%
남 22
 
3.9%
군 22
 
3.9%
면 18
 
3.2%
Other values (69) 255
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
63.5%
Space Separator 98
 
17.2%
Decimal Number 88
 
15.4%
Dash Punctuation 13
 
2.3%
Other Punctuation 3
 
0.5%
Open Punctuation 2
 
0.4%
Lowercase Letter 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 28
 
7.7%
전 27
 
7.5%
산 26
 
7.2%
례 26
 
7.2%
라 24
 
6.6%
도 24
 
6.6%
남 22
 
6.1%
군 22
 
6.1%
면 18
 
5.0%
길 16
 
4.4%
Other values (53) 129
35.6%
Decimal Number
ValueCountFrequency (%)
1 18
20.5%
2 13
14.8%
4 10
11.4%
8 9
10.2%
6 8
9.1%
5 8
9.1%
7 7
 
8.0%
3 6
 
6.8%
0 6
 
6.8%
9 3
 
3.4%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
63.5%
Common 206
36.1%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 28
 
7.7%
전 27
 
7.5%
산 26
 
7.2%
례 26
 
7.2%
라 24
 
6.6%
도 24
 
6.6%
남 22
 
6.1%
군 22
 
6.1%
면 18
 
5.0%
길 16
 
4.4%
Other values (53) 129
35.6%
Common
ValueCountFrequency (%)
98
47.6%
1 18
 
8.7%
- 13
 
6.3%
2 13
 
6.3%
4 10
 
4.9%
8 9
 
4.4%
6 8
 
3.9%
5 8
 
3.9%
7 7
 
3.4%
3 6
 
2.9%
Other values (5) 16
 
7.8%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
63.5%
ASCII 208
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
47.1%
1 18
 
8.7%
- 13
 
6.2%
2 13
 
6.2%
4 10
 
4.8%
8 9
 
4.3%
6 8
 
3.8%
5 8
 
3.8%
7 7
 
3.4%
3 6
 
2.9%
Other values (6) 18
 
8.7%
Hangul
ValueCountFrequency (%)
구 28
 
7.7%
전 27
 
7.5%
산 26
 
7.2%
례 26
 
7.2%
라 24
 
6.6%
도 24
 
6.6%
남 22
 
6.1%
군 22
 
6.1%
면 18
 
5.0%
길 16
 
4.4%
Other values (53) 129
35.6%

소재지(지번)
Text

MISSING 

Distinct37
Distinct (%)94.9%
Missing1
Missing (%)2.5%
Memory size452.0 B
2024-03-23T14:33:59.908542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length25.538462
Min length19

Characters and Unicode

Total characters996
Distinct characters74
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)89.7%

Sample

1st row전라남도 구례군 마산면 갑산리 505-12 / 갑산리 505-21
2nd row전라남도 구례군 광의면 구만리 243
3rd row전라남도 구례군 마산면 갑산리 155-5
4th row전라남도 구례군 마산면 갑산리 155-1
5th row전라남도 구례군 마산면 갑산리 155-1
ValueCountFrequency (%)
전라남도 37
 
15.9%
구례군 37
 
15.9%
마산면 15
 
6.5%
광평리 9
 
3.9%
1호 7
 
3.0%
갑산리 6
 
2.6%
산동면 5
 
2.2%
구례읍 5
 
2.2%
간전면 5
 
2.2%
광의면 4
 
1.7%
Other values (77) 102
44.0%
2024-03-23T14:34:00.519446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
19.4%
전 46
 
4.6%
구 43
 
4.3%
례 42
 
4.2%
1 42
 
4.2%
도 39
 
3.9%
산 39
 
3.9%
라 39
 
3.9%
리 38
 
3.8%
남 37
 
3.7%
Other values (64) 438
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
62.0%
Space Separator 193
 
