Overview

Dataset statistics

Number of variables5
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory42.2 B

Variable types

Categorical1
Text2
Numeric1
DateTime1

Dataset

Description창원시설공단이 관리하는 창원시립상복공원 장례용품 가격정보 중 관, 수의, 고인용품, 상복, 유골함, 빈소용품의 규격과 가격정보를 제공
Author창원시설공단
URLhttps://www.data.go.kr/data/15080872/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 06:18:03.734167
Analysis finished2023-12-12 06:18:04.196298
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품목
Categorical

Distinct10
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
고인용품
32 
빈소용품
20 
상복
13 
전통상복
10 
유골함
8 
Other values (5)
24 

Length

Max length4
Median length4
Mean length3.1775701
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고인용품 32
29.9%
빈소용품 20
18.7%
상복 13
12.1%
전통상복 10
 
9.3%
유골함 8
 
7.5%
관 6
 
5.6%
음료 6
 
5.6%
수의 5
 
4.7%
주류 4
 
3.7%
안주 3
 
2.8%

Length

2023-12-12T15:18:04.281537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:18:04.431865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고인용품 32
29.9%
빈소용품 20
18.7%
상복 13
12.1%
전통상복 10
 
9.3%
유골함 8
 
7.5%
관 6
 
5.6%
음료 6
 
5.6%
수의 5
 
4.7%
주류 4
 
3.7%
안주 3
 
2.8%

용품명
Text

Distinct102
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T15:18:04.714639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length5.046729
Min length2

Characters and Unicode

Total characters540
Distinct characters173
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)90.7%

Sample

1st row0.8 2단오동관
2nd row0.8 2단오동특관
3rd row0.8 2단오동특특관
4th row1.5 2단오동관
5th row1.5 2단오동특관
ValueCountFrequency (%)
대여 5
 
4.0%
양복 4
 
3.2%
0.8 3
 
2.4%
와이셔츠(긴팔 2
 
1.6%
1.5 2
 
1.6%
공포 2
 
1.6%
와이셔츠(반팔 2
 
1.6%
2단오동관 2
 
1.6%
2단오동특관 2
 
1.6%
양말(판매 2
 
1.6%
Other values (97) 99
79.2%
2023-12-12T15:18:05.144707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 27
 
5.0%
) 27
 
5.0%
18
 
3.3%
관 13
 
2.4%
복 12
 
2.2%
상 10
 
1.9%
공 9
 
1.7%
리 9
 
1.7%
함 9
 
1.7%
의 8
 
1.5%
Other values (163) 398
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 430
79.6%
Decimal Number 29
 
5.4%
Open Punctuation 27
 
5.0%
Close Punctuation 27
 
5.0%
Space Separator 18
 
3.3%
Other Punctuation 9
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 13
 
3.0%
복 12
 
2.8%
상 10
 
2.3%
공 9
 
2.1%
리 9
 
2.1%
함 9
 
2.1%
의 8
 
1.9%
이 7
 
1.6%
오 7
 
1.6%
보 7
 
1.6%
Other values (150) 339
78.8%
Decimal Number
ValueCountFrequency (%)
2 7
24.1%
3 7
24.1%
0 4
13.8%
1 4
13.8%
8 3
10.3%
5 3
10.3%
4 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
, 3
33.3%
· 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
79.3%
Common 110
 
20.4%
Han 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 13
 
3.0%
복 12
 
2.8%
상 10
 
2.3%
공 9
 
2.1%
리 9
 
2.1%
함 9
 
2.1%
의 8
 
1.9%
이 7
 
1.6%
오 7
 
1.6%
보 7
 
1.6%
Other values (148) 337
78.7%
Common
ValueCountFrequency (%)
( 27
24.5%
) 27
24.5%
18
16.4%
2 7
 
6.4%
3 7
 
6.4%
. 5
 
4.5%
0 4
 
3.6%
1 4
 
3.6%
8 3
 
2.7%
5 3
 
2.7%
Other values (3) 5
 
4.5%
Han
ValueCountFrequency (%)
小 1
50.0%
大 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
79.3%
ASCII 109
 
