Overview

Dataset statistics

Number of variables19
Number of observations438
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.9 KiB
Average record size in memory156.3 B

Variable types

Numeric3
Categorical9
Text6
DateTime1

Alerts

데이터기준 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 순번 and 6 other fieldsHigh correlation
시설구분 is highly overall correlated with 시군명 and 2 other fieldsHigh correlation
제공사명 is highly overall correlated with 순번 and 4 other fieldsHigh correlation
와이파이 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
설치년월 is highly overall correlated with 순번 and 5 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:11:06.369311
Analysis finished2024-03-14 02:11:08.673104
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct438
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.47945
Minimum1
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-03-14T11:11:08.733070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.85
Q1111.25
median220.5
Q3329.75
95-th percentile418.15
Maximum440
Range439
Interquartile range (IQR)218.5

Descriptive statistics

Standard deviation127.09921
Coefficient of variation (CV)0.57646737
Kurtosis-1.1949436
Mean220.47945
Median Absolute Deviation (MAD)109.5
Skewness-0.00010548604
Sum96570
Variance16154.209
MonotonicityStrictly increasing
2024-03-14T11:11:08.863481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
291 1
 
0.2%
302 1
 
0.2%
301 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
Other values (428) 428
97.7%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
440 1
0.2%
439 1
0.2%
438 1
0.2%
437 1
0.2%
436 1
0.2%
435 1
0.2%
434 1
0.2%
433 1
0.2%
432 1
0.2%
431 1
0.2%

시군명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
완주군
102 
남원시
65 
전주시
65 
순창군
40 
고창군
29 
Other values (8)
137 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
완주군 102
23.3%
남원시 65
14.8%
전주시 65
14.8%
순창군 40
 
9.1%
고창군 29
 
6.6%
무주군 28
 
6.4%
정읍시 26
 
5.9%
부안군 20
 
4.6%
진안군 18
 
4.1%
익산시 16
 
3.7%
Other values (3) 29
 
6.6%

Length

2024-03-14T11:11:08.977129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주군 102
23.3%
남원시 65
14.8%
전주시 65
14.8%
순창군 40
 
9.1%
고창군 29
 
6.6%
무주군 28
 
6.4%
정읍시 26
 
5.9%
부안군 20
 
4.6%
진안군 18
 
4.1%
익산시 16
 
3.7%
Other values (3) 29
 
6.6%

설치장소명
Text

Distinct416
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:09.186299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.803653
Min length3

Characters and Unicode

Total characters2980
Distinct characters257
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique409 ?
Unique (%)93.4%

Sample

1st row익산시청소년수련관
2nd row익산시노인종합복지관
3rd row익산장
4th row중앙시장
5th row남부시장
ValueCountFrequency (%)
주민센터 16
 
3.1%
보건지소 15
 
2.9%
면사무소 14
 
2.7%
덕진구청 12
 
2.3%
대둔산관광호텔 7
 
1.4%
2 4
 
0.8%
송동 4
 
0.8%
주천 4
 
0.8%
운봉 4
 
0.8%
1 4
 
0.8%
Other values (402) 431
83.7%
2024-03-14T11:11:09.517270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 232
 
7.8%
보 119
 
4.0%
건 113
 
3.8%
무 102
 
3.4%
사 101
 
3.4%
지 97
 
3.3%
주 92
 
3.1%
동 78
 
2.6%
77
 
2.6%
터 76
 
2.6%
Other values (247) 1893
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2857
95.9%
Space Separator 77
 
2.6%
Decimal Number 36
 
1.2%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 232
 
8.1%
보 119
 
4.2%
건 113
 
4.0%
무 102
 
3.6%
사 101
 
3.5%
지 97
 
3.4%
주 92
 
3.2%
동 78
 
2.7%
터 76
 
2.7%
면 73
 
2.6%
Other values (240) 1774
62.1%
Decimal Number
ValueCountFrequency (%)
2 16
44.4%
1 16
44.4%
3 3
 
8.3%
4 1
 
2.8%
Space Separator
ValueCountFrequency (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2857
95.9%
Common 123
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 232
 
8.1%
보 119
 
4.2%
건 113
 
4.0%
무 102
 
3.6%
사 101
 
3.5%
지 97
 
3.4%
주 92
 
3.2%
동 78
 
2.7%
터 76
 
2.7%
면 73
 
2.6%
Other values (240) 1774
62.1%
Common
ValueCountFrequency (%)
77
62.6%
2 16
 
13.0%
1 16
 
13.0%
( 5
 
4.1%
) 5
 
4.1%
3 3
 
2.4%
4 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2857
95.9%
ASCII 123
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 232
 
