Overview

Dataset statistics

Number of variables96
Number of observations1511
Missing cells2563
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory775.1 B

Variable types

Numeric7
Text6
Categorical13
Boolean70

Dataset

Description전라남도에 있는 해안가 마을 관광자원의 정보를 지역별, 카테고리별로 나눈 목록 데이터. (관광자원 데이터는 공공정보, 편의시설, 휴게시설, 상업시설, 숙박 및 캠핑 정보, 관광 정보, 문화시설 정보, 에너지 정보, 시설자원 정보, 레저/스포츠 정보, 구명시설 정보, 의료시설 정보, 교통정보, 접근성 정보, 기상정보, 교육시설 정보를 포함한다)
Author재단법인전라남도관광재단
URLhttps://www.data.go.kr/data/15109320/fileData.do

Alerts

휴게소 유무 is highly imbalanced (66.6%)Imbalance
졸음쉼터 유무 is highly imbalanced (94.7%)Imbalance
대여시설 유무 is highly imbalanced (55.7%)Imbalance
기념품점 유무 is highly imbalanced (82.0%)Imbalance
자판기 유무 is highly imbalanced (68.5%)Imbalance
오토캠핑 유무 is highly imbalanced (60.7%)Imbalance
역사자원 유무 is highly imbalanced (60.5%)Imbalance
관광안내소 유무 is highly imbalanced (51.7%)Imbalance
해설사 유무 is highly imbalanced (85.2%)Imbalance
등산로 유무 is highly imbalanced (56.8%)Imbalance
일출뷰 유무 is highly imbalanced (71.2%)Imbalance
특산물 유무 is highly imbalanced (74.7%)Imbalance
입장료 유무 is highly imbalanced (52.5%)Imbalance
스토리텔링 유무 is highly imbalanced (76.5%)Imbalance
시장 유무 is highly imbalanced (63.6%)Imbalance
촬영지 유무 is highly imbalanced (63.6%)Imbalance
공연장 유무 is highly imbalanced (64.3%)Imbalance
박물관 유무 is highly imbalanced (63.4%)Imbalance
LPG충전소 유무 is highly imbalanced (88.6%)Imbalance
등대 유무 is highly imbalanced (70.4%)Imbalance
낚시배 유무 is highly imbalanced (50.3%)Imbalance
낚시터 유무 is highly imbalanced (68.2%)Imbalance
샵 유무 is highly imbalanced (81.7%)Imbalance
수상스포츠 유무 is highly imbalanced (81.0%)Imbalance
제세동기 유무 is highly imbalanced (92.9%)Imbalance
구명환 유무 is highly imbalanced (61.4%)Imbalance
긴급전화시설 유무 is highly imbalanced (90.7%)Imbalance
약국 유무 is highly imbalanced (50.3%)Imbalance
이동진료소 유무 is highly imbalanced (94.7%)Imbalance
택시승강장 유무 is highly imbalanced (84.8%)Imbalance
여객선터미널 유무 is highly imbalanced (55.3%)Imbalance
서해랑길 코스 is highly imbalanced (93.1%)Imbalance
남파랑길 코스 is highly imbalanced (92.7%)Imbalance
자전거도로 유무 is highly imbalanced (72.9%)Imbalance
중교 유무 is highly imbalanced (65.1%)Imbalance
고교 유무 is highly imbalanced (77.8%)Imbalance
유치원 유무 is highly imbalanced (58.1%)Imbalance
보육시설 유무 is highly imbalanced (62.4%)Imbalance
리 has 244 (16.1%) missing valuesMissing
관광지 관리자 연락처 has 810 (53.6%) missing valuesMissing
해안누리길 코스 has 1509 (99.9%) missing valuesMissing
관리번호 has unique valuesUnique
호텔 has 1301 (86.1%) zerosZeros
모텔 has 1231 (81.5%) zerosZeros
여관 has 1411 (93.4%) zerosZeros
펜션 has 846 (56.0%) zerosZeros
민박 has 1034 (68.4%) zerosZeros

Reproduction

Analysis started2023-12-12 01:35:11.541729
Analysis finished2023-12-12 01:35:13.468946
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct1511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean767
Minimum12
Maximum1522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T10:35:13.552716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile87.5
Q1389.5
median767
Q31144.5
95-th percentile1446.5
Maximum1522
Range1510
Interquartile range (IQR)755

Descriptive statistics

Standard deviation436.33244
Coefficient of variation (CV)0.56888193
Kurtosis-1.2
Mean767
Median Absolute Deviation (MAD)378
Skewness0
Sum1158937
Variance190386
MonotonicityStrictly increasing
2023-12-12T10:35:13.759035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 1
 
0.1%
1016 1
 
0.1%
1025 1
 
0.1%
1024 1
 
0.1%
1023 1
 
0.1%
1022 1
 
0.1%
1021 1
 
0.1%
1020 1
 
0.1%
1019 1
 
0.1%
1018 1
 
0.1%
Other values (1501) 1501
99.3%
ValueCountFrequency (%)
12 1
0.1%
13 1
0.1%
14 1
0.1%
15 1
0.1%
16 1
0.1%
17 1
0.1%
18 1
0.1%
19 1
0.1%
20 1
0.1%
21 1
0.1%
ValueCountFrequency (%)
1522 1
0.1%
1521 1
0.1%
1520 1
0.1%
1519 1
0.1%
1518 1
0.1%
1517 1
0.1%
1516 1
0.1%
1515 1
0.1%
1514 1
0.1%
1513 1
0.1%

장소명
Text

Distinct1505
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T10:35:14.143073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length6.3481138
Min length1

Characters and Unicode

Total characters9592
Distinct characters594
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

Unique1499 ?
Unique (%)99.2%

Sample

1st row용난굴
2nd row어머리해변
3rd row하우리항
4th row대광해수욕장
5th row신안튤립공원
ValueCountFrequency (%)
카페 26
 
1.4%
펜션 11
 
0.6%
캠핑장 9
 
0.5%
공원 9
 
0.5%
선착장 9
 
0.5%
무안황토갯벌랜드 9
 
0.5%
해수욕장 8
 
0.4%
여수 8
 
0.4%
오동도 8
 
0.4%
전망대 6
 
0.3%
Other values (1659) 1784
94.5%
2023-12-12T10:35:14.670162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
 
4.0%
장 256
 
2.7%
도 242
 
2.5%
해 240
 
2.5%
리 165
 
1.7%
수 159
 
1.7%
원 149
 
1.6%
션 134
 
1.4%
공 132
 
1.4%
펜 128
 
1.3%
Other values (584) 7604
79.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9011
93.9%
Space Separator 383
 
4.0%
Decimal Number 110
 
1.1%
Uppercase Letter 42
 
0.4%
Other Punctuation 15
 
0.2%
Lowercase Letter 11
 
0.1%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 256
 
2.8%
도 242
 
2.7%
해 240
 
2.7%
리 165
 
1.8%
수 159
 
1.8%
원 149
 
1.7%
션 134
 
1.5%
공 132
 
1.5%
펜 128
 
1.4%
카 126
 
1.4%
Other values (545) 7280
80.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
9.5%
E 4
9.5%
O 4
9.5%
C 4
9.5%
N 3
 
7.1%
S 3
 
7.1%
L 3
 
7.1%
R 3
 
7.1%
F 3
 
7.1%
U 2
 
4.8%
Other values (6) 9
21.4%
Decimal Number
ValueCountFrequency (%)
1 29
26.4%
0 13
11.8%
5 11
 
