Overview

Dataset statistics

Number of variables7
Number of observations750
Missing cells206
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Text3
Categorical2
DateTime1

Dataset

Description부산광역시_부산진구_쓰레기종량제봉투판매업소_20191022
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15045191

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 205 (27.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:05:38.306460
Analysis finished2023-12-10 16:05:39.568612
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct750
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375.5
Minimum1
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2023-12-11T01:05:40.010585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.45
Q1188.25
median375.5
Q3562.75
95-th percentile712.55
Maximum750
Range749
Interquartile range (IQR)374.5

Descriptive statistics

Standard deviation216.65064
Coefficient of variation (CV)0.57696575
Kurtosis-1.2
Mean375.5
Median Absolute Deviation (MAD)187.5
Skewness0
Sum281625
Variance46937.5
MonotonicityStrictly increasing
2023-12-11T01:05:40.255922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
505 1
 
0.1%
496 1
 
0.1%
497 1
 
0.1%
498 1
 
0.1%
499 1
 
0.1%
500 1
 
0.1%
501 1
 
0.1%
502 1
 
0.1%
503 1
 
0.1%
Other values (740) 740
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
750 1
0.1%
749 1
0.1%
748 1
0.1%
747 1
0.1%
746 1
0.1%
745 1
0.1%
744 1
0.1%
743 1
0.1%
742 1
0.1%
741 1
0.1%

상호
Text

Distinct698
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2023-12-11T01:05:40.621106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.268
Min length2

Characters and Unicode

Total characters5451
Distinct characters395
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

Unique663 ?
Unique (%)88.4%

Sample

1st row(주)이랜드리테일 엔씨서면점
2nd row(주)전포두배로마트
3rd row(주)지에스리테일초읍점
4th row(주)지에스리테일개금점
5th row(주)지에스리테일부암점
ValueCountFrequency (%)
씨유 49
 
5.2%
gs25 22
 
2.3%
세븐일레븐 19
 
2.0%
미니스톱 17
 
1.8%
지에스(gs)25 13
 
1.4%
이마트24 9
 
1.0%
주)코리아세븐 8
 
0.8%
위드미 7
 
0.7%
빅세일마트 7
 
0.7%
탑플러스마트 6
 
0.6%
Other values (713) 789
83.4%
2023-12-11T01:05:41.197103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 310
 
5.7%
마 205
 
3.8%
트 202
 
3.7%
197
 
3.6%
퍼 125
 
2.3%
부 123
 
2.3%
슈 121
 
2.2%
2 109
 
2.0%
스 109
 
2.0%
산 99
 
1.8%
Other values (385) 3851
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4673
85.7%
Decimal Number 226
 
4.1%
Space Separator 197
 
3.6%
Uppercase Letter 183
 
3.4%
Close Punctuation 68
 
1.2%
Open Punctuation 68
 
1.2%
Lowercase Letter 24
 
0.4%
Other Symbol 8
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 310
 
6.6%
마 205
 
4.4%
트 202
 
4.3%
퍼 125
 
2.7%
부 123
 
2.6%
슈 121
 
2.6%
스 109
 
2.3%
산 99
 
2.1%
유 96
 
2.1%
씨 91
 
1.9%
Other values (345) 3192
68.3%
Uppercase Letter
ValueCountFrequency (%)
S 65
35.5%
G 64
35.0%
C 19
 
10.4%
U 8
 
4.4%
D 5
 
2.7%
K 5
 
2.7%
L 5
 
2.7%
J 3
 
1.6%
N 2
 
1.1%
H 2
 
1.1%
Other values (4) 5
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
e 8
33.3%
t 4
16.7%
a 2
 
8.3%
m 2
 
8.3%
i 1
 
4.2%
y 1
 
4.2%
n 1
 
4.2%
c 1
 
4.2%
s 1
 
4.2%
l 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 109
48.2%
5 84
37.2%
4 25
 
11.1%
7 2
 
0.9%
3 2
 
0.9%
1 2
 
0.9%
9 1
 
0.4%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4681
85.9%
Common 563
 
10.3%
Latin 207
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 310
 
6.6%
마 205
 
4.4%
트 202
 
4.3%
퍼 125
 
2.7%
부 123
 
2.6%
슈 121
 
2.6%
스 109
 
2.3%
산 99
 
2.1%
유 96
 
2.1%
씨 91
 
1.9%
Other values (346) 3200
68.4%
Latin
ValueCountFrequency (%)
S 65
31.4%
G 64
30.9%
C 19
 
