Overview

Dataset statistics

Number of variables4
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory33.9 B

Variable types

Categorical1
Text3

Dataset

Description과천시 소재 종량제봉투 판매소의 지역(동 단위), 상호명(판매소), 소재지(주소), 전화번호(대표번호) 정보를 제공합니다.
Author경기도 과천시
URLhttps://www.data.go.kr/data/15003218/fileData.do

Alerts

상호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:06:52.068684
Analysis finished2023-12-12 17:06:52.510662
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct6
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
과천동
17 
별양동
17 
갈현동
12 
문원동
9 
부림동
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
과천동 17
24.6%
별양동 17
24.6%
갈현동 12
17.4%
문원동 9
13.0%
부림동 9
13.0%
중앙동 5
 
7.2%

Length

2023-12-13T02:06:52.598314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:06:52.746005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과천동 17
24.6%
별양동 17
24.6%
갈현동 12
17.4%
문원동 9
13.0%
부림동 9
13.0%
중앙동 5
 
7.2%

상호
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T02:06:53.079972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.5362319
Min length3

Characters and Unicode

Total characters589
Distinct characters131
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row모닝글로리
2nd rowGS25(과천삼성점)
3rd rowGS25(레미안점)
4th rowGS슈퍼(3단지)
5th row세븐일레븐(원문점)
ValueCountFrequency (%)
구판장 2
 
2.8%
세븐일레븐(중앙공원 1
 
1.4%
gs25(과천프리미엄점 1
 
1.4%
gs25(과천센트럴점 1
 
1.4%
용마트 1
 
1.4%
gs25(뉴과천별양점 1
 
1.4%
cu(중앙공원 1
 
1.4%
새곡마을 1
 
1.4%
자연드림 1
 
1.4%
cu과천별양점 1
 
1.4%
Other values (60) 60
84.5%
2023-12-13T02:06:53.938544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 44
 
7.5%
) 44
 
7.5%
점 42
 
7.1%
과 31
 
5.3%
천 30
 
5.1%
C 18
 
3.1%
마 17
 
2.9%
U 17
 
2.9%
S 15
 
2.5%
2 15
 
2.5%
Other values (121) 316
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
67.7%
Uppercase Letter 68
 
11.5%
Open Punctuation 44
 
7.5%
Close Punctuation 44
 
7.5%
Decimal Number 32
 
5.4%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 42
 
10.5%
과 31
 
7.8%
천 30
 
7.5%
마 17
 
4.3%
트 14
 
3.5%
븐 14
 
3.5%
원 14
 
3.5%
레 10
 
2.5%
이 10
 
2.5%
문 10
 
2.5%
Other values (107) 207
51.9%
Uppercase Letter
ValueCountFrequency (%)
C 18
26.5%
U 17
25.0%
S 15
22.1%
G 15
22.1%
R 2
 
2.9%
D 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 15
46.9%
5 12
37.5%
4 3
 
9.4%
8 1
 
3.1%
3 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
67.7%
Common 122
 
20.7%
Latin 68
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 42
 
10.5%
과 31
 
7.8%
천 30
 
7.5%
마 17
 
4.3%
트 14
 
3.5%
븐 14
 
3.5%
원 14
 
3.5%
레 10
 
2.5%
이 10
 
2.5%
문 10
 
2.5%
Other values (107) 207
51.9%
Common
ValueCountFrequency (%)
( 44
36.1%
) 44
36.1%
2 15
 
12.3%
5 12
 
9.8%
4 3
 
2.5%
2
 
1.6%
8 1
 
0.8%
3 1
 
0.8%
Latin
ValueCountFrequency (%)
C 18
26.5%
U 17
25.0%
S 15
22.1%
G 15
22.1%
R 2
 
2.9%
D 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
67.7%
ASCII 190
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 44
23.2%
) 44
23.2%
C 18
9.5%
U 17
 