19.4%
Decimal Number 171
 
17.2%
Dash Punctuation 8
 
0.8%
Lowercase Letter 2
 
0.2%
Other Punctuation 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 46
 
7.4%
구 43
 
7.0%
례 42
 
6.8%
도 39
 
6.3%
산 39
 
6.3%
라 39
 
6.3%
리 38
 
6.1%
남 37
 
6.0%
군 37
 
6.0%
면 32
 
5.2%
Other values (47) 226
36.6%
Decimal Number
ValueCountFrequency (%)
1 42
24.6%
5 33
19.3%
4 16
 
9.4%
3 14
 
8.2%
2 14
 
8.2%
8 13
 
7.6%
7 12
 
7.0%
6 10
 
5.8%
0 9
 
5.3%
9 8
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
62.0%
Common 376
37.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 46
 
7.4%
구 43
 
7.0%
례 42
 
6.8%
도 39
 
6.3%
산 39
 
6.3%
라 39
 
6.3%
리 38
 
6.1%
남 37
 
6.0%
군 37
 
6.0%
면 32
 
5.2%
Other values (47) 226
36.6%
Common
ValueCountFrequency (%)
193
51.3%
1 42
 
11.2%
5 33
 
8.8%
4 16
 
4.3%
3 14
 
3.7%
2 14
 
3.7%
8 13
 
3.5%
7 12
 
3.2%
6 10
 
2.7%
0 9
 
2.4%
Other values (6) 20
 
5.3%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
62.0%
ASCII 378
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
51.1%
1 42
 
11.1%
5 33
 
8.7%
4 16
 
4.2%
3 14
 
3.7%
2 14
 
3.7%
8 13
 
3.4%
7 12
 
3.2%
6 10
 
2.6%
0 9
 
2.4%
Other values (7) 22
 
5.8%
Hangul
ValueCountFrequency (%)
전 46
 
7.4%
구 43
 
7.0%
례 42
 
6.8%
도 39
 
6.3%
산 39
 
6.3%
라 39
 
6.3%
리 38
 
6.1%
남 37
 
6.0%
군 37
 
6.0%
면 32
 
5.2%
Other values (47) 226
36.6%

설치장소소재지
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T14:34:01.066778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length24.6
Min length19

Characters and Unicode

Total characters984
Distinct characters83
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

Unique31 ?
Unique (%)77.5%

Sample

1st row전라남도 구례군 마산면 갑산길 127-31
2nd row전라남도 구례군 광의면 구만길 19
3rd row전라남도 구례군 마산면 갑산대평길 56-84
4th row전라남도 구례군 마산면 갑산대평길 56-88
5th row전라남도 구례군 마산면 갑산대평길 56-88
ValueCountFrequency (%)
전라남도 40
17.9%
구례군 40
17.9%
마산면 15
 
6.7%
광평리 8
 
3.6%
산동면 6
 
2.7%
간전면 6
 
2.7%
광의면 5
 
2.2%
토금2길 4
 
1.8%
갑산대평길 4
 
1.8%
문척면 4
 
1.8%
Other values (70) 92
41.1%
2024-03-23T14:34:01.789035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
18.7%
전 49
 
5.0%
구 45
 
4.6%
례 43
 
4.4%
군 40
 
4.1%
라 40
 
4.1%
도 40
 
4.1%
남 40
 
4.1%
면 37
 
3.8%
산 36
 
3.7%
Other values (73) 430
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
62.8%
Space Separator 184
 
18.7%
Decimal Number 160
 
16.3%
Dash Punctuation 16
 
1.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 49
 
7.9%
구 45
 
7.3%
례 43
 
7.0%
군 40
 
6.5%
라 40
 
6.5%
도 40
 
6.5%
남 40
 
6.5%
면 37
 
6.0%
산 36
 
5.8%
지 24
 
3.9%
Other values (58) 224
36.2%
Decimal Number
ValueCountFrequency (%)
1 29
18.1%
2 24
15.0%
3 19
11.9%
5 18
11.2%
8 18
11.2%
6 15
9.4%
4 14
8.8%
7 10
 
6.2%
0 7
 
4.4%
9 6
 
3.8%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
62.8%
Common 366
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 49
 
