Overview

Dataset statistics

Number of variables12
Number of observations4564
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory441.4 KiB
Average record size in memory99.0 B

Variable types

Numeric3
Text3
Categorical4
DateTime2

Dataset

Description김제시 태양광 현황에 대한 데이터로 상호, 영업구분, 원동력의 종류, 설비용량, 공급전압, 주파수, 허가일자, 사업구역, 지목, 사업개시일을 제공합니다.
Author전북특별자치도 김제시
URLhttps://www.data.go.kr/data/15069152/fileData.do

Alerts

영업구분 has constant value ""Constant
원동력의종류 has constant value ""Constant
기준일자 has constant value ""Constant
공급전압(V) is highly imbalanced (84.0%)Imbalance
주파수(Hz) is highly skewed (γ1 = 34.15982797)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:37:40.157614
Analysis finished2024-04-21 01:37:43.657403
Duration3.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct4564
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2282.5
Minimum1
Maximum4564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.2 KiB
2024-04-21T10:37:43.726823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile229.15
Q11141.75
median2282.5
Q33423.25
95-th percentile4335.85
Maximum4564
Range4563
Interquartile range (IQR)2281.5

Descriptive statistics

Standard deviation1317.6576
Coefficient of variation (CV)0.57728703
Kurtosis-1.2
Mean2282.5
Median Absolute Deviation (MAD)1141
Skewness0
Sum10417330
Variance1736221.7
MonotonicityStrictly increasing
2024-04-21T10:37:43.858817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3043 1
 
< 0.1%
3049 1
 
< 0.1%
3048 1
 
< 0.1%
3047 1
 
< 0.1%
3046 1
 
< 0.1%
3045 1
 
< 0.1%
3044 1
 
< 0.1%
3042 1
 
< 0.1%
3051 1
 
< 0.1%
Other values (4554) 4554
99.8%
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 (%)
4564 1
< 0.1%
4563 1
< 0.1%
4562 1
< 0.1%
4561 1
< 0.1%
4560 1
< 0.1%
4559 1
< 0.1%
4558 1
< 0.1%
4557 1
< 0.1%
4556 1
< 0.1%
4555 1
< 0.1%

상호
Text

Distinct4152
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2024-04-21T10:37:44.071184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length19
Mean length8.082603
Min length2

Characters and Unicode

Total characters36889
Distinct characters539
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3854 ?
Unique (%)84.4%

Sample

1st row원전2호태양광발전소
2nd row원전태양광발전소
3rd row일흥1호태양광발전소
4th row태종발전소
5th row매산공2호태양광발전소
ValueCountFrequency (%)
태양광발전소 53
 
1.1%
행복태양광발전소 9
 
0.2%
한빛태양광발전소 6
 
0.1%
소망태양광발전소 6
 
0.1%
발전소 6
 
0.1%
희망태양광발전소 6
 
0.1%
용지태양광발전소 5
 
0.1%
사랑태양광발전소 5
 
0.1%
지평선태양광발전소 5
 
0.1%
해바라기태양광발전소 5
 
0.1%
Other values (4152) 4544
97.7%
2024-04-21T10:37:44.472318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4299
 
11.7%
4246
 
11.5%
4194
 
11.4%
3120
 
8.5%
3106
 
8.4%
3083
 
8.4%
1443
 
3.9%
2 582
 
1.6%
1 565
 
1.5%
357
 
1.0%
Other values (529) 11894
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34494
93.5%
Decimal Number 1769
 
4.8%
Uppercase Letter 392
 
1.1%
Space Separator 86
 
0.2%
Lowercase Letter 85
 
0.2%
Close Punctuation 15
 
< 0.1%
Open Punctuation 15
 
< 0.1%
Dash Punctuation 15
 
< 0.1%
Other Punctuation 14
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4299
12.5%
4246
12.3%
4194
12.2%
3120
 
9.0%
3106
 
9.0%
3083
 
8.9%
1443
 
4.2%
357
 
1.0%
266
 
0.8%
258
 
0.7%
Other values (476) 10122
29.3%
Uppercase Letter
ValueCountFrequency (%)
S 75
19.1%
J 47
12.0%
K 35
8.9%
H 29
 
7.4%
N 25
 
6.4%
Y 22
 
5.6%
M 22
 
5.6%
O 20
 
5.1%
E 19
 
4.8%
B 15
 
3.8%
Other values (13) 83
21.2%
Lowercase Letter
ValueCountFrequency (%)
o 17
20.0%
r 15
17.6%
l 15
17.6%
a 13
15.3%
s 12
14.1%
e 4
 
