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 3935 (39.4%) zerosZeros
사용 횟수 has 3935 (39.4%) zerosZeros

Reproduction

Analysis started2023-12-11 19:29:57.174839
Analysis finished2023-12-11 19:30:00.345709
Duration3.17 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
Minimum2020-01-01 00:00:00
Maximum2020-01-24 00:00:00
2023-12-12T04:30:00.391075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:30:00.512086image/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
5338 
서귀포시
4662 

Length

Max length4
Median length3
Mean length3.4662
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 5338
53.4%
서귀포시 4662
46.6%

Length

2023-12-12T04:30:00.647154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:30:00.743616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 5338
53.4%
서귀포시 4662
46.6%

읍면동명
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
천지동
 
564
송산동
 
544
성산읍
 
523
조천읍
 
454
구좌읍
 
362
Other values (43)
7553 

Length

Max length4
Median length3
Mean length3.1005
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아라동
2nd row연동
3rd row화북동
4th row대정읍
5th row일도2동

Common Values

ValueCountFrequency (%)
천지동 564
 
5.6%
송산동 544
 
5.4%
성산읍 523
 
5.2%
조천읍 454
 
4.5%
구좌읍 362
 
3.6%
봉개동 354
 
3.5%
노형동 338
 
3.4%
남원읍 337
 
3.4%
연동 334
 
3.3%
애월읍 333
 
3.3%
Other values (38) 5857
58.6%

Length

2023-12-12T04:30:00.851466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천지동 564
 
5.6%
송산동 544
 
5.4%
성산읍 523
 
5.2%
조천읍 454
 
4.5%
구좌읍 362
 
3.6%
봉개동 354
 
3.5%
노형동 338
 
3.4%
남원읍 337
 
3.4%
연동 334
 
3.3%
애월읍 333
 
3.3%
Other values (38) 5857
58.6%

맥주소
Text

Distinct2268
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T04:30:01.110846image/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

Unique171 ?
Unique (%)1.7%

Sample

1st row7fd8ecb0046eea08a5d495df22e383576138ff38e4ac8adf1de6a8d1d1f619b1
2nd row011619b952849dd1cdaeb72deecd206124982b60b561fbe35ef814533cf01828
3rd row728eb2f9ec84c4911672302717672883462e0e664c265f25e78e7fa446eee45a
4th rowa794a6b5fbf2cd615ce7b78c93102ddd2dae7695e297dd34fb153b8cce44dadf
5th row73b870039011e95217ecad316794693e0b9a64092f4c713d8be8f79fc265b89e
ValueCountFrequency (%)
1a413f41f6df4f24fefd1f563fb21e33f96f4dca0d1be3c6d444be1a3b356ed2 28
 
0.3%
f3c0572faee5b450d6a6690c16011af632fda9d2ccc00e53650a368c343c3722 24
 
0.2%
224524e04768211e9be826cd587df2e141685fd722e7687da0bf599be0586fb7 21
 
0.2%
bb6ec9a47a178c3f13cd7182a3f6751c5a9efd5208c90e780d11317a12cbb1d5 21
 
0.2%
42ecef9f3136948c6fed472e9cbf91dfcc48a9f363ddb102aaa1dea87cbfc677 21
 
0.2%
76663cf2d0d755d5ba92ed1541d0b15eee31d4e2c37118df9fd4be9f42ce245f 21
 
0.2%
22e389a08b8fcfee59205023a13148eb0a9417a11922fe6b929d033ee0eac7ea 20
 
0.2%
f819871a735dbf8f8bd1dcf3eb8534130cfa817c5a46456c429adb647c4823ac 20
 
0.2%
7f86ca2d5e165f62a60fa7760b7ec826712f358b9af78dcbf9b084dc8e0ee931 20
 
0.2%
7f6cfab8769278be04764f597c911cfd826f5533e3d524749659109d7732fa0a 19
 
0.2%
Other values (2258) 9785
97.9%
2023-12-12T04:30:01.496606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 40878
 
