Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory976.6 KiB
Average record size in memory100.0 B

Variable types

DateTime3
Categorical3
Text1
Numeric4

Dataset

Description제주 신규 공공 와이파이 설치제거를 위한 도내 카테고리별 설치 및 이용 현황 데이터 매쉬업 결과 정보입니다. - 읍면동명, 맥주소, 서비스 사용시간, 사용횟수 등 정보 제공 - 서비스 사용시간 (초), 사용횟수 (건) - 제주빅데이터센터 데이터 활용
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/760

Alerts

데이터기준일자 has constant value ""Constant
시도명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
읍면동명 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 시도명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 읍면동명High correlation
서비스 사용시간 is highly overall correlated with 사용 횟수High correlation
사용 횟수 is highly overall correlated with 서비스 사용시간High correlation
서비스 사용시간 has 8907 (89.1%) zerosZeros
사용 횟수 has 8907 (89.1%) zerosZeros

Reproduction

Analysis started2023-12-11 19:29:31.270542
Analysis finished2023-12-11 19:29:34.903075
Duration3.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-01-01 00:00:00
Maximum2018-01-24 00:00:00
2023-12-12T04:29:34.971449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:35.133389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

시도명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제주시
5402 
서귀포시
4598 

Length

Max length4
Median length3
Mean length3.4598
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주시
2nd row제주시
3rd row서귀포시
4th row제주시
5th row서귀포시

Common Values

ValueCountFrequency (%)
제주시 5402
54.0%
서귀포시 4598
46.0%

Length

2023-12-12T04:29:35.308337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:29:35.439297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 5402
54.0%
서귀포시 4598
46.0%

읍면동명
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성산읍
 
536
천지동
 
526
송산동
 
488
조천읍
 
424
구좌읍
 
400
Other values (44)
7626 

Length

Max length4
Median length3
Mean length3.1065
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row봉개동
2nd row봉개동
3rd row대천동
4th row용담2동
5th row남원읍

Common Values

ValueCountFrequency (%)
성산읍 536
 
5.4%
천지동 526
 
5.3%
송산동 488
 
4.9%
조천읍 424
 
4.2%
구좌읍 400
 
4.0%
노형동 367
 
3.7%
봉개동 358
 
3.6%
애월읍 350
 
3.5%
연동 334
 
3.3%
표선면 329
 
3.3%
Other values (39) 5888
58.9%

Length

2023-12-12T04:29:35.571355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성산읍 536
 
5.4%
천지동 526
 
5.3%
송산동 488
 
4.9%
조천읍 424
 
4.2%
구좌읍 400
 
4.0%
노형동 367
 
3.7%
봉개동 358
 
3.6%
애월읍 350
 
3.5%
연동 334
 
3.3%
표선면 329
 
3.3%
Other values (39) 5888
58.9%

맥주소
Text

Distinct2269
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T04:29:35.928117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters640000
Distinct characters16
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

Unique172 ?
Unique (%)1.7%

Sample

1st row3f07eb10e07a64d295b6964283537c9d7aeccfeb68c5ce973503cd3ea21b2d79
2nd row6c64d3b75f3cd34b297edbfc0ef52fdf263e1577bbece3e92a2a94c4f65012b3
3rd row21fbe2003f760bf96e97753c49ffdc0f375594c52d1aa1246a0b4d704e40698b
4th rowbcf4ae75430c653c1c03a5d0809eb34aa4aa17b1f262bc6ca6bb44ebc5d060c7
5th row9b9a919bca7ca6aeea4c6a61c36d037f326b44641bb1c31e6871c6ac4c3866c9
ValueCountFrequency (%)
1a413f41f6df4f24fefd1f563fb21e33f96f4dca0d1be3c6d444be1a3b356ed2 35
 
