Overview

Dataset statistics

Number of variables13
Number of observations178
Missing cells126
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.2 KiB
Average record size in memory110.7 B

Variable types

Numeric6
Categorical4
Text3

Dataset

Description체험코스 아이디,체험코스 썸네일 경로,체험코스 제목,좋아요 수,조회 수,등록일자,체험코스 시간,해당 미래유산의 체험순서,미래유산명,x 좌표,y 좌표,미래유산 소재지,미래유산 썸네일 경로
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15447/S/1/datasetView.do

Alerts

체험코스 썸네일 경로 has constant value ""Constant
체험코스 시간 is highly overall correlated with 체험코스 아이디 and 4 other fieldsHigh correlation
체험코스 제목 is highly overall correlated with 체험코스 아이디 and 6 other fieldsHigh correlation
등록일자 is highly overall correlated with 체험코스 아이디 and 6 other fieldsHigh correlation
체험코스 아이디 is highly overall correlated with 좋아요 수 and 4 other fieldsHigh correlation
좋아요 수 is highly overall correlated with 체험코스 아이디 and 4 other fieldsHigh correlation
조회 수 is highly overall correlated with 체험코스 아이디 and 4 other fieldsHigh correlation
x 좌표 is highly overall correlated with y 좌표 and 2 other fieldsHigh correlation
y 좌표 is highly overall correlated with x 좌표 and 2 other fieldsHigh correlation
미래유산명 has 31 (17.4%) missing valuesMissing
x 좌표 has 31 (17.4%) missing valuesMissing
y 좌표 has 31 (17.4%) missing valuesMissing
미래유산 소재지 has 32 (18.0%) missing valuesMissing
좋아요 수 has 55 (30.9%) zerosZeros
조회 수 has 4 (2.2%) zerosZeros
해당 미래유산의 체험순서 has 25 (14.0%) zerosZeros

Reproduction

Analysis started2024-05-11 00:12:06.639257
Analysis finished2024-05-11 00:12:21.888031
Duration15.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

체험코스 아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9683.8596
Minimum63
Maximum50025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T00:12:22.084328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile63
Q1124
median201
Q3227
95-th percentile50021.15
Maximum50025
Range49962
Interquartile range (IQR)103

Descriptive statistics

Standard deviation19651.31
Coefficient of variation (CV)2.0292849
Kurtosis0.51936457
Mean9683.8596
Median Absolute Deviation (MAD)76
Skewness1.5854377
Sum1723727
Variance3.8617399 × 108
MonotonicityNot monotonic
2024-05-11T00:12:22.492063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
63 10
 
5.6%
202 10
 
5.6%
123 7
 
3.9%
122 7
 
3.9%
125 7
 
3.9%
141 7
 
3.9%
182 7
 
3.9%
124 7
 
3.9%
142 7
 
3.9%
101 7
 
3.9%
Other values (27) 102
57.3%
ValueCountFrequency (%)
63 10
5.6%
81 7
3.9%
101 7
3.9%
121 6
3.4%
122 7
3.9%
123 7
3.9%
124 7
3.9%
125 7
3.9%
141 7
3.9%
142 7
3.9%
ValueCountFrequency (%)
50025 3
1.7%
50024 1
 
0.6%
50023 3
1.7%
50022 2
 
1.1%
50021 5
2.8%
50020 2
 
1.1%
50005 3
1.7%
50004 4
2.2%
50003 5
2.8%
50002 2
 
1.1%

체험코스 썸네일 경로
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg
178 

Length

Max length83
Median length83
Mean length83
Min length83

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg
2nd rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg
3rd rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg
4th rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg
5th rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg

Common Values

ValueCountFrequency (%)
http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg 178
100.0%

Length

2024-05-11T00:12:22.995330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:12:23.290390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://futureheritage.seoul.go.kr/heritageimg/heritage/20150202163509_snag-0141.jpg 178
100.0%

체험코스 제목
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년
 
10
전통의 향기 품은 인사동 골목길에서 색, 멋, 맛을 향유하다
 
10
서울 최고의 한옥 동네 북촌
 
7
다리로 이어지는 시간 여행! 종로와 을지로의 물, 길, 그리고 삶
 
7
서울 중심도로의 기억과 보전, 남대문로와 태평로 일대
 
7
Other values (32)
137 

Length

Max length37
Median length26.5
Mean length21.893258
Min length8

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row머리부터 발끝까지 충격! 서울 패션의 중심지
2nd row머리부터 발끝까지 충격! 서울 패션의 중심지
3rd row머리부터 발끝까지 충격! 서울 패션의 중심지
4th row가을바람과 함께 동심 가득 상상의 나라로 떠나요
5th row가을바람과 함께 동심 가득 상상의 나라로 떠나요

Common Values

ValueCountFrequency (%)
광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년 10
 
