Overview

Dataset statistics

Number of variables5
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.1 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description일련번호,제목,링크,작성자,등록일
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-12748/S/1/datasetView.do

Alerts

일련번호 has unique valuesUnique
링크 has unique valuesUnique

Reproduction

Analysis started2024-05-18 00:44:50.372819
Analysis finished2024-05-18 00:44:52.702561
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.5
Minimum1771
Maximum2270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-18T09:44:52.999183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1771
5-th percentile1795.95
Q11895.75
median2020.5
Q32145.25
95-th percentile2245.05
Maximum2270
Range499
Interquartile range (IQR)249.5

Descriptive statistics

Standard deviation144.48183
Coefficient of variation (CV)0.07150796
Kurtosis-1.2
Mean2020.5
Median Absolute Deviation (MAD)125
Skewness0
Sum1010250
Variance20875
MonotonicityNot monotonic
2024-05-18T09:44:53.588737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2270 1
 
0.2%
1938 1
 
0.2%
1927 1
 
0.2%
1928 1
 
0.2%
1929 1
 
0.2%
1930 1
 
0.2%
1931 1
 
0.2%
1932 1
 
0.2%
1934 1
 
0.2%
1933 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
1771 1
0.2%
1772 1
0.2%
1773 1
0.2%
1774 1
0.2%
1775 1
0.2%
1776 1
0.2%
1777 1
0.2%
1778 1
0.2%
1779 1
0.2%
1780 1
0.2%
ValueCountFrequency (%)
2270 1
0.2%
2269 1
0.2%
2268 1
0.2%
2267 1
0.2%
2266 1
0.2%
2265 1
0.2%
2264 1
0.2%
2263 1
0.2%
2262 1
0.2%
2261 1
0.2%

제목
Text

Distinct412
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-18T09:44:54.712860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length47
Mean length35.684
Min length11

Characters and Unicode

Total characters17842
Distinct characters412
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)78.6%

Sample

1st row5월 이동건강버스 운영 일정
2nd row코로나19치료제 담당기관 안내
3rd row2024 건강도시 기후 위기 대응 캠페인
4th row2024 건강도시 스탬프투어 참여 안내
5th row2024년 서울시『초기 난임부부 건강관리지원 프로그램 참여자 모집』
ValueCountFrequency (%)
안내 172
 
5.0%
코로나19 170
 
4.9%
채용 106
 
3.1%
공고 92
 
2.7%
및 84
 
2.4%
등 73
 
2.1%
허용 70
 
2.0%
중 70
 
2.0%
외출 70
 
2.0%
안내사항(입원치료?자가치료?시설치료 69
 
2.0%
Other values (759) 2488
71.8%
2024-05-18T09:44:56.522196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2967
 
16.6%
자 554
 
3.1%
시 413
 
2.3%
사 346
 
1.9%
2 331
 
1.9%
로 324
 
1.8%
료 308
 
1.7%
안 270
 
1.5%
내 270
 
1.5%
) 262
 
1.5%
Other values (402) 11797
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12839
72.0%
Space Separator 2967
 
16.6%
Decimal Number 1055
 
5.9%
Close Punctuation 307
 
1.7%
Open Punctuation 306
 
1.7%
Other Punctuation 280
 
1.6%
Uppercase Letter 43
 
0.2%
Math Symbol 17
 
0.1%
Dash Punctuation 15
 
0.1%
Lowercase Letter 9
 
0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 554
 
4.3%
시 413
 
3.2%
사 346
 
2.7%
로 324
 
2.5%
료 308
 
2.4%
안 270
 
2.1%
내 270
 
2.1%
나 262
 
2.0%
치 238
 
1.9%
중 233
 
1.8%
Other values (356) 9621
74.9%
Decimal Number
ValueCountFrequency (%)
2 331
31.4%
1 254
24.1%
9 191
18.1%
0 183
17.3%
3 34
 
3.2%
4 31
 
2.9%
5 12
 
1.1%
6 10
 
0.9%
8 7
 
0.7%
7 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
I 12
27.9%
A 8
18.6%
T 6
14.0%
P 4
 
9.3%
V 4
 
9.3%
H 3
 
7.0%
B 2
 
4.7%
C 2
 
4.7%
O 1
 
2.3%
R 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
? 228
81.4%
, 20
 
7.1%
' 13
 
4.6%
. 10
 
3.6%
! 6
 
2.1%
/ 3
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 262
85.3%
] 35
 
11.4%
」 8
 
2.6%
』 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 261
85.3%
[ 35
 
11.4%
「 8
 
2.6%
『 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
o 6
66.7%
s 1
 
11.1%
n 1
 
11.1%
i 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
~ 7
41.2%
< 5
29.4%
> 5
29.4%
Space Separator
ValueCountFrequency (%)
2967
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12839
72.0%
Common 4951
 
