Overview

Dataset statistics

Number of variables8
Number of observations458
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.2 KiB
Average record size in memory65.3 B

Variable types

Text2
Numeric1
DateTime3
Categorical2

Dataset

Description2023년 4월 22일 기준, 경상남도 산청군 태양광발전허가정보입니다. (상호, 설치장소, 설비용량(kW), 허가일자, 사업개시일자 순 제공)
Author경상남도 산청군
URLhttps://www.data.go.kr/data/15042031/fileData.do

Alerts

담당기관 has constant value ""Constant
담당부서 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-04-29 22:29:30.895214
Analysis finished2024-04-29 22:29:31.851183
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct452
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-30T07:29:32.063710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length9.5305677
Min length2

Characters and Unicode

Total characters4365
Distinct characters272
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

Unique446 ?
Unique (%)97.4%

Sample

1st row김년월 태양광발전소
2nd row무결4 태양광발전소
3rd row무결3 태양광발전소
4th row무결2 태양광발전소
5th row무결1 태양광발전소
ValueCountFrequency (%)
태양광발전소 102
 
17.3%
주식회사 9
 
1.5%
태양광 5
 
0.8%
소남태양광발전소 3
 
0.5%
화계리 3
 
0.5%
행복배가태양광발전소 2
 
0.3%
발전소 2
 
0.3%
산청태양광발전소 2
 
0.3%
관정태양광발전소 2
 
0.3%
왕산태양광발전소 2
 
0.3%
Other values (451) 458
77.6%
2024-04-30T07:29:32.447246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 431
 
9.9%
소 431
 
9.9%
양 426
 
9.8%
발 423
 
9.7%
태 419
 
9.6%
광 417
 
9.6%
133
 
3.0%
호 123
 
2.8%
2 75
 
1.7%
1 70
 
1.6%
Other values (262) 1417
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3972
91.0%
Decimal Number 203
 
4.7%
Space Separator 133
 
3.0%
Close Punctuation 16
 
0.4%
Open Punctuation 16
 
0.4%
Lowercase Letter 15
 
0.3%
Dash Punctuation 9
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 431
 
10.9%
소 431
 
10.9%
양 426
 
10.7%
발 423
 
10.6%
태 419
 
10.5%
광 417
 
10.5%
호 123
 
3.1%
산 61
 
1.5%
청 40
 
1.0%
지 29
 
0.7%
Other values (243) 1172
29.5%
Decimal Number
ValueCountFrequency (%)
2 75
36.9%
1 70
34.5%
3 33
16.3%
5 7
 
3.4%
4 7
 
3.4%
6 5
 
2.5%
0 3
 
1.5%
7 2
 
1.0%
8 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
k 3
20.0%
o 3
20.0%
c 3
20.0%
p 3
20.0%
e 3
20.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3972
91.0%
Common 378
 
8.7%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 431
 
10.9%
소 431
 
10.9%
양 426
 
10.7%
발 423
 
10.6%
태 419
 
10.5%
광 417
 
10.5%
호 123
 
3.1%
산 61
 
1.5%
청 40
 
1.0%
지 29
 
0.7%
Other values (243) 1172
29.5%
Common
ValueCountFrequency (%)
133
35.2%
2 75
19.8%
1 70
18.5%
3 33
 
8.7%
) 16
 
4.2%
( 16
 
4.2%
- 9
 
2.4%
5 7
 
1.9%
4 7
 
1.9%
6 5
 
1.3%
Other values (4) 7
 
1.9%
Latin
ValueCountFrequency (%)
k 3
20.0%
o 3
20.0%
c 3
20.0%
p 3
20.0%
e 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3972
91.0%
ASCII 393
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 431
 
10.9%
소 431
 
10.9%
양 426
 
10.7%
발 423
 
10.6%
태 419
 
10.5%
광 417
 
10.5%
호 123
 
3.1%
산 61
 
1.5%
청 40
 
1.0%
지 29
 
0.7%
Other values (243) 1172
29.5%
ASCII
ValueCountFrequency (%)
133
33.8%
2 75
19.1%
1 70
17.8%
3 33
 
