Overview

Dataset statistics

Number of variables6
Number of observations2054
Missing cells106
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory98.4 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description일련번호,제목,내용,등록일자,섬네일주소,페이지주소
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-15742/S/1/datasetView.do

Alerts

내용 has 106 (5.2%) missing valuesMissing
일련번호 has unique valuesUnique
페이지주소 has unique valuesUnique

Reproduction

Analysis started2024-05-11 05:43:30.876499
Analysis finished2024-05-11 05:43:32.697570
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct2054
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1138.9255
Minimum1
Maximum2256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 KiB
2024-05-11T14:43:32.776212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile103.65
Q1533.25
median1190.5
Q31726.75
95-th percentile2150.35
Maximum2256
Range2255
Interquartile range (IQR)1193.5

Descriptive statistics

Standard deviation670.87772
Coefficient of variation (CV)0.58904442
Kurtosis-1.2852109
Mean1138.9255
Median Absolute Deviation (MAD)597
Skewness-0.046654089
Sum2339353
Variance450076.91
MonotonicityStrictly increasing
2024-05-11T14:43:32.921391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1461 1
 
< 0.1%
1559 1
 
< 0.1%
1558 1
 
< 0.1%
1557 1
 
< 0.1%
1556 1
 
< 0.1%
1555 1
 
< 0.1%
1554 1
 
< 0.1%
1553 1
 
< 0.1%
1552 1
 
< 0.1%
Other values (2044) 2044
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2256 1
< 0.1%
2255 1
< 0.1%
2254 1
< 0.1%
2253 1
< 0.1%
2252 1
< 0.1%
2251 1
< 0.1%
2250 1
< 0.1%
2249 1
< 0.1%
2248 1
< 0.1%
2247 1
< 0.1%

제목
Text

Distinct1729
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2024-05-11T14:43:33.257998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length76
Mean length30.561344
Min length2

Characters and Unicode

Total characters62773
Distinct characters980
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1475 ?
Unique (%)71.8%

Sample

1st row직원 4대폭력 예방교육
2nd row사랑의 삼계탕 나눔잔치
3rd row수색119안전센터 이전 준공식
4th row은평구 양성평등주간 기념행사
5th row안전은평을 위한 불법촬영장비 합동점검
ValueCountFrequency (%)
459
 
3.5%
은평구 333
 
2.6%
은평 307
 
2.4%
은평1인크리에이터 194
 
1.5%
크리에이터 151
 
1.2%
1인 140
 
1.1%
반려동물 120
 
0.9%
은평인 106
 
0.8%
코로나19 72
 
0.6%
알려드린 71
 
0.5%
Other values (5144) 11080
85.0%
2024-05-11T14:43:33.890827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11035
 
17.6%
은 1800
 
2.9%
평 1709
 
2.7%
이 1185
 
1.9%
[ 1035
 
1.6%
] 1035
 
1.6%
인 885
 
1.4%
1 862
 
1.4%
리 858
 
1.4%
! 721
 
1.1%
Other values (970) 41648
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42306
67.4%
Space Separator 11035
 
17.6%
Other Punctuation 2619
 
4.2%
Decimal Number 2545
 
4.1%
Close Punctuation 1225
 
2.0%
Open Punctuation 1216
 
1.9%
Lowercase Letter 837
 
1.3%
Uppercase Letter 558
 
0.9%
Dash Punctuation 129
 
0.2%
Math Symbol 115
 
0.2%
Other values (5) 188
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 1800
 
4.3%
평 1709
 
4.0%
이 1185
 
2.8%
인 885
 
2.1%
리 858
 
2.0%
에 692
 
1.6%
구 663
 
1.6%
터 609
 
1.4%
기 544
 
1.3%
의 525
 
1.2%
Other values (862) 32836
77.6%
Uppercase Letter
ValueCountFrequency (%)
S 101
18.1%
N 60
 
