Overview

Dataset statistics

Number of variables9
Number of observations168
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory74.8 B

Variable types

Numeric2
Text4
Categorical2
DateTime1

Dataset

Description전라남도 담양군 담배소매인 지정 현황(지정번호, 대표자명, 업소명, 업소주소, 지정일자)등에 대한 정보를 제공하고 있으며, 공공데이터포털에 제공하는 데이터는 기관승인 없이 무료로 활용이 가능합니다.
Author전라남도 담양군
URLhttps://www.data.go.kr/data/15035631/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
우편번호 has 3 (1.8%) missing valuesMissing
연번 has unique valuesUnique
지정번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:00:38.013854
Analysis finished2023-12-12 14:00:38.953282
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.5
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:00:39.013939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.35
Q142.75
median84.5
Q3126.25
95-th percentile159.65
Maximum168
Range167
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation48.641546
Coefficient of variation (CV)0.5756396
Kurtosis-1.2
Mean84.5
Median Absolute Deviation (MAD)42
Skewness0
Sum14196
Variance2366
MonotonicityStrictly increasing
2023-12-12T23:00:39.130517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
117 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%
115 1
 
0.6%
116 1
 
0.6%
Other values (158) 158
94.0%
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 (%)
168 1
0.6%
167 1
0.6%
166 1
0.6%
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%

지정번호
Text

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:00:39.319149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters3864
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

Unique168 ?
Unique (%)100.0%

Sample

1st row1976-4850010-05-6-00446
2nd row1979-4850010-05-6-00404
3rd row1980-4850010-05-6-00484
4th row1980-4850010-05-6-00447
5th row1980-4850010-05-6-00365
ValueCountFrequency (%)
1976-4850010-05-6-00446 1
 
0.6%
2019-4850144-05-6-00012 1
 
0.6%
2020-4850144-05-6-00013 1
 
0.6%
2018-4850115-05-6-00007 1
 
0.6%
2018-4850144-05-6-00010 1
 
0.6%
2018-4850144-05-6-00011 1
 
0.6%
2019-4850144-05-6-00002 1
 
0.6%
2019-4850144-05-6-00003 1
 
0.6%
2019-4850144-05-6-00005 1
 
0.6%
2019-4850144-05-6-00010 1
 
0.6%
Other values (158) 158
94.0%
2023-12-12T23:00:39.612042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1201
31.1%
- 672
17.4%
5 429
 
11.1%
1 366
 
9.5%
4 305
 
7.9%
2 256
 
6.6%
8 238
 
6.2%
6 234
 
6.1%
9 75
 
1.9%
3 52
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3192
82.6%
Dash Punctuation 672
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1201
37.6%
5 429
 
13.4%
1 366
 
11.5%
4 305
 
9.6%
2 256
 
8.0%
8 238
 
7.5%
6 234
 
7.3%
9 75
 
2.3%
3 52
 
1.6%
7 36
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 672
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3864
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1201
31.1%
- 672
17.4%
5 429
 
11.1%
1 366
 
9.5%
4 305
 
7.9%
2 256
 
6.6%
8 238
 
6.2%
6 234
 
6.1%
9 75
 
1.9%
3 52
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1201
31.1%
- 672
17.4%
5 429
 
11.1%
1 366
 
9.5%
4 305
 
7.9%
2 256
 
6.6%
8 238
 
6.2%
6 234
 
6.1%
9 75
 
1.9%
3 52
 
1.3%

대표자명
Categorical

Distinct38
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
김**
43 
이**
17 
박**
17 
최**
8 
정**
8 
Other values (33)
75 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique15 ?
Unique (%)8.9%

Sample

1st row임**
2nd row최**
3rd row양**
4th row김**
5th row나**

Common Values

ValueCountFrequency (%)
김** 43
25.6%
이** 17
 
10.1%
박** 17
 
10.1%
최** 8
 
4.8%
정** 8
 
4.8%
임** 7
 
4.2%
문** 6
 
3.6%
강** 6
 
3.6%
국** 5
 
3.0%
나** 4
 
2.4%
Other values (28) 47
28.0%

Length

2023-12-12T23:00:39.738536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김 43
25.6%
박 17
 
10.1%
이 17
 
10.1%
최 8
 
4.8%
정 8
 
4.8%
임 7
 
4.2%
문 6
 
3.6%
강 6
 
3.6%
국 5
 
3.0%
조 4
 
2.4%
Other values (28) 47
28.0%

업소명
Text

Distinct167
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:00:40.012833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length7.2857143
Min length2

