Overview

Dataset statistics

Number of variables6
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory52.8 B

Variable types

Categorical1
Text2
Numeric2
DateTime1

Dataset

Description인천광역시 옹진군 태양광발전설비 현황으로 설치장소명, 발전설비 주소, 발전설비용량, 설치시기의 정보를 제공합니다..
URLhttps://www.data.go.kr/data/15043264/fileData.do

Alerts

기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 14:19:50.756538
Analysis finished2023-12-12 14:19:51.805616
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
인천광역시 옹진군
47 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 옹진군
2nd row인천광역시 옹진군
3rd row인천광역시 옹진군
4th row인천광역시 옹진군
5th row인천광역시 옹진군

Common Values

ValueCountFrequency (%)
인천광역시 옹진군 47
100.0%

Length

2023-12-12T23:19:51.870046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:19:51.958570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 47
50.0%
옹진군 47
50.0%

설치장소명
Text

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T23:19:52.186630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length6.9574468
Min length5

Characters and Unicode

Total characters327
Distinct characters87
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

Unique37 ?
Unique (%)78.7%

Sample

1st row에코홍보관
2nd row진리 신면사무소
3rd row진리 구면사무소
4th row덕적보건지소
5th row진리선착장
ValueCountFrequency (%)
내5리경로당 2
 
3.7%
내4리경로당 2
 
3.7%
영흥면사무소 2
 
3.7%
북도면사무소 2
 
3.7%
내2리경로당 2
 
3.7%
진리 2
 
3.7%
에코홍보관 1
 
1.9%
영흥대교 1
 
1.9%
관리사무소 1
 
1.9%
장봉2리경로당 1
 
1.9%
Other values (38) 38
70.4%
2023-12-12T23:19:52.560693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 28
 
8.6%
당 22
 
6.7%
경 22
 
6.7%
로 22
 
6.7%
소 13
 
4.0%
내 11
 
3.4%
도 10
 
3.1%
9
 
2.8%
장 8
 
2.4%
영 7
 
2.1%
Other values (77) 175
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
90.8%
Decimal Number 21
 
6.4%
Space Separator 9
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 28
 
9.4%
당 22
 
7.4%
경 22
 
7.4%
로 22
 
7.4%
소 13
 
4.4%
내 11
 
3.7%
도 10
 
3.4%
장 8
 
2.7%
영 7
 
2.4%
흥 7
 
2.4%
Other values (69) 147
49.5%
Decimal Number
ValueCountFrequency (%)
2 6
28.6%
1 4
19.0%
3 4
19.0%
4 3
14.3%
5 2
 
9.5%
6 1
 
4.8%
7 1
 
4.8%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
90.8%
Common 30
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 28
 
9.4%
당 22
 
7.4%
경 22
 
7.4%
로 22
 
7.4%
소 13
 
4.4%
내 11
 
3.7%
도 10
 
3.4%
장 8
 
2.7%
영 7
 
2.4%
흥 7
 
2.4%
Other values (69) 147
49.5%
Common
ValueCountFrequency (%)
9
30.0%
2 6
20.0%
1 4
13.3%
3 4
13.3%
4 3
 
10.0%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
90.8%
ASCII 30
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 28
 
9.4%
당 22
 
7.4%
경 22
 
7.4%
로 22
 
7.4%
소 13
 
4.4%
내 11
 
3.7%
도 10
 
3.4%
장 8
 
2.7%
영 7
 
2.4%
흥 7
 
2.4%
Other values (69) 147
49.5%
ASCII
ValueCountFrequency (%)
9
30.0%
2 6
20.0%
1 4
13.3%
3 4
13.3%
4 3
 
10.0%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%

소재지주소
Text

Distinct44
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T23:19:52.815013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length23.106383
Min length19

Characters and Unicode

Total characters1086
Distinct characters41
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

Unique41 ?
Unique (%)87.2%

Sample

1st row인천광역시 옹진군 덕적면 덕적남로589
2nd row인천광역시 옹진군 덕적면 진리169
3rd row인천광역시 옹진군 덕적면 진리149
4th row인천광역시 옹진군 덕적면 덕적남로7-1
5th row인천광역시 옹진군 덕적면 진리86-3
ValueCountFrequency (%)
인천광역시 47
20.5%
옹진군 47
20.5%
영흥면 27
 