9.2%
e 8
 
3.9%
U 8
 
3.9%
D 5
 
2.4%
K 5
 
2.4%
L 5
 
2.4%
t 4
 
1.9%
J 3
 
1.4%
Other values (16) 21
 
10.1%
Common
ValueCountFrequency (%)
197
35.0%
2 109
19.4%
5 84
14.9%
) 68
 
12.1%
( 68
 
12.1%
4 25
 
4.4%
. 3
 
0.5%
7 2
 
0.4%
3 2
 
0.4%
1 2
 
0.4%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4673
85.7%
ASCII 770
 
14.1%
None 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 310
 
6.6%
마 205
 
4.4%
트 202
 
4.3%
퍼 125
 
2.7%
부 123
 
2.6%
슈 121
 
2.6%
스 109
 
2.3%
산 99
 
2.1%
유 96
 
2.1%
씨 91
 
1.9%
Other values (345) 3192
68.3%
ASCII
ValueCountFrequency (%)
197
25.6%
2 109
14.2%
5 84
10.9%
) 68
 
8.8%
( 68
 
8.8%
S 65
 
8.4%
G 64
 
8.3%
4 25
 
3.2%
C 19
 
2.5%
e 8
 
1.0%
Other values (29) 63
 
8.2%
None
ValueCountFrequency (%)
㈜ 8
100.0%

지역명
Categorical

Distinct29
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
양정동
88 
부전동
57 
부전1동
 
45
초읍동
 
42
가야동
 
42
Other values (24)
476 

Length

Max length9
Median length4
Mean length3.5146667
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row전포1동
2nd row전포
3rd row초읍동
4th row개금3동
5th row부암3동

Common Values

ValueCountFrequency (%)
양정동 88
 
11.7%
부전동 57
 
7.6%
부전1동 45
 
6.0%
초읍동 42
 
5.6%
가야동 42
 
5.6%
범천동 37
 
4.9%
연지동 33
 
4.4%
부암동 33
 
4.4%
부암3동 31
 
4.1%
당감1동 31
 
4.1%
Other values (19) 311
41.5%

Length

2023-12-11T01:05:41.406709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양정동 88
 
11.7%
부전동 57
 
7.6%
부전1동 45
 
6.0%
초읍동 42
 
5.6%
가야동 42
 
5.6%
범천동 37
 
4.9%
연지동 33
 
4.4%
부암동 33
 
4.4%
부암3동 31
 
4.1%
당감1동 31
 
4.1%
Other values (19) 311
41.5%

소재지 주소
Text

Distinct743
Distinct (%)99.2%
Missing1
Missing (%)0.1%
Memory size6.0 KiB
2023-12-11T01:05:41.802218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length24.735648
Min length7

Characters and Unicode

Total characters18527
Distinct characters256
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique738 ?
Unique (%)98.5%

Sample

1st row부산광역시 부산진구 동천로 92(전포동)
2nd row부산광역시 부산진구 동천로 112(전포동)
3rd row부산진구 새싹로 244 (초읍동)
4th row부산진구 백양관문로 7, 1호 (개금동, 아파트단지내복합상가)
5th row부산진구 당감로 79(부암동, 화성삼성아파트 내)
ValueCountFrequency (%)
부산진구 733
 
21.8%
부산광역시 241
 
7.2%
부전동 57
 
1.7%
가야동 54
 
1.6%
당감동 51
 
1.5%
양정동 50
 
1.5%
개금동 48
 
1.4%
전포동 47
 
1.4%
범천동 44
 
1.3%
부암동 42
 
1.2%
Other values (1017) 2003
59.4%
2023-12-11T01:05:42.408506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2626
 
14.2%
부 1160
 
6.3%
산 997
 
5.4%
동 841
 
4.5%
1 840
 
4.5%
진 777
 
4.2%
로 742
 
4.0%
구 739
 
4.0%
( 699
 
3.8%
) 635
 
3.4%
Other values (246) 8471
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10777
58.2%
Decimal Number 3302
 