10.8%
D 48
 
8.6%
P 44
 
7.9%
O 30
 
5.4%
E 25
 
4.5%
A 23
 
4.1%
J 20
 
3.6%
I 20
 
3.6%
V 18
 
3.2%
Other values (16) 169
30.3%
Lowercase Letter
ValueCountFrequency (%)
e 95
 
11.4%
t 83
 
9.9%
o 77
 
9.2%
a 75
 
9.0%
n 68
 
8.1%
i 54
 
6.5%
l 38
 
4.5%
u 38
 
4.5%
r 33
 
3.9%
h 30
 
3.6%
Other values (16) 246
29.4%
Other Punctuation
ValueCountFrequency (%)
! 721
27.5%
? 439
16.8%
/ 369
14.1%
. 308
11.8%
' 305
11.6%
, 285
 
10.9%
& 65
 
2.5%
# 58
 
2.2%
; 42
 
1.6%
: 21
 
0.8%
Other values (2) 6
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 862
33.9%
2 620
24.4%
0 380
14.9%
9 198
 
7.8%
3 159
 
6.2%
4 81
 
3.2%
5 75
 
2.9%
7 62
 
2.4%
6 59
 
2.3%
8 49
 
1.9%
Other Symbol
ValueCountFrequency (%)
★ 19
44.2%
♥ 7
 
16.3%
♀ 5
 
11.6%
☆ 5
 
11.6%
♂ 3
 
7.0%
│ 1
 
2.3%
⌒ 1
 
2.3%
♡ 1
 
2.3%
♪ 1
 
2.3%
Open Punctuation
ValueCountFrequency (%)
[ 1035
85.1%
( 166
 
13.7%
「 7
 
0.6%
『 6
 
0.5%
【 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
] 1035
84.5%
) 175
 
14.3%
」 7
 
0.6%
』 6
 
0.5%
】 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 97
84.3%
| 12
 
10.4%
+ 3
 
2.6%
｜ 2
 
1.7%
= 1
 
0.9%
Modifier Symbol
ValueCountFrequency (%)
^ 6
54.5%
` 3
27.3%
˚ 2
 
18.2%
Initial Punctuation
ValueCountFrequency (%)
“ 8
57.1%
‘ 6
42.9%
Final Punctuation
ValueCountFrequency (%)
’ 6
60.0%
” 4
40.0%
Space Separator
ValueCountFrequency (%)
11035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42276
67.3%
Common 19072
30.4%
Latin 1395
 
2.2%
Han 30
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 1800
 
4.3%
평 1709
 
4.0%
이 1185
 
2.8%
인 885
 
2.1%
리 858
 
2.0%
에 692
 
1.6%
구 663
 
1.6%
터 609
 
1.4%
기 544
 
1.3%
의 525
 
1.2%
Other values (848) 32806
77.6%
Common
ValueCountFrequency (%)
11035
57.9%
[ 1035
 
5.4%
] 1035
 
5.4%
1 862
 
4.5%
! 721
 
3.8%
2 620
 
3.3%
? 439
 
2.3%
0 380
 
2.0%
/ 369
 
1.9%
. 308
 
1.6%
Other values (46) 2268
 
11.9%
Latin
ValueCountFrequency (%)
S 101
 
7.2%
e 95
 
6.8%
t 83
 
5.9%
o 77
 
5.5%
a 75
 
5.4%
n 68
 
4.9%
N 60
 
4.3%
i 54
 
3.9%
D 48
 
3.4%
P 44
 
3.2%
Other values (42) 690
49.5%
Han
ValueCountFrequency (%)
人 11
36.7%
犬 4
 
13.3%
酒 2
 
6.7%
韓 2
 
6.7%
大 2
 
6.7%
中 1
 
3.3%
洞 1
 
3.3%
孝 1
 
3.3%
書 1
 
3.3%
通 1
 
3.3%
Other values (4) 4
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42255
67.3%
ASCII 20365
32.4%
Misc Symbols 41
 
0.1%
None 33
 
0.1%
CJK 30
 
< 0.1%
Punctuation 24
 
< 0.1%
Compat Jamo 21
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Box Drawing 1
 
< 0.1%
Misc Technical 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11035
54.2%
[ 1035
 
