Overview

Dataset statistics

Number of variables9
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.3 KiB
Average record size in memory79.4 B

Variable types

Categorical2
DateTime1
Numeric6

Dataset

Description한국남동발전의 연료 소비 실적 자료입니다. 유연탄, 아역청탄, 등유, 액화천연가스, 우드팰릿 등의 소비 실적을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15060654/fileData.do

Alerts

무연탄 has constant value ""Constant
유연탄 is highly overall correlated with 계(석탄) and 2 other fieldsHigh correlation
계(석탄) is highly overall correlated with 유연탄 and 2 other fieldsHigh correlation
유류 is highly overall correlated with 유연탄 and 1 other fieldsHigh correlation
고형연료 is highly overall correlated with 유연탄 and 1 other fieldsHigh correlation
유연탄 has 264 (88.0%) zerosZeros
계(석탄) has 264 (88.0%) zerosZeros
유류 has 255 (85.0%) zerosZeros
액화천연가스(LNG) has 252 (84.0%) zerosZeros
고형연료 has 289 (96.3%) zerosZeros
우드펠릿 has 288 (96.0%) zerosZeros

Reproduction

Analysis started2023-12-12 04:33:15.192008
Analysis finished2023-12-12 04:33:20.065035
Duration4.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업소
Categorical

Distinct25
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
경상대태양광
 
12
광양항세방태양광
 
12
구미태양광
 
12
군위 화산풍력
 
12
두산엔진MG태양광
 
12
Other values (20)
240 

Length

Max length9
Median length7
Mean length5.48
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상대태양광
2nd row광양항세방태양광
3rd row구미태양광
4th row군위 화산풍력
5th row두산엔진MG태양광

Common Values

ValueCountFrequency (%)
경상대태양광 12
 
4.0%
광양항세방태양광 12
 
4.0%
구미태양광 12
 
4.0%
군위 화산풍력 12
 
4.0%
두산엔진MG태양광 12
 
4.0%
분당연료전지 12
 
4.0%
분당화력 12
 
4.0%
삼천포 12
 
4.0%
삼천포태양광 12
 
4.0%
삼천포태양광#5 12
 
4.0%
Other values (15) 180
60.0%

Length

2023-12-12T13:33:20.139279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영흥태양광 24
 
7.4%
경상대태양광 12
 
3.7%
광양항세방태양광 12
 
3.7%
예천태양광 12
 
3.7%
영흥풍력 12
 
3.7%
영흥태양광#5 12
 
3.7%
3 12
 
3.7%
영흥 12
 
3.7%
영동태양광 12
 
3.7%
영동 12
 
3.7%
Other values (16) 192
59.3%

년월
Date

Distinct12
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T13:33:20.259956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:20.382910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

유연탄
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55237.067
Minimum0
Maximum1105788
Zeros264
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T13:33:20.525602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile445234.4
Maximum1105788
Range1105788
Interquartile range (IQR)0

Descriptive statistics

Standard deviation181409.31
Coefficient of variation (CV)3.2841952
Kurtosis13.608183
Mean55237.067
Median Absolute Deviation (MAD)0
Skewness3.7081881
Sum16571120
Variance3.2909338 × 1010
MonotonicityNot monotonic
2023-12-12T13:33:20.664105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 264
88.0%
258565 1
 
0.3%
808637 1
 
0.3%
359195 1
 
0.3%
81027 1
 
0.3%
813041 1
 
0.3%
431085 1
 
0.3%
143144 1
 
0.3%
737018 1
 
0.3%
128530 1
 
0.3%
Other values (27) 27
 
9.0%
ValueCountFrequency (%)
0 264
88.0%
81027 1
 
0.3%
85896 1
 
0.3%
113817 1
 
0.3%
128530 1
 
0.3%
137327 1
 
0.3%
143144 1
 
0.3%
158314 1
 
0.3%
164485 1
 
0.3%
165424 1
 
0.3%
ValueCountFrequency (%)
1105788 1
0.3%
957021 1
0.3%
928686 1
0.3%
925628 1
0.3%
863355 1
0.3%
813041 1
0.3%
808637 1
0.3%
795766 1
0.3%
737018 1
0.3%
672085 1
0.3%

무연탄
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T13:33:20.793779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:33:20.899229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

계(석탄)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55237.067
Minimum0
Maximum1105788
Zeros264
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T13:33:21.016170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile445234.4
Maximum1105788
Range1105788
Interquartile range (IQR)0

Descriptive statistics

Standard deviation181409.31
Coefficient of variation (CV)3.2841952
Kurtosis13.608183
Mean55237.067
Median Absolute Deviation (MAD)0
Skewness3.7081881
Sum16571120
Variance3.2909338 × 1010
MonotonicityNot monotonic
2023-12-12T13:33:21.156368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 264
88.0%
258565 1
 
