Overview

Dataset statistics

Number of variables6
Number of observations209
Missing cells107
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 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 107 (51.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:31:11.232364
Analysis finished2023-12-10 23:31:11.928936
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct209
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105
Minimum1
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T08:31:12.010185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.4
Q153
median105
Q3157
95-th percentile198.6
Maximum209
Range208
Interquartile range (IQR)104

Descriptive statistics

Standard deviation60.477268
Coefficient of variation (CV)0.57597399
Kurtosis-1.2
Mean105
Median Absolute Deviation (MAD)52
Skewness0
Sum21945
Variance3657.5
MonotonicityStrictly increasing
2023-12-11T08:31:12.148593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
158 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
Other values (199) 199
95.2%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%

업소명
Text

Distinct191
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T08:31:12.390981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length7.1818182
Min length1

Characters and Unicode

Total characters1501
Distinct characters254
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

Unique186 ?
Unique (%)89.0%

Sample

1st row씨유 함안칠원점
2nd row철이상회
3rd row씨유 함안칠서기공점
4th row칠서IC편의점
5th row이마트24 함안칠원용산점
ValueCountFrequency (%)
세븐일레븐 17
 
6.3%
씨유 13
 
4.8%
gs25 9
 
3.3%
이마트24 8
 
3.0%
지에스(gs)25 3
 
1.1%
함안 3
 
1.1%
홀세일마트 2
 
0.7%
뉴함안군북점 2
 
0.7%
39사단 2
 
0.7%
e함안휴게소 2
 
0.7%
Other values (201) 209
77.4%
2023-12-11T08:31:12.781205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
6.1%
점 77
 
5.1%
함 67
 
4.5%
안 62
 
4.1%
마 43
 
2.9%
트 40
 
2.7%
븐 38
 
2.5%
칠 32
 
2.1%
일 28
 
1.9%
2 23
 
1.5%
Other values (244) 999
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
83.9%
Space Separator 92
 
6.1%
Uppercase Letter 56
 
3.7%
Decimal Number 50
 
3.3%
Close Punctuation 17
 
1.1%
Open Punctuation 17
 
1.1%
Lowercase Letter 5
 
0.3%
Other Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 77
 
6.1%
함 67
 
5.3%
안 62
 
4.9%
마 43
 
3.4%
트 40
 
3.2%
븐 38
 
3.0%
칠 32
 
2.5%
일 28
 
2.2%
유 23
 
1.8%
세 23
 
1.8%
Other values (215) 826
65.6%
Uppercase Letter
ValueCountFrequency (%)
S 15
26.8%
G 14
25.0%
C 10
17.9%
I 4
 
7.1%
U 4
 
7.1%
E 2
 
3.6%
Y 1
 
1.8%
B 1
 
1.8%
A 1
 
1.8%
D 1
 
1.8%
Other values (3) 3
 
5.4%
Decimal Number
ValueCountFrequency (%)
2 23
46.0%
5 15
30.0%
4 8
 
16.0%
3 2
 
4.0%
9 2
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
t 1
20.0%
a 1
20.0%
m 1
20.0%
s 1
20.0%
Space Separator
ValueCountFrequency (%)
92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1259
83.9%
Common 181
 
12.1%
Latin 61
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 77
 
6.1%
함 67
 
5.3%
안 62
 
4.9%
마 43
 
3.4%
트 40
 
3.2%
븐 38
 
3.0%
칠 32
 
2.5%
일 28
 
2.2%
유 23
 
1.8%
세 23
 
1.8%
Other values (215) 826
65.6%
Latin
ValueCountFrequency (%)
S 15
24.6%
G 14
23.0%
C 10
16.4%
I 4
 
