Overview

Dataset statistics

Number of variables10
Number of observations118
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory83.1 B

Variable types

Categorical2
Numeric2
DateTime1
Text5

Dataset

Description충청남도 아산시 제과점 정보에 관한 데이터로 업종명, 인허가번호, 인허가일자, 영업자, 주소정보, 영업장 면적, 영업장 전화, 업태명 정보가 포함됩니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=440&beforeMenuCd=DOM_000000201001001000&publicdatapk=15048003

Alerts

업종명 has constant value ""Constant
업태명 has constant value ""Constant
인허가번호 has unique valuesUnique
소재지(지번) has unique valuesUnique
영업장면적 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:26:27.112971
Analysis finished2024-01-09 22:26:28.023415
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
제과점영업
118 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 118
100.0%

Length

2024-01-10T07:26:28.073811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:28.148779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 118
100.0%

인허가번호
Real number (ℝ)

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0136903 × 1010
Minimum1.9800461 × 1010
Maximum2.0200468 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T07:26:28.231509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9800461 × 1010
5-th percentile2.0028962 × 1010
Q12.0100461 × 1010
median2.0160461 × 1010
Q32.0180468 × 1010
95-th percentile2.0200467 × 1010
Maximum2.0200468 × 1010
Range4.0000666 × 108
Interquartile range (IQR)80006595

Descriptive statistics

Standard deviation65316261
Coefficient of variation (CV)0.00324361
Kurtosis6.4601754
Mean2.0136903 × 1010
Median Absolute Deviation (MAD)30006823
Skewness-2.0158537
Sum2.3761546 × 1012
Variance4.266214 × 1015
MonotonicityNot monotonic
2024-01-10T07:26:28.348764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19800461002 1
 
0.8%
20180467137 1
 
0.8%
20180467939 1
 
0.8%
20180467853 1
 
0.8%
20180467827 1
 
0.8%
20180467690 1
 
0.8%
20180467585 1
 
0.8%
20180467563 1
 
0.8%
20180467476 1
 
0.8%
20180467466 1
 
0.8%
Other values (108) 108
91.5%
ValueCountFrequency (%)
19800461002 1
0.8%
19890461036 1
0.8%
19960461162 1
0.8%
19990461364 1
0.8%
20010461085 1
0.8%
20020461436 1
0.8%
20030461516 1
0.8%
20040461364 1
0.8%
20050461487 1
0.8%
20060461092 1
0.8%
ValueCountFrequency (%)
20200467663 1
0.8%
20200467624 1
0.8%
20200467611 1
0.8%
20200467525 1
0.8%
20200467499 1
0.8%
20200467494 1
0.8%
20200467344 1
0.8%
20200467254 1
0.8%
20200467185 1
0.8%
20200467149 1
0.8%

인허가일자
Date

Distinct116
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1980-02-11 00:00:00
Maximum2020-08-19 00:00:00
2024-01-10T07:26:28.461546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:26:28.568358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct116
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:26:28.770043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18.5
Mean length9.2881356
Min length2

Characters and Unicode

Total characters1096
Distinct characters262
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)96.6%

Sample

1st row뚜레쥬르
2nd row파리바게뜨 충남온양점
3rd row델리명과
4th row황제베이커리
5th row큰사랑빵굼터
ValueCountFrequency (%)
파리바게뜨 14
 
8.0%
뚜레쥬르 9
 
5.1%
수제베이커리 4
 
2.3%
아산점 3
 
1.7%
파리바게트 3
 
1.7%
아산테크노밸리점 2
 
1.1%
좋은아침페스츄리 2
 
1.1%
주)신세계푸드트레이더스 2
 
1.1%
천안아산점 2
 
1.1%
아산트라펠리스점 2
 
1.1%
Other values (125) 133
75.6%
2024-01-10T07:26:29.190217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
5.3%
점 51
 
4.7%
리 48
 
4.4%
아 36
 
3.3%
산 33
 
3.0%
파 27
 
2.5%
이 26
 
2.4%
( 25
 
2.3%
) 25
 
2.3%
바 24
 
2.2%
Other values (252) 743
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 892
81.4%
Lowercase Letter 60
 
