Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory72.3 B

Variable types

Numeric2
Text1
Categorical3
Boolean1
DateTime1

Dataset

Description제주특별자치도에서 제공하는 무장애여행 관련 관광지별 "위도, 경도, 장소명칭, 장소상세정보, 무장애관광정보"입니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15075180/fileData.do

Alerts

데이터품질점검결과 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
무장애관광정보 is highly overall correlated with 추천코스여부High correlation
추천코스여부 is highly overall correlated with 무장애관광정보High correlation
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:30:58.083808
Analysis finished2023-12-12 14:30:58.989291
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.546875
Minimum33.545876
Maximum33.548188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:30:59.051640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.545876
5-th percentile33.54594
Q133.546206
median33.546306
Q333.547965
95-th percentile33.548084
Maximum33.548188
Range0.00231199
Interquartile range (IQR)0.00175903

Descriptive statistics

Standard deviation0.00091296517
Coefficient of variation (CV)2.7214611 × 10-5
Kurtosis-1.7911651
Mean33.546875
Median Absolute Deviation (MAD)0.000359
Skewness0.48948273
Sum704.48438
Variance8.3350541 × 10-7
MonotonicityNot monotonic
2023-12-12T23:30:59.169911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
33.54593997 1
 
4.8%
33.54594701 1
 
4.8%
33.548188 1
 
4.8%
33.54796504 1
 
4.8%
33.54795003 1
 
4.8%
33.54805104 1
 
4.8%
33.54808398 1
 
4.8%
33.54804098 1
 
4.8%
33.54801499 1
 
4.8%
33.54765197 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
33.54587601 1
4.8%
33.54593997 1
4.8%
33.54594701 1
4.8%
33.54616201 1
4.8%
33.54618397 1
4.8%
33.54620601 1
4.8%
33.54623501 1
4.8%
33.54624901 1
4.8%
33.54625303 1
4.8%
33.54627198 1
4.8%
ValueCountFrequency (%)
33.548188 1
4.8%
33.54808398 1
4.8%
33.54805104 1
4.8%
33.54804098 1
4.8%
33.54801499 1
4.8%
33.54796504 1
4.8%
33.54795003 1
4.8%
33.54765197 1
4.8%
33.54645596 1
4.8%
33.54634901 1
4.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.68766
Minimum126.68431
Maximum126.68972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:30:59.289361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68431
5-th percentile126.68474
Q1126.68547
median126.68887
Q3126.68933
95-th percentile126.68971
Maximum126.68972
Range0.005416
Interquartile range (IQR)0.003858

Descriptive statistics

Standard deviation0.0020627066
Coefficient of variation (CV)1.6281827 × 10-5
Kurtosis-1.6512945
Mean126.68766
Median Absolute Deviation (MAD)0.000755
Skewness-0.53394096
Sum2660.441
Variance4.2547586 × 10-6
MonotonicityNot monotonic
2023-12-12T23:30:59.419598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
126.688866 1
 
4.8%
126.68896 1
 
4.8%
126.684308 1
 
4.8%
126.684741 1
 
4.8%
126.68484 1
 
4.8%
126.684977 1
 
4.8%
126.68519 1
 
4.8%
126.685473 1
 
4.8%
126.685679 1
 
4.8%
126.686165 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
126.684308 1
4.8%
126.684741 1
4.8%
126.68484 1
4.8%
126.684977 1
4.8%
126.68519 1
4.8%
126.685473 1
4.8%
126.685679 1
4.8%
126.686165 1
4.8%
126.688111 1
4.8%
126.688806 1
4.8%
ValueCountFrequency (%)
126.689724 1
4.8%
126.689714 1
4.8%
126.689591 1
4.8%
126.68951 1
4.8%
126.689428 1
4.8%
126.689331 1
4.8%
126.689208 1
4.8%
126.689174 1
4.8%
126.689159 1
4.8%
126.68896 1
4.8%