8.9%
S 15
 
7.9%
2 15
 
7.9%
G 15
 
7.9%
5 12
 
6.3%
4 3
 
1.6%
R 2
 
1.1%
Other values (4) 5
 
2.6%
Hangul
ValueCountFrequency (%)
점 42
 
10.5%
과 31
 
7.8%
천 30
 
7.5%
마 17
 
4.3%
트 14
 
3.5%
븐 14
 
3.5%
원 14
 
3.5%
레 10
 
2.5%
이 10
 
2.5%
문 10
 
2.5%
Other values (107) 207
51.9%

소재지
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T02:06:54.275393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length19.797101
Min length12

Characters and Unicode

Total characters1366
Distinct characters85
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row경기도 과천시 별양로 28 B동1095
2nd row경기도 과천시 별양로 46
3rd row경기도 과천시 별양로 28 B동1086
4th row경기도 과천시 별양로 28 지하1층 B23
5th row경기도 과천시 별양로 28 1019,1020호
ValueCountFrequency (%)
경기도 70
21.8%
과천시 69
21.5%
별양로 13
 
4.0%
별양상가1로 6
 
1.9%
28 6
 
1.9%
중앙로 6
 
1.9%
1층 5
 
1.6%
부림로 4
 
1.2%
추사로 3
 
0.9%
양지마을1로 3
 
0.9%
Other values (118) 136
42.4%
2023-12-13T02:06:54.826215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
18.7%
1 84
 
6.1%
천 74
 
5.4%
과 74
 
5.4%
기 71
 
5.2%
경 70
 
5.1%
도 70
 
5.1%
시 69
 
5.1%
로 55
 
4.0%
2 37
 
2.7%
Other values (75) 507
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
58.6%
Decimal Number 263
 
19.3%
Space Separator 255
 
18.7%
Other Punctuation 13
 
1.0%
Open Punctuation 10
 
0.7%
Close Punctuation 10
 
0.7%
Dash Punctuation 9
 
0.7%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 74
 
9.2%
과 74
 
9.2%
기 71
 
8.9%
경 70
 
8.7%
도 70
 
8.7%
시 69
 
8.6%
로 55
 
6.9%
양 31
 
3.9%
별 28
 
3.5%
가 19
 
2.4%
Other values (58) 240
30.0%
Decimal Number
ValueCountFrequency (%)
1 84
31.9%
2 37
14.1%
0 30
 
11.4%
4 25
 
9.5%
3 23
 
8.7%
6 15
 
5.7%
9 14
 
5.3%
5 14
 
5.3%
8 14
 
5.3%
7 7
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
S 1
 
20.0%
Space Separator
ValueCountFrequency (%)
255
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
58.6%
Common 560
41.0%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 74
 
9.2%
과 74
 
9.2%
기 71
 
8.9%
경 70
 
8.7%
도 70
 
8.7%
시 69
 
8.6%
로 55
 
6.9%
양 31
 
3.9%
별 28
 
3.5%
가 19
 
2.4%
Other values (58) 240
30.0%
Common
ValueCountFrequency (%)
255
45.5%
1 84
 
15.0%
2 37
 
6.6%
0 30
 
5.4%
4 25
 
4.5%
3 23
 
4.1%
6 15
 
2.7%
9 14
 
2.5%
5 14
 
2.5%
8 14
 
2.5%
Other values (5) 49
 
8.8%
Latin
ValueCountFrequency (%)
B 4
80.0%
S 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
58.6%
ASCII 565
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
45.1%
1 84
 
14.9%
2 37
 
6.5%
0 30
 
5.3%
4 25
 
4.4%
3 23
 
4.1%
6 15
 
2.7%
9 14
 
2.5%
5 14
 
2.5%
8 14
 
2.5%
Other values (7) 54
 
9.6%
Hangul
ValueCountFrequency (%)
천 74
 
9.2%
과 74
 
9.2%
기 71
 
8.9%
경 70
 
8.7%
도 70
 
8.7%
시 69
 
8.6%
로 55
 
6.9%
양 31
 
3.9%
별 28
 
3.5%
가 19
 
2.4%
Other values (58) 240
30.0%

전화번호
Text

Distinct53
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
2023-12-13T02:06:55.147146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.695652
Min length11

