Overview

Dataset statistics

Number of variables7
Number of observations60
Missing cells4
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory58.2 B

Variable types

Categorical3
Text4

Dataset

Description대전광역시 관광명소 현황입니다.(구분, 명소명, 소재지, 전화번호, 상세소개, 담당부서 및 담당부서 연락처 등 포함)
Author대전광역시
URLhttps://www.data.go.kr/data/15075891/fileData.do

Alerts

담당부서 has constant value ""Constant
담당부서 연락처 has constant value ""Constant
소재지 has 1 (1.7%) missing valuesMissing
전화번호 has 3 (5.0%) missing valuesMissing
명소명 has unique valuesUnique
상세소개(URL) has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:50:36.088899
Analysis finished2023-12-12 19:50:37.036728
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
문화명소
24 
과학명소
17 
생태환경명소
10 
역사명소
9 

Length

Max length6
Median length4
Mean length4.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화명소 24
40.0%
과학명소 17
28.3%
생태환경명소 10
16.7%
역사명소 9
 
15.0%

Length

2023-12-13T04:50:37.133182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:50:37.300420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화명소 24
40.0%
과학명소 17
28.3%
생태환경명소 10
16.7%
역사명소 9
 
15.0%

명소명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T04:50:37.753578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.5333333
Min length3

Characters and Unicode

Total characters572
Distinct characters191
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row계족산성
2nd row미륵원
3rd row동춘당
4th row남간정사
5th row단재 신채호 선생 생가터
ValueCountFrequency (%)
3대 2
 
2.0%
옛 2
 
2.0%
계족산성 1
 
1.0%
하천과 1
 
1.0%
한밭수목원 1
 
1.0%
대동하늘공원 1
 
1.0%
보운대와 1
 
1.0%
보문산 1
 
1.0%
오백리길 1
 
1.0%
대청호 1
 
1.0%
Other values (89) 89
88.1%
2023-12-13T04:50:38.442305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
7.3%
원 22
 
3.8%
대 19
 
3.3%
국 16
 
2.8%
전 16
 
2.8%
연 15
 
2.6%
한 14
 
2.4%
과 13
 
2.3%
구 12
 
2.1%
) 9
 
1.6%
Other values (181) 394
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
82.3%
Space Separator 42
 
7.3%
Uppercase Letter 33
 
5.8%
Close Punctuation 9
 
1.6%
Open Punctuation 9
 
1.6%
Decimal Number 6
 
1.0%
Other Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 22
 
4.7%
대 19
 
4.0%
국 16
 
3.4%
전 16
 
3.4%
연 15
 
3.2%
한 14
 
3.0%
과 13
 
2.8%
구 12
 
2.5%
산 8
 
1.7%
관 8
 
1.7%
Other values (162) 328
69.6%
Uppercase Letter
ValueCountFrequency (%)
I 7
21.2%
R 6
18.2%
K 6
18.2%
S 3
9.1%
E 2
 
6.1%
B 2
 
6.1%
T 2
 
6.1%
A 2
 
6.1%
C 1
 
3.0%
F 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
3 3
50.0%
0 2
33.3%
5 1
 
16.7%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
81.8%
Common 68
 
11.9%
Latin 33
 
5.8%
Han 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 22
 
4.7%
대 19
 
4.1%
국 16
 
3.4%
전 16
 
3.4%
연 15
 
3.2%
한 14
 
3.0%
과 13
 
2.8%
구 12
 
2.6%
산 8
 
1.7%
관 8
 
1.7%
Other values (159) 325
69.4%
Latin
ValueCountFrequency (%)
I 7
21.2%
R 6
18.2%
K 6
18.2%
S 3
9.1%
E 2
 
6.1%
B 2
 
6.1%
T 2
 
6.1%
A 2
 
6.1%
C 1
 
3.0%
F 1
 
3.0%
Common
ValueCountFrequency (%)
42
61.8%
) 9
 
13.2%
( 9
 
13.2%
3 3
 
4.4%
0 2
 
2.9%
5 1
 
1.5%
, 1
 
1.5%
- 1
 
1.5%
Han
ValueCountFrequency (%)
堂 1
33.3%
心 1
33.3%
聖 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
81.6%
ASCII 101
 
