Overview

Dataset statistics

Number of variables10
Number of observations131
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory89.0 B

Variable types

Categorical5
Text1
Numeric3
Boolean1

Dataset

Description전기전자제품및자동차의재활용시스템 내 전기전자제품관리 정보를 제공(의무이행 년도, 제품 명, 재활용 단위 비용(원), 재활용 목표 율, 재활용 의무 율, 회수 단위 비용(원), 회수 목표 율, 회수 의무 율, 평균 중량(kg), 대상 제품 여부)
Author환경부
URLhttps://www.data.go.kr/data/15092375/fileData.do

Alerts

의무이행 년도 has constant value ""Constant
재활용 의무 율 has constant value ""Constant
회수 목표 율 has constant value ""Constant
회수 의무 율 has constant value ""Constant
대상 제품 여부 has constant value ""Constant
평균 중량(kg) has 63 (48.1%) zerosZeros

Reproduction

Analysis started2024-04-06 08:15:32.537528
Analysis finished2024-04-06 08:15:35.664924
Duration3.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의무이행 년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024
131 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024
2nd row2024
3rd row2024
4th row2024
5th row2024

Common Values

ValueCountFrequency (%)
2024 131
100.0%

Length

2024-04-06T17:15:35.800672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:35.993136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024 131
100.0%

제품 명
Text

Distinct88
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T17:15:36.596473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.1984733
Min length2

Characters and Unicode

Total characters812
Distinct characters167
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)35.1%

Sample

1st row가습기
2nd row가습기
3rd row감시카메라
4th row감시카메라
5th row경량세탁기
ValueCountFrequency (%)
자동판매기(온도교환기능 4
 
2.8%
오디오(분리형 3
 
2.1%
외 3
 
2.1%
프린터 3
 
2.1%
태양광패널 3
 
2.1%
텔레비전 2
 
1.4%
전기온수기 2
 
1.4%
영상게임기 2
 
1.4%
족욕기 2
 
1.4%
제습기 2
 
1.4%
Other values (79) 117
81.8%
2024-04-06T17:15:37.625451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 105
 
12.9%
전 39
 
4.8%
) 27
 
3.3%
( 27
 
3.3%
이 16
 
2.0%
자 15
 
1.8%
터 15
 
1.8%
오 14
 
1.7%
12
 
1.5%
레 11
 
1.4%
Other values (157) 531
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 717
88.3%
Close Punctuation 27
 
3.3%
Open Punctuation 27
 
3.3%
Uppercase Letter 15
 
1.8%
Space Separator 12
 
1.5%
Other Punctuation 12
 
1.5%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 105
 
14.6%
전 39
 
5.4%
이 16
 
2.2%
자 15
 
2.1%
터 15
 
2.1%
오 14
 
2.0%
레 11
 
1.5%
비 11
 
1.5%
디 11
 
1.5%
품 10
 
1.4%
Other values (144) 470
65.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
26.7%
D 3
20.0%
T 2
13.3%
R 2
13.3%
P 2
13.3%
L 2
13.3%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
· 5
41.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 717
88.3%
Common 80
 
9.9%
Latin 15
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 105
 
14.6%
전 39
 
5.4%
이 16
 
2.2%
자 15
 
2.1%
터 15
 
2.1%
오 14
 
2.0%
레 11
 
1.5%
비 11
 
1.5%
디 11
 
1.5%
품 10
 
1.4%
Other values (144) 470
65.6%
Common
ValueCountFrequency (%)
) 27
33.8%
( 27
33.8%
12
15.0%
, 7
 
8.8%
· 5
 
6.2%
1 1
 
1.2%
2 1
 
1.2%
Latin
ValueCountFrequency (%)
C 4
26.7%
D 3
20.0%
T 2
13.3%
R 2
13.3%
P 2
13.3%
L 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 717
88.3%
ASCII 90
 
11.1%
None 5
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 105
 
14.6%
전 39
 
5.4%
이 16
 
2.2%
자 15
 
2.1%
터 15
 
2.1%
오 14
 
2.0%
레 11
 
1.5%
비 11
 
1.5%
디 11
 
1.5%
품 10
 
1.4%
Other values (144) 470
65.6%
ASCII
ValueCountFrequency (%)
) 27
30.0%
( 27
30.0%
12
13.3%
, 7
 
