Overview

Dataset statistics

Number of variables4
Number of observations206
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory32.6 B

Variable types

Text3
Categorical1

Dataset

Description충청남도의 주요 관광지 정보입니다. 충남의 명산, 해변과 섬, 항과 포구, 강, 계곡, 호수, 캠핑체험 등 여러가지 테마의 충남 여행지입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=405&beforeMenuCd=DOM_000000201001001000&publicdatapk=15083016

Alerts

이름 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:23:52.334146
Analysis finished2024-01-09 21:23:52.773158
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이름
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T06:23:52.924329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.3058252
Min length2

Characters and Unicode

Total characters1093
Distinct characters269
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)100.0%

Sample

1st row광덕산
2nd row팔봉산
3rd row가야산(서산)
4th row황금산
5th row도비산
ValueCountFrequency (%)
광덕산 1
 
0.5%
동학사 1
 
0.5%
고암이응노생가기념관 1
 
0.5%
추사고택 1
 
0.5%
솔뫼성지 1
 
0.5%
보석사 1
 
0.5%
장곡사 1
 
0.5%
다락골줄무덤성지 1
 
0.5%
수덕사 1
 
0.5%
외암민속마을 1
 
0.5%
Other values (205) 205
95.3%
2024-01-10T06:23:53.225782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 48
 
4.4%
사 34
 
3.1%
관 30
 
2.7%
장 23
 
2.1%
지 23
 
2.1%
성 23
 
2.1%
원 19
 
1.7%
천 19
 
1.7%
리 18
 
1.6%
물 15
 
1.4%
Other values (259) 841
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1079
98.7%
Space Separator 9
 
0.8%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 48
 
4.4%
사 34
 
3.2%
관 30
 
2.8%
장 23
 
2.1%
지 23
 
2.1%
성 23
 
2.1%
원 19
 
1.8%
천 19
 
1.8%
리 18
 
1.7%
물 15
 
1.4%
Other values (255) 827
76.6%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1079
98.7%
Common 14
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 48
 
4.4%
사 34
 
3.2%
관 30
 
2.8%
장 23
 
2.1%
지 23
 
2.1%
성 23
 
2.1%
원 19
 
1.8%
천 19
 
1.8%
리 18
 
1.7%
물 15
 
1.4%
Other values (255) 827
76.6%
Common
ValueCountFrequency (%)
9
64.3%
( 2
 
14.3%
) 2
 
14.3%
, 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1079
98.7%
ASCII 14
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 48
 
4.4%
사 34
 
3.2%
관 30
 
2.8%
장 23
 
2.1%
지 23
 
2.1%
성 23
 
2.1%
원 19
 
1.8%
천 19
 
1.8%
리 18
 
1.7%
물 15
 
1.4%
Other values (255) 827
76.6%
ASCII
ValueCountFrequency (%)
9
64.3%
( 2
 
14.3%
) 2
 
14.3%
, 1
 
7.1%

카테고리
Categorical

Distinct12
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
전시/관람
39 
역사유적지
28 
종교/사찰/성지
25 
명산
19 
강/계곡/호수
15 
Other values (7)
80 

Length

Max length9
Median length8
Mean length5.2669903
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전시/관람 39
18.9%
역사유적지 28
13.6%
종교/사찰/성지 25
12.1%
명산 19
9.2%
강/계곡/호수 15
 
7.3%
휴양/온천 15
 
7.3%
캠핑/트레킹/체험 14
 
6.8%
풍경 14
 
6.8%
해변/섬 13
 
6.3%
특화관광지 9
 
4.4%
Other values (2) 15
 
7.3%

Length

2024-01-10T06:23:53.355460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전시/관람 39
18.9%
역사유적지 28
13.6%
종교/사찰/성지 25
12.1%
명산 19
9.2%
강/계곡/호수 15
 
7.3%
휴양/온천 15
 
7.3%
캠핑/트레킹/체험 14
 
6.8%
풍경 14
 
6.8%
해변/섬 13
 
6.3%
특화관광지 9
 
4.4%
Other values (2) 15
 
7.3%

전화번호
Text

Distinct183
Distinct (%)89.3%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-01-10T06:23:53.589200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length12
Mean length16.014634
Min length9

Characters and Unicode

Total characters3283
Distinct characters135
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)82.9%

