Overview

Dataset statistics

Number of variables9
Number of observations4644
Missing cells1969
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory331.2 KiB
Average record size in memory73.0 B

Variable types

Categorical2
Numeric1
DateTime1
Text5

Dataset

Description충청남도 아산시 일반음식점 정보로서 업종명, 업소명, 영업자, 주소정보 등의 정보를 제공합니다---------------------------------
URLhttps://www.data.go.kr/data/15048006/fileData.do

Alerts

업종명 has constant value ""Constant
소재지(도로명) has 84 (1.8%) missing valuesMissing
소재지전화 has 1885 (40.6%) missing valuesMissing
인허가번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:39:30.211159
Analysis finished2023-12-12 21:39:31.646966
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
일반음식점
4644 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4644
100.0%

Length

2023-12-13T06:39:31.701021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:39:31.778822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4644
100.0%

인허가번호
Real number (ℝ)

UNIQUE 

Distinct4644
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0124179 × 1010
Minimum1.9760461 × 1010
Maximum2.0230651 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size40.9 KiB
2023-12-13T06:39:31.876003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9760461 × 1010
5-th percentile1.9940461 × 1010
Q12.0070461 × 1010
median2.0150462 × 1010
Q32.0200467 × 1010
95-th percentile2.0220644 × 1010
Maximum2.0230651 × 1010
Range4.7019028 × 108
Interquartile range (IQR)1.3000571 × 108

Descriptive statistics

Standard deviation93444467
Coefficient of variation (CV)0.0046433927
Kurtosis0.74894106
Mean2.0124179 × 1010
Median Absolute Deviation (MAD)50006190
Skewness-1.1595944
Sum9.3456687 × 1013
Variance8.7318683 × 1015
MonotonicityNot monotonic
2023-12-13T06:39:32.030090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19760461016 1
 
< 0.1%
20140461483 1
 
< 0.1%
20120461629 1
 
< 0.1%
20120461599 1
 
< 0.1%
20120461528 1
 
< 0.1%
20120461501 1
 
< 0.1%
20120461290 1
 
< 0.1%
20120461249 1
 
< 0.1%
20120461212 1
 
< 0.1%
20120461188 1
 
< 0.1%
Other values (4634) 4634
99.8%
ValueCountFrequency (%)
19760461003 1
< 0.1%
19760461007 1
< 0.1%
19760461012 1
< 0.1%
19760461016 1
< 0.1%
19760461036 1
< 0.1%
19760461038 1
< 0.1%
19790461001 1
< 0.1%
19790461015 1
< 0.1%
19810461003 1
< 0.1%
19810461008 1
< 0.1%
ValueCountFrequency (%)
20230651279 1
< 0.1%
20230651278 1
< 0.1%
20230651276 1
< 0.1%
20230651275 1
< 0.1%
20230651274 1
< 0.1%
20230651272 1
< 0.1%
20230651271 1
< 0.1%
20230651270 1
< 0.1%
20230651263 1
< 0.1%
20230651262 1
< 0.1%

인허가일자
Date

Distinct3090
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
Minimum1976-02-17 00:00:00
Maximum2023-03-21 00:00:00
2023-12-13T06:39:32.204522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:39:32.380222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct4489
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
2023-12-13T06:39:32.748866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length6.9102067
Min length1

Characters and Unicode

Total characters32091
Distinct characters898
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4362 ?
Unique (%)93.9%

Sample

1st row안성식당
2nd row장수왕족발온양체인점
3rd row모박사 부대찌개(신창점)
4th row밀물식당
5th row고향집
ValueCountFrequency (%)
아산점 87
 
1.5%
배방점 82
 
1.4%
아산배방점 75
 
1.3%
아산테크노밸리점 34
 
0.6%
본점 30
 
0.5%
탕정점 26
 
0.4%
용화점 26
 
0.4%
아산용화점 26
 
0.4%
둔포점 25
 
0.4%
아산탕정점 21
 
0.4%
Other values (4554) 5537
92.8%
2023-12-13T06:39:33.311971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1326
 