17.7%
CJK 3
 
0.5%
Compat Jamo 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
41.6%
) 9
 
8.9%
( 9
 
8.9%
I 7
 
6.9%
R 6
 
5.9%
K 6
 
5.9%
3 3
 
3.0%
S 3
 
3.0%
E 2
 
2.0%
B 2
 
2.0%
Other values (9) 12
 
11.9%
Hangul
ValueCountFrequency (%)
원 22
 
4.7%
대 19
 
4.1%
국 16
 
3.4%
전 16
 
3.4%
연 15
 
3.2%
한 14
 
3.0%
과 13
 
2.8%
구 12
 
2.6%
산 8
 
1.7%
관 8
 
1.7%
Other values (158) 324
69.4%
CJK
ValueCountFrequency (%)
堂 1
33.3%
心 1
33.3%
聖 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지
Text

MISSING 

Distinct58
Distinct (%)98.3%
Missing1
Missing (%)1.7%
Memory size612.0 B
2023-12-13T04:50:38.859035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length19.525424
Min length13

Characters and Unicode

Total characters1152
Distinct characters98
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row대전광역시 대덕구 장동 산85
2nd row대전광역시 동구 마산동 135-2
3rd row대전광역시 대덕구 동춘당로 80 (송촌동)
4th row대전광역시 동구 충정로 53 (가양동)
5th row대전광역시 중구 단재로229번길 47
ValueCountFrequency (%)
대전광역시 56
22.3%
유성구 25
 
10.0%
중구 10
 
4.0%
대덕구 9
 
3.6%
과학로 8
 
3.2%
서구 8
 
3.2%
동구 7
 
2.8%
가정로 4
 
1.6%
대덕대로 3
 
1.2%
둔산대로 3
 
1.2%
Other values (107) 118
47.0%
2023-12-13T04:50:39.422086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
16.7%
대 91
 
7.9%
전 61
 
5.3%
구 60
 
5.2%
시 58
 
5.0%
광 56
 
4.9%
역 56
 
4.9%
로 54
 
4.7%
1 40
 
3.5%
동 28
 
2.4%
Other values (88) 456
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 725
62.9%
Decimal Number 196
 
17.0%
Space Separator 192
 
16.7%
Open Punctuation 15
 
1.3%
Close Punctuation 15
 
1.3%
Dash Punctuation 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 91
12.6%
전 61
 
8.4%
구 60
 
8.3%
시 58
 
8.0%
광 56
 
7.7%
역 56
 
7.7%
로 54
 
7.4%
동 28
 
3.9%
성 27
 
3.7%
유 27
 
3.7%
Other values (74) 207
28.6%
Decimal Number
ValueCountFrequency (%)
1 40
20.4%
2 24
12.2%
7 21
10.7%
6 19
9.7%
8 19
9.7%
5 17
8.7%
4 16
 
8.2%
3 14
 
7.1%
9 13
 
6.6%
0 13
 
6.6%
Space Separator
ValueCountFrequency (%)
192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 725
62.9%
Common 427
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 91
12.6%
전 61
 
8.4%
구 60
 
8.3%
시 58
 
8.0%
광 56
 
7.7%
역 56
 
7.7%
로 54
 
7.4%
동 28
 
3.9%
성 27
 
3.7%
유 27
 
3.7%
Other values (74) 207
28.6%
Common
ValueCountFrequency (%)
192
45.0%
1 40
 
9.4%
2 24
 
5.6%
7 21
 
4.9%
6 19
 
4.4%
8 19
 
4.4%
5 17
 
4.0%
4 16
 
3.7%
( 15
 
3.5%
) 15
 
3.5%
Other values (4) 49
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 725
62.9%
ASCII 427
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
45.0%
1 40
 