5.5%
Space Separator 58
 
5.3%
Uppercase Letter 26
 
2.4%
Open Punctuation 25
 
2.3%
Close Punctuation 25
 
2.3%
Decimal Number 7
 
0.6%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 51
 
5.7%
리 48
 
5.4%
아 36
 
4.0%
산 33
 
3.7%
파 27
 
3.0%
이 26
 
2.9%
바 24
 
2.7%
레 22
 
2.5%
게 21
 
2.4%
스 18
 
2.0%
Other values (206) 586
65.7%
Lowercase Letter
ValueCountFrequency (%)
e 10
16.7%
a 7
11.7%
t 6
10.0%
r 5
 
8.3%
n 5
 
8.3%
s 4
 
6.7%
i 3
 
5.0%
l 3
 
5.0%
k 2
 
3.3%
y 2
 
3.3%
Other values (8) 13
21.7%
Uppercase Letter
ValueCountFrequency (%)
A 5
19.2%
K 3
11.5%
H 2
 
7.7%
R 2
 
7.7%
I 2
 
7.7%
P 2
 
7.7%
B 2
 
7.7%
J 1
 
3.8%
L 1
 
3.8%
S 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
5 1
14.3%
9 1
14.3%
0 1
14.3%
2 1
14.3%
6 1
14.3%
3 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 891
81.3%
Common 118
 
10.8%
Latin 86
 
7.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 51
 
5.7%
리 48
 
5.4%
아 36
 
4.0%
산 33
 
3.7%
파 27
 
3.0%
이 26
 
2.9%
바 24
 
2.7%
레 22
 
2.5%
게 21
 
2.4%
스 18
 
2.0%
Other values (205) 585
65.7%
Latin
ValueCountFrequency (%)
e 10
 
11.6%
a 7
 
8.1%
t 6
 
7.0%
r 5
 
5.8%
A 5
 
5.8%
n 5
 
5.8%
s 4
 
4.7%
i 3
 
3.5%
K 3
 
3.5%
l 3
 
3.5%
Other values (23) 35
40.7%
Common
ValueCountFrequency (%)
58
49.2%
( 25
21.2%
) 25
21.2%
' 1
 
0.8%
5 1
 
0.8%
9 1
 
0.8%
0 1
 
0.8%
. 1
 
0.8%
2 1
 
0.8%
6 1
 
0.8%
Other values (3) 3
 
2.5%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 891
81.3%
ASCII 204
 
18.6%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
28.4%
( 25
12.3%
) 25
12.3%
e 10
 
4.9%
a 7
 
3.4%
t 6
 
2.9%
r 5
 
2.5%
A 5
 
2.5%
n 5
 
2.5%
s 4
 
2.0%
Other values (36) 54
26.5%
Hangul
ValueCountFrequency (%)
점 51
 
5.7%
리 48
 
5.4%
아 36
 
4.0%
산 33
 
3.7%
파 27
 
3.0%
이 26
 
2.9%
바 24
 
2.7%
레 22
 
2.5%
게 21
 
2.4%
스 18
 
2.0%
Other values (205) 585
65.7%
CJK
ValueCountFrequency (%)
孝 1
100.0%

영업자
Text

Distinct109
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:26:29.458784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.6779661
Min length3

Characters and Unicode

Total characters434
Distinct characters136
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

Unique105 ?
Unique (%)89.0%

Sample

1st row전철호
2nd row김진기
3rd row이덕임
4th row심언실
5th row차재회
ValueCountFrequency (%)
외 7
 
5.2%
1명 6
 
4.4%
이직상 5
 
3.7%
김운아 4
 
3.0%
전철호 2
 
1.5%
최재향 2
 
1.5%
이정화 1
 
0.7%
박성원 1
 
0.7%
5명 1
 
0.7%
인종환 1
 
0.7%
Other values (105) 105
77.8%
2024-01-10T07:26:29.846670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 22
 
5.1%
정 20
 
4.6%
김 19
 
4.4%
17
 
3.9%
희 14
 
3.2%
박 10
 
2.3%
명 9
 
2.1%
현 9
 
2.1%
상 8
 
1.8%
최 8
 
1.8%
Other values (126) 298
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
84.6%
Uppercase Letter 40
 
