Overview

Dataset statistics

Number of variables6
Number of observations230
Missing cells112
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory49.6 B

Variable types

Numeric1
Text5

Dataset

Description함안군 담배소매인 지정현황에 대한 데이터로 함안군 담배소매인의 사업장 상호, 지번주소, 도로명주소, 연락처, 지정일자 등의 항목을 제공합니다.
Author경상남도 함안군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15032473

Alerts

업소전화번호 has 112 (48.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:31:05.816483
Analysis finished2023-12-10 23:31:06.433130
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.5
Minimum1
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T08:31:06.495664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.45
Q158.25
median115.5
Q3172.75
95-th percentile218.55
Maximum230
Range229
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation66.539462
Coefficient of variation (CV)0.57609924
Kurtosis-1.2
Mean115.5
Median Absolute Deviation (MAD)57.5
Skewness0
Sum26565
Variance4427.5
MonotonicityStrictly increasing
2023-12-11T08:31:06.630813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
146 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (220) 220
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%

업소명
Text

Distinct208
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:31:06.860635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.9869565
Min length1

Characters and Unicode

Total characters1607
Distinct characters266
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

Unique203 ?
Unique (%)88.3%

Sample

1st row청춘별을쏘다
2nd row큰손짜장
3rd row세븐일레븐 함안일등점
4th row형제통신
5th row이마트24 함안부봉점
ValueCountFrequency (%)
세븐일레븐 17
 
5.9%
씨유 12
 
4.2%
gs25 12
 
4.2%
이마트24 8
 
2.8%
함안 3
 
1.0%
홀세일마트 2
 
0.7%
뉴함안군북점 2
 
0.7%
칠서공단점 2
 
0.7%
지에스(gs)25 2
 
0.7%
함안가야점 2
 
0.7%
Other values (219) 227
78.5%
2023-12-11T08:31:07.214445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
6.1%
점 81
 
5.0%
함 70
 
4.4%
안 65
 
4.0%
마 44
 
2.7%
트 40
 
2.5%
븐 39
 
2.4%
칠 31
 
1.9%
일 29
 
1.8%
2 26
 
1.6%
Other values (256) 1084
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1345
83.7%
Space Separator 98
 
6.1%
Uppercase Letter 62
 
3.9%
Decimal Number 56
 
3.5%
Close Punctuation 18
 
1.1%
Open Punctuation 18
 
1.1%
Lowercase Letter 5
 
0.3%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 81
 
6.0%
함 70
 
5.2%
안 65
 
4.8%
마 44
 
3.3%
트 40
 
3.0%
븐 39
 
2.9%
칠 31
 
2.3%
일 29
 
2.2%
세 24
 
1.8%
원 22
 
1.6%
Other values (227) 900
66.9%
Uppercase Letter
ValueCountFrequency (%)
S 17
27.4%
G 16
25.8%
C 11
17.7%
U 4
 
6.5%
I 4
 
6.5%
E 2
 
3.2%
D 2
 
3.2%
W 1
 
1.6%
B 1
 
1.6%
Y 1
 
1.6%
Other values (3) 3
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 26
46.4%
5 18
32.1%
4 8
 
14.3%
3 2
 
3.6%
9 2
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
m 1
20.0%
a 1
20.0%
r 1
20.0%
t 1
20.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1345
83.7%
Common 195
 
12.1%
Latin 67
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 81
 
6.0%
함 70
 
5.2%
안 65
 
4.8%
마 44
 
3.3%
트 40
 
3.0%
븐 39
 
2.9%
칠 31
 
2.3%
일 29
 
2.2%
세 24
 
1.8%
원 22
 
1.6%
Other values (227) 900
66.9%
Latin
ValueCountFrequency (%)
S 17
25.4%
G 16
23.9%
C 11
16.4%
U 4
 
