Overview

Dataset statistics

Number of variables6
Number of observations189
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory50.7 B

Variable types

Numeric2
Text2
DateTime2

Dataset

Description태양광발전 시설 현황(발전소명, 설비용량, 발전소주소, 최초허가일, 사업개시일)에 대한 정보를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=433&beforeMenuCd=DOM_000000201001001000&publicdatapk=15033988

Alerts

구분 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:50:49.814501
Analysis finished2024-01-09 20:50:50.777920
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95
Minimum1
Maximum189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T05:50:50.837334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.4
Q148
median95
Q3142
95-th percentile179.6
Maximum189
Range188
Interquartile range (IQR)94

Descriptive statistics

Standard deviation54.703748
Coefficient of variation (CV)0.57582892
Kurtosis-1.2
Mean95
Median Absolute Deviation (MAD)47
Skewness0
Sum17955
Variance2992.5
MonotonicityStrictly increasing
2024-01-10T05:50:50.952510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
131 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
Other values (179) 179
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
Distinct188
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T05:50:51.145746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.7195767
Min length2

Characters and Unicode

Total characters1648
Distinct characters198
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

Unique187 ?
Unique (%)98.9%

Sample

1st rowLG태안태양광
2nd row㈜포에버
3rd row일산 1호
4th row일산 2호
5th row태안솔라팜
ValueCountFrequency (%)
태양광발전소 38
 
16.5%
대성태양광발전소 2
 
0.9%
일산 2
 
0.9%
포지리1호태양광발전소 1
 
0.4%
용신9호 1
 
0.4%
포지리2호태양광발전소 1
 
0.4%
대웅에너지태양광발전소 1
 
0.4%
남면1호태양광발전소 1
 
0.4%
남면2호태양광발전소 1
 
0.4%
남면3호태양광발전소 1
 
0.4%
Other values (181) 181
78.7%
2024-01-10T05:50:51.468321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
8.5%
131
 
7.9%
128
 
7.8%
123
 
7.5%
118
 
7.2%
116
 
7.0%
65
 
3.9%
53
 
3.2%
40
 
2.4%
37
 
2.2%
Other values (188) 697
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1419
86.1%
Decimal Number 88
 
5.3%
Space Separator 53
 
3.2%
Other Symbol 40
 
2.4%
Close Punctuation 22
 
1.3%
Open Punctuation 22
 
1.3%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
140
 
9.9%
131
 
9.2%
128
 
9.0%
123
 
8.7%
118
 
8.3%
116
 
8.2%
65
 
4.6%
37
 
2.6%
34
 
2.4%
32
 
2.3%
Other values (170) 495
34.9%
Decimal Number
ValueCountFrequency (%)
1 27
30.7%
2 22
25.0%
3 10
 
11.4%
4 5
 
5.7%
6 5
 
5.7%
7 5
 
5.7%
9 5
 
5.7%
5 4
 
4.5%
8 3
 
3.4%
0 2
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
S 1
25.0%
F 1
25.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Other Symbol
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1459
88.5%
Common 185
 
11.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
140
 
9.6%
131
 
9.0%
128
 
8.8%
123
 
8.4%
118
 
8.1%
116
 
8.0%
65
 
4.5%
40
 
2.7%
37
 
2.5%
34
 
2.3%
Other values (171) 527
36.1%
Common
ValueCountFrequency (%)
53
28.6%
1 27
14.6%
2 22
11.9%
) 22
11.9%
( 22
11.9%
3 10
 
5.4%
4 5
 
2.7%
6 5
 
2.7%
7 5
 
2.7%
9 5
 
2.7%
Other values (3) 9
 
4.9%
Latin
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
S 1
25.0%
F 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1419
86.1%
ASCII 189
 
11.5%
None 40
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
140
 
9.9%
131
 
9.2%
128
 
9.0%
123
 
8.7%
118
 
8.3%
116
 
8.2%
65
 
4.6%
37
 
2.6%
34
 
2.4%
32
 
2.3%
Other values (170) 495
34.9%
ASCII
ValueCountFrequency (%)
53
28.0%
1 27
14.3%
2 22
11.6%
) 22
11.6%
( 22
11.6%
3 10
 
5.3%
4 5
 
2.6%
6 5
 
2.6%
7 5
 
2.6%
9 5
 
2.6%
Other values (7) 13
 
6.9%
None
ValueCountFrequency (%)
40
100.0%

설비용량(kw)
Real number (ℝ)

Distinct86
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean581.68683
Minimum9.6
Maximum14000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T05:50:51.591336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.6
5-th percentile25
Q199
median99.2
Q3555.5
95-th percentile2053.26
Maximum14000
Range13990.4
Interquartile range (IQR)456.5

Descriptive statistics

Standard deviation1228.1644
Coefficient of variation (CV)2.1113842
Kurtosis75.772688
Mean581.68683
Median Absolute Deviation (MAD)29.76
Skewness7.3216045
Sum109938.81
Variance1508387.7
MonotonicityNot monotonic
2024-01-10T05:50:51.953054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 43
22.8%
99.2 13
 
