Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells6084
Missing cells (%)3.6%
Duplicate rows315
Duplicate rows (%)3.1%
Total size in memory1.4 MiB
Average record size in memory146.0 B

Variable types

Text12
Categorical2
Numeric2
DateTime1

Dataset

Description- 공공데이터 제공 표준 기준, 지자체에서 관리하는 무료와이파이 정보<br/><br/>- 링크된 페이지의 데이터기준일자 상단 EXCEL버튼(초록색)을 클릭하여 데이터 다운로드 가능 고정형 와이파이 중계기를 의미하며 누구나 제한없이 쓸 수 있도록 지방자치단체 등에서 설치한 공공와이파이에 대한 정보(버스, 지하철 이동 가능한 교통수단에 장착된 중계기, 통신사 회원만 사용 가능한 와이파이는 제공범위(대상)에서 제외 // 와이파이 서비스 식별자(SSID) 단위로 행을 추가하여 작성)
Author행정안전부
URLhttps://www.data.go.kr/data/15013116/standard.do

Alerts

Dataset has 315 (3.1%) duplicate rowsDuplicates
위도 is highly overall correlated with 설치시도명High correlation
경도 is highly overall correlated with 설치시도명High correlation
설치시도명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
와이파이SSID has 1082 (10.8%) missing valuesMissing
설치년월 has 2230 (22.3%) missing valuesMissing
소재지도로명주소 has 836 (8.4%) missing valuesMissing
소재지지번주소 has 1839 (18.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:59:47.233728
Analysis finished2023-12-12 10:59:53.769822
Duration6.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소명
Text

Distinct7395
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:59:54.131607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length7.7474
Min length2

Characters and Unicode

Total characters77474
Distinct characters718
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6503 ?
Unique (%)65.0%

Sample

1st row광시면주민자치센터
2nd row세경3차(주정차)
3rd row가회면
4th row태인면사무소
5th row태연재활원
ValueCountFrequency (%)
주민센터 277
 
2.2%
구로구전역 149
 
1.2%
충북70자 90
 
0.7%
민원실 84
 
0.7%
영등포구청 75
 
0.6%
본관 75
 
0.6%
시내버스 62
 
0.5%
서울특별시 58
 
0.5%
버스정류장 53
 
0.4%
양산시청 53
 
0.4%
Other values (7903) 11852
92.4%
2023-12-12T19:59:54.793274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2886
 
3.7%
동 2196
 
2.8%
터 2063
 
2.7%
센 1853
 
2.4%
지 1673
 
2.2%
관 1557
 
2.0%
소 1539
 
2.0%
원 1489
 
1.9%
장 1441
 
1.9%
1 1382
 
1.8%
Other values (708) 59395
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66095
85.3%
Decimal Number 5516
 
7.1%
Space Separator 2886
 
3.7%
Open Punctuation 856
 
1.1%
Close Punctuation 856
 
1.1%
Dash Punctuation 522
 
0.7%
Uppercase Letter 419
 
0.5%
Connector Punctuation 139
 
0.2%
Other Punctuation 119
 
0.2%
Math Symbol 35
 
< 0.1%
Other values (2) 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2196
 
3.3%
터 2063
 
3.1%
센 1853
 
2.8%
지 1673
 
2.5%
관 1557
 
2.4%
소 1539
 
2.3%
원 1489
 
2.3%
장 1441
 
2.2%
주 1348
 
2.0%
시 1283
 
1.9%
Other values (651) 49653
75.1%
Uppercase Letter
ValueCountFrequency (%)
A 171
40.8%
F 41
 
9.8%
C 39
 
9.3%
T 29
 
6.9%
P 27
 
6.4%
G 27
 
6.4%
B 19
 
4.5%
K 12
 
2.9%
S 11
 
2.6%
V 10
 
2.4%
Other values (15) 33
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 1382
25.1%
2 938
17.0%
0 887
16.1%
3 581
10.5%
4 367
 
6.7%
5 345
 
6.3%
7 341
 
6.2%
6 320
 
5.8%
8 180
 
3.3%
9 175
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 47
39.5%
, 37
31.1%
? 10
 
8.4%
· 10
 
8.4%
/ 7
 
5.9%
＃ 6
 
5.0%
& 2
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
c 7
23.3%
a 6
20.0%
p 6
20.0%
t 5
16.7%
v 4
13.3%
k 1
 
3.3%
g 1
 
3.3%
Math Symbol
ValueCountFrequency (%)
~ 34
97.1%
+ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
2886
100.0%
Open Punctuation
ValueCountFrequency (%)
( 856
100.0%
Close Punctuation
ValueCountFrequency (%)
) 856
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 522
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 139
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66096
85.3%
Common 10929
 
14.1%
Latin 449
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2196
 
3.3%
터 2063
 
3.1%
센 1853
 
2.8%
지 1673
 
2.5%
관 1557
 
2.4%
소 1539
 
2.3%
원 1489
 
2.3%
장 1441
 
2.2%
주 1348
 
2.0%
시 1283
 
1.9%
Other values (652) 49654
75.1%
Latin
ValueCountFrequency (%)
A 171
38.1%
F 41
 
9.1%
C 39
 
8.7%
T 29
 
6.5%
P 27
 
6.0%
G 27
 
6.0%
B 19
 
4.2%
K 12
 
2.7%
S 11
 
2.4%
V 10
 
2.2%
Other values (22) 63
 
14.0%
Common
ValueCountFrequency (%)
2886
26.4%
1 1382
12.6%
2 938
 
8.6%
0 887
 
8.1%
( 856
 
7.8%
) 856
 
7.8%
3 581
 
5.3%
- 522
 
4.8%
4 367
 
3.4%
5 345
 
3.2%
Other values (14) 1309
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66095
85.3%
ASCII 11362
 
14.7%
None 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2886
25.4%
1 1382
12.2%
2 938
 
8.3%
0 887
 
7.8%
( 856
 
7.5%
) 856
 
7.5%
3 581
 
5.1%
- 522
 
4.6%
4 367
 
3.2%
5 345
 
3.0%
Other values (44) 1742
15.3%
Hangul
ValueCountFrequency (%)
동 2196
 
3.3%
터 2063
 
3.1%
센 1853
 
2.8%
지 1673
 
2.5%
관 1557
 
2.4%
소 1539
 
2.3%
원 1489
 
2.3%
장 1441
 
2.2%
주 1348
 
2.0%
시 1283
 
1.9%
Other values (651) 49653
75.1%
None
ValueCountFrequency (%)
· 10
58.8%
＃ 6
35.3%
㈜ 1
 
5.9%

설치장소상세
Text

Distinct4866
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:59:55.315844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length209
Median length94
Mean length7.6978
Min length1

Characters and Unicode

Total characters76978
Distinct characters696
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4206 ?
Unique (%)42.1%

Sample

1st row광시면주민자치센터
2nd row시내버스 정류장
3rd row민원실
4th row민원실
5th row식당,강당,옥외
ValueCountFrequency (%)
민원실 1113
 
6.3%
1층 597
 
3.4%
버스정류장 380
 
2.2%
2층 307
 
1.7%
내 303
 
1.7%
앞 219
 
1.2%
사무실 210
 
1.2%
건물내 205
 
1.2%
3층 199
 
1.1%
서울특별시 194
 
1.1%
Other values (5485) 13933
78.9%
2023-12-12T19:59:56.098000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7990
 
10.4%
실 2542
 
3.3%
1 2217
 
2.9%
원 2062
 
2.7%
민 1781
 
2.3%
장 1780
 
2.3%
층 1724
 
2.2%
시 1405
 
1.8%
2 1355
 
1.8%
동 1298
 
1.7%
Other values (686) 52824
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56156
73.0%
Space Separator 7990
 