8.1%
보 119
 
4.2%
건 113
 
4.0%
무 102
 
3.6%
사 101
 
3.5%
지 97
 
3.4%
주 92
 
3.2%
동 78
 
2.7%
터 76
 
2.7%
면 73
 
2.6%
Other values (240) 1774
62.1%
ASCII
ValueCountFrequency (%)
77
62.6%
2 16
 
13.0%
1 16
 
13.0%
( 5
 
4.1%
) 5
 
4.1%
3 3
 
2.4%
4 1
 
0.8%

장소상세
Text

Distinct208
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:09.815637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length5.8173516
Min length2

Characters and Unicode

Total characters2548
Distinct characters219
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

Unique177 ?
Unique (%)40.4%

Sample

1st row세미나실
2nd row중앙복도
3rd row완도상회앞
4th row회의실
5th row시장중심
ValueCountFrequency (%)
민원실 91
 
14.4%
사무실 28
 
4.4%
진료대기실 24
 
3.8%
보건지소내 21
 
3.3%
1층 19
 
3.0%
진료실 17
 
2.7%
민원실(실내 16
 
2.5%
로비 15
 
2.4%
보건지소 15
 
2.4%
면사무소 14
 
2.2%
Other values (231) 371
58.8%
2024-03-14T11:11:10.212357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 254
 
10.0%
193
 
7.6%
원 130
 
5.1%
민 119
 
4.7%
소 91
 
3.6%
내 85
 
3.3%
사 70
 
2.7%
무 64
 
2.5%
건 64
 
2.5%
진 61
 
2.4%
Other values (209) 1417
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2090
82.0%
Space Separator 193
 
7.6%
Decimal Number 115
 
4.5%
Uppercase Letter 50
 
2.0%
Other Punctuation 41
 
1.6%
Close Punctuation 28
 
1.1%
Open Punctuation 27
 
1.1%
Math Symbol 3
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 254
 
12.2%
원 130
 
6.2%
민 119
 
5.7%
소 91
 
4.4%
내 85
 
4.1%
사 70
 
3.3%
무 64
 
3.1%
건 64
 
3.1%
진 61
 
2.9%
지 58
 
2.8%
Other values (186) 1094
52.3%
Decimal Number
ValueCountFrequency (%)
1 52
45.2%
2 27
23.5%
3 20
 
17.4%
0 6
 
5.2%
4 5
 
4.3%
6 2
 
1.7%
9 1
 
0.9%
8 1
 
0.9%
7 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 36
72.0%
E 3
 
6.0%
T 3
 
6.0%
P 2
 
4.0%
S 2
 
4.0%
V 2
 
4.0%
A 1
 
2.0%
I 1
 
2.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2090
82.0%
Common 408
 
16.0%
Latin 50
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 254
 
12.2%
원 130
 
6.2%
민 119
 
5.7%
소 91
 
4.4%
내 85
 
4.1%
사 70
 
3.3%
무 64
 
3.1%
건 64
 
3.1%
진 61
 
2.9%
지 58
 
2.8%
Other values (186) 1094
52.3%
Common
ValueCountFrequency (%)
193
47.3%
1 52
 
12.7%
, 41
 
10.0%
) 28
 
6.9%
( 27
 
6.6%
2 27
 
6.6%
3 20
 
4.9%
0 6
 
1.5%
4 5
 
1.2%
~ 3
 
0.7%
Other values (5) 6
 
1.5%
Latin
ValueCountFrequency (%)
F 36
72.0%
E 3
 
6.0%
T 3
 
6.0%
P 2
 
4.0%
S 2
 
4.0%
V 2
 
4.0%
A 1
 
2.0%
I 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2090
82.0%
ASCII 458
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 254
 
12.2%
원 130
 
6.2%
민 119
 
5.7%
소 91
 
4.4%
내 85
 
4.1%
사 70
 
3.3%
무 64
 
3.1%
건 64
 
3.1%
진 61
 
2.9%
지 58
 
2.8%
Other values (186) 1094
52.3%
ASCII
ValueCountFrequency (%)
193
42.1%
1 52
 
11.4%
, 41
 
9.0%
F 36
 
7.9%
) 28
 
6.1%
( 27
 
5.9%
2 27
 
5.9%
3 20
 
4.4%
0 6
 
1.3%
4 5
 
1.1%
Other values (13) 23
 
5.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
관공서
172 
복지시설
64 
보건시설
40 
기타
26 
지역문화시설
23 
Other values (22)
113 

