Overview

Dataset statistics

Number of variables8
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory71.3 B

Variable types

Numeric2
Text2
Categorical3
Boolean1

Dataset

Description제주특별자치도에서 제공하는 무장애여행 관련 관광지별 "위도, 경도, 장소명칭, 장소상세정보, 무장애관광정보"입니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15075200/fileData.do

Alerts

추천코스여부 has constant value ""Constant
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

Reproduction

Analysis started2023-12-12 23:00:37.031524
Analysis finished2023-12-12 23:00:37.938552
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.452638
Minimum33.45207
Maximum33.45309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:00:38.315082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.45207
5-th percentile33.452106
Q133.45251
median33.45269
Q333.45278
95-th percentile33.453056
Maximum33.45309
Range0.00102
Interquartile range (IQR)0.00027

Descriptive statistics

Standard deviation0.00027693682
Coefficient of variation (CV)8.2784748 × 10-6
Kurtosis-0.10139691
Mean33.452638
Median Absolute Deviation (MAD)0.00017
Skewness-0.4837473
Sum836.31594
Variance7.6694 × 10-8
MonotonicityNot monotonic
2023-12-13T08:00:38.442121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
33.4527 3
 
12.0%
33.45269 3
 
12.0%
33.45267 3
 
12.0%
33.45291 1
 
4.0%
33.45221 1
 
4.0%
33.453 1
 
4.0%
33.45309 1
 
4.0%
33.45207 1
 
4.0%
33.4523 1
 
4.0%
33.45245 1
 
4.0%
Other values (9) 9
36.0%
ValueCountFrequency (%)
33.45207 1
 
4.0%
33.45208 1
 
4.0%
33.45221 1
 
4.0%
33.4523 1
 
4.0%
33.45235 1
 
4.0%
33.45245 1
 
4.0%
33.45251 1
 
4.0%
33.45257 1
 
4.0%
33.45259 1
 
4.0%
33.45267 3
12.0%
ValueCountFrequency (%)
33.45309 1
 
4.0%
33.45307 1
 
4.0%
33.453 1
 
4.0%
33.45292 1
 
4.0%
33.45291 1
 
4.0%
33.45286 1
 
4.0%
33.45278 1
 
4.0%
33.4527 3
12.0%
33.45269 3
12.0%
33.45267 3
12.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.48997
Minimum126.48792
Maximum126.49144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:00:38.594262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.48792
5-th percentile126.48804
Q1126.48901
median126.49036
Q3126.4909
95-th percentile126.49141
Maximum126.49144
Range0.00352
Interquartile range (IQR)0.00189

Descriptive statistics

Standard deviation0.0011720755
Coefficient of variation (CV)9.2661538 × 10-6
Kurtosis-1.265339
Mean126.48997
Median Absolute Deviation (MAD)0.00088
Skewness-0.4222218
Sum3162.2492
Variance1.373761 × 10-6
MonotonicityNot monotonic
2023-12-13T08:00:38.750025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
126.48847 2
 
8.0%
126.49144 2
 
8.0%
126.48849 1
 
4.0%
126.48792 1
 
4.0%
126.48793 1
 
4.0%
126.49065 1
 
4.0%
126.4909 1
 
4.0%
126.4912 1
 
4.0%
126.49127 1
 
4.0%
126.49071 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
126.48792 1
4.0%
126.48793 1
4.0%
126.48847 2
8.0%
126.48849 1
4.0%
126.48859 1
4.0%
126.48901 1
4.0%
126.48903 1
4.0%
126.48943 1
4.0%
126.48979 1
4.0%
126.48986 1
4.0%
ValueCountFrequency (%)
126.49144 2
8.0%
126.49127 1
4.0%
126.49124 1
4.0%
126.4912 1
4.0%
126.491 1
4.0%
126.4909 1
4.0%
126.49088 1
4.0%
126.49077 1
4.0%
126.49071 1
4.0%
126.49065 1
4.0%

장소명칭
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T08:00:38.934634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.52
Min length2

Characters and Unicode

Total characters113
Distinct characters67
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)64.0%

Sample

1st row주차장
2nd row장애인 주차구역
3rd row오르막
4th row오르막
5th row오르막
ValueCountFrequency (%)
쉼터 4
 
