Overview

Dataset statistics

Number of variables4
Number of observations120
Missing cells5
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory35.1 B

Variable types

Text2
Numeric2

Dataset

Description- 도내 무장애 여행지 위치 정보를 제공합니다. - 기준일: 2021.09.30 - 데이터 제공처: 제주특별자치도
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/858

Alerts

주소 has 5 (4.2%) missing valuesMissing
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 19:58:04.386514
Analysis finished2023-12-11 19:58:05.558013
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장소명
Text

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T04:58:05.825745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.95
Min length3

Characters and Unicode

Total characters834
Distinct characters252
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)98.3%

Sample

1st row한림공원
2nd row협재해수욕장
3rd row해비치올레길
4th row해녀박물관
5th row해거름공원바다산책로
ValueCountFrequency (%)
한림공원 2
 
1.6%
민속자연사박물관 1
 
0.8%
박물관은 1
 
0.8%
별빛누리공원 1
 
0.8%
법환포구 1
 
0.8%
보름왓 1
 
0.8%
보목포로(볼레낭개길 1
 
0.8%
북촌마을해안길 1
 
0.8%
붉은오름자연휴양림 1
 
0.8%
비양도 1
 
0.8%
Other values (112) 112
91.1%
2023-12-12T04:58:06.436396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 27
 
3.2%
길 22
 
2.6%
공 20
 
2.4%
리 20
 
2.4%
관 19
 
2.3%
물 19
 
2.3%
해 18
 
2.2%
주 14
 
1.7%
포 13
 
1.6%
제 13
 
1.6%
Other values (242) 649
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
96.0%
Decimal Number 12
 
1.4%
Dash Punctuation 5
 
0.6%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%
Space Separator 4
 
0.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 27
 
3.4%
길 22
 
2.7%
공 20
 
2.5%
리 20
 
2.5%
관 19
 
2.4%
물 19
 
2.4%
해 18
 
2.2%
주 14
 
1.7%
포 13
 
1.6%
제 13
 
1.6%
Other values (231) 616
76.9%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
0 3
25.0%
4 2
16.7%
3 2
16.7%
2 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
96.0%
Common 33
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 27
 
3.4%
길 22
 
2.7%
공 20
 
2.5%
리 20
 
2.5%
관 19
 
2.4%
물 19
 
2.4%
해 18
 
2.2%
주 14
 
1.7%
포 13
 
1.6%
제 13
 
1.6%
Other values (231) 616
76.9%
Common
ValueCountFrequency (%)
- 5
15.2%
) 5
15.2%
( 5
15.2%
4
12.1%
1 4
12.1%
0 3
9.1%
4 2
 
6.1%
3 2
 
6.1%
& 1
 
3.0%
. 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
96.0%
ASCII 33
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 27
 
3.4%
길 22
 
2.7%
공 20
 
2.5%
리 20
 
2.5%
관 19
 
2.4%
물 19
 
2.4%
해 18
 
2.2%
주 14
 
1.7%
포 13
 
1.6%
제 13
 
1.6%
Other values (231) 616
76.9%
ASCII
ValueCountFrequency (%)
- 5
15.2%
) 5
15.2%
( 5
15.2%
4
12.1%
1 4
12.1%
0 3
9.1%
4 2
 
6.1%
3 2
 
6.1%
& 1
 
3.0%
. 1
 
3.0%

주소
Text

MISSING 

Distinct112
Distinct (%)97.4%
Missing5
Missing (%)4.2%
Memory size1.1 KiB
2023-12-12T04:58:06.981089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length24.347826
Min length18

Characters and Unicode

Total characters2800
Distinct characters112
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

Unique109 ?
Unique (%)94.8%

Sample

1st row제주특별자치도 제주시 한림읍 협재리 2610
2nd row제주특별자치도 제주시 한림읍 협재리 2447
3rd row제주특별자치도 서귀포시 표선면 세화리 288-2
4th row제주특별자치도 제주시 구좌읍 상도리 471-35
5th row제주특별자치도 제주시 한경면 판포리 1610-1
ValueCountFrequency (%)
제주특별자치도 115
20.9%
제주시 61
 
