Overview

Dataset statistics

Number of variables7
Number of observations5962
Missing cells196
Missing cells (%)0.5%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory326.2 KiB
Average record size in memory56.0 B

Variable types

Text6
Categorical1

Dataset

Description전북특별자치도 정읍시 소재 태양광발전사업 허가 현황(발전소명, 설치면적, 허가용량, 설비용량, 발전소주소)등의 정보를 제공합니다.
Author전북특별자치도 정읍시
URLhttps://www.data.go.kr/data/15033893/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
설치구분 has 175 (2.9%) missing valuesMissing

Reproduction

Analysis started2024-03-15 00:09:33.225675
Analysis finished2024-03-15 00:09:35.680226
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Text

Distinct5364
Distinct (%)90.0%
Missing1
Missing (%)< 0.1%
Memory size46.7 KiB
2024-03-15T09:09:36.969094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length9.2190908
Min length2

Characters and Unicode

Total characters54955
Distinct characters532
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4956 ?
Unique (%)83.1%

Sample

1st row화천영3호태양광발전소
2nd row한국농어촌공사 정읍지사
3rd row㈜홍익이앤알
4th row(유)극동소수력발전소
5th row한국농어촌공사삿갓보소수력발전소
ValueCountFrequency (%)
태양광발전소 136
 
2.2%
대성태양광발전소 10
 
0.2%
한빛태양광발전소 8
 
0.1%
미래태양광발전소 8
 
0.1%
행복태양광발전소 8
 
0.1%
희망태양광발전소 8
 
0.1%
유한회사 8
 
0.1%
은정태양광발전소 6
 
0.1%
은혜태양광발전소 6
 
0.1%
정숙태양광발전소 6
 
0.1%
Other values (5359) 5953
96.7%
2024-03-15T09:09:38.319037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
태 5812
 
10.6%
광 5730
 
10.4%
양 5698
 
10.4%
소 5594
 
10.2%
전 5570
 
10.1%
발 5526
 
10.1%
호 2449
 
4.5%
1 974
 
1.8%
2 942
 
1.7%
3 434
 
0.8%
Other values (522) 16226
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50995
92.8%
Decimal Number 3104
 
5.6%
Uppercase Letter 340
 
0.6%
Space Separator 289
 
0.5%
Dash Punctuation 54
 
0.1%
Close Punctuation 52
 
0.1%
Open Punctuation 49
 
0.1%
Other Symbol 34
 
0.1%
Lowercase Letter 33
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
태 5812
11.4%
광 5730
11.2%
양 5698
11.2%
소 5594
11.0%
전 5570
10.9%
발 5526
10.8%
호 2449
 
4.8%
정 395
 
0.8%
성 392
 
0.8%
지 381
 
0.7%
Other values (471) 13448
26.4%
Uppercase Letter
ValueCountFrequency (%)
S 64
18.8%
Y 31
9.1%
J 30
8.8%
M 29
 
8.5%
H 28
 
8.2%
K 19
 
5.6%
G 19
 
5.6%
E 16
 
4.7%
C 15
 
4.4%
D 15
 
4.4%
Other values (12) 74
21.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
18.2%
l 4
12.1%
a 4
12.1%
r 4
12.1%
k 3
9.1%
j 3
9.1%
s 3
9.1%
y 2
 
6.1%
h 1
 
3.0%
p 1
 
3.0%
Other values (2) 2
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 974
31.4%
2 942
30.3%
3 434
14.0%
4 222
 
7.2%
5 162
 
5.2%
6 113
 
3.6%
7 83
 
2.7%
0 75
 
2.4%
8 56
 
1.8%
9 43
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51029
92.9%
Common 3553
 
6.5%
Latin 373
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
태 5812
11.4%
광 5730
11.2%
양 5698
11.2%
소 5594
11.0%
전 5570
10.9%
발 5526
10.8%
호 2449
 
4.8%
정 395
 
0.8%
성 392
 
0.8%
지 381
 
0.7%
Other values (472) 13482
26.4%
Latin
ValueCountFrequency (%)
S 64
17.2%
Y 31
 
8.3%
J 30
 
8.0%
M 29
 
7.8%
H 28
 
7.5%
K 19
 
5.1%
G 19
 
5.1%
E 16
 
4.3%
C 15
 
4.0%
D 15
 
4.0%
Other values (24) 107
28.7%
Common
ValueCountFrequency (%)
1 974
27.4%
2 942
26.5%
3 434
12.2%
289
 