10.0%
2 11
 
10.0%
7 9
 
8.2%
8 9
 
8.2%
4 8
 
7.3%
9 7
 
6.4%
3 7
 
6.4%
6 6
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
f 2
18.2%
e 2
18.2%
c 2
18.2%
a 2
18.2%
m 1
9.1%
k 1
9.1%
r 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 12
80.0%
. 2
 
13.3%
, 1
 
6.7%
Space Separator
ValueCountFrequency (%)
383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9011
93.9%
Common 528
 
5.5%
Latin 53
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 256
 
2.8%
도 242
 
2.7%
해 240
 
2.7%
리 165
 
1.8%
수 159
 
1.8%
원 149
 
1.7%
션 134
 
1.5%
공 132
 
1.5%
펜 128
 
1.4%
카 126
 
1.4%
Other values (545) 7280
80.8%
Latin
ValueCountFrequency (%)
A 4
 
7.5%
E 4
 
7.5%
O 4
 
7.5%
C 4
 
7.5%
N 3
 
5.7%
S 3
 
5.7%
L 3
 
5.7%
R 3
 
5.7%
F 3
 
5.7%
U 2
 
3.8%
Other values (13) 20
37.7%
Common
ValueCountFrequency (%)
383
72.5%
1 29
 
5.5%
0 13
 
2.5%
& 12
 
2.3%
5 11
 
2.1%
2 11
 
2.1%
) 10
 
1.9%
( 10
 
1.9%
7 9
 
1.7%
8 9
 
1.7%
Other values (6) 31
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9011
93.9%
ASCII 581
 
6.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
65.9%
1 29
 
5.0%
0 13
 
2.2%
& 12
 
2.1%
5 11
 
1.9%
2 11
 
1.9%
) 10
 
1.7%
( 10
 
1.7%
7 9
 
1.5%
8 9
 
1.5%
Other values (29) 84
 
14.5%
Hangul
ValueCountFrequency (%)
장 256
 
2.8%
도 242
 
2.7%
해 240
 
2.7%
리 165
 
1.8%
수 159
 
1.8%
원 149
 
1.7%
션 134
 
1.5%
공 132
 
1.5%
펜 128
 
1.4%
카 126
 
1.4%
Other values (545) 7280
80.8%

카테고리명
Categorical

Distinct41
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
카페
231 
항
173 
펜션
167 
공원
123 
해수욕장
 
70
Other values (36)
747 

Length

Max length6
Median length5
Mean length2.4473858
Min length1

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row자연자원
2nd row해변
3rd row항
4th row해수욕장
5th row공원

Common Values

ValueCountFrequency (%)
카페 231
15.3%
항 173
 
11.4%
펜션 167
 
11.1%
공원 123
 
8.1%
해수욕장 70
 
4.6%
체험시설 61
 
4.0%
캠핑장 55
 
3.6%
해변 54
 
3.6%
전시관 52
 
3.4%
자연자원 47
 
3.1%
Other values (31) 478
31.6%

Length

2023-12-12T10:35:14.891294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
카페 231
15.3%
항 173
 
11.4%
펜션 167
 
11.1%
공원 123
 
8.1%
해수욕장 70
 
4.6%
체험시설 61
 
4.0%
캠핑장 55
 
3.6%
해변 54
 
3.6%
전시관 52
 
3.4%
자연자원 47
 
3.1%
Other values (31) 478
31.6%

시군
Categorical

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
신안군
306 
여수시
213 
완도군
203 
진도군
129 
고흥군
99 
Other values (11)
561 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신안군 306
20.3%
여수시 213
14.1%
완도군 203
13.4%
진도군 129
8.5%
고흥군 99
 
6.6%
목포시 95
 
6.3%
해남군 95
 
6.3%
영광군 71
 
4.7%
무안군 64
 
4.2%
강진군 54
 
3.6%
Other values (6) 182
12.0%

Length

2023-12-12T10:35:15.048944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신안군 306
20.3%
여수시 213
14.1%
완도군 203
13.4%
진도군 129
8.5%
고흥군 99
 
6.6%
목포시 95
 
6.3%
해남군 95
 
6.3%
영광군 71
 
4.7%
무안군 64
 
4.2%
강진군 54
 
3.6%
Other values (6) 182
12.0%

읍면동
Text

Distinct141
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T10:35:15.395158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9497022
Min length2

Characters and Unicode

Total characters4457
Distinct characters127
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.2%

Sample

1st row임자면
2nd row임자면
3rd row임자면
4th row임자면
5th row임자면
ValueCountFrequency (%)
증도면 54
 
3.6%
흑산면 51
 
3.4%
돌산읍 50
 
3.3%
완도읍 48
 
3.2%
백수읍 44
 
2.9%
자은면 35
 
2.3%
송지면 34
 
2.3%
안좌면 27
 
1.8%
압해읍 25
 
1.7%
신지면 25
 
1.7%
Other values (131) 1118
74.0%
2023-12-12T10:35:15.978722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 974
21.9%
읍 293
 
6.6%
동 256
 
5.7%
산 224
 
5.0%
도 220
 
4.9%
지 94
 
2.1%
금 74
 
1.7%
군 66
 
1.5%
해 66
 
1.5%
화 65
 
1.5%
Other values (117) 2125
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4456
> 99.9%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 974
21.9%
읍 293
 
6.6%
동 256
 
5.7%
산 224
 
5.0%
도 220
 
4.9%
지 94
 
2.1%
금 74
 
1.7%
군 66
 
1.5%
해 66
 
1.5%
화 65
 
1.5%
Other values (116) 2124
47.7%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4456
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 974
21.9%
읍 293
 
6.6%
동 256
 
5.7%
산 224
 
5.0%
도 220
 
4.9%
지 94
 
2.1%
금 74
 
1.7%
군 66
 
1.5%
해 66
 
1.5%
화 65
 
1.5%
Other values (116) 2124
47.7%
Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4456
> 99.9%
ASCII 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 974
21.9%
읍 293
 
6.6%
동 256
 
5.7%
산 224
 
5.0%
도 220
 
4.9%
지 94
 
2.1%
금 74
 
1.7%
군 66
 
1.5%
해 66
 
1.5%
화 65
 
1.5%
Other values (116) 2124
47.7%
ASCII
ValueCountFrequency (%)
2 1
100.0%

리
Text

MISSING 

Distinct342
Distinct (%)27.0%
Missing244
Missing (%)16.1%
Memory size11.9 KiB
2023-12-12T10:35:16.415165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9755328
Min length2

Characters and Unicode

Total characters3770
Distinct characters177
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)9.6%

Sample

1st row이흑암리
2nd row이흑암리
3rd row광산리
4th row대기리
5th row대기리
ValueCountFrequency (%)
송호리 26
 
2.1%
평사리 24
 
1.9%
군내리 22
 
1.7%
홍도리 21
 
1.7%
백암리 21
 
1.7%
진리 19
 
1.5%
대신리 19
 
1.5%
녹진리 17
 
1.3%
우두리 17
 
1.3%
대초리 16
 
1.3%
Other values (332) 1065
84.1%
2023-12-12T10:35:17.083992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1266
33.6%
신 81
 
2.1%
동 80
 
2.1%
도 68
 
1.8%
대 68
 
1.8%
산 67
 
1.8%
송 63
 
1.7%
사 61
 
1.6%
내 55
 
1.5%
진 55
 
1.5%
Other values (167) 1906
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3770
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1266
33.6%
신 81
 
2.1%
동 80
 
2.1%
도 68
 
1.8%
대 68
 
1.8%
산 67
 
1.8%
송 63
 
1.7%
사 61
 
1.6%
내 55
 
1.5%
진 55
 
1.5%
Other values (167) 1906
50.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3770
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1266
33.6%
신 81
 
