Overview

Dataset statistics

Number of variables6
Number of observations1384
Missing cells137
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.4 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description충청남도 아산시 내 담배소매인 업소현황으로 항목으로 연번, 소매구분, 업소명, 업소지번 및 도로명 주소, 지정일자 등이 표현됩니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=431&beforeMenuCd=DOM_000000201001001000&publicdatapk=3078528

Alerts

소매인구분 is highly imbalanced (73.6%)Imbalance
업소명 has 137 (9.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:48:34.431618
Analysis finished2024-01-09 19:48:35.386963
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1384
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean692.91329
Minimum1
Maximum1390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-01-10T04:48:35.436519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile70.15
Q1346.75
median692.5
Q31038.25
95-th percentile1317.85
Maximum1390
Range1389
Interquartile range (IQR)691.5

Descriptive statistics

Standard deviation400.31866
Coefficient of variation (CV)0.57773269
Kurtosis-1.1954785
Mean692.91329
Median Absolute Deviation (MAD)346
Skewness0.0045541286
Sum958992
Variance160255.03
MonotonicityStrictly increasing
2024-01-10T04:48:35.539576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
921 1
 
0.1%
929 1
 
0.1%
928 1
 
0.1%
927 1
 
0.1%
926 1
 
0.1%
925 1
 
0.1%
924 1
 
0.1%
923 1
 
0.1%
922 1
 
0.1%
Other values (1374) 1374
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1390 1
0.1%
1389 1
0.1%
1388 1
0.1%
1387 1
0.1%
1386 1
0.1%
1385 1
0.1%
1384 1
0.1%
1383 1
0.1%
1382 1
0.1%
1380 1
0.1%

소매인구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
일반소매인
1286 
구내소매인
 
80
자동판매기
 
18

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 1286
92.9%
구내소매인 80
 
5.8%
자동판매기 18
 
1.3%

Length

2024-01-10T04:48:35.642237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:48:35.719234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 1286
92.9%
구내소매인 80
 
5.8%
자동판매기 18
 
1.3%

업소명
Text

MISSING 

Distinct1222
Distinct (%)98.0%
Missing137
Missing (%)9.9%
Memory size10.9 KiB
2024-01-10T04:48:35.925592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length8.8428228
Min length1

Characters and Unicode

Total characters11027
Distinct characters494
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1205 ?
Unique (%)96.6%

Sample

1st row씨유 아산아람채점
2nd row씨유(CU)배방제일점
3rd row소나무휴게소
4th row세븐일레븐 아산용화중점
5th row근대화 온천복권
ValueCountFrequency (%)
씨유 96
 
5.0%
세븐일레븐 92
 
4.8%
이마트24 81
 
4.2%
지에스25 34
 
1.8%
gs25 31
 
1.6%
주식회사 24
 
1.2%
지에스(gs)25 23
 
1.2%
미니스톱 15
 
0.8%
주)코리아세븐 15
 
0.8%
지에스25(gs25 14
 
0.7%
Other values (1304) 1498
77.9%
2024-01-10T04:48:36.270432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
680
 
6.2%
점 631
 
5.7%
아 523
 
4.7%
산 517
 
4.7%
마 294
 
2.7%
트 289
 
2.6%
2 260
 
2.4%
븐 217
 
2.0%
스 215
 
1.9%
이 198
 
1.8%
Other values (484) 7203
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9110
82.6%
Space Separator 680
 
6.2%
Decimal Number 536
 
4.9%
Uppercase Letter 313
 
2.8%
Close Punctuation 178
 
1.6%
Open Punctuation 177
 
1.6%
Lowercase Letter 19
 
0.2%
Other Punctuation 11
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 631
 
6.9%
아 523
 
5.7%
산 517
 
5.7%
마 294
 
3.2%
트 289
 
3.2%
븐 217
 
2.4%
스 215
 
2.4%
이 198
 
2.2%
유 175
 
1.9%
지 155
 
1.7%
Other values (433) 5896
64.7%
Uppercase Letter
ValueCountFrequency (%)
S 105
33.5%
G 103
32.9%
C 14
 
