Overview

Dataset statistics

Number of variables9
Number of observations1112
Missing cells648
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory80.5 KiB
Average record size in memory74.1 B

Variable types

Categorical2
Numeric2
DateTime1
Text4

Dataset

Description충청남도 아산시 휴게음식점 정보로서 업종명, 업소명, 영업자, 주소정보 등의 정보를 제공합니다.----------------------------------
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=440&beforeMenuCd=DOM_000000201001001000&publicdatapk=15048005

Alerts

업종명 has constant value ""Constant
소재지(도로명) has 25 (2.2%) missing valuesMissing
소재지전화 has 623 (56.0%) missing valuesMissing
인허가번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:14:34.491025
Analysis finished2024-01-09 22:14:35.700487
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
휴게음식점
1112 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 1112
100.0%

Length

2024-01-10T07:14:35.749051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:14:35.814892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1112
100.0%

인허가번호
Real number (ℝ)

UNIQUE 

Distinct1112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0168558 × 1010
Minimum1.9760461 × 1010
Maximum2.0230651 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2024-01-10T07:14:35.895644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9760461 × 1010
5-th percentile2.0025961 × 1010
Q12.0160461 × 1010
median2.0190468 × 1010
Q32.0210468 × 1010
95-th percentile2.0220644 × 1010
Maximum2.0230651 × 1010
Range4.7019024 × 108
Interquartile range (IQR)50006582

Descriptive statistics

Standard deviation76954635
Coefficient of variation (CV)0.0038155745
Kurtosis10.778369
Mean2.0168558 × 1010
Median Absolute Deviation (MAD)25006109
Skewness-3.0714621
Sum2.2427436 × 1013
Variance5.9220158 × 1015
MonotonicityNot monotonic
2024-01-10T07:14:36.007257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19760461019 1
 
0.1%
20210467473 1
 
0.1%
20210467530 1
 
0.1%
20210467514 1
 
0.1%
20210467505 1
 
0.1%
20210467502 1
 
0.1%
20210467478 1
 
0.1%
20210467477 1
 
0.1%
20210467470 1
 
0.1%
20210467394 1
 
0.1%
Other values (1102) 1102
99.1%
ValueCountFrequency (%)
19760461019 1
0.1%
19760461020 1
0.1%
19760461023 1
0.1%
19760461025 1
0.1%
19760461031 1
0.1%
19760461033 1
0.1%
19780461003 1
0.1%
19790461012 1
0.1%
19800461003 1
0.1%
19810461006 1
0.1%
ValueCountFrequency (%)
20230651264 1
0.1%
20230651256 1
0.1%
20230651254 1
0.1%
20230651247 1
0.1%
20230651246 1
0.1%
20230651236 1
0.1%
20230651210 1
0.1%
20230651208 1
0.1%
20230651196 1
0.1%
20230651193 1
0.1%

인허가일자
Date

Distinct885
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
Minimum1976-03-15 00:00:00
Maximum2023-03-17 00:00:00
2024-01-10T07:14:36.108867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:14:36.214841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct1106
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-01-10T07:14:36.413199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length9.1411871
Min length2

Characters and Unicode

Total characters10165
Distinct characters613
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

Unique1101 ?
Unique (%)99.0%

Sample

1st row난다방
2nd row영다방
3rd row사랑방 다방
4th row촌카페
5th row태경다방
ValueCountFrequency (%)
씨유 62
 
3.6%
세븐일레븐 48
 
2.8%
gs25 35
 
2.0%
이마트24 21
 
1.2%
아산배방점 21
 
1.2%
지에스25 18
 
1.0%
아산점 18
 
1.0%
아산탕정점 16
 
0.9%
미니스톱 14
 
0.8%
카페 14
 
0.8%
Other values (1166) 1478
84.7%
2024-01-10T07:14:36.726444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
633
 
