Overview

Dataset statistics

Number of variables6
Number of observations72
Missing cells6
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory50.8 B

Variable types

Numeric1
Text3
Categorical2

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 6 (8.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:38:24.576003
Analysis finished2023-12-12 09:38:25.316117
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T18:38:25.406477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-12T18:38:25.929995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

업체명
Text

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T18:38:26.295923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length7.5833333
Min length3

Characters and Unicode

Total characters546
Distinct characters165
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

Unique66 ?
Unique (%)91.7%

Sample

1st row민락어패류시장
2nd row광안어패류시장
3rd row민락회타운
4th row성진프라자
5th row홈플러스수퍼
ValueCountFrequency (%)
망미중학교 2
 
2.3%
주)푸드엔남천지점 2
 
2.3%
파로스 2
 
2.3%
오피스텔 2
 
2.3%
삼익비치b상가 1
 
1.2%
㈜코스트코리아 1
 
1.2%
부산사업소 1
 
1.2%
kbs비즈니스 1
 
1.2%
부산여자상업고등학교 1
 
1.2%
부산활어도매업협동조합 1
 
1.2%
Other values (72) 72
83.7%
2023-12-12T18:38:26.841321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 21
 
3.8%
교 21
 
3.8%
스 15
 
2.7%
등 14
 
2.6%
14
 
2.6%
원 14
 
2.6%
병 13
 
2.4%
산 10
 
1.8%
광 10
 
1.8%
안 10
 
1.8%
Other values (155) 404
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
92.5%
Space Separator 14
 
2.6%
Close Punctuation 7
 
1.3%
Open Punctuation 7
 
1.3%
Uppercase Letter 6
 
1.1%
Other Symbol 4
 
0.7%
Decimal Number 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 21
 
4.2%
교 21
 
4.2%
스 15
 
3.0%
등 14
 
2.8%
원 14
 
2.8%
병 13
 
2.6%
산 10
 
2.0%
광 10
 
2.0%
안 10
 
2.0%
초 10
 
2.0%
Other values (143) 367
72.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
K 1
16.7%
S 1
16.7%
G 1
16.7%
A 1
16.7%
Decimal Number
ValueCountFrequency (%)
0 1
33.3%
4 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
93.2%
Common 31
 
5.7%
Latin 6
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 21
 
4.1%
교 21
 
4.1%
스 15
 
2.9%
등 14
 
2.8%
원 14
 
2.8%
병 13
 
2.6%
산 10
 
2.0%
광 10
 
2.0%
안 10
 
2.0%
초 10
 
2.0%
Other values (144) 371
72.9%
Common
ValueCountFrequency (%)
14
45.2%
) 7
22.6%
( 7
22.6%
0 1
 
3.2%
4 1
 
3.2%
5 1
 
3.2%
Latin
ValueCountFrequency (%)
B 2
33.3%
K 1
16.7%
S 1
16.7%
G 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
92.5%
ASCII 37
 
6.8%
None 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 21
 
4.2%
교 21
 
4.2%
스 15
 
3.0%
등 14
 
2.8%
원 14
 
2.8%
병 13
 
2.6%
산 10
 
2.0%
광 10
 
2.0%
안 10
 
2.0%
초 10
 
2.0%
Other values (143) 367
72.7%
ASCII
ValueCountFrequency (%)
14
37.8%
) 7
18.9%
( 7
18.9%
B 2
 
5.4%
K 1
 
2.7%
S 1
 
2.7%
G 1
 
2.7%
A 1
 
2.7%
0 1
 
2.7%
4 1
 
2.7%
None
ValueCountFrequency (%)
㈜ 4
100.0%

주소
Text

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T18:38:27.142040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length13.875
Min length6

Characters and Unicode

Total characters999
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)97.2%

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 10
 
6.8%
광안해변로 7
 
4.8%
수영구 6
 
4.1%
연수로 3
 
2.1%
민락수변로 3
 
2.1%
호암로 3
 
2.1%
광안동 3
 
2.1%
연수로310번길 3
 
2.1%
민락동 3
 
2.1%
광남로 2
 
1.4%
Other values (96) 103
70.5%
2023-12-12T18:38:27.602247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
13.2%
로 66
 
6.6%
1 58
 
5.8%
동 54
 
5.4%
( 46
 
4.6%
) 46
 
4.6%
광 42
 
4.2%
안 37
 
3.7%
수 34
 
3.4%
2 34
 
3.4%
Other values (54) 450
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 501
50.2%
Decimal Number 260
26.0%
Space Separator 132
 
13.2%
Open Punctuation 46
 
4.6%
Close Punctuation 46
 
4.6%
Dash Punctuation 11
 
1.1%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 66
13.2%
동 54
 
10.8%
광 42
 
8.4%
안 37
 
7.4%
수 34
 
6.8%
길 24
 
4.8%
번 24
 
4.8%
영 21
 
4.2%
락 19
 
3.8%
변 19
 
3.8%
Other values (39) 161
32.1%
Decimal Number
ValueCountFrequency (%)
1 58
22.3%
2 34
13.1%
3 28
10.8%
5 26
10.0%
4 25
9.6%
7 23
 
8.8%
6 20
 
7.7%
9 19
 
7.3%
8 14
 
5.4%
0 13
 
5.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 501
50.2%
Common 498
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 66
13.2%
동 54
 