11.8%
북도면 12
 
5.2%
덕적면 8
 
3.5%
영흥로 3
 
1.3%
영흥북로 3
 
1.3%
선재로 3
 
1.3%
내리 3
 
1.3%
영흥서로 3
 
1.3%
Other values (66) 73
31.9%
2023-12-12T23:19:53.189763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
16.8%
시 52
 
4.8%
진 51
 
4.7%
인 47
 
4.3%
광 47
 
4.3%
역 47
 
4.3%
옹 47
 
4.3%
군 47
 
4.3%
천 47
 
4.3%
면 47
 
4.3%
Other values (31) 472
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
64.8%
Decimal Number 184
 
16.9%
Space Separator 182
 
16.8%
Dash Punctuation 16
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 52
 
7.4%
진 51
 
7.2%
인 47
 
6.7%
광 47
 
6.7%
역 47
 
6.7%
옹 47
 
6.7%
군 47
 
6.7%
천 47
 
6.7%
면 47
 
6.7%
흥 46
 
6.5%
Other values (19) 226
32.1%
Decimal Number
ValueCountFrequency (%)
1 31
16.8%
5 24
13.0%
6 20
10.9%
2 20
10.9%
4 18
9.8%
3 18
9.8%
8 17
9.2%
9 16
8.7%
7 11
 
6.0%
0 9
 
4.9%
Space Separator
ValueCountFrequency (%)
182
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
64.8%
Common 382
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 52
 
7.4%
진 51
 
7.2%
인 47
 
6.7%
광 47
 
6.7%
역 47
 
6.7%
옹 47
 
6.7%
군 47
 
6.7%
천 47
 
6.7%
면 47
 
6.7%
흥 46
 
6.5%
Other values (19) 226
32.1%
Common
ValueCountFrequency (%)
182
47.6%
1 31
 
8.1%
5 24
 
6.3%
6 20
 
5.2%
2 20
 
5.2%
4 18
 
4.7%
3 18
 
4.7%
8 17
 
4.5%
9 16
 
4.2%
- 16
 
4.2%
Other values (2) 20
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
64.8%
ASCII 382
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
47.6%
1 31
 
8.1%
5 24
 
6.3%
6 20
 
5.2%
2 20
 
5.2%
4 18
 
4.7%
3 18
 
4.7%
8 17
 
4.5%
9 16
 
4.2%
- 16
 
4.2%
Other values (2) 20
 
5.2%
Hangul
ValueCountFrequency (%)
시 52
 
7.4%
진 51
 
7.2%
인 47
 
6.7%
광 47
 
6.7%
역 47
 
6.7%
옹 47
 
6.7%
군 47
 
6.7%
천 47
 
6.7%
면 47
 
6.7%
흥 46
 
6.5%
Other values (19) 226
32.1%

설비용량(kWh)
Real number (ℝ)

Distinct14
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.034043
Minimum3
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T23:19:53.337494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q312.5
95-th percentile37.9
Maximum59
Range56
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation12.805931
Coefficient of variation (CV)1.2762484
Kurtosis5.1008098
Mean10.034043
Median Absolute Deviation (MAD)0
Skewness2.2943328
Sum471.6
Variance163.99186
MonotonicityNot monotonic
2023-12-12T23:19:53.460448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.0 27
57.4%
6.0 5
 
10.6%
15.0 3
 
6.4%
9.0 2
 
4.3%
33.0 1
 
2.1%
46.8 1
 
2.1%
28.8 1
 
2.1%
12.0 1
 
2.1%
40.0 1
 
2.1%
18.0 1
 
2.1%
Other values (4) 4
 
8.5%
ValueCountFrequency (%)
3.0 27
57.4%
6.0 5
 
10.6%
9.0 2
 
4.3%
12.0 1
 
2.1%
13.0 1
 
2.1%
15.0 3
 
6.4%
17.0 1
 
2.1%
18.0 1
 
2.1%
28.8 1
 
2.1%
30.0 1
 
2.1%
ValueCountFrequency (%)
59.0 1
 
2.1%
46.8 1
 
2.1%
40.0 1
 
2.1%
33.0 1
 
2.1%
30.0 1
 
2.1%
28.8 1
 
2.1%
18.0 1
 
2.1%
17.0 1
 
2.1%
15.0 3
6.4%
13.0 1
 
2.1%

설치년도
Real number (ℝ)

