Overview

Dataset statistics

Number of variables36
Number of observations360
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory113.0 KiB
Average record size in memory321.4 B

Variable types

DateTime1
Categorical15
Numeric20

Dataset

Description인천환경공단 청라 · 송도사업소 연도별 음식물처리 운영데이터 (음식물 반입량, 처리약품, 사용전력량 등 기재) -> 현재 공단에서 운용중인 음식물처리 분야에 관한 공개 데이터를 제공중
URLhttps://www.data.go.kr/data/3069693/fileData.do

Alerts

남구_음식물반입량 has constant value ""Constant
남동구_음식물반입량 has constant value ""Constant
부평구_음식물반입량 has constant value ""Constant
연수구_음식물반입량 has constant value ""Constant
웅진군_음식물반입량 has constant value ""Constant
음식물_재고량 has constant value ""Constant
전력량_전일검침 has constant value ""Constant
전력량_금일검침 has constant value ""Constant
용수량_전일검침 has constant value ""Constant
용수량_금일검침 has constant value ""Constant
일자 has unique valuesUnique
중구_음식물반입량 has 117 (32.5%) zerosZeros
동구_음식물반입량 has 230 (63.9%) zerosZeros
서구_음식물반입량 has 91 (25.3%) zerosZeros
계양구_음식물반입량 has 100 (27.8%) zerosZeros
음식물_금일반입량 has 90 (25.0%) zerosZeros
음식물_금일처리량 has 87 (24.2%) zerosZeros
사료5번_생산량 has 77 (21.4%) zerosZeros
사료5번_반출량 has 279 (77.5%) zerosZeros
전력량_금일사용량 has 26 (7.2%) zerosZeros
용수량_금일사용량 has 28 (7.8%) zerosZeros
음식물탈리액_수도권매립 has 145 (40.3%) zerosZeros
음식물탈리액_가좌연계처리 has 256 (71.1%) zerosZeros
음식물탈리액_자체처리 has 288 (80.0%) zerosZeros
협잡물전처리_발생량 has 90 (25.0%) zerosZeros
협잡물전처리_처리량 has 90 (25.0%) zerosZeros
후속공정_발생량 has 90 (25.0%) zerosZeros
후속공정_처리량 has 90 (25.0%) zerosZeros
가성소다_입고량 has 332 (92.2%) zerosZeros

Reproduction

Analysis started2023-12-12 20:36:34.923383
Analysis finished2023-12-12 20:36:35.250259
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct360
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T05:36:35.317938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:36:35.468019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요일
Categorical

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
월
52 
화
52 
수
52 
목
52 
토
51 
Other values (2)
101 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토
2nd row일
3rd row월
4th row화
5th row수

Common Values

ValueCountFrequency (%)
월 52
14.4%
화 52
14.4%
수 52
14.4%
목 52
14.4%
토 51
14.2%
금 51
14.2%
일 50
13.9%

Length

2023-12-13T05:36:35.635798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:35.792771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월 52
14.4%
화 52
14.4%
수 52
14.4%
목 52
14.4%
토 51
14.2%
금 51
14.2%
일 50
13.9%

날씨
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
맑음
262 
비
52 
흐림
29 
눈
 
15
0
 
2

Length

Max length2
Median length2
Mean length1.8083333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row맑음
2nd row눈
3rd row눈
4th row맑음
5th row맑음

Common Values

ValueCountFrequency (%)
맑음 262
72.8%
비 52
 
14.4%
흐림 29
 
8.1%
눈 15
 
4.2%
0 2
 
0.6%

Length

2023-12-13T05:36:35.951600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:36.106251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 262
72.8%
비 52
 
14.4%
흐림 29
 
8.1%
눈 15
 
4.2%
0 2
 
0.6%

중구_음식물반입량
Real number (ℝ)

ZEROS 

Distinct166
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.471
Minimum0
Maximum11.08
Zeros117
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:36.326449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.105
Q37.0075
95-th percentile7.6415
Maximum11.08
Range11.08
Interquartile range (IQR)7.0075

Descriptive statistics

Standard deviation3.2066939
Coefficient of variation (CV)0.71722074
Kurtosis-1.438235
Mean4.471
Median Absolute Deviation (MAD)1.26
Skewness-0.55990342
Sum1609.56
Variance10.282886
MonotonicityNot monotonic
2023-12-13T05:36:36.530662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 117
32.5%
7.19 5
 
1.4%
6.53 5
 
1.4%
7.49 4
 
1.1%
6.68 4
 
1.1%
7.33 4
 
1.1%
6.7 3
 
0.8%
7.18 3
 
0.8%
6.82 3
 
0.8%
7.06 3
 
0.8%
Other values (156) 209
58.1%
ValueCountFrequency (%)
0.0 117
32.5%
3.53 1
 
0.3%
3.95 2
 
0.6%
4.11 1
 
0.3%
4.33 1
 
0.3%
4.41 1
 
0.3%
4.48 1
 
0.3%
4.63 1
 
0.3%
4.64 1
 
0.3%
4.76 1
 
0.3%
ValueCountFrequency (%)
11.08 1
0.3%
10.52 1
0.3%
8.11 1
0.3%
7.99 1
0.3%
7.97 1
0.3%
7.85 1
0.3%
7.82 2
0.6%
7.81 1
0.3%
7.76 2
0.6%
7.72 1
0.3%

