Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory54.7 B

Variable types

DateTime1
Categorical3
Numeric2

Dataset

Description한국중부발전(주) 탈황석고 처리 정보이며, 항목은 "년월", "기관명", "발전소명", "발생량(톤)", "재활용량(톤)","재활용률(퍼센트)"로 구성되어 있으며, 연도별 업데이트 자료임.
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15004266/fileData.do

Alerts

기관명 has constant value ""Constant
재활용률(퍼센트) has constant value ""Constant
발생량(톤) is highly overall correlated with 재활용량(톤) and 1 other fieldsHigh correlation
재활용량(톤) is highly overall correlated with 발생량(톤) and 1 other fieldsHigh correlation
발전소명 is highly overall correlated with 발생량(톤) and 1 other fieldsHigh correlation
발생량(톤) has unique valuesUnique
재활용량(톤) has unique valuesUnique

Reproduction

Analysis started2024-04-21 00:58:34.829963
Analysis finished2024-04-21 00:58:36.533070
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2023-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-04-21T09:58:36.574230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:58:36.661670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
한국중부발전
36 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국중부발전 36
100.0%

Length

2024-04-21T09:58:36.763444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:58:36.854205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국중부발전 36
100.0%

발전소명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
보령
12 
신보령
12 
신서천
12 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령 12
33.3%
신보령 12
33.3%
신서천 12
33.3%

Length

2024-04-21T09:58:36.951714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:58:37.042669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령 12
33.3%
신보령 12
33.3%
신서천 12
33.3%

발생량(톤)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5689.8056
Minimum355
Maximum14574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-21T09:58:37.134028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum355
5-th percentile1302.25
Q12975
median5671.5
Q37457.75
95-th percentile12864.5
Maximum14574
Range14219
Interquartile range (IQR)4482.75

Descriptive statistics

Standard deviation3656.7433
Coefficient of variation (CV)0.64268335
Kurtosis-0.1110265
Mean5689.8056
Median Absolute Deviation (MAD)2624.5
Skewness0.73295549
Sum204833
Variance13371772
MonotonicityNot monotonic
2024-04-21T09:58:37.248640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5891 1
 
2.8%
5862 1
 
2.8%
4060 1
 
2.8%
7449 1
 
2.8%
5869 1
 
2.8%
3017 1
 
2.8%
1198 1
 
2.8%
1819 1
 
2.8%
1551 1
 
2.8%
355 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
355 1
2.8%
1198 1
2.8%
1337 1
2.8%
1350 1
2.8%
1551 1
2.8%
1819 1
2.8%
2435 1
2.8%
2680 1
2.8%
2849 1
2.8%
3017 1
2.8%
ValueCountFrequency (%)
14574 1
2.8%
13340 1
2.8%
12706 1
2.8%
10715 1
2.8%
10235 1
2.8%
9878 1
2.8%
9678 1
2.8%
8275 1
2.8%
7484 1
2.8%
7449 1
2.8%

재활용량(톤)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5689.8056
Minimum355
Maximum14574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-21T09:58:37.365441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum355
5-th percentile1302.25
Q12975
median5671.5
Q37457.75
95-th percentile12864.5
Maximum14574
Range14219
Interquartile range (IQR)4482.75

Descriptive statistics

Standard deviation3656.7433
Coefficient of variation (CV)0.64268335
Kurtosis-0.1110265
Mean5689.8056
Median Absolute Deviation (MAD)2624.5
Skewness0.73295549
Sum204833
Variance13371772
MonotonicityNot monotonic
2024-04-21T09:58:37.503012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5891 1
 
2.8%
5862 1
 
2.8%
4060 1
 
2.8%
7449 1
 
2.8%
5869 1
 
2.8%
3017 1
 
2.8%
1198 1
 
2.8%
1819 1
 
2.8%
1551 1
 
2.8%
355 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
355 1
2.8%
1198 1
2.8%
1337 1
2.8%
1350 1
2.8%
1551 1
2.8%
1819 1
2.8%
2435 1
2.8%
2680 1
2.8%
2849 1
2.8%
3017 1
2.8%
ValueCountFrequency (%)
14574 1
2.8%
13340 1
2.8%
12706 1
2.8%
10715 1
2.8%
10235 1
2.8%
9878 1
2.8%
9678 1
2.8%
8275 1
2.8%
7484 1
2.8%
7449 1
2.8%

재활용률(퍼센트)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
100
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 36
100.0%

Length

2024-04-21T09:58:37.644434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T09:58:37.736500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 36
100.0%

Interactions

2024-04-21T09:58:36.204528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:58:35.846141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:58:36.279868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T09:58:35.994058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T09:58:37.801031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월발전소명발생량(톤)재활용량(톤)
년월1.0000.0000.0000.000
발전소명0.0001.0000.8320.832
발생량(톤)0.0000.8321.0001.000
재활용량(톤)0.0000.8321.0001.000
2024-04-21T09:58:37.910038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생량(톤)재활용량(톤)발전소명
발생량(톤)1.0001.0000.659
재활용량(톤)1.0001.0000.659
발전소명0.6590.6591.000

Missing values

2024-04-21T09:58:36.385748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T09:58:36.485381image/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

년월기관명발전소명발생량(톤)재활용량(톤)재활용률(퍼센트)
02023-01한국중부발전보령58915891100
12023-02한국중부발전보령67906790100
22023-03한국중부발전보령98789878100
32023-04한국중부발전보령37053705100
42023-05한국중부발전보령74847484100
52023-06한국중부발전보령59505950100
62023-07한국중부발전보령1457414574100
72023-08한국중부발전보령1334013340100
82023-09한국중부발전보령1023510235100
92023-10한국중부발전보령96789678100
년월기관명발전소명발생량(톤)재활용량(톤)재활용률(퍼센트)
262023-03한국중부발전신서천18191819100
272023-04한국중부발전신서천15511551100
282023-05한국중부발전신서천355355100
292023-06한국중부발전신서천13371337100
302023-07한국중부발전신서천32763276100
312023-08한국중부발전신서천26802680100
322023-09한국중부발전신서천30263026100
332023-10한국중부발전신서천24352435100
342023-11한국중부발전신서천28492849100
352023-12한국중부발전신서천13501350100