Overview

Dataset statistics

Number of variables7
Number of observations787
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory45.5 KiB
Average record size in memory59.2 B

Variable types

Text2
Categorical2
Numeric3

Dataset

Description경상남도 창원시 소재의 공공와이파이 현황입니다. 항목은 설치장소,설치연월,통신사,AP대수,위도, 경도입니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15074279/fileData.do

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
설치년월 is highly overall correlated with 통신사High correlation
통신사 is highly overall correlated with 설치년월High correlation

Reproduction

Analysis started2024-04-06 08:23:24.851837
Analysis finished2024-04-06 08:23:28.572216
Duration3.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AP설치장소명
Text

Distinct763
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-06T17:23:29.001918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length8.660737
Min length1

Characters and Unicode

Total characters6816
Distinct characters378
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

Unique739 ?
Unique (%)93.9%

Sample

1st row장미공원
2nd row기업사랑공원
3rd row상남분수광장
4th row창원시청
5th row창원보건소
ValueCountFrequency (%)
주민센터 57
 
5.4%
방면 53
 
5.0%
경로당 19
 
1.8%
진전면 10
 
0.9%
창원시 7
 
0.7%
합성2동 6
 
0.6%
오동동 5
 
0.5%
마을회관 5
 
0.5%
명곡동 5
 
0.5%
의창동 5
 
0.5%
Other values (815) 885
83.7%
2024-04-06T17:23:29.760260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 299
 
4.4%
로 275
 
4.0%
274
 
4.0%
당 271
 
4.0%
동 248
 
3.6%
원 178
 
2.6%
터 151
 
2.2%
센 132
 
1.9%
( 126
 
1.8%
) 126
 
1.8%
Other values (368) 4736
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6085
89.3%
Space Separator 274
 
4.0%
Decimal Number 142
 
2.1%
Open Punctuation 126
 
1.8%
Close Punctuation 126
 
1.8%
Connector Punctuation 27
 
0.4%
Other Punctuation 18
 
0.3%
Uppercase Letter 13
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 299
 
4.9%
로 275
 
4.5%
당 271
 
4.5%
동 248
 
4.1%
원 178
 
2.9%
터 151
 
2.5%
센 132
 
2.2%
마 122
 
2.0%
민 112
 
1.8%
파 106
 
1.7%
Other values (345) 4191
68.9%
Decimal Number
ValueCountFrequency (%)
1 65
45.8%
2 46
32.4%
3 11
 
7.7%
7 4
 
2.8%
5 4
 
2.8%
6 4
 
2.8%
4 4
 
2.8%
8 3
 
2.1%
9 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
T 4
30.8%
C 3
23.1%
K 3
23.1%
S 1
 
7.7%
L 1
 
7.7%
V 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 13
72.2%
/ 3
 
16.7%
, 2
 
11.1%
Space Separator
ValueCountFrequency (%)
274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6085
89.3%
Common 718
 
10.5%
Latin 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 299
 
4.9%
로 275
 
4.5%
당 271
 
4.5%
동 248
 
4.1%
원 178
 
2.9%
터 151
 
2.5%
센 132
 
2.2%
마 122
 
2.0%
민 112
 
1.8%
파 106
 
1.7%
Other values (345) 4191
68.9%
Common
ValueCountFrequency (%)
274
38.2%
( 126
17.5%
) 126
17.5%
1 65
 
9.1%
2 46
 
6.4%
_ 27
 
3.8%
. 13
 
1.8%
3 11
 
1.5%
- 5
 
0.7%
7 4
 
0.6%
Other values (7) 21
 
2.9%
Latin
ValueCountFrequency (%)
T 4
30.8%
C 3
23.1%
K 3
23.1%
S 1
 
7.7%
L 1
 
7.7%
V 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6085
89.3%
ASCII 731
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 299
 
