Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory986.3 KiB
Average record size in memory101.0 B

Variable types

DateTime2
Categorical2
Text2
Numeric5

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
위도 is highly overall correlated with 시도명High correlation
서비스 사용시간 is highly overall correlated with 사용 횟수High correlation
사용 횟수 is highly overall correlated with 서비스 사용시간High correlation
시도명 is highly overall correlated with 위도High correlation
개통일 is highly skewed (γ1 = -28.60510717)Skewed
서비스 사용시간 has 3723 (37.2%) zerosZeros
사용 횟수 has 3723 (37.2%) zerosZeros

Reproduction

Analysis started2023-12-11 19:29:17.632120
Analysis finished2023-12-11 19:29:22.939208
Duration5.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2021-01-23 00:00:00
2023-12-12T04:29:23.021111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:23.188297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

시도명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제주시
5346 
서귀포시
4654 

Length

Max length4
Median length3
Mean length3.4654
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 5346
53.5%
서귀포시 4654
46.5%

Length

2023-12-12T04:29:23.376743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:29:23.558198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 5346
53.5%
서귀포시 4654
46.5%

읍면동명
Text

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T04:29:23.872907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.1011
Min length2

Characters and Unicode

Total characters31011
Distinct characters76
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row아라동
2nd row남원읍
3rd row아라동
4th row애월읍
5th row남원읍
ValueCountFrequency (%)
성산읍 530
 
5.3%
송산동 530
 
5.3%
천지동 521
 
5.2%
조천읍 458
 
4.6%
구좌읍 404
 
4.0%
남원읍 350
 
3.5%
애월읍 336
 
3.4%
연동 334
 
3.3%
봉개동 333
 
3.3%
노형동 317
 
3.2%
Other values (42) 5887
58.9%
2023-12-12T04:29:24.311514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 6500
21.0%
읍 2637
 
8.5%
도 1447
 
4.7%
천 1226
 
4.0%
산 1060
 
3.4%
면 1050
 
3.4%
2 776
 
2.5%
대 596
 
1.9%
이 587
 
1.9%
정 584
 
1.9%
Other values (66) 14548
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29681
95.7%
Decimal Number 1327
 
4.3%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6500
21.9%
읍 2637
 
8.9%
도 1447
 
4.9%
천 1226
 
4.1%
산 1060
 
3.6%
면 1050
 
3.5%
대 596
 
2.0%
이 587
 
2.0%
정 584
 
2.0%
한 540
 
1.8%
Other values (60) 13454
45.3%
Decimal Number
ValueCountFrequency (%)
2 776
58.5%
1 531
40.0%
4 8
 
0.6%
3 6
 
0.5%
5 6
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29681
95.7%
Common 1330
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6500
21.9%
읍 2637
 
8.9%
도 1447
 
4.9%
천 1226
 
4.1%
산 1060
 
3.6%
면 1050
 
3.5%
대 596
 
2.0%
이 587
 
2.0%
정 584
 
2.0%
한 540
 
1.8%
Other values (60) 13454
45.3%
Common
ValueCountFrequency (%)
2 776
58.3%
1 531
39.9%
4 8
 
0.6%
3 6
 
0.5%
5 6
 
0.5%
/ 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29681
95.7%
ASCII 1330
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 6500
21.9%
읍 2637
 
8.9%
도 1447
 
4.9%
천 1226
 
4.1%
산 1060
 
3.6%
면 1050
 
3.5%
대 596
 
2.0%
이 587
 
2.0%
정 584
 
2.0%
한 540
 
1.8%
Other values (60) 13454
45.3%
ASCII
ValueCountFrequency (%)
2 776
58.3%
1 531
39.9%
4 8
 
0.6%
3 6
 
0.5%
5 6
 
0.5%
/ 3
 
0.2%

맥주소
Text

Distinct2380
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T04:29:24.593554image/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