동구_음식물반입량
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1829444
Minimum0
Maximum15.47
Zeros230
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:36.739219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311.0025
95-th percentile14.3825
Maximum15.47
Range15.47
Interquartile range (IQR)11.0025

Descriptive statistics

Standard deviation5.836402
Coefficient of variation (CV)1.3952856
Kurtosis-1.2168669
Mean4.1829444
Median Absolute Deviation (MAD)0
Skewness0.79270444
Sum1505.86
Variance34.063588
MonotonicityNot monotonic
2023-12-13T05:36:36.922723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 230
63.9%
14.54 3
 
0.8%
11.47 2
 
0.6%
13.76 2
 
0.6%
14.43 2
 
0.6%
12.48 2
 
0.6%
12.22 2
 
0.6%
12.05 2
 
0.6%
11.74 2
 
0.6%
14.29 2
 
0.6%
Other values (109) 111
30.8%
ValueCountFrequency (%)
0.0 230
63.9%
3.49 1
 
0.3%
4.16 1
 
0.3%
4.45 1
 
0.3%
4.53 1
 
0.3%
4.55 1
 
0.3%
4.56 1
 
0.3%
4.86 1
 
0.3%
4.9 1
 
0.3%
5.13 1
 
0.3%
ValueCountFrequency (%)
15.47 1
0.3%
15.28 1
0.3%
15.23 1
0.3%
15.17 1
0.3%
15.0 1
0.3%
14.95 1
0.3%
14.78 1
0.3%
14.71 1
0.3%
14.56 1
0.3%
14.55 1
0.3%

서구_음식물반입량
Real number (ℝ)

ZEROS 

Distinct261
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.897639
Minimum0
Maximum88.26
Zeros91
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:37.116648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median54.855
Q365.41
95-th percentile79.035
Maximum88.26
Range88.26
Interquartile range (IQR)65.41

Descriptive statistics

Standard deviation28.462253
Coefficient of variation (CV)0.64837776
Kurtosis-1.1460788
Mean43.897639
Median Absolute Deviation (MAD)13.465
Skewness-0.6079623
Sum15803.15
Variance810.09984
MonotonicityNot monotonic
2023-12-13T05:36:37.293637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 91
 
25.3%
65.27 2
 
0.6%
56.99 2
 
0.6%
65.85 2
 
0.6%
55.32 2
 
0.6%
79.25 2
 
0.6%
54.66 2
 
0.6%
63.04 2
 
0.6%
72.39 2
 
0.6%
68.32 2
 
0.6%
Other values (251) 251
69.7%
ValueCountFrequency (%)
0.0 91
25.3%
9.51 1
 
0.3%
9.85 1
 
0.3%
10.7 1
 
0.3%
11.71 1
 
0.3%
15.18 1
 
0.3%
15.85 1
 
0.3%
17.4 1
 
0.3%
19.34 1
 
0.3%
25.84 1
 
0.3%
ValueCountFrequency (%)
88.26 1
0.3%
86.48 1
0.3%
84.96 1
0.3%
84.27 1
0.3%
83.49 1
0.3%
83.48 1
0.3%
83.07 1
0.3%
82.59 1
0.3%
82.32 1
0.3%
82.11 1
0.3%

남구_음식물반입량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:37.436219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:37.547178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

남동구_음식물반입량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:37.682789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:37.796167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

부평구_음식물반입량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:37.914969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:38.026743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

계양구_음식물반입량
Real number (ℝ)

ZEROS 

Distinct239
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8701944
Minimum0
Maximum29.51
Zeros100
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:38.168773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10.715
Q314.9475
95-th percentile22.0135
Maximum29.51
Range29.51
Interquartile range (IQR)14.9475

Descriptive statistics

Standard deviation7.3021793
Coefficient of variation (CV)0.73982122
Kurtosis-0.82588127
Mean9.8701944
Median Absolute Deviation (MAD)5.135
Skewness0.018234313
Sum3553.27
Variance53.321822
MonotonicityNot monotonic
2023-12-13T05:36:38.670358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 100
27.8%
10.33 3
 
0.8%
13.61 2
 
0.6%
11.95 2
 
0.6%
10.53 2
 
0.6%
14.6 2
 
0.6%
10.93 2
 
0.6%
11.27 2
 
0.6%
10.16 2
 
0.6%
8.01 2
 
0.6%
Other values (229) 241
66.9%
ValueCountFrequency (%)
0.0 100
27.8%
4.19 1
 
0.3%
4.26 1
 
0.3%
4.4 1
 
0.3%
5.42 1
 
0.3%
5.5 1
 
0.3%
5.68 1
 
0.3%
6.67 1
 
0.3%
6.87 1
 
0.3%
7.0 1
 
0.3%
ValueCountFrequency (%)
29.51 1
0.3%
28.29 1
0.3%
26.27 1
0.3%
25.86 1
0.3%
25.43 1
0.3%
24.62 1
0.3%
24.39 2
0.6%
24.29 1
0.3%
23.99 1
0.3%
23.18 1
0.3%

