Overview

Dataset statistics

Number of variables5
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory42.8 B

Variable types

Categorical2
Text2
Numeric1

Dataset

Description부산시설공단 영락공원 장례용품 가격표에 대한 것으로 입관용품, 빈소용품, 기타용품, 상복, 제단조화, 관, 수의, 봉안함 관련 물품을 포함합니다.
Author부산시설공단
URLhttps://www.data.go.kr/data/3041117/fileData.do

Alerts

구 분 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:40:19.123124
Analysis finished2024-04-06 08:40:20.631125
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
장례용품
73 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장례용품 73
100.0%

Length

2024-04-06T17:40:20.854941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:40:21.150930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장례용품 73
100.0%

품 명
Categorical

Distinct8
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
입관용품
18 
봉안함
13 
상복
9 
빈소용품
7 
기타용품
7 
Other values (3)
19 

Length

Max length4
Median length4
Mean length3.1917808
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입관용품 18
24.7%
봉안함 13
17.8%
상복 9
12.3%
빈소용품 7
 
9.6%
기타용품 7
 
9.6%
관 7
 
9.6%
수 의 7
 
9.6%
제단조화 5
 
6.8%

Length

2024-04-06T17:40:21.585925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:40:22.037178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입관용품 18
22.5%
봉안함 13
16.2%
상복 9
11.2%
빈소용품 7
 
8.8%
기타용품 7
 
8.8%
관 7
 
8.8%
수 7
 
8.8%
의 7
 
8.8%
제단조화 5
 
6.2%

상세품명
Text

Distinct65
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-06T17:40:22.800826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.2328767
Min length2

Characters and Unicode

Total characters309
Distinct characters121
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)82.2%

Sample

1st row관 보
2nd row명 정
3rd row폐 백
4th row운 아
5th row외울베(20마)
ValueCountFrequency (%)
오동나무 6
 
6.5%
사진위패 3
 
3.3%
봉안함 2
 
2.2%
각인 2
 
2.2%
진공함 2
 
2.2%
지 2
 
2.2%
남성복 2
 
2.2%
2호 1
 
1.1%
넥 1
 
1.1%
와이셔츠 1
 
1.1%
Other values (70) 70
76.1%
2024-04-06T17:40:24.083657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
8.4%
호 11
 
3.6%
나 9
 
2.9%
무 9
 
2.9%
진 8
 
2.6%
영 7
 
2.3%
락 7
 
2.3%
) 7
 
2.3%
( 7
 
2.3%
장 6
 
1.9%
Other values (111) 212
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
81.6%
Space Separator 26
 
8.4%
Decimal Number 17
 
5.5%
Close Punctuation 7
 
2.3%
Open Punctuation 7
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 11
 
4.4%
나 9
 
3.6%
무 9
 
3.6%
진 8
 
3.2%
영 7
 
2.8%
락 7
 
2.8%
장 6
 
2.4%
동 6
 
2.4%
오 6
 
2.4%
함 5
 
2.0%
Other values (100) 178
70.6%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
3 3
17.6%
4 2
 
11.8%
1 2
 
11.8%
0 2
 
11.8%
7 1
 
5.9%
6 1
 
5.9%
5 1
 
5.9%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
81.6%
Common 57
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 11
 
4.4%
나 9
 
3.6%
무 9
 
3.6%
진 8
 
3.2%
영 7
 
2.8%
락 7
 
2.8%
장 6
 
2.4%
동 6
 
2.4%
오 6
 
2.4%
함 5
 
2.0%
Other values (100) 178
70.6%
Common
ValueCountFrequency (%)
26
45.6%
) 7
 
12.3%
( 7
 
12.3%
2 5
 
8.8%
3 3
 
5.3%
4 2
 
3.5%
1 2
 
3.5%
0 2
 
3.5%
7 1
 
1.8%
6 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
81.6%
ASCII 57
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
45.6%
) 7
 