17.8%
Space Separator 2626
 
14.2%
Open Punctuation 699
 
3.8%
Close Punctuation 635
 
3.4%
Other Punctuation 358
 
1.9%
Dash Punctuation 114
 
0.6%
Uppercase Letter 14
 
0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1160
 
10.8%
산 997
 
9.3%
동 841
 
7.8%
진 777
 
7.2%
로 742
 
6.9%
구 739
 
6.9%
번 379
 
3.5%
길 374
 
3.5%
광 283
 
2.6%
전 269
 
2.5%
Other values (222) 4216
39.1%
Decimal Number
ValueCountFrequency (%)
1 840
25.4%
2 398
12.1%
3 315
 
9.5%
0 301
 
9.1%
5 279
 
8.4%
6 276
 
8.4%
4 266
 
8.1%
7 221
 
6.7%
9 204
 
6.2%
8 202
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
A 3
21.4%
H 2
 
14.3%
L 2
 
14.3%
D 1
 
7.1%
S 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 357
99.7%
* 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2626
100.0%
Open Punctuation
ValueCountFrequency (%)
( 699
100.0%
Close Punctuation
ValueCountFrequency (%)
) 635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10777
58.2%
Common 7735
41.7%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1160
 
10.8%
산 997
 
9.3%
동 841
 
7.8%
진 777
 
7.2%
로 742
 
6.9%
구 739
 
6.9%
번 379
 
3.5%
길 374
 
3.5%
광 283
 
2.6%
전 269
 
2.5%
Other values (222) 4216
39.1%
Common
ValueCountFrequency (%)
2626
33.9%
1 840
 
10.9%
( 699
 
9.0%
) 635
 
8.2%
2 398
 
5.1%
, 357
 
4.6%
3 315
 
4.1%
0 301
 
3.9%
5 279
 
3.6%
6 276
 
3.6%
Other values (7) 1009
 
13.0%
Latin
ValueCountFrequency (%)
B 5
33.3%
A 3
20.0%
H 2
 
13.3%
L 2
 
13.3%
e 1
 
6.7%
D 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10776
58.2%
ASCII 7750
41.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2626
33.9%
1 840
 
10.8%
( 699
 
9.0%
) 635
 
8.2%
2 398
 
5.1%
, 357
 
4.6%
3 315
 
4.1%
0 301
 
3.9%
5 279
 
3.6%
6 276
 
3.6%
Other values (14) 1024
 
13.2%
Hangul
ValueCountFrequency (%)
부 1160
 
10.8%
산 997
 
9.3%
동 841
 
7.8%
진 777
 
7.2%
로 742
 
6.9%
구 739
 
6.9%
번 379
 
3.5%
길 374
 
3.5%
광 283
 
2.6%
전 269
 
2.5%
Other values (221) 4215
39.1%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

전화번호
Text

MISSING 

Distinct542
Distinct (%)99.4%
Missing205
Missing (%)27.3%
Memory size6.0 KiB
2023-12-11T01:05:42.721347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.001835
Min length12

Characters and Unicode

Total characters6541
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

Unique539 ?
Unique (%)98.9%

Sample

1st row051-794-7041
2nd row051-807-0120
3rd row051-895-5161
4th row051-802-4944
5th row051-897-9822
ValueCountFrequency (%)
051-866-9400 2
 
0.4%
051-817-9996 2
 
0.4%
051-808-4737 2
 
0.4%
051-808-2859 1
 
0.2%
051-802-2815 1
 
0.2%
051-862-6391 1
 
0.2%
051-819-1937 1
 
0.2%
051-794-7041 1
 
0.2%
051-805-7015 1
 
0.2%
051-803-2904 1
 
0.2%
Other values (532) 532
97.6%
2023-12-11T01:05:43.152200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1090
16.7%
0 1014
15.5%
1 893
13.7%
5 863
13.2%
8 743
11.4%
9 413
 
6.3%
6 335
 
5.1%
3 313
 
4.8%
2 312
 
4.8%
7 296
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5451
83.3%
Dash Punctuation 1090
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1014
18.6%
1 893
16.4%
5 863
15.8%
8 743
13.6%
9 413
7.6%
6 335
 
6.1%
3 313
 
5.7%
2 312
 
5.7%
7 296
 
5.4%
4 269
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1090
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1090
16.7%
0 1014
15.5%
1 893
13.7%
5 863
13.2%
8 743
11.4%
9 413
 
6.3%
6 335
 
5.1%
3 313
 
4.8%
2 312
 
4.8%
7 296
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1090
16.7%
0 1014
15.5%
1 893
13.7%
5 863
13.2%
8 743
11.4%
9 413
 
