Overview

Dataset statistics

Number of variables12
Number of observations1408
Missing cells682
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory136.3 KiB
Average record size in memory99.1 B

Variable types

Numeric2
Text4
Categorical4
DateTime2

Dataset

Description전라북도 장수군 태양광발전시설 허가 및 설치 현황입니다. 설치장소소재지, 설비용량, 공급전압, 주파수, 허가일자, 준비기간, 공사계획신고일, 사업개시신고일 구성입니다.
URLhttps://www.data.go.kr/data/15113298/fileData.do

Alerts

원동력의종류 has constant value ""Constant
주파수(Hz) has constant value ""Constant
데이터기준일자 has constant value ""Constant
공급전압(V) is highly imbalanced (89.5%)Imbalance
공사계획신고일 has 361 (25.6%) missing valuesMissing
사업개시신고일 has 318 (22.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:40:42.491752
Analysis finished2023-12-12 21:40:43.899691
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean704.5
Minimum1
Maximum1408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2023-12-13T06:40:43.964065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile71.35
Q1352.75
median704.5
Q31056.25
95-th percentile1337.65
Maximum1408
Range1407
Interquartile range (IQR)703.5

Descriptive statistics

Standard deviation406.5989
Coefficient of variation (CV)0.57714535
Kurtosis-1.2
Mean704.5
Median Absolute Deviation (MAD)352
Skewness0
Sum991936
Variance165322.67
MonotonicityStrictly increasing
2023-12-13T06:40:44.115462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
706 1
 
0.1%
946 1
 
0.1%
945 1
 
0.1%
944 1
 
0.1%
943 1
 
0.1%
942 1
 
0.1%
941 1
 
0.1%
940 1
 
0.1%
939 1
 
0.1%
Other values (1398) 1398
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1408 1
0.1%
1407 1
0.1%
1406 1
0.1%
1405 1
0.1%
1404 1
0.1%
1403 1
0.1%
1402 1
0.1%
1401 1
0.1%
1400 1
0.1%
1399 1
0.1%

상호
Text

Distinct1354
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-13T06:40:44.398607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.159801
Min length1

Characters and Unicode

Total characters14305
Distinct characters374
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

Unique1307 ?
Unique (%)92.8%

Sample

1st row먹골태양광발전소
2nd row수태양광발전소
3rd row먹골2차태양광발전소
4th row동부태양광발전소
5th row송산에너지
ValueCountFrequency (%)
태양광발전소 1001
39.5%
발전소 48
 
1.9%
태양광 27
 
1.1%
장수 7
 
0.3%
한마음 7
 
0.3%
행복 6
 
0.2%
하월 5
 
0.2%
2호 5
 
0.2%
3호 4
 
0.2%
1호 4
 
0.2%
Other values (1349) 1421
56.1%
2023-12-13T06:40:44.788933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1385
 
9.7%
전 1378
 
9.6%
양 1368
 
9.6%
발 1364
 
9.5%
태 1358
 
9.5%
광 1352
 
9.5%
1255
 
8.8%
호 583
 
4.1%
1 230
 
1.6%
2 207
 
1.4%
Other values (364) 3825
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12226
85.5%
Space Separator 1255
 
8.8%
Decimal Number 723
 
5.1%
Uppercase Letter 57
 
0.4%
Lowercase Letter 29
 
0.2%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1385
11.3%
전 1378
11.3%
양 1368
11.2%
발 1364
11.2%
태 1358
11.1%
광 1352
11.1%
호 583
 
4.8%
장 173
 
1.4%
수 171
 
1.4%
지 79
 
0.6%
Other values (325) 3015
24.7%
Uppercase Letter
ValueCountFrequency (%)
S 18
31.6%
K 9
15.8%
J 9
15.8%
H 5
 
8.8%
G 3
 
5.3%
P 3
 
5.3%
D 3
 
5.3%
B 2
 
3.5%
E 1
 
1.8%
N 1
 
1.8%
Other values (3) 3
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 230
31.8%
2 207
28.6%
3 99
13.7%
4 46
 