연수구_음식물반입량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:38.822808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:38.947867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

웅진군_음식물반입량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:39.053903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:39.173678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

음식물_금일반입량
Real number (ℝ)

ZEROS 

Distinct266
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.421778
Minimum0
Maximum124.56
Zeros90
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:39.304716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.385
median77.44
Q391.445
95-th percentile106.233
Maximum124.56
Range124.56
Interquartile range (IQR)80.06

Descriptive statistics

Standard deviation39.46762
Coefficient of variation (CV)0.63227325
Kurtosis-1.0801206
Mean62.421778
Median Absolute Deviation (MAD)18.455
Skewness-0.68981988
Sum22471.84
Variance1557.693
MonotonicityNot monotonic
2023-12-13T05:36:39.473371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 90
 
25.0%
89.56 2
 
0.6%
86.83 2
 
0.6%
100.96 2
 
0.6%
110.47 2
 
0.6%
76.65 2
 
0.6%
77.21 1
 
0.3%
117.81 1
 
0.3%
37.02 1
 
0.3%
98.55 1
 
0.3%
Other values (256) 256
71.1%
ValueCountFrequency (%)
0.0 90
25.0%
15.18 1
 
0.3%
25.53 1
 
0.3%
26.2 1
 
0.3%
28.27 1
 
0.3%
28.34 1
 
0.3%
31.36 1
 
0.3%
36.03 1
 
0.3%
36.81 1
 
0.3%
37.02 1
 
0.3%
ValueCountFrequency (%)
124.56 1
0.3%
118.74 1
0.3%
117.81 1
0.3%
117.25 1
0.3%
116.24 1
0.3%
116.13 1
0.3%
116.11 1
0.3%
114.71 1
0.3%
112.96 1
0.3%
111.81 1
0.3%

음식물_금일처리량
Real number (ℝ)

ZEROS 

Distinct266
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.007444
Minimum0
Maximum124.56
Zeros87
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:39.626388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.25
median77.065
Q391.7475
95-th percentile105.258
Maximum124.56
Range124.56
Interquartile range (IQR)79.4975

Descriptive statistics

Standard deviation39.391721
Coefficient of variation (CV)0.63527407
Kurtosis-1.1209158
Mean62.007444
Median Absolute Deviation (MAD)19.35
Skewness-0.68042041
Sum22322.68
Variance1551.7077
MonotonicityNot monotonic
2023-12-13T05:36:39.769885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 87
 
24.2%
98.13 2
 
0.6%
104.92 2
 
0.6%
97.61 2
 
0.6%
89.48 2
 
0.6%
14.0 2
 
0.6%
89.56 2
 
0.6%
76.65 2
 
0.6%
86.83 2
 
0.6%
105.25 1
 
0.3%
Other values (256) 256
71.1%
ValueCountFrequency (%)
0.0 87
24.2%
2.0 1
 
0.3%
5.0 1
 
0.3%
7.0 1
 
0.3%
14.0 2
 
0.6%
15.18 1
 
0.3%
25.53 1
 
0.3%
26.2 1
 
0.3%
28.27 1
 
0.3%
28.34 1
 
0.3%
ValueCountFrequency (%)
124.56 1
0.3%
118.74 1
0.3%
117.81 1
0.3%
116.81 1
0.3%
116.13 1
0.3%
110.98 1
0.3%
110.71 1
0.3%
110.47 1
0.3%
108.97 1
0.3%
107.42 1
0.3%

음식물_재고량
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:39.889421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:39.978145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

사료5번_생산량
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6499722
Minimum0
Maximum12
Zeros77
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:40.078837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.2
median6.4
Q38
95-th percentile10.4
Maximum12
Range12
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation3.437048
Coefficient of variation (CV)0.60833007
Kurtosis-0.82213309
Mean5.6499722
Median Absolute Deviation (MAD)1.6
Skewness-0.58788536
Sum2033.99
Variance11.813299
MonotonicityNot monotonic
2023-12-13T05:36:40.225020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 77
21.4%
6.4 53
14.7%
7.2 49
13.6%
8.0 41
11.4%
5.6 21
 
5.8%
8.8 18
 
5.0%
9.6 11
 
3.1%
10.4 7
 
1.9%
4.0 5
 
1.4%
2.4 5
 
1.4%
Other values (38) 73
20.3%
ValueCountFrequency (%)
0.0 77
21.4%
0.8 2
 
0.6%
1.6 3
 
0.8%
2.12 1
 
0.3%
2.4 5
 
1.4%
3.2 4
 
1.1%
3.86 1
 
0.3%
3.9 1
 
0.3%
4.0 5
 
1.4%
4.8 5
 
1.4%
ValueCountFrequency (%)
12.0 3
0.8%
11.7 1
 
0.3%
11.4 1
 
0.3%
11.2 5
1.4%
11.0 1
 
0.3%
10.8 1
 
0.3%
10.6 1
 
0.3%
10.4 7
1.9%
10.26 1
 
0.3%
10.0 2
 
0.6%

사료5번_반출량
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6365278
Minimum0
Maximum28.18
Zeros279
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:40.356565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26.35
Maximum28.18
Range28.18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.642434
Coefficient of variation (CV)1.8881188
Kurtosis-0.10607252
Mean5.6365278
Median Absolute Deviation (MAD)0
Skewness1.3716948
Sum2029.15
Variance113.2614
MonotonicityNot monotonic
2023-12-13T05:36:40.481396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 279
77.5%
26.24 3
 
