Overview

Dataset statistics

Number of variables6
Number of observations106
Missing cells6
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory50.2 B

Variable types

Categorical3
Text2
Numeric1

Dataset

Description울산시설공단_하늘공원_장례용품_가격정보 데이터로서 품목,용품명,규격,가격 등의 항목 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15054181/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
단위 is highly imbalanced (50.0%)Imbalance
규격 has 6 (5.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:27:24.615805
Analysis finished2023-12-12 13:27:25.213757
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

품목
Categorical

Distinct11
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size980.0 B
고인용품
27 
상주용품
19 
봉안함
14 
수의
13 
기타
12 
Other values (6)
21 

Length

Max length8
Median length6
Mean length3.254717
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
고인용품 27
25.5%
상주용품 19
17.9%
봉안함 14
13.2%
수의 13
12.3%
기타 12
11.3%
관 11
10.4%
상복(판매) 4
 
3.8%
상복(대여) 2
 
1.9%
염습비 2
 
1.9%
잔디장(표지석) 1
 
0.9%

Length

2023-12-12T22:27:25.292840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고인용품 27
25.5%
상주용품 19
17.9%
봉안함 14
13.2%
수의 13
12.3%
기타 12
11.3%
관 11
10.4%
상복(판매 4
 
3.8%
상복(대여 2
 
1.9%
염습비 2
 
1.9%
잔디장(표지석 1
 
0.9%

장례용품명
Text

Distinct105
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-12T22:27:25.559549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.8962264
Min length2

Characters and Unicode

Total characters519
Distinct characters154
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)98.1%

Sample

1st row1.0 2단오동관
2nd row1.0 2단오동특관
3rd row1.0 2단오동특특관
4th row1.5 2단오동관
5th row1.5 2단오동특관
ValueCountFrequency (%)
1.5 5
 
4.3%
1.0 3
 
2.6%
공동표지석 2
 
1.7%
2단오동특관 2
 
1.7%
2단오동관 2
 
1.7%
상장(竹 1
 
0.9%
종교명패 1
 
0.9%
종이부의록 1
 
0.9%
우단부의록 1
 
0.9%
양초 1
 
0.9%
Other values (97) 97
83.6%
2023-12-12T22:27:25.999576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
하 28
 
5.4%
늘 27
 
5.2%
호 24
 
4.6%
) 19
 
3.7%
( 19
 
3.7%
1 19
 
3.7%
함 15
 
2.9%
관 13
 
2.5%
2 12
 
2.3%
10
 
1.9%
Other values (144) 333
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
76.5%
Decimal Number 61
 
11.8%
Close Punctuation 19
 
3.7%
Open Punctuation 19
 
3.7%
Other Punctuation 13
 
2.5%
Space Separator 10
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 28
 
7.1%
늘 27
 
6.8%
호 24
 
6.0%
함 15
 
3.8%
관 13
 
3.3%
단 9
 
2.3%
지 8
 
2.0%
특 8
 
2.0%
리 8
 
2.0%
동 8
 
2.0%
Other values (129) 249
62.7%
Decimal Number
ValueCountFrequency (%)
1 19
31.1%
2 12
19.7%
5 8
13.1%
0 6
 
9.8%
3 5
 
8.2%
6 3
 
4.9%
8 2
 
3.3%
9 2
 
3.3%
4 2
 
3.3%
7 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 9
69.2%
/ 4
30.8%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
76.1%
Common 122
 
23.5%
Han 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 28
 
7.1%
늘 27
 
6.8%
호 24
 
6.1%
함 15
 
3.8%
관 13
 
3.3%
단 9
 
2.3%
지 8
 
2.0%
특 8
 
2.0%
리 8
 
2.0%
동 8
 
2.0%
Other values (127) 247
62.5%
Common
ValueCountFrequency (%)
) 19
15.6%
( 19
15.6%
1 19
15.6%
2 12
9.8%
10
8.2%
. 9
7.4%
5 8
6.6%
0 6
 
4.9%
3 5
 
4.1%
/ 4
 
3.3%
Other values (5) 11
9.0%
Han
ValueCountFrequency (%)
木 1
50.0%
竹 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
76.1%
ASCII 122
 
23.5%
CJK 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
하 28
 
7.1%
늘 27
 
6.8%
호 24
 
6.1%
함 15
 
3.8%
관 13
 
3.3%
단 9
 
2.3%
지 8
 
2.0%
특 8
 
2.0%
리 8
 
2.0%
동 8
 
2.0%
Other values (127) 247
62.5%
ASCII
ValueCountFrequency (%)
) 19
15.6%
( 19
15.6%
1 19
15.6%
2 12
9.8%
10
8.2%
. 9
7.4%
5 8
6.6%
0 6
 