4.1%
점 1210
 
3.8%
아 703
 
2.2%
산 673
 
2.1%
이 553
 
1.7%
식 512
 
1.6%
리 428
 
1.3%
) 407
 
1.3%
( 407
 
1.3%
당 386
 
1.2%
Other values (888) 25486
79.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28433
88.6%
Space Separator 1326
 
4.1%
Uppercase Letter 633
 
2.0%
Lowercase Letter 417
 
1.3%
Close Punctuation 408
 
1.3%
Open Punctuation 408
 
1.3%
Decimal Number 319
 
1.0%
Other Punctuation 140
 
0.4%
Dash Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1210
 
4.3%
아 703
 
2.5%
산 673
 
2.4%
이 553
 
1.9%
식 512
 
1.8%
리 428
 
1.5%
당 386
 
1.4%
치 360
 
1.3%
국 342
 
1.2%
탕 316
 
1.1%
Other values (813) 22950
80.7%
Uppercase Letter
ValueCountFrequency (%)
A 62
 
9.8%
O 52
 
8.2%
B 40
 
6.3%
T 40
 
6.3%
E 36
 
5.7%
S 35
 
5.5%
R 32
 
5.1%
C 32
 
5.1%
M 31
 
4.9%
N 30
 
4.7%
Other values (16) 243
38.4%
Lowercase Letter
ValueCountFrequency (%)
e 83
19.9%
a 40
 
9.6%
o 31
 
7.4%
n 27
 
6.5%
f 24
 
5.8%
t 22
 
5.3%
i 21
 
5.0%
c 20
 
4.8%
h 19
 
4.6%
r 18
 
4.3%
Other values (14) 112
26.9%
Decimal Number
ValueCountFrequency (%)
1 51
16.0%
2 51
16.0%
0 39
12.2%
8 34
10.7%
9 34
10.7%
7 25
7.8%
3 23
7.2%
6 23
7.2%
4 20
 
6.3%
5 19
 
6.0%
Other Punctuation
ValueCountFrequency (%)
& 93
66.4%
. 26
 
18.6%
, 9
 
6.4%
' 4
 
2.9%
: 3
 
2.1%
/ 3
 
2.1%
! 1
 
0.7%
· 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 407
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 407
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28425
88.6%
Common 2608
 
8.1%
Latin 1050
 
3.3%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1210
 
4.3%
아 703
 
2.5%
산 673
 
2.4%
이 553
 
1.9%
식 512
 
1.8%
리 428
 
1.5%
당 386
 
1.4%
치 360
 
1.3%
국 342
 
1.2%
탕 316
 
1.1%
Other values (805) 22942
80.7%
Latin
ValueCountFrequency (%)
e 83
 
7.9%
A 62
 
5.9%
O 52
 
5.0%
B 40
 
3.8%
a 40
 
3.8%
T 40
 
3.8%
E 36
 
3.4%
S 35
 
3.3%
R 32
 
3.0%
C 32
 
3.0%
Other values (40) 598
57.0%
Common
ValueCountFrequency (%)
1326
50.8%
) 407
 
15.6%
( 407
 
15.6%
& 93
 
3.6%
1 51
 
2.0%
2 51
 
2.0%
0 39
 
1.5%
8 34
 
1.3%
9 34
 
1.3%
. 26
 
1.0%
Other values (15) 140
 
5.4%
Han
ValueCountFrequency (%)
辛 1
12.5%
東 1
12.5%
北 1
12.5%
心 1
12.5%
店 1
12.5%
飯 1
12.5%
人 1
12.5%
樂 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28420
88.6%
ASCII 3657
 
11.4%
CJK 7
 
< 0.1%
Compat Jamo 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1326
36.3%
) 407
 
