Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory55.5 B

Variable types

Numeric2
DateTime2
Text2

Dataset

Description속초시 관내 태양광 설치 현황 리스트입니다. 업체명,허가일자, 설비용량, 설치장소, 사업개시일 정보가 포함되어 있습니다.
Author강원도 속초시
URLhttps://www.data.go.kr/data/15033947/fileData.do

Alerts

연번 has unique valuesUnique
사업자 및 발전소명 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:25:44.296629
Analysis finished2023-12-12 19:25:45.139147
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:25:45.213288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-13T04:25:45.384706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

허가일자
Date

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2006-12-20 00:00:00
Maximum2018-05-29 00:00:00
2023-12-13T04:25:45.522354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:45.666294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

사업자 및 발전소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T04:25:45.903866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length10.208333
Min length2

Characters and Unicode

Total characters245
Distinct characters70
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row속초태양광발전소 2차
2nd row속초태양광 3차
3rd row한양골발전소
4th row예사랑 태양광발전소
5th row이마트(속초 태양광발전소)
ValueCountFrequency (%)
태양광발전소 10
21.7%
속초 6
 
13.0%
㈜강원학교태양광 4
 
8.7%
청해태양광발전소 1
 
2.2%
세정태양광발전소 1
 
2.2%
부찬 1
 
2.2%
기형 1
 
2.2%
르네상스 1
 
2.2%
정산 1
 
2.2%
청호초 1
 
2.2%
Other values (19) 19
41.3%
2023-12-13T04:25:46.347486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
9.0%
양 19
 
7.8%
태 18
 
7.3%
광 18
 
7.3%
초 15
 
6.1%
발 14
 
5.7%
전 14
 
5.7%
소 14
 
5.7%
속 13
 
5.3%
) 6
 
2.4%
Other values (60) 92
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203
82.9%
Space Separator 22
 
9.0%
Close Punctuation 6
 
2.4%
Open Punctuation 6
 
2.4%
Other Symbol 4
 
1.6%
Decimal Number 2
 
0.8%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 19
 
9.4%
태 18
 
8.9%
광 18
 
8.9%
초 15
 
7.4%
발 14
 
6.9%
전 14
 
6.9%
소 14
 
6.9%
속 13
 
6.4%
교 4
 
2.0%
학 4
 
2.0%
Other values (52) 70
34.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
84.5%
Common 36
 
14.7%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 19
 
9.2%
태 18
 
8.7%
광 18
 
8.7%
초 15
 
7.2%
발 14
 
6.8%
전 14
 
6.8%
소 14
 
6.8%
속 13
 
6.3%
교 4
 
1.9%
학 4
 
1.9%
Other values (53) 74
35.7%
Common
ValueCountFrequency (%)
22
61.1%
) 6
 
16.7%
( 6
 
16.7%
2 1
 
2.8%
3 1
 
2.8%
Latin
ValueCountFrequency (%)
D 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203
82.9%
ASCII 38
 
15.5%
None 4
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
57.9%
) 6
 
15.8%
( 6
 
15.8%
2 1
 
2.6%
D 1
 
2.6%
S 1
 
2.6%
3 1
 
2.6%
Hangul
ValueCountFrequency (%)
양 19
 
9.4%
태 18
 
8.9%
광 18
 
8.9%
초 15
 
7.4%
발 14
 
6.9%
전 14
 
6.9%
소 14
 
6.9%
속 13
 
6.4%
교 4
 
2.0%
학 4
 
2.0%
Other values (52) 70
34.5%
None
ValueCountFrequency (%)
㈜ 4
100.0%

설비용량(KW)
Real number (ℝ)

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.458333
Minimum10
Maximum238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T04:25:46.511805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q166
median99
Q3110.5
95-th percentile201.7
Maximum238
Range228
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation62.842785
Coefficient of variation (CV)0.63185037
Kurtosis-0.20064322
Mean99.458333
Median Absolute Deviation (MAD)35.5
Skewness0.51487467
Sum2387
Variance3949.2156
MonotonicityNot monotonic
2023-12-13T04:25:46.643747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
99 5
20.8%
10 3
12.5%
100 3
12.5%
30 2
 