2.1%
동 80
 
2.1%
도 68
 
1.8%
대 68
 
1.8%
산 67
 
1.8%
송 63
 
1.7%
사 61
 
1.6%
내 55
 
1.5%
진 55
 
1.5%
Other values (167) 1906
50.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3770
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1266
33.6%
신 81
 
2.1%
동 80
 
2.1%
도 68
 
1.8%
대 68
 
1.8%
산 67
 
1.8%
송 63
 
1.7%
사 61
 
1.6%
내 55
 
1.5%
진 55
 
1.5%
Other values (167) 1906
50.6%

도로명주소
Text

Distinct1360
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T10:35:17.430344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length18.499007
Min length8

Characters and Unicode

Total characters27952
Distinct characters310
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1247 ?
Unique (%)82.5%

Sample

1st row전남 신안군 임자면 이흑암리 1463-7
2nd row전남 신안군 임자면 이흑암리 1463-7
3rd row전남 신안군 임자면 독우길 208-19
4th row전남 신안군 임자면 대광해수욕장길 179
5th row전남 신안군 임자면 대광해수욕장길 172-7
ValueCountFrequency (%)
전남 1507
 
20.9%
신안군 304
 
4.2%
여수시 213
 
3.0%
완도군 202
 
2.8%
진도군 129
 
1.8%
고흥군 98
 
1.4%
해남군 96
 
1.3%
목포시 95
 
1.3%
영광군 71
 
1.0%
무안군 64
 
0.9%
Other values (1756) 4425
61.4%
2023-12-12T10:35:18.187206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5739
20.5%
남 1691
 
6.0%
전 1535
 
5.5%
군 1204
 
4.3%
1 1029
 
3.7%
면 969
 
3.5%
도 702
 
2.5%
2 637
 
2.3%
- 586
 
2.1%
길 565
 
2.0%
Other values (300) 13295
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16969
60.7%
Space Separator 5739
 
20.5%
Decimal Number 4645
 
16.6%
Dash Punctuation 586
 
2.1%
Uppercase Letter 6
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1691
 
10.0%
전 1535
 
9.0%
군 1204
 
7.1%
면 969
 
5.7%
도 702
 
4.1%
길 565
 
3.3%
안 540
 
3.2%
리 518
 
3.1%
로 489
 
2.9%
신 412
 
2.4%
Other values (279) 8344
49.2%
Decimal Number
ValueCountFrequency (%)
1 1029
22.2%
2 637
13.7%
3 482
10.4%
4 413
8.9%
5 395
 
8.5%
7 355
 
7.6%
8 346
 
7.4%
6 341
 
7.3%
0 325
 
7.0%
9 322
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
B 1
16.7%
I 1
16.7%
E 1
16.7%
Space Separator
ValueCountFrequency (%)
5739
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 586
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16969
60.7%
Common 10977
39.3%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1691
 
10.0%
전 1535
 
9.0%
군 1204
 
7.1%
면 969
 
5.7%
도 702
 
4.1%
길 565
 
3.3%
안 540
 
3.2%
리 518
 
3.1%
로 489
 
2.9%
신 412
 
2.4%
Other values (279) 8344
49.2%
Common
ValueCountFrequency (%)
5739
52.3%
1 1029
 
9.4%
2 637
 
5.8%
- 586
 
5.3%
3 482
 
4.4%
4 413
 
3.8%
5 395
 
3.6%
7 355
 
3.2%
8 346
 
3.2%
6 341
 
3.1%
Other values (6) 654
 
6.0%
Latin
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
B 1
16.7%
I 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16969
60.7%
ASCII 10983
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5739
52.3%
1 1029
 
9.4%
2 637
 
5.8%
- 586
 
5.3%
3 482
 
4.4%
4 413
 
3.8%
5 395
 
3.6%
7 355
 
3.2%
8 346
 
3.2%
6 341
 
3.1%
Other values (11) 660
 
6.0%
Hangul
ValueCountFrequency (%)
남 1691
 
10.0%
전 1535
 
9.0%
군 1204
 
7.1%
면 969
 
5.7%
도 702
 
4.1%
길 565
 
3.3%
안 540
 
3.2%
리 518
 
3.1%
로 489
 
2.9%
신 412
 
2.4%
Other values (279) 8344
49.2%

마을회관 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
803 
True
708 
ValueCountFrequency (%)
False 803
53.1%
True 708
46.9%
2023-12-12T10:35:18.326374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관광지 관리자 연락처
Text

MISSING 

Distinct621
Distinct (%)88.6%
Missing810
Missing (%)53.6%
Memory size11.9 KiB
2023-12-12T10:35:18.559538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.259629
Min length9

Characters and Unicode

Total characters8594
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique576 ?
Unique (%)82.2%

Sample

1st row061-240-3404
2nd row061-240-3404
3rd row061-240-3404
4th row061-240-3404
5th row061-240-3404
ValueCountFrequency (%)
061-450-5636 9
 
1.3%
061-530-5544 7
 
1.0%
061-240-3404 6
 
0.9%
061-533-0923 5
 
0.7%
061-550-5464 5
 
0.7%
061-542-0990 4
 
0.6%
061-535-9900 4
 
0.6%
061-544-0151 4
 
0.6%
061-844-3100 3
 
0.4%
061-350-5884 3
 
0.4%
Other values (608) 652
92.9%
2023-12-12T10:35:18.950355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1464
17.0%
- 1383
16.1%
1 1037
12.1%
6 1030
12.0%
5 835
9.7%
3 591
6.9%
4 566
 
6.6%
2 523
 
6.1%
7 476
 
5.5%
8 399
 
4.6%
Other values (4) 290
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7201
83.8%
Dash Punctuation 1383
 
16.1%
Space Separator 8
 
0.1%
Math Symbol 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1464
20.3%
1 1037
14.4%
6 1030
14.3%
5 835
11.6%
3 591
8.2%
4 566
 
7.9%
2 523
 
7.3%
7 476
 
6.6%
8 399
 
5.5%
9 280
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1383
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1464
17.0%
- 1383
16.1%
1 1037
12.1%
6 1030
12.0%
5 835
9.7%
3 591
6.9%
4 566
 
6.6%
2 523
 
6.1%
7 476
 
5.5%
8 399
 
4.6%
Other values (4) 290
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1464
17.0%
- 1383
16.1%
1 1037
12.1%
6 1030
12.0%
5 835
9.7%
3 591
6.9%
4 566
 
6.6%
2 523
 
6.1%
7 476
 
5.5%
8 399
 
4.6%
Other values (4) 290
 
3.4%

총 가구수
Real number (ℝ)

Distinct150
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3349.587
Minimum282
Maximum23777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T10:35:19.166324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum282
5-th percentile820
Q11440
median1964
Q32804
95-th percentile9743
Maximum23777
Range23495
Interquartile range (IQR)1364

Descriptive statistics

Standard deviation4271.0697
Coefficient of variation (CV)1.2751034
Kurtosis11.428056
Mean3349.587
Median Absolute Deviation (MAD)652
Skewness3.3143081
Sum5061226
Variance18242037
MonotonicityNot monotonic
2023-12-12T10:35:19.335116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
914 54
 
3.6%
2355 51
 
3.4%
1474 50
 
3.3%
8840 45
 
3.0%
2651 44
 
2.9%
1312 34
 
2.3%
3209 33
 
2.2%
2513 26
 
1.7%
1852 25
 
1.7%
2804 25
 
1.7%
Other values (140) 1124
74.4%
ValueCountFrequency (%)
282 7
 
0.5%
485 6
 
0.4%
497 3
 
0.2%
541 8
 
0.5%
602 7
 
0.5%
608 2
 
0.1%
686 22
1.5%
768 11
0.7%
771 1
 
0.1%
809 4
 
0.3%
ValueCountFrequency (%)
23777 24
1.6%
23715 3
 
0.2%
22011 14
0.9%
17063 4
 
0.3%
16140 15
1.0%
13859 15
1.0%
9743 14
0.9%
9643 9
 
0.6%
8957 2
 
0.1%
8881 1
 
0.1%

지역특성
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
도서
798 
육지
713 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도서 798
52.8%
육지 713
47.2%