4.9%
로 275
 
4.5%
당 271
 
4.5%
동 248
 
4.1%
원 178
 
2.9%
터 151
 
2.5%
센 132
 
2.2%
마 122
 
2.0%
민 112
 
1.8%
파 106
 
1.7%
Other values (345) 4191
68.9%
ASCII
ValueCountFrequency (%)
274
37.5%
( 126
17.2%
) 126
17.2%
1 65
 
8.9%
2 46
 
6.3%
_ 27
 
3.7%
. 13
 
1.8%
3 11
 
1.5%
- 5
 
0.7%
7 4
 
0.5%
Other values (13) 34
 
4.7%

설치년월
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2022-12-31
179 
2021-12-31
154 
2020-06-01
120 
2018-04-01
94 
2023-12-31
81 
Other values (28)
159 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique19 ?
Unique (%)2.4%

Sample

1st row2018-03-01
2nd row2018-06-01
3rd row2018-03-01
4th row2015-10-01
5th row2017-04-01

Common Values

ValueCountFrequency (%)
2022-12-31 179
22.7%
2021-12-31 154
19.6%
2020-06-01 120
15.2%
2018-04-01 94
11.9%
2023-12-31 81
10.3%
2020-12-31 51
 
6.5%
2015-10-01 30
 
3.8%
2014-01-01 28
 
3.6%
2017-04-01 17
 
2.2%
2016-06-01 5
 
0.6%
Other values (23) 28
 
3.6%

Length

2024-04-06T17:23:30.048702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-31 179
22.7%
2021-12-31 154
19.6%
2020-06-01 120
15.2%
2018-04-01 94
11.9%
2023-12-31 81
10.3%
2020-12-31 51
 
6.5%
2015-10-01 30
 
3.8%
2014-01-01 28
 
3.6%
2017-04-01 17
 
2.2%
2016-06-01 5
 
0.6%
Other values (23) 28
 
3.6%

주 소
Text

Distinct743
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2024-04-06T17:23:30.643836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length25.349428
Min length18

Characters and Unicode

Total characters19950
Distinct characters238
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique701 ?
Unique (%)89.1%

Sample

1st row경상남도 창원시 성산구 가음동 31
2nd row경상남도 창원시 성산구 가음정동 626
3rd row경상남도 창원시 성산구 상남동 24
4th row경상남도 창원시 의창구 중앙대로 151
5th row경상남도 창원시 의창구 중앙대로 162번길 9
ValueCountFrequency (%)
창원시 785
18.0%
경상남도 784
18.0%
마산합포구 185
 
4.2%
의창구 174
 
4.0%
마산회원구 165
 
3.8%
진해구 133
 
3.1%
성산구 111
 
2.5%
내서읍 82
 
1.9%
북면 64
 
1.5%
진북면 35
 
0.8%
Other values (1065) 1838
42.2%
2024-04-06T17:23:31.474372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3590
18.0%
원 1017
 
5.1%
창 988
 
5.0%
남 836
 
4.2%
상 818
 
4.1%
구 812
 
4.1%
도 800
 
4.0%
경 797
 
4.0%
시 791
 
4.0%
1 606
 
3.0%
Other values (228) 8895
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13025
65.3%
Space Separator 3590
 
18.0%
Decimal Number 2774
 
13.9%
Dash Punctuation 179
 
0.9%
Close Punctuation 147
 
0.7%
Open Punctuation 146
 
0.7%
Other Punctuation 87
 
0.4%
Uppercase Letter 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1017
 
7.8%
창 988
 
7.6%
남 836
 
6.4%
상 818
 
6.3%
구 812
 
6.2%
도 800
 
6.1%
경 797
 
6.1%
시 791
 
6.1%
산 557
 
4.3%
로 499
 
3.8%
Other values (209) 5110
39.2%
Decimal Number
ValueCountFrequency (%)
1 606
21.8%
2 379
13.7%
3 306
11.0%
5 267
9.6%
4 260
9.4%
6 218
 
7.9%
8 210
 
7.6%
0 201
 
7.2%
7 196
 
7.1%
9 131
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 83
95.4%
· 3
 
3.4%
. 1
 
1.1%
Space Separator
ValueCountFrequency (%)
3590
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13025
65.3%
Common 6924
34.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1017
 
