Overview

Dataset statistics

Number of variables5
Number of observations161
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory41.8 B

Variable types

Text2
Numeric1
Categorical2

Dataset

Description경기도 파주시 대형폐기물 처리수수료에 대한 데이터로서 기관명, 품명(장롱, 침대, 매트리스, 쇼파, 의자 등), 규격별 수수료 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3044870/fileData.do

Alerts

기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 13:53:55.122303
Analysis finished2023-12-12 13:53:55.613392
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품명
Text

Distinct116
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:53:55.871155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length5.136646
Min length2

Characters and Unicode

Total characters827
Distinct characters209
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)50.3%

Sample

1st row장롱
2nd row장롱
3rd row장롱
4th row비키니옷장
5th row침 대프레임
ValueCountFrequency (%)
부품파손 14
 
6.9%
쇼파 4
 
2.0%
매트리스 4
 
2.0%
간판 3
 
1.5%
책상 3
 
1.5%
침 3
 
1.5%
장롱 3
 
1.5%
식탁(테이블 3
 
1.5%
시계 3
 
1.5%
의자 3
 
1.5%
Other values (124) 159
78.7%
2023-12-12T22:53:56.374107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
5.0%
) 34
 
4.1%
( 34
 
4.1%
파 25
 
3.0%
기 25
 
3.0%
장 22
 
2.7%
부 21
 
2.5%
트 16
 
1.9%
손 16
 
1.9%
품 16
 
1.9%
Other values (199) 577
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 690
83.4%
Space Separator 41
 
5.0%
Close Punctuation 34
 
4.1%
Open Punctuation 34
 
4.1%
Math Symbol 13
 
1.6%
Lowercase Letter 6
 
0.7%
Decimal Number 5
 
0.6%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 25
 
3.6%
기 25
 
3.6%
장 22
 
3.2%
부 21
 
3.0%
트 16
 
2.3%
손 16
 
2.3%
품 16
 
2.3%
이 15
 
2.2%
스 15
 
2.2%
자 12
 
1.7%
Other values (189) 507
73.5%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
5 1
 
20.0%
6 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 5
83.3%
c 1
 
16.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 690
83.4%
Common 131
 
15.8%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 25
 
3.6%
기 25
 
3.6%
장 22
 
3.2%
부 21
 
3.0%
트 16
 
2.3%
손 16
 
2.3%
품 16
 
2.3%
이 15
 
2.2%
스 15
 
2.2%
자 12
 
1.7%
Other values (189) 507
73.5%
Common
ValueCountFrequency (%)
41
31.3%
) 34
26.0%
( 34
26.0%
+ 13
 
9.9%
, 4
 
3.1%
3 3
 
2.3%
5 1
 
0.8%
6 1
 
0.8%
Latin
ValueCountFrequency (%)
m 5
83.3%
c 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 690
83.4%
ASCII 137
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
29.9%
) 34
24.8%
( 34
24.8%
+ 13
 
9.5%
m 5
 
3.6%
, 4
 
2.9%
3 3
 
2.2%
5 1
 
0.7%
6 1
 
0.7%
c 1
 
0.7%
Hangul
ValueCountFrequency (%)
파 25
 
3.6%
기 25
 
3.6%
장 22
 
3.2%
부 21
 
3.0%
트 16
 
2.3%
손 16
 
2.3%
품 16
 
2.3%
이 15
 
2.2%
스 15
 
2.2%
자 12
 
1.7%
Other values (189) 507
73.5%

규격
Text

Distinct77
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:53:56.660550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.3043478
Min length2

Characters and Unicode

Total characters854
Distinct characters107
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)39.8%

Sample

1st row폭 90cm 미만
2nd row폭 120cm 미만
3rd row폭 120cm 이상
4th row모든 규격
5th row유아용
ValueCountFrequency (%)
모든 67
22.6%
규격 66
22.2%
이상 28
 
9.4%
미만 19
 
6.4%
당 8
 
2.7%
1인용 6
 
2.0%
1m 6
 
2.0%
2인용 5
 
1.7%
50cm 4
 
1.3%
5단 4
 
1.3%
Other values (60) 84
28.3%
2023-12-12T22:53:57.063213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
15.9%
모 67
 
7.8%
규 67
 
7.8%
격 67
 
7.8%
든 67
 
7.8%
이 34
 
4.0%
상 29
 
3.4%
0 25
 
2.9%
용 25
 
2.9%
1 24
 
2.8%
Other values (97) 313
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
63.2%
Space Separator 136
 
15.9%
Decimal Number 110
 
12.9%
Lowercase Letter 47
 
5.5%
Other Symbol 6
 
0.7%
Math Symbol 5
 
0.6%
Uppercase Letter 3
 
0.4%
Other Punctuation 3
 
0.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
모 67
12.4%
규 67
12.4%
격 67
12.4%
든 67
12.4%
이 34
 
6.3%
상 29
 
5.4%
용 25
 
4.6%
인 21
 
3.9%
미 20
 
3.7%
만 19
 
3.5%
Other values (77) 124
23.0%
Decimal Number
ValueCountFrequency (%)
0 25
22.7%
1 24
21.8%
2 14
12.7%
5 12
10.9%
6 11
10.0%
4 11
10.0%
3 10
 
9.1%
8 2
 
1.8%
9 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
m 24
51.1%
c 15
31.9%
k 4
 