11.1%
( 407
 
11.1%
& 93
 
2.5%
e 83
 
2.3%
A 62
 
1.7%
O 52
 
1.4%
1 51
 
1.4%
2 51
 
1.4%
B 40
 
1.1%
Other values (64) 1085
29.7%
Hangul
ValueCountFrequency (%)
점 1210
 
4.3%
아 703
 
2.5%
산 673
 
2.4%
이 553
 
1.9%
식 512
 
1.8%
리 428
 
1.5%
당 386
 
1.4%
치 360
 
1.3%
국 342
 
1.2%
탕 316
 
1.1%
Other values (804) 22937
80.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
辛 1
14.3%
東 1
14.3%
北 1
14.3%
心 1
14.3%
店 1
14.3%
飯 1
14.3%
人 1
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct4257
Distinct (%)93.4%
Missing84
Missing (%)1.8%
Memory size36.4 KiB
2023-12-13T06:39:33.684407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length68
Mean length29.199781
Min length18

Characters and Unicode

Total characters133151
Distinct characters335
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4002 ?
Unique (%)87.8%

Sample

1st row충청남도 아산시 신창면 온천대로 725 (외 3필지)
2nd row충청남도 아산시 온화로 5 (온천동)
3rd row충청남도 아산시 배방읍 갈매길 32
4th row충청남도 아산시 신창면 읍내북길 8-11
5th row충청남도 아산시 온궁로 5 (온천동)
ValueCountFrequency (%)
충청남도 4560
 
16.1%
아산시 4560
 
16.1%
1층 2777
 
9.8%
배방읍 861
 
3.0%
온천동 629
 
2.2%
둔포면 490
 
1.7%
탕정면 415
 
1.5%
용화동 331
 
1.2%
모종동 273
 
1.0%
음봉면 266
 
0.9%
Other values (2717) 13105
46.4%
2023-12-13T06:39:34.566344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23708
 
17.8%
1 8546
 
6.4%
산 5292
 
4.0%
아 5235
 
3.9%
시 4944
 
3.7%
남 4779
 
3.6%
도 4733
 
3.6%
충 4664
 
3.5%
청 4658
 
3.5%
로 4069
 
3.1%
Other values (325) 62523
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74774
56.2%
Decimal Number 24299
 
18.2%
Space Separator 23708
 
17.8%
Other Punctuation 3734
 
2.8%
Open Punctuation 2391
 
1.8%
Close Punctuation 2391
 
1.8%
Dash Punctuation 1599
 
1.2%
Uppercase Letter 216
 
0.2%
Lowercase Letter 30
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 5292
 
7.1%
아 5235
 
7.0%
시 4944
 
6.6%
남 4779
 
6.4%
도 4733
 
6.3%
충 4664
 
6.2%
청 4658
 
6.2%
로 4069
 
5.4%
층 3326
 
4.4%
동 2554
 
3.4%
Other values (286) 30520
40.8%
Uppercase Letter
ValueCountFrequency (%)
B 91
42.1%
A 39
18.1%
G 21
 
9.7%
E 14
 
6.5%
C 9
 
4.2%
I 6
 
2.8%
D 6
 
2.8%
S 5
 
2.3%
K 4
 
1.9%
T 4
 
1.9%
Other values (8) 17
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 8546
35.2%
2 3226
 
13.3%
3 2140
 
8.8%
0 2126
 
8.7%
4 1721
 
7.1%
8 1431
 
5.9%
7 1373
 
5.7%
5 1357
 
5.6%
6 1330
 
5.5%
9 1049
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 3714
99.5%
@ 12
 
0.3%
. 8
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
t 10
33.3%
e 10
33.3%
h 10
33.3%
Space Separator
ValueCountFrequency (%)
23708
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2391
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2391
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1599
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74774
56.2%
Common 58131
43.7%
Latin 246
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 5292
 
7.1%
아 5235
 
7.0%
시 4944
 
6.6%
남 4779
 
6.4%
도 4733
 
6.3%
충 4664
 
6.2%
청 4658
 
6.2%
로 4069
 
5.4%
층 3326
 
4.4%
동 2554
 
3.4%
Other values (286) 30520
40.8%
Latin
ValueCountFrequency (%)
B 91
37.0%
A 39
15.9%
G 21
 