Length

2023-12-12T10:35:19.486931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:19.623130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도서 798
52.8%
육지 713
47.2%

화장실 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1045 
False
466 
ValueCountFrequency (%)
True 1045
69.2%
False 466
30.8%
2023-12-12T10:35:19.750528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

샤워장 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1193 
True
318 
ValueCountFrequency (%)
False 1193
79.0%
True 318
 
21.0%
2023-12-12T10:35:19.878952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음용수시설 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1185 
True
326 
ValueCountFrequency (%)
False 1185
78.4%
True 326
 
21.6%
2023-12-12T10:35:19.989274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
999 
False
512 
ValueCountFrequency (%)
True 999
66.1%
False 512
33.9%
2023-12-12T10:35:20.095999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정자 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
992 
True
519 
ValueCountFrequency (%)
False 992
65.7%
True 519
34.3%
2023-12-12T10:35:20.199510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

팔각정 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1306 
True
205 
ValueCountFrequency (%)
False 1306
86.4%
True 205
 
13.6%
2023-12-12T10:35:20.307636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

벤치 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
779 
True
732 
ValueCountFrequency (%)
False 779
51.6%
True 732
48.4%
2023-12-12T10:35:20.397697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴게소 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1418 
True
 
93
ValueCountFrequency (%)
False 1418
93.8%
True 93
 
6.2%
2023-12-12T10:35:20.491238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

졸음쉼터 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1502 
True
 
9
ValueCountFrequency (%)
False 1502
99.4%
True 9
 
0.6%
2023-12-12T10:35:20.581815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대여시설 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1372 
True
139 
ValueCountFrequency (%)
False 1372
90.8%
True 139
 
9.2%
2023-12-12T10:35:20.671749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공원 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1025 
True
486 
ValueCountFrequency (%)
False 1025
67.8%
True 486
32.2%
2023-12-12T10:35:20.778268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식점 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
863 
False
648 
ValueCountFrequency (%)
True 863
57.1%
False 648
42.9%
2023-12-12T10:35:20.882303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

카페 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
775 
True
736 
ValueCountFrequency (%)
False 775
51.3%
True 736
48.7%
2023-12-12T10:35:20.977773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

편의점 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1095 
True
416 
ValueCountFrequency (%)
False 1095
72.5%
True 416
 
27.5%
2023-12-12T10:35:21.082275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

슈퍼 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
956 
True
555 
ValueCountFrequency (%)
False 956
63.3%
True 555
36.7%
2023-12-12T10:35:21.206226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기념품점 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1470 
True
 
41
ValueCountFrequency (%)
False 1470
97.3%
True 41
 
2.7%
2023-12-12T10:35:21.300070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자판기 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1425 
True
 
86
ValueCountFrequency (%)
False 1425
94.3%
True 86
 
5.7%
2023-12-12T10:35:21.428812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

호텔
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37789543
Minimum0
Maximum13
Zeros1301
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T10:35:21.537394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3923209
Coefficient of variation (CV)3.6844078
Kurtosis34.180337
Mean0.37789543
Median Absolute Deviation (MAD)0
Skewness5.4637864
Sum571
Variance1.9385574
MonotonicityNot monotonic
2023-12-12T10:35:21.661578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1301
86.1%
1 111
 
7.3%
2 31
 
2.1%
3 18
 
1.2%
4 12
 
0.8%
5 10
 
0.7%
11 9
 
0.6%
6 7
 
0.5%
9 5
 
0.3%
7 5
 
0.3%
Other values (2) 2
 
0.1%
ValueCountFrequency (%)
0 1301
86.1%
1 111
 
7.3%
2 31
 
2.1%
3 18
 
1.2%
4 12
 
0.8%
5 10
 
0.7%
6 7
 
0.5%
7 5
 
0.3%
9 5
 
0.3%
11 9
 
0.6%
ValueCountFrequency (%)
13 1
 
0.1%
12 1
 
0.1%
11 9
 
0.6%
9 5
 
0.3%
7 5
 
0.3%
6 7
 
0.5%
5 10
 
0.7%
4 12
 
0.8%
3 18
1.2%
2 31
2.1%

모텔
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3150232
Minimum0
Maximum38
Zeros1231
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T10:35:21.807650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5347845
Coefficient of variation (CV)3.4484446
Kurtosis28.601814
Mean1.3150232
Median Absolute Deviation (MAD)0
Skewness5.0170847
Sum1987
Variance20.564271
MonotonicityNot monotonic
2023-12-12T10:35:21.985960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 1231
81.5%
1 63
 
4.2%
2 55
 
3.6%
3 24
 
1.6%
5 21
 
1.4%
6 15
 
1.0%
4 12
 
0.8%
8 9
 
0.6%
11 9
 
0.6%
13 8
 
0.5%
Other values (24) 64
 
4.2%
ValueCountFrequency (%)
0 1231
81.5%
1 63
 
4.2%
2 55
 
3.6%
3 24
 
1.6%
4 12
 
0.8%
5 21
 
1.4%
6 15
 
1.0%
7 8
 
0.5%
8 9
 
0.6%
9 5
 
0.3%
ValueCountFrequency (%)
38 1
 
0.1%
37 2
0.1%
36 1
 
0.1%
35 1
 
0.1%
34 3
0.2%
33 2
0.1%
32 2
0.1%
29 1
 
0.1%
28 1
 
0.1%
27 2
0.1%

여관
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24420913
Minimum0
Maximum42
Zeros1411
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T10:35:22.143318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6027474
Coefficient of variation (CV)6.5630117
Kurtosis333.15567
Mean0.24420913
Median Absolute Deviation (MAD)0
Skewness15.231534
Sum369
Variance2.5687992
MonotonicityNot monotonic
2023-12-12T10:35:22.293584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1411
93.4%
1 44
 
2.9%
2 14
 
0.9%
4 11
 
0.7%
5 8
 
0.5%
6 7
 
0.5%
3 5
 
0.3%
13 2
 
0.1%
8 2
 
0.1%
10 2
 
0.1%
Other values (5) 5
 
0.3%
ValueCountFrequency (%)
0 1411
93.4%
1 44
 
2.9%
2 14
 
0.9%
3 5
 
0.3%
4 11
 
0.7%
5 8
 
0.5%
6 7
 
0.5%
7 1
 
0.1%
8 2
 
0.1%
10 2
 
0.1%
ValueCountFrequency (%)
42 1
 
0.1%
20 1
 
0.1%
14 1
 
0.1%
13 2
 
0.1%
11 1
 
0.1%
10 2
 
0.1%
8 2
 
0.1%
7 1
 
0.1%
6 7
0.5%
5 8
0.5%

펜션
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9238915
Minimum0
Maximum30
Zeros846
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T10:35:22.459199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9.5
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.2110111
Coefficient of variation (CV)2.1887987
Kurtosis14.846476
Mean1.9238915
Median Absolute Deviation (MAD)0
Skewness3.5880325
Sum2907
Variance17.732614
MonotonicityNot monotonic
2023-12-12T10:35:22.603287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 846
56.0%
1 265
 