5.6%
전통의 향기 품은 인사동 골목길에서 색, 멋, 맛을 향유하다 10
 
5.6%
서울 최고의 한옥 동네 북촌 7
 
3.9%
다리로 이어지는 시간 여행! 종로와 을지로의 물, 길, 그리고 삶 7
 
3.9%
서울 중심도로의 기억과 보전, 남대문로와 태평로 일대 7
 
3.9%
한옥과 예인의 동네 상촌 7
 
3.9%
예술과 문화의 용광로 대학로 7
 
3.9%
성북동에 숨어 있는 문화유산과 역사인물의 흔적 7
 
3.9%
서민의 공간 종로와 서울의 시장 7
 
3.9%
근현대 100년의 기억 정동 7
 
3.9%
Other values (27) 102
57.3%

Length

2024-05-11T00:12:23.636980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 21
 
2.1%
서울의 15
 
1.5%
따라 15
 
1.5%
그리고 14
 
1.4%
만나는 14
 
1.4%
동네 14
 
1.4%
품은 14
 
1.4%
종로와 14
 
1.4%
흐르는 11
 
1.1%
공간 11
 
1.1%
Other values (167) 856
85.7%

좋아요 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1573034
Minimum0
Maximum8
Zeros55
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T00:12:23.979468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4188473
Coefficient of variation (CV)1.1212365
Kurtosis0.17649483
Mean2.1573034
Median Absolute Deviation (MAD)1
Skewness1.133962
Sum384
Variance5.8508221
MonotonicityNot monotonic
2024-05-11T00:12:24.310318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 55
30.9%
1 46
25.8%
2 18
 
10.1%
3 16
 
9.0%
4 12
 
6.7%
8 10
 
5.6%
6 7
 
3.9%
7 7
 
3.9%
5 7
 
3.9%
ValueCountFrequency (%)
0 55
30.9%
1 46
25.8%
2 18
 
10.1%
3 16
 
9.0%
4 12
 
6.7%
5 7
 
3.9%
6 7
 
3.9%
7 7
 
3.9%
8 10
 
5.6%
ValueCountFrequency (%)
8 10
 
5.6%
7 7
 
3.9%
6 7
 
3.9%
5 7
 
3.9%
4 12
 
6.7%
3 16
 
9.0%
2 18
 
10.1%
1 46
25.8%
0 55
30.9%

조회 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2774.1067
Minimum0
Maximum15766
Zeros4
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T00:12:24.685430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.55
Q1541
median1887
Q33750.5
95-th percentile15766
Maximum15766
Range15766
Interquartile range (IQR)3209.5

Descriptive statistics

Standard deviation3549.7335
Coefficient of variation (CV)1.2795951
Kurtosis7.5448286
Mean2774.1067
Median Absolute Deviation (MAD)1689
Skewness2.6793636
Sum493791
Variance12600608
MonotonicityNot monotonic
2024-05-11T00:12:25.087362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
15766 10
 
5.6%
2653 10
 
5.6%
3539 7
 
3.9%
3791 7
 
3.9%
3629 7
 
3.9%
4172 7
 
3.9%
3576 7
 
3.9%
3968 7
 
3.9%
4040 7
 
3.9%
4966 7
 
3.9%
Other values (25) 102
57.3%
ValueCountFrequency (%)
0 4
2.2%
19 5
2.8%
22 5
2.8%
23 2
 
1.1%
31 4
2.2%
36 3
1.7%
46 2
 
1.1%
53 3
1.7%
59 5
2.8%
512 4
2.2%
ValueCountFrequency (%)
15766 10
5.6%
4966 7
3.9%
4172 7
3.9%
4040 7
3.9%
3968 7
3.9%
3791 7
3.9%
3629 7
3.9%
3576 7
3.9%
3539 7
3.9%
3202 6
3.4%

등록일자
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2016-10-06 00:00:00.0
 
10
2022-07-29 09:48:36.0
 
10
2017-01-18 11:15:11.0
 
7
2022-07-29 10:09:37.0
 
7
2017-01-18 13:45:46.0
 
7
Other values (32)
137 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row2023-12-20 17:49:33.0
2nd row2023-12-20 17:49:33.0
3rd row2023-12-20 17:49:33.0
4th row2023-12-20 17:45:40.0
5th row2023-12-20 17:45:40.0

Common Values

ValueCountFrequency (%)
2016-10-06 00:00:00.0 10
 
5.6%
2022-07-29 09:48:36.0 10
 
5.6%
2017-01-18 11:15:11.0 7
 
3.9%
2022-07-29 10:09:37.0 7
 
3.9%
2017-01-18 13:45:46.0 7
 
3.9%
2017-01-18 13:19:00.0 7
 
3.9%
2017-01-18 11:31:48.0 7
 
3.9%
2017-01-18 11:42:56.0 7
 
3.9%
2017-01-18 10:59:15.0 7
 
3.9%
2016-11-28 21:18:13.0 7
 
3.9%
Other values (27) 102
57.3%

Length

2024-05-11T00:12:25.493871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-01-18 48
 
13.5%
2023-03-16 42
 
11.8%
2023-12-20 34
 
9.6%
2022-07-29 17
 
4.8%
2016-11-28 14
 
3.9%
00:00:00.0 10
 
2.8%
2016-10-06 10
 
2.8%
09:48:36.0 10
 
2.8%
2022-07-28 9
 
2.5%
13:45:46.0 7
 
2.0%
Other values (35) 155
43.5%

체험코스 시간
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3시간
74 
약4시간
28 
약3시간
27 
2시간
18 
4시간
14 
Other values (2)
17 