9.2%
Space Separator 17
 
3.9%
Decimal Number 8
 
1.8%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 22
 
6.0%
정 20
 
5.4%
김 19
 
5.2%
희 14
 
3.8%
박 10
 
2.7%
명 9
 
2.5%
현 9
 
2.5%
상 8
 
2.2%
최 8
 
2.2%
외 8
 
2.2%
Other values (104) 240
65.4%
Uppercase Letter
ValueCountFrequency (%)
A 7
17.5%
L 5
12.5%
E 4
10.0%
V 4
10.0%
I 4
10.0%
N 2
 
5.0%
D 2
 
5.0%
K 2
 
5.0%
O 2
 
5.0%
Y 1
 
2.5%
Other values (7) 7
17.5%
Decimal Number
ValueCountFrequency (%)
1 7
87.5%
5 1
 
12.5%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
84.6%
Latin 40
 
9.2%
Common 27
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 22
 
6.0%
정 20
 
5.4%
김 19
 
5.2%
희 14
 
3.8%
박 10
 
2.7%
명 9
 
2.5%
현 9
 
2.5%
상 8
 
2.2%
최 8
 
2.2%
외 8
 
2.2%
Other values (104) 240
65.4%
Latin
ValueCountFrequency (%)
A 7
17.5%
L 5
12.5%
E 4
10.0%
V 4
10.0%
I 4
10.0%
N 2
 
5.0%
D 2
 
5.0%
K 2
 
5.0%
O 2
 
5.0%
Y 1
 
2.5%
Other values (7) 7
17.5%
Common
ValueCountFrequency (%)
17
63.0%
1 7
25.9%
5 1
 
3.7%
( 1
 
3.7%
) 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
84.6%
ASCII 67
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 22
 
6.0%
정 20
 
5.4%
김 19
 
5.2%
희 14
 
3.8%
박 10
 
2.7%
명 9
 
2.5%
현 9
 
2.5%
상 8
 
2.2%
최 8
 
2.2%
외 8
 
2.2%
Other values (104) 240
65.4%
ASCII
ValueCountFrequency (%)
17
25.4%
A 7
10.4%
1 7
10.4%
L 5
 
7.5%
E 4
 
6.0%
V 4
 
6.0%
I 4
 
6.0%
N 2
 
3.0%
D 2
 
3.0%
K 2
 
3.0%
Other values (12) 13
19.4%

소재지(도로명)
Text

Distinct117
Distinct (%)100.0%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-01-10T07:26:30.089371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length48
Mean length33.08547
Min length19

Characters and Unicode

Total characters3871
Distinct characters179
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

Unique117 ?
Unique (%)100.0%

Sample

1st row충청남도 아산시 온천대로 1504 (온천동)
2nd row충청남도 아산시 온천대로 1492 (온천동)
3rd row충청남도 아산시 둔포면 둔포중앙로 140, 1층
4th row충청남도 아산시 도고면 아산만로 198, 1층
5th row충청남도 아산시 서부북로 973, 114동 120호 (배미동,서진아파트)
ValueCountFrequency (%)
충청남도 117
 
14.6%
아산시 117
 
14.6%
1층 74
 
9.2%
배방읍 30
 
3.7%
지하1층 12
 
1.5%
둔포면 12
 
1.5%
모종동 10
 
1.2%
탕정면 10
 
1.2%
온천동 9
 
1.1%
온천대로 8
 
1.0%
Other values (277) 402
50.2%
2024-01-10T07:26:30.452825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
684
 
17.7%
1 263
 
6.8%
아 150
 
3.9%
산 140
 
3.6%
시 125
 
3.2%
남 123
 
3.2%
충 119
 
3.1%
, 119
 
3.1%
청 119
 
3.1%
도 119
 
3.1%
Other values (169) 1910
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2144
55.4%
Decimal Number 712
 
