Overview

Dataset statistics

Number of variables4
Number of observations946
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.6%
Total size in memory29.7 KiB
Average record size in memory32.1 B

Variable types

Text2
Categorical1
DateTime1

Dataset

Description인천광역시 부평구의 종량제물품(종량제봉투, 용기, PP마대 등) 판매소 현황 (위치, 상호명)의 정보를 제공합니다.
Author인천광역시부평구시설관리공단
URLhttps://www.data.go.kr/data/15003014/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 6 (0.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 13:01:45.357196
Analysis finished2023-12-12 13:01:45.923605
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매소명
Text

Distinct893
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-12T22:01:46.171880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.8509514
Min length2

Characters and Unicode

Total characters8373
Distinct characters405
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

Unique850 ?
Unique (%)89.9%

Sample

1st row행복DC마트
2nd row세븐일레븐 인천부평북초교점
3rd row사랑마트
4th row인더라인25시
5th row동진라사
ValueCountFrequency (%)
씨유 111
 
7.8%
세븐일레븐 81
 
5.7%
이마트24 62
 
4.3%
지에스25 48
 
3.4%
지에스(gs)25 36
 
2.5%
주)코리아세븐 27
 
1.9%
gs25 14
 
1.0%
주식회사 11
 
0.8%
마트 7
 
0.5%
부평점 6
 
0.4%
Other values (912) 1029
71.9%
2023-12-12T22:01:46.706936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
490
 
5.9%
점 472
 
5.6%
부 404
 
4.8%
평 314
 
3.8%
마 288
 
3.4%
트 262
 
3.1%
븐 229
 
2.7%
2 226
 
2.7%
스 170
 
2.0%
지 161
 
1.9%
Other values (395) 5357
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6855
81.9%
Decimal Number 495
 
5.9%
Space Separator 490
 
5.9%
Uppercase Letter 256
 
3.1%
Close Punctuation 127
 
1.5%
Open Punctuation 127
 
1.5%
Lowercase Letter 14
 
0.2%
Other Punctuation 7
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 472
 
6.9%
부 404
 
5.9%
평 314
 
4.6%
마 288
 
4.2%
트 262
 
3.8%
븐 229
 
3.3%
스 170
 
2.5%
지 161
 
2.3%
유 159
 
2.3%
씨 157
 
2.3%
Other values (351) 4239
61.8%
Uppercase Letter
ValueCountFrequency (%)
S 88
34.4%
G 80
31.2%
C 20
 
7.8%
D 16
 
6.2%
R 11
 
4.3%
K 6
 
2.3%
E 6
 
2.3%
U 6
 
2.3%
H 4
 
1.6%
T 3
 
1.2%
Other values (10) 16
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 226
45.7%
5 147
29.7%
4 73
 
14.7%
1 24
 
4.8%
3 7
 
1.4%
0 5
 
1.0%
7 5
 
1.0%
6 4
 
0.8%
9 3
 
0.6%
8 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
k 3
21.4%
t 2
14.3%
r 2
14.3%
a 2
14.3%
o 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
@ 1
 
14.3%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
490
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6856
81.9%
Common 1247
 
14.9%
Latin 270
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 472
 
6.9%
부 404
 
5.9%
평 314
 
4.6%
마 288
 
4.2%
트 262
 
3.8%
븐 229
 
3.3%
스 170
 
2.5%
지 161
 
2.3%
유 159
 
2.3%
씨 157
 
2.3%
Other values (352) 4240
61.8%
Latin
ValueCountFrequency (%)
S 88
32.6%
G 80
29.6%
C 20
 
7.4%
D 16
 
5.9%
R 11
 
4.1%
K 6
 
2.2%
E 6
 
2.2%
U 6
 
2.2%
e 4
 
1.5%
H 4
 
1.5%
Other values (16) 29
 
10.7%
Common
ValueCountFrequency (%)
490
39.3%
2 226
18.1%
5 147
 
11.8%
) 127
 
10.2%
( 127
 
10.2%
4 73
 
5.9%
1 24
 
1.9%
3 7
 
0.6%
. 5
 
0.4%
0 5
 
0.4%
Other values (7) 16
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6855
81.9%
ASCII 1517
 
18.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
490
32.3%
2 226
14.9%
5 147
 