6.3%
6 335
 
5.1%
3 313
 
4.8%
2 312
 
4.8%
7 296
 
4.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
부산광역시 부산진구청
750 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 부산진구청
2nd row부산광역시 부산진구청
3rd row부산광역시 부산진구청
4th row부산광역시 부산진구청
5th row부산광역시 부산진구청

Common Values

ValueCountFrequency (%)
부산광역시 부산진구청 750
100.0%

Length

2023-12-11T01:05:43.313056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:05:43.421885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 750
50.0%
부산진구청 750
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2019-10-22 00:00:00
Maximum2019-10-22 00:00:00
2023-12-11T01:05:43.506331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:05:43.604110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:05:38.960451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:05:43.728046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역명
연번1.0000.145
지역명0.1451.000
2023-12-11T01:05:43.827564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역명
연번1.0000.050
지역명0.0501.000

Missing values

2023-12-11T01:05:39.177050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:05:39.346432image/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.
2023-12-11T01:05:39.493886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번상호지역명소재지 주소전화번호관리기관명데이터기준일자
01(주)이랜드리테일 엔씨서면점전포1동부산광역시 부산진구 동천로 92(전포동)051-794-7041부산광역시 부산진구청2019-10-22
12(주)전포두배로마트전포부산광역시 부산진구 동천로 112(전포동)<NA>부산광역시 부산진구청2019-10-22
23(주)지에스리테일초읍점초읍동부산진구 새싹로 244 (초읍동)051-807-0120부산광역시 부산진구청2019-10-22
34(주)지에스리테일개금점개금3동부산진구 백양관문로 7, 1호 (개금동, 아파트단지내복합상가)051-895-5161부산광역시 부산진구청2019-10-22
45(주)지에스리테일부암점부암3동부산진구 당감로 79(부암동, 화성삼성아파트 내)051-802-4944부산광역시 부산진구청2019-10-22
56(주)한양스토어백양당감1동부산광역시 부산진구 백양관문로 104-1, 2층 17호(당감동, 국제051-897-9822부산광역시 부산진구청2019-10-22
67(주)한양스토아행복당감1동부산광역시 부산진구 백양산로53번길 84, 상가동 지하층(당감동,051-893-3100부산광역시 부산진구청2019-10-22
78(주)한양스토아사랑부암3동부산진구 백양산로 48 (부암동)051-818-8007부산광역시 부산진구청2019-10-22
89(주)현대빅세일마트양정동부산광역시 부산진구 동평로 350, 지하1층 비101호(양정동, 양정051-865-2007부산광역시 부산진구청2019-10-22
910(주)코리아세븐 부산전포해네스점전포3동부산광역시 부산진구 동성로15번길 37, 1층 전체(전포동0051-816-9466부산광역시 부산진구청2019-10-22
연번상호지역명소재지 주소전화번호관리기관명데이터기준일자
740741영태상회범천2동부산진구 안창로10번가길 12-4 (범천동)<NA>부산광역시 부산진구청2019-10-22
741742영광슈퍼양정동부산진구 양연로 38-2 (양정동)051-868-1090부산광역시 부산진구청2019-10-22
742743영광슈퍼(개금동)개금3동부산역시 부산진구 백양대로 255(개금동)051-893-7303부산광역시 부산진구청2019-10-22
743744영남슈퍼전포1동부산진구 동성로 53 (전포동)051-804-9659부산광역시 부산진구청2019-10-22
744745예천상회부암3동부산진구 백양순환로95번길 4 (부암동)051-809-4842부산광역시 부산진구청2019-10-22
745746예천슈퍼초읍동부산진구 초읍천로55번나길 2 (초읍동)051-806-8984부산광역시 부산진구청2019-10-22
746747예성25시슈퍼당감4동부산진구 동평로 76 (당감동)051-895-0082부산광역시 부산진구청2019-10-22
747748원플러스25서면부전동부산진구 서전로 10번길 31-3 (부전동)051-807-9555부산광역시 부산진구청2019-10-22
748749원당슈퍼초읍동부산진구 성지로74번길 101 (초읍동)051-805-2114부산광역시 부산진구청2019-10-22
749750원마트부전1동부산광역시 부산진구 새싹로28번길 27, 1층 (부전동)<NA>부산광역시 부산진구청2019-10-22