Overview

Dataset statistics

Number of variables7
Number of observations725
Missing cells157
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.8 KiB
Average record size in memory56.2 B

Variable types

Text3
DateTime3
Categorical1

Dataset

Description울산광역시 남구 종량제봉투판매소 현황에 대한 데이터로 사업장명, 소재지지번주소, 소재지도로명주소, 인허가일자 등의 항목을 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/3076239/fileData.do

Alerts

업소구분명 has constant value ""Constant
인허가일자 has 52 (7.2%) missing valuesMissing
신청일자 has 52 (7.2%) missing valuesMissing
지정일자 has 52 (7.2%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:48:41.859145
Analysis finished2023-12-11 23:48:42.671182
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매소명
Text

Distinct687
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T08:48:42.894825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.08
Min length2

Characters and Unicode

Total characters5858
Distinct characters372
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)90.6%

Sample

1st row한살림울산생협협동조합
2nd row몬스터식자재아울렛
3rd row에스마켓
4th row현대문구사
5th row씨유 달동환희점
ValueCountFrequency (%)
씨유 61
 
6.0%
gs25 47
 
4.6%
세븐일레븐 41
 
4.0%
이마트24 40
 
3.9%
미니스톱 13
 
1.3%
지에스25 12
 
1.2%
위드미 6
 
0.6%
빅세일마트 5
 
0.5%
주)코리아세븐 5
 
0.5%
야음점 4
 
0.4%
Other values (704) 783
77.0%
2023-12-12T08:48:43.340624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 392
 
6.7%
292
 
5.0%
산 283
 
4.8%
마 241
 
4.1%
트 232
 
4.0%
울 230
 
3.9%
2 147
 
2.5%
유 111
 
1.9%
븐 108
 
1.8%
이 101
 
1.7%
Other values (362) 3721
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4952
84.5%
Decimal Number 310
 
5.3%
Space Separator 292
 
5.0%
Uppercase Letter 192
 
3.3%
Open Punctuation 52
 
0.9%
Close Punctuation 50
 
0.9%
Other Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 392
 
7.9%
산 283
 
5.7%
마 241
 
4.9%
트 232
 
4.7%
울 230
 
4.6%
유 111
 
2.2%
븐 108
 
2.2%
이 101
 
2.0%
씨 100
 
2.0%
동 97
 
2.0%
Other values (328) 3057
61.7%
Uppercase Letter
ValueCountFrequency (%)
S 81
42.2%
G 78
40.6%
K 5
 
2.6%
R 4
 
2.1%
L 3
 
1.6%
C 3
 
1.6%
W 3
 
1.6%
J 3
 
1.6%
D 2
 
1.0%
M 2
 
1.0%
Other values (8) 8
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 147
47.4%
5 97
31.3%
4 53
 
17.1%
1 6
 
1.9%
3 4
 
1.3%
6 3
 
1.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
w 2
66.7%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4953
84.6%
Common 710
 
12.1%
Latin 195
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 392
 
7.9%
산 283
 
5.7%
마 241
 
4.9%
트 232
 
4.7%
울 230
 
4.6%
유 111
 
2.2%
븐 108
 
2.2%
이 101
 
2.0%
씨 100
 
2.0%
동 97
 
2.0%
Other values (329) 3058
61.7%
Latin
ValueCountFrequency (%)
S 81
41.5%
G 78
40.0%
K 5
 
2.6%
R 4
 
2.1%
L 3
 
1.5%
C 3
 
1.5%
W 3
 
1.5%
J 3
 
1.5%
D 2
 
1.0%
M 2
 
1.0%
Other values (10) 11
 
5.6%
Common
ValueCountFrequency (%)
292
41.1%
2 147
20.7%
5 97
 
13.7%
4 53
 
7.5%
( 52
 
7.3%
) 50
 
7.0%
1 6
 
0.8%
3 4
 
0.6%
6 3
 
0.4%
- 2
 
0.3%
Other values (3) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4952
84.5%
ASCII 905
 
15.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 392
 
7.9%
산 283
 
5.7%
마 241
 
4.9%
트 232
 
4.7%
울 230
 
4.6%
유 111
 
2.2%
븐 108
 
2.2%
이 101
 
2.0%
씨 100
 
2.0%
동 97
 
2.0%
Other values (328) 3057
61.7%
ASCII
ValueCountFrequency (%)
292
32.3%
2 147
16.2%
5 97
 