6.4%
5 46
 
6.4%
6 30
 
4.1%
7 25
 
3.5%
8 19
 
2.6%
9 11
 
1.5%
0 10
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.7%
t 4
13.8%
c 3
10.3%
s 3
10.3%
h 3
10.3%
a 3
10.3%
n 2
 
6.9%
y 2
 
6.9%
p 2
 
6.9%
u 1
 
3.4%
Space Separator
ValueCountFrequency (%)
1255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12227
85.5%
Common 1992
 
13.9%
Latin 86
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1385
11.3%
전 1378
11.3%
양 1368
11.2%
발 1364
11.2%
태 1358
11.1%
광 1352
11.1%
호 583
 
4.8%
장 173
 
1.4%
수 171
 
1.4%
지 79
 
0.6%
Other values (326) 3016
24.7%
Latin
ValueCountFrequency (%)
S 18
20.9%
K 9
 
10.5%
J 9
 
10.5%
e 6
 
7.0%
H 5
 
5.8%
t 4
 
4.7%
c 3
 
3.5%
G 3
 
3.5%
P 3
 
3.5%
s 3
 
3.5%
Other values (13) 23
26.7%
Common
ValueCountFrequency (%)
1255
63.0%
1 230
 
11.5%
2 207
 
10.4%
3 99
 
5.0%
4 46
 
2.3%
5 46
 
2.3%
6 30
 
1.5%
7 25
 
1.3%
8 19
 
1.0%
9 11
 
0.6%
Other values (5) 24
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12226
85.5%
ASCII 2078
 
14.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1385
11.3%
전 1378
11.3%
양 1368
11.2%
발 1364
11.2%
태 1358
11.1%
광 1352
11.1%
호 583
 
4.8%
장 173
 
1.4%
수 171
 
1.4%
지 79
 
0.6%
Other values (325) 3015
24.7%
ASCII
ValueCountFrequency (%)
1255
60.4%
1 230
 
11.1%
2 207
 
10.0%
3 99
 
4.8%
4 46
 
2.2%
5 46
 
2.2%
6 30
 
1.4%
7 25
 
1.2%
8 19
 
0.9%
S 18
 
0.9%
Other values (28) 103
 
5.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

설치장소소재지
Text

Distinct1299
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-13T06:40:45.027905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length156
Median length71
Mean length26.044034
Min length1

Characters and Unicode

Total characters36670
Distinct characters128
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1238 ?
Unique (%)87.9%

Sample

1st row산서면 동화리603-8,9,10,11,27번지
2nd row장수읍 송천리 1090-50
3rd row산서면 동화리 603-14,15
4th row장수읍 노곡리 산123-34, 909번지
5th row산서면 동화리 832-9 건물상부
ValueCountFrequency (%)
장수군 1268
 
15.6%
전북 1222
 
15.0%
장수읍 375
 
4.6%
산서면 256
 
3.1%
계북면 255
 
3.1%
건물상부 229
 
2.8%
천천면 198
 
2.4%
장계면 154
 
1.9%
원촌리 138
 
1.7%
계남면 103
 
1.3%
Other values (2011) 3941
48.4%
2023-12-13T06:40:45.432394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6762
18.4%
장 1850
 
5.0%
1 1836
 
5.0%
- 1758
 
4.8%
수 1668
 
4.5%
북 1508
 
4.1%
리 1406
 
3.8%
전 1283
 
3.5%
군 1269
 
3.5%
2 1204
 
3.3%
Other values (118) 16126
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16730
45.6%
Decimal Number 9765
26.6%
Space Separator 6762
18.4%
Dash Punctuation 1758
 
4.8%
Other Punctuation 1076
 
2.9%
Close Punctuation 289
 
0.8%
Open Punctuation 289
 
0.8%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1850
 
11.1%
수 1668
 
10.0%
북 1508
 
9.0%
리 1406
 
8.4%
전 1283
 
7.7%
군 1269
 
7.6%
면 1041
 
6.2%
계 602
 
3.6%
산 555
 
3.3%
천 486
 
2.9%
Other values (101) 5062
30.3%
Decimal Number
ValueCountFrequency (%)
1 1836
18.8%
2 1204
12.3%
3 1006
10.3%
5 969
9.9%
4 876
9.0%
7 859
8.8%
9 789
8.1%
6 762
7.8%
0 759
7.8%
8 705
 