7.8%
창 988
 
7.6%
남 836
 
6.4%
상 818
 
6.3%
구 812
 
6.2%
도 800
 
6.1%
경 797
 
6.1%
시 791
 
6.1%
산 557
 
4.3%
로 499
 
3.8%
Other values (209) 5110
39.2%
Common
ValueCountFrequency (%)
3590
51.8%
1 606
 
8.8%
2 379
 
5.5%
3 306
 
4.4%
5 267
 
3.9%
4 260
 
3.8%
6 218
 
3.1%
8 210
 
3.0%
0 201
 
2.9%
7 196
 
2.8%
Other values (8) 691
 
10.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13025
65.3%
ASCII 6922
34.7%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3590
51.9%
1 606
 
8.8%
2 379
 
5.5%
3 306
 
4.4%
5 267
 
3.9%
4 260
 
3.8%
6 218
 
3.1%
8 210
 
3.0%
0 201
 
2.9%
7 196
 
2.8%
Other values (8) 689
 
10.0%
Hangul
ValueCountFrequency (%)
원 1017
 
7.8%
창 988
 
7.6%
남 836
 
6.4%
상 818
 
6.3%
구 812
 
6.2%
도 800
 
6.1%
경 797
 
6.1%
시 791
 
6.1%
산 557
 
4.3%
로 499
 
3.8%
Other values (209) 5110
39.2%
None
ValueCountFrequency (%)
· 3
100.0%

통신사
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
KT(케이티)
330 
lGU+(엘지유플러스)
179 
SKB(에스케이브로드밴드)
172 
LGU+(엘지유플러스)
86 
KT(케이티),SKB(에스케이브로드밴드)
 
12
Other values (2)
 
8

Length

Max length27
Median length22
Mean length10.550191
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKT(케이티)
2nd rowKT(케이티)
3rd rowKT(케이티)
4th rowSKB(에스케이브로드밴드)
5th rowSKB(에스케이브로드밴드)

Common Values

ValueCountFrequency (%)
KT(케이티) 330
41.9%
lGU+(엘지유플러스) 179
22.7%
SKB(에스케이브로드밴드) 172
21.9%
LGU+(엘지유플러스) 86
 
10.9%
KT(케이티),SKB(에스케이브로드밴드) 12
 
1.5%
SKT(에스케이텔레콤) 5
 
0.6%
LGU+(엘지유플러스),SKB(에스케이브로드밴드) 3
 
0.4%

Length

2024-04-06T17:23:31.740756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:23:31.994183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt(케이티 330
41.9%
lgu+(엘지유플러스 265
33.7%
skb(에스케이브로드밴드 172
21.9%
kt(케이티),skb(에스케이브로드밴드 12
 
1.5%
skt(에스케이텔레콤 5
 
0.6%
lgu+(엘지유플러스),skb(에스케이브로드밴드 3
 
0.4%

AP대수
Real number (ℝ)

Distinct24
Distinct (%)3.1%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.3664122
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-06T17:23:32.279183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum58
Range57
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.453936
Coefficient of variation (CV)1.8821471
Kurtosis65.402196
Mean2.3664122
Median Absolute Deviation (MAD)0
Skewness7.1410954
Sum1860
Variance19.837546
MonotonicityNot monotonic
2024-04-06T17:23:32.550292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 548
69.6%
3 81
 
10.3%
2 66
 
8.4%
4 18
 
2.3%
5 13
 
1.7%
6 13
 
1.7%
9 10
 
1.3%
7 8
 
1.0%
10 5
 
0.6%
16 4
 
0.5%
Other values (14) 20
 
2.5%
ValueCountFrequency (%)
1 548
69.6%
2 66
 
8.4%
3 81
 
10.3%
4 18
 
2.3%
5 13
 
1.7%
6 13
 
1.7%
7 8
 
1.0%
8 3
 
0.4%
9 10
 
1.3%
10 5
 
0.6%
ValueCountFrequency (%)
58 1
0.1%
50 1
0.1%
42 1
0.1%
35 1
0.1%
32 1
0.1%
31 1
0.1%
26 2
0.3%
21 1
0.1%
20 1
0.1%
18 2
0.3%