6.2%
점 541
 
5.3%
아 464
 
4.6%
산 423
 
4.2%
스 255
 
2.5%
이 198
 
1.9%
방 177
 
1.7%
( 166
 
1.6%
) 166
 
1.6%
피 162
 
1.6%
Other values (603) 6980
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8057
79.3%
Space Separator 633
 
6.2%
Uppercase Letter 496
 
4.9%
Lowercase Letter 324
 
3.2%
Decimal Number 295
 
2.9%
Open Punctuation 166
 
1.6%
Close Punctuation 166
 
1.6%
Other Punctuation 27
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 541
 
6.7%
아 464
 
5.8%
산 423
 
5.3%
스 255
 
3.2%
이 198
 
2.5%
방 177
 
2.2%
피 162
 
2.0%
카 144
 
1.8%
커 137
 
1.7%
리 137
 
1.7%
Other values (534) 5419
67.3%
Lowercase Letter
ValueCountFrequency (%)
e 54
16.7%
a 45
13.9%
f 26
 
8.0%
o 23
 
7.1%
c 18
 
5.6%
t 17
 
5.2%
l 17
 
5.2%
n 16
 
4.9%
r 14
 
4.3%
s 12
 
3.7%
Other values (15) 82
25.3%
Uppercase Letter
ValueCountFrequency (%)
C 70
14.1%
S 62
12.5%
G 59
11.9%
E 43
 
8.7%
P 35
 
7.1%
A 27
 
5.4%
F 25
 
5.0%
O 22
 
4.4%
R 21
 
4.2%
T 21
 
4.2%
Other values (14) 111
22.4%
Decimal Number
ValueCountFrequency (%)
2 113
38.3%
5 83
28.1%
4 28
 
9.5%
1 22
 
7.5%
3 12
 
4.1%
0 12
 
4.1%
8 9
 
3.1%
9 8
 
2.7%
7 4
 
1.4%
6 4
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 11
40.7%
, 7
25.9%
. 5
18.5%
' 2
 
7.4%
# 1
 
3.7%
! 1
 
3.7%
Space Separator
ValueCountFrequency (%)
633
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8057
79.3%
Common 1288
 
12.7%
Latin 820
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 541
 
6.7%
아 464
 
5.8%
산 423
 
5.3%
스 255
 
3.2%
이 198
 
2.5%
방 177
 
2.2%
피 162
 
2.0%
카 144
 
1.8%
커 137
 
1.7%
리 137
 
1.7%
Other values (534) 5419
67.3%
Latin
ValueCountFrequency (%)
C 70
 
8.5%
S 62
 
7.6%
G 59
 
7.2%
e 54
 
6.6%
a 45
 
5.5%
E 43
 
5.2%
P 35
 
4.3%
A 27
 
3.3%
f 26
 
3.2%
F 25
 
3.0%
Other values (39) 374
45.6%
Common
ValueCountFrequency (%)
633
49.1%
( 166
 
12.9%
) 166
 
12.9%
2 113
 
8.8%
5 83
 
6.4%
4 28
 
2.2%
1 22
 
1.7%
3 12
 
0.9%
0 12
 
0.9%
& 11
 
0.9%
Other values (10) 42
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8057
79.3%
ASCII 2108
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
633
30.0%
( 166
 
7.9%
) 166
 
7.9%
2 113
 
5.4%
5 83
 
3.9%
C 70
 
3.3%
S 62
 
2.9%
G 59
 
2.8%
e 54
 
2.6%
a 45
 
2.1%
Other values (59) 657
31.2%
Hangul
ValueCountFrequency (%)
점 541
 
6.7%
아 464
 
5.8%
산 423
 
5.3%
스 255
 
3.2%
이 198
 
2.5%
방 177
 
2.2%
피 162
 
2.0%
카 144
 
1.8%
커 137
 
1.7%
리 137
 
1.7%
Other values (534) 5419
67.3%

소재지(도로명)
Text

MISSING 

Distinct1066
Distinct (%)98.1%
Missing25
Missing (%)2.2%
Memory size8.8 KiB
2024-01-10T07:14:36.935801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length66
Mean length31.772769
Min length19

