Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory54.3 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description부산광역시 동래구 관내 자원봉사할인가맹정 현황에 대한 데이터로 상호명, 도로명주소, 해당동, 할인(우대)내용, 전화번호 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/3079372/fileData.do

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:20:32.858900
Analysis finished2024-03-14 18:20:34.072514
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-15T03:20:34.262457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-03-15T03:20:34.739590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

상호명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T03:20:35.633926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6
Min length3

Characters and Unicode

Total characters144
Distinct characters83
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row눈사랑안경
2nd row눈빛안경
3rd row으뜸50안경 동래점
4th row무극안경콘택트명륜점
5th row밝은세상안경원 동래점
ValueCountFrequency (%)
동래점 2
 
6.7%
눈사랑안경 1
 
3.3%
국민태권도 1
 
3.3%
제과점 1
 
3.3%
빠리쟝 1
 
3.3%
장수원 1
 
3.3%
황금성 1
 
3.3%
곰장어 1
 
3.3%
산 1
 
3.3%
토박이 1
 
3.3%
Other values (19) 19
63.3%
2024-03-15T03:20:36.949895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 8
 
5.6%
경 7
 
4.9%
6
 
4.2%
점 5
 
3.5%
동 4
 
2.8%
래 4
 
2.8%
미 4
 
2.8%
0 3
 
2.1%
원 3
 
2.1%
눈 3
 
2.1%
Other values (73) 97
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
90.3%
Space Separator 6
 
4.2%
Decimal Number 6
 
4.2%
Uppercase Letter 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 8
 
6.2%
경 7
 
5.4%
점 5
 
3.8%
동 4
 
3.1%
래 4
 
3.1%
미 4
 
3.1%
원 3
 
2.3%
눈 3
 
2.3%
용 3
 
2.3%
실 3
 
2.3%
Other values (67) 86
66.2%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
1 2
33.3%
5 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
90.3%
Common 12
 
8.3%
Latin 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 8
 
6.2%
경 7
 
5.4%
점 5
 
3.8%
동 4
 
3.1%
래 4
 
3.1%
미 4
 
3.1%
원 3
 
2.3%
눈 3
 
2.3%
용 3
 
2.3%
실 3
 
2.3%
Other values (67) 86
66.2%
Common
ValueCountFrequency (%)
6
50.0%
0 3
25.0%
1 2
 
16.7%
5 1
 
8.3%
Latin
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
90.3%
ASCII 14
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 8
 
6.2%
경 7
 
5.4%
점 5
 
3.8%
동 4
 
3.1%
래 4
 
3.1%
미 4
 
3.1%
원 3
 
2.3%
눈 3
 
2.3%
용 3
 
2.3%
실 3
 
2.3%
Other values (67) 86
66.2%
ASCII
ValueCountFrequency (%)
6
42.9%
0 3
21.4%
1 2
 
14.3%
O 1
 
7.1%
5 1
 
7.1%
K 1
 
7.1%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T03:20:37.800859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length25.583333
Min length22

Characters and Unicode

Total characters614
Distinct characters57
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 충렬대로 255(수안동)힘찬병원 1층
2nd row부산광역시 동래구 충렬대로107번길 29(온천동)
3rd row부산광역시 동래구 충렬대로245번길1(수안동)
4th row부산광역시 동래구 명륜로 190(명륜동)
5th row부산광역시 동래구 동래로136번길 7(복천동)
ValueCountFrequency (%)
부산광역시 24
25.5%
동래구 24
25.5%
충렬대로 3
 
3.2%
명륜로 3
 
3.2%
16(수안동 1
 
1.1%
충렬대로433번길 1
 
1.1%
21(안락동 1
 
1.1%
명안로86번길 1
 
1.1%
29(명장동 1
 
1.1%
명장로20번길91(명장동 1
 
1.1%
Other values (34) 34
36.2%
2024-03-15T03:20:39.053432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
11.6%
동 50
 
8.1%
래 26
 
4.2%
1 26
 
4.2%
산 25
 
4.1%
부 24
 
3.9%
( 24
 
3.9%
광 24
 
3.9%
역 24
 
3.9%
시 24
 
3.9%
Other values (47) 296
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
63.4%
Decimal Number 104
 
