Overview

Dataset statistics

Number of variables4
Number of observations183
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory34.7 B

Variable types

Numeric2
Text2

Dataset

Description인천광역시 부평구 대형폐기물 수수료 현황 데이터는 대형폐기물 품목, 폐기물의 규격, 해당 가격에 대한 데이터를 제공합니다
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103769&srcSe=7661IVAWM27C61E190

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:18:03.720934
Analysis finished2024-01-28 05:18:04.403754
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92
Minimum1
Maximum183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-28T14:18:04.460847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.1
Q146.5
median92
Q3137.5
95-th percentile173.9
Maximum183
Range182
Interquartile range (IQR)91

Descriptive statistics

Standard deviation52.971691
Coefficient of variation (CV)0.57577925
Kurtosis-1.2
Mean92
Median Absolute Deviation (MAD)46
Skewness0
Sum16836
Variance2806
MonotonicityStrictly increasing
2024-01-28T14:18:04.580379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
127 1
 
0.5%
118 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
Other values (173) 173
94.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%
174 1
0.5%

품목
Text

Distinct92
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T14:18:04.828855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length4.4808743
Min length2

Characters and Unicode

Total characters820
Distinct characters187
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)24.0%

Sample

1st row거울
2nd row거울
3rd row다리미판
4th row돗자리
5th row돗자리
ValueCountFrequency (%)
소파(분리기준 11
 
5.7%
침대틀 8
 
4.1%
책상 6
 
3.1%
식탁 6
 
3.1%
장롱(1쪽당 4
 
2.1%
진열장 3
 
1.5%
아이스박스 3
 
1.5%
액자 3
 
1.5%
카펫 3
 
1.5%
피아노 3
 
1.5%
Other values (90) 144
74.2%
2024-01-28T14:18:05.211919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 42
 
5.1%
) 42
 
5.1%
기 29
 
3.5%
장 28
 
3.4%
리 24
 
2.9%
대 19
 
2.3%
스 18
 
2.2%
소 16
 
2.0%
판 15
 
1.8%
트 15
 
1.8%
Other values (177) 572
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 708
86.3%
Open Punctuation 42
 
5.1%
Close Punctuation 42
 
5.1%
Space Separator 12
 
1.5%
Other Punctuation 6
 
0.7%
Uppercase Letter 6
 
0.7%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 29
 
4.1%
장 28
 
4.0%
리 24
 
3.4%
대 19
 
2.7%
스 18
 
2.5%
소 16
 
2.3%
판 15
 
2.1%
트 15
 
2.1%
자 15
 
2.1%
분 14
 
2.0%
Other values (169) 515
72.7%
Uppercase Letter
ValueCountFrequency (%)
F 2
33.3%
R 2
33.3%
P 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 708
86.3%
Common 106
 
12.9%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 29
 
4.1%
장 28
 
4.0%
리 24
 
3.4%
대 19
 
2.7%
스 18
 
2.5%
소 16
 
2.3%
판 15
 
2.1%
트 15
 
2.1%
자 15
 
2.1%
분 14
 
2.0%
Other values (169) 515
72.7%
Common
ValueCountFrequency (%)
( 42
39.6%
) 42
39.6%
12
 
11.3%
, 6
 
5.7%
1 4
 
3.8%
Latin
ValueCountFrequency (%)
F 2
33.3%
R 2
33.3%
P 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 708
86.3%
ASCII 112
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 42
37.5%
) 42
37.5%
12
 
10.7%
, 6
 
5.4%
1 4
 
3.6%
F 2
 
1.8%
R 2
 
1.8%
P 2
 
1.8%
Hangul
ValueCountFrequency (%)
기 29
 
4.1%
장 28
 
4.0%
리 24
 
3.4%
대 19
 
2.7%
스 18
 
2.5%
소 16
 
2.3%
판 15
 
2.1%
트 15
 
2.1%
자 15
 
2.1%
분 14
 
2.0%
Other values (169) 515
72.7%

규격
Text

Distinct141
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T14:18:05.473413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.3497268
Min length2

Characters and Unicode

Total characters1345
Distinct characters186
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)73.8%

Sample

1st row반신거울, 대(1M이상)
2nd row반신거울, 소(1M미만)
3rd row모든규격
4th row대자리를 제외한 모든규격
5th row대자리
ValueCountFrequency (%)
모든규격 39
 
14.0%
미만 16
 
5.8%
이상 11
 
4.0%
너비 6
 
2.2%
높이 5
 
1.8%
이하 5
 
1.8%
90cm 4
 
1.4%
1인용 3
 
1.1%
초과 3
 
1.1%
1m 3
 
1.1%
Other values (157) 183
65.8%
2024-01-28T14:18:05.832348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
7.2%
) 76
 
5.7%
( 76
 
5.7%
M 60
 
4.5%
이 57
 
4.2%
용 45
 
3.3%
1 44
 
3.3%
모 41
 
3.0%
규 39
 
2.9%
격 39
 
2.9%
Other values (176) 771
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 831
61.8%
Decimal Number 143
 