10.4%
Decimal Number 7263
 
9.4%
Uppercase Letter 2279
 
3.0%
Other Punctuation 941
 
1.2%
Dash Punctuation 824
 
1.1%
Close Punctuation 616
 
0.8%
Open Punctuation 613
 
0.8%
Connector Punctuation 175
 
0.2%
Math Symbol 75
 
0.1%
Other values (2) 46
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 2542
 
4.5%
원 2062
 
3.7%
민 1781
 
3.2%
장 1780
 
3.2%
층 1724
 
3.1%
시 1405
 
2.5%
동 1298
 
2.3%
내 1274
 
2.3%
관 1175
 
2.1%
지 926
 
1.6%
Other values (624) 40189
71.6%
Uppercase Letter
ValueCountFrequency (%)
C 789
34.6%
T 408
17.9%
V 386
16.9%
F 218
 
9.6%
P 85
 
3.7%
A 84
 
3.7%
S 66
 
2.9%
B 53
 
2.3%
E 46
 
2.0%
I 40
 
1.8%
Other values (13) 104
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
o 7
15.9%
e 7
15.9%
c 6
13.6%
m 6
13.6%
p 4
9.1%
t 3
6.8%
l 3
6.8%
v 3
6.8%
g 1
 
2.3%
s 1
 
2.3%
Other values (3) 3
6.8%
Decimal Number
ValueCountFrequency (%)
1 2217
30.5%
2 1355
18.7%
3 870
 
12.0%
4 588
 
8.1%
0 539
 
7.4%
5 429
 
5.9%
7 410
 
5.6%
6 313
 
4.3%
8 301
 
4.1%
9 241
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 704
74.8%
· 134
 
14.2%
/ 55
 
5.8%
. 22
 
2.3%
: 19
 
2.0%
? 7
 
0.7%
Math Symbol
ValueCountFrequency (%)
~ 39
52.0%
+ 34
45.3%
> 1
 
1.3%
↔ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
7990
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 824
100.0%
Close Punctuation
ValueCountFrequency (%)
) 616
100.0%
Open Punctuation
ValueCountFrequency (%)
( 613
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 175
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56147
72.9%
Common 18497
 
24.0%
Latin 2323
 
3.0%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 2542
 
4.5%
원 2062
 
3.7%
민 1781
 
3.2%
장 1780
 
3.2%
층 1724
 
3.1%
시 1405
 
2.5%
동 1298
 
2.3%
내 1274
 
2.3%
관 1175
 
2.1%
지 926
 
1.6%
Other values (622) 40180
71.6%
Latin
ValueCountFrequency (%)
C 789
34.0%
T 408
17.6%
V 386
16.6%
F 218
 
9.4%
P 85
 
3.7%
A 84
 
3.6%
S 66
 
2.8%
B 53
 
2.3%
E 46
 
2.0%
I 40
 
1.7%
Other values (26) 148
 
6.4%
Common
ValueCountFrequency (%)
7990
43.2%
1 2217
 
12.0%
2 1355
 
7.3%
3 870
 
4.7%
- 824
 
4.5%
, 704
 
3.8%
) 616
 
3.3%
( 613
 
3.3%
4 588
 
3.2%
0 539
 
2.9%
Other values (15) 2181
 
11.8%
Han
ValueCountFrequency (%)
內 9
81.8%
毓 1
 
9.1%
玭 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56144
72.9%
ASCII 20685
 
26.9%
None 136
 
0.2%
CJK 11
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7990
38.6%
1 2217
 
10.7%
2 1355
 
6.6%
3 870
 
4.2%
- 824
 
4.0%
C 789
 
3.8%
, 704
 
3.4%
) 616
 
3.0%
( 613
 
3.0%
4 588
 
2.8%
Other values (49) 4119
19.9%
Hangul
ValueCountFrequency (%)
실 2542
 
4.5%
원 2062
 
3.7%
민 1781
 
3.2%
장 1780
 
3.2%
층 1724
 
3.1%
시 1405
 
2.5%
동 1298
 
2.3%
내 1274
 
2.3%
관 1175
 
2.1%
지 926
 
1.6%
Other values (620) 40177
71.6%
None
ValueCountFrequency (%)
· 134
98.5%
㈜ 2
 
1.5%
CJK
ValueCountFrequency (%)
內 9
81.8%
毓 1
 
9.1%
玭 1
 
9.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Arrows
ValueCountFrequency (%)
↔ 1
100.0%

설치시도명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울특별시
2083 
경기도
1190 
강원도
812 
인천광역시
704 
경상북도
681 
Other values (12)
4530 

Length

Max length7
Median length5
Mean length4.3269
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도
2nd row강원도
3rd row경상남도
4th row전라북도
5th row울산광역시

Common Values

ValueCountFrequency (%)
서울특별시 2083
20.8%
경기도 1190
11.9%
강원도 812
 
8.1%
인천광역시 704
 
7.0%
경상북도 681
 
6.8%
전라남도 641
 
6.4%
부산광역시 540
 
5.4%
충청남도 529
 
5.3%
전라북도 523
 
5.2%
경상남도 520
 
5.2%
Other values (7) 1777
17.8%

Length

2023-12-12T19:59:56.318021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 2083
20.8%
경기도 1190
11.9%
강원도 812
 
8.1%
인천광역시 704
 
7.0%
경상북도 681
 
6.8%
전라남도 641
 
6.4%
부산광역시 540
 
5.4%
충청남도 529
 
5.3%
전라북도 523
 
5.2%
경상남도 520
 
5.2%
Other values (7) 1777
17.8%

설치시군구명
Text

Distinct207
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:59:56.905118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.0139
Min length2

Characters and Unicode

Total characters30139
Distinct characters142
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row예산군
2nd row춘천시
3rd row합천군
4th row정읍시
5th row북구
ValueCountFrequency (%)
서구 288
 
2.9%
강서구 214
 
2.1%
경주시 210
 
2.1%
동구 205
 
2.0%
서귀포시 205
 
2.0%
북구 202
 
2.0%
청주시 201
 
2.0%
서대문구 200
 
2.0%
원주시 200
 
2.0%
광진구 193
 
1.9%
Other values (198) 7907
78.9%
2023-12-12T19:59:57.644121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 4563
 
15.1%
시 3884
 
12.9%
군 1963
 
6.5%
주 1198
 
4.0%
서 1074
 
3.6%
천 1059
 
3.5%
성 879
 
2.9%
동 826
 
2.7%
남 783
 
2.6%
양 765
 
2.5%
Other values (132) 13145
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30106
99.9%
Space Separator 25
 
0.1%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4563
 
15.2%
시 3884
 
12.9%
군 1963
 
6.5%
주 1198
 
4.0%
서 1074
 
3.6%
천 1059
 
3.5%
성 879
 
2.9%
동 826
 
2.7%
남 783
 
2.6%
양 765
 
2.5%
Other values (129) 13112
43.6%
Uppercase Letter
ValueCountFrequency (%)
K 4
50.0%
T 4
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30106
99.9%
Common 25
 
0.1%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4563
 
15.2%
시 3884
 
12.9%
군 1963
 
6.5%
주 1198
 
4.0%
서 1074
 
3.6%
천 1059
 
3.5%
성 879
 
2.9%
동 826
 
2.7%
남 783
 
2.6%
양 765
 
2.5%
Other values (129) 13112
43.6%
Latin
ValueCountFrequency (%)
K 4
50.0%
T 4
50.0%
Common
ValueCountFrequency (%)
25
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30106
99.9%
ASCII 33
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 4563
 