Length

Max length6
Median length3
Mean length3.5393258
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3시간
2nd row3시간
3rd row3시간
4th row2시간
5th row2시간

Common Values

ValueCountFrequency (%)
3시간 74
41.6%
약4시간 28
 
15.7%
약3시간 27
 
15.2%
2시간 18
 
10.1%
4시간 14
 
7.9%
약 3시간 10
 
5.6%
약2시간 반 7
 
3.9%

Length

2024-05-11T00:12:25.865314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:12:26.247821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3시간 84
43.1%
약4시간 28
 
14.4%
약3시간 27
 
13.8%
2시간 18
 
9.2%
4시간 14
 
7.2%
약 10
 
5.1%
약2시간 7
 
3.6%
반 7
 
3.6%

해당 미래유산의 체험순서
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6011236
Minimum0
Maximum9
Zeros25
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T00:12:26.747562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.006599
Coefficient of variation (CV)0.77143546
Kurtosis0.27783549
Mean2.6011236
Median Absolute Deviation (MAD)1
Skewness0.7815517
Sum463
Variance4.0264394
MonotonicityNot monotonic
2024-05-11T00:12:27.276348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 37
20.8%
2 35
19.7%
3 29
16.3%
0 25
14.0%
4 20
11.2%
5 15
8.4%
6 11
 
6.2%
7 2
 
1.1%
8 2
 
1.1%
9 2
 
1.1%
ValueCountFrequency (%)
0 25
14.0%
1 37
20.8%
2 35
19.7%
3 29
16.3%
4 20
11.2%
5 15
8.4%
6 11
 
6.2%
7 2
 
1.1%
8 2
 
1.1%
9 2
 
1.1%
ValueCountFrequency (%)
9 2
 
1.1%
8 2
 
1.1%
7 2
 
1.1%
6 11
 
6.2%
5 15
8.4%
4 20
11.2%
3 29
16.3%
2 35
19.7%
1 37
20.8%
0 25
14.0%

미래유산명
Text

MISSING 

Distinct132
Distinct (%)89.8%
Missing31
Missing (%)17.4%
Memory size1.5 KiB
2024-05-11T00:12:28.104057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length17
Mean length7.9251701
Min length3

Characters and Unicode

Total characters1165
Distinct characters268
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

Unique120 ?
Unique (%)81.6%

Sample

1st row동대문패션타운
2nd row동대문종합시장(A,B,C동)
3rd row동대문신발종합상가(A동)
4th row어린이대공원
5th row청룡열차
ValueCountFrequency (%)
남산육교 3
 
1.2%
세실극장 3
 
1.2%
서울광장 3
 
1.2%
세종로 3
 
1.2%
한옥밀집지역 3
 
1.2%
동상 3
 
1.2%
가옥 3
 
1.2%
집 3
 
1.2%
가구거리 2
 
0.8%
지하보도 2
 
0.8%
Other values (196) 217
88.6%
2024-05-11T00:12:29.572469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
8.4%
동 30
 
2.6%
장 29
 
2.5%
서 21
 
1.8%
대 20
 
1.7%
원 19
 
1.6%
관 18
 
1.5%
) 18
 
1.5%
( 18
 
1.5%
울 18
 
1.5%
Other values (258) 876
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 997
85.6%
Space Separator 98
 
8.4%
Decimal Number 19
 
1.6%
Close Punctuation 18
 
1.5%
Open Punctuation 18
 
1.5%
Uppercase Letter 8
 
0.7%
Other Punctuation 6
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
3.0%
장 29
 
2.9%
서 21
 
2.1%
대 20
 
2.0%
원 19
 
1.9%
관 18
 
1.8%
울 18
 
1.8%
지 17
 
1.7%
구 17
 
1.7%
이 15
 
1.5%
Other values (237) 793
79.5%
Decimal Number
ValueCountFrequency (%)
1 6
31.6%
4 3
15.8%
9 2
 
10.5%
8 2
 
10.5%
3 2
 
10.5%
2 1
 
5.3%
6 1
 
5.3%
0 1
 
5.3%
5 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
A 2
25.0%
C 1
12.5%
H 1
12.5%
N 1
12.5%
O 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 997
85.6%
Common 160
 
13.7%
Latin 8
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
3.0%
장 29
 
2.9%
서 21
 
2.1%
대 20
 
2.0%
원 19
 
1.9%
관 18
 
1.8%
울 18
 
1.8%
지 17
 
1.7%
구 17
 
1.7%
이 15
 
1.5%
Other values (237) 793
79.5%
Common
ValueCountFrequency (%)
98
61.3%
) 18
 
11.2%
( 18
 
11.2%
1 6
 
3.8%
, 4
 
2.5%
4 3
 
1.9%
9 2
 
1.2%
. 2
 
1.2%
8 2
 
1.2%
3 2
 
1.2%
Other values (5) 5
 
3.1%
Latin
ValueCountFrequency (%)
B 2
25.0%
A 2
25.0%
C 1
12.5%
H 1
12.5%
N 1
12.5%
O 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 997
85.6%
ASCII 168
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
58.3%
) 18
 