4.7%
n 3
 
3.5%
w 2
 
2.4%
m 1
 
1.2%
t 1
 
1.2%
Other values (2) 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 582
32.9%
1 565
31.9%
3 262
14.8%
4 109
 
6.2%
5 88
 
5.0%
6 61
 
3.4%
7 41
 
2.3%
8 30
 
1.7%
9 17
 
1.0%
0 14
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 6
42.9%
& 6
42.9%
/ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34497
93.5%
Common 1914
 
5.2%
Latin 477
 
1.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4299
12.5%
4246
12.3%
4194
12.2%
3120
 
9.0%
3106
 
9.0%
3083
 
8.9%
1443
 
4.2%
357
 
1.0%
266
 
0.8%
258
 
0.7%
Other values (476) 10125
29.4%
Latin
ValueCountFrequency (%)
S 75
15.7%
J 47
 
9.9%
K 35
 
7.3%
H 29
 
6.1%
N 25
 
5.2%
Y 22
 
4.6%
M 22
 
4.6%
O 20
 
4.2%
E 19
 
4.0%
o 17
 
3.6%
Other values (25) 166
34.8%
Common
ValueCountFrequency (%)
2 582
30.4%
1 565
29.5%
3 262
13.7%
4 109
 
5.7%
5 88
 
4.6%
86
 
4.5%
6 61
 
3.2%
7 41
 
2.1%
8 30
 
1.6%
9 17
 
0.9%
Other values (7) 73
 
3.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34493
93.5%
ASCII 2391
 
6.5%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4299
12.5%
4246
12.3%
4194
12.2%
3120
 
9.0%
3106
 
9.0%
3083
 
8.9%
1443
 
4.2%
357
 
1.0%
266
 
0.8%
258
 
0.7%
Other values (475) 10121
29.3%
ASCII
ValueCountFrequency (%)
2 582
24.3%
1 565
23.6%
3 262
11.0%
4 109
 
4.6%
5 88
 
3.7%
86
 
3.6%
S 75
 
3.1%
6 61
 
2.6%
J 47
 
2.0%
7 41
 
1.7%
Other values (42) 475
19.9%
None
ValueCountFrequency (%)
4
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
사업개시
4564 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업개시 4564
100.0%

Length

2024-04-21T10:37:44.606217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:37:44.695390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업개시 4564
100.0%

원동력의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
태양광
4564 

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 4564
100.0%

Length

2024-04-21T10:37:44.780519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:37:44.856374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
태양광 4564
100.0%

설비용량(KW)
Real number (ℝ)

Distinct786
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.55272
Minimum3.06
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.2 KiB
2024-04-21T10:37:44.954527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.06
5-th percentile19.88
Q198.21
median99.11
Q399.45
95-th percentile401.721
Maximum1000
Range996.94
Interquartile range (IQR)1.24

Descriptive statistics

Standard deviation134.59179
Coefficient of variation (CV)1.080601
Kurtosis19.285767
Mean124.55272
Median Absolute Deviation (MAD)0.56
Skewness4.0733424
Sum568458.63
Variance18114.951
MonotonicityNot monotonic
2024-04-21T10:37:45.096184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 615
 
13.5%
99.45 298
 
6.5%
99.28 176
 
3.9%
99.36 170
 
3.7%
99.9 126
 
2.8%
99.6 119
 
2.6%
99.16 116
 
2.5%
98.28 98
 
2.1%
98.55 95
 
2.1%
99.4 85
 
1.9%
Other values (776) 2666
58.4%
ValueCountFrequency (%)
3.06 1
 
< 0.1%
8.16 3
0.1%
9.0 3
0.1%
9.6 1
 
< 0.1%
9.9 1
 
< 0.1%
10.0 2
< 0.1%
10.12 1
 
< 0.1%
10.8 1
 
< 0.1%
11.52 1
 
< 0.1%
11.76 1
 
< 0.1%
ValueCountFrequency (%)
1000.0 1
 
< 0.1%
999.64 1
 
< 0.1%
999.6 1
 
< 0.1%
999.33 1
 
< 0.1%
999.24 1
 
< 0.1%
999.0 9
0.2%
998.4 2
 
< 0.1%
998.27 1
 
< 0.1%
998.0 1
 
< 0.1%
997.92 2
 
< 0.1%

공급전압(V)
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
380
4239 
220/380
 
161
22,900
 
74
220
 
58
22900
 
19
Other values (4)
 
13

Length

Max length7
Median length3
Mean length3.2077125
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row380
2nd row380
3rd row380
4th row220/380
5th row220