Unique223 ?
Unique (%)2.2%

Sample

1st row26ddd7ec1ddeac9f9cd95d0fec5384d492bb7ca5763a4081ac0b7e22baa1c623
2nd row63e1f8cc9289a8d3110e6ed49b23ef7dc595a79e1a5e4d31a9877d3deb3848be
3rd row34788d238e293939d4a8e69da3d4ac5d4d4f055a89d1e48cf7d2ee5e4d01e359
4th row75eecd603b991ec822b55ffd5678b097ba629a245ba55fa07a7bbb4ecedc253e
5th rowdb2b4874181a0164fa5c8b8c067b303614e3335528e1ff8facecc4c7f23fcc05
ValueCountFrequency (%)
7fcd471de827691e57a434948ea8b696af80afbf51bacb3b9f0cd2de09324101 25
 
0.2%
c8dcc32977e4e6b10ca85864365b4119d2035e6b0ac7c3ea0099553c0e0226c9 22
 
0.2%
2a728396bedf05da929850c2735414c2f1af7438034821bb1d2cdae14c876dca 21
 
0.2%
1a413f41f6df4f24fefd1f563fb21e33f96f4dca0d1be3c6d444be1a3b356ed2 21
 
0.2%
18c297917620bd124b10406370818a0baba5bff05288515c09528f0956ea935b 21
 
0.2%
854cbd2dcbc9cff748c0ad923241c1ef1154b97ccc0cc400ccf8b87f8a6f4788 20
 
0.2%
507737113ef1d78329ba8ec376c3187d44218e7da06c457db9e17efe4d104ed1 20
 
0.2%
f4d46b85de3205cf8ae81676348d25ed2cb23995abb25afb775641e33f619e01 20
 
0.2%
4829c048c549d796371745a7152f28182311a0ef15a28244f387b66f3f1e2079 19
 
0.2%
83dc393e25cbc6ee683b536df45837199df86264ad701832bd5a00631ae8471c 18
 
0.2%
Other values (2370) 9793
97.9%
2023-12-12T04:29:24.965646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 40858
 
6.4%
f 40637
 
6.3%
7 40620
 
6.3%
6 40450
 
6.3%
4 40387
 
6.3%
a 40137
 
6.3%
0 40136
 
6.3%
e 40027
 
6.3%
5 39997
 
6.2%
d 39726
 
6.2%
Other values (6) 237025
37.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400297
62.5%
Lowercase Letter 239703
37.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 40858
10.2%
7 40620
10.1%
6 40450
10.1%
4 40387
10.1%
0 40136
10.0%
5 39997
10.0%
9 39603
9.9%
1 39498
9.9%
2 39427
9.8%
8 39321
9.8%
Lowercase Letter
ValueCountFrequency (%)
f 40637
17.0%
a 40137
16.7%
e 40027
16.7%
d 39726
16.6%
b 39699
16.6%
c 39477
16.5%

Most occurring scripts

ValueCountFrequency (%)
Common 400297
62.5%
Latin 239703
37.5%

Most frequent character per script

Common
ValueCountFrequency (%)
3 40858
10.2%
7 40620
10.1%
6 40450
10.1%
4 40387
10.1%
0 40136
10.0%
5 39997
10.0%
9 39603
9.9%
1 39498
9.9%
2 39427
9.8%
8 39321
9.8%
Latin
ValueCountFrequency (%)
f 40637
17.0%
a 40137
16.7%
e 40027
16.7%
d 39726
16.6%
b 39699
16.6%
c 39477
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 40858
 
6.4%
f 40637
 
6.3%
7 40620
 
6.3%
6 40450
 
6.3%
4 40387
 
6.3%
a 40137
 
6.3%
0 40136
 
6.3%
e 40027
 
6.3%
5 39997
 
6.2%
d 39726
 
6.2%
Other values (6) 237025
37.0%

개통일
Real number (ℝ)

