Overview

Dataset statistics

Number of variables20
Number of observations44
Missing cells57
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory165.0 B

Variable types

Text6
Categorical5
Numeric2
DateTime7

Dataset

Description서울특별시 용산구의 관광지 표준데이터에 대한 상세 정보 목록입니다. 기타시설정보, 운영요일, 평일/토요일/공휴일별 운영 시작 및 종료시간, 요금 정보, 키워드 등을 제공합니다.
Author서울특별시 용산구
URLhttps://www.data.go.kr/data/15109189/fileData.do

Alerts

할인정보 has constant value ""Constant
데이터기준일자 has constant value ""Constant
요금정보 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
관광지분류 is highly overall correlated with 요금정보High correlation
위도 is highly overall correlated with 요금정보High correlation
경도 is highly overall correlated with 행정동명High correlation
행정동명 is highly overall correlated with 경도High correlation
요금정보 is highly imbalanced (84.4%)Imbalance
할인정보 has 43 (97.7%) missing valuesMissing
찾아오는길 has 14 (31.8%) missing valuesMissing
관광지명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:28:30.547214
Analysis finished2023-12-12 04:28:32.782444
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광지명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T13:28:33.012140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length10.272727
Min length3

Characters and Unicode

Total characters452
Distinct characters154
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row서울 한양도성(서울성곽)
2nd row후암동 조선은행 사택지
3rd row서울 해병대사령부 초대교회
4th row일제 경성호국신사 계단(108계단)
5th row찬바람재
ValueCountFrequency (%)
부군당 5
 
5.0%
옛 5
 
5.0%
순교성지 4
 
4.0%
서울 4
 
4.0%
새남터 3
 
3.0%
이봉창 2
 
2.0%
사당 2
 
2.0%
구 2
 
2.0%
의사 2
 
2.0%
경성지점 1
 
1.0%
Other values (70) 70
70.0%
2023-12-12T13:28:33.490806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
12.4%
당 14
 
3.1%
산 13
 
2.9%
군 12
 
2.7%
사 12
 
2.7%
성 11
 
2.4%
부 10
 
2.2%
남 10
 
2.2%
용 9
 
2.0%
지 9
 
2.0%
Other values (144) 296
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
81.4%
Space Separator 56
 
12.4%
Close Punctuation 9
 
2.0%
Open Punctuation 9
 
2.0%
Decimal Number 7
 
1.5%
Other Punctuation 2
 
0.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 14
 
3.8%
산 13
 
3.5%
군 12
 
3.3%
사 12
 
3.3%
성 11
 
3.0%
부 10
 
2.7%
남 10
 
2.7%
용 9
 
2.4%
지 9
 
2.4%
관 9
 
2.4%
Other values (133) 259
70.4%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 1
 
14.3%
8 1
 
14.3%
0 1
 
14.3%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
81.4%
Common 83
 
18.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 14
 
3.8%
산 13
 
3.5%
군 12
 
3.3%
사 12
 
3.3%
성 11
 
3.0%
부 10
 
2.7%
남 10
 
2.7%
용 9
 
2.4%
지 9
 
2.4%
관 9
 
2.4%
Other values (133) 259
70.4%
Common
ValueCountFrequency (%)
56
67.5%
) 9
 
10.8%
( 9
 
10.8%
1 3
 
3.6%
2 1
 
1.2%
& 1
 
1.2%
8 1
 
1.2%
0 1
 
1.2%
. 1
 
1.2%
3 1
 
1.2%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
81.4%
ASCII 84
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
66.7%
) 9
 
10.7%
( 9
 
10.7%
1 3
 
3.6%
N 1
 
1.2%
2 1
 
1.2%
& 1
 
1.2%
8 1
 
1.2%
0 1
 
1.2%
. 1
 
1.2%
Hangul
ValueCountFrequency (%)
당 14
 
3.8%
산 13
 
3.5%
군 12
 
3.3%
사 12
 
3.3%
성 11
 
3.0%
부 10
 
2.7%
남 10
 
2.7%
용 9
 
2.4%
지 9
 
2.4%
관 9
 
2.4%
Other values (133) 259
70.4%

관광지분류
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
종교성지
20 
유적지
11 
공원
4 
기념관
3 
사적지
 
2
Other values (3)
4 

Length

Max length4
Median length3.5
Mean length3.4090909
Min length2

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row유적지
2nd row문화주택
3rd row종교성지
4th row유적지
5th row유적지

Common Values

ValueCountFrequency (%)
종교성지 20
45.5%
유적지 11
25.0%
공원 4
 
9.1%
기념관 3
 
6.8%
사적지 2
 
4.5%
전시관 2
 
4.5%
문화주택 1
 
2.3%
관광타워 1
 
2.3%

Length

2023-12-12T13:28:33.672821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:33.849800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종교성지 20
45.5%
유적지 11
25.0%
공원 4
 
