Overview

Dataset statistics

Number of variables10
Number of observations198
Missing cells58
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory81.7 B

Variable types

Numeric1
Text5
Categorical3
DateTime1

Dataset

Description영월군 담배소매인 지정 현황(업소명, 업소주소, 업소전화번호 등)
Author강원도 영월군
URLhttps://www.data.go.kr/data/15047859/fileData.do

Alerts

번호 is highly overall correlated with 법인구분High correlation
법인구분 is highly overall correlated with 번호High correlation
민원구분 is highly imbalanced (69.0%)Imbalance
비고 is highly imbalanced (94.2%)Imbalance
업소전화번호 has 58 (29.3%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:33:35.692426
Analysis finished2023-12-12 07:33:36.536143
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.5
Minimum1
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T16:33:36.611172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.85
Q150.25
median99.5
Q3148.75
95-th percentile188.15
Maximum198
Range197
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation57.301832
Coefficient of variation (CV)0.57589781
Kurtosis-1.2
Mean99.5
Median Absolute Deviation (MAD)49.5
Skewness0
Sum19701
Variance3283.5
MonotonicityStrictly increasing
2023-12-12T16:33:36.769918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
126 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (188) 188
94.9%
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 (%)
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%

대표자명
Text

Distinct192
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:33:37.091642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.2373737
Min length2

Characters and Unicode

Total characters641
Distinct characters145
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

Unique187 ?
Unique (%)94.4%

Sample

1st row이임하
2nd row진희원
3rd row윤옥동
4th row안창훈
5th row차승미
ValueCountFrequency (%)
신승문 4
 
2.0%
이경국 3
 
1.5%
김종욱 2
 
1.0%
김현화 2
 
1.0%
김옥자 2
 
1.0%
안보영 1
 
0.5%
박종우 1
 
0.5%
라승필 1
 
0.5%
이임하 1
 
0.5%
고순영 1
 
0.5%
Other values (183) 183
91.0%
2023-12-12T16:33:37.545805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 48
 
7.5%
이 31
 
4.8%
정 25
 
3.9%
영 23
 
3.6%
자 22
 
3.4%
순 15
 
2.3%
신 14
 
2.2%
경 13
 
2.0%
옥 12
 
1.9%
최 11
 
1.7%
Other values (135) 427
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
99.2%
Space Separator 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 48
 
7.5%
이 31
 
4.9%
정 25
 
3.9%
영 23
 
3.6%
자 22
 
3.5%
순 15
 
2.4%
신 14
 
2.2%
경 13
 
2.0%
옥 12
 
1.9%
최 11
 
1.7%
Other values (132) 422
66.4%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 636
99.2%
Common 5
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 48
 
7.5%
이 31
 
4.9%
정 25
 
3.9%
영 23
 
3.6%
자 22
 
3.5%
순 15
 
2.4%
신 14
 
2.2%
경 13
 
2.0%
옥 12
 
1.9%
최 11
 
1.7%
Other values (132) 422
66.4%
Common
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 636
99.2%
ASCII 5
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 48
 
7.5%
이 31
 
4.9%
정 25
 
3.9%
영 23
 
3.6%
자 22
 
3.5%
순 15
 
2.4%
신 14
 
2.2%
경 13
 
2.0%
옥 12
 
1.9%
최 11
 
1.7%
Other values (132) 422
66.4%
ASCII
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

민원구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
일반소매인
187 
구내소매인
 
11

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 187
94.4%
구내소매인 11
 
5.6%

Length

2023-12-12T16:33:37.721093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:37.831633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 187
94.4%
구내소매인 11
 
5.6%

업소명
Text

Distinct194
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:33:38.133723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length5.9090909
Min length1

Characters and Unicode

Total characters1170
Distinct characters252
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

Unique191 ?
Unique (%)96.5%

Sample

1st row파주식당
2nd rowGS25영월스타점
3rd row황금슈퍼
4th row씨유 영월주천점
5th row판운쉼터
ValueCountFrequency (%)
씨유 11
 
4.7%
gs25 8
 
3.4%
한반도농협 4
 
1.7%
국군복지단춘천지원본부 3
 
1.3%
영월동강점 2
 
0.9%
하나로마트 2
 
0.9%
세븐일레븐 2
 
0.9%
마을구판장 2
 
0.9%
2
 
0.9%
영월영흥점 2
 
0.9%
Other values (193) 194
83.6%
2023-12-12T16:33:38.634572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 48
 
