Overview

Dataset statistics

Number of variables28
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory252.1 B

Variable types

Categorical20
DateTime1
Numeric7

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=27449c80-20ff-11ec-a070-ab81432fd4e1

Alerts

태양광발전소ID has constant value ""Constant
행정동코드 has constant value ""Constant
법정동코드 has constant value ""Constant
도로명코드 has constant value ""Constant
도로명 has constant value ""Constant
도로명주소 has constant value ""Constant
신우편번호 has constant value ""Constant
지번주소 has constant value ""Constant
베셀TM_X좌표 has constant value ""Constant
베셀TM_Y좌표 has constant value ""Constant
WGS84경위도X좌표 has constant value ""Constant
WGS84경위도Y좌표 has constant value ""Constant
기상관측소ID has constant value ""Constant
거리 has constant value ""Constant
기상관측소명 has constant value ""Constant
기상관측소위도 has constant value ""Constant
기상관측소경도 has constant value ""Constant
1시간단위최대일사량시각 has constant value ""Constant
기상측정관측일자 has unique valuesUnique
합계일조시간 has 3 (11.5%) zerosZeros

Reproduction

Analysis started2023-12-10 13:40:14.911408
Analysis finished2023-12-10 13:40:15.148323
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

태양광발전소ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 26
100.0%

Length

2023-12-10T22:40:15.223212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:15.301176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
100.0%

행정동코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
26110600
26 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26110600
2nd row26110600
3rd row26110600
4th row26110600
5th row26110600

Common Values

ValueCountFrequency (%)
26110600 26
100.0%

Length

2023-12-10T22:40:15.384713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:15.464339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26110600 26
100.0%

법정동코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2611010100
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2611010100
2nd row2611010100
3rd row2611010100
4th row2611010100
5th row2611010100

Common Values

ValueCountFrequency (%)
2611010100 26
100.0%

Length

2023-12-10T22:40:15.552132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:15.638248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2611010100 26
100.0%

도로명코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
261000000000
26 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row261000000000
2nd row261000000000
3rd row261000000000
4th row261000000000
5th row261000000000

Common Values

ValueCountFrequency (%)
261000000000 26
100.0%

Length

2023-12-10T22:40:15.733502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:15.812146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
261000000000 26
100.0%

도로명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
망양로
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
망양로 26
100.0%

Length

2023-12-10T22:40:15.900800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:15.997975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
망양로 26
100.0%

도로명주소
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
부산 중구 망양로 356
26 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산 중구 망양로 356
2nd row부산 중구 망양로 356
3rd row부산 중구 망양로 356
4th row부산 중구 망양로 356
5th row부산 중구 망양로 356

Common Values

ValueCountFrequency (%)
부산 중구 망양로 356 26
100.0%

Length

2023-12-10T22:40:16.117525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:16.200733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 26
25.0%
중구 26
25.0%
망양로 26
25.0%
356 26
25.0%

신우편번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
48918
26 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48918
2nd row48918
3rd row48918
4th row48918
5th row48918

Common Values

ValueCountFrequency (%)
48918 26
100.0%

Length

2023-12-10T22:40:16.307606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:16.415369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48918 26
100.0%

지번주소
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
부산 중구 영주동446-2번지
26 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산 중구 영주동446-2번지
2nd row부산 중구 영주동446-2번지
3rd row부산 중구 영주동446-2번지
4th row부산 중구 영주동446-2번지
5th row부산 중구 영주동446-2번지

Common Values

ValueCountFrequency (%)
부산 중구 영주동446-2번지 26
100.0%

Length

2023-12-10T22:40:16.516423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:16.618113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 26
33.3%
중구 26
33.3%
영주동446-2번지 26
33.3%

베셀TM_X좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
494292
26 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row494292
2nd row494292
3rd row494292
4th row494292
5th row494292

Common Values

ValueCountFrequency (%)
494292 26
100.0%

Length

2023-12-10T22:40:16.731983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:16.832181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
494292 26
100.0%