7.2%
Other Punctuation
ValueCountFrequency (%)
, 1065
99.0%
. 11
 
1.0%
Space Separator
ValueCountFrequency (%)
6762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1758
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19940
54.4%
Hangul 16730
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1850
 
11.1%
수 1668
 
10.0%
북 1508
 
9.0%
리 1406
 
8.4%
전 1283
 
7.7%
군 1269
 
7.6%
면 1041
 
6.2%
계 602
 
3.6%
산 555
 
3.3%
천 486
 
2.9%
Other values (101) 5062
30.3%
Common
ValueCountFrequency (%)
6762
33.9%
1 1836
 
9.2%
- 1758
 
8.8%
2 1204
 
6.0%
, 1065
 
5.3%
3 1006
 
5.0%
5 969
 
4.9%
4 876
 
4.4%
7 859
 
4.3%
9 789
 
4.0%
Other values (7) 2816
14.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19940
54.4%
Hangul 16730
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6762
33.9%
1 1836
 
9.2%
- 1758
 
8.8%
2 1204
 
6.0%
, 1065
 
5.3%
3 1006
 
5.0%
5 969
 
4.9%
4 876
 
4.4%
7 859
 
4.3%
9 789
 
4.0%
Other values (7) 2816
14.1%
Hangul
ValueCountFrequency (%)
장 1850
 
11.1%
수 1668
 
10.0%
북 1508
 
9.0%
리 1406
 
8.4%
전 1283
 
7.7%
군 1269
 
7.6%
면 1041
 
6.2%
계 602
 
3.6%
산 555
 
3.3%
천 486
 
2.9%
Other values (101) 5062
30.3%

원동력의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
태양광
1408 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
태양광 1408
100.0%

Length

2023-12-13T06:40:45.568121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:40:45.650900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 1408
100.0%

설비용량(KW)
Real number (ℝ)

Distinct287
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.49699
Minimum9.45
Maximum2993.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2023-12-13T06:40:45.747867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.45
5-th percentile29.7955
Q198.42
median99.28
Q399.75
95-th percentile486.39
Maximum2993.76
Range2984.31
Interquartile range (IQR)1.33

Descriptive statistics

Standard deviation196.36808
Coefficient of variation (CV)1.4076869
Kurtosis70.565878
Mean139.49699
Median Absolute Deviation (MAD)0.48
Skewness6.7811648
Sum196411.76
Variance38560.422
MonotonicityNot monotonic
2023-12-13T06:40:45.882236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 190
 
13.5%
99.6 65
 
4.6%
99.4 55
 
3.9%
99.9 55
 
3.9%
99.75 51
 
3.6%
99.45 51
 
3.6%
99.28 48
 
3.4%
99.36 46
 
3.3%
98.28 42
 
3.0%
99.18 38
 
2.7%
Other values (277) 767
54.5%
ValueCountFrequency (%)
9.45 1
0.1%
9.9 2
0.1%
10.2 1
0.1%
12.04 1
0.1%
12.98 1
0.1%
14.25 1
0.1%
14.28 1
0.1%
14.4 1
0.1%
14.5 2
0.1%
14.62 1
0.1%
ValueCountFrequency (%)
2993.76 1
 
0.1%
2984.85 1
 
0.1%
1192.78 1
 
0.1%
1000.0 6
0.4%
999.77 1
 
0.1%
999.6 2
 
0.1%
999.53 1
 
0.1%
999.45 5
0.4%
999.35 1
 
0.1%
999.0 5
0.4%

공급전압(V)
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
380
1357 
220
 
18
220/380
 
15
22900
 
14
<NA>
 
2
Other values (2)
 
2

Length

Max length7
Median length3
Mean length3.0667614
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row380
2nd row<NA>
3rd row380
4th row<NA>
5th row380

Common Values

ValueCountFrequency (%)
380 1357
96.4%
220 18
 
1.3%
220/380 15
 
1.1%
22900 14
 
1.0%
<NA> 2
 
0.1%
220/280 1
 
0.1%
280 1
 
0.1%

Length

2023-12-13T06:40:46.035981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:40:46.151391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 1357
96.4%
220 18
 