8.1%
4 222
 
6.2%
5 162
 
4.6%
6 113
 
3.2%
7 83
 
2.3%
0 75
 
2.1%
8 56
 
1.6%
Other values (6) 203
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50995
92.8%
ASCII 3926
 
7.1%
None 34
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
태 5812
11.4%
광 5730
11.2%
양 5698
11.2%
소 5594
11.0%
전 5570
10.9%
발 5526
10.8%
호 2449
 
4.8%
정 395
 
0.8%
성 392
 
0.8%
지 381
 
0.7%
Other values (471) 13448
26.4%
ASCII
ValueCountFrequency (%)
1 974
24.8%
2 942
24.0%
3 434
11.1%
289
 
7.4%
4 222
 
5.7%
5 162
 
4.1%
6 113
 
2.9%
7 83
 
2.1%
0 75
 
1.9%
S 64
 
1.6%
Other values (40) 568
14.5%
None
ValueCountFrequency (%)
㈜ 34
100.0%

대표자
Text

Distinct3865
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2024-03-15T09:09:39.359253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.1145589
Min length2

Characters and Unicode

Total characters18569
Distinct characters304
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2777 ?
Unique (%)46.6%

Sample

1st row윤성욱
2nd row김형규
3rd row권왈순
4th row양순옥
5th row한국농어촌공사정읍지사장
ValueCountFrequency (%)
이윤영 31
 
0.5%
김계안 23
 
0.4%
황윤호 18
 
0.3%
송윤희 16
 
0.3%
송윤아 15
 
0.3%
정숙자 12
 
0.2%
김동규 11
 
0.2%
김소정 10
 
0.2%
김경옥 10
 
0.2%
김찬웅 9
 
0.2%
Other values (3839) 5820
97.4%
2024-03-15T09:09:40.698725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1470
 
7.9%
이 910
 
4.9%
정 608
 
3.3%
영 581
 
3.1%
박 529
 
2.8%
숙 378
 
2.0%
순 357
 
1.9%
최 337
 
1.8%
수 330
 
1.8%
희 320
 
1.7%
Other values (294) 12749
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18336
98.7%
Decimal Number 84
 
0.5%
Space Separator 59
 
0.3%
Open Punctuation 33
 
0.2%
Close Punctuation 33
 
0.2%
Other Symbol 21
 
0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1470
 
8.0%
이 910
 
5.0%
정 608
 
3.3%
영 581
 
3.2%
박 529
 
2.9%
숙 378
 
2.1%
순 357
 
1.9%
최 337
 
1.8%
수 330
 
1.8%
희 320
 
1.7%
Other values (278) 12516
68.3%
Decimal Number
ValueCountFrequency (%)
0 34
40.5%
3 13
 
15.5%
2 11
 
13.1%
4 11
 
13.1%
6 3
 
3.6%
1 3
 
3.6%
8 3
 
3.6%
5 2
 
2.4%
9 2
 
2.4%
7 2
 
2.4%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18357
98.9%
Common 212
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1470
 
8.0%
이 910
 
5.0%
정 608
 
3.3%
영 581
 
3.2%
박 529
 
2.9%
숙 378
 
2.1%
순 357
 
1.9%
최 337
 
1.8%
수 330
 
1.8%
희 320
 
1.7%
Other values (279) 12537
68.3%
Common
ValueCountFrequency (%)
59
27.8%
0 34
16.0%
( 33
15.6%
) 33
15.6%
3 13
 
6.1%
2 11
 
5.2%
4 11
 
5.2%
6 3
 
1.4%
1 3
 
1.4%
8 3
 
1.4%
Other values (5) 9
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18336
98.7%
ASCII 212
 
1.1%
None 21
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1470
 
8.0%
이 910
 
5.0%
정 608
 
3.3%
영 581
 
3.2%
박 529
 
2.9%
숙 378
 
2.1%
순 357
 
1.9%
최 337
 
1.8%
수 330
 
1.8%
희 320
 
1.7%
Other values (278) 12516
68.3%
ASCII
ValueCountFrequency (%)
59
27.8%
0 34
16.0%
( 33
15.6%
) 33
15.6%
3 13
 