4.5%
R 12
 
3.8%
T 11
 
3.5%
U 10
 
3.2%
A 8
 
2.6%
L 8
 
2.6%
E 6
 
1.9%
K 6
 
1.9%
Other values (12) 30
 
9.6%
Lowercase Letter
ValueCountFrequency (%)
l 4
21.1%
o 3
15.8%
a 2
10.5%
s 2
10.5%
u 1
 
5.3%
e 1
 
5.3%
v 1
 
5.3%
p 1
 
5.3%
i 1
 
5.3%
r 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
2 260
48.5%
5 156
29.1%
4 100
 
18.7%
1 6
 
1.1%
0 4
 
0.7%
8 3
 
0.6%
3 3
 
0.6%
9 2
 
0.4%
7 1
 
0.2%
6 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 9
81.8%
& 1
 
9.1%
! 1
 
9.1%
Space Separator
ValueCountFrequency (%)
680
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9110
82.6%
Common 1585
 
14.4%
Latin 332
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 631
 
6.9%
아 523
 
5.7%
산 517
 
5.7%
마 294
 
3.2%
트 289
 
3.2%
븐 217
 
2.4%
스 215
 
2.4%
이 198
 
2.2%
유 175
 
1.9%
지 155
 
1.7%
Other values (433) 5896
64.7%
Latin
ValueCountFrequency (%)
S 105
31.6%
G 103
31.0%
C 14
 
4.2%
R 12
 
3.6%
T 11
 
3.3%
U 10
 
3.0%
A 8
 
2.4%
L 8
 
2.4%
E 6
 
1.8%
K 6
 
1.8%
Other values (24) 49
14.8%
Common
ValueCountFrequency (%)
680
42.9%
2 260
 
16.4%
) 178
 
11.2%
( 177
 
11.2%
5 156
 
9.8%
4 100
 
6.3%
. 9
 
0.6%
1 6
 
0.4%
0 4
 
0.3%
8 3
 
0.2%
Other values (7) 12
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9110
82.6%
ASCII 1917
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
680
35.5%
2 260
 
13.6%
) 178
 
9.3%
( 177
 
9.2%
5 156
 
8.1%
S 105
 
5.5%
G 103
 
5.4%
4 100
 
5.2%
C 14
 
0.7%
R 12
 
0.6%
Other values (41) 132
 
6.9%
Hangul
ValueCountFrequency (%)
점 631
 
6.9%
아 523
 
5.7%
산 517
 
5.7%
마 294
 
3.2%
트 289
 
3.2%
븐 217
 
2.4%
스 215
 
2.4%
이 198
 
2.2%
유 175
 
1.9%
지 155
 
1.7%
Other values (433) 5896
64.7%

업소지번주소
Text

Distinct1185
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-01-10T04:48:36.533005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length43
Mean length21.540462
Min length1

Characters and Unicode

Total characters29812
Distinct characters359
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

Unique1161 ?
Unique (%)83.9%

Sample

1st row충청남도 아산시 방축동 775 아산KD아람채
2nd row충청남도 아산시 배방읍 공수리 62-3
3rd row충청남도 아산시 음봉면 덕지리 45-32
4th row충청남도 아산시 온천동 3111
5th row충청남도 아산시 온천동 970
ValueCountFrequency (%)
충청남도 1216
 
18.5%
아산시 1216
 
18.5%
온천동 186
 
2.8%
배방읍 186
 
2.8%
둔포면 134
 
2.0%
탕정면 108
 
1.6%
호 97
 
1.5%
음봉면 96
 
1.5%
신창면 77
 
1.2%
1호 62
 
0.9%
Other values (1517) 3187
48.5%
2024-01-10T04:48:36.917454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6214
20.8%
산 1389
 
4.7%
아 1368
 
4.6%
도 1267
 
4.2%
남 1253
 
4.2%
시 1245
 
4.2%
청 1222
 
4.1%
충 1217
 
4.1%
1 1027
 
3.4%
리 838
 
2.8%
Other values (349) 12772
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18327
61.5%
Space Separator 6214
 
20.8%
Decimal Number 4826
 
16.2%
Dash Punctuation 352
 
1.2%
Uppercase Letter 52
 
0.2%
Close Punctuation 14
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Other Punctuation 9
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1389
 