8.3%
73 1
 
4.2%
200 1
 
4.2%
202 1
 
4.2%
79 1
 
4.2%
142 1
 
4.2%
175 1
 
4.2%
Other values (5) 5
20.8%
ValueCountFrequency (%)
10 3
12.5%
30 2
 
8.3%
51 1
 
4.2%
71 1
 
4.2%
73 1
 
4.2%
79 1
 
4.2%
97 1
 
4.2%
99 5
20.8%
100 3
12.5%
142 1
 
4.2%
ValueCountFrequency (%)
238 1
 
4.2%
202 1
 
4.2%
200 1
 
4.2%
175 1
 
4.2%
174 1
 
4.2%
142 1
 
4.2%
100 3
12.5%
99 5
20.8%
97 1
 
4.2%
79 1
 
4.2%

설치장소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T04:25:46.881658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length21.416667
Min length11

Characters and Unicode

Total characters514
Distinct characters73
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

Unique24 ?
Unique (%)100.0%

Sample

1st row강원도 속초시 청대마을1길 15 (조양동)
2nd row강원도 속초시 청대마을1길 13 (조양동)
3rd row강원도 속초시 조양로10번길 38 (조양동)
4th row강원도 속초시 바람꽃마을길 51-6 (노학동)
5th row강원도 속초시 설악금강대교로 12 (청호동)
ValueCountFrequency (%)
속초시 24
22.4%
강원도 18
 
16.8%
노학동 5
 
4.7%
조양동 3
 
2.8%
동명동 3
 
2.8%
설악금강대교로 2
 
1.9%
청대마을1길 2
 
1.9%
대포동 2
 
1.9%
청호동 2
 
1.9%
1003 1
 
0.9%
Other values (45) 45
42.1%
2023-12-13T04:25:47.286060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
16.1%
1 28
 
5.4%
속 24
 
4.7%
초 24
 
4.7%
시 24
 
4.7%
동 24
 
4.7%
강 20
 
3.9%
도 19
 
3.7%
원 18
 
3.5%
( 15
 
2.9%
Other values (63) 235
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
55.8%
Decimal Number 101
 
19.6%
Space Separator 83
 
16.1%
Open Punctuation 15
 
2.9%
Close Punctuation 15
 
2.9%
Dash Punctuation 10
 
1.9%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
속 24
 
8.4%
초 24
 
8.4%
시 24
 
8.4%
동 24
 
8.4%
강 20
 
7.0%
도 19
 
6.6%
원 18
 
6.3%
로 12
 
4.2%
대 9
 
3.1%
길 8
 
2.8%
Other values (48) 105
36.6%
Decimal Number
ValueCountFrequency (%)
1 28
27.7%
0 15
14.9%
2 11
 
10.9%
7 10
 
9.9%
6 8
 
7.9%
5 7
 
6.9%
9 6
 
5.9%
3 6
 
5.9%
4 5
 
5.0%
8 5
 
5.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
55.8%
Common 227
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
속 24
 
8.4%
초 24
 
8.4%
시 24
 
8.4%
동 24
 
8.4%
강 20
 
7.0%
도 19
 
6.6%
원 18
 
6.3%
로 12
 
4.2%
대 9
 
3.1%
길 8
 
2.8%
Other values (48) 105
36.6%
Common
ValueCountFrequency (%)
83
36.6%
1 28
 
12.3%
( 15
 
6.6%
0 15
 
6.6%
) 15
 
6.6%
2 11
 
4.8%
7 10
 
4.4%
- 10
 
4.4%
6 8
 
3.5%
5 7
 
3.1%
Other values (5) 25
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
55.8%
ASCII 227
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
36.6%
1 28
 