9.1%
기념관 3
 
6.8%
사적지 2
 
4.5%
전시관 2
 
4.5%
문화주택 1
 
2.3%
관광타워 1
 
2.3%

행정동명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
원효로2동
7 
한남동
5 
용산2가동
4 
한강로동
4 
이촌2동
4 
Other values (9)
20 

Length

Max length5
Median length4
Mean length3.8863636
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row후암동
2nd row후암동
3rd row용산2가동
4th row용산2가동
5th row용산2가동

Common Values

ValueCountFrequency (%)
원효로2동 7
15.9%
한남동 5
11.4%
용산2가동 4
9.1%
한강로동 4
9.1%
이촌2동 4
9.1%
남영동 3
6.8%
효창동 3
6.8%
서빙고동 3
6.8%
후암동 2
 
4.5%
원효로1동 2
 
4.5%
Other values (4) 7
15.9%

Length

2023-12-12T13:28:34.015784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원효로2동 7
15.9%
한남동 5
11.4%
용산2가동 4
9.1%
한강로동 4
9.1%
이촌2동 4
9.1%
남영동 3
6.8%
효창동 3
6.8%
서빙고동 3
6.8%
후암동 2
 
4.5%
원효로1동 2
 
4.5%
Other values (4) 7
15.9%

소재지도로명주소
Text

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T13:28:34.284514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.25
Min length16

Characters and Unicode

Total characters847
Distinct characters60
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

Unique36 ?
Unique (%)81.8%

Sample

1st row서울특별시 용산구 후암동 산1-2
2nd row서울특별시 용산구 후암로16가길 7
3rd row서울특별시 용산구 용산동2가 2-18
4th row서울특별시 용산구 신흥로22가길 33
5th row서울특별시 용산구 녹사평대로 195
ValueCountFrequency (%)
서울특별시 44
25.0%
용산구 42
23.9%
7 4
 
2.3%
이촌로 3
 
1.7%
37 3
 
1.7%
13 2
 
1.1%
33 2
 
1.1%
백범로 2
 
1.1%
80-8 2
 
1.1%
이태원로 2
 
1.1%
Other values (64) 70
39.8%
2023-12-12T13:28:34.788841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
15.6%
서 48
 
5.7%
산 45
 
5.3%
특 44
 
5.2%
별 44
 
5.2%
시 44
 
5.2%
구 44
 
5.2%
울 44
 
5.2%
용 43
 
5.1%
로 37
 
4.4%
Other values (50) 322
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 539
63.6%
Decimal Number 158
 
18.7%
Space Separator 132
 
15.6%
Dash Punctuation 18
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 48
 
8.9%
산 45
 
8.3%
특 44
 
8.2%
별 44
 
8.2%
시 44
 
8.2%
구 44
 
8.2%
울 44
 
8.2%
용 43
 
8.0%
로 37
 
6.9%
길 24
 
4.5%
Other values (38) 122
22.6%
Decimal Number
ValueCountFrequency (%)
1 32
20.3%
2 21
13.3%
9 17
10.8%
4 16
10.1%
8 15
9.5%
7 15
9.5%
3 14
8.9%
0 10
 
6.3%
5 10
 
6.3%
6 8
 
5.1%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 539
63.6%
Common 308
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 48
 
8.9%
산 45
 
8.3%
특 44
 
8.2%
별 44
 
8.2%
시 44
 
8.2%
구 44
 
8.2%
울 44
 
8.2%
용 43
 
8.0%
로 37
 
6.9%
길 24
 
4.5%
Other values (38) 122
22.6%
Common
ValueCountFrequency (%)
132
42.9%
1 32
 
10.4%
2 21
 
6.8%
- 18
 
5.8%
9 17
 
5.5%
4 16
 
5.2%
8 15
 
4.9%
7 15
 
4.9%
3 14
 
4.5%
0 10
 
3.2%
Other values (2) 18
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 539
63.6%
ASCII 308
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
42.9%
1 32
 
10.4%
2 21
 
6.8%
- 18
 
5.8%
9 17
 
5.5%
4 16
 
5.2%
8 15
 
4.9%
7 15
 
4.9%
3 14
 
4.5%
0 10
 
3.2%
Other values (2) 18
 
5.8%
Hangul
ValueCountFrequency (%)
서 48
 
8.9%
산 45
 
8.3%
특 44
 
8.2%
별 44
 
8.2%
시 44
 
8.2%
구 44
 
8.2%
울 44
 
8.2%
용 43
 
8.0%
로 37
 
6.9%
길 24
 
4.5%
Other values (38) 122
22.6%

소재지지번주소
Text

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T13:28:35.059322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.840909
Min length16

Characters and Unicode

Total characters829
Distinct characters50
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