16.9%
Space Separator 71
 
11.6%
Open Punctuation 24
 
3.9%
Close Punctuation 24
 
3.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
12.9%
래 26
 
6.7%
산 25
 
6.4%
부 24
 
6.2%
광 24
 
6.2%
역 24
 
6.2%
시 24
 
6.2%
구 24
 
6.2%
로 24
 
6.2%
명 16
 
4.1%
Other values (33) 128
32.9%
Decimal Number
ValueCountFrequency (%)
1 26
25.0%
2 14
13.5%
3 10
 
9.6%
9 10
 
9.6%
4 10
 
9.6%
7 9
 
8.7%
5 9
 
8.7%
8 6
 
5.8%
0 6
 
5.8%
6 4
 
3.8%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
63.4%
Common 225
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
12.9%
래 26
 
6.7%
산 25
 
6.4%
부 24
 
6.2%
광 24
 
6.2%
역 24
 
6.2%
시 24
 
6.2%
구 24
 
6.2%
로 24
 
6.2%
명 16
 
4.1%
Other values (33) 128
32.9%
Common
ValueCountFrequency (%)
71
31.6%
1 26
 
11.6%
( 24
 
10.7%
) 24
 
10.7%
2 14
 
6.2%
3 10
 
4.4%
9 10
 
4.4%
4 10
 
4.4%
7 9
 
4.0%
5 9
 
4.0%
Other values (4) 18
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
63.4%
ASCII 225
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
31.6%
1 26
 
11.6%
( 24
 
10.7%
) 24
 
10.7%
2 14
 
6.2%
3 10
 
4.4%
9 10
 
4.4%
4 10
 
4.4%
7 9
 
4.0%
5 9
 
4.0%
Other values (4) 18
 
8.0%
Hangul
ValueCountFrequency (%)
동 50
 
12.9%
래 26
 
6.7%
산 25
 
6.4%
부 24
 
6.2%
광 24
 
6.2%
역 24
 
6.2%
시 24
 
6.2%
구 24
 
6.2%
로 24
 
6.2%
명 16
 
4.1%
Other values (33) 128
32.9%

해당동
Categorical

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size320.0 B
수민동
6 
명륜동
4 
복산동
4 
온천동
3 
온천1동
2 
Other values (3)
5 

Length

Max length4
Median length3
Mean length3.0833333
Min length3

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row수민동
2nd row온천동
3rd row수민동
4th row명륜동
5th row복산동

Common Values

ValueCountFrequency (%)
수민동 6
25.0%
명륜동 4
16.7%
복산동 4
16.7%
온천동 3
12.5%
온천1동 2
 
8.3%
사직동 2
 
8.3%
명장동 2
 
8.3%
안락동 1
 
4.2%

Length

2024-03-15T03:20:39.273942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:20:39.473536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수민동 6
25.0%
명륜동 4
16.7%
복산동 4
16.7%
온천동 3
12.5%
온천1동 2
 
8.3%
사직동 2
 
8.3%
명장동 2
 
8.3%
안락동 1
 
4.2%

할인(우대)내용
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T03:20:40.303336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length19.5
Min length10

Characters and Unicode

Total characters468
Distinct characters82
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)79.2%

Sample

1st row국산안경테 50%, 콘텍트렌즈 30%할인(1회용제외)
2nd row의료기, 안경렌즈, 안경테, 보청기 (일부품목 5%~50% 상이)
3rd row상품금액의 15% 할인(1회용콘택트렌즈, 약품제외)
4th row안경테, 선글라스 30%할인
5th row상품금액의 20% 할인(1회용콘택트렌즈, 약품제외)
ValueCountFrequency (%)
10 10
 
11.5%
이용금액의 9
 
10.3%
할인 9
 
10.3%
5 5
 
5.7%
상품금액의 5
 
5.7%
제외 4
 
4.6%
할인(1회용콘택트렌즈 3
 
3.4%
약품제외 3
 
3.4%
할인(부품대 2
 
2.3%
안경테 2
 
2.3%
Other values (34) 35
40.2%
2024-03-15T03:20:41.390519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
15.0%
% 26
 
