Overview

Dataset statistics

Number of variables5
Number of observations802
Missing cells436
Missing cells (%)10.9%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory31.5 KiB
Average record size in memory40.2 B

Variable types

Categorical2
Text3

Dataset

Description아산시 내 종량제 봉투 판매소 현황으로 판매소명, 소재지, 연락처 등의 정보를 제공합니다.
Author아산시시설관리공단
URLhttps://www.data.go.kr/data/15042992/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 2 (0.2%) duplicate rowsDuplicates
전화번호 has 436 (54.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:29:59.336331
Analysis finished2023-12-12 16:29:59.805624
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관할동
Categorical

Distinct17
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
배방읍
135 
온양3동
84 
둔포면
83 
음봉면
66 
온양1동
63 
Other values (12)
371 

Length

Max length4
Median length3
Mean length3.3815461
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row온양5동
2nd row배방읍
3rd row온양1동
4th row탕정면
5th row온양1동

Common Values

ValueCountFrequency (%)
배방읍 135
16.8%
온양3동 84
10.5%
둔포면 83
10.3%
음봉면 66
8.2%
온양1동 63
7.9%
탕정면 57
7.1%
신창면 55
6.9%
온양5동 50
 
6.2%
온양4동 41
 
5.1%
온양6동 37
 
4.6%
Other values (7) 131
16.3%

Length

2023-12-13T01:29:59.864023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
배방읍 135
16.8%
온양3동 84
10.5%
둔포면 83
10.3%
음봉면 66
8.2%
온양1동 63
7.9%
탕정면 57
7.1%
신창면 55
6.9%
온양5동 50
 
6.2%
온양4동 41
 
5.1%
온양6동 37
 
4.6%
Other values (7) 131
16.3%

거래처명
Text

Distinct798
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-13T01:30:00.148291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length9.063591
Min length2

Characters and Unicode

Total characters7269
Distinct characters420
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

Unique794 ?
Unique (%)99.0%

Sample

1st row365plus아산신용화 (구 엘크루할인마트)
2nd row365plus아산장재신선(구신선할인마트)
3rd row고려슈퍼
4th row굿모닝슈퍼
5th row굿타임아산점
ValueCountFrequency (%)
이마트24 60
 
5.3%
씨유 45
 
4.0%
세븐일레븐 40
 
3.5%
지에스25 29
 
2.6%
gs25 25
 
2.2%
행정복지센터 17
 
1.5%
미니스톱 17
 
1.5%
주식회사 11
 
1.0%
위드미 9
 
0.8%
지에스(gs)25 8
 
0.7%
Other values (823) 872
77.0%
2023-12-13T01:30:00.554531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 453
 
6.2%
아 392
 
5.4%
산 389
 
5.4%
331
 
4.6%
마 254
 
3.5%
트 248
 
3.4%
2 184
 
2.5%
븐 144
 
2.0%
스 131
 
1.8%
유 118
 
1.6%
Other values (410) 4625
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6079
83.6%
Decimal Number 400
 
5.5%
Space Separator 331
 
4.6%
Uppercase Letter 184
 
2.5%
Open Punctuation 111
 
1.5%
Close Punctuation 111
 
1.5%
Lowercase Letter 36
 
0.5%
Other Symbol 14
 
0.2%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 453
 
7.5%
아 392
 
6.4%
산 389
 
6.4%
마 254
 
4.2%
트 248
 
4.1%
븐 144
 
2.4%
스 131
 
2.2%
유 118
 
1.9%
이 117
 
1.9%
씨 101
 
1.7%
Other values (364) 3732
61.4%
Uppercase Letter
ValueCountFrequency (%)
G 78
42.4%
S 77
41.8%
D 8
 
4.3%
C 6
 
3.3%
A 3
 
1.6%
H 2
 
1.1%
T 2
 
1.1%
N 1
 
0.5%
L 1
 
0.5%
M 1
 
0.5%
Other values (5) 5
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
s 8
22.2%
g 6
16.7%
a 4
11.1%
p 3
 
8.3%
m 3
 
8.3%
y 2
 
5.6%
u 2
 
5.6%
l 2
 
5.6%
k 1
 
2.8%
t 1
 
2.8%
Other values (4) 4
11.1%
Decimal Number
ValueCountFrequency (%)
2 184
46.0%
5 113
28.2%
4 72
 
18.0%
1 9
 
2.2%
3 6
 
1.5%
0 5
 
1.2%
6 5
 
1.2%
9 3
 
0.8%
8 2
 
0.5%
7 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
331
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6093
83.8%
Common 956
 
13.2%
Latin 220
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 453
 
7.4%
아 392
 
6.4%
산 389
 
6.4%
마 254
 
4.2%
트 248
 
4.1%
븐 144
 
2.4%
스 131
 
2.2%
유 118
 
1.9%
이 117
 
1.9%
씨 101
 
1.7%
Other values (365) 3746
61.5%
Latin
ValueCountFrequency (%)
G 78
35.5%
S 77
35.0%
s 8
 