9.4%
2 24
 
5.6%
7 21
 
4.9%
6 19
 
4.4%
8 19
 
4.4%
5 17
 
4.0%
4 16
 
3.7%
( 15
 
3.5%
) 15
 
3.5%
Other values (4) 49
 
11.5%
Hangul
ValueCountFrequency (%)
대 91
12.6%
전 61
 
8.4%
구 60
 
8.3%
시 58
 
8.0%
광 56
 
7.7%
역 56
 
7.7%
로 54
 
7.4%
동 28
 
3.9%
성 27
 
3.7%
유 27
 
3.7%
Other values (74) 207
28.6%

전화번호
Text

MISSING 

Distinct49
Distinct (%)86.0%
Missing3
Missing (%)5.0%
Memory size612.0 B
2023-12-13T04:50:39.715457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.964912
Min length9

Characters and Unicode

Total characters682
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)78.9%

Sample

1st row042-623-9909
2nd row042-251-4204
3rd row042-608-6572
4th row042-673-9286
5th row042-606-6283
ValueCountFrequency (%)
042-606-6283 4
 
7.0%
042-608-6575 4
 
7.0%
042-623-9909 2
 
3.5%
042-869-5114 2
 
3.5%
042-601-7894 1
 
1.8%
042-868-2000 1
 
1.8%
042-868-9516 1
 
1.8%
042-606-6114 1
 
1.8%
042-270-8452 1
 
1.8%
042-270-5583 1
 
1.8%
Other values (39) 39
68.4%
2023-12-13T04:50:40.189875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 113
16.6%
0 103
15.1%
2 88
12.9%
4 84
12.3%
6 66
9.7%
8 63
9.2%
1 50
7.3%
5 34
 
5.0%
7 34
 
5.0%
3 27
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 569
83.4%
Dash Punctuation 113
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
18.1%
2 88
15.5%
4 84
14.8%
6 66
11.6%
8 63
11.1%
1 50
8.8%
5 34
 
6.0%
7 34
 
6.0%
3 27
 
4.7%
9 20
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 682
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 113
16.6%
0 103
15.1%
2 88
12.9%
4 84
12.3%
6 66
9.7%
8 63
9.2%
1 50
7.3%
5 34
 
5.0%
7 34
 
5.0%
3 27
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 113
16.6%
0 103
15.1%
2 88
12.9%
4 84
12.3%
6 66
9.7%
8 63
9.2%
1 50
7.3%
5 34
 
5.0%
7 34
 
5.0%
3 27
 
4.0%

상세소개(URL)
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T04:50:40.564242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length126
Mean length110.4
Min length79

Characters and Unicode

Total characters6624
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st rowhttps://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057684&categorySeq=487
2nd rowhttps://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057683&categorySeq=487
3rd rowhttps://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057682&categorySeq=487
4th rowhttps://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057677&categorySeq=487
5th rowhttps://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057676&categorySeq=487
ValueCountFrequency (%)
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4123&pageindex=1&ntatcseq=1057684&categoryseq=487 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4123&pageindex=1&ntatcseq=1057683&categoryseq=487 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4126&pageindex=1&ntatcseq=1057726&categoryseq=490 1
 
1.7%
https://www.daejeon.go.kr/tou/toutourview.do?tourseq=634&viewname=1&menuseq=962 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4125&pageindex=1&ntatcseq=1057713&categoryseq=489 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4125&pageindex=1&ntatcseq=1057712&categoryseq=489 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4125&pageindex=1&ntatcseq=1057711&categoryseq=489 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4125&pageindex=1&ntatcseq=1057710&categoryseq=489 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4125&pageindex=1&ntatcseq=1057709&categoryseq=489 1
 
1.7%
https://www.daejeon.go.kr/tou/gallery40boardview.do?boardid=tou_0001&menuseq=4125&pageindex=1&ntatcseq=1057708&categoryseq=489 1
 
1.7%
Other values (50) 50
83.3%
2023-12-13T04:50:41.016352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 600
 
