Overview

Dataset statistics

Number of variables5
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description충남 계룡시에서 관리하는 담배소매인 지정현황 정보(업소명, 도로명주소, 지정일 등)를 공공데이터로 공개합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=431&beforeMenuCd=DOM_000000201001001000&publicdatapk=15035649

Alerts

NO has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:47:26.429543
Analysis finished2024-01-09 19:47:27.118762
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-10T04:47:27.176703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q126
median51
Q376
95-th percentile96
Maximum101
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.300171
Coefficient of variation (CV)0.57451315
Kurtosis-1.2
Mean51
Median Absolute Deviation (MAD)25
Skewness0
Sum5151
Variance858.5
MonotonicityStrictly increasing
2024-01-10T04:47:27.281819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%

업소명
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-10T04:47:27.462095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8
Min length3

Characters and Unicode

Total characters808
Distinct characters215
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

Unique101 ?
Unique (%)100.0%

Sample

1st row씨유 계룡두마점
2nd row씨유엄사센트럴점
3rd row계룡 이케아 탑 공인중개사 사무소
4th row계룡철물
5th row장보고마트
ValueCountFrequency (%)
씨유 6
 
4.2%
세븐일레븐 5
 
3.5%
계룡대 3
 
2.1%
계룡 2
 
1.4%
홈플러스 2
 
1.4%
계룡금암점 2
 
1.4%
충성클럽 2
 
1.4%
주)리치유통 1
 
0.7%
코리아세븐 1
 
0.7%
계룡농약마트 1
 
0.7%
Other values (117) 117
82.4%
2024-01-10T04:47:27.751579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
계 49
 
6.1%
룡 48
 
5.9%
41
 
5.1%
점 36
 
4.5%
마 23
 
2.8%
트 22
 
2.7%
대 21
 
2.6%
스 20
 
2.5%
븐 16
 
2.0%
지 16
 
2.0%
Other values (205) 516
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 714
88.4%
Space Separator 41
 
5.1%
Decimal Number 25
 
3.1%
Uppercase Letter 12
 
1.5%
Open Punctuation 8
 
1.0%
Close Punctuation 8
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 49
 
6.9%
룡 48
 
6.7%
점 36
 
5.0%
마 23
 
3.2%
트 22
 
3.1%
대 21
 
2.9%
스 20
 
2.8%
븐 16
 
2.2%
지 16
 
2.2%
사 13
 
1.8%
Other values (196) 450
63.0%
Decimal Number
ValueCountFrequency (%)
2 12
48.0%
5 10
40.0%
9 2
 
8.0%
4 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
50.0%
G 6
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 714
88.4%
Common 82
 
10.1%
Latin 12
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 49
 
6.9%
룡 48
 
6.7%
점 36
 
5.0%
마 23
 
3.2%
트 22
 
3.1%
대 21
 
2.9%
스 20
 
2.8%
븐 16
 
2.2%
지 16
 
2.2%
사 13
 
1.8%
Other values (196) 450
63.0%
Common
ValueCountFrequency (%)
41
50.0%
2 12
 
14.6%
5 10
 
12.2%
( 8
 
9.8%
) 8
 
9.8%
9 2
 
2.4%
4 1
 
1.2%
Latin
ValueCountFrequency (%)
S 6
50.0%
G 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 714
88.4%
ASCII 94
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
계 49
 
6.9%
룡 48
 
6.7%
점 36
 
5.0%
마 23
 
3.2%
트 22
 
3.1%
대 21
 
2.9%
스 20
 
2.8%
븐 16
 
2.2%
지 16
 
2.2%
사 13
 
1.8%
Other values (196) 450
63.0%
ASCII
ValueCountFrequency (%)
41
43.6%
2 12
 
12.8%
5 10
 
10.6%
( 8
 
8.5%
) 8
 
8.5%
S 6
 
6.4%
G 6
 
6.4%
9 2
 
2.1%
4 1
 
1.1%

업소지번주소
Text

Distinct78
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-10T04:47:28.020993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length36
Mean length21.594059
Min length1

Characters and Unicode

Total characters2181
Distinct characters126
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

Unique73 ?
Unique (%)72.3%

Sample

1st row충청남도 계룡시 엄사면 엄사리 226-41
2nd row충청남도 계룡시 엄사면 엄사리 384 비사벌상가동 114.115호
3rd row충청남도 계룡시 두마면 농소리 1014
4th row충청남도 계룡시 금암동 28-1
5th row충청남도 계룡시 두마면 두계리 118-22
ValueCountFrequency (%)
충청남도 80
16.6%
계룡시 77
 