6.4%
f 40744
 
6.4%
6 40597
 
6.3%
3 40450
 
6.3%
0 40369
 
6.3%
4 40351
 
6.3%
e 40003
 
6.3%
d 39918
 
6.2%
1 39876
 
6.2%
a 39708
 
6.2%
Other values (6) 237106
37.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400557
62.6%
Lowercase Letter 239443
37.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 40878
10.2%
6 40597
10.1%
3 40450
10.1%
0 40369
10.1%
4 40351
10.1%
1 39876
10.0%
5 39657
9.9%
8 39601
9.9%
2 39438
9.8%
9 39340
9.8%
Lowercase Letter
ValueCountFrequency (%)
f 40744
17.0%
e 40003
16.7%
d 39918
16.7%
a 39708
16.6%
c 39666
16.6%
b 39404
16.5%

Most occurring scripts

ValueCountFrequency (%)
Common 400557
62.6%
Latin 239443
37.4%

Most frequent character per script

Common
ValueCountFrequency (%)
7 40878
10.2%
6 40597
10.1%
3 40450
10.1%
0 40369
10.1%
4 40351
10.1%
1 39876
10.0%
5 39657
9.9%
8 39601
9.9%
2 39438
9.8%
9 39340
9.8%
Latin
ValueCountFrequency (%)
f 40744
17.0%
e 40003
16.7%
d 39918
16.7%
a 39708
16.6%
c 39666
16.6%
b 39404
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 40878
 
6.4%
f 40744
 
6.4%
6 40597
 
6.3%
3 40450
 
6.3%
0 40369
 
6.3%
4 40351
 
6.3%
e 40003
 
6.3%
d 39918
 
6.2%
1 39876
 
6.2%
a 39708
 
6.2%
Other values (6) 237106
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
2023-12-12T04:30:01.635509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:30:01.766352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1518
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.388653
Minimum33.166454
Maximum33.559583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:30:01.899824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.166454
5-th percentile33.240735
Q133.254167
median33.433833
Q333.495949
95-th percentile33.526807
Maximum33.559583
Range0.393129
Interquartile range (IQR)0.241782

Descriptive statistics

Standard deviation0.11440922
Coefficient of variation (CV)0.0034265899
Kurtosis-1.6719394
Mean33.388653
Median Absolute Deviation (MAD)0.084408
Skewness-0.17222591
Sum333886.53
Variance0.01308947
MonotonicityNot monotonic
2023-12-12T04:30:02.046313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.437048 57
 
0.6%
33.249836 56
 
0.6%
33.2495 50
 
0.5%
33.243868 43
 
0.4%
33.248697 42
 
0.4%
33.246184 42
 
0.4%
33.511806 40
 
0.4%
33.245962 40
 
0.4%
33.244669 36
 
0.4%
33.249299 36
 
0.4%
Other values (1508) 9558
95.6%
ValueCountFrequency (%)
33.166453999999995 14
0.1%
33.199104 6
0.1%
33.205119 2
 
< 0.1%
33.2059 3
 
< 0.1%
33.205906 1
 
< 0.1%
33.206792 4
 
< 0.1%
33.207068 5
 
0.1%
33.208525 4
 
< 0.1%
33.208902 1
 
< 0.1%
33.209822 4
 
< 0.1%
ValueCountFrequency (%)
33.559583 9
0.1%
33.558634999999995 6
0.1%
33.557889 4
 
< 0.1%
33.557666 7
0.1%
33.55761 13
0.1%
33.557227000000005 11
0.1%
33.557167 14
0.1%
33.556926000000004 7
0.1%
33.556553 7
0.1%
33.556414000000004 7
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1528
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55701
Minimum126.16361
Maximum126.96873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:30:02.397848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16361
5-th percentile126.26211
Q1126.49255
median126.5543
Q3126.60844
95-th percentile126.90599
Maximum126.96873
Range0.805128
Interquartile range (IQR)0.115893

