Overview

Dataset statistics

Number of variables4
Number of observations172
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory33.8 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description전라북도 임실군의 담배소매인지정현황 데이터 입니다. 데이터 세부내역에는 순번, 상호, 주소, 전화번호를 포함하여 데이터를 제공하고 있습니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=1&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15053224

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 23:46:08.901496
Analysis finished2024-03-13 23:46:09.357611
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.5
Minimum1
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-14T08:46:09.425307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.55
Q143.75
median86.5
Q3129.25
95-th percentile163.45
Maximum172
Range171
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation49.796252
Coefficient of variation (CV)0.57567921
Kurtosis-1.2
Mean86.5
Median Absolute Deviation (MAD)43
Skewness0
Sum14878
Variance2479.6667
MonotonicityStrictly increasing
2024-03-14T08:46:09.535198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
Other values (162) 162
94.2%
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 (%)
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%

상호
Text

Distinct168
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-14T08:46:09.761353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length6.5755814
Min length1

Characters and Unicode

Total characters1131
Distinct characters230
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

Unique164 ?
Unique (%)95.3%

Sample

1st row세븐일레븐 임실사선대휴게점
2nd row붕어섬 휴게소
3rd row세븐일레븐임실스타점
4th row이마트24 스마트 관촌휴게소 광양방향점
5th row이마트24 스마트 관촌휴게소 완주방향점
ValueCountFrequency (%)
세븐일레븐 5
 
2.3%
임실농업협동조합 4
 
1.8%
씨유 4
 
1.8%
하나로마트 4
 
1.8%
복지단 3
 
1.4%
이마트24 3
 
1.4%
김*영 2
 
0.9%
cu 2
 
0.9%
제6탄약창 2
 
0.9%
임실보건의료원장례식장 2
 
0.9%
Other values (179) 187
85.8%
2024-03-14T08:46:10.121815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
4.2%
점 37
 
3.3%
퍼 33
 
2.9%
임 33
 
2.9%
실 32
 
2.8%
슈 31
 
2.7%
트 27
 
2.4%
마 27
 
2.4%
지 23
 
2.0%
* 23
 
2.0%
Other values (220) 817
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 991
87.6%
Space Separator 48
 
4.2%
Decimal Number 38
 
3.4%
Other Punctuation 24
 
2.1%
Uppercase Letter 15
 
1.3%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Lowercase Letter 4
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 37
 
3.7%
퍼 33
 
3.3%
임 33
 
3.3%
실 32
 
3.2%
슈 31
 
3.1%
트 27
 
2.7%
마 27
 
2.7%
지 23
 
2.3%
수 19
 
1.9%
이 18
 
1.8%
Other values (195) 711
71.7%
Decimal Number
ValueCountFrequency (%)
2 11
28.9%
5 8
21.1%
3 5
13.2%
4 4
 
10.5%
6 4
 
10.5%
1 2
 
5.3%
7 2
 
5.3%
0 1
 
2.6%
8 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
26.7%
U 2
13.3%
E 2
13.3%
G 2
13.3%
I 2
13.3%
S 1
 
6.7%
D 1
 
6.7%
L 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 23
95.8%
. 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
u 2
50.0%
c 2
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 991
87.6%
Common 121
 
10.7%
Latin 19
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 37
 
3.7%
퍼 33
 
3.3%
임 33
 
3.3%
실 32
 
3.2%
슈 31
 
3.1%
트 27
 
2.7%
마 27
 
2.7%
지 23
 
2.3%
수 19
 
1.9%
이 18
 
1.8%
Other values (195) 711
71.7%
Common
ValueCountFrequency (%)
48
39.7%
* 23
19.0%
2 11
 
9.1%
5 8
 
6.6%
) 5
 
4.1%
3 5
 
4.1%
( 5
 
4.1%
4 4
 
3.3%
6 4
 
3.3%
1 2
 
1.7%
Other values (5) 6
 
5.0%
Latin
ValueCountFrequency (%)
C 4
21.1%
U 2
10.5%
E 2
10.5%
G 2
10.5%
I 2
10.5%
u 2
10.5%
c 2
10.5%
S 1
 
5.3%
D 1
 
5.3%
L 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 991
87.6%
ASCII 140
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
34.3%
* 23
16.4%
2 11
 
7.9%
5 8
 
5.7%
) 5
 
3.6%
3 5
 
3.6%
( 5
 
3.6%
C 4
 
2.9%
4 4
 
2.9%
6 4
 
2.9%
Other values (15) 23
16.4%
Hangul
ValueCountFrequency (%)
점 37
 
3.7%
퍼 33
 
3.3%
임 33
 
3.3%
실 32
 
3.2%
슈 31
 
3.1%
트 27
 
2.7%
마 27
 
2.7%
지 23
 
2.3%
수 19
 
1.9%
이 18
 
1.8%
Other values (195) 711
71.7%

주소
Text

Distinct170
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-14T08:46:10.419761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length23.337209
Min length18

Characters and Unicode

Total characters4014
Distinct characters167
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

Unique169 ?
Unique (%)98.3%

Sample

1st row전라북도 임실군 관촌면 춘향로 3602
2nd row전라북도 임실군 운암면 입석1길 66
3rd row전라북도 임실군 임실읍 운수로 33-7. A동 1층
4th row전라북도 임실군 관촌면 순천완주고속도로 95. 관촌휴게소(완주)
5th row전라북도 임실군 관촌면 순천완주고속도로 96. 관촌휴게소 순천
ValueCountFrequency (%)
전라북도 172
18.5%
임실군 172
18.5%
임실읍 50
 