5.6%
할 22
 
4.7%
인 22
 
4.7%
품 18
 
3.8%
0 18
 
3.8%
1 17
 
3.6%
용 16
 
3.4%
의 16
 
3.4%
액 15
 
3.2%
Other values (72) 228
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
59.6%
Space Separator 70
 
15.0%
Decimal Number 50
 
10.7%
Other Punctuation 40
 
8.5%
Close Punctuation 14
 
3.0%
Open Punctuation 14
 
3.0%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
할 22
 
7.9%
인 22
 
7.9%
품 18
 
6.5%
용 16
 
5.7%
의 16
 
5.7%
액 15
 
5.4%
금 14
 
5.0%
이 11
 
3.9%
제 9
 
3.2%
외 8
 
2.9%
Other values (60) 128
45.9%
Decimal Number
ValueCountFrequency (%)
0 18
36.0%
1 17
34.0%
5 9
18.0%
3 4
 
8.0%
2 2
 
4.0%
Other Punctuation
ValueCountFrequency (%)
% 26
65.0%
, 13
32.5%
/ 1
 
2.5%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
59.6%
Common 189
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
할 22
 
7.9%
인 22
 
7.9%
품 18
 
6.5%
용 16
 
5.7%
의 16
 
5.7%
액 15
 
5.4%
금 14
 
5.0%
이 11
 
3.9%
제 9
 
3.2%
외 8
 
2.9%
Other values (60) 128
45.9%
Common
ValueCountFrequency (%)
70
37.0%
% 26
 
13.8%
0 18
 
9.5%
1 17
 
9.0%
) 14
 
7.4%
( 14
 
7.4%
, 13
 
6.9%
5 9
 
4.8%
3 4
 
2.1%
2 2
 
1.1%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
59.6%
ASCII 189
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
37.0%
% 26
 
13.8%
0 18
 
9.5%
1 17
 
9.0%
) 14
 
7.4%
( 14
 
7.4%
, 13
 
6.9%
5 9
 
4.8%
3 4
 
2.1%
2 2
 
1.1%
Other values (2) 2
 
1.1%
Hangul
ValueCountFrequency (%)
할 22
 
7.9%
인 22
 
7.9%
품 18
 
6.5%
용 16
 
5.7%
의 16
 
5.7%
액 15
 
5.4%
금 14
 
5.0%
이 11
 
3.9%
제 9
 
3.2%
외 8
 
2.9%
Other values (60) 128
45.9%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T03:20:42.286854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters290
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

Unique24 ?
Unique (%)100.0%

Sample

1st row051-553-5255
2nd row051-552-2883
3rd row051-552-4819
4th row051-555-9898
5th row051-526-5063
ValueCountFrequency (%)
051-553-5255 1
 
4.2%
051-552-2883 1
 
4.2%
051-555-5326 1
 
4.2%
051-558-0543 1
 
4.2%
051-505-8331 1
 
4.2%
051-553-2512 1
 
4.2%
051-554-0505 1
 
4.2%
051-553-0945 1
 
4.2%
051-555-9454 1
 
4.2%
051-555-4983 1
 
4.2%
Other values (14) 14
58.3%
2024-03-15T03:20:43.479165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 82
28.3%
- 48
16.6%
0 42
14.5%
1 30
 
10.3%
3 20
 
6.9%
2 19
 
6.6%
4 18
 
6.2%
8 12
 
4.1%
9 9
 
3.1%
6 5
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 242
83.4%
Dash Punctuation 48
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 82
33.9%
0 42
17.4%
1 30
 
12.4%
3 20
 
8.3%
2 19
 
7.9%
4 18
 
7.4%
8 12
 
5.0%
9 9
 
3.7%
6 5
 
2.1%
7 5
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 82
28.3%
- 48
16.6%
0 42
14.5%
1 30
 
10.3%
3 20
 
6.9%
2 19
 
6.6%
4 18
 
6.2%
8 12
 
4.1%
9 9
 
3.1%
6 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 82
28.3%
- 48
16.6%
0 42
14.5%
1 30
 