Length

Max length10
Median length8
Mean length3.8150685
Min length2

Unique

Unique6 ?
Unique (%)1.4%

Sample

1st row복지시설
2nd row복지시설
3rd row전통시장
4th row전통시장
5th row전통시장

Common Values

ValueCountFrequency (%)
관공서 172
39.3%
복지시설 64
 
14.6%
보건시설 40
 
9.1%
기타 26
 
5.9%
지역문화시설 23
 
5.3%
서민·복지시설 23
 
5.3%
교통시설 19
 
4.3%
전통시장 15
 
3.4%
보건지소 11
 
2.5%
공공시설 7
 
1.6%
Other values (17) 38
 
8.7%

Length

2024-03-14T11:11:10.410237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관공서 172
39.0%
복지시설 67
 
15.2%
보건시설 40
 
9.1%
기타 26
 
5.9%
지역문화시설 23
 
5.2%
서민·복지시설 23
 
5.2%
교통시설 19
 
4.3%
전통시장 15
 
3.4%
보건지소 11
 
2.5%
공공시설 7
 
1.6%
Other values (17) 38
 
8.6%

제공사명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
KT
249 
SKT
69 
LGU+
67 
LG
28 
LG U+
 
18
Other values (2)
 
7

Length

Max length8
Median length2
Mean length2.6004566
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
KT 249
56.8%
SKT 69
 
15.8%
LGU+ 67
 
15.3%
LG 28
 
6.4%
LG U+ 18
 
4.1%
SK 6
 
1.4%
SK,KT,LG 1
 
0.2%

Length

2024-03-14T11:11:10.559840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:10.677356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kt 249
54.6%
skt 69
 
15.1%
lgu 67
 
14.7%
lg 46
 
10.1%
u 18
 
3.9%
sk 6
 
1.3%
sk,kt,lg 1
 
0.2%

와이파이
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Public WiFi Free
119 
-
85 
T브로
45 
Public Wifi FREE
29 
NESPOT
19 
Other values (41)
141 

Length

Max length30
Median length25
Mean length10.139269
Min length1

Unique

Unique26 ?
Unique (%)5.9%

Sample

1st rowPublic Wifi Free
2nd rowPublic Wifi Free
3rd rowPublic Wifi Free
4th rowPublic Wifi Free
5th rowPublic Wifi Free

Common Values

ValueCountFrequency (%)
Public WiFi Free 119
27.2%
- 85
19.4%
T브로 45
 
10.3%
Public Wifi FREE 29
 
6.6%
NESPOT 19
 
4.3%
Public Wifi Free 16
 
3.7%
Olleh wifi 16
 
3.7%
asiart jeonju 15
 
3.4%
Public WiFi FREE 13
 
3.0%
jeonju 13
 
3.0%
Other values (36) 68
15.5%

Length

2024-03-14T11:11:10.788784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
wifi 217
23.8%
free 197
21.6%
public 195
21.4%
89
9.7%
t브로 45
 
4.9%
jeonju 28
 
3.1%
asiart 27
 
3.0%
nespot 19
 
2.1%
olleh 16
 
1.8%
ip 10
 
1.1%
Other values (37) 70
 
7.7%

설치년월
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
-
65 
2009-06
46 
2014-11
42 
2013-11
33 
2015-10
33 
Other values (21)
219 

Length

Max length10
Median length7
Mean length6.2465753
Min length1

Unique

Unique6 ?
Unique (%)1.4%

Sample

1st row2014-07-01
2nd row2014-07-01
3rd row2014-07-01
4th row2014-07-01
5th row2014-07-01

Common Values

ValueCountFrequency (%)
- 65
14.8%
2009-06 46
10.5%
2014-11 42
9.6%
2013-11 33
 
7.5%
2015-10 33
 
7.5%
2014-10 31
 
7.1%
2014-12 29
 
6.6%
2013-10 24
 
5.5%
2010-08 20
 
4.6%
2014-07-01 16
 
3.7%
Other values (16) 99
22.6%

Length

2024-03-14T11:11:10.891562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
65
14.8%
2009-06 46
10.5%
2014-11 42
9.6%
2013-11 33
 
7.5%
2015-10 33
 
7.5%
2014-10 31
 
7.1%
2014-12 29
 
6.6%
2013-10 24
 
5.5%
2010-08 20
 
4.6%
2014-07-01 16
 
3.7%
Other values (16) 99
22.6%

도로명주소
Text

Distinct392
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:11.112999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length15.269406
Min length1

