Overview

Dataset statistics

Number of variables11
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory94.4 B

Variable types

Numeric3
Categorical6
Text2

Dataset

Description한국지역난방공사의 지사별 보유한 발전기에 대한 정보로 발전기 유형, 발전원 유형, 발전기수, 용량, 시스템 내 등록일자에 대한 정보입니다.
Author한국지역난방공사
URLhttps://www.data.go.kr/data/15124182/fileData.do

Alerts

발전기유형명 is highly overall correlated with 발전기유형코드 and 4 other fieldsHigh correlation
발전원유형명 is highly overall correlated with 발전기유형코드 and 4 other fieldsHigh correlation
발전원유형코드 is highly overall correlated with 발전기유형코드 and 4 other fieldsHigh correlation
지사코드 is highly overall correlated with 지사명 and 1 other fieldsHigh correlation
발전기유형코드 is highly overall correlated with 발전기총용량 and 5 other fieldsHigh correlation
발전기총용량 is highly overall correlated with 발전기유형코드 and 1 other fieldsHigh correlation
지사명 is highly overall correlated with 지사코드 and 4 other fieldsHigh correlation
발전기수 is highly overall correlated with 발전기총용량 and 1 other fieldsHigh correlation
등록일자 is highly overall correlated with 지사코드 and 3 other fieldsHigh correlation
발전기 코드 has unique valuesUnique
발전기총용량 has 33 (35.9%) zerosZeros

Reproduction

Analysis started2023-12-12 23:32:11.957543
Analysis finished2023-12-12 23:32:13.484197
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지사코드
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316.93478
Minimum100
Maximum601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T08:32:13.547100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile202
Q1307
median310
Q3312
95-th percentile447.1
Maximum601
Range501
Interquartile range (IQR)5

Descriptive statistics

Standard deviation79.359635
Coefficient of variation (CV)0.25039737
Kurtosis4.2506897
Mean316.93478
Median Absolute Deviation (MAD)2
Skewness0.66467968
Sum29158
Variance6297.9517
MonotonicityNot monotonic
2023-12-13T08:32:13.649421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
310 15
16.3%
312 13
14.1%
307 11
12.0%
308 9
9.8%
309 7
7.6%
311 7
7.6%
403 6
 
6.5%
401 4
 
4.3%
202 4
 
4.3%
305 3
 
3.3%
Other values (7) 13
14.1%
ValueCountFrequency (%)
100 3
 
3.3%
201 1
 
1.1%
202 4
 
4.3%
204 2
 
2.2%
301 1
 
1.1%
303 1
 
1.1%
305 3
 
3.3%
307 11
12.0%
308 9
9.8%
309 7
7.6%
ValueCountFrequency (%)
601 2
 
2.2%
501 3
 
3.3%
403 6
 
6.5%
401 4
 
4.3%
312 13
14.1%
311 7
7.6%
310 15
16.3%
309 7
7.6%
308 9
9.8%
307 11
12.0%

지사명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size868.0 B
삼송
15 
동탄
13 
화성
11 
파주
9 
판교
7 
Other values (12)
37 

Length

Max length4
Median length2
Mean length2.0652174
Min length2

Unique

Unique3 ?
Unique (%)3.3%

Sample

1st row수원
2nd row청주
3rd row판교
4th row마포
5th row화성

Common Values

ValueCountFrequency (%)
삼송 15
16.3%
동탄 13
14.1%
화성 11
12.0%
파주 9
9.8%
판교 7
7.6%
광교 7
7.6%
양산 6
 
6.5%
대구 4
 
4.3%
강남 4
 
4.3%
수원 3
 
3.3%
Other values (7) 13
14.1%

Length

2023-12-13T08:32:13.790905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
삼송 15
16.3%
동탄 13
14.1%
화성 11
12.0%
파주 9
9.8%
판교 7
7.6%
광교 7
7.6%
양산 6
 
6.5%
강남 4
 
4.3%
대구 4
 
4.3%
수원 3
 
3.3%
Other values (7) 13
14.1%

발전기 코드
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T08:32:14.064190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6956522
Min length1