10.7%
S 81
 
9.0%
G 78
 
8.6%
4 53
 
5.9%
( 52
 
5.7%
) 50
 
5.5%
1 6
 
0.7%
K 5
 
0.6%
Other values (23) 44
 
4.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지지번주소
Text

Distinct710
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T08:48:43.650438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length19.016552
Min length10

Characters and Unicode

Total characters13787
Distinct characters174
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

Unique695 ?
Unique (%)95.9%

Sample

1st row울산광역시 울주군 굴화리 374-7
2nd row울산광역시 남구 달동 1360-3
3rd row울산광역시 남구 달동 119-1
4th row울산광역시 남구 달동 119-1
5th row울산광역시 남구 달동 122-7
ValueCountFrequency (%)
울산광역시 724
25.7%
남구 706
25.1%
신정동 86
 
3.1%
삼산동 82
 
2.9%
달동 82
 
2.9%
무거동 65
 
2.3%
야음동 40
 
1.4%
옥동 25
 
0.9%
b 22
 
0.8%
신정1동 20
 
0.7%
Other values (783) 961
34.2%
2023-12-12T08:48:44.255574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2088
15.1%
1 886
 
6.4%
산 841
 
6.1%
울 732
 
5.3%
동 729
 
5.3%
시 727
 
5.3%
광 725
 
5.3%
역 724
 
5.3%
구 721
 
5.2%
남 709
 
5.1%
Other values (164) 4905
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7462
54.1%
Decimal Number 3465
25.1%
Space Separator 2088
 
15.1%
Dash Punctuation 651
 
4.7%
Other Punctuation 40
 
0.3%
Close Punctuation 25
 
0.2%
Open Punctuation 25
 
0.2%
Lowercase Letter 25
 
0.2%
Uppercase Letter 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 841
11.3%
울 732
9.8%
동 729
9.8%
시 727
9.7%
광 725
9.7%
역 724
9.7%
구 721
9.7%
남 709
9.5%
정 209
 
2.8%
신 208
 
2.8%
Other values (140) 1137
15.2%
Decimal Number
ValueCountFrequency (%)
1 886
25.6%
2 425
12.3%
5 346
 
10.0%
3 328
 
9.5%
6 327
 
9.4%
4 296
 
8.5%
8 245
 
7.1%
7 215
 
6.2%
9 213
 
6.1%
0 184
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 29
72.5%
@ 8
 
20.0%
. 2
 
5.0%
/ 1
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
C 1
 
20.0%
A 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
b 24
96.0%
a 1
 
4.0%
Space Separator
ValueCountFrequency (%)
2088
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 651
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Math Symbol
ValueCountFrequency (%)
～ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7462
54.1%
Common 6295
45.7%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 841
11.3%
울 732
9.8%
동 729
9.8%
시 727
9.7%
광 725
9.7%
역 724
9.7%
구 721
9.7%
남 709
9.5%
정 209
 
2.8%
신 208
 
2.8%
Other values (140) 1137
15.2%
Common
ValueCountFrequency (%)
2088
33.2%
1 886
14.1%
- 651
 
10.3%
2 425
 
6.8%
5 346
 
5.5%
3 328
 
5.2%
6 327
 
5.2%
4 296
 
4.7%
8 245
 
3.9%
7 215
 
3.4%
Other values (9) 488
 
7.8%
Latin
ValueCountFrequency (%)
b 24
80.0%
B 3
 
10.0%
a 1
 
3.3%
C 1
 
3.3%
A 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7462
54.1%
ASCII 6324
45.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2088
33.0%
1 886
14.0%
- 651
 
10.3%
2 425
 
6.7%
5 346
 
5.5%
3 328
 
5.2%
6 327
 
5.2%
4 296
 
4.7%
8 245
 
3.9%
7 215
 
3.4%
Other values (13) 517
 
8.2%
Hangul
ValueCountFrequency (%)
산 841
11.3%
울 732
9.8%
동 729
9.8%
시 727
9.7%
광 725
9.7%
역 724
9.7%
구 721
9.7%
남 709
9.5%
정 209
 
2.8%
신 208
 
2.8%
Other values (140) 1137
15.2%
None
ValueCountFrequency (%)
～ 1
100.0%

소재지도로명주소
Text

Distinct720
Distinct (%)99.4%
Missing1
Missing (%)0.1%
Memory size5.8 KiB
2023-12-12T08:48:44.686676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length21.425414
Min length13

