Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory72.0 B

Variable types

Numeric2
Text2
Categorical2
Boolean1
DateTime1

Dataset

Description제주특별자치도에서 제공하는 무장애여행 관련 관광지별 "위도, 경도, 장소명칭, 장소상세정보, 무장애관광정보"입니다.
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/697

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 위도 and 1 other fieldsHigh correlation
무장애관광정보 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
추천코스여부 is highly overall correlated with 무장애관광정보High correlation
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 20:08:22.046810
Analysis finished2023-12-11 20:08:23.165720
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.532434
Minimum33.529809
Maximum33.536664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T05:08:23.261384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.529809
5-th percentile33.529919
Q133.531191
median33.533016
Q333.533166
95-th percentile33.533612
Maximum33.536664
Range0.00685497
Interquartile range (IQR)0.0019757225

Descriptive statistics

Standard deviation0.0015462312
Coefficient of variation (CV)4.6111512 × 10-5
Kurtosis1.5603703
Mean33.532434
Median Absolute Deviation (MAD)0.00035552
Skewness0.35926896
Sum737.71354
Variance2.390831 × 10-6
MonotonicityNot monotonic
2023-12-12T05:08:23.438948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
33.533174 1
 
4.5%
33.53312697 1
 
4.5%
33.53666397 1
 
4.5%
33.53314097 1
 
4.5%
33.53314399 1
 
4.5%
33.53327399 1
 
4.5%
33.53326896 1
 
4.5%
33.53362997 1
 
4.5%
33.53322504 1
 
4.5%
33.53296302 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
33.529809 1
4.5%
33.52990698 1
4.5%
33.53013799 1
4.5%
33.53090904 1
4.5%
33.53103301 1
4.5%
33.53105304 1
4.5%
33.53160398 1
4.5%
33.53200397 1
4.5%
33.53265096 1
4.5%
33.53266999 1
4.5%
ValueCountFrequency (%)
33.53666397 1
4.5%
33.53362997 1
4.5%
33.53327399 1
4.5%
33.53326896 1
4.5%
33.53322504 1
4.5%
33.533174 1
4.5%
33.53314399 1
4.5%
33.53314097 1
4.5%
33.53312697 1
4.5%
33.53308297 1
4.5%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.84342
Minimum126.84058
Maximum126.8459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T05:08:23.628731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.84058
5-th percentile126.8409
Q1126.8424
median126.84346
Q3126.84448
95-th percentile126.84528
Maximum126.8459
Range0.005325
Interquartile range (IQR)0.0020765

Descriptive statistics

Standard deviation0.0013696302
Coefficient of variation (CV)1.0797802 × 10-5
Kurtosis-0.22880485
Mean126.84342
Median Absolute Deviation (MAD)0.0010625
Skewness-0.33308431
Sum2790.5553
Variance1.8758868 × 10-6
MonotonicityNot monotonic
2023-12-12T05:08:23.793317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
126.842109 1
 
4.5%
126.844368 1
 
4.5%
126.840578 1
 
4.5%
126.840839 1
 
4.5%
126.844519 1
 
4.5%
126.842394 1
 
4.5%
126.84239 1
 
4.5%
126.842957 1
 
4.5%
126.843382 1
 
4.5%
126.84409 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
126.840578 1
4.5%
126.840839 1
4.5%
126.842109 1
4.5%
126.842204 1
4.5%
126.84239 1
4.5%
126.842394 1
4.5%
126.842437 1
4.5%
126.842957 1
4.5%
126.84319 1
4.5%
126.843195 1
4.5%
ValueCountFrequency (%)
126.845903 1
4.5%
126.845302 1
4.5%
126.844804 1
4.5%
126.844752 1
4.5%
126.844596 1
4.5%
126.844519 1
4.5%
126.844368 1
4.5%
126.844253 1
4.5%
126.84409 1
4.5%
126.843549 1
4.5%

장소명칭
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T05:08:24.099443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length9.9545455
Min length4

Characters and Unicode

Total characters219
Distinct characters73
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row공영주차장
2nd row감수굴 수덕비
3rd row갈림길1
4th row평대 중동 회관
5th row불림 모살길
ValueCountFrequency (%)
종료(공영주차장)(w.p 2
 
3.9%
넙덕빌레 2
 
3.9%
36=54=55 2
 
3.9%
w.p 2
 
3.9%
시작 2
 
3.9%
갈림길2 2
 
3.9%
갯동산 2
 
3.9%
만나는 2
 
3.9%
회관 2
 
3.9%
중동 2
 
3.9%
Other values (28) 31
60.8%
2023-12-12T05:08:24.578562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
13.2%
장 7
 
3.2%
길 7
 
3.2%
5 6
 
2.7%
. 6
 
2.7%
) 6
 
2.7%
림 6
 
2.7%
( 6
 
2.7%
갈 5
 
2.3%
동 5
 
2.3%
Other values (63) 136
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
63.5%
Space Separator 29
 