Characters and Unicode

Total characters6688
Distinct characters231
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique369 ?
Unique (%)84.2%

Sample

1st row익산시 동서로 476-21
2nd row익산시 동서로 103
3rd row익산시 인북로11길 27
4th row익산시 동서로14길 43
5th row익산시 평동로11길 12
ValueCountFrequency (%)
완주군 101
 
5.9%
전주시 65
 
3.8%
남원시 65
 
3.8%
순창군 39
 
2.3%
덕진구 33
 
1.9%
완산구 32
 
1.9%
고창군 29
 
1.7%
무주군 28
 
1.6%
정읍시 26
 
1.5%
부안군 20
 
1.2%
Other values (727) 1264
74.3%
2024-03-14T11:11:11.438070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1264
 
18.9%
로 294
 
4.4%
1 283
 
4.2%
군 265
 
4.0%
면 239
 
3.6%
주 236
 
3.5%
2 183
 
2.7%
시 178
 
2.7%
3 153
 
2.3%
5 152
 
2.3%
Other values (221) 3441
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4015
60.0%
Decimal Number 1312
 
19.6%
Space Separator 1264
 
18.9%
Dash Punctuation 95
 
1.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 294
 
7.3%
군 265
 
6.6%
면 239
 
6.0%
주 236
 
5.9%
시 178
 
4.4%
길 149
 
3.7%
완 137
 
3.4%
산 122
 
3.0%
읍 118
 
2.9%
창 106
 
2.6%
Other values (207) 2171
54.1%
Decimal Number
ValueCountFrequency (%)
1 283
21.6%
2 183
13.9%
3 153
11.7%
5 152
11.6%
4 112
 
8.5%
6 102
 
7.8%
8 94
 
7.2%
9 86
 
6.6%
7 79
 
6.0%
0 68
 
5.2%
Space Separator
ValueCountFrequency (%)
1264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4015
60.0%
Common 2673
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 294
 
7.3%
군 265
 
6.6%
면 239
 
6.0%
주 236
 
5.9%
시 178
 
4.4%
길 149
 
3.7%
완 137
 
3.4%
산 122
 
3.0%
읍 118
 
2.9%
창 106
 
2.6%
Other values (207) 2171
54.1%
Common
ValueCountFrequency (%)
1264
47.3%
1 283
 
10.6%
2 183
 
6.8%
3 153
 
5.7%
5 152
 
5.7%
4 112
 
4.2%
6 102
 
3.8%
- 95
 
3.6%
8 94
 
3.5%
9 86
 
3.2%
Other values (4) 149
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4015
60.0%
ASCII 2673
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1264
47.3%
1 283
 
10.6%
2 183
 
6.8%
3 153
 
5.7%
5 152
 
5.7%
4 112
 
4.2%
6 102
 
3.8%
- 95
 
3.6%
8 94
 
3.5%
9 86
 
3.2%
Other values (4) 149
 
5.6%
Hangul
ValueCountFrequency (%)
로 294
 
7.3%
군 265
 
6.6%
면 239
 
6.0%
주 236
 
5.9%
시 178
 
4.4%
길 149
 
3.7%
완 137
 
3.4%
산 122
 
3.0%
읍 118
 
2.9%
창 106
 
2.6%
Other values (207) 2171
54.1%

지번주소
Text

Distinct387
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:11.748537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length16.3379
Min length10

Characters and Unicode

Total characters7156
Distinct characters187
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

Unique360 ?
Unique (%)82.2%

Sample

1st row익산시 어양동 54-6
2nd row익산시 모현동2가 62-2
3rd row익산시 남중동35-9
4th row익산시 남중동 35-6
5th row익산시 인화동2가 7
ValueCountFrequency (%)
완주군 102
 
5.9%
전주시 65
 
3.8%
남원시 65
 
3.8%
순창군 40
 
2.3%
덕진구 33
 
1.9%
완산구 32
 
1.9%
고창군 29
 
1.7%
무주군 28
 
1.6%
정읍시 26
 
1.5%
부안군 20
 
1.2%
Other values (764) 1282
74.4%
2024-03-14T11:11:12.440913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1284
 
17.9%
1 334
 
4.7%
리 330
 
4.6%
- 312
 
4.4%
군 271
 
3.8%
면 241
 
3.4%
주 228
 
3.2%
2 215
 
3.0%
3 189
 
2.6%
4 177
 
2.5%
Other values (177) 3575
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3843
53.7%
Decimal Number 1717
24.0%
Space Separator 1284
 