8.5%
E 14
 
5.7%
t 10
 
4.1%
e 10
 
4.1%
h 10
 
4.1%
C 9
 
3.7%
I 6
 
2.4%
D 6
 
2.4%
Other values (11) 30
 
12.2%
Common
ValueCountFrequency (%)
23708
40.8%
1 8546
 
14.7%
, 3714
 
6.4%
2 3226
 
5.5%
( 2391
 
4.1%
) 2391
 
4.1%
3 2140
 
3.7%
0 2126
 
3.7%
4 1721
 
3.0%
- 1599
 
2.8%
Other values (8) 6569
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74774
56.2%
ASCII 58377
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23708
40.6%
1 8546
 
14.6%
, 3714
 
6.4%
2 3226
 
5.5%
( 2391
 
4.1%
) 2391
 
4.1%
3 2140
 
3.7%
0 2126
 
3.6%
4 1721
 
2.9%
- 1599
 
2.7%
Other values (29) 6815
 
11.7%
Hangul
ValueCountFrequency (%)
산 5292
 
7.1%
아 5235
 
7.0%
시 4944
 
6.6%
남 4779
 
6.4%
도 4733
 
6.3%
충 4664
 
6.2%
청 4658
 
6.2%
로 4069
 
5.4%
층 3326
 
4.4%
동 2554
 
3.4%
Other values (286) 30520
40.8%

소재지(지번)
Text

Distinct4398
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
2023-12-13T06:39:34.915629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length64
Mean length26.347115
Min length15

Characters and Unicode

Total characters122356
Distinct characters353
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4188 ?
Unique (%)90.2%

Sample

1st row충청남도 아산시 신창면 오목리 300
2nd row충청남도 아산시 온천동 69
3rd row충청남도 아산시 신창면 읍내리 670-1 외 3필지
4th row충청남도 아산시 온천동 169-1
5th row충청남도 아산시 배방읍 갈매리 130-6
ValueCountFrequency (%)
아산시 4645
 
17.0%
충청남도 4644
 
17.0%
1층 2700
 
9.9%
배방읍 875
 
3.2%
온천동 786
 
2.9%
둔포면 492
 
1.8%
탕정면 424
 
1.6%
북수리 326
 
1.2%
모종동 292
 
1.1%
음봉면 275
 
1.0%
Other values (3842) 11852
43.4%
2023-12-13T06:39:35.463355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26601
21.7%
1 8724
 
7.1%
산 5037
 
4.1%
아 5025
 
4.1%
도 4762
 
3.9%
남 4760
 
3.9%
시 4745
 
3.9%
청 4662
 
3.8%
충 4649
 
3.8%
2 3187
 
2.6%
Other values (343) 50204
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65287
53.4%
Space Separator 26601
21.7%
Decimal Number 26483
21.6%
Dash Punctuation 2737
 
2.2%
Other Punctuation 472
 
0.4%
Open Punctuation 257
 
0.2%
Close Punctuation 257
 
0.2%
Uppercase Letter 226
 
0.2%
Lowercase Letter 30
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 5037
 
7.7%
아 5025
 
7.7%
도 4762
 
7.3%
남 4760
 
7.3%
시 4745
 
7.3%
청 4662
 
7.1%
충 4649
 
7.1%
층 3167
 
4.9%
리 2873
 
4.4%
동 2587
 
4.0%
Other values (304) 23020
35.3%
Uppercase Letter
ValueCountFrequency (%)
B 89
39.4%
A 43
19.0%
G 21
 
9.3%
E 15
 
6.6%
D 13
 
5.8%
C 10
 
4.4%
I 5
 
2.2%
S 5
 
2.2%
T 4
 
1.8%
K 4
 
1.8%
Other values (7) 17
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 8724
32.9%
2 3187
 
