Overview

Dataset statistics

Number of variables10
Number of observations165
Missing cells246
Missing cells (%)14.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory82.8 B

Variable types

Numeric1
Text5
Categorical2
Unsupported1
DateTime1

Dataset

Description경남 남해군 담배소매인지정 현황에 대한 데이터이며 업소명, 업소주소, 지정일자, 법인구분, 영엽구분 등의 현황 정보를 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15035405

Alerts

소매인구분 is highly overall correlated with 법인구분High correlation
법인구분 is highly overall correlated with 소매인구분High correlation
소매인구분 is highly imbalanced (66.5%)Imbalance
법인구분 is highly imbalanced (56.1%)Imbalance
민원구분 has 165 (100.0%) missing valuesMissing
업소지번주소 has 28 (17.0%) missing valuesMissing
업소전화번호 has 53 (32.1%) missing valuesMissing
순번 has unique valuesUnique
민원구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:39:09.549903
Analysis finished2023-12-10 23:39:10.512490
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T08:39:10.604922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.2
Q142
median83
Q3124
95-th percentile156.8
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.775517
Coefficient of variation (CV)0.57560864
Kurtosis-1.2
Mean83
Median Absolute Deviation (MAD)41
Skewness0
Sum13695
Variance2282.5
MonotonicityStrictly increasing
2023-12-11T08:39:10.770562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (155) 155
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%

대표자명
Text

Distinct151
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:39:11.095415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.5393939
Min length2

Characters and Unicode

Total characters584
Distinct characters139
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)87.3%

Sample

1st row하영희
2nd row김명심
3rd row이성준
4th row문영숙
5th row손순남
ValueCountFrequency (%)
새남해농업협동조합 6
 
3.6%
동남해농업협동조합 5
 
3.0%
한수진 2
 
1.2%
이성준 2
 
1.2%
김명학 2
 
1.2%
허경희 2
 
1.2%
김윤미 2
 
1.2%
이정순 1
 
0.6%
정우주 1
 
0.6%
하영희 1
 
0.6%
Other values (142) 142
85.5%
2023-12-11T08:39:11.564287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 30
 
5.1%
정 28
 
4.8%
이 22
 
3.8%
박 19
 
3.3%
동 18
 
3.1%
영 15
 
2.6%
남 15
 
2.6%
순 14
 
2.4%
협 14
 
2.4%
농 14
 
2.4%
Other values (129) 395
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
99.3%
Open Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%
Space Separator 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 30
 
5.2%
정 28
 
4.8%
이 22
 
3.8%
박 19
 
3.3%
동 18
 
3.1%
영 15
 
2.6%
남 15
 
2.6%
순 14
 
2.4%
협 14
 
2.4%
농 14
 
2.4%
Other values (125) 391
67.4%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
99.3%
Common 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 30
 
5.2%
정 28
 
4.8%
이 22
 
3.8%
박 19
 
3.3%
동 18
 
3.1%
영 15
 
2.6%
남 15
 
2.6%
순 14
 
2.4%
협 14
 
2.4%
농 14
 
2.4%
Other values (125) 391
67.4%
Common
ValueCountFrequency (%)
( 1
25.0%
1 1
25.0%
1
25.0%
) 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
99.3%
ASCII 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 30
 
5.2%
정 28
 
4.8%
이 22
 
3.8%
박 19
 
3.3%
동 18
 
3.1%
영 15
 
2.6%
남 15
 
2.6%
순 14
 
2.4%
협 14
 
2.4%
농 14
 
2.4%
Other values (125) 391
67.4%
ASCII
ValueCountFrequency (%)
( 1
25.0%
1 1
25.0%
1
25.0%
) 1
25.0%

소매인구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반소매인
147 
구내소매인
17 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9939394
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 147
89.1%
구내소매인 17
 
10.3%
<NA> 1
 
0.6%

Length

2023-12-11T08:39:11.723036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:11.836546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 147
89.1%
구내소매인 17
 
10.3%
na 1
 
0.6%

민원구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

업소명
Text

Distinct158
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:39:12.093830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.4727273
Min length2

Characters and Unicode

Total characters1068
Distinct characters227
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)95.2%

Sample

1st rowGS25남해앵강만점
2nd row카페라운지
3rd row씨유남해북변터미널점
4th row세븐일레븐 남해이끌림점
5th row가천상회
ValueCountFrequency (%)
씨유 13
 