17.5%
2 113
 
7.5%
3 58
 
3.8%
5 40
 
2.6%
7 30
 
2.0%
6 29
 
1.9%
4 27
 
1.8%
9 14
 
0.9%
8 13
 
0.9%
Other values (15) 76
 
5.0%
ValueCountFrequency (%)
0 846
56.0%
1 265
 
17.5%
2 113
 
7.5%
3 58
 
3.8%
4 27
 
1.8%
5 40
 
2.6%
6 29
 
1.9%
7 30
 
2.0%
8 13
 
0.9%
9 14
 
0.9%
ValueCountFrequency (%)
30 3
 
0.2%
28 6
0.4%
23 5
0.3%
21 2
 
0.1%
20 7
0.5%
19 3
 
0.2%
18 5
0.3%
17 8
0.5%
16 9
0.6%
15 4
0.3%

민박
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1230973
Minimum0
Maximum30
Zeros1034
Zeros (%)68.4%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T10:35:22.767292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0380701
Coefficient of variation (CV)2.7050819
Kurtosis36.351601
Mean1.1230973
Median Absolute Deviation (MAD)0
Skewness5.2229836
Sum1697
Variance9.2298701
MonotonicityNot monotonic
2023-12-12T10:35:22.923665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 1034
68.4%
1 217
 
14.4%
2 83
 
5.5%
4 38
 
2.5%
3 32
 
2.1%
6 21
 
1.4%
8 19
 
1.3%
5 14
 
0.9%
10 11
 
0.7%
7 8
 
0.5%
Other values (12) 34
 
2.3%
ValueCountFrequency (%)
0 1034
68.4%
1 217
 
14.4%
2 83
 
5.5%
3 32
 
2.1%
4 38
 
2.5%
5 14
 
0.9%
6 21
 
1.4%
7 8
 
0.5%
8 19
 
1.3%
9 5
 
0.3%
ValueCountFrequency (%)
30 5
0.3%
26 1
 
0.1%
23 1
 
0.1%
22 1
 
0.1%
17 3
0.2%
16 3
0.2%
15 1
 
0.1%
14 2
 
0.1%
13 5
0.3%
12 2
 
0.1%

캠핑장 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1294 
True
217 
ValueCountFrequency (%)
False 1294
85.6%
True 217
 
14.4%
2023-12-12T10:35:23.059656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

오토캠핑 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1394 
True
 
117
ValueCountFrequency (%)
False 1394
92.3%
True 117
 
7.7%
2023-12-12T10:35:23.180124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자연자원 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1244 
True
267 
ValueCountFrequency (%)
False 1244
82.3%
True 267
 
17.7%
2023-12-12T10:35:23.310219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

역사자원 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1393 
True
 
118
ValueCountFrequency (%)
False 1393
92.2%
True 118
 
7.8%
2023-12-12T10:35:23.414035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관광안내소 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1353 
True
158 
ValueCountFrequency (%)
False 1353
89.5%
True 158
 
10.5%
2023-12-12T10:35:23.532635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상징물 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1331 
True
180 
ValueCountFrequency (%)
False 1331
88.1%
True 180
 
11.9%
2023-12-12T10:35:23.647105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

체험프로그램 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1233 
True
278 
ValueCountFrequency (%)
False 1233
81.6%
True 278
 
18.4%
2023-12-12T10:35:23.751056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

해설사 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1479 
True
 
32
ValueCountFrequency (%)
False 1479
97.9%
True 32
 
2.1%
2023-12-12T10:35:23.881027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

둘레길 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1145 
True
366 
ValueCountFrequency (%)
False 1145
75.8%
True 366
 
24.2%
2023-12-12T10:35:23.979808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등산로 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1377 
True
 
134
ValueCountFrequency (%)
False 1377
91.1%
True 134
 
8.9%
2023-12-12T10:35:24.113219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일출뷰 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1435 
True
 
76
ValueCountFrequency (%)
False 1435
95.0%
True 76
 
5.0%
2023-12-12T10:35:24.246161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일몰뷰 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1340 
True
171 
ValueCountFrequency (%)
False 1340
88.7%
True 171
 
11.3%
2023-12-12T10:35:24.338507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특산물 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1447 
True
 
64
ValueCountFrequency (%)
False 1447
95.8%
True 64
 
4.2%
2023-12-12T10:35:24.444888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

입장료 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1357 
True
154 
ValueCountFrequency (%)
False 1357
89.8%
True 154
 
10.2%
2023-12-12T10:35:24.562813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

해변 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1080 
True
431 
ValueCountFrequency (%)
False 1080
71.5%
True 431
 
28.5%
2023-12-12T10:35:24.674721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

스토리텔링 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1453 
True
 
58
ValueCountFrequency (%)
False 1453
96.2%
True 58
 
3.8%
2023-12-12T10:35:24.771412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시장 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1406 
True
 
105
ValueCountFrequency (%)
False 1406
93.1%
True 105
 
6.9%
2023-12-12T10:35:24.883146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

촬영지 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1406 
True
 
105
ValueCountFrequency (%)
False 1406
93.1%
True 105
 
6.9%
2023-12-12T10:35:24.994354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전시관 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1282 
True
229 
ValueCountFrequency (%)
False 1282
84.8%
True 229
 
15.2%
2023-12-12T10:35:25.123649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공연장 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1409 
True
 
102
ValueCountFrequency (%)
False 1409
93.2%
True 102
 
6.8%
2023-12-12T10:35:25.236449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

박물관 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1405 
True
 
106
ValueCountFrequency (%)
False 1405
93.0%
True 106
 
7.0%
2023-12-12T10:35:25.339450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주유소 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1337 
True
174 
ValueCountFrequency (%)
False 1337
88.5%
True 174
 
11.5%
2023-12-12T10:35:25.453732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

LPG충전소 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1488 
True
 
23
ValueCountFrequency (%)
False 1488
98.5%
True 23
 
1.5%
2023-12-12T10:35:25.560376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기차충전소 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1208 
True
303 
ValueCountFrequency (%)
False 1208
79.9%
True 303
 
20.1%
2023-12-12T10:35:25.658854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방파제 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1025 
True
486 
ValueCountFrequency (%)
False 1025
67.8%
True 486
32.2%
2023-12-12T10:35:25.746235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등대 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1432 
True
 
79
ValueCountFrequency (%)
False 1432
94.8%
True 79
 
5.2%
2023-12-12T10:35:25.841110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

선창 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
811 
True
700 
ValueCountFrequency (%)
False 811
53.7%
True 700
46.3%
2023-12-12T10:35:25.947456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

낚시배 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1346 
True
165 
ValueCountFrequency (%)
False 1346
89.1%
True 165
 
10.9%
2023-12-12T10:35:26.355269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

낚시터 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1424 
True
 
87
ValueCountFrequency (%)
False 1424
94.2%
True 87
 
5.8%
2023-12-12T10:35:26.456193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

운동시설 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1300 
True
211 
ValueCountFrequency (%)
False 1300
86.0%
True 211
 
14.0%
2023-12-12T10:35:26.565508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

샵 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1469 
True
 
42
ValueCountFrequency (%)
False 1469
97.2%
True 42
 
2.8%
2023-12-12T10:35:26.705076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수상스포츠 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1467 
True
 
44
ValueCountFrequency (%)
False 1467
97.1%
True 44
 
2.9%
2023-12-12T10:35:26.819543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제세동기 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1498 
True
 
13
ValueCountFrequency (%)
False 1498
99.1%
True 13
 
0.9%
2023-12-12T10:35:26.926186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

구명환 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1397 
True
 
114
ValueCountFrequency (%)
False 1397
92.5%
True 114
 
7.5%
2023-12-12T10:35:27.049470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

