Overview

Dataset statistics

Number of variables7
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory63.7 B

Variable types

Numeric2
Text5

Dataset

Description순번,제목,내용,첨부파일명,첨부파일경로,조회수,첨부파일원본명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15428/S/1/datasetView.do

Alerts

순번 is highly overall correlated with 조회수High correlation
조회수 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
내용 has unique valuesUnique
첨부파일명 has unique valuesUnique
첨부파일경로 has unique valuesUnique
조회수 has unique valuesUnique

Reproduction

Analysis started2024-05-18 03:29:38.330132
Analysis finished2024-05-18 03:29:45.902613
Duration7.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.913043
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-18T12:29:46.286720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median13
Q319.5
95-th percentile23.9
Maximum25
Range24
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.6271825
Coefficient of variation (CV)0.59065723
Kurtosis-1.3178752
Mean12.913043
Median Absolute Deviation (MAD)7
Skewness0.031178492
Sum297
Variance58.173913
MonotonicityNot monotonic
2024-05-18T12:29:46.862472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7 1
 
4.3%
1 1
 
4.3%
24 1
 
4.3%
23 1
 
4.3%
18 1
 
4.3%
15 1
 
4.3%
22 1
 
4.3%
12 1
 
4.3%
10 1
 
4.3%
21 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
25 1
4.3%
24 1
4.3%
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
16 1
4.3%
15 1
4.3%

제목
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-18T12:29:47.541134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length16.086957
Min length4

Characters and Unicode

Total characters370
Distinct characters107
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

Unique21 ?
Unique (%)91.3%

Sample

1st row'서울, 테마산책길' 책자 출간 안내
2nd row서울 둘레길 지도
3rd row서울 둘레길 가이드북
4th row서울 둘레길 노래
5th row서울둘레길 스탬프북
ValueCountFrequency (%)
서울둘레길 10
 
13.9%
서울 6
 
8.3%
둘레길 5
 
6.9%
스탬프북(인쇄용 2
 
2.8%
서울둘레길2.0지도(21코스 2
 
2.8%
지도 2
 
2.8%
스탬프 2
 
2.8%
신청서 1
 
1.4%
관련 1
 
1.4%
이미지 1
 
1.4%
Other values (40) 40
55.6%
2024-05-18T12:29:48.731697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
13.5%
서 24
 
6.5%
울 21
 
5.7%
길 20
 
5.4%
둘 18
 
4.9%
레 18
 
4.9%
스 10
 
2.7%
2 9
 
2.4%
( 9
 
2.4%
) 9
 
2.4%
Other values (97) 182
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
69.2%
Space Separator 50
 
13.5%
Decimal Number 22
 
5.9%
Other Punctuation 11
 
3.0%
Open Punctuation 9
 
2.4%
Close Punctuation 9
 
2.4%
Lowercase Letter 7
 
1.9%
Uppercase Letter 6
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 24
 
9.4%
울 21
 
8.2%
길 20
 
7.8%
둘 18
 
7.0%
레 18
 
7.0%
스 10
 
3.9%
프 6
 
2.3%
지 6
 
2.3%
자 5
 
2.0%
도 5
 
2.0%
Other values (76) 123
48.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
28.6%
s 1
14.3%
e 1
14.3%
g 1
14.3%
x 1
14.3%
p 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
33.3%
X 1
16.7%
P 1
16.7%
S 1
16.7%
I 1
16.7%
Other Punctuation
ValueCountFrequency (%)
' 4
36.4%
! 3
27.3%
. 3
27.3%
, 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 9
40.9%
0 8
36.4%
1 5
22.7%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
69.2%
Common 101
 
