Overview

Dataset statistics

Number of variables6
Number of observations255
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory48.5 B

Variable types

Categorical2
Text4

Dataset

Description울산광역시에서 저출산 문제를 극복하기 위해 다자녀 가정우대를 위한 울산다자녀 사랑카드 가맹업체 현황 정보를 제공하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15083327/fileData.do

Reproduction

Analysis started2023-12-12 06:29:47.591644
Analysis finished2023-12-12 06:29:48.473480
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct27
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
주차장
81 
공공시설
52 
병원·약국
24 
안경점
13 
기타
12 
Other values (22)
73 

Length

Max length13
Median length8
Mean length3.8901961
Min length2

Unique

Unique10 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
주차장 81
31.8%
공공시설 52
20.4%
병원·약국 24
 
9.4%
안경점 13
 
5.1%
기타 12
 
4.7%
이·미용업 등 공중위생업 10
 
3.9%
학원 8
 
3.1%
유통업체 6
 
2.4%
제과점 6
 
2.4%
사진관 6
 
2.4%
Other values (17) 37
14.5%

Length

2023-12-12T15:29:48.577258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주차장 81
29.5%
공공시설 52
18.9%
병원·약국 24
 
8.7%
안경점 13
 
4.7%
기타 12
 
4.4%
이·미용업 10
 
3.6%
등 10
 
3.6%
공중위생업 10
 
3.6%
학원 8
 
2.9%
유통업체 6
 
2.2%
Other values (19) 49
17.8%

업체명
Text

Distinct254
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:29:48.934844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length6.8980392
Min length2

Characters and Unicode

Total characters1759
Distinct characters325
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)99.2%

Sample

1st row보라매광고
2nd row현대종합광고
3rd row김영란 플라워샵
4th row명정꽃화원
5th row성안꽃집
ValueCountFrequency (%)
공영주차장 5
 
1.6%
육아종합지원센터 4
 
1.2%
노상 4
 
1.2%
태화강 3
 
0.9%
울주군 3
 
0.9%
등 2
 
0.6%
부산 2
 
0.6%
청소년센터 2
 
0.6%
베이커리 2
 
0.6%
남구 2
 
0.6%
Other values (290) 292
91.0%
2023-12-12T15:29:49.486224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
3.8%
원 59
 
3.4%
장 53
 
3.0%
산 34
 
1.9%
화 33
 
1.9%
공 30
 
1.7%
동 30
 
1.7%
영 28
 
1.6%
주 27
 
1.5%
울 27
 
1.5%
Other values (315) 1372
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1652
93.9%
Space Separator 66
 
3.8%
Decimal Number 16
 
0.9%
Close Punctuation 8
 
0.5%
Open Punctuation 8
 
0.5%
Other Punctuation 4
 
0.2%
Uppercase Letter 3
 
0.2%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 59
 
3.6%
장 53
 
3.2%
산 34
 
2.1%
화 33
 
2.0%
공 30
 
1.8%
동 30
 
1.8%
영 28
 
1.7%
주 27
 
1.6%
울 27
 
1.6%
차 26
 
1.6%
Other values (301) 1305
79.0%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
2 5
31.2%
4 2
 
12.5%
3 2
 
12.5%
5 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
K 1
33.3%
S 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
· 1
 
25.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1654
94.0%
Common 102
 
5.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 59
 
3.6%
장 53
 
3.2%
산 34
 
2.1%
화 33
 
2.0%
공 30
 
1.8%
동 30
 
1.8%
영 28
 
1.7%
주 27
 
1.6%
울 27
 
1.6%
차 26
 
1.6%
Other values (302) 1307
79.0%
Common
ValueCountFrequency (%)
66
64.7%
) 8
 
7.8%
( 8
 
7.8%
1 6
 
5.9%
2 5
 
4.9%
, 3
 
2.9%
4 2
 
2.0%
3 2
 
2.0%
· 1
 
1.0%
5 1
 
1.0%
Latin
ValueCountFrequency (%)
D 1
33.3%
K 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1652
93.9%
ASCII 104
 
5.9%
None 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
63.5%
) 8
 
7.7%
( 8
 
7.7%
1 6
 
5.8%
2 5
 
4.8%
, 3
 
2.9%
4 2
 
1.9%
3 2
 
1.9%
D 1
 
1.0%
K 1
 
1.0%
Other values (2) 2
 
1.9%
Hangul
ValueCountFrequency (%)
원 59
 
3.6%
장 53
 
3.2%
산 34
 
2.1%
화 33
 
2.0%
공 30
 
1.8%
동 30
 
1.8%
영 28
 
1.7%
주 27
 
1.6%
울 27
 
1.6%
차 26
 
1.6%
Other values (301) 1305
79.0%
None
ValueCountFrequency (%)
㈜ 2
66.7%
· 1
33.3%

