Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells11
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory89.7 B

Variable types

Numeric4
Text2
Categorical2
Boolean2

Dataset

Description신천목장산책길의 위치와 관련된 정보로 위도, 경도, 구분, 설명, 포인트, 추천 코스 등의 정보를 제공합니다.
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/1076

Alerts

전체코스여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
상세정보 is highly overall correlated with 순서 and 4 other fieldsHigh correlation
추천코스여부 is highly overall correlated with 상세정보High correlation
순서 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 순서 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
포인트 is highly overall correlated with 순서 and 2 other fieldsHigh correlation
추천코스여부 is highly imbalanced (74.2%)Imbalance
설명 has 11 (47.8%) missing valuesMissing
순서 has unique valuesUnique
위도 has unique valuesUnique
구분 has unique valuesUnique
포인트 has unique valuesUnique

Reproduction

Analysis started2023-12-11 19:52:15.253890
Analysis finished2023-12-11 19:52:17.801123
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T04:52:17.870691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T04:52:17.992505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.354665
Minimum33.351978
Maximum33.357002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T04:52:18.122986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.351978
5-th percentile33.352099
Q133.352611
median33.355539
Q333.35604
95-th percentile33.356639
Maximum33.357002
Range0.00502394
Interquartile range (IQR)0.003429035

Descriptive statistics

Standard deviation0.0017918199
Coefficient of variation (CV)5.3720218 × 10-5
Kurtosis-1.5824326
Mean33.354665
Median Absolute Deviation (MAD)0.00106803
Skewness-0.44309257
Sum767.15731
Variance3.2106185 × 10-6
MonotonicityNot monotonic
2023-12-12T04:52:18.257096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
33.35197804 1
 
4.3%
33.35209404 1
 
4.3%
33.35554797 1
 
4.3%
33.35563296 1
 
4.3%
33.35571502 1
 
4.3%
33.35551503 1
 
4.3%
33.35617804 1
 
4.3%
33.35639404 1
 
4.3%
33.35664298 1
 
4.3%
33.35700198 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
33.35197804 1
4.3%
33.35209404 1
4.3%
33.352144 1
4.3%
33.35227098 1
4.3%
33.35246896 1
4.3%
33.35252202 1
4.3%
33.35269997 1
4.3%
33.35299904 1
4.3%
33.35412196 1
4.3%
33.35531998 1
4.3%
ValueCountFrequency (%)
33.35700198 1
4.3%
33.35664298 1
4.3%
33.35660703 1
4.3%
33.35639404 1
4.3%
33.356215 1
4.3%
33.35617804 1
4.3%
33.35590202 1
4.3%
33.35579599 1
4.3%
33.35571502 1
4.3%
33.35563296 1
4.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.86646
Minimum126.86252
Maximum126.8684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T04:52:18.385691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.86252
5-th percentile126.86269
Q1126.86558
median126.86681
Q3126.86826
95-th percentile126.86832
Maximum126.8684
Range0.005878
Interquartile range (IQR)0.002676

Descriptive statistics

Standard deviation0.0019032712
Coefficient of variation (CV)1.5002162 × 10-5
Kurtosis-0.2119348
Mean126.86646
Median Absolute Deviation (MAD)0.001414
Skewness-0.88149529
Sum2917.9287
Variance3.6224414 × 10-6
MonotonicityNot monotonic
2023-12-12T04:52:18.509942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
126.868288 2
 
8.7%
126.868293 1
 
4.3%
126.862517 1
 
4.3%
126.862636 1
 
4.3%
126.863188 1
 
4.3%
126.863858 1
 
4.3%
126.866634 1
 
4.3%
126.867129 1
 
4.3%
126.868251 1
 
4.3%
126.868326 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
126.862517 1
4.3%
126.862636 1
4.3%
126.863188 1
4.3%
126.863858 1
4.3%
126.865478 1
4.3%
126.8655 1
4.3%
126.865665 1
4.3%
126.865874 1
4.3%
126.86613 1
4.3%
126.866339 1
4.3%
ValueCountFrequency (%)
126.868395 1
4.3%
126.868326 1
4.3%
126.868293 1
4.3%
126.868288 2
8.7%
126.868266 1
4.3%
126.868251 1
4.3%
126.868227 1
4.3%
126.867625 1
4.3%
126.867129 1
4.3%
126.866952 1
4.3%