27.3%
Latin 13
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 24
 
9.4%
울 21
 
8.2%
길 20
 
7.8%
둘 18
 
7.0%
레 18
 
7.0%
스 10
 
3.9%
프 6
 
2.3%
지 6
 
2.3%
자 5
 
2.0%
도 5
 
2.0%
Other values (76) 123
48.0%
Latin
ValueCountFrequency (%)
G 2
15.4%
t 2
15.4%
s 1
7.7%
e 1
7.7%
g 1
7.7%
x 1
7.7%
p 1
7.7%
X 1
7.7%
P 1
7.7%
S 1
7.7%
Common
ValueCountFrequency (%)
50
49.5%
2 9
 
8.9%
( 9
 
8.9%
) 9
 
8.9%
0 8
 
7.9%
1 5
 
5.0%
' 4
 
4.0%
! 3
 
3.0%
. 3
 
3.0%
, 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
69.2%
ASCII 114
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
43.9%
2 9
 
7.9%
( 9
 
7.9%
) 9
 
7.9%
0 8
 
7.0%
1 5
 
4.4%
' 4
 
3.5%
! 3
 
2.6%
. 3
 
2.6%
G 2
 
1.8%
Other values (11) 12
 
10.5%
Hangul
ValueCountFrequency (%)
서 24
 
9.4%
울 21
 
8.2%
길 20
 
7.8%
둘 18
 
7.0%
레 18
 
7.0%
스 10
 
3.9%
프 6
 
2.3%
지 6
 
2.3%
자 5
 
2.0%
도 5
 
2.0%
Other values (76) 123
48.0%

내용
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-18T12:29:49.739168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length325
Median length39
Mean length58.434783
Min length6

Characters and Unicode

Total characters1344
Distinct characters266
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row 서울시는 봄을 맞아 테마가 있는 산책길 40곳, ‘서울, 테마산책길’을 출간했다고 밝혔다. 금번 ‘서울, 테마산책길’ 은 숲이 좋은 길(17곳), 계곡이 좋은 길(2곳), 전망이 좋은 길(10곳), 역사 문화 길(11곳) 4가지 테마로 구분하여 안내하였으며, 코스 소개, 대중 교통, 길안내, 코스 지도 및 사진, 주변 볼거리와 그 길에서만 만날 수 있는 다양한 이야기를 담아 엮었으며, 특히 핸드북 크기로 제작되어 가볍게 읽을 수 있다.
2nd row서울 둘레길 지도입니다. 첨부파일을 다운받아 보세요.
3rd row서울 둘레길 가이드북입니다. 첨부파일로 다운받아 보세요.
4th row서울 둘레길 노래(음악, 영상)입니다. 첨부파일을 다운받아 보세요.
5th row서울둘레길 스탬프북 pdf 파일입니다.
ValueCountFrequency (%)
서울둘레길 9
 
3.2%
다운받아 7
 
2.5%
있는 5
 
1.8%
지도 4
 
1.4%
수 4
 
1.4%
서울 4
 
1.4%
둘레길 4
 
1.4%
코스 4
 
1.4%
보세요 4
 
1.4%
4
 
1.4%
Other values (200) 233
82.6%
2024-05-18T12:29:51.294421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
20.9%
다 35
 
2.6%
. 35
 
2.6%
서 30
 
2.2%
길 28
 
2.1%
울 22
 
1.6%
니 22
 
1.6%
, 19
 
1.4%
하 17
 
1.3%
스 16
 
1.2%
Other values (256) 839
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 856
63.7%
Space Separator 281
 
20.9%
Other Punctuation 69
 
5.1%
Lowercase Letter 57
 
4.2%
Decimal Number 42
 
3.1%
Close Punctuation 12
 
0.9%
Open Punctuation 12
 
0.9%
Modifier Symbol 6
 
0.4%
Final Punctuation 4
 
0.3%
Initial Punctuation 3
 
0.2%
Other values (2) 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 35
 
4.1%
서 30
 
3.5%
길 28
 
3.3%
울 22
 
2.6%
니 22
 
2.6%
하 17
 
2.0%
스 16
 
1.9%
레 16
 
1.9%
둘 15
 
1.8%
이 15
 
1.8%
Other values (208) 640
74.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
 