위 도
Real number (ℝ)

Distinct760
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.215511
Minimum35.067588
Maximum37.511276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-06T17:23:32.920757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.067588
5-th percentile35.115498
Q135.159039
median35.219381
Q335.246008
95-th percentile35.342454
Maximum37.511276
Range2.4436876
Interquartile range (IQR)0.08696871

Descriptive statistics

Standard deviation0.10213187
Coefficient of variation (CV)0.0029001956
Kurtosis324.68729
Mean35.215511
Median Absolute Deviation (MAD)0.034794
Skewness14.507565
Sum27714.607
Variance0.010430919
MonotonicityNot monotonic
2024-04-06T17:23:33.348320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.133626 3
 
0.4%
35.242373 2
 
0.3%
35.115754 2
 
0.3%
35.265176 2
 
0.3%
35.257275 2
 
0.3%
35.232523 2
 
0.3%
35.245781 2
 
0.3%
35.243279 2
 
0.3%
35.262246 2
 
0.3%
35.19691 2
 
0.3%
Other values (750) 766
97.3%
ValueCountFrequency (%)
35.067588 1
0.1%
35.072105 1
0.1%
35.072726 1
0.1%
35.072878 1
0.1%
35.0850891 1
0.1%
35.086264 1
0.1%
35.087773 1
0.1%
35.089867 1
0.1%
35.09209 1
0.1%
35.09723655 1
0.1%
ValueCountFrequency (%)
37.5112756 1
0.1%
35.38597224 1
0.1%
35.3782016 1
0.1%
35.37612431 1
0.1%
35.37448 1
0.1%
35.373486 1
0.1%
35.37302728 1
0.1%
35.3730067 1
0.1%
35.3681987 1
0.1%
35.3680884 1
0.1%

경 도
Real number (ℝ)

Distinct759
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.01336
Minimum35.139155
Maximum128.82154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2024-04-06T17:23:33.734704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.139155
5-th percentile128.46171
Q1128.56366
median128.60554
Q3128.67794
95-th percentile128.70954
Maximum128.82154
Range93.682384
Interquartile range (IQR)0.1142759

Descriptive statistics

Standard deviation7.4251403
Coefficient of variation (CV)0.058002856
Kurtosis153.32593
Mean128.01336
Median Absolute Deviation (MAD)0.0610509
Skewness-12.446102
Sum100746.51
Variance55.132708
MonotonicityNot monotonic
2024-04-06T17:23:34.043321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.710371 3
 
0.4%
128.523372 2
 
0.3%
128.464197 2
 
0.3%
128.620625 2
 
0.3%
128.599992 2
 
0.3%
128.650511 2
 
0.3%
128.649145 2
 
0.3%
128.641763 2
 
0.3%
128.682047 2
 
0.3%
128.6787922 2
 
0.3%
Other values (749) 766
97.3%
ValueCountFrequency (%)
35.139155 1
0.1%
35.157904 1
0.1%
35.207284 1
0.1%
35.26153 1
0.1%
35.347613 1
0.1%
126.896078 1
0.1%
128.360904 1
0.1%
128.368965 1
0.1%
128.368973 1
0.1%
128.370134 1
0.1%
ValueCountFrequency (%)
128.821539 1
0.1%
128.81875 1
0.1%
128.817232 1
0.1%
128.81474 1
0.1%
128.814376 1
0.1%
128.813356 1
0.1%
128.806573 1
0.1%
128.8033775 1
0.1%
128.7906861 1
0.1%
128.7860035 1
0.1%