7.9%
구 45
 
7.3%
례 43
 
7.0%
군 40
 
6.5%
라 40
 
6.5%
도 40
 
6.5%
남 40
 
6.5%
면 37
 
6.0%
산 36
 
5.8%
지 24
 
3.9%
Other values (58) 224
36.2%
Common
ValueCountFrequency (%)
184
50.3%
1 29
 
7.9%
2 24
 
6.6%
3 19
 
5.2%
5 18
 
4.9%
8 18
 
4.9%
- 16
 
4.4%
6 15
 
4.1%
4 14
 
3.8%
7 10
 
2.7%
Other values (5) 19
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
62.8%
ASCII 366
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
50.3%
1 29
 
7.9%
2 24
 
6.6%
3 19
 
5.2%
5 18
 
4.9%
8 18
 
4.9%
- 16
 
4.4%
6 15
 
4.1%
4 14
 
3.8%
7 10
 
2.7%
Other values (5) 19
 
5.2%
Hangul
ValueCountFrequency (%)
전 49
 
7.9%
구 45
 
7.3%
례 43
 
7.0%
군 40
 
6.5%
라 40
 
6.5%
도 40
 
6.5%
남 40
 
6.5%
면 37
 
6.0%
산 36
 
5.8%
지 24
 
3.9%
Other values (58) 224
36.2%

전화번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing32
Missing (%)80.0%
Memory size452.0 B
2024-03-23T14:34:02.128251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters96
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

Unique8 ?
Unique (%)100.0%

Sample

1st row062-570-1576
2nd row061-322-0433
3rd row061-280-0465
4th row061-781-0365
5th row061-781-0361
ValueCountFrequency (%)
062-570-1576 1
12.5%
061-322-0433 1
12.5%
061-280-0465 1
12.5%
061-781-0365 1
12.5%
061-781-0361 1
12.5%
062-570-1522 1
12.5%
061-780-7119 1
12.5%
061-780-3180 1
12.5%
2024-03-23T14:34:02.660059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18
18.8%
- 16
16.7%
1 14
14.6%
6 12
12.5%
7 8
8.3%
2 7
 
7.3%
5 6
 
6.2%
3 6
 
6.2%
8 6
 
6.2%
4 2
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
83.3%
Dash Punctuation 16
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
22.5%
1 14
17.5%
6 12
15.0%
7 8
10.0%
2 7
 
8.8%
5 6
 
7.5%
3 6
 
7.5%
8 6
 
7.5%
4 2
 
2.5%
9 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18
18.8%
- 16
16.7%
1 14
14.6%
6 12
12.5%
7 8
8.3%
2 7
 
7.3%
5 6
 
6.2%
3 6
 
6.2%
8 6
 
6.2%
4 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18
18.8%
- 16
16.7%
1 14
14.6%
6 12
12.5%
7 8
8.3%
2 7
 
7.3%
5 6
 
6.2%
3 6
 
6.2%
8 6
 
6.2%
4 2
 
2.1%

법인여부
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
개인
32 
법인
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 32
80.0%
법인 8
 
20.0%

Length

2024-03-23T14:34:02.920099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:34:03.176369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 32
80.0%
법인 8
 
20.0%

대표자명
Text

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-23T14:34:03.555269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.275
Min length3

Characters and Unicode

Total characters131
Distinct characters76
Distinct categories4 ?
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 (%)75.0%

Sample

1st row박연곤
2nd row조희기
3rd row신승구
4th row이종찬
5th row이종찬
ValueCountFrequency (%)
이종찬 3
 
7.3%
이윤창 3
 
7.3%
김혜선 2
 
4.9%
안복규 2
 
4.9%
고덕례 1
 
2.4%
김정례 1
 
2.4%
강준식 1
 
2.4%
박종선 1
 
2.4%
장경재 1
 
2.4%
유진슬 1
 
2.4%
Other values (25) 25
61.0%
2024-03-23T14:34:04.126797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
6.1%
김 5
 