7.8%
C 4
 
4.4%
D 3
 
3.3%
T 2
 
2.2%
R 2
 
2.2%
P 2
 
2.2%
L 2
 
2.2%
Other values (2) 2
 
2.2%
None
ValueCountFrequency (%)
· 5
100.0%

재활용 단위 비용(원)
Real number (ℝ)

Distinct8
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean846.77863
Minimum0
Maximum4123
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T17:15:37.872174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile470
Q1611
median950
Q3950
95-th percentile950
Maximum4123
Range4123
Interquartile range (IQR)339

Descriptive statistics

Standard deviation457.67006
Coefficient of variation (CV)0.54048371
Kurtosis39.431446
Mean846.77863
Median Absolute Deviation (MAD)0
Skewness5.5659427
Sum110928
Variance209461.88
MonotonicityNot monotonic
2024-04-06T17:15:38.127885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
950 72
55.0%
811 17
 
13.0%
470 16
 
12.2%
611 11
 
8.4%
480 10
 
7.6%
4123 2
 
1.5%
727 2
 
1.5%
0 1
 
0.8%
ValueCountFrequency (%)
0 1
 
0.8%
470 16
 
12.2%
480 10
 
7.6%
611 11
 
8.4%
727 2
 
1.5%
811 17
 
13.0%
950 72
55.0%
4123 2
 
1.5%
ValueCountFrequency (%)
4123 2
 
1.5%
950 72
55.0%
811 17
 
13.0%
727 2
 
1.5%
611 11
 
8.4%
480 10
 
7.6%
470 16
 
12.2%
0 1
 
0.8%

재활용 목표 율
Categorical

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0.0
61 
0.75
53 
0.8
10 
0.7
7 

Length

Max length4
Median length3
Mean length3.4045802
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.75
3rd row0.0
4th row0.75
5th row0.75

Common Values

ValueCountFrequency (%)
0.0 61
46.6%
0.75 53
40.5%
0.8 10
 
7.6%
0.7 7
 
5.3%

Length

2024-04-06T17:15:38.408089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:38.649361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 61
46.6%
0.75 53
40.5%
0.8 10
 
7.6%
0.7 7
 
5.3%

재활용 의무 율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
131 

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 (%)
0 131
100.0%

Length

2024-04-06T17:15:38.870206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:39.187156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 131
100.0%

회수 단위 비용(원)
Real number (ℝ)

Distinct8
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.67939
Minimum0
Maximum3413
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T17:15:39.403141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122
Q1156
median156
Q3156
95-th percentile174
Maximum3413
Range3413
Interquartile range (IQR)0

Descriptive statistics

Standard deviation401.60406
Coefficient of variation (CV)1.9717462
Kurtosis62.634488
Mean203.67939
Median Absolute Deviation (MAD)0
Skewness7.9695414
Sum26682
Variance161285.82
MonotonicityNot monotonic
2024-04-06T17:15:39.758137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
156 72
55.0%
166 17
 
13.0%
155 16
 
12.2%
174 11
 
8.4%
122 10
 
7.6%
3413 2
 
1.5%
94 2
 
1.5%
0 1
 
0.8%
ValueCountFrequency (%)
0 1
 
0.8%
94 2
 
1.5%
122 10
 
7.6%
155 16
 
12.2%
156 72
55.0%
166 17
 
13.0%
174 11
 
8.4%
3413 2
 
1.5%
ValueCountFrequency (%)
3413 2
 
1.5%
174 11
 
8.4%
166 17
 
13.0%
156 72
55.0%
155 16
 
12.2%
122 10
 
7.6%
94 2
 
1.5%
0 1
 
0.8%

회수 목표 율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
131 

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 (%)
0 131
100.0%

Length

2024-04-06T17:15:40.089834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:40.371083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 131
100.0%

회수 의무 율
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
131 

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 (%)
0 131
100.0%

Length

2024-04-06T17:15:40.580743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:40.758731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 131
100.0%

