Overview

Dataset statistics

Number of variables9
Number of observations315
Missing cells437
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.6 KiB
Average record size in memory73.4 B

Variable types

Numeric1
Text5
DateTime1
Categorical2

Dataset

Description충청북도 괴산군 담배소매인 지정 현황 데이터로 대표자명, 업소명, 주소, 전화번호, 지정일자, 데이터기준일 등의 데이터를 제공합니다.
Author충청북도 괴산군
URLhttps://www.data.go.kr/data/15035491/fileData.do

Alerts

데이터기준일 has constant value ""Constant
업소명 has 67 (21.3%) missing valuesMissing
업소지번주소 has 52 (16.5%) missing valuesMissing
업소도로명주소 has 138 (43.8%) missing valuesMissing
업소전화번호 has 180 (57.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:12:31.962039
Analysis finished2023-12-12 15:12:32.962442
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.03175
Minimum1
Maximum321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T00:12:33.046345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.7
Q179.5
median159
Q3238.5
95-th percentile301.3
Maximum321
Range320
Interquartile range (IQR)159

Descriptive statistics

Standard deviation91.826923
Coefficient of variation (CV)0.57741253
Kurtosis-1.1959632
Mean159.03175
Median Absolute Deviation (MAD)80
Skewness0.0025757578
Sum50095
Variance8432.1837
MonotonicityStrictly increasing
2023-12-13T00:12:33.196693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
210 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
209 1
 
0.3%
Other values (305) 305
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
321 1
0.3%
320 1
0.3%
318 1
0.3%
315 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%

대표자명
Text

Distinct303
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T00:12:33.588132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.4190476
Min length2

Characters and Unicode

Total characters1077
Distinct characters182
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

Unique295 ?
Unique (%)93.7%

Sample

1st row이점자
2nd row김경숙
3rd row이슬기
4th row한채훈
5th row김영준
ValueCountFrequency (%)
국군복지단 5
 
1.5%
대전지원본부 5
 
1.5%
군자농업협동조합 3
 
0.9%
이상희 2
 
0.6%
진응봉 2
 
0.6%
김명순 2
 
0.6%
김영희 2
 
0.6%
불정단위농협 2
 
0.6%
윤병열 2
 
0.6%
이순자 1
 
0.3%
Other values (300) 300
92.0%
2023-12-13T00:12:34.146152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 70
 
6.5%
이 48
 
4.5%
순 34
 
3.2%
영 32
 
3.0%
정 28
 
2.6%
자 27
 
2.5%
희 21
 
1.9%
최 20
 
1.9%
옥 19
 
1.8%
숙 18
 
1.7%
Other values (172) 760
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1061
98.5%
Space Separator 11
 
1.0%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 70
 
6.6%
이 48
 
4.5%
순 34
 
3.2%
영 32
 
3.0%
정 28
 
2.6%
자 27
 
2.5%
희 21
 
2.0%
최 20
 
1.9%
옥 19
 
1.8%
숙 18
 
1.7%
Other values (168) 744
70.1%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1061
98.5%
Common 16
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 70
 
6.6%
이 48
 
4.5%
순 34
 
3.2%
영 32
 
3.0%
정 28
 
2.6%
자 27
 
2.5%
희 21
 
2.0%
최 20
 
1.9%
옥 19
 
1.8%
숙 18
 
1.7%
Other values (168) 744
70.1%
Common
ValueCountFrequency (%)
11
68.8%
( 2
 
12.5%
) 2
 
12.5%
1 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1061
98.5%
ASCII 16
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 70
 
6.6%
이 48
 
4.5%
순 34
 
3.2%
영 32
 
3.0%
정 28
 
2.6%
자 27
 
2.5%
희 21
 
2.0%
최 20
 
1.9%
옥 19
 
1.8%
숙 18
 
1.7%
Other values (168) 744
70.1%
ASCII
ValueCountFrequency (%)
11
68.8%
( 2
 
12.5%
) 2
 
12.5%
1 1
 
6.2%

업소명
Text

MISSING 

Distinct241
Distinct (%)97.2%
Missing67
Missing (%)21.3%
Memory size2.6 KiB
2023-12-13T00:12:34.453606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length6.0241935
Min length1

Characters and Unicode

Total characters1494
Distinct characters298
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

Unique236 ?
Unique (%)95.2%

Sample

1st row산막이횟집
2nd row도정마트
3rd row여름 까페&펜션
4th row금대주유소
5th row태성차부슈퍼
ValueCountFrequency (%)
세븐일레븐 6
 
