Overview

Dataset statistics

Number of variables6
Number of observations76
Missing cells9
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory50.7 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description사업장폐기물배출자에 대한 데이터로 사업장폐기물배출자 업체명,사업장페기물 배출자 주소,전화번호등의 항목을 제공합니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/15060342/fileData.do

Alerts

폐기물 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
전화번호 has 9 (11.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:36:03.799015
Analysis finished2024-04-29 22:36:05.917149
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-30T07:36:05.998657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-04-30T07:36:06.182722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

업체명
Text

Distinct73
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-30T07:36:06.434182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length7.6710526
Min length3

Characters and Unicode

Total characters583
Distinct characters172
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)92.1%

Sample

1st row민락어패류시장
2nd row광안어패류시장
3rd row민락회타운
4th row성진프라자
5th row홈플러스수퍼
ValueCountFrequency (%)
주)푸드엔남천지점 2
 
2.2%
망미중학교 2
 
2.2%
파로스 2
 
2.2%
오피스텔 2
 
2.2%
센텀사랑의 1
 
1.1%
영남식육식당 1
 
1.1%
부산사업소 1
 
1.1%
kbs비즈니스 1
 
1.1%
민락어패류시장 1
 
1.1%
남천사랑의요양병원 1
 
1.1%
Other values (78) 78
84.8%
2024-04-30T07:36:06.799318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 21
 
3.6%
학 21
 
3.6%
스 17
 
2.9%
16
 
2.7%
원 15
 
2.6%
병 14
 
2.4%
등 14
 
2.4%
산 10
 
1.7%
초 10
 
1.7%
안 10
 
1.7%
Other values (162) 435
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
92.3%
Space Separator 16
 
2.7%
Close Punctuation 7
 
1.2%
Open Punctuation 7
 
1.2%
Other Symbol 6
 
1.0%
Uppercase Letter 6
 
1.0%
Decimal Number 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 21
 
3.9%
학 21
 
3.9%
스 17
 
3.2%
원 15
 
2.8%
병 14
 
2.6%
등 14
 
2.6%
산 10
 
1.9%
초 10
 
1.9%
안 10
 
1.9%
광 10
 
1.9%
Other values (150) 396
73.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
S 1
16.7%
K 1
16.7%
A 1
16.7%
G 1
16.7%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
0 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
93.3%
Common 33
 
5.7%
Latin 6
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 21
 
3.9%
학 21
 
3.9%
스 17
 
3.1%
원 15
 
2.8%
병 14
 
2.6%
등 14
 
2.6%
산 10
 
1.8%
초 10
 
1.8%
안 10
 
1.8%
광 10
 
1.8%
Other values (151) 402
73.9%
Common
ValueCountFrequency (%)
16
48.5%
) 7
21.2%
( 7
21.2%
4 1
 
3.0%
0 1
 
3.0%
5 1
 
3.0%
Latin
ValueCountFrequency (%)
B 2
33.3%
S 1
16.7%
K 1
16.7%
A 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
92.3%
ASCII 39
 
6.7%
None 6
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 21
 
3.9%
학 21
 
3.9%
스 17
 
3.2%
원 15
 
2.8%
병 14
 
2.6%
등 14
 
2.6%
산 10
 
1.9%
초 10
 
1.9%
안 10
 
1.9%
광 10
 
1.9%
Other values (150) 396
73.6%
ASCII
ValueCountFrequency (%)
16
41.0%
) 7
17.9%
( 7
17.9%
B 2
 
5.1%
S 1
 
2.6%
K 1
 
2.6%
4 1
 
2.6%
A 1
 
2.6%
G 1
 
2.6%
0 1
 
2.6%
None
ValueCountFrequency (%)
㈜ 6
100.0%

주소
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-30T07:36:07.043165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length13.144737
Min length6