3.8%
기 5
 
3.8%
박 4
 
3.1%
종 4
 
3.1%
신 4
 
3.1%
윤 4
 
3.1%
혜 3
 
2.3%
선 3
 
2.3%
규 3
 
2.3%
Other values (66) 88
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
97.7%
Open Punctuation 1
 
0.8%
Space Separator 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
6.2%
김 5
 
3.9%
기 5
 
3.9%
박 4
 
3.1%
종 4
 
3.1%
신 4
 
3.1%
윤 4
 
3.1%
혜 3
 
2.3%
선 3
 
2.3%
규 3
 
2.3%
Other values (63) 85
66.4%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
97.7%
Common 3
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
6.2%
김 5
 
3.9%
기 5
 
3.9%
박 4
 
3.1%
종 4
 
3.1%
신 4
 
3.1%
윤 4
 
3.1%
혜 3
 
2.3%
선 3
 
2.3%
규 3
 
2.3%
Other values (63) 85
66.4%
Common
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
97.7%
ASCII 3
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
6.2%
김 5
 
3.9%
기 5
 
3.9%
박 4
 
3.1%
종 4
 
3.1%
신 4
 
3.1%
윤 4
 
3.1%
혜 3
 
2.3%
선 3
 
2.3%
규 3
 
2.3%
Other values (63) 85
66.4%
ASCII
ValueCountFrequency (%)
( 1
33.3%
1
33.3%
) 1
33.3%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
사업개시
40 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 40
100.0%

Length

2024-03-23T14:34:04.378824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:34:04.518969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 40
100.0%

원동력의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
태양광
40 

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 40
100.0%

Length

2024-03-23T14:34:04.674651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:34:04.863728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 40
100.0%

설비용량(KW)
Real number (ℝ)

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.14725
Minimum14.28
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-23T14:34:05.018029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.28
5-th percentile19.38
Q180.4125
median99
Q399.78
95-th percentile524.5125
Maximum2016
Range2001.72
Interquartile range (IQR)19.3675

Descriptive statistics

Standard deviation349.36003
Coefficient of variation (CV)1.7994591
Kurtosis19.748882
Mean194.14725
Median Absolute Deviation (MAD)1.84
Skewness4.1590392
Sum7765.89
Variance122052.43
MonotonicityNot monotonic
2024-03-23T14:34:05.228647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
99.0 11
27.5%
99.2 2
 
5.0%
19.38 2
 
5.0%
99.76 2
 
5.0%
20.0 1
 
2.5%
97.2 1
 
2.5%
97.12 1
 
2.5%
99.11 1
 
2.5%
98.8 1
 
2.5%
30.0 1
 
2.5%
Other values (17) 17
42.5%
ValueCountFrequency (%)
14.28 1
2.5%
19.38 2
5.0%
19.64 1
2.5%
20.0 1
2.5%
28.71 1
2.5%
28.86 1
2.5%
29.63 1
2.5%
30.0 1
2.5%
35.0 1
2.5%
95.55 1
2.5%
ValueCountFrequency (%)
2016.0 1
2.5%
990.25 1
2.5%
500.0 1
2.5%
488.46 1
2.5%
449.0 1
2.5%
442.26 1
2.5%
300.0 1
2.5%
160.6 1
2.5%
99.9 1
2.5%
99.84 1
2.5%

공급전압(V)
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
380
35 
220
 
2
22900
 
2
380/22,900
 
1

Length

Max length10
Median length3
Mean length3.275
Min length3

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
380 35
87.5%
220 2
 
5.0%
22900 2
 
5.0%
380/22,900 1
 
2.5%

Length

2024-03-23T14:34:05.453348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:34:05.686488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 35
87.5%
220 2
 
5.0%
22900 2
 
5.0%
380/22,900 1
 
2.5%

주파수(Hz)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
60
40 

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 40
100.0%

Length

2024-03-23T14:34:05.923289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:34:06.170751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 40
100.0%