0.8%
24.93 3
 
0.8%
25.47 3
 
0.8%
26.53 2
 
0.6%
25.79 2
 
0.6%
25.15 2
 
0.6%
26.1 2
 
0.6%
25.6 2
 
0.6%
26.23 2
 
0.6%
Other values (58) 60
 
16.7%
ValueCountFrequency (%)
0.0 279
77.5%
1.61 1
 
0.3%
1.71 1
 
0.3%
16.0 1
 
0.3%
22.89 1
 
0.3%
23.82 1
 
0.3%
23.99 1
 
0.3%
24.36 1
 
0.3%
24.37 1
 
0.3%
24.59 1
 
0.3%
ValueCountFrequency (%)
28.18 1
0.3%
26.97 1
0.3%
26.86 1
0.3%
26.84 1
0.3%
26.8 1
0.3%
26.69 1
0.3%
26.67 1
0.3%
26.65 1
0.3%
26.62 1
0.3%
26.53 2
0.6%

전력량_전일검침
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:40.598210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:40.692597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

전력량_금일검침
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:40.787046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:40.873370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

전력량_금일사용량
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.545
Minimum0
Maximum6.5
Zeros26
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:40.967167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3.1
Q33.2
95-th percentile4
Maximum6.5
Range6.5
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.2175493
Coefficient of variation (CV)0.47840835
Kurtosis0.018396553
Mean2.545
Median Absolute Deviation (MAD)0.2
Skewness-0.99395635
Sum916.2
Variance1.4824262
MonotonicityNot monotonic
2023-12-13T05:36:41.086424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
3.2 58
16.1%
3.0 45
12.5%
3.1 41
11.4%
3.3 37
10.3%
0.0 26
 
7.2%
4.0 21
 
5.8%
0.4 14
 
3.9%
3.4 14
 
3.9%
2.8 12
 
3.3%
2.9 12
 
3.3%
Other values (29) 80
22.2%
ValueCountFrequency (%)
0.0 26
7.2%
0.2 3
 
0.8%
0.3 9
 
2.5%
0.4 14
3.9%
0.5 5
 
1.4%
0.6 4
 
1.1%
0.7 2
 
0.6%
0.8 2
 
0.6%
0.9 3
 
0.8%
1.0 3
 
0.8%
ValueCountFrequency (%)
6.5 1
 
0.3%
4.7 1
 
0.3%
4.0 21
 
5.8%
3.9 1
 
0.3%
3.7 3
 
0.8%
3.6 3
 
0.8%
3.5 3
 
0.8%
3.4 14
 
3.9%
3.3 37
10.3%
3.2 58
16.1%

용수량_전일검침
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:41.226775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:41.329641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

용수량_금일검침
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
360 

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 (%)
0 360
100.0%

Length

2023-12-13T05:36:41.445421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:41.542227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 360
100.0%

용수량_금일사용량
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.3
Minimum0
Maximum61
Zeros28
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:41.644312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median20
Q325.25
95-th percentile36.05
Maximum61
Range61
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation10.586111
Coefficient of variation (CV)0.54850314
Kurtosis0.40976445
Mean19.3
Median Absolute Deviation (MAD)6
Skewness0.1253697
Sum6948
Variance112.06574
MonotonicityNot monotonic
2023-12-13T05:36:41.814536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 28
 
7.8%
18 25
 
6.9%
20 19
 
5.3%
24 18
 
5.0%
25 17
 
4.7%
14 16
 
4.4%
15 14
 
3.9%
22 13
 
3.6%
30 13
 
3.6%
23 13
 
3.6%
Other values (37) 184
51.1%
ValueCountFrequency (%)
0 28
7.8%
1 6
 
1.7%
2 4
 
1.1%
3 3
 
0.8%
4 1
 
0.3%
5 5
 
1.4%
6 4
 
1.1%
7 2
 
0.6%
8 5
 
1.4%
9 1
 
0.3%
ValueCountFrequency (%)
61 1
 
0.3%
53 1
 
0.3%
51 1
 
0.3%
44 1
 
0.3%
42 2
 
0.6%
41 2
 
0.6%
40 2
 
0.6%
39 1
 
0.3%
38 6
1.7%
37 1
 
0.3%

음식물탈리액_수도권매립
Real number (ℝ)

ZEROS 

Distinct193
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.911444
Minimum0
Maximum119.03
Zeros145
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:41.982988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50.025
Q375.1925
95-th percentile100.0105
Maximum119.03
Range119.03
Interquartile range (IQR)75.1925