3.6%
D 8
 
3.6%
C 6
 
2.7%
g 6
 
2.7%
a 4
 
1.8%
A 3
 
1.4%
p 3
 
1.4%
m 3
 
1.4%
Other values (19) 24
 
10.9%
Common
ValueCountFrequency (%)
331
34.6%
2 184
19.2%
5 113
 
11.8%
( 111
 
11.6%
) 111
 
11.6%
4 72
 
7.5%
1 9
 
0.9%
3 6
 
0.6%
0 5
 
0.5%
6 5
 
0.5%
Other values (6) 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6079
83.6%
ASCII 1176
 
16.2%
None 14
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 453
 
7.5%
아 392
 
6.4%
산 389
 
6.4%
마 254
 
4.2%
트 248
 
4.1%
븐 144
 
2.4%
스 131
 
2.2%
유 118
 
1.9%
이 117
 
1.9%
씨 101
 
1.7%
Other values (364) 3732
61.4%
ASCII
ValueCountFrequency (%)
331
28.1%
2 184
15.6%
5 113
 
9.6%
( 111
 
9.4%
) 111
 
9.4%
G 78
 
6.6%
S 77
 
6.5%
4 72
 
6.1%
1 9
 
0.8%
s 8
 
0.7%
Other values (35) 82
 
7.0%
None
ValueCountFrequency (%)
㈜ 14
100.0%

전화번호
Text

MISSING 

Distinct359
Distinct (%)98.1%
Missing436
Missing (%)54.4%
Memory size6.4 KiB
2023-12-13T01:30:00.769027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.027322
Min length9

Characters and Unicode

Total characters4402
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique352 ?
Unique (%)96.2%

Sample

1st row041-545-0370
2nd row041-548-8200
3rd row041-543-9627
4th row041-534-4740
5th row041-544-3365
ValueCountFrequency (%)
041-548-5700 2
 
0.5%
041-545-2248 2
 
0.5%
041 2
 
0.5%
041-545-0370 2
 
0.5%
041-541-9877 2
 
0.5%
041-549-4940 2
 
0.5%
041-541-8954 2
 
0.5%
041-548-8424 2
 
0.5%
041-549-7589 1
 
0.3%
041-546-1512 1
 
0.3%
Other values (350) 350
95.1%
2023-12-13T01:30:01.126793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 809
18.4%
- 730
16.6%
5 567
12.9%
1 564
12.8%
0 558
12.7%
3 317
 
7.2%
2 191
 
4.3%
7 176
 
4.0%
6 163
 
3.7%
8 162
 
3.7%
Other values (4) 165
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3668
83.3%
Dash Punctuation 730
 
16.6%
Space Separator 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 809
22.1%
5 567
15.5%
1 564
15.4%
0 558
15.2%
3 317
 
8.6%
2 191
 
5.2%
7 176
 
4.8%
6 163
 
4.4%
8 162
 
4.4%
9 161
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 730
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 809
18.4%
- 730
16.6%
5 567
12.9%
1 564
12.8%
0 558
12.7%
3 317
 
7.2%
2 191
 
4.3%
7 176
 
4.0%
6 163
 
3.7%
8 162
 
3.7%
Other values (4) 165
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 809
18.4%
- 730
16.6%
5 567
12.9%
1 564
12.8%
0 558
12.7%
3 317
 
7.2%
2 191
 
4.3%
7 176
 
4.0%
6 163
 
3.7%
8 162
 
3.7%
Other values (4) 165
 
3.7%

주소
Text

Distinct742
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-13T01:30:01.365466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length15.027431
Min length8

Characters and Unicode

Total characters12052
Distinct characters159
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique692 ?
Unique (%)86.3%

Sample

1st row아산시 용화동 1395
2nd row아산시 배방읍 장재리 1937
3rd row아산시 온천동 16-30
4th row아산시 탕정면 명암리 320-7
5th row아산시 온천동 1320
ValueCountFrequency (%)
아산시 770
26.6%
배방읍 125
 
4.3%
온천동 92
 
3.2%
둔포면 82
 
2.8%
음봉면 66
 
2.3%
탕정면 58
 
2.0%
신창면 55
 
1.9%
모종동 53
 
1.8%
용화동 47
 
1.6%
장재리 38
 
1.3%
Other values (853) 1507
52.1%
2023-12-13T01:30:01.730757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2093
17.4%
산 826
 
6.9%
아 782
 
6.5%
시 779
 
6.5%
1 637
 
5.3%
- 504
 
4.2%
리 481
 
4.0%
2 403
 
3.3%
3 358
 
3.0%
동 350
 
2.9%
Other values (149) 4839
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6335
52.6%
Decimal Number 3110
25.8%
Space Separator 2093
 