18.4%
Space Separator 684
 
17.7%
Other Punctuation 120
 
3.1%
Open Punctuation 76
 
2.0%
Close Punctuation 76
 
2.0%
Dash Punctuation 32
 
0.8%
Uppercase Letter 24
 
0.6%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 150
 
7.0%
산 140
 
6.5%
시 125
 
5.8%
남 123
 
5.7%
충 119
 
5.6%
청 119
 
5.6%
도 119
 
5.6%
로 106
 
4.9%
층 96
 
4.5%
동 72
 
3.4%
Other values (145) 975
45.5%
Decimal Number
ValueCountFrequency (%)
1 263
36.9%
2 89
 
12.5%
0 77
 
10.8%
5 55
 
7.7%
4 49
 
6.9%
8 47
 
6.6%
7 40
 
5.6%
6 39
 
5.5%
3 36
 
5.1%
9 17
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
B 17
70.8%
A 3
 
12.5%
D 2
 
8.3%
E 1
 
4.2%
G 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
h 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 119
99.2%
@ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
684
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2144
55.4%
Common 1700
43.9%
Latin 27
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 150
 
7.0%
산 140
 
6.5%
시 125
 
5.8%
남 123
 
5.7%
충 119
 
5.6%
청 119
 
5.6%
도 119
 
5.6%
로 106
 
4.9%
층 96
 
4.5%
동 72
 
3.4%
Other values (145) 975
45.5%
Common
ValueCountFrequency (%)
684
40.2%
1 263
 
15.5%
, 119
 
7.0%
2 89
 
5.2%
0 77
 
4.5%
( 76
 
4.5%
) 76
 
4.5%
5 55
 
3.2%
4 49
 
2.9%
8 47
 
2.8%
Other values (6) 165
 
9.7%
Latin
ValueCountFrequency (%)
B 17
63.0%
A 3
 
11.1%
D 2
 
7.4%
E 1
 
3.7%
G 1
 
3.7%
t 1
 
3.7%
h 1
 
3.7%
e 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2144
55.4%
ASCII 1727
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
684
39.6%
1 263
 
15.2%
, 119
 
6.9%
2 89
 
5.2%
0 77
 
4.5%
( 76
 
4.4%
) 76
 
4.4%
5 55
 
3.2%
4 49
 
2.8%
8 47
 
2.7%
Other values (14) 192
 
11.1%
Hangul
ValueCountFrequency (%)
아 150
 
7.0%
산 140
 
6.5%
시 125
 
5.8%
남 123
 
5.7%
충 119
 
5.6%
청 119
 
5.6%
도 119
 
5.6%
로 106
 
4.9%
층 96
 
4.5%
동 72
 
3.4%
Other values (145) 975
45.5%

소재지(지번)
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:26:30.635830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length44
Mean length30.932203
Min length17

Characters and Unicode

Total characters3650
Distinct characters180
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

Unique118 ?
Unique (%)100.0%

Sample

1st row충청남도 아산시 온천동 87-6
2nd row충청남도 아산시 온천동 212-1
3rd row충청남도 아산시 둔포면 둔포리 413-26 외1필지 1층
4th row충청남도 아산시 도고면 신언리 150-9 1층
5th row충청남도 아산시 배미동 174-3 서진아파트 114동 120호
ValueCountFrequency (%)
충청남도 118
 
15.0%
아산시 118
 
15.0%
1층 71
 
9.0%
배방읍 30
 
3.8%
장재리 15
 
1.9%
둔포면 12
 
1.5%
온천동 12
 
1.5%
지하1층 11
 
1.4%
모종동 10
 
1.3%
탕정면 10
 
1.3%
Other values (262) 379
48.2%
2024-01-10T07:26:30.940883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
20.9%
1 284
 
7.8%
아 141
 
3.9%
산 131
 
3.6%
시 123
 
3.4%
도 122
 
3.3%
청 120
 
3.3%
충 119
 
3.3%
남 119
 
3.3%
2 92
 
2.5%
Other values (170) 1637
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1969
53.9%
Decimal Number 787
 