Characters and Unicode

Total characters1224
Distinct characters258
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

Unique166 ?
Unique (%)98.8%

Sample

1st row한아름상회
2nd row서점상회
3rd row수북농업협동조합
4th row담양농업협동조합용면지점
5th row무정 농업협동조합
ValueCountFrequency (%)
세븐일레븐 6
 
2.6%
씨유 5
 
2.2%
이마트24 5
 
2.2%
주식회사 4
 
1.7%
카페 4
 
1.7%
슈퍼 3
 
1.3%
지에스25 3
 
1.3%
담양수북점 2
 
0.9%
담양농협 2
 
0.9%
담양백동점 2
 
0.9%
Other values (188) 196
84.5%
2023-12-12T23:00:40.516700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
5.2%
점 48
 
3.9%
담 47
 
3.8%
양 46
 
3.8%
마 34
 
2.8%
트 33
 
2.7%
회 23
 
1.9%
대 20
 
1.6%
퍼 19
 
1.6%
상 18
 
1.5%
Other values (248) 872
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1051
85.9%
Space Separator 64
 
5.2%
Decimal Number 40
 
3.3%
Uppercase Letter 20
 
1.6%
Lowercase Letter 16
 
1.3%
Close Punctuation 14
 
1.1%
Open Punctuation 14
 
1.1%
Other Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 48
 
4.6%
담 47
 
4.5%
양 46
 
4.4%
마 34
 
3.2%
트 33
 
3.1%
회 23
 
2.2%
대 20
 
1.9%
퍼 19
 
1.8%
상 18
 
1.7%
농 18
 
1.7%
Other values (217) 745
70.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
f 2
12.5%
a 2
12.5%
s 2
12.5%
d 1
 
6.2%
t 1
 
6.2%
c 1
 
6.2%
r 1
 
6.2%
n 1
 
6.2%
i 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
35.0%
G 4
20.0%
U 3
15.0%
S 2
 
10.0%
R 1
 
5.0%
O 1
 
5.0%
V 1
 
5.0%
P 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 13
32.5%
5 8
20.0%
4 7
17.5%
0 5
 
12.5%
1 4
 
10.0%
3 2
 
5.0%
7 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
? 1
33.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1051
85.9%
Common 137
 
11.2%
Latin 36
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 48
 
4.6%
담 47
 
4.5%
양 46
 
4.4%
마 34
 
3.2%
트 33
 
3.1%
회 23
 
2.2%
대 20
 
1.9%
퍼 19
 
1.8%
상 18
 
1.7%
농 18
 
1.7%
Other values (217) 745
70.9%
Latin
ValueCountFrequency (%)
C 7
19.4%
e 4
11.1%
G 4
11.1%
U 3
 
8.3%
S 2
 
5.6%
f 2
 
5.6%
a 2
 
5.6%
s 2
 
5.6%
d 1
 
2.8%
R 1
 
2.8%
Other values (8) 8
22.2%
Common
ValueCountFrequency (%)
64
46.7%
) 14
 
10.2%
( 14
 
10.2%
2 13
 
9.5%
5 8
 
5.8%
4 7
 
5.1%
0 5
 
3.6%
1 4
 
2.9%
. 2
 
1.5%
- 2
 
1.5%
Other values (3) 4
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1051
85.9%
ASCII 173
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
37.0%
) 14
 
8.1%
( 14
 
8.1%
2 13
 
7.5%
5 8
 
4.6%
C 7
 
4.0%
4 7
 
4.0%
0 5
 
2.9%
e 4
 
2.3%
1 4
 
2.3%
Other values (21) 33
19.1%
Hangul
ValueCountFrequency (%)
점 48
 
4.6%
담 47
 
4.5%
양 46
 
4.4%
마 34
 
3.2%
트 33
 
3.1%
회 23
 
2.2%
대 20
 
1.9%
퍼 19
 
1.8%
상 18
 
1.7%
농 18
 
1.7%
Other values (217) 745
70.9%

업소지번주소
Text

Distinct146
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:00:40.868135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length20.39881
Min length1

Characters and Unicode

Total characters3427
Distinct characters114
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

Unique144 ?
Unique (%)85.7%

Sample

1st row전라남도 담양군 용면 추성리 560-1
2nd row전라남도 담양군 대전면 대치리 833번지 2 호
3rd row전라남도 담양군 수북면 수북리 227번지
4th row전라남도 담양군 용면 추성리 443-1
5th row전라남도 담양군 무정면 봉안리 643호
ValueCountFrequency (%)
전라남도 146
 