6.2%
없음 8
 
3.8%
세븐일레븐 6
 
2.8%
gs25 4
 
1.9%
남해독일마을점 3
 
1.4%
남해점 3
 
1.4%
새남해농협 2
 
0.9%
롯데슈퍼 2
 
0.9%
동남해농협 2
 
0.9%
남해이동점 2
 
0.9%
Other values (165) 166
78.7%
2023-12-11T08:39:12.543451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 65
 
6.1%
해 63
 
5.9%
점 61
 
5.7%
46
 
4.3%
마 28
 
2.6%
상 25
 
2.3%
회 19
 
1.8%
슈 19
 
1.8%
퍼 19
 
1.8%
동 18
 
1.7%
Other values (217) 705
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 962
90.1%
Space Separator 46
 
4.3%
Decimal Number 27
 
2.5%
Uppercase Letter 27
 
2.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 65
 
6.8%
해 63
 
6.5%
점 61
 
6.3%
마 28
 
2.9%
상 25
 
2.6%
회 19
 
2.0%
슈 19
 
2.0%
퍼 19
 
2.0%
동 18
 
1.9%
트 18
 
1.9%
Other values (203) 627
65.2%
Uppercase Letter
ValueCountFrequency (%)
S 11
40.7%
G 11
40.7%
U 2
 
7.4%
C 2
 
7.4%
A 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 12
44.4%
5 11
40.7%
7 3
 
11.1%
4 1
 
3.7%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
90.0%
Common 79
 
7.4%
Latin 27
 
2.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 65
 
6.8%
해 63
 
6.6%
점 61
 
6.3%
마 28
 
2.9%
상 25
 
2.6%
회 19
 
2.0%
슈 19
 
2.0%
퍼 19
 
2.0%
동 18
 
1.9%
트 18
 
1.9%
Other values (202) 626
65.1%
Common
ValueCountFrequency (%)
46
58.2%
2 12
 
15.2%
5 11
 
13.9%
7 3
 
3.8%
( 2
 
2.5%
) 2
 
2.5%
4 1
 
1.3%
. 1
 
1.3%
+ 1
 
1.3%
Latin
ValueCountFrequency (%)
S 11
40.7%
G 11
40.7%
U 2
 
7.4%
C 2
 
7.4%
A 1
 
3.7%
Han
ValueCountFrequency (%)
通 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 961
90.0%
ASCII 106
 
9.9%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 65
 
6.8%
해 63
 
6.6%
점 61
 
6.3%
마 28
 
2.9%
상 25
 
2.6%
회 19
 
2.0%
슈 19
 
2.0%
퍼 19
 
2.0%
동 18
 
1.9%
트 18
 
1.9%
Other values (202) 626
65.1%
ASCII
ValueCountFrequency (%)
46
43.4%
2 12
 
11.3%
5 11
 
10.4%
S 11
 
10.4%
G 11
 
10.4%
7 3
 
2.8%
( 2
 
1.9%
) 2
 
1.9%
U 2
 
1.9%
C 2
 
1.9%
Other values (4) 4
 
3.8%
CJK
ValueCountFrequency (%)
通 1
100.0%

업소지번주소
Text

MISSING 

Distinct107
Distinct (%)78.1%
Missing28
Missing (%)17.0%
Memory size1.4 KiB
2023-12-11T08:39:13.153871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length21.058394
Min length1

Characters and Unicode

Total characters2885
Distinct characters120
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)77.4%

Sample

1st row경상남도 남해군 이동면 신전리 1030번지 1호
2nd row경상남도 남해군 남면 선구리 658번지 7호
3rd row경상남도 남해군 남해읍 북변리 469번지 4호
4th row경상남도 남해군 남면 당항리 32번지
5th row경상남도 남해군 남면 홍현리 899번지 가천슈퍼
ValueCountFrequency (%)
경상남도 106
 
16.2%
남해군 106
 
16.2%
남해읍 29
 
4.4%
호 21
 
3.2%
북변리 15
 
2.3%
삼동면 13
 
2.0%
1호 13
 
2.0%
창선면 11
 
1.7%
남면 10
 
1.5%
1 9
 
1.4%
Other values (191) 320
49.0%
2023-12-11T08:39:13.574781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
715
24.8%
남 261
 