Unique36 ?
Unique (%)81.8%

Sample

1st row서울특별시 용산구 후암동 산1-2
2nd row서울특별시 용산구 후암동 247-57
3rd row서울특별시 용산구 용산동2가 2-18
4th row서울특별시 용산구 용산동2가 1-346
5th row서울특별시 용산구 용산동2가 7-99
ValueCountFrequency (%)
서울특별시 44
25.0%
용산구 42
23.9%
한남동 5
 
2.8%
이촌동 4
 
2.3%
용산동2가 4
 
2.3%
효창동 3
 
1.7%
원효로4가 3
 
1.7%
후암동 2
 
1.1%
청암동 2
 
1.1%
서빙고동 2
 
1.1%
Other values (56) 65
36.9%
2023-12-12T13:28:35.565674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
15.9%
산 51
 
6.2%
용 49
 
5.9%
서 46
 
5.5%
특 44
 
5.3%
별 44
 
5.3%
시 44
 
5.3%
구 44
 
5.3%
울 44
 
5.3%
동 38
 
4.6%
Other values (40) 293
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
60.6%
Decimal Number 162
 
19.5%
Space Separator 132
 
15.9%
Dash Punctuation 33
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 51
10.2%
용 49
9.8%
서 46
9.2%
특 44
8.8%
별 44
8.8%
시 44
8.8%
구 44
8.8%
울 44
8.8%
동 38
7.6%
가 13
 
2.6%
Other values (28) 85
16.9%
Decimal Number
ValueCountFrequency (%)
1 36
22.2%
2 28
17.3%
9 17
10.5%
8 16
9.9%
5 16
9.9%
3 12
 
7.4%
4 11
 
6.8%
6 10
 
6.2%
0 8
 
4.9%
7 8
 
4.9%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
60.6%
Common 327
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 51
10.2%
용 49
9.8%
서 46
9.2%
특 44
8.8%
별 44
8.8%
시 44
8.8%
구 44
8.8%
울 44
8.8%
동 38
7.6%
가 13
 
2.6%
Other values (28) 85
16.9%
Common
ValueCountFrequency (%)
132
40.4%
1 36
 
11.0%
- 33
 
10.1%
2 28
 
8.6%
9 17
 
5.2%
8 16
 
4.9%
5 16
 
4.9%
3 12
 
3.7%
4 11
 
3.4%
6 10
 
3.1%
Other values (2) 16
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
60.6%
ASCII 327
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
40.4%
1 36
 
11.0%
- 33
 
10.1%
2 28
 
8.6%
9 17
 
5.2%
8 16
 
4.9%
5 16
 
4.9%
3 12
 
3.7%
4 11
 
3.4%
6 10
 
3.1%
Other values (2) 16
 
4.9%
Hangul
ValueCountFrequency (%)
산 51
10.2%
용 49
9.8%
서 46
9.2%
특 44
8.8%
별 44
8.8%
시 44
8.8%
구 44
8.8%
울 44
8.8%
동 38
7.6%
가 13
 
2.6%
Other values (28) 85
16.9%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.53495
Minimum37.518103
Maximum37.555103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T13:28:35.791924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.518103
5-th percentile37.52226
Q137.528809
median37.534809
Q337.540145
95-th percentile37.551153
Maximum37.555103
Range0.037
Interquartile range (IQR)0.01133625

Descriptive statistics

Standard deviation0.00896335
Coefficient of variation (CV)0.00023880011
Kurtosis-0.14834322
Mean37.53495
Median Absolute Deviation (MAD)0.0056005
Skewness0.40782477
Sum1651.5378
Variance8.0341644 × 10-5
MonotonicityNot monotonic
2023-12-12T13:28:35.960649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
37.534094 2
 
4.5%
37.555103 2
 
4.5%
37.524923 2
 
4.5%
37.536059 2
 
4.5%
37.539005 1
 
2.3%
37.530622 1
 
2.3%
37.52586 1
 
2.3%
37.530347 1
 
2.3%
37.531338 1
 
2.3%
37.529112 1
 
2.3%
Other values (30) 30
68.2%
ValueCountFrequency (%)
37.518103 1
2.3%
37.520454 1
2.3%
37.52213 1
2.3%
37.522994 1
2.3%
37.523941 1
2.3%
37.524923 2
4.5%
37.525656 1
2.3%
37.52586 1
2.3%
37.527058 1
2.3%
37.527899 1
2.3%
ValueCountFrequency (%)
37.555103 2
4.5%
37.551483 1
2.3%
37.549285 1
2.3%
37.547716 1
2.3%
37.546023 1
2.3%
37.544936 1
2.3%
37.543723 1
2.3%
37.54295 1
2.3%
37.540632 1
2.3%
37.540313 1
2.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97561
Minimum126.94637
Maximum127.0104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T13:28:36.469889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.94637
5-th percentile126.95209
Q1126.9588
median126.97241
Q3126.98967
95-th percentile127.00433
Maximum127.0104
Range0.064027
Interquartile range (IQR)0.0308715