SKEWED 

Distinct242
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20180368
Minimum18991230
Maximum20200427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:25.109251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18991230
5-th percentile20170814
Q120170911
median20180427
Q320190917
95-th percentile20200403
Maximum20200427
Range1209197
Interquartile range (IQR)20006

Descriptive statistics

Standard deviation38881.627
Coefficient of variation (CV)0.0019267056
Kurtosis872.50399
Mean20180368
Median Absolute Deviation (MAD)9604
Skewness-28.605107
Sum2.0180368 × 1011
Variance1.511781 × 109
MonotonicityNot monotonic
2023-12-12T04:29:25.253314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170831 603
 
6.0%
20170830 449
 
4.5%
20191020 383
 
3.8%
20170814 337
 
3.4%
20190610 284
 
2.8%
20171027 217
 
2.2%
20170924 214
 
2.1%
20180427 185
 
1.8%
20191119 135
 
1.4%
20180418 133
 
1.3%
Other values (232) 7060
70.6%
ValueCountFrequency (%)
18991230 10
 
0.1%
20170719 13
 
0.1%
20170720 18
 
0.2%
20170721 26
0.3%
20170722 9
 
0.1%
20170725 12
 
0.1%
20170726 15
 
0.1%
20170727 57
0.6%
20170728 25
0.2%
20170731 5
 
0.1%
ValueCountFrequency (%)
20200427 22
0.2%
20200424 22
0.2%
20200423 6
 
0.1%
20200421 23
0.2%
20200420 49
0.5%
20200418 10
 
0.1%
20200417 39
0.4%
20200416 47
0.5%
20200413 52
0.5%
20200410 20
 
0.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1576
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.38823
Minimum33.166454
Maximum33.559583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:25.376329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.166454
5-th percentile33.240742
Q133.253632
median33.430222
Q333.496505
95-th percentile33.526917
Maximum33.559583
Range0.393129
Interquartile range (IQR)0.24287275

Descriptive statistics

Standard deviation0.11471276
Coefficient of variation (CV)0.0034357245
Kurtosis-1.6723258
Mean33.38823
Median Absolute Deviation (MAD)0.087695
Skewness-0.16665942
Sum333882.3
Variance0.013159017
MonotonicityNot monotonic
2023-12-12T04:29:25.508400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.437048 106
 
1.1%
33.511806 81
 
0.8%
33.2495 44
 
0.4%
33.243868 44
 
0.4%
33.248697 43
 
0.4%
33.245962 43
 
0.4%
33.439639 42
 
0.4%
33.246184 41
 
0.4%
33.247744 40
 
0.4%
33.241969 40
 
0.4%
Other values (1566) 9476
94.8%
ValueCountFrequency (%)
33.16645399999999 10
0.1%
33.199104 7
0.1%
33.205119 7
0.1%
33.20523499999999 1
 
< 0.1%
33.205825 9
0.1%
33.2059 4
 
< 0.1%
33.205906 5
0.1%
33.206792 3
 
< 0.1%
33.207068 3
 
< 0.1%
33.208525 4
 
< 0.1%
ValueCountFrequency (%)
33.559583 4
 
< 0.1%
33.558634999999995 12
0.1%
33.557889 10
0.1%
33.557666 8
0.1%
33.55761 11
0.1%
33.557227000000005 5
0.1%
33.557167 11
0.1%
33.556553 11
0.1%
33.556414000000004 3
 
< 0.1%
33.55609129999999 10
0.1%

경도
Real number (ℝ)

Distinct1590
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55512
Minimum126.16258
Maximum126.96873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:25.624705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16258
5-th percentile126.25904
Q1126.48885
median126.55333
Q3126.60909
95-th percentile126.90833
Maximum126.96873
Range0.8061556
Interquartile range (IQR)0.120237