5.1%
] 1035
 
5.1%
1 862
 
4.2%
! 721
 
3.5%
2 620
 
3.0%
? 439
 
2.2%
0 380
 
1.9%
/ 369
 
1.8%
. 308
 
1.5%
Other values (76) 3561
 
17.5%
Hangul
ValueCountFrequency (%)
은 1800
 
4.3%
평 1709
 
4.0%
이 1185
 
2.8%
인 885
 
2.1%
리 858
 
2.0%
에 692
 
1.6%
구 663
 
1.6%
터 609
 
1.4%
기 544
 
1.3%
의 525
 
1.2%
Other values (845) 32785
77.6%
Misc Symbols
ValueCountFrequency (%)
★ 19
46.3%
♥ 7
 
17.1%
♀ 5
 
12.2%
☆ 5
 
12.2%
♂ 3
 
7.3%
♡ 1
 
2.4%
♪ 1
 
2.4%
Compat Jamo
ValueCountFrequency (%)
ㅠ 11
52.4%
ㅣ 8
38.1%
ㄴ 2
 
9.5%
CJK
ValueCountFrequency (%)
人 11
36.7%
犬 4
 
13.3%
酒 2
 
6.7%
韓 2
 
6.7%
大 2
 
6.7%
中 1
 
3.3%
洞 1
 
3.3%
孝 1
 
3.3%
書 1
 
3.3%
通 1
 
3.3%
Other values (4) 4
 
13.3%
Punctuation
ValueCountFrequency (%)
“ 8
33.3%
’ 6
25.0%
‘ 6
25.0%
” 4
16.7%
None
ValueCountFrequency (%)
「 7
21.2%
」 7
21.2%
』 6
18.2%
『 6
18.2%
【 2
 
6.1%
】 2
 
6.1%
｜ 2
 
6.1%
。 1
 
3.0%
Modifier Letters
ValueCountFrequency (%)
˚ 2
100.0%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%
Misc Technical
ValueCountFrequency (%)
⌒ 1
100.0%

내용
Text

MISSING 

Distinct1666
Distinct (%)85.5%
Missing106
Missing (%)5.2%
Memory size16.2 KiB
2024-05-11T14:43:34.365154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length370
Mean length160.63552
Min length3

Characters and Unicode

Total characters312918
Distinct characters1331
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1432 ?
Unique (%)73.5%

Sample

1st row은평구는 성에 대한 건전한 가치관 조성을 위해 '성희롱 성매매 및 성폭력, 가정폭력 예방교육'을 실시했습니다.
2nd row은평구에서는 지역 어르신들의 건강한 여름나기를 위한 특별한 나눔 행사가 마련됐습니다.
3rd row수색, 증산, 신사동에서 각종 재난활동을 수행해온 서울 은평소방서는 수색119안전센터가 노후화됨에 따라, 신청사를 건립했습니다.
4th row은평구에서는 양성평등주간을 맞아 양성평등 인식 개선을 위한 다채로운 행사를 마련했습니다.
5th row은평구는 은평경찰서와 함께 구민의 안전을 지키기 위한 '불법촬영장비 합동 점검'을 실시했습니다.
ValueCountFrequency (%)
1431
 
2.2%
은평구 906
 
1.4%
함께 452
 
0.7%
수 398
 
0.6%
은평 389
 
0.6%
은평구는 315
 
0.5%
위해 311
 
0.5%
위한 304
 
0.5%
있는 299
 
0.5%
은평구청 253
 
0.4%
Other values (21471) 59823
92.2%
2024-05-11T14:43:35.143696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67910
 
21.7%
은 4970
 
1.6%
이 4876
 
1.6%
. 4222
 
1.3%
다 3866
 
1.2%
는 3854
 
1.2%
평 3840
 
1.2%
을 3596
 
1.1%
구 3184
 
1.0%
# 3090
 
1.0%
Other values (1321) 209510
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204779
65.4%
Space Separator 67910
 
21.7%
Other Punctuation 15902
 
5.1%
Decimal Number 10931
 
3.5%
Lowercase Letter 5706
 
1.8%
Uppercase Letter 1678
 
0.5%
Dash Punctuation 1341
 
0.4%
Close Punctuation 1103
 
0.4%
Open Punctuation 966
 
0.3%
Math Symbol 725
 
0.2%
Other values (7) 1877
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 4970
 