9.7%
) 127
 
8.4%
( 127
 
8.4%
S 88
 
5.8%
G 80
 
5.3%
4 73
 
4.8%
1 24
 
1.6%
C 20
 
1.3%
Other values (33) 115
 
7.6%
Hangul
ValueCountFrequency (%)
점 472
 
6.9%
부 404
 
5.9%
평 314
 
4.6%
마 288
 
4.2%
트 262
 
3.8%
븐 229
 
3.3%
스 170
 
2.5%
지 161
 
2.3%
유 159
 
2.3%
씨 157
 
2.3%
Other values (351) 4239
61.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지주소
Text

Distinct938
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-12T22:01:47.067143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length18.158562
Min length4

Characters and Unicode

Total characters17178
Distinct characters268
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique930 ?
Unique (%)98.3%

Sample

1st row주부토로262번길 18(갈산동, 1층)
2nd row주부토로 298, 1층(갈산동)
3rd row갈산1동 60-2 /c
4th row갈산1동 169-25 대훈탑스빌 /c
5th row갈산1동 62-2
ValueCountFrequency (%)
1층 219
 
7.0%
c 162
 
5.2%
101호 39
 
1.2%
상가동 36
 
1.2%
1층(부평동 34
 
1.1%
부평대로 26
 
0.8%
주부토로 26
 
0.8%
부평4동 26
 
0.8%
십정2동 25
 
0.8%
부평5동 22
 
0.7%
Other values (1354) 2512
80.3%
2023-12-12T22:01:47.620531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2196
 
12.8%
1 1711
 
10.0%
동 819
 
4.8%
, 766
 
4.5%
로 691
 
4.0%
2 691
 
4.0%
0 634
 
3.7%
부 539
 
3.1%
3 493
 
2.9%
4 472
 
2.7%
Other values (258) 8166
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7186
41.8%
Decimal Number 5507
32.1%
Space Separator 2196
 
12.8%
Other Punctuation 936
 
5.4%
Open Punctuation 406
 
2.4%
Close Punctuation 404
 
2.4%
Dash Punctuation 315
 
1.8%
Lowercase Letter 167
 
1.0%
Uppercase Letter 48
 
0.3%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 819
 
11.4%
로 691
 
9.6%
부 539
 
7.5%
층 392
 
5.5%
호 372
 
5.2%
평 347
 
4.8%
번 341
 
4.7%
길 324
 
4.5%
산 208
 
2.9%
정 118
 
1.6%
Other values (221) 3035
42.2%
Uppercase Letter
ValueCountFrequency (%)
B 22
45.8%
A 10
20.8%
H 4
 
8.3%
E 2
 
4.2%
I 2
 
4.2%
C 2
 
4.2%
Z 1
 
2.1%
L 1
 
2.1%
D 1
 
2.1%
G 1
 
2.1%
Other values (2) 2
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 1711
31.1%
2 691
12.5%
0 634
 
11.5%
3 493
 
9.0%
4 472
 
8.6%
5 360
 
6.5%
6 346
 
6.3%
7 307
 
5.6%
8 257
 
4.7%
9 236
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
c 163
97.6%
b 1
 
0.6%
y 1
 
0.6%
t 1
 
0.6%
i 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 766
81.8%
/ 167
 
17.8%
@ 2
 
0.2%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 406
100.0%
Close Punctuation
ValueCountFrequency (%)
) 404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 315
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9777
56.9%
Hangul 7186
41.8%
Latin 215
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 819
 
11.4%
로 691
 
9.6%
부 539
 
7.5%
층 392
 
5.5%
호 372
 
5.2%
평 347
 
4.8%
번 341
 
4.7%
길 324
 
4.5%
산 208
 
2.9%
정 118
 
1.6%
Other values (221) 3035
42.2%
Common
ValueCountFrequency (%)
2196
22.5%
1 1711
17.5%
, 766
 
7.8%
2 691
 
7.1%
0 634
 
6.5%
3 493
 
5.0%
4 472
 
4.8%
( 406
 
4.2%
) 404
 
4.1%
5 360
 
3.7%
Other values (10) 1644
16.8%
Latin
ValueCountFrequency (%)
c 163
75.8%
B 22
 
10.2%
A 10
 
4.7%
H 4
 
1.9%
E 2
 
0.9%
I 2
 
0.9%
C 2
 
0.9%
Z 1
 
0.5%
L 1
 
0.5%
D 1
 
0.5%
Other values (7) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9992
58.2%
Hangul 7186
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2196
22.0%
1 1711
17.1%
, 766
 