9.0%
해 137
 
4.7%
상 125
 
4.3%
도 108
 
3.7%
리 108
 
3.7%
군 106
 
3.7%
경 106
 
3.7%
1 106
 
3.7%
호 98
 
3.4%
Other values (110) 1015
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1707
59.2%
Space Separator 715
24.8%
Decimal Number 452
 
15.7%
Dash Punctuation 11
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 261
15.3%
해 137
 
8.0%
상 125
 
7.3%
도 108
 
6.3%
리 108
 
6.3%
군 106
 
6.2%
경 106
 
6.2%
호 98
 
5.7%
지 90
 
5.3%
번 88
 
5.2%
Other values (98) 480
28.1%
Decimal Number
ValueCountFrequency (%)
1 106
23.5%
2 58
12.8%
3 49
10.8%
6 39
 
8.6%
8 39
 
8.6%
4 36
 
8.0%
7 32
 
7.1%
5 32
 
7.1%
0 32
 
7.1%
9 29
 
6.4%
Space Separator
ValueCountFrequency (%)
715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1707
59.2%
Common 1178
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 261
15.3%
해 137
 
8.0%
상 125
 
7.3%
도 108
 
6.3%
리 108
 
6.3%
군 106
 
6.2%
경 106
 
6.2%
호 98
 
5.7%
지 90
 
5.3%
번 88
 
5.2%
Other values (98) 480
28.1%
Common
ValueCountFrequency (%)
715
60.7%
1 106
 
9.0%
2 58
 
4.9%
3 49
 
4.2%
6 39
 
3.3%
8 39
 
3.3%
4 36
 
3.1%
7 32
 
2.7%
5 32
 
2.7%
0 32
 
2.7%
Other values (2) 40
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1707
59.2%
ASCII 1178
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
715
60.7%
1 106
 
9.0%
2 58
 
4.9%
3 49
 
4.2%
6 39
 
3.3%
8 39
 
3.3%
4 36
 
3.1%
7 32
 
2.7%
5 32
 
2.7%
0 32
 
2.7%
Other values (2) 40
 
3.4%
Hangul
ValueCountFrequency (%)
남 261
15.3%
해 137
 
8.0%
상 125
 
7.3%
도 108
 
6.3%
리 108
 
6.3%
군 106
 
6.2%
경 106
 
6.2%
호 98
 
5.7%
지 90
 
5.3%
번 88
 
5.2%
Other values (98) 480
28.1%

업소도로명주소
Text

Distinct162
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T08:39:13.867461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length22.781818
Min length18

Characters and Unicode

Total characters3759
Distinct characters107
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)96.4%

Sample

1st row경상남도 남해군 이동면 남해대로 1603
2nd row경상남도 남해군 남면 남면로1031번길 48
3rd row경상남도 남해군 남해읍 화전로122번길 34
4th row경상남도 남해군 남면 남서대로 539. 4동
5th row경상남도 남해군 남면 남면로679번길 19. 가천슈퍼
ValueCountFrequency (%)
경상남도 165
19.0%
남해군 165
19.0%
남해읍 41
 
4.7%
남해대로 21
 
2.4%
남면 19
 
2.2%
삼동면 18
 
2.1%
동부대로 17
 
2.0%
화전로 17
 
2.0%
남서대로 17
 
2.0%
미조면 16
 
1.8%
Other values (231) 374
43.0%
2023-12-11T08:39:14.311410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
706
18.8%
남 447
 
11.9%
해 234
 
6.2%
상 182
 
4.8%
경 165
 
4.4%
도 165
 
4.4%
군 165
 
4.4%
로 163
 
4.3%
면 132
 
3.5%
1 116
 
3.1%
Other values (97) 1284
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2364
62.9%
Space Separator 706
 
18.8%
Decimal Number 620
 
16.5%
Dash Punctuation 33
 
0.9%
Other Punctuation 12
 
0.3%
Close Punctuation 12
 
0.3%
Open Punctuation 12
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 447
18.9%
해 234
 
9.9%
상 182
 
7.7%
경 165
 
7.0%
도 165
 
7.0%
군 165
 
7.0%
로 163
 
6.9%
면 132
 
5.6%
대 67
 
2.8%
동 58
 
2.5%
Other values (82) 586
24.8%
Decimal Number
ValueCountFrequency (%)
1 116
18.7%
2 79
12.7%
3 58
9.4%
9 57
9.2%
8 57
9.2%
4 55
8.9%
6 55
8.9%
7 53
8.5%
0 48
7.7%
5 42
 