6.1%
2 11
 
5.2%
4 11
 
5.2%
6 3
 
1.4%
1 3
 
1.4%
8 3
 
1.4%
Other values (5) 9
 
4.2%
None
ValueCountFrequency (%)
㈜ 21
100.0%

설치위치
Text

Distinct5173
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2024-03-15T09:09:41.896158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length154
Median length76
Mean length23.396511
Min length10

Characters and Unicode

Total characters139490
Distinct characters213
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4703 ?
Unique (%)78.9%

Sample

1st row정읍시 정우면 화천리 105-2
2nd row정우면 우산리 산161-4
3rd row태인면 거산리 503외 3필지
4th row산외면 종산리 246,276,277,278,619-13,산158-3
5th row옹동면 산성리 1295-30,1224-2,1481
ValueCountFrequency (%)
정읍시 5899
 
20.8%
감곡면 852
 
3.0%
북면 781
 
2.8%
신태인읍 555
 
2.0%
주1 486
 
1.7%
태인면 472
 
1.7%
고부면 441
 
1.6%
정우면 420
 
1.5%
이평면 377
 
1.3%
소성면 343
 
1.2%
Other values (6856) 17757
62.6%
2024-03-15T09:09:43.597707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25967
18.6%
1 9329
 
6.7%
- 7716
 
5.5%
정 6739
 
4.8%
읍 6478
 
4.6%
시 5946
 
4.3%
2 5673
 
4.1%
리 5378
 
3.9%
, 4897
 
3.5%
면 4864
 
3.5%
Other values (203) 56503
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55460
39.8%
Decimal Number 42713
30.6%
Space Separator 25967
18.6%
Dash Punctuation 7716
 
5.5%
Other Punctuation 4936
 
3.5%
Open Punctuation 1328
 
1.0%
Close Punctuation 1325
 
0.9%
Math Symbol 17
 
< 0.1%
Lowercase Letter 12
 
< 0.1%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6739
 
12.2%
읍 6478
 
11.7%
시 5946
 
10.7%
리 5378
 
9.7%
면 4864
 
8.8%
주 1935
 
3.5%
태 1393
 
2.5%
동 1088
 
2.0%
곡 1065
 
1.9%
인 1041
 
1.9%
Other values (180) 19533
35.2%
Decimal Number
ValueCountFrequency (%)
1 9329
21.8%
2 5673
13.3%
3 4419
10.3%
4 4240
9.9%
6 3821
8.9%
7 3377
 
7.9%
5 3355
 
7.9%
8 2877
 
6.7%
9 2869
 
6.7%
0 2753
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 4897
99.2%
. 27
 
0.5%
/ 12
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 14
82.4%
→ 2
 
11.8%
+ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
25967
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7716
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1325
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 12
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84006
60.2%
Hangul 55460
39.8%
Latin 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6739
 
12.2%
읍 6478
 
11.7%
시 5946
 
10.7%
리 5378
 
9.7%
면 4864
 
8.8%
주 1935
 
3.5%
태 1393
 
2.5%
동 1088
 
2.0%
곡 1065
 
1.9%
인 1041
 
1.9%
Other values (180) 19533
35.2%
Common
ValueCountFrequency (%)
25967
30.9%
1 9329
 
11.1%
- 7716
 
9.2%
2 5673
 
6.8%
, 4897
 
5.8%
3 4419
 
5.3%
4 4240
 
5.0%
6 3821
 
4.5%
7 3377
 
4.0%
5 3355
 
4.0%
Other values (11) 11212
13.3%
Latin
ValueCountFrequency (%)
k 12
50.0%
W 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84024
60.2%
Hangul 55454
39.8%
Compat Jamo 6
 
< 0.1%
CJK Compat 4
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25967
30.9%
1 9329
 
11.1%
- 7716
 
9.2%
2 5673
 
6.8%
, 4897
 
5.8%
3 4419
 
5.3%
4 4240
 
5.0%
6 3821
 
4.5%
7 3377
 
4.0%
5 3355
 
4.0%
Other values (11) 11230
13.4%
Hangul
ValueCountFrequency (%)
정 6739
 
12.2%
읍 6478
 
11.7%
시 5946
 
10.7%
리 5378
 
9.7%
면 4864
 
8.8%
주 1935
 
3.5%
태 1393
 
2.5%
동 1088
 
2.0%
곡 1065
 
1.9%
인 1041
 
1.9%
Other values (176) 19527
35.2%
CJK Compat
ValueCountFrequency (%)
㎡ 4
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 2
33.3%
ㄴ 2
33.3%
ㄷ 1
16.7%
ㄹ 1
16.7%