Descriptive statistics

Standard deviation0.16161201
Coefficient of variation (CV)0.0012769898
Kurtosis0.54547447
Mean126.55701
Median Absolute Deviation (MAD)0.0610245
Skewness0.27827639
Sum1265570.1
Variance0.026118443
MonotonicityNot monotonic
2023-12-12T04:30:02.537195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.628152 57
 
0.6%
126.559971 56
 
0.6%
126.56658600000002 50
 
0.5%
126.569025 43
 
0.4%
126.564107 42
 
0.4%
126.557365 42
 
0.4%
126.563879 40
 
0.4%
126.526056 40
 
0.4%
126.563767 37
 
0.4%
126.560763 36
 
0.4%
Other values (1518) 9557
95.6%
ValueCountFrequency (%)
126.163606 4
< 0.1%
126.163778 6
0.1%
126.164197 4
< 0.1%
126.165759 3
 
< 0.1%
126.166233 3
 
< 0.1%
126.166301 3
 
< 0.1%
126.166819 9
0.1%
126.167783 4
< 0.1%
126.168003 9
0.1%
126.171035 9
0.1%
ValueCountFrequency (%)
126.968734 11
0.1%
126.967512 7
0.1%
126.967145 10
0.1%
126.9658 4
 
< 0.1%
126.965055 2
 
< 0.1%
126.964697 8
0.1%
126.963074 4
 
< 0.1%
126.959746 4
 
< 0.1%
126.959703 2
 
< 0.1%
126.959575 2
 
< 0.1%

카테고리
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
버스정류소
2383 
관광지
1959 
전기차충전소
955 
공원
923 
올레코스
905 
Other values (14)
2875 

Length

Max length13
Median length10
Mean length4.0773
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정류소
2nd row공공기관
3rd row버스정류소
4th row전기차충전소
5th row정류소

Common Values

ValueCountFrequency (%)
버스정류소 2383
23.8%
관광지 1959
19.6%
전기차충전소 955
9.6%
공원 923
 
9.2%
올레코스 905
 
9.0%
테마거리 872
 
8.7%
해변 446
 
4.5%
전통시장 395
 
4.0%
정류소 241
 
2.4%
공공기관 232
 
2.3%
Other values (9) 689
 
6.9%

Length

2023-12-12T04:30:02.683342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
버스정류소 2383
23.7%
관광지 1959
19.4%
전기차충전소 955
9.5%
공원 923
 
9.2%
올레코스 905
 
9.0%
테마거리 872
 
8.7%
해변 446
 
4.4%
전통시장 395
 
3.9%
정류소 241
 
2.4%
공공기관 232
 
2.3%
Other values (10) 761
 
7.6%

서비스 사용시간
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5961
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173334.77
Minimum0
Maximum23587031
Zeros3935
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:30:02.808119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11990
Q3111659
95-th percentile913574.95
Maximum23587031
Range23587031
Interquartile range (IQR)111659

Descriptive statistics

Standard deviation518627.19
Coefficient of variation (CV)2.9920551
Kurtosis449.6668
Mean173334.77
Median Absolute Deviation (MAD)11990
Skewness13.477511
Sum1.7333477 × 109
Variance2.6897417 × 1011
MonotonicityNot monotonic
2023-12-12T04:30:02.937423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3935
39.4%
11990 3
 
< 0.1%
40 3
 
< 0.1%
3771 3
 
< 0.1%
5933 2
 
< 0.1%
3621 2
 
< 0.1%
619 2
 
< 0.1%
29111 2
 
< 0.1%
28743 2
 
< 0.1%
29008 2
 
< 0.1%
Other values (5951) 6044
60.4%
ValueCountFrequency (%)
0 3935
39.4%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
23587031 1
< 0.1%
7682141 1
< 0.1%
7642289 1
< 0.1%
6940060 1
< 0.1%
6661398 1
< 0.1%
6470664 1
< 0.1%
6380915 1
< 0.1%
6365326 1
< 0.1%
6173580 1
< 0.1%
6020607 1
< 0.1%