0.3%
808637 1
 
0.3%
359195 1
 
0.3%
81027 1
 
0.3%
813041 1
 
0.3%
431085 1
 
0.3%
143144 1
 
0.3%
737018 1
 
0.3%
128530 1
 
0.3%
Other values (27) 27
 
9.0%
ValueCountFrequency (%)
0 264
88.0%
81027 1
 
0.3%
85896 1
 
0.3%
113817 1
 
0.3%
128530 1
 
0.3%
137327 1
 
0.3%
143144 1
 
0.3%
158314 1
 
0.3%
164485 1
 
0.3%
165424 1
 
0.3%
ValueCountFrequency (%)
1105788 1
0.3%
957021 1
0.3%
928686 1
0.3%
925628 1
0.3%
863355 1
0.3%
813041 1
0.3%
808637 1
0.3%
795766 1
0.3%
737018 1
0.3%
672085 1
0.3%

유류
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct45
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.38333
Minimum0
Maximum3596
Zeros255
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T13:33:21.295944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile911.05
Maximum3596
Range3596
Interquartile range (IQR)0

Descriptive statistics

Standard deviation462.96707
Coefficient of variation (CV)3.5237885
Kurtosis27.979915
Mean131.38333
Median Absolute Deviation (MAD)0
Skewness4.9525898
Sum39415
Variance214338.51
MonotonicityNot monotonic
2023-12-12T13:33:21.435681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 255
85.0%
506 2
 
0.7%
182 1
 
0.3%
781 1
 
0.3%
279 1
 
0.3%
639 1
 
0.3%
807 1
 
0.3%
1865 1
 
0.3%
1215 1
 
0.3%
3596 1
 
0.3%
Other values (35) 35
 
11.7%
ValueCountFrequency (%)
0 255
85.0%
4 1
 
0.3%
41 1
 
0.3%
55 1
 
0.3%
58 1
 
0.3%
96 1
 
0.3%
97 1
 
0.3%
135 1
 
0.3%
171 1
 
0.3%
182 1
 
0.3%
ValueCountFrequency (%)
3596 1
0.3%
3474 1
0.3%
2927 1
0.3%
2539 1
0.3%
2439 1
0.3%
1865 1
0.3%
1834 1
0.3%
1215 1
0.3%
1154 1
0.3%
1083 1
0.3%

액화천연가스(LNG)
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1768.4467
Minimum0
Maximum90502
Zeros252
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T13:33:21.597667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4077.85
Maximum90502
Range90502
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9329.8373
Coefficient of variation (CV)5.2757245
Kurtosis57.960251
Mean1768.4467
Median Absolute Deviation (MAD)0
Skewness7.3008289
Sum530534
Variance87045865
MonotonicityNot monotonic
2023-12-12T13:33:21.768261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 252
84.0%
183 2
 
0.7%
3594 1
 
0.3%
205 1
 
0.3%
1245 1
 
0.3%
4151 1
 
0.3%
19305 1
 
0.3%
209 1
 
0.3%
1276 1
 
0.3%
3849 1
 
0.3%
Other values (38) 38
 
12.7%
ValueCountFrequency (%)
0 252
84.0%
139 1
 
0.3%
183 2
 
0.7%
202 1
 
0.3%
204 1
 
0.3%
205 1
 
0.3%
209 1
 
0.3%
236 1
 
0.3%
242 1
 
0.3%
243 1
 
0.3%
ValueCountFrequency (%)
90502 1
0.3%
81891 1
0.3%
72034 1
0.3%
50285 1
0.3%
32733 1
0.3%
30012 1
0.3%
24933 1
0.3%
24678 1
0.3%
19305 1
0.3%
18438 1
0.3%

고형연료
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.82667
Minimum0
Maximum4361
Zeros289
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T13:33:21.957385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4361
Range4361
Interquartile range (IQR)0

Descriptive statistics

Standard deviation658.4858
Coefficient of variation (CV)5.233277
Kurtosis26.361845
Mean125.82667
Median Absolute Deviation (MAD)0
Skewness5.2320333
Sum37748
Variance433603.56
MonotonicityNot monotonic
2023-12-12T13:33:22.112146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 289
96.3%
4361 1
 