2.4%
이 4876
 
2.4%
다 3866
 
1.9%
는 3854
 
1.9%
평 3840
 
1.9%
을 3596
 
1.8%
구 3184
 
1.6%
니 3051
 
1.5%
에 2963
 
1.4%
지 2910
 
1.4%
Other values (1175) 167669
81.9%
Lowercase Letter
ValueCountFrequency (%)
o 550
 
9.6%
t 546
 
9.6%
e 465
 
8.1%
r 350
 
6.1%
a 328
 
5.7%
i 308
 
5.4%
n 307
 
5.4%
p 285
 
5.0%
s 276
 
4.8%
w 241
 
4.2%
Other values (18) 2050
35.9%
Uppercase Letter
ValueCountFrequency (%)
S 198
 
11.8%
N 143
 
8.5%
D 125
 
7.4%
E 119
 
7.1%
M 89
 
5.3%
P 85
 
5.1%
A 83
 
4.9%
B 80
 
4.8%
O 78
 
4.6%
C 78
 
4.6%
Other values (16) 600
35.8%
Other Symbol
ValueCountFrequency (%)
★ 50
16.8%
♥ 39
13.1%
▶ 38
12.8%
☎ 32
10.8%
○ 32
10.8%
● 31
10.4%
▼ 22
7.4%
☞ 8
 
2.7%
♡ 7
 
2.4%
♀ 5
 
1.7%
Other values (13) 33
11.1%
Other Punctuation
ValueCountFrequency (%)
. 4222
26.6%
# 3090
19.4%
, 2508
15.8%
? 1464
 
9.2%
! 1395
 
8.8%
' 1339
 
8.4%
: 1095
 
6.9%
/ 540
 
3.4%
* 85
 
0.5%
& 60
 
0.4%
Other values (6) 104
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 2615
23.9%
2 2177
19.9%
0 1944
17.8%
3 911
 
8.3%
9 832
 
7.6%
5 650
 
5.9%
4 520
 
4.8%
6 475
 
4.3%
8 430
 
3.9%
7 377
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 599
82.6%
= 55
 
7.6%
→ 19
 
2.6%
| 17
 
2.3%
↓ 13
 
1.8%
+ 7
 
1.0%
< 6
 
0.8%
> 6
 
0.8%
↑ 2
 
0.3%
∇ 1
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 170
87.2%
˘ 12
 
6.2%
´ 4
 
2.1%
˚ 3
 
1.5%
˙ 2
 
1.0%
` 2
 
1.0%
｀ 2
 
1.0%
Other Number
ValueCountFrequency (%)
② 7
29.2%
① 6
25.0%
③ 4
16.7%
④ 3
12.5%
⑤ 2
 
8.3%
⑥ 1
 
4.2%
⑦ 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 883
80.1%
] 202
 
18.3%
」 14
 
1.3%
』 3
 
0.3%
】 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 746
77.2%
[ 202
 
20.9%
「 14
 
1.4%
『 3
 
0.3%
【 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1340
99.9%
― 1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 534
94.5%
” 31
 
5.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 532
93.2%
“ 39
 
6.8%
Space Separator
ValueCountFrequency (%)
67910
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 223
100.0%
Modifier Letter
ValueCountFrequency (%)
ˇ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204758
65.4%
Common 100754
32.2%
Latin 7379
 
2.4%
Han 15
 
< 0.1%
Katakana 7
 
< 0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 4970
 
2.4%
이 4876
 
2.4%
다 3866
 
1.9%
는 3854
 
1.9%
평 3840
 
1.9%
을 3596
 
1.8%
구 3184
 
1.6%
니 3051
 
1.5%
에 2963
 
1.4%
지 2910
 
1.4%
Other values (1163) 167648
81.9%
Common
ValueCountFrequency (%)
67910
67.4%
. 4222
 