7.6%
아 1368
 
7.5%
도 1267
 
6.9%
남 1253
 
6.8%
시 1245
 
6.8%
청 1222
 
6.7%
충 1217
 
6.6%
리 838
 
4.6%
호 696
 
3.8%
지 678
 
3.7%
Other values (311) 7154
39.0%
Uppercase Letter
ValueCountFrequency (%)
P 6
11.5%
C 6
11.5%
B 5
9.6%
S 5
9.6%
T 5
9.6%
A 4
7.7%
D 4
7.7%
G 3
 
5.8%
L 3
 
5.8%
K 2
 
3.8%
Other values (7) 9
17.3%
Decimal Number
ValueCountFrequency (%)
1 1027
21.3%
2 647
13.4%
3 521
10.8%
4 503
10.4%
5 477
9.9%
6 388
 
8.0%
0 358
 
7.4%
7 334
 
6.9%
8 290
 
6.0%
9 281
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
@ 3
33.3%
/ 2
22.2%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
y 1
33.3%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
6214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 352
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18327
61.5%
Common 11430
38.3%
Latin 55
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1389
 
7.6%
아 1368
 
7.5%
도 1267
 
6.9%
남 1253
 
6.8%
시 1245
 
6.8%
청 1222
 
6.7%
충 1217
 
6.6%
리 838
 
4.6%
호 696
 
3.8%
지 678
 
3.7%
Other values (311) 7154
39.0%
Latin
ValueCountFrequency (%)
P 6
10.9%
C 6
10.9%
B 5
9.1%
S 5
9.1%
T 5
9.1%
A 4
 
7.3%
D 4
 
7.3%
G 3
 
5.5%
L 3
 
5.5%
K 2
 
3.6%
Other values (10) 12
21.8%
Common
ValueCountFrequency (%)
6214
54.4%
1 1027
 
9.0%
2 647
 
5.7%
3 521
 
4.6%
4 503
 
4.4%
5 477
 
4.2%
6 388
 
3.4%
0 358
 
3.1%
- 352
 
3.1%
7 334
 
2.9%
Other values (8) 609
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18327
61.5%
ASCII 11485
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6214
54.1%
1 1027
 
8.9%
2 647
 
5.6%
3 521
 
4.5%
4 503
 
4.4%
5 477
 
4.2%
6 388
 
3.4%
0 358
 
3.1%
- 352
 
3.1%
7 334
 
2.9%
Other values (28) 664
 
5.8%
Hangul
ValueCountFrequency (%)
산 1389
 
7.6%
아 1368
 
7.5%
도 1267
 
6.9%
남 1253
 
6.8%
시 1245
 
6.8%
청 1222
 
6.7%
충 1217
 
6.6%
리 838
 
4.6%
호 696
 
3.8%
지 678
 
3.7%
Other values (311) 7154
39.0%

업소도로명주소
Text

Distinct1080
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-01-10T04:48:37.142337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length60
Mean length22.59104
Min length1

Characters and Unicode

Total characters31266
Distinct characters346
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

Unique1070 ?
Unique (%)77.3%

Sample

1st row충청남도 아산시 온천대로 1323-25. 122동 102호. 103호 (방축동. 아산KD아람채)
2nd row충청남도 아산시 배방읍 모산로 182
3rd row충청남도 아산시 음봉면 음봉로 653
4th row충청남도 아산시 용화로47번길 7-1. 1층 (온천동)
5th row충청남도 아산시 아산로 150 (온천동)
ValueCountFrequency (%)
아산시 1092
 
16.8%
충청남도 1090
 
16.8%
1층 227
 
3.5%
배방읍 168
 
2.6%
온천동 125
 
1.9%
둔포면 107
 
1.6%
탕정면 105
 
1.6%
음봉면 97
 
1.5%
신창면 80
 
1.2%
101호 73
 
1.1%
Other values (1429) 3341
51.4%
2024-01-10T04:48:37.490682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5710
 
18.3%
1 1645
 
5.3%
아 1325
 
4.2%
산 1307
 
4.2%
시 1170
 
3.7%
도 1149
 
3.7%
남 1138
 
3.6%
충 1131
 
3.6%
청 1114
 
3.6%
로 959
 
3.1%
Other values (336) 14618
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18075
57.8%
Space Separator 5710
 