Characters and Unicode

Total characters15512
Distinct characters202
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

Unique716 ?
Unique (%)98.9%

Sample

1st row울산광역시 울주군 범서읍 굴화2길22-10(굴화리)
2nd row울산광역시 남구 삼산로 217 (달동)
3rd row울산광역시 남구 번영로107번길 5
4th row울산광역시 남구 번영로107번길 17, 107호(달동)
5th row울산광역시 남구 신정로38번길 9(달동)
ValueCountFrequency (%)
울산광역시 723
24.2%
남구 703
23.6%
1층 20
 
0.7%
수암로 20
 
0.7%
삼산동 16
 
0.5%
무거동 14
 
0.5%
14 14
 
0.5%
중앙로 14
 
0.5%
신정동 12
 
0.4%
문수로 11
 
0.4%
Other values (899) 1438
48.2%
2023-12-12T08:48:45.293324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2261
 
14.6%
산 885
 
5.7%
1 758
 
4.9%
남 732
 
4.7%
울 730
 
4.7%
구 727
 
4.7%
광 726
 
4.7%
시 725
 
4.7%
역 723
 
4.7%
로 692
 
4.5%
Other values (192) 6553
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9452
60.9%
Decimal Number 2921
 
18.8%
Space Separator 2261
 
14.6%
Close Punctuation 312
 
2.0%
Open Punctuation 312
 
2.0%
Other Punctuation 124
 
0.8%
Dash Punctuation 117
 
0.8%
Uppercase Letter 7
 
< 0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 885
 
9.4%
남 732
 
7.7%
울 730
 
7.7%
구 727
 
7.7%
광 726
 
7.7%
시 725
 
7.7%
역 723
 
7.6%
로 692
 
7.3%
번 440
 
4.7%
길 433
 
4.6%
Other values (169) 2639
27.9%
Decimal Number
ValueCountFrequency (%)
1 758
26.0%
2 417
14.3%
3 318
10.9%
4 267
 
9.1%
0 225
 
7.7%
5 212
 
7.3%
6 194
 
6.6%
7 187
 
6.4%
8 184
 
6.3%
9 159
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 115
92.7%
@ 7
 
5.6%
. 2
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
71.4%
C 1
 
14.3%
A 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
～ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
2261
100.0%
Close Punctuation
ValueCountFrequency (%)
) 312
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9452
60.9%
Common 6051
39.0%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 885
 
9.4%
남 732
 
7.7%
울 730
 
7.7%
구 727
 
7.7%
광 726
 
7.7%
시 725
 
7.7%
역 723
 
7.6%
로 692
 
7.3%
번 440
 
4.7%
길 433
 
4.6%
Other values (169) 2639
27.9%
Common
ValueCountFrequency (%)
2261
37.4%
1 758
 
12.5%
2 417
 
6.9%
3 318
 
5.3%
) 312
 
5.2%
( 312
 
5.2%
4 267
 
4.4%
0 225
 
3.7%
5 212
 
3.5%
6 194
 
3.2%
Other values (9) 775
 
12.8%
Latin
ValueCountFrequency (%)
B 5
55.6%
b 2
 
22.2%
C 1
 
11.1%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9452
60.9%
ASCII 6059
39.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2261
37.3%
1 758
 
12.5%
2 417
 
6.9%
3 318
 
5.2%
) 312
 
5.1%
( 312
 
5.1%
4 267
 
4.4%
0 225
 
3.7%
5 212
 
3.5%
6 194
 
3.2%
Other values (12) 783
 
12.9%
Hangul
ValueCountFrequency (%)
산 885
 
9.4%
남 732
 
7.7%
울 730
 
7.7%
구 727
 
7.7%
광 726
 
7.7%
시 725
 
7.7%
역 723
 
7.6%
로 692
 
7.3%
번 440
 
4.7%
길 433
 
4.6%
Other values (169) 2639
27.9%
None
ValueCountFrequency (%)
～ 1
100.0%

인허가일자
Date

MISSING 

Distinct536
Distinct (%)79.6%
Missing52
Missing (%)7.2%
Memory size5.8 KiB
Minimum1998-10-28 00:00:00
Maximum2022-10-07 00:00:00
2023-12-12T08:48:45.486902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:48:45.647157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신청일자
Date