장소명칭
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T23:30:59.623104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.2857143
Min length2

Characters and Unicode

Total characters132
Distinct characters68
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

Unique17 ?
Unique (%)81.0%

Sample

1st row너븐숭이 4.3기념관 입구
2nd row애기무덤
3rd row위령비
4th row계단10개
5th row돌길
ValueCountFrequency (%)
오르막 4
 
11.4%
시작/끌 2
 
5.7%
너븐숭이 2
 
5.7%
4.3기념관 2
 
5.7%
내리막길 2
 
5.7%
보이는 1
 
2.9%
해동포구 1
 
2.9%
비상벨 1
 
2.9%
기념비 1
 
2.9%
송덕 1
 
2.9%
Other values (18) 18
51.4%
2023-12-12T23:31:00.055598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
10.6%
막 6
 
4.5%
이 5
 
3.8%
길 5
 
3.8%
기 4
 
3.0%
르 4
 
3.0%
비 4
 
3.0%
오 4
 
3.0%
작 3
 
2.3%
념 3
 
2.3%
Other values (58) 80
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
81.1%
Space Separator 14
 
10.6%
Decimal Number 7
 
5.3%
Other Punctuation 4
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
막 6
 
5.6%
이 5
 
4.7%
길 5
 
4.7%
기 4
 
3.7%
르 4
 
3.7%
비 4
 
3.7%
오 4
 
3.7%
작 3
 
2.8%
념 3
 
2.8%
시 3
 
2.8%
Other values (50) 66
61.7%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
4 2
28.6%
1 1
14.3%
0 1
14.3%
6 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
/ 2
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
81.1%
Common 25
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
막 6
 
5.6%
이 5
 
4.7%
길 5
 
4.7%
기 4
 
3.7%
르 4
 
3.7%
비 4
 
3.7%
오 4
 
3.7%
작 3
 
2.8%
념 3
 
2.8%
시 3
 
2.8%
Other values (50) 66
61.7%
Common
ValueCountFrequency (%)
14
56.0%
3 2
 
8.0%
4 2
 
8.0%
. 2
 
8.0%
/ 2
 
8.0%
1 1
 
4.0%
0 1
 
4.0%
6 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107
81.1%
ASCII 25
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
56.0%
3 2
 
8.0%
4 2
 
8.0%
. 2
 
8.0%
/ 2
 
8.0%
1 1
 
4.0%
0 1
 
4.0%
6 1
 
4.0%
Hangul
ValueCountFrequency (%)
막 6
 
5.6%
이 5
 
4.7%
길 5
 
4.7%
기 4
 
3.7%
르 4
 
3.7%
비 4
 
3.7%
오 4
 
3.7%
작 3
 
2.8%
념 3
 
2.8%
시 3
 
2.8%
Other values (50) 66
61.7%

장소상세정보
Categorical

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
특이사항없음
12 
퐁낭 앞길
2 
턱2cm
 
1
계단 오르면 정자. 빌레 있음
 
1
정자 있음
 
1
Other values (4)
4 

Length

Max length19
Median length6
Mean length7.047619
Min length3

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st row턱2cm
2nd row특이사항없음
3rd row특이사항없음
4th row계단 오르면 정자. 빌레 있음
5th row정자 있음

Common Values

ValueCountFrequency (%)
특이사항없음 12
57.1%
퐁낭 앞길 2
 
9.5%
턱2cm 1
 
4.8%
계단 오르면 정자. 빌레 있음 1
 
4.8%
정자 있음 1
 
4.8%
데크길 중 오르막과 끝 1
 
4.8%
주차장 1
 
4.8%
사거리에서 좌회전 돌면서 올라가야함 1
 
4.8%
방범용cctv 1
 
4.8%

Length

2023-12-12T23:31:00.220335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:00.402914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특이사항없음 12
35.3%
앞길 2
 