8.4%
) 16
 
4.1%
( 16
 
4.1%
- 9
 
2.3%
5 7
 
1.8%
4 7
 
1.8%
6 5
 
1.3%
Other values (9) 22
 
5.6%

설치장소
Text

Distinct375
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-30T07:29:32.742800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length53
Mean length26.766376
Min length19

Characters and Unicode

Total characters12259
Distinct characters176
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

Unique317 ?
Unique (%)69.2%

Sample

1st row경상남도 산청군 단성면 호암로 1125-1
2nd row경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-30
3rd row경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-30
4th row경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-30
5th row경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-30
ValueCountFrequency (%)
경상남도 458
 
16.7%
산청군 458
 
16.7%
단성면 115
 
4.2%
금서면 85
 
3.1%
산 72
 
2.6%
신안면 61
 
2.2%
산청읍 56
 
2.0%
48
 
1.8%
1호 45
 
1.6%
신등면 40
 
1.5%
Other values (625) 1304
47.6%
2024-04-30T07:29:33.156558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2285
18.6%
산 658
 
5.4%
청 528
 
4.3%
1 511
 
4.2%
경 471
 
3.8%
남 467
 
3.8%
상 461
 
3.8%
도 460
 
3.8%
군 458
 
3.7%
면 402
 
3.3%
Other values (166) 5558
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7005
57.1%
Decimal Number 2520
 
20.6%
Space Separator 2285
 
18.6%
Dash Punctuation 261
 
2.1%
Other Punctuation 176
 
1.4%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 658
 
9.4%
청 528
 
7.5%
경 471
 
6.7%
남 467
 
6.7%
상 461
 
6.6%
도 460
 
6.6%
군 458
 
6.5%
면 402
 
5.7%
리 345
 
4.9%
번 301
 
4.3%
Other values (147) 2454
35.0%
Decimal Number
ValueCountFrequency (%)
1 511
20.3%
2 325
12.9%
3 238
9.4%
4 237
9.4%
5 224
8.9%
8 220
8.7%
6 198
 
7.9%
0 196
 
7.8%
7 188
 
7.5%
9 183
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
50.0%
D 1
25.0%
J 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 175
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7005
57.1%
Common 5250
42.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 658
 
9.4%
청 528
 
7.5%
경 471
 
6.7%
남 467
 
6.7%
상 461
 
6.6%
도 460
 
6.6%
군 458
 
6.5%
면 402
 
5.7%
리 345
 
4.9%
번 301
 
4.3%
Other values (147) 2454
35.0%
Common
ValueCountFrequency (%)
2285
43.5%
1 511
 
9.7%
2 325
 
6.2%
- 261
 
5.0%
3 238
 
4.5%
4 237
 
4.5%
5 224
 
4.3%
8 220
 
4.2%
6 198
 
3.8%
0 196
 
3.7%
Other values (6) 555
 
10.6%
Latin
ValueCountFrequency (%)
E 2
50.0%
D 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7005
57.1%
ASCII 5254
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2285
43.5%
1 511
 
9.7%
2 325
 
6.2%
- 261
 
5.0%
3 238
 
4.5%
4 237
 
4.5%
5 224
 
4.3%
8 220
 
4.2%
6 198
 
3.8%
0 196
 
3.7%
Other values (9) 559
 
10.6%
Hangul
ValueCountFrequency (%)
산 658
 
9.4%
청 528
 
7.5%
경 471
 
6.7%
남 467
 
6.7%
상 461
 
6.6%
도 460
 
6.6%
군 458
 
6.5%
면 402
 
5.7%
리 345
 
4.9%
번 301
 
4.3%
Other values (147) 2454
35.0%

설비용량
Real number (ℝ)

Distinct263
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.909
Minimum8.1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-30T07:29:33.308439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.1
5-th percentile13.993
Q145.055
median97.92
Q399.96
95-th percentile992
Maximum1000
Range991.9
Interquartile range (IQR)54.905

Descriptive statistics

Standard deviation251.52821
Coefficient of variation (CV)1.5160613
Kurtosis5.8169495
Mean165.909
Median Absolute Deviation (MAD)47.92
Skewness2.6428181
Sum75986.32
Variance63266.441
MonotonicityNot monotonic
2024-04-30T07:29:33.430025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 27
 