9.1%
o 460
 
6.9%
t 360
 
5.4%
a 320
 
4.8%
d 280
 
4.2%
r 260
 
3.9%
= 260
 
3.9%
w 260
 
3.9%
/ 240
 
3.6%
. 240
 
3.6%
Other values (37) 3344
50.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4140
62.5%
Decimal Number 984
 
14.9%
Other Punctuation 800
 
12.1%
Uppercase Letter 400
 
6.0%
Math Symbol 260
 
3.9%
Connector Punctuation 40
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 600
14.5%
o 460
11.1%
t 360
 
8.7%
a 320
 
7.7%
d 280
 
6.8%
r 260
 
6.3%
w 260
 
6.3%
u 220
 
5.3%
n 200
 
4.8%
g 180
 
4.3%
Other values (14) 1000
24.2%
Decimal Number
ValueCountFrequency (%)
0 238
24.2%
1 191
19.4%
4 142
14.4%
7 92
 
9.3%
2 75
 
7.6%
5 65
 
6.6%
6 56
 
5.7%
9 54
 
5.5%
8 52
 
5.3%
3 19
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
S 160
40.0%
I 80
20.0%
V 60
 
15.0%
B 40
 
10.0%
T 40
 
10.0%
N 20
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 240
30.0%
. 240
30.0%
& 200
25.0%
? 60
 
7.5%
: 60
 
7.5%
Math Symbol
ValueCountFrequency (%)
= 260
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4540
68.5%
Common 2084
31.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 600
13.2%
o 460
 
10.1%
t 360
 
7.9%
a 320
 
7.0%
d 280
 
6.2%
r 260
 
5.7%
w 260
 
5.7%
u 220
 
4.8%
n 200
 
4.4%
g 180
 
4.0%
Other values (20) 1400
30.8%
Common
ValueCountFrequency (%)
= 260
12.5%
/ 240
11.5%
. 240
11.5%
0 238
11.4%
& 200
9.6%
1 191
9.2%
4 142
6.8%
7 92
 
4.4%
2 75
 
3.6%
5 65
 
3.1%
Other values (7) 341
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 600
 
9.1%
o 460
 
6.9%
t 360
 
5.4%
a 320
 
4.8%
d 280
 
4.2%
r 260
 
3.9%
= 260
 
3.9%
w 260
 
3.9%
/ 240
 
3.6%
. 240
 
3.6%
Other values (37) 3344
50.5%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
관광마케팅과
60 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광마케팅과 60
100.0%

Length

2023-12-13T04:50:41.160404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:50:41.261833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광마케팅과 60
100.0%

담당부서 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
042-270-3984
60 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row042-270-3984
2nd row042-270-3984
3rd row042-270-3984
4th row042-270-3984
5th row042-270-3984

Common Values

ValueCountFrequency (%)
042-270-3984 60
100.0%

Length

2023-12-13T04:50:41.361452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:50:41.758044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
042-270-3984 60
100.0%

Correlations

2023-12-13T04:50:41.827150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분명소명소재지전화번호상세소개(URL)
구분1.0001.0001.0000.8091.000
명소명1.0001.0001.0001.0001.000
소재지1.0001.0001.0000.9871.000
전화번호0.8091.0000.9871.0001.000
상세소개(URL)1.0001.0001.0001.0001.000