베셀TM_Y좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
279390
26 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row279390
2nd row279390
3rd row279390
4th row279390
5th row279390

Common Values

ValueCountFrequency (%)
279390 26
100.0%

Length

2023-12-10T22:40:16.947833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:17.060613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
279390 26
100.0%

WGS84경위도X좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
129.0322
26 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row129.0322
2nd row129.0322
3rd row129.0322
4th row129.0322
5th row129.0322

Common Values

ValueCountFrequency (%)
129.0322 26
100.0%

Length

2023-12-10T22:40:17.174849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:17.275743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
129.0322 26
100.0%

WGS84경위도Y좌표
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
35.1089
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.1089
2nd row35.1089
3rd row35.1089
4th row35.1089
5th row35.1089

Common Values

ValueCountFrequency (%)
35.1089 26
100.0%

Length

2023-12-10T22:40:17.665274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:17.773810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.1089 26
100.0%

기상관측소ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
159
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row159
2nd row159
3rd row159
4th row159
5th row159

Common Values

ValueCountFrequency (%)
159 26
100.0%

Length

2023-12-10T22:40:18.125505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:18.296209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
159 26
100.0%

거리
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
468.58
26 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row468.58
2nd row468.58
3rd row468.58
4th row468.58
5th row468.58

Common Values

ValueCountFrequency (%)
468.58 26
100.0%

Length

2023-12-10T22:40:18.411378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:18.524508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
468.58 26
100.0%

기상관측소명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
부산
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산 26
100.0%

Length

2023-12-10T22:40:18.636218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:18.740318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 26
100.0%

기상관측소위도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
35.1047
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.1047
2nd row35.1047
3rd row35.1047
4th row35.1047
5th row35.1047

Common Values

ValueCountFrequency (%)
35.1047 26
100.0%

Length

2023-12-10T22:40:18.826868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:18.913854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.1047 26
100.0%

기상관측소경도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
129.032
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row129.032
2nd row129.032
3rd row129.032
4th row129.032
5th row129.032

Common Values

ValueCountFrequency (%)
129.032 26
100.0%

Length

2023-12-10T22:40:19.013093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:19.140516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
129.032 26
100.0%

기상측정관측일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2021-01-01 00:00:00
Maximum2021-01-26 00:00:00
2023-12-10T22:40:19.267927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:40:19.456645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

평균기온
Real number (ℝ)

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0961538
Minimum-8.2
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)23.1%
Memory size366.0 B
2023-12-10T22:40:19.597807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-8.2
5-th percentile-6.05
Q10.125
median2.2
Q38.6
95-th percentile10.325
Maximum11.9
Range20.1
Interquartile range (IQR)8.475

Descriptive statistics

Standard deviation5.5647807
Coefficient of variation (CV)1.7973205
Kurtosis-0.7961249
Mean3.0961538
Median Absolute Deviation (MAD)4.2
Skewness-0.22952243
Sum80.5
Variance30.966785
MonotonicityNot monotonic
2023-12-10T22:40:19.723669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.9 2
 
7.7%
3.0 2
 
7.7%
0.2 2
 
7.7%
11.9 1
 
3.8%
7.7 1
 
3.8%
9.3 1
 
3.8%
9.2 1
 
3.8%
10.4 1
 
3.8%
10.1 1
 
3.8%
5.4 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
-8.2 1
3.8%
-6.1 1
3.8%
-5.9 1
3.8%
-2.3 1
3.8%
-1.7 1
3.8%
-0.5 1
3.8%
0.1 1
3.8%
0.2 2
7.7%
0.3 1
3.8%
1.1 1
3.8%
ValueCountFrequency (%)
11.9 1
3.8%
10.4 1
3.8%
10.1 1
3.8%
9.3 1
3.8%
9.2 1
3.8%
8.9 2
7.7%
7.7 1
3.8%
7.1 1
3.8%
5.7 1
3.8%
5.4 1
3.8%

