Overview

Dataset statistics

Number of variables5
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory42.7 B

Variable types

Categorical2
Text2
Numeric1

Dataset

Description전라북도 고창군 대형폐기물 처리 수수료 정보(폐기물 구분, 폐기물 명, 폐기물 규격, 폐기물 수수료)에 대한 데이터
Author전라북도 고창군
URLhttps://www.data.go.kr/data/15096967/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
폐기물 구분 is highly imbalanced (60.8%)Imbalance

Reproduction

Analysis started2023-12-12 10:33:38.908139
Analysis finished2023-12-12 10:33:39.432838
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐기물 구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
가구류
69 
가전제품
 
6
소화기류
 
3

Length

Max length4
Median length3
Mean length3.1153846
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가구류 69
88.5%
가전제품 6
 
7.7%
소화기류 3
 
3.8%

Length

2023-12-12T19:33:39.514905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:33:39.632090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가구류 69
88.5%
가전제품 6
 
7.7%
소화기류 3
 
3.8%

폐기물 명
Text

Distinct47
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T19:33:39.854831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length3.6025641
Min length2

Characters and Unicode

Total characters281
Distinct characters105
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)29.5%

Sample

1st row장롱
2nd row장롱
3rd row소파
4th row소파
5th row소파
ValueCountFrequency (%)
폐소화기 3
 
3.5%
씽크대 3
 
3.5%
의자 3
 
3.5%
소파 3
 
3.5%
기타가전제품 3
 
3.5%
및 3
 
3.5%
사무용제품 3
 
3.5%
보일러통 3
 
3.5%
서랍장 3
 
3.5%
난로 2
 
2.3%
Other values (38) 57
66.3%
2023-12-12T19:33:40.286100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 14
 
5.0%
장 12
 
4.3%
10
 
3.6%
대 8
 
2.8%
품 6
 
2.1%
제 6
 
2.1%
소 6
 
2.1%
의 5
 
1.8%
크 5
 
1.8%
통 5
 
1.8%
Other values (95) 204
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
93.6%
Space Separator 10
 
3.6%
Other Punctuation 6
 
2.1%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 14
 
5.3%
장 12
 
4.6%
대 8
 
3.0%
품 6
 
2.3%
제 6
 
2.3%
소 6
 
2.3%
의 5
 
1.9%
크 5
 
1.9%
통 5
 
1.9%
파 5
 
1.9%
Other values (90) 191
72.6%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
· 2
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
93.6%
Common 18
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 14
 
5.3%
장 12
 
4.6%
대 8
 
3.0%
품 6
 
2.3%
제 6
 
2.3%
소 6
 
2.3%
의 5
 
1.9%
크 5
 
1.9%
통 5
 
1.9%
파 5
 
1.9%
Other values (90) 191
72.6%
Common
ValueCountFrequency (%)
10
55.6%
, 4
 
22.2%
· 2
 
11.1%
( 1
 
5.6%
) 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
93.6%
ASCII 16
 
5.7%
None 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 14
 
5.3%
장 12
 
4.6%
대 8
 
3.0%
품 6
 
2.3%
제 6
 
2.3%
소 6
 
2.3%
의 5
 
1.9%
크 5
 
1.9%
통 5
 
1.9%
파 5
 
1.9%
Other values (90) 191
72.6%
ASCII
ValueCountFrequency (%)
10
62.5%
, 4
 
25.0%
( 1
 
6.2%
) 1
 
6.2%
None
ValueCountFrequency (%)
· 2
100.0%

폐기물 규격
Text

Distinct46
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T19:33:40.589844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.7179487
Min length2

Characters and Unicode

Total characters368
Distinct characters73
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)51.3%

Sample

1st row120cm장 1쪽
2nd row90cm장 1쪽
3rd row대형 6인용
4th row소형 4인용
5th row1인용(개당)
ValueCountFrequency (%)
소형 12
 
10.3%
대형 12
 
10.3%
모든 8
 
6.9%
규격 8
 
6.9%
개당 7
 
6.0%
이상 6
 
5.2%
미만 4
 
3.4%
2인용 3
 
2.6%
6인용 3
 
2.6%
x 3
 
2.6%
Other values (39) 50
43.1%
2023-12-12T19:33:41.050131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
12.2%
형 27
 
7.3%
대 16
 
4.3%
0 15
 
4.1%
1 13
 
3.5%
소 12
 
3.3%
m 12
 
3.3%
이 11
 
3.0%
용 11
 
3.0%
인 11
 
3.0%
Other values (63) 195
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
57.6%
Decimal Number 58
 
15.8%
Space Separator 45
 
12.2%
Lowercase Letter 34
 
9.2%
Other Punctuation 9
 
2.4%
Close Punctuation 3
 
0.8%
Open Punctuation 3
 
0.8%
Uppercase Letter 3
 
0.8%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
형 27
 
12.7%
대 16
 
7.5%
소 12
 
5.7%
이 11
 
5.2%
용 11
 
5.2%
인 11
 
5.2%
당 8
 
3.8%
개 8
 
3.8%
격 8
 
3.8%
규 8
 
3.8%
Other values (40) 92
43.4%
Decimal Number
ValueCountFrequency (%)
0 15
25.9%
1 13
22.4%
2 7
12.1%
3 5
 