10.8%
오르막 3
 
8.1%
화장실 2
 
5.4%
내리막 2
 
5.4%
끝 2
 
5.4%
자갈길 1
 
2.7%
주차장 1
 
2.7%
계단 1
 
2.7%
있었네 1
 
2.7%
숲이 1
 
2.7%
Other values (19) 19
51.4%
2023-12-13T08:00:39.304794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
10.6%
장 6
 
5.3%
막 5
 
4.4%
쉼 4
 
3.5%
터 4
 
3.5%
리 3
 
2.7%
길 3
 
2.7%
르 3
 
2.7%
오 3
 
2.7%
실 2
 
1.8%
Other values (57) 68
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
79.6%
Space Separator 12
 
10.6%
Lowercase Letter 9
 
8.0%
Other Punctuation 1
 
0.9%
Uppercase Letter 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 6
 
6.7%
막 5
 
5.6%
쉼 4
 
4.4%
터 4
 
4.4%
리 3
 
3.3%
길 3
 
3.3%
르 3
 
3.3%
오 3
 
3.3%
실 2
 
2.2%
구 2
 
2.2%
Other values (46) 55
61.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
s 1
11.1%
r 1
11.1%
o 1
11.1%
m 1
11.1%
t 1
11.1%
h 1
11.1%
a 1
11.1%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
79.6%
Common 13
 
11.5%
Latin 10
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 6
 
6.7%
막 5
 
5.6%
쉼 4
 
4.4%
터 4
 
4.4%
리 3
 
3.3%
길 3
 
3.3%
르 3
 
3.3%
오 3
 
3.3%
실 2
 
2.2%
구 2
 
2.2%
Other values (46) 55
61.1%
Latin
ValueCountFrequency (%)
e 2
20.0%
s 1
10.0%
F 1
10.0%
r 1
10.0%
o 1
10.0%
m 1
10.0%
t 1
10.0%
h 1
10.0%
a 1
10.0%
Common
ValueCountFrequency (%)
12
92.3%
. 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
79.6%
ASCII 23
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
52.2%
e 2
 
8.7%
. 1
 
4.3%
s 1
 
4.3%
F 1
 
4.3%
r 1
 
4.3%
o 1
 
4.3%
m 1
 
4.3%
t 1
 
4.3%
h 1
 
4.3%
Hangul
ValueCountFrequency (%)
장 6
 
6.7%
막 5
 
5.6%
쉼 4
 
4.4%
터 4
 
4.4%
리 3
 
3.3%
길 3
 
3.3%
르 3
 
3.3%
오 3
 
3.3%
실 2
 
2.2%
구 2
 
2.2%
Other values (46) 55
61.1%

장소상세정보
Text

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T08:00:39.575475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length13.52
Min length3

Characters and Unicode

Total characters338
Distinct characters79
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

Unique13 ?
Unique (%)52.0%

Sample

1st row장애인 구역 따로 있고. 전기 충전기. 대형버스 접근 등 모두 가능
2nd row특이사항없음
3rd row경사구간 : 경사 10˚. 길이 1m
4th row경사구간 : 경사 4˚. 길이 40m
5th row특이사항없음
ValueCountFrequency (%)
특이사항없음 12
 
13.6%
길이 8
 
9.1%
7
 
8.0%
경사 7
 
8.0%
경사구간 7
 
8.0%
7˚ 3
 
3.4%
44m 3
 
3.4%
4˚ 3
 
3.4%
장애인 2
 
2.3%
포토존 2
 
2.3%
Other values (34) 34
38.6%
2023-12-13T08:00:40.001572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
18.6%
사 28
 
8.3%
이 22
 
6.5%
음 14
 
4.1%
경 14
 
4.1%
없 13
 
3.8%
특 12
 
3.6%
항 12
 
3.6%
. 11
 
3.3%
4 10
 
3.0%
Other values (69) 139
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
65.1%
Space Separator 63
 
18.6%
Decimal Number 21
 
6.2%
Other Punctuation 18
 
5.3%
Modifier Symbol 7
 
2.1%
Lowercase Letter 7
 
2.1%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 28
 
12.7%
이 22
 
10.0%
음 14
 
6.4%
경 14
 
6.4%
없 13
 
5.9%
특 12
 
5.5%
항 12
 
5.5%
구 8
 
3.6%
길 8
 
3.6%
간 7
 
3.2%
Other values (55) 82
37.3%
Decimal Number
ValueCountFrequency (%)
4 10
47.6%
7 3
 