Common Values

ValueCountFrequency (%)
380 4239
92.9%
220/380 161
 
3.5%
22,900 74
 
1.6%
220 58
 
1.3%
22900 19
 
0.4%
380/220 9
 
0.2%
220/308 2
 
< 0.1%
390 1
 
< 0.1%
360 1
 
< 0.1%

Length

2024-04-21T10:37:45.237155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:37:45.353966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
380 4239
92.9%
220/380 161
 
3.5%
22,900 74
 
1.6%
220 58
 
1.3%
22900 19
 
0.4%
380/220 9
 
0.2%
220/308 2
 
< 0.1%
390 1
 
< 0.1%
360 1
 
< 0.1%

주파수(Hz)
Real number (ℝ)

SKEWED 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.304777
Minimum6
Maximum492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.2 KiB
2024-04-21T10:37:45.462008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile60
Q160
median60
Q360
95-th percentile60
Maximum492
Range486
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.485822
Coefficient of variation (CV)0.17388045
Kurtosis1206.1101
Mean60.304777
Median Absolute Deviation (MAD)0
Skewness34.159828
Sum275231
Variance109.95246
MonotonicityNot monotonic
2024-04-21T10:37:45.579088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
60 4556
99.8%
380 2
 
< 0.1%
90 1
 
< 0.1%
40 1
 
< 0.1%
99 1
 
< 0.1%
384 1
 
< 0.1%
492 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
40 1
 
< 0.1%
60 4556
99.8%
90 1
 
< 0.1%
99 1
 
< 0.1%
380 2
 
< 0.1%
384 1
 
< 0.1%
492 1
 
< 0.1%
ValueCountFrequency (%)
492 1
 
< 0.1%
384 1
 
< 0.1%
380 2
 
< 0.1%
99 1
 
< 0.1%
90 1
 
< 0.1%
60 4556
99.8%
40 1
 
< 0.1%
6 1
 
< 0.1%
Distinct618
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
Minimum2005-11-16 00:00:00
Maximum2024-01-16 00:00:00
2024-04-21T10:37:45.701109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:45.829340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct4418
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2024-04-21T10:37:46.125795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length67
Mean length18.381902
Min length5

Characters and Unicode

Total characters83895
Distinct characters174
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

Unique4324 ?
Unique (%)94.7%

Sample

1st row봉남면 종덕리 331-1
2nd row봉남면 종덕리 345-1, 348-1 (주1 건물상부)
3rd row요촌동 182-18 (주1 건물상부)
4th row황산동 433-1 (주1 건물상부)
5th row황산면 쌍감리 543-3 (주1 부1 건물상부)
ValueCountFrequency (%)
용지면 606
 
3.7%
봉남면 370
 
2.3%
백산면 353
 
2.2%
황산면 316
 
1.9%
건물상부 288
 
1.8%
공덕면 288
 
1.8%
금산면 272
 
1.7%
죽산면 241
 
1.5%
성덕면 234
 
1.4%
만경읍 190
 
1.2%
Other values (6225) 13156
80.6%
2024-04-21T10:37:46.809912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11762
 
14.0%
- 6412
 
7.6%
1 5675
 
6.8%
2 4136
 
4.9%
3 3629
 
4.3%
3453
 
4.1%
4 3433
 
4.1%
, 3388
 
4.0%
3281
 
3.9%
5 3173
 
3.8%
Other values (164) 35553
42.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31477
37.5%
Other Letter 29015
34.6%
Space Separator 11762
 
14.0%
Dash Punctuation 6412
 
7.6%
Other Punctuation 3404
 
4.1%
Close Punctuation 889
 
1.1%
Open Punctuation 888
 
1.1%
Uppercase Letter 20
 
< 0.1%
Lowercase Letter 16
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3453
 
11.9%
3281
 
11.3%
1695
 
5.8%
1362
 
4.7%
1240
 
4.3%
1127
 
3.9%
1117
 
3.8%
993
 
3.4%
992
 
3.4%
697
 
2.4%
Other values (140) 13058
45.0%
Decimal Number
ValueCountFrequency (%)
1 5675
18.0%
2 4136
13.1%
3 3629
11.5%
4 3433
10.9%
5 3173
10.1%
6 2755
8.8%
7 2585
8.2%
9 2112
 
6.7%
8 2109
 
6.7%
0 1870
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 3388
99.5%
. 14
 