긴급전화시설 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1493 
True
 
18
ValueCountFrequency (%)
False 1493
98.8%
True 18
 
1.2%
2023-12-12T10:35:27.237554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보건소 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1342 
True
169 
ValueCountFrequency (%)
False 1342
88.8%
True 169
 
11.2%
2023-12-12T10:35:27.379786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

약국 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1346 
True
165 
ValueCountFrequency (%)
False 1346
89.1%
True 165
 
10.9%
2023-12-12T10:35:27.494942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

이동진료소 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1502 
True
 
9
ValueCountFrequency (%)
False 1502
99.4%
True 9
 
0.6%
2023-12-12T10:35:27.633049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

병의원 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1338 
True
173 
ValueCountFrequency (%)
False 1338
88.6%
True 173
 
11.4%
2023-12-12T10:35:27.749853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

버스정류장 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
756 
True
755 
ValueCountFrequency (%)
False 756
50.0%
True 755
50.0%
2023-12-12T10:35:27.916128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

택시승강장 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1478 
True
 
33
ValueCountFrequency (%)
False 1478
97.8%
True 33
 
2.2%
2023-12-12T10:35:28.051851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

여객선터미널 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1370 
True
141 
ValueCountFrequency (%)
False 1370
90.7%
True 141
 
9.3%
2023-12-12T10:35:28.167940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

연륙교 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1318 
True
193 
ValueCountFrequency (%)
False 1318
87.2%
True 193
 
12.8%
2023-12-12T10:35:28.262622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

연도교 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1279 
True
232 
ValueCountFrequency (%)
False 1279
84.6%
True 232
 
15.4%
2023-12-12T10:35:28.384902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

차량집입 여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1327 
False
184 
ValueCountFrequency (%)
True 1327
87.8%
False 184
 
12.2%
2023-12-12T10:35:28.524516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

농로이용 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1199 
True
312 
ValueCountFrequency (%)
False 1199
79.4%
True 312
 
20.6%
2023-12-12T10:35:28.640355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

서해랑길 코스
Categorical

IMBALANCE 

Distinct22
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
<NA>
1466 
39
 
9
17
 
6
18코스
 
6
32코스
 
3
Other values (17)
 
21

Length

Max length9
Median length4
Mean length3.9748511
Min length1

Unique

Unique14 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1466
97.0%
39 9
 
0.6%
17 6
 
0.4%
18코스 6
 
0.4%
32코스 3
 
0.2%
24코스 3
 
0.2%
39코스 2
 
0.1%
38 2
 
0.1%
12코스 1
 
0.1%
서해랑길24코스 1
 
0.1%
Other values (12) 12
 
0.8%

Length

2023-12-12T10:35:28.786825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1466
97.0%
39 9
 
0.6%
17 6
 
0.4%
18코스 6
 
0.4%
32코스 4
 
0.3%
24코스 3
 
0.2%
39코스 2
 
0.1%
38 2
 
0.1%
9코스 1
 
0.1%
14 1
 
0.1%
Other values (12) 12
 
0.8%

남파랑길 코스
Categorical

IMBALANCE 

Distinct15
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
<NA>
1466 
54
 
13
78코스
 
12
79
 
3
78
 
3
Other values (10)
 
14

Length

Max length9
Median length4
Mean length3.9808074
Min length2

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1466
97.0%
54 13
 
0.9%
78코스 12
 
0.8%
79 3
 
0.2%
78 3
 
0.2%
81코스 2
 
0.1%
55코스 2
 
0.1%
54코스 2
 
0.1%
86코스 2
 
0.1%
84코스 1
 
0.1%
Other values (5) 5
 
0.3%

Length

2023-12-12T10:35:29.007963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1466
97.0%
54 13
 
0.9%
78코스 12
 
0.8%
79 3
 
0.2%
78 3
 
0.2%
81코스 2
 
0.1%
55코스 2
 
0.1%
54코스 2
 
0.1%
86코스 2
 
0.1%
84코스 1
 
0.1%
Other values (6) 6
 
0.4%

해안누리길 코스
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1509
Missing (%)99.9%
Memory size11.9 KiB
2023-12-12T10:35:29.158790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row14코스
2nd row18코스
ValueCountFrequency (%)
14코스 1
50.0%
18코스 1
50.0%
2023-12-12T10:35:29.485034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
25.0%
코 2
25.0%
스 2
25.0%
4 1
12.5%
8 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
50.0%
Other Letter 4
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
8 1
25.0%
Other Letter
ValueCountFrequency (%)
코 2
50.0%
스 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4
50.0%
Hangul 4
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
8 1
25.0%
Hangul
ValueCountFrequency (%)
코 2
50.0%
스 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4
50.0%
Hangul 4
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
8 1
25.0%
Hangul
ValueCountFrequency (%)
코 2
50.0%
스 2
50.0%

자전거도로 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1441 
True
 
70
ValueCountFrequency (%)
False 1441
95.4%
True 70
 
4.6%
2023-12-12T10:35:29.631084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

춘분 일출
Categorical

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
06:37
348 
06:41
306 
06:32
213 
06:36
203 
06:00
129 
Other values (5)
312 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row06:41
2nd row06:41
3rd row06:41
4th row06:41
5th row06:41

Common Values

ValueCountFrequency (%)
06:37 348
23.0%
06:41 306
20.3%
06:32 213
14.1%
06:36 203
13.4%
06:00 129
 
8.5%
06:34 99
 
6.6%
06:35 80
 
5.3%
06:38 64
 
4.2%
05:54 48
 
3.2%
06:33 21
 
1.4%

Length

2023-12-12T10:35:29.745003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:29.926708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06:37 348
23.0%
06:41 306
20.3%
06:32 213
14.1%
06:36 203
13.4%
06:00 129
 
8.5%
06:34 99
 
6.6%
06:35 80
 
5.3%
06:38 64
 
4.2%
05:54 48
 
3.2%
06:33 21
 
1.4%

춘분 일몰
Categorical

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
18:50
306 
18:46
253 
18:41
213 
18:45
203 
18:47
159 
Other values (5)
377 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:50
2nd row18:50
3rd row18:50
4th row18:50
5th row18:50

Common Values

ValueCountFrequency (%)
18:50 306
20.3%
18:46 253
16.7%
18:41 213
14.1%
18:45 203
13.4%
18:47 159
10.5%
19:16 129
8.5%
18:43 99
 
6.6%
18:44 80
 
5.3%
19:11 48
 
3.2%
18:42 21
 
1.4%

Length

2023-12-12T10:35:30.153087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:30.306109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:50 306
20.3%
18:46 253
16.7%
18:41 213
14.1%
18:45 203
13.4%
18:47 159
10.5%
19:16 129
8.5%
18:43 99
 
6.6%
18:44 80
 
5.3%
19:11 48
 
3.2%
18:42 21
 
1.4%

하지 일출
Categorical

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
05:21
375 
05:25
306 
05:16
261 
05:36
149 
05:23
129 
Other values (4)
291 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row05:25
2nd row05:25
3rd row05:25
4th row05:25
5th row05:25

Common Values

ValueCountFrequency (%)
05:21 375
24.8%
05:25 306
20.3%
05:16 261
17.3%
05:36 149
 
9.9%
05:23 129
 
8.5%
05:20 128
 
8.5%
05:18 99
 
6.6%
05:19 43
 
2.8%
05:17 21
 
1.4%

Length

2023-12-12T10:35:30.487923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:30.663018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05:21 375
24.8%
05:25 306
20.3%
05:16 261
17.3%
05:36 149
 
9.9%
05:23 129
 
8.5%
05:20 128
 
8.5%
05:18 99
 
6.6%
05:19 43
 
2.8%
05:17 21
 
1.4%

하지 일몰
Categorical

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
19:55
306 
19:46
261 
19:48
246 
19:51
224 
19:52
155 
Other values (4)
319 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19:55
2nd row19:55
3rd row19:55
4th row19:55
5th row19:55