Descriptive statistics

Standard deviation40.727406
Coefficient of variation (CV)0.88708613
Kurtosis-1.672792
Mean45.911444
Median Absolute Deviation (MAD)49.615
Skewness-0.023195752
Sum16528.12
Variance1658.7216
MonotonicityNot monotonic
2023-12-13T05:36:42.130126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 145
40.3%
49.97 3
 
0.8%
74.93 2
 
0.6%
74.92 2
 
0.6%
74.84 2
 
0.6%
100.04 2
 
0.6%
74.98 2
 
0.6%
99.99 2
 
0.6%
99.9 2
 
0.6%
99.86 2
 
0.6%
Other values (183) 196
54.4%
ValueCountFrequency (%)
0.0 145
40.3%
24.81 1
 
0.3%
24.93 1
 
0.3%
25.1 1
 
0.3%
29.17 1
 
0.3%
38.45 1
 
0.3%
41.04 1
 
0.3%
44.19 1
 
0.3%
47.08 1
 
0.3%
47.36 1
 
0.3%
ValueCountFrequency (%)
119.03 1
0.3%
100.49 1
0.3%
100.41 1
0.3%
100.34 1
0.3%
100.31 1
0.3%
100.26 1
0.3%
100.23 1
0.3%
100.2 1
0.3%
100.19 1
0.3%
100.16 1
0.3%

음식물탈리액_가좌연계처리
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7333056
Minimum0
Maximum25.56
Zeros256
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:42.273998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.655
95-th percentile25.1005
Maximum25.56
Range25.56
Interquartile range (IQR)21.655

Descriptive statistics

Standard deviation10.664809
Coefficient of variation (CV)1.5838891
Kurtosis-1.0112661
Mean6.7333056
Median Absolute Deviation (MAD)0
Skewness0.97758042
Sum2423.99
Variance113.73816
MonotonicityNot monotonic
2023-12-13T05:36:42.426894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 256
71.1%
24.12 4
 
1.1%
25.12 4
 
1.1%
25.1 3
 
0.8%
23.71 3
 
0.8%
25.14 3
 
0.8%
23.85 3
 
0.8%
24.02 2
 
0.6%
24.1 2
 
0.6%
23.99 2
 
0.6%
Other values (70) 78
 
21.7%
ValueCountFrequency (%)
0.0 256
71.1%
9.6 1
 
0.3%
14.6 1
 
0.3%
16.42 1
 
0.3%
16.48 1
 
0.3%
16.93 1
 
0.3%
17.73 1
 
0.3%
17.9 1
 
0.3%
17.93 1
 
0.3%
18.2 1
 
0.3%
ValueCountFrequency (%)
25.56 1
 
0.3%
25.37 1
 
0.3%
25.29 1
 
0.3%
25.27 1
 
0.3%
25.21 1
 
0.3%
25.19 1
 
0.3%
25.17 1
 
0.3%
25.16 1
 
0.3%
25.15 1
 
0.3%
25.14 3
0.8%

음식물탈리액_자체처리
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1964167
Minimum0
Maximum9.78
Zeros288
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:42.619980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.0805
Maximum9.78
Range9.78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4791965
Coefficient of variation (CV)2.0721849
Kurtosis1.273644
Mean1.1964167
Median Absolute Deviation (MAD)0
Skewness1.7235868
Sum430.71
Variance6.1464153
MonotonicityNot monotonic
2023-12-13T05:36:42.764685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 288
80.0%
5.3 4
 
1.1%
7.16 3
 
0.8%
6.13 2
 
0.6%
8.07 2
 
0.6%
4.89 2
 
0.6%
6.94 2
 
0.6%
1.63 1
 
0.3%
6.12 1
 
0.3%
6.58 1
 
0.3%
Other values (54) 54
 
15.0%
ValueCountFrequency (%)
0.0 288
80.0%
1.63 1
 
0.3%
2.26 1
 
0.3%
2.88 1
 
0.3%
3.53 1
 
0.3%
3.84 1
 
0.3%
4.05 1
 
0.3%
4.14 1
 
0.3%
4.33 1
 
0.3%
4.36 1
 
0.3%
ValueCountFrequency (%)
9.78 1
0.3%
8.07 2
0.6%
7.84 1
0.3%
7.69 1
0.3%
7.64 1
0.3%
7.58 1
0.3%
7.57 1
0.3%
7.41 1
0.3%
7.29 1
0.3%
7.23 1
0.3%

협잡물전처리_발생량
Real number (ℝ)

ZEROS 

Distinct193
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6829722
Minimum0
Maximum6.01
Zeros90
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:43.183955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5475
median3.08
Q34.19
95-th percentile5.0305
Maximum6.01
Range6.01
Interquartile range (IQR)3.6425

Descriptive statistics

Standard deviation1.8012091
Coefficient of variation (CV)0.67134838
Kurtosis-1.1913943
Mean2.6829722
Median Absolute Deviation (MAD)1.23
Skewness-0.39066929
Sum965.87
Variance3.2443541
MonotonicityNot monotonic
2023-12-13T05:36:43.309252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 90
 