4.1%
영 45
 
3.8%
월 41
 
3.5%
34
 
2.9%
슈 32
 
2.7%
퍼 32
 
2.7%
상 31
 
2.6%
회 27
 
2.3%
동 25
 
2.1%
마 25
 
2.1%
Other values (242) 830
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1063
90.9%
Space Separator 34
 
2.9%
Decimal Number 29
 
2.5%
Uppercase Letter 28
 
2.4%
Close Punctuation 6
 
0.5%
Open Punctuation 6
 
0.5%
Dash Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 48
 
4.5%
영 45
 
4.2%
월 41
 
3.9%
슈 32
 
3.0%
퍼 32
 
3.0%
상 31
 
2.9%
회 27
 
2.5%
동 25
 
2.4%
마 25
 
2.4%
강 19
 
1.8%
Other values (228) 738
69.4%
Uppercase Letter
ValueCountFrequency (%)
G 12
42.9%
S 12
42.9%
C 2
 
7.1%
U 1
 
3.6%
D 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 15
51.7%
5 12
41.4%
1 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1063
90.9%
Common 79
 
6.8%
Latin 28
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 48
 
4.5%
영 45
 
4.2%
월 41
 
3.9%
슈 32
 
3.0%
퍼 32
 
3.0%
상 31
 
2.9%
회 27
 
2.5%
동 25
 
2.4%
마 25
 
2.4%
강 19
 
1.8%
Other values (228) 738
69.4%
Common
ValueCountFrequency (%)
34
43.0%
2 15
19.0%
5 12
 
15.2%
) 6
 
7.6%
( 6
 
7.6%
- 2
 
2.5%
1 2
 
2.5%
& 1
 
1.3%
/ 1
 
1.3%
Latin
ValueCountFrequency (%)
G 12
42.9%
S 12
42.9%
C 2
 
7.1%
U 1
 
3.6%
D 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1063
90.9%
ASCII 107
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 48
 
4.5%
영 45
 
4.2%
월 41
 
3.9%
슈 32
 
3.0%
퍼 32
 
3.0%
상 31
 
2.9%
회 27
 
2.5%
동 25
 
2.4%
마 25
 
2.4%
강 19
 
1.8%
Other values (228) 738
69.4%
ASCII
ValueCountFrequency (%)
34
31.8%
2 15
14.0%
G 12
 
11.2%
S 12
 
11.2%
5 12
 
11.2%
) 6
 
5.6%
( 6
 
5.6%
- 2
 
1.9%
1 2
 
1.9%
C 2
 
1.9%
Other values (4) 4
 
3.7%

업소지번주소
Text

Distinct155
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:33:39.013789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length20.808081
Min length1

Characters and Unicode

Total characters4120
Distinct characters102
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)77.8%

Sample

1st row강원도 영월군 주천면 주천리 1241번지 11호
2nd row강원도 영월군 영월읍 하송리 382번지 12호
3rd row강원도 영월군 한반도면 쌍용리 산 123번지 9호
4th row강원도 영월군 주천면 주천리 1232번지 4호
5th row강원도 영월군 주천면 판운리 488번지 3호
ValueCountFrequency (%)
영월군 154
 
15.1%
강원도 154
 
15.1%
영월읍 77
 
7.5%
44
 
4.3%
영흥리 27
 
2.6%
호 21
 
2.1%
하송리 19
 
1.9%
1호 16
 
1.6%
2호 16
 
1.6%
주천면 13
 
1.3%
Other values (252) 481
47.1%
2023-12-12T16:33:39.593202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1005
24.4%
영 261
 
6.3%
월 232
 
5.6%
도 179
 
4.3%
원 168
 
4.1%
강 154
 
3.7%
군 154
 
3.7%
리 153
 
3.7%
호 141
 
3.4%
지 129
 
3.1%
Other values (92) 1544
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2375
57.6%
Space Separator 1005
24.4%
Decimal Number 686
 