Distinct9
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.6383
Minimum2014
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T23:19:53.604673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12016
median2017
Q32020
95-th percentile2022
Maximum2022
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7459498
Coefficient of variation (CV)0.0013609723
Kurtosis-1.0176762
Mean2017.6383
Median Absolute Deviation (MAD)2
Skewness0.43600348
Sum94829
Variance7.5402405
MonotonicityIncreasing
2023-12-12T23:19:53.747819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2017 14
29.8%
2022 9
19.1%
2014 8
17.0%
2016 8
17.0%
2020 4
 
8.5%
2015 1
 
2.1%
2018 1
 
2.1%
2019 1
 
2.1%
2021 1
 
2.1%
ValueCountFrequency (%)
2014 8
17.0%
2015 1
 
2.1%
2016 8
17.0%
2017 14
29.8%
2018 1
 
2.1%
2019 1
 
2.1%
2020 4
 
8.5%
2021 1
 
2.1%
2022 9
19.1%
ValueCountFrequency (%)
2022 9
19.1%
2021 1
 
2.1%
2020 4
 
8.5%
2019 1
 
2.1%
2018 1
 
2.1%
2017 14
29.8%
2016 8
17.0%
2015 1
 
2.1%
2014 8
17.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-08-16 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T23:19:53.855424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:19:53.930809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:19:51.350199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:19:51.146463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:19:51.469414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:19:51.236717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:19:53.991818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치장소명소재지주소설비용량(kWh)설치년도
설치장소명1.0000.9830.9450.872
소재지주소0.9831.0000.0000.978
설비용량(kWh)0.9450.0001.0000.699
설치년도0.8720.9780.6991.000
2023-12-12T23:19:54.070677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비용량(kWh)설치년도
설비용량(kWh)1.0000.039
설치년도0.0391.000

Missing values

2023-12-12T23:19:51.619894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:19:51.756171image/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

기관명설치장소명소재지주소설비용량(kWh)설치년도데이터기준일자
0인천광역시 옹진군에코홍보관인천광역시 옹진군 덕적면 덕적남로58933.020142023-08-16
1인천광역시 옹진군진리 신면사무소인천광역시 옹진군 덕적면 진리16946.820142023-08-16
2인천광역시 옹진군진리 구면사무소인천광역시 옹진군 덕적면 진리14928.820142023-08-16
3인천광역시 옹진군덕적보건지소인천광역시 옹진군 덕적면 덕적남로7-112.020142023-08-16
4인천광역시 옹진군진리선착장인천광역시 옹진군 덕적면 진리86-39.020142023-08-16
5인천광역시 옹진군특산물판매장인천광역시 옹진군 덕적면 진리86-36.020142023-08-16
6인천광역시 옹진군재활용선별장인천광역시 옹진군 덕적면 서포리6156.020142023-08-16
7인천광역시 옹진군서포리 주민센터인천광역시 옹진군 덕적면 덕적남로5893.020142023-08-16
8인천광역시 옹진군영흥늘푸른센터인천광역시 옹진군 영흥면 영흥로 176번길 840.020152023-08-16
9인천광역시 옹진군내4리경로당인천광역시 옹진군 영흥면 내리 272-13.020162023-08-16
기관명설치장소명소재지주소설비용량(kWh)설치년도데이터기준일자
37인천광역시 옹진군공립 북도어린이집인천광역시 옹진군 북도면 시도로86번길 596.020212023-08-16
38인천광역시 옹진군공립영흥어린이집인천광역시 옹진군 영흥면 영흥북로 24613.020222023-08-16
39인천광역시 옹진군내리어촌계어업인복지회관인천광역시 옹진군 영흥면 영흥북로 15417.020222023-08-16
40인천광역시 옹진군영흥보건지소인천광역시 옹진군 영흥면 영흥남로 4496.020222023-08-16
41인천광역시 옹진군선재어촌체험마을인천광역시 옹진군 영흥면 선재로 56.020222023-08-16
42인천광역시 옹진군옹진국민체육센터인천광역시 옹진군 영흥면 영흥로348번길 175-2959.020222023-08-16
43인천광역시 옹진군영흥대교 관리사무소인천광역시 옹진군 영흥면 선재로 35815.020222023-08-16
44인천광역시 옹진군영흥면사무소인천광역시 옹진군 영흥면 영흥로251번길 909.020222023-08-16
45인천광역시 옹진군북도면사무소인천광역시 옹진군 북도면 시도로 8230.020222023-08-16
46인천광역시 옹진군장봉바다역매표소인천광역시 옹진군 북도면 장봉로 773.020222023-08-16