12.3%
( 7
 
12.3%
2 5
 
8.8%
3 3
 
5.3%
4 2
 
3.5%
1 2
 
3.5%
0 2
 
3.5%
7 1
 
1.8%
6 1
 
1.8%
Hangul
ValueCountFrequency (%)
호 11
 
4.4%
나 9
 
3.6%
무 9
 
3.6%
진 8
 
3.2%
영 7
 
2.8%
락 7
 
2.8%
장 6
 
2.4%
동 6
 
2.4%
오 6
 
2.4%
함 5
 
2.0%
Other values (100) 178
70.6%

요 금(원)
Real number (ℝ)

Distinct43
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118032.88
Minimum800
Maximum1200000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-06T17:40:24.565138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum800
5-th percentile1000
Q18000
median25000
Q3150000
95-th percentile508000
Maximum1200000
Range1199200
Interquartile range (IQR)142000

Descriptive statistics

Standard deviation209327.91
Coefficient of variation (CV)1.7734713
Kurtosis11.582301
Mean118032.88
Median Absolute Deviation (MAD)23500
Skewness3.1072483
Sum8616400
Variance4.3818176 × 1010
MonotonicityNot monotonic
2024-04-06T17:40:25.136465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
15000 6
 
8.2%
20000 4
 
5.5%
30000 4
 
5.5%
10000 4
 
5.5%
8000 3
 
4.1%
300000 3
 
4.1%
60000 3
 
4.1%
5000 3
 
4.1%
1000 3
 
4.1%
200000 2
 
2.7%
Other values (33) 38
52.1%
ValueCountFrequency (%)
800 1
 
1.4%
900 1
 
1.4%
1000 3
4.1%
1200 1
 
1.4%
1500 2
2.7%
2000 1
 
1.4%
2500 1
 
1.4%
3000 1
 
1.4%
5000 3
4.1%
5500 2
2.7%
ValueCountFrequency (%)
1200000 1
 
1.4%
900000 1
 
1.4%
600000 1
 
1.4%
550000 1
 
1.4%
480000 1
 
1.4%
400000 1
 
1.4%
380000 1
 
1.4%
300000 3
4.1%
250000 2
2.7%
200000 2
2.7%

규격 재질 원산지 생산지 제조방법등
Text

Distinct55
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-06T17:40:26.488587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length10.972603
Min length2

Characters and Unicode

Total characters801
Distinct characters131
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)63.0%

Sample

1st row인견101% 중국 한국 기계직
2nd row인견101% 중국 한국 기계직
3rd row종이 공단
4th row종이 한국
5th row폴리에스터 한국 기계직
ValueCountFrequency (%)
한국 39
 
17.9%
중국 25
 
11.5%
기계직 17
 
7.8%
폴리에스터 8
 
3.7%
종이 6
 
2.8%
1단 6
 
2.8%
면100 6
 
2.8%
오동나무 5
 
2.3%
문양 4
 
1.8%
저마100 4
 
1.8%
Other values (68) 98
45.0%
2024-04-06T17:40:27.729877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
18.2%
국 64
 
8.0%
한 40
 
5.0%
0 39
 
4.9%
1 32
 
4.0%
중 27
 
3.4%
기 19
 
2.4%
직 19
 
2.4%
계 17
 
2.1%
% 15
 
1.9%
Other values (121) 383
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
64.7%
Space Separator 146
 
18.2%
Decimal Number 88
 
11.0%
Other Punctuation 23
 
2.9%
Open Punctuation 7
 
0.9%
Close Punctuation 7
 
0.9%
Lowercase Letter 7
 
0.9%
Math Symbol 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 64
 
12.4%
한 40
 
7.7%
중 27
 
5.2%
기 19
 
3.7%
직 19
 
3.7%
계 17
 
3.3%
면 12
 
2.3%
무 11
 
2.1%
이 10
 
1.9%
나 10
 
1.9%
Other values (101) 289
55.8%
Decimal Number
ValueCountFrequency (%)
0 39
44.3%
1 32
36.4%
5 6
 