21.6%
Space Separator 762
 
20.9%
Dash Punctuation 59
 
1.6%
Uppercase Letter 24
 
0.7%
Other Punctuation 22
 
0.6%
Close Punctuation 12
 
0.3%
Open Punctuation 12
 
0.3%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 141
 
7.2%
산 131
 
6.7%
시 123
 
6.2%
도 122
 
6.2%
청 120
 
6.1%
충 119
 
6.0%
남 119
 
6.0%
층 91
 
4.6%
리 77
 
3.9%
동 75
 
3.8%
Other values (146) 851
43.2%
Decimal Number
ValueCountFrequency (%)
1 284
36.1%
2 92
 
11.7%
0 84
 
10.7%
5 64
 
8.1%
3 50
 
6.4%
4 47
 
6.0%
9 46
 
5.8%
6 44
 
5.6%
7 43
 
5.5%
8 33
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 17
70.8%
A 3
 
12.5%
D 2
 
8.3%
E 1
 
4.2%
G 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
h 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
@ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1969
53.9%
Common 1654
45.3%
Latin 27
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 141
 
7.2%
산 131
 
6.7%
시 123
 
6.2%
도 122
 
6.2%
청 120
 
6.1%
충 119
 
6.0%
남 119
 
6.0%
층 91
 
4.6%
리 77
 
3.9%
동 75
 
3.8%
Other values (146) 851
43.2%
Common
ValueCountFrequency (%)
762
46.1%
1 284
 
17.2%
2 92
 
5.6%
0 84
 
5.1%
5 64
 
3.9%
- 59
 
3.6%
3 50
 
3.0%
4 47
 
2.8%
9 46
 
2.8%
6 44
 
2.7%
Other values (6) 122
 
7.4%
Latin
ValueCountFrequency (%)
B 17
63.0%
A 3
 
11.1%
D 2
 
7.4%
E 1
 
3.7%
G 1
 
3.7%
t 1
 
3.7%
h 1
 
3.7%
e 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1969
53.9%
ASCII 1681
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
762
45.3%
1 284
 
16.9%
2 92
 
5.5%
0 84
 
5.0%
5 64
 
3.8%
- 59
 
3.5%
3 50
 
3.0%
4 47
 
2.8%
9 46
 
2.7%
6 44
 
2.6%
Other values (14) 149
 
8.9%
Hangul
ValueCountFrequency (%)
아 141
 
7.2%
산 131
 
6.7%
시 123
 
6.2%
도 122
 
6.2%
청 120
 
6.1%
충 119
 
6.0%
남 119
 
6.0%
층 91
 
4.6%
리 77
 
3.9%
동 75
 
3.8%
Other values (146) 851
43.2%

영업장면적
Real number (ℝ)

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.380085
Minimum3.6
Maximum310.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T07:26:31.067948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile18.2775
Q140.6225
median63.425
Q393.4725
95-th percentile155.584
Maximum310.1
Range306.5
Interquartile range (IQR)52.85

Descriptive statistics

Standard deviation54.513691
Coefficient of variation (CV)0.73290709
Kurtosis6.0880839
Mean74.380085
Median Absolute Deviation (MAD)25.415
Skewness2.1432704
Sum8776.85
Variance2971.7425
MonotonicityNot monotonic
2024-01-10T07:26:31.459842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.75 1
 
0.8%
33.2 1
 
0.8%
45.6 1
 
0.8%
90.0 1
 
0.8%
41.29 1
 
0.8%
230.71 1
 
0.8%
46.48 1
 
0.8%
43.87 1
 
0.8%
56.68 1
 
0.8%
35.19 1
 
0.8%
Other values (108) 108
91.5%
ValueCountFrequency (%)
3.6 1
0.8%
3.64 1
0.8%
4.0 1
0.8%
5.25 1
0.8%
16.34 1
0.8%
16.96 1
0.8%
18.51 1
0.8%
20.0 1
0.8%
22.05 1
0.8%
23.49 1
0.8%
ValueCountFrequency (%)
310.1 1
0.8%
290.88 1
0.8%
287.72 1
0.8%
230.71 1
0.8%
228.48 1
0.8%
158.1 1
0.8%
155.14 1
0.8%
154.66 1
0.8%
149.77 1
0.8%
135.61 1
0.8%