12.0%
0 2331
 
8.8%
3 2198
 
8.3%
5 2096
 
7.9%
4 2017
 
7.6%
7 1668
 
6.3%
6 1615
 
6.1%
9 1365
 
5.2%
8 1282
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 448
94.9%
@ 18
 
3.8%
. 5
 
1.1%
/ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
t 10
33.3%
h 10
33.3%
e 10
33.3%
Space Separator
ValueCountFrequency (%)
26601
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2737
100.0%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65287
53.4%
Common 56813
46.4%
Latin 256
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 5037
 
7.7%
아 5025
 
7.7%
도 4762
 
7.3%
남 4760
 
7.3%
시 4745
 
7.3%
청 4662
 
7.1%
충 4649
 
7.1%
층 3167
 
4.9%
리 2873
 
4.4%
동 2587
 
4.0%
Other values (304) 23020
35.3%
Latin
ValueCountFrequency (%)
B 89
34.8%
A 43
16.8%
G 21
 
8.2%
E 15
 
5.9%
D 13
 
5.1%
C 10
 
3.9%
t 10
 
3.9%
h 10
 
3.9%
e 10
 
3.9%
I 5
 
2.0%
Other values (10) 30
 
11.7%
Common
ValueCountFrequency (%)
26601
46.8%
1 8724
 
15.4%
2 3187
 
5.6%
- 2737
 
4.8%
0 2331
 
4.1%
3 2198
 
3.9%
5 2096
 
3.7%
4 2017
 
3.6%
7 1668
 
2.9%
6 1615
 
2.8%
Other values (9) 3639
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65287
53.4%
ASCII 57069
46.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26601
46.6%
1 8724
 
15.3%
2 3187
 
5.6%
- 2737
 
4.8%
0 2331
 
4.1%
3 2198
 
3.9%
5 2096
 
3.7%
4 2017
 
3.5%
7 1668
 
2.9%
6 1615
 
2.8%
Other values (29) 3895
 
6.8%
Hangul
ValueCountFrequency (%)
산 5037
 
7.7%
아 5025
 
7.7%
도 4762
 
7.3%
남 4760
 
7.3%
시 4745
 
7.3%
청 4662
 
7.1%
충 4649
 
7.1%
층 3167
 
4.9%
리 2873
 
4.4%
동 2587
 
4.0%
Other values (304) 23020
35.3%

영업장면적(건물내부+건물외부)
Text

Distinct3538
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
2023-12-13T06:39:35.883165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.7988803
Min length1

Characters and Unicode

Total characters22286
Distinct characters12
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

Unique2874 ?
Unique (%)61.9%

Sample

1st row30
2nd row0
3rd row386.9
4th row116.9
5th row65
ValueCountFrequency (%)
0 23
 
0.5%
30 22
 
0.5%
36 14
 
0.3%
72 11
 
0.2%
198 10
 
0.2%
66 10
 
0.2%
48 10
 
0.2%
62.4 9
 
0.2%
39 9
 
0.2%
99 8
 
0.2%
Other values (3528) 4518
97.3%
2023-12-13T06:39:36.433325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4151
18.6%
1 2538
11.4%
2 2146
9.6%
4 2033
9.1%
3 1919
8.6%
6 1833
8.2%
5 1800
8.1%
8 1722
7.7%
9 1539
 
6.9%
7 1481
 
6.6%
Other values (2) 1124
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18121
81.3%
Other Punctuation 4165
 
18.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2538
14.0%
2 2146
11.8%
4 2033
11.2%
3 1919
10.6%
6 1833
10.1%
5 1800
9.9%
8 1722
9.5%
9 1539
8.5%
7 1481
8.2%
0 1110
6.1%
Other Punctuation
ValueCountFrequency (%)
. 4151
99.7%
, 14
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 22286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4151
18.6%
1 2538
11.4%
2 2146
9.6%
4 2033
9.1%
3 1919
8.6%
6 1833
8.2%
5 1800
8.1%
8 1722
7.7%
9 1539
 
6.9%
7 1481
 
6.6%
Other values (2) 1124
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4151
18.6%
1 2538
11.4%
2 2146
9.6%
4 2033
9.1%
3 1919
8.6%
6 1833
8.2%
5 1800
8.1%
8 1722
7.7%
9 1539
 