7.7%
2 691
 
6.9%
0 634
 
6.3%
3 493
 
4.9%
4 472
 
4.7%
( 406
 
4.1%
) 404
 
4.0%
5 360
 
3.6%
Other values (27) 1859
18.6%
Hangul
ValueCountFrequency (%)
동 819
 
11.4%
로 691
 
9.6%
부 539
 
7.5%
층 392
 
5.5%
호 372
 
5.2%
평 347
 
4.8%
번 341
 
4.7%
길 324
 
4.5%
산 208
 
2.9%
정 118
 
1.6%
Other values (221) 3035
42.2%

행정구역
Categorical

Distinct23
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
부평4동
105 
부평5동
93 
청천2동
78 
부평1동
69 
십정2동
67 
Other values (18)
534 

Length

Max length4
Median length4
Mean length3.9693446
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row갈산1동
2nd row갈산1동
3rd row갈산1동
4th row갈산1동
5th row갈산1동

Common Values

ValueCountFrequency (%)
부평4동 105
 
11.1%
부평5동 93
 
9.8%
청천2동 78
 
8.2%
부평1동 69
 
7.3%
십정2동 67
 
7.1%
삼산1동 47
 
5.0%
갈산1동 43
 
4.5%
십정1동 40
 
4.2%
부평6동 36
 
3.8%
부평2동 34
 
3.6%
Other values (13) 334
35.3%

Length

2023-12-12T22:01:47.808682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부평4동 105
 
11.1%
부평5동 93
 
9.8%
청천2동 78
 
8.2%
부평1동 69
 
7.3%
십정2동 67
 
7.1%
삼산1동 47
 
5.0%
갈산1동 43
 
4.5%
십정1동 40
 
4.2%
부평6동 36
 
3.8%
부평2동 34
 
3.6%
Other values (13) 334
35.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2023-10-31 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T22:01:47.954642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:01:48.071702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T22:01:45.761135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:01:45.878700image/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

판매소명소재지주소행정구역데이터기준일자
0행복DC마트주부토로262번길 18(갈산동, 1층)갈산1동2023-10-31
1세븐일레븐 인천부평북초교점주부토로 298, 1층(갈산동)갈산1동2023-10-31
2사랑마트갈산1동 60-2 /c갈산1동2023-10-31
3인더라인25시갈산1동 169-25 대훈탑스빌 /c갈산1동2023-10-31
4동진라사갈산1동 62-2갈산1동2023-10-31
5갈산하이퍼갈산1동117-4갈산1동2023-10-31
6씨스페이스 갈산점평천로287번길 1(갈산동, 외 1필지) /c갈산1동2023-10-31
7조은슈퍼갈산1동 183 대림빌라 101갈산1동2023-10-31
8대성종합슈퍼갈산1동 54-7갈산1동2023-10-31
9씨티라이프갈산1동 108-11갈산1동2023-10-31
판매소명소재지주소행정구역데이터기준일자
936인성미니슈퍼세월천로 46, 1호(청천동)청천2동2023-10-31
937씨유 청천우리점마장로426-33청천2동2023-10-31
938하이웨이디씨클럽 청천점세월천로 9(청천동)청천2동2023-10-31
939싸군마켓청천점마장로 378-1(청천동)청천2동2023-10-31
940지에스부평충전소안남로 399(청천동)청천2동2023-10-31
941씨유 청천수출단지점안남로434번길 23, 1층 H동(청천동)청천2동2023-10-31
942이마트24 청천드림점마장로 412, 1동 102호(청천동, 드림아이젠)청천2동2023-10-31
943복지슈퍼마장로426번길 7, 1층 일부호(청천동)청천2동2023-10-31
944이마트24 부평테크시티점부평대로 293, 107-1호(청천동, 부평테크시티)청천2동2023-10-31
945세종구내매점안남로418번길 27, 별동 1층 103호(청천동)청천2동2023-10-31

Duplicate rows

Most frequently occurring

판매소명소재지주소행정구역데이터기준일자# duplicates
0세븐일레븐 부평장제점부흥북로 81, 1층 코너부분부평5동2023-10-312
1씨유 부평경인센터점백범로577번길 15-5, 1층십정1동2023-10-312
2씨유 청천수출단지점안남로434번길 23, 1층 H동(청천동)청천2동2023-10-312
3이마트24 부평래미안점부흥북로15번길 18, 101호부평4동2023-10-312
4이마트24 부평테크시티점부평대로 293, 107-1호(청천동, 부평테크시티)청천2동2023-10-312
5지에스부평충전소안남로 399(청천동)청천2동2023-10-312