소재지
Text

Distinct252
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:29:50.037214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length20.533333
Min length11

Characters and Unicode

Total characters5236
Distinct characters201
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

Unique249 ?
Unique (%)97.6%

Sample

1st row울산광역시 남구 북부순환도로 46
2nd row울산광역시 남구 어은로14번길 22
3rd row울산광역시 남구 문수로369번길 6
4th row울산광역시 중구 신기9길 37
5th row울산광역시 중구 함월22길 24 벽산e빌리지
ValueCountFrequency (%)
울산광역시 249
21.3%
남구 83
 
7.1%
중구 76
 
6.5%
동구 35
 
3.0%
북구 31
 
2.7%
신정동 24
 
2.1%
울주군 24
 
2.1%
태화동 9
 
0.8%
번영로 8
 
0.7%
삼산동 7
 
0.6%
Other values (427) 622
53.3%
2023-12-12T15:29:50.741388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
917
17.5%
산 290
 
5.5%
울 274
 
5.2%
시 255
 
4.9%
역 254
 
4.9%
광 253
 
4.8%
구 241
 
4.6%
동 200
 
3.8%
1 170
 
3.2%
로 143
 
2.7%
Other values (191) 2239
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3200
61.1%
Space Separator 917
 
17.5%
Decimal Number 831
 
15.9%
Close Punctuation 102
 
1.9%
Open Punctuation 102
 
1.9%
Dash Punctuation 64
 
1.2%
Other Punctuation 10
 
0.2%
Math Symbol 5
 
0.1%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 290
 
9.1%
울 274
 
8.6%
시 255
 
8.0%
역 254
 
7.9%
광 253
 
7.9%
구 241
 
7.5%
동 200
 
6.2%
로 143
 
4.5%
남 104
 
3.2%
중 84
 
2.6%
Other values (170) 1102
34.4%
Decimal Number
ValueCountFrequency (%)
1 170
20.5%
2 107
12.9%
3 102
12.3%
4 81
9.7%
5 78
9.4%
7 63
 
7.6%
6 62
 
7.5%
0 59
 
7.1%
9 58
 
7.0%
8 51
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
W 1
25.0%
B 1
25.0%
L 1
25.0%
Space Separator
ValueCountFrequency (%)
917
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3200
61.1%
Common 2031
38.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 290
 
9.1%
울 274
 
8.6%
시 255
 
8.0%
역 254
 
7.9%
광 253
 
7.9%
구 241
 
7.5%
동 200
 
6.2%
로 143
 
4.5%
남 104
 
3.2%
중 84
 
2.6%
Other values (170) 1102
34.4%
Common
ValueCountFrequency (%)
917
45.2%
1 170
 
8.4%
2 107
 
5.3%
3 102
 
5.0%
) 102
 
5.0%
( 102
 
5.0%
4 81
 
4.0%
5 78
 
3.8%
- 64
 
3.2%
7 63
 
3.1%
Other values (6) 245
 
12.1%
Latin
ValueCountFrequency (%)
A 1
20.0%
W 1
20.0%
e 1
20.0%
B 1
20.0%
L 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3200
61.1%
ASCII 2036
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
917
45.0%
1 170
 
8.3%
2 107
 
5.3%
3 102
 
5.0%
) 102
 
5.0%
( 102
 
5.0%
4 81
 
4.0%
5 78
 
3.8%
- 64
 
3.1%
7 63
 
3.1%
Other values (11) 250
 
12.3%
Hangul
ValueCountFrequency (%)
산 290
 
9.1%
울 274
 
8.6%
시 255
 
8.0%
역 254
 
7.9%
광 253
 
7.9%
구 241
 
7.5%
동 200
 
6.2%
로 143
 
4.5%
남 104
 
3.2%
중 84
 
2.6%
Other values (170) 1102
34.4%

연락처
Text

Distinct170
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T15:29:51.439636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters3060
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)62.4%

Sample

1st row052-247-8736
2nd row052-247-5442
3rd row052-260-0379
4th row052-211-2443
5th row052-245-4080
ValueCountFrequency (%)
052-290-7635 24
 