0.4%
c8dcc32977e4e6b10ca85864365b4119d2035e6b0ac7c3ea0099553c0e0226c9 25
 
0.2%
7f6cfab8769278be04764f597c911cfd826f5533e3d524749659109d7732fa0a 24
 
0.2%
3a1ce5a34d05ac70d5cfdd6fdb6e24044e4ba25e5da97aabf261e73692b7524c 24
 
0.2%
f819871a735dbf8f8bd1dcf3eb8534130cfa817c5a46456c429adb647c4823ac 22
 
0.2%
c4bddca9c6e5ee93bd278847d844cf00227a2f3036128ef5abafc4296c9db301 22
 
0.2%
949a573dc2ac1090c30918dd159b4bcba6672d894a5e33d53bec0f6e674efb7d 21
 
0.2%
e53ee7e3dd32c69b86a84a19d4b59d1ce390020f2071e1933542cbdf5c00ec5a 21
 
0.2%
aa0fb5883b6421c496505089bf6d826da5ece1fc0c9404b845045b764f326b09 20
 
0.2%
16a84468cfdb5a1f1c51782fcb9dc9a29db0ed2d1d600ef32273ece54e12e955 19
 
0.2%
Other values (2259) 9767
97.7%
2023-12-12T04:29:36.448972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 41024
 
6.4%
3 40964
 
6.4%
6 40611
 
6.3%
7 40607
 
6.3%
4 40397
 
6.3%
a 40054
 
6.3%
0 40027
 
6.3%
c 39880
 
6.2%
9 39828
 
6.2%
e 39798
 
6.2%
Other values (6) 236810
37.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400178
62.5%
Lowercase Letter 239822
37.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 40964
10.2%
6 40611
10.1%
7 40607
10.1%
4 40397
10.1%
0 40027
10.0%
9 39828
10.0%
5 39609
9.9%
1 39517
9.9%
2 39428
9.9%
8 39190
9.8%
Lowercase Letter
ValueCountFrequency (%)
f 41024
17.1%
a 40054
16.7%
c 39880
16.6%
e 39798
16.6%
d 39573
16.5%
b 39493
16.5%

Most occurring scripts

ValueCountFrequency (%)
Common 400178
62.5%
Latin 239822
37.5%

Most frequent character per script

Common
ValueCountFrequency (%)
3 40964
10.2%
6 40611
10.1%
7 40607
10.1%
4 40397
10.1%
0 40027
10.0%
9 39828
10.0%
5 39609
9.9%
1 39517
9.9%
2 39428
9.9%
8 39190
9.8%
Latin
ValueCountFrequency (%)
f 41024
17.1%
a 40054
16.7%
c 39880
16.6%
e 39798
16.6%
d 39573
16.5%
b 39493
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 41024
 
6.4%
3 40964
 
6.4%
6 40611
 
6.3%
7 40607
 
6.3%
4 40397
 
6.3%
a 40054
 
6.3%
0 40027
 
6.3%
c 39880
 
6.2%
9 39828
 
6.2%
e 39798
 
6.2%
Other values (6) 236810
37.0%

개통일
Date

Distinct243
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-07-19 00:00:00
Maximum2020-04-27 00:00:00
2023-12-12T04:29:36.664778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:36.877924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1519
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.389733
Minimum33.166454
Maximum33.559583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:37.090548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.166454
5-th percentile33.24046
Q133.254669
median33.434054
Q333.496399
95-th percentile33.525975
Maximum33.559583
Range0.393129
Interquartile range (IQR)0.24173

Descriptive statistics

Standard deviation0.11409271
Coefficient of variation (CV)0.0034169997
Kurtosis-1.6561474
Mean33.389733
Median Absolute Deviation (MAD)0.0837675
Skewness-0.1928819
Sum333897.33
Variance0.013017146
MonotonicityNot monotonic
2023-12-12T04:29:37.313216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.437048 59
 
0.6%
33.2495 53
 
0.5%
33.244669 51
 
0.5%
33.511806 51
 
0.5%
33.246184 51
 
0.5%
33.249836 47
 
0.5%
33.248697 43
 
0.4%
33.247744 41
 
0.4%
33.243868 39
 
0.4%
33.245962 36
 
0.4%
Other values (1509) 9529
95.3%
ValueCountFrequency (%)
33.166453999999995 9
0.1%
33.199104 9
0.1%
33.205119 4
< 0.1%
33.2059 3
 