20.2%
CJK 2
 
0.4%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 27
24.8%
) 27
24.8%
18
16.5%
2 7
 
6.4%
3 7
 
6.4%
. 5
 
4.6%
0 4
 
3.7%
1 4
 
3.7%
8 3
 
2.8%
5 3
 
2.8%
Other values (2) 4
 
3.7%
Hangul
ValueCountFrequency (%)
관 13
 
3.0%
복 12
 
2.8%
상 10
 
2.3%
공 9
 
2.1%
리 9
 
2.1%
함 9
 
2.1%
의 8
 
1.9%
이 7
 
1.6%
오 7
 
1.6%
보 7
 
1.6%
Other values (148) 337
78.7%
CJK
ValueCountFrequency (%)
小 1
50.0%
大 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

규격
Text

Distinct76
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T15:18:05.447203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.5233645
Min length1

Characters and Unicode

Total characters698
Distinct characters98
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)54.2%

Sample

1st row1850*480*380*24
2nd row1950*510*450*24
3rd row2100*610*550*24
4th row1850*510*410*45
5th row1950*540*450*45
ValueCountFrequency (%)
면100 10
 
8.8%
도자기 6
 
5.3%
한국 5
 
4.4%
레이온100 4
 
3.5%
포리100 3
 
2.6%
오동나무 3
 
2.6%
아동용(대여상품 2
 
1.8%
향나무 2
 
1.8%
400g 2
 
1.8%
1950*510*450레이온100 2
 
1.8%
Other values (69) 75
65.8%
2023-12-12T15:18:06.006078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 133
19.1%
1 58
 
8.3%
5 39
 
5.6%
% 34
 
4.9%
* 29
 
4.2%
m 24
 
3.4%
4 20
 
2.9%
면 16
 
2.3%
16
 
2.3%
이 15
 
2.1%
Other values (88) 314
45.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 297
42.6%
Other Letter 235
33.7%
Other Punctuation 70
 
10.0%
Lowercase Letter 47
 
6.7%
Space Separator 16
 
2.3%
Open Punctuation 13
 
1.9%
Close Punctuation 13
 
1.9%
Math Symbol 6
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 16
 
6.8%
이 15
 
6.4%
용 11
 
4.7%
인 8
 
3.4%
대 8
 
3.4%
자 8
 
3.4%
레 7
 
3.0%
온 7
 
3.0%
동 7
 
3.0%
나 6
 
2.6%
Other values (64) 142
60.4%
Decimal Number
ValueCountFrequency (%)
0 133
44.8%
1 58
19.5%
5 39
 
13.1%
4 20
 
6.7%
2 13
 
4.4%
8 10
 
3.4%
3 9
 
3.0%
9 8
 
2.7%
7 4
 
1.3%
6 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
% 34
48.6%
* 29
41.4%
/ 3
 
4.3%
, 3
 
4.3%
. 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
m 24
51.1%
l 10
21.3%
c 9
 
19.1%
g 4
 
8.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 415
59.5%
Hangul 235
33.7%
Latin 48
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 16
 
6.8%
이 15
 
6.4%
용 11
 
4.7%
인 8
 
3.4%
대 8
 
3.4%
자 8
 
3.4%
레 7
 
3.0%
온 7
 
3.0%
동 7
 
3.0%
나 6
 
2.6%
Other values (64) 142
60.4%
Common
ValueCountFrequency (%)
0 133
32.0%
1 58
14.0%
5 39
 
9.4%
% 34
 
8.2%
* 29
 
7.0%
4 20
 
4.8%
16
 
3.9%
( 13
 
3.1%
) 13
 
3.1%
2 13
 
3.1%
Other values (9) 47
 
11.3%
Latin
ValueCountFrequency (%)
m 24
50.0%
l 10
20.8%
c 9
 
18.8%
g 4
 
8.3%
L 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 463
66.3%
Hangul 235
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 133
28.7%
1 58
12.5%
5 39
 
