Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells12
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description경상남도 양산시에 소재한 신문 업체에 관한 데이터로 제호, 종별, URL, 발행소 주소, 발행소 전화번호, 발행인 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15105147/fileData.do

Alerts

순번 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 순번High correlation
URL has 5 (15.6%) missing valuesMissing
발행소 전화번호 has 7 (21.9%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:18:30.622927
Analysis finished2023-12-12 02:18:31.463777
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T11:18:31.552087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-12T11:18:31.719611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

제호
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T11:18:31.947665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length11
Mean length6.3125
Min length4

Characters and Unicode

Total characters202
Distinct characters89
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

Unique28 ?
Unique (%)87.5%

Sample

1st row가야일보
2nd row양산신문
3rd row동남신문
4th row양산시민신문
5th row양산뉴스파크
ValueCountFrequency (%)
양산시민신문 2
 
5.7%
양산뉴스파크 2
 
5.7%
가야일보 1
 
2.9%
웅상포스트 1
 
2.9%
양산평생교육신문 1
 
2.9%
양산일보 1
 
2.9%
동남일보 1
 
2.9%
유튜버뉴스 1
 
2.9%
양산교육신문 1
 
2.9%
news(파이어볼뉴스 1
 
2.9%
Other values (23) 23
65.7%
2023-12-12T11:18:32.373279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 15
 
7.4%
양 14
 
6.9%
산 14
 
6.9%
뉴 9
 
4.5%
신 8
 
4.0%
문 8
 
4.0%
육 4
 
2.0%
교 4
 
2.0%
이 4
 
2.0%
보 3
 
1.5%
Other values (79) 119
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
83.7%
Uppercase Letter 15
 
7.4%
Lowercase Letter 11
 
5.4%
Space Separator 3
 
1.5%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 15
 
8.9%
양 14
 
8.3%
산 14
 
8.3%
뉴 9
 
5.3%
신 8
 
4.7%
문 8
 
4.7%
육 4
 
2.4%
교 4
 
2.4%
이 4
 
2.4%
보 3
 
1.8%
Other values (57) 86
50.9%
Uppercase Letter
ValueCountFrequency (%)
T 3
20.0%
V 2
13.3%
E 2
13.3%
S 2
13.3%
F 1
 
6.7%
W 1
 
6.7%
Y 1
 
6.7%
N 1
 
6.7%
M 1
 
6.7%
I 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
l 2
18.2%
s 1
9.1%
w 1
9.1%
n 1
9.1%
a 1
9.1%
b 1
9.1%
r 1
9.1%
i 1
9.1%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
83.7%
Latin 26
 
12.9%
Common 7
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 15
 
8.9%
양 14
 
8.3%
산 14
 
8.3%
뉴 9
 
5.3%
신 8
 
4.7%
문 8
 
4.7%
육 4
 
2.4%
교 4
 
2.4%
이 4
 
2.4%
보 3
 
1.8%
Other values (57) 86
50.9%
Latin
ValueCountFrequency (%)
T 3
 
11.5%
V 2
 
7.7%
e 2
 
7.7%
l 2
 
7.7%
E 2
 
7.7%
S 2
 
7.7%
s 1
 
3.8%
w 1
 
3.8%
n 1
 
3.8%
a 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
3
42.9%
( 2
28.6%
) 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
83.7%
ASCII 33
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 15
 
8.9%
양 14
 
8.3%
산 14
 
8.3%
뉴 9
 
5.3%
신 8
 
4.7%
문 8
 
4.7%
육 4
 
2.4%
교 4
 
2.4%
이 4
 
2.4%
보 3
 
1.8%
Other values (57) 86
50.9%
ASCII
ValueCountFrequency (%)
T 3
 
9.1%
3
 
9.1%
( 2
 
6.1%
) 2
 
6.1%
V 2
 
6.1%
e 2
 
6.1%
l 2
 
6.1%
E 2
 
6.1%
S 2
 
6.1%
s 1
 
3.0%
Other values (12) 12
36.4%

종별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
인터넷신문
26 
일반일간신문
3 
일반주간신문
3 

Length

Max length6
Median length5
Mean length5.1875
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반일간신문
2nd row일반일간신문
3rd row일반일간신문
4th row일반주간신문
5th row일반주간신문

Common Values

ValueCountFrequency (%)
인터넷신문 26
81.2%
일반일간신문 3
 
9.4%
일반주간신문 3
 
9.4%

Length

2023-12-12T11:18:32.506050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:18:32.614864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷신문 26
81.2%
일반일간신문 3
 