6.8%
2 5
 
5.7%
6 2
 
2.3%
9 2
 
2.3%
7 1
 
1.1%
4 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
m 3
42.9%
c 2
28.6%
g 1
 
14.3%
l 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
% 15
65.2%
. 7
30.4%
· 1
 
4.3%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
× 2
40.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
64.7%
Common 276
34.5%
Latin 7
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 64
 
12.4%
한 40
 
7.7%
중 27
 
5.2%
기 19
 
3.7%
직 19
 
3.7%
계 17
 
3.3%
면 12
 
2.3%
무 11
 
2.1%
이 10
 
1.9%
나 10
 
1.9%
Other values (101) 289
55.8%
Common
ValueCountFrequency (%)
146
52.9%
0 39
 
14.1%
1 32
 
11.6%
% 15
 
5.4%
( 7
 
2.5%
. 7
 
2.5%
) 7
 
2.5%
5 6
 
2.2%
2 5
 
1.8%
+ 3
 
1.1%
Other values (6) 9
 
3.3%
Latin
ValueCountFrequency (%)
m 3
42.9%
c 2
28.6%
g 1
 
14.3%
l 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
64.7%
ASCII 280
35.0%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
52.1%
0 39
 
13.9%
1 32
 
11.4%
% 15
 
5.4%
( 7
 
2.5%
. 7
 
2.5%
) 7
 
2.5%
5 6
 
2.1%
2 5
 
1.8%
+ 3
 
1.1%
Other values (8) 13
 
4.6%
Hangul
ValueCountFrequency (%)
국 64
 
12.4%
한 40
 
7.7%
중 27
 
5.2%
기 19
 
3.7%
직 19
 
3.7%
계 17
 
3.3%
면 12
 
2.3%
무 11
 
2.1%
이 10
 
1.9%
나 10
 
1.9%
Other values (101) 289
55.8%
None
ValueCountFrequency (%)
× 2
66.7%
· 1
33.3%

Interactions

2024-04-06T17:40:19.859539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:40:27.993106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
품 명상세품명요 금(원)규격 재질 원산지 생산지 제조방법등
품 명1.0000.9940.5390.978
상세품명0.9941.0000.9740.000
요 금(원)0.5390.9741.0000.909
규격 재질 원산지 생산지 제조방법등0.9780.0000.9091.000
2024-04-06T17:40:28.314524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요 금(원)품 명
요 금(원)1.0000.324
품 명0.3241.000

Missing values

2024-04-06T17:40:20.217058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:40:20.499066image/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

구 분품 명상세품명요 금(원)규격 재질 원산지 생산지 제조방법등
0장례용품입관용품관 보20000인견101% 중국 한국 기계직
1장례용품입관용품명 정40000인견101% 중국 한국 기계직
2장례용품입관용품폐 백1500종이 공단
3장례용품입관용품운 아900종이 한국
4장례용품입관용품외울베(20마)15000폴리에스터 한국 기계직
5장례용품입관용품외울베(30마)20000폴리에스터 한국 기계직
6장례용품입관용품염베(중)30000저마100% 중국 한국 기계직
7장례용품입관용품염베(상)60000저마100% 중국 한국 기계직
8장례용품입관용품지 메10000면100% 한국 기계직
9장례용품입관용품한 지550020매 1권(20×90cm)
구 분품 명상세품명요 금(원)규격 재질 원산지 생산지 제조방법등
63장례용품봉안함황토일반60000황토일반함
64장례용품봉안함2중일반70000송학 난 문양 2중 무지함
65장례용품봉안함진공일반140000그린 백자함
66장례용품봉안함부부합장150000송학 난 문양
67장례용품봉안함진공함150000그래픽 조각함
68장례용품봉안함진공함160000송학 난 문양
69장례용품봉안함나무(2중)200000나무원통2중함
70장례용품봉안함진공자개250000송학 난 문양
71장례용품봉안함봉안함 각인20000일반 각인
72장례용품봉안함봉안함 각인38000사진 각인