6.6%
U 4
 
6.6%
E 2
 
3.3%
Y 1
 
1.6%
B 1
 
1.6%
A 1
 
1.6%
D 1
 
1.6%
Other values (8) 8
13.1%
Common
ValueCountFrequency (%)
92
50.8%
2 23
 
12.7%
) 17
 
9.4%
( 17
 
9.4%
5 15
 
8.3%
4 8
 
4.4%
3 2
 
1.1%
. 2
 
1.1%
9 2
 
1.1%
- 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1259
83.9%
ASCII 242
 
16.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
38.0%
2 23
 
9.5%
) 17
 
7.0%
( 17
 
7.0%
S 15
 
6.2%
5 15
 
6.2%
G 14
 
5.8%
C 10
 
4.1%
4 8
 
3.3%
I 4
 
1.7%
Other values (19) 27
 
11.2%
Hangul
ValueCountFrequency (%)
점 77
 
6.1%
함 67
 
5.3%
안 62
 
4.9%
마 43
 
3.4%
트 40
 
3.2%
븐 38
 
3.0%
칠 32
 
2.5%
일 28
 
2.2%
유 23
 
1.8%
세 23
 
1.8%
Other values (215) 826
65.6%

업소지번주소
Text

Distinct179
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T08:31:13.046107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length23.133971
Min length1

Characters and Unicode

Total characters4835
Distinct characters198
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

Unique177 ?
Unique (%)84.7%

Sample

1st row경상남도 함안군 칠원읍 예곡리 426-3 102호
2nd row경상남도 함안군 칠원읍 구성리 625-6
3rd row경상남도 함안군 칠서면 무릉리 1058-1 칠서기공아파트 상가동
4th row경상남도 함안군 칠서면 무릉리 801
5th row경상남도 함안군 칠원읍 용산리 99
ValueCountFrequency (%)
경상남도 179
 
17.0%
함안군 179
 
17.0%
가야읍 33
 
3.1%
군북면 28
 
2.7%
칠서면 23
 
2.2%
칠원읍 23
 
2.2%
칠원면 18
 
1.7%
법수면 14
 
1.3%
산인면 14
 
1.3%
말산리 14
 
1.3%
Other values (325) 528
50.1%
2023-12-11T08:31:13.432554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1039
21.5%
군 207
 
4.3%
도 195
 
4.0%
안 192
 
4.0%
함 191
 
4.0%
상 190
 
3.9%
리 183
 
3.8%
남 180
 
3.7%
경 180
 
3.7%
1 158
 
3.3%
Other values (188) 2120
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2935
60.7%
Space Separator 1039
 
21.5%
Decimal Number 773
 
16.0%
Dash Punctuation 64
 
1.3%
Uppercase Letter 15
 
0.3%
Other Punctuation 5
 
0.1%
Math Symbol 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 207
 
7.1%
도 195
 
6.6%
안 192
 
6.5%
함 191
 
6.5%
상 190
 
6.5%
리 183
 
6.2%
남 180
 
6.1%
경 180
 
6.1%
면 123
 
4.2%
호 121
 
4.1%
Other values (162) 1173
40.0%
Decimal Number
ValueCountFrequency (%)
1 158
20.4%
2 107
13.8%
3 88
11.4%
0 74
9.6%
4 70
9.1%
5 64
8.3%
7 58
 
7.5%
9 53
 
6.9%
6 51
 
6.6%
8 50
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
H 2
13.3%
T 2
13.3%
Y 2
13.3%
B 2
13.3%
A 2
13.3%
P 1
6.7%
L 1
6.7%
U 1
6.7%
E 1
6.7%
W 1
6.7%
Space Separator
ValueCountFrequency (%)
1039
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2935
60.7%
Common 1885
39.0%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 207
 
7.1%
도 195
 
6.6%
안 192
 
6.5%
함 191
 
6.5%
상 190
 
6.5%
리 183
 
6.2%
남 180
 
6.1%
경 180
 
6.1%
면 123
 
4.2%
호 121
 
4.1%
Other values (162) 1173
40.0%
Common
ValueCountFrequency (%)
1039
55.1%
1 158
 
8.4%
2 107
 
5.7%
3 88
 
4.7%
0 74
 
3.9%
4 70
 
3.7%
5 64
 
3.4%
- 64
 
3.4%
7 58
 
3.1%
9 53
 
2.8%
Other values (6) 110
 
5.8%
Latin
ValueCountFrequency (%)
H 2
13.3%
T 2
13.3%
Y 2
13.3%
B 2
13.3%
A 2
13.3%
P 1
6.7%
L 1
6.7%
U 1
6.7%
E 1
6.7%
W 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2935
60.7%
ASCII 1900
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1039
54.7%
1 158
 