15.2%
시 3884
 
12.9%
군 1963
 
6.5%
주 1198
 
4.0%
서 1074
 
3.6%
천 1059
 
3.5%
성 879
 
2.9%
동 826
 
2.7%
남 783
 
2.6%
양 765
 
2.5%
Other values (129) 13112
43.6%
ASCII
ValueCountFrequency (%)
25
75.8%
K 4
 
12.1%
T 4
 
12.1%

설치시설구분
Categorical

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
관공서
3524 
서민·복지시설
1469 
기타
1206 
교통시설
1120 
관광
833 
Other values (32)
1848 

Length

Max length8
Median length7
Mean length3.8178
Min length2

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row관공서
2nd row교통시설
3rd row관공서
4th row관공서
5th row서민·복지시설

Common Values

ValueCountFrequency (%)
관공서 3524
35.2%
서민·복지시설 1469
14.7%
기타 1206
 
12.1%
교통시설 1120
 
11.2%
관광 833
 
8.3%
편의시설 747
 
7.5%
지역문화시설 661
 
6.6%
교육시설 106
 
1.1%
공원 57
 
0.6%
버스정류장 50
 
0.5%
Other values (27) 227
 
2.3%

Length

2023-12-12T19:59:58.324316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관공서 3524
35.2%
서민·복지시설 1470
14.7%
기타 1206
 
12.1%
교통시설 1120
 
11.2%
관광 833
 
8.3%
편의시설 747
 
7.5%
지역문화시설 661
 
6.6%
교육시설 106
 
1.1%
공원 57
 
0.6%
버스정류장 50
 
0.5%
Other values (26) 226
 
2.3%

서비스제공사명
Text

Distinct138
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:59:58.686739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length3.9499
Min length1

Characters and Unicode

Total characters39499
Distinct characters151
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st rowSKT
2nd rowKT
3rd row경상남도 합천군청
4th rowLG U+
5th rowSKT
ValueCountFrequency (%)
kt 3447
30.0%
skt 1592
13.8%
lgu 1358
 
11.8%
서울특별시 575
 
5.0%
경상북도 236
 
2.1%
lg 219
 
1.9%
경주시청 210
 
1.8%
강서구 196
 
1.7%
구로구(자체구축 183
 
1.6%
경기도 181
 
1.6%
Other values (132) 3302
28.7%
2023-12-12T19:59:59.315764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 5627
 
14.2%
T 5318
 
13.5%
S 2058
 
5.2%
시 1930
 
4.9%
G 1759
 
4.5%
구 1740
 
4.4%
L 1733
 
4.4%
U 1567
 
4.0%
+ 1512
 
3.8%
1499
 
3.8%
Other values (141) 14756
37.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 18347
46.4%
Other Letter 16657
42.2%
Math Symbol 1512
 
3.8%
Space Separator 1499
 
3.8%
Open Punctuation 409
 
1.0%
Close Punctuation 409
 
1.0%
Lowercase Letter 382
 
1.0%
Other Punctuation 224
 
0.6%
Other Symbol 54
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1930
 
11.6%
구 1740
 
10.4%
서 1363
 
8.2%
울 1010
 
6.1%
청 992
 
6.0%
경 726
 
4.4%
별 646
 
3.9%
특 646
 
3.9%
도 473
 
2.8%
주 422
 
2.5%
Other values (105) 6709
40.3%
Uppercase Letter
ValueCountFrequency (%)
K 5627
30.7%
T 5318
29.0%
S 2058
 
11.2%
G 1759
 
9.6%
L 1733
 
9.4%
U 1567
 
8.5%
B 106
 
0.6%
W 75
 
0.4%
F 52
 
0.3%
A 23
 
0.1%
Other values (6) 29
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
i 156
40.8%
g 50
 
13.1%
a 38
 
9.9%
e 28
 
7.3%
u 26
 
6.8%
l 14
 
3.7%
c 14
 
3.7%
f 14
 
3.7%
r 14
 
3.7%
b 14
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 219
97.8%
& 4
 
1.8%
/ 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 1512
100.0%
Space Separator
ValueCountFrequency (%)
1499
100.0%
Open Punctuation
ValueCountFrequency (%)
( 409
100.0%
Close Punctuation
ValueCountFrequency (%)
) 409
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18729
47.4%
Hangul 16711
42.3%
Common 4059
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1930
 
11.5%
구 1740
 
10.4%
서 1363
 
8.2%
울 1010
 
6.0%
청 992
 
5.9%
경 726
 
4.3%
별 646
 
3.9%
특 646
 
3.9%
도 473
 
2.8%
주 422
 
2.5%
Other values (106) 6763
40.5%
Latin
ValueCountFrequency (%)
K 5627
30.0%
T 5318
28.4%
S 2058
 
11.0%
G 1759
 
9.4%
L 1733
 
9.3%
U 1567
 
8.4%
i 156
 
0.8%
B 106
 
0.6%
W 75
 
0.4%
F 52
 
0.3%
Other values (17) 278
 
1.5%
Common
ValueCountFrequency (%)
+ 1512
37.3%
1499
36.9%
( 409
 
10.1%
) 409
 
10.1%
, 219
 
5.4%
- 6
 
0.1%
& 4
 
0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22788
57.7%
Hangul 16657
42.2%
None 54
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 5627
24.7%
T 5318
23.3%
S 2058
 
9.0%
G 1759
 
7.7%
L 1733
 
7.6%
U 1567
 
6.9%
+ 1512
 
6.6%
1499
 
6.6%
( 409
 
1.8%
) 409
 
1.8%
Other values (25) 897
 
3.9%
Hangul
ValueCountFrequency (%)
시 1930
 
11.6%
구 1740
 
10.4%
서 1363
 
8.2%
울 1010
 
6.1%
청 992
 
6.0%
경 726
 
4.4%
별 646
 
3.9%
특 646
 
3.9%
도 473
 
2.8%
주 422
 
2.5%
Other values (105) 6709
40.3%
None
ValueCountFrequency (%)
㈜ 54
100.0%

와이파이SSID
Text

MISSING 

Distinct332
Distinct (%)3.7%
Missing1082
Missing (%)10.8%
Memory size156.2 KiB
2023-12-12T19:59:59.721836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length50
Mean length15.963445
Min length2

Characters and Unicode

Total characters142362
Distinct characters156
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)1.5%

Sample

1st rowPublic WiFi
2nd rowchunchoun Free Wifi
3rd rowPublic_wifi@Hapcheon
4th rowPublic WiFi Free
5th rowpublic wifi free
ValueCountFrequency (%)
wifi 5339
26.1%
public 4734
23.1%
free 3873
18.9%
zone 312
 
1.5%
jeju 205
 
1.0%
pucblic 196
 
1.0%
wifi@gangseo 196
 
1.0%
golden-fi 194
 
0.9%
gyeongju 194
 
0.9%
publicwifi@seoul 189
 
0.9%
Other values (318) 5036
24.6%
2023-12-12T20:00:00.398643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 22444
15.8%
11558
 
8.1%
e 11116
 
7.8%
F 10300
 
7.2%
u 9121
 
6.4%
l 7395
 
5.2%
c 7327
 
5.1%
W 7234
 
5.1%
b 6709
 
4.7%
P 6282
 
4.4%
Other values (146) 42876
30.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 91112
64.0%
Uppercase Letter 34333
 
24.1%
Space Separator 11558
 
8.1%
Other Punctuation 2470
 
1.7%
Connector Punctuation 1639
 
1.2%
Other Letter 416
 
0.3%
Dash Punctuation 340
 
0.2%
Decimal Number 301
 
0.2%
Math Symbol 177
 
0.1%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 36
 
8.7%
공 33
 
7.9%
시 23
 
5.5%
동 20
 
4.8%
파 18
 
4.3%
와 18
 
4.3%
로 18
 
4.3%
군 17
 
4.1%
브 17
 
4.1%
안 11
 
2.6%
Other values (77) 205
49.3%
Lowercase Letter
ValueCountFrequency (%)
i 22444
24.6%
e 11116
12.2%
u 9121
10.0%
l 7395
 