16.0%
신도안면 28
 
5.8%
엄사면 22
 
4.6%
엄사리 20
 
4.2%
부남리 18
 
3.7%
금암동 17
 
3.5%
두마면 10
 
2.1%
1호 9
 
1.9%
2호 7
 
1.5%
Other values (147) 193
40.1%
2024-01-10T04:47:28.389093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
457
21.0%
도 108
 
5.0%
남 105
 
4.8%
계 91
 
4.2%
룡 87
 
4.0%
1 84
 
3.9%
청 83
 
3.8%
시 83
 
3.8%
충 80
 
3.7%
면 61
 
2.8%
Other values (116) 942
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1397
64.1%
Space Separator 457
 
21.0%
Decimal Number 308
 
14.1%
Dash Punctuation 12
 
0.6%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 108
 
7.7%
남 105
 
7.5%
계 91
 
6.5%
룡 87
 
6.2%
청 83
 
5.9%
시 83
 
5.9%
충 80
 
5.7%
면 61
 
4.4%
리 60
 
4.3%
호 59
 
4.2%
Other values (99) 580
41.5%
Decimal Number
ValueCountFrequency (%)
1 84
27.3%
2 58
18.8%
8 28
 
9.1%
6 27
 
8.8%
0 22
 
7.1%
4 22
 
7.1%
3 21
 
6.8%
7 20
 
6.5%
5 18
 
5.8%
9 8
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1397
64.1%
Common 782
35.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 108
 
7.7%
남 105
 
7.5%
계 91
 
6.5%
룡 87
 
6.2%
청 83
 
5.9%
시 83
 
5.9%
충 80
 
5.7%
면 61
 
4.4%
리 60
 
4.3%
호 59
 
4.2%
Other values (99) 580
41.5%
Common
ValueCountFrequency (%)
457
58.4%
1 84
 
10.7%
2 58
 
7.4%
8 28
 
3.6%
6 27
 
3.5%
0 22
 
2.8%
4 22
 
2.8%
3 21
 
2.7%
7 20
 
2.6%
5 18
 
2.3%
Other values (5) 25
 
3.2%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1397
64.1%
ASCII 784
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
457
58.3%
1 84
 
10.7%
2 58
 
7.4%
8 28
 
3.6%
6 27
 
3.4%
0 22
 
2.8%
4 22
 
2.8%
3 21
 
2.7%
7 20
 
2.6%
5 18
 
2.3%
Other values (7) 27
 
3.4%
Hangul
ValueCountFrequency (%)
도 108
 
7.7%
남 105
 
7.5%
계 91
 
6.5%
룡 87
 
6.2%
청 83
 
5.9%
시 83
 
5.9%
충 80
 
5.7%
면 61
 
4.4%
리 60
 
4.3%
호 59
 
4.2%
Other values (99) 580
41.5%

업소도로명주소
Text

Distinct72
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-01-10T04:47:28.653272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length20.554455
Min length1

Characters and Unicode

Total characters2076
Distinct characters127
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

Unique68 ?
Unique (%)67.3%

Sample

1st row충청남도 계룡시 엄사면 번영3길 73-17. 1층
2nd row
3rd row충청남도 계룡시 두마면 농소로 38. 105호
4th row충청남도 계룡시 금암로 166. 1층 (금암동)
5th row충청남도 계룡시 두마면 사계로 46
ValueCountFrequency (%)
충청남도 73
 
16.5%
계룡시 71
 
16.1%
엄사면 27
 
6.1%
금암동 21
 
4.8%
두마면 12
 
2.7%
1층 12
 
2.7%
계룡대로 11
 
2.5%
신도안면 9
 
2.0%
엄사중앙로 9
 
2.0%
번영로 8
 
1.8%
Other values (134) 189
42.8%
2024-01-10T04:47:29.015610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
401
19.3%
계 94
 
4.5%
1 92
 
4.4%
룡 89
 
4.3%
도 85
 
4.1%
남 76
 
3.7%
청 74
 
3.6%
시 74
 
3.6%
충 73
 
3.5%
로 60
 
2.9%
Other values (117) 958
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1242
59.8%
Space Separator 401
 