허가일자
Date

Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2013-03-15 00:00:00
Maximum2023-05-23 00:00:00
2024-03-23T14:34:06.403176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:34:06.668287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

기타사항
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing35
Missing (%)87.5%
Memory size452.0 B
2024-03-23T14:34:06.986253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length31.8
Min length26

Characters and Unicode

Total characters159
Distinct characters42
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

Unique3 ?
Unique (%)60.0%

Sample

1st row사업허가 변경 : 2019.7.10.(48.6 kw ==> 28.86kw)
2nd row허가번호: 전남 제4272호('16.3.25.)
3rd row사업개시 누락(에너지산업과-562(2015.1.12))
4th row사업개시 누락(도시경제과-14172(2015.2.27))
5th row사업개시 누락(도시경제과-14172(2015.2.27))
ValueCountFrequency (%)
사업개시 3
18.8%
누락(도시경제과-14172(2015.2.27 2
12.5%
2
12.5%
사업허가 1
 
6.2%
변경 1
 
6.2%
2019.7.10.(48.6 1
 
6.2%
kw 1
 
6.2%
28.86kw 1
 
6.2%
허가번호 1
 
6.2%
전남 1
 
6.2%
Other values (2) 2
12.5%
2024-03-23T14:34:07.639473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 16
 
10.1%
. 14
 
8.8%
1 12
 
7.5%
11
 
6.9%
) 8
 
5.0%
( 8
 
5.0%
7 6
 
3.8%
업 5
 
3.1%
시 5
 
3.1%
5 5
 
3.1%
Other values (32) 69
43.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57
35.8%
Other Letter 48
30.2%
Other Punctuation 17
 
10.7%
Space Separator 11
 
6.9%
Close Punctuation 8
 
5.0%
Open Punctuation 8
 
5.0%
Lowercase Letter 4
 
2.5%
Dash Punctuation 3
 
1.9%
Math Symbol 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5
 
10.4%
시 5
 
10.4%
사 4
 
8.3%
과 3
 
6.2%
제 3
 
6.2%
경 3
 
6.2%
락 3
 
6.2%
누 3
 
6.2%
개 3
 
6.2%
호 2
 
4.2%
Other values (11) 14
29.2%
Decimal Number
ValueCountFrequency (%)
2 16
28.1%
1 12
21.1%
7 6
 
10.5%
5 5
 
8.8%
0 5
 
8.8%
4 4
 
7.0%
6 4
 
7.0%
8 3
 
5.3%
9 1
 
1.8%
3 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 14
82.4%
: 2
 
11.8%
' 1
 
5.9%
Math Symbol
ValueCountFrequency (%)
= 2
66.7%
> 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
w 2
50.0%
k 2
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107
67.3%
Hangul 48
30.2%
Latin 4
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5
 
10.4%
시 5
 
10.4%
사 4
 
8.3%
과 3
 
6.2%
제 3
 
6.2%
경 3
 
6.2%
락 3
 
6.2%
누 3
 
6.2%
개 3
 
6.2%
호 2
 
4.2%
Other values (11) 14
29.2%
Common
ValueCountFrequency (%)
2 16
15.0%
. 14
13.1%
1 12
11.2%
11
10.3%
) 8
7.5%
( 8
7.5%
7 6
 
5.6%
5 5
 
4.7%
0 5
 
4.7%
4 4
 
3.7%
Other values (9) 18
16.8%
Latin
ValueCountFrequency (%)
w 2
50.0%
k 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 111
69.8%
Hangul 48
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 16
14.4%
. 14
12.6%
1 12
10.8%
11
9.9%
) 8
 
7.2%
( 8
 
7.2%
7 6
 
5.4%
5 5
 
4.5%
0 5
 
4.5%
4 4
 
3.6%
Other values (11) 22
19.8%
Hangul
ValueCountFrequency (%)
업 5
 
10.4%
시 5
 
10.4%
사 4
 
8.3%
과 3
 
6.2%
제 3
 
6.2%
경 3
 
6.2%
락 3
 
6.2%
누 3
 
6.2%
개 3
 
6.2%
호 2
 
4.2%
Other values (11) 14
29.2%

사업구역
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing36
Missing (%)90.0%
Memory size452.0 B
2024-03-23T14:34:07.939455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19.5
Mean length17.25
Min length7