6.8%
Space Separator
ValueCountFrequency (%)
706
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2364
62.9%
Common 1395
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 447
18.9%
해 234
 
9.9%
상 182
 
7.7%
경 165
 
7.0%
도 165
 
7.0%
군 165
 
7.0%
로 163
 
6.9%
면 132
 
5.6%
대 67
 
2.8%
동 58
 
2.5%
Other values (82) 586
24.8%
Common
ValueCountFrequency (%)
706
50.6%
1 116
 
8.3%
2 79
 
5.7%
3 58
 
4.2%
9 57
 
4.1%
8 57
 
4.1%
4 55
 
3.9%
6 55
 
3.9%
7 53
 
3.8%
0 48
 
3.4%
Other values (5) 111
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2364
62.9%
ASCII 1395
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
706
50.6%
1 116
 
8.3%
2 79
 
5.7%
3 58
 
4.2%
9 57
 
4.1%
8 57
 
4.1%
4 55
 
3.9%
6 55
 
3.9%
7 53
 
3.8%
0 48
 
3.4%
Other values (5) 111
 
8.0%
Hangul
ValueCountFrequency (%)
남 447
18.9%
해 234
 
9.9%
상 182
 
7.7%
경 165
 
7.0%
도 165
 
7.0%
군 165
 
7.0%
로 163
 
6.9%
면 132
 
5.6%
대 67
 
2.8%
동 58
 
2.5%
Other values (82) 586
24.8%

업소전화번호
Text

MISSING 

Distinct96
Distinct (%)85.7%
Missing53
Missing (%)32.1%
Memory size1.4 KiB
2023-12-11T08:39:14.509525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.723214
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

Unique92 ?
Unique (%)82.1%

Sample

1st row055-864-7789
2nd row055-867-8574
3rd row055-867-7961
4th row055-863-2530
5th row055-862-3037
ValueCountFrequency (%)
055-863-2545 3
 
3.0%
055-864-0677 2
 
2.0%
055-867-0865 2
 
2.0%
055-867-5982 1
 
1.0%
055-863-4801 1
 
1.0%
055-867-2430 1
 
1.0%
055-864-2340 1
 
1.0%
055-867-1140 1
 
1.0%
055-864-4883 1
 
1.0%
055-862-2851 1
 
1.0%
Other values (85) 85
85.9%
2023-12-11T08:39:14.828509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 230
19.2%
- 198
16.5%
8 150
12.5%
0 148
12.3%
6 130
10.8%
2 74
 
6.2%
7 70
 
5.8%
3 56
 
4.7%
4 52
 
4.3%
1 52
 
4.3%
Other values (2) 41
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 990
82.4%
Dash Punctuation 198
 
16.5%
Space Separator 13
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 230
23.2%
8 150
15.2%
0 148
14.9%
6 130
13.1%
2 74
 
7.5%
7 70
 
7.1%
3 56
 
5.7%
4 52
 
5.3%
1 52
 
5.3%
9 28
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1201
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 230
19.2%
- 198
16.5%
8 150
12.5%
0 148
12.3%
6 130
10.8%
2 74
 
6.2%
7 70
 
5.8%
3 56
 
4.7%
4 52
 
4.3%
1 52
 
4.3%
Other values (2) 41
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1201
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 230
19.2%
- 198
16.5%
8 150
12.5%
0 148
12.3%
6 130
10.8%
2 74
 
6.2%
7 70
 
5.8%
3 56
 
4.7%
4 52
 
4.3%
1 52
 
4.3%
Other values (2) 41
 
3.4%

지정일자
Date

Distinct126
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1963-07-01 00:00:00
Maximum2019-07-31 00:00:00
2023-12-11T08:39:14.947091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:15.072996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
개인
150 
법인
 
15

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 150
90.9%
법인 15
 
9.1%

Length

2023-12-11T08:39:15.196694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:15.302994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 150
90.9%
법인 15
 