13.2%
Decimal Number 21
 
9.6%
Uppercase Letter 8
 
3.7%
Other Punctuation 6
 
2.7%
Close Punctuation 6
 
2.7%
Open Punctuation 6
 
2.7%
Math Symbol 4
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 7
 
5.0%
길 7
 
5.0%
림 6
 
4.3%
갈 5
 
3.6%
동 5
 
3.6%
점 4
 
2.9%
료 4
 
2.9%
종 4
 
2.9%
공 4
 
2.9%
작 3
 
2.2%
Other values (48) 90
64.7%
Decimal Number
ValueCountFrequency (%)
5 6
28.6%
4 4
19.0%
3 4
19.0%
2 2
 
9.5%
6 2
 
9.5%
7 1
 
4.8%
9 1
 
4.8%
1 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
P 4
50.0%
W 4
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
63.5%
Common 72
32.9%
Latin 8
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 7
 
5.0%
길 7
 
5.0%
림 6
 
4.3%
갈 5
 
3.6%
동 5
 
3.6%
점 4
 
2.9%
료 4
 
2.9%
종 4
 
2.9%
공 4
 
2.9%
작 3
 
2.2%
Other values (48) 90
64.7%
Common
ValueCountFrequency (%)
29
40.3%
5 6
 
8.3%
. 6
 
8.3%
) 6
 
8.3%
( 6
 
8.3%
4 4
 
5.6%
= 4
 
5.6%
3 4
 
5.6%
2 2
 
2.8%
6 2
 
2.8%
Other values (3) 3
 
4.2%
Latin
ValueCountFrequency (%)
P 4
50.0%
W 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
63.5%
ASCII 80
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
36.2%
5 6
 
7.5%
. 6
 
7.5%
) 6
 
7.5%
( 6
 
7.5%
4 4
 
5.0%
= 4
 
5.0%
3 4
 
5.0%
P 4
 
5.0%
W 4
 
5.0%
Other values (5) 7
 
8.8%
Hangul
ValueCountFrequency (%)
장 7
 
5.0%
길 7
 
5.0%
림 6
 
4.3%
갈 5
 
3.6%
동 5
 
3.6%
점 4
 
2.9%
료 4
 
2.9%
종 4
 
2.9%
공 4
 
2.9%
작 3
 
2.2%
Other values (48) 90
64.7%

장소상세정보
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T05:08:24.849361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length11.181818
Min length6

Characters and Unicode

Total characters246
Distinct characters95
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)45.5%

Sample

1st row감수굴 밭담길' 표지판 시작알림
2nd row특이사항없음
3rd row퐁낭' 그늘
4th rowPOI 나즈막한 정원집들
5th row노면: 자갈길 / POI 기와한옥집. 핑크뮬리밭
ValueCountFrequency (%)
특이사항없음 9
 
16.1%
자갈길 4
 
7.1%
노면 4
 
7.1%
2
 
3.6%
poi 2
 
3.6%
경사구간 1
 
1.8%
경사길이 1
 
1.8%
총 1
 
1.8%
14m 1
 
1.8%
5° 1
 
1.8%
Other values (30) 30
53.6%
2023-12-12T05:08:25.340058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
14.6%
사 13
 
5.3%
이 13
 
5.3%
없 11
 
4.5%
음 11
 
4.5%
특 9
 
3.7%
항 9
 
3.7%
길 8
 
3.3%
면 5
 
2.0%
: 5
 
2.0%
Other values (85) 126
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
75.6%
Space Separator 36
 
14.6%
Other Punctuation 13
 
5.3%
Uppercase Letter 6
 
2.4%
Decimal Number 3
 
1.2%
Lowercase Letter 1
 
0.4%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
7.0%
이 13
 
7.0%
없 11
 
5.9%
음 11
 
5.9%
특 9
 
4.8%
항 9
 
4.8%
길 8
 
4.3%
면 5
 
2.7%
갈 5
 
2.7%
자 4
 
2.2%
Other values (72) 98
52.7%
Other Punctuation
ValueCountFrequency (%)
: 5
38.5%
. 4
30.8%
' 3
23.1%
/ 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
P 2
33.3%
I 2
33.3%
O 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
4 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
75.6%
Common 53
 
21.5%
Latin 7
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
7.0%
이 13
 
7.0%
없 11
 
5.9%
음 11
 
5.9%
특 9
 
4.8%
항 9
 
4.8%
길 8
 
4.3%
면 5
 
2.7%
갈 5
 
2.7%
자 4
 
2.2%
Other values (72) 98
52.7%
Common
ValueCountFrequency (%)
36
67.9%
: 5
 
9.4%
. 4
 
7.5%
' 3
 
5.7%
1 1
 
1.9%
4 1
 
1.9%
5 1
 
1.9%
° 1
 
1.9%
/ 1
 
1.9%
Latin
ValueCountFrequency (%)
P 2
28.6%
I 2
28.6%
O 2
28.6%
m 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
75.6%
ASCII 59
 
