Overview

Dataset statistics

Number of variables5
Number of observations2155
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory86.4 KiB
Average record size in memory41.1 B

Variable types

Categorical1
Text2
Numeric1
DateTime1

Dataset

Description전라남도 영암군 관내에 위치한 태양광발전소 현황 데이터로 명칭, 주소, 용량, 데이터기준일 등에 관한 항목을 제공합니다.
Author전라남도 영암군
URLhttps://www.data.go.kr/data/15059660/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-11 23:31:15.886821
Analysis finished2023-12-11 23:31:16.508046
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
전라남도 영암군청
2155 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 영암군청
2nd row전라남도 영암군청
3rd row전라남도 영암군청
4th row전라남도 영암군청
5th row전라남도 영암군청

Common Values

ValueCountFrequency (%)
전라남도 영암군청 2155
100.0%

Length

2023-12-12T08:31:16.564370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:31:16.648706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 2155
50.0%
영암군청 2155
50.0%

명칭
Text

Distinct1988
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
2023-12-12T08:31:16.952733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length4.262645
Min length1

Characters and Unicode

Total characters9186
Distinct characters401
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1862 ?
Unique (%)86.4%

Sample

1st row서리
2nd row무현
3rd row지은이
4th row신영
5th row신성1호
ValueCountFrequency (%)
2호 52
 
2.2%
1호 35
 
1.5%
태양광발전소 35
 
1.5%
3호 23
 
1.0%
수상 13
 
0.5%
제1 12
 
0.5%
4호 8
 
0.3%
신포리 8
 
0.3%
행복 6
 
0.2%
영암 6
 
0.2%
Other values (1909) 2209
91.8%
2023-12-12T08:31:17.447398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 857
 
9.3%
1 302
 
3.3%
2 293
 
3.2%
259
 
2.8%
지 249
 
2.7%
에 239
 
2.6%
3 164
 
1.8%
이 162
 
1.8%
너 161
 
1.8%
유 159
 
1.7%
Other values (391) 6341
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7433
80.9%
Decimal Number 995
 
10.8%
Space Separator 259
 
2.8%
Close Punctuation 151
 
1.6%
Open Punctuation 151
 
1.6%
Uppercase Letter 98
 
1.1%
Other Symbol 80
 
0.9%
Dash Punctuation 11
 
0.1%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 857
 
11.5%
지 249
 
3.3%
에 239
 
3.2%
이 162
 
2.2%
너 161
 
2.2%
유 159
 
2.1%
영 157
 
2.1%
광 136
 
1.8%
양 124
 
1.7%
태 123
 
1.7%
Other values (350) 5066
68.2%
Uppercase Letter
ValueCountFrequency (%)
S 16
16.3%
J 10
10.2%
K 8
 
8.2%
E 7
 
7.1%
C 6
 
6.1%
H 6
 
6.1%
G 6
 
6.1%
Y 6
 
6.1%
M 5
 
5.1%
P 5
 
5.1%
Other values (10) 23
23.5%
Decimal Number
ValueCountFrequency (%)
1 302
30.4%
2 293
29.4%
3 164
16.5%
4 82
 
8.2%
5 60
 
6.0%
6 38
 
3.8%
7 24
 
2.4%
8 18
 
1.8%
0 7
 
0.7%
9 7
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
o 1
33.3%
k 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7513
81.8%
Common 1571
 
17.1%
Latin 102
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 857
 
11.4%
지 249
 
3.3%
에 239
 
3.2%
이 162
 
2.2%
너 161
 
2.1%
유 159
 
2.1%
영 157
 
2.1%
광 136
 
1.8%
양 124
 
1.7%
태 123
 
1.6%
Other values (351) 5146
68.5%
Latin
ValueCountFrequency (%)
S 16
15.7%
J 10
 
9.8%
K 8
 
7.8%
E 7
 
6.9%
C 6
 
5.9%
H 6
 
5.9%
G 6
 
5.9%
Y 6
 
5.9%
M 5
 
4.9%
P 5
 
4.9%
Other values (14) 27
26.5%
Common
ValueCountFrequency (%)
1 302
19.2%
2 293
18.7%
259
16.5%
3 164
10.4%
) 151
9.6%
( 151
9.6%
4 82
 
5.2%
5 60
 
3.8%
6 38
 
2.4%
7 24
 
1.5%
Other values (6) 47
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7433
80.9%
ASCII 1672
 