설치구분
Text

MISSING 

Distinct251
Distinct (%)4.3%
Missing175
Missing (%)2.9%
Memory size46.7 KiB
2024-03-15T09:09:44.338252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length2
Mean length3.7449456
Min length1

Characters and Unicode

Total characters21672
Distinct characters159
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)2.5%

Sample

1st row건물상부
2nd row건물상부
3rd row건물상부
4th row토지
5th row토지
ValueCountFrequency (%)
토지 3866
63.8%
건물상부 950
 
15.7%
건물상부(우사 140
 
2.3%
퇴비사 98
 
1.6%
건물 76
 
1.3%
건물(우사,퇴비사 50
 
0.8%
건물(우사 45
 
0.7%
가축용창고 36
 
0.6%
건물상부(축사 34
 
0.6%
건물(축사 34
 
0.6%
Other values (219) 731
 
12.1%
2024-03-15T09:09:45.715327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3876
17.9%
토 3874
17.9%
물 1939
8.9%
건 1925
8.9%
상 1463
 
6.8%
부 1462
 
6.7%
( 919
 
4.2%
) 917
 
4.2%
사 914
 
4.2%
, 512
 
2.4%
Other values (149) 3871
17.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18816
86.8%
Open Punctuation 919
 
4.2%
Close Punctuation 917
 
4.2%
Other Punctuation 516
 
2.4%
Space Separator 474
 
2.2%
Decimal Number 18
 
0.1%
Dash Punctuation 6
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Modifier Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3876
20.6%
토 3874
20.6%
물 1939
10.3%
건 1925
10.2%
상 1463
 
7.8%
부 1462
 
7.8%
사 914
 
4.9%
우 305
 
1.6%
퇴 270
 
1.4%
비 270
 
1.4%
Other values (134) 2518
13.4%
Uppercase Letter
ValueCountFrequency (%)
V 1
25.0%
P 1
25.0%
I 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 512
99.2%
/ 3
 
0.6%
. 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 13
72.2%
1 5
 
27.8%
Open Punctuation
ValueCountFrequency (%)
( 919
100.0%
Close Punctuation
ValueCountFrequency (%)
) 917
100.0%
Space Separator
ValueCountFrequency (%)
474
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18816
86.8%
Common 2852
 
13.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3876
20.6%
토 3874
20.6%
물 1939
10.3%
건 1925
10.2%
상 1463
 
7.8%
부 1462
 
7.8%
사 914
 
4.9%
우 305
 
1.6%
퇴 270
 
1.4%
비 270
 
1.4%
Other values (134) 2518
13.4%
Common
ValueCountFrequency (%)
( 919
32.2%
) 917
32.2%
, 512
18.0%
474
16.6%
2 13
 
0.5%
- 6
 
0.2%
1 5
 
0.2%
/ 3
 
0.1%
` 1
 
< 0.1%
+ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
V 1
25.0%
P 1
25.0%
I 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18816
86.8%
ASCII 2856
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3876
20.6%
토 3874
20.6%
물 1939
10.3%
건 1925
10.2%
상 1463
 
7.8%
부 1462
 
7.8%
사 914
 
4.9%
우 305
 
1.6%
퇴 270
 
1.4%
비 270
 
1.4%
Other values (134) 2518
13.4%
ASCII
ValueCountFrequency (%)
( 919
32.2%
) 917
32.1%
, 512
17.9%
474
16.6%
2 13
 
0.5%
- 6
 
0.2%
1 5
 
0.2%
/ 3
 
0.1%
` 1
 
< 0.1%
+ 1
 
< 0.1%
Other values (5) 5
 
0.2%

설치면적(제곱미터)
Text

Distinct2558
Distinct (%)43.0%
Missing20
Missing (%)0.3%
Memory size46.7 KiB
2024-03-15T09:09:47.548478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length4
Mean length3.9303265
Min length1

Characters and Unicode

Total characters23354
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1375 ?
Unique (%)23.1%

Sample

1st row517.5
2nd row3556
3rd row2141
4th row545
5th row852
ValueCountFrequency (%)
633 33
 