12.3%
( 15
 
6.6%
0 15
 
6.6%
) 15
 
6.6%
2 11
 
4.8%
7 10
 
4.4%
- 10
 
4.4%
6 8
 
3.5%
5 7
 
3.1%
Other values (5) 25
 
11.0%
Hangul
ValueCountFrequency (%)
속 24
 
8.4%
초 24
 
8.4%
시 24
 
8.4%
동 24
 
8.4%
강 20
 
7.0%
도 19
 
6.6%
원 18
 
6.3%
로 12
 
4.2%
대 9
 
3.1%
길 8
 
2.8%
Other values (48) 105
36.6%

사업개시일
Date

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2007-12-01 00:00:00
Maximum2018-09-17 00:00:00
2023-12-13T04:25:47.451627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:47.630218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

Interactions

2023-12-13T04:25:44.759974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:44.585518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:44.845687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:44.674882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:25:47.752923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허가일자사업자 및 발전소명설비용량(KW)설치장소사업개시일
연번1.0000.8691.0000.7561.0001.000
허가일자0.8691.0001.0000.8341.0000.968
사업자 및 발전소명1.0001.0001.0001.0001.0001.000
설비용량(KW)0.7560.8341.0001.0001.0001.000
설치장소1.0001.0001.0001.0001.0001.000
사업개시일1.0000.9681.0001.0001.0001.000
2023-12-13T04:25:47.899824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설비용량(KW)
연번1.0000.474
설비용량(KW)0.4741.000

Missing values

2023-12-13T04:25:44.965757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:25:45.092827image/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

연번허가일자사업자 및 발전소명설비용량(KW)설치장소사업개시일
012006-12-20속초태양광발전소 2차10강원도 속초시 청대마을1길 15 (조양동)2007-12-01
122007-03-12속초태양광 3차10강원도 속초시 청대마을1길 13 (조양동)2007-12-01
232012-05-17한양골발전소30강원도 속초시 조양로10번길 38 (조양동)2012-08-07
342012-07-24예사랑 태양광발전소30강원도 속초시 바람꽃마을길 51-6 (노학동)2015-06-05
452012-08-20이마트(속초 태양광발전소)73강원도 속초시 설악금강대교로 12 (청호동)2014-05-27
562012-12-06더케이호텔앤리조트(주)200강원도 속초시 설악산로 470-7, 1동 (도문동,설악교육문화회관)2013-08-14
672013-08-24속초하수처리장 태양광발전소202강원도 속초시 해오름로 99 (대포동)2014-07-01
782013-09-23은빛 태양광발전소99강원도 속초시 번영로 150 (동명동)2013-11-13
892013-12-04햇빛모아 태양광발전소10강원도 속초시 번영로129번길 29-15 (동명동)2014-04-04
9102014-09-04동명99강원도 속초시 영금정로 50 (동명동)2014-12-19
연번허가일자사업자 및 발전소명설비용량(KW)설치장소사업개시일
14152014-09-30㈜강원학교태양광 (속초 설악고)175강원도 속초시 청대로 2192017-01-19
15162015-05-06윤진99강원도 속초시 노학동 1000번지 113호 1002-18, 10032015-08-24
16172015-10-05속초 청호초 태양광발전소100강원도 속초시 청호로 60(건물상부)2016-08-10
17182015-11-16정산 태양광발전소71강원도 속초시 노학동 746-1822016-05-18
18192015-12-14르네상스 속초 태양광발전소51강원도 속초시 교동 668-8(건물상부)2016-03-25
19202016-06-28기형 태양광발전소100속초시 노학동 1073-27외 1필지2017-03-15
20212016-06-28부찬 태양광발전소100속초시 노학동 1073-272017-03-15
21222018-02-05세정태양광발전소238속초시 대포동 976-12018-05-25
22232018-04-18청해태양광발전소97속초시 농공단지 2길 15-51(대포동)2018-06-01
23242018-05-29DS에너지174속초시 동해대로 4024(조양동)2018-09-17