< 0.1%
33.205906 5
0.1%
33.206792 4
< 0.1%
33.207068 5
0.1%
33.208525 1
 
< 0.1%
33.208902 5
0.1%
33.209822 3
 
< 0.1%
ValueCountFrequency (%)
33.559583 6
0.1%
33.558634999999995 11
0.1%
33.557889 12
0.1%
33.557666 8
0.1%
33.55761 9
0.1%
33.557227000000005 8
0.1%
33.557167 8
0.1%
33.556926000000004 8
0.1%
33.556553 6
0.1%
33.556414000000004 2
 
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1528
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55543
Minimum126.16361
Maximum126.96873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:37.479158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16361
5-th percentile126.25855
Q1126.48999
median126.5518
Q3126.60837
95-th percentile126.89892
Maximum126.96873
Range0.805128
Interquartile range (IQR)0.118383

Descriptive statistics

Standard deviation0.16315193
Coefficient of variation (CV)0.0012891737
Kurtosis0.46974574
Mean126.55543
Median Absolute Deviation (MAD)0.06053
Skewness0.26592752
Sum1265554.3
Variance0.026618552
MonotonicityNot monotonic
2023-12-12T04:29:37.654968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.628152 59
 
0.6%
126.56658600000002 53
 
0.5%
126.526056 51
 
0.5%
126.557365 51
 
0.5%
126.559971 47
 
0.5%
126.563767 43
 
0.4%
126.564107 43
 
0.4%
126.5603 41
 
0.4%
126.564645 39
 
0.4%
126.569025 39
 
0.4%
Other values (1518) 9534
95.3%
ValueCountFrequency (%)
126.163606 3
 
< 0.1%
126.163778 2
 
< 0.1%
126.164197 4
< 0.1%
126.165759 6
0.1%
126.166233 4
< 0.1%
126.166301 5
0.1%
126.166819 8
0.1%
126.167783 4
< 0.1%
126.168003 8
0.1%
126.171035 5
0.1%
ValueCountFrequency (%)
126.968734 11
0.1%
126.967512 3
 
< 0.1%
126.967145 10
0.1%
126.9658 1
 
< 0.1%
126.965055 5
0.1%
126.964697 7
0.1%
126.959746 10
0.1%
126.959703 6
0.1%
126.959575 4
 
< 0.1%
126.957398 6
0.1%

카테고리
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
버스정류소
2331 
관광지
1992 
공원
928 
전기차충전소
916 
올레코스
885 
Other values (15)
2948 

Length

Max length13
Median length10
Mean length4.0816
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숲길
2nd row관광지
3rd row공원
4th row버스정류소
5th row전기차충전소

Common Values

ValueCountFrequency (%)
버스정류소 2331
23.3%
관광지 1992
19.9%
공원 928
 
9.3%
전기차충전소 916
 
9.2%
올레코스 885
 
8.8%
테마거리 836
 
8.4%
해변 472
 
4.7%
전통시장 397
 
4.0%
정류소 259
 
2.6%
공공기관 220
 
2.2%
Other values (10) 764
 
7.6%

Length

2023-12-12T04:29:37.814728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
버스정류소 2331
23.1%
관광지 1992
19.7%
공원 928
 
9.2%
전기차충전소 916
 
9.1%
올레코스 885
 
8.8%
테마거리 836
 
8.3%
해변 472
 
4.7%
전통시장 397
 
3.9%
정류소 259
 
2.6%
공공기관 220
 
2.2%
Other values (10) 852
 
8.4%

서비스 사용시간
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1080
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6072.3896
Minimum0
Maximum863092
Zeros8907
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:37.965304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26094
Maximum863092
Range863092
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32030.383
Coefficient of variation (CV)5.2747576
Kurtosis136.58213
Mean6072.3896
Median Absolute Deviation (MAD)0
Skewness9.5023469
Sum60723896
Variance1.0259455 × 109
MonotonicityNot monotonic
2023-12-12T04:29:38.116557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8907
89.1%
3935 2
 