6.0%
I 4
 
6.0%
E 2
 
3.0%
D 2
 
3.0%
W 1
 
1.5%
B 1
 
1.5%
Y 1
 
1.5%
Other values (8) 8
11.9%
Common
ValueCountFrequency (%)
98
50.3%
2 26
 
13.3%
) 18
 
9.2%
5 18
 
9.2%
( 18
 
9.2%
4 8
 
4.1%
- 2
 
1.0%
. 2
 
1.0%
3 2
 
1.0%
9 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1345
83.7%
ASCII 262
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
37.4%
2 26
 
9.9%
) 18
 
6.9%
5 18
 
6.9%
( 18
 
6.9%
S 17
 
6.5%
G 16
 
6.1%
C 11
 
4.2%
4 8
 
3.1%
U 4
 
1.5%
Other values (19) 28
 
10.7%
Hangul
ValueCountFrequency (%)
점 81
 
6.0%
함 70
 
5.2%
안 65
 
4.8%
마 44
 
3.3%
트 40
 
3.0%
븐 39
 
2.9%
칠 31
 
2.3%
일 29
 
2.2%
세 24
 
1.8%
원 22
 
1.6%
Other values (227) 900
66.9%

업소지번주소
Text

Distinct196
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:31:07.443497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length23.034783
Min length1

Characters and Unicode

Total characters5298
Distinct characters207
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

Unique194 ?
Unique (%)84.3%

Sample

1st row경상남도 함안군 여항면 외암리 751-2
2nd row경상남도 함안군 칠서면 청계리 561-3
3rd row경상남도 함안군 함안면 북촌리 913-3
4th row경상남도 함안군 칠원읍 오곡리 113 광려천부영벽산블루밍2차상가1
5th row경상남도 함안군 산인면 부봉리 545 1층
ValueCountFrequency (%)
경상남도 196
 
17.0%
함안군 196
 
17.0%
가야읍 41
 
3.6%
군북면 29
 
2.5%
칠서면 25
 
2.2%
칠원면 22
 
1.9%
칠원읍 20
 
1.7%
말산리 18
 
1.6%
1호 17
 
1.5%
2호 16
 
1.4%
Other values (349) 574
49.7%
2023-12-11T08:31:07.748732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1150
21.7%
군 225
 
4.2%
도 215
 
4.1%
함 210
 
4.0%
안 210
 
4.0%
상 207
 
3.9%
리 199
 
3.8%
남 197
 
3.7%
경 197
 
3.7%
1 172
 
3.2%
Other values (197) 2316
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3224
60.9%
Space Separator 1150
 
21.7%
Decimal Number 837
 
15.8%
Dash Punctuation 63
 
1.2%
Uppercase Letter 15
 
0.3%
Other Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 225
 
7.0%
도 215
 
6.7%
함 210
 
6.5%
안 210
 
6.5%
상 207
 
6.4%
리 199
 
6.2%
남 197
 
6.1%
경 197
 
6.1%
호 146
 
4.5%
면 135
 
4.2%
Other values (171) 1283
39.8%
Decimal Number
ValueCountFrequency (%)
1 172
20.5%
2 116
13.9%
3 97
11.6%
4 79
9.4%
0 73
8.7%
5 72
8.6%
7 63
 
7.5%
6 57
 
6.8%
9 56
 
6.7%
8 52
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
13.3%
Y 2
13.3%
T 2
13.3%
A 2
13.3%
H 2
13.3%
L 1
6.7%
P 1
6.7%
W 1
6.7%
E 1
6.7%
U 1
6.7%
Space Separator
ValueCountFrequency (%)
1150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3224
60.9%
Common 2059
38.9%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 225
 
7.0%
도 215
 
6.7%
함 210
 
6.5%
안 210
 
6.5%
상 207
 
6.4%
리 199
 
6.2%
남 197
 
6.1%
경 197
 
6.1%
호 146
 
4.5%
면 135
 
4.2%
Other values (171) 1283
39.8%
Common
ValueCountFrequency (%)
1150
55.9%
1 172
 