17.4%
Dash Punctuation 504
 
4.2%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 826
 
13.0%
아 782
 
12.3%
시 779
 
12.3%
리 481
 
7.6%
동 350
 
5.5%
면 342
 
5.4%
읍 177
 
2.8%
방 151
 
2.4%
배 134
 
2.1%
포 112
 
1.8%
Other values (133) 2201
34.7%
Decimal Number
ValueCountFrequency (%)
1 637
20.5%
2 403
13.0%
3 358
11.5%
5 320
10.3%
4 317
10.2%
6 238
 
7.7%
7 229
 
7.4%
0 216
 
6.9%
8 197
 
6.3%
9 195
 
6.3%
Space Separator
ValueCountFrequency (%)
2093
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6335
52.6%
Common 5717
47.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 826
 
13.0%
아 782
 
12.3%
시 779
 
12.3%
리 481
 
7.6%
동 350
 
5.5%
면 342
 
5.4%
읍 177
 
2.8%
방 151
 
2.4%
배 134
 
2.1%
포 112
 
1.8%
Other values (133) 2201
34.7%
Common
ValueCountFrequency (%)
2093
36.6%
1 637
 
11.1%
- 504
 
8.8%
2 403
 
7.0%
3 358
 
6.3%
5 320
 
5.6%
4 317
 
5.5%
6 238
 
4.2%
7 229
 
4.0%
0 216
 
3.8%
Other values (6) 402
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6335
52.6%
ASCII 5717
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2093
36.6%
1 637
 
11.1%
- 504
 
8.8%
2 403
 
7.0%
3 358
 
6.3%
5 320
 
5.6%
4 317
 
5.5%
6 238
 
4.2%
7 229
 
4.0%
0 216
 
3.8%
Other values (6) 402
 
7.0%
Hangul
ValueCountFrequency (%)
산 826
 
13.0%
아 782
 
12.3%
시 779
 
12.3%
리 481
 
7.6%
동 350
 
5.5%
면 342
 
5.4%
읍 177
 
2.8%
방 151
 
2.4%
배 134
 
2.1%
포 112
 
1.8%
Other values (133) 2201
34.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2020-03-03
802 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-03
2nd row2020-03-03
3rd row2020-03-03
4th row2020-03-03
5th row2020-03-03

Common Values

ValueCountFrequency (%)
2020-03-03 802
100.0%

Length

2023-12-13T01:30:01.865788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:30:01.968513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-03 802
100.0%

Missing values

2023-12-13T01:29:59.679632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:29:59.768870image/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

관할동거래처명전화번호주소데이터기준일자
0온양5동365plus아산신용화 (구 엘크루할인마트)041-545-0370아산시 용화동 13952020-03-03
1배방읍365plus아산장재신선(구신선할인마트)041-548-8200아산시 배방읍 장재리 19372020-03-03
2온양1동고려슈퍼041-543-9627아산시 온천동 16-302020-03-03
3탕정면굿모닝슈퍼<NA>아산시 탕정면 명암리 320-72020-03-03
4온양1동굿타임아산점041-534-4740아산시 온천동 13202020-03-03
5배방읍(주)이마트에브리데이 아산장재점<NA>아산시 배방읍 장재리 15222020-03-03
6신창면365마트041-544-3365아산시 신창면 남성리 8322020-03-03
7인주면공단할인마트(인주)041-544-7007아산시 인주면 걸매리 10522020-03-03
8온양2동굴다리식품슈퍼041-533-9537아산시 온천동 199-632020-03-03
9온양4동남산현대슈퍼<NA>아산시 방축동 134-222020-03-03
관할동거래처명전화번호주소데이터기준일자
792온양3동온양3동 행정복지센터041-537-3731아산시 모종동 563-52020-03-03
793탕정면세븐일레븐 아산에스어반점<NA>아산시 탕정면 동산리 568-22020-03-03
794탕정면이마트24 탕정사랑점<NA>아산시 탕정면 호산리 418-52020-03-03
795도고면도고만남의 광장(휴게소)<NA>아산시 도고면 신언리 68-32020-03-03
796온양1동(주)코리아세븐 충남아산점<NA>아산시 온천동 13522020-03-03
797온양1동이마트24 아산관광호텔점<NA>아산시 온천동 242-202020-03-03
798선장면이마트24 아산선장두꺼비점<NA>아산시 선장면 선창리 354-12020-03-03
799도고면주식회사 더위트041-541-7733아산시 도고면 기곡리 305-42020-03-03
800둔포면미니스톱 둔포타운점<NA>아산시 둔포면 둔포리 97-432020-03-03
801온양4동우남상가(이마트24 배미파크점)<NA>아산시 배미동 82-12020-03-03

Duplicate rows

Most frequently occurring

관할동거래처명전화번호주소데이터기준일자# duplicates
0온양1동이마트24 아산관광호텔점<NA>아산시 온천동 242-202020-03-032
1온양1동이마트24 아산온천파크빌<NA>아산시 온천동 13202020-03-032