25.0%
4.19 5
 
1.4%
3.2 5
 
1.4%
4.87 4
 
1.1%
3.57 4
 
1.1%
4.48 4
 
1.1%
4.33 4
 
1.1%
4.06 3
 
0.8%
4.57 3
 
0.8%
4.31 3
 
0.8%
Other values (183) 235
65.3%
ValueCountFrequency (%)
0.0 90
25.0%
0.73 1
 
0.3%
0.89 1
 
0.3%
0.98 1
 
0.3%
1.26 1
 
0.3%
1.29 1
 
0.3%
1.36 1
 
0.3%
1.46 1
 
0.3%
1.48 1
 
0.3%
1.51 1
 
0.3%
ValueCountFrequency (%)
6.01 1
0.3%
5.66 1
0.3%
5.61 2
0.6%
5.6 1
0.3%
5.53 1
0.3%
5.45 1
0.3%
5.36 1
0.3%
5.33 2
0.6%
5.32 1
0.3%
5.18 1
0.3%

협잡물전처리_처리량
Real number (ℝ)

ZEROS 

Distinct193
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6829722
Minimum0
Maximum6.01
Zeros90
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:43.438380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5475
median3.08
Q34.19
95-th percentile5.0305
Maximum6.01
Range6.01
Interquartile range (IQR)3.6425

Descriptive statistics

Standard deviation1.8012091
Coefficient of variation (CV)0.67134838
Kurtosis-1.1913943
Mean2.6829722
Median Absolute Deviation (MAD)1.23
Skewness-0.39066929
Sum965.87
Variance3.2443541
MonotonicityNot monotonic
2023-12-13T05:36:43.577745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 90
 
25.0%
4.19 5
 
1.4%
3.2 5
 
1.4%
4.87 4
 
1.1%
3.57 4
 
1.1%
4.48 4
 
1.1%
4.33 4
 
1.1%
4.06 3
 
0.8%
4.57 3
 
0.8%
4.31 3
 
0.8%
Other values (183) 235
65.3%
ValueCountFrequency (%)
0.0 90
25.0%
0.73 1
 
0.3%
0.89 1
 
0.3%
0.98 1
 
0.3%
1.26 1
 
0.3%
1.29 1
 
0.3%
1.36 1
 
0.3%
1.46 1
 
0.3%
1.48 1
 
0.3%
1.51 1
 
0.3%
ValueCountFrequency (%)
6.01 1
0.3%
5.66 1
0.3%
5.61 2
0.6%
5.6 1
0.3%
5.53 1
0.3%
5.45 1
0.3%
5.36 1
0.3%
5.33 2
0.6%
5.32 1
0.3%
5.18 1
0.3%

후속공정_발생량
Real number (ℝ)

ZEROS 

Distinct161
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.76775
Minimum0
Maximum3.95
Zeros90
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:43.712992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.36
median2.045
Q32.76
95-th percentile3.32
Maximum3.95
Range3.95
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.1877542
Coefficient of variation (CV)0.6719017
Kurtosis-1.1914643
Mean1.76775
Median Absolute Deviation (MAD)0.795
Skewness-0.38667367
Sum636.39
Variance1.4107601
MonotonicityNot monotonic
2023-12-13T05:36:43.851472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 90
 
25.0%
2.34 6
 
1.7%
2.55 5
 
1.4%
2.1 5
 
1.4%
3.2 5
 
1.4%
2.84 5
 
1.4%
2.89 4
 
1.1%
3.68 4
 
1.1%
2.75 4
 
1.1%
3.05 4
 
1.1%
Other values (151) 228
63.3%
ValueCountFrequency (%)
0.0 90
25.0%
0.48 1
 
0.3%
0.59 1
 
0.3%
0.65 1
 
0.3%
0.83 1
 
0.3%
0.85 1
 
0.3%
0.9 1
 
0.3%
0.96 1
 
0.3%
0.97 1
 
0.3%
0.99 1
 
0.3%
ValueCountFrequency (%)
3.95 1
 
0.3%
3.72 1
 
0.3%
3.68 4
1.1%
3.64 1
 
0.3%
3.58 1
 
0.3%
3.53 1
 
0.3%
3.5 2
0.6%
3.49 1
 
0.3%
3.41 1
 
0.3%
3.37 3
0.8%

후속공정_처리량
Real number (ℝ)

ZEROS 

Distinct161
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.76775
Minimum0
Maximum3.95
Zeros90
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:43.987219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.36
median2.045
Q32.76
95-th percentile3.32
Maximum3.95
Range3.95
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.1877542
Coefficient of variation (CV)0.6719017
Kurtosis-1.1914643
Mean1.76775
Median Absolute Deviation (MAD)0.795
Skewness-0.38667367
Sum636.39
Variance1.4107601
MonotonicityNot monotonic
2023-12-13T05:36:44.122862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 90
 