10.7%
( 18
 
10.7%
1 6
 
3.6%
, 4
 
2.4%
4 3
 
1.8%
9 2
 
1.2%
. 2
 
1.2%
B 2
 
1.2%
8 2
 
1.2%
Other values (11) 13
 
7.7%
Hangul
ValueCountFrequency (%)
동 30
 
3.0%
장 29
 
2.9%
서 21
 
2.1%
대 20
 
2.0%
원 19
 
1.9%
관 18
 
1.8%
울 18
 
1.8%
지 17
 
1.7%
구 17
 
1.7%
이 15
 
1.5%
Other values (237) 793
79.5%

x 좌표
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct132
Distinct (%)89.8%
Missing31
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean126.98079
Minimum126.88256
Maximum127.08085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T00:12:30.098358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.88256
5-th percentile126.89255
Q1126.97313
median126.98371
Q3127.0033
95-th percentile127.04372
Maximum127.08085
Range0.198288
Interquartile range (IQR)0.030161

Descriptive statistics

Standard deviation0.040455664
Coefficient of variation (CV)0.00031859672
Kurtosis0.79729733
Mean126.98079
Median Absolute Deviation (MAD)0.01476
Skewness-0.46290176
Sum18666.176
Variance0.0016366607
MonotonicityNot monotonic
2024-05-11T00:12:30.689327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.976565 3
 
1.7%
126.976341 3
 
1.7%
126.978204 3
 
1.7%
126.976074 2
 
1.1%
126.971584 2
 
1.1%
126.999711 2
 
1.1%
126.981283275094 2
 
1.1%
127.007061 2
 
1.1%
126.883639 2
 
1.1%
126.976975 2
 
1.1%
Other values (122) 124
69.7%
(Missing) 31
 
17.4%
ValueCountFrequency (%)
126.88256 1
0.6%
126.883639 2
1.1%
126.888575 1
0.6%
126.889885 1
0.6%
126.891634 1
0.6%
126.891888 1
0.6%
126.892489 1
0.6%
126.892686 1
0.6%
126.893657 1
0.6%
126.899649 1
0.6%
ValueCountFrequency (%)
127.080848 1
0.6%
127.078772391405 1
0.6%
127.078772 1
0.6%
127.068953727442 1
0.6%
127.05865 1
0.6%
127.056496 1
0.6%
127.047326 1
0.6%
127.045628235663 1
0.6%
127.039272 1
0.6%
127.037357 1
0.6%

y 좌표
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct132
Distinct (%)89.8%
Missing31
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean126.98079
Minimum126.88256
Maximum127.08085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T00:12:31.278288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.88256
5-th percentile126.89255
Q1126.97313
median126.98371
Q3127.0033
95-th percentile127.04372
Maximum127.08085
Range0.198288
Interquartile range (IQR)0.030161

Descriptive statistics

Standard deviation0.040455664
Coefficient of variation (CV)0.00031859672
Kurtosis0.79729733
Mean126.98079
Median Absolute Deviation (MAD)0.01476
Skewness-0.46290176
Sum18666.176
Variance0.0016366607
MonotonicityNot monotonic
2024-05-11T00:12:31.811247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.976565 3
 
1.7%
126.976341 3
 
1.7%
126.978204 3
 
1.7%
126.976074 2
 
1.1%
126.971584 2
 
1.1%
126.999711 2
 
1.1%
126.981283275094 2
 
1.1%
127.007061 2
 
1.1%
126.883639 2
 
1.1%
126.976975 2
 
1.1%
Other values (122) 124
69.7%
(Missing) 31
 
17.4%
ValueCountFrequency (%)
126.88256 1
0.6%
126.883639 2
1.1%
126.888575 1
0.6%
126.889885 1
0.6%
126.891634 1
0.6%
126.891888 1
0.6%
126.892489 1
0.6%
126.892686 1
0.6%
126.893657 1
0.6%
126.899649 1
0.6%
ValueCountFrequency (%)
127.080848 1
0.6%
127.078772391405 1
0.6%
127.078772 1
0.6%
127.068953727442 1
0.6%
127.05865 1
0.6%
127.056496 1
0.6%
127.047326 1
0.6%
127.045628235663 1
0.6%
127.039272 1
0.6%
127.037357 1
0.6%

미래유산 소재지
Text

MISSING 

Distinct127
Distinct (%)87.0%
Missing32
Missing (%)18.0%
Memory size1.5 KiB
2024-05-11T00:12:32.614664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length30
Mean length13.445205
Min length7

Characters and Unicode

Total characters1963
Distinct characters161
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)78.1%

Sample

1st row중구 장충단로 263
2nd row종로구 종로 266 내
3rd row종로구 청계천로 295
4th row광진구 능동로 216
5th row광진구 능동로 216
ValueCountFrequency (%)
종로구 42
 
8.6%
중구 38
 
7.8%
일대 21
 
4.3%
영등포구 11
 
2.3%
용산구 8
 
1.6%
17 7
 
1.4%
성동구 6
 
1.2%
성북구 6
 
1.2%
내 6
 
1.2%
금천구 5
 
1.0%
Other values (232) 338
69.3%
2024-05-11T00:12:33.806582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
17.5%
로 168
 