10.5%
r 5
 
8.8%
t 5
 
8.8%
n 4
 
7.0%
e 4
 
7.0%
l 3
 
5.3%
p 3
 
5.3%
k 3
 
5.3%
m 3
 
5.3%
a 3
 
5.3%
Other values (13) 18
31.6%
Decimal Number
ValueCountFrequency (%)
2 11
26.2%
1 11
26.2%
0 10
23.8%
4 3
 
7.1%
3 2
 
4.8%
6 2
 
4.8%
9 1
 
2.4%
5 1
 
2.4%
7 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 35
50.7%
, 19
27.5%
/ 8
 
11.6%
' 3
 
4.3%
: 2
 
2.9%
@ 1
 
1.4%
？ 1
 
1.4%
Final Punctuation
ValueCountFrequency (%)
’ 3
75.0%
” 1
 
25.0%
Space Separator
ValueCountFrequency (%)
281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 6
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 856
63.7%
Common 431
32.1%
Latin 57
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 35
 
4.1%
서 30
 
3.5%
길 28
 
3.3%
울 22
 
2.6%
니 22
 
2.6%
하 17
 
2.0%
스 16
 
1.9%
레 16
 
1.9%
둘 15
 
1.8%
이 15
 
1.8%
Other values (208) 640
74.8%
Common
ValueCountFrequency (%)
281
65.2%
. 35
 
8.1%
, 19
 
4.4%
) 12
 
2.8%
( 12
 
2.8%
2 11
 
2.6%
1 11
 
2.6%
0 10
 
2.3%
/ 8
 
1.9%
^ 6
 
1.4%
Other values (15) 26
 
6.0%
Latin
ValueCountFrequency (%)
o 6
 
10.5%
r 5
 
8.8%
t 5
 
8.8%
n 4
 
7.0%
e 4
 
7.0%
l 3
 
5.3%
p 3
 
5.3%
k 3
 
5.3%
m 3
 
5.3%
a 3
 
5.3%
Other values (13) 18
31.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 856
63.7%
ASCII 480
35.7%
Punctuation 7
 
0.5%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
58.5%
. 35
 
7.3%
, 19
 
4.0%
) 12
 
2.5%
( 12
 
2.5%
2 11
 
2.3%
1 11
 
2.3%
0 10
 
2.1%
/ 8
 
1.7%
o 6
 
1.2%
Other values (34) 75
 
15.6%
Hangul
ValueCountFrequency (%)
다 35
 
4.1%
서 30
 
3.5%
길 28
 
3.3%
울 22
 
2.6%
니 22
 
2.6%
하 17
 
2.0%
스 16
 
1.9%
레 16
 
1.9%
둘 15
 
1.8%
이 15
 
1.8%
Other values (208) 640
74.8%
Punctuation
ValueCountFrequency (%)
’ 3
42.9%
‘ 3
42.9%
” 1
 
14.3%
None
ValueCountFrequency (%)
？ 1
100.0%

첨부파일명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-18T12:29:52.017624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length21
Min length19

Characters and Unicode

Total characters483
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row1458543581724940000.pdf
2nd row1039195657929632.zip
3rd row1039386292804970.zip
4th row1039494568489669.zip
5th row7598856248020258.pdf
ValueCountFrequency (%)
1458543581724940000.pdf 1
 
4.3%
14352827340848185.pdf 1
 
4.3%
7427342012973200.pdf 1
 
4.3%
14600527300522007.hwp 1
 
4.3%
4859899254097498.html 1
 
4.3%
333869396492129.jpg 1
 
4.3%
1606109394526550000.zip 1
 
4.3%
1631864976269542000.zip 1
 
4.3%
39316789725355502.pdf 1
 
4.3%
9669031729729847.pdf 1
 
4.3%
Other values (13) 13
56.5%
2024-05-18T12:29:53.377897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
12.2%
9 49
10.1%
6 40
8.3%
2 39
8.1%
4 35
 