18.2%
None 80
 
0.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 857
 
11.5%
지 249
 
3.3%
에 239
 
3.2%
이 162
 
2.2%
너 161
 
2.2%
유 159
 
2.1%
영 157
 
2.1%
광 136
 
1.8%
양 124
 
1.7%
태 123
 
1.7%
Other values (350) 5066
68.2%
ASCII
ValueCountFrequency (%)
1 302
18.1%
2 293
17.5%
259
15.5%
3 164
9.8%
) 151
9.0%
( 151
9.0%
4 82
 
4.9%
5 60
 
3.6%
6 38
 
2.3%
7 24
 
1.4%
Other values (29) 148
8.9%
None
ValueCountFrequency (%)
㈜ 80
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번주소
Text

Distinct1617
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
2023-12-12T08:31:17.666598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length90
Mean length26.414385
Min length17

Characters and Unicode

Total characters56923
Distinct characters141
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1373 ?
Unique (%)63.7%

Sample

1st row전라남도 영암군 도포면 영호리 572-5
2nd row전라남도 영암군 도포면 구학리 470, 473
3rd row전라남도 영암군 도포면 구학리 388, 389
4th row전라남도 영암군 학산면 은곡리 851-2
5th row전라남도 영암군 학산면 은곡리 780
ValueCountFrequency (%)
전라남도 2155
19.9%
영암군 2155
19.9%
삼호읍 452
 
4.2%
시종면 368
 
3.4%
신북면 310
 
2.9%
학산면 291
 
2.7%
동호리 239
 
2.2%
은곡리 195
 
1.8%
미암면 191
 
1.8%
도포면 173
 
1.6%
Other values (1733) 4274
39.6%
2023-12-12T08:31:18.054738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8649
 
15.2%
1 3328
 
5.8%
- 2757
 
4.8%
암 2414
 
4.2%
도 2366
 
4.2%
군 2277
 
4.0%
전 2256
 
4.0%
영 2228
 
3.9%
남 2164
 
3.8%
리 2156
 
3.8%
Other values (131) 26328
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28482
50.0%
Decimal Number 15361
27.0%
Space Separator 8649
 
15.2%
Dash Punctuation 2757
 
4.8%
Other Punctuation 1524
 
2.7%
Close Punctuation 74
 
0.1%
Open Punctuation 74
 
0.1%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 2414
 
8.5%
도 2366
 
8.3%
군 2277
 
8.0%
전 2256
 
7.9%
영 2228
 
7.8%
남 2164
 
7.6%
리 2156
 
7.6%
라 2155
 
7.6%
면 1663
 
5.8%
호 837
 
2.9%
Other values (113) 7966
28.0%
Decimal Number
ValueCountFrequency (%)
1 3328
21.7%
6 1633
10.6%
2 1586
10.3%
3 1506
9.8%
8 1420
9.2%
4 1304
 
8.5%
5 1278
 
8.3%
9 1194
 
7.8%
7 1149
 
7.5%
0 963
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 1523
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2757
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28482
50.0%
Common 28440
50.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 2414
 
8.5%
도 2366
 
8.3%
군 2277
 
8.0%
전 2256
 
7.9%
영 2228
 
7.8%
남 2164
 
7.6%
리 2156
 
7.6%
라 2155
 
7.6%
면 1663
 
5.8%
호 837
 
2.9%
Other values (113) 7966
28.0%
Common
ValueCountFrequency (%)
8649
30.4%
1 3328
 
11.7%
- 2757
 
9.7%
6 1633
 
5.7%
2 1586
 
5.6%
, 1523
 
5.4%
3 1506
 
5.3%
8 1420
 
5.0%
4 1304
 
4.6%
5 1278
 
4.5%
Other values (7) 3456
 
12.2%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28482
50.0%
ASCII 28441
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8649
30.4%
1 3328
 
11.7%
- 2757
 
9.7%
6 1633
 
5.7%
2 1586
 
5.6%
, 1523
 
5.4%
3 1506
 
5.3%
8 1420
 
5.0%
4 1304
 
4.6%
5 1278
 
4.5%
Other values (8) 3457
 
12.2%
Hangul
ValueCountFrequency (%)
암 2414
 
8.5%
도 2366
 
8.3%
군 2277
 
8.0%
전 2256
 
7.9%
영 2228
 
7.8%
남 2164
 
7.6%
리 2156
 
7.6%
라 2155
 
7.6%
면 1663
 
5.8%
호 837
 
2.9%
Other values (113) 7966
28.0%

용량
Real number (ℝ)