16.7%
Dash Punctuation 48
 
1.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 261
 
11.0%
월 232
 
9.8%
도 179
 
7.5%
원 168
 
7.1%
강 154
 
6.5%
군 154
 
6.5%
리 153
 
6.4%
호 141
 
5.9%
지 129
 
5.4%
번 129
 
5.4%
Other values (78) 675
28.4%
Decimal Number
ValueCountFrequency (%)
1 127
18.5%
2 93
13.6%
5 71
10.3%
4 70
10.2%
7 60
8.7%
8 59
8.6%
3 57
8.3%
6 50
 
7.3%
9 50
 
7.3%
0 49
 
7.1%
Space Separator
ValueCountFrequency (%)
1005
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2375
57.6%
Common 1745
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 261
 
11.0%
월 232
 
9.8%
도 179
 
7.5%
원 168
 
7.1%
강 154
 
6.5%
군 154
 
6.5%
리 153
 
6.4%
호 141
 
5.9%
지 129
 
5.4%
번 129
 
5.4%
Other values (78) 675
28.4%
Common
ValueCountFrequency (%)
1005
57.6%
1 127
 
7.3%
2 93
 
5.3%
5 71
 
4.1%
4 70
 
4.0%
7 60
 
3.4%
8 59
 
3.4%
3 57
 
3.3%
6 50
 
2.9%
9 50
 
2.9%
Other values (4) 103
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2375
57.6%
ASCII 1745
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1005
57.6%
1 127
 
7.3%
2 93
 
5.3%
5 71
 
4.1%
4 70
 
4.0%
7 60
 
3.4%
8 59
 
3.4%
3 57
 
3.3%
6 50
 
2.9%
9 50
 
2.9%
Other values (4) 103
 
5.9%
Hangul
ValueCountFrequency (%)
영 261
 
11.0%
월 232
 
9.8%
도 179
 
7.5%
원 168
 
7.1%
강 154
 
6.5%
군 154
 
6.5%
리 153
 
6.4%
호 141
 
5.9%
지 129
 
5.4%
번 129
 
5.4%
Other values (78) 675
28.4%

업소도로명주소
Text

Distinct174
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T16:33:39.931217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length18.580808
Min length1

Characters and Unicode

Total characters3679
Distinct characters142
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

Unique171 ?
Unique (%)86.4%

Sample

1st row강원도 영월군 주천면 주천로 89
2nd row강원도 영월군 영월읍 하송로 120
3rd row강원도 영월군 한반도면 쌍용로 202-1
4th row강원도 영월군 주천면 주천시장길 22
5th row강원도 영월군 주천면 송학주천로 2141
ValueCountFrequency (%)
영월군 173
19.0%
강원도 173
19.0%
영월읍 90
 
9.9%
23
 
2.5%
중앙로 18
 
2.0%
한반도면 17
 
1.9%
수주면 16
 
1.8%
주천면 13
 
1.4%
하송로 11
 
1.2%
김삿갓면 10
 
1.1%
Other values (233) 366
40.2%
2023-12-12T16:33:40.390148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
718
19.5%
영 281
 
7.6%
월 278
 
7.6%
도 199
 
5.4%
강 195
 
5.3%
원 184
 
5.0%
군 173
 
4.7%
1 142
 
3.9%
로 130
 
3.5%
읍 97
 
2.6%
Other values (132) 1282
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2274
61.8%
Space Separator 718
 
19.5%
Decimal Number 582
 
15.8%
Dash Punctuation 75
 
2.0%
Open Punctuation 11
 
0.3%
Close Punctuation 11
 
0.3%
Other Punctuation 7
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 281
12.4%
월 278
12.2%
도 199
 
8.8%
강 195
 
8.6%
원 184
 
8.1%
군 173
 
7.6%
로 130
 
5.7%
읍 97
 
4.3%
면 76
 
3.3%
길 47
 
2.1%
Other values (116) 614
27.0%
Decimal Number
ValueCountFrequency (%)
1 142
24.4%
2 84
14.4%
3 68
11.7%
6 45
 
7.7%
7 43
 
7.4%
0 43
 
7.4%
4 40
 
6.9%
5 40
 
6.9%
9 39
 
6.7%
8 38
 
6.5%
Space Separator
ValueCountFrequency (%)
718
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2274
61.8%
Common 1405
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 281
12.4%
월 278
12.2%
도 199
 