8.4%
% 34
 
7.3%
* 29
 
6.3%
m 24
 
5.2%
4 20
 
4.3%
16
 
3.5%
( 13
 
2.8%
) 13
 
2.8%
Other values (14) 84
18.1%
Hangul
ValueCountFrequency (%)
면 16
 
6.8%
이 15
 
6.4%
용 11
 
4.7%
인 8
 
3.4%
대 8
 
3.4%
자 8
 
3.4%
레 7
 
3.0%
온 7
 
3.0%
동 7
 
3.0%
나 6
 
2.6%
Other values (64) 142
60.4%

가격
Real number (ℝ)

Distinct58
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45163.551
Minimum500
Maximum786000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T15:18:06.182321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile720
Q12450
median8000
Q320500
95-th percentile251700
Maximum786000
Range785500
Interquartile range (IQR)18050

Descriptive statistics

Standard deviation107620.21
Coefficient of variation (CV)2.3828997
Kurtosis22.788052
Mean45163.551
Median Absolute Deviation (MAD)6400
Skewness4.2552031
Sum4832500
Variance1.1582111 × 1010
MonotonicityNot monotonic
2023-12-12T15:18:06.372715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000 7
 
6.5%
14000 5
 
4.7%
1000 5
 
4.7%
11000 4
 
3.7%
500 4
 
3.7%
2000 4
 
3.7%
6000 4
 
3.7%
8000 4
 
3.7%
9000 4
 
3.7%
1500 3
 
2.8%
Other values (48) 63
58.9%
ValueCountFrequency (%)
500 4
3.7%
600 2
 
1.9%
1000 5
4.7%
1200 1
 
0.9%
1300 1
 
0.9%
1500 3
2.8%
1600 2
 
1.9%
1700 1
 
0.9%
1900 1
 
0.9%
2000 4
3.7%
ValueCountFrequency (%)
786000 1
0.9%
449000 1
0.9%
337000 1
0.9%
303000 1
0.9%
269000 1
0.9%
258000 1
0.9%
237000 1
0.9%
208000 1
0.9%
202000 1
0.9%
185000 1
0.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2022-08-19 00:00:00
Maximum2022-08-19 00:00:00
2023-12-12T15:18:06.518083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:18:06.652819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:18:03.943737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:18:06.764242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목규격가격
품목1.0000.9870.698
규격0.9871.0000.889
가격0.6980.8891.000
2023-12-12T15:18:06.886968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격품목
가격1.0000.445
품목0.4451.000

Missing values

2023-12-12T15:18:04.057608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:18:04.151979image/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

품목용품명규격가격데이터기준일자
0관0.8 2단오동관1850*480*380*241850002022-08-19
1관0.8 2단오동특관1950*510*450*242080002022-08-19
2관0.8 2단오동특특관2100*610*550*243030002022-08-19
3관1.5 2단오동관1850*510*410*452580002022-08-19
4관1.5 2단오동특관1950*540*450*452690002022-08-19
5관애기관600*300*200*301010002022-08-19
6수의상복공원1호면50%+폴리50%1120002022-08-19
7수의상복공원2호면100%/황토염색2020002022-08-19
8수의상복공원3호인견100%+저마100%3370002022-08-19
9수의상복공원4호저마/면100%4490002022-08-19
품목용품명규격가격데이터기준일자
97주류맥주355ml20002022-08-19
98음료사이다(캔)190ml6002022-08-19
99음료콜라(캔)190ml6002022-08-19
100음료매실(캔)180ml5002022-08-19
101음료식혜(캔)175ml5002022-08-19
102음료생수(페트)500ml5002022-08-19
103음료정수기생수(통)18.9L90002022-08-19
104안주아귀포400g210002022-08-19
105안주믹스너트450g130002022-08-19
106안주맥반석오징어150g230002022-08-19