8.6%
구 147
 
7.5%
1 101
 
5.1%
길 63
 
3.2%
대 63
 
3.2%
2 59
 
3.0%
종 58
 
3.0%
3 52
 
2.6%
4 48
 
2.4%
Other values (151) 860
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1130
57.6%
Decimal Number 437
 
22.3%
Space Separator 344
 
17.5%
Dash Punctuation 25
 
1.3%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Other Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.2%
Math Symbol 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 168
 
14.9%
구 147
 
13.0%
길 63
 
5.6%
대 63
 
5.6%
종 58
 
5.1%
중 39
 
3.5%
동 38
 
3.4%
일 26
 
2.3%
성 19
 
1.7%
포 19
 
1.7%
Other values (128) 490
43.4%
Decimal Number
ValueCountFrequency (%)
1 101
23.1%
2 59
13.5%
3 52
11.9%
4 48
11.0%
5 39
 
8.9%
6 38
 
8.7%
7 37
 
8.5%
9 24
 
5.5%
0 21
 
4.8%
8 18
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
A 1
25.0%
I 1
25.0%
T 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 1
 
20.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1130
57.6%
Common 828
42.2%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 168
 
14.9%
구 147
 
13.0%
길 63
 
5.6%
대 63
 
5.6%
종 58
 
5.1%
중 39
 
3.5%
동 38
 
3.4%
일 26
 
2.3%
성 19
 
1.7%
포 19
 
1.7%
Other values (128) 490
43.4%
Common
ValueCountFrequency (%)
344
41.5%
1 101
 
12.2%
2 59
 
7.1%
3 52
 
6.3%
4 48
 
5.8%
5 39
 
4.7%
6 38
 
4.6%
7 37
 
4.5%
- 25
 
3.0%
9 24
 
2.9%
Other values (8) 61
 
7.4%
Latin
ValueCountFrequency (%)
B 1
20.0%
A 1
20.0%
m 1
20.0%
I 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1130
57.6%
ASCII 833
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
41.3%
1 101
 
12.1%
2 59
 
7.1%
3 52
 
6.2%
4 48
 
5.8%
5 39
 
4.7%
6 38
 
4.6%
7 37
 
4.4%
- 25
 
3.0%
9 24
 
2.9%
Other values (13) 66
 
7.9%
Hangul
ValueCountFrequency (%)
로 168
 
14.9%
구 147
 
13.0%
길 63
 
5.6%
대 63
 
5.6%
종 58
 
5.1%
중 39
 
3.5%
동 38
 
3.4%
일 26
 
2.3%
성 19
 
1.7%
포 19
 
1.7%
Other values (128) 490
43.4%

미래유산 썸네일 경로
Text

Distinct162
Distinct (%)91.5%
Missing1
Missing (%)0.6%
Memory size1.5 KiB
2024-05-11T00:12:34.683226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length359
Median length298
Mean length137.38418
Min length42

Characters and Unicode

Total characters24317
Distinct characters49
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

Unique150 ?
Unique (%)84.7%

Sample

1st rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/2013077/jpg/2013077_001_thumb.jpg
2nd rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/2013075/jpg/2013075_001_thumb.jpg
3rd rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/20140326154405_%25EB%258F%2599%25EB%258C%2580%25EB%25AC%25B8%25EC%258B%25A0%25EB%25B0%259C%25EC%25A2%2585%25ED%2595%25A9%25EC%2583%2581%25EA%25B0%2580A%25EB%258F%2599%25EC%25B8%25A1%25EB%25A9%25B4.jpg
4th rowhttp://futureheritage.seoul.go.kr/HeritageImg/heritage/20171016172402_07_thumb.jpg
5th rowhttps://futureheritage.seoul.go.kr/HeritageImg/multimedia/20230918113922_%25EC%25B2%25AD%25EB%25A3%25A1%25EC%2597%25B4%25EC%25B0%25A8_001_%25EC%2596%25B4%25EB%25A6%25B0%25EC%259D%25B4%25EB%258C%2580%25EA%25B3%25B5%25EC%259B%2590.jpg
ValueCountFrequency (%)
http://futureheritage.seoul.go.kr/heritageimg/heritage/20140326135910_p20130501_112457285_63d0d5aa-ac79-462b-a3fa-4279bff8de41.jpg 3
 
1.7%
http://futureheritage.seoul.go.kr/heritageimg/heritage/20150202163509_snag-0141.jpg 3
 
1.7%
https://futureheritage.seoul.go.kr/heritageimg/multimedia/20230918151513_%25ec%2584%259c%25ec%259a%25b8%25ea%25b4%2591%25ec%259e%25a5_013.jpg 3
 
1.7%
http://futureheritage.seoul.go.kr/heritageimg/heritage/20171017164802_01_thumb.jpg 2
 
1.1%
http://futureheritage.seoul.go.kr/heritageimg/heritage/2013077/jpg/2013077_001_thumb.jpg 2
 