8.8%
강 195
 
8.6%
원 184
 
8.1%
군 173
 
7.6%
로 130
 
5.7%
읍 97
 
4.3%
면 76
 
3.3%
길 47
 
2.1%
Other values (116) 614
27.0%
Common
ValueCountFrequency (%)
718
51.1%
1 142
 
10.1%
2 84
 
6.0%
- 75
 
5.3%
3 68
 
4.8%
6 45
 
3.2%
7 43
 
3.1%
0 43
 
3.1%
4 40
 
2.8%
5 40
 
2.8%
Other values (6) 107
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2274
61.8%
ASCII 1405
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
718
51.1%
1 142
 
10.1%
2 84
 
6.0%
- 75
 
5.3%
3 68
 
4.8%
6 45
 
3.2%
7 43
 
3.1%
0 43
 
3.1%
4 40
 
2.8%
5 40
 
2.8%
Other values (6) 107
 
7.6%
Hangul
ValueCountFrequency (%)
영 281
12.4%
월 278
12.2%
도 199
 
8.8%
강 195
 
8.6%
원 184
 
8.1%
군 173
 
7.6%
로 130
 
5.7%
읍 97
 
4.3%
면 76
 
3.3%
길 47
 
2.1%
Other values (116) 614
27.0%

업소전화번호
Text

MISSING 

Distinct108
Distinct (%)77.1%
Missing58
Missing (%)29.3%
Memory size1.7 KiB
2023-12-12T16:33:40.631813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5785714
Min length1

Characters and Unicode

Total characters1341
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

Unique106 ?
Unique (%)75.7%

Sample

1st row033-372-5765
2nd row033-378-5965
3rd row033-373-0034
4th row033-370-2558
5th row033-374-9818
ValueCountFrequency (%)
31
 
22.1%
033-254-7095 3
 
2.1%
033-375-5050 1
 
0.7%
033-374-3741 1
 
0.7%
033-373-2806 1
 
0.7%
033-373-9500 1
 
0.7%
033-372-3690 1
 
0.7%
033-378-3105 1
 
0.7%
033-374-9536 1
 
0.7%
033-374-3246 1
 
0.7%
Other values (98) 98
70.0%
2023-12-12T16:33:41.005465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 373
27.8%
- 249
18.6%
0 173
12.9%
7 153
11.4%
2 81
 
6.0%
4 81
 
6.0%
5 71
 
5.3%
9 54
 
4.0%
1 43
 
3.2%
8 36
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1092
81.4%
Dash Punctuation 249
 
18.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 373
34.2%
0 173
15.8%
7 153
14.0%
2 81
 
7.4%
4 81
 
7.4%
5 71
 
6.5%
9 54
 
4.9%
1 43
 
3.9%
8 36
 
3.3%
6 27
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 373
27.8%
- 249
18.6%
0 173
12.9%
7 153
11.4%
2 81
 
6.0%
4 81
 
6.0%
5 71
 
5.3%
9 54
 
4.0%
1 43
 
3.2%
8 36
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 373
27.8%
- 249
18.6%
0 173
12.9%
7 153
11.4%
2 81
 
6.0%
4 81
 
6.0%
5 71
 
5.3%
9 54
 
4.0%
1 43
 
3.2%
8 36
 
2.7%

지정일자
Date

Distinct181
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1975-11-20 00:00:00
Maximum2019-02-12 00:00:00
2023-12-12T16:33:41.147637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:33:41.274315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
개인
138 
-
50 
법인
 
10

Length

Max length2
Median length2
Mean length1.7474747
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 138
69.7%
- 50
 
25.3%
법인 10
 
5.1%

Length

2023-12-12T16:33:41.416010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:41.554404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 138
69.7%
50
 
25.3%
법인 10
 
5.1%

비고
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
-
196 
수제담배
 
1
전자담배
 
1

Length

Max length4
Median length1
Mean length1.030303
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 196
99.0%
수제담배 1
 
0.5%
전자담배 1
 
0.5%

Length

2023-12-12T16:33:41.700708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:41.830468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
196
99.0%
수제담배 1
 