17.9%
Dash Punctuation 312
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 330
 
8.6%
군 271
 
7.1%
면 241
 
6.3%
주 228
 
5.9%
시 176
 
4.6%
동 154
 
4.0%
완 135
 
3.5%
산 124
 
3.2%
읍 124
 
3.2%
창 98
 
2.6%
Other values (165) 1962
51.1%
Decimal Number
ValueCountFrequency (%)
1 334
19.5%
2 215
12.5%
3 189
11.0%
4 177
10.3%
6 173
10.1%
5 166
9.7%
7 120
 
7.0%
8 120
 
7.0%
0 114
 
6.6%
9 109
 
6.3%
Space Separator
ValueCountFrequency (%)
1284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 312
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3843
53.7%
Common 3313
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 330
 
8.6%
군 271
 
7.1%
면 241
 
6.3%
주 228
 
5.9%
시 176
 
4.6%
동 154
 
4.0%
완 135
 
3.5%
산 124
 
3.2%
읍 124
 
3.2%
창 98
 
2.6%
Other values (165) 1962
51.1%
Common
ValueCountFrequency (%)
1284
38.8%
1 334
 
10.1%
- 312
 
9.4%
2 215
 
6.5%
3 189
 
5.7%
4 177
 
5.3%
6 173
 
5.2%
5 166
 
5.0%
7 120
 
3.6%
8 120
 
3.6%
Other values (2) 223
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3843
53.7%
ASCII 3313
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1284
38.8%
1 334
 
10.1%
- 312
 
9.4%
2 215
 
6.5%
3 189
 
5.7%
4 177
 
5.3%
6 173
 
5.2%
5 166
 
5.0%
7 120
 
3.6%
8 120
 
3.6%
Other values (2) 223
 
6.7%
Hangul
ValueCountFrequency (%)
리 330
 
8.6%
군 271
 
7.1%
면 241
 
6.3%
주 228
 
5.9%
시 176
 
4.6%
동 154
 
4.0%
완 135
 
3.5%
산 124
 
3.2%
읍 124
 
3.2%
창 98
 
2.6%
Other values (165) 1962
51.1%

관리기관명
Text

Distinct77
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:12.752720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.4109589
Min length1

Characters and Unicode

Total characters1932
Distinct characters124
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

Unique66 ?
Unique (%)15.1%

Sample

1st row익산시청
2nd row익산시청
3rd row익산시청
4th row익산시청
5th row익산시청
ValueCountFrequency (%)
완주군청 102
23.3%
남원시청 64
14.6%
순창군청 40
 
9.1%
무주군청 28
 
6.4%
덕진구청 27
 
6.2%
정읍시청 26
 
5.9%
전주시청 19
 
4.3%
완산구청 19
 
4.3%
진안군청 18
 
4.1%
익산시청 16
 
3.7%
Other values (67) 79
18.0%
2024-03-14T11:11:13.101783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 381
19.7%
군 208
 
10.8%
주 149
 
7.7%
시 128
 
6.6%
완 121
 
6.3%
원 67
 
3.5%
남 64
 
3.3%
무 53
 
2.7%
진 52
 
2.7%
창 47
 
2.4%
Other values (114) 662
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1923
99.5%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 381
19.8%
군 208
 
10.8%
주 149
 
7.7%
시 128
 
6.7%
완 121
 
6.3%
원 67
 
3.5%
남 64
 
3.3%
무 53
 
2.8%
진 52
 
2.7%
창 47
 
2.4%
Other values (111) 653
34.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1923
99.5%
Common 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 381
19.8%
군 208
 
10.8%
주 149
 
7.7%
시 128
 
6.7%
완 121
 
6.3%
원 67
 
3.5%
남 64
 
3.3%
무 53
 
2.8%
진 52
 
2.7%
창 47
 
2.4%
Other values (111) 653
34.0%
Common
ValueCountFrequency (%)
) 4
44.4%
( 4
44.4%
- 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1923
99.5%
ASCII 9
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 381
19.8%
군 208
 
10.8%
주 149
 
7.7%
시 128
 
6.7%
완 121
 
6.3%
원 67
 
3.5%
남 64
 
3.3%
무 53
 
2.8%
진 52
 
2.7%
창 47
 
2.4%
Other values (111) 653
34.0%
ASCII
ValueCountFrequency (%)
) 4
44.4%
( 4
44.4%
- 1
 
11.1%

전화번호
Text

Distinct179
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-03-14T11:11:13.317100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.924658
Min length1