1.1%
http://futureheritage.seoul.go.kr/heritageimg/heritage/2013138/jpg/2013138_001_thumb.jpg 2
 
1.1%
https://futureheritage.seoul.go.kr/heritageimg/multimedia/20221202172859_221015_011_%25ec%2584%259c%25ec%259a%25b8%25ed%258a%25b9%25eb%25b3%2584%25ec%258b%259c%25ea%25b5%2590%25ec%259c%25a1%25ec%25b2%25ad%25ea%25b5%2590%25ec%259c%25a1%25ec%2597%25b0%25ea%25b5%25ac%25ec%25a0%2595%25eb%25b3%25b4%25ec%259b%2590_jpg_%25eb%2582%25b4%25eb%25b6%25804.jpg 2
 
1.1%
https://futureheritage.seoul.go.kr/heritageimg/multimedia/20230918154844_%25ec%2584%25b8%25ec%25a2%2585%25eb%25ac%25b8%25ed%2599%2594%25ed%259a%258c%25ea%25b4%2580_005_%25ec%2584%259c%25eb%25b9%2584%25ec%258a%25a4%25ed%2594%258c%25eb%259d%25bc%25ec%259e%2590%25ec%25a0%2584%25ea%25b2%25bd2.jpg 2
 
1.1%
http://futureheritage.seoul.go.kr/heritageimg/heritage/20150204110628_snag-0005.jpg 2
 
1.1%
http://futureheritage.seoul.go.kr/heritageimg/heritage/20140327165053_%25ea%25b4%2591%25ed%2599%2594%25eb%25ac%25b8%25ea%25b4%2591%25ec%259e%25a5%25ea%25b3%25bc%25ec%259d%25b4%25ec%2588%259c%25ec%258b%25a0%25ec%259e%25a5%25ea%25b5%25b0%25eb%258f%2599%25ec%2583%2581.jpg 2
 
1.1%
Other values (152) 154
87.0%
2024-05-11T00:12:36.336969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2812
 
11.6%
5 2520
 
10.4%
% 2196
 
9.0%
e 1205
 
5.0%
t 947
 
3.9%
0 909
 
3.7%
g 879
 
3.6%
/ 777
 
3.2%
E 773
 
3.2%
r 701
 
2.9%
Other values (39) 10598
43.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9388
38.6%
Lowercase Letter 7799
32.1%
Other Punctuation 3740
 
15.4%
Uppercase Letter 3061
 
12.6%
Connector Punctuation 302
 
1.2%
Dash Punctuation 27
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1205
15.5%
t 947
12.1%
g 879
11.3%
r 701
9.0%
u 540
 
6.9%
a 492
 
6.3%
i 475
 
6.1%
h 472
 
6.1%
p 325
 
4.2%
o 294
 
3.8%
Other values (9) 1469
18.8%
Uppercase Letter
ValueCountFrequency (%)
E 773
25.3%
B 676
22.1%
C 487
15.9%
A 486
15.9%
D 179
 
5.8%
I 149
 
4.9%
H 148
 
4.8%
G 38
 
1.2%
F 36
 
1.2%
P 29
 
0.9%
Other values (4) 60
 
2.0%
Decimal Number
ValueCountFrequency (%)
2 2812
30.0%
5 2520
26.8%
0 909
 
9.7%
1 690
 
7.3%
8 638
 
6.8%
9 592
 
6.3%
4 427
 
4.5%
3 359
 
3.8%
6 248
 
2.6%
7 193
 
2.1%
Other Punctuation
ValueCountFrequency (%)
% 2196
58.7%
/ 777
 
20.8%
. 620
 
16.6%
: 147
 
3.9%
Connector Punctuation
ValueCountFrequency (%)
_ 302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13457
55.3%
Latin 10860
44.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1205
 
11.1%
t 947
 
8.7%
g 879
 
8.1%
E 773
 
7.1%
r 701
 
6.5%
B 676
 
6.2%
u 540
 
5.0%
a 492
 
4.5%
C 487
 
4.5%
A 486
 
4.5%
Other values (23) 3674
33.8%
Common
ValueCountFrequency (%)
2 2812
20.9%
5 2520
18.7%
% 2196
16.3%
0 909
 
6.8%
/ 777
 
5.8%
1 690
 
5.1%
8 638
 
4.7%
. 620
 
4.6%
9 592
 
4.4%
4 427
 
3.2%
Other values (6) 1276
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2812
 