구분
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T04:52:18.744589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length13.869565
Min length2

Characters and Unicode

Total characters319
Distinct characters93
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

Unique23 ?
Unique (%)100.0%

Sample

1st row공터 주차장 / 카페 물썹(맞은편)
2nd row카페 물썹(2층)
3rd row신천목장 산책길 출입구(올레길3-b코스 방면)
4th row비포장길 끝 / 잔디길 시작
5th row신천목장
ValueCountFrequency (%)
시작 6
 
7.3%
산책길 5
 
6.1%
끝 4
 
4.9%
우측 3
 
3.7%
3
 
3.7%
신천목장 3
 
3.7%
바다 2
 
2.4%
바다목장 2
 
2.4%
밭담길 2
 
2.4%
오르막길 2
 
2.4%
Other values (41) 50
61.0%
2023-12-12T04:52:19.120846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
18.8%
길 15
 
4.7%
장 14
 
4.4%
포 9
 
2.8%
( 9
 
2.8%
) 9
 
2.8%
목 8
 
2.5%
시 7
 
2.2%
신 6
 
1.9%
작 6
 
1.9%
Other values (83) 176
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
69.9%
Space Separator 60
 
18.8%
Open Punctuation 9
 
2.8%
Close Punctuation 9
 
2.8%
Decimal Number 8
 
2.5%
Other Punctuation 4
 
1.3%
Dash Punctuation 3
 
0.9%
Lowercase Letter 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 15
 
6.7%
장 14
 
6.3%
포 9
 
4.0%
목 8
 
3.6%
시 7
 
3.1%
신 6
 
2.7%
작 6
 
2.7%
책 5
 
2.2%
산 5
 
2.2%
천 5
 
2.2%
Other values (71) 143
64.1%
Decimal Number
ValueCountFrequency (%)
3 4
50.0%
2 2
25.0%
1 1
 
12.5%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 3
75.0%
' 1
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
66.7%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
69.9%
Common 93
29.2%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 15
 
6.7%
장 14
 
6.3%
포 9
 
4.0%
목 8
 
3.6%
시 7
 
3.1%
신 6
 
2.7%
작 6
 
2.7%
책 5
 
2.2%
산 5
 
2.2%
천 5
 
2.2%
Other values (71) 143
64.1%
Common
ValueCountFrequency (%)
60
64.5%
( 9
 
9.7%
) 9
 
9.7%
3 4
 
4.3%
- 3
 
3.2%
/ 3
 
3.2%
2 2
 
2.2%
1 1
 
1.1%
' 1
 
1.1%
4 1
 
1.1%
Latin
ValueCountFrequency (%)
b 2
66.7%
a 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
69.9%
ASCII 96
30.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
62.5%
( 9
 
9.4%
) 9
 
9.4%
3 4
 
4.2%
- 3
 
3.1%
/ 3
 
3.1%
b 2
 
2.1%
2 2
 
2.1%
a 1
 
1.0%
1 1
 
1.0%
Other values (2) 2
 
2.1%
Hangul
ValueCountFrequency (%)
길 15
 
6.7%
장 14
 
6.3%
포 9
 
4.0%
목 8
 
3.6%
시 7
 
3.1%
신 6
 
2.7%
작 6
 
2.7%
책 5
 
2.2%
산 5
 
2.2%
천 5
 
2.2%
Other values (71) 143
64.1%

설명
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing11
Missing (%)47.8%
Memory size316.0 B
2023-12-12T04:52:19.357001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length28.5
Mean length18.583333
Min length2

Characters and Unicode

Total characters223
Distinct characters119
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

Unique12 ?
Unique (%)100.0%

Sample

1st row주차노면 X 버스 접근가능
2nd row입구 계단으로 접근 어려움
3rd row비포장길 시작(자갈길) 동행인 필요(평탄한 길로 진입)
4th row겨울철 부지에서 귤피 말리는 풍경을 볼 수 있음 (신천목장과 산책로 사이 철조망 있음)
5th row화강암 쉼터
ValueCountFrequency (%)
산책로 2
 