Characters and Unicode

Total characters34537
Distinct characters313
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

Unique1045 ?
Unique (%)96.1%

Sample

1st row충청남도 아산시 둔포면 둔포면로 2
2nd row충청남도 아산시 도고면 아산만로214번길 9
3rd row충청남도 아산시 둔포면 둔포중앙로 119
4th row충청남도 아산시 도고면 아산만로 199-5
5th row충청남도 아산시 시장길 11-6 (온천동)
ValueCountFrequency (%)
충청남도 1087
 
15.0%
아산시 1087
 
15.0%
1층 778
 
10.7%
배방읍 268
 
3.7%
온천동 127
 
1.7%
탕정면 108
 
1.5%
둔포면 105
 
1.4%
모종동 76
 
1.0%
2층 75
 
1.0%
신창면 55
 
0.8%
Other values (1283) 3494
48.1%
2024-01-10T07:14:37.267394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6175
 
17.9%
1 2262
 
6.5%
아 1311
 
3.8%
산 1305
 
3.8%
시 1213
 
3.5%
도 1157
 
3.4%
남 1150
 
3.3%
, 1132
 
3.3%
충 1110
 
3.2%
청 1101
 
3.2%
Other values (303) 16621
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19301
55.9%
Decimal Number 6206
 
18.0%
Space Separator 6175
 
17.9%
Other Punctuation 1134
 
3.3%
Close Punctuation 636
 
1.8%
Open Punctuation 636
 
1.8%
Dash Punctuation 331
 
1.0%
Uppercase Letter 105
 
0.3%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1311
 
6.8%
산 1305
 
6.8%
시 1213
 
6.3%
도 1157
 
6.0%
남 1150
 
6.0%
충 1110
 
5.8%
청 1101
 
5.7%
층 998
 
5.2%
로 945
 
4.9%
동 696
 
3.6%
Other values (262) 8315
43.1%
Uppercase Letter
ValueCountFrequency (%)
B 44
41.9%
A 15
 
14.3%
E 8
 
7.6%
D 7
 
6.7%
G 5
 
4.8%
L 3
 
2.9%
C 3
 
2.9%
S 3
 
2.9%
H 3
 
2.9%
Y 2
 
1.9%
Other values (8) 12
 
11.4%
Decimal Number
ValueCountFrequency (%)
1 2262
36.4%
2 863
 
13.9%
0 591
 
9.5%
3 528
 
8.5%
4 386
 
6.2%
5 364
 
5.9%
7 339
 
5.5%
8 314
 
5.1%
6 313
 
5.0%
9 246
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1132
99.8%
* 1
 
0.1%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
h 3
33.3%
t 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 635
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 635
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
6175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 331
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19301
55.9%
Common 15122
43.8%
Latin 114
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1311
 
6.8%
산 1305
 
6.8%
시 1213
 
6.3%
도 1157
 
6.0%
남 1150
 
6.0%
충 1110
 
5.8%
청 1101
 
5.7%
층 998
 
5.2%
로 945
 
4.9%
동 696
 
3.6%
Other values (262) 8315
43.1%
Latin
ValueCountFrequency (%)
B 44
38.6%
A 15
 
13.2%
E 8
 
7.0%
D 7
 
6.1%
G 5
 
4.4%
L 3
 
2.6%
C 3
 
2.6%
S 3
 
2.6%
e 3
 
2.6%
H 3
 
2.6%
Other values (11) 20
17.5%
Common
ValueCountFrequency (%)
6175
40.8%
1 2262
 
15.0%
, 1132
 
7.5%
2 863
 
5.7%
) 635
 
4.2%
( 635
 
4.2%
0 591
 
3.9%
3 528
 
3.5%
4 386
 
2.6%
5 364
 
2.4%
Other values (10) 1551
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19301
55.9%
ASCII 15236
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6175
40.5%
1 2262
 