MISSING 

Distinct536
Distinct (%)79.6%
Missing52
Missing (%)7.2%
Memory size5.8 KiB
Minimum1998-10-28 00:00:00
Maximum2022-10-07 00:00:00
2023-12-12T08:48:45.806720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:48:45.996199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
지정
725 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 725
100.0%

Length

2023-12-12T08:48:46.167482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:48:46.265119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 725
100.0%

지정일자
Date

MISSING 

Distinct536
Distinct (%)79.6%
Missing52
Missing (%)7.2%
Memory size5.8 KiB
Minimum1998-10-28 00:00:00
Maximum2022-10-07 00:00:00
2023-12-12T08:48:46.364059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:48:46.531346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-12T08:48:42.357833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:48:42.490169image/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.
2023-12-12T08:48:42.611592image/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

판매소명소재지지번주소소재지도로명주소인허가일자신청일자업소구분명지정일자
0한살림울산생협협동조합울산광역시 울주군 굴화리 374-7울산광역시 울주군 범서읍 굴화2길22-10(굴화리)2014-07-032014-07-03지정2014-07-03
1몬스터식자재아울렛울산광역시 남구 달동 1360-3울산광역시 남구 삼산로 217 (달동)2019-10-242019-10-24지정2019-10-24
2에스마켓울산광역시 남구 달동 119-1울산광역시 남구 번영로107번길 5<NA><NA>지정<NA>
3현대문구사울산광역시 남구 달동 119-1울산광역시 남구 번영로107번길 17, 107호(달동)2007-11-152007-11-15지정2007-11-15
4씨유 달동환희점울산광역시 남구 달동 122-7울산광역시 남구 신정로38번길 9(달동)2015-04-272015-04-27지정2015-04-27
5매일마트울산광역시 남구 달동 124-4울산광역시 남구 삼산로156번길 12-1 (달동)2004-04-072004-04-07지정2004-04-07
6GS25현대파크점울산광역시 남구 달동 124-6울산광역시 남구 삼산로156번길 142002-08-012002-08-01지정2002-08-01
7세븐일레븐 울산삼산왕생점울산광역시 남구 달동 1248-8울산광역시 남구 왕생로45번길 14, A동(달동)2007-07-242007-07-24지정2007-07-24
8이마트24 울산파래스점울산광역시 남구 달동 1249-3울산광역시 남구 왕생로45번길112007-07-242007-07-24지정2007-07-24
9GS25 울산삼산점울산광역시 남구 달동 1249-4울산광역시 남구 삼산로212번길 102007-07-242007-07-24지정2007-07-24
판매소명소재지지번주소소재지도로명주소인허가일자신청일자업소구분명지정일자
715옛날희망슈퍼울산광역시 남구 장생포동226-10울산광역시 남구 장생포고래로 1412008-03-262008-03-26지정2008-03-26
716수전철물 공구 설비전문울산광역시 중구 반구동 381울산광역시 중구 내황15길 23(반구동)2019-08-142019-08-14지정2019-08-14
717극동상사울산광역시 중구 태화동 319-2울산광역시 중구 명난로 29 (태화동)2019-07-022019-07-02지정2019-07-02
718목화건재울산광역시 중구 진장동 909-2울산광역시 중구 염포로 200(진장동)2019-07-162019-07-16지정2019-07-16
719드림시스템울산광역시 중구 학성동 379-2울산광역시 중구 학성4길63(학성동 379-2)2017-12-262017-12-26지정2017-12-26
720공단영마트울산광역시 남구 황성동 138울산광역시 남구 처용로 731(황성동)2018-08-072018-08-07지정2018-08-07
721더베스트할인마트울산광역시 남구 달동 1330-3울산광역시 남구 왕생로86번길 432008-03-202008-03-20지정2008-03-20
722위드미 울산신정점울산광역시 남구 신정동 1602-8거마로118번길, 1층(신정동)2006-03-102006-03-10지정2006-03-10
723뉴한양마트무거동 327-37울산광역시 남구 북부순환로13번길 9 (무거동)2011-11-072011-11-07지정2011-11-07
724우리상사울산광역시 중구 북정동 315-38울산광역시 중구 시원길 131, 202호(북정동)2015-11-192015-11-19지정2015-11-19