7.2%
8 35
 
7.2%
3 35
 
7.2%
1 34
 
7.0%
5 34
 
7.0%
7 30
 
6.2%
Other values (14) 93
19.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
80.7%
Lowercase Letter 70
 
14.5%
Other Punctuation 23
 
4.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 22
31.4%
f 10
14.3%
d 10
14.3%
z 7
 
10.0%
i 7
 
10.0%
h 4
 
5.7%
w 3
 
4.3%
g 2
 
2.9%
x 1
 
1.4%
j 1
 
1.4%
Other values (3) 3
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 59
15.1%
9 49
12.6%
6 40
10.3%
2 39
10.0%
4 35
9.0%
8 35
9.0%
3 35
9.0%
1 34
8.7%
5 34
8.7%
7 30
7.7%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 413
85.5%
Latin 70
 
14.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 22
31.4%
f 10
14.3%
d 10
14.3%
z 7
 
10.0%
i 7
 
10.0%
h 4
 
5.7%
w 3
 
4.3%
g 2
 
2.9%
x 1
 
1.4%
j 1
 
1.4%
Other values (3) 3
 
4.3%
Common
ValueCountFrequency (%)
0 59
14.3%
9 49
11.9%
6 40
9.7%
2 39
9.4%
4 35
8.5%
8 35
8.5%
3 35
8.5%
1 34
8.2%
5 34
8.2%
7 30
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 483
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
12.2%
9 49
10.1%
6 40
8.3%
2 39
8.1%
4 35
 
7.2%
8 35
 
7.2%
3 35
 
7.2%
1 34
 
7.0%
5 34
 
7.0%
7 30
 
6.2%
Other values (14) 93
19.3%

첨부파일경로
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-18T12:29:54.527310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length72
Mean length71.608696
Min length71

Characters and Unicode

Total characters1647
Distinct characters39
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=7&divi=5
2nd rowhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=1&divi=5
3rd rowhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=2&divi=5
4th rowhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=3&divi=5
5th rowhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=5&divi=5
ValueCountFrequency (%)
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=7&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=16&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=23&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=18&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=15&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=22&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=12&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=10&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=21&divi=5 1
 
4.3%
http://gil.seoul.go.kr/common/download/filedown_poster.jsp?num=20&divi=5 1
 
4.3%
Other values (13) 13
56.5%
2024-05-18T12:29:55.784885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 184
 
11.2%
/ 115
 
7.0%
i 92
 
5.6%
l 92
 
5.6%
. 92
 
5.6%
n 92
 
5.6%
p 69
 
4.2%
t 69
 
4.2%
s 69
 
4.2%
e 69
 
4.2%
Other values (29) 704
42.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1219
74.0%
Other Punctuation 276
 
16.8%
Decimal Number 60
 
3.6%
Math Symbol 46
 
2.8%
Connector Punctuation 23
 
1.4%
Uppercase Letter 23
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 184
15.1%
i 92
 
7.5%
l 92
 
7.5%
n 92
 
7.5%
p 69
 
5.7%
t 69
 
5.7%
s 69
 
5.7%
e 69
 
5.7%
d 69
 
5.7%
m 69
 
5.7%
Other values (11) 345
28.3%
Decimal Number
ValueCountFrequency (%)
5 26
43.3%
1 10
 
16.7%
2 9
 
15.0%
3 3
 
5.0%
4 3
 
5.0%
6 2
 
3.3%
8 2
 
3.3%
9 2
 
3.3%
0 2
 
3.3%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 115
41.7%
. 92
33.3%
& 23
 
8.3%
? 23
 
8.3%
: 23
 
8.3%
Math Symbol
ValueCountFrequency (%)
= 46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1242
75.4%
Common 405
 