14.8%
, 1132
 
7.4%
2 863
 
5.7%
) 635
 
4.2%
( 635
 
4.2%
0 591
 
3.9%
3 528
 
3.5%
4 386
 
2.5%
5 364
 
2.4%
Other values (31) 1665
 
10.9%
Hangul
ValueCountFrequency (%)
아 1311
 
6.8%
산 1305
 
6.8%
시 1213
 
6.3%
도 1157
 
6.0%
남 1150
 
6.0%
충 1110
 
5.8%
청 1101
 
5.7%
층 998
 
5.2%
로 945
 
4.9%
동 696
 
3.6%
Other values (262) 8315
43.1%

소재지(지번)
Text

Distinct1083
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-01-10T07:14:37.489826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length62
Mean length29.247302
Min length16

Characters and Unicode

Total characters32523
Distinct characters308
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

Unique1062 ?
Unique (%)95.5%

Sample

1st row충청남도 아산시 둔포면 둔포리 420-9
2nd row충청남도 아산시 도고면 신언리 175
3rd row충청남도 아산시 둔포면 둔포리 476-7
4th row충청남도 아산시 도고면 신언리 142-7
5th row충청남도 아산시 온천동 40-52
ValueCountFrequency (%)
충청남도 1112
 
15.7%
아산시 1112
 
15.7%
1층 735
 
10.4%
배방읍 270
 
3.8%
온천동 144
 
2.0%
탕정면 111
 
1.6%
둔포면 106
 
1.5%
북수리 84
 
1.2%
공수리 84
 
1.2%
모종동 77
 
1.1%
Other values (1433) 3260
45.9%
2024-01-10T07:14:37.856629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6916
21.3%
1 2510
 
7.7%
아 1260
 
3.9%
산 1234
 
3.8%
시 1160
 
3.6%
도 1156
 
3.6%
남 1128
 
3.5%
충 1115
 
3.4%
청 1115
 
3.4%
층 950
 
2.9%
Other values (298) 13979
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17419
53.6%
Decimal Number 6944
 
21.4%
Space Separator 6916
 
21.3%
Dash Punctuation 636
 
2.0%
Other Punctuation 197
 
0.6%
Open Punctuation 141
 
0.4%
Close Punctuation 140
 
0.4%
Uppercase Letter 117
 
0.4%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1260
 
7.2%
산 1234
 
7.1%
시 1160
 
6.7%
도 1156
 
6.6%
남 1128
 
6.5%
충 1115
 
6.4%
청 1115
 
6.4%
층 950
 
5.5%
리 724
 
4.2%
동 705
 
4.0%
Other values (259) 6872
39.5%
Uppercase Letter
ValueCountFrequency (%)
B 45
38.5%
A 16
 
13.7%
D 11
 
9.4%
E 8
 
6.8%
G 6
 
5.1%
L 5
 
4.3%
S 4
 
3.4%
H 3
 
2.6%
C 3
 
2.6%
Y 3
 
2.6%
Other values (8) 13
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 2510
36.1%
2 870
 
12.5%
0 592
 
8.5%
3 564
 
8.1%
5 527
 
7.6%
4 465
 
6.7%
6 418
 
6.0%
7 371
 
5.3%
8 330
 
4.8%
9 297
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 195
99.0%
. 1
 
0.5%
/ 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
t 3
33.3%
h 3
33.3%
e 3
33.3%
Space Separator
ValueCountFrequency (%)
6916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 636
100.0%
Open Punctuation
ValueCountFrequency (%)
( 141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17419
53.6%
Common 14978
46.1%
Latin 126
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1260
 
