Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory71.5 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/15075191/fileData.do

Alerts

추천코스여부 has constant value ""Constant
데이터품질점검결과 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:53:34.876254
Analysis finished2023-12-12 07:53:35.735250
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.513301
Minimum33.512332
Maximum33.514512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T16:53:35.814278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.512332
5-th percentile33.512419
Q133.512667
median33.513324
Q333.51385
95-th percentile33.514323
Maximum33.514512
Range0.00218005
Interquartile range (IQR)0.001182495

Descriptive statistics

Standard deviation0.00066986934
Coefficient of variation (CV)1.9988164 × 10-5
Kurtosis-1.209265
Mean33.513301
Median Absolute Deviation (MAD)0.0006045
Skewness0.16333014
Sum804.31922
Variance4.4872494 × 10-7
MonotonicityNot monotonic
2023-12-12T16:53:35.935844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
33.51269399 1
 
4.2%
33.51426098 1
 
4.2%
33.51256801 1
 
4.2%
33.512466 1
 
4.2%
33.51258704 1
 
4.2%
33.51233197 1
 
4.2%
33.51241102 1
 
4.2%
33.51251897 1
 
4.2%
33.51290102 1
 
4.2%
33.513832 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
33.51233197 1
4.2%
33.51241102 1
4.2%
33.512466 1
4.2%
33.51251897 1
4.2%
33.51256801 1
4.2%
33.51258704 1
4.2%
33.51269399 1
4.2%
33.51287101 1
4.2%
33.51290102 1
4.2%
33.51296799 1
4.2%
ValueCountFrequency (%)
33.51451202 1
4.2%
33.51433399 1
4.2%
33.51426098 1
4.2%
33.51398103 1
4.2%
33.51397399 1
4.2%
33.51390299 1
4.2%
33.513832 1
4.2%
33.51369898 1
4.2%
33.513602 1
4.2%
33.513588 1
4.2%

경도
Real number (ℝ)

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.54869
Minimum126.54806
Maximum126.54931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T16:53:36.059059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54806
5-th percentile126.54813
Q1126.54847
median126.5486
Q3126.54889
95-th percentile126.54925
Maximum126.54931
Range0.001249
Interquartile range (IQR)0.00042225

Descriptive statistics

Standard deviation0.00034254391
Coefficient of variation (CV)2.7068152 × 10-6
Kurtosis-0.54976428
Mean126.54869
Median Absolute Deviation (MAD)0.0002155
Skewness0.19483994
Sum3037.1685
Variance1.1733633 × 10-7
MonotonicityNot monotonic
2023-12-12T16:53:36.186223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
126.548875 2
 
8.3%
126.549083 1
 
4.2%
126.548662 1
 
4.2%
126.549233 1
 
4.2%
126.54907 1
 
4.2%
126.548597 1
 
4.2%
126.548062 1
 
4.2%
126.548106 1
 
4.2%
126.54829 1
 
4.2%
126.54845 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
126.548062 1
4.2%
126.548106 1
4.2%
126.54829 1
4.2%
126.548444 1
4.2%
126.548445 1
4.2%
126.54845 1
4.2%
126.548475 1
4.2%
126.548486 1
4.2%
126.54853 1
4.2%
126.548545 1
4.2%
ValueCountFrequency (%)
126.549311 1
4.2%
126.549254 1
4.2%
126.549233 1
4.2%
126.549083 1
4.2%
126.54907 1
4.2%
126.548936 1
4.2%
126.548876 1
4.2%
126.548875 2
8.3%
126.548715 1
4.2%
126.548662 1
4.2%
Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T16:53:36.377513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.875
Min length1

Characters and Unicode

Total characters165
Distinct characters52
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)83.3%

Sample

1st row주차장
2nd row주출입구
3rd row전시관 진입 경사로
4th row전시관 입구
5th row여자 장애인 화장실1
ValueCountFrequency (%)
내리막 4
 
8.2%
오르막 4
 
8.2%
종료 3
 
6.1%
갈림길 3
 
6.1%
지점2 2
 
4.1%
산책로 2
 
4.1%
관람로 2
 
4.1%
지점1 2
 
4.1%
시작 2
 
4.1%
주차장 2
 
4.1%
Other values (20) 23
46.9%
2023-12-12T16:53:36.794614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
15.2%
8
 
4.8%
7
 
4.2%
6
 
3.6%
6
 
3.6%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
4
 
2.4%
Other values (42) 91
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
80.0%
Space Separator 25
 
15.2%
Decimal Number 6
 
3.6%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.1%
7
 
5.3%
6
 
4.5%
6
 
4.5%
5
 
3.8%
5
 
3.8%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (37) 79
59.8%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 3
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
80.0%
Common 33
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.1%
7
 
5.3%
6
 
4.5%
6
 
4.5%
5
 
3.8%
5
 
3.8%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (37) 79
59.8%
Common
ValueCountFrequency (%)
25
75.8%
2 3
 
9.1%
1 3
 
9.1%
) 1
 
3.0%
( 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
80.0%
ASCII 33
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
75.8%
2 3
 
9.1%
1 3
 
9.1%
) 1
 
3.0%
( 1
 
3.0%
Hangul
ValueCountFrequency (%)
8
 
6.1%
7
 
5.3%
6
 
4.5%
6
 
4.5%
5
 
3.8%
5
 
3.8%
4
 
3.0%
4
 
3.0%
4
 
3.0%
4
 
3.0%
Other values (37) 79
59.8%
Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
특이사항없음
10 
경사로 안전지지대 점자 있음
경사구간 : 경사길이 : 35m. 각도 : 9˚
경사구간 : 경사길이 : 61m. 13˚ (턱 3cm)
경사구간 : 경사길이 : 54m. 5˚
Other values (5)