8.3%
2 107
 
5.6%
3 88
 
4.6%
0 74
 
3.9%
4 70
 
3.7%
5 64
 
3.4%
- 64
 
3.4%
7 58
 
3.1%
9 53
 
2.8%
Other values (16) 125
 
6.6%
Hangul
ValueCountFrequency (%)
군 207
 
7.1%
도 195
 
6.6%
안 192
 
6.5%
함 191
 
6.5%
상 190
 
6.5%
리 183
 
6.2%
남 180
 
6.1%
경 180
 
6.1%
면 123
 
4.2%
호 121
 
4.1%
Other values (162) 1173
40.0%

업소도로명주소
Text

Distinct164
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T08:31:13.752485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length19.15311
Min length1

Characters and Unicode

Total characters4003
Distinct characters178
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

Unique162 ?
Unique (%)77.5%

Sample

1st row경상남도 함안군 칠원읍 경남대로 1524. 1층 102호
2nd row경상남도 함안군 칠원읍 삼칠로 191
3rd row경상남도 함안군 칠서면 함의로 7. 상가동 102.103호 (칠서기공아파트)
4th row경상남도 함안군 칠서면 삼칠로 342
5th row경상남도 함안군 칠원읍 구성길 21. 1층
ValueCountFrequency (%)
경상남도 164
18.0%
함안군 164
18.0%
가야읍 36
 
4.0%
군북면 29
 
3.2%
칠원읍 27
 
3.0%
칠서면 20
 
2.2%
함마대로 19
 
2.1%
1층 17
 
1.9%
함안대로 13
 
1.4%
법수면 13
 
1.4%
Other values (286) 407
44.8%
2023-12-11T08:31:14.274172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
791
19.8%
함 214
 
5.3%
안 194
 
4.8%
군 194
 
4.8%
상 175
 
4.4%
남 172
 
4.3%
경 169
 
4.2%
도 166
 
4.1%
1 158
 
3.9%
로 115
 
2.9%
Other values (168) 1655
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2500
62.5%
Space Separator 791
 
19.8%
Decimal Number 588
 
14.7%
Other Punctuation 58
 
1.4%
Dash Punctuation 30
 
0.7%
Open Punctuation 17
 
0.4%
Close Punctuation 17
 
0.4%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 214
 
8.6%
안 194
 
7.8%
군 194
 
7.8%
상 175
 
7.0%
남 172
 
6.9%
경 169
 
6.8%
도 166
 
6.6%
로 115
 
4.6%
면 101
 
4.0%
칠 80
 
3.2%
Other values (151) 920
36.8%
Decimal Number
ValueCountFrequency (%)
1 158
26.9%
2 84
14.3%
3 56
 
9.5%
0 55
 
9.4%
5 51
 
8.7%
4 43
 
7.3%
6 42
 
7.1%
8 37
 
6.3%
7 33
 
5.6%
9 29
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
791
100.0%
Other Punctuation
ValueCountFrequency (%)
. 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2500
62.5%
Common 1501
37.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 214
 
8.6%
안 194
 
7.8%
군 194
 
7.8%
상 175
 
7.0%
남 172
 
6.9%
경 169
 
6.8%
도 166
 
6.6%
로 115
 
4.6%
면 101
 
4.0%
칠 80
 
3.2%
Other values (151) 920
36.8%
Common
ValueCountFrequency (%)
791
52.7%
1 158
 
10.5%
2 84
 
5.6%
. 58
 
3.9%
3 56
 
3.7%
0 55
 
3.7%
5 51
 
3.4%
4 43
 
2.9%
6 42
 
2.8%
8 37
 
2.5%
Other values (5) 126
 
8.4%
Latin
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2500
62.5%
ASCII 1503
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
791
52.6%
1 158
 