Distinct521
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.18332
Minimum9.68
Maximum1721.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.1 KiB
2023-12-12T08:31:18.192231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.68
5-th percentile37.212
Q199
median99.36
Q3199.6775
95-th percentile993.72
Maximum1721.92
Range1712.24
Interquartile range (IQR)100.6775

Descriptive statistics

Standard deviation256.18784
Coefficient of variation (CV)1.1795926
Kurtosis3.7389627
Mean217.18332
Median Absolute Deviation (MAD)0.6
Skewness2.1380696
Sum468030.06
Variance65632.212
MonotonicityNot monotonic
2023-12-12T08:31:18.335548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.2 231
 
10.7%
99.0 178
 
8.3%
99.51 125
 
5.8%
99.36 94
 
4.4%
97.2 61
 
2.8%
99.9 55
 
2.6%
99.28 46
 
2.1%
99.45 32
 
1.5%
99.16 32
 
1.5%
99.375 31
 
1.4%
Other values (511) 1270
58.9%
ValueCountFrequency (%)
9.68 1
 
< 0.1%
10.56 1
 
< 0.1%
13.2 1
 
< 0.1%
13.5 1
 
< 0.1%
14.08 3
0.1%
14.4 1
 
< 0.1%
14.445 1
 
< 0.1%
14.52 1
 
< 0.1%
14.76 1
 
< 0.1%
14.82 2
0.1%
ValueCountFrequency (%)
1721.92 1
 
< 0.1%
999.92 3
 
0.1%
999.81 1
 
< 0.1%
999.6 8
0.4%
999.585 1
 
< 0.1%
999.58 1
 
< 0.1%
999.32 1
 
< 0.1%
999.0 12
0.6%
998.97 1
 
< 0.1%
998.8 1
 
< 0.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
Minimum2022-05-02 00:00:00
Maximum2022-05-02 00:00:00
2023-12-12T08:31:18.467406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:31:18.556617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:31:16.201327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T08:31:16.333330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:31:16.450688image/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

관리기관명명칭소재지지번주소용량데이터기준일
0전라남도 영암군청서리전라남도 영암군 도포면 영호리 572-599.02022-05-02
1전라남도 영암군청무현전라남도 영암군 도포면 구학리 470, 47390.02022-05-02
2전라남도 영암군청지은이전라남도 영암군 도포면 구학리 388, 38960.02022-05-02
3전라남도 영암군청신영전라남도 영암군 학산면 은곡리 851-299.02022-05-02
4전라남도 영암군청신성1호전라남도 영암군 학산면 은곡리 78082.52022-05-02
5전라남도 영암군청신성2호전라남도 영암군 학산면 은곡리 780-182.52022-05-02
6전라남도 영암군청영암양지2호전라남도 영암군 삼호읍 동호리 1500-197.22022-05-02
7전라남도 영암군청영암그린1호전라남도 영암군 삼호읍 동호리 150599.02022-05-02
8전라남도 영암군청영암그린2호전라남도 영암군 삼호읍 동호리 1606-397.22022-05-02
9전라남도 영암군청동진전라남도 영암군 삼호읍 동호리 1639345.872022-05-02
관리기관명명칭소재지지번주소용량데이터기준일
2145전라남도 영암군청하늘사랑전라남도 영암군 덕진면 장선리 169-299.762022-05-02
2146전라남도 영암군청자연사랑전라남도 영암군 덕진면 장선리 17099.762022-05-02
2147전라남도 영암군청영암농업협동조합전라남도 영암군 영암읍 망호리 1168116998.942022-05-02
2148전라남도 영암군청영암농업협동조합전라남도 영암군 영암읍 망호리 1168116944.622022-05-02
2149전라남도 영암군청영암농업협동조합전라남도 영암군 영암읍 망호리 1168116998.942022-05-02
2150전라남도 영암군청영암농업협동조합전라남도 영암군 영암읍 망호리 1168116990.212022-05-02
2151전라남도 영암군청영암농업협동조합전라남도 영암군 영암읍 망호리 1168116931.042022-05-02
2152전라남도 영암군청연소농장전라남도 영암군 시종면 신연리 33629.762022-05-02
2153전라남도 영암군청대화 3호전라남도 영암군 삼호읍 난전리 1713-4,1713-5,1713-6,1713-15,1713-16,1713-1799.842022-05-02
2154전라남도 영암군청태인 영암전라남도 영암군 도포면 수산리 280-1498.82022-05-02

Duplicate rows

Most frequently occurring

관리기관명명칭소재지지번주소용량데이터기준일# duplicates
0전라남도 영암군청영암농업협동조합전라남도 영암군 영암읍 망호리 1168116998.942022-05-022