0.3%
4071 1
 
0.3%
3046 1
 
0.3%
3312 1
 
0.3%
4094 1
 
0.3%
4006 1
 
0.3%
3760 1
 
0.3%
3077 1
 
0.3%
2129 1
 
0.3%
Other values (2) 2
 
0.7%
ValueCountFrequency (%)
0 289
96.3%
2129 1
 
0.3%
2590 1
 
0.3%
3046 1
 
0.3%
3077 1
 
0.3%
3302 1
 
0.3%
3312 1
 
0.3%
3760 1
 
0.3%
4006 1
 
0.3%
4071 1
 
0.3%
ValueCountFrequency (%)
4361 1
0.3%
4094 1
0.3%
4071 1
0.3%
4006 1
0.3%
3760 1
0.3%
3312 1
0.3%
3302 1
0.3%
3077 1
0.3%
3046 1
0.3%
2590 1
0.3%

우드펠릿
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3186.1333
Minimum0
Maximum126143
Zeros288
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T13:33:22.239470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum126143
Range126143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16450.824
Coefficient of variation (CV)5.1632566
Kurtosis30.585452
Mean3186.1333
Median Absolute Deviation (MAD)0
Skewness5.4753531
Sum955840
Variance2.7062961 × 108
MonotonicityNot monotonic
2023-12-12T13:33:22.361880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 288
96.0%
116596 1
 
0.3%
99820 1
 
0.3%
126143 1
 
0.3%
58254 1
 
0.3%
105105 1
 
0.3%
81063 1
 
0.3%
61607 1
 
0.3%
48530 1
 
0.3%
47221 1
 
0.3%
Other values (3) 3
 
1.0%
ValueCountFrequency (%)
0 288
96.0%
47221 1
 
0.3%
48530 1
 
0.3%
58254 1
 
0.3%
60842 1
 
0.3%
61607 1
 
0.3%
70332 1
 
0.3%
80327 1
 
0.3%
81063 1
 
0.3%
99820 1
 
0.3%
ValueCountFrequency (%)
126143 1
0.3%
116596 1
0.3%
105105 1
0.3%
99820 1
0.3%
81063 1
0.3%
80327 1
0.3%
70332 1
0.3%
61607 1
0.3%
60842 1
0.3%
58254 1
0.3%

Interactions

2023-12-12T13:33:19.175634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:15.559938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.286495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.870344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:17.849079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.511443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:19.276850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:15.671600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.381697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.969119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:17.966841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.625294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:19.371688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:15.818343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.468076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:17.064152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.092969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.750696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:19.485509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:15.945993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.573165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:17.164161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.203456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.865818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:19.575473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.040189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.665865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:17.281915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.314999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.953277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:19.657234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.167219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:16.767661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:17.732867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:18.417645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:33:19.058656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:33:22.457143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업소년월유연탄계(석탄)유류액화천연가스(LNG)고형연료우드펠릿
사업소1.0000.0000.8430.8430.6570.6020.5640.562
년월0.0001.0000.0000.0000.0000.0000.0000.000
유연탄0.8430.0001.0001.0000.8740.0000.7220.000
계(석탄)0.8430.0001.0001.0000.8740.0000.7220.000
유류0.6570.0000.8740.8741.0000.0000.6230.000
액화천연가스(LNG)0.6020.0000.0000.0000.0001.0000.0000.000
고형연료0.5640.0000.7220.7220.6230.0001.0000.000
우드펠릿0.5620.0000.0000.0000.0000.0000.0001.000
2023-12-12T13:33:22.587116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유연탄계(석탄)유류액화천연가스(LNG)고형연료우드펠릿사업소
유연탄1.0001.0000.878-0.1600.529-0.0750.478
계(석탄)1.0001.0000.878-0.1600.529-0.0750.478
유류0.8780.8781.000-0.1820.4790.3430.311
액화천연가스(LNG)-0.160-0.160-0.1821.000-0.085-0.0890.297
고형연료0.5290.5290.479-0.0851.000-0.0400.271
우드펠릿-0.075-0.0750.343-0.089-0.0401.0000.253
사업소0.4780.4780.3110.2970.2710.2531.000

Missing values

2023-12-12T13:33:19.789787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:33:20.005465image/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

사업소년월유연탄무연탄계(석탄)유류액화천연가스(LNG)고형연료우드펠릿
0경상대태양광2022-120000000
1광양항세방태양광2022-120000000
2구미태양광2022-120000000
3군위 화산풍력2022-120000000
4두산엔진MG태양광2022-120000000
5분당연료전지2022-120000407400
6분당화력2022-1200009050200
7삼천포2022-1242365904236591043043610
8삼천포태양광2022-120000000
9삼천포태양광#52022-120000000
사업소년월유연탄무연탄계(석탄)유류액화천연가스(LNG)고형연료우드펠릿
290여수태양광2022-010000000
291영동2022-01000550060842
292영동태양광2022-010000000
293영흥2022-011105788011057882927000
294영흥태양광2022-010000000
295영흥태양광 #32022-010000000
296영흥태양광#52022-010000000
297영흥풍력2022-010000000
298예천태양광2022-010000000
299탑선태양광2022-010000000