2.0%
삼거리슈퍼 4
 
1.3%
씨유 3
 
1.0%
운곡상회 2
 
0.7%
쌍곡주유소 2
 
0.7%
천군마트 2
 
0.7%
휴게소 2
 
0.7%
연쇄점 2
 
0.7%
하나로마트 2
 
0.7%
마을 2
 
0.7%
Other values (266) 271
90.9%
2023-12-13T00:12:34.887097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
3.3%
산 48
 
3.2%
점 42
 
2.8%
소 42
 
2.8%
퍼 36
 
2.4%
마 36
 
2.4%
슈 35
 
2.3%
괴 26
 
1.7%
게 26
 
1.7%
트 26
 
1.7%
Other values (288) 1127
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1391
93.1%
Space Separator 50
 
3.3%
Decimal Number 17
 
1.1%
Uppercase Letter 15
 
1.0%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 48
 
3.5%
점 42
 
3.0%
소 42
 
3.0%
퍼 36
 
2.6%
마 36
 
2.6%
슈 35
 
2.5%
괴 26
 
1.9%
게 26
 
1.9%
트 26
 
1.9%
휴 25
 
1.8%
Other values (271) 1049
75.4%
Decimal Number
ValueCountFrequency (%)
2 6
35.3%
5 5
29.4%
0 2
 
11.8%
1 2
 
11.8%
3 1
 
5.9%
4 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
G 4
26.7%
S 4
26.7%
C 3
20.0%
U 2
13.3%
D 2
13.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1391
93.1%
Common 88
 
5.9%
Latin 15
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 48
 
3.5%
점 42
 
3.0%
소 42
 
3.0%
퍼 36
 
2.6%
마 36
 
2.6%
슈 35
 
2.5%
괴 26
 
1.9%
게 26
 
1.9%
트 26
 
1.9%
휴 25
 
1.8%
Other values (271) 1049
75.4%
Common
ValueCountFrequency (%)
50
56.8%
) 9
 
10.2%
( 9
 
10.2%
2 6
 
6.8%
5 5
 
5.7%
0 2
 
2.3%
1 2
 
2.3%
3 1
 
1.1%
- 1
 
1.1%
4 1
 
1.1%
Other values (2) 2
 
2.3%
Latin
ValueCountFrequency (%)
G 4
26.7%
S 4
26.7%
C 3
20.0%
U 2
13.3%
D 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1391
93.1%
ASCII 103
 
6.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
48.5%
) 9
 
8.7%
( 9
 
8.7%
2 6
 
5.8%
5 5
 
4.9%
G 4
 
3.9%
S 4
 
3.9%
C 3
 
2.9%
U 2
 
1.9%
0 2
 
1.9%
Other values (7) 9
 
8.7%
Hangul
ValueCountFrequency (%)
산 48
 
3.5%
점 42
 
3.0%
소 42
 
3.0%
퍼 36
 
2.6%
마 36
 
2.6%
슈 35
 
2.5%
괴 26
 
1.9%
게 26
 
1.9%
트 26
 
1.9%
휴 25
 
1.8%
Other values (271) 1049
75.4%

업소지번주소
Text

MISSING 

Distinct240
Distinct (%)91.3%
Missing52
Missing (%)16.5%
Memory size2.6 KiB
2023-12-13T00:12:35.204697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length24.04943
Min length19

Characters and Unicode

Total characters6325
Distinct characters148
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)87.1%

Sample

1st row충청북도 괴산군 괴산읍 대덕리 585번지 수산식품산업거점단지 식당동
2nd row충청북도 괴산군 칠성면 도정리 127번지 6호
3rd row충청북도 괴산군 청천면 송면리 52번지
4th row충청북도 괴산군 연풍면 갈금리 255번지 13호 금대주유소
5th row충청북도 괴산군 칠성면 태성리 395번지 19호
ValueCountFrequency (%)
충청북도 263
 
17.7%
괴산군 263
 
17.7%
괴산읍 70
 
4.7%
청천면 58
 
3.9%
동부리 35
 
2.4%
연풍면 26
 
1.7%
1호 24
 
1.6%
칠성면 24
 
1.6%
청안면 21
 
1.4%
호 17
 
1.1%
Other values (361) 688
46.2%
2023-12-13T00:12:35.641186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1246
19.7%
청 359
 
5.7%
산 340
 
5.4%
괴 333
 
5.3%
도 280
 
4.4%
리 274
 
4.3%
충 264
 
4.2%
북 264
 
4.2%
군 263
 
4.2%
호 237
 
3.7%
Other values (138) 2465
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4057
64.1%
Space Separator 1246
 