Descriptive statistics

Standard deviation0.018220038
Coefficient of variation (CV)0.00014349243
Kurtosis-1.2125289
Mean126.97561
Median Absolute Deviation (MAD)0.015613
Skewness0.17859559
Sum5586.9266
Variance0.00033196979
MonotonicityNot monotonic
2023-12-12T13:28:36.679643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
126.953999 2
 
4.5%
126.989616 2
 
4.5%
126.95689 2
 
4.5%
126.989831 2
 
4.5%
127.002129 1
 
2.3%
126.970508 1
 
2.3%
126.956708 1
 
2.3%
127.007028 1
 
2.3%
127.0104 1
 
2.3%
127.00472 1
 
2.3%
Other values (30) 30
68.2%
ValueCountFrequency (%)
126.946373 1
2.3%
126.947132 1
2.3%
126.951907 1
2.3%
126.95315 1
2.3%
126.953999 2
4.5%
126.956708 1
2.3%
126.95689 2
4.5%
126.957064 1
2.3%
126.958433 1
2.3%
126.95892 1
2.3%
ValueCountFrequency (%)
127.0104 1
2.3%
127.007028 1
2.3%
127.00472 1
2.3%
127.002129 1
2.3%
127.000772 1
2.3%
126.997615 1
2.3%
126.99748 1
2.3%
126.996145 1
2.3%
126.993114 1
2.3%
126.989831 2
4.5%

기타시설정보
Categorical

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
32 
장애인주차장+장애인화장실
7 
기념품점
 
2
기념품점+장애인주차장+장애인화장실
 
1
장애인화장실
 
1

Length

Max length18
Median length4
Mean length5.8409091
Min length4

Unique

Unique3 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
72.7%
장애인주차장+장애인화장실 7
 
15.9%
기념품점 2
 
4.5%
기념품점+장애인주차장+장애인화장실 1
 
2.3%
장애인화장실 1
 
2.3%
장애인주차장 1
 
2.3%

Length

2023-12-12T13:28:36.863067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:37.058845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
72.7%
장애인주차장+장애인화장실 7
 
15.9%
기념품점 2
 
4.5%
기념품점+장애인주차장+장애인화장실 1
 
2.3%
장애인화장실 1
 
2.3%
장애인주차장 1
 
2.3%

운영요일
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
평일+토요일+공휴일
33 
평일+토요일+일요일
7 
토요일+일요일
 
2
사당제
 
1
평일+토요일
 
1

Length

Max length10
Median length10
Mean length9.6363636
Min length3

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row평일+토요일+공휴일
2nd row평일+토요일+일요일
3rd row평일+토요일+일요일
4th row평일+토요일+공휴일
5th row평일+토요일+공휴일

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 33
75.0%
평일+토요일+일요일 7
 
15.9%
토요일+일요일 2
 
4.5%
사당제 1
 
2.3%
평일+토요일 1
 
2.3%

Length

2023-12-12T13:28:37.237085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:37.388899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 33
75.0%
평일+토요일+일요일 7
 
15.9%
토요일+일요일 2
 
4.5%
사당제 1
 
2.3%
평일+토요일 1
 
2.3%

평일운영시작시각
Date

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 10:00:00
2023-12-12T13:28:37.521522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:37.667393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

평일운영종료시각
Date

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:59:00
2023-12-12T13:28:37.844702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:37.979148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

토요일운영시작시각
Date

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 10:00:00
2023-12-12T13:28:38.085011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:38.234325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

토요일운영종료시각
Date

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-12-12 17:00:00
Maximum2023-12-12 23:59:00
2023-12-12T13:28:38.386631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:38.496300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

공휴일운영시작시각
Date

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 10:00:00
2023-12-12T13:28:38.642565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:38.794241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

공휴일운영종료시각
Date

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:59:00
2023-12-12T13:28:38.952917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:39.100626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

요금정보
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
무료
43 
대인 \16000 소인 \12000
 
1

Length

Max length19
Median length2
Mean length2.3863636
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
무료 43
97.7%
대인 \16000 소인 \12000 1
 
2.3%

Length

2023-12-12T13:28:39.253021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:28:39.389868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 43
91.5%
대인 1
 
2.1%
16000 1
 
2.1%
소인 1
 
2.1%
12000 1
 
2.1%

할인정보
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing43
Missing (%)97.7%
Memory size484.0 B
2023-12-12T13:28:39.550369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13
Distinct characters10
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