Descriptive statistics

Standard deviation0.16478836
Coefficient of variation (CV)0.0013021074
Kurtosis0.41536573
Mean126.55512
Median Absolute Deviation (MAD)0.064075
Skewness0.26281499
Sum1265551.2
Variance0.027155204
MonotonicityNot monotonic
2023-12-12T04:29:25.743693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.628152 106
 
1.1%
126.526056 81
 
0.8%
126.56658600000002 44
 
0.4%
126.569025 44
 
0.4%
126.563879 43
 
0.4%
126.564107 43
 
0.4%
126.628444 42
 
0.4%
126.557365 41
 
0.4%
126.5603 40
 
0.4%
126.563098 40
 
0.4%
Other values (1580) 9476
94.8%
ValueCountFrequency (%)
126.1625784 4
< 0.1%
126.163606 4
< 0.1%
126.163778 3
< 0.1%
126.164197 2
 
< 0.1%
126.165759 6
0.1%
126.166139 4
< 0.1%
126.166233 3
< 0.1%
126.166301 1
 
< 0.1%
126.167783 4
< 0.1%
126.168003 7
0.1%
ValueCountFrequency (%)
126.968734 12
0.1%
126.967512 8
0.1%
126.967145 6
0.1%
126.9658 5
0.1%
126.965055 2
 
< 0.1%
126.964697 6
0.1%
126.963074 2
 
< 0.1%
126.959746 10
0.1%
126.959703 2
 
< 0.1%
126.959575 4
 
< 0.1%

카테고리
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공영관광지
1168 
정류소
1019 
전기차충전소
894 
공원
885 
올레코스
870 
Other values (23)
5164 

Length

Max length13
Median length10
Mean length4.2471
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row버스정류소
2nd row해변
3rd row버스정류소
4th row올레코스
5th row공공 기관

Common Values

ValueCountFrequency (%)
공영관광지 1168
11.7%
정류소 1019
10.2%
전기차충전소 894
8.9%
공원 885
8.8%
올레코스 870
8.7%
버스정류소 861
8.6%
테마거리 804
8.0%
관광지 737
7.4%
사설관광지 480
 
4.8%
해변 477
 
4.8%
Other values (18) 1805
18.1%

Length

2023-12-12T04:29:25.865758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공영관광지 1168
11.4%
정류소 1019
10.0%
전기차충전소 894
8.7%
공원 885
8.7%
올레코스 870
8.5%
버스정류소 861
8.4%
테마거리 804
7.9%
관광지 737
 
7.2%
버스정류장 602
 
5.9%
사설관광지 480
 
4.7%
Other values (19) 1903
18.6%

서비스 사용시간
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5961
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean437896.73
Minimum0
Maximum18990557
Zeros3723
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:25.977459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3718.5
Q358516
95-th percentile3000853.7
Maximum18990557
Range18990557
Interquartile range (IQR)58516

Descriptive statistics

Standard deviation1434295.2
Coefficient of variation (CV)3.2754188
Kurtosis32.034306
Mean437896.73
Median Absolute Deviation (MAD)3718.5
Skewness5.059789
Sum4.3789673 × 109
Variance2.0572026 × 1012
MonotonicityNot monotonic
2023-12-12T04:29:26.098505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3723
37.2%
131 4
 
< 0.1%
1300 4
 
< 0.1%
623 4
 
< 0.1%
1552 4
 
< 0.1%
86399 4
 
< 0.1%
600 4
 
< 0.1%
43 4
 
< 0.1%
610 4
 
< 0.1%
553 3
 
< 0.1%
Other values (5951) 6242
62.4%
ValueCountFrequency (%)
0 3723
37.2%
1 3
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
18990557 1
< 0.1%
18061846 1
< 0.1%
16531650 1
< 0.1%
16504428 1
< 0.1%
15943648 1
< 0.1%
14946812 1
< 0.1%
14666443 1
< 0.1%
14241108 1
< 0.1%
14111032 1
< 0.1%
14006716 1
< 0.1%