Characters and Unicode

Total characters69
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row간전면 양천리
2nd row전라남도 구례군 문천면 토금2길 20-6
3rd row전라남도 구례군 문척면 토금2길 33-22
4th row구례군 산동면 대평리 729번지
ValueCountFrequency (%)
구례군 3
18.8%
전라남도 2
12.5%
토금2길 2
12.5%
간전면 1
 
6.2%
양천리 1
 
6.2%
문천면 1
 
6.2%
20-6 1
 
6.2%
문척면 1
 
6.2%
33-22 1
 
6.2%
산동면 1
 
6.2%
Other values (2) 2
12.5%
2024-03-23T14:34:08.467060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
17.4%
2 6
 
8.7%
면 4
 
5.8%
군 3
 
4.3%
전 3
 
4.3%
구 3
 
4.3%
례 3
 
4.3%
문 2
 
2.9%
3 2
 
2.9%
- 2
 
2.9%
Other values (21) 29
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43
62.3%
Space Separator 12
 
17.4%
Decimal Number 12
 
17.4%
Dash Punctuation 2
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 4
 
9.3%
군 3
 
7.0%
전 3
 
7.0%
구 3
 
7.0%
례 3
 
7.0%
문 2
 
4.7%
길 2
 
4.7%
토 2
 
4.7%
금 2
 
4.7%
도 2
 
4.7%
Other values (13) 17
39.5%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
3 2
 
16.7%
9 1
 
8.3%
7 1
 
8.3%
6 1
 
8.3%
0 1
 
8.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43
62.3%
Common 26
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 4
 
9.3%
군 3
 
7.0%
전 3
 
7.0%
구 3
 
7.0%
례 3
 
7.0%
문 2
 
4.7%
길 2
 
4.7%
토 2
 
4.7%
금 2
 
4.7%
도 2
 
4.7%
Other values (13) 17
39.5%
Common
ValueCountFrequency (%)
12
46.2%
2 6
23.1%
3 2
 
7.7%
- 2
 
7.7%
9 1
 
3.8%
7 1
 
3.8%
6 1
 
3.8%
0 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43
62.3%
ASCII 26
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
46.2%
2 6
23.1%
3 2
 
7.7%
- 2
 
7.7%
9 1
 
3.8%
7 1
 
3.8%
6 1
 
3.8%
0 1
 
3.8%
Hangul
ValueCountFrequency (%)
면 4
 
9.3%
군 3
 
7.0%
전 3
 
7.0%
구 3
 
7.0%
례 3
 
7.0%
문 2
 
4.7%
길 2
 
4.7%
토 2
 
4.7%
금 2
 
4.7%
도 2
 
4.7%
Other values (13) 17
39.5%

접수(등록)일자
Date

Distinct23
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2015-09-11 00:00:00
Maximum2023-05-23 00:00:00
2024-03-23T14:34:08.672221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:34:08.909178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

준비시간시작일
Date

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2013-03-15 00:00:00
Maximum2023-05-23 00:00:00
2024-03-23T14:34:09.182573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:34:09.457925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

준비기간종료일
Date

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2016-03-14 00:00:00
Maximum2024-11-22 00:00:00
2024-03-23T14:34:09.663614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:34:09.857127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

사업개시일
Date

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2013-08-15 00:00:00
Maximum2023-12-18 00:00:00
2024-03-23T14:34:10.092532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:34:10.353227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