10.5%
2 84
 
5.6%
. 58
 
3.9%
3 56
 
3.7%
0 55
 
3.7%
5 51
 
3.4%
4 43
 
2.9%
6 42
 
2.8%
8 37
 
2.5%
Other values (7) 128
 
8.5%
Hangul
ValueCountFrequency (%)
함 214
 
8.6%
안 194
 
7.8%
군 194
 
7.8%
상 175
 
7.0%
남 172
 
6.9%
경 169
 
6.8%
도 166
 
6.6%
로 115
 
4.6%
면 101
 
4.0%
칠 80
 
3.2%
Other values (151) 920
36.8%

업소전화번호
Text

MISSING 

Distinct97
Distinct (%)95.1%
Missing107
Missing (%)51.2%
Memory size1.8 KiB
2023-12-11T08:31:14.561160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.77451
Min length1

Characters and Unicode

Total characters1201
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

Unique93 ?
Unique (%)91.2%

Sample

1st row055-584-1900
2nd row055-582-0074
3rd row055-584-0837
4th row055-584-1117
5th row055-584-0399
ValueCountFrequency (%)
051-644-4675 3
 
3.0%
055-587-9656 2
 
2.0%
055-291-1155 2
 
2.0%
055-583-3376 1
 
1.0%
055-582-2374 1
 
1.0%
055-587-4381 1
 
1.0%
055-587-3144 1
 
1.0%
055-587-0753 1
 
1.0%
055-587-0124 1
 
1.0%
055-584-4854 1
 
1.0%
Other values (86) 86
86.0%
2023-12-11T08:31:14.956345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 343
28.6%
- 200
16.7%
0 146
12.2%
8 127
 
10.6%
7 68
 
5.7%
3 67
 
5.6%
2 62
 
5.2%
4 58
 
4.8%
1 54
 
4.5%
6 41
 
3.4%
Other values (2) 35
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 999
83.2%
Dash Punctuation 200
 
16.7%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 343
34.3%
0 146
14.6%
8 127
 
12.7%
7 68
 
6.8%
3 67
 
6.7%
2 62
 
6.2%
4 58
 
5.8%
1 54
 
5.4%
6 41
 
4.1%
9 33
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1201
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 343
28.6%
- 200
16.7%
0 146
12.2%
8 127
 
10.6%
7 68
 
5.7%
3 67
 
5.6%
2 62
 
5.2%
4 58
 
4.8%
1 54
 
4.5%
6 41
 
3.4%
Other values (2) 35
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1201
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 343
28.6%
- 200
16.7%
0 146
12.2%
8 127
 
10.6%
7 68
 
5.7%
3 67
 
5.6%
2 62
 
5.2%
4 58
 
4.8%
1 54
 
4.5%
6 41
 
3.4%
Other values (2) 35
 
2.9%

지정일자
Text

Distinct189
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-11T08:31:15.213694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2090
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

Unique177 ?
Unique (%)84.7%

Sample

1st row2023-10-10
2nd row2023-09-26
3rd row2023-09-14
4th row2023-08-29
5th row2023-07-19
ValueCountFrequency (%)
1989-04-25 8
 
3.8%
2021-01-11 3
 
1.4%
2018-04-12 3
 
1.4%
2020-12-21 2
 
1.0%
2022-12-06 2
 
1.0%
2018-06-26 2
 
1.0%
2020-08-21 2
 
1.0%
2019-06-27 2
 
1.0%
2017-06-22 2
 
1.0%
1998-09-19 2
 
1.0%
Other values (179) 181
86.6%
2023-12-11T08:31:15.607671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 470
22.5%
- 418
20.0%
2 385
18.4%
1 326
15.6%
9 130
 
6.2%
8 90
 
4.3%
3 67
 
3.2%
4 57
 
2.7%
6 50
 
2.4%
5 48
 
2.3%
Other values (2) 49
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1670
79.9%
Dash Punctuation 418
 
20.0%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 470
28.1%
2 385
23.1%
1 326
19.5%
9 130
 