11.6%
5 2520
 
10.4%
% 2196
 
9.0%
e 1205
 
5.0%
t 947
 
3.9%
0 909
 
3.7%
g 879
 
3.6%
/ 777
 
3.2%
E 773
 
3.2%
r 701
 
2.9%
Other values (39) 10598
43.6%

Interactions

2024-05-11T00:12:18.601283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:07.953202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:10.052470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:13.388302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:15.260878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:16.869675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:18.995317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:08.196082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:10.515474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:13.788232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:15.493788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:17.128839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:19.238022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:08.472229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:11.079517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:14.133381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:15.768638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:17.417039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:19.734341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:08.965924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:11.819127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:14.414768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:16.034302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:17.707637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:19.993110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:09.261456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:12.287079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:14.663240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:16.276604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:18.013957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:20.287981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:09.614787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:12.991792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:14.960906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:16.561157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:12:18.306569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T00:12:36.616454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체험코스 아이디체험코스 제목좋아요 수조회 수등록일자체험코스 시간해당 미래유산의 체험순서x 좌표y 좌표
체험코스 아이디1.0001.0000.5810.4351.0000.5130.3040.4330.433
체험코스 제목1.0001.0001.0001.0001.0001.0000.0000.9600.960
좋아요 수0.5811.0001.0000.8931.0000.8300.0000.6630.663
조회 수0.4351.0000.8931.0001.0000.8500.3920.5080.508
등록일자1.0001.0001.0001.0001.0001.0000.0000.9600.960
체험코스 시간0.5131.0000.8300.8501.0001.0000.2600.4620.462
해당 미래유산의 체험순서0.3040.0000.0000.3920.0000.2601.0000.0000.000
x 좌표0.4330.9600.6630.5080.9600.4620.0001.0001.000
y 좌표0.4330.9600.6630.5080.9600.4620.0001.0001.000
2024-05-11T00:12:36.996218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체험코스 시간체험코스 제목등록일자
체험코스 시간1.0000.9080.908
체험코스 제목0.9081.0001.000
등록일자0.9081.0001.000
2024-05-11T00:12:37.359788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체험코스 아이디좋아요 수조회 수해당 미래유산의 체험순서x 좌표y 좌표체험코스 제목등록일자체험코스 시간
체험코스 아이디1.000-0.616-0.872-0.226-0.059-0.0590.8950.8950.543
좋아요 수-0.6161.0000.7590.236-0.023-0.0230.9130.9130.635
조회 수-0.8720.7591.0000.2540.0710.0710.9030.9030.755
해당 미래유산의 체험순서-0.2260.2360.2541.0000.0940.0940.0000.0000.132
x 좌표-0.059-0.0230.0710.0941.0001.0000.6920.6920.263
y 좌표-0.059-0.0230.0710.0941.0001.0000.6920.6920.263
체험코스 제목0.8950.9130.9030.0000.6920.6921.0001.0000.908
등록일자0.8950.9130.9030.0000.6920.6921.0001.0000.908
체험코스 시간0.5430.6350.7550.1320.2630.2630.9080.9081.000

Missing values

2024-05-11T00:12:20.759111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T00:12:21.304678image/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.
2024-05-11T00:12:21.683015image/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