25.0%
2.34 6
 
1.7%
2.55 5
 
1.4%
2.1 5
 
1.4%
3.2 5
 
1.4%
2.84 5
 
1.4%
2.89 4
 
1.1%
3.68 4
 
1.1%
2.75 4
 
1.1%
3.05 4
 
1.1%
Other values (151) 228
63.3%
ValueCountFrequency (%)
0.0 90
25.0%
0.48 1
 
0.3%
0.59 1
 
0.3%
0.65 1
 
0.3%
0.83 1
 
0.3%
0.85 1
 
0.3%
0.9 1
 
0.3%
0.96 1
 
0.3%
0.97 1
 
0.3%
0.99 1
 
0.3%
ValueCountFrequency (%)
3.95 1
 
0.3%
3.72 1
 
0.3%
3.68 4
1.1%
3.64 1
 
0.3%
3.58 1
 
0.3%
3.53 1
 
0.3%
3.5 2
0.6%
3.49 1
 
0.3%
3.41 1
 
0.3%
3.37 3
0.8%

가성소다_입고량
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean413.02778
Minimum0
Maximum7150
Zeros332
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:44.244134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4932
Maximum7150
Range7150
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1450.7512
Coefficient of variation (CV)3.5124786
Kurtosis10.056961
Mean413.02778
Median Absolute Deviation (MAD)0
Skewness3.3808113
Sum148690
Variance2104679.1
MonotonicityNot monotonic
2023-12-13T05:36:44.415989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 332
92.2%
5170 2
 
0.6%
3950 2
 
0.6%
4340 2
 
0.6%
5060 2
 
0.6%
5040 1
 
0.3%
6550 1
 
0.3%
4930 1
 
0.3%
4800 1
 
0.3%
5080 1
 
0.3%
Other values (15) 15
 
4.2%
ValueCountFrequency (%)
0 332
92.2%
3950 2
 
0.6%
4130 1
 
0.3%
4170 1
 
0.3%
4340 2
 
0.6%
4610 1
 
0.3%
4800 1
 
0.3%
4820 1
 
0.3%
4930 1
 
0.3%
4970 1
 
0.3%
ValueCountFrequency (%)
7150 1
0.3%
7080 1
0.3%
7020 1
0.3%
6980 1
0.3%
6900 1
0.3%
6550 1
0.3%
6080 1
0.3%
6050 1
0.3%
5170 2
0.6%
5160 1
0.3%

가성소다_사용량
Real number (ℝ)

Distinct142
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.70556
Minimum12
Maximum965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:44.587443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile49.45
Q1260
median351.5
Q3571
95-th percentile838.6
Maximum965
Range953
Interquartile range (IQR)311

Descriptive statistics

Standard deviation237.23131
Coefficient of variation (CV)0.57902878
Kurtosis-0.65153764
Mean409.70556
Median Absolute Deviation (MAD)136.5
Skewness0.43917256
Sum147494
Variance56278.693
MonotonicityNot monotonic
2023-12-13T05:36:44.752826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266 14
 
3.9%
329 13
 
3.6%
304 10
 
2.8%
342 10
 
2.8%
291 9
 
2.5%
75 7
 
1.9%
323 7
 
1.9%
367 7
 
1.9%
723 7
 
1.9%
25 7
 
1.9%
Other values (132) 269
74.7%
ValueCountFrequency (%)
12 5
1.4%
25 7
1.9%
36 1
 
0.3%
37 1
 
0.3%
38 3
0.8%
39 1
 
0.3%
50 3
0.8%
62 2
 
0.6%
63 5
1.4%
75 7
1.9%
ValueCountFrequency (%)
965 1
 
0.3%
939 1
 
0.3%
926 1
 
0.3%
913 2
0.6%
901 1
 
0.3%
900 1
 
0.3%
878 1
 
0.3%
876 1
 
0.3%
875 2
0.6%
863 3
0.8%

가성소다_재고량
Real number (ℝ)

Distinct354
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5322.5583
Minimum989
Maximum9536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T05:36:44.910043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum989
5-th percentile2489.85
Q13853.25
median5308
Q36759
95-th percentile8313.35
Maximum9536
Range8547
Interquartile range (IQR)2905.75

Descriptive statistics

Standard deviation1879.8764
Coefficient of variation (CV)0.35319038
Kurtosis-0.82817903
Mean5322.5583
Median Absolute Deviation (MAD)1452
Skewness0.0049073978
Sum1916121
Variance3533935.3
MonotonicityNot monotonic
2023-12-13T05:36:45.084881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5682 2
 
0.6%
8425 2
 
0.6%
6589 2
 
0.6%
3456 2
 
0.6%
3886 2
 
0.6%
4267 2
 
0.6%
7586 1
 
0.3%
7202 1
 
0.3%
3930 1
 
0.3%
4349 1
 
0.3%
Other values (344) 344
95.6%
ValueCountFrequency (%)
989 1
0.3%
1014 1
0.3%
1326 1
0.3%
1356 1
0.3%
1521 1
0.3%
1524 1
0.3%
1711 1
0.3%
1713 1
0.3%
1890 1
0.3%
2015 1
0.3%
ValueCountFrequency (%)
9536 1
0.3%
9504 1
0.3%
9441 1
0.3%
9190 1
0.3%
9074 1
0.3%
8939 1
0.3%
8895 1
0.3%
8840 1
0.3%
8724 1
0.3%
8722 1
0.3%

청관제_입고량
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
312 
<NA>
48 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 312
86.7%
<NA> 48
 
13.3%

Length

2023-12-13T05:36:45.215250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:45.323676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 312
86.7%
na 48
 