6.9%
7 1481
 
6.6%
Other values (2) 1124
 
5.0%

소재지전화
Text

MISSING 

Distinct2692
Distinct (%)97.6%
Missing1885
Missing (%)40.6%
Memory size36.4 KiB
2023-12-13T06:39:36.681692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.012686
Min length11

Characters and Unicode

Total characters33143
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

Unique2634 ?
Unique (%)95.5%

Sample

1st row041-545-4692
2nd row041-542-7755
3rd row041-545-3351
4th row041-5480-266
5th row041-545-5312
ValueCountFrequency (%)
041-532-2233 4
 
0.1%
041-539-2000 4
 
0.1%
041-545-9002 3
 
0.1%
041-540-1127 3
 
0.1%
041-537-7100 3
 
0.1%
041-582-1004 3
 
0.1%
041-541-7100 3
 
0.1%
041-549-8998 2
 
0.1%
041-541-8644 2
 
0.1%
041-542-8668 2
 
0.1%
Other values (2682) 2730
98.9%
2023-12-13T06:39:37.005874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5759
17.4%
- 5518
16.6%
1 4205
12.7%
0 4131
12.5%
5 4020
12.1%
3 2540
7.7%
2 1744
 
5.3%
8 1450
 
4.4%
9 1426
 
4.3%
7 1287
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27625
83.4%
Dash Punctuation 5518
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5759
20.8%
1 4205
15.2%
0 4131
15.0%
5 4020
14.6%
3 2540
9.2%
2 1744
 
6.3%
8 1450
 
5.2%
9 1426
 
5.2%
7 1287
 
4.7%
6 1063
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 5518
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5759
17.4%
- 5518
16.6%
1 4205
12.7%
0 4131
12.5%
5 4020
12.1%
3 2540
7.7%
2 1744
 
5.3%
8 1450
 
4.4%
9 1426
 
4.3%
7 1287
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5759
17.4%
- 5518
16.6%
1 4205
12.7%
0 4131
12.5%
5 4020
12.1%
3 2540
7.7%
2 1744
 
5.3%
8 1450
 
4.4%
9 1426
 
4.3%
7 1287
 
3.9%

업태명
Categorical

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size36.4 KiB
한식
2147 
호프/통닭
585 
기타
408 
식육(숯불구이)
338 
중국식
254 
Other values (19)
912 

Length

Max length15
Median length2
Mean length3.3621878
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 2147
46.2%
호프/통닭 585
 
12.6%
기타 408
 
8.8%
식육(숯불구이) 338
 
7.3%
중국식 254
 
5.5%
분식 193
 
4.2%
경양식 135
 
2.9%
일식 84
 
1.8%
뷔페식 84
 
1.8%
통닭(치킨) 82
 
1.8%
Other values (14) 334
 
7.2%

Length

2023-12-13T06:39:37.124230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 2147
46.2%
호프/통닭 585
 
12.6%
기타 408
 
8.8%
식육(숯불구이 338
 
7.3%
중국식 254
 
5.5%
분식 193
 
4.2%
경양식 135
 
2.9%
일식 84
 
1.8%
뷔페식 84
 
1.8%
통닭(치킨 82
 
1.8%
Other values (14) 334
 
7.2%

Interactions

2023-12-13T06:39:31.270817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:39:37.190336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호업태명
인허가번호1.0000.248
업태명0.2481.000
2023-12-13T06:39:37.252788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호업태명
인허가번호1.0000.093
업태명0.0931.000

Missing values

2023-12-13T06:39:31.378335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:39:31.504469image/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.
2023-12-13T06:39:31.596542image/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