9.1%

Interactions

2023-12-11T08:39:10.047428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:39:15.362085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소매인구분업소전화번호법인구분
순번1.0000.4940.9730.551
소매인구분0.4941.0000.9250.903
업소전화번호0.9730.9251.0001.000
법인구분0.5510.9031.0001.000
2023-12-11T08:39:15.434294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분법인구분
소매인구분1.0000.717
법인구분0.7171.000
2023-12-11T08:39:15.511023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소매인구분법인구분
순번1.0000.3900.434
소매인구분0.3901.0000.717
법인구분0.4340.7171.000

Missing values

2023-12-11T08:39:10.158999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:39:10.319947image/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.
2023-12-11T08:39:10.445264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번대표자명소매인구분민원구분업소명업소지번주소업소도로명주소업소전화번호지정일자법인구분
01하영희일반소매인<NA>GS25남해앵강만점경상남도 남해군 이동면 신전리 1030번지 1호경상남도 남해군 이동면 남해대로 1603<NA>2018-11-21개인
12김명심일반소매인<NA>카페라운지경상남도 남해군 남면 선구리 658번지 7호경상남도 남해군 남면 남면로1031번길 48<NA>2018-11-15개인
23이성준일반소매인<NA>씨유남해북변터미널점경상남도 남해군 남해읍 북변리 469번지 4호경상남도 남해군 남해읍 화전로122번길 34<NA>2018-10-18개인
34문영숙일반소매인<NA>세븐일레븐 남해이끌림점경상남도 남해군 남면 당항리 32번지경상남도 남해군 남면 남서대로 539. 4동<NA>2018-10-16개인
45손순남일반소매인<NA>가천상회경상남도 남해군 남면 홍현리 899번지 가천슈퍼경상남도 남해군 남면 남면로679번길 19. 가천슈퍼<NA>2018-09-21개인
56손금순일반소매인<NA>초록식품경상남도 남해군 이동면 무림리 1038번지 8호 초록할인마트경상남도 남해군 이동면 무림로 68-1. 초록할인마트<NA>2018-09-12개인
67정주리일반소매인<NA>제이라운지경상남도 남해군 설천면 문항리 1319번지 1호경상남도 남해군 설천면 설천로 560<NA>2018-09-07개인
78신점수일반소매인<NA>동대만 휴게소경상남도 남해군 창선면 동대리 482번지 8호 동대만휴게소경상남도 남해군 창선면 동부대로 2418. 동대만휴게소<NA>2018-08-01개인
89허경희일반소매인<NA>우리주유소. 세븐일레븐 남해이동점경상남도 남해군 이동면 석평리 802번지 2호 우리주유소경상남도 남해군 이동면 무림로 9. 우리주유소<NA>2018-08-01개인
910최은희일반소매인<NA>보물섬 편의점경상남도 남해군 창선면 대벽리 86번지 1호 연육교부동산컨설팅경상남도 남해군 창선면 동부대로 2919. 연육교부동산컨설팅<NA>2018-05-23개인
순번대표자명소매인구분민원구분업소명업소지번주소업소도로명주소업소전화번호지정일자법인구분
155156김보애일반소매인<NA>상가 매점<NA>경상남도 남해군 남면 남서대로 1060055-863-28922019-07-31개인
156157박행심일반소매인<NA>낚시마트<NA>경상남도 남해군 창선면 흥선로 1202번길 4055-867-08652019-07-31개인
157158곽춘자일반소매인<NA>적량<NA>경상남도 남해군 창선면 흥선로 1202번길 4055-867-08652019-07-31개인
158159장연주일반소매인<NA>창선건어물도소매<NA>경상남도 남해군 창선면 동부대로 2060055-867-36882019-07-31개인
159160백태호일반소매인<NA>남해식자재마트<NA>경상남도 남해군 삼동면 동부대로 1857055-867-88792019-07-31개인
160161동남해농업협동조합구내소매인<NA>동남해농협미조지점<NA>경상남도 남해군 미조면 미송로 24055-867-80832019-07-31개인
161162김태균일반소매인<NA>금화상회<NA>경상남도 남해군 미조면 미조로 248055-867-59822019-07-31개인
162163김효열일반소매인<NA>미송상회<NA>경상남도 남해군 미조면 미송로9-1055-867-63942019-07-31개인
163164백춘형일반소매인<NA>항도어촌계<NA>경상남도 남해군 미조면 동부대로 310번길 32-6<NA>2019-07-31개인
164165동남해농업협동조합구내소매인<NA>동남해농협상주지점<NA>경상남도 남해군 상주면 남해대로 688번길 4055-863-38012019-07-31법인