Sample

1st row1577-6611
2nd row팔봉면사무소 041-660-3447
3rd row서산시청 문화관광과 041-660-3179
4th row삼길포관광안내소 041-662-0819
5th row부석면사무소 041-662-4001
ValueCountFrequency (%)
공주시 7
 
2.3%
1899-0088 6
 
1.9%
041-830-2511 5
 
1.6%
사무실 4
 
1.3%
부여고도문화사업소 4
 
1.3%
관광안내소 4
 
1.3%
041-751-2484 4
 
1.3%
041-339-7312 3
 
1.0%
금산군 3
 
1.0%
문화관광과 3
 
1.0%
Other values (236) 265
86.0%
2024-01-10T06:23:53.919369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 436
13.3%
0 433
13.2%
4 366
11.1%
1 343
10.4%
2 195
 
5.9%
3 177
 
5.4%
6 167
 
5.1%
5 162
 
4.9%
8 130
 
4.0%
7 128
 
3.9%
Other values (125) 746
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2220
67.6%
Other Letter 478
 
14.6%
Dash Punctuation 436
 
13.3%
Space Separator 124
 
3.8%
Other Punctuation 11
 
0.3%
Math Symbol 10
 
0.3%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 29
 
6.1%
관 27
 
5.6%
사 25
 
5.2%
산 20
 
4.2%
광 19
 
4.0%
무 17
 
3.6%
공 15
 
3.1%
안 15
 
3.1%
시 14
 
2.9%
군 12
 
2.5%
Other values (107) 285
59.6%
Decimal Number
ValueCountFrequency (%)
0 433
19.5%
4 366
16.5%
1 343
15.5%
2 195
8.8%
3 177
8.0%
6 167
 
7.5%
5 162
 
7.3%
8 130
 
5.9%
7 128
 
5.8%
9 119
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
/ 1
 
9.1%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
∼ 1
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 436
100.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2805
85.4%
Hangul 478
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 29
 
6.1%
관 27
 
5.6%
사 25
 
5.2%
산 20
 
4.2%
광 19
 
4.0%
무 17
 
3.6%
공 15
 
3.1%
안 15
 
3.1%
시 14
 
2.9%
군 12
 
2.5%
Other values (107) 285
59.6%
Common
ValueCountFrequency (%)
- 436
15.5%
0 433
15.4%
4 366
13.0%
1 343
12.2%
2 195
7.0%
3 177
6.3%
6 167
 
6.0%
5 162
 
5.8%
8 130
 
4.6%
7 128
 
4.6%
Other values (8) 268
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2804
85.4%
Hangul 478
 
14.6%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 436
15.5%
0 433
15.4%
4 366
13.1%
1 343
12.2%
2 195
7.0%
3 177
6.3%
6 167
 
6.0%
5 162
 
5.8%
8 130
 
4.6%
7 128
 
4.6%
Other values (7) 267
9.5%
Hangul
ValueCountFrequency (%)
소 29
 
6.1%
관 27
 
5.6%
사 25
 
5.2%
산 20
 
4.2%
광 19
 
4.0%
무 17
 
3.6%
공 15
 
3.1%
안 15
 
3.1%
시 14
 
2.9%
군 12
 
2.5%
Other values (107) 285
59.6%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

주소
Text

Distinct201
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-10T06:23:54.179006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length19.194175
Min length10

Characters and Unicode

Total characters3954
Distinct characters215
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)95.1%

Sample

1st row충남 천안시 동남구 광덕면 광덕사길 30
2nd row충남 서산시 팔봉면 양길리
3rd row충남 서산시 운산면 용현리
4th row충남 서산시 대산읍 독곳리
5th row충남 서산시 부석면 취평리
ValueCountFrequency (%)
충남 206
 
20.4%
공주시 24
 
2.4%
서산시 23
 
2.3%
홍성군 16
 
1.6%
보령시 16
 
1.6%
아산시 15
 
1.5%
서천군 14
 
1.4%
청양군 14
 
1.4%
천안시 14
 
1.4%
논산시 12
 
1.2%
Other values (448) 656
65.0%
2024-01-10T06:23:54.552206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
829
21.0%
남 233
 
5.9%
충 215
 
5.4%
면 154
 
3.9%
1 133
 
3.4%
산 130
 
3.3%
시 122
 
3.1%
로 99
 
2.5%
길 94
 
2.4%
2 93
 
2.4%
Other values (205) 1852
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2427
61.4%
Space Separator 829
 
