Overview

Dataset statistics

Number of variables8
Number of observations50
Missing cells49
Missing cells (%)12.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory68.6 B

Variable types

Numeric2
Text4
Categorical1
DateTime1

Dataset

Description사진 관리번호,구간 관리번호,사진 제목,사진 파일,사진 파일 저장경로,사진 설명,등록일,최종수정일
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15366/S/1/datasetView.do

Alerts

사진 설명 has constant value ""Constant
사진 관리번호 is highly overall correlated with 등록일High correlation
등록일 is highly overall correlated with 사진 관리번호High correlation
등록일 is highly imbalanced (70.5%)Imbalance
사진 설명 has 49 (98.0%) missing valuesMissing
사진 관리번호 has unique valuesUnique
사진 파일 has unique valuesUnique
사진 파일 저장경로 has unique valuesUnique
최종수정일 has unique valuesUnique

Reproduction

Analysis started2024-05-18 06:23:05.782839
Analysis finished2024-05-18 06:23:08.568359
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사진 관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.92
Minimum2
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-18T15:23:08.827262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8.95
Q124.25
median36.5
Q348.75
95-th percentile58.55
Maximum62
Range60
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation15.7504
Coefficient of variation (CV)0.43848553
Kurtosis-0.68472103
Mean35.92
Median Absolute Deviation (MAD)12.5
Skewness-0.27680638
Sum1796
Variance248.0751
MonotonicityStrictly increasing
2024-05-18T15:23:09.655218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
2.0%
50 1
 
2.0%
40 1
 
2.0%
41 1
 
2.0%
42 1
 
2.0%
43 1
 
2.0%
44 1
 
2.0%
45 1
 
2.0%
46 1
 
2.0%
47 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
2 1
2.0%
3 1
2.0%
4 1
2.0%
15 1
2.0%
16 1
2.0%
17 1
2.0%
18 1
2.0%
19 1
2.0%
20 1
2.0%
21 1
2.0%
ValueCountFrequency (%)
62 1
2.0%
60 1
2.0%
59 1
2.0%
58 1
2.0%
57 1
2.0%
56 1
2.0%
55 1
2.0%
54 1
2.0%
53 1
2.0%
52 1
2.0%

구간 관리번호
Real number (ℝ)

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-18T15:23:10.105883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.6365492
Coefficient of variation (CV)0.62699123
Kurtosis-1.3749951
Mean5.8
Median Absolute Deviation (MAD)3
Skewness0.11457749
Sum290
Variance13.22449
MonotonicityNot monotonic
2024-05-18T15:23:10.475901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 10
20.0%
7 10
20.0%
11 10
20.0%
1 10
20.0%
5 5
10.0%
9 5
10.0%
ValueCountFrequency (%)
1 10
20.0%
3 10
20.0%
5 5
10.0%
7 10
20.0%
9 5
10.0%
11 10
20.0%
ValueCountFrequency (%)
11 10
20.0%
9 5
10.0%
7 10
20.0%
5 5
10.0%
3 10
20.0%
1 10
20.0%

사진 제목
Text

Distinct44
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-18T15:23:11.078239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.7
Min length3

Characters and Unicode

Total characters385
Distinct characters117
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

Unique38 ?
Unique (%)76.0%

Sample

1st row혜화문
2nd row혜화문~낙산초입
3rd row혜화문~낙산초입
4th row낙산 제3전망광장 부근
5th row장수마을 부근 암문
ValueCountFrequency (%)
부근 24
24.5%
암문 6
 
6.1%
백범광장 3
 
3.1%
혜화문~낙산초입 2
 
2.0%
우수조망명소 2
 
2.0%
숭례문 2
 
2.0%
인왕산 2
 
2.0%
터 2
 
2.0%
흥인지문 2
 
2.0%
낙산정상 2
 
2.0%
Other values (51) 51
52.0%
2024-05-18T15:23:12.290738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
12.5%
근 25
 
6.5%
부 25
 
6.5%
문 24
 
6.2%
산 10
 
2.6%
장 8
 
2.1%
화 6
 
1.6%
서 6
 
1.6%
암 6
 
1.6%
수 6
 
1.6%
Other values (107) 221
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
84.7%
Space Separator 48
 