Characters and Unicode

Total characters5223
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

Unique159 ?
Unique (%)36.3%

Sample

1st row063-859-5815
2nd row063-859-5815
3rd row063-859-5815
4th row063-859-5815
5th row063-859-5815
ValueCountFrequency (%)
063-620-6220 64
 
14.6%
063-320-2309 28
 
6.4%
063-270-6200 27
 
6.2%
063-539-5424 26
 
5.9%
063-281-2424 19
 
4.3%
063-220-5500 19
 
4.3%
063-430-2600 18
 
4.1%
063-859-5815 16
 
3.7%
063-350-2141 13
 
3.0%
063-290-2442 12
 
2.7%
Other values (169) 196
44.7%
2024-03-14T11:11:13.636989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1047
20.0%
- 873
16.7%
6 762
14.6%
2 729
14.0%
3 712
13.6%
5 295
 
5.6%
4 241
 
4.6%
1 183
 
3.5%
9 168
 
3.2%
8 140
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4350
83.3%
Dash Punctuation 873
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1047
24.1%
6 762
17.5%
2 729
16.8%
3 712
16.4%
5 295
 
6.8%
4 241
 
5.5%
1 183
 
4.2%
9 168
 
3.9%
8 140
 
3.2%
7 73
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 873
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1047
20.0%
- 873
16.7%
6 762
14.6%
2 729
14.0%
3 712
13.6%
5 295
 
5.6%
4 241
 
4.6%
1 183
 
3.5%
9 168
 
3.2%
8 140
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1047
20.0%
- 873
16.7%
6 762
14.6%
2 729
14.0%
3 712
13.6%
5 295
 
5.6%
4 241
 
4.6%
1 183
 
3.5%
9 168
 
3.2%
8 140
 
2.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct391
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.17627
Minimum126.49527
Maximum127.85114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-03-14T11:11:13.763601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.49527
5-th percentile126.68306
Q1127.08258
median127.15689
Q3127.33875
95-th percentile127.62638
Maximum127.85114
Range1.3558721
Interquartile range (IQR)0.25616265

Descriptive statistics

Standard deviation0.27110432
Coefficient of variation (CV)0.002131721
Kurtosis-0.001944481
Mean127.17627
Median Absolute Deviation (MAD)0.15120264
Skewness-0.17465297
Sum55703.206
Variance0.073497555
MonotonicityNot monotonic
2024-03-14T11:11:13.896990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1345616 13
 
3.0%
127.33048432 7
 
1.6%
127.08258444 4
 
0.9%
127.14063289 4
 
0.9%
127.16529162 3
 
0.7%
127.67239938 3
 
0.7%
127.14510372 3
 
0.7%
127.62321948 2
 
0.5%
127.0926497 2
 
0.5%
127.07497217 2
 
0.5%
Other values (381) 395
90.2%
ValueCountFrequency (%)
126.49526571 1
0.2%
126.51129511 1
0.2%
126.51307305 1
0.2%
126.52863443 1
0.2%
126.53902312 1
0.2%
126.55094657 1
0.2%
126.56088799 1
0.2%
126.58300649 1
0.2%
126.6033961 1
0.2%
126.60561754 1
0.2%
ValueCountFrequency (%)
127.85113782 1
 
0.2%
127.84998202 1
 
0.2%
127.84900688 1
 
0.2%
127.7898046 1
 
0.2%
127.7880424 1
 
0.2%
127.7819977 1
 
0.2%
127.7583736 1
 
0.2%
127.71530627 1
 
0.2%
127.67760013 1
 
0.2%
127.67239938 3
0.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct391
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.711384
Minimum35.326992
Maximum36.138072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-03-14T11:11:14.024644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.326992
5-th percentile35.366879
Q135.464243
median35.790021
Q335.90978
95-th percentile36.032238
Maximum36.138072
Range0.81107979
Interquartile range (IQR)0.44553674

Descriptive statistics

Standard deviation0.23187974
Coefficient of variation (CV)0.0064931604
Kurtosis-1.32987
Mean35.711384
Median Absolute Deviation (MAD)0.17932785
Skewness-0.15668094
Sum15641.586
Variance0.053768215
MonotonicityNot monotonic
2024-03-14T11:11:14.148646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8293589 13
 