19.7%
Decimal Number 961
 
15.2%
Dash Punctuation 52
 
0.8%
Uppercase Letter 8
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 359
 
8.8%
산 340
 
8.4%
괴 333
 
8.2%
도 280
 
6.9%
리 274
 
6.8%
충 264
 
6.5%
북 264
 
6.5%
군 263
 
6.5%
호 237
 
5.8%
면 199
 
4.9%
Other values (120) 1244
30.7%
Decimal Number
ValueCountFrequency (%)
1 173
18.0%
2 161
16.8%
5 106
11.0%
6 96
10.0%
4 90
9.4%
3 75
7.8%
7 68
 
7.1%
8 67
 
7.0%
9 63
 
6.6%
0 62
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
P 2
25.0%
A 2
25.0%
T 2
25.0%
I 1
12.5%
C 1
12.5%
Space Separator
ValueCountFrequency (%)
1246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4057
64.1%
Common 2260
35.7%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 359
 
8.8%
산 340
 
8.4%
괴 333
 
8.2%
도 280
 
6.9%
리 274
 
6.8%
충 264
 
6.5%
북 264
 
6.5%
군 263
 
6.5%
호 237
 
5.8%
면 199
 
4.9%
Other values (120) 1244
30.7%
Common
ValueCountFrequency (%)
1246
55.1%
1 173
 
7.7%
2 161
 
7.1%
5 106
 
4.7%
6 96
 
4.2%
4 90
 
4.0%
3 75
 
3.3%
7 68
 
3.0%
8 67
 
3.0%
9 63
 
2.8%
Other values (3) 115
 
5.1%
Latin
ValueCountFrequency (%)
P 2
25.0%
A 2
25.0%
T 2
25.0%
I 1
12.5%
C 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4057
64.1%
ASCII 2268
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1246
54.9%
1 173
 
7.6%
2 161
 
7.1%
5 106
 
4.7%
6 96
 
4.2%
4 90
 
4.0%
3 75
 
3.3%
7 68
 
3.0%
8 67
 
3.0%
9 63
 
2.8%
Other values (8) 123
 
5.4%
Hangul
ValueCountFrequency (%)
청 359
 
8.8%
산 340
 
8.4%
괴 333
 
8.2%
도 280
 
6.9%
리 274
 
6.8%
충 264
 
6.5%
북 264
 
6.5%
군 263
 
6.5%
호 237
 
5.8%
면 199
 
4.9%
Other values (120) 1244
30.7%

업소도로명주소
Text

MISSING 

Distinct173
Distinct (%)97.7%
Missing138
Missing (%)43.8%
Memory size2.6 KiB
2023-12-13T00:12:36.104066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length22.389831
Min length18

Characters and Unicode

Total characters3963
Distinct characters168
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

Unique170 ?
Unique (%)96.0%

Sample

1st row충청북도 괴산군 괴산읍 쏘가리길 46. 수산식품산업거점단지 식당동
2nd row충청북도 괴산군 칠성면 도정로 88
3rd row충청북도 괴산군 청천면 송문로 65
4th row충청북도 괴산군 연풍면 연풍로 805. 금대주유소
5th row충청북도 괴산군 칠성면 연풍로 269
ValueCountFrequency (%)
충청북도 177
19.1%
괴산군 177
19.1%
괴산읍 54
 
5.8%
청천면 39
 
4.2%
칠성면 22
 
2.4%
연풍면 16
 
1.7%
괴산로 12
 
1.3%
청안면 11
 
1.2%
사리면 9
 
1.0%
괴강로 9
 
1.0%
Other values (266) 402
43.3%
2023-12-13T00:12:36.827681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
753
19.0%
괴 256
 
6.5%
산 255
 
6.4%
청 231
 
5.8%
도 191
 
4.8%
충 182
 
4.6%
군 178
 
4.5%
북 177
 
4.5%
로 140
 
3.5%
1 133
 
3.4%
Other values (158) 1467
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2551
64.4%
Space Separator 753
 
19.0%
Decimal Number 575
 
14.5%
Dash Punctuation 33
 
0.8%
Other Punctuation 21
 
0.5%
Close Punctuation 13
 
0.3%
Open Punctuation 13
 
0.3%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
괴 256
 
10.0%
산 255
 
10.0%
청 231
 
9.1%
도 191
 
7.5%
충 182
 
7.1%
군 178
 
7.0%
북 177
 
6.9%
로 140
 
5.5%
면 123
 
4.8%
읍 85
 
3.3%
Other values (138) 733
28.7%
Decimal Number
ValueCountFrequency (%)
1 133
23.1%
2 86
15.0%
3 78
13.6%
4 58
10.1%
5 53
 