11.1%
서귀포시 54
 
9.8%
산 14
 
2.5%
조천읍 11
 
2.0%
한경면 10
 
1.8%
성산읍 9
 
1.6%
한림읍 9
 
1.6%
표선면 8
 
1.5%
구좌읍 8
 
1.5%
Other values (185) 252
45.7%
2023-12-12T04:58:07.686311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
436
 
15.6%
제 176
 
6.3%
주 176
 
6.3%
도 120
 
4.3%
시 119
 
4.2%
별 115
 
4.1%
치 115
 
4.1%
특 115
 
4.1%
자 115
 
4.1%
1 112
 
4.0%
Other values (102) 1201
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1798
64.2%
Decimal Number 485
 
17.3%
Space Separator 436
 
15.6%
Dash Punctuation 81
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 176
 
9.8%
주 176
 
9.8%
도 120
 
6.7%
시 119
 
6.6%
별 115
 
6.4%
치 115
 
6.4%
특 115
 
6.4%
자 115
 
6.4%
리 78
 
4.3%
서 64
 
3.6%
Other values (90) 605
33.6%
Decimal Number
ValueCountFrequency (%)
1 112
23.1%
2 64
13.2%
3 47
9.7%
7 47
9.7%
4 44
 
9.1%
6 43
 
8.9%
5 38
 
7.8%
0 34
 
7.0%
8 30
 
6.2%
9 26
 
5.4%
Space Separator
ValueCountFrequency (%)
436
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1798
64.2%
Common 1002
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 176
 
9.8%
주 176
 
9.8%
도 120
 
6.7%
시 119
 
6.6%
별 115
 
6.4%
치 115
 
6.4%
특 115
 
6.4%
자 115
 
6.4%
리 78
 
4.3%
서 64
 
3.6%
Other values (90) 605
33.6%
Common
ValueCountFrequency (%)
436
43.5%
1 112
 
11.2%
- 81
 
8.1%
2 64
 
6.4%
3 47
 
4.7%
7 47
 
4.7%
4 44
 
4.4%
6 43
 
4.3%
5 38
 
3.8%
0 34
 
3.4%
Other values (2) 56
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1798
64.2%
ASCII 1002
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
436
43.5%
1 112
 
11.2%
- 81
 
8.1%
2 64
 
6.4%
3 47
 
4.7%
7 47
 
4.7%
4 44
 
4.4%
6 43
 
4.3%
5 38
 
3.8%
0 34
 
3.4%
Other values (2) 56
 
5.6%
Hangul
ValueCountFrequency (%)
제 176
 
9.8%
주 176
 
9.8%
도 120
 
6.7%
시 119
 
6.6%
별 115
 
6.4%
치 115
 
6.4%
특 115
 
6.4%
자 115
 
6.4%
리 78
 
4.3%
서 64
 
3.6%
Other values (90) 605
33.6%

위도
Real number (ℝ)

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.378885
Minimum33.174438
Maximum33.558546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T04:58:07.903644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.174438
5-th percentile33.237119
Q133.281699
median33.387213
Q333.467218
95-th percentile33.539786
Maximum33.558546
Range0.38410801
Interquartile range (IQR)0.18551888

Descriptive statistics

Standard deviation0.10385943
Coefficient of variation (CV)0.0031115309
Kurtosis-1.2414721
Mean33.378885
Median Absolute Deviation (MAD)0.0857045
Skewness-0.0056865893
Sum4005.4662
Variance0.010786781
MonotonicityNot monotonic
2023-12-12T04:58:08.129730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.38883704 1
 
0.8%
33.45692298 1
 
0.8%
33.50612056 1
 
0.8%
33.25473371 1
 
0.8%
33.44466914 1
 
0.8%
33.23714303 1
 
0.8%
33.41327297 1
 
0.8%
33.23955098 1
 
0.8%
33.55121797 1
 
0.8%
33.40324804 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
33.17443801 1
0.8%
33.204364 1
0.8%
33.20508099 1
0.8%
33.20739213 1
0.8%
33.22789804 1
0.8%
33.23665797 1
0.8%
33.23714303 1
0.8%
33.2378145 1
0.8%
33.23899099 1
0.8%
33.23955098 1
0.8%
ValueCountFrequency (%)
33.55854602 1
0.8%
33.55121797 1
0.8%
33.55102703 1
0.8%
33.54593997 1
0.8%
33.54498561 1
0.8%
33.54018303 1
0.8%
33.53976502 1
0.8%
33.533174 1
0.8%
33.52615097 1
0.8%
33.52612599 1
0.8%