1.3%
220/380 15
 
1.1%
22900 14
 
1.0%
na 2
 
0.1%
220/280 1
 
0.1%
280 1
 
0.1%

주파수(Hz)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
60
1408 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row60

Common Values

ValueCountFrequency (%)
60 1408
100.0%

Length

2023-12-13T06:40:46.301053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:40:46.411302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 1408
100.0%

허가일자
Date

Distinct394
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2002-11-25 00:00:00
Maximum2023-04-07 00:00:00
2023-12-13T06:40:46.527755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:40:46.673611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준비기간
Date

Distinct427
Distinct (%)30.4%
Missing3
Missing (%)0.2%
Memory size11.1 KiB
Minimum2007-09-01 00:00:00
Maximum2026-12-09 00:00:00
2023-12-13T06:40:46.830816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:40:46.980032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사계획신고일
Text

MISSING 

Distinct331
Distinct (%)31.6%
Missing361
Missing (%)25.6%
Memory size11.1 KiB
2023-12-13T06:40:47.182069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length10
Mean length10.119389
Min length1

Characters and Unicode

Total characters10595
Distinct characters49
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

Unique133 ?
Unique (%)12.7%

Sample

1st row2009-05-08
2nd row2009-09-24
3rd row2010-01-11
4th row2012-05-07
5th row2013-02-27
ValueCountFrequency (%)
2020-11-03 20
 
1.9%
2020-01-06 18
 
1.7%
2019-10-11 17
 
1.6%
2020-10-27 16
 
1.5%
2018.03.14 14
 
1.3%
2019-03-19 13
 
1.2%
2020-05-15 12
 
1.1%
2019-07-22 12
 
1.1%
2020-03-05 12
 
1.1%
2018-12-31 12
 
1.1%
Other values (328) 913
86.2%
2023-12-13T06:40:47.509444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2682
25.3%
2 2287
21.6%
- 1980
18.7%
1 1616
15.3%
9 320
 
3.0%
3 318
 
3.0%
8 255
 
2.4%
5 211
 
2.0%
4 209
 
2.0%
6 206
 
1.9%
Other values (39) 511
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8307
78.4%
Dash Punctuation 1980
 
18.7%
Other Letter 161
 
1.5%
Other Punctuation 105
 
1.0%
Space Separator 20
 
0.2%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%
Uppercase Letter 3
 
< 0.1%
Other Symbol 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 16
 
9.9%
소 9
 
5.6%
발 9
 
5.6%
이 8
 
5.0%
한 8
 
5.0%
위 8
 
5.0%
개 8
 
5.0%
취 8
 
5.0%
인 8
 
5.0%
금 8
 
5.0%
Other values (19) 71
44.1%
Decimal Number
ValueCountFrequency (%)
0 2682
32.3%
2 2287
27.5%
1 1616
19.5%
9 320
 
3.9%
3 318
 
3.8%
8 255
 
3.1%
5 211
 
2.5%
4 209
 
2.5%
6 206
 
2.5%
7 203
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 104
99.0%
: 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
E 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1980
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Symbol
ValueCountFrequency (%)
○ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10431
98.5%
Hangul 161
 
1.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 16
 
9.9%
소 9
 
5.6%
발 9
 
5.6%
이 8
 
5.0%
한 8
 
5.0%
위 8
 
5.0%
개 8
 
5.0%
취 8
 
5.0%
인 8
 
5.0%
금 8
 
5.0%
Other values (19) 71
44.1%
Common
ValueCountFrequency (%)
0 2682
25.7%
2 2287
21.9%
- 1980
19.0%
1 1616
15.5%
9 320
 
3.1%
3 318
 
3.0%
8 255
 
2.4%
5 211
 
2.0%
4 209
 
2.0%
6 206
 
2.0%
Other values (8) 347
 
3.3%
Latin
ValueCountFrequency (%)
S 2
66.7%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10432
98.5%
Hangul 161
 
1.5%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2682
25.7%
2 2287
21.9%
- 1980
19.0%
1 1616
15.5%
9 320
 