5.9%
정자 2
 
5.9%
있음 2
 
5.9%
퐁낭 2
 
5.9%
끝 1
 
2.9%
올라가야함 1
 
2.9%
돌면서 1
 
2.9%
좌회전 1
 
2.9%
사거리에서 1
 
2.9%
Other values (9) 9
26.5%

무장애관광정보
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
특이사항없음
11 
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)
10 

Length

Max length34
Median length6
Mean length19.333333
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row특이사항없음
2nd row특이사항없음
3rd row특이사항없음
4th row접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)
5th row접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)

Common Values

ValueCountFrequency (%)
특이사항없음 11
52.4%
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음) 10
47.6%

Length

2023-12-12T23:31:00.588614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:00.733694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 20
16.5%
특이사항없음 11
9.1%
접근성 10
8.3%
정보 10
8.3%
계단 10
8.3%
혹은 10
8.3%
경사 10
8.3%
길 10
8.3%
상태 10
8.3%
안 10
8.3%

추천코스여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size153.0 B
False
11 
True
10 
ValueCountFrequency (%)
False 11
52.4%
True 10
47.6%
2023-12-12T23:31:00.851328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터품질점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
정상
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 21
100.0%

Length

2023-12-12T23:31:00.968793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:31:01.079441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 21
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2020-12-22 00:00:00
Maximum2020-12-22 00:00:00
2023-12-12T23:31:01.176888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:31:01.273339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:30:58.590943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:58.398940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:58.675996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:30:58.495817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:31:01.347775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도장소명칭장소상세정보무장애관광정보추천코스여부
위도1.0000.8620.7120.0000.6790.760
경도0.8621.0000.9120.0000.2840.412
장소명칭0.7120.9121.0000.9331.0001.000
장소상세정보0.0000.0000.9331.0000.4210.317
무장애관광정보0.6790.2841.0000.4211.0000.807
추천코스여부0.7600.4121.0000.3170.8071.000
2023-12-12T23:31:01.468709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추천코스여부무장애관광정보장소상세정보
추천코스여부1.0000.5960.213
무장애관광정보0.5961.0000.309
장소상세정보0.2130.3091.000
2023-12-12T23:31:01.567960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도장소상세정보무장애관광정보추천코스여부
위도1.000-0.7140.0000.4320.495
경도-0.7141.0000.0000.2340.362
장소상세정보0.0000.0001.0000.3090.213
무장애관광정보0.4320.2340.3091.0000.596
추천코스여부0.4950.3620.2130.5961.000

Missing values

2023-12-12T23:30:58.798524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:30:58.937624image/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

위도경도장소명칭장소상세정보무장애관광정보추천코스여부데이터품질점검결과데이터기준일자
033.54594126.688866너븐숭이 4.3기념관 입구턱2cm특이사항없음Y정상2020-12-22
133.545947126.68896애기무덤특이사항없음특이사항없음Y정상2020-12-22
233.546349126.689159위령비특이사항없음특이사항없음Y정상2020-12-22
333.546306126.689174계단10개계단 오르면 정자. 빌레 있음접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
433.546249126.689208돌길정자 있음접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
533.546162126.689331돌계단6개특이사항없음접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
633.546184126.68951순이삼촌 문학비특이사항없음특이사항없음Y정상2020-12-22
733.546206126.689724옴팡밭특이사항없음특이사항없음Y정상2020-12-22
833.546235126.689714나무데크길특이사항없음접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
933.546272126.689591오르막데크길 중 오르막과 끝접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
위도경도장소명칭장소상세정보무장애관광정보추천코스여부데이터품질점검결과데이터기준일자
1133.545876126.688806너븐숭이 4.3기념관주차장특이사항없음Y정상2020-12-22
1233.546456126.688111바다가 보이는 콩밭특이사항없음특이사항없음Y정상2020-12-22
1333.547652126.686165서우봉 가는 길이정표특이사항없음특이사항없음Y정상2020-12-22
1433.548015126.685679오르막 시작사거리에서 좌회전 돌면서 올라가야함접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
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