< 0.1%
19203 2
 
< 0.1%
32 2
 
< 0.1%
333 2
 
< 0.1%
4257 2
 
< 0.1%
3506 2
 
< 0.1%
1622 2
 
< 0.1%
418 2
 
< 0.1%
552 2
 
< 0.1%
Other values (1070) 1075
 
10.8%
ValueCountFrequency (%)
0 8907
89.1%
11 1
 
< 0.1%
17 1
 
< 0.1%
32 2
 
< 0.1%
37 1
 
< 0.1%
44 1
 
< 0.1%
47 1
 
< 0.1%
53 1
 
< 0.1%
74 1
 
< 0.1%
75 1
 
< 0.1%
ValueCountFrequency (%)
863092 1
< 0.1%
719988 1
< 0.1%
613590 1
< 0.1%
456941 1
< 0.1%
437238 1
< 0.1%
437120 1
< 0.1%
397371 1
< 0.1%
393595 1
< 0.1%
374033 1
< 0.1%
368601 1
< 0.1%

사용 횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct291
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.6976
Minimum0
Maximum1815
Zeros8907
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:38.259393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile67.05
Maximum1815
Range1815
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.663071
Coefficient of variation (CV)4.9228866
Kurtosis229.94522
Mean10.6976
Median Absolute Deviation (MAD)0
Skewness11.404335
Sum106976
Variance2773.3991
MonotonicityNot monotonic
2023-12-12T04:29:38.421189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8907
89.1%
1 24
 
0.2%
8 18
 
0.2%
13 17
 
0.2%
4 17
 
0.2%
5 15
 
0.1%
21 14
 
0.1%
2 14
 
0.1%
31 14
 
0.1%
44 13
 
0.1%
Other values (281) 947
 
9.5%
ValueCountFrequency (%)
0 8907
89.1%
1 24
 
0.2%
2 14
 
0.1%
3 13
 
0.1%
4 17
 
0.2%
5 15
 
0.1%
6 10
 
0.1%
7 13
 
0.1%
8 18
 
0.2%
9 6
 
0.1%
ValueCountFrequency (%)
1815 1
< 0.1%
1106 1
< 0.1%
1101 1
< 0.1%
1012 1
< 0.1%
924 1
< 0.1%
708 1
< 0.1%
685 1
< 0.1%
642 1
< 0.1%
628 1
< 0.1%
618 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-12-15 00:00:00
Maximum2020-12-15 00:00:00
2023-12-12T04:29:38.559230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:38.660651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T04:29:34.015222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:32.238914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.020478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.559696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:34.151329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:32.354038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.147382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.686806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:34.294247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:32.761966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.280890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.794991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:34.433477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:32.888975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.420719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:33.883799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:29:38.729639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자시도명읍면동명위도경도카테고리서비스 사용시간사용 횟수
일자1.0000.0000.0000.0000.0000.0000.0000.000
시도명0.0001.0001.0000.9770.2640.3510.1650.123
읍면동명0.0001.0001.0000.9100.9600.7890.2300.229
위도0.0000.9770.9101.0000.7730.6340.1050.118
경도0.0000.2640.9600.7731.0000.5890.0600.109
카테고리0.0000.3510.7890.6340.5891.0000.2220.052
서비스 사용시간0.0000.1650.2300.1050.0600.2221.0000.810
사용 횟수0.0000.1230.2290.1180.1090.0520.8101.000
2023-12-12T04:29:39.040202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리시도명읍면동명
카테고리1.0000.2770.308
시도명0.2771.0000.998
읍면동명0.3080.9981.000
2023-12-12T04:29:39.128620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도서비스 사용시간사용 횟수시도명읍면동명카테고리
위도1.0000.105-0.259-0.2590.8680.6010.252
경도0.1051.0000.0390.0390.2020.7500.226
서비스 사용시간-0.2590.0391.0000.9990.1650.0840.089
사용 횟수-0.2590.0390.9991.0000.1320.0880.022
시도명0.8680.2020.1650.1321.0000.9980.277
읍면동명0.6010.7500.0840.0880.9981.0000.308
카테고리0.2520.2260.0890.0220.2770.3081.000

Missing values

2023-12-12T04:29:34.614901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:29:34.824941image/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