8.1%
c 7327
 
8.0%
b 6709
 
7.4%
n 4451
 
4.9%
r 4215
 
4.6%
o 3768
 
4.1%
g 2581
 
2.8%
Other values (14) 11985
13.2%
Uppercase Letter
ValueCountFrequency (%)
F 10300
30.0%
W 7234
21.1%
P 6282
18.3%
G 1719
 
5.0%
E 1462
 
4.3%
S 1390
 
4.0%
I 1092
 
3.2%
R 726
 
2.1%
T 497
 
1.4%
U 469
 
1.4%
Other values (14) 3162
 
9.2%
Decimal Number
ValueCountFrequency (%)
2 82
27.2%
1 57
18.9%
5 51
16.9%
4 31
 
10.3%
3 22
 
7.3%
0 18
 
6.0%
9 13
 
4.3%
7 12
 
4.0%
8 10
 
3.3%
6 5
 
1.7%
Other Punctuation
ValueCountFrequency (%)
@ 2022
81.9%
, 283
 
11.5%
/ 116
 
4.7%
. 35
 
1.4%
& 14
 
0.6%
Space Separator
ValueCountFrequency (%)
11558
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 340
100.0%
Math Symbol
ValueCountFrequency (%)
+ 177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 125445
88.1%
Common 16501
 
11.6%
Hangul 416
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 36
 
8.7%
공 33
 
7.9%
시 23
 
5.5%
동 20
 
4.8%
파 18
 
4.3%
와 18
 
4.3%
로 18
 
4.3%
군 17
 
4.1%
브 17
 
4.1%
안 11
 
2.6%
Other values (77) 205
49.3%
Latin
ValueCountFrequency (%)
i 22444
17.9%
e 11116
 
8.9%
F 10300
 
8.2%
u 9121
 
7.3%
l 7395
 
5.9%
c 7327
 
5.8%
W 7234
 
5.8%
b 6709
 
5.3%
P 6282
 
5.0%
n 4451
 
3.5%
Other values (38) 33066
26.4%
Common
ValueCountFrequency (%)
11558
70.0%
@ 2022
 
12.3%
_ 1639
 
9.9%
- 340
 
2.1%
, 283
 
1.7%
+ 177
 
1.1%
/ 116
 
0.7%
2 82
 
0.5%
1 57
 
0.3%
5 51
 
0.3%
Other values (11) 176
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141946
99.7%
Hangul 416
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 22444
15.8%
11558
 
8.1%
e 11116
 
7.8%
F 10300
 
7.3%
u 9121
 
6.4%
l 7395
 
5.2%
c 7327
 
5.2%
W 7234
 
5.1%
b 6709
 
4.7%
P 6282
 
4.4%
Other values (59) 42460
29.9%
Hangul
ValueCountFrequency (%)
이 36
 
8.7%
공 33
 
7.9%
시 23
 
5.5%
동 20
 
4.8%
파 18
 
4.3%
와 18
 
4.3%
로 18
 
4.3%
군 17
 
4.1%
브 17
 
4.1%
안 11
 
2.6%
Other values (77) 205
49.3%

설치년월
Text

MISSING 

Distinct135
Distinct (%)1.7%
Missing2230
Missing (%)22.3%
Memory size156.2 KiB
2023-12-12T20:00:01.001481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9994852
Min length6

Characters and Unicode

Total characters54386
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row2018-06
2nd row2020-01
3rd row2014-12
4th row2015-12
5th row2019-07
ValueCountFrequency (%)
2014-12 326
 
4.2%
2018-06 281
 
3.6%
2015-12 258
 
3.3%
2020-10 255
 
3.3%
2019-01 255
 
3.3%
2019-12 246
 
3.2%
2014-01 237
 
3.1%
2018-12 224
 
2.9%
2019-02 194
 
2.5%
2015-11 188
 
2.4%
Other values (125) 5306
68.3%
2023-12-12T20:00:01.765338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14314
26.3%
1 12188
22.4%
2 10939
20.1%
- 7770
14.3%
8 1823
 
3.4%
9 1762
 
3.2%
6 1481
 
2.7%
5 1180
 
2.2%
7 1160
 
2.1%
4 1102
 
2.0%
Other values (4) 667
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46604
85.7%
Dash Punctuation 7770
 
14.3%
Lowercase Letter 8
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14314
30.7%
1 12188
26.2%
2 10939
23.5%
8 1823
 
3.9%
9 1762
 
3.8%
6 1481
 
3.2%
5 1180
 
2.5%
7 1160
 
2.5%
4 1102
 
2.4%
3 655
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
a 4
50.0%
y 4
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 7770
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54374
> 99.9%
Latin 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14314
26.3%
1 12188
22.4%
2 10939
20.1%
- 7770
14.3%
8 1823
 
3.4%
9 1762
 
3.2%
6 1481
 
2.7%
5 1180
 
2.2%
7 1160
 
2.1%
4 1102
 
2.0%
Latin
ValueCountFrequency (%)
M 4
33.3%
a 4
33.3%
y 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14314
26.3%
1 12188
22.4%
2 10939
20.1%
- 7770
14.3%
8 1823
 
3.4%
9 1762
 
3.2%
6 1481
 
2.7%
5 1180
 
2.2%
7 1160
 
2.1%
4 1102
 
2.0%
Other values (4) 667
 
1.2%

소재지도로명주소
Text

MISSING 

Distinct6787
Distinct (%)74.1%
Missing836
Missing (%)8.4%
Memory size156.2 KiB
2023-12-12T20:00:02.097549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length19.740834
Min length6

Characters and Unicode

Total characters180905
Distinct characters538
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5756 ?
Unique (%)62.8%

Sample

1st row충청남도 예산군 광시면 광시소길 16-1
2nd row강원도 춘천시 후평동 846-3
3rd row경상남도 합천군 가회면 황매산로 52
4th row전라북도 정읍시 태인면 정읍북로 1193
5th row울산광역시 북구 대안4길 60
ValueCountFrequency (%)
서울특별시 1927
 
4.7%
경기도 958
 
2.3%
강원도 745
 
1.8%
인천광역시 693
 
1.7%
경상북도 570
 
1.4%
부산광역시 525
 
1.3%
전라북도 516
 
1.3%
전라남도 508
 
1.2%
충청남도 500
 
1.2%
경상남도 482
 
1.2%
Other values (8767) 33371
81.8%
2023-12-12T20:00:02.689620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31633
 
17.5%
시 7731
 
4.3%
로 7645
 
4.2%
1 6246
 
3.5%
구 5682
 
3.1%
도 5106
 
2.8%
2 4211
 
2.3%
서 3548
 
2.0%
길 3520
 
1.9%
광 3273
 
1.8%
Other values (528) 102310
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116255
64.3%
Space Separator 31634
 
17.5%
Decimal Number 29574
 
16.3%
Dash Punctuation 1534
 
0.8%
Open Punctuation 872
 
0.5%
Close Punctuation 871
 
0.5%
Other Punctuation 130
 
0.1%
Uppercase Letter 26
 
< 0.1%
Math Symbol 6
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7731
 
6.7%
로 7645
 
6.6%
구 5682
 
4.9%
도 5106
 
4.4%
서 3548
 
3.1%
길 3520
 
3.0%
광 3273
 
2.8%
동 2855
 
2.5%
남 2815
 
2.4%
경 2427
 
2.1%
Other values (503) 71653
61.6%
Decimal Number
ValueCountFrequency (%)
1 6246
21.1%
2 4211
14.2%
3 3129
10.6%
5 2689
9.1%
4 2674
9.0%
6 2429
 