18.3%
Decimal Number 5445
 
17.4%
Other Punctuation 650
 
2.1%
Close Punctuation 513
 
1.6%
Open Punctuation 513
 
1.6%
Dash Punctuation 286
 
0.9%
Uppercase Letter 56
 
0.2%
Math Symbol 14
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1325
 
7.3%
산 1307
 
7.2%
시 1170
 
6.5%
도 1149
 
6.4%
남 1138
 
6.3%
충 1131
 
6.3%
청 1114
 
6.2%
로 959
 
5.3%
면 573
 
3.2%
동 570
 
3.2%
Other values (295) 7639
42.3%
Uppercase Letter
ValueCountFrequency (%)
B 16
28.6%
S 6
 
10.7%
A 5
 
8.9%
C 4
 
7.1%
L 3
 
5.4%
G 3
 
5.4%
K 2
 
3.6%
D 2
 
3.6%
H 2
 
3.6%
T 2
 
3.6%
Other values (10) 11
19.6%
Decimal Number
ValueCountFrequency (%)
1 1645
30.2%
2 713
13.1%
0 602
 
11.1%
3 478
 
8.8%
4 395
 
7.3%
6 366
 
6.7%
5 360
 
6.6%
7 344
 
6.3%
8 287
 
5.3%
9 255
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
e 1
25.0%
h 1
25.0%
b 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 649
99.8%
@ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5710
100.0%
Close Punctuation
ValueCountFrequency (%)
) 513
100.0%
Open Punctuation
ValueCountFrequency (%)
( 513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18075
57.8%
Common 13131
42.0%
Latin 60
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1325
 
7.3%
산 1307
 
7.2%
시 1170
 
6.5%
도 1149
 
6.4%
남 1138
 
6.3%
충 1131
 
6.3%
청 1114
 
6.2%
로 959
 
5.3%
면 573
 
3.2%
동 570
 
3.2%
Other values (295) 7639
42.3%
Latin
ValueCountFrequency (%)
B 16
26.7%
S 6
 
10.0%
A 5
 
8.3%
C 4
 
6.7%
L 3
 
5.0%
G 3
 
5.0%
K 2
 
3.3%
D 2
 
3.3%
H 2
 
3.3%
T 2
 
3.3%
Other values (14) 15
25.0%
Common
ValueCountFrequency (%)
5710
43.5%
1 1645
 
12.5%
2 713
 
5.4%
. 649
 
4.9%
0 602
 
4.6%
) 513
 
3.9%
( 513
 
3.9%
3 478
 
3.6%
4 395
 
3.0%
6 366
 
2.8%
Other values (7) 1547
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18075
57.8%
ASCII 13191
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5710
43.3%
1 1645
 
12.5%
2 713
 
5.4%
. 649
 
4.9%
0 602
 
4.6%
) 513
 
3.9%
( 513
 
3.9%
3 478
 
3.6%
4 395
 
3.0%
6 366
 
2.8%
Other values (31) 1607
 
12.2%
Hangul
ValueCountFrequency (%)
아 1325
 
7.3%
산 1307
 
7.2%
시 1170
 
6.5%
도 1149
 
6.4%
남 1138
 
6.3%
충 1131
 
6.3%
청 1114
 
6.2%
로 959
 
5.3%
면 573
 
3.2%
동 570
 
3.2%
Other values (295) 7639
42.3%

지정일자
Text

Distinct1115
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-01-10T04:48:37.741560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters13840
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

Unique905 ?
Unique (%)65.4%

Sample

1st row2023-04-20
2nd row2023-04-11
3rd row2023-04-07
4th row2023-04-06
5th row2023-04-05
ValueCountFrequency (%)
1975-07-01 7
 
0.5%
2018-02-26 7
 
0.5%
1980-06-30 5
 
0.4%
2017-10-27 5
 
0.4%
2022-11-16 4
 
0.3%
2015-01-14 4
 
0.3%
2022-04-07 4
 
0.3%
2022-02-08 4
 
0.3%
2022-01-13 4
 
0.3%
2017-02-20 4
 
0.3%
Other values (1105) 1336
96.5%
2024-01-10T04:48:38.096490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3218
23.3%
- 2768
20.0%
2 2594
18.7%
1 2176
15.7%
9 728
 