일자시도명읍면동명맥주소개통일위도경도카테고리서비스 사용시간사용 횟수데이터기준일자
488112018-01-19제주시봉개동3f07eb10e07a64d295b6964283537c9d7aeccfeb68c5ce973503cd3ea21b2d792017-08-2933.430803126.596469숲길002020-12-15
5102018-01-01제주시봉개동6c64d3b75f3cd34b297edbfc0ef52fdf263e1577bbece3e92a2a94c4f65012b32018-05-0833.437654126.628805관광지002020-12-15
573852018-01-22서귀포시대천동21fbe2003f760bf96e97753c49ffdc0f375594c52d1aa1246a0b4d704e40698b2019-10-1533.253531126.50488공원002020-12-15
488452018-01-19제주시용담2동bcf4ae75430c653c1c03a5d0809eb34aa4aa17b1f262bc6ca6bb44ebc5d060c72019-11-2533.50414126.503482버스정류소002020-12-15
576412018-01-22서귀포시남원읍9b9a919bca7ca6aeea4c6a61c36d037f326b44641bb1c31e6871c6ac4c3866c92020-04-0933.330928126.673888전기차충전소002020-12-15
573602018-01-22제주시구좌읍edbf2e9d2b5d9b90ff11a8c82d5d541347e16d38061ec64b7d5d3b671a6a3f622019-11-2933.506464126.91248테마거리002020-12-15
632982018-01-24제주시연동34e6f72f5b7f568e2d3f42206ededc046b94433db9b4f7840b61fb5f4455f8012017-12-1033.48608126.492714버스정류장 (10만이상)002020-12-15
557892018-01-21제주시애월읍ce6c5a2e18e70d35c2bad827186a9e703136ba81660684290d4d22a7daefa8f42019-06-1033.452777126.407411관광지002020-12-15
219862018-01-09서귀포시동홍동466bbb18cf81329a9007fbe4aa8afd27d7092773a26ddc4aabe4b9bfc13548862017-11-2233.251266126.570292공공기관002020-12-15
603602018-01-23서귀포시천지동de1ed0077b4765835739d672534b17839d16d1821b59469fa98acb945b2b8a802017-08-3033.242269126.567838테마거리394291032020-12-15
일자시도명읍면동명맥주소개통일위도경도카테고리서비스 사용시간사용 횟수데이터기준일자
57032018-01-03제주시용담1동eefe6b8af505288c920f4e5d2a3153f9cd7cf99d78fced98053ee83f6be358272017-08-2233.510861126.515889테마거리002020-12-15
615782018-01-23제주시봉개동b8f7413794a387dc0f3adac255f01974307cec335310005db188950eb5c501e32018-05-1433.437077126.627601관광지002020-12-15
274622018-01-11서귀포시남원읍557c5784b32d5cbc1c83104220addd79ab57b4c15b145b66c6f960a37a0022da2019-11-2833.320072126.744521체육시설002020-12-15
512662018-01-19서귀포시중앙동1db0bc513d713e0be2cac44c11748c5d1bc8808221f1f8adbdd19775d9c2f8f72017-08-3033.243868126.569025테마거리002020-12-15
379202018-01-14제주시조천읍e2e8ec3f060ddd6ec9867b6029aac6eb3432902e6df1eac0512fed7b42461a0c2018-04-1333.54171126.666498버스정류소002020-12-15
104052018-01-04제주시건입동d53db5c003120d44a966a946db559c96024e8c557cc56880e8425e830f35c3482019-06-1733.516206126.532109관광지002020-12-15
144952018-01-06제주시아라동89994b336c01cfcc2eedbdaed955c7d6168a448fdf31fbe25c234aeb1ebd50cc2018-04-0633.473529126.546589정류소002020-12-15
73102018-01-03서귀포시남원읍084f1d3216e029d47d81f28c2bc85071c32d3a7632af5169e708c43e7056ae942019-09-1933.279178126.723859올레코스002020-12-15
331412018-01-13서귀포시정방동345ffe27527df917cfe41636009d361e362247dda8d7fb1473fda88423d763252017-12-0833.247744126.5603전기차충전소002020-12-15
398762018-01-15서귀포시천지동5a3167aec5ae70b2ff51e4828d647455e760036bf60cdc94158dcfa9c16936062018-05-0433.2392126.558493관광지002020-12-15