7.2%
산 1234
 
7.1%
시 1160
 
6.7%
도 1156
 
6.6%
남 1128
 
6.5%
충 1115
 
6.4%
청 1115
 
6.4%
층 950
 
5.5%
리 724
 
4.2%
동 705
 
4.0%
Other values (259) 6872
39.5%
Latin
ValueCountFrequency (%)
B 45
35.7%
A 16
 
12.7%
D 11
 
8.7%
E 8
 
6.3%
G 6
 
4.8%
L 5
 
4.0%
S 4
 
3.2%
t 3
 
2.4%
H 3
 
2.4%
C 3
 
2.4%
Other values (11) 22
17.5%
Common
ValueCountFrequency (%)
6916
46.2%
1 2510
 
16.8%
2 870
 
5.8%
- 636
 
4.2%
0 592
 
4.0%
3 564
 
3.8%
5 527
 
3.5%
4 465
 
3.1%
6 418
 
2.8%
7 371
 
2.5%
Other values (8) 1109
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17419
53.6%
ASCII 15104
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6916
45.8%
1 2510
 
16.6%
2 870
 
5.8%
- 636
 
4.2%
0 592
 
3.9%
3 564
 
3.7%
5 527
 
3.5%
4 465
 
3.1%
6 418
 
2.8%
7 371
 
2.5%
Other values (29) 1235
 
8.2%
Hangul
ValueCountFrequency (%)
아 1260
 
7.2%
산 1234
 
7.1%
시 1160
 
6.7%
도 1156
 
6.6%
남 1128
 
6.5%
충 1115
 
6.4%
청 1115
 
6.4%
층 950
 
5.5%
리 724
 
4.2%
동 705
 
4.0%
Other values (259) 6872
39.5%

영업장면적(건물내부+건물외부)
Real number (ℝ)

Distinct995
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.911637
Minimum0
Maximum769.24
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2024-01-10T07:14:37.971751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.7265
Q114.4075
median38.78
Q375.195
95-th percentile220.1575
Maximum769.24
Range769.24
Interquartile range (IQR)60.7875

Descriptive statistics

Standard deviation87.485783
Coefficient of variation (CV)1.3273192
Kurtosis15.78704
Mean65.911637
Median Absolute Deviation (MAD)27.405
Skewness3.4105833
Sum73293.74
Variance7653.7622
MonotonicityNot monotonic
2024-01-10T07:14:38.082000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.33 7
 
0.6%
10.0 7
 
0.6%
36.0 6
 
0.5%
45.0 5
 
0.4%
18.0 5
 
0.4%
9.3 4
 
0.4%
9.32 4
 
0.4%
0.0 4
 
0.4%
33.0 4
 
0.4%
40.0 3
 
0.3%
Other values (985) 1063
95.6%
ValueCountFrequency (%)
0.0 4
0.4%
0.6 1
 
0.1%
1.4 1
 
0.1%
1.85 1
 
0.1%
2.0 1
 
0.1%
2.02 1
 
0.1%
2.17 1
 
0.1%
2.19 1
 
0.1%
2.2 1
 
0.1%
2.25 1
 
0.1%
ValueCountFrequency (%)
769.24 1
0.1%
714.36 1
0.1%
657.0 1
0.1%
617.8 1
0.1%
602.04 1
0.1%
598.34 1
0.1%
494.0 1
0.1%
486.48 1
0.1%
480.0 1
0.1%
467.73 1
0.1%

소재지전화
Text

MISSING 

Distinct478
Distinct (%)97.8%
Missing623
Missing (%)56.0%
Memory size8.8 KiB
2024-01-10T07:14:38.285821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.02045
Min length9

Characters and Unicode

Total characters5878
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

Unique470 ?
Unique (%)96.1%

Sample

1st row041-541-2070
2nd row041-543-8084
3rd row041-531-2036
4th row041-542-0150
5th row041-546-1541
ValueCountFrequency (%)
02-525-2660 3
 
0.6%
041-539-2000 3
 
0.6%
02-3284-8116 3
 
0.6%
041-551-2817 2
 
0.4%
041-541-7100 2
 
0.4%
041-531-2733 2
 
0.4%
041-533-1166 2
 
0.4%
041-542-0748 2
 
0.4%
041-533-5678 1
 
0.2%
041-911-9153 1
 
0.2%
Other values (468) 468
95.7%
2024-01-10T07:14:38.620471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 976
16.6%
- 975
16.6%
0 862
14.7%
1 766
13.0%
5 730
12.4%
3 423
7.2%
2 298
 