9.2%
6 41
 
7.1%
7 41
 
7.1%
8 33
 
5.7%
0 32
 
5.6%
9 20
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
T 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 20
95.2%
@ 1
 
4.8%
Space Separator
ValueCountFrequency (%)
753
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2551
64.4%
Common 1408
35.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
괴 256
 
10.0%
산 255
 
10.0%
청 231
 
9.1%
도 191
 
7.5%
충 182
 
7.1%
군 178
 
7.0%
북 177
 
6.9%
로 140
 
5.5%
면 123
 
4.8%
읍 85
 
3.3%
Other values (138) 733
28.7%
Common
ValueCountFrequency (%)
753
53.5%
1 133
 
9.4%
2 86
 
6.1%
3 78
 
5.5%
4 58
 
4.1%
5 53
 
3.8%
6 41
 
2.9%
7 41
 
2.9%
8 33
 
2.3%
- 33
 
2.3%
Other values (6) 99
 
7.0%
Latin
ValueCountFrequency (%)
A 1
25.0%
P 1
25.0%
T 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2551
64.4%
ASCII 1412
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
753
53.3%
1 133
 
9.4%
2 86
 
6.1%
3 78
 
5.5%
4 58
 
4.1%
5 53
 
3.8%
6 41
 
2.9%
7 41
 
2.9%
8 33
 
2.3%
- 33
 
2.3%
Other values (10) 103
 
7.3%
Hangul
ValueCountFrequency (%)
괴 256
 
10.0%
산 255
 
10.0%
청 231
 
9.1%
도 191
 
7.5%
충 182
 
7.1%
군 178
 
7.0%
북 177
 
6.9%
로 140
 
5.5%
면 123
 
4.8%
읍 85
 
3.3%
Other values (138) 733
28.7%

업소전화번호
Text

MISSING 

Distinct134
Distinct (%)99.3%
Missing180
Missing (%)57.1%
Memory size2.6 KiB
2023-12-13T00:12:37.182137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.007407
Min length12

Characters and Unicode

Total characters1621
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

Unique133 ?
Unique (%)98.5%

Sample

1st row043-832-9288
2nd row043-832-1202
3rd row043-834-2254
4th row043-833-4488
5th row043-832-7930
ValueCountFrequency (%)
042-878-7972 2
 
1.5%
043-832-8138 1
 
0.7%
043-833-8026 1
 
0.7%
043-832-5101 1
 
0.7%
043-838-2191 1
 
0.7%
043-833-8406 1
 
0.7%
043-833-2303 1
 
0.7%
043-833-1233 1
 
0.7%
043-832-7965 1
 
0.7%
043-833-8830 1
 
0.7%
Other values (124) 124
91.9%
2023-12-13T00:12:37.632319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 345
21.3%
- 270
16.7%
0 211
13.0%
4 203
12.5%
8 193
11.9%
2 117
 
7.2%
7 61
 
3.8%
6 60
 
3.7%
5 58
 
3.6%
9 56
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1351
83.3%
Dash Punctuation 270
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 345
25.5%
0 211
15.6%
4 203
15.0%
8 193
14.3%
2 117
 
8.7%
7 61
 
4.5%
6 60
 
4.4%
5 58
 
4.3%
9 56
 
4.1%
1 47
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1621
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 345
21.3%
- 270
16.7%
0 211
13.0%
4 203
12.5%
8 193
11.9%
2 117
 
7.2%
7 61
 
3.8%
6 60
 
3.7%
5 58
 
3.6%
9 56
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1621
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 345
21.3%
- 270
16.7%
0 211
13.0%
4 203
12.5%
8 193
11.9%
2 117
 
7.2%
7 61
 
3.8%
6 60
 
3.7%
5 58
 
3.6%
9 56
 
3.5%

지정일자
Date

Distinct285
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1990-07-28 00:00:00
Maximum2019-03-20 00:00:00
2023-12-13T00:12:37.805779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:12:37.978003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
개인
152 
<NA>
147 
법인
16 

Length

Max length4
Median length2
Mean length2.9333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 152
48.3%
<NA> 147
46.7%
법인 16
 
5.1%

Length

2023-12-13T00:12:38.168600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:12:38.273311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 152
48.3%
na 147
46.7%
법인 16
 
5.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2021-09-27
315 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-27
2nd row2021-09-27
3rd row2021-09-27
4th row2021-09-27
5th row2021-09-27