Unique1 ?
Unique (%)100.0%

Sample

1st row장애인할인+국가유공자할인
ValueCountFrequency (%)
장애인할인+국가유공자할인 1
100.0%
2023-12-12T13:28:39.921291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 3
23.1%
할 2
15.4%
장 1
 
7.7%
애 1
 
7.7%
+ 1
 
7.7%
국 1
 
7.7%
가 1
 
7.7%
유 1
 
7.7%
공 1
 
7.7%
자 1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
92.3%
Math Symbol 1
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 3
25.0%
할 2
16.7%
장 1
 
8.3%
애 1
 
8.3%
국 1
 
8.3%
가 1
 
8.3%
유 1
 
8.3%
공 1
 
8.3%
자 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
92.3%
Common 1
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 3
25.0%
할 2
16.7%
장 1
 
8.3%
애 1
 
8.3%
국 1
 
8.3%
가 1
 
8.3%
유 1
 
8.3%
공 1
 
8.3%
자 1
 
8.3%
Common
ValueCountFrequency (%)
+ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
92.3%
ASCII 1
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 3
25.0%
할 2
16.7%
장 1
 
8.3%
애 1
 
8.3%
국 1
 
8.3%
가 1
 
8.3%
유 1
 
8.3%
공 1
 
8.3%
자 1
 
8.3%
ASCII
ValueCountFrequency (%)
+ 1
100.0%

찾아오는길
Text

MISSING 

Distinct26
Distinct (%)86.7%
Missing14
Missing (%)31.8%
Memory size484.0 B
2023-12-12T13:28:40.217381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length21.033333
Min length8

Characters and Unicode

Total characters631
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 (%)76.7%

Sample

1st row녹사평역 바로앞
2nd row남영역 1번 출구에서 160m
3rd row숙대입구역 6번 출구에서 도보 53m
4th row삼각지역 12번 출구에서 도보 3분
5th row용산역 3번 출구에서 도보 15분
ValueCountFrequency (%)
출구에서 14
 
10.4%
도보 8
 
5.9%
신용산역 7
 
5.2%
1번 6
 
4.4%
3번 6
 
4.4%
효창공원앞역 4
 
3.0%
2번출구에서 4
 
3.0%
1.4km 3
 
2.2%
동대입구역 3
 
2.2%
6번 3
 
2.2%
Other values (61) 77
57.0%
2023-12-12T13:28:40.695480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
16.6%
구 31
 
4.9%
번 30
 
4.8%
역 29
 
4.6%
서 29
 
4.6%
출 27
 
4.3%
1 26
 
4.1%
에 25
 
4.0%
m 25
 
4.0%
0 21
 
3.3%
Other values (83) 283
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
58.8%
Decimal Number 115
 
18.2%
Space Separator 105
 
16.6%
Lowercase Letter 29
 
4.6%
Dash Punctuation 6
 
1.0%
Other Punctuation 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 31
 
8.4%
번 30
 
8.1%
역 29
 
7.8%
서 29
 
7.8%
출 27
 
7.3%
에 25
 
6.7%
도 13
 
3.5%
보 13
 
3.5%
산 12
 
3.2%
용 12
 
3.2%
Other values (66) 150
40.4%
Decimal Number
ValueCountFrequency (%)
1 26
22.6%
0 21
18.3%
2 14
12.2%
3 11
9.6%
5 10
 
8.7%
6 8
 
7.0%
4 8
 
7.0%
8 7
 
6.1%
7 6
 
5.2%
9 4
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
m 25
86.2%
k 4
 
13.8%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
58.8%
Common 231
36.6%
Latin 29
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 31
 
8.4%
번 30
 
8.1%
역 29
 
7.8%
서 29
 
7.8%
출 27
 
7.3%
에 25
 
6.7%
도 13
 
3.5%
보 13
 
3.5%
산 12
 
3.2%
용 12
 
3.2%
Other values (66) 150
40.4%
Common
ValueCountFrequency (%)
105
45.5%
1 26
 
11.3%
0 21
 
9.1%
2 14
 
6.1%
3 11
 
4.8%
5 10
 
4.3%
6 8
 
3.5%
4 8
 
3.5%
8 7
 
3.0%
7 6
 
2.6%
Other values (5) 15
 
6.5%
Latin
ValueCountFrequency (%)
m 25
86.2%
k 4
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
58.8%
ASCII 260
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
40.4%
1 26
 
10.0%
m 25
 
9.6%
0 21
 
8.1%
2 14
 
5.4%
3 11
 
4.2%
5 10
 
3.8%
6 8
 
3.1%
4 8
 
3.1%
8 7
 
2.7%
Other values (7) 25
 
9.6%
Hangul
ValueCountFrequency (%)
구 31
 
8.4%
번 30
 
8.1%
역 29
 
7.8%
서 29
 
7.8%
출 27
 
7.3%
에 25
 
6.7%
도 13
 
3.5%
보 13
 
3.5%
산 12
 
3.2%
용 12
 
3.2%
Other values (66) 150
40.4%

키워드
Text

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T13:28:40.991430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length15.340909
Min length8