5.3%
8 457
 
3.3%
3 430
 
3.1%
7 414
 
3.0%
6 398
 
2.9%
4 330
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11072
80.0%
Dash Punctuation 2768
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3218
29.1%
2 2594
23.4%
1 2176
19.7%
9 728
 
6.6%
8 457
 
4.1%
3 430
 
3.9%
7 414
 
3.7%
6 398
 
3.6%
4 330
 
3.0%
5 327
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 2768
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3218
23.3%
- 2768
20.0%
2 2594
18.7%
1 2176
15.7%
9 728
 
5.3%
8 457
 
3.3%
3 430
 
3.1%
7 414
 
3.0%
6 398
 
2.9%
4 330
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3218
23.3%
- 2768
20.0%
2 2594
18.7%
1 2176
15.7%
9 728
 
5.3%
8 457
 
3.3%
3 430
 
3.1%
7 414
 
3.0%
6 398
 
2.9%
4 330
 
2.4%

Interactions

2024-01-10T04:48:35.180941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:48:38.180546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분
연번1.0000.430
소매인구분0.4301.000
2024-01-10T04:48:38.245600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소매인구분
연번1.0000.286
소매인구분0.2861.000

Missing values

2024-01-10T04:48:35.273882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:48:35.353542image/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

연번소매인구분업소명업소지번주소업소도로명주소지정일자
01일반소매인씨유 아산아람채점충청남도 아산시 방축동 775 아산KD아람채충청남도 아산시 온천대로 1323-25. 122동 102호. 103호 (방축동. 아산KD아람채)2023-04-20
12일반소매인씨유(CU)배방제일점충청남도 아산시 배방읍 공수리 62-3충청남도 아산시 배방읍 모산로 1822023-04-11
23일반소매인소나무휴게소충청남도 아산시 음봉면 덕지리 45-32충청남도 아산시 음봉면 음봉로 6532023-04-07
34일반소매인세븐일레븐 아산용화중점충청남도 아산시 온천동 3111충청남도 아산시 용화로47번길 7-1. 1층 (온천동)2023-04-06
45일반소매인근대화 온천복권충청남도 아산시 온천동 970충청남도 아산시 아산로 150 (온천동)2023-04-05
56일반소매인씨유아산신창로드점충청남도 아산시 신창면 읍내리 142-1충청남도 아산시 신창면 서부남로 810. 1층2023-03-29
67일반소매인지에스25 아산주공점충청남도 아산시 용화동 356-1 주공2차아파트충청남도 아산시 시민로 277-1. 주공2차아파트 상가동 3.4호 (용화동)2023-03-29
78일반소매인세븐일레븐 아산더샵점충청남도 아산시 권곡동 359-3충청남도 아산시 권곡로 50. 상가1호 (권곡동)2023-03-28
89일반소매인이마트24 아산음봉공단점충청남도 아산시 음봉면 산동리 707-16충청남도 아산시 음봉면 월산로 201. 1층2023-03-26
910일반소매인씨유 아산오토몰점충청남도 아산시 배방읍 휴대리 644충청남도 아산시 배방읍 동방1로 11. 1층 108호2023-03-26
연번소매인구분업소명업소지번주소업소도로명주소지정일자
13741380일반소매인<NA>충청남도 아산시 인주면 공세리 139호충청남도 아산시 인주면 공세길10번길 26-121980-06-30
13751382일반소매인<NA>충청남도 아산시 선장면 가산리 35호1979-05-17
13761383일반소매인<NA>충청남도 아산시 염치읍 송곡리 181호1979-06-30
13771384일반소매인<NA>충청남도 아산시 온천동 206번지 6 호1975-07-01
13781385일반소매인<NA>충청남도 아산시 온천동 385호1975-07-01
13791386일반소매인<NA>충청남도 아산시 온천동 84번지 18 호1975-07-01
13801387일반소매인<NA>충청남도 아산시 온천동 호1975-07-01
13811388일반소매인<NA>충청남도 아산시 도고면 농은리 231번지 3 호충청남도 아산시 도고면 도고산로 871975-07-01
13821389일반소매인<NA>충청남도 아산시 도고면 신언리 339호1975-07-01
13831390일반소매인<NA>충청남도 아산시 영인면 아산리 316호1975-07-01