18.1%
담양군 146
 
18.1%
담양읍 69
 
8.6%
창평면 12
 
1.5%
학동리 11
 
1.4%
지침리 11
 
1.4%
고서면 11
 
1.4%
대전면 11
 
1.4%
천변리 10
 
1.2%
1호 9
 
1.1%
Other values (244) 369
45.8%
2023-12-12T23:00:41.383129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
697
20.3%
담 224
 
6.5%
양 221
 
6.4%
전 158
 
4.6%
남 147
 
4.3%
라 146
 
4.3%
도 146
 
4.3%
군 146
 
4.3%
리 143
 
4.2%
지 84
 
2.5%
Other values (104) 1315
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2156
62.9%
Space Separator 697
 
20.3%
Decimal Number 531
 
15.5%
Dash Punctuation 43
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 224
 
10.4%
양 221
 
10.3%
전 158
 
7.3%
남 147
 
6.8%
라 146
 
6.8%
도 146
 
6.8%
군 146
 
6.8%
리 143
 
6.6%
지 84
 
3.9%
면 77
 
3.6%
Other values (92) 664
30.8%
Decimal Number
ValueCountFrequency (%)
1 82
15.4%
2 79
14.9%
3 62
11.7%
4 59
11.1%
6 55
10.4%
7 46
8.7%
5 44
8.3%
8 38
7.2%
9 36
6.8%
0 30
 
5.6%
Space Separator
ValueCountFrequency (%)
697
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2156
62.9%
Common 1271
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 224
 
10.4%
양 221
 
10.3%
전 158
 
7.3%
남 147
 
6.8%
라 146
 
6.8%
도 146
 
6.8%
군 146
 
6.8%
리 143
 
6.6%
지 84
 
3.9%
면 77
 
3.6%
Other values (92) 664
30.8%
Common
ValueCountFrequency (%)
697
54.8%
1 82
 
6.5%
2 79
 
6.2%
3 62
 
4.9%
4 59
 
4.6%
6 55
 
4.3%
7 46
 
3.6%
5 44
 
3.5%
- 43
 
3.4%
8 38
 
3.0%
Other values (2) 66
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2156
62.9%
ASCII 1271
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
697
54.8%
1 82
 
6.5%
2 79
 
6.2%
3 62
 
4.9%
4 59
 
4.6%
6 55
 
4.3%
7 46
 
3.6%
5 44
 
3.5%
- 43
 
3.4%
8 38
 
3.0%
Other values (2) 66
 
5.2%
Hangul
ValueCountFrequency (%)
담 224
 
10.4%
양 221
 
10.3%
전 158
 
7.3%
남 147
 
6.8%
라 146
 
6.8%
도 146
 
6.8%
군 146
 
6.8%
리 143
 
6.6%
지 84
 
3.9%
면 77
 
3.6%
Other values (92) 664
30.8%

업소도로명주소
Text

Distinct160
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:00:41.754038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length21.059524
Min length1

Characters and Unicode

Total characters3538
Distinct characters139
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

Unique157 ?
Unique (%)93.5%

Sample

1st row전라남도 담양군 용면 추월산로 373
2nd row전라남도 담양군 대전면 추성1로 214
3rd row전라남도 담양군 수북면 한수동로 543
4th row전라남도 담양군 용면 추성2길 2
5th row전라남도 담양군 무정면 무정로 519
ValueCountFrequency (%)
전라남도 161
19.1%
담양군 161
19.1%
담양읍 82
 
9.7%
창평면 12
 
1.4%
고서면 11
 
1.3%
중앙로 10
 
1.2%
추성로 10
 
1.2%
대전면 10
 
1.2%
용면 9
 
1.1%
수북면 8
 
0.9%
Other values (236) 369
43.8%
2023-12-12T23:00:42.257544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
689
19.5%
담 252
 
7.1%
양 246
 
7.0%
전 171
 
4.8%
남 164
 
4.6%
도 163
 
4.6%
군 162
 
4.6%
라 161
 
4.6%
1 132
 
3.7%
로 99
 
2.8%
Other values (129) 1299
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2282
64.5%
Space Separator 689
 