24.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 184
14.8%
i 92
 
7.4%
l 92
 
7.4%
n 92
 
7.4%
p 69
 
5.6%
t 69
 
5.6%
s 69
 
5.6%
e 69
 
5.6%
d 69
 
5.6%
m 69
 
5.6%
Other values (12) 368
29.6%
Common
ValueCountFrequency (%)
/ 115
28.4%
. 92
22.7%
= 46
 
11.4%
5 26
 
6.4%
& 23
 
5.7%
_ 23
 
5.7%
? 23
 
5.7%
: 23
 
5.7%
1 10
 
2.5%
2 9
 
2.2%
Other values (7) 15
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 184
 
11.2%
/ 115
 
7.0%
i 92
 
5.6%
l 92
 
5.6%
. 92
 
5.6%
n 92
 
5.6%
p 69
 
4.2%
t 69
 
4.2%
s 69
 
4.2%
e 69
 
4.2%
Other values (29) 704
42.7%

조회수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7200.2174
Minimum1
Maximum18938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-18T12:29:56.349616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile338.4
Q13569.5
median7470
Q310902.5
95-th percentile13756.9
Maximum18938
Range18937
Interquartile range (IQR)7333

Descriptive statistics

Standard deviation5058.0223
Coefficient of variation (CV)0.70248189
Kurtosis-0.33482921
Mean7200.2174
Median Absolute Deviation (MAD)3766
Skewness0.31621683
Sum165605
Variance25583590
MonotonicityNot monotonic
2024-05-18T12:29:56.819877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7260 1
 
4.3%
18938 1
 
4.3%
401 1
 
4.3%
351 1
 
4.3%
4415 1
 
4.3%
1 1
 
4.3%
1766 1
 
4.3%
7470 1
 
4.3%
6052 1
 
4.3%
3543 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
337 1
4.3%
351 1
4.3%
401 1
4.3%
1766 1
4.3%
3543 1
4.3%
3596 1
4.3%
4415 1
4.3%
4490 1
4.3%
6052 1
4.3%
ValueCountFrequency (%)
18938 1
4.3%
13829 1
4.3%
13108 1
4.3%
12538 1
4.3%
11236 1
4.3%
11108 1
4.3%
10697 1
4.3%
9619 1
4.3%
8524 1
4.3%
8260 1
4.3%

첨부파일원본명
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-18T12:29:57.508213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length16.869565
Min length6

Characters and Unicode

Total characters388
Distinct characters104
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row서울,테마산책길_저해상.pdf
2nd row서울 둘레길 지도.zip
3rd row서울둘레길_안내책자.zip
4th row즐거운 서울 둘레길.zip
5th row서울둘레길 스탬프북.pdf
ValueCountFrequency (%)
서울둘레길 7
 
14.0%
서울 3
 
6.0%
스탬프 2
 
4.0%
둘레길 2
 
4.0%
지점정보.zip 2
 
4.0%
스탬프북.pdf 2
 
4.0%
용량줄임.pdf 2
 
4.0%
및 2
 
4.0%
□ 1
 
2.0%
스마트 1
 
2.0%
Other values (26) 26
52.0%
2024-05-18T12:29:58.727391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
7.0%
. 25
 
6.4%
p 23
 
5.9%
서 18
 
4.6%
울 16
 
4.1%
길 15
 
3.9%
0 13
 
3.4%
레 13
 
3.4%
둘 13
 
3.4%
f 11
 
2.8%
Other values (94) 214
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
51.3%
Lowercase Letter 74
 
19.1%
Decimal Number 40
 
10.3%
Space Separator 27
 
7.0%
Other Punctuation 26
 
6.7%
Connector Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Dash Punctuation 3
 
0.8%
Uppercase Letter 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 18
 
9.0%
울 16
 
8.0%
길 15
 
7.5%
레 13
 
6.5%
둘 13
 
6.5%
지 9
 
4.5%
스 8
 
4.0%
탬 6
 
3.0%
프 6
 
3.0%
도 5
 
2.5%
Other values (61) 90
45.2%
Lowercase Letter
ValueCountFrequency (%)
p 23
31.1%
f 11
14.9%
d 11
14.9%
z 7
 