8.2%
7 2185
 
7.4%
0 2091
 
7.1%
8 1961
 
6.6%
9 1959
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
A 9
34.6%
P 7
26.9%
E 4
15.4%
C 4
15.4%
B 2
 
7.7%
Space Separator
ValueCountFrequency (%)
31633
> 99.9%
　 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 117
90.0%
. 13
 
10.0%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
+ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 871
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116255
64.3%
Common 64624
35.7%
Latin 26
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7731
 
6.7%
로 7645
 
6.6%
구 5682
 
4.9%
도 5106
 
4.4%
서 3548
 
3.1%
길 3520
 
3.0%
광 3273
 
2.8%
동 2855
 
2.5%
남 2815
 
2.4%
경 2427
 
2.1%
Other values (503) 71653
61.6%
Common
ValueCountFrequency (%)
31633
48.9%
1 6246
 
9.7%
2 4211
 
6.5%
3 3129
 
4.8%
5 2689
 
4.2%
4 2674
 
4.1%
6 2429
 
3.8%
7 2185
 
3.4%
0 2091
 
3.2%
8 1961
 
3.0%
Other values (10) 5376
 
8.3%
Latin
ValueCountFrequency (%)
A 9
34.6%
P 7
26.9%
E 4
15.4%
C 4
15.4%
B 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116255
64.3%
ASCII 64649
35.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31633
48.9%
1 6246
 
9.7%
2 4211
 
6.5%
3 3129
 
4.8%
5 2689
 
4.2%
4 2674
 
4.1%
6 2429
 
3.8%
7 2185
 
3.4%
0 2091
 
3.2%
8 1961
 
3.0%
Other values (14) 5401
 
8.4%
Hangul
ValueCountFrequency (%)
시 7731
 
6.7%
로 7645
 
6.6%
구 5682
 
4.9%
도 5106
 
4.4%
서 3548
 
3.1%
길 3520
 
3.0%
광 3273
 
2.8%
동 2855
 
2.5%
남 2815
 
2.4%
경 2427
 
2.1%
Other values (503) 71653
61.6%
None
ValueCountFrequency (%)
　 1
100.0%

소재지지번주소
Text

MISSING 

Distinct6308
Distinct (%)77.3%
Missing1839
Missing (%)18.4%
Memory size156.2 KiB
2023-12-12T20:00:03.228719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length19.623576
Min length8

Characters and Unicode

Total characters160148
Distinct characters459
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5461 ?
Unique (%)66.9%

Sample

1st row충청남도 예산군 광시면 광시리 95
2nd row강원도 춘천시 후평동 846-3
3rd row경상남도 합천군 가회면 덕촌리 385-2
4th row전라북도 정읍시 태인면 태창리 425
5th row울산광역시 북구 대안동 156
ValueCountFrequency (%)
서울특별시 1254
 
3.5%
경기도 974
 
2.7%
강원도 723
 
2.0%
인천광역시 604
 
1.7%
부산광역시 500
 
1.4%
충청남도 497
 
1.4%
전라남도 467
 
1.3%
경상북도 448
 
1.3%
전라북도 424
 
1.2%
경상남도 421
 
1.2%
Other values (8770) 29360
82.3%
2023-12-12T20:00:04.054866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27511
 
17.2%
1 6880
 
4.3%
동 6702
 
4.2%
시 6679
 
4.2%
- 5852
 
3.7%
도 4815
 
3.0%
구 4737
 
3.0%
2 4362
 
2.7%
3 3573
 
2.2%
4 2941
 
1.8%
Other values (449) 86096
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93835
58.6%
Decimal Number 32513
 
20.3%
Space Separator 27517
 
17.2%
Dash Punctuation 5852
 
3.7%
Uppercase Letter 133
 
0.1%
Open Punctuation 112
 
0.1%
Close Punctuation 112
 
0.1%
Lowercase Letter 40
 
< 0.1%
Other Punctuation 19
 
< 0.1%
Connector Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6702
 
7.1%
시 6679
 
7.1%
도 4815
 
5.1%
구 4737
 
5.0%
광 2741
 
2.9%
서 2645
 
2.8%
리 2566
 
2.7%
남 2566
 
2.7%
산 2338
 
2.5%
역 2095
 
2.2%
Other values (403) 55951
59.6%
Uppercase Letter
ValueCountFrequency (%)
C 33
24.8%
S 19
14.3%
A 16
12.0%
P 13
 
9.8%
T 11
 
8.3%
V 10
 
7.5%
G 7
 
5.3%
E 4
 
3.0%
R 3
 
2.3%
U 3
 
2.3%
Other values (8) 14
10.5%
Decimal Number
ValueCountFrequency (%)
1 6880
21.2%
2 4362
13.4%
3 3573
11.0%
4 2941
9.0%
5 2889
8.9%
6 2568
 
7.9%
7 2420
 
7.4%
8 2360
 
7.3%
0 2310
 
7.1%
9 2210
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
r 8
20.0%
i 6
15.0%
l 6
15.0%
y 4
10.0%
k 4
10.0%
b 4
10.0%
a 4
10.0%
o 2
 
5.0%
t 2
 
5.0%
Space Separator
ValueCountFrequency (%)
27511
> 99.9%
　 6
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 13
68.4%
. 6
31.6%
Dash Punctuation
ValueCountFrequency (%)
- 5852
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93835
58.6%
Common 66140
41.3%
Latin 173
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6702
 
7.1%
시 6679
 
7.1%
도 4815
 
5.1%
구 4737
 
5.0%
광 2741
 
2.9%
서 2645
 
2.8%
리 2566
 
2.7%
남 2566
 
2.7%
산 2338
 
2.5%
역 2095
 
2.2%
Other values (403) 55951
59.6%
Latin
ValueCountFrequency (%)
C 33
19.1%
S 19
11.0%
A 16
 
9.2%
P 13
 
7.5%
T 11
 
6.4%
V 10
 
5.8%
r 8
 
4.6%
G 7
 
4.0%
i 6
 
3.5%
l 6
 
3.5%
Other values (17) 44
25.4%
Common
ValueCountFrequency (%)
27511
41.6%
1 6880
 
10.4%
- 5852
 
8.8%
2 4362
 
6.6%
3 3573
 
5.4%
4 2941
 
4.4%
5 2889
 
4.4%
6 2568
 
3.9%
7 2420
 
3.7%
8 2360
 
3.6%
Other values (9) 4784
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93835
58.6%
ASCII 66307
41.4%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27511
41.5%
1 6880
 
10.4%
- 5852
 
8.8%
2 4362
 
6.6%
3 3573
 
5.4%
4 2941
 
4.4%
5 2889
 
4.4%
6 2568
 
3.9%
7 2420
 
3.6%
8 2360
 
3.6%
Other values (35) 4951
 
7.5%
Hangul
ValueCountFrequency (%)
동 6702
 
7.1%
시 6679
 
7.1%
도 4815
 
5.1%
구 4737
 
5.0%
광 2741
 
2.9%
서 2645
 
2.8%
리 2566
 
2.7%
남 2566
 
2.7%
산 2338
 
2.5%
역 2095
 
2.2%
Other values (403) 55951
59.6%
None
ValueCountFrequency (%)
　 6
100.0%

관리기관명
Text

Distinct478
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:00:04.579473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.9
Min length2

Characters and Unicode

Total characters79000
Distinct characters277
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)2.0%

Sample

1st row충청남도 예산군청
2nd row강원도 춘천시청
3rd row경상남도 합천군청
4th row전라북도 정읍시청
5th row울산광역시 북구청
ValueCountFrequency (%)
서울특별시 1267
 
7.5%
강원도 764
 
4.5%
경기도 628
 
3.7%
경상북도 612
 
3.6%
인천광역시 475
 
2.8%
전라남도 465
 
2.8%
전라북도 423
 
2.5%
부산광역시 418
 
2.5%
경상남도 418
 
2.5%
충청북도 395
 
2.3%
Other values (479) 10999
65.2%
2023-12-12T20:00:05.414338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 7383
 