13.3%

청관제_사용량
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
312 
<NA>
48 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 312
86.7%
<NA> 48
 
13.3%

Length

2023-12-13T05:36:45.458892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:45.587553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 312
86.7%
na 48
 
13.3%

청관제_재고량
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
0
312 
<NA>
48 

Length

Max length4
Median length1
Mean length1.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 312
86.7%
<NA> 48
 
13.3%

Length

2023-12-13T05:36:45.738221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:36:45.869653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 312
86.7%
na 48
 
13.3%

Sample

일자요일날씨중구_음식물반입량동구_음식물반입량서구_음식물반입량남구_음식물반입량남동구_음식물반입량부평구_음식물반입량계양구_음식물반입량연수구_음식물반입량웅진군_음식물반입량음식물_금일반입량음식물_금일처리량음식물_재고량사료5번_생산량사료5번_반출량전력량_전일검침전력량_금일검침전력량_금일사용량용수량_전일검침용수량_금일검침용수량_금일사용량음식물탈리액_수도권매립음식물탈리액_가좌연계처리음식물탈리액_자체처리협잡물전처리_발생량협잡물전처리_처리량후속공정_발생량후속공정_처리량가성소다_입고량가성소다_사용량가성소다_재고량청관제_입고량청관제_사용량청관제_재고량
02022-01-01토맑음6.111.4710.70000.00028.2728.2705.60.0002.700150.00.01.630.980.980.650.6502077586000
12022-01-02일눈0.00.00.00000.0000.00.000.00.0001.800160.00.00.00.00.00.00.001787408000
22022-01-03월눈6.510.067.2400028.2900102.04102.0407.20.0003.0001091.2723.715.913.573.572.342.3402427166000
32022-01-04화맑음7.4114.4875.1400013.9500110.98110.9808.025.38003.4001694.030.06.433.883.882.552.5502166950000
42022-01-05수맑음4.630.061.4600018.320084.4184.4108.00.0003.2001770.689.69.782.952.951.941.9404656485000
52022-01-06목맑음0.010.8649.1200015.220075.275.2012.026.86003.2002170.620.04.362.632.631.731.7305075978000
62022-01-07금맑음6.880.054.7900016.810078.4878.48011.20.0003.3002392.050.04.552.752.751.81.805275451000
72022-01-08토맑음5.439.1652.8600012.450079.979.9010.80.0003.200230.00.04.632.792.791.841.8405444907000
82022-01-09일맑음0.00.00.00000.0000.00.005.20.0002.500360.00.00.00.00.00.00.004894418000
92022-01-10월맑음6.320.066.3400018.780091.4491.4407.60.0003.2002194.6923.775.33.23.22.12.104124006000
일자요일날씨중구_음식물반입량동구_음식물반입량서구_음식물반입량남구_음식물반입량남동구_음식물반입량부평구_음식물반입량계양구_음식물반입량연수구_음식물반입량웅진군_음식물반입량음식물_금일반입량음식물_금일처리량음식물_재고량사료5번_생산량사료5번_반출량전력량_전일검침전력량_금일검침전력량_금일사용량용수량_전일검침용수량_금일검침용수량_금일사용량음식물탈리액_수도권매립음식물탈리액_가좌연계처리음식물탈리액_자체처리협잡물전처리_발생량협잡물전처리_처리량후속공정_발생량후속공정_처리량가성소다_입고량가성소다_사용량가성소다_재고량청관제_입고량청관제_사용량청관제_재고량
3502022-12-22목맑음5.899.928.440008.040052.2752.2707.224.93004.0004249.970.00.01.831.831.21.20126750<NA><NA><NA>
3512022-12-23금맑음6.00.041.50007.860055.3655.3604.00.0003.0003547.3622.240.01.941.941.271.270256725<NA><NA><NA>
3522022-12-24토맑음4.763.4925.840008.270042.3642.3606.40.0004.000220.00.00.01.481.480.970.970256700<NA><NA><NA>
3532022-12-25일맑음0.00.00.00000.0000.00.000.00.0002.000350.00.00.00.00.00.00.00126688<NA><NA><NA>
3542022-12-26월맑음5.580.050.7800018.10074.4674.4607.20.0004.0003850.1424.310.02.62.61.711.710386650<NA><NA><NA>
3552022-12-27화맑음5.4812.5960.7900010.70089.5689.5608.660.0004.0003449.990.00.03.133.132.062.060366614<NA><NA><NA>
3562022-12-28수눈6.670.041.7100016.150064.5364.53010.2625.47003.0002649.6324.440.02.262.261.481.480256589<NA><NA><NA>
3572022-12-29목맑음5.5610.5635.190007.70059.0159.0103.8625.15004.0003549.990.00.02.062.061.361.360126577<NA><NA><NA>
3582022-12-30금맑음6.960.042.8900015.230065.0865.0806.2924.36004.0003649.9823.830.02.282.281.51.50126565<NA><NA><NA>
3592022-12-31토맑음5.944.4550.890009.380070.6670.6608.00.0003.000330.00.00.02.462.461.621.620126553<NA><NA><NA>