9.5%
i 7
 
9.5%
h 4
 
5.4%
w 3
 
4.1%
g 2
 
2.7%
l 1
 
1.4%
j 1
 
1.4%
Other values (4) 4
 
5.4%
Decimal Number
ValueCountFrequency (%)
0 13
32.5%
2 11
27.5%
1 10
25.0%
7 2
 
5.0%
9 1
 
2.5%
6 1
 
2.5%
5 1
 
2.5%
3 1
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
X 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 25
96.2%
, 1
 
3.8%
Space Separator
ValueCountFrequency (%)
27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
□ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
51.3%
Common 112
28.9%
Latin 77
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 18
 
9.0%
울 16
 
8.0%
길 15
 
7.5%
레 13
 
6.5%
둘 13
 
6.5%
지 9
 
4.5%
스 8
 
4.0%
탬 6
 
3.0%
프 6
 
3.0%
도 5
 
2.5%
Other values (61) 90
45.2%
Latin
ValueCountFrequency (%)
p 23
29.9%
f 11
14.3%
d 11
14.3%
z 7
 
9.1%
i 7
 
9.1%
h 4
 
5.2%
w 3
 
3.9%
g 2
 
2.6%
l 1
 
1.3%
j 1
 
1.3%
Other values (7) 7
 
9.1%
Common
ValueCountFrequency (%)
27
24.1%
. 25
22.3%
0 13
11.6%
2 11
9.8%
1 10
 
8.9%
_ 5
 
4.5%
( 5
 
4.5%
) 5
 
4.5%
- 3
 
2.7%
7 2
 
1.8%
Other values (6) 6
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199
51.3%
ASCII 188
48.5%
Geometric Shapes 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
14.4%
. 25
13.3%
p 23
12.2%
0 13
 
6.9%
f 11
 
5.9%
d 11
 
5.9%
2 11
 
5.9%
1 10
 
5.3%
z 7
 
3.7%
i 7
 
3.7%
Other values (22) 43
22.9%
Hangul
ValueCountFrequency (%)
서 18
 
9.0%
울 16
 
8.0%
길 15
 
7.5%
레 13
 
6.5%
둘 13
 
6.5%
지 9
 
4.5%
스 8
 
4.0%
탬 6
 
3.0%
프 6
 
3.0%
도 5
 
2.5%
Other values (61) 90
45.2%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

Interactions

2024-05-18T12:29:44.521130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:29:43.980169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:29:44.787819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:29:44.273901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T12:29:59.140025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번제목내용첨부파일명첨부파일경로조회수첨부파일원본명
순번1.0000.7411.0001.0001.0000.7080.209
제목0.7411.0001.0001.0001.0001.0000.974
내용1.0001.0001.0001.0001.0001.0001.000
첨부파일명1.0001.0001.0001.0001.0001.0001.000
첨부파일경로1.0001.0001.0001.0001.0001.0001.000
조회수0.7081.0001.0001.0001.0001.0000.475
첨부파일원본명0.2090.9741.0001.0001.0000.4751.000
2024-05-18T12:29:59.568023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조회수
순번1.000-0.699
조회수-0.6991.000

Missing values

2024-05-18T12:29:45.196100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T12:29:45.753336image/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