9.3%
6864
 
8.7%
시 6747
 
8.5%
도 4231
 
5.4%
구 3244
 
4.1%
광 2377
 
3.0%
서 2364
 
3.0%
울 1952
 
2.5%
경 1900
 
2.4%
역 1881
 
2.4%
Other values (267) 40057
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70478
89.2%
Space Separator 6864
 
8.7%
Uppercase Letter 1043
 
1.3%
Open Punctuation 225
 
0.3%
Close Punctuation 225
 
0.3%
Math Symbol 120
 
0.2%
Lowercase Letter 27
 
< 0.1%
Other Symbol 11
 
< 0.1%
Decimal Number 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 7383
 
10.5%
시 6747
 
9.6%
도 4231
 
6.0%
구 3244
 
4.6%
광 2377
 
3.4%
서 2364
 
3.4%
울 1952
 
2.8%
경 1900
 
2.7%
역 1881
 
2.7%
남 1741
 
2.5%
Other values (244) 36658
52.0%
Uppercase Letter
ValueCountFrequency (%)
K 252
24.2%
T 237
22.7%
L 148
14.2%
S 124
11.9%
G 119
11.4%
U 108
10.4%
B 21
 
2.0%
C 17
 
1.6%
E 17
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
g 13
48.1%
u 12
44.4%
c 1
 
3.7%
v 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 2
40.0%
2 1
20.0%
Space Separator
ValueCountFrequency (%)
6864
100.0%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Math Symbol
ValueCountFrequency (%)
+ 120
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70489
89.2%
Common 7441
 
9.4%
Latin 1070
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 7383
 
10.5%
시 6747
 
9.6%
도 4231
 
6.0%
구 3244
 
4.6%
광 2377
 
3.4%
서 2364
 
3.4%
울 1952
 
2.8%
경 1900
 
2.7%
역 1881
 
2.7%
남 1741
 
2.5%
Other values (245) 36669
52.0%
Latin
ValueCountFrequency (%)
K 252
23.6%
T 237
22.1%
L 148
13.8%
S 124
11.6%
G 119
11.1%
U 108
10.1%
B 21
 
2.0%
C 17
 
1.6%
E 17
 
1.6%
g 13
 
1.2%
Other values (3) 14
 
1.3%
Common
ValueCountFrequency (%)
6864
92.2%
( 225
 
3.0%
) 225
 
3.0%
+ 120
 
1.6%
1 2
 
< 0.1%
3 2
 
< 0.1%
, 1
 
< 0.1%
_ 1
 
< 0.1%
2 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70478
89.2%
ASCII 8511
 
10.8%
None 11
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 7383
 
10.5%
시 6747
 
9.6%
도 4231
 
6.0%
구 3244
 
4.6%
광 2377
 
3.4%
서 2364
 
3.4%
울 1952
 
2.8%
경 1900
 
2.7%
역 1881
 
2.7%
남 1741
 
2.5%
Other values (244) 36658
52.0%
ASCII
ValueCountFrequency (%)
6864
80.6%
K 252
 
3.0%
T 237
 
2.8%
( 225
 
2.6%
) 225
 
2.6%
L 148
 
1.7%
S 124
 
1.5%
+ 120
 
1.4%
G 119
 
1.4%
U 108
 
1.3%
Other values (12) 89
 
1.0%
None
ValueCountFrequency (%)
㈜ 11
100.0%

관리기관전화번호
Text

Distinct607
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:00:05.832907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.8573
Min length3

Characters and Unicode

Total characters118573
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

Unique274 ?
Unique (%)2.7%

Sample

1st row041-339-7244
2nd row033-250-3000
3rd row055-930-3082
4th row063-539-5424
5th row052-241-7252
ValueCountFrequency (%)
02-2133-2871 248
 
2.5%
062-613-3023 236
 
2.4%
051-888-4604 227
 
2.3%
064-710-2352 205
 
2.1%
054-779-6203 202
 
2.0%
043-201-1345 201
 
2.0%
02-3140-8664 200
 
2.0%
033-737-2571 200
 
2.0%
1899-4876 198
 
2.0%
02-2600-6747 196
 
2.0%
Other values (597) 7887
78.9%
2023-12-12T20:00:06.403989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20314
17.1%
- 19557
16.5%
2 14641
12.3%
3 13473
11.4%
1 9261
7.8%
5 8888
7.5%
4 8664
7.3%
6 8043
 
6.8%
7 6022
 
5.1%
8 5945
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99016
83.5%
Dash Punctuation 19557
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20314
20.5%
2 14641
14.8%
3 13473
13.6%
1 9261
9.4%
5 8888
9.0%
4 8664
8.8%
6 8043
 
8.1%
7 6022
 
6.1%
8 5945
 
6.0%
9 3765
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 19557
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20314
17.1%
- 19557
16.5%
2 14641
12.3%
3 13473
11.4%
1 9261
7.8%
5 8888
7.5%
4 8664
7.3%
6 8043
 
6.8%
7 6022
 
5.1%
8 5945
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118573
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20314
17.1%
- 19557
16.5%
2 14641
12.3%
3 13473
11.4%
1 9261
7.8%
5 8888
7.5%
4 8664
7.3%
6 8043
 
6.8%
7 6022
 
5.1%
8 5945
 
5.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct7792
Distinct (%)78.3%
Missing46
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean36.534482
Minimum33.166438
Maximum38.586458
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:00:06.623626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.166438
5-th percentile34.829611
Q135.520647
median36.841546
Q337.518008
95-th percentile37.756952
Maximum38.586458
Range5.4200195
Interquartile range (IQR)1.9973609

Descriptive statistics

Standard deviation1.1239268
Coefficient of variation (CV)0.030763452
Kurtosis-0.46787534
Mean36.534482
Median Absolute Deviation (MAD)0.73735818
Skewness-0.66213966
Sum363664.24
Variance1.2632114
MonotonicityNot monotonic
2023-12-12T20:00:06.870242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.518008 52
 
0.5%
37.572245 46
 
0.5%
36.60032723 39
 
0.4%
37.5175282 36
 
0.4%
37.5744875 32
 
0.3%
35.1467445 32
 
0.3%
37.478321 31
 
0.3%
36.58696353 29
 
0.3%
37.30064066 27
 
0.3%
37.563456 23
 
0.2%
Other values (7782) 9607
96.1%
(Missing) 46
 
0.5%
ValueCountFrequency (%)
33.1664382 1
< 0.1%
33.1990731 1
< 0.1%
33.2062066 1
< 0.1%
33.20853348 1
< 0.1%
33.21083785 2
< 0.1%
33.21122844 1
< 0.1%
33.21876514 2
< 0.1%
33.22106183 1
< 0.1%
33.22144861 1
< 0.1%
33.22182791 2
< 0.1%
ValueCountFrequency (%)
38.5864577 1
< 0.1%
38.5148123745 1
< 0.1%
38.4936973768 1
< 0.1%
38.4813422 1
< 0.1%
38.4780952368 1
< 0.1%
38.4721881 1
< 0.1%
38.4708093 1
< 0.1%
38.4492762247 1
< 0.1%
38.4474808129 1
< 0.1%
38.3802958 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct7795
Distinct (%)78.3%
Missing51
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean127.48272
Minimum124.71366
Maximum130.91587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:00:07.099899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.71366
5-th percentile126.55935
Q1126.86672
median127.08941
Q3128.00527
95-th percentile129.16175
Maximum130.91587
Range6.2022128
Interquartile range (IQR)1.138546