10.8%
광 42
 
8.4%
안 37
 
7.4%
수 34
 
6.8%
길 24
 
4.8%
번 24
 
4.8%
영 21
 
4.2%
락 19
 
3.8%
변 19
 
3.8%
Other values (39) 161
32.1%
Common
ValueCountFrequency (%)
132
26.5%
1 58
11.6%
( 46
 
9.2%
) 46
 
9.2%
2 34
 
6.8%
3 28
 
5.6%
5 26
 
5.2%
4 25
 
5.0%
7 23
 
4.6%
6 20
 
4.0%
Other values (5) 60
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 501
50.2%
ASCII 498
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
26.5%
1 58
11.6%
( 46
 
9.2%
) 46
 
9.2%
2 34
 
6.8%
3 28
 
5.6%
5 26
 
5.2%
4 25
 
5.0%
7 23
 
4.6%
6 20
 
4.0%
Other values (5) 60
12.0%
Hangul
ValueCountFrequency (%)
로 66
13.2%
동 54
 
10.8%
광 42
 
8.4%
안 37
 
7.4%
수 34
 
6.8%
길 24
 
4.8%
번 24
 
4.8%
영 21
 
4.2%
락 19
 
3.8%
변 19
 
3.8%
Other values (39) 161
32.1%

전화번호
Text

MISSING 

Distinct63
Distinct (%)95.5%
Missing6
Missing (%)8.3%
Memory size708.0 B
2023-12-12T18:38:27.891829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters792
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

Unique61 ?
Unique (%)92.4%

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%
051-760-0637 2
 
3.0%
051-752-1888 1
 
1.5%
051-760-1981 1
 
1.5%
051-751-1987 1
 
1.5%
051-750-0772 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
80.3%
2023-12-12T18:38:28.336064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 136
17.2%
- 132
16.7%
5 127
16.0%
1 111
14.0%
7 84
10.6%
2 49
 
6.2%
6 43
 
5.4%
3 31
 
3.9%
9 30
 
3.8%
8 30
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
83.3%
Dash Punctuation 132
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 136
20.6%
5 127
19.2%
1 111
16.8%
7 84
12.7%
2 49
 
7.4%
6 43
 
6.5%
3 31
 
4.7%
9 30
 
4.5%
8 30
 
4.5%
4 19
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 136
17.2%
- 132
16.7%
5 127
16.0%
1 111
14.0%
7 84
10.6%
2 49
 
6.2%
6 43
 
5.4%
3 31
 
3.9%
9 30
 
3.8%
8 30
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 136
17.2%
- 132
16.7%
5 127
16.0%
1 111
14.0%
7 84
10.6%
2 49
 
6.2%
6 43
 
5.4%
3 31
 
3.9%
9 30
 
3.8%
8 30
 
3.8%

폐기물
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
생활계폐기물
72 

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 72
100.0%

Length

2023-12-12T18:38:28.495755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:38:28.612715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활계폐기물 72
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-02-13
72 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-13
2nd row2023-02-13
3rd row2023-02-13
4th row2023-02-13
5th row2023-02-13

Common Values

ValueCountFrequency (%)
2023-02-13 72
100.0%

Length

2023-12-12T18:38:28.734836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:38:28.856979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-13 72
100.0%

Interactions

2023-12-12T18:38:24.988699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:38:28.957121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주소전화번호
연번1.0000.8240.9430.951
업체명0.8241.0001.0000.997
주소0.9431.0001.0001.000
전화번호0.9510.9971.0001.000

Missing values

2023-12-12T18:38:25.129578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:38:25.274127image/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)051-752-5304생활계폐기물2023-02-13
12광안어패류시장민락수변로7번길 19(민락동)051-757-3000생활계폐기물2023-02-13
23민락회타운민락수변로 1(민락동)051-761-2372생활계폐기물2023-02-13
34성진프라자민락수변로 5(민락동)051-756-2277생활계폐기물2023-02-13
45홈플러스수퍼수영로 625(광안동)051-760-2522생활계폐기물2023-02-13
56덕문여자고등학교연수로310번길 114(광안동)051-610-5800생활계폐기물2023-02-13
67부산동여자고등학교남천서로32번길39(남천동)051-750-5132생활계폐기물2023-02-13
78부산센텀병원수영로 677(광안동)051-610-9770생활계폐기물2023-02-13
89좋은강안병원수영로 493(남천동)051-911-7653생활계폐기물2023-02-13
910서호의료재단광남로 117(광안동)051-711-2206생활계폐기물2023-02-13
연번업체명주소전화번호폐기물데이터 기준일자
6263(주)푸드엔남천지점수영로402<NA>생활계폐기물2023-02-13
6364타워더모스트광안관리사무소민락수변로17번길36051-752-1888생활계폐기물2023-02-13
6465파로스 오피스텔광안해변로263051-751-6329생활계폐기물2023-02-13
6566(주)푸드엔남천지점수영로402<NA>생활계폐기물2023-02-13
6667망미중학교수영구 망미동 952-2 망미중학교051-750-0772생활계폐기물2023-02-13
6768에셋테크(주)수영구 민락동 181-169051-751-1987생활계폐기물2023-02-13
6869(주)키친보리에 민락점수영구 민락동 113-31051-726-8841생활계폐기물2023-02-13
6970(주)조세호수영구 광안동 196-9<NA>생활계폐기물2023-02-13
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