Interactions

2024-04-06T17:23:27.425003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:26.074367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:26.839039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:27.652697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:26.395411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:27.028629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:27.876632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:26.589109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:27.233736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:23:34.303727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년월통신사AP대수위 도경 도
설치년월1.0000.8940.8030.3720.000
통신사0.8941.0000.0000.0000.033
AP대수0.8030.0001.0000.0000.000
위 도0.3720.0000.0001.0000.000
경 도0.0000.0330.0000.0001.000
2024-04-06T17:23:34.559102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치년월통신사
설치년월1.0000.630
통신사0.6301.000
2024-04-06T17:23:34.750612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
AP대수위 도경 도설치년월통신사
AP대수1.0000.0650.1300.4430.000
위 도0.0651.000-0.0460.1830.000
경 도0.130-0.0461.0000.0000.035
설치년월0.4430.1830.0001.0000.630
통신사0.0000.0000.0350.6301.000

Missing values

2024-04-06T17:23:28.182562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:23:28.466233image/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

AP설치장소명설치년월주 소통신사AP대수위 도경 도
0장미공원2018-03-01경상남도 창원시 성산구 가음동 31KT(케이티)635.207397128.69031
1기업사랑공원2018-06-01경상남도 창원시 성산구 가음정동 626KT(케이티)735.209548128.686188
2상남분수광장2018-03-01경상남도 창원시 성산구 상남동 24KT(케이티)435.221194128.682947
3창원시청2015-10-01경상남도 창원시 의창구 중앙대로 151SKB(에스케이브로드밴드)5835.228356128.682073
4창원보건소2017-04-01경상남도 창원시 의창구 중앙대로 162번길 9SKB(에스케이브로드밴드)1235.227904128.685541
5팔용보건소2015-10-01경상남도 창원시 의창구 팔용로 451번길 8SKB(에스케이브로드밴드)635.25739128.613159
6대산보건지소2015-10-01경상남도 창원시 의창구 대산면 진산대로355번길 14-9SKB(에스케이브로드밴드)135.332318128.708211
7동읍보건지소2015-10-01경상남도 창원시 의창구 동읍 용잠로 41SKB(에스케이브로드밴드)135.279717128.688659
8북면보건지소2015-10-01경상남도 창원시 의창구 북면 천주로 1085SKB(에스케이브로드밴드)135.347876128.607152
9의창도서관2015-10-01경상남도 창원시 성산구 용호로 50(반송동)SKB(에스케이브로드밴드)935.233512128.678974
AP설치장소명설치년월주 소통신사AP대수위 도경 도
777중원경로당2023-12-31경상남도 창원시 진해구 중원로38번길 7KT(케이티)235.147493128.660121
778태평경로당_태평동부녀경로당2023-12-31경상남도 창원시 진해구 중원로10번길 13KT(케이티)335.145038128.6604
779중리초복합시설체육관 1층2023-12-31경상남도 창원시 마산회원구 내서읍 호계안길 22KT(케이티)335.255595128.520093
780창원시 반송공원2023-12-31경상남도 창원시 성산구 반림동 26-1(럭키아파트 뒤쪽)KT(케이티)335.24006128.669155
781북면 공설운동장2023-12-31경상남도 창원시 의창구 북면 마산리 148-113KT(케이티)435.346706128.619604
782부엉이정원2023-12-31경상남도 창원시 진해구 인사로 41KT(케이티)135.148941128.670881
783내서문화체육센터 1층_2층2023-12-31경상남도 창원시 마산회원구 내서읍 상곡로 16KT(케이티)635.242739128.503825
784호계주민운동장2023-12-31경상남도 창원시 마산회원구 내서읍 호계리 198-1일원KT(케이티)335.259724128.523598
785환경생태공원2023-12-31경상남도 창원시 진해구 여명로71번길 65(태백동)KT(케이티)235.164847128.659079
786진해기적의도서관2023-12-31경상남도 창원시 진해구 석동로 70KT(케이티)435.156016128.706393

Duplicate rows

Most frequently occurring

AP설치장소명설치년월주 소통신사AP대수위 도경 도# duplicates
0진북면근린 체육공원2023-12-31경상남도 창원시 마산합포구 진북면 지산1길 71KT(케이티)135.11577128.4641972