19.5%
Decimal Number 505
 
14.3%
Dash Punctuation 27
 
0.8%
Other Punctuation 21
 
0.6%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 252
 
11.0%
양 246
 
10.8%
전 171
 
7.5%
남 164
 
7.2%
도 163
 
7.1%
군 162
 
7.1%
라 161
 
7.1%
로 99
 
4.3%
읍 82
 
3.6%
면 80
 
3.5%
Other values (112) 702
30.8%
Decimal Number
ValueCountFrequency (%)
1 132
26.1%
2 71
14.1%
3 65
12.9%
0 41
 
8.1%
4 38
 
7.5%
6 35
 
6.9%
5 34
 
6.7%
9 32
 
6.3%
8 32
 
6.3%
7 25
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
689
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2282
64.5%
Common 1254
35.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 252
 
11.0%
양 246
 
10.8%
전 171
 
7.5%
남 164
 
7.2%
도 163
 
7.1%
군 162
 
7.1%
라 161
 
7.1%
로 99
 
4.3%
읍 82
 
3.6%
면 80
 
3.5%
Other values (112) 702
30.8%
Common
ValueCountFrequency (%)
689
54.9%
1 132
 
10.5%
2 71
 
5.7%
3 65
 
5.2%
0 41
 
3.3%
4 38
 
3.0%
6 35
 
2.8%
5 34
 
2.7%
9 32
 
2.6%
8 32
 
2.6%
Other values (5) 85
 
6.8%
Latin
ValueCountFrequency (%)
A 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2282
64.5%
ASCII 1256
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
689
54.9%
1 132
 
10.5%
2 71
 
5.7%
3 65
 
5.2%
0 41
 
3.3%
4 38
 
3.0%
6 35
 
2.8%
5 34
 
2.7%
9 32
 
2.5%
8 32
 
2.5%
Other values (7) 87
 
6.9%
Hangul
ValueCountFrequency (%)
담 252
 
11.0%
양 246
 
10.8%
전 171
 
7.5%
남 164
 
7.2%
도 163
 
7.1%
군 162
 
7.1%
라 161
 
7.1%
로 99
 
4.3%
읍 82
 
3.6%
면 80
 
3.5%
Other values (112) 702
30.8%

우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)36.4%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean65718.467
Minimum57300
Maximum517922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:00:42.802361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57300
5-th percentile57302
Q157332
median57344
Q357362
95-th percentile57389
Maximum517922
Range460622
Interquartile range (IQR)30

Descriptive statistics

Standard deviation61715.386
Coefficient of variation (CV)0.93908742
Kurtosis51.605232
Mean65718.467
Median Absolute Deviation (MAD)16
Skewness7.2787228
Sum10843547
Variance3.8087888 × 109
MonotonicityNot monotonic
2023-12-12T23:00:42.941458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57351 12
 
7.1%
57344 9
 
5.4%
57343 8
 
4.8%
57389 7
 
4.2%
57336 6
 
3.6%
57341 5
 
3.0%
57348 5
 
3.0%
57328 5
 
3.0%
57300 5
 
3.0%
57347 5
 
3.0%
Other values (50) 98
58.3%
ValueCountFrequency (%)
57300 5
3.0%
57301 3
1.8%
57302 4
2.4%
57305 2
 
1.2%
57306 1
 
0.6%
57310 1
 
0.6%
57311 1
 
0.6%
57312 4
2.4%
57314 2
 
1.2%
57316 1
 
0.6%
ValueCountFrequency (%)
517922 1
 
0.6%
517842 1
 
0.6%
517803 1
 
0.6%
57392 3
1.8%
57389 7
4.2%
57387 3
1.8%
57385 4
2.4%
57384 2
 
1.2%
57383 1
 
0.6%
57382 1
 
0.6%

지정일자
Date

Distinct151
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1976-07-01 00:00:00
Maximum2023-06-28 00:00:00
2023-12-12T23:00:43.086074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:43.243797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-09-14
168 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-14
2nd row2023-09-14
3rd row2023-09-14
4th row2023-09-14
5th row2023-09-14

Common Values

ValueCountFrequency (%)
2023-09-14 168
100.0%

Length

2023-12-12T23:00:43.370499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:00:43.481033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-14 168
100.0%

Interactions

2023-12-12T23:00:38.591990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:38.431576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:38.670143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:00:38.515275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:00:43.561228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자명우편번호
연번1.0000.4310.000
대표자명0.4311.0000.416
우편번호0.0000.4161.000
2023-12-12T23:00:43.651879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호대표자명
연번1.000-0.1020.145
우편번호-0.1021.0000.310
대표자명0.1450.3101.000