최대순간풍속
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.023077
Minimum4.9
Maximum17.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T22:40:19.870693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile7.1
Q18.95
median11.85
Q314.45
95-th percentile17.525
Maximum17.9
Range13
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.5815424
Coefficient of variation (CV)0.29788901
Kurtosis-0.8193777
Mean12.023077
Median Absolute Deviation (MAD)2.9
Skewness-0.032638782
Sum312.6
Variance12.827446
MonotonicityNot monotonic
2023-12-10T22:40:20.013891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11.8 2
 
7.7%
9.7 1
 
3.8%
12.1 1
 
3.8%
12.3 1
 
3.8%
13.6 1
 
3.8%
16.8 1
 
3.8%
8.1 1
 
3.8%
6.9 1
 
3.8%
4.9 1
 
3.8%
8.0 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
4.9 1
3.8%
6.9 1
3.8%
7.7 1
3.8%
8.0 1
3.8%
8.1 1
3.8%
8.4 1
3.8%
8.7 1
3.8%
9.7 1
3.8%
10.8 1
3.8%
11.0 1
3.8%
ValueCountFrequency (%)
17.9 1
3.8%
17.6 1
3.8%
17.3 1
3.8%
16.8 1
3.8%
15.9 1
3.8%
15.4 1
3.8%
14.5 1
3.8%
14.3 1
3.8%
14.0 1
3.8%
13.6 1
3.8%

최대풍속
Real number (ℝ)

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3923077
Minimum2.9
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T22:40:20.147334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile4.175
Q15.1
median5.8
Q37.675
95-th percentile9.725
Maximum9.9
Range7
Interquartile range (IQR)2.575

Descriptive statistics

Standard deviation1.8787066
Coefficient of variation (CV)0.29390115
Kurtosis-0.48718028
Mean6.3923077
Median Absolute Deviation (MAD)1.05
Skewness0.50086997
Sum166.2
Variance3.5295385
MonotonicityNot monotonic
2023-12-10T22:40:20.275768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5.8 3
 
11.5%
5.6 2
 
7.7%
7.7 2
 
7.7%
5.0 2
 
7.7%
6.3 1
 
3.8%
9.3 1
 
3.8%
7.6 1
 
3.8%
4.5 1
 
3.8%
5.4 1
 
3.8%
2.9 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
2.9 1
 
3.8%
4.1 1
 
3.8%
4.4 1
 
3.8%
4.5 1
 
3.8%
4.9 1
 
3.8%
5.0 2
7.7%
5.4 1
 
3.8%
5.6 2
7.7%
5.7 1
 
3.8%
5.8 3
11.5%
ValueCountFrequency (%)
9.9 1
3.8%
9.8 1
3.8%
9.5 1
3.8%
9.3 1
3.8%
8.8 1
3.8%
7.7 2
7.7%
7.6 1
3.8%
7.0 1
3.8%
6.3 1
3.8%
6.2 1
3.8%

평균풍속
Real number (ℝ)

Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0423077
Minimum0.9
Maximum5.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T22:40:20.398301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1.525
Q12.325
median2.8
Q33.775
95-th percentile4.9
Maximum5.2
Range4.3
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.1013349
Coefficient of variation (CV)0.3620064
Kurtosis-0.39914337
Mean3.0423077
Median Absolute Deviation (MAD)0.55
Skewness0.35677045
Sum79.1
Variance1.2129385
MonotonicityNot monotonic
2023-12-10T22:40:20.567350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.1 3
 