Common Values

ValueCountFrequency (%)
19:55 306
20.3%
19:46 261
17.3%
19:48 246
16.3%
19:51 224
14.8%
19:52 155
10.3%
19:44 149
9.9%
19:47 120
 
7.9%
19:49 37
 
2.4%
19:50 13
 
0.9%

Length

2023-12-12T10:35:30.843737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:31.003241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19:55 306
20.3%
19:46 261
17.3%
19:48 246
16.3%
19:51 224
14.8%
19:52 155
10.3%
19:44 149
9.9%
19:47 120
 
7.9%
19:49 37
 
2.4%
19:50 13
 
0.9%

추분 일출
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
06:27
306 
06:23
288 
06:18
261 
06:22
253 
06:21
240 
Other values (2)
163 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row06:27
2nd row06:27
3rd row06:27
4th row06:27
5th row06:27

Common Values

ValueCountFrequency (%)
06:27 306
20.3%
06:23 288
19.1%
06:18 261
17.3%
06:22 253
16.7%
06:21 240
15.9%
06:19 120
 
7.9%
06:20 43
 
2.8%

Length

2023-12-12T10:35:31.168747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:31.327780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06:27 306
20.3%
06:23 288
19.1%
06:18 261
17.3%
06:22 253
16.7%
06:21 240
15.9%
06:19 120
 
7.9%
06:20 43
 
2.8%

추분 일몰
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
18:29
365 
18:34
306 
18:25
261 
18:31
193 
18:30
186 
Other values (3)
200 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18:34
2nd row18:34
3rd row18:34
4th row18:34
5th row18:34

Common Values

ValueCountFrequency (%)
18:29 365
24.2%
18:34 306
20.3%
18:25 261
17.3%
18:31 193
12.8%
18:30 186
12.3%
18:27 142
 
9.4%
18:28 37
 
2.4%
18:26 21
 
1.4%

Length

2023-12-12T10:35:31.534784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:31.709448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18:29 365
24.2%
18:34 306
20.3%
18:25 261
17.3%
18:31 193
12.8%
18:30 186
12.3%
18:27 142
 
9.4%
18:28 37
 
2.4%
18:26 21
 
1.4%

동지 일출
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
07:42
306 
07:33
261 
07:35
246 
07:38
224 
07:37
162 
Other values (3)
312 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07:42
2nd row07:42
3rd row07:42
4th row07:42
5th row07:42

Common Values

ValueCountFrequency (%)
07:42 306
20.3%
07:33 261
17.3%
07:35 246
16.3%
07:38 224
14.8%
07:37 162
10.7%
07:39 155
10.3%
07:34 120
 
7.9%
07:36 37
 
2.4%

Length

2023-12-12T10:35:31.883226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:32.040999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07:42 306
20.3%
07:33 261
17.3%
07:35 246
16.3%
07:38 224
14.8%
07:37 162
10.7%
07:39 155
10.3%
07:34 120
 
7.9%
07:36 37
 
2.4%

동지 일몰
Categorical

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
17:27
429 
17:32
306 
17:23
234 
17:29
129 
17:26
128 
Other values (4)
285 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17:32
2nd row17:32
3rd row17:32
4th row17:32
5th row17:32

Common Values

ValueCountFrequency (%)
17:27 429
28.4%
17:32 306
20.3%
17:23 234
15.5%
17:29 129
 
8.5%
17:26 128
 
8.5%
17:24 99
 
6.6%
17:28 95
 
6.3%
17:22 48
 
3.2%
17:25 43
 
2.8%

Length

2023-12-12T10:35:32.222897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:35:32.414124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17:27 429
28.4%
17:32 306
20.3%
17:23 234
15.5%
17:29 129
 
8.5%
17:26 128
 
8.5%
17:24 99
 
6.6%
17:28 95
 
6.3%
17:22 48
 
3.2%
17:25 43
 
2.8%

초교 유무
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1294 
True
217 
ValueCountFrequency (%)
False 1294
85.6%
True 217
 
14.4%
2023-12-12T10:35:32.580019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

중교 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1412 
True
 
99
ValueCountFrequency (%)
False 1412
93.4%
True 99
 
6.6%
2023-12-12T10:35:32.713170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고교 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1457 
True
 
54
ValueCountFrequency (%)
False 1457
96.4%
True 54
 
3.6%
2023-12-12T10:35:32.817669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

유치원 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1383 
True
 
128
ValueCountFrequency (%)
False 1383
91.5%
True 128
 
8.5%
2023-12-12T10:35:32.960312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보육시설 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1401 
True
 
110
ValueCountFrequency (%)
False 1401
92.7%
True 110
 
7.3%
2023-12-12T10:35:33.087609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