사용 횟수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct429
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.9117
Minimum0
Maximum3222
Zeros3723
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T04:29:26.228178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q348
95-th percentile188
Maximum3222
Range3222
Interquartile range (IQR)48

Descriptive statistics

Standard deviation98.898413
Coefficient of variation (CV)2.3046958
Kurtosis186.38007
Mean42.9117
Median Absolute Deviation (MAD)9
Skewness9.6985923
Sum429117
Variance9780.8962
MonotonicityNot monotonic
2023-12-12T04:29:26.353338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3723
37.2%
1 221
 
2.2%
2 190
 
1.9%
3 176
 
1.8%
5 150
 
1.5%
4 141
 
1.4%
7 127
 
1.3%
6 120
 
1.2%
8 120
 
1.2%
10 120
 
1.2%
Other values (419) 4912
49.1%
ValueCountFrequency (%)
0 3723
37.2%
1 221
 
2.2%
2 190
 
1.9%
3 176
 
1.8%
4 141
 
1.4%
5 150
 
1.5%
6 120
 
1.2%
7 127
 
1.3%
8 120
 
1.2%
9 117
 
1.2%
ValueCountFrequency (%)
3222 1
< 0.1%
1889 1
< 0.1%
1823 1
< 0.1%
1714 1
< 0.1%
1665 1
< 0.1%
1639 1
< 0.1%
1612 1
< 0.1%
1532 1
< 0.1%
1494 1
< 0.1%
1473 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-07-27 00:00:00
Maximum2021-07-27 00:00:00
2023-12-12T04:29:26.441488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:26.516434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T04:29:21.549124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:18.936338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.516058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:20.161940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:20.819121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:21.684147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.047773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.684431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:20.260798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:21.001065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:22.118548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.166394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.813870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:20.371599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:21.177973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:22.322815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.285104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.928296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:20.499337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:21.319173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:22.462226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:19.396290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:20.043906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:20.622153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:29:21.439821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:29:26.587133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자시도명읍면동명개통일위도경도카테고리서비스 사용시간사용 횟수
일자1.0000.0350.000NaN0.0230.0000.0000.0450.039
시도명0.0351.0001.000NaN0.9760.2860.3810.3330.052
읍면동명0.0001.0001.000NaN0.9110.9590.8180.4470.147
개통일NaNNaNNaN1.000NaNNaNNaNNaNNaN
위도0.0230.9760.911NaN1.0000.7710.5860.3210.055
경도0.0000.2860.959NaN0.7711.0000.6030.2000.062
카테고리0.0000.3810.818NaN0.5860.6031.0000.3400.121
서비스 사용시간0.0450.3330.447NaN0.3210.2000.3401.0000.581
사용 횟수0.0390.0520.147NaN0.0550.0620.1210.5811.000
2023-12-12T04:29:26.690156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리시도명
카테고리1.0000.302
시도명0.3021.000
2023-12-12T04:29:26.764318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개통일위도경도서비스 사용시간사용 횟수시도명카테고리
개통일1.000-0.1000.028-0.0360.0840.0290.131
위도-0.1001.0000.1190.3080.1940.8660.252
경도0.0280.1191.000-0.152-0.1110.2190.263
서비스 사용시간-0.0360.308-0.1521.0000.8980.2550.129
사용 횟수0.0840.194-0.1110.8981.0000.0550.046
시도명0.0290.8660.2190.2550.0551.0000.302
카테고리0.1310.2520.2630.1290.0460.3021.000