Characters and Unicode

Total characters340
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st row9
2nd row10
3rd row11
4th row1743
5th row2754
ValueCountFrequency (%)
9 1
 
1.1%
2934 1
 
1.1%
9995 1
 
1.1%
2854 1
 
1.1%
9933 1
 
1.1%
9930 1
 
1.1%
9935 1
 
1.1%
9934 1
 
1.1%
9932 1
 
1.1%
9931 1
 
1.1%
Other values (82) 82
89.1%
2023-12-13T08:32:14.486466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 72
21.2%
2 45
13.2%
8 44
12.9%
1 38
11.2%
4 29
8.5%
3 29
8.5%
7 21
 
6.2%
5 19
 
5.6%
0 17
 
5.0%
6 17
 
5.0%
Other values (2) 9
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
97.4%
Uppercase Letter 9
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 72
21.8%
2 45
13.6%
8 44
13.3%
1 38
11.5%
4 29
8.8%
3 29
8.8%
7 21
 
6.3%
5 19
 
5.7%
0 17
 
5.1%
6 17
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 6
66.7%
Y 3
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 331
97.4%
Latin 9
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
9 72
21.8%
2 45
13.6%
8 44
13.3%
1 38
11.5%
4 29
8.8%
3 29
8.8%
7 21
 
6.3%
5 19
 
5.7%
0 17
 
5.1%
6 17
 
5.1%
Latin
ValueCountFrequency (%)
A 6
66.7%
Y 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 72
21.2%
2 45
13.2%
8 44
12.9%
1 38
11.2%
4 29
8.5%
3 29
8.5%
7 21
 
6.2%
5 19
 
5.6%
0 17
 
5.0%
6 17
 
5.0%
Other values (2) 9
 
2.6%

발전소명
Text

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T08:32:14.765759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.5543478
Min length3

Characters and Unicode

Total characters695
Distinct characters77
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

Unique90 ?
Unique (%)97.8%

Sample

1st row수원태양광
2nd row청주태양광
3rd row판교태양광
4th row난지바이오가스엔진발전기
5th row화성복합CC
ValueCountFrequency (%)
화성열병합 4
 
3.8%
4
 
3.8%
kpx 4
 
3.8%
광교복합st 2
 
1.9%
삼송수전 2
 
1.9%
동탄복합1gt비교 1
 
0.9%
광교복합st비교 1
 
0.9%
광주전남열병합발전기 1
 
0.9%
동탄복합2cc비교 1
 
0.9%
동탄복합1cc비교 1
 
0.9%
Other values (85) 85
80.2%
2023-12-13T08:32:15.189852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 59
 
8.5%
T 45
 
6.5%
교 42
 
6.0%
1 32
 
4.6%
복 31
 
4.5%
열 28
 
4.0%
병 28
 
4.0%
비 28
 
4.0%
C 26
 
3.7%
G 26
 
3.7%
Other values (67) 350
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
67.6%
Uppercase Letter 137
 
19.7%
Decimal Number 54
 
7.8%
Space Separator 14
 
2.0%
Other Punctuation 12
 
1.7%
Dash Punctuation 4
 
0.6%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 59
 
12.6%
교 42
 
8.9%
복 31
 
6.6%
열 28
 
6.0%
병 28
 
6.0%
비 28
 
6.0%
송 20
 
4.3%
광 18
 
3.8%
양 17
 
3.6%
삼 16
 
3.4%
Other values (50) 183
38.9%
Uppercase Letter
ValueCountFrequency (%)
T 45
32.8%
C 26
19.0%
G 26
19.0%
S 17
 
12.4%
P 7
 
5.1%
K 7
 
5.1%
X 7
 
5.1%
L 2
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 32
59.3%
2 20
37.0%
4 1
 
1.9%
3 1
 
1.9%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
# 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
67.6%
Latin 137
 