관리번호장소명카테고리명시군읍면동리도로명주소마을회관 유무관광지 관리자 연락처총 가구수지역특성화장실 유무샤워장 유무음용수시설 유무주차장 유무정자 유무팔각정 유무벤치 유무휴게소 유무졸음쉼터 유무대여시설 유무공원 유무음식점 유무카페 유무편의점 유무슈퍼 유무기념품점 유무자판기 유무호텔모텔여관펜션민박캠핑장 유무오토캠핑 유무자연자원 유무역사자원 유무관광안내소 유무상징물 유무체험프로그램 유무해설사 유무둘레길 유무등산로 유무일출뷰 유무일몰뷰 유무특산물 유무입장료 유무해변 유무스토리텔링 유무시장 유무촬영지 유무전시관 유무공연장 유무박물관 유무주유소 유무LPG충전소 유무전기차충전소 유무방파제 유무등대 유무선창 유무낚시배 유무낚시터 유무운동시설 유무샵 유무수상스포츠 유무제세동기 유무구명환 유무긴급전화시설 유무보건소 유무약국 유무이동진료소 유무병의원 유무버스정류장 유무택시승강장 유무여객선터미널 유무연륙교 유무연도교 유무차량집입 여부농로이용 유무서해랑길 코스남파랑길 코스해안누리길 코스자전거도로 유무춘분 일출춘분 일몰하지 일출하지 일몰추분 일출추분 일몰동지 일출동지 일몰초교 유무중교 유무고교 유무유치원 유무보육시설 유무
012용난굴자연자원신안군임자면이흑암리전남 신안군 임자면 이흑암리 1463-7Y061-240-34041440도서NNNNNNNNNNNNNNNNN00001NNNNNNNNNNNNNNYNNNNNNNNNNNYNNNNNNNNNNNNNNNNNNY<NA><NA><NA>N06:4118:5005:2519:5506:2718:3407:4217:32NNNNN
113어머리해변해변신안군임자면이흑암리전남 신안군 임자면 이흑암리 1463-7Y061-240-34041440도서NNNNNNNNNNNNNNNNN00001NNNNNNNNNNNNNNYNNNNNNNNNNNYNNNNNNNNNNNNNNNNNNY<NA><NA><NA>N06:4118:5005:2519:5506:2718:3407:4217:32NNNNN
214하우리항항신안군임자면광산리전남 신안군 임자면 독우길 208-19Y061-240-34041440도서YNNNYNNNNNNYYNNNN00002NNNNNNYNNNNNYNNNNNNNNNNNYNYYNNNNNNNNNNNYNNNNYN<NA><NA><NA>N06:4118:5005:2519:5506:2718:3407:4217:32NNNNN
315대광해수욕장해수욕장신안군임자면대기리전남 신안군 임자면 대광해수욕장길 179Y061-240-34041440도서YYYYYYYNNNYYYYYNN04026NNNNNYYYNNNNNNYNNNYYNNNYNNNNNYNNNNNNNNNYNNNNYN<NA><NA><NA>N06:4118:5005:2519:5506:2718:3407:4217:32NNNNN
416신안튤립공원공원신안군임자면대기리전남 신안군 임자면 대광해수욕장길 172-7Y061-240-34041440도서YNNYYNYNNNYYYYNNN04026NNNNNYNNNNNNNYYNNNYYNNNNNNNNNYNNNNNNNNNYNNNNYN<NA><NA><NA>N06:4118:5005:2519:5506:2718:3407:4217:32NNNNN
517전장포항항신안군임자면도찬리전남 신안군 임자면 전장포길 908Y061-240-34041440도서YNNYYYNNNNNYNYYYN00000NNNNNNNNNNNNYNNNNNNNNNNNYNYNNYNNNYNNNNNYNNNNYN<NA><NA><NA>N06:4118:5005:2519:5506:2718:3407:4217:32NNNNN
618한마음공원공원영광군홍농읍성산리전남 영광군 홍농읍 홍농로 846Y061-357-38043441육지YNNYYYYNNNYYNNNNN00000NNYYNNNNNNNNNNNNNNYYNNNYYNNNNYNNNNNNNNNYNNNNYY<NA><NA><NA>N06:3718:4605:2019:5206:2218:3007:3917:26YNNNY
719가마미해수욕장해수욕장영광군홍농읍계마리전남 영광군 홍농읍 가마미로 341-6Y061-350-58903441육지YYYYYNNNNYNYNYYNN00048YNNNYNNYNNYYYNYNNNNNNNNNYYYNNYNNNYYNNYNYNNNNYN<NA><NA><NA>N06:3718:4605:2019:5206:2218:3007:3917:26NNNNN
820계마항항영광군홍농읍계마리전남 영광군 홍농읍 계마길 31-59Y061-353-37013441육지YNNYNNNNNNNYNNNNN00013NNNNNNNNNNNNNNNNNNNNNNNNYYYYNYYNNYNNNNNNNNNNYN<NA><NA><NA>N06:3718:4605:2019:5206:2218:3007:3917:26NNNNN
921백제불교최초도래지역사자원영광군법성면진내리전남 영광군 법성면 백제문화로 203Y061-356-80962726육지YNYYYYYNNNNYYYYYY00000NNYNNYYYNYNNNNNNNNNNNNNYYNYNNNNNNNNNNNNYNNNNYN<NA><NA><NA>N06:3718:4605:2019:5206:2218:3007:3917:26NNNNN
관리번호장소명카테고리명시군읍면동리도로명주소마을회관 유무관광지 관리자 연락처총 가구수지역특성화장실 유무샤워장 유무음용수시설 유무주차장 유무정자 유무팔각정 유무벤치 유무휴게소 유무졸음쉼터 유무대여시설 유무공원 유무음식점 유무카페 유무편의점 유무슈퍼 유무기념품점 유무자판기 유무호텔모텔여관펜션민박캠핑장 유무오토캠핑 유무자연자원 유무역사자원 유무관광안내소 유무상징물 유무체험프로그램 유무해설사 유무둘레길 유무등산로 유무일출뷰 유무일몰뷰 유무특산물 유무입장료 유무해변 유무스토리텔링 유무시장 유무촬영지 유무전시관 유무공연장 유무박물관 유무주유소 유무LPG충전소 유무전기차충전소 유무방파제 유무등대 유무선창 유무낚시배 유무낚시터 유무운동시설 유무샵 유무수상스포츠 유무제세동기 유무구명환 유무긴급전화시설 유무보건소 유무약국 유무이동진료소 유무병의원 유무버스정류장 유무택시승강장 유무여객선터미널 유무연륙교 유무연도교 유무차량집입 여부농로이용 유무서해랑길 코스남파랑길 코스해안누리길 코스자전거도로 유무춘분 일출춘분 일몰하지 일출하지 일몰추분 일출추분 일몰동지 일출동지 일몰초교 유무중교 유무고교 유무유치원 유무보육시설 유무
15011513해변펜션펜션완도군신지면신리전남 완도군 신지면 명사십리길 82N061-555-06321852도서YYYYNNYNNNNYYYYNN010198NNNNNNNNYNNNNNYNNNNNNNNYNNNNNNNNNNNNNNNYNNNYYN<NA><NA><NA>N06:3618:4505:2119:4806:2118:2907:3517:27NNNNN
15021514파라다이스카페영광군백수읍백암리전남 영광군 백수읍 해안로 699N<NA>2651육지YNNYNNNNNNNYYYNNN00050YYNNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNNNYN<NA><NA><NA>N06:3718:4605:2019:5206:2218:3007:3917:26NNNNN
15031515백야선착장여객선터미널여수시화정면백야리전남 여수시 화정면 백야해안길 73N061-686-6655820육지YNNYNNNYNNNYNNYNY00072NNNNYNNNNNNNNNNNNNNNNNNNYNYNNNNNNNNYNNNYNYYNYN<NA><NA><NA>N06:3218:4105:1619:4606:1818:2507:3317:23YNNNN
15041516카페놀터카페순천시해룡면선학리전남 순천시 해룡면 해룡로 683 1층N<NA>22011육지YNNYNNNNNNNYYNNNN00010NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNNNYN<NA><NA><NA>N06:3318:4205:1719:4706:1918:2607:3417:23NNNNN
15051517섬마을이야기카페여수시화정면백야리전남 여수시 화정면 백야해안길 73N061-654-9177820육지NNNNNNNYNNNYYNYNY00072NNNNYNNNNNNNNNNNNNNNNNNNYNYNNNNNNNNYNNNYNYYNYN<NA><NA><NA>N06:3218:4105:1619:4606:1818:2507:3317:23YNNNN
15061518유달산장카페목포시온금동<NA>전남 목포시 유달로 119N0507-1313-59952513육지YNNYNNYYNNYYYYYNN050022NNYNNYYNYYYYNNNNYNYYYNNNNNNNNNNNNNNNYNYYNNNNNN<NA><NA><NA>N06:3718:4705:2119:5106:2318:3007:3817:28YYNYY
15071519유달산 옛수원지 암벽폭포공원목포시죽교동<NA>전남 목포시 죽교동 산 37-18N<NA>1750육지NNNNYNNNNNNYYYNNN10000NNYNNNNNYYNYNNYNNNNNNNNNYNYNNNNNNNNNNNNYNNNNNN<NA><NA><NA>N06:3718:4705:2119:5106:2318:3007:3817:28NNNNN
15081520목포해상케이블카 유달산승강장체험시설목포시온금동<NA>전남 목포시 온금동 6-13N061-244-26002513육지YNNNNNNYNNYYYNNNN00002NNNNNYYNNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNNNNN<NA><NA><NA>N06:3718:4705:2119:5106:2318:3007:3817:28YNNYN
15091521이난영 노래비상징물목포시온금동<NA>전남 목포시 유달로101번길 10N<NA>2513육지NNNNNNNYNNYYYYYNN020017NNNNNYYNYYNNNNNNNNYYYNNYNNNNNNNNNNNNYNYYNNNNNN<NA><NA><NA>N06:3718:4705:2119:5106:2318:3007:3817:28YYNYN
15101522완도 묘당도 이충무공 유적역사자원완도군고금면덕동리전남 목포시 고하도길 175Y061-550-54642352도서YNNYNNYNNNNNNNNNN00000NNNYNYNNNNNNNNNNNNNNNNNNNYYNNNNNNNNNNNNYNNNYYN<NA><NA><NA>N06:3618:4505:2119:4806:2118:2907:3517:27NNNNN