3.1%
3 318
 
3.0%
8 255
 
2.4%
5 211
 
2.0%
4 209
 
2.0%
6 206
 
2.0%
Other values (9) 348
 
3.3%
Hangul
ValueCountFrequency (%)
행 16
 
9.9%
소 9
 
5.6%
발 9
 
5.6%
이 8
 
5.0%
한 8
 
5.0%
위 8
 
5.0%
개 8
 
5.0%
취 8
 
5.0%
인 8
 
5.0%
금 8
 
5.0%
Other values (19) 71
44.1%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

사업개시신고일
Text

MISSING 

Distinct311
Distinct (%)28.5%
Missing318
Missing (%)22.6%
Memory size11.1 KiB
2023-12-13T06:40:47.784979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length10
Mean length9.9550459
Min length4

Characters and Unicode

Total characters10851
Distinct characters27
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

Unique138 ?
Unique (%)12.7%

Sample

1st row2010-01-07
2nd row2010-09-02
3rd row2011-04-14
4th row2012-06-07
5th row2013-03-29
ValueCountFrequency (%)
2020-07-01 29
 
2.7%
2021-01-06 22
 
2.0%
2019-06-12 21
 
1.9%
2020-07-13 18
 
1.6%
2020-12-30 17
 
1.6%
2020-09-07 16
 
1.5%
2021-01-28 16
 
1.5%
2020-02-21 15
 
1.4%
2019-04-23 15
 
1.4%
2022-08-16 15
 
1.4%
Other values (302) 909
83.2%
2023-12-13T06:40:48.219597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2838
26.2%
2 2465
22.7%
- 2120
19.5%
1 1637
15.1%
9 340
 
3.1%
7 294
 
2.7%
3 256
 
2.4%
6 250
 
2.3%
8 203
 
1.9%
4 165
 
1.5%
Other values (17) 283
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8612
79.4%
Dash Punctuation 2120
 
19.5%
Other Letter 72
 
0.7%
Other Punctuation 38
 
0.4%
Open Punctuation 3
 
< 0.1%
Space Separator 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 12
16.7%
치 12
16.7%
완 11
15.3%
료 11
15.3%
신 5
6.9%
고 5
6.9%
개 4
 
5.6%
시 4
 
5.6%
음 4
 
5.6%
없 2
 
2.8%
Other values (2) 2
 
2.8%
Decimal Number
ValueCountFrequency (%)
0 2838
33.0%
2 2465
28.6%
1 1637
19.0%
9 340
 
3.9%
7 294
 
3.4%
3 256
 
3.0%
6 250
 
2.9%
8 203
 
2.4%
4 165
 
1.9%
5 164
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10779
99.3%
Hangul 72
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2838
26.3%
2 2465
22.9%
- 2120
19.7%
1 1637
15.2%
9 340
 
3.2%
7 294
 
2.7%
3 256
 
2.4%
6 250
 
2.3%
8 203
 
1.9%
4 165
 
1.5%
Other values (5) 211
 
2.0%
Hangul
ValueCountFrequency (%)
설 12
16.7%
치 12
16.7%
완 11
15.3%
료 11
15.3%
신 5
6.9%
고 5
6.9%
개 4
 
5.6%
시 4
 
5.6%
음 4
 
5.6%
없 2
 
2.8%
Other values (2) 2
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10779
99.3%
Hangul 72
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2838
26.3%
2 2465
22.9%
- 2120
19.7%
1 1637
15.2%
9 340
 
3.2%
7 294
 
2.7%
3 256
 
2.4%
6 250
 
2.3%
8 203
 
1.9%
4 165
 
1.5%
Other values (5) 211
 
2.0%
Hangul
ValueCountFrequency (%)
설 12
16.7%
치 12
16.7%
완 11
15.3%
료 11
15.3%
신 5
6.9%
고 5
6.9%
개 4
 
5.6%
시 4
 
5.6%
음 4
 
5.6%
없 2
 
2.8%
Other values (2) 2
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-04-11
1408 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-11
2nd row2023-04-11
3rd row2023-04-11
4th row2023-04-11
5th row2023-04-11

Common Values

ValueCountFrequency (%)
2023-04-11 1408
100.0%

Length

2023-12-13T06:40:48.410559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:40:48.530133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-11 1408
100.0%