Characters and Unicode

Total characters675
Distinct characters198
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)90.9%

Sample

1st row목면산구간+남산타워+한양도성유적전시관
2nd row후암동+한국은행직원숙소+한국은행
3rd row해병대+국가등록문화재+개신교
4th row데이트코스+유퀴즈+드라마촬영지+내이름은김삼순
5th row녹사평+용산기지+한풍재
ValueCountFrequency (%)
새남터+순교자+새남터기념관 2
 
4.5%
서울기도터+한남동부군당+기도터 2
 
4.5%
한강+나루터+한강의나루 1
 
2.3%
무한도전+남산케이블카+야경 1
 
2.3%
목면산구간+남산타워+한양도성유적전시관 1
 
2.3%
이슬람+중동문화+예배 1
 
2.3%
천주교+순교성지+국종교구 1
 
2.3%
경성+일제강점기+주식회사광일 1
 
2.3%
새남터+성당+천주교 1
 
2.3%
이태원+부군당+역사공원 1
 
2.3%
Other values (32) 32
72.7%
2023-12-12T13:28:41.498251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 90
 
13.3%
당 18
 
2.7%
사 17
 
2.5%
기 17
 
2.5%
관 16
 
2.4%
남 13
 
1.9%
이 13
 
1.9%
산 13
 
1.9%
성 13
 
1.9%
교 12
 
1.8%
Other values (188) 453
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
83.0%
Math Symbol 90
 
13.3%
Decimal Number 16
 
2.4%
Uppercase Letter 5
 
0.7%
Other Punctuation 2
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 18
 
3.2%
사 17
 
3.0%
기 17
 
3.0%
관 16
 
2.9%
남 13
 
2.3%
이 13
 
2.3%
산 13
 
2.3%
성 13
 
2.3%
교 12
 
2.1%
터 12
 
2.1%
Other values (171) 416
74.3%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
2 3
18.8%
5 2
12.5%
3 2
12.5%
8 2
12.5%
7 1
 
6.2%
9 1
 
6.2%
0 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
20.0%
D 1
20.0%
I 1
20.0%
T 1
20.0%
K 1
20.0%
Math Symbol
ValueCountFrequency (%)
+ 90
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
83.0%
Common 110
 
16.3%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 18
 
3.2%
사 17
 
3.0%
기 17
 
3.0%
관 16
 
2.9%
남 13
 
2.3%
이 13
 
2.3%
산 13
 
2.3%
성 13
 
2.3%
교 12
 
2.1%
터 12
 
2.1%
Other values (171) 416
74.3%
Common
ValueCountFrequency (%)
+ 90
81.8%
1 4
 
3.6%
2 3
 
2.7%
5 2
 
1.8%
3 2
 
1.8%
. 2
 
1.8%
8 2
 
1.8%
7 1
 
0.9%
9 1
 
0.9%
) 1
 
0.9%
Other values (2) 2
 
1.8%
Latin
ValueCountFrequency (%)
C 1
20.0%
D 1
20.0%
I 1
20.0%
T 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
83.0%
ASCII 115
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 90
78.3%
1 4
 