12.5%
Math Symbol 4
 
1.0%
Uppercase Letter 2
 
0.5%
Other Punctuation 2
 
0.5%
Open Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 25
 
7.7%
부 25
 
7.7%
문 24
 
7.4%
산 10
 
3.1%
장 8
 
2.5%
화 6
 
1.8%
서 6
 
1.8%
암 6
 
1.8%
수 6
 
1.8%
공 6
 
1.8%
Other values (100) 204
62.6%
Space Separator
ValueCountFrequency (%)
48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
84.7%
Common 57
 
14.8%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 25
 
7.7%
부 25
 
7.7%
문 24
 
7.4%
산 10
 
3.1%
장 8
 
2.5%
화 6
 
1.8%
서 6
 
1.8%
암 6
 
1.8%
수 6
 
1.8%
공 6
 
1.8%
Other values (100) 204
62.6%
Common
ValueCountFrequency (%)
48
84.2%
~ 4
 
7.0%
? 2
 
3.5%
( 1
 
1.8%
3 1
 
1.8%
) 1
 
1.8%
Latin
ValueCountFrequency (%)
N 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
84.7%
ASCII 59
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
81.4%
~ 4
 
6.8%
N 2
 
3.4%
? 2
 
3.4%
( 1
 
1.7%
3 1
 
1.7%
) 1
 
1.7%
Hangul
ValueCountFrequency (%)
근 25
 
7.7%
부 25
 
7.7%
문 24
 
7.4%
산 10
 
3.1%
장 8
 
2.5%
화 6
 
1.8%
서 6
 
1.8%
암 6
 
1.8%
수 6
 
1.8%
공 6
 
1.8%
Other values (100) 204
62.6%

사진 파일
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-18T15:23:13.066724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters1050
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowSCP_1392619004716.jpg
2nd rowSCP_1392619033622.jpg
3rd rowSCP_1392619065807.jpg
4th rowSCP_1392619105259.jpg
5th rowSCP_1392619158607.jpg
ValueCountFrequency (%)
scp_1392619004716.jpg 1
 
2.0%
scp_1392625138754.jpg 1
 
2.0%
scp_1392618920529.jpg 1
 
2.0%
scp_1392621156291.jpg 1
 
2.0%
scp_1392621181327.jpg 1
 
2.0%
scp_1392621630212.jpg 1
 
2.0%
scp_1392621656548.jpg 1
 
2.0%
scp_1392624690543.jpg 1
 
2.0%
scp_1392624985566.jpg 1
 
2.0%
scp_1392625017791.jpg 1
 
2.0%
Other values (40) 40
80.0%
2024-05-18T15:23:14.365569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 110
 
10.5%
2 105
 
10.0%
9 96
 
9.1%
3 79
 
7.5%
6 74
 
7.0%
S 50
 
4.8%
p 50
 
4.8%
P 50
 
4.8%
_ 50
 
4.8%
C 50
 
4.8%
Other values (8) 336
32.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 650
61.9%
Uppercase Letter 150
 
14.3%
Lowercase Letter 150
 
14.3%
Connector Punctuation 50
 
4.8%
Other Punctuation 50
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 110
16.9%
2 105
16.2%
9 96
14.8%
3 79
12.2%
6 74
11.4%
5 46
7.1%
0 44
 
6.8%
7 34
 
5.2%
8 33
 
5.1%
4 29
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 50
33.3%
P 50
33.3%
C 50
33.3%
Lowercase Letter
ValueCountFrequency (%)
p 50
33.3%
g 50
33.3%
j 50
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%
Other Punctuation
ValueCountFrequency (%)
. 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 750
71.4%
Latin 300
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 110
14.7%
2 105
14.0%
9 96
12.8%
3 79
10.5%
6 74
9.9%
_ 50
6.7%
. 50
6.7%
5 46
6.1%
0 44
 
5.9%
7 34
 
4.5%
Other values (2) 62
8.3%
Latin
ValueCountFrequency (%)
S 50
16.7%
p 50
16.7%
P 50
16.7%
C 50
16.7%
g 50
16.7%
j 50
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 110
 