5.1%
8 245
 
4.2%
7 229
 
3.9%
9 201
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4903
83.4%
Dash Punctuation 975
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 976
19.9%
0 862
17.6%
1 766
15.6%
5 730
14.9%
3 423
8.6%
2 298
 
6.1%
8 245
 
5.0%
7 229
 
4.7%
9 201
 
4.1%
6 173
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 975
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5878
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 976
16.6%
- 975
16.6%
0 862
14.7%
1 766
13.0%
5 730
12.4%
3 423
7.2%
2 298
 
5.1%
8 245
 
4.2%
7 229
 
3.9%
9 201
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5878
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 976
16.6%
- 975
16.6%
0 862
14.7%
1 766
13.0%
5 730
12.4%
3 423
7.2%
2 298
 
5.1%
8 245
 
4.2%
7 229
 
3.9%
9 201
 
3.4%

업태명
Categorical

Distinct12
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
커피숍
489 
편의점
209 
기타 휴게음식점
123 
일반조리판매
106 
다방
76 
Other values (7)
109 

Length

Max length8
Median length3
Mean length3.926259
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row다방
2nd row다방
3rd row다방
4th row커피숍
5th row다방

Common Values

ValueCountFrequency (%)
커피숍 489
44.0%
편의점 209
18.8%
기타 휴게음식점 123
 
11.1%
일반조리판매 106
 
9.5%
다방 76
 
6.8%
패스트푸드 56
 
5.0%
푸드트럭 30
 
2.7%
아이스크림 11
 
1.0%
전통찻집 7
 
0.6%
키즈카페 3
 
0.3%
Other values (2) 2
 
0.2%

Length

2024-01-10T07:14:38.735900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 489
39.6%
편의점 209
16.9%
기타 123
 
10.0%
휴게음식점 123
 
10.0%
일반조리판매 106
 
8.6%
다방 76
 
6.2%
패스트푸드 56
 
4.5%
푸드트럭 30
 
2.4%
아이스크림 11
 
0.9%
전통찻집 7
 
0.6%
Other values (3) 5
 
0.4%

Interactions

2024-01-10T07:14:35.276361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:14:35.130719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:14:35.349667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:14:35.199042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:14:38.797299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호영업장면적(건물내부+건물외부)업태명
인허가번호1.0000.0000.525
영업장면적(건물내부+건물외부)0.0001.0000.281
업태명0.5250.2811.000
2024-01-10T07:14:38.866358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호영업장면적(건물내부+건물외부)업태명
인허가번호1.000-0.0030.253
영업장면적(건물내부+건물외부)-0.0031.0000.121
업태명0.2530.1211.000