8.5%
g 4
 
8.5%
Space Separator
ValueCountFrequency (%)
136
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
63.2%
Common 264
30.9%
Latin 50
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
모 67
12.4%
규 67
12.4%
격 67
12.4%
든 67
12.4%
이 34
 
6.3%
상 29
 
5.4%
용 25
 
4.6%
인 21
 
3.9%
미 20
 
3.7%
만 19
 
3.5%
Other values (77) 124
23.0%
Common
ValueCountFrequency (%)
136
51.5%
0 25
 
9.5%
1 24
 
9.1%
2 14
 
5.3%
5 12
 
4.5%
6 11
 
4.2%
4 11
 
4.2%
3 10
 
3.8%
㎡ 6
 
2.3%
+ 5
 
1.9%
Other values (5) 10
 
3.8%
Latin
ValueCountFrequency (%)
m 24
48.0%
c 15
30.0%
k 4
 
8.0%
g 4
 
8.0%
L 3
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
63.2%
ASCII 308
36.1%
CJK Compat 6
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
44.2%
0 25
 
8.1%
1 24
 
7.8%
m 24
 
7.8%
c 15
 
4.9%
2 14
 
4.5%
5 12
 
3.9%
6 11
 
3.6%
4 11
 
3.6%
3 10
 
3.2%
Other values (9) 26
 
8.4%
Hangul
ValueCountFrequency (%)
모 67
12.4%
규 67
12.4%
격 67
12.4%
든 67
12.4%
이 34
 
6.3%
상 29
 
5.4%
용 25
 
4.6%
인 21
 
3.9%
미 20
 
3.7%
만 19
 
3.5%
Other values (77) 124
23.0%
CJK Compat
ValueCountFrequency (%)
㎡ 6
100.0%

수수료
Real number (ℝ)

Distinct12
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4111.8012
Minimum1000
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T22:53:57.202282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1000
Q12000
median3000
Q35000
95-th percentile10000
Maximum25000
Range24000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation3684.4161
Coefficient of variation (CV)0.89605891
Kurtosis12.092975
Mean4111.8012
Median Absolute Deviation (MAD)1000
Skewness3.1586712
Sum662000
Variance13574922
MonotonicityNot monotonic
2023-12-12T22:53:57.653582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2000 46
28.6%
3000 27
16.8%
5000 24
14.9%
4000 23
14.3%
1000 16
 
9.9%
6000 7
 
4.3%
8000 6
 
3.7%
15000 3
 
1.9%
7000 3
 
1.9%
20000 3
 
1.9%
Other values (2) 3
 
1.9%
ValueCountFrequency (%)
1000 16
 
9.9%
2000 46
28.6%
3000 27
16.8%
4000 23
14.3%
5000 24
14.9%
6000 7
 
4.3%
7000 3
 
1.9%
8000 6
 
3.7%
10000 2
 
1.2%
15000 3
 
1.9%
ValueCountFrequency (%)
25000 1
 
0.6%
20000 3
 
1.9%
15000 3
 
1.9%
10000 2
 
1.2%
8000 6
 
3.7%
7000 3
 
1.9%
6000 7
 
4.3%
5000 24
14.9%
4000 23
14.3%
3000 27
16.8%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
경기도 파주시청
161 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 161
100.0%

Length

2023-12-12T22:53:57.781209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:57.890356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 161
50.0%
파주시청 161
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-08-01
161 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-01
2nd row2023-08-01
3rd row2023-08-01
4th row2023-08-01
5th row2023-08-01

Common Values

ValueCountFrequency (%)
2023-08-01 161
100.0%

Length

2023-12-12T22:53:57.993027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:58.089931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-01 161
100.0%

Interactions

2023-12-12T22:53:55.366543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:53:58.154863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규격수수료
규격1.0000.664
수수료0.6641.000

Missing values

2023-12-12T22:53:55.478286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:53:55.569800image/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

품명규격수수료기관명데이터기준일자
0장롱폭 90cm 미만6000경기도 파주시청2023-08-01
1장롱폭 120cm 미만10000경기도 파주시청2023-08-01
2장롱폭 120cm 이상15000경기도 파주시청2023-08-01
3비키니옷장모든 규격2000경기도 파주시청2023-08-01
4침 대프레임유아용2000경기도 파주시청2023-08-01
5침 대프레임1인용4000경기도 파주시청2023-08-01
6침 대프레임2인용 이상7000경기도 파주시청2023-08-01
7매트리스 깔판1세트3000경기도 파주시청2023-08-01
8매트리스유아용3000경기도 파주시청2023-08-01
9매트리스1인용6000경기도 파주시청2023-08-01
품명규격수수료기관명데이터기준일자
151(부품파손) 세탁기모든 규격5000경기도 파주시청2023-08-01
152(부품파손) 텔레비전모든 규격5000경기도 파주시청2023-08-01
153(부품파손) 오디오세트모든 규격5000경기도 파주시청2023-08-01
154(부품파손) 복사기모든 규격5000경기도 파주시청2023-08-01
155(부품파손) 건조기모든 규격5000경기도 파주시청2023-08-01
156(부품파손) 식기세척기모든 규격5000경기도 파주시청2023-08-01
157(부품파손) 식기건조기모든 규격5000경기도 파주시청2023-08-01
158(부품파손) 공기청정기모든 규격4000경기도 파주시청2023-08-01
159(부품파손)냉온수기모든 규격4000경기도 파주시청2023-08-01
160(부품파손)전기오븐모든 규격4000경기도 파주시청2023-08-01