14.3%
2 2
 
9.5%
0 2
 
9.5%
1 2
 
9.5%
8 1
 
4.8%
9 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 11
61.1%
: 7
38.9%
Uppercase Letter
ValueCountFrequency (%)
V 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
65.1%
Common 109
32.2%
Latin 9
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 28
 
12.7%
이 22
 
10.0%
음 14
 
6.4%
경 14
 
6.4%
없 13
 
5.9%
특 12
 
5.5%
항 12
 
5.5%
구 8
 
3.6%
길 8
 
3.6%
간 7
 
3.2%
Other values (55) 82
37.3%
Common
ValueCountFrequency (%)
63
57.8%
. 11
 
10.1%
4 10
 
9.2%
˚ 7
 
6.4%
: 7
 
6.4%
7 3
 
2.8%
2 2
 
1.8%
0 2
 
1.8%
1 2
 
1.8%
8 1
 
0.9%
Latin
ValueCountFrequency (%)
m 7
77.8%
V 1
 
11.1%
T 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
65.1%
ASCII 111
32.8%
Modifier Letters 7
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
56.8%
. 11
 
9.9%
4 10
 
9.0%
m 7
 
6.3%
: 7
 
6.3%
7 3
 
2.7%
2 2
 
1.8%
0 2
 
1.8%
1 2
 
1.8%
8 1
 
0.9%
Other values (3) 3
 
2.7%
Hangul
ValueCountFrequency (%)
사 28
 
12.7%
이 22
 
10.0%
음 14
 
6.4%
경 14
 
6.4%
없 13
 
5.9%
특 12
 
5.5%
항 12
 
5.5%
구 8
 
3.6%
길 8
 
3.6%
간 7
 
3.2%
Other values (55) 82
37.3%
Modifier Letters
ValueCountFrequency (%)
˚ 7
100.0%

무장애관광정보
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
특이사항없음
17 
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)
6 
장애인화장실
2 

Length

Max length34
Median length6
Mean length12.72
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row특이사항없음
2nd row특이사항없음
3rd row접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)
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 17
68.0%
접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음) 6
 
24.0%
장애인화장실 2
 
8.0%

Length

2023-12-13T08:00:40.176758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:40.302503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특이사항없음 17
20.0%
있음 12
14.1%
접근성 6
 
7.1%
정보 6
 
7.1%
계단 6
 
7.1%
혹은 6
 
7.1%
경사 6
 
7.1%
길 6
 
7.1%
상태 6
 
7.1%
안 6
 
7.1%
Other values (2) 8
9.4%

추천코스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size157.0 B
True
25 
ValueCountFrequency (%)
True 25
100.0%
2023-12-13T08:00:40.403653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터품질점검결과
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
정상
25 

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 25
100.0%

Length

2023-12-13T08:00:40.509334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:40.644264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 25
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2020-12-22
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-22
2nd row2020-12-22
3rd row2020-12-22
4th row2020-12-22
5th row2020-12-22

Common Values

ValueCountFrequency (%)
2020-12-22 25
100.0%

Length

2023-12-13T08:00:40.755700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:00:40.842360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-22 25
100.0%

Interactions

2023-12-13T08:00:37.471318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:37.304479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:37.573506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:00:37.383665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:00:40.898535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도장소명칭장소상세정보무장애관광정보
위도1.0000.0000.9320.6820.224
경도0.0001.0000.2740.5460.868
장소명칭0.9320.2741.0000.8581.000
장소상세정보0.6820.5460.8581.0000.000
무장애관광정보0.2240.8681.0000.0001.000
2023-12-13T08:00:40.991227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도무장애관광정보
위도1.000-0.6600.000
경도-0.6601.0000.493
무장애관광정보0.0000.4931.000

Missing values

2023-12-13T08:00:37.730226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:00:37.881673image/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
033.45291126.48849주차장장애인 구역 따로 있고. 전기 충전기. 대형버스 접근 등 모두 가능특이사항없음Y정상2020-12-22
133.45257126.48847장애인 주차구역특이사항없음특이사항없음Y정상2020-12-22
233.45259126.48847오르막경사구간 : 경사 10˚. 길이 1m접근성 정보 있음 (계단 혹은 경사 있음. 길 상태 안 좋음)Y정상2020-12-22
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