Missing values

2023-12-13T04:50:36.663202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:50:36.822307image/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.
2023-12-13T04:50:36.975688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분명소명소재지전화번호상세소개(URL)담당부서담당부서 연락처
0역사명소계족산성대전광역시 대덕구 장동 산85042-623-9909https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057684&categorySeq=487관광마케팅과042-270-3984
1역사명소미륵원대전광역시 동구 마산동 135-2042-251-4204https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057683&categorySeq=487관광마케팅과042-270-3984
2역사명소동춘당대전광역시 대덕구 동춘당로 80 (송촌동)042-608-6572https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057682&categorySeq=487관광마케팅과042-270-3984
3역사명소남간정사대전광역시 동구 충정로 53 (가양동)042-673-9286https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057677&categorySeq=487관광마케팅과042-270-3984
4역사명소단재 신채호 선생 생가터대전광역시 중구 단재로229번길 47042-606-6283https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057676&categorySeq=487관광마케팅과042-270-3984
5역사명소옛 대전형무소 망루, 우물대전광역시 중구 목중로 34(목동)042-606-6281https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057675&categorySeq=487관광마케팅과042-270-3984
6역사명소수운교의 성지 천단대전광역시 유성구 자운로 245번길 80 (추목동)042-861-1771https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057674&categorySeq=487관광마케팅과042-270-3984
7역사명소이사동 민속마을대전광역시 동구 이사동 산3<NA>https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=1&ntatcSeq=1057672&categorySeq=487관광마케팅과042-270-3984
8역사명소옛 충남도청과 근현대사전시관대전광역시 중구 중앙로 101 (선화동)042-270-6303https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4123&pageIndex=2&ntatcSeq=1057671&categorySeq=487관광마케팅과042-270-3984
9문화명소대전역과 추억의 가락국수대전광역시 동구 중앙로 218 일원(정동)070-4681-2873https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4124&pageIndex=1&ntatcSeq=1057703&categorySeq=488관광마케팅과042-270-3984
구분명소명소재지전화번호상세소개(URL)담당부서담당부서 연락처
50과학명소한국천문연구원대전광역시 유성구 대덕대로 776 (화암동 61-1)042-865-2084https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4126&pageIndex=1&ntatcSeq=1057716&categorySeq=490관광마케팅과042-270-3984
51과학명소한국항공우주연구원과 나로호대전광역시 유성구 과학로 169-84 (어은동)042-870-3657https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4126&pageIndex=2&ntatcSeq=1057715&categorySeq=490관광마케팅과042-270-3984
52과학명소한국기계연구원대전광역시 유성구 가정북로 156042-861-7401https://www.daejeon.go.kr/tou/gallery40BoardView.do?boardId=tou_0001&menuSeq=4126&pageIndex=2&ntatcSeq=1057714&categorySeq=490관광마케팅과042-270-3984
53과학명소국가핵융합연구소(NFRI)대전광역시 유성구 과학로 169-148042-879-5088https://www.daejeon.go.kr/tou/TouTourView.do?tourSeq=1315&viewName=1&menuSeq=960관광마케팅과042-270-3984
54과학명소한국화학연구원(KRICT)대전광역시 유성구 과학로 169-148042-860-7114https://www.daejeon.go.kr/tou/TouTourView.do?tourSeq=1314&viewName=1&menuSeq=960관광마케팅과042-270-3984
55과학명소한국에너지기술연구원(KIER)대전광역시 유성구 가정로 152042-860-3114https://www.daejeon.go.kr/tou/TouTourView.do?tourSeq=1049&viewName=1&menuSeq=960관광마케팅과042-270-3984
56과학명소한국생명공학연구원(KRIBB)대전광역시 유성구 과학로 125042-860-4114https://www.daejeon.go.kr/tou/TouTourView.do?tourSeq=1050&viewName=1&menuSeq=960관광마케팅과042-270-3984
57과학명소특허청 발명교육센터(창의발명체험관)대전광역시 유성구 과학로 82042-601-4458https://www.daejeon.go.kr/tou/TouTourView.do?tourSeq=901&viewName=1&menuSeq=960관광마케팅과042-270-3984
58과학명소한국원자력연구원(KAERI)대전광역시 유성구 대덕대로989번길 111042-868-2000https://www.daejeon.go.kr/tou/TouTourView.do?tourSeq=902&viewName=1&menuSeq=960관광마케팅과042-270-3984
59과학명소한국표준과학연구원(KRISS)대전광역시 유성구 가정로 267042-868-5114https://www.daejeon.go.kr/tou/TouTourView.do?tourSeq=905&viewName=1&menuSeq=960관광마케팅과042-270-3984