4.2%
# 3090
 
3.1%
1 2615
 
2.6%
, 2508
 
2.5%
2 2177
 
2.2%
0 1944
 
1.9%
? 1464
 
1.5%
! 1395
 
1.4%
- 1340
 
1.3%
Other values (81) 12089
 
12.0%
Latin
ValueCountFrequency (%)
o 550
 
7.5%
t 546
 
7.4%
e 465
 
6.3%
r 350
 
4.7%
a 328
 
4.4%
i 308
 
4.2%
n 307
 
4.2%
p 285
 
3.9%
s 276
 
3.7%
w 241
 
3.3%
Other values (42) 3723
50.5%
Han
ValueCountFrequency (%)
人 4
26.7%
生 2
13.3%
酒 2
13.3%
韓 1
 
6.7%
學 1
 
6.7%
文 1
 
6.7%
男 1
 
6.7%
著 1
 
6.7%
有 1
 
6.7%
秋 1
 
6.7%
Katakana
ValueCountFrequency (%)
ノ 3
42.9%
ヮ 2
28.6%
ワ 2
28.6%
Greek
ValueCountFrequency (%)
ω 3
60.0%
ε 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204715
65.4%
ASCII 106542
34.0%
Punctuation 1172
 
0.4%
Misc Symbols 150
 
< 0.1%
Geometric Shapes 133
 
< 0.1%
None 54
 
< 0.1%
Compat Jamo 42
 
< 0.1%
Arrows 36
 
< 0.1%
Enclosed Alphanum 25
 
< 0.1%
Modifier Letters 19
 
< 0.1%
Other values (6) 30
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67910
63.7%
. 4222
 
4.0%
# 3090
 
2.9%
1 2615
 
2.5%
, 2508
 
2.4%
2 2177
 
2.0%
0 1944
 
1.8%
? 1464
 
1.4%
! 1395
 
1.3%
- 1340
 
1.3%
Other values (80) 17877
 
16.8%
Hangul
ValueCountFrequency (%)
은 4970
 
2.4%
이 4876
 
2.4%
다 3866
 
1.9%
는 3854
 
1.9%
평 3840
 
1.9%
을 3596
 
1.8%
구 3184
 
1.6%
니 3051
 
1.5%
에 2963
 
1.4%
지 2910
 
1.4%
Other values (1155) 167605
81.9%
Punctuation
ValueCountFrequency (%)
’ 534
45.6%
‘ 532
45.4%
“ 39
 
3.3%
※ 34
 
2.9%
” 31
 
2.6%
― 1
 
0.1%
… 1
 
0.1%
Misc Symbols
ValueCountFrequency (%)
★ 50
33.3%
♥ 39
26.0%
☎ 32
21.3%
☞ 8
 
5.3%
♡ 7
 
4.7%
♀ 5
 
3.3%
☆ 5
 
3.3%
♂ 2
 
1.3%
♬ 2
 
1.3%
Geometric Shapes
ValueCountFrequency (%)
▶ 38
28.6%
○ 32
24.1%
● 31
23.3%
▼ 22
16.5%
■ 5
 
3.8%
▽ 3
 
2.3%
◆ 2
 
1.5%
Compat Jamo
ValueCountFrequency (%)
ㅠ 21
50.0%
ㅎ 8
 
19.0%
ㅋ 6
 
14.3%
ㅏ 4
 
9.5%
ㅣ 1
 
2.4%
ㅜ 1
 
2.4%
ㅓ 1
 
2.4%
Arrows
ValueCountFrequency (%)
→ 19
52.8%
↓ 13
36.1%
↗ 2
 
5.6%
↑ 2
 
5.6%
None
ValueCountFrequency (%)
「 14
25.9%
」 14
25.9%
´ 4
 
7.4%
『 3
 
5.6%
ω 3
 
5.6%
』 3
 
5.6%
· 3
 
5.6%
° 3
 
5.6%
ε 2
 
3.7%
｀ 2
 
3.7%
Other values (3) 3
 
5.6%
Modifier Letters
ValueCountFrequency (%)
˘ 12
63.2%
˚ 3
 
15.8%
˙ 2
 
10.5%
ˇ 2
 
10.5%
Enclosed Alphanum
ValueCountFrequency (%)
② 7
28.0%
① 6
24.0%
③ 4
16.0%
④ 3
12.0%
⑤ 2
 
