Overview

Dataset statistics

Number of variables7
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory58.9 B

Variable types

Numeric2
Categorical4
DateTime1

Dataset

Description발전소에서 배출되는 폐기물(석탄회, 탈황석고) 출고량 데이터이며, 항목은 "순번", "기관명", "발전소명", "석탄회유형", "발생유형", "년월", "물량"으로 구분되어있음.
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15070848/fileData.do

Alerts

기관명 has constant value ""Constant
순번 is highly overall correlated with 발전소명High correlation
물량 is highly overall correlated with 석탄회유형High correlation
발전소명 is highly overall correlated with 순번High correlation
석탄회유형 is highly overall correlated with 물량High correlation
순번 has unique valuesUnique
물량 has 16 (11.1%) zerosZeros

Reproduction

Analysis started2024-04-21 01:39:07.857351
Analysis finished2024-04-21 01:39:09.967349
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.5
Minimum1
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T10:39:10.033587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.15
Q136.75
median72.5
Q3108.25
95-th percentile136.85
Maximum144
Range143
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation41.713307
Coefficient of variation (CV)0.57535596
Kurtosis-1.2
Mean72.5
Median Absolute Deviation (MAD)36
Skewness0
Sum10440
Variance1740
MonotonicityStrictly increasing
2024-04-21T10:39:10.162267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
74 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한국중부발전
144 

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 144
100.0%

Length

2024-04-21T10:39:10.296229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:39:10.389324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국중부발전 144
100.0%

발전소명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
보령
48 
신보령
48 
신서천
48 

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 48
33.3%
신보령 48
33.3%
신서천 48
33.3%

Length

2024-04-21T10:39:10.486227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:39:10.575813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령 48
33.3%
신보령 48
33.3%
신서천 48
33.3%

석탄회유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
플라이애쉬
72 
바텀애쉬
72 

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row플라이애쉬
2nd row플라이애쉬
3rd row바텀애쉬
4th row바텀애쉬
5th row플라이애쉬

Common Values

ValueCountFrequency (%)
플라이애쉬 72
50.0%
바텀애쉬 72
50.0%

Length

2024-04-21T10:39:10.675900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:39:10.765447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
플라이애쉬 72
50.0%
바텀애쉬 72
50.0%

발생유형
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
발생량
72 
재활용량
72 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발생량
2nd row재활용량
3rd row발생량
4th row재활용량
5th row발생량

Common Values

ValueCountFrequency (%)
발생량 72
50.0%
재활용량 72
50.0%

Length

2024-04-21T10:39:10.858574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:39:10.958882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발생량 72
50.0%
재활용량 72
50.0%

년월
Date

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-04-21T10:39:11.046278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:39:11.144009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

물량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct128
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15560.791
Minimum0
Maximum70571
Zeros16
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-21T10:39:11.271461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1481
median6577
Q331213.75
95-th percentile45698.25
Maximum70571
Range70571
Interquartile range (IQR)30732.75

Descriptive statistics

Standard deviation17541.693
Coefficient of variation (CV)1.1273009
Kurtosis-0.10585922
Mean15560.791
Median Absolute Deviation (MAD)6562.5
Skewness0.96303172
Sum2240753.9
Variance3.07711 × 108
MonotonicityNot monotonic
2024-04-21T10:39:11.398732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
11.1%
247.0 2
 
1.4%
39505.0 1
 
0.7%
29372.0 1
 
0.7%
651.0 1
 
0.7%
6443.0 1
 
0.7%
5877.0 1
 
0.7%
336.0 1
 
0.7%
2427.0 1
 
0.7%
18727.0 1
 
0.7%
Other values (118) 118
81.9%
ValueCountFrequency (%)
0.0 16
11.1%
29.0 1
 
0.7%
56.0 1
 
0.7%
70.0 1
 
0.7%
127.0 1
 
0.7%
133.0 1
 
0.7%
157.0 1
 
0.7%
212.0 1
 
0.7%
247.0 2
 
1.4%
261.0 1
 
0.7%
ValueCountFrequency (%)
70571.0 1
0.7%
67817.0 1
0.7%
61787.0 1
0.7%
52387.0 1
0.7%
51212.0 1
0.7%
47204.0 1
0.7%
46536.0 1
0.7%
45714.0 1
0.7%
45609.0 1
0.7%
43251.0 1
0.7%

Interactions

2024-04-21T10:39:09.610560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:39:09.274862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:39:09.703046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:39:09.412786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:39:11.486070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발전소명석탄회유형발생유형년월물량
순번1.0000.9390.0000.0000.7170.399
발전소명0.9391.0000.0000.0000.0000.515
석탄회유형0.0000.0001.0000.0000.0000.972
발생유형0.0000.0000.0001.0000.0000.232
년월0.7170.0000.0000.0001.0000.000
물량0.3990.5150.9720.2320.0001.000
2024-04-21T10:39:11.621171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소명발생유형석탄회유형
발전소명1.0000.0000.000
발생유형0.0001.0000.000
석탄회유형0.0000.0001.000
2024-04-21T10:39:11.724147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번물량발전소명석탄회유형발생유형
순번1.000-0.3590.9000.0000.000
물량-0.3591.0000.3510.8300.172
발전소명0.9000.3511.0000.0000.000
석탄회유형0.0000.8300.0001.0000.000
발생유형0.0000.1720.0000.0001.000

Missing values

2024-04-21T10:39:09.817090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:39:09.920751image/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

순번기관명발전소명석탄회유형발생유형년월물량
01한국중부발전보령플라이애쉬발생량2023-0139505.0
12한국중부발전보령플라이애쉬재활용량2023-0131423.0
23한국중부발전보령바텀애쉬발생량2023-016035.0
34한국중부발전보령바텀애쉬재활용량2023-01452.0
45한국중부발전보령플라이애쉬발생량2023-0242162.0
56한국중부발전보령플라이애쉬재활용량2023-0232095.0
67한국중부발전보령바텀애쉬발생량2023-026342.0
78한국중부발전보령바텀애쉬재활용량2023-02482.0
89한국중부발전보령플라이애쉬발생량2023-0323580.0
910한국중부발전보령플라이애쉬재활용량2023-0324541.0
순번기관명발전소명석탄회유형발생유형년월물량
134135한국중부발전신서천바텀애쉬발생량2023-102226.0
135136한국중부발전신서천바텀애쉬재활용량2023-100.0
136137한국중부발전신서천플라이애쉬발생량2023-117574.0
137138한국중부발전신서천플라이애쉬재활용량2023-115599.0
138139한국중부발전신서천바텀애쉬발생량2023-11837.0
139140한국중부발전신서천바텀애쉬재활용량2023-110.0
140141한국중부발전신서천플라이애쉬발생량2023-1219925.0
141142한국중부발전신서천플라이애쉬재활용량2023-123865.62
142143한국중부발전신서천바텀애쉬발생량2023-122181.3
143144한국중부발전신서천바텀애쉬재활용량2023-120.0