Descriptive statistics

Standard deviation0.86601645
Coefficient of variation (CV)0.0067932064
Kurtosis-0.09217525
Mean127.48272
Median Absolute Deviation (MAD)0.3660546
Skewness0.92359838
Sum1268325.6
Variance0.74998449
MonotonicityNot monotonic
2023-12-12T20:00:07.353114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.114457 52
 
0.5%
126.832842 46
 
0.5%
127.4787178 39
 
0.4%
127.0474699 36
 
0.4%
127.0396311 32
 
0.3%
126.8404826732 31
 
0.3%
126.9512138 31
 
0.3%
127.3945469 29
 
0.3%
127.9820264 27
 
0.3%
127.036821 23
 
0.2%
Other values (7785) 9603
96.0%
(Missing) 51
 
0.5%
ValueCountFrequency (%)
124.713661 1
< 0.1%
124.715592 1
< 0.1%
124.716555 1
< 0.1%
124.7168071 1
< 0.1%
124.718223 1
< 0.1%
124.718387 1
< 0.1%
124.718669 1
< 0.1%
125.189826 1
< 0.1%
125.362603 1
< 0.1%
125.433392 1
< 0.1%
ValueCountFrequency (%)
130.9158738305 1
< 0.1%
130.9132529036 1
< 0.1%
130.9097592363 2
< 0.1%
130.9096621171 1
< 0.1%
130.9076766096 1
< 0.1%
130.9057068357 1
< 0.1%
130.9050462338 1
< 0.1%
130.9049952439 1
< 0.1%
130.9045795342 1
< 0.1%
130.9040277885 1
< 0.1%

데이터기준일자
Date

Distinct154
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-09-15 00:00:00
Maximum2020-10-30 00:00:00
2023-12-12T20:00:07.614726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:00:07.877905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct232
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:00:08.390120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row4610000
2nd row4180000
3rd row5480000
4th row4690000
5th row6310000
ValueCountFrequency (%)
6280000 221
 
2.2%
b551894 214
 
2.1%
5050000 210
 
2.1%
6500000 205
 
2.1%
6260000 203
 
2.0%
5710000 201
 
2.0%
3120000 200
 
2.0%
4190000 200
 
2.0%
6290000 199
 
2.0%
3150000 196
 
2.0%
Other values (222) 7951
79.5%
2023-12-12T20:00:09.094630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41416
59.2%
3 5453
 
7.8%
4 4921
 
7.0%
5 4473
 
6.4%
1 2830
 
4.0%
6 2786
 
4.0%
2 2730
 
3.9%
8 1860
 
2.7%
9 1756
 
2.5%
7 1502
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69727
99.6%
Uppercase Letter 273
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41416
59.4%
3 5453
 
7.8%
4 4921
 
7.1%
5 4473
 
6.4%
1 2830
 
4.1%
6 2786
 
4.0%
2 2730
 
3.9%
8 1860
 
2.7%
9 1756
 
2.5%
7 1502
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69727
99.6%
Latin 273
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41416
59.4%
3 5453
 
7.8%
4 4921
 
7.1%
5 4473
 
6.4%
1 2830
 
4.1%
6 2786
 
4.0%
2 2730
 
3.9%
8 1860
 
2.7%
9 1756
 
2.5%
7 1502
 
2.2%
Latin
ValueCountFrequency (%)
B 273
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41416
59.2%
3 5453
 
7.8%
4 4921
 
7.0%
5 4473
 
6.4%
1 2830
 
4.0%
6 2786
 
4.0%
2 2730
 
3.9%
8 1860
 
2.7%
9 1756
 
2.5%
7 1502
 
2.1%

제공기관명
Text

Distinct232
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:00:09.636465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.7379
Min length4

Characters and Unicode

Total characters77379
Distinct characters152
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row충청남도 예산군
2nd row강원도 춘천시
3rd row경상남도 합천군
4th row전라북도 정읍시
5th row울산광역시
ValueCountFrequency (%)
서울특별시 2083
 
11.3%
경기도 1186
 
6.4%
강원도 805
 
4.4%
경상북도 679
 
3.7%
전라남도 641
 
3.5%
부산광역시 540
 
2.9%
충청남도 529
 
2.9%
전라북도 523
 
2.8%
경상남도 520
 
2.8%
인천광역시 490
 
2.7%
Other values (206) 10429
56.6%
2023-12-12T20:00:10.436594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8425
 
10.9%
시 7808
 
10.1%
도 5589
 
7.2%
구 3859
 
5.0%
광 2874
 
3.7%
서 2782
 
3.6%
경 2623
 
3.4%
별 2353
 
3.0%
특 2353
 
3.0%
남 2305
 
3.0%
Other values (142) 36408
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68940
89.1%
Space Separator 8425
 
10.9%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7808
 
11.3%
도 5589
 
8.1%
구 3859
 
5.6%
광 2874
 
4.2%
서 2782
 
4.0%
경 2623
 
3.8%
별 2353
 
3.4%
특 2353
 
3.4%
남 2305
 
3.3%
울 2302
 
3.3%
Other values (139) 34092
49.5%
Space Separator
ValueCountFrequency (%)
8425
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68940
89.1%
Common 8439
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7808
 
11.3%
도 5589
 
8.1%
구 3859
 
5.6%
광 2874
 
4.2%
서 2782
 
4.0%
경 2623
 
3.8%
별 2353
 
3.4%
특 2353
 
3.4%
남 2305
 
3.3%
울 2302
 
3.3%
Other values (139) 34092
49.5%
Common
ValueCountFrequency (%)
8425
99.8%
( 7
 
0.1%
) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68940
89.1%
ASCII 8439
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8425
99.8%
( 7
 
0.1%
) 7
 
0.1%
Hangul
ValueCountFrequency (%)
시 7808
 
11.3%
도 5589
 
8.1%
구 3859
 
5.6%
광 2874
 
4.2%
서 2782
 
4.0%
경 2623
 
3.8%
별 2353
 
3.4%
특 2353
 
3.4%
남 2305
 
3.3%
울 2302
 
3.3%
Other values (139) 34092
49.5%

Interactions

2023-12-12T19:59:52.502487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:52.169849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:52.673364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:52.326493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:00:10.622310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시도명설치시설구분위도경도
설치시도명1.0000.5770.9080.834
설치시설구분0.5771.0000.4780.407
위도0.9080.4781.0000.553
경도0.8340.4070.5531.000
2023-12-12T20:00:10.800734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치시설구분설치시도명
설치시설구분1.0000.192
설치시도명0.1921.000
2023-12-12T20:00:10.959591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치시도명설치시설구분
위도1.000-0.2150.6630.187
경도-0.2151.0000.5270.160
설치시도명0.6630.5271.0000.192
설치시설구분0.1870.1600.1921.000

Missing values

2023-12-12T19:59:52.930685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:59:53.304359image/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.
2023-12-12T19:59:53.590909image/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