24.0%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
61.0%
: 5
 
8.5%
. 4
 
6.8%
' 3
 
5.1%
P 2
 
3.4%
I 2
 
3.4%
O 2
 
3.4%
m 1
 
1.7%
1 1
 
1.7%
4 1
 
1.7%
Other values (2) 2
 
3.4%
Hangul
ValueCountFrequency (%)
사 13
 
7.0%
이 13
 
7.0%
없 11
 
5.9%
음 11
 
5.9%
특 9
 
4.8%
항 9
 
4.8%
길 8
 
4.3%
면 5
 
2.7%
갈 5
 
2.7%
자 4
 
2.2%
Other values (72) 98
52.7%
None
ValueCountFrequency (%)
° 1
100.0%

무장애관광정보
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
특이사항없음
13 
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)
9 

Length

Max length34
Median length6
Mean length17.454545
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특이사항없음 13
59.1%
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음) 9
40.9%

Length

2023-12-12T05:08:25.498975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:25.614619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 18
16.1%
특이사항없음 13
11.6%
접근성 9
8.0%
정보 9
8.0%
계단 9
8.0%
혹은 9
8.0%
경사 9
8.0%
길 9
8.0%
상태 9
8.0%
안 9
8.0%

추천코스여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size154.0 B
True
12 
False
10 
ValueCountFrequency (%)
True 12
54.5%
False 10
45.5%
2023-12-12T05:08:25.737525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터품질점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
정상
22 

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 22
100.0%

Length

2023-12-12T05:08:25.867994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:25.998917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 22
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2020-12-22 00:00:00
Maximum2020-12-22 00:00:00
2023-12-12T05:08:26.093024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:08:26.210356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T05:08:22.653929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:08:22.415071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:08:22.762319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:08:22.553306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:08:26.285994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도장소명칭장소상세정보무장애관광정보추천코스여부
위도1.0000.5221.0000.4150.0880.000
경도0.5221.0001.0000.5880.6620.518
장소명칭1.0001.0001.0001.0001.0001.000
장소상세정보0.4150.5881.0001.0001.0000.813
무장애관광정보0.0880.6621.0001.0001.0000.818
추천코스여부0.0000.5181.0000.8130.8181.000
2023-12-12T05:08:26.399069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추천코스여부무장애관광정보
추천코스여부1.0000.609
무장애관광정보0.6091.000
2023-12-12T05:08:26.494946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도무장애관광정보추천코스여부
위도1.000-0.5370.0000.000
경도-0.5371.0000.5310.403
무장애관광정보0.0000.5311.0000.609
추천코스여부0.0000.4030.6091.000

Missing values

2023-12-12T05:08:22.922901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:08:23.098100image/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
033.533174126.842109공영주차장감수굴 밭담길' 표지판 시작알림특이사항없음Y정상2020-12-22
133.53267126.842437감수굴 수덕비특이사항없음특이사항없음Y정상2020-12-22
233.532004126.842204갈림길1퐁낭' 그늘특이사항없음Y정상2020-12-22
333.530909126.843195평대 중동 회관POI 나즈막한 정원집들특이사항없음Y정상2020-12-22
433.529809126.843549불림 모살길노면: 자갈길 / POI 기와한옥집. 핑크뮬리밭접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
533.529907126.845302일반도로 만나는 지점특이사항없음특이사항없음N정상2020-12-22
633.530138126.845903갈림길2 시작노면: 자갈길접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
733.531053126.844752갈림길2 종료노면: 자갈길접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
833.531604126.843535갈림길3특이사항없음특이사항없음Y정상2020-12-22
933.531033126.84319평대 중동 회관 (W.P 39)특이사항없음특이사항없음Y정상2020-12-22
위도경도장소명칭장소상세정보무장애관광정보추천코스여부데이터품질점검결과데이터기준일자
1233.533127126.844368내리막 시작점르토아베이스먼트' 카페 끼고 꺽는 갈림길.접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
1333.533069126.844253내리막 종료점경사구간 : 경사길이 총 14m. 5°접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
1433.532963126.84409비포장 시작노면: 자갈길접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
1533.533225126.843382갈림길4기와돌집 사잇길로 이어짐접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
1633.53363126.842957해안로 정자 만나는 길특이사항없음특이사항없음N정상2020-12-22
1733.533269126.84239종료(공영주차장)(W.P 36=54=55)특이사항없음특이사항없음Y정상2020-12-22
1833.533274126.842394종료(공영주차장)(W.P 36=54=55)특이사항없음특이사항없음Y정상2020-12-22
1933.533144126.844519갯동산. 넙덕빌레 (W.P 47)특이사항없음특이사항없음Y정상2020-12-22
2033.533141126.840839평대해수욕장 간이 화장실현재 사용불가. 장애인 화장실 없음접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22
2133.536664126.840578서동항포구 공중 화장실주변 대체 장애인화장실접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)N정상2020-12-22