9.4%
일반주간신문 3
 
9.4%

URL
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing5
Missing (%)15.6%
Memory size388.0 B
2023-12-12T11:18:32.827141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length15.518519
Min length9

Characters and Unicode

Total characters419
Distinct characters40
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st rowwww.gayailbo.com
2nd rowwww.ystv.co.kr
3rd rowwww.i-news.kr
4th rowwww.gaonnews.kr
5th rowwww.ysnewspark.com
ValueCountFrequency (%)
www.gayailbo.com 1
 
3.7%
www.starkingchannel.com 1
 
3.7%
www.eduyangsan.modoo.at 1
 
3.7%
www.ysilbo.com 1
 
3.7%
ppnews.kr 1
 
3.7%
tubenews.kr 1
 
3.7%
www.hankook4.com 1
 
3.7%
www.newsfireball.com 1
 
3.7%
ysnews.co.kr 1
 
3.7%
www.oratory.co.kr 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T11:18:33.164482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 53
12.6%
. 49
 
11.7%
o 35
 
8.4%
s 30
 
7.2%
c 24
 
5.7%
n 23
 
5.5%
e 23
 
5.5%
m 21
 
5.0%
a 19
 
4.5%
r 19
 
4.5%
Other values (30) 123
29.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 345
82.3%
Other Punctuation 56
 
13.4%
Other Letter 12
 
2.9%
Dash Punctuation 5
 
1.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 53
15.4%
o 35
10.1%
s 30
 
8.7%
c 24
 
7.0%
n 23
 
6.7%
e 23
 
6.7%
m 21
 
6.1%
a 19
 
5.5%
r 19
 
5.5%
t 16
 
4.6%
Other values (13) 82
23.8%
Other Letter
ValueCountFrequency (%)
양 1
8.3%
문 1
8.3%
신 1
8.3%
육 1
8.3%
교 1
8.3%
산 1
8.3%
한 1
8.3%
스 1
8.3%
뉴 1
8.3%
린 1
8.3%
Other values (2) 2
16.7%
Other Punctuation
ValueCountFrequency (%)
. 49
87.5%
/ 5
 
8.9%
: 2
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 345
82.3%
Common 62
 
14.8%
Hangul 12
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 53
15.4%
o 35
10.1%
s 30
 
8.7%
c 24
 
7.0%
n 23
 
6.7%
e 23
 
6.7%
m 21
 
6.1%
a 19
 
5.5%
r 19
 
5.5%
t 16
 
4.6%
Other values (13) 82
23.8%
Hangul
ValueCountFrequency (%)
양 1
8.3%
문 1
8.3%
신 1
8.3%
육 1
8.3%
교 1
8.3%
산 1
8.3%
한 1
8.3%
스 1
8.3%
뉴 1
8.3%
린 1
8.3%
Other values (2) 2
16.7%
Common
ValueCountFrequency (%)
. 49
79.0%
- 5
 
8.1%
/ 5
 
8.1%
: 2
 
3.2%
4 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 407
97.1%
Hangul 12
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 53
13.0%
. 49
12.0%
o 35
 
8.6%
s 30
 
7.4%
c 24
 
5.9%
n 23
 
5.7%
e 23
 
5.7%
m 21
 
5.2%
a 19
 
4.7%
r 19
 
4.7%
Other values (18) 111
27.3%
Hangul
ValueCountFrequency (%)
양 1
8.3%
문 1
8.3%
신 1
8.3%
육 1
8.3%
교 1
8.3%
산 1
8.3%
한 1
8.3%
스 1
8.3%
뉴 1
8.3%
린 1
8.3%
Other values (2) 2
16.7%

발행소 주소
Text

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T11:18:33.433269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length31.25
Min length22

Characters and Unicode

Total characters1000
Distinct characters126
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

Unique19 ?
Unique (%)59.4%

Sample

1st row경남 양산시 옥곡7길 14, 5층(남부동)
2nd row경남 양산시 옥곡7길 14, 5층 (남부동)
3rd row경남 양산시 옥곡7길 14, 5층(남부동)
4th row경남 양산시 북부동 148-31번지 덕산빌딩 4층
5th row경남 양산시 물금읍 백호2길 101, 204호 (가촌리, 유타운)
ValueCountFrequency (%)
경남 32
 