순번제목내용첨부파일명첨부파일경로조회수첨부파일원본명
07'서울, 테마산책길' 책자 출간 안내서울시는 봄을 맞아 테마가 있는 산책길 40곳, ‘서울, 테마산책길’을 출간했다고 밝혔다. 금번 ‘서울, 테마산책길’ 은 숲이 좋은 길(17곳), 계곡이 좋은 길(2곳), 전망이 좋은 길(10곳), 역사 문화 길(11곳) 4가지 테마로 구분하여 안내하였으며, 코스 소개, 대중 교통, 길안내, 코스 지도 및 사진, 주변 볼거리와 그 길에서만 만날 수 있는 다양한 이야기를 담아 엮었으며, 특히 핸드북 크기로 제작되어 가볍게 읽을 수 있다.1458543581724940000.pdfhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=7&divi=57260서울,테마산책길_저해상.pdf
11서울 둘레길 지도서울 둘레길 지도입니다. 첨부파일을 다운받아 보세요.1039195657929632.ziphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=1&divi=518938서울 둘레길 지도.zip
22서울 둘레길 가이드북서울 둘레길 가이드북입니다. 첨부파일로 다운받아 보세요.1039386292804970.ziphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=2&divi=513108서울둘레길_안내책자.zip
33서울 둘레길 노래서울 둘레길 노래(음악, 영상)입니다. 첨부파일을 다운받아 보세요.1039494568489669.ziphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=3&divi=53596즐거운 서울 둘레길.zip
45서울둘레길 스탬프북서울둘레길 스탬프북 pdf 파일입니다.7598856248020258.pdfhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=5&divi=513829서울둘레길 스탬프북.pdf
56서울둘레길 설명자료서울둘레길 상세설명자료입니다.8012877674534824.pdfhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=6&divi=511108서울둘레길 설명자료.pdf
68서울의 자락길 리플릿 제작 및 배포서울시는 장애인 날을 맞이하여 사회적 약자인 장애인 및 노약자 등 누구나 쉽게 걸을 수 있는 숲속 힐링 공간을 체험할 수 있는 '서울의 자락길 리플릿”을 제작하였습니다. 총 16개의 자락길을 안내하고 있으며 각 자락길별 코스, 거리, 교통편 등을 안내하고 있으니 자락길 방문시 참고하시기 바랍니다.1460599900184690000.pdfhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=8&divi=59619서울자락길 내지_90_170쪽수.pdf
74서울 둘레길 선형 GIS정보(GPX파일)입니다!!!고맙게도 수명산의 블로그(http://blog.naver.com/twkimjan) 운영자님께서 주신 파일입니다^^2868858676172998.ziphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=4&divi=510697서울 둘레길 선형정보(GPX).zip
89서울둘레길 코스gpx자료(앱개발시참조)서울둘레길 코스gpx자료1606799235398303000.gpxhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=9&divi=511236100211_20201117162225.gpx
913서울둘레길 스탬프북(인쇄용)서울둘레길 스탬프북 인쇄용 화일입니다. 스탬프북을 다운받아 인쇄하여 사용 가능합니다1619513769819631000.hwphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=13&divi=58524서울둘레길 스탬프북.hwp
순번제목내용첨부파일명첨부파일경로조회수첨부파일원본명
1319'12기 100인 원정대' 합격자 개인정보 이용 동의서'12기 100인 원정대' 합격자 분들은 붙임3-개인정보이용동의서를 작성하시어 seoultrail@komount.or.kr 로 보내주시기 바랍니다. 감사합니다.712669532351645.hwphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=19&divi=54490붙임3-개인정보이용동의서.hwp
1420서울 둘레길 지도 (2022년 버전)서울 둘레길 지도 2022년 버전입니다. 첨부파일을 다운받아 보세요.9669031729729847.pdfhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=20&divi=512538서울둘레길 지도(2022).pdf
1521서울둘레길 안내지도(영어)서울둘레길 안내지도(영어)입니다.39316789725355502.pdfhttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=21&divi=53543서울둘레길 안내지도(영문).pdf
1610서울둘레길 스탬프스탬프 이미지1631864976269542000.ziphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=10&divi=56052스탬프 및 지점정보.zip
1712서울둘레길 앱 관련 이미지앱 관련 이미지1606109394526550000.ziphttp://gil.seoul.go.kr/common/download/fileDown_poster.jsp?num=12&divi=57470서울둘레길 관련 소스.zip
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