Common Values

ValueCountFrequency (%)
2021-09-27 315
100.0%

Length

2023-12-13T00:12:38.389840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:12:38.478859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-27 315
100.0%

Interactions

2023-12-13T00:12:32.475147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:12:38.531371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법인구분
연번1.0000.159
법인구분0.1591.000
2023-12-13T00:12:38.613490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법인구분
연번1.0000.155
법인구분0.1551.000

Missing values

2023-12-13T00:12:32.590758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:12:32.727110image/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.
2023-12-13T00:12:32.861914image/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

연번대표자명업소명업소지번주소업소도로명주소업소전화번호지정일자법인구분데이터기준일
01이점자산막이횟집충청북도 괴산군 괴산읍 대덕리 585번지 수산식품산업거점단지 식당동충청북도 괴산군 괴산읍 쏘가리길 46. 수산식품산업거점단지 식당동043-832-92882019-03-20개인2021-09-27
12김경숙도정마트충청북도 괴산군 칠성면 도정리 127번지 6호충청북도 괴산군 칠성면 도정로 88043-832-12022019-03-18개인2021-09-27
23이슬기여름 까페&펜션충청북도 괴산군 청천면 송면리 52번지충청북도 괴산군 청천면 송문로 65<NA>2019-02-15개인2021-09-27
34한채훈금대주유소충청북도 괴산군 연풍면 갈금리 255번지 13호 금대주유소충청북도 괴산군 연풍면 연풍로 805. 금대주유소043-834-22542019-01-17개인2021-09-27
45김영준태성차부슈퍼충청북도 괴산군 칠성면 태성리 395번지 19호충청북도 괴산군 칠성면 연풍로 269<NA>2019-01-09개인2021-09-27
56최연옥대영낚시충청북도 괴산군 괴산읍 동부리 637번지 9호충청북도 괴산군 괴산읍 괴강로 6043-833-44882019-01-07개인2021-09-27
67유성환CU괴산점충청북도 괴산군 괴산읍 동부리 667번지 17호충청북도 괴산군 괴산읍 읍내로2길 55-4043-832-79302018-12-18개인2021-09-27
78김영달하모니마트(청천점)충청북도 괴산군 청천면 청천리 118번지 2호충청북도 괴산군 청천면 청천7길 1<NA>2018-12-07개인2021-09-27
89장이선(주)쿱스토어 대전충청 괴산자연드림파크점충청북도 괴산군 칠성면 율원리 산 4번지 7호 지원센터충청북도 괴산군 칠성면 자연드림길 240. 지원센터 C동 2층043-760-88002018-11-06법인2021-09-27
910농업회사법인 주식회사 건강한 채소오가닉메이커협동조합 괴산자연드림파크식당충청북도 괴산군 괴산읍 능촌리 1075번지 식품산업육성지원센터충청북도 괴산군 괴산읍 자연식품1길 14. 식품산업육성지원센터043-760-87002018-11-06법인2021-09-27
연번대표자명업소명업소지번주소업소도로명주소업소전화번호지정일자법인구분데이터기준일
305308김창식<NA>충청북도 괴산군 청천면 화양리 90호<NA><NA>1991-06-25<NA>2021-09-27
306309김원숙<NA>충청북도 괴산군 장연면 방곡리 89-1호<NA><NA>1991-06-25<NA>2021-09-27
307310서정구은성휴게소충청북도 괴산군 청천면 관평리 20호<NA><NA>1991-06-05<NA>2021-09-27
308311이상희<NA>충청북도 괴산군 괴산읍 서부리 270-8호<NA><NA>1991-05-22<NA>2021-09-27
309312조만식향토가든휴게소충청북도 괴산군 감물면 오성리 55-1호<NA><NA>1991-05-22<NA>2021-09-27
310313여명원경원전자비디오충청북도 괴산군 괴산읍 동부리 657-12호<NA><NA>1991-03-01<NA>2021-09-27
311315장춘미<NA>충청북도 괴산군 괴산읍 서부리 757호충청북도 괴산군 괴산읍 임꺽정로 132-8<NA>1990-12-22<NA>2021-09-27
312318권혁수삼관문식당충청북도 괴산군 연풍면 원풍리 1-9호<NA><NA>1990-09-14<NA>2021-09-27
313320정해인<NA>충청북도 괴산군 도안면 광덕리 491-1호<NA><NA>1990-07-28<NA>2021-09-27
314321노영석<NA>충청북도 괴산군 연풍면 행촌리 755호<NA><NA>1990-07-28<NA>2021-09-27