7.8%
8 90
 
5.4%
3 67
 
4.0%
4 57
 
3.4%
6 50
 
3.0%
5 48
 
2.9%
7 47
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 418
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2090
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 470
22.5%
- 418
20.0%
2 385
18.4%
1 326
15.6%
9 130
 
6.2%
8 90
 
4.3%
3 67
 
3.2%
4 57
 
2.7%
6 50
 
2.4%
5 48
 
2.3%
Other values (2) 49
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 470
22.5%
- 418
20.0%
2 385
18.4%
1 326
15.6%
9 130
 
6.2%
8 90
 
4.3%
3 67
 
3.2%
4 57
 
2.7%
6 50
 
2.4%
5 48
 
2.3%
Other values (2) 49
 
2.3%

Interactions

2023-12-11T08:31:11.686928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:31:15.708388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업소전화번호
번호1.0000.980
업소전화번호0.9801.000

Missing values

2023-12-11T08:31:11.784231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:31:11.891346image/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
01씨유 함안칠원점경상남도 함안군 칠원읍 예곡리 426-3 102호경상남도 함안군 칠원읍 경남대로 1524. 1층 102호<NA>2023-10-10
12철이상회경상남도 함안군 칠원읍 구성리 625-6경상남도 함안군 칠원읍 삼칠로 191<NA>2023-09-26
23씨유 함안칠서기공점경상남도 함안군 칠서면 무릉리 1058-1 칠서기공아파트 상가동경상남도 함안군 칠서면 함의로 7. 상가동 102.103호 (칠서기공아파트)<NA>2023-09-14
34칠서IC편의점경상남도 함안군 칠서면 무릉리 801경상남도 함안군 칠서면 삼칠로 342<NA>2023-08-29
45이마트24 함안칠원용산점경상남도 함안군 칠원읍 용산리 99경상남도 함안군 칠원읍 구성길 21. 1층<NA>2023-07-19
56장수식당경상남도 함안군 산인면 송정리 445경상남도 함안군 산인면 송산로 111<NA>2023-07-14
67기사뷔페식당경상남도 함안군 군북면 장지리 745-7경상남도 함안군 군북면 장백로 325<NA>2023-07-12
78부농종묘사경상남도 함안군 가야읍 산서리 684-518 중앙종묘경상남도 함안군 가야읍 함안대로 754. 중앙종묘055-584-19002023-06-05
89세븐일레븐 함안가야점경상남도 함안군 가야읍 검암리 970-2 예원경상남도 함안군 가야읍 가야로 150. 예원<NA>2023-04-14
910씨유 함안노블리안점경상남도 함안군 가야읍 말산리 23 태완노블리안상가 201동경상남도 함안군 가야읍 가야18길 20. 태완노블리안상가 201동 1층 101.102.105호<NA>2023-02-24
번호업소명업소지번주소업소도로명주소업소전화번호지정일자
199200경상남도 함안군 함안면 괴산리 539-1호055-583-22411989-04-25
200201함주상회경상남도 함안군 가야읍 말산리 237호경상남도 함안군 가야읍 중앙본길 25-10055-583-02241999-10-29
201202오뚜기슈퍼경상남도 함안군 가야읍 검암리 953-2호055-582-01932005-07-06
202203건어물경상남도 함안군 가야읍 말산리 470-4호055-583-29371998-10-20
203204경상남도 함안군 가야읍 묘사리 713-3호055-584-05531998-18-08
204205운동장슈퍼경상남도 함안군 가야읍 도항리 249-28호055-583-11241998-09-19
205206가야농협하나로마트경상남도 함안군 가야읍 말산리 414번지 7호 가야농협하나로마트경상남도 함안군 가야읍 함안대로 539. 가야농협하나로마트055-584-89001998-09-19
206207함안축협하나로마트경상남도 함안군 가야읍 말산리 170번지경상남도 함안군 가야읍 함안대로 524055-584-21801996-11-08
207208우주상회경상남도 함안군 가야읍 말산리 238-5호055-583-33761995-03-09
208209대우상회경상남도 함안군 가야읍 말산리 호 408-4055-583-28701994-11-08