Overview

Dataset statistics

Number of variables4
Number of observations359
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory32.4 B

Variable types

Text4

Dataset

Description부산광역시 연제구 종량제 규격봉투 판매소 현황(판매소명, 대표자명, 사업장 주소, 전화번호) 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15051591/fileData.do

Reproduction

Analysis started2023-12-12 22:08:45.824754
Analysis finished2023-12-12 22:08:46.252444
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매소명
Text

Distinct352
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T07:08:46.402319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.83844
Min length5

Characters and Unicode

Total characters3891
Distinct characters290
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique345 ?
Unique (%)96.1%

Sample

1st row 거제슈퍼
2nd row 아라마트
3rd row 빅세일마트
4th row 세븐일레븐교대점
5th row 씨유교대샘터점
ValueCountFrequency (%)
씨유 49
 
9.0%
세븐일레븐 24
 
4.4%
지에스25 17
 
3.1%
gs25 16
 
2.9%
이마트24 16
 
2.9%
연산점 10
 
1.8%
지에스(gs)25 7
 
1.3%
주)코리아세븐 7
 
1.3%
미니스톱 4
 
0.7%
cu 4
 
0.7%
Other values (361) 392
71.8%
2023-12-13T07:08:46.758287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
912
23.4%
점 201
 
5.2%
산 195
 
5.0%
연 170
 
4.4%
마 117
 
3.0%
트 105
 
2.7%
스 81
 
2.1%
유 78
 
2.0%
2 71
 
1.8%
븐 66
 
1.7%
Other values (280) 1895
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2629
67.6%
Space Separator 912
 
23.4%
Decimal Number 158
 
4.1%
Uppercase Letter 99
 
2.5%
Close Punctuation 44
 
1.1%
Open Punctuation 43
 
1.1%
Lowercase Letter 4
 
0.1%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 201
 
7.6%
산 195
 
7.4%
연 170
 
6.5%
마 117
 
4.5%
트 105
 
4.0%
스 81
 
3.1%
유 78
 
3.0%
븐 66
 
2.5%
씨 65
 
2.5%
제 55
 
2.1%
Other values (246) 1496
56.9%
Uppercase Letter
ValueCountFrequency (%)
S 35
35.4%
G 33
33.3%
C 8
 
8.1%
U 6
 
6.1%
K 3
 
3.0%
R 2
 
2.0%
M 2
 
2.0%
D 1
 
1.0%
L 1
 
1.0%
O 1
 
1.0%
Other values (7) 7
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 71
44.9%
5 49
31.0%
4 20
 
12.7%
1 7
 
4.4%
0 3
 
1.9%
8 3
 
1.9%
3 3
 
1.9%
6 1
 
0.6%
9 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
m 1
25.0%
t 1
25.0%
a 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
912
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2630
67.6%
Common 1157
29.7%
Latin 103
 
2.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 201
 
7.6%
산 195
 
7.4%
연 170
 
6.5%
마 117
 
4.4%
트 105
 
4.0%
스 81
 
3.1%
유 78
 
3.0%
븐 66
 
2.5%
씨 65
 
2.5%
제 55
 
2.1%
Other values (246) 1497
56.9%
Latin
ValueCountFrequency (%)
S 35
34.0%
G 33
32.0%
C 8
 
7.8%
U 6
 
5.8%
K 3
 
2.9%
R 2
 
1.9%
M 2
 
1.9%
m 1
 
1.0%
t 1
 
1.0%
a 1
 
1.0%
Other values (11) 11
 
10.7%
Common
ValueCountFrequency (%)
912
78.8%
2 71
 
6.1%
5 49
 
4.2%
) 44
 
3.8%
( 43
 
3.7%
4 20
 
1.7%
1 7
 
0.6%
0 3
 
0.3%
8 3
 
0.3%
3 3
 
0.3%
Other values (2) 2
 
0.2%
Han
ValueCountFrequency (%)
韓 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2628
67.5%
ASCII 1260
32.4%
None 2
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
912
72.4%
2 71
 
5.6%
5 49
 
3.9%
) 44
 
3.5%
( 43
 
3.4%
S 35
 
2.8%
G 33
 
2.6%
4 20
 
1.6%
C 8
 
0.6%
1 7
 
0.6%
Other values (23) 38
 
3.0%
Hangul
ValueCountFrequency (%)
점 201
 
7.6%
산 195
 
7.4%
연 170
 
6.5%
마 117
 
4.5%
트 105
 
4.0%
스 81
 
3.1%
유 78
 
3.0%
븐 66
 
2.5%
씨 65
 
2.5%
제 55
 
2.1%
Other values (245) 1495
56.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%
CJK
ValueCountFrequency (%)
韓 1
100.0%

대표자
Text

Distinct327
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T07:08:47.087335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0835655
Min length4

Characters and Unicode

Total characters1825
Distinct characters153
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)85.8%