11.5%
2.5 3
 
11.5%
4.9 2
 
7.7%
2.3 2
 
7.7%
2.8 2
 
7.7%
2.6 1
 
3.8%
4.5 1
 
3.8%
3.7 1
 
3.8%
3.8 1
 
3.8%
1.4 1
 
3.8%
Other values (9) 9
34.6%
ValueCountFrequency (%)
0.9 1
 
3.8%
1.4 1
 
3.8%
1.9 1
 
3.8%
2.1 1
 
3.8%
2.2 1
 
3.8%
2.3 2
7.7%
2.4 1
 
3.8%
2.5 3
11.5%
2.6 1
 
3.8%
2.8 2
7.7%
ValueCountFrequency (%)
5.2 1
 
3.8%
4.9 2
7.7%
4.5 1
 
3.8%
4.3 1
 
3.8%
4.1 1
 
3.8%
3.8 1
 
3.8%
3.7 1
 
3.8%
3.2 1
 
3.8%
3.1 3
11.5%
2.8 2
7.7%

가조시간
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
9.9
9 
10.0
5 
10.2
5 
10.1
4 
10.3
3 

Length

Max length4
Median length4
Mean length3.6538462
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9.9
2nd row9.9
3rd row9.9
4th row9.9
5th row9.9

Common Values

ValueCountFrequency (%)
9.9 9
34.6%
10.0 5
19.2%
10.2 5
19.2%
10.1 4
15.4%
10.3 3
 
11.5%

Length

2023-12-10T22:40:20.732780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:20.844422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9.9 9
34.6%
10.0 5
19.2%
10.2 5
19.2%
10.1 4
15.4%
10.3 3
 
11.5%

합계일조시간
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4423077
Minimum0
Maximum9.6
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T22:40:20.954246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.1
median8.35
Q39
95-th percentile9.35
Maximum9.6
Range9.6
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation3.3754612
Coefficient of variation (CV)0.52395219
Kurtosis-0.45272915
Mean6.4423077
Median Absolute Deviation (MAD)0.95
Skewness-1.0022602
Sum167.5
Variance11.393738
MonotonicityNot monotonic
2023-12-10T22:40:21.082249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9.0 3
 
11.5%
0.0 3
 
11.5%
9.1 2
 
7.7%
8.9 2
 
7.7%
5.4 2
 
7.7%
8.8 2
 
7.7%
0.7 1
 
3.8%
6.1 1
 
3.8%
9.6 1
 
3.8%
5.7 1
 
3.8%
Other values (8) 8
30.8%
ValueCountFrequency (%)
0.0 3
11.5%
0.7 1
 
3.8%
1.5 1
 
3.8%
4.2 1
 
3.8%
5.0 1
 
3.8%
5.4 2
7.7%
5.7 1
 
3.8%
6.1 1
 
3.8%
8.0 1
 
3.8%
8.3 1
 
3.8%
ValueCountFrequency (%)
9.6 1
 
3.8%
9.4 1
 
3.8%
9.2 1
 
3.8%
9.1 2
7.7%
9.0 3
11.5%
8.9 2
7.7%
8.8 2
7.7%
8.4 1
 
3.8%
8.3 1
 
3.8%
8.0 1
 
3.8%

1시간단위최대일사량시각
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 26
100.0%

Length

2023-12-10T22:40:21.222613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:21.309618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
100.0%

1시간단위최대일사량
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2
17 
1
6 
0
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 17
65.4%
1 6
 
23.1%
0 3
 
11.5%

Length

2023-12-10T22:40:21.395946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:40:21.486166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 17
65.4%
1 6
 
23.1%
0 3
 
11.5%

합계일사량
Real number (ℝ)

Distinct7
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1538462
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-10T22:40:21.576595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile7.75
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.44446
Coefficient of variation (CV)1.1349278
Kurtosis2.561873
Mean2.1538462
Median Absolute Deviation (MAD)0
Skewness1.9786645
Sum56
Variance5.9753846
MonotonicityNot monotonic
2023-12-10T22:40:21.675161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 20
76.9%
7 1
 
3.8%
6 1
 
3.8%
9 1
 
3.8%
8 1
 
3.8%
4 1
 
3.8%
2 1
 
3.8%
ValueCountFrequency (%)
1 20
76.9%
2 1
 
3.8%
4 1
 
3.8%
6 1
 
3.8%
7 1
 
3.8%
8 1
 
3.8%
9 1
 
3.8%
ValueCountFrequency (%)
9 1
 
3.8%
8 1
 
3.8%
7 1
 
3.8%
6 1
 
3.8%
4 1
 
3.8%
2 1
 
3.8%
1 20
76.9%

평균지면온도
Real number (ℝ)