Characters and Unicode

Total characters999
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)97.4%

Sample

1st row 광안해변로 278(민락동)
2nd row 민락수변로7번길 19(민락동)
3rd row 민락수변로 1(민락동)
4th row 민락수변로 5(민락동)
5th row 수영로 625(광안동)
ValueCountFrequency (%)
수영로 12
 
8.1%
광안해변로 8
 
5.4%
광안동 3
 
2.0%
민락수변로 3
 
2.0%
호암로 3
 
2.0%
연수로310번길 3
 
2.0%
민락동 3
 
2.0%
연수로 3
 
2.0%
수영로402 2
 
1.3%
광남로 2
 
1.3%
Other values (100) 107
71.8%
2024-04-30T07:36:07.438659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
13.1%
로 69
 
6.9%
1 62
 
6.2%
동 52
 
5.2%
) 44
 
4.4%
( 44
 
4.4%
광 43
 
4.3%
안 38
 
3.8%
2 35
 
3.5%
수 31
 
3.1%
Other values (52) 450
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
49.0%
Decimal Number 275
27.5%
Space Separator 131
 
13.1%
Close Punctuation 44
 
4.4%
Open Punctuation 44
 
4.4%
Dash Punctuation 11
 
1.1%
Connector Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 69
14.1%
동 52
 
10.6%
광 43
 
8.8%
안 38
 
7.8%
수 31
 
6.3%
길 25
 
5.1%
번 25
 
5.1%
변 21
 
4.3%
락 19
 
3.9%
민 18
 
3.7%
Other values (36) 149
30.4%
Decimal Number
ValueCountFrequency (%)
1 62
22.5%
2 35
12.7%
3 31
11.3%
5 27
9.8%
4 27
9.8%
7 24
 
8.7%
6 22
 
8.0%
9 20
 
7.3%
8 14
 
5.1%
0 13
 
4.7%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 509
51.0%
Hangul 490
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 69
14.1%
동 52
 
10.6%
광 43
 
8.8%
안 38
 
7.8%
수 31
 
6.3%
길 25
 
5.1%
번 25
 
5.1%
변 21
 
4.3%
락 19
 
3.9%
민 18
 
3.7%
Other values (36) 149
30.4%
Common
ValueCountFrequency (%)
131
25.7%
1 62
12.2%
) 44
 
8.6%
( 44
 
8.6%
2 35
 
6.9%
3 31
 
6.1%
5 27
 
5.3%
4 27
 
5.3%
7 24
 
4.7%
6 22
 
4.3%
Other values (6) 62
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 509
51.0%
Hangul 490
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
25.7%
1 62
12.2%
) 44
 
8.6%
( 44
 
8.6%
2 35
 
6.9%
3 31
 
6.1%
5 27
 
5.3%
4 27
 
5.3%
7 24
 
4.7%
6 22
 
4.3%
Other values (6) 62
12.2%
Hangul
ValueCountFrequency (%)
로 69
14.1%
동 52
 
10.6%
광 43
 
8.8%
안 38
 
7.8%
수 31
 
6.3%
길 25
 
5.1%
번 25
 
5.1%
변 21
 
4.3%
락 19
 
3.9%
민 18
 
3.7%
Other values (36) 149
30.4%

전화번호
Text

MISSING 

Distinct63
Distinct (%)94.0%
Missing9
Missing (%)11.8%
Memory size740.0 B
2024-04-30T07:36:07.671621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters804
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)89.6%

Sample

1st row051-752-5304
2nd row051-757-3000
3rd row051-761-2372
4th row051-756-2277
5th row051-760-2522
ValueCountFrequency (%)
051-751-6329 3
 
4.5%
051-625-1122 2
 
3.0%
051-760-0637 2
 
3.0%
051-750-0772 1
 
1.5%
051-750-0150 1
 
1.5%
051-751-1987 1
 
1.5%
051-752-5304 1
 
1.5%
051-610-3234 1
 
1.5%
051-752-8000 1
 
1.5%
051-865-8449 1
 
1.5%
Other values (53) 53
79.1%
2024-04-30T07:36:08.015334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 137
17.0%
- 134
16.7%
5 129
16.0%
1 114
14.2%
7 84
10.4%
2 52
 