Missing values

2024-01-10T07:14:35.452884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:14:35.561428image/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.
2024-01-10T07:14:35.662021image/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
0휴게음식점197604610191976-03-15난다방충청남도 아산시 둔포면 둔포면로 2충청남도 아산시 둔포면 둔포리 420-966.69041-541-2070다방
1휴게음식점197604610231976-03-15영다방충청남도 아산시 도고면 아산만로214번길 9충청남도 아산시 도고면 신언리 17536.61041-543-8084다방
2휴게음식점197604610311976-03-15사랑방 다방충청남도 아산시 둔포면 둔포중앙로 119충청남도 아산시 둔포면 둔포리 476-742.49041-531-2036다방
3휴게음식점197604610251976-03-15촌카페충청남도 아산시 도고면 아산만로 199-5충청남도 아산시 도고면 신언리 142-738.62041-542-0150커피숍
4휴게음식점197804610031978-07-18태경다방충청남도 아산시 시장길 11-6 (온천동)충청남도 아산시 온천동 40-520.0041-546-1541다방
5휴게음식점197904610121979-10-02정다방충청남도 아산시 영인면 영인로 65, 2층충청남도 아산시 영인면 아산리 460-7 2층40.65041-542-5344다방
6휴게음식점198104610061981-04-10유정다방충청남도 아산시 인주면 아산만로 1305-4충청남도 아산시 인주면 밀두리 132-249.05041-533-1875다방
7휴게음식점198204610161982-05-21용다방<NA>충청남도 아산시 읍내동 13739.72041-545-8351다방
8휴게음식점198204610221982-07-19이화다방충청남도 아산시 온천대로 1509-3, 지하1층 (온천동)충청남도 아산시 온천동 86-3 지하1층106.68041-545-2739다방
9휴게음식점198204610371982-11-06희다방충청남도 아산시 청운로84번길 12 (온천동)충청남도 아산시 온천동 78-8107.97041-545-5300다방
업종명인허가번호인허가일자업소명소재지(도로명)소재지(지번)영업장면적(건물내부+건물외부)소재지전화업태명
1102휴게음식점202306511932023-02-27국가대표커피충청남도 아산시 남부로 370-24, 이순신종합운동장 내 푸드트럭존 (풍기동)충청남도 아산시 풍기동 366-1 이순신종합운동장 내 푸드트럭존14.17<NA>푸드트럭
1103휴게음식점202306511962023-02-27햇님유통충청남도 아산시 남부로 370-24, 이순신종합운동장 내 푸드트럭존 (풍기동)충청남도 아산시 풍기동 366-1 이순신종합운동장 내 푸드트럭존9.51<NA>푸드트럭
1104휴게음식점202306512082023-03-02델리퍼피충청남도 아산시 탕정면 한들물빛5로 36, G동 2층 204(일부)호 (한들물빛도시지웰시티센트럴푸르지오3단지)충청남도 아산시 탕정면 매곡리 1387 한들물빛도시지웰시티센트럴푸르지오3단지 G동 204(일부)호25.38070-8648-3119커피숍
1105휴게음식점202306512102023-03-02세븐일레븐 아산둔포송용점충청남도 아산시 둔포면 윤보선로 458, 1층 일부충청남도 아산시 둔포면 송용리 330-1 1층 일부5.42<NA>편의점
1106휴게음식점202306512362023-03-09컵오브커피 탕정매곡점충청남도 아산시 탕정면 한들물빛6로 32, 1층 105호충청남도 아산시 탕정면 매곡리 1210 1층 105호42.0<NA>커피숍
1107휴게음식점202306512462023-03-13오니디저트충청남도 아산시 배방읍 공원로16번길 22, 1층 101호충청남도 아산시 배방읍 장재리 1668 1층 101호52.92<NA>기타 휴게음식점
1108휴게음식점202306512472023-03-13신나고충청남도 아산시 배방읍 배방로 58-44, 알뜰시장 1층 (아산배방 우방아이유쉘 2차)충청남도 아산시 배방읍 공수리 1730 아산배방 우방아이유쉘 2차 알뜰시장 1층9.67<NA>푸드트럭
1109휴게음식점202306512542023-03-14지에스25 아산번영점충청남도 아산시 번영로206번길 13, 1층 (모종동)충청남도 아산시 모종동 564-25 1층9.88<NA>편의점
1110휴게음식점202306512562023-03-15보리마루 3호점충청남도 아산시 배방읍 배방로 58-44, 208동 앞 알뜰시장 1층 (아산배방 우방아이유쉘 2차)충청남도 아산시 배방읍 공수리 1730 아산배방 우방아이유쉘 2차 208동 앞 알뜰시장 1층8.97<NA>푸드트럭
1111휴게음식점202306512642023-03-17메가엠지씨커피 선문대점충청남도 아산시 탕정면 탕정면로 118, 1층 101호충청남도 아산시 탕정면 갈산리 81-10 1층 101호99.56<NA>커피숍