Missing values

2023-12-12T23:00:38.778213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:00:38.909001image/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

연번지정번호대표자명업소명업소지번주소업소도로명주소우편번호지정일자데이터 기준일자
011976-4850010-05-6-00446임**한아름상회전라남도 담양군 용면 추성리 560-1전라남도 담양군 용면 추월산로 373573021976-07-012023-09-14
121979-4850010-05-6-00404최**서점상회전라남도 담양군 대전면 대치리 833번지 2 호전라남도 담양군 대전면 추성1로 214573281979-05-232023-09-14
231980-4850010-05-6-00484양**수북농업협동조합전라남도 담양군 수북면 수북리 227번지전라남도 담양군 수북면 한수동로 543573181980-12-052023-09-14
341980-4850010-05-6-00447김**담양농업협동조합용면지점전라남도 담양군 용면 추성리 443-1전라남도 담양군 용면 추성2길 2573021980-12-052023-09-14
451980-4850010-05-6-00365나**무정 농업협동조합전라남도 담양군 무정면 봉안리 643호전라남도 담양군 무정면 무정로 519573601980-12-052023-09-14
561980-4850010-05-6-00284박**봉산농업협동조합전라남도 담양군 봉산면 신학리 563-2전라남도 담양군 봉산면 면앙정로 266573671980-12-052023-09-14
671980-4850010-05-6-00237박**창평농업협동조합전라남도 담양군 창평면 창평리 207-2 창평농협 하나로마트전라남도 담양군 창평면 의병로 128. 창평농협 하나로마트573891980-12-052023-09-14
781980-4850010-05-6-00212최**고서농협(남면지점)전라남도 담양군 가사문학면 연천리 443호전라남도 담양군 남면 독수정길 7-8573921980-12-052023-09-14
891980-4850010-05-6-00190박**창평농협 대덕지점전라남도 담양군 대덕면 매산리 71번지 1 호전라남도 담양군 대덕면 대조동1길 2573801980-12-052023-09-14
9101980-4850010-05-6-00174박**삼삼대중음식점전라남도 담양군 고서면 분향리 153-33전라남도 담양군 고서면 분향용대길 3-3573781980-12-172023-09-14
연번지정번호대표자명업소명업소지번주소업소도로명주소우편번호지정일자데이터 기준일자
1581592022-4850169-05-6-00006김**이마트24 담양메타점전라남도 담양군 담양읍 남산리 415전라남도 담양군 담양읍 담양88로 374573502022-12-172023-09-14
1591602023-4850169-05-6-00001염**디레오전라남도 담양군 담양읍 객사리 602전라남도 담양군 담양읍 추성로 1369573392023-02-012023-09-14
1601612023-4850169-05-6-00002이**주창구암주유소전라남도 담양군 봉산면 제월리 83-22전라남도 담양군 봉산면 제월길 280573672023-02-172023-09-14
1611622023-4850169-05-6-00003허**이마트24 담양죽녹원 후문점전라남도 담양군 담양읍 운교리 77-6전라남도 담양군 담양읍 죽향문화로 381. 3동573112023-03-142023-09-14
1621632023-4850169-05-6-00004김**씨유 담양 소아르떼점전라남도 담양군 담양읍 학동리 681전라남도 담양군 담양읍 깊은실길 84-54. 1동 112호573512023-03-282023-09-14
1631642023-4850169-05-6-00005엄**지에스25 담양터미널점전라남도 담양군 담양읍 지침리 664전라남도 담양군 담양읍 중앙로 20-2573442023-04-272023-09-14
1641652023-4850169-05-6-00006김**양우회 빅마트전라남도 담양군 담양읍 천변리 43-1전라남도 담양군 담양읍 천변1길 8573432023-05-222023-09-14
1651662023-4850169-05-6-00007신**씨유 담양 갤러리점전라남도 담양군 담양읍 백동리 268-28전라남도 담양군 담양읍 삼거리길 23. 101동 101호573472023-05-312023-09-14
1661672023-4850169-05-6-00008김**(주)승우 (와이식자재마트)전라남도 담양군 담양읍 지침리 122-5전라남도 담양군 담양읍 미리산길 71573472023-06-012023-09-14
1671682023-4850169-05-6-00009나**세븐일레븐 담양수북점전라남도 담양군 수북면 수북리 262전라남도 담양군 수북면 한수동로 552. 1층573182023-06-282023-09-14