9.4%
052-226-0945 22
 
8.6%
052-209-3722 12
 
4.7%
052-255-5544 11
 
4.3%
052-290-7666 6
 
2.4%
052-256-6301 5
 
2.0%
052-229-9061 5
 
2.0%
052-255-5500 5
 
2.0%
052-275-4101 2
 
0.8%
052-226-4982 2
 
0.8%
Other values (160) 161
63.1%
2023-12-12T15:29:51.932639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 645
21.1%
- 509
16.6%
5 462
15.1%
0 459
15.0%
6 187
 
6.1%
9 175
 
5.7%
7 145
 
4.7%
4 138
 
4.5%
3 136
 
4.4%
1 112
 
3.7%
Other values (2) 92
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2550
83.3%
Dash Punctuation 509
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 645
25.3%
5 462
18.1%
0 459
18.0%
6 187
 
7.3%
9 175
 
6.9%
7 145
 
5.7%
4 138
 
5.4%
3 136
 
5.3%
1 112
 
4.4%
8 91
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 509
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3060
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 645
21.1%
- 509
16.6%
5 462
15.1%
0 459
15.0%
6 187
 
6.1%
9 175
 
5.7%
7 145
 
4.7%
4 138
 
4.5%
3 136
 
4.4%
1 112
 
3.7%
Other values (2) 92
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 645
21.1%
- 509
16.6%
5 462
15.1%
0 459
15.0%
6 187
 
6.1%
9 175
 
5.7%
7 145
 
4.7%
4 138
 
4.5%
3 136
 
4.4%
1 112
 
3.7%
Other values (2) 92
 
3.0%

우대내용
Text

Distinct80
Distinct (%)31.5%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2023-12-12T15:29:52.250325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length72
Mean length14.507874
Min length4

Characters and Unicode

Total characters3685
Distinct characters176
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)24.4%

Sample

1st row3% 할인
2nd row3% 할인
3rd row3% 할인
4th row5% 할인
5th row5% 할인
ValueCountFrequency (%)
할인 106
 
11.5%
감면 92
 
10.0%
당일 80
 
8.7%
이용요금의 80
 
8.7%
60 79
 
8.5%
10 35
 
3.8%
5 34
 
3.7%
20 27
 
2.9%
50 21
 
2.3%
비급여 16
 
1.7%
Other values (172) 354
38.3%
2023-12-12T15:29:52.686131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
675
 
18.3%
% 251
 
6.8%
0 220
 
6.0%
인 139
 
3.8%
할 132
 
3.6%
면 120
 
3.3%
감 120
 
3.3%
용 113
 
3.1%
이 111
 
3.0%
의 88
 
2.4%
Other values (166) 1716
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2127
57.7%
Space Separator 675
 
18.3%
Decimal Number 507
 
13.8%
Other Punctuation 276
 
7.5%
Open Punctuation 44
 
1.2%
Close Punctuation 43
 
1.2%
Math Symbol 8
 
0.2%
Dash Punctuation 4
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 139
 
6.5%
할 132
 
6.2%
면 120
 
5.6%
감 120
 
5.6%
용 113
 
5.3%
이 111
 
5.2%
의 88
 
4.1%
당 84
 
3.9%
금 83
 
3.9%
일 82
 
3.9%
Other values (144) 1055
49.6%
Decimal Number
ValueCountFrequency (%)
0 220
43.4%
5 79
 
15.6%
6 79
 
15.6%
1 57
 
11.2%
2 42
 
8.3%
3 24
 
4.7%
9 2
 
0.4%
7 2
 
0.4%
4 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
% 251
90.9%
, 15
 
5.4%
/ 3
 
1.1%
· 3
 
1.1%
: 2
 
0.7%
※ 1
 
0.4%
* 1
 
0.4%
Space Separator
ValueCountFrequency (%)
675
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2127
57.7%
Common 1557
42.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 139
 
6.5%
할 132
 
6.2%
면 120
 
5.6%
감 120
 
5.6%
용 113
 
5.3%
이 111
 
5.2%
의 88
 
4.1%
당 84
 
3.9%
금 83
 
3.9%
일 82
 
3.9%
Other values (144) 1055
49.6%
Common
ValueCountFrequency (%)
675
43.4%
% 251
 
16.1%
0 220
 
14.1%
5 79
 
5.1%
6 79
 
5.1%
1 57
 
3.7%
( 44
 
2.8%
) 43
 
2.8%
2 42
 
2.7%
3 24
 
1.5%
Other values (11) 43
 
2.8%
Latin
ValueCountFrequency (%)
L 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2127
57.7%
ASCII 1554
42.2%
None 3
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
675
43.4%
% 251
 