Sample

1st row 문창해
2nd row 권혁범
3rd row 전영옥
4th row 박영범
5th row 유현자
ValueCountFrequency (%)
정승인 9
 
2.5%
최경호 4
 
1.1%
김영태 4
 
1.1%
김수현 4
 
1.1%
김성수 3
 
0.8%
이영미 3
 
0.8%
강희석 2
 
0.5%
1명 2
 
0.5%
외 2
 
0.5%
윤성식 2
 
0.5%
Other values (319) 330
90.4%
2023-12-13T07:08:47.624828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
740
40.5%
김 87
 
4.8%
이 48
 
2.6%
성 35
 
1.9%
정 35
 
1.9%
박 32
 
1.8%
영 29
 
1.6%
수 27
 
1.5%
현 26
 
1.4%
숙 22
 
1.2%
Other values (143) 744
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1081
59.2%
Space Separator 740
40.5%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 87
 
8.0%
이 48
 
4.4%
성 35
 
3.2%
정 35
 
3.2%
박 32
 
3.0%
영 29
 
2.7%
수 27
 
2.5%
현 26
 
2.4%
숙 22
 
2.0%
최 21
 
1.9%
Other values (141) 719
66.5%
Space Separator
ValueCountFrequency (%)
740
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1081
59.2%
Common 744
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 87
 
8.0%
이 48
 
4.4%
성 35
 
3.2%
정 35
 
3.2%
박 32
 
3.0%
영 29
 
2.7%
수 27
 
2.5%
현 26
 
2.4%
숙 22
 
2.0%
최 21
 
1.9%
Other values (141) 719
66.5%
Common
ValueCountFrequency (%)
740
99.5%
1 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1081
59.2%
ASCII 744
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
740
99.5%
1 4
 
0.5%
Hangul
ValueCountFrequency (%)
김 87
 
8.0%
이 48
 
4.4%
성 35
 
3.2%
정 35
 
3.2%
박 32
 
3.0%
영 29
 
2.7%
수 27
 
2.5%
현 26
 
2.4%
숙 22
 
2.0%
최 21
 
1.9%
Other values (141) 719
66.5%

판매소 주소
Text

Distinct356
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T07:08:47.975640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length41
Mean length23.147632
Min length8

Characters and Unicode

Total characters8310
Distinct characters212
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)98.3%

Sample

1st row 거제천로 177 (거제동, 거제아파트)
2nd row 거제천로 187 (거제동)
3rd row 거제천로287번길 14 (거제동,동래화신타운)
4th row 교대로 6 (거제동)
5th row 교대로16번길 15 (거제동)
ValueCountFrequency (%)
연산동 88
 
7.1%
연제구 73
 
5.9%
부산광역시 54
 
4.4%
1층 37
 
3.0%
거제동 33
 
2.7%
고분로 20
 
1.6%
월드컵대로 19
 
1.5%
과정로 18
 
1.5%
중앙대로 15
 
1.2%
1층(연산동 14
 
1.1%
Other values (558) 869
70.1%
2023-12-13T07:08:48.487972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1937
23.3%
1 496
 
6.0%
동 363
 
4.4%
로 357
 
4.3%
연 347
 
4.2%
산 314
 
3.8%
( 307
 
3.7%
) 307
 
3.7%
2 252
 
3.0%
0 200
 
2.4%
Other values (202) 3430
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3873
46.6%
Space Separator 1937
23.3%
Decimal Number 1660
20.0%
Open Punctuation 307
 
3.7%
Close Punctuation 307
 
3.7%
Other Punctuation 184
 
2.2%
Uppercase Letter 21
 
0.3%
Dash Punctuation 10
 
0.1%
Math Symbol 7
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 363
 
9.4%
로 357
 
9.2%
연 347
 
9.0%
산 314
 
8.1%
제 190
 
4.9%
번 160
 
4.1%
길 160
 
4.1%
대 107
 
2.8%
거 105
 
2.7%
시 94
 
2.4%
Other values (171) 1676
43.3%
Decimal Number
ValueCountFrequency (%)
1 496
29.9%
2 252
15.2%
0 200
12.0%
3 175
 
10.5%
4 128
 
7.7%
5 114
 
6.9%
6 84
 
5.1%
7 76
 
4.6%
8 75
 
4.5%
9 60
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
38.1%
A 3
 
14.3%
C 2
 
9.5%
W 2
 
9.5%
D 2
 
9.5%
L 1
 
4.8%
K 1
 
4.8%
S 1
 
4.8%
G 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
p 1
25.0%
m 1
25.0%
a 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 182
98.9%
; 1
 
0.5%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1937
100.0%
Open Punctuation
ValueCountFrequency (%)
( 307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4412
53.1%
Hangul 3873
46.6%
Latin 25
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 363
 
9.4%
로 357
 
9.2%
연 347
 
9.0%
산 314
 
8.1%
제 190
 
4.9%
번 160
 
4.1%
길 160
 
4.1%
대 107
 
2.8%
거 105
 
2.7%
시 94
 
2.4%
Other values (171) 1676
43.3%
Common
ValueCountFrequency (%)
1937
43.9%
1 496
 