사용 횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1124
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.6367
Minimum0
Maximum13168
Zeros3935
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:30:03.067195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22
Q3177
95-th percentile810
Maximum13168
Range13168
Interquartile range (IQR)177

Descriptive statistics

Standard deviation391.70339
Coefficient of variation (CV)2.350643
Kurtosis193.84842
Mean166.6367
Median Absolute Deviation (MAD)22
Skewness9.4770712
Sum1666367
Variance153431.54
MonotonicityNot monotonic
2023-12-12T04:30:03.216530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3935
39.4%
1 71
 
0.7%
2 69
 
0.7%
3 58
 
0.6%
4 57
 
0.6%
19 56
 
0.6%
7 55
 
0.5%
9 54
 
0.5%
5 54
 
0.5%
14 51
 
0.5%
Other values (1114) 5540
55.4%
ValueCountFrequency (%)
0 3935
39.4%
1 71
 
0.7%
2 69
 
0.7%
3 58
 
0.6%
4 57
 
0.6%
5 54
 
0.5%
6 47
 
0.5%
7 55
 
0.5%
8 50
 
0.5%
9 54
 
0.5%
ValueCountFrequency (%)
13168 1
< 0.1%
8259 1
< 0.1%
7828 1
< 0.1%
7177 1
< 0.1%
6575 1
< 0.1%
5501 1
< 0.1%
5471 1
< 0.1%
4640 1
< 0.1%
4581 1
< 0.1%
4564 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
2023-12-12T04:30:03.332845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:30:03.416450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T04:29:59.678432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:58.239164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:58.724062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.238775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.781552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:58.366635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:58.850013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.335733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.887488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:58.487122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.010239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.456880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.982347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:58.620207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.112294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:59.554671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:30:03.483543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자시도명읍면동명위도경도카테고리서비스 사용시간사용 횟수
일자1.0000.0420.0000.0000.0000.0000.0000.036
시도명0.0421.0001.0000.9780.2610.3110.0710.029
읍면동명0.0001.0001.0000.9130.9590.7840.2590.199
위도0.0000.9780.9131.0000.7780.5630.1310.059
경도0.0000.2610.9590.7781.0000.5180.0860.048
카테고리0.0000.3110.7840.5630.5181.0000.1030.117
서비스 사용시간0.0000.0710.2590.1310.0860.1031.0000.751
사용 횟수0.0360.0290.1990.0590.0480.1170.7511.000
2023-12-12T04:30:03.600444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리시도명읍면동명
카테고리1.0000.2760.310
시도명0.2761.0000.998
읍면동명0.3100.9981.000
2023-12-12T04:30:03.701269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도서비스 사용시간사용 횟수시도명읍면동명카테고리
위도1.0000.1000.1630.0680.8700.6120.249
경도0.1001.000-0.128-0.0940.2000.7500.222
서비스 사용시간0.163-0.1281.0000.9620.0870.1220.051
사용 횟수0.068-0.0940.9621.0000.0220.0720.049
시도명0.8700.2000.0870.0221.0000.9980.276
읍면동명0.6120.7500.1220.0720.9981.0000.310
카테고리0.2490.2220.0510.0490.2760.3101.000