5.9%
99.96 21
 
4.6%
97.2 15
 
3.3%
99.84 14
 
3.1%
99.9 10
 
2.2%
10.0 7
 
1.5%
97.92 7
 
1.5%
99.2 6
 
1.3%
992.0 6
 
1.3%
98.8 5
 
1.1%
Other values (253) 340
74.2%
ValueCountFrequency (%)
8.1 1
 
0.2%
9.0 2
 
0.4%
10.0 7
1.5%
10.08 2
 
0.4%
10.44 1
 
0.2%
11.03 1
 
0.2%
12.0 1
 
0.2%
12.24 1
 
0.2%
12.5 1
 
0.2%
12.96 1
 
0.2%
ValueCountFrequency (%)
1000.0 3
0.7%
999.96 1
 
0.2%
999.85 1
 
0.2%
999.75 1
 
0.2%
997.92 2
0.4%
997.56 3
0.7%
997.15 1
 
0.2%
996.96 3
0.7%
996.84 1
 
0.2%
996.48 1
 
0.2%

허가일자
Date

Distinct273
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2006-08-21 00:00:00
Maximum2023-11-05 00:00:00
2024-04-30T07:29:33.555027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:29:33.681558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업개시
Date

Distinct319
Distinct (%)70.1%
Missing3
Missing (%)0.7%
Memory size3.7 KiB
Minimum2008-05-30 00:00:00
Maximum2024-04-08 00:00:00
2024-04-30T07:29:33.795915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:29:33.908288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

담당기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
경상남도 산청군
458 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 산청군
2nd row경상남도 산청군
3rd row경상남도 산청군
4th row경상남도 산청군
5th row경상남도 산청군

Common Values

ValueCountFrequency (%)
경상남도 산청군 458
100.0%

Length

2024-04-30T07:29:34.011986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:29:34.083699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 458
50.0%
산청군 458
50.0%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
경제교통과
458 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경제교통과 458
100.0%

Length

2024-04-30T07:29:34.172593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:29:34.256352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경제교통과 458
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2024-04-22 00:00:00
Maximum2024-04-22 00:00:00
2024-04-30T07:29:34.328198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:29:34.421585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-30T07:29:31.563221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-30T07:29:31.686601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:29:31.799999image/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

상호설치장소설비용량허가일자사업개시담당기관담당부서데이터기준일자
0김년월 태양광발전소경상남도 산청군 단성면 호암로 1125-130.02023-11-052024-03-14경상남도 산청군경제교통과2024-04-22
1무결4 태양광발전소경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-3070.22023-10-252024-03-27경상남도 산청군경제교통과2024-04-22
2무결3 태양광발전소경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-3097.22023-10-252024-03-27경상남도 산청군경제교통과2024-04-22
3무결2 태양광발전소경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-3097.22023-10-252024-03-27경상남도 산청군경제교통과2024-04-22
4무결1 태양광발전소경상남도 산청군 금서면 평촌리 196 , 204-6, 산67-3097.22023-10-252024-03-27경상남도 산청군경제교통과2024-04-22
5김정순 태양광발전소경상남도 산청군 생초면 평촌리 509-11 , 51126.622023-09-182024-02-14경상남도 산청군경제교통과2024-04-22
6석산태양광3호발전소경상남도 산청군 금서면 친환경로2346번길 2419.72023-08-172024-04-01경상남도 산청군경제교통과2024-04-22
7상호 태양광발전소경상남도 산청군 생초면 새실로 623-1182.82023-08-032024-01-17경상남도 산청군경제교통과2024-04-22
8주상동 태양광발전소경상남도 산청군 금서면 화계오봉로46번길 36-419.642023-08-032023-12-29경상남도 산청군경제교통과2024-04-22
9산음누에마을신재생에너지경상남도 산청군 금서면 동의보감로724번길 1610.02023-08-032023-10-16경상남도 산청군경제교통과2024-04-22
상호설치장소설비용량허가일자사업개시담당기관담당부서데이터기준일자
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