10.5%
2 105
 
10.0%
9 96
 
9.1%
3 79
 
7.5%
6 74
 
7.0%
S 50
 
4.8%
p 50
 
4.8%
P 50
 
4.8%
_ 50
 
4.8%
C 50
 
4.8%
Other values (8) 336
32.0%

사진 파일 저장경로
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-18T15:23:15.681556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length118
Mean length118
Min length118

Characters and Unicode

Total characters5900
Distinct characters42
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowhttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619004716.jpg&filePath=coursephotothumb
2nd rowhttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619033622.jpg&filePath=coursephotothumb
3rd rowhttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619065807.jpg&filePath=coursephotothumb
4th rowhttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619105259.jpg&filePath=coursephotothumb
5th rowhttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619158607.jpg&filePath=coursephotothumb
ValueCountFrequency (%)
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392619004716.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392625138754.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392618920529.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392621156291.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392621181327.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392621630212.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392621656548.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392624690543.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392624985566.jpg&filepath=coursephotothumb 1
 
2.0%
https://seoulcitywall.seoul.go.kr/child/file/getimage2.do?filephysical=scp_1392625017791.jpg&filepath=coursephotothumb 1
 
2.0%
Other values (40) 40
80.0%
2024-05-18T15:23:17.650140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 450
 
7.6%
e 400
 
6.8%
t 350
 
5.9%
o 350
 
5.9%
h 300
 
5.1%
i 300
 
5.1%
s 250
 
4.2%
/ 250
 
4.2%
. 250
 
4.2%
g 200
 
3.4%
Other values (32) 2800
47.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4100
69.5%
Decimal Number 700
 
11.9%
Other Punctuation 650
 
11.0%
Uppercase Letter 300
 
5.1%
Math Symbol 100
 
1.7%
Connector Punctuation 50
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 450
11.0%
e 400
 
9.8%
t 350
 
8.5%
o 350
 
8.5%
h 300
 
7.3%
i 300
 
7.3%
s 250
 
6.1%
g 200
 
4.9%
a 200
 
4.9%
c 200
 
4.9%
Other values (11) 1100
26.8%
Decimal Number
ValueCountFrequency (%)
2 155
22.1%
1 110
15.7%
9 96
13.7%
3 79
11.3%
6 74
10.6%
5 46
 
6.6%
0 44
 
6.3%
7 34
 
4.9%
8 33
 
4.7%
4 29
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 250
38.5%
. 250
38.5%
& 50
 
7.7%
? 50
 
7.7%
: 50
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
P 150
50.0%
I 50
 
16.7%
C 50
 
16.7%
S 50
 
16.7%
Math Symbol
ValueCountFrequency (%)
= 100
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4400
74.6%
Common 1500
 
25.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 450
 
10.2%
e 400
 
9.1%
t 350
 
8.0%
o 350
 
8.0%
h 300
 
6.8%
i 300
 
6.8%
s 250
 
5.7%
g 200
 
4.5%
a 200
 
4.5%
c 200
 
4.5%
Other values (15) 1400
31.8%
Common
ValueCountFrequency (%)
/ 250
16.7%
. 250
16.7%
2 155
10.3%
1 110
 
7.3%
= 100
 
6.7%
9 96
 
6.4%
3 79
 
5.3%
6 74
 
4.9%
& 50
 
3.3%
_ 50
 
3.3%
Other values (7) 286
19.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 450
 
7.6%
e 400
 
6.8%
t 350
 
5.9%
o 350
 
5.9%
h 300
 
5.1%
i 300
 
5.1%
s 250
 
4.2%
/ 250
 
4.2%
. 250
 
4.2%
g 200
 
3.4%
Other values (32) 2800
47.5%

사진 설명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing49
Missing (%)98.0%
Memory size532.0 B
2024-05-18T15:23:18.287996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length292
Median length292
Mean length292
Min length292

Characters and Unicode

Total characters292
Distinct characters114
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