16.2%
0 220
 
14.2%
5 79
 
5.1%
6 79
 
5.1%
1 57
 
3.7%
( 44
 
2.8%
) 43
 
2.8%
2 42
 
2.7%
3 24
 
1.5%
Other values (10) 40
 
2.6%
Hangul
ValueCountFrequency (%)
인 139
 
6.5%
할 132
 
6.2%
면 120
 
5.6%
감 120
 
5.6%
용 113
 
5.3%
이 111
 
5.2%
의 88
 
4.1%
당 84
 
3.9%
금 83
 
3.9%
일 82
 
3.9%
Other values (144) 1055
49.6%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

시군구
Categorical

Distinct8
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
남구
83 
중구
75 
동구
36 
북구
32 
울주군
23 
Other values (3)
 
6

Length

Max length4
Median length2
Mean length2.0980392
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row남구
2nd row남구
3rd row남구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
남구 83
32.5%
중구 75
29.4%
동구 36
14.1%
북구 32
 
12.5%
울주군 23
 
9.0%
부산 4
 
1.6%
울산 1
 
0.4%
<NA> 1
 
0.4%

Length

2023-12-12T15:29:52.884892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:53.063044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 83
32.5%
중구 75
29.4%
동구 36
14.1%
북구 32
 
12.5%
울주군 23
 
9.0%
부산 4
 
1.6%
울산 1
 
0.4%
na 1
 
0.4%

Correlations

2023-12-12T15:29:53.184409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종우대내용시군구
업종1.0000.9590.310
우대내용0.9591.0000.913
시군구0.3100.9131.000
2023-12-12T15:29:53.284962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종시군구
업종1.0000.127
시군구0.1271.000
2023-12-12T15:29:53.382167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종시군구
업종1.0000.127
시군구0.1271.000

Missing values

2023-12-12T15:29:48.286581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:48.423775image/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

업종업체명소재지연락처우대내용시군구
0기타보라매광고울산광역시 남구 북부순환도로 46052-247-87363% 할인남구
1기타현대종합광고울산광역시 남구 어은로14번길 22052-247-54423% 할인남구
2기타김영란 플라워샵울산광역시 남구 문수로369번길 6052-260-03793% 할인남구
3기타명정꽃화원울산광역시 중구 신기9길 37052-211-24435% 할인중구
4기타성안꽃집울산광역시 중구 함월22길 24 벽산e빌리지052-245-40805% 할인중구
5도서·문구한샘서점울산광역시 중구 명륜로 73052-245-04575% 할인중구
6이·미용업 등 공중위생업로얄탕울산광역시 중구 신기8길 9 (태화동)052-243-0456500원 할인중구
7이·미용업 등 공중위생업봄파마울산광역시 북구 송내4길 8052-289-99895% 할인북구
8이·미용업 등 공중위생업헤라헤어모드울산광역시 북구 화봉로 76 블루클럽052-289-66175% 할인북구
9이·미용업 등 공중위생업고운헤어울산광역시 중구 학성로 95052-243-7893컷10% , 파마5% 할인중구
업종업체명소재지연락처우대내용시군구
245주차장삼산 노상울산광역시 남구 남구왕생로,달삼로 등052-226-0945당일 이용요금의 60% 감면남구
246주차장여천천2울산광역시 남구 신정동1826일원052-226-0945당일 이용요금의 60% 감면남구
247주차장신정로울산광역시 남구 신정로 일원052-226-0945당일 이용요금의 60% 감면남구
248주차장야음상가울산광역시 남구 수암로 224번길052-226-0945당일 이용요금의 60% 감면남구
249주차장삼호동울산광역시 남구 무거동 1252-6 외 3필지052-226-0945당일 이용요금의 60% 감면남구
250주차장농수산물도매시장 부설주차장울산광역시 남구 삼산로 324052-275-4101당일 이용요금의 50% 감면남구
251자동차정비업블루핸즈 옥동점울산광역시 남구 문수로 281 (옥동)052-266-6272공임비 10% 할인남구
252기타진하해수욕장울산광역시 울주군 서생면 진하리 307-2052-229-7635해수욕장시설 사용료 면제(다자녀 사랑카드 소지자 중 셋째 이상 자녀를 둔 가정)울주군
253기타㈜이엠아이코리아울산광역시 남구 봉월로 84 (신정동, 2층)052-268-21441인 여행경비 5% 할인(50,000원~200,000원 이상) 모두투어/하나투어 패키지 및 해외문화탐방남구
254기타부산 칠드런스 뮤지엄부산광역시 기장군 기장읍 기장해안로 172, 스타테라스건물 2층051-711-88623시간 입장권 15% 할인(다자녀사랑카드 발급대상자가 포함된 등본 필수, 등본에 기재된 인원 15% 할인)부산