Interactions

2023-12-13T06:40:43.330094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:40:43.133620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:40:43.427060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:40:43.235714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:40:48.606433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(KW)공급전압(V)
순번1.0000.5950.211
설비용량(KW)0.5951.0000.391
공급전압(V)0.2110.3911.000
2023-12-13T06:40:48.708516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(KW)공급전압(V)
순번1.0000.0200.112
설비용량(KW)0.0201.0000.277
공급전압(V)0.1120.2771.000

Missing values

2023-12-13T06:40:43.570528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:40:43.719916image/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.
2023-12-13T06:40:43.839235image/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

순번상호설치장소소재지원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자준비기간공사계획신고일사업개시신고일데이터기준일자
01먹골태양광발전소산서면 동화리603-8,9,10,11,27번지태양광99.82380602009-03-052012-03-042009-05-08<NA>2023-04-11
12수태양광발전소장수읍 송천리 1090-50태양광99.0<NA>602009-09-072010-09-062009-09-242010-01-072023-04-11
23먹골2차태양광발전소산서면 동화리 603-14,15태양광48.18380602010-01-082013-01-122010-01-112010-09-022023-04-11
34동부태양광발전소장수읍 노곡리 산123-34, 909번지태양광99.82<NA>602011-03-162014-03-15<NA>2011-04-142023-04-11
45송산에너지산서면 동화리 832-9 건물상부태양광14.25380602012-03-292015-03-282012-05-072012-06-072023-04-11
56죽산태양광발전소번암면 죽산리 19-1, 19-3 건물상부태양광99.0380602012-04-182015-04-172013-02-272013-03-292023-04-11
67장수태양광발전소1장수읍 대성리 572-1 건물상부(1,2,3동)태양광97.5380602012-09-042015-09-032013-02-042013-03-042023-04-11
78해금강태양광발전소전북 장수군 산서면 사계리 339-17,339-18 건물상부(주1,주2)태양광99.11220/380602013-04-172016-04-162013-10-312013-12-102023-04-11
89진주태양광발전소장수읍 송천리 1090-35태양광49.5380602013-05-022016-05-012014-09-22<NA>2023-04-11
910장수정숙쏠라파크장수읍 송천리 1090-38태양광96.0380602013-05-022016-05-012014-09-22<NA>2023-04-11
순번상호설치장소소재지원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자준비기간공사계획신고일사업개시신고일데이터기준일자
13981399우마2호 태양광발전소계북면 임평리 1086, 1086-1, 1086-3, 1087, 1105, 산117-8, 산117-9, 산117-11태양광1000.022900602017-12-212023-12-20<NA><NA>2023-04-11
13991400지더블유 태양광발전소계북면 임평리 1106, 1106-1, 1106-2, 1107, 1108, 1110, 1112, 산115태양광1000.022900602017-12-212023-12-20<NA><NA>2023-04-11
14001401보성썬 에너지발전소계북면 임평리 산117, 1092-1, 1104, 1104-1태양광1000.022900602017-12-292023-12-28<NA><NA>2023-04-11
14011402혜동발전소천천면 장판리 산50-1, 488, 489, 491, 635, 636, 636-1, 636-2태양광1000.022900602018-04-042024-04-03<NA><NA>2023-04-11
14021403현대글로벌 태양광발전소장계면 금곡리 151-4, 151-5, 산66-1, 산66-4, 산66-7태양광499.32380602018-05-152023-05-13<NA><NA>2023-04-11
14031404HD장수1호 태양광발전소장계면 금곡리 151-4, 151-5, 산66-1, 산66-4, 산66-7태양광998.6422900602018-05-152023-05-13<NA><NA>2023-04-11
14041405이레발전소천천면 장판리 산50-1태양광297.0380602018-05-212024-05-20<NA><NA>2023-04-11
14051406채린3호 태양광발전소천천면 월곡리 18-4, 산106-2, 20-8, 20-9태양광99.19380602018-08-082025-08-06<NA><NA>2023-04-11
14061407일만2호 태양광발전소천천면 월곡리 18-4, 산106-2, 20-8, 20-9태양광99.19380602018-08-082025-08-06<NA><NA>2023-04-11
14071408장대현2호 태양광발전소계북면 매계리 601, 601-4태양광293.76380602018-12-102023-12-09<NA><NA>2023-04-11