Unique1 ?
Unique (%)100.0%

Sample

1st row혜화동 옛 시장공관은 다양한 서울시의 정책이 논의되는 일터이자, 서울시장이 하루를 마치고 휴식을 취하는 집이였다. 공관은 국내외의 손님이 초대회는 행사장 이였으며 1981년 박영수 시장부터 2013년까지 역대 서울시장이 거주했다. 한양도성의 성벽을 담장으로 사용하고 있어 철거 논란이 있었으나 역사적 가치를 인정받아 보존하기로 결정하여 한양도성 순성길의 쉼터이자 시민들을 위한 공간으로 재탄생하였다. 전시실에는 순성놀이 기록, 혜화동 주변 모형지도, 지도로 보는 한양도성과 역대 시장의 영상 및 기증품 등이 전시되어 있다.
ValueCountFrequency (%)
혜화동 2
 
3.1%
역대 2
 
3.1%
서울시장이 2
 
3.1%
전시실에는 1
 
1.6%
역사적 1
 
1.6%
가치를 1
 
1.6%
인정받아 1
 
1.6%
보존하기로 1
 
1.6%
결정하여 1
 
1.6%
한양도성 1
 
1.6%
Other values (51) 51
79.7%
2024-05-18T15:23:19.315908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
21.6%
이 11
 
3.8%
시 9
 
3.1%
장 7
 
2.4%
성 6
 
2.1%
의 6
 
2.1%
하 6
 
2.1%
는 5
 
1.7%
한 5
 
1.7%
다 5
 
1.7%
Other values (104) 169
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
73.3%
Space Separator 63
 
21.6%
Decimal Number 8
 
2.7%
Other Punctuation 7
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
5.1%
시 9
 
4.2%
장 7
 
3.3%
성 6
 
2.8%
의 6
 
2.8%
하 6
 
2.8%
는 5
 
2.3%
한 5
 
2.3%
다 5
 
2.3%
도 5
 
2.3%
Other values (95) 149
69.6%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
9 1
 
12.5%
8 1
 
12.5%
2 1
 
12.5%
0 1
 
12.5%
3 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
, 3
42.9%
Space Separator
ValueCountFrequency (%)
63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
73.3%
Common 78
 
26.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11
 
5.1%
시 9
 
4.2%
장 7
 
3.3%
성 6
 
2.8%
의 6
 
2.8%
하 6
 
2.8%
는 5
 
2.3%
한 5
 
2.3%
다 5
 
2.3%
도 5
 
2.3%
Other values (95) 149
69.6%
Common
ValueCountFrequency (%)
63
80.8%
. 4
 
5.1%
, 3
 
3.8%
1 3
 
3.8%
9 1
 
1.3%
8 1
 
1.3%
2 1
 
1.3%
0 1
 
1.3%
3 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
73.3%
ASCII 78
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
80.8%
. 4
 
5.1%
, 3
 
3.8%
1 3
 
3.8%
9 1
 
1.3%
8 1
 
1.3%
2 1
 
1.3%
0 1
 
1.3%
3 1
 
1.3%
Hangul
ValueCountFrequency (%)
이 11
 
5.1%
시 9
 
4.2%
장 7
 
3.3%
성 6
 
2.8%
의 6
 
2.8%
하 6
 
2.8%
는 5
 
2.3%
한 5
 
2.3%
다 5
 
2.3%
도 5
 
2.3%
Other values (95) 149
69.6%

등록일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2014-01-15 00:00:00.0
46 
2014-01-13 00:00:00.0
 
3
2017-03-23 16:33:11.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row2014-01-13 00:00:00.0
2nd row2014-01-13 00:00:00.0
3rd row2014-01-13 00:00:00.0
4th row2014-01-15 00:00:00.0
5th row2014-01-15 00:00:00.0

Common Values

ValueCountFrequency (%)
2014-01-15 00:00:00.0 46
92.0%
2014-01-13 00:00:00.0 3
 
6.0%
2017-03-23 16:33:11.0 1
 
2.0%

Length

2024-05-18T15:23:19.810640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T15:23:20.334618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00.0 49
49.0%
2014-01-15 46
46.0%
2014-01-13 3
 