8.4%
2 116
 
5.6%
3 97
 
4.7%
4 79
 
3.8%
0 73
 
3.5%
5 72
 
3.5%
- 63
 
3.1%
7 63
 
3.1%
6 57
 
2.8%
Other values (6) 117
 
5.7%
Latin
ValueCountFrequency (%)
B 2
13.3%
Y 2
13.3%
T 2
13.3%
A 2
13.3%
H 2
13.3%
L 1
6.7%
P 1
6.7%
W 1
6.7%
E 1
6.7%
U 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3224
60.9%
ASCII 2074
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1150
55.4%
1 172
 
8.3%
2 116
 
5.6%
3 97
 
4.7%
4 79
 
3.8%
0 73
 
3.5%
5 72
 
3.5%
- 63
 
3.0%
7 63
 
3.0%
6 57
 
2.7%
Other values (16) 132
 
6.4%
Hangul
ValueCountFrequency (%)
군 225
 
7.0%
도 215
 
6.7%
함 210
 
6.5%
안 210
 
6.5%
상 207
 
6.4%
리 199
 
6.2%
남 197
 
6.1%
경 197
 
6.1%
호 146
 
4.5%
면 135
 
4.2%
Other values (171) 1283
39.8%

업소도로명주소
Text

Distinct174
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:31:08.014347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length18.252174
Min length1

Characters and Unicode

Total characters4198
Distinct characters185
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

Unique172 ?
Unique (%)74.8%

Sample

1st row경상남도 함안군 여항면 여항로 79
2nd row경상남도 함안군 칠서면 삼칠로 555
3rd row경상남도 함안군 함안면 북촌3길 101
4th row경상남도 함안군 칠원읍 오곡로 87. 광려천부영벽산블루밍2차상가1 214동 105호
5th row경상남도 함안군 산인면 송산로 331. 1층
ValueCountFrequency (%)
경상남도 174
18.2%
함안군 174
18.2%
가야읍 41
 
4.3%
군북면 29
 
3.0%
칠원읍 25
 
2.6%
칠서면 21
 
2.2%
함마대로 21
 
2.2%
1층 16
 
1.7%
삼칠로 14
 
1.5%
법수면 13
 
1.4%
Other values (298) 426
44.7%
2023-12-11T08:31:08.419137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
837
19.9%
함 227
 
5.4%
안 205
 
4.9%
군 204
 
4.9%
상 185
 
4.4%
남 182
 
4.3%
경 178
 
4.2%
도 176
 
4.2%
1 152
 
3.6%
로 122
 
2.9%
Other values (175) 1730
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2634
62.7%
Space Separator 837
 
19.9%
Decimal Number 601
 
14.3%
Other Punctuation 53
 
1.3%
Dash Punctuation 33
 
0.8%
Open Punctuation 19
 
0.5%
Close Punctuation 19
 
0.5%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 227
 
8.6%
안 205
 
7.8%
군 204
 
7.7%
상 185
 
7.0%
남 182
 
6.9%
경 178
 
6.8%
도 176
 
6.7%
로 122
 
4.6%
면 108
 
4.1%
칠 81
 
3.1%
Other values (158) 966
36.7%
Decimal Number
ValueCountFrequency (%)
1 152
25.3%
2 88
14.6%
3 59
 
9.8%
5 56
 
9.3%
0 49
 
8.2%
4 47
 
7.8%
6 43
 
7.2%
8 40
 
6.7%
7 36
 
6.0%
9 31
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
837
100.0%
Other Punctuation
ValueCountFrequency (%)
. 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2634
62.7%
Common 1562
37.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 227
 
8.6%
안 205
 
7.8%
군 204
 
7.7%
상 185
 
7.0%
남 182
 
6.9%
경 178
 
6.8%
도 176
 
6.7%
로 122
 
4.6%
면 108
 
4.1%
칠 81
 
3.1%
Other values (158) 966
36.7%
Common
ValueCountFrequency (%)
837
53.6%
1 152
 
9.7%
2 88
 
5.6%
3 59
 
3.8%
5 56
 
3.6%
. 53
 
3.4%
0 49
 
3.1%
4 47
 
3.0%
6 43
 
2.8%
8 40
 
2.6%
Other values (5) 138
 
8.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2634
62.7%
ASCII 1564
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
837
53.5%
1 152
 