0.6%
637.6 33
 
0.6%
1000 32
 
0.5%
500 28
 
0.5%
460 20
 
0.3%
1100 19
 
0.3%
1400 18
 
0.3%
900 17
 
0.3%
1200 16
 
0.3%
712 16
 
0.3%
Other values (2553) 5717
96.1%
2024-03-15T09:09:49.542730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4810
20.6%
3 2237
9.6%
0 2167
9.3%
4 2078
8.9%
2 2072
8.9%
5 1856
 
7.9%
6 1839
 
7.9%
9 1804
 
7.7%
8 1708
 
7.3%
7 1530
 
6.6%
Other values (12) 1253
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22101
94.6%
Other Punctuation 1181
 
5.1%
Space Separator 60
 
0.3%
Other Letter 10
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4810
21.8%
3 2237
10.1%
0 2167
9.8%
4 2078
9.4%
2 2072
9.4%
5 1856
 
8.4%
6 1839
 
8.3%
9 1804
 
8.2%
8 1708
 
7.7%
7 1530
 
6.9%
Other Letter
ValueCountFrequency (%)
토 2
20.0%
지 2
20.0%
건 2
20.0%
물 2
20.0%
상 1
10.0%
부 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 1174
99.4%
, 5
 
0.4%
/ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23344
> 99.9%
Hangul 10
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4810
20.6%
3 2237
9.6%
0 2167
9.3%
4 2078
8.9%
2 2072
8.9%
5 1856
 
8.0%
6 1839
 
7.9%
9 1804
 
7.7%
8 1708
 
7.3%
7 1530
 
6.6%
Other values (6) 1243
 
5.3%
Hangul
ValueCountFrequency (%)
토 2
20.0%
지 2
20.0%
건 2
20.0%
물 2
20.0%
상 1
10.0%
부 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23344
> 99.9%
Hangul 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4810
20.6%
3 2237
9.6%
0 2167
9.3%
4 2078
8.9%
2 2072
8.9%
5 1856
 
8.0%
6 1839
 
7.9%
9 1804
 
7.7%
8 1708
 
7.3%
7 1530
 
6.6%
Other values (6) 1243
 
5.3%
Hangul
ValueCountFrequency (%)
토 2
20.0%
지 2
20.0%
건 2
20.0%
물 2
20.0%
상 1
10.0%
부 1
10.0%

허가용량(kW)
Text

Distinct725
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2024-03-15T09:09:51.021458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length4.0360617
Min length1

Characters and Unicode

Total characters24063
Distinct characters21
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)7.4%

Sample

1st row99
2nd row2075
3rd row850
4th row1500
5th row400
ValueCountFrequency (%)
99 1018
 
17.1%
99.4 421
 
7.1%
99.9 341
 
5.7%
99.36 320
 
5.4%
99.16 225
 
3.8%
99.2 210
 
3.5%
99.45 179
 
3.0%
99.96 160
 
2.7%
99.28 134
 
2.2%
98.8 103
 
1.7%
Other values (718) 2855
47.9%
2024-03-15T09:09:52.862653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 10051
41.8%
. 4391
18.2%
6 1379
 
5.7%
4 1343
 
5.6%
8 1283
 
5.3%
2 1258
 
5.2%
5 1253
 
5.2%
1 971
 
4.0%
7 812
 
3.4%
3 744
 
3.1%
Other values (11) 578
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19659
81.7%
Other Punctuation 4392
 
18.3%
Other Letter 6
 
< 0.1%
Space Separator 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 10051
51.1%
6 1379
 
7.0%
4 1343
 
6.8%
8 1283
 
6.5%
2 1258
 
6.4%
5 1253
 
6.4%
1 971
 
4.9%
7 812
 
4.1%
3 744
 
3.8%
0 565
 
2.9%
Other Letter
ValueCountFrequency (%)
토 1
16.7%
지 1
16.7%
건 1
16.7%
물 1
16.7%
상 1
16.7%
부 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 4391
> 99.9%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24057
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 10051
41.8%
. 4391
18.3%
6 1379
 
5.7%
4 1343
 
5.6%
8 1283
 
5.3%
2 1258
 
5.2%
5 1253
 
5.2%
1 971
 
4.0%
7 812
 
3.4%
3 744
 
3.1%
Other values (5) 572
 
2.4%
Hangul
ValueCountFrequency (%)
토 1
16.7%
지 1
16.7%
건 1
16.7%
물 1
16.7%
상 1
16.7%
부 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24057
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 10051
41.8%
. 4391
18.3%
6 1379
 