3.3%
있음 2
 
3.3%
폭 2
 
3.3%
2
 
3.3%
주차노면 1
 
1.6%
13m 1
 
1.6%
노면이 1
 
1.6%
편탄하지 1
 
1.6%
않아 1
 
1.6%
우측 1
 
1.6%
Other values (47) 47
77.0%
2023-12-12T04:52:19.736022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
22.4%
m 5
 
2.2%
길 4
 
1.8%
입 4
 
1.8%
) 4
 
1.8%
( 4
 
1.8%
장 4
 
1.8%
로 4
 
1.8%
구 4
 
1.8%
c 3
 
1.3%
Other values (109) 137
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
63.2%
Space Separator 50
 
22.4%
Decimal Number 11
 
4.9%
Lowercase Letter 8
 
3.6%
Close Punctuation 4
 
1.8%
Open Punctuation 4
 
1.8%
Other Punctuation 3
 
1.3%
Uppercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 4
 
2.8%
입 4
 
2.8%
장 4
 
2.8%
로 4
 
2.8%
구 4
 
2.8%
주 3
 
2.1%
면 3
 
2.1%
산 2
 
1.4%
지 2
 
1.4%
철 2
 
1.4%
Other values (94) 109
77.3%
Decimal Number
ValueCountFrequency (%)
5 3
27.3%
1 2
18.2%
7 2
18.2%
6 1
 
9.1%
4 1
 
9.1%
2 1
 
9.1%
3 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
m 5
62.5%
c 3
37.5%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
63.2%
Common 72
32.3%
Latin 10
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 4
 
2.8%
입 4
 
2.8%
장 4
 
2.8%
로 4
 
2.8%
구 4
 
2.8%
주 3
 
2.1%
면 3
 
2.1%
산 2
 
1.4%
지 2
 
1.4%
철 2
 
1.4%
Other values (94) 109
77.3%
Common
ValueCountFrequency (%)
50
69.4%
) 4
 
5.6%
( 4
 
5.6%
5 3
 
4.2%
1 2
 
2.8%
/ 2
 
2.8%
7 2
 
2.8%
6 1
 
1.4%
4 1
 
1.4%
2 1
 
1.4%
Other values (2) 2
 
2.8%
Latin
ValueCountFrequency (%)
m 5
50.0%
c 3
30.0%
X 2
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
63.2%
ASCII 82
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
61.0%
m 5
 
6.1%
) 4
 
4.9%
( 4
 
4.9%
c 3
 
3.7%
5 3
 
3.7%
1 2
 
2.4%
X 2
 
2.4%
/ 2
 
2.4%
7 2
 
2.4%
Other values (5) 5
 
6.1%
Hangul
ValueCountFrequency (%)
길 4
 
2.8%
입 4
 
2.8%
장 4
 
2.8%
로 4
 
2.8%
구 4
 
2.8%
주 3
 
2.1%
면 3
 
2.1%
산 2
 
1.4%
지 2
 
1.4%
철 2
 
1.4%
Other values (94) 109
77.3%

포인트
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T04:52:19.877005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T04:52:20.013282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

상세정보
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
15 
접근성정보(*계단. 길 상태. 경사) 있음
8 

Length

Max length23
Median length4
Mean length10.608696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row접근성정보(*계단. 길 상태. 경사) 있음
3rd row접근성정보(*계단. 길 상태. 경사) 있음
4th row접근성정보(*계단. 길 상태. 경사) 있음
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 15
65.2%
접근성정보(*계단. 길 상태. 경사) 있음 8
34.8%

Length

2023-12-12T04:52:20.153161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:52:20.264062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
27.3%
접근성정보(*계단 8
14.5%
길 8
14.5%
상태 8
14.5%
경사 8
14.5%
있음 8
14.5%

전체코스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size155.0 B
True
23 
ValueCountFrequency (%)
True 23
100.0%
2023-12-12T04:52:20.349630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

추천코스여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size155.0 B
True
22 
False
 
1
ValueCountFrequency (%)
True 22
95.7%
False 1
 
4.3%
2023-12-12T04:52:20.424524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2021-12-22
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-22
2nd row2021-12-22
3rd row2021-12-22
4th row2021-12-22
5th row2021-12-22