소재지전화
Text

Distinct65
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T07:26:31.670976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.3220339
Min length6

Characters and Unicode

Total characters1100
Distinct characters17
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

Unique63 ?
Unique (%)53.4%

Sample

1st row041-545-4076
2nd row041-544-4040
3rd row041-531-1243
4th row041-542-1155
5th row041-549-0049
ValueCountFrequency (%)
개인정보 53
44.9%
041-533-3485 2
 
1.7%
070-4036-8630 1
 
0.8%
041-554-0435 1
 
0.8%
041-548-0901 1
 
0.8%
041-532-0250 1
 
0.8%
041-545-4076 1
 
0.8%
041-549-0233 1
 
0.8%
041-548-2009 1
 
0.8%
041-532-0049 1
 
0.8%
Other values (55) 55
46.6%
2024-01-10T07:26:31.988246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 136
12.4%
- 130
11.8%
0 124
11.3%
5 96
 
8.7%
1 86
 
7.8%
3 67
 
6.1%
개 53
 
4.8%
( 53
 
4.8%
) 53
 
4.8%
보 53
 
4.8%
Other values (7) 249
22.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 652
59.3%
Other Letter 212
 
19.3%
Dash Punctuation 130
 
11.8%
Open Punctuation 53
 
4.8%
Close Punctuation 53
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 136
20.9%
0 124
19.0%
5 96
14.7%
1 86
13.2%
3 67
10.3%
2 44
 
6.7%
8 29
 
4.4%
7 25
 
3.8%
9 24
 
3.7%
6 21
 
3.2%
Other Letter
ValueCountFrequency (%)
개 53
25.0%
보 53
25.0%
정 53
25.0%
인 53
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 888
80.7%
Hangul 212
 
19.3%

Most frequent character per script

Common
ValueCountFrequency (%)
4 136
15.3%
- 130
14.6%
0 124
14.0%
5 96
10.8%
1 86
9.7%
3 67
7.5%
( 53
 
6.0%
) 53
 
6.0%
2 44
 
5.0%
8 29
 
3.3%
Other values (3) 70
7.9%
Hangul
ValueCountFrequency (%)
개 53
25.0%
보 53
25.0%
정 53
25.0%
인 53
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 888
80.7%
Hangul 212
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 136
15.3%
- 130
14.6%
0 124
14.0%
5 96
10.8%
1 86
9.7%
3 67
7.5%
( 53
 
6.0%
) 53
 
6.0%
2 44
 
5.0%
8 29
 
3.3%
Other values (3) 70
7.9%
Hangul
ValueCountFrequency (%)
개 53
25.0%
보 53
25.0%
정 53
25.0%
인 53
25.0%

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
제과점영업
118 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 118
100.0%

Length

2024-01-10T07:26:32.105851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:26:32.177897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 118
100.0%

Interactions

2024-01-10T07:26:27.687469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:26:27.513958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:26:27.771073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:26:27.599689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:26:32.227326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호영업장면적소재지전화
인허가번호1.0000.0000.993
영업장면적0.0001.0000.859
소재지전화0.9930.8591.000
2024-01-10T07:26:32.313714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호영업장면적
인허가번호1.000-0.224
영업장면적-0.2241.000

Missing values

2024-01-10T07:26:27.873954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:26:27.980103image/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