19.7%
Common 88
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 59
 
12.6%
교 42
 
8.9%
복 31
 
6.6%
열 28
 
6.0%
병 28
 
6.0%
비 28
 
6.0%
송 20
 
4.3%
광 18
 
3.8%
양 17
 
3.6%
삼 16
 
3.4%
Other values (50) 183
38.9%
Common
ValueCountFrequency (%)
1 32
36.4%
2 20
22.7%
14
15.9%
# 12
 
13.6%
- 4
 
4.5%
( 2
 
2.3%
) 2
 
2.3%
4 1
 
1.1%
3 1
 
1.1%
Latin
ValueCountFrequency (%)
T 45
32.8%
C 26
19.0%
G 26
19.0%
S 17
 
12.4%
P 7
 
5.1%
K 7
 
5.1%
X 7
 
5.1%
L 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
67.6%
ASCII 225
32.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 59
 
12.6%
교 42
 
8.9%
복 31
 
6.6%
열 28
 
6.0%
병 28
 
6.0%
비 28
 
6.0%
송 20
 
4.3%
광 18
 
3.8%
양 17
 
3.6%
삼 16
 
3.4%
Other values (50) 183
38.9%
ASCII
ValueCountFrequency (%)
T 45
20.0%
1 32
14.2%
C 26
11.6%
G 26
11.6%
2 20
8.9%
S 17
 
7.6%
14
 
6.2%
# 12
 
5.3%
P 7
 
3.1%
K 7
 
3.1%
Other values (7) 19
8.4%

발전기유형코드
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.25
Minimum22
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T08:32:15.307212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile22
Q123
median24
Q391
95-th percentile94
Maximum94
Range72
Interquartile range (IQR)68

Descriptive statistics

Standard deviation33.298393
Coefficient of variation (CV)0.66265458
Kurtosis-1.8210445
Mean50.25
Median Absolute Deviation (MAD)2
Skewness0.44601377
Sum4623
Variance1108.783
MonotonicityNot monotonic
2023-12-13T08:32:15.443672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
22 21
22.8%
24 16
17.4%
23 13
14.1%
91 10
10.9%
92 10
10.9%
94 9
9.8%
88 7
 
7.6%
31 6
 
6.5%
ValueCountFrequency (%)
22 21
22.8%
23 13
14.1%
24 16
17.4%
31 6
 
6.5%
88 7
 
7.6%
91 10
10.9%
92 10
10.9%
94 9
9.8%
ValueCountFrequency (%)
94 9
9.8%
92 10
10.9%
91 10
10.9%
88 7
 
7.6%
31 6
 
6.5%
24 16
17.4%
23 13
14.1%
22 21
22.8%

발전기유형명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
GT_열공급제약
21 
ST
16 
CC_열공급제약
13 
비중앙급전(일반)
10 
구역전기
10 
Other values (3)
22 

Length

Max length9
Median length8
Mean length5.923913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRPS태양광
2nd rowRPS태양광
3rd rowRPS태양광
4th row비중앙급전(일반)
5th rowCC_열공급제약

Common Values

ValueCountFrequency (%)
GT_열공급제약 21
22.8%
ST 16
17.4%
CC_열공급제약 13
14.1%
비중앙급전(일반) 10
10.9%
구역전기 10
10.9%
신재생 9
9.8%
RPS태양광 7
 
7.6%
유류(OIL) 6
 
6.5%

Length

2023-12-13T08:32:15.603908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:15.737541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gt_열공급제약 21
22.8%
st 16
17.4%
cc_열공급제약 13
14.1%
비중앙급전(일반 10
10.9%
구역전기 10
10.9%
신재생 9
9.8%
rps태양광 7
 
7.6%
유류(oil 6
 
6.5%

발전원유형코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
2
50 
9
36 
4
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9
2nd row9
3rd row9
4th row9
5th row2

Common Values

ValueCountFrequency (%)
2 50
54.3%
9 36
39.1%
4 6
 
6.5%

Length

2023-12-13T08:32:15.865507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:15.956696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 50
54.3%
9 36
39.1%
4 6
 