Characters and Unicode

Total characters807
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

Unique52 ?
Unique (%)75.4%

Sample

1st row02-502-3727
2nd row02-502-8768
3rd row02-504-2031
4th row02-6933-7200
5th row02-502-2318
ValueCountFrequency (%)
000-0000-0000 17
 
24.6%
02-502-3727 1
 
1.4%
02-500-3327 1
 
1.4%
02-502-5222 1
 
1.4%
02-503-2823 1
 
1.4%
02-3679-0711 1
 
1.4%
000-0000-0001 1
 
1.4%
02-502-2131 1
 
1.4%
02-504-6022 1
 
1.4%
02-504-6371 1
 
1.4%
Other values (43) 43
62.3%
2023-12-13T02:06:55.603776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 306
37.9%
- 138
17.1%
2 95
 
11.8%
5 56
 
6.9%
3 37
 
4.6%
4 35
 
4.3%
7 31
 
3.8%
1 31
 
3.8%
8 27
 
3.3%
6 26
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 669
82.9%
Dash Punctuation 138
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 306
45.7%
2 95
 
14.2%
5 56
 
8.4%
3 37
 
5.5%
4 35
 
5.2%
7 31
 
4.6%
1 31
 
4.6%
8 27
 
4.0%
6 26
 
3.9%
9 25
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 807
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 306
37.9%
- 138
17.1%
2 95
 
11.8%
5 56
 
6.9%
3 37
 
4.6%
4 35
 
4.3%
7 31
 
3.8%
1 31
 
3.8%
8 27
 
3.3%
6 26
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 306
37.9%
- 138
17.1%
2 95
 
11.8%
5 56
 
6.9%
3 37
 
4.6%
4 35
 
4.3%
7 31
 
3.8%
1 31
 
3.8%
8 27
 
3.3%
6 26
 
3.2%

Correlations

2023-12-13T02:06:55.737897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역상호소재지전화번호
지역1.0001.0001.0000.862
상호1.0001.0001.0001.000
소재지1.0001.0001.0001.000
전화번호0.8621.0001.0001.000

Missing values

2023-12-13T02:06:52.379204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:06:52.468612image/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

지역상호소재지전화번호
0갈현동모닝글로리경기도 과천시 별양로 28 B동109502-502-3727
1갈현동GS25(과천삼성점)경기도 과천시 별양로 4602-502-8768
2갈현동GS25(레미안점)경기도 과천시 별양로 28 B동108602-504-2031
3갈현동GS슈퍼(3단지)경기도 과천시 별양로 28 지하1층 B2302-6933-7200
4갈현동세븐일레븐(원문점)경기도 과천시 별양로 28 1019,1020호02-502-2318
5갈현동과천식자재마트경기도 과천시 별양로 28 지하1층 B2002-504-3378
6갈현동인더라인경기도 과천시 가일로 40(갈현동)000-0000-0000
7갈현동CU(과천해오름점)경기도 과천시 중앙로 59 제상가 12-1동000-0000-0000
8갈현동CU(과천갈현점)경기도 과천시 갈현동13-9 상가동 1층 101호000-0000-0000
9갈현동초록마을(갈현점)경기도 과천시 별양로28 상가 1047호(원문동)000-0000-0000
지역상호소재지전화번호
59부림동CU(과천주공8단지점)경기도 과천시 별양로 184-1 1층070-7759-3330
60부림동관문스포츠매점경기도 과천시 중앙로 29402-503-3826
61부림동세븐일레븐(관문체육공원점)경기도 과천시 부림4길 3402-502-4192
62부림동GS슈퍼(부림점)경기도 과천시 부림로 180 (부림동)02-502-5460
63부림동세븐일레븐(과천푸르지오써밋점)경기도 과천시 별양로 164 상가 106-1호,107-1호000-0000-0000
64중앙동DC마트경기도 과천시 중앙로 13502-3418-8989
65중앙동국민마트경기도 과천시 관문로 13002-3679-4939
66중앙동CU(레미안점)경기도 과천시 관문로 16102-3679-1104
67중앙동CU(중앙점)경기도 과천시 중앙로 13102-503-5679
68중앙동GS25중앙점경기도 과천시 중앙로 137 105호02-3679-1688