Common Values

ValueCountFrequency (%)
2021-12-22 23
100.0%

Length

2023-12-12T04:52:20.520280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:52:20.610953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-22 23
100.0%

Interactions

2023-12-12T04:52:17.198167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:15.711306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:16.083392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:16.844819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:17.280236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:15.805698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:16.171744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:16.930054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:17.365089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:15.900248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:16.644138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:17.022709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:17.463898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:15.997587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:16.743412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:52:17.111624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:52:20.683602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도구분설명포인트추천코스여부
순서1.0000.7690.7641.0001.0001.0000.000
위도0.7691.0000.8571.0001.0000.7690.000
경도0.7640.8571.0001.0001.0000.7640.000
구분1.0001.0001.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.000
포인트1.0000.7690.7641.0001.0001.0000.000
추천코스여부0.0000.0000.0001.0001.0000.0001.000
2023-12-12T04:52:20.799208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상세정보추천코스여부
상세정보1.0001.000
추천코스여부1.0001.000
2023-12-12T04:52:20.914968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도포인트상세정보추천코스여부
순서1.0000.775-0.0441.0001.0000.000
위도0.7751.0000.5100.7751.0000.000
경도-0.0440.5101.000-0.0441.0000.000
포인트1.0000.775-0.0441.0001.0000.000
상세정보1.0001.0001.0001.0001.0001.000
추천코스여부0.0000.0000.0000.0001.0001.000

Missing values

2023-12-12T04:52:17.578996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:52:17.739071image/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

순서위도경도구분설명포인트상세정보전체코스여부추천코스여부데이터기준일자
0133.351978126.865478공터 주차장 / 카페 물썹(맞은편)주차노면 X 버스 접근가능1<NA>YY2021-12-22
1233.352094126.8655카페 물썹(2층)입구 계단으로 접근 어려움2접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
2333.352144126.865665신천목장 산책길 출입구(올레길3-b코스 방면)비포장길 시작(자갈길) 동행인 필요(평탄한 길로 진입)3접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
3433.352271126.865874비포장길 끝 / 잔디길 시작<NA>4접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
4533.352522126.86613신천목장겨울철 부지에서 귤피 말리는 풍경을 볼 수 있음 (신천목장과 산책로 사이 철조망 있음)5<NA>YY2021-12-22
5633.352469126.866339올레길3-b코스 표식<NA>6<NA>YY2021-12-22
6733.3527126.866813산책길 우측 바다 포토존1<NA>7<NA>YY2021-12-22
7833.352999126.866952산책길 우측 사진 포인트2<NA>8<NA>YY2021-12-22
8933.354122126.867625고망난 돌' 사진 포인트3화강암 쉼터9<NA>YY2021-12-22
91033.35532126.868395산책길 우측 바다 포토존4빌레와 바다뷰 감상10<NA>YY2021-12-22
순서위도경도구분설명포인트상세정보전체코스여부추천코스여부데이터기준일자
131433.356215126.868293잔디길 끝 / 포장도로(시멘트) 시작<NA>14<NA>YY2021-12-22
141533.356607126.868266신천목장 산책길 출입구(올레길3-a코스 방면)<NA>15<NA>YY2021-12-22
151633.357002126.868326바다목장 올레 화장실남녀구분. 장애인X(턱 12cm / 주출입구 폭 75cm / 대면기 출입구 폭 57cm)16접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
161733.356643126.868251목장 밭담길 시작<NA>17<NA>YY2021-12-22
171833.356394126.867129오르막길 시작5도 46m18접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
181933.356178126.866634오르막길 끝<NA>19<NA>YY2021-12-22
192033.355515126.863858돌담 옆 억새 포토존<NA>20<NA>YY2021-12-22
202133.355715126.863188신풍 신천 바다목장 승마 체험장(우측)<NA>21<NA>YY2021-12-22
212233.355633126.862636야자수 나무 포토존<NA>22<NA>YY2021-12-22
222333.355548126.862517목장 밭담길 포장 도로 끝(신천목장 입구)목장 밭담길 끝23<NA>YY2021-12-22