6.5%

발전원유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
LNG
50 
비중앙
36 
유류
6 

Length

Max length3
Median length3
Mean length2.9347826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비중앙
2nd row비중앙
3rd row비중앙
4th row비중앙
5th rowLNG

Common Values

ValueCountFrequency (%)
LNG 50
54.3%
비중앙 36
39.1%
유류 6
 
6.5%

Length

2023-12-13T08:32:16.058723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:16.148002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lng 50
54.3%
비중앙 36
39.1%
유류 6
 
6.5%

발전기수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
1
67 
0
23 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 67
72.8%
0 23
 
25.0%
2 2
 
2.2%

Length

2023-12-13T08:32:16.242805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:16.342978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
72.8%
0 23
 
25.0%
2 2
 
2.2%

발전기총용량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.75
Minimum0
Maximum516
Zeros33
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T08:32:16.460654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68
Q3161
95-th percentile378
Maximum516
Range516
Interquartile range (IQR)161

Descriptive statistics

Standard deviation133.39198
Coefficient of variation (CV)1.2265929
Kurtosis2.0788738
Mean108.75
Median Absolute Deviation (MAD)68
Skewness1.574319
Sum10005
Variance17793.42
MonotonicityNot monotonic
2023-12-13T08:32:16.576974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 33
35.9%
68 8
 
8.7%
246 4
 
4.3%
378 4
 
4.3%
132 4
 
4.3%
163 4
 
4.3%
78 4
 
4.3%
161 4
 
4.3%
41 2
 
2.2%
42 2
 
2.2%
Other values (14) 23
25.0%
ValueCountFrequency (%)
0 33
35.9%
41 2
 
2.2%
42 2
 
2.2%
43 2
 
2.2%
44 2
 
2.2%
58 1
 
1.1%
61 1
 
1.1%
68 8
 
8.7%
78 4
 
4.3%
103 2
 
2.2%
ValueCountFrequency (%)
516 2
2.2%
512 2
2.2%
378 4
4.3%
327 1
 
1.1%
322 1
 
1.1%
246 4
4.3%
190 2
2.2%
189 2
2.2%
163 4
4.3%
161 4
4.3%

등록일자
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size868.0 B
2014-12-22
22 
2014-12-24
17 
2015-03-10
15 
2017-06-20
12 
2020-02-26
6 
Other values (12)
20 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique7 ?
Unique (%)7.6%

Sample

1st row2014-12-22
2nd row2014-12-22
3rd row2014-12-22
4th row2014-12-22
5th row2014-12-22

Common Values

ValueCountFrequency (%)
2014-12-22 22
23.9%
2014-12-24 17
18.5%
2015-03-10 15
16.3%
2017-06-20 12
13.0%
2020-02-26 6
 
6.5%
2020-03-13 4
 
4.3%
2022-01-17 3
 
3.3%
2023-03-17 2
 
2.2%
2022-03-29 2
 
2.2%
2022-12-29 2
 
2.2%
Other values (7) 7
 
7.6%

Length

2023-12-13T08:32:16.702495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2014-12-22 22
23.9%
2014-12-24 17
18.5%
2015-03-10 15
16.3%
2017-06-20 12
13.0%
2020-02-26 6
 