Missing values

2023-12-12T04:30:00.122958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:30:00.278133image/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
225162020-01-09제주시아라동7fd8ecb0046eea08a5d495df22e383576138ff38e4ac8adf1de6a8d1d1f619b12018-03-2933.476144126.544715정류소002020-12-15
121632020-01-05제주시연동011619b952849dd1cdaeb72deecd206124982b60b561fbe35ef814533cf018282020-03-2533.489284126.497651공공기관002020-12-15
29102020-01-02제주시화북동728eb2f9ec84c4911672302717672883462e0e664c265f25e78e7fa446eee45a2018-04-0433.51255126.551023버스정류소002020-12-15
229192020-01-09서귀포시대정읍a794a6b5fbf2cd615ce7b78c93102ddd2dae7695e297dd34fb153b8cce44dadf2020-03-3133.25761126.228981전기차충전소002020-12-15
171472020-01-07제주시일도2동73b870039011e95217ecad316794693e0b9a64092f4c713d8be8f79fc265b89e2018-05-1633.504257126.541522정류소2025281042020-12-15
378292020-01-14제주시조천읍163b144e78a53df85f14ffb52547562aea36ed22577437b11f7dc3ea1b5726da2019-07-2033.540296126.674853공원002020-12-15
25922020-01-01서귀포시동홍동117da339cfcc346590d904e0504e30b290920af672aba43f474b4200dd543dd42019-06-2333.25491126.573765버스정류소002020-12-15
117772020-01-05제주시화북동5bfb2a9187d3288754668f26c21aad60d00a358b4982b4d1ffe066ceb33f9acb2017-12-1033.519209126.56517버스정류장 (10만이상)76755922020-12-15
504452020-01-19제주시용담2동7d242ebb87ac326f2f7c5e3a1d4dba62a53f242e8a8e1919bb49619ca8ec58a02018-05-1533.518228126.499353공원116261572020-12-15
318432020-01-12서귀포시예래동48ebd07a626873901d512ea470d887d82a939fd6cbd548cadc71caceb40b334d2017-08-1433.277556126.395368관광지44071962020-12-15
일자시도명읍면동명맥주소개통일위도경도카테고리서비스 사용시간사용 횟수데이터기준일자
303592020-01-12제주시연동326da3479ec7e58163da603e806de44c14f19c3764b347545dcd074f43a8c9aa2019-07-1733.491432126.489119버스정류소002020-12-15
156722020-01-06제주시삼양동8934a70307e71e9bdb7bfdc15b39f5642d56f8ff09502a870c30bb9b26719ed12019-08-2333.526807126.576527올레코스002020-12-15
78612020-01-03서귀포시중앙동8feb9704aff2498d74b93af5b994b233a06cbc3355936b3789eb9602f42f1b872017-09-2433.248697126.564107전통시장002020-12-15
474232020-01-18서귀포시성산읍6d02b619df86fd65b345b8789ec93fe5e762ae3e26ef5edc43aa73de16a1a2442017-10-2733.381224126.842317전기차충전소23482372020-12-15
49362020-01-02제주시조천읍67f5ac5e0c94802514604df96ba71068bf1871933a747c8850b83b51f6cfef552018-04-1333.543225126.661686버스정류소4266092652020-12-15
335232020-01-13서귀포시천지동e9eb7f56c1f0756cd8283861266afd0591a8ab23a2ae03da667b3eb00f4a77222017-09-2433.249763126.56312전통시장3695696332020-12-15
574272020-01-22서귀포시대륜동82797aac428b8edae0ed397295e4727750551e7b9e7da9fac05991731bff6b532018-04-1833.300807126.51879숲길273232020-12-15
269412020-01-10제주시건입동99c897e3cf81d25b29a8100d398c5f0e28564e9ae72f8bf5a1d0faa2fec2c8512019-06-1733.516659126.532184관광지3745861962020-12-15
349152020-01-13제주시한경면18f89cf0e7b14dce2af78c1fe364aec8ba6c320daa3424ec9cbbd6521ced36352017-08-3033.333917126.256111올레코스2200641292020-12-15
587322020-01-22제주시구좌읍0a157487c637acf7205c4f1c5219a70ab6eda15b8248e813a38db29535f459d22017-08-1633.491444126.810361관광지45186522020-12-15