업종명인허가번호인허가일자업소명영업자소재지(도로명)소재지(지번)영업장면적소재지전화업태명
0제과점영업198004610021980-02-11뚜레쥬르전철호충청남도 아산시 온천대로 1504 (온천동)충청남도 아산시 온천동 87-668.75041-545-4076제과점영업
1제과점영업198904610361989-06-21파리바게뜨 충남온양점김진기충청남도 아산시 온천대로 1492 (온천동)충청남도 아산시 온천동 212-183.6041-544-4040제과점영업
2제과점영업199604611621996-07-02델리명과이덕임충청남도 아산시 둔포면 둔포중앙로 140, 1층충청남도 아산시 둔포면 둔포리 413-26 외1필지 1층35.0041-531-1243제과점영업
3제과점영업199904613641999-07-31황제베이커리심언실충청남도 아산시 도고면 아산만로 198, 1층충청남도 아산시 도고면 신언리 150-9 1층41.72041-542-1155제과점영업
4제과점영업200104610852001-03-21큰사랑빵굼터차재회충청남도 아산시 서부북로 973, 114동 120호 (배미동,서진아파트)충청남도 아산시 배미동 174-3 서진아파트 114동 120호72.8041-549-0049제과점영업
5제과점영업200204614362002-11-25케익하우스배수진충청남도 아산시 영인면 영인로 88-4, 1층충청남도 아산시 영인면 아산리 220-1 1층44.73041-543-3331제과점영업
6제과점영업200304615162003-12-29델리명과한천익충청남도 아산시 인주면 현대로 1298충청남도 아산시 인주면 밀두리 158-1137.2041-533-1818제과점영업
7제과점영업200404613642004-08-24독일제과정현봉충청남도 아산시 외암로 1245 (장존동,청솔아파트 상가 102호)충청남도 아산시 장존동 305-7 청솔아파트 상가 102호81.63041-532-0189제과점영업
8제과점영업200504614872005-11-03파리바게드 아산순천향대점김설희충청남도 아산시 신창면 순천향로 17 (,13)충청남도 아산시 신창면 읍내리 582-9 ,1340.4041-544-6656제과점영업
9제과점영업200604610922006-03-16뚜레쥬르(아산용화점)이기현충청남도 아산시 온중로 21 (용화동)충청남도 아산시 용화동 72253.12041-533-7330제과점영업
업종명인허가번호인허가일자업소명영업자소재지(도로명)소재지(지번)영업장면적소재지전화업태명
108제과점영업202004671492020-02-24파리바게뜨 배방하나로마트점임숙화충청남도 아산시 배방읍 모산로 186-4, 1층충청남도 아산시 배방읍 공수리 60-6 1층61.69(개인정보)제과점영업
109제과점영업202004671852020-03-03달곰히이현주충청남도 아산시 배방읍 광장로 181, 1층 101호충청남도 아산시 배방읍 장재리 1757 1층 101호36.0(개인정보)제과점영업
110제과점영업202004672542020-03-24르크로아상(Lecroissant)조현인충청남도 아산시 둔포면 중앙공원로17번길 3-16, 1층충청남도 아산시 둔포면 석곡리 1400 1층131.37(개인정보)제과점영업
111제과점영업202004673442020-04-27또바기당강소희충청남도 아산시 배방읍 북수로25번길 42, 1층충청남도 아산시 배방읍 공수리 286-65 1층 도로에서 봤을때 좌측47.83(개인정보)제과점영업
112제과점영업202004674942020-06-22좋은아침페스츄리 신정호수점박선희충청남도 아산시 신정로 470, 1층 (기산동)충청남도 아산시 기산동 94-3 1층135.61(개인정보)제과점영업
113제과점영업202004674992020-06-23온유김미성충청남도 아산시 탕정면 탕정면로8번길 10-20, 1층충청남도 아산시 탕정면 명암리 938-4 1층 (도로에서 건물을 봤을때 좌측 1칸사용)29.26(개인정보)제과점영업
114제과점영업202004675252020-06-30하늘연달카롱김령선충청남도 아산시 법곡길 10, 301동 지하1층 B05호 (법곡동, 아람채)충청남도 아산시 법곡동 333 지하1층 301동 B05호46.8(개인정보)제과점영업
115제과점영업202004676112020-07-28수제베이커리 용연점이직상충청남도 아산시 배방읍 용연로 156-11, 금강 내 1층 101(일부)호충청남도 아산시 배방읍 장재리 1560 101(일부) 금강마트 내3.64(개인정보)제과점영업
116제과점영업202004676242020-08-03가마솥옛날호두과자서태석충청남도 아산시 인주면 서해로 640, 1층충청남도 아산시 인주면 공세리 116-5 1층 (가운데칸)64.4(개인정보)제과점영업
117제과점영업202004676632020-08-19둥글동글베이커리유주미충청남도 아산시 번영로 4, 1층 (방축동)충청남도 아산시 방축동 131-65 1층42.7(개인정보)제과점영업