6.5%
2020-03-13 4
 
4.3%
2022-01-17 3
 
3.3%
2022-12-29 2
 
2.2%
2022-03-29 2
 
2.2%
2023-03-17 2
 
2.2%
Other values (7) 7
 
7.6%

Interactions

2023-12-13T08:32:13.007752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:12.530141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:12.756293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:13.078340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:12.606138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:12.835771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:13.171664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:12.685940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:12.925323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:32:16.822031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지사코드지사명발전기 코드발전소명발전기유형코드발전기유형명발전원유형코드발전원유형명발전기수발전기총용량등록일자
지사코드1.0001.0001.0001.0000.7690.5980.7690.7690.7640.0000.832
지사명1.0001.0001.0001.0000.9090.8310.9090.9090.6570.6810.900
발전기 코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
발전소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.000
발전기유형코드0.7690.9091.0001.0001.0001.0001.0001.0000.7630.6130.744
발전기유형명0.5980.8311.0001.0001.0001.0001.0001.0000.6950.8380.815
발전원유형코드0.7690.9091.0001.0001.0001.0001.0001.0000.7630.6130.744
발전원유형명0.7690.9091.0001.0001.0001.0001.0001.0000.7630.6130.744
발전기수0.7640.6571.0001.0000.7630.6950.7630.7631.0000.8650.567
발전기총용량0.0000.6811.0001.0000.6130.8380.6130.6130.8651.0000.758
등록일자0.8320.9001.0000.0000.7440.8150.7440.7440.5670.7581.000
2023-12-13T08:32:17.006289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일자발전기유형명발전원유형명지사명발전기수발전원유형코드
등록일자1.0000.4870.5100.4260.3380.510
발전기유형명0.4871.0000.9720.5090.5640.972
발전원유형명0.5100.9721.0000.7400.4211.000
지사명0.4260.5090.7401.0000.4190.740
발전기수0.3380.5640.4210.4191.0000.421
발전원유형코드0.5100.9721.0000.7400.4211.000
2023-12-13T08:32:17.111708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지사코드발전기유형코드발전기총용량지사명발전기유형명발전원유형코드발전원유형명발전기수등록일자
지사코드1.000-0.0860.0780.9340.3800.4390.4390.4350.544
발전기유형코드-0.0861.000-0.7330.7400.9721.0001.0000.4210.510
발전기총용량0.078-0.7331.0000.3440.4280.4680.4680.8010.418
지사명0.9340.7400.3441.0000.5090.7400.7400.4190.426
발전기유형명0.3800.9720.4280.5091.0000.9720.9720.5640.487
발전원유형코드0.4391.0000.4680.7400.9721.0001.0000.4210.510
발전원유형명0.4391.0000.4680.7400.9721.0001.0000.4210.510
발전기수0.4350.4210.8010.4190.5640.4210.4211.0000.338
등록일자0.5440.5100.4180.4260.4870.5100.5100.3381.000

Missing values

2023-12-13T08:32:13.276336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:32:13.428608image/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

지사코드지사명발전기 코드발전소명발전기유형코드발전기유형명발전원유형코드발전원유형명발전기수발전기총용량등록일자
0305수원9수원태양광88RPS태양광9비중앙002014-12-22
1501청주10청주태양광88RPS태양광9비중앙002014-12-22
2309판교11판교태양광88RPS태양광9비중앙002014-12-22
3204마포1743난지바이오가스엔진발전기91비중앙급전(일반)9비중앙002014-12-22
4307화성2754화성복합CC23CC_열공급제약2LNG15122014-12-22
5309판교2871판교복합CC23CC_열공급제약2LNG11462014-12-22
6308파주2883파주복합CC23CC_열공급제약2LNG15162014-12-22
7311광교2993광교복합CC23CC_열공급제약2LNG11452014-12-22
8501청주4091청주열병합31유류(OIL)4유류1582014-12-22
9305수원4101수원열병합31유류(OIL)4유류1432014-12-22
지사코드지사명발전기 코드발전소명발전기유형코드발전기유형명발전원유형코드발전원유형명발전기수발전기총용량등록일자
82100본사AY47제2강릉태양광94신재생9비중앙002022-01-17
83100본사AY49제4강릉태양광94신재생9비중앙002022-01-17
84307화성2753화성열병합GT#222GT_열공급제약2LNG002022-03-29
85307화성2752화성열병합GT#122GT_열공급제약2LNG002022-03-29
86311광교2996광교복합ST24ST2LNG102022-03-30
87403양산7276양산열병합1GT22GT_열공급제약2LNG1782022-12-29
88403양산7275양산열병합CC23CC_열공급제약2LNG11192022-12-29
89403양산7277양산열병합1ST24ST2LNG1412023-02-06
90403양산9276양산열병합1GT비교22GT_열공급제약2LNG1782023-03-17
91403양산9277양산열병합1ST비교24ST2LNG1412023-03-17