14.5%
양산시 32
 
14.5%
물금읍 9
 
4.1%
14 5
 
2.3%
가촌리 5
 
2.3%
2층 5
 
2.3%
옥곡7길 5
 
2.3%
중부동 4
 
1.8%
삼호동 4
 
1.8%
160 4
 
1.8%
Other values (92) 115
52.3%
2023-12-12T11:18:33.857332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
19.0%
1 42
 
4.2%
산 40
 
4.0%
, 39
 
3.9%
양 38
 
3.8%
남 38
 
3.8%
시 34
 
3.4%
경 32
 
3.2%
( 31
 
3.1%
) 31
 
3.1%
Other values (116) 485
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
51.8%
Space Separator 190
 
19.0%
Decimal Number 179
 
17.9%
Other Punctuation 39
 
3.9%
Open Punctuation 31
 
3.1%
Close Punctuation 31
 
3.1%
Dash Punctuation 5
 
0.5%
Lowercase Letter 5
 
0.5%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 40
 
7.7%
양 38
 
7.3%
남 38
 
7.3%
시 34
 
6.6%
경 32
 
6.2%
동 25
 
4.8%
호 21
 
4.1%
층 16
 
3.1%
길 16
 
3.1%
로 15
 
2.9%
Other values (94) 243
46.9%
Decimal Number
ValueCountFrequency (%)
1 42
23.5%
0 26
14.5%
2 25
14.0%
3 18
10.1%
5 16
 
8.9%
4 16
 
8.9%
6 14
 
7.8%
7 14
 
7.8%
8 5
 
2.8%
9 3
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
u 1
20.0%
l 1
20.0%
e 1
20.0%
h 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
51.8%
Common 475
47.5%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 40
 
7.7%
양 38
 
7.3%
남 38
 
7.3%
시 34
 
6.6%
경 32
 
6.2%
동 25
 
4.8%
호 21
 
4.1%
층 16
 
3.1%
길 16
 
3.1%
로 15
 
2.9%
Other values (94) 243
46.9%
Common
ValueCountFrequency (%)
190
40.0%
1 42
 
8.8%
, 39
 
8.2%
( 31
 
6.5%
) 31
 
6.5%
0 26
 
5.5%
2 25
 
5.3%
3 18
 
3.8%
5 16
 
3.4%
4 16
 
3.4%
Other values (5) 41
 
8.6%
Latin
ValueCountFrequency (%)
s 1
14.3%
u 1
14.3%
P 1
14.3%
l 1
14.3%
T 1
14.3%
e 1
14.3%
h 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
51.8%
ASCII 482
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
39.4%
1 42
 
8.7%
, 39
 
8.1%
( 31
 
6.4%
) 31
 
6.4%
0 26
 
5.4%
2 25
 
5.2%
3 18
 
3.7%
5 16
 
3.3%
4 16
 
3.3%
Other values (12) 48
 
10.0%
Hangul
ValueCountFrequency (%)
산 40
 
7.7%
양 38
 
7.3%
남 38
 
7.3%
시 34
 
6.6%
경 32
 
6.2%
동 25
 
4.8%
호 21
 
4.1%
층 16
 
3.1%
길 16
 
3.1%
로 15
 
2.9%
Other values (94) 243
46.9%

발행소 전화번호
Text

MISSING 

Distinct18
Distinct (%)72.0%
Missing7
Missing (%)21.9%
Memory size388.0 B
2023-12-12T11:18:34.063590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.12
Min length12

Characters and Unicode

Total characters303
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

Unique14 ?
Unique (%)56.0%

Sample

1st row055-385-0114
2nd row055-385-0900
3rd row055-385-0114
4th row070-8846-0048
5th row055-385-1025
ValueCountFrequency (%)
055-382-0277 4
16.0%
055-385-0114 3
 
12.0%
070-8846-0048 2
 
8.0%
055-385-0900 2
 
8.0%
051-625-8003 1
 
4.0%
055-362-6767 1
 
4.0%
055-388-4279 1
 
4.0%
055-362-4424 1
 
4.0%
055-365-0275 1
 
4.0%
055-385-3734 1
 
4.0%
Other values (8) 8
32.0%
2023-12-12T11:18:34.407680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 57
18.8%
0 54
17.8%
- 50
16.5%
3 28
9.2%
8 25
8.3%
4 21
 
6.9%
2 20
 
6.6%
7 20
 
6.6%
6 13
 
4.3%
1 11
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 253
83.5%
Dash Punctuation 50
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 57
22.5%
0 54
21.3%
3 28
11.1%
8 25
9.9%
4 21
 