3.5%
2 3
 
2.6%
5 2
 
1.7%
3 2
 
1.7%
. 2
 
1.7%
8 2
 
1.7%
7 1
 
0.9%
9 1
 
0.9%
C 1
 
0.9%
Other values (7) 7
 
6.1%
Hangul
ValueCountFrequency (%)
당 18
 
3.2%
사 17
 
3.0%
기 17
 
3.0%
관 16
 
2.9%
남 13
 
2.3%
이 13
 
2.3%
산 13
 
2.3%
성 13
 
2.3%
교 12
 
2.1%
터 12
 
2.1%
Other values (171) 416
74.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2022-12-07 00:00:00
Maximum2022-12-07 00:00:00
2023-12-12T13:28:41.678154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:41.828906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:28:31.857208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:31.653034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:31.977057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:28:31.757640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:28:41.938079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광지명관광지분류행정동명소재지도로명주소소재지지번주소위도경도기타시설정보운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보찾아오는길키워드
관광지명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관광지분류1.0001.0000.3650.9960.9960.7690.3570.0000.3820.6170.7740.4780.6510.6780.7091.0000.8420.990
행정동명1.0000.3651.0001.0001.0000.7500.8970.9850.6980.5770.0000.5350.0000.2940.0000.0000.9731.000
소재지도로명주소1.0000.9961.0001.0001.0001.0001.0001.0001.0000.0000.9530.0000.9790.0000.9311.0000.9930.972
소재지지번주소1.0000.9961.0001.0001.0001.0001.0001.0001.0000.0000.9530.0000.9790.0000.9311.0000.9930.972
위도1.0000.7690.7501.0001.0001.0000.6400.0000.0000.5340.6470.2550.7150.4300.6520.7590.7700.884
경도1.0000.3570.8971.0001.0000.6401.0000.5150.0000.3590.0000.2700.2780.0000.0000.0001.0001.000
기타시설정보1.0000.0000.9851.0001.0000.0000.5151.0000.6250.8800.0000.8500.0000.1740.0000.0001.0001.000
운영요일1.0000.3820.6981.0001.0000.0000.0000.6251.0000.3790.6500.7620.7380.0000.4150.0001.0001.000
평일운영시작시각1.0000.6170.5770.0000.0000.5340.3590.8800.3791.0000.7250.9970.8000.9240.6270.5460.0000.960
평일운영종료시각1.0000.7740.0000.9530.9530.6470.0000.0000.6500.7251.0000.7631.0000.7110.9641.0000.6110.896
토요일운영시작시각1.0000.4780.5350.0000.0000.2550.2700.8500.7620.9970.7631.0000.8540.8500.6310.3240.0000.959
토요일운영종료시각1.0000.6510.0000.9790.9790.7150.2780.0000.7380.8001.0000.8541.0000.3750.8640.0000.9570.907
공휴일운영시작시각1.0000.6780.2940.0000.0000.4300.0000.1740.0000.9240.7110.8500.3751.0000.8170.8690.0000.883
공휴일운영종료시각1.0000.7090.0000.9310.9310.6520.0000.0000.4150.6270.9640.6310.8640.8171.0001.0000.0000.805
요금정보1.0001.0000.0001.0001.0000.7590.0000.0000.0000.5461.0000.3240.0000.8691.0001.0000.0001.000
찾아오는길1.0000.8420.9730.9930.9930.7701.0001.0001.0000.0000.6110.0000.9570.0000.0000.0001.0001.000
키워드1.0000.9901.0000.9720.9720.8841.0001.0001.0000.9600.8960.9590.9070.8830.8051.0001.0001.000
2023-12-12T13:28:42.141482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영요일기타시설정보요금정보관광지분류행정동명
운영요일1.0000.4890.0000.2280.393
기타시설정보0.4891.0000.0000.0000.498
요금정보0.0000.0001.0000.9260.000
관광지분류0.2280.0000.9261.0000.127
행정동명0.3930.4980.0000.1271.000
2023-12-12T13:28:42.253925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도관광지분류행정동명기타시설정보운영요일요금정보
위도1.0000.0160.4900.3890.0000.0000.535
경도0.0161.0000.1570.6080.2720.0000.000
관광지분류0.4900.1571.0000.1270.0000.2280.926
행정동명0.3890.6080.1271.0000.4980.3930.000
기타시설정보0.0000.2720.0000.4981.0000.4890.000
운영요일0.0000.0000.2280.3930.4891.0000.000
요금정보0.5350.0000.9260.0000.0000.0001.000

Missing values

2023-12-12T13:28:32.164176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:28:32.464363image/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.
2023-12-12T13:28:32.689257image/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