8.0%
ⓒ 1
 
4.0%
⑥ 1
 
4.0%
⑦ 1
 
4.0%
CJK
ValueCountFrequency (%)
人 4
26.7%
生 2
13.3%
酒 2
13.3%
韓 1
 
6.7%
學 1
 
6.7%
文 1
 
6.7%
男 1
 
6.7%
著 1
 
6.7%
有 1
 
6.7%
秋 1
 
6.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
Katakana
ValueCountFrequency (%)
ノ 3
42.9%
ヮ 2
28.6%
ワ 2
28.6%
Box Drawing
ValueCountFrequency (%)
│ 2
100.0%
Misc Technical
ValueCountFrequency (%)
⌒ 1
100.0%
Math Operators
ValueCountFrequency (%)
∇ 1
100.0%

등록일자
Date

Distinct1211
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
Minimum2016-09-05 00:00:00
Maximum2024-05-10 00:00:00
2024-05-11T14:43:35.385893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:35.625921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

섬네일주소
Text

Distinct1767
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2024-05-11T14:43:35.979597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length48
Mean length48.148491
Min length48

Characters and Unicode

Total characters98897
Distinct characters70
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1483 ?
Unique (%)72.2%

Sample

1st rowhttps://i.ytimg.com/vi/K8b5WUr-D4E/hqdefault.jpg
2nd rowhttps://i.ytimg.com/vi/yV6KY1GzKrg/hqdefault.jpg
3rd rowhttps://i.ytimg.com/vi/wIm3QGIKGX4/hqdefault.jpg
4th rowhttps://i.ytimg.com/vi/I0llD9n4RuQ/hqdefault.jpg
5th rowhttps://i.ytimg.com/vi/_XLCnaNM3JE/hqdefault.jpg
ValueCountFrequency (%)
https://i.ytimg.com/vi/p0ovugkyndy/hqdefault.jpg 4
 
0.2%
https://i.ytimg.com/vi/5slk3fcovxy/hqdefault.jpg 3
 
0.1%
https://i.ytimg.com/vi/qwafy1rvxjs/hqdefault.jpg 2
 
0.1%
https://i.ytimg.com/vi/51wpxukx6rs/hqdefault.jpg 2
 
0.1%
https://i.ytimg.com/vi/evhxxxpux5e/hqdefault.jpg 2
 
0.1%
https://i.ytimg.com/vi/v4wbpldlc9k/hqdefault.jpg 2
 
0.1%
https://i.ytimg.com/vi/jl41mc_x5ag/hqdefault.jpg 2
 
0.1%
https://i.ytimg.com/vi/1my1cqtumi4/hqdefault.jpg 2
 
0.1%
https://i.ytimg.com/vi/jzsnmiajuwo/hqdefault.jpg 2
 
0.1%
https://i.ytimg.com/vi/lun-acw-js8/hqdefault.jpg 2
 
0.1%
Other values (1757) 2031
98.9%
2024-05-11T14:43:36.586829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 10270
 
10.4%
t 8547
 
8.6%
i 6521
 
6.6%
. 6162
 
6.2%
g 4617
 
4.7%
p 4473
 
4.5%
h 4452
 
4.5%
m 4417
 
4.5%
c 2517
 
2.5%
o 2502
 
2.5%
Other values (60) 44419
44.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 66933
67.7%
Other Punctuation 18489
 
18.7%
Uppercase Letter 9269
 
9.4%
Decimal Number 3563
 
3.6%
Connector Punctuation 333
 
0.3%
Dash Punctuation 307
 
0.3%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 8547
 
12.8%
i 6521
 
9.7%
g 4617
 
6.9%
p 4473
 
6.7%
h 4452
 
6.7%
m 4417
 
6.6%
c 2517
 
3.8%
o 2502
 
3.7%
s 2488
 
3.7%
l 2456
 
3.7%
Other values (16) 23943
35.8%
Uppercase Letter
ValueCountFrequency (%)
Q 503
 