체험코스 아이디체험코스 썸네일 경로체험코스 제목좋아요 수조회 수등록일자체험코스 시간해당 미래유산의 체험순서미래유산명x 좌표y 좌표미래유산 소재지미래유산 썸네일 경로
050005http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg머리부터 발끝까지 충격! 서울 패션의 중심지0192023-12-20 17:49:33.03시간3동대문패션타운127.008687127.008687중구 장충단로 263http://futureheritage.seoul.go.kr/HeritageImg/heritage/2013077/jpg/2013077_001_thumb.jpg
150005http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg머리부터 발끝까지 충격! 서울 패션의 중심지0192023-12-20 17:49:33.03시간1동대문종합시장(A,B,C동)127.00764127.00764종로구 종로 266 내http://futureheritage.seoul.go.kr/HeritageImg/heritage/2013075/jpg/2013075_001_thumb.jpg
250005http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg머리부터 발끝까지 충격! 서울 패션의 중심지0192023-12-20 17:49:33.03시간2동대문신발종합상가(A동)127.010672127.010672종로구 청계천로 295http://futureheritage.seoul.go.kr/HeritageImg/heritage/20140326154405_%25EB%258F%2599%25EB%258C%2580%25EB%25AC%25B8%25EC%258B%25A0%25EB%25B0%259C%25EC%25A2%2585%25ED%2595%25A9%25EC%2583%2581%25EA%25B0%2580A%25EB%258F%2599%25EC%25B8%25A1%25EB%25A9%25B4.jpg
350025http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg가을바람과 함께 동심 가득 상상의 나라로 떠나요0362023-12-20 17:45:40.02시간1어린이대공원127.080848127.080848광진구 능동로 216http://futureheritage.seoul.go.kr/HeritageImg/heritage/20171016172402_07_thumb.jpg
450025http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg가을바람과 함께 동심 가득 상상의 나라로 떠나요0362023-12-20 17:45:40.02시간3청룡열차127.078772127.078772광진구 능동로 216https://futureheritage.seoul.go.kr/HeritageImg/multimedia/20230918113922_%25EC%25B2%25AD%25EB%25A3%25A1%25EC%2597%25B4%25EC%25B0%25A8_001_%25EC%2596%25B4%25EB%25A6%25B0%25EC%259D%25B4%25EB%258C%2580%25EA%25B3%25B5%25EC%259B%2590.jpg
550025http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg가을바람과 함께 동심 가득 상상의 나라로 떠나요0362023-12-20 17:45:40.02시간2어린이대공원 꿈마루127.078772127.078772광진구 능동로 216http://futureheritage.seoul.go.kr/HeritageImg/heritage/20210928162611_2020012_016_%25EC%2596%25B4%25EB%25A6%25B0%25EC%259D%25B4%25EB%258C%2580%25EA%25B3%25B5%25EC%259B%2590%25EA%25BF%2588%25EB%25A7%2588%25EB%25A3%25A83%25EC%25B8%25B5%25ED%2586%25B5%25EB%25A1%259C2_thumb.jpg
650004http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg신비롭고 웅장한 궁이 품은 서울의 중심지를 만나다1312023-12-20 17:40:52.04시간1지하철 경복궁 역사126.973419126.973419종로구 사직로 130 지하http://futureheritage.seoul.go.kr/HeritageImg/multimedia/20200113133156_%25EC%25A7%2580%25ED%2595%2598%25EC%25B2%25A0%25EA%25B2%25BD%25EB%25B3%25B5%25EA%25B6%2581%25EC%2597%25AD%25EC%2582%25AC_%25EC%25A1%25B0%25EA%25B0%25811.JPG
750004http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg신비롭고 웅장한 궁이 품은 서울의 중심지를 만나다1312023-12-20 17:40:52.04시간4서울의 중심점 표지석126.985365126.985365종로구 인사동5길 25http://futureheritage.seoul.go.kr/HeritageImg/heritage/20140326134250_%25EC%2584%259C%25EC%259A%25B8%25EC%259D%2598%25EC%25A4%2591%25EC%258B%25AC%25EC%25A0%2590%25ED%2591%259C%25EC%25A7%2580%25EC%2584%259D%25EC%259D%25B4%25EC%259E%2588%25EB%258A%2594%25ED%2595%2598%25EB%2582%2598%25EB%25A1%259C%25EB%25B9%258C%25EB%2594%25A9%25EC%25A0%2584%25EA%25B2%25BD.jpg
850004http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg신비롭고 웅장한 궁이 품은 서울의 중심지를 만나다1312023-12-20 17:40:52.04시간3광화문 지하보도126.976894126.976894종로구 세종대로 175http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202180937_SNAG-0170.jpg
950004http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg신비롭고 웅장한 궁이 품은 서울의 중심지를 만나다1312023-12-20 17:40:52.04시간2대한민국역사박물관126.977812126.977812종로구 세종대로 198http://futureheritage.seoul.go.kr/HeritageImg/heritage/20140326132210_1.JPG
체험코스 아이디체험코스 썸네일 경로체험코스 제목좋아요 수조회 수등록일자체험코스 시간해당 미래유산의 체험순서미래유산명x 좌표y 좌표미래유산 소재지미래유산 썸네일 경로
16863http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간7장충체육관127.006817127.006817중구 동호로 241http://futureheritage.seoul.go.kr/HeritageImg/heritage/2013231/jpg/2013231_001_thumb.jpg
16963http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간9장충동 족발골목127.005894127.005894중구 장충단로 174-1 일대http://futureheritage.seoul.go.kr/HeritageImg/heritage/20140326155212_%25EC%259E%25A5%25EC%25B6%25A9%25EB%258F%2599%25EC%25A1%25B1%25EB%25B0%259C%25EA%25B3%25A8%25EB%25AA%25A9%25EC%25A0%2584%25EA%25B2%25BD1.jpg
17063http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간8<NA><NA><NA><NA>94057621aeed418fd5c8470a2d7519ec_thumb.jpg
17163http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간3<NA><NA><NA><NA>71656df8418d386a8c1162c7aebfb63c_thumb.jpg
17263http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간0<NA><NA><NA><NA>774fe0904abb261cefd8f430165c719b_thumb.jpg
17363http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간4국립극장126.999728126.999728중구 장충단로 59https://futureheritage.seoul.go.kr/HeritageImg/multimedia/20230113102151_%25ED%2581%25AC%25EA%25B8%25B0%25EB%25B3%2580%25ED%2599%2598220920_005%25EA%25B5%25AD%25EB%25A6%25BD%25EA%25B7%25B9%25EC%259E%25A5%25ED%2595%25B4%25EC%2598%25A4%25EB%25A6%2584%25EA%25B7%25B9%25EC%259E%25A5.jpeg
17463http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간6장충리틀야구장127.003615127.003615장충동2가 197http://futureheritage.seoul.go.kr/HeritageImg/heritage/20140326115206_%25EC%259E%25A5%25EC%25B6%25A9%25EB%25A6%25AC%25ED%258B%2580%25EC%2595%25BC%25EA%25B5%25AC%25EC%259E%25A5%25EC%25A0%2584%25EA%25B2%25BD.jpg
17563http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간5장충테니스장127.002218127.002218중구 장충단로 내http://futureheritage.seoul.go.kr/HeritageImg/heritage/2013232/jpg/2013232_001_thumb.jpg
17663http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간2<NA><NA><NA><NA>5d77005e3d43a759da5810be1046a517_thumb.jpg
17763http://futureheritage.seoul.go.kr/HeritageImg/heritage/20150202163509_SNAG-0141.jpg광희동에서 장충동까지, 한양도성 따라 만나는 지난 100년8157662016-10-06 00:00:00.0약 3시간1<NA><NA><NA><NA>37b4f4008f6b6d704145bd2deb045c54_thumb.jpg