업종명인허가번호인허가일자업소명소재지(도로명)소재지(지번)영업장면적(건물내부+건물외부)소재지전화업태명
0일반음식점197604610161976-02-27안성식당<NA>충청남도 아산시 신창면 오목리 30030<NA>한식
1일반음식점197604610121976-02-27장수왕족발온양체인점<NA>충청남도 아산시 온천동 690041-545-4692한식
2일반음식점197604610381976-06-29모박사 부대찌개(신창점)충청남도 아산시 신창면 온천대로 725 (외 3필지)충청남도 아산시 신창면 읍내리 670-1 외 3필지386.9041-542-7755한식
3일반음식점197904610151979-12-29밀물식당충청남도 아산시 온화로 5 (온천동)충청남도 아산시 온천동 169-1116.9041-545-3351한식
4일반음식점198104610191981-08-12고향집충청남도 아산시 배방읍 갈매길 32충청남도 아산시 배방읍 갈매리 130-665041-5480-266한식
5일반음식점198104610481981-09-30삼거리식당충청남도 아산시 신창면 읍내북길 8-11충청남도 아산시 신창면 읍내리 28430<NA>한식
6일반음식점198104610081981-05-08수상각<NA>충청남도 아산시 방축동 39550041-545-5312호프/통닭
7일반음식점198104610101981-05-29연춘식당<NA>충청남도 아산시 득산동 555041-545-2866한식
8일반음식점198104610431981-09-30은정갈비충청남도 아산시 온궁로 5 (온천동)충청남도 아산시 온천동 220-994.5041-545-5898한식
9일반음식점198104610421981-09-30넉넉한 집충청남도 아산시 둔포면 아산밸리동로 265, 1층충청남도 아산시 둔포면 석곡리 125-8 1층185.34041-545-7542한식
업종명인허가번호인허가일자업소명소재지(도로명)소재지(지번)영업장면적(건물내부+건물외부)소재지전화업태명
4634일반음식점202306512612023-03-16카페514충청남도 아산시 배방읍 희망로46번길 11-16, 아산 파모스라움 1층 115호,116호충청남도 아산시 배방읍 장재리 1731 아산 파모스라움, 1층, 115호,116호68.04<NA>기타
4635일반음식점202306512622023-03-16레터커피바(letter coffeebar)충청남도 아산시 탕정면 매곡한들3길 3, 1층 일부충청남도 아산시 탕정면 매곡리 1467 1층 일부81.61<NA>기타
4636일반음식점202306512632023-03-17아산가야밀면충청남도 아산시 신정로 380, 1층 104-2,105호 (초사동)충청남도 아산시 초사동 15 1층 104-2,105호233.1<NA>한식
4637일반음식점202306512702023-03-20씨네라떼충청남도 아산시 곡교천로 201, 2층 (권곡동)충청남도 아산시 권곡동 444-6 2층195.27<NA>기타
4638일반음식점202306512712023-03-20맛깔참죽&완도미역아산배방역점충청남도 아산시 배방읍 배방로13번길 9-4, 1층 107호충청남도 아산시 배방읍 공수리 1597 1층 107호52.8<NA>한식
4639일반음식점202306512722023-03-20오렌지충청남도 아산시 둔포면 둔포중앙로 132, 1층 중앙호충청남도 아산시 둔포면 둔포리 411-25 1층, 중앙호12<NA>외국음식전문점(인도,태국등)
4640일반음식점202306512742023-03-20탕정스포츠바충청남도 아산시 탕정면 탕정로 251-6, 지하1층 일부충청남도 아산시 탕정면 명암리 468-9 지하1층 일부32.19<NA>기타
4641일반음식점202306512752023-03-20칠칠충청남도 아산시 어의정로 46, 118동 1층 106호 (용화동, 온천마을아파트)충청남도 아산시 용화동 584 온천마을아파트 118동 106호39<NA>한식
4642일반음식점202306512762023-03-20꼬알라파이(KKOALA PIE)충청남도 아산시 둔포면 아산밸리중앙로 79-6, 1동 1층 105호충청남도 아산시 둔포면 석곡리 1659 현대프라자 1동 105호36.37<NA>기타
4643일반음식점202306512792023-03-21쉐리르충청남도 아산시 탕정면 매곡한들3길 5-8, 1층 102호충청남도 아산시 탕정면 매곡리 1471 1층 102호25<NA>기타