5.7%
4 1343
 
5.6%
8 1283
 
5.3%
2 1258
 
5.2%
5 1253
 
5.2%
1 971
 
4.0%
7 812
 
3.4%
3 744
 
3.1%
Other values (5) 572
 
2.4%
Hangul
ValueCountFrequency (%)
토 1
16.7%
지 1
16.7%
건 1
16.7%
물 1
16.7%
상 1
16.7%
부 1
16.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2024-01-31
5962 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 5962
100.0%

Length

2024-03-15T09:09:53.121605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:09:53.291965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 5962
100.0%

Missing values

2024-03-15T09:09:34.699433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:09:35.144566image/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.
2024-03-15T09:09:35.492195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

발전소명대표자설치위치설치구분설치면적(제곱미터)허가용량(kW)데이터기준일자
0화천영3호태양광발전소윤성욱정읍시 정우면 화천리 105-2건물상부517.5992024-01-31
1한국농어촌공사 정읍지사김형규정우면 우산리 산161-4<NA>355620752024-01-31
2㈜홍익이앤알권왈순태인면 거산리 503외 3필지<NA>21418502024-01-31
3(유)극동소수력발전소양순옥산외면 종산리 246,276,277,278,619-13,산158-3<NA>54515002024-01-31
4한국농어촌공사삿갓보소수력발전소한국농어촌공사정읍지사장옹동면 산성리 1295-30,1224-2,1481<NA>8524002024-01-31
5주)대광정밀장소수력발전소장균식산외면 종산리 341-2, 313-5, 341-6, 341-1,342-1, 342, 341-4, 341-5,223, 222-2, 228, 619-13번지<NA>12067502024-01-31
6유한회사 극동제2소수력발전소심승섭산외면 종산리 발전소 238-1, 619-13, 237-1, 237-6, 237-8, 238-3, 238-5, 242-1, 242-2, 243-1, 243-2, 243-5, 243-7, 243-9, 243-10,산159-22, 산159-2, 산159-4, 634, 산162-3<NA>37877502024-01-31
7농업회사법인(유)친환경대현그린김성대신태인읍 연정리 581,581-3,581-4,581-7,581-8,581-9,581-10,581-13<NA>59323702024-01-31
8(유)월드그린채관수정읍시 감곡면 진흥리산294-2<NA>5141982024-01-31
9정읍태양광 전력김적우정읍시 북면 한교리 25-9<NA>14522002024-01-31
발전소명대표자설치위치설치구분설치면적(제곱미터)허가용량(kW)데이터기준일자
5952서준찬태양광발전소김정현정읍시 상동 286-5(주1)건물(주택,근린생활시설)8919.82024-01-31
5953삼산농장2호태양광발전소박찬원정읍시 삼산동 509-1, 509-3, 509-4, 509-5, 509-8(주1)건물(우사,창고,퇴비사)161.834.82024-01-31
5954덕천1호태양광발전소최낙준정읍시 망제동 762토지90399.62024-01-31
5955덕천3호태양광발전소김훈정읍시 망제동 762토지68399.62024-01-31
5956덕천2호태양광발전소조말선정읍시 망제동 762토지68399.62024-01-31
5957정희태양광발전소최동수정읍시 고부면 용흥리 352토지75799.3752024-01-31
5958신영태양광발전소김재기정읍시 영원면 신영리 88-1, 89-1, 89-2, 184-1, 597-20 (주1)건물(우사)779.199.62024-01-31
5959서이석3호태양광발전소서이석정읍시 북면 복흥리 561, 570토지95099.8252024-01-31
5960김희동1호태양광발전소김희동정읍시 태인면 태성리 13, 42-3(주3), 42(주1)건물(버섯재배사,우사)35174.582024-01-31
5961김희동2호태양광발전소김희동정읍시 태인면 태성리 13, 42-3(주1,2,3), 42-4 (주1)건물(우사,퇴비사)810.8234.92024-01-31

Duplicate rows

Most frequently occurring

발전소명대표자설치위치설치구분설치면적(제곱미터)허가용량(kW)데이터기준일자# duplicates
0화천영3호태양광발전소윤성욱정읍시 정우면 화천리 105-2건물상부517.5992024-01-312