8.6%
5 5
 
8.6%
6 5
 
8.6%
9 4
 
6.9%
4 3
 
5.2%
8 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
m 12
35.3%
g 7
20.6%
k 7
20.6%
c 7
20.6%
x 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
· 2
 
22.2%
, 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
X 2
66.7%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
57.6%
Common 119
32.3%
Latin 37
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
형 27
 
12.7%
대 16
 
7.5%
소 12
 
5.7%
이 11
 
5.2%
용 11
 
5.2%
인 11
 
5.2%
당 8
 
3.8%
개 8
 
3.8%
격 8
 
3.8%
규 8
 
3.8%
Other values (40) 92
43.4%
Common
ValueCountFrequency (%)
45
37.8%
0 15
 
12.6%
1 13
 
10.9%
2 7
 
5.9%
. 6
 
5.0%
3 5
 
4.2%
5 5
 
4.2%
6 5
 
4.2%
9 4
 
3.4%
) 3
 
2.5%
Other values (6) 11
 
9.2%
Latin
ValueCountFrequency (%)
m 12
32.4%
g 7
18.9%
k 7
18.9%
c 7
18.9%
X 2
 
5.4%
x 1
 
2.7%
L 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
57.6%
ASCII 154
41.8%
None 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
29.2%
0 15
 
9.7%
1 13
 
8.4%
m 12
 
7.8%
2 7
 
4.5%
g 7
 
4.5%
k 7
 
4.5%
c 7
 
4.5%
. 6
 
3.9%
3 5
 
3.2%
Other values (12) 30
19.5%
Hangul
ValueCountFrequency (%)
형 27
 
12.7%
대 16
 
7.5%
소 12
 
5.7%
이 11
 
5.2%
용 11
 
5.2%
인 11
 
5.2%
당 8
 
3.8%
개 8
 
3.8%
격 8
 
3.8%
규 8
 
3.8%
Other values (40) 92
43.4%
None
ValueCountFrequency (%)
· 2
100.0%

수수료
Real number (ℝ)

Distinct11
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5089.7436
Minimum1000
Maximum22000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T19:33:41.203483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1850
Q12000
median4000
Q36000
95-th percentile15000
Maximum22000
Range21000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation3954.8947
Coefficient of variation (CV)0.77703221
Kurtosis4.2169233
Mean5089.7436
Median Absolute Deviation (MAD)2000
Skewness1.8850745
Sum397000
Variance15641192
MonotonicityNot monotonic
2023-12-12T19:33:41.317172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2000 19
24.4%
4000 13
16.7%
5000 10
12.8%
3000 10
12.8%
10000 7
 
9.0%
8000 5
 
6.4%
15000 4
 
5.1%
6000 4
 
5.1%
1000 4
 
5.1%
7000 1
 
1.3%
ValueCountFrequency (%)
1000 4
 
5.1%
2000 19
24.4%
3000 10
12.8%
4000 13
16.7%
5000 10
12.8%
6000 4
 
5.1%
7000 1
 
1.3%
8000 5
 
6.4%
10000 7
 
9.0%
15000 4
 
5.1%
ValueCountFrequency (%)
22000 1
 
1.3%
15000 4
 
5.1%
10000 7
 
9.0%
8000 5
 
6.4%
7000 1
 
1.3%
6000 4
 
5.1%
5000 10
12.8%
4000 13
16.7%
3000 10
12.8%
2000 19
24.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
2021-12-21
78 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-21
2nd row2021-12-21
3rd row2021-12-21
4th row2021-12-21
5th row2021-12-21

Common Values

ValueCountFrequency (%)
2021-12-21 78
100.0%

Length

2023-12-12T19:33:41.485774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:33:41.625598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-21 78
100.0%

Interactions

2023-12-12T19:33:39.157683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:33:41.724792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물 구분폐기물 명폐기물 규격수수료
폐기물 구분1.0001.0000.8780.000
폐기물 명1.0001.0000.0000.000
폐기물 규격0.8780.0001.0000.834
수수료0.0000.0000.8341.000
2023-12-12T19:33:41.849011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수수료폐기물 구분
수수료1.0000.000
폐기물 구분0.0001.000

Missing values

2023-12-12T19:33:39.272816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:33:39.389857image/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

폐기물 구분폐기물 명폐기물 규격수수료데이터기준일자
0가구류장롱120cm장 1쪽150002021-12-21
1가구류장롱90cm장 1쪽100002021-12-21
2가구류소파대형 6인용80002021-12-21
3가구류소파소형 4인용50002021-12-21
4가구류소파1인용(개당)20002021-12-21
5가구류책상양수 · 대형50002021-12-21
6가구류책상편수 · 소형40002021-12-21
7가구류식탁6인용 이상50002021-12-21
8가구류식탁6인용 미만40002021-12-21
9가구류돌식탁모든 규격70002021-12-21
폐기물 구분폐기물 명폐기물 규격수수료데이터기준일자
68가구류의자중형20002021-12-21
69가구류의자소형10002021-12-21
70가구류안마의자모든 규격100002021-12-21
71가구류씽크대씽크대, 조리대40002021-12-21
72가구류씽크대식기대20002021-12-21
73가구류씽크대조리대20002021-12-21
74가전제품헬스기구헬스자전거100002021-12-21
75소화기류폐소화기20kg초과30002021-12-21
76소화기류폐소화기4.5kg초과~20kg이하20002021-12-21
77소화기류폐소화기4.5kg이하10002021-12-21