27.7%
Latin 52
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 554
 
4.3%
시 413
 
3.2%
사 346
 
2.7%
로 324
 
2.5%
료 308
 
2.4%
안 270
 
2.1%
내 270
 
2.1%
나 262
 
2.0%
치 238
 
1.9%
중 233
 
1.8%
Other values (356) 9621
74.9%
Common
ValueCountFrequency (%)
2967
59.9%
2 331
 
6.7%
) 262
 
5.3%
( 261
 
5.3%
1 254
 
5.1%
? 228
 
4.6%
9 191
 
3.9%
0 183
 
3.7%
[ 35
 
0.7%
] 35
 
0.7%
Other values (22) 204
 
4.1%
Latin
ValueCountFrequency (%)
I 12
23.1%
A 8
15.4%
T 6
11.5%
o 6
11.5%
P 4
 
7.7%
V 4
 
7.7%
H 3
 
5.8%
B 2
 
3.8%
C 2
 
3.8%
s 1
 
1.9%
Other values (4) 4
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12839
72.0%
ASCII 4979
 
27.9%
None 20
 
0.1%
Misc Symbols 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2967
59.6%
2 331
 
6.6%
) 262
 
5.3%
( 261
 
5.2%
1 254
 
5.1%
? 228
 
4.6%
9 191
 
3.8%
0 183
 
3.7%
[ 35
 
0.7%
] 35
 
0.7%
Other values (29) 232
 
4.7%
Hangul
ValueCountFrequency (%)
자 554
 
4.3%
시 413
 
3.2%
사 346
 
2.7%
로 324
 
2.5%
료 308
 
2.4%
안 270
 
2.1%
내 270
 
2.1%
나 262
 
2.0%
치 238
 
1.9%
중 233
 
1.8%
Other values (356) 9621
74.9%
None
ValueCountFrequency (%)
」 8
40.0%
「 8
40.0%
『 2
 
10.0%
』 2
 
10.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

링크
Text

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-18T09:44:57.561383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length80
Mean length79.524
Min length79

Characters and Unicode

Total characters39762
Distinct characters38
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

Unique500 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=150092
2nd rowhttps://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=150067
3rd rowhttps://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149872
4th rowhttps://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149867
5th rowhttps://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149621
ValueCountFrequency (%)
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=150092 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95814 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95800 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95801 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95802 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95803 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95804 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95806 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95805 1
 
0.2%
https://www.ddm.go.kr/health/selectbbsnttview.do?key=1335&bbsno=221&nttno=95807 1
 
0.2%
Other values (490) 490
98.0%
2024-05-18T09:44:59.342236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 4000
 
10.1%
e 2500
 
6.3%
o 2000
 
5.0%
s 2000
 
5.0%
/ 2000
 
5.0%
w 2000
 
5.0%
. 2000
 
5.0%
h 1500
 
3.8%
= 1500
 
3.8%
N 1500
 
3.8%
Other values (28) 18762
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23500
59.1%
Decimal Number 6262
 
15.7%
Other Punctuation 6000
 
15.1%
Uppercase Letter 2500
 
6.3%
Math Symbol 1500
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4000
17.0%
e 2500
10.6%
o 2000
8.5%
s 2000
8.5%
w 2000
8.5%
h 1500
 
6.4%
b 1500
 
6.4%
d 1500
 
6.4%
l 1000
 
4.3%
k 1000
 
4.3%
Other values (9) 4500
19.1%
Decimal Number
ValueCountFrequency (%)
1 1496
23.9%
2 1243
19.8%
3 1186
18.9%
5 883
14.1%
9 391
 
6.2%
7 258
 
4.1%
8 239
 
3.8%
6 229
 
3.7%
4 180
 
2.9%
0 157
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 2000
33.3%
. 2000
33.3%
& 1000
16.7%
? 500
 
8.3%
: 500
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 1500
60.0%
V 500
 
20.0%
B 500
 
20.0%
Math Symbol
ValueCountFrequency (%)
= 1500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26000
65.4%
Common 13762
34.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4000
15.4%
e 2500
 