5.4%
오수면 38
 
4.1%
관촌면 19
 
2.0%
강진면 15
 
1.6%
오수로 13
 
1.4%
운수로 11
 
1.2%
봉황로 11
 
1.2%
운암면 10
 
1.1%
Other values (281) 420
45.1%
2024-03-14T08:46:10.812634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
819
20.4%
임 236
 
5.9%
실 230
 
5.7%
도 182
 
4.5%
전 173
 
4.3%
군 173
 
4.3%
북 172
 
4.3%
라 172
 
4.3%
면 122
 
3.0%
1 121
 
3.0%
Other values (157) 1614
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2545
63.4%
Space Separator 819
 
20.4%
Decimal Number 565
 
14.1%
Dash Punctuation 36
 
0.9%
Other Punctuation 30
 
0.7%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Lowercase Letter 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 236
 
9.3%
실 230
 
9.0%
도 182
 
7.2%
전 173
 
6.8%
군 173
 
6.8%
북 172
 
6.8%
라 172
 
6.8%
면 122
 
4.8%
로 105
 
4.1%
수 81
 
3.2%
Other values (139) 899
35.3%
Decimal Number
ValueCountFrequency (%)
1 121
21.4%
3 76
13.5%
2 61
10.8%
7 53
9.4%
5 52
9.2%
6 49
8.7%
0 49
8.7%
4 44
 
7.8%
8 36
 
6.4%
9 24
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
g 1
50.0%
Space Separator
ValueCountFrequency (%)
819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2545
63.4%
Common 1466
36.5%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 236
 
9.3%
실 230
 
9.0%
도 182
 
7.2%
전 173
 
6.8%
군 173
 
6.8%
북 172
 
6.8%
라 172
 
6.8%
면 122
 
4.8%
로 105
 
4.1%
수 81
 
3.2%
Other values (139) 899
35.3%
Common
ValueCountFrequency (%)
819
55.9%
1 121
 
8.3%
3 76
 
5.2%
2 61
 
4.2%
7 53
 
3.6%
5 52
 
3.5%
6 49
 
3.3%
0 49
 
3.3%
4 44
 
3.0%
8 36
 
2.5%
Other values (5) 106
 
7.2%
Latin
ValueCountFrequency (%)
A 1
33.3%
s 1
33.3%
g 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2545
63.4%
ASCII 1469
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
819
55.8%
1 121
 
8.2%
3 76
 
5.2%
2 61
 
4.2%
7 53
 
3.6%
5 52
 
3.5%
6 49
 
3.3%
0 49
 
3.3%
4 44
 
3.0%
8 36
 
2.5%
Other values (8) 109
 
7.4%
Hangul
ValueCountFrequency (%)
임 236
 
9.3%
실 230
 
9.0%
도 182
 
7.2%
전 173
 
6.8%
군 173
 
6.8%
북 172
 
6.8%
라 172
 
6.8%
면 122
 
4.8%
로 105
 
4.1%
수 81
 
3.2%
Other values (139) 899
35.3%

지정일자
Date

Distinct157
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1961-07-01 00:00:00
Maximum2023-01-10 00:00:00
2024-03-14T08:46:10.922101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:46:11.047577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-14T08:46:09.084675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-14T08:46:09.206236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:46:09.314764image/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

순번상호주소지정일자
01세븐일레븐 임실사선대휴게점전라북도 임실군 관촌면 춘향로 36022023-01-10
12붕어섬 휴게소전라북도 임실군 운암면 입석1길 662022-11-10
23세븐일레븐임실스타점전라북도 임실군 임실읍 운수로 33-7. A동 1층2022-06-27
34이마트24 스마트 관촌휴게소 광양방향점전라북도 임실군 관촌면 순천완주고속도로 95. 관촌휴게소(완주)2022-06-20
45이마트24 스마트 관촌휴게소 완주방향점전라북도 임실군 관촌면 순천완주고속도로 96. 관촌휴게소 순천2022-06-20
56(주)비지에프휴먼넷 CU E오수휴게소완주점전라북도 임실군 오수면 순천완주고속도로 74. 오수(전주)휴게소 1동 1층 1호2022-12-30
67(주)비즈에프휴먼넷 CU E오수휴게소순천점전라북도 임실군 오수면 순천완주고속도로 73. 오수휴게소(순천방향)2022-12-30
78오수관촌농협 관촌지점 하나로마트전라북도 임실군 관촌면 사선로 42. 오수관촌농협 관촌지점2022-03-17
89오수관촌농협 하나로마트전라북도 임실군 오수면 오수로 147. 오수관촌농협하나로마트2022-03-17
910지에스25임실관촌점전라북도 임실군 관촌면 사선로 27. 편의점2022-03-16
순번상호주소지정일자
162163엄*철전라북도 임실군 임실읍 이도리 764호2000-03-07
163164박*순전라북도 임실군 임실읍 운수로 261980-12-26
164165옥식슈퍼전라북도 임실군 임실읍 봉황8길 201987-08-14
165166김*숙전라북도 임실군 임실읍 운수로 41-51978-03-27
166167임*호전라북도 임실군 임실읍 운수로 33-61998-03-17
167168이*동전라북도 임실군 임실읍 대곡리 156호1968-12-16
168169정*순전라북도 임실군 임실읍 신안2길 43-51975-09-29
169170이*엽전라북도 임실군 임실읍 봉황로 851967-04-01
170171정*례전라북도 임실군 임실읍 이도리 810호1981-05-16
171172임실체육사전라북도 임실군 임실읍 봉황로 189 (임실체육사.열쇠.음악사)1980-12-16