10.6%
Space Separator 97
 
7.2%
Uppercase Letter 84
 
6.2%
Close Punctuation 76
 
5.7%
Open Punctuation 76
 
5.7%
Other Punctuation 28
 
2.1%
Math Symbol 6
 
0.4%
Letter Number 3
 
0.2%
Other Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 57
 
6.9%
용 45
 
5.4%
모 41
 
4.9%
규 39
 
4.7%
격 39
 
4.7%
든 39
 
4.7%
대 31
 
3.7%
상 27
 
3.2%
미 27
 
3.2%
만 26
 
3.1%
Other values (155) 460
55.4%
Decimal Number
ValueCountFrequency (%)
1 44
30.8%
0 31
21.7%
2 19
13.3%
5 17
 
11.9%
6 11
 
7.7%
3 9
 
6.3%
4 6
 
4.2%
9 4
 
2.8%
7 2
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
M 60
71.4%
C 18
 
21.4%
K 3
 
3.6%
G 3
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 15
53.6%
, 13
46.4%
Space Separator
ValueCountFrequency (%)
97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 3
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 831
61.8%
Common 427
31.7%
Latin 87
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 57
 
6.9%
용 45
 
5.4%
모 41
 
4.9%
규 39
 
4.7%
격 39
 
4.7%
든 39
 
4.7%
대 31
 
3.7%
상 27
 
3.2%
미 27
 
3.2%
만 26
 
3.1%
Other values (155) 460
55.4%
Common
ValueCountFrequency (%)
97
22.7%
) 76
17.8%
( 76
17.8%
1 44
10.3%
0 31
 
7.3%
2 19
 
4.4%
5 17
 
4.0%
. 15
 
3.5%
, 13
 
3.0%
6 11
 
2.6%
Other values (6) 28
 
6.6%
Latin
ValueCountFrequency (%)
M 60
69.0%
C 18
 
20.7%
K 3
 
3.4%
G 3
 
3.4%
ⅹ 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 831
61.8%
ASCII 510
37.9%
Number Forms 3
 
0.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
19.0%
) 76
14.9%
( 76
14.9%
M 60
11.8%
1 44
8.6%
0 31
 
6.1%
2 19
 
3.7%
C 18
 
3.5%
5 17
 
3.3%
. 15
 
2.9%
Other values (9) 57
11.2%
Hangul
ValueCountFrequency (%)
이 57
 
6.9%
용 45
 
5.4%
모 41
 
4.9%
규 39
 
4.7%
격 39
 
4.7%
든 39
 
4.7%
대 31
 
3.7%
상 27
 
3.2%
미 27
 
3.2%
만 26
 
3.1%
Other values (155) 460
55.4%
Number Forms
ValueCountFrequency (%)
ⅹ 3
100.0%
None
ValueCountFrequency (%)
² 1
100.0%

가격(원)
Real number (ℝ)

Distinct14
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5748.6339
Minimum1000
Maximum20000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-28T14:18:05.935287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2000
Q13000
median5000
Q37500
95-th percentile12000
Maximum20000
Range19000
Interquartile range (IQR)4500

Descriptive statistics

Standard deviation3395.5669
Coefficient of variation (CV)0.59067371
Kurtosis2.3473064
Mean5748.6339
Median Absolute Deviation (MAD)2000
Skewness1.3090203
Sum1052000
Variance11529874
MonotonicityNot monotonic
2024-01-28T14:18:06.025630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5000 45
24.6%
3000 32
17.5%
10000 21
11.5%
2000 18
 
9.8%
6000 15
 
8.2%
4000 15
 
8.2%
8000 7
 
3.8%
12000 7
 
3.8%
7000 7
 
3.8%
1000 5
 
2.7%
Other values (4) 11
 
6.0%
ValueCountFrequency (%)
1000 5
 
2.7%
2000 18
 
9.8%
3000 32
17.5%
4000 15
 
8.2%
5000 45
24.6%
6000 15
 
8.2%
7000 7
 
3.8%
8000 7
 
3.8%
9000 3
 
1.6%
10000 21
11.5%
ValueCountFrequency (%)
20000 2
 
1.1%
15000 2
 
1.1%
12000 7
 
3.8%
11000 4
 
2.2%
10000 21
11.5%
9000 3
 
1.6%
8000 7
 
3.8%
7000 7
 
3.8%
6000 15
 
8.2%
5000 45
24.6%

Interactions

2024-01-28T14:18:04.136465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:18:03.976405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:18:04.216744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T14:18:04.053885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:18:06.098669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번품목가격(원)
순번1.0000.9940.000
품목0.9941.0000.000
가격(원)0.0000.0001.000
2024-01-28T14:18:06.169179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번가격(원)
순번1.000-0.108
가격(원)-0.1081.000

Missing values

2024-01-28T14:18:04.310094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:18:04.377826image/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

순번품목규격가격(원)
01거울반신거울, 대(1M이상)5000
12거울반신거울, 소(1M미만)2000
23다리미판모든규격2000
34돗자리대자리를 제외한 모든규격5000
45돗자리대자리10000
56매트리스1인용8000
67매트리스2인용9000
78매트리스유아용3000
89문갑(거실장)유리(부착)문갑을 제외한 모든규격6000
910문갑(거실장)유리(부착)문갑10000
순번품목규격가격(원)
173174텐트모든규격2000
174175팔레트(나무)모든규격5000
175176페인트통(빈통)1개당(페인트는 별도처리)1000
176177층간소음용 매트폴더매트8000
177178층간소음용 매트롤매트6000
178179화환모든규격3000
179180환풍기업소용3000
180181환풍기가정용2000
181182휠체어수동2000
182183휠체어전동10000