0.5%
전자담배 1
 
0.5%

Interactions

2023-12-12T16:33:36.213100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:33:41.938610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호민원구분법인구분비고
번호1.0000.1720.7170.055
민원구분0.1721.0000.1490.000
법인구분0.7170.1491.0000.000
비고0.0550.0000.0001.000
2023-12-12T16:33:42.095886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고민원구분법인구분
비고1.0000.0000.000
민원구분0.0001.0000.245
법인구분0.0000.2451.000
2023-12-12T16:33:42.194010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호민원구분법인구분비고
번호1.0000.1280.5670.028
민원구분0.1281.0000.2450.000
법인구분0.5670.2451.0000.000
비고0.0280.0000.0001.000

Missing values

2023-12-12T16:33:36.338222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:33:36.487569image/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

번호대표자명민원구분업소명업소지번주소업소도로명주소업소전화번호지정일자법인구분비고
01이임하일반소매인파주식당강원도 영월군 주천면 주천리 1241번지 11호강원도 영월군 주천면 주천로 89<NA>2019-02-12개인-
12진희원구내소매인GS25영월스타점강원도 영월군 영월읍 하송리 382번지 12호강원도 영월군 영월읍 하송로 120<NA>2019-01-07개인-
23윤옥동일반소매인황금슈퍼강원도 영월군 한반도면 쌍용리 산 123번지 9호강원도 영월군 한반도면 쌍용로 202-1033-372-57652018-12-24개인-
34안창훈일반소매인씨유 영월주천점강원도 영월군 주천면 주천리 1232번지 4호강원도 영월군 주천면 주천시장길 22<NA>2018-11-12개인-
45차승미일반소매인판운쉼터강원도 영월군 주천면 판운리 488번지 3호강원도 영월군 주천면 송학주천로 2141<NA>2018-10-23개인-
56하희원일반소매인세븐일레븐 영월코아루점강원도 영월군 영월읍 덕포리 797번지강원도 영월군 영월읍 덕포하리2길 70. 상가동 1층 101호<NA>2018-10-18개인-
67우혜경일반소매인나그네쉼터강원도 영월군 김삿갓면 대야리 823번지 3호강원도 영월군 김삿갓면 영월동로 1278<NA>2018-09-28개인-
78유기환일반소매인세븐일레븐 영월중동점강원도 영월군 중동면 연상리 50번지 3호강원도 영월군 중동면 영월로 3804-1033-378-59652018-08-03개인-
89채희현일반소매인씨유(CU) 영월둥글바위점강원도 영월군 영월읍 삼옥리 1605번지 2호강원도 영월군 영월읍 동강로 226<NA>2018-07-30개인-
910박숙자일반소매인먹골매점강원도 영월군 영월읍 삼옥리 300번지 1호강원도 영월군 영월읍 동강로 630<NA>2018-05-03개인-
번호대표자명민원구분업소명업소지번주소업소도로명주소업소전화번호지정일자법인구분비고
188189김옥자일반소매인버드나무집강원도 영월군 주천면 용석리 1103호강원도 영월군 주천면 금용길 364-1996-10-04--
189190최금순일반소매인순금당강원도 영월군 영월읍 영흥리 호 3통--1996-10-04--
190191배덕환구내소매인영내강원도 영월군 상동읍 천평리 호--1996-03-25--
191192이윤자일반소매인하동상회강원도 영월군 중동면 녹전리 797호--1991-12-19--
192193김영순일반소매인터미널상회강원도 영월군 상동읍 구래리 98호-033-378-37191991-10-24--
193194신금녀일반소매인문곡상점(삼거리상회)강원도 영월군 북면 문곡리 367번지 2호강원도 영월군 북면 원동재로 511033-372-37911988-03-18개인-
194195정종철일반소매인석항마트강원도 영월군 중동면 연상리 65번지 2호강원도 영월군 중동면 영월로 3823-1986-04-22개인-
195196박순덕일반소매인은창연쇄점강원도 영월군 영월읍 덕포리 593번지 16호강원도 영월군 영월읍 중앙로 179-1984-01-19개인-
196197이재희일반소매인성진상회강원도 영월군 영월읍 영흥리 945번지 31호 5통 8반강원도 영월군 영월읍 중앙로 41033-374-28342000-09-02--
197198이창모일반소매인종점상회강원도 영월군 무릉도원면 법흥리 522번지 1호강원도 영월군 수주면 백년계곡길 15-3-1975-11-20개인-