9.7%
2 88
 
5.6%
3 59
 
3.8%
5 56
 
3.6%
. 53
 
3.4%
0 49
 
3.1%
4 47
 
3.0%
6 43
 
2.7%
8 40
 
2.6%
Other values (7) 140
 
9.0%
Hangul
ValueCountFrequency (%)
함 227
 
8.6%
안 205
 
7.8%
군 204
 
7.7%
상 185
 
7.0%
남 182
 
6.9%
경 178
 
6.8%
도 176
 
6.7%
로 122
 
4.6%
면 108
 
4.1%
칠 81
 
3.1%
Other values (158) 966
36.7%

업소전화번호
Text

MISSING 

Distinct113
Distinct (%)95.8%
Missing112
Missing (%)48.7%
Memory size1.9 KiB
2023-12-11T08:31:08.904213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.805085
Min length1

Characters and Unicode

Total characters1393
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)92.4%

Sample

1st row055-582-0074
2nd row055-584-0837
3rd row055-584-1117
4th row055-584-0399
5th row055-587-4604
ValueCountFrequency (%)
051-644-4675 3
 
2.6%
055-291-1155 2
 
1.7%
055-587-9656 2
 
1.7%
055-583-3376 1
 
0.9%
055-263-5110 1
 
0.9%
055-587-0561 1
 
0.9%
055-587-4381 1
 
0.9%
055-587-3144 1
 
0.9%
055-587-5225 1
 
0.9%
055-587-0753 1
 
0.9%
Other values (102) 102
87.9%
2023-12-11T08:31:09.293806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 405
29.1%
- 232
16.7%
0 168
12.1%
8 150
 
10.8%
3 83
 
6.0%
7 79
 
5.7%
2 75
 
5.4%
4 60
 
4.3%
1 58
 
4.2%
6 46
 
3.3%
Other values (2) 37
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1159
83.2%
Dash Punctuation 232
 
16.7%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 405
34.9%
0 168
14.5%
8 150
 
12.9%
3 83
 
7.2%
7 79
 
6.8%
2 75
 
6.5%
4 60
 
5.2%
1 58
 
5.0%
6 46
 
4.0%
9 35
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1393
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 405
29.1%
- 232
16.7%
0 168
12.1%
8 150
 
10.8%
3 83
 
6.0%
7 79
 
5.7%
2 75
 
5.4%
4 60
 
4.3%
1 58
 
4.2%
6 46
 
3.3%
Other values (2) 37
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 405
29.1%
- 232
16.7%
0 168
12.1%
8 150
 
10.8%
3 83
 
6.0%
7 79
 
5.7%
2 75
 
5.4%
4 60
 
4.3%
1 58
 
4.2%
6 46
 
3.3%
Other values (2) 37
 
2.7%

지정일자
Text

Distinct207
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:31:09.560878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2300
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)83.9%

Sample

1st row2022-08-09
2nd row2022-07-14
3rd row2022-06-28
4th row2022-05-26
5th row2022-03-28
ValueCountFrequency (%)
1989-04-25 9
 
3.9%
2021-01-11 3
 
1.3%
2018-04-12 3
 
1.3%
2017-03-30 2
 
0.9%
2020-12-21 2
 
0.9%
2017-06-22 2
 
0.9%
2010-01-28 2
 
0.9%
2018-06-26 2
 
0.9%
1989-04-24 2
 
0.9%
1998-11-10 2
 
0.9%
Other values (197) 201
87.4%
2023-12-11T08:31:09.964815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 517
22.5%
- 460
20.0%
2 398
17.3%
1 385
16.7%
9 143
 
6.2%
8 99
 
4.3%
4 68
 
3.0%
3 64
 
2.8%
7 56
 
2.4%
6 55
 
2.4%
Other values (2) 55
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1838
79.9%
Dash Punctuation 460
 
20.0%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 517
28.1%
2 398
21.7%
1 385
20.9%
9 143
 