0.4%
: 1
 
< 0.1%
" 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
W 18
90.0%
K 2
 
10.0%
Other Symbol
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
11762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 889
100.0%
Open Punctuation
ValueCountFrequency (%)
( 888
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54843
65.4%
Hangul 29016
34.6%
Latin 36
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3453
 
11.9%
3281
 
11.3%
1695
 
5.8%
1362
 
4.7%
1240
 
4.3%
1127
 
3.9%
1117
 
3.8%
993
 
3.4%
992
 
3.4%
697
 
2.4%
Other values (141) 13059
45.0%
Common
ValueCountFrequency (%)
11762
21.4%
- 6412
11.7%
1 5675
10.3%
2 4136
 
7.5%
3 3629
 
6.6%
4 3433
 
6.3%
, 3388
 
6.2%
5 3173
 
5.8%
6 2755
 
5.0%
7 2585
 
4.7%
Other values (10) 7895
14.4%
Latin
ValueCountFrequency (%)
W 18
50.0%
k 16
44.4%
K 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54875
65.4%
Hangul 29015
34.6%
CJK Compat 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11762
21.4%
- 6412
11.7%
1 5675
10.3%
2 4136
 
7.5%
3 3629
 
6.6%
4 3433
 
6.3%
, 3388
 
6.2%
5 3173
 
5.8%
6 2755
 
5.0%
7 2585
 
4.7%
Other values (12) 7927
14.4%
Hangul
ValueCountFrequency (%)
3453
 
11.9%
3281
 
11.3%
1695
 
5.8%
1362
 
4.7%
1240
 
4.3%
1127
 
3.9%
1117
 
3.8%
993
 
3.4%
992
 
3.4%
697
 
2.4%
Other values (140) 13058
45.0%
CJK Compat
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
1
100.0%

지목
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
1531 
1207 
건축물
973 
기타
567 
임야
285 

Length

Max length6
Median length1
Mean length1.6141543
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row기타
2nd row건축물
3rd row건축물
4th row건축물
5th row건축물

Common Values

ValueCountFrequency (%)
1531
33.5%
1207
26.4%
건축물 973
21.3%
기타 567
 
12.4%
임야 285
 
6.2%
데이터미집계 1
 
< 0.1%

Length

2024-04-21T10:37:46.941308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:37:47.043384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1531
33.5%
1207
26.4%
건축물 973
21.3%
기타 567
 
12.4%
임야 285
 
6.2%
데이터미집계 1
 
< 0.1%
Distinct1299
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
2024-04-21T10:37:47.344630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9991236
Min length6

Characters and Unicode

Total characters45636
Distinct characters17
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

Unique537 ?
Unique (%)11.8%

Sample

1st row2024-03-21
2nd row2024-03-21
3rd row2024-03-08
4th row2023-12-21
5th row2024-02-02
ValueCountFrequency (%)
2019-10-10 56
 
1.2%
2019-12-23 44
 
1.0%
2019-12-16 35
 
0.8%
2023-11-14 34
 
0.7%
2019-11-11 32
 
0.7%
2018-06-18 32
 
0.7%
2024-01-03 28
 
0.6%
2020-12-18 27
 
0.6%
2021-12-13 26
 
0.6%
2020-06-10 26
 
0.6%
Other values (1289) 4224
92.6%
2024-04-21T10:37:47.768884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10534
23.1%
2 9559
20.9%
- 9126
20.0%
1 7856
17.2%
9 1969
 
4.3%
3 1508
 
3.3%
8 1195
 
2.6%
6 1080
 
2.4%
4 1060
 
2.3%
5 881
 
1.9%
Other values (7) 868
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36504
80.0%
Dash Punctuation 9126
 
20.0%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10534
28.9%
2 9559
26.2%
1 7856
21.5%
9 1969
 
5.4%
3 1508
 
4.1%
8 1195
 
3.3%
6 1080
 
3.0%
4 1060
 
2.9%
5 881
 
2.4%
7 862
 
2.4%
Other Letter
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 9126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45630
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10534
23.1%
2 9559
20.9%
- 9126
20.0%
1 7856
17.2%
9 1969
 
4.3%
3 1508
 
3.3%
8 1195
 
2.6%
6 1080
 
2.4%
4 1060
 
2.3%
5 881
 
1.9%
Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45630
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10534
23.1%
2 9559
20.9%
- 9126
20.0%
1 7856
17.2%
9 1969
 