경도
Real number (ℝ)

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52495
Minimum126.16679
Maximum126.936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T04:58:08.329653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16679
5-th percentile126.20492
Q1126.31919
median126.52935
Q3126.69005
95-th percentile126.8649
Maximum126.936
Range0.7692076
Interquartile range (IQR)0.37085783

Descriptive statistics

Standard deviation0.21977808
Coefficient of variation (CV)0.0017370335
Kurtosis-1.0976131
Mean126.52495
Median Absolute Deviation (MAD)0.1792965
Skewness0.11714186
Sum15182.995
Variance0.048302405
MonotonicityNot monotonic
2023-12-12T04:58:08.598692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.240285 1
 
0.8%
126.713742 1
 
0.8%
126.5305394 1
 
0.8%
126.4094495 1
 
0.8%
126.5491299 1
 
0.8%
126.515571 1
 
0.8%
126.752297 1
 
0.8%
126.608048 1
 
0.8%
126.69361 1
 
0.8%
126.67843 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
126.166794 1
0.8%
126.167882 1
0.8%
126.168056 1
0.8%
126.170891 1
0.8%
126.1721081 1
0.8%
126.174194 1
0.8%
126.20654 1
0.8%
126.216411 1
0.8%
126.22581 1
0.8%
126.226657 1
0.8%
ValueCountFrequency (%)
126.9360016 1
0.8%
126.934236 1
0.8%
126.926415 1
0.8%
126.915225 1
0.8%
126.907641 1
0.8%
126.893673 1
0.8%
126.86339 1
0.8%
126.857053 1
0.8%
126.857052 1
0.8%
126.856833 1
0.8%

Interactions

2023-12-12T04:58:04.998721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:58:04.690401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:58:05.136891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:58:04.842038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:58:08.788445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.795
경도0.7951.000
2023-12-12T04:58:08.918859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.409
경도0.4091.000

Missing values

2023-12-12T04:58:05.348289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:58:05.502924image/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

장소명주소위도경도
0한림공원제주특별자치도 제주시 한림읍 협재리 261033.388837126.240285
1협재해수욕장제주특별자치도 제주시 한림읍 협재리 244733.393383126.239607
2해비치올레길제주특별자치도 서귀포시 표선면 세화리 288-233.306025126.806053
3해녀박물관제주특별자치도 제주시 구좌읍 상도리 471-3533.523429126.86339
4해거름공원바다산책로제주특별자치도 제주시 한경면 판포리 1610-133.36997126.20654
5항공우주박물관제주특별자치도 서귀포시 안덕면 서광리 산 39-133.304524126.300389
6함덕서우봉해변제주특별자치도 제주시 조천읍 함덕리 산 133.544986126.674682
7한림공원제주특별자치도 제주시 한림읍 협재리 2487-333.390182126.237964
8한라수목원제주특별자치도 제주시 연동 100233.469832126.492308
9한라생태숲제주특별자치도 제주시 용강동 산 14-133.431939126.5969
장소명주소위도경도
110그리스박물관제주특별자치도 제주시 한림읍 금악리 산 30-1233.348733126.357187
111구엄돌염전제주특별자치도 제주시 애월읍 구엄리 607-533.483996126.377102
112고성신앙해녀의길<NA>33.434257126.926415
113걸매예술마을제주특별자치도 서귀포시 서귀동 332-11633.248135126.555909
114걸매생태공원제주특별자치도 서귀포시 서홍동 477-133.250295126.555104
115건강과성박물관제주특별자치도 서귀포시 안덕면 감산리 140433.254887126.346203
116감수굴밭담길제주특별자치도 제주시 구좌읍 평대리 1994-1933.533174126.842109
117감귤박물관제주특별자치도 서귀포시 신효동 1200-633.270885126.607739
118가파도제주특별자치도 서귀포시 대정읍 가파리 27633.174438126.270584
1191100고지습지제주특별자치도 서귀포시 색달동 산 1-133.357626126.463032