4.9%
3 5
 
4.1%
/ 4
 
3.3%
Other values (5) 11
9.0%
CJK
ValueCountFrequency (%)
木 1
50.0%
竹 1
50.0%

규격
Text

MISSING 

Distinct51
Distinct (%)51.0%
Missing6
Missing (%)5.7%
Memory size980.0 B
2023-12-12T22:27:26.229663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length24
Mean length12.92
Min length2

Characters and Unicode

Total characters1292
Distinct characters95
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

Unique36 ?
Unique (%)36.0%

Sample

1st row1850ⅹ480ⅹ380ⅹ30
2nd row1950ⅹ510ⅹ410ⅹ30
3rd row2050ⅹ540ⅹ440ⅹ30
4th row1850ⅹ510ⅹ410ⅹ45
5th row1980ⅹ540ⅹ450ⅹ45
ValueCountFrequency (%)
68
25.0%
중국/한국 34
12.5%
한국 25
 
9.2%
면30 15
 
5.5%
폴리70 15
 
5.5%
갖은수의 10
 
3.7%
폴리100 8
 
2.9%
중국 7
 
2.6%
종이 5
 
1.8%
한국/기계직 5
 
1.8%
Other values (53) 80
29.4%
2023-12-12T22:27:26.771780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
 
13.3%
0 142
 
11.0%
국 119
 
9.2%
한 70
 
5.4%
% 67
 
5.2%
: 54
 
4.2%
중 52
 
4.0%
1 51
 
3.9%
/ 47
 
3.6%
ⅹ 33
 
2.6%
Other values (85) 485
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 534
41.3%
Decimal Number 306
23.7%
Other Punctuation 191
 
14.8%
Space Separator 172
 
13.3%
Letter Number 33
 
2.6%
Math Symbol 20
 
1.5%
Open Punctuation 17
 
1.3%
Close Punctuation 17
 
1.3%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 119
22.3%
한 70
13.1%
중 52
 
9.7%
리 29
 
5.4%
폴 27
 
5.1%
면 22
 
4.1%
의 15
 
2.8%
수 13
 
2.4%
이 12
 
2.2%
은 10
 
1.9%
Other values (64) 165
30.9%
Decimal Number
ValueCountFrequency (%)
0 142
46.4%
1 51
 
16.7%
3 29
 
9.5%
5 29
 
9.5%
7 19
 
6.2%
4 18
 
5.9%
8 9
 
2.9%
9 6
 
2.0%
2 2
 
0.7%
6 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
% 67
35.1%
: 54
28.3%
/ 47
24.6%
, 23
 
12.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
l 1
50.0%
Space Separator
ValueCountFrequency (%)
172
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 33
100.0%
Math Symbol
ValueCountFrequency (%)
+ 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 723
56.0%
Hangul 534
41.3%
Latin 35
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 119
22.3%
한 70
13.1%
중 52
 
9.7%
리 29
 
5.4%
폴 27
 
5.1%
면 22
 
4.1%
의 15
 
2.8%
수 13
 
2.4%
이 12
 
2.2%
은 10
 
1.9%
Other values (64) 165
30.9%
Common
ValueCountFrequency (%)
172
23.8%
0 142
19.6%
% 67
 
9.3%
: 54
 
7.5%
1 51
 
7.1%
/ 47
 
6.5%
3 29
 
4.0%
5 29
 
4.0%
, 23
 
3.2%
+ 20
 
2.8%
Other values (8) 89
12.3%
Latin
ValueCountFrequency (%)
ⅹ 33
94.3%
m 1
 
2.9%
l 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 725
56.1%
Hangul 534
41.3%
Number Forms 33
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
23.7%
0 142
19.6%
% 67
 
9.2%
: 54
 
7.4%
1 51
 
7.0%
/ 47
 
6.5%
3 29
 
4.0%
5 29
 
4.0%
, 23
 
3.2%
+ 20
 
2.8%
Other values (10) 91
12.6%
Hangul
ValueCountFrequency (%)
국 119
22.3%
한 70
13.1%
중 52
 
9.7%
리 29
 
5.4%
폴 27
 
5.1%
면 22
 
4.1%
의 15
 
2.8%
수 13
 
2.4%
이 12
 
2.2%
은 10
 
1.9%
Other values (64) 165
30.9%
Number Forms
ValueCountFrequency (%)
ⅹ 33
100.0%

단위
Categorical

IMBALANCE 

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
개
73 
벌
20 
세트
 
4
필
 
2
권
 
2
Other values (3)
 
5

Length

Max length2
Median length1
Mean length1.0566038
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
개 73
68.9%
벌 20
 