6.9%
99.11 12
 
6.3%
25.0 7
 
3.7%
1500.0 4
 
2.1%
2005.0 4
 
2.1%
97.0 4
 
2.1%
99.75 4
 
2.1%
999.0 3
 
1.6%
2004.0 3
 
1.6%
Other values (76) 92
48.7%
ValueCountFrequency (%)
9.599999999999998 1
 
0.5%
10.0 1
 
0.5%
13.5 1
 
0.5%
19.8 1
 
0.5%
20.0 1
 
0.5%
23.0 1
 
0.5%
24.8 1
 
0.5%
25.0 7
3.7%
25.125 1
 
0.5%
30.0 1
 
0.5%
ValueCountFrequency (%)
14000.0 1
 
0.5%
3048.0 1
 
0.5%
2997.0 3
1.6%
2473.2 1
 
0.5%
2200.0 1
 
0.5%
2100.0 1
 
0.5%
2086.92 1
 
0.5%
2075.7 1
 
0.5%
2019.6 1
 
0.5%
2010.0 1
 
0.5%
Distinct182
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T05:50:52.191814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length21.417989
Min length13

Characters and Unicode

Total characters4048
Distinct characters88
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

Unique177 ?
Unique (%)93.7%

Sample

1st row태안군 원북면 이원방조제 일원
2nd row태안군 안면읍 중장리 425-60,425-375
3rd row태안군 소원면 신덕리 산197
4th row태안군 소원면 신덕리 170-9
5th row태안군 소원면 소근리 산29-1
ValueCountFrequency (%)
태안군 188
25.6%
안면읍 64
 
8.7%
소원면 31
 
4.2%
근흥면 27
 
3.7%
태안읍 21
 
2.9%
원북면 20
 
2.7%
정당리 19
 
2.6%
용신리 15
 
2.0%
이원면 15
 
2.0%
중장리 12
 
1.6%
Other values (236) 323
43.9%
2024-01-10T05:50:52.544414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
549
 
13.6%
273
 
6.7%
1 266
 
6.6%
209
 
5.2%
189
 
4.7%
188
 
4.6%
- 183
 
4.5%
168
 
4.2%
2 163
 
4.0%
129
 
3.2%
Other values (78) 1731
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2015
49.8%
Decimal Number 1056
26.1%
Space Separator 549
 
13.6%
Dash Punctuation 183
 
4.5%
Open Punctuation 108
 
2.7%
Close Punctuation 108
 
2.7%
Other Punctuation 29
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
273
13.5%
209
 
10.4%
189
 
9.4%
188
 
9.3%
168
 
8.3%
129
 
6.4%
119
 
5.9%
85
 
4.2%
68
 
3.4%
34
 
1.7%
Other values (62) 553
27.4%
Decimal Number
ValueCountFrequency (%)
1 266
25.2%
2 163
15.4%
4 127
12.0%
3 96
 
9.1%
5 77
 
7.3%
9 75
 
7.1%
6 73
 
6.9%
0 68
 
6.4%
8 59
 
5.6%
7 52
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 28
96.6%
. 1
 
3.4%
Space Separator
ValueCountFrequency (%)
549
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2033
50.2%
Hangul 2015
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
273
13.5%
209
 
10.4%
189
 
9.4%
188
 
9.3%
168
 
8.3%
129
 
6.4%
119
 
5.9%
85
 
4.2%
68
 
3.4%
34
 
1.7%
Other values (62) 553
27.4%
Common
ValueCountFrequency (%)
549
27.0%
1 266
13.1%
- 183
 
9.0%
2 163
 
8.0%
4 127
 
6.2%
( 108
 
5.3%
) 108
 
5.3%
3 96
 
4.7%
5 77
 
3.8%
9 75
 
3.7%
Other values (6) 281
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2033
50.2%
Hangul 2015
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
549
27.0%
1 266
13.1%
- 183
 
9.0%
2 163
 
8.0%
4 127
 
6.2%
( 108
 
5.3%
) 108
 
5.3%
3 96
 
4.7%
5 77
 
3.8%
9 75
 
3.7%
Other values (6) 281
13.8%
Hangul
ValueCountFrequency (%)
273
13.5%
209
 
10.4%
189
 
9.4%
188
 
9.3%
168
 
8.3%
129
 
6.4%
119
 
5.9%
85
 
4.2%
68
 
3.4%
34
 
1.7%
Other values (62) 553
27.4%
Distinct81
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2005-05-04 00:00:00
Maximum2018-06-04 00:00:00
2024-01-10T05:50:52.672091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:50:52.784668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct100
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2005-08-18 00:00:00
Maximum2018-09-21 00:00:00
2024-01-10T05:50:52.897221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:50:53.008621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T05:50:50.485397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:50:50.339099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/