5.4%
Y 463
 
5.0%
U 458
 
4.9%
A 457
 
4.9%
I 451
 
4.9%
M 442
 
4.8%
E 393
 
4.2%
X 349
 
3.8%
F 343
 
3.7%
Z 342
 
3.7%
Other values (16) 5068
54.7%
Decimal Number
ValueCountFrequency (%)
0 460
12.9%
4 453
12.7%
8 439
12.3%
5 357
10.0%
2 346
9.7%
7 327
9.2%
6 302
8.5%
1 297
8.3%
3 296
8.3%
9 286
8.0%
Other Punctuation
ValueCountFrequency (%)
/ 10270
55.5%
. 6162
33.3%
: 2054
 
11.1%
& 2
 
< 0.1%
? 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 307
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 76202
77.1%
Common 22695
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 8547
 
11.2%
i 6521
 
8.6%
g 4617
 
6.1%
p 4473
 
5.9%
h 4452
 
5.8%
m 4417
 
5.8%
c 2517
 
3.3%
o 2502
 
3.3%
s 2488
 
3.3%
l 2456
 
3.2%
Other values (42) 33212
43.6%
Common
ValueCountFrequency (%)
/ 10270
45.3%
. 6162
27.2%
: 2054
 
9.1%
0 460
 
2.0%
4 453
 
2.0%
8 439
 
1.9%
5 357
 
1.6%
2 346
 
1.5%
_ 333
 
1.5%
7 327
 
1.4%
Other values (8) 1494
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 10270
 
10.4%
t 8547
 
8.6%
i 6521
 
6.6%
. 6162
 
6.2%
g 4617
 
4.7%
p 4473
 
4.5%
h 4452
 
4.5%
m 4417
 
4.5%
c 2517
 
2.5%
o 2502
 
2.5%
Other values (60) 44419
44.9%

페이지주소
Text

UNIQUE 

Distinct2054
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
2024-05-11T14:43:36.957382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length48
Mean length47.245862
Min length44

Characters and Unicode

Total characters97043
Distinct characters38
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

Unique2054 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ebn.go.kr/vod_view.asp?c=2&idx=1
2nd rowhttps://www.ebn.go.kr/vod_view.asp?c=2&idx=2
3rd rowhttps://www.ebn.go.kr/vod_view.asp?c=2&idx=3
4th rowhttps://www.ebn.go.kr/vod_view.asp?c=2&idx=4
5th rowhttps://www.ebn.go.kr/vod_view.asp?c=2&idx=5
ValueCountFrequency (%)
https://www.ebn.go.kr/vod_view.asp?c=2&idx=1 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=15&idx=1459 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=12&idx=1557 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=15&idx=1556 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=12&idx=1555 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=6&idx=1554 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=6&idx=1553 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=5&idx=1552 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=10&idx=1551 1
 
< 0.1%
https://www.ebn.go.kr/vod_view.asp?c=6&idx=1550 1
 
< 0.1%
Other values (2044) 2044
99.5%
2024-05-11T14:43:37.554330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 8216
 
8.5%
. 8216
 
8.5%
/ 6162
 
6.3%
t 4108
 
4.2%
p 4108
 
4.2%
e 4108
 
4.2%
i 4108
 
4.2%
d 4108
 
4.2%
= 4108
 
4.2%
o 4108
 
4.2%
Other values (28) 45693
47.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 59293
61.1%
Other Punctuation 20540
 
21.2%
Decimal Number 10502
 
10.8%
Math Symbol 4108
 
4.2%
Connector Punctuation 1781
 
1.8%
Uppercase Letter 819
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 8216
13.9%
t 4108
 
6.9%
p 4108
 
6.9%
e 4108
 
6.9%
i 4108
 
6.9%
d 4108
 
6.9%
o 4108
 
6.9%
v 4108
 
6.9%
s 3835
 
6.5%
h 2054
 
3.5%
Other values (8) 16432
27.7%
Decimal Number
ValueCountFrequency (%)
1 2405
22.9%
2 1792
17.1%
0 1220
11.6%
5 976
9.3%
6 938
 
8.9%
3 772
 
7.4%
4 648
 
6.2%
8 601
 
5.7%
7 582
 
5.5%
9 568
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 8216
40.0%
/ 6162
30.0%
? 2054
 
10.0%
& 2054
 
10.0%
: 2054
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
E 273
33.3%
B 273
33.3%
N 273
33.3%
Math Symbol
ValueCountFrequency (%)
= 4108
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1781
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 60112
61.9%
Common 36931
38.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 8216
13.7%
t 4108
 