8.3%
2 20
 
7.9%
7 20
 
7.9%
6 13
 
5.1%
1 11
 
4.3%
9 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 303
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 57
18.8%
0 54
17.8%
- 50
16.5%
3 28
9.2%
8 25
8.3%
4 21
 
6.9%
2 20
 
6.6%
7 20
 
6.6%
6 13
 
4.3%
1 11
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 303
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 57
18.8%
0 54
17.8%
- 50
16.5%
3 28
9.2%
8 25
8.3%
4 21
 
6.9%
2 20
 
6.6%
7 20
 
6.6%
6 13
 
4.3%
1 11
 
3.6%

Interactions

2023-12-12T11:18:31.001056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:18:34.523906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번제호종별URL발행소 주소발행소 전화번호
순번1.0000.8830.8011.0000.8980.887
제호0.8831.0000.0001.0000.9781.000
종별0.8010.0001.0001.0000.0000.000
URL1.0001.0001.0001.0001.0001.000
발행소 주소0.8980.9780.0001.0001.0001.000
발행소 전화번호0.8871.0000.0001.0001.0001.000
2023-12-12T11:18:34.626298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종별
순번1.0000.599
종별0.5991.000

Missing values

2023-12-12T11:18:31.158616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:18:31.294354image/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.
2023-12-12T11:18:31.404060image/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

순번제호종별URL발행소 주소발행소 전화번호
01가야일보일반일간신문www.gayailbo.com경남 양산시 옥곡7길 14, 5층(남부동)055-385-0114
12양산신문일반일간신문<NA>경남 양산시 옥곡7길 14, 5층 (남부동)055-385-0900
23동남신문일반일간신문<NA>경남 양산시 옥곡7길 14, 5층(남부동)055-385-0114
34양산시민신문일반주간신문<NA>경남 양산시 북부동 148-31번지 덕산빌딩 4층<NA>
45양산뉴스파크일반주간신문<NA>경남 양산시 물금읍 백호2길 101, 204호 (가촌리, 유타운)070-8846-0048
56미래광장TIMES일반주간신문<NA>경남 양산시 신기서길 23, 116동 1112호 (신기동)<NA>
67양산뉴스인터넷신문www.ystv.co.kr경남 양산시 물금읍 야리로 112, 202호 (가촌리, 케이제이플러스빌딩)055-385-1025
78아이뉴스인터넷신문www.i-news.kr경남 양산시 북정공단2길 55 (북정동)055-385-2144
89가온교육뉴스인터넷신문www.gaonnews.kr경남 양산시 양주3길 11-6 (중부동)070-4007-9730
910양산뉴스파크인터넷신문www.ysnewspark.com경남 양산시 물금읍 백호2길 101, 204호 (가촌리, 유타운)070-8846-0048
순번제호종별URL발행소 주소발행소 전화번호
2223디엠에디션인터넷신문dmedition.com경남 양산시 평산13길 19, 101-406 (평산동)<NA>
2324양산TV인터넷신문www.oratory.co.kr경남 양산시 덕계로 11, 3층 (덕계동, 장수돼지국밥)055-388-4279
2425양산시민신문인터넷신문ysnews.co.kr경남 양산시 중앙로 206, 4층 (북부동)055-362-6767
2526Fireball news(파이어볼뉴스)인터넷신문www.newsfireball.com경남 양산시 하북면 신평7길 8, 307호 (순지리, 통도골든파크)<NA>
2627한국탐정방송TV인터넷신문www.hankook4.com경남 양산시 하북면 신평7길 8, 307호 (순지리, 통도골든파크)<NA>
2728유튜버뉴스인터넷신문tubenews.kr경남 양산시 물금읍 야리2길 43 (가촌리, 골든프라자) 2층 205호<NA>
2829동남일보인터넷신문ppnews.kr경남 양산시 옥곡7길 14, 5층(남부동)055-385-0114
2930양산일보인터넷신문www.ysilbo.com경남 양산시 옥곡7길 14, 5층 (남부동)055-385-0900
3031양산평생교육신문인터넷신문www.eduyangsan.modoo.at경남 양산시 물금읍 물금로 75 (가촌리, 이지더원2차 그랜드파크), 203동 602호<NA>
3132엠엠에이프레스인터넷신문news.ksccoin.com경남 양산시 양산역로 75 (중부동), 6층055-364-3363