Sample

순번인허가번호인허가관리번호상호소재지(도로명)소재지(지번)설치장소소재지전화번호법인여부대표자명영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자기타사항사업구역접수(등록)일자준비시간시작일준비기간종료일사업개시일
012023-4870000-38-5-00005구례86연곤태양광발전소전라남도 구례군 마산면 갑산길 127-31전라남도 구례군 마산면 갑산리 505-12 / 갑산리 505-21전라남도 구례군 마산면 갑산길 127-31<NA>개인박연곤사업개시태양광99.84380602023-05-23<NA><NA>2023-05-232023-05-232024-11-222023-12-18
122023-4870000-38-5-00001구례 82구만태양광발전소전라남도 구례군 광의면 구만길 19전라남도 구례군 광의면 구만리 243전라남도 구례군 광의면 구만길 19<NA>개인조희기사업개시태양광19.64220602023-02-13<NA><NA>2023-02-132023-02-132024-08-122023-07-06
232022-4870000-38-5-00006구례 81섬지태양광발전소전라남도 구례군 마산면 갑산대평길 56-84전라남도 구례군 마산면 갑산리 155-5전라남도 구례군 마산면 갑산대평길 56-84062-570-1576개인신승구사업개시태양광449.0380602022-07-28<NA><NA>2022-07-282022-07-282024-01-272023-01-06
342022-4870000-38-5-00003구례 77대평2호 태양광발전소전라남도 구례군 마산면 갑산대평길 56-88전라남도 구례군 마산면 갑산리 155-1전라남도 구례군 마산면 갑산대평길 56-88<NA>개인이종찬사업개시태양광99.76380602022-04-20<NA><NA>2022-04-202022-04-202023-10-192022-12-09
452022-4870000-38-5-00002구례 78하림 태양광발전소전라남도 구례군 마산면 갑산대평길 56-88전라남도 구례군 마산면 갑산리 155-1전라남도 구례군 마산면 갑산대평길 56-88<NA>개인이종찬사업개시태양광99.76380602022-04-20<NA><NA>2022-04-202022-04-202023-10-192022-12-09
562021-4870000-38-5-00007구례 72마루 태양광발전소전라남도 구례군 간전면 용지동길 194-10전라남도 구례군 간전면 금산리 51전라남도 구례군 간전면 용지동길 194-10061-322-0433개인장기순사업개시태양광28.71220602021-04-22<NA><NA>2021-04-222021-04-222024-04-222021-09-23
672021-4870000-38-5-00001구례 66사포태양광발전소전라남도 구례군 산동면 사포길 65-1전라남도 구례군 산동면 관산리 356전라남도 구례군 산동면 사포길 72<NA>개인박현룡사업개시태양광29.63380602021-01-29<NA><NA>2021-01-292021-01-292024-01-292021-08-13
782020-4870000-38-5-00002구례 64대평태양광발전소전라남도 구례군 마산면 갑산대평길 56-88전라남도 구례군 마산면 갑산리 155번지 1호전라남도 구례군 마산면 갑산대평길 56-88<NA>개인이종찬사업개시태양광95.55380602020-05-12<NA><NA>2020-05-122020-05-122023-05-112022-12-09
892019-4870000-38-5-00005구례 61만수동 3호 태양광발전소전라남도 구례군 구례읍 봉서산정길 44-7전라남도 구례군 구례읍 봉서리 1013번지 9호전라남도 구례군 간전면 수평리 53번지 2호<NA>개인신중식사업개시태양광99.9380602019-12-10<NA><NA>2019-12-192019-12-102022-12-092021-12-31
9102019-4870000-38-5-00004구례 60전남개발공사 도민발전소전라남도 구례군 간전면 간전중앙로 47전라남도 구례군 간전면 양천리 815번지 12호전라남도 구례군 간전면 간전중앙로 47061-280-0465법인전남개발공사(대표 김철신)사업개시태양광488.46380602019-12-04<NA>간전면 양천리2019-12-092019-12-042022-12-032020-12-29