3.0%
36.116259995 7
 
1.6%
35.918016071 4
 
0.9%
35.366878724 4
 
0.9%
35.934433799 3
 
0.7%
36.005548473 3
 
0.7%
35.371844991 3
 
0.7%
35.41905769 2
 
0.5%
35.921246824 2
 
0.5%
35.910141459 2
 
0.5%
Other values (381) 395
90.2%
ValueCountFrequency (%)
35.326991749 1
0.2%
35.327958365 1
0.2%
35.335355131 1
0.2%
35.336596016 2
0.5%
35.339276384 1
0.2%
35.339475851 1
0.2%
35.339733238 1
0.2%
35.340130687 1
0.2%
35.341181377 1
0.2%
35.346978481 1
0.2%
ValueCountFrequency (%)
36.138071543 1
 
0.2%
36.124596 1
 
0.2%
36.117924215 1
 
0.2%
36.116259995 7
1.6%
36.093725784 1
 
0.2%
36.093325217 1
 
0.2%
36.092411903 1
 
0.2%
36.089200237 1
 
0.2%
36.069546826 1
 
0.2%
36.067995585 1
 
0.2%

데이터기준
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2015-09-30 00:00:00
Maximum2015-09-30 00:00:00
2024-03-14T11:11:14.244399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:14.326257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
정보화총괄과
438 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보화총괄과 438
100.0%

Length

2024-03-14T11:11:14.410808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:14.485773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보화총괄과 438
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
공개
438 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 438
100.0%

Length

2024-03-14T11:11:14.582360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:14.745421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 438
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2015.1
438 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 438
100.0%

Length

2024-03-14T11:11:14.982030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:15.134527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 438
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
1년
438 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 438
100.0%

Length

2024-03-14T11:11:15.239778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:11:15.315238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 438
100.0%

Interactions

2024-03-14T11:11:07.996505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:07.488246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:07.709507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:08.139852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:07.555157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:07.781875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:08.256427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:07.628897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:11:07.880054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:11:15.368190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설구분제공사명와이파이설치년월관리기관명경도위도
순번1.0000.9390.8340.7560.9270.9360.9700.9140.826
시군명0.9391.0000.9410.9130.9570.9981.0000.8890.821
시설구분0.8340.9411.0000.8740.7230.9210.9540.7830.723
제공사명0.7560.9130.8741.0000.8490.9370.9430.5660.582
와이파이0.9270.9570.7230.8491.0000.9030.9790.8570.820
설치년월0.9360.9980.9210.9370.9031.0000.9710.8770.863
관리기관명0.9701.0000.9540.9430.9790.9711.0000.9460.894
경도0.9140.8890.7830.5660.8570.8770.9461.0000.707
위도0.8260.8210.7230.5820.8200.8630.8940.7071.000
2024-03-14T11:11:15.464719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시군명제공사명설치년월와이파이
시설구분1.0000.6600.5910.5010.222
시군명0.6601.0000.7320.8920.679
제공사명0.5910.7321.0000.7420.522
설치년월0.5010.8920.7421.0000.412
와이파이0.2220.6790.5220.4121.000
2024-03-14T11:11:15.553002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번경도위도시군명시설구분제공사명와이파이설치년월
순번1.000-0.2410.3850.7700.4800.5140.6230.692
경도-0.2411.0000.0950.6440.4130.3290.4820.552
위도0.3850.0951.0000.5230.3520.3410.4290.528
시군명0.7700.6440.5231.0000.6600.7320.6790.892
시설구분0.4800.4130.3520.6601.0000.5910.2220.501
제공사명0.5140.3290.3410.7320.5911.0000.5220.742
와이파이0.6230.4820.4290.6790.2220.5221.0000.412
설치년월0.6920.5520.5280.8920.5010.7420.4121.000

Missing values

2024-03-14T11:11:08.423663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:11:08.605497image/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