10.3%
3 20
 
6.9%
2 19
 
6.6%
4 18
 
6.2%
8 12
 
4.1%
9 9
 
3.1%
6 5
 
1.7%

Interactions

2024-03-15T03:20:33.259759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:20:43.671154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소해당동할인(우대)내용전화번호
연번1.0001.0001.0000.3210.6051.000
상호명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
해당동0.3211.0001.0001.0000.0001.000
할인(우대)내용0.6051.0001.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2024-03-15T03:20:44.159256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번해당동
연번1.0000.000
해당동0.0001.000

Missing values

2024-03-15T03:20:33.592941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:20:33.934636image/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

연번상호명도로명주소해당동할인(우대)내용전화번호
01눈사랑안경부산광역시 동래구 충렬대로 255(수안동)힘찬병원 1층수민동국산안경테 50%, 콘텍트렌즈 30%할인(1회용제외)051-553-5255
12눈빛안경부산광역시 동래구 충렬대로107번길 29(온천동)온천동의료기, 안경렌즈, 안경테, 보청기 (일부품목 5%~50% 상이)051-552-2883
23으뜸50안경 동래점부산광역시 동래구 충렬대로245번길1(수안동)수민동상품금액의 15% 할인(1회용콘택트렌즈, 약품제외)051-552-4819
34무극안경콘택트명륜점부산광역시 동래구 명륜로 190(명륜동)명륜동안경테, 선글라스 30%할인051-555-9898
45밝은세상안경원 동래점부산광역시 동래구 동래로136번길 7(복천동)복산동상품금액의 20% 할인(1회용콘택트렌즈, 약품제외)051-526-5063
56동래세컨페이스부산광역시 동래구 명륜로 105(명륜동)명륜동상품금액의 20% 할인(안경테,콘택트렌즈/1회용품 제외)051-554-2080
671001안경부산광역시 동래구 금강로 154(온천동)온천1동상품금액의 30% 할인(1회용콘택트렌즈, 고글, 약품제외)051-552-3400
78희망통닭부산광역시 동래구 명륜로98번길94(낙민동)수민동전품목 10% 할인051-555-0073
89마르메종과자점부산광역시 동래구 명륜로75번길12(수안동)수민동이용금액의 10% 할인051-552-3344
910OK세차정비부산광역시 동래구 동래로 120-1(복천동)복산동정비공임의 10% 할인(부품대 제외)051-555-4131
연번상호명도로명주소해당동할인(우대)내용전화번호
1415안수련미용실부산광역시 동래구 명장로20번길91(명장동)명장동이용금액의 10%051-523-7972
1516미래부동산부산광역시 동래구 충렬대로 237번길 148(명륜동)명륜동법정중개보수액10%할인051-555-4983
1617꼬리집부산광역시 동래구 명륜로98번길 16(수안동)수민동상품(이용)가격 5% 할인(곰탕, 설렁탕)051-555-9454
1718머리사랑미용실부산광역시 동래구 명륜로98번길111(칠산동)복산동이용금액의 5% 할인(파마만 적용)051-553-0945
1819토탈꽃집부산광역시 동래구 명륜로 146-3(명륜동)명륜동이용금액의 5% 할인051-554-0505
1920토박이 산 곰장어부산광역시 동래구 온천장로107번길45(온천동)온천1동이용금액의 5% 할인051-553-2512
2021황금성부산광역시 동래구 중앙대로1277번길 124(사직동)사직동이용금액의 10% 할인051-505-8331
2122장수원부산광역시 동래구 명륜로94번길 51(복천동)복산동이용금액의 5% 할인(수백,돼지국밥)051-558-0543
2223빠리쟝 제과점부산광역시 동래구 충렬대로 237번길74(수안동)수민동이용금액의 3% 할인(자가생산제품에 한해)051-555-5326
2324엔젤인펫츠부산광역시 동래구 중앙대로1333번길 12(온천동)온천동일부품목(소고기, 연어 식품 제외) 10% 할인0507-1400-4860