Length

Max length30
Median length27
Mean length15.125
Min length2

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st row특이사항없음
2nd row특이사항없음
3rd row경사로 안전지지대 점자 있음
4th row특이사항없음
5th row특이사항없음

Common Values

ValueCountFrequency (%)
특이사항없음 10
41.7%
경사로 안전지지대 점자 있음 2
 
8.3%
경사구간 : 경사길이 : 35m. 각도 : 9˚ 2
 
8.3%
경사구간 : 경사길이 : 61m. 13˚ (턱 3cm) 2
 
8.3%
경사구간 : 경사길이 : 54m. 5˚ 2
 
8.3%
경사구간 : 경사길이 : 28m. 10˚ 2
 
8.3%
야외 1
 
4.2%
*POI. 내리막 경사로 75m. 4˚ 1
 
4.2%
(갈림길 왼쪽 현재 공사중이며 박물관 증축중) 1
 
4.2%
*POI. 연못 내려가는 계단 18개. 벤치 2개 1
 
4.2%

Length

2023-12-12T16:53:36.934792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:37.076177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18
19.4%
특이사항없음 10
 
10.8%
경사구간 8
 
8.6%
경사길이 8
 
8.6%
경사로 3
 
3.2%
13˚ 2
 
2.2%
poi 2
 
2.2%
28m 2
 
2.2%
2
 
2.2%
54m 2
 
2.2%
Other values (26) 36
38.7%
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
특이사항없음
12 
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)
장애인화장실

Length

Max length34
Median length6
Mean length16.5
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row특이사항없음
2nd row특이사항없음
3rd row특이사항없음
4th row특이사항없음
5th row장애인화장실

Common Values

ValueCountFrequency (%)
특이사항없음 12
50.0%
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음) 9
37.5%
장애인화장실 3
 
12.5%

Length

2023-12-12T16:53:37.243957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:37.356537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 18
15.8%
특이사항없음 12
10.5%
접근성 9
7.9%
정보 9
7.9%
계단 9
7.9%
혹은 9
7.9%
경사 9
7.9%
9
7.9%
상태 9
7.9%
9
7.9%
Other values (2) 12
10.5%

추천코스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
24 
ValueCountFrequency (%)
True 24
100.0%
2023-12-12T16:53:37.434345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터품질점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
정상
24 

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 24
100.0%

Length

2023-12-12T16:53:37.524904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:37.616816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 24
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2020-12-22 00:00:00
Maximum2020-12-22 00:00:00
2023-12-12T16:53:37.703244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:37.812712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:53:35.246975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:35.082618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:35.334855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:35.163993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:53:37.900815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도장소명칭장소상세정보무장애관광정보
위도1.0000.3690.9700.8060.503
경도0.3691.0000.8420.6780.354
장소명칭0.9700.8421.0001.0001.000
장소상세정보0.8060.6781.0001.0000.730
무장애관광정보0.5030.3541.0000.7301.000
2023-12-12T16:53:38.380845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무장애관광정보장소상세정보
무장애관광정보1.0000.473
장소상세정보0.4731.000
2023-12-12T16:53:38.488603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도장소상세정보무장애관광정보
위도1.000-0.0520.3390.257
경도-0.0521.0000.3550.177
장소상세정보0.3390.3551.0000.473
무장애관광정보0.2570.1770.4731.000

Missing values

2023-12-12T16:53:35.467955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:53:35.648575image/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
033.512694126.549083주차장특이사항없음특이사항없음Y정상2020-12-22
133.512968126.548662주출입구특이사항없음특이사항없음Y정상2020-12-22
233.513256126.548715전시관 진입 경사로경사로 안전지지대 점자 있음특이사항없음Y정상2020-12-22
333.513391126.548578전시관 입구특이사항없음특이사항없음Y정상2020-12-22
433.513588126.548445여자 장애인 화장실1특이사항없음장애인화장실Y정상2020-12-22
533.513602126.548475관람로특이사항없음특이사항없음Y정상2020-12-22
633.513121126.54853카페입구 진입로경사로 안전지지대 점자 있음특이사항없음Y정상2020-12-22
733.512871126.548605관람로특이사항없음특이사항없음Y정상2020-12-22
833.513445126.548486여자 장애인 화장실2야외장애인화장실Y정상2020-12-22
933.513699126.548444내리막 시작 지점1경사구간 : 경사길이 : 35m. 각도 : 9˚접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
위도경도장소명칭장소상세정보무장애관광정보추천코스여부데이터품질점검결과데이터기준일자
1433.514512126.548876쉼터(정자)특이사항없음특이사항없음Y정상2020-12-22
1533.514334126.54845오르막 시작점경사구간 : 경사길이 : 61m. 13˚ (턱 3cm)접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
1633.513832126.54829오르막 종료점경사구간 : 경사길이 : 61m. 13˚ (턱 3cm)접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
1733.512901126.548106산책로 갈림길 오르막경사구간 : 경사길이 : 54m. 5˚접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
1833.512519126.548062산책로 갈림길 오르막 종료경사구간 : 경사길이 : 54m. 5˚접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
1933.512411126.548597내리막 시작 지점2경사구간 : 경사길이 : 28m. 10˚접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
2033.512332126.548875내리막 종료 지점2경사구간 : 경사길이 : 28m. 10˚접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
2133.512587126.548875특이사항없음접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
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