3.0%
2017-03-23 1
 
1.0%
16:33:11.0 1
 
1.0%

최종수정일
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2014-02-17 15:29:37
Maximum2017-03-23 16:40:14
2024-05-18T15:23:20.870080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T15:23:21.468450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-05-18T15:23:07.303688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T15:23:06.631245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T15:23:07.550858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T15:23:07.005294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T15:23:21.822948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사진 관리번호구간 관리번호사진 제목사진 파일사진 파일 저장경로등록일최종수정일
사진 관리번호1.0000.9320.9901.0001.0000.9421.000
구간 관리번호0.9321.0000.9891.0001.0000.5561.000
사진 제목0.9900.9891.0001.0001.0001.0001.000
사진 파일1.0001.0001.0001.0001.0001.0001.000
사진 파일 저장경로1.0001.0001.0001.0001.0001.0001.000
등록일0.9420.5561.0001.0001.0001.0001.000
최종수정일1.0001.0001.0001.0001.0001.0001.000
2024-05-18T15:23:22.172952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사진 관리번호구간 관리번호등록일
사진 관리번호1.0000.0060.668
구간 관리번호0.0061.0000.261
등록일0.6680.2611.000

Missing values

2024-05-18T15:23:07.954539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T15:23:08.399999image/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

사진 관리번호구간 관리번호사진 제목사진 파일사진 파일 저장경로사진 설명등록일최종수정일
023혜화문SCP_1392619004716.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619004716.jpg&filePath=coursephotothumb<NA>2014-01-13 00:00:00.02014-02-17 15:36:44.0
133혜화문~낙산초입SCP_1392619033622.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619033622.jpg&filePath=coursephotothumb<NA>2014-01-13 00:00:00.02014-02-17 15:37:13.0
243혜화문~낙산초입SCP_1392619065807.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619065807.jpg&filePath=coursephotothumb<NA>2014-01-13 00:00:00.02014-02-17 15:37:45.0
3153낙산 제3전망광장 부근SCP_1392619105259.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619105259.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:38:25.0
4163장수마을 부근 암문SCP_1392619158607.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619158607.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:39:18.0
5173낙산정상 부근SCP_1392619182908.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619182908.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:39:42.0
6183낙산정상 부근SCP_1392619246998.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619246998.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:40:47.0
7193낙산성곽SCP_1392619297519.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619297519.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:41:37.0
8203흥인지문SCP_1392619284405.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619284405.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:41:24.0
9213흥인지문SCP_1392619359752.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392619359752.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:42:39.0
사진 관리번호구간 관리번호사진 제목사진 파일사진 파일 저장경로사진 설명등록일최종수정일
40521와룡공원~말바위안내소SCP_1392618472601.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618472601.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:31:03.0
41531창의문SCP_1392618577198.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618577198.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:29:37.0
42541창의문~백악마루SCP_1392618654775.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618654775.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:30:54.0
43551돌고래쉼터 부근SCP_1392618727093.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618727093.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:32:07.0
44561백악쉼터 부근SCP_1392618759081.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618759081.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:32:39.0
45571청운대 부근SCP_1392618792083.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618792083.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:33:12.0
46581암문 부근SCP_1392618819343.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618819343.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:33:39.0
47591숙정문 부근SCP_1392618873735.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618873735.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:34:33.0
48601와룡공원 부근SCP_1392618920529.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1392618920529.jpg&filePath=coursephotothumb<NA>2014-01-15 00:00:00.02014-02-17 15:35:20.0
49621혜화동 전시?안내센터(옛 시장공관)SCP_1490254391325.jpghttps://seoulcitywall.seoul.go.kr/child/file/getImage2.do?filePhysical=SCP_1490254391325.jpg&filePath=coursephotothumb혜화동 옛 시장공관은 다양한 서울시의 정책이 논의되는 일터이자, 서울시장이 하루를 마치고 휴식을 취하는 집이였다. 공관은 국내외의 손님이 초대회는 행사장 이였으며 1981년 박영수 시장부터 2013년까지 역대 서울시장이 거주했다. 한양도성의 성벽을 담장으로 사용하고 있어 철거 논란이 있었으나 역사적 가치를 인정받아 보존하기로 결정하여 한양도성 순성길의 쉼터이자 시민들을 위한 공간으로 재탄생하였다. 전시실에는 순성놀이 기록, 혜화동 주변 모형지도, 지도로 보는 한양도성과 역대 시장의 영상 및 기증품 등이 전시되어 있다.2017-03-23 16:33:11.02017-03-23 16:40:14.0