19.3%
Decimal Number 298
 
14.4%
Other Punctuation 44
 
2.1%
Open Punctuation 37
 
1.8%
Close Punctuation 37
 
1.8%
Dash Punctuation 14
 
0.7%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 94
 
7.6%
룡 89
 
7.2%
도 85
 
6.8%
남 76
 
6.1%
청 74
 
6.0%
시 74
 
6.0%
충 73
 
5.9%
로 60
 
4.8%
면 49
 
3.9%
사 41
 
3.3%
Other values (99) 527
42.4%
Decimal Number
ValueCountFrequency (%)
1 92
30.9%
6 37
12.4%
0 33
 
11.1%
3 32
 
10.7%
2 20
 
6.7%
5 19
 
6.4%
7 19
 
6.4%
4 19
 
6.4%
9 16
 
5.4%
8 11
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
401
100.0%
Other Punctuation
ValueCountFrequency (%)
. 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1242
59.8%
Common 832
40.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 94
 
7.6%
룡 89
 
7.2%
도 85
 
6.8%
남 76
 
6.1%
청 74
 
6.0%
시 74
 
6.0%
충 73
 
5.9%
로 60
 
4.8%
면 49
 
3.9%
사 41
 
3.3%
Other values (99) 527
42.4%
Common
ValueCountFrequency (%)
401
48.2%
1 92
 
11.1%
. 44
 
5.3%
6 37
 
4.4%
( 37
 
4.4%
) 37
 
4.4%
0 33
 
4.0%
3 32
 
3.8%
2 20
 
2.4%
5 19
 
2.3%
Other values (6) 80
 
9.6%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1242
59.8%
ASCII 834
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
401
48.1%
1 92
 
11.0%
. 44
 
5.3%
6 37
 
4.4%
( 37
 
4.4%
) 37
 
4.4%
0 33
 
4.0%
3 32
 
3.8%
2 20
 
2.4%
5 19
 
2.3%
Other values (8) 82
 
9.8%
Hangul
ValueCountFrequency (%)
계 94
 
7.6%
룡 89
 
7.2%
도 85
 
6.8%
남 76
 
6.1%
청 74
 
6.0%
시 74
 
6.0%
충 73
 
5.9%
로 60
 
4.8%
면 49
 
3.9%
사 41
 
3.3%
Other values (99) 527
42.4%

지정일자
Date

Distinct87
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum1985-09-23 00:00:00
Maximum2021-08-06 00:00:00
2024-01-10T04:47:29.124701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:47:29.222672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T04:47:26.944379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:47:29.287436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO업소지번주소업소도로명주소지정일자
NO1.0000.9190.6711.000
업소지번주소0.9191.0000.0000.953
업소도로명주소0.6710.0001.0000.998
지정일자1.0000.9530.9981.000

Missing values

2024-01-10T04:47:27.021090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:47:27.091203image/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

NO업소명업소지번주소업소도로명주소지정일자
01씨유 계룡두마점충청남도 계룡시 엄사면 엄사리 226-41충청남도 계룡시 엄사면 번영3길 73-17. 1층2021-08-06
12씨유엄사센트럴점충청남도 계룡시 엄사면 엄사리 384 비사벌상가동 114.115호2021-07-07
23계룡 이케아 탑 공인중개사 사무소충청남도 계룡시 두마면 농소리 1014충청남도 계룡시 두마면 농소로 38. 105호2021-06-21
34계룡철물충청남도 계룡시 금암동 28-1충청남도 계룡시 금암로 166. 1층 (금암동)2021-02-18
45장보고마트충청남도 계룡시 두마면 두계리 118-22충청남도 계룡시 두마면 사계로 462021-02-08
56지에스25계룡허브점충청남도 계룡시 엄사면 엄사리 282 성원아파트충청남도 계룡시 엄사면 엄사중앙로 66. 상가동 101호 (성원아파트)2020-12-16
67지에스 계룡대실와노점충청남도 계룡시 두마면 농소리 969 계룡대실 LH 4단지충청남도 계룡시 두마면 대실남북로 82. 상가 101호 (계룡대실 LH 4단지)2020-12-11
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9495우정의 집대전광역시 유성구 전민동 464-1호 엑스포아파트 304-8021997-01-23
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9798공군복지전대충청남도 계룡시 신도안면 남선리 호1989-08-16
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100101육군본부사령충청남도 계룡시 신도안면 부남리 호 군부대1996-02-14