순번시군명설치장소명장소상세시설구분제공사명와이파이설치년월도로명주소지번주소관리기관명전화번호경도위도데이터기준자료출처공개여부작성일갱신주기
01익산시익산시청소년수련관세미나실복지시설SKTPublic Wifi Free2014-07-01익산시 동서로 476-21익산시 어양동 54-6익산시청063-859-5815126.98678535.950352015-09-30정보화총괄과공개2015.11년
12익산시익산시노인종합복지관중앙복도복지시설SKTPublic Wifi Free2014-07-01익산시 동서로 103익산시 모현동2가 62-2익산시청063-859-5815126.94575235.9570462015-09-30정보화총괄과공개2015.11년
23익산시익산장완도상회앞전통시장SKTPublic Wifi Free2014-07-01익산시 인북로11길 27익산시 남중동35-9익산시청063-859-5815126.95673335.951292015-09-30정보화총괄과공개2015.11년
34익산시중앙시장회의실전통시장SKTPublic Wifi Free2014-07-01익산시 동서로14길 43익산시 남중동 35-6익산시청063-859-5815126.9562535.9511292015-09-30정보화총괄과공개2015.11년
45익산시남부시장시장중심전통시장SKTPublic Wifi Free2014-07-01익산시 평동로11길 12익산시 인화동2가 7익산시청063-859-5815126.91825235.9378272015-09-30정보화총괄과공개2015.11년
56익산시시온육아원식당복지시설SKTPublic Wifi Free2014-07-01익산시 왕궁면 학호2길 29익산시 왕궁면 온수리 39-1익산시청063-859-5815127.08074835.9254592015-09-30정보화총괄과공개2015.11년
67익산시한마음주간보호실식당복지시설SKTPublic Wifi Free2014-07-01익산시 익산대로30길 11-1익산시 남중동 206-23익산시청063-859-5815126.95133735.9474932015-09-30정보화총괄과공개2015.11년
78익산시금마시장중앙통로전통시장SKTPublic Wifi Free2014-07-01익산시 금마면 금마4길 7익산시 금마면 동고도리 696-1익산시청063-859-5815127.05346835.991752015-09-30정보화총괄과공개2015.11년
89익산시이리보육원강당복지시설SKTPublic Wifi Free2014-07-01익산시 익산대로33길 28익산시 신용동 321-3익산시청063-859-5815126.95211735.9763642015-09-30정보화총괄과공개2015.11년
910익산시가나안사랑의집중앙복도복지시설SKTPublic Wifi Free2014-07-01익산시 서동로46길 22익산시 용제동 37-4익산시청063-859-5815127.00382935.9435342015-09-30정보화총괄과공개2015.11년
순번시군명설치장소명장소상세시설구분제공사명와이파이설치년월도로명주소지번주소관리기관명전화번호경도위도데이터기준자료출처공개여부작성일갱신주기
428431전주시서신동주민센터민원실관공서KTjeonju2009-06전주시 완산구 서신천변14길 10전주시 완산구 서신동 804-2완산구청063-220-5500127.11532635.8309872015-09-30정보화총괄과공개2015.11년
429432전주시평화1동주민센터민원실관공서KTiptime2009-06전주시 완산구 장승배기로 256전주시 완산구 평화동 1가 445-8완산구청063-220-5500127.14032135.7980662015-09-30정보화총괄과공개2015.11년
430433전주시효자2동주민센터민원실관공서KTjeonju2009-06전주시 완산구 오두정1길 1전주시 완산구 효자동 1가 408-9완산구청063-220-5500127.11951435.8068382015-09-30정보화총괄과공개2015.11년
431434전주시삼천1동주민센터민원실관공서KTjeonju2009-06전주시 완산구 성지산로 33전주시 완산구 삼천동 1가 573-2완산구청063-220-5500127.12161635.8008192015-09-30정보화총괄과공개2015.11년
432435전주시우아2동 주민센터민원실(실내)관공서KTasiart jeonju2009-06전주시 덕진구 진버들7길 25전주시 덕진구 우아동 2가 856-3덕진구청063-270-6200127.1670635.8377222015-09-30정보화총괄과공개2015.11년
433436전주시어린이교통공원건물 내교통시설KTPublic WiFi Free2009-01전주시 덕진구 번영로 453전주시 덕진구 용정동 50-1전주시청063-281-2424127.05668135.8750522015-09-30정보화총괄과공개2015.11년
434437전주시전주보건소건물 내관공서SKTPublic WiFi Free2014-01전주시 완산구 전라감영로 33전주시 완산구 중앙동4가 30-1전주시청063-281-2424127.14317435.8156252015-09-30정보화총괄과공개2015.11년
435438전주시호성동 주민센터민원실(실내)관공서KTasiart jeonju2009-06전주시 덕진구 동부대로 869전주시 덕진구 호성동 1가 863-44덕진구청063-270-6200127.14962435.863652015-09-30정보화총괄과공개2015.11년
436439전주시강암서예관건물 내지역문화시설KTPublic WiFi Free2010-01전주시 완산구 전주천동로 74전주시 완산구 교동 197전주시청063-281-2424127.15249135.8112452015-09-30정보화총괄과공개2015.11년
437440전주시전통문화센터한벽극장 로비지역문화시설KTPublic WiFi Free2010-01전주시 완산구 전주천동로 20전주시 완산구 교동 7-1전주시청063-281-2424127.15849335.8119872015-09-30정보화총괄과공개2015.11년