설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자제공기관코드제공기관명
6307광시면주민자치센터광시면주민자치센터충청남도예산군관공서SKTPublic WiFi<NA>충청남도 예산군 광시면 광시소길 16-1충청남도 예산군 광시면 광시리 95충청남도 예산군청041-339-724436.549153126.773242020-03-114610000충청남도 예산군
10728세경3차(주정차)시내버스 정류장강원도춘천시교통시설KTchunchoun Free Wifi2018-06강원도 춘천시 후평동 846-3강원도 춘천시 후평동 846-3강원도 춘천시청033-250-300037.88378127.7413782019-07-014180000강원도 춘천시
7343가회면민원실경상남도합천군관공서경상남도 합천군청Public_wifi@Hapcheon2020-01경상남도 합천군 가회면 황매산로 52경상남도 합천군 가회면 덕촌리 385-2경상남도 합천군청055-930-308235.435143128.033142020-09-255480000경상남도 합천군
18516태인면사무소민원실전라북도정읍시관공서LG U+Public WiFi Free2014-12전라북도 정읍시 태인면 정읍북로 1193전라북도 정읍시 태인면 태창리 425전라북도 정읍시청063-539-542435.65057126.9320862020-01-314690000전라북도 정읍시
24136태연재활원식당,강당,옥외울산광역시북구서민·복지시설SKTpublic wifi free<NA>울산광역시 북구 대안4길 60울산광역시 북구 대안동 156울산광역시 북구청052-241-725235.520239129.3367752020-03-186310000울산광역시
10912낙동면사무소1층 민원실경상북도상주시관공서KT<NA>2015-12경상북도 상주시 낙동면 상촌1길 29경상북도 상주시 낙동면 상촌리 705-2경상북도 상주시청054-537-708236.37496128.2481622019-05-275110000경상북도 상주시
11989식사중앙근린공원S-6133경기도고양시기타KTG_PublicWifi_Goyang, PublicWifi_Goyang2019-07경기도 고양시 일산동구 식사동 산 122-4경기도 고양시 일산동구 식사동 산 122-4경기도 고양시청031-8075-260837.677694126.8140952019-11-123940000경기도 고양시
18208공원샛별어린이공원서울특별시성북구기타서울시Seongbuk WiFi2013-01서울특별시 성북구 화랑로42길 44<NA>서울시(LGU+)02-2241-455237.613929127.0645322020-04-213070000서울특별시 성북구
9261강남구청본관 옥상서울특별시강남구관공서강남구Gangnam2018-05서울특별시 강남구 학동로 426서울특별시 강남구 삼성동 16-1서울특별시 강남구청02-3423-534237.517528127.047472020-09-013220000서울특별시 강남구
16095안성공정진료소진료실전라북도무주군서민·복지시설KT<NA>2017-09전라북도 무주군 안성면 칠연로 358전라북도 무주군 안성면 공정리 1707전라북도 무주군청063-320-230935.847352127.6776212019-11-264740000전라북도 무주군
설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자제공기관코드제공기관명
4659복곡탐방지원센터내부경상남도남해군관공서KTPublic WiFi Free2012-12경상남도 남해군 이동면 보리암로 586경상남도 남해군 이동면 신전리 산116-2KT1899-487634.755242127.9913252020-06-195430000경상남도 남해군
9841양정1동 주민센터양정1동 주민센터 1층부산광역시부산진구관공서SKTPublicWifiFree2012-12부산광역시 부산진구부산광역시 부산진구 양정동 81-28부산진구청051-605-417435.172662129.0731752020-03-253290000부산광역시 부산진구
7651경인교대역승강장인천광역시계양구교통시설LGU+FREE_U+zone / U+zone2011-12인천광역시 계양구 계양대로 지하 162인천광역시 계양구 계산동 1034인천교통공사032-553-339437.538272126.7226032020-04-30B551894인천교통공사
16924신안동 주민센터동주민센터내광주광역시북구관공서LGU+Public wifi free<NA>광주광역시 북구 자산로 66(신안동)광주광역시 북구 신안동 500-5광주광역시 북구청062-410-691235.167443126.8987242020-06-303620000광주광역시 북구
12045초정마을버스정류장인천광역시계양구기타LG헬로Gyeyanggu wifi2017-06인천광역시 계양구 계양문화로 168(용종동, 초정마을하나아파트)인천광역시 계양구 용종동 228-1인천광역시 계양구청032-450-678137.539834126.7421732020-07-143550000인천광역시 계양구
9655성수보건지소보건지소내전라북도임실군관공서KTPublic WiFi Free2019-10전라북도 임실군 성수면 월삼로 356전라북도 임실군 성수면 양지리 1083-240성수보건지소063-640-320535.629528127.3350312020-03-104760000전라북도 임실군
16857희망지역자활센터사무실광주광역시북구서민·복지시설SKTPublic wifi free<NA>광주광역시 북구 설죽로 217번길 10-9광주광역시 북구 용봉동 1372-1광주광역시 북구청062-512-077335.179638126.8963692020-06-303620000광주광역시 북구
13908운일암반일암대불주차장전라북도전라북도 진안군관광SKKOREA FREE WIFI_5G2018-12<NA>전라북도 진안군 주천면 대불리 27-2전라북도 진안군청063-430-260035.979942127.3960072019-09-164730000전라북도 진안군
23724마중공원수원시 권선구 권선동 1348경기도수원시기타KTPublicWiFi@Suwon2019-01<NA>경기도 수원시 권선구 권선동 1348정보통신과031-228-300037.236487127.0212082020-08-213740000경기도 수원시
540211코스-인향동쉼터-버스정류장 1-1통신주-구남물 방향 일대제주특별자치도서귀포시관광KTJeju Free WiFI<NA><NA>제주특별자치도 서귀포시 대정읍 무릉리 322-1정보정책과064-710-235233.27657126.2437132020-10-286500000제주특별자치도

Duplicate rows

Most frequently occurring

설치장소명설치장소상세설치시도명설치시군구명설치시설구분서비스제공사명와이파이SSID설치년월소재지도로명주소소재지지번주소관리기관명관리기관전화번호위도경도데이터기준일자제공기관코드제공기관명# duplicates
161불국사불국사경상북도경주시관광경상북도 경주시청Golden-Fi Gyeongju2018-08<NA>경상북도 경주시 진현동 산15-1경상북도 경주시청054-779-620335.781688129.3440912019-09-215050000경상북도 경주시11
190시립동부노인전문요양센터마장로23길 12서울특별시성동구서민·복지시설미래부(SKT)<NA>2014-01서울특별시 성동구 마장로23길 12<NA>미래부(SKT)02-2286-517737.567496127.0327812020-10-153030000서울특별시 성동구9
23강남스포츠문화센터강남스포츠문화센터 내서울특별시강남구편의시설미래부(SKT)PublicWiFi@Seoul2018-10서울특별시 강남구 밤고개로1길 52서울특별시 강남구 수서동 718서울특별시 강남구청02-3423-534237.488967127.1052752020-09-013220000서울특별시 강남구7
86대릉원대릉원경상북도경주시관광경상북도 경주시청Golden-Fi Gyeongju2018-08경상북도 경주시 계림로 9<NA>경상북도 경주시청054-779-620335.839167129.210712019-09-215050000경상북도 경주시7
211안심상가성수동2가 284-22서울특별시성동구기타성동구PublicWiFi@Seongdong2019-01서울특별시 성동구 성수일로12길 20<NA>서울특별시 성동구02-2286-517737.548182127.0533532020-10-153030000서울특별시 성동구7
259이천농업테마공원공원내경기도이천시기타KTPublic WiFi Free2001-01경기도 이천시 모가면 공원로 48<NA>경기도 이천시청031-644-208737.17753127.4454092020-02-114070000경기도 이천시7
170서대문체육회관문화체육회관내서울특별시서대문구문화관광KTPublic WiFi FREE2014-12서울특별시 서대문구 백련사길 39서울특별시 서대문구 홍은동 산 26-155과기정통부02-3140-866437.58076126.9315572020-01-013120000서울특별시 서대문구6
198신월보건지소서울특별시 양천구 남부순환로 407 (신월동)서울특별시양천구관공서서울특별시 양천구청Public WiFi@yangcheon2017-10서울특별시 양천구 남부순환로 407 (신월동)<NA>서울특별시 양천구청02-2620-325237.531339126.8318242020-04-303140000서울특별시 양천구6
288청계천문화관청계천문화관서울특별시성동구지역문화시설서울시PublicWiFi@Seoul2012-01서울특별시 성동구 청계천로 530<NA>서울시02-2133-686437.571847127.0349682020-10-153030000서울특별시 성동구6
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