Missing values

2023-12-12T04:29:22.666569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:29:22.850710image/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
429382021-01-16제주시아라동26ddd7ec1ddeac9f9cd95d0fec5384d492bb7ca5763a4081ac0b7e22baa1c6232017120733.468849126.547107버스정류소3008526602021-07-27
550392021-01-20서귀포시남원읍63e1f8cc9289a8d3110e6ed49b23ef7dc595a79e1a5e4d31a9877d3deb3848be2020032433.258846126.63949해변466182021-07-27
583832021-01-21제주시아라동34788d238e293939d4a8e69da3d4ac5d4d4f055a89d1e48cf7d2ee5e4d01e3592018033033.47624126.5438버스정류소24780351212021-07-27
336842021-01-12제주시애월읍75eecd603b991ec822b55ffd5678b097ba629a245ba55fa07a7bbb4ecedc253e2017081033.478167126.369111올레코스21411272021-07-27
100342021-01-04서귀포시남원읍db2b4874181a0164fa5c8b8c067b303614e3335528e1ff8facecc4c7f23fcc052017120833.275352126.703718공공 기관53972202021-07-27
159352021-01-06제주시구좌읍075bd194fe75396771d352b25a635c1a2b3e3af0c6a800cfd60ac7bda1eb48242017083133.43525126.738778버스환승정류소17354322021-07-27
95732021-01-04서귀포시동홍동1e442936b712f5ca322414d8a876b10b81286c9de459d0406bb6303d44736ae52020040833.251094126.57292버스정류소002021-07-27
621092021-01-22제주시봉개동9d7f3021acd5062f864c805c7ceec4c962b1c3e015909ce145751b2bef8be19e2018050833.437048126.628152공영관광지43559592021-07-27
49792021-01-02제주시봉개동a1d476909011b0210a74ea091f8c6f8758fd962cc549ac7df07e46a6ca655fe52017082533.431222126.595722공영관광지002021-07-27
505632021-01-18서귀포시동홍동433cca037cd9c90f07f57ec1a86e248a1f7caf0b530e7771338dd834a4016dec2018041233.251886126.57444정류소002021-07-27
일자시도명읍면동명맥주소개통일위도경도카테고리서비스 사용시간사용 횟수데이터기준일자
76042021-01-03제주시연동8ab1843576bff4296326e9c76cc1997fb431fab97dd3c004aa880f6cbce7e8112017071933.452278126.489사설관광지633550102021-07-27
426762021-01-15제주시용담2동e0dd276c47a9c8028a6d32ed9264e2ae57f76cd3d79c7f3b9416729afcca27c62018040333.507269126.509448정류소2544945592021-07-27
412192021-01-15서귀포시남원읍faf2ab78f09e84b19dac16800cc29364eb3a003433468d6f5c200da28d1d995b2019080533.285236126.749603올레코스168552021-07-27
574032021-01-21서귀포시송산동42ecef9f3136948c6fed472e9cbf91dfcc48a9f363ddb102aaa1dea87cbfc6772019102033.249836126.559971테마거리002021-07-27
181682021-01-07제주시조천읍01d34362e58a96225c2a6c818a06461a8fa3d2331b157f9f1fe25ac6bbce83592020041333.516383126.705278전기차충전소002021-07-27
454692021-01-16서귀포시천지동b6f1fa09edd627bf2c2c8faf1bdaa4da035880e1a577c63704239086fa5b9d4e2018041833.251485126.554335공원5968172021-07-27
474602021-01-17제주시한림읍aaab0abc1989bb96c8e571f5f4eb439fe13aaab01281cddf67132d44d70a537f2017090533.355806126.241972사설관광지002021-07-27
346682021-01-13제주시구좌읍14f1b3453db1c1db6776bf21c139dc88ba50f3b26f8c549f5aa41ad40eea3c182019072333.493136126.810555버스정류장7654162021-07-27
286472021-01-11서귀포시성산읍6c698c18bb60c66fb649f7637a6c89a21e85d907b0ede389c6c50751f058158a2019082633.415868126.902844올레코스002021-07-27
407942021-01-15제주시구좌읍66b5fab468974f899de37850be52ba049d230644e04465a7ba6fd8858d6096b22019112933.474831126.826903테마거리2309122021-07-27