순번인허가번호인허가관리번호상호소재지(도로명)소재지(지번)설치장소소재지전화번호법인여부대표자명영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자기타사항사업구역접수(등록)일자준비시간시작일준비기간종료일사업개시일
30312014-4870000-38-5-03247전남 3247(유)평전에너지 태양광발전소<NA>전라남도 구례군 마산면 광평리 831번지 12호전라남도 구례군 마산면 광평리 831번지 13호<NA>개인고덕례사업개시태양광99.0380602014-04-15<NA><NA>2015-09-112014-04-152017-04-142014-11-03
31322014-4870000-38-5-03246전남 3246(유)금화에너지1호 태양광발전소<NA>전라남도 구례군 마산면 광평리 831번지 3호전라남도 구례군 마산면 광평리 831번지 3호<NA>개인문은주사업개시태양광99.0380602014-04-15<NA><NA>2015-09-112014-04-152017-04-142014-11-03
32332014-4870000-38-5-03052전남 3052허은문3호 태양광발전소전라남도 구례군 문척면 토금2길 20-6전라남도 구례군 문척면 금정리 523번지전라남도 구례군 문척면 토금2길 20-6<NA>개인안복규사업개시태양광98.8380602014-03-26<NA><NA>2015-09-112014-03-262017-03-252015-02-27
33342014-4870000-38-5-03051전남 3051허은문1호 태양광발전소전라남도 구례군 문척면 토금2길 33-22전라남도 구례군 문척면 금정리 511번지전라남도 구례군 문척면 토금2길 33-22<NA>개인안복규사업개시태양광99.0380602014-03-26<NA><NA>2015-09-112014-03-262017-03-252015-02-27
34352014-4870000-38-5-00416전남 3052하은문3호 태양광발전소전라북도 익산시 선화로10길 17(모현동1가, 익산e편한세상)전라북도 익산시 모현동1가 954 익산e편한세상전라남도 구례군 문척면 토금2길 20-6<NA>개인김혜선사업개시태양광99.0380602014-04-30사업개시 누락(도시경제과-14172(2015.2.27))전라남도 구례군 문천면 토금2길 20-62021-11-112014-03-262017-03-252015-02-27
35362014-4870000-38-5-00415전남 3051하은문1호 태양광발전소전라북도 익산시 선화로10길 17 (모현동1가, 익산e편한세상)전라북도 익산시 모현동1가 954 익산e편한세상 107동 2005호전라남도 구례군 문척면 토금2길 33-22<NA>개인김혜선사업개시태양광99.0380602014-04-30사업개시 누락(도시경제과-14172(2015.2.27))전라남도 구례군 문척면 토금2길 33-222021-11-112014-03-262017-03-252015-02-27
36372014-4870000-38-5-00004구례 4경재2호 태양광발전소<NA>전라남도 구례군 마산면 냉천리 887번지 1호전라남도 구례군 마산면 냉천리 887번지 1호<NA>개인장경재사업개시태양광99.11380602014-08-18<NA><NA>2015-09-112014-08-182017-08-172016-06-02
37382013-4870000-38-5-01886전남 1886지리산 산동발전소전라남도 구례군 산동면 지리산온천로 210-28전라남도 구례군 산동면 탑정리 442번지 1호전라남도 구례군 산동면 지리산온천로 210-28<NA>개인박종선사업개시태양광97.12380602013-04-18<NA><NA>2015-09-112013-04-182016-04-172014-02-24
38392013-4870000-38-5-01534전남 1534더케이지리산가족호텔 태양광발전소전라남도 구례군 산동면 지리산온천로 317전라남도 구례군 산동면 대평리 729번지전라남도 구례군 산동면 지리산온천로 317061-780-7119법인강준식사업개시태양광97.2380602013-04-18<NA>구례군 산동면 대평리 729번지2015-09-112013-04-182016-04-172013-08-15
39402013-4870000-38-5-01515전남 1515봉성새마을금고 태양광발전소전라남도 구례군 구례읍 상설시장길 20전라남도 구례군 구례읍 봉동리 388번지 6호전라남도 구례군 구례읍 상설시장길 20061-780-3180법인이경환사업개시태양광20.0380602013-03-15<NA><NA>2015-09-112013-03-152016-03-142014-01-29