6.8%
p 4108
 
6.8%
e 4108
 
6.8%
i 4108
 
6.8%
d 4108
 
6.8%
o 4108
 
6.8%
v 4108
 
6.8%
s 3835
 
6.4%
h 2054
 
3.4%
Other values (11) 17251
28.7%
Common
ValueCountFrequency (%)
. 8216
22.2%
/ 6162
16.7%
= 4108
11.1%
1 2405
 
6.5%
? 2054
 
5.6%
& 2054
 
5.6%
: 2054
 
5.6%
2 1792
 
4.9%
_ 1781
 
4.8%
0 1220
 
3.3%
Other values (7) 5085
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 8216
 
8.5%
. 8216
 
8.5%
/ 6162
 
6.3%
t 4108
 
4.2%
p 4108
 
4.2%
e 4108
 
4.2%
i 4108
 
4.2%
d 4108
 
4.2%
= 4108
 
4.2%
o 4108
 
4.2%
Other values (28) 45693
47.1%

Interactions

2024-05-11T14:43:32.363918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-05-11T14:43:32.517911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:43:32.650970image/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

일련번호제목내용등록일자섬네일주소페이지주소
01직원 4대폭력 예방교육은평구는 성에 대한 건전한 가치관 조성을 위해 '성희롱 성매매 및 성폭력, 가정폭력 예방교육'을 실시했습니다.2018-07-25 00:00:00.0https://i.ytimg.com/vi/K8b5WUr-D4E/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=1
12사랑의 삼계탕 나눔잔치은평구에서는 지역 어르신들의 건강한 여름나기를 위한 특별한 나눔 행사가 마련됐습니다.2018-07-25 00:00:00.0https://i.ytimg.com/vi/yV6KY1GzKrg/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=2
23수색119안전센터 이전 준공식수색, 증산, 신사동에서 각종 재난활동을 수행해온 서울 은평소방서는 수색119안전센터가 노후화됨에 따라, 신청사를 건립했습니다.2018-07-25 00:00:00.0https://i.ytimg.com/vi/wIm3QGIKGX4/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=3
34은평구 양성평등주간 기념행사은평구에서는 양성평등주간을 맞아 양성평등 인식 개선을 위한 다채로운 행사를 마련했습니다.2018-07-23 00:00:00.0https://i.ytimg.com/vi/I0llD9n4RuQ/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=4
45안전은평을 위한 불법촬영장비 합동점검은평구는 은평경찰서와 함께 구민의 안전을 지키기 위한 '불법촬영장비 합동 점검'을 실시했습니다.2018-07-23 00:00:00.0https://i.ytimg.com/vi/_XLCnaNM3JE/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=5
56다문화 자원봉사단 다누리 발대식은평구에서는 이웃사랑 실천을 위한 다문화 자원봉사단이 결성됐습니다.2018-07-20 00:00:00.0https://i.ytimg.com/vi/X_Q0B_a5SaU/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=6
67안전은평을 위한 탄력순찰 홍보 캠페인서울서부경찰서는 은평구민과 함께 안전도시를 조성하기 위한 '탄력순찰 홍보 캠페인 및 합동순찰'을 실시했습니다.2018-07-17 00:00:00.0https://i.ytimg.com/vi/7HCLOy54pf8/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=7
78제257회 은평구의회 임시회 뉴스은평구의회는 7월 9일부터 12일까지 제8대 은평구의회 의장단 및 위원회 구성을 위한 제257회 임시회를 개최했습니다.2018-07-12 00:00:00.0https://i.ytimg.com/vi/m4eLXlF7cto/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=8
89민선7기 구청장 동 방문 인사회은평구에서는 7월 10일부터 19일까지 민선7기 구정운영 방향을 주민들과 공유하기 위한 '동 방문 인사회'가 개최됩니다.2018-07-12 00:00:00.0https://i.ytimg.com/vi/1-t9Bbkb-Is/hqdefault.jpghttps://www.ebn.go.kr/vod_view.asp?c=2&idx=9
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일련번호제목내용등록일자섬네일주소페이지주소
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