평균 중량(kg)
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.056031
Minimum0
Maximum307.09
Zeros63
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T17:15:41.021738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.59
Q35.54
95-th percentile48.545
Maximum307.09
Range307.09
Interquartile range (IQR)5.54

Descriptive statistics

Standard deviation31.786325
Coefficient of variation (CV)3.1609217
Kurtosis60.025415
Mean10.056031
Median Absolute Deviation (MAD)0.59
Skewness6.9824193
Sum1317.34
Variance1010.3705
MonotonicityNot monotonic
2024-04-06T17:15:41.350423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 63
48.1%
4.33 2
 
1.5%
8.39 1
 
0.8%
12.43 1
 
0.8%
3.31 1
 
0.8%
0.97 1
 
0.8%
19.02 1
 
0.8%
17.8 1
 
0.8%
104.17 1
 
0.8%
15.46 1
 
0.8%
Other values (58) 58
44.3%
ValueCountFrequency (%)
0.0 63
48.1%
0.26 1
 
0.8%
0.45 1
 
0.8%
0.59 1
 
0.8%
0.73 1
 
0.8%
0.77 1
 
0.8%
0.9 1
 
0.8%
0.97 1
 
0.8%
1.25 1
 
0.8%
1.41 1
 
0.8%
ValueCountFrequency (%)
307.09 1
0.8%
104.17 1
0.8%
101.93 1
0.8%
86.21 1
0.8%
74.39 1
0.8%
56.68 1
0.8%
50.64 1
0.8%
46.45 1
0.8%
36.6 1
0.8%
31.7 1
0.8%

대상 제품 여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size263.0 B
True
131 
ValueCountFrequency (%)
True 131
100.0%
2024-04-06T17:15:42.106352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-04-06T17:15:34.383303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:33.032827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:33.535855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:34.658739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:33.170958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:33.710234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:34.857621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:33.335365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:33.909542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:15:42.235932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품 명재활용 단위 비용(원)재활용 목표 율회수 단위 비용(원)평균 중량(kg)
제품 명1.0000.8440.0001.0000.865
재활용 단위 비용(원)0.8441.0000.5581.0000.099
재활용 목표 율0.0000.5581.0000.2190.148
회수 단위 비용(원)1.0001.0000.2191.0000.000
평균 중량(kg)0.8650.0990.1480.0001.000
2024-04-06T17:15:42.483985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재활용 단위 비용(원)회수 단위 비용(원)평균 중량(kg)재활용 목표 율
재활용 단위 비용(원)1.0000.299-0.1880.245
회수 단위 비용(원)0.2991.000-0.1150.144
평균 중량(kg)-0.188-0.1151.0000.120
재활용 목표 율0.2450.1440.1201.000

Missing values

2024-04-06T17:15:35.223498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:15:35.550908image/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

의무이행 년도제품 명재활용 단위 비용(원)재활용 목표 율재활용 의무 율회수 단위 비용(원)회수 목표 율회수 의무 율평균 중량(kg)대상 제품 여부
02024가습기9500.00156000.0Y
12024가습기9500.750156001.58Y
22024감시카메라9500.00156000.0Y
32024감시카메라9500.750156000.9Y
42024경량세탁기4800.7501220024.83Y
52024공기청정기9500.00156000.0Y
62024공기청정기9500.750156009.83Y
72024기본형냉장고4700.75015500101.93Y
82024기본형세탁기4800.7501220046.45Y
92024김치,와인냉장고4700.7501550056.68Y
의무이행 년도제품 명재활용 단위 비용(원)재활용 목표 율재활용 의무 율회수 단위 비용(원)회수 목표 율회수 의무 율평균 중량(kg)대상 제품 여부
1212024토스트기9500.750156001.54Y
1222024통신·사무기기8110.00166000.0Y
1232024튀김기9500.00156000.0Y
1242024튀김기9500.750156004.77Y
1252024팩시밀리8110.00166000.0Y
1262024팩시밀리8110.80166003.9Y
1272024프린터8110.00166000.0Y
1282024헤어드라이어9500.00156000.0Y
1292024헤어드라이어9500.750156000.77Y
1302024화장품냉장고4700.750155006.34Y