4.3%
3 1508
 
3.3%
8 1195
 
2.6%
6 1080
 
2.4%
4 1060
 
2.3%
5 881
 
1.9%
Hangul
ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size35.8 KiB
Minimum2024-04-08 00:00:00
Maximum2024-04-08 00:00:00
2024-04-21T10:37:47.952501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:48.078078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T10:37:43.130413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:42.569512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:42.869286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:43.236874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:42.709661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:42.952620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:43.324995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:42.790626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:37:43.030066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:37:48.164689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(KW)공급전압(V)주파수(Hz)지목
순번1.0000.3560.4200.0000.437
설비용량(KW)0.3561.0000.5890.1470.136
공급전압(V)0.4200.5891.0000.1370.297
주파수(Hz)0.0000.1470.1371.0000.019
지목0.4370.1360.2970.0191.000
2024-04-21T10:37:48.263935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목공급전압(V)
지목1.0000.152
공급전압(V)0.1521.000
2024-04-21T10:37:48.339193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설비용량(KW)주파수(Hz)공급전압(V)지목
순번1.000-0.0990.0030.2060.247
설비용량(KW)-0.0991.0000.0100.3160.071
주파수(Hz)0.0030.0101.0000.0880.012
공급전압(V)0.2060.3160.0881.0000.152
지목0.2470.0710.0120.1521.000

Missing values

2024-04-21T10:37:43.440210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:37:43.589584image/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

순번상호영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자사업구역지목사업개시일자기준일자
01원전2호태양광발전소사업개시태양광17.85380602024-01-16봉남면 종덕리 331-1기타2024-03-212024-04-08
12원전태양광발전소사업개시태양광19.64380602023-12-29봉남면 종덕리 345-1, 348-1 (주1 건물상부)건축물2024-03-212024-04-08
23일흥1호태양광발전소사업개시태양광19.5380602023-12-29요촌동 182-18 (주1 건물상부)건축물2024-03-082024-04-08
34태종발전소사업개시태양광19.36220/380602023-11-22황산동 433-1 (주1 건물상부)건축물2023-12-212024-04-08
45매산공2호태양광발전소사업개시태양광19.8220602023-11-22황산면 쌍감리 543-3 (주1 부1 건물상부)건축물2024-02-022024-04-08
56윤범태양광발전소2호사업개시태양광42.84380602023-10-31봉남면 신응리 53 (건물상부)건축물2024-03-132024-04-08
67주산1호태양광발전소사업개시태양광19.8380602023-10-31백구면 부용리 122-2 (주1 건물상부)건축물2024-03-282024-04-08
78주산2호태양광발전소사업개시태양광19.8380602023-10-31백구면 부용리 122-2기타2024-03-282024-04-08
89모악산농장5호태양광발전소사업개시태양광19.64380602023-10-17금산면 쌍용리 296-8 (주1 건물상부)건축물2024-01-082024-04-08
910유영조태양광발전소사업개시태양광38.68380602023-10-17황산면 남산리 371-27 (주1 건물상부)건축물2024-01-192024-04-08
순번상호영업구분원동력의종류설비용량(KW)공급전압(V)주파수(Hz)허가일자사업구역지목사업개시일자기준일자
45544555(유)금성썬에너지사업개시태양광1000.022900602007-09-10명덕동 161-2임야2008-05-132024-04-08
45554556만경태양광발전소사업개시태양광300.0220/380602007-08-08만경읍 몽산리 287-1, 287-22008-01-122024-04-08
45564557대전기업 태양광발전소사업개시태양광28.08380602007-06-13백구면 백구리 200-1기타2008-06-172024-04-08
45574558원평새마을금고태양광발전소(원평새마을금고태양광발전소)사업개시태양광29.4380602007-05-18금산면 원평리 2-6기타2007-08-102024-04-08
45584559H&E 파워플랜트사업개시태양광458.04220/380602007-05-10입석동 3992008-05-302024-04-08
45594560파인파워플랜트사업개시태양광399.99380602007-05-10입석동 400임야2008-05-302024-04-08
45604561월드프라자태양광발전소사업개시태양광499.96380602007-01-03황산면 남산리 760-2, 760-3임야2008-04-242024-04-08
45614562원평새마을금고태양광발전소사업개시태양광29.4380602007-05-18금산면 원평리 2-6(건물상부)건축물2007-08-102024-04-08
45624563황산태양광발전소사업개시태양광96.0380602006-03-09황산면 진흥리199,1982008-01-232024-04-08
45634564주식회사에너파크사업개시태양광992.9622900602005-11-16황산면 쌍감리 3-138, 3-139임야2006-09-282024-04-08