관광지명관광지분류행정동명소재지도로명주소소재지지번주소위도경도기타시설정보운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보할인정보찾아오는길키워드데이터기준일자
0서울 한양도성(서울성곽)유적지후암동서울특별시 용산구 후암동 산1-2서울특별시 용산구 후암동 산1-237.551483126.985041장애인주차장+장애인화장실평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA><NA>목면산구간+남산타워+한양도성유적전시관2022-12-07
1후암동 조선은행 사택지문화주택후암동서울특별시 용산구 후암로16가길 7서울특별시 용산구 후암동 247-5737.547716126.97866<NA>평일+토요일+일요일00:0023:5900:0023:5900:0023:59무료<NA><NA>후암동+한국은행직원숙소+한국은행2022-12-07
2서울 해병대사령부 초대교회종교성지용산2가동서울특별시 용산구 용산동2가 2-18서울특별시 용산구 용산동2가 2-1837.54295126.982882<NA>평일+토요일+일요일00:0023:5900:0023:5900:0023:59무료<NA><NA>해병대+국가등록문화재+개신교2022-12-07
3일제 경성호국신사 계단(108계단)유적지용산2가동서울특별시 용산구 신흥로22가길 33서울특별시 용산구 용산동2가 1-34637.546023126.982542<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA><NA>데이트코스+유퀴즈+드라마촬영지+내이름은김삼순2022-12-07
4찬바람재유적지용산2가동서울특별시 용산구 녹사평대로 195서울특별시 용산구 용산동2가 7-9937.534815126.987014<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA>녹사평역 바로앞녹사평+용산기지+한풍재2022-12-07
5옛 남영동 대공분실(민주인권기념관)유적지남영동서울특별시 용산구 한강대로71길 37서울특별시 용산구 갈월동 98-837.540632126.971726<NA>평일+토요일+일요일09:3018:0009:3018:0000:0023:59무료<NA>남영역 1번 출구에서 160m남산의부장들+1987+박종철고문치사사건2022-12-07
6옛 용산공설시장(현 남영아케이드)유적지남영동서울특별시 용산구 한강대로84길 7서울특별시 용산구 남영동 28-837.543723126.972924<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA>숙대입구역 6번 출구에서 도보 53m감성맛집+감성카페+용산시장2022-12-07
7전쟁기념관기념관남영동서울특별시 용산구 이태원로 29서울특별시 용산구 용산동1가 837.536246126.977023기념품점+장애인주차장+장애인화장실평일+토요일+일요일09:3018:0009:3018:0000:0023:59무료<NA>삼각지역 12번 출구에서 도보 3분박물관+용산+기념관2022-12-07
8당고개 순교성지종교성지원효로1동서울특별시 용산구 청파로 139-26서울특별시 용산구 신계동 5637.53554126.966795기념품점평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA>용산역 3번 출구에서 도보 15분당고개+순교성지+매화꽃2022-12-07
9옛 풍국제과 공장사적지원효로1동서울특별시 용산구 백범로90다길 13서울특별시 용산구 문배동 30-1037.53619126.970042<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA><NA>오리온+과자공장+풍국제과2022-12-07
관광지명관광지분류행정동명소재지도로명주소소재지지번주소위도경도기타시설정보운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보할인정보찾아오는길키워드데이터기준일자
34서빙고동 부군당종교성지서빙고동서울특별시 용산구 서빙고로59길 3-6서울특별시 용산구 서빙고동 195-337.520454126.993114<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA>서빙고역 1번 출구에서 410m서울특별시민속자료제2호+수호신+신당+민속신앙2022-12-07
35동빙고 부군당종교성지서빙고동서울특별시 용산구 서빙고로73길 24-27서울특별시 용산구 동빙고동 6237.52213126.996145<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA>서빙고역 1번 출구에서 885m수호신+신당+민속신앙2022-12-07
36용산기지 옛 미군장교숙소(현 용산공원)공원서빙고동서울특별시 용산구 서빙고로 221서울특별시 용산구 서빙고동 235-10137.522994126.989165장애인주차장평일+토요일+공휴일09:0018:0009:0018:0009:0018:00무료<NA>서빙고역 1번 출구에서 317m공원+미군기지+용산공원2022-12-07
37김유신 장군 사당종교성지보광동서울특별시 용산구 서빙고로91길 28-15서울특별시 용산구 보광동 15537.523941127.000772<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA><NA>기도터+사당+신라명장2022-12-07
38보광동 무후묘종교성지보광동서울특별시 용산구 장문로15나길 6서울특별시 용산구 보광동 41937.527058126.99748<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA><NA>제갈량+신당+보광사2022-12-07
39새남터 순교성지종교성지이촌2동서울특별시 용산구 이촌로 80-8서울특별시 용산구 이촌동 199-137.524923126.95689<NA>평일+토요일+공휴일10:0017:0010:0017:0010:0017:00무료<NA>신용산역 2번출구에서 도보 1.4km새남터+순교자+새남터기념관2022-12-07
40남산&N서울타워관광타워용산2가동서울특별시 용산구 남산공원길 105서울특별시 용산구 용산동2가 산1-337.549285126.988923장애인주차장+장애인화장실평일+토요일+공휴일09:0023:0009:0023:5909:0023:00대인 \16000 소인 \12000장애인할인+국가유공자할인동대입구역 6번 출구 앞에서 순환버스 탑승무한도전+전망대+야경2022-12-07
41목멱산(남산)봉수대유적지필동서울특별시 중구 예장동 8-1서울특별시 중구 예장동 8-137.555103126.989616<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA>동대입구역 6번출구에서 도보129m남산+조선시대통신수단+서울특별시기념물2022-12-07
42팔각정유적지필동서울특별시 중구 예장동 8-1서울특별시 중구 예장동 8-137.555103126.989616<NA>평일+토요일+공휴일00:0023:5900:0023:5900:0023:59무료<NA>동대입구역 6번 출구 앞에서 순환버스 탑승무한도전+남산케이블카+야경2022-12-07
43노들섬공원이촌2동서울특별시 용산구 양녕로 445서울특별시 용산구 이촌동 302-14637.518103126.957064장애인주차장+장애인화장실평일+토요일+공휴일10:0021:0010:0022:0010:0022:00무료<NA>9호선 노들역 2번출구에서 한강대교 방면 도보 600m라이브하우스+잔디마당+다목절홀숲2022-12-07