11.2%
( 307
 
7.0%
) 307
 
7.0%
2 252
 
5.7%
0 200
 
4.5%
, 182
 
4.1%
3 175
 
4.0%
4 128
 
2.9%
5 114
 
2.6%
Other values (8) 314
 
7.1%
Latin
ValueCountFrequency (%)
B 8
32.0%
A 3
 
12.0%
C 2
 
8.0%
W 2
 
8.0%
D 2
 
8.0%
p 1
 
4.0%
m 1
 
4.0%
L 1
 
4.0%
K 1
 
4.0%
S 1
 
4.0%
Other values (3) 3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4437
53.4%
Hangul 3873
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1937
43.7%
1 496
 
11.2%
( 307
 
6.9%
) 307
 
6.9%
2 252
 
5.7%
0 200
 
4.5%
, 182
 
4.1%
3 175
 
3.9%
4 128
 
2.9%
5 114
 
2.6%
Other values (21) 339
 
7.6%
Hangul
ValueCountFrequency (%)
동 363
 
9.4%
로 357
 
9.2%
연 347
 
9.0%
산 314
 
8.1%
제 190
 
4.9%
번 160
 
4.1%
길 160
 
4.1%
대 107
 
2.8%
거 105
 
2.7%
시 94
 
2.4%
Other values (171) 1676
43.3%

연락처
Text

Distinct199
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T07:08:48.777728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length9.8022284
Min length7

Characters and Unicode

Total characters3519
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)54.3%

Sample

1st row051-865-3729
2nd row051-852-5248
3rd row051-866-9878
4th row051-501-7996
5th row051-506-0652
ValueCountFrequency (%)
데이터 157
30.4%
미집계 157
30.4%
051-800-8036 3
 
0.6%
051-518-5122 2
 
0.4%
051-863-7786 2
 
0.4%
051-851-2660 1
 
0.2%
051-853-3780 1
 
0.2%
051-866-8556 1
 
0.2%
051-866-1010 1
 
0.2%
051-852-6149 1
 
0.2%
Other values (190) 190
36.8%
2023-12-13T07:08:49.199060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 447
12.7%
- 403
11.5%
1 354
 
10.1%
0 354
 
10.1%
8 222
 
6.3%
6 182
 
5.2%
이 157
 
4.5%
데 157
 
4.5%
계 157
 
4.5%
집 157
 
4.5%
Other values (8) 929
26.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2017
57.3%
Other Letter 942
26.8%
Dash Punctuation 403
 
11.5%
Space Separator 157
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 447
22.2%
1 354
17.6%
0 354
17.6%
8 222
11.0%
6 182
9.0%
7 112
 
5.6%
2 110
 
5.5%
3 82
 
4.1%
4 82
 
4.1%
9 72
 
3.6%
Other Letter
ValueCountFrequency (%)
이 157
16.7%
데 157
16.7%
계 157
16.7%
집 157
16.7%
미 157
16.7%
터 157
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 403
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2577
73.2%
Hangul 942
 
26.8%

Most frequent character per script

Common
ValueCountFrequency (%)
5 447
17.3%
- 403
15.6%
1 354
13.7%
0 354
13.7%
8 222
8.6%
6 182
7.1%
157
 
6.1%
7 112
 
4.3%
2 110
 
4.3%
3 82
 
3.2%
Other values (2) 154
 
6.0%
Hangul
ValueCountFrequency (%)
이 157
16.7%
데 157
16.7%
계 157
16.7%
집 157
16.7%
미 157
16.7%
터 157
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2577
73.2%
Hangul 942
 
26.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 447
17.3%
- 403
15.6%
1 354
13.7%
0 354
13.7%
8 222
8.6%
6 182
7.1%
157
 
6.1%
7 112
 
4.3%
2 110
 
4.3%
3 82
 
3.2%
Other values (2) 154
 
6.0%
Hangul
ValueCountFrequency (%)
이 157
16.7%
데 157
16.7%
계 157
16.7%
집 157
16.7%
미 157
16.7%
터 157
16.7%

Missing values

2023-12-13T07:08:46.149347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:08:46.220359image/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

판매소명대표자판매소 주소연락처
0거제슈퍼문창해거제천로 177 (거제동, 거제아파트)051-865-3729
1아라마트권혁범거제천로 187 (거제동)051-852-5248
2빅세일마트전영옥거제천로287번길 14 (거제동,동래화신타운)051-866-9878
3세븐일레븐교대점박영범교대로 6 (거제동)051-501-7996
4씨유교대샘터점유현자교대로16번길 15 (거제동)051-506-0652
5교대마트김영태 외 1명교대로22번길 4 (거제동)051-503-9393
6한성슈퍼임관옥교대로24번길 63, C101 (거제동, 한성맨션)051-502-6854
7제일문구사최준호교대로24번길 64 (거제동)051-503-1185
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