6.5%
6 44
 
5.5%
3 31
 
3.9%
9 30
 
3.7%
8 30
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 670
83.3%
Dash Punctuation 134
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 137
20.4%
5 129
19.3%
1 114
17.0%
7 84
12.5%
2 52
 
7.8%
6 44
 
6.6%
3 31
 
4.6%
9 30
 
4.5%
8 30
 
4.5%
4 19
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 137
17.0%
- 134
16.7%
5 129
16.0%
1 114
14.2%
7 84
10.4%
2 52
 
6.5%
6 44
 
5.5%
3 31
 
3.9%
9 30
 
3.7%
8 30
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 137
17.0%
- 134
16.7%
5 129
16.0%
1 114
14.2%
7 84
10.4%
2 52
 
6.5%
6 44
 
5.5%
3 31
 
3.9%
9 30
 
3.7%
8 30
 
3.7%

폐기물
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
생활계폐기물
76 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활계폐기물 76
100.0%

Length

2024-04-30T07:36:08.150948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:36:08.247995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활계폐기물 76
100.0%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2024-04-22 00:00:00
Maximum2024-04-22 00:00:00
2024-04-30T07:36:08.321059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:08.454766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-30T07:36:05.559687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:36:08.536857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주소전화번호
연번1.0000.9801.0000.872
업체명0.9801.0001.0000.997
주소1.0001.0001.0001.000
전화번호0.8720.9971.0001.000

Missing values

2024-04-30T07:36:05.754337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:36:05.868756image/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

연번업체명주소전화번호폐기물데이터 기준일자
01민락어패류시장광안해변로 278(민락동)051-752-5304생활계폐기물2024-04-22
12광안어패류시장민락수변로7번길 19(민락동)051-757-3000생활계폐기물2024-04-22
23민락회타운민락수변로 1(민락동)051-761-2372생활계폐기물2024-04-22
34성진프라자민락수변로 5(민락동)051-756-2277생활계폐기물2024-04-22
45홈플러스수퍼수영로 625(광안동)051-760-2522생활계폐기물2024-04-22
56덕문여자고등학교연수로310번길 114(광안동)051-610-5800생활계폐기물2024-04-22
67부산동여자고등학교남천서로32번길39(남천동)051-750-5132생활계폐기물2024-04-22
78부산센텀병원수영로 677(광안동)051-610-9770생활계폐기물2024-04-22
89좋은강안병원수영로 493(남천동)051-911-7653생활계폐기물2024-04-22
910서호의료재단광남로 117(광안동)051-711-2206생활계폐기물2024-04-22
연번업체명주소전화번호폐기물데이터 기준일자
6667(주)푸드엔남천지점수영로402<NA>생활계폐기물2024-04-22
6768망미중학교망미동 952-2051-750-0772생활계폐기물2024-04-22
6869에셋테크(주)민락동 181-169051-751-1987생활계폐기물2024-04-22
6970(주)키친보리에 민락점민락동 113-31051-726-8841생활계폐기물2024-04-22
7071(주)조세호광안동 196-9<NA>생활계폐기물2024-04-22
7172(주)랜드 숙성도 광안점광안동 196-9 2층 201호<NA>생활계폐기물2024-04-22
7273파로스오피스텔민락동 177-1051-751-6329생활계폐기물2024-04-22
7374㈜해그리다민락수변로239번길 14_ 3층<NA>생활계폐기물2024-04-22
7475㈜씨앤피에셋 해인빌딩수영로 671<NA>생활계폐기물2024-04-22
7576서희스타힐스 센텀프리모광안해변로 311_ 서희스타힐스 센텀프리모<NA>생활계폐기물2024-04-22