9.6%
o 2000
 
7.7%
s 2000
 
7.7%
w 2000
 
7.7%
h 1500
 
5.8%
N 1500
 
5.8%
b 1500
 
5.8%
d 1500
 
5.8%
l 1000
 
3.8%
Other values (12) 6500
25.0%
Common
ValueCountFrequency (%)
/ 2000
14.5%
. 2000
14.5%
= 1500
10.9%
1 1496
10.9%
2 1243
9.0%
3 1186
8.6%
& 1000
7.3%
5 883
6.4%
? 500
 
3.6%
: 500
 
3.6%
Other values (6) 1454
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 4000
 
10.1%
e 2500
 
6.3%
o 2000
 
5.0%
s 2000
 
5.0%
/ 2000
 
5.0%
w 2000
 
5.0%
. 2000
 
5.0%
h 1500
 
3.8%
= 1500
 
3.8%
N 1500
 
3.8%
Other values (28) 18762
47.2%

작성자
Text

Distinct95
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-18T09:45:00.085334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.066
Min length2

Characters and Unicode

Total characters1533
Distinct characters90
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

Unique27 ?
Unique (%)5.4%

Sample

1st row최미라
2nd row박한나
3rd row박세령
4th row박세령
5th row한소현
ValueCountFrequency (%)
김환주 44
 
8.8%
정화주 42
 
8.4%
양해경 27
 
5.4%
신예지 21
 
4.2%
김지혜a 20
 
4.0%
박세령 19
 
3.8%
신승호 18
 
3.6%
모다연 13
 
2.6%
신윤정 11
 
2.2%
박한나 11
 
2.2%
Other values (85) 274
54.8%
2024-05-18T09:45:01.355136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 116
 
7.6%
주 100
 
6.5%
정 85
 
5.5%
지 81
 
5.3%
박 72
 
4.7%
신 59
 
3.8%
경 54
 
3.5%
희 50
 
3.3%
환 45
 
2.9%
이 44
 
2.9%
Other values (80) 827
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1503
98.0%
Uppercase Letter 30
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 116
 
7.7%
주 100
 
6.7%
정 85
 
5.7%
지 81
 
5.4%
박 72
 
4.8%
신 59
 
3.9%
경 54
 
3.6%
희 50
 
3.3%
환 45
 
3.0%
이 44
 
2.9%
Other values (78) 797
53.0%
Uppercase Letter
ValueCountFrequency (%)
A 22
73.3%
B 8
 
26.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1503
98.0%
Latin 30
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 116
 
7.7%
주 100
 
6.7%
정 85
 
5.7%
지 81
 
5.4%
박 72
 
4.8%
신 59
 
3.9%
경 54
 
3.6%
희 50
 
3.3%
환 45
 
3.0%
이 44
 
2.9%
Other values (78) 797
53.0%
Latin
ValueCountFrequency (%)
A 22
73.3%
B 8
 
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1503
98.0%
ASCII 30
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 116
 
7.7%
주 100
 
6.7%
정 85
 
5.7%
지 81
 
5.4%
박 72
 
4.8%
신 59
 
3.9%
경 54
 
3.6%
희 50
 
3.3%
환 45
 
3.0%
이 44
 
2.9%
Other values (78) 797
53.0%
ASCII
ValueCountFrequency (%)
A 22
73.3%
B 8
 
26.7%

등록일
Date

Distinct355
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2019-10-30 00:00:00
Maximum2024-05-09 00:00:00
2024-05-18T09:45:01.845102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:45:02.330909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-05-18T09:44:51.550863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T09:45:02.652806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호작성자
일련번호1.0000.901
작성자0.9011.000

Missing values

2024-05-18T09:44:51.986512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T09:44:52.512540image/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

일련번호제목링크작성자등록일
022705월 이동건강버스 운영 일정https://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=150092최미라2024-05-09
12269코로나19치료제 담당기관 안내https://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=150067박한나2024-05-09
222682024 건강도시 기후 위기 대응 캠페인https://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149872박세령2024-05-03
322672024 건강도시 스탬프투어 참여 안내https://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149867박세령2024-05-03
422662024년 서울시『초기 난임부부 건강관리지원 프로그램 참여자 모집』https://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149621한소현2024-04-29
52265장티푸스 백신 소진 및 입고 지연에 따른 접종 중단 안내https://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149307정소연2024-04-25
622642024년 동대문구 영양톡톡(5월 건강식단)https://www.ddm.go.kr/health/selectBbsNttView.do?key=1335&bbsNo=221&nttNo=149257김민경2024-04-23
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