18.9%
세트 4
 
3.8%
필 2
 
1.9%
권 2
 
1.9%
켤레 2
 
1.9%
회 2
 
1.9%
장 1
 
0.9%

Length

2023-12-12T22:27:26.942074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:27.072626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개 73
68.9%
벌 20
 
18.9%
세트 4
 
3.8%
필 2
 
1.9%
권 2
 
1.9%
켤레 2
 
1.9%
회 2
 
1.9%
장 1
 
0.9%

가격
Real number (ℝ)

Distinct56
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132500
Minimum1000
Maximum1200000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T22:27:27.242771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1000
Q14250
median15000
Q3207500
95-th percentile637500
Maximum1200000
Range1199000
Interquartile range (IQR)203250

Descriptive statistics

Standard deviation222911.31
Coefficient of variation (CV)1.6823495
Kurtosis7.2819612
Mean132500
Median Absolute Deviation (MAD)14000
Skewness2.5100728
Sum14045000
Variance4.9689452 × 1010
MonotonicityNot monotonic
2023-12-12T22:27:27.429186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 17
 
16.0%
15000 6
 
5.7%
7000 5
 
4.7%
10000 5
 
4.7%
2000 5
 
4.7%
4000 3
 
2.8%
5000 3
 
2.8%
50000 3
 
2.8%
8000 3
 
2.8%
180000 2
 
1.9%
Other values (46) 54
50.9%
ValueCountFrequency (%)
1000 17
16.0%
2000 5
 
4.7%
3000 2
 
1.9%
4000 3
 
2.8%
5000 3
 
2.8%
6000 2
 
1.9%
7000 5
 
4.7%
8000 3
 
2.8%
9000 1
 
0.9%
10000 5
 
4.7%
ValueCountFrequency (%)
1200000 1
0.9%
1057000 1
0.9%
750000 1
0.9%
700000 1
0.9%
650000 2
1.9%
600000 1
0.9%
520000 1
0.9%
471000 1
0.9%
420000 1
0.9%
351000 1
0.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-07-04
106 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-04
2nd row2023-07-04
3rd row2023-07-04
4th row2023-07-04
5th row2023-07-04

Common Values

ValueCountFrequency (%)
2023-07-04 106
100.0%

Length

2023-12-12T22:27:27.575220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:27.682255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-04 106
100.0%

Interactions

2023-12-12T22:27:24.873095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:27:27.752243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목규격단위가격
품목1.0000.9630.7640.413
규격0.9631.0000.8440.637
단위0.7640.8441.0000.000
가격0.4130.6370.0001.000
2023-12-12T22:27:27.859029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품목단위
품목1.0000.490
단위0.4901.000
2023-12-12T22:27:27.956634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격품목단위
가격1.0000.2450.000
품목0.2451.0000.490
단위0.0000.4901.000

Missing values

2023-12-12T22:27:25.069955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:27:25.171025image/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

품목장례용품명규격단위가격데이터기준일자
0관1.0 2단오동관1850ⅹ480ⅹ380ⅹ30개1800002023-07-04
1관1.0 2단오동특관1950ⅹ510ⅹ410ⅹ30개2100002023-07-04
2관1.0 2단오동특특관2050ⅹ540ⅹ440ⅹ30개2400002023-07-04
3관1.5 2단오동관1850ⅹ510ⅹ410ⅹ45개2440002023-07-04
4관1.5 2단오동특관1980ⅹ540ⅹ450ⅹ45개2760002023-07-04
5관1.5 2단오동통판1950ⅹ510ⅹ450ⅹ45개2990002023-07-04
6관1.5 2단솔송관1950ⅹ510ⅹ450ⅹ45개6500002023-07-04
7관1.5 2단 향나무관1950ⅹ510ⅹ450ⅹ45개10570002023-07-04
8관0.6 집성판/애기관600ⅹ300ⅹ250ⅹ18개650002023-07-04
9관종이관1850ⅹ480ⅹ380ⅹ30개1800002023-07-04
품목장례용품명규격단위가격데이터기준일자
96상복(대여)남/여상복(3일)상의, 하의벌250002023-07-04
97상복(대여)남/여상복(5일)상의, 하의벌450002023-07-04
98상복(판매)여상복<NA>벌150002023-07-04
99상복(판매)와이셔츠<NA>개140002023-07-04
100상복(판매)넥타이<NA>개40002023-07-04
101상복(판매)벨트<NA>개80002023-07-04
102염습비염습비(일반)<NA>회2000002023-07-04
103염습비염습비(사고)<NA>회2500002023-07-04
104잔디장(표지석)공동표지석인조대리석개500002023-07-04
105수목장(표지석)공동표지석인조대리석개500002023-07-04