7.8%
8 99
 
5.4%
4 68
 
3.7%
3 64
 
3.5%
7 56
 
3.0%
6 55
 
3.0%
5 53
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 460
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 517
22.5%
- 460
20.0%
2 398
17.3%
1 385
16.7%
9 143
 
6.2%
8 99
 
4.3%
4 68
 
3.0%
3 64
 
2.8%
7 56
 
2.4%
6 55
 
2.4%
Other values (2) 55
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 517
22.5%
- 460
20.0%
2 398
17.3%
1 385
16.7%
9 143
 
6.2%
8 99
 
4.3%
4 68
 
3.0%
3 64
 
2.8%
7 56
 
2.4%
6 55
 
2.4%
Other values (2) 55
 
2.4%

Interactions

2023-12-11T08:31:06.193890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T08:31:06.284004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:31:06.399216image/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

번호업소명업소지번주소업소도로명주소업소전화번호지정일자
01청춘별을쏘다경상남도 함안군 여항면 외암리 751-2경상남도 함안군 여항면 여항로 79<NA>2022-08-09
12큰손짜장경상남도 함안군 칠서면 청계리 561-3경상남도 함안군 칠서면 삼칠로 555<NA>2022-07-14
23세븐일레븐 함안일등점경상남도 함안군 함안면 북촌리 913-3경상남도 함안군 함안면 북촌3길 101<NA>2022-06-28
34형제통신경상남도 함안군 칠원읍 오곡리 113 광려천부영벽산블루밍2차상가1경상남도 함안군 칠원읍 오곡로 87. 광려천부영벽산블루밍2차상가1 214동 105호<NA>2022-05-26
45이마트24 함안부봉점경상남도 함안군 산인면 부봉리 545 1층경상남도 함안군 산인면 송산로 331. 1층<NA>2022-03-28
56세븐일레븐 함안칠원오곡점경상남도 함안군 칠원읍 예곡리 704경상남도 함안군 칠원읍 오곡로 70<NA>2022-03-08
67세븐일레븐 함안칠원세중점경상남도 함안군 칠원읍 구성리 209 세중주유소경상남도 함안군 칠원읍 삼칠로 7. 세중주유소<NA>2022-03-08
78(주)우리식자재 도매센타경상남도 함안군 가야읍 도항리 81-2 (주)우리식자재 도매센타경상남도 함안군 가야읍 함안대로 601 (주)우리식자재 도매센타<NA>2022-03-02
89이마트24 함안구성점경상남도 함안군 칠원읍 구성리 723-2 삼칠활어횟집경상남도 함안군 칠원읍 삼칠로 113. 삼칠활어횟집<NA>2022-01-27
910GS25 함안유현점경상남도 함안군 군북면 유현리 1171경상남도 함안군 군북면 국우로 135<NA>2021-12-23
번호업소명업소지번주소업소도로명주소업소전화번호지정일자
220221경상남도 함안군 가야읍 산서리 684-520호055-583-50922000-05-31
221222함주상회경상남도 함안군 가야읍 말산리 237호경상남도 함안군 가야읍 중앙본길 25-10055-583-02241999-10-29
222223오뚜기슈퍼경상남도 함안군 가야읍 검암리 953-2호055-582-01932005-07-06
223224건어물경상남도 함안군 가야읍 말산리 470-4호055-583-29371998-10-20
224225경상남도 함안군 가야읍 묘사리 713-3호055-584-05531998-18-08
225226운동장슈퍼경상남도 함안군 가야읍 도항리 249-28호055-583-11241998-09-19
226227가야농협하나로마트경상남도 함안군 가야읍 말산리 414번지 7호 가야농협하나로마트경상남도 함안군 가야읍 함안대로 539. 가야농협하나로마트055-584-89001998-09-19
227228함안축협하나로마트경상남도 함안군 가야읍 말산리 170번지경상남도 함안군 가야읍 함안대로 524055-584-21801996-11-08
228229우주상회경상남도 함안군 가야읍 말산리 238-5호055-583-33761995-03-09
229230대우상회경상남도 함안군 가야읍 말산리 호 408-4055-583-28701994-11-08