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6423077
Minimum-1.6
Maximum10
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)7.7%
Memory size366.0 B
2023-12-10T22:40:21.785784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-0.4
Q11.75
median3.9
Q38.025
95-th percentile9.7
Maximum10
Range11.6
Interquartile range (IQR)6.275

Descriptive statistics

Standard deviation3.5847648
Coefficient of variation (CV)0.77219457
Kurtosis-1.3430919
Mean4.6423077
Median Absolute Deviation (MAD)3
Skewness0.062471508
Sum120.7
Variance12.850538
MonotonicityNot monotonic
2023-12-10T22:40:21.917504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.7 2
 
7.7%
3.0 2
 
7.7%
2.1 1
 
3.8%
10.0 1
 
3.8%
7.7 1
 
3.8%
8.3 1
 
3.8%
9.3 1
 
3.8%
7.8 1
 
3.8%
6.9 1
 
3.8%
3.8 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
-1.6 1
3.8%
-0.7 1
3.8%
0.5 1
3.8%
0.9 1
3.8%
1.2 1
3.8%
1.3 1
3.8%
1.7 1
3.8%
1.9 1
3.8%
2.1 1
3.8%
3.0 2
7.7%
ValueCountFrequency (%)
10.0 1
3.8%
9.7 2
7.7%
9.3 1
3.8%
8.6 1
3.8%
8.3 1
3.8%
8.1 1
3.8%
7.8 1
3.8%
7.7 1
3.8%
6.9 1
3.8%
5.8 1
3.8%

Sample

태양광발전소ID행정동코드법정동코드도로명코드도로명도로명주소신우편번호지번주소베셀TM_X좌표베셀TM_Y좌표WGS84경위도X좌표WGS84경위도Y좌표기상관측소ID거리기상관측소명기상관측소위도기상관측소경도기상측정관측일자평균기온최대순간풍속최대풍속평균풍속가조시간합계일조시간1시간단위최대일사량시각1시간단위최대일사량합계일사량평균지면온도
01261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-010.39.76.32.69.98.31212.1
11261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-021.312.15.02.59.98.81213.0
21261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-030.111.25.62.49.95.41211.7
31261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-043.07.75.02.29.99.01114.0
41261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-053.011.94.92.59.94.21173.0
51261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-06-1.715.98.84.39.99.01211.9
61261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-07-6.117.69.94.99.98.01210.5
71261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-08-8.214.37.73.29.99.2121-1.6
81261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-09-5.914.05.73.19.98.8121-0.7
91261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-10-2.311.04.12.310.09.41210.9
태양광발전소ID행정동코드법정동코드도로명코드도로명도로명주소신우편번호지번주소베셀TM_X좌표베셀TM_Y좌표WGS84경위도X좌표WGS84경위도Y좌표기상관측소ID거리기상관측소명기상관측소위도기상관측소경도기상측정관측일자평균기온최대순간풍속최대풍속평균풍속가조시간합계일조시간1시간단위최대일사량시각1시간단위최대일사량합계일사량평균지면온도
161261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-17-0.515.47.73.110.18.91214.5
171261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-181.117.39.54.510.15.71181.2
181261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-190.28.04.42.310.29.61213.8
191261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-205.44.92.90.910.29.11216.9
201261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-218.96.95.41.910.26.11217.8
211261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-2210.18.14.51.410.20.01019.7
221261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-2310.416.87.64.910.20.01019.3
231261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-249.213.65.83.810.30.71148.3
241261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-259.312.35.63.710.35.41219.7
251261106002611010100261000000000망양로부산 중구 망양로 35648918부산 중구 영주동446-2번지494292279390129.032235.1089159468.58부산35.1047129.0322021-01-267.711.85.82.810.30.01027.7