21.0%
Decimal Number 634
 
16.0%
Dash Punctuation 64
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 233
 
9.6%
충 215
 
8.9%
면 154
 
6.3%
산 130
 
5.4%
시 122
 
5.0%
로 99
 
4.1%
길 94
 
3.9%
군 88
 
3.6%
서 58
 
2.4%
천 56
 
2.3%
Other values (193) 1178
48.5%
Decimal Number
ValueCountFrequency (%)
1 133
21.0%
2 93
14.7%
3 69
10.9%
5 60
9.5%
4 56
8.8%
6 54
8.5%
0 47
 
7.4%
7 45
 
7.1%
8 40
 
6.3%
9 37
 
5.8%
Space Separator
ValueCountFrequency (%)
829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2427
61.4%
Common 1527
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 233
 
9.6%
충 215
 
8.9%
면 154
 
6.3%
산 130
 
5.4%
시 122
 
5.0%
로 99
 
4.1%
길 94
 
3.9%
군 88
 
3.6%
서 58
 
2.4%
천 56
 
2.3%
Other values (193) 1178
48.5%
Common
ValueCountFrequency (%)
829
54.3%
1 133
 
8.7%
2 93
 
6.1%
3 69
 
4.5%
- 64
 
4.2%
5 60
 
3.9%
4 56
 
3.7%
6 54
 
3.5%
0 47
 
3.1%
7 45
 
2.9%
Other values (2) 77
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2427
61.4%
ASCII 1527
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
829
54.3%
1 133
 
8.7%
2 93
 
6.1%
3 69
 
4.5%
- 64
 
4.2%
5 60
 
3.9%
4 56
 
3.7%
6 54
 
3.5%
0 47
 
3.1%
7 45
 
2.9%
Other values (2) 77
 
5.0%
Hangul
ValueCountFrequency (%)
남 233
 
9.6%
충 215
 
8.9%
면 154
 
6.3%
산 130
 
5.4%
시 122
 
5.0%
로 99
 
4.1%
길 94
 
3.9%
군 88
 
3.6%
서 58
 
2.4%
천 56
 
2.3%
Other values (193) 1178
48.5%

Missing values

2024-01-10T06:23:52.684008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:23:52.747569image/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

이름카테고리전화번호주소
0광덕산명산1577-6611충남 천안시 동남구 광덕면 광덕사길 30
1팔봉산명산팔봉면사무소 041-660-3447충남 서산시 팔봉면 양길리
2가야산(서산)명산서산시청 문화관광과 041-660-3179충남 서산시 운산면 용현리
3황금산명산삼길포관광안내소 041-662-0819충남 서산시 대산읍 독곳리
4도비산명산부석면사무소 041-662-4001충남 서산시 부석면 취평리
5대둔산명산041-746-6156충남 논산시 벌곡면 수락계곡길 산 14-1
6계룡산명산계룡산국립공원사무소 042-825-3002충남 공주시 반포면 학봉리
7천마산명산042-840-2402충남 계룡시 금암동
8향적산명산042-820-2114충남 계룡시 엄사면 향한리
9아미망루(아미산)명산태산목장 041-356-3154충남 당진시 면천면 아미로 354-29
이름카테고리전화번호주소
196안면도자연휴양림휴양/온천041-674-5019충남 태안군 안면읍 안면대로 3195-6
197천안삼거리특화관광지관광안내센터 041-550-2445충남 천안시 서북구 성정8길 5 천안삼거리공원
198아리리오광장특화관광지041-550-2445충남 천안시 동남구 만남로 43
199병천순대거리특화관광지041-521-2035충남 천안시 동남구 병천면 아우내순대길
200입장 거봉포도마을특화관광지041-582-1019충남 천안시 서북구 입장면 입장로 129 입장면사무소
201서산동부시장특화관광지041-665-5478충남 서산시 시장3길 5-6
202금산인삼약초시장특화관광지041-754-1465충남 금산군 금산읍 인삼약초로 24
203장승공원특화관광지청양군청 문화체육관광과충남 청양군 대치면 장곡길 119-17
204토굴새우젓단지특화관광지토굴새우젓홍보관 070-4130-0064충남 홍성군 광천읍 광천로 119
205대흥슬로시티특화관광지041-331-3727충남 예산군 대흥면 중리길 49