Overview

Dataset statistics

Number of variables13
Number of observations8027
Missing cells17993
Missing cells (%)17.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory854.6 KiB
Average record size in memory109.0 B

Variable types

Numeric5
Text5
Categorical3

Dataset

Description투표번호,투표제목,투표취지,투표시작,투표종료,등록자(닉네임),투표구분,투표상태,참여자,댓글수,정책반영유무,정책반영게시글,투표상세URL
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-13442/S/1/datasetView.do

Alerts

투표번호 is highly overall correlated with 투표시작 and 1 other fieldsHigh correlation
투표시작 is highly overall correlated with 투표번호 and 1 other fieldsHigh correlation
투표종료 is highly overall correlated with 투표번호 and 1 other fieldsHigh correlation
참여자 is highly overall correlated with 댓글수High correlation
댓글수 is highly overall correlated with 참여자High correlation
투표구분 is highly overall correlated with 정책반영유무High correlation
정책반영유무 is highly overall correlated with 투표구분High correlation
투표상태 is highly imbalanced (74.6%)Imbalance
정책반영유무 is highly imbalanced (56.1%)Imbalance
투표취지 has 3318 (41.3%) missing valuesMissing
등록자(닉네임) has 3008 (37.5%) missing valuesMissing
참여자 has 344 (4.3%) missing valuesMissing
댓글수 has 4024 (50.1%) missing valuesMissing
정책반영게시글 has 7299 (90.9%) missing valuesMissing
참여자 is highly skewed (γ1 = 27.73795463)Skewed
댓글수 is highly skewed (γ1 = 20.9671017)Skewed

Reproduction

Analysis started2024-05-04 04:06:08.980627
Analysis finished2024-05-04 04:06:27.993786
Duration19.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

투표번호
Real number (ℝ)

HIGH CORRELATION 

Distinct8022
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44387.836
Minimum555
Maximum86876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.7 KiB
2024-05-04T04:06:28.237046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile6061.3
Q128011
median43747
Q362501
95-th percentile83241.7
Maximum86876
Range86321
Interquartile range (IQR)34490

Descriptive statistics

Standard deviation23502.042
Coefficient of variation (CV)0.52947033
Kurtosis-0.94776054
Mean44387.836
Median Absolute Deviation (MAD)18425
Skewness-0.075562372
Sum3.5630116 × 108
Variance5.5234598 × 108
MonotonicityDecreasing
2024-05-04T04:06:28.700776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63366 2
 
< 0.1%
41338 2
 
< 0.1%
63338 2
 
< 0.1%
86417 2
 
< 0.1%
63285 2
 
< 0.1%
33783 1
 
< 0.1%
33784 1
 
< 0.1%
33785 1
 
< 0.1%
33781 1
 
< 0.1%
33799 1
 
< 0.1%
Other values (8012) 8012
99.8%
ValueCountFrequency (%)
555 1
< 0.1%
762 1
< 0.1%
764 1
< 0.1%
765 1
< 0.1%
773 1
< 0.1%
774 1
< 0.1%
782 1
< 0.1%
783 1
< 0.1%
784 1
< 0.1%
785 1
< 0.1%
ValueCountFrequency (%)
86876 1
< 0.1%
86854 1
< 0.1%
86852 1
< 0.1%
86851 1
< 0.1%
86850 1
< 0.1%
86849 1
< 0.1%
86848 1
< 0.1%
86847 1
< 0.1%
86846 1
< 0.1%
86845 1
< 0.1%
Distinct7690
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size62.8 KiB
2024-05-04T04:06:29.334526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length268
Median length198
Mean length42.366887
Min length1

Characters and Unicode

Total characters340079
Distinct characters1315
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7486 ?
Unique (%)93.3%

Sample

1st row어린이집에서 12~24개월(만2세)까지 식단을 따로 제공하는 것에 대해 어떻게 생각하시나요?
2nd row광화문광장 육조마당에서 팝업! 펀업! 행사를 진행하는것 아시나요?
3rd row「서울형 키즈카페」에 키즈 메뉴용 「AI 브런치 로봇」을 설치하면 어떨까요?
4th row‘Let’s Nodeul(렛츠 노들) 서포터즈
5th row서울 문화의 밤
ValueCountFrequency (%)
어떻게 666
 
1.0%
알고 438
 
0.6%
서울시 424
 
0.6%
364
 
0.5%
대해 361
 
0.5%
있습니다 317
 
0.5%
가장 299
 
0.4%
조사 288
 
0.4%
생각하시나요 283
 
0.4%
위한 283
 
0.4%
Other values (28320) 65907
94.7%
2024-05-04T04:06:30.778246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65029
 
19.1%
? 5581
 
1.6%
5243
 
1.5%
5180
 
1.5%
5010
 
1.5%
4862
 
1.4%
4538
 
1.3%
3966
 
1.2%
3898
 
1.1%
3813
 
1.1%
Other values (1305) 232959
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233591
68.7%
Space Separator 65029
 
19.1%
Other Punctuation 15998
 
4.7%
Decimal Number 13842
 
4.1%
Lowercase Letter 5562
 
1.6%
Close Punctuation 1740
 
0.5%
Open Punctuation 1733
 
0.5%
Uppercase Letter 1384
 
0.4%
Math Symbol 356
 
0.1%
Final Punctuation 262
 
0.1%
Other values (7) 582
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5243
 
2.2%
5180
 
2.2%
5010
 
2.1%
4862
 
2.1%
4538
 
1.9%
3966
 
1.7%
3898
 
1.7%
3813
 
1.6%
3314
 
1.4%
3251
 
1.4%
Other values (1171) 190516
81.6%
Lowercase Letter
ValueCountFrequency (%)
t 813
14.6%
o 605
 
10.9%
e 456
 
8.2%
s 442
 
7.9%
u 424
 
7.6%
a 250
 
4.5%
q 248
 
4.5%
r 242
 
4.4%
i 220
 
4.0%
l 219
 
3.9%
Other values (16) 1643
29.5%
Uppercase Letter
ValueCountFrequency (%)
S 134
 
9.7%
T 123
 
8.9%
C 112
 
8.1%
I 107
 
7.7%
O 106
 
7.7%
D 76
 
5.5%
P 73
 
5.3%
B 64
 
4.6%
A 64
 
4.6%
M 63
 
4.6%
Other values (16) 462
33.4%
Other Punctuation
ValueCountFrequency (%)
? 5581
34.9%
. 3067
19.2%
, 1868
 
11.7%
; 1368
 
8.6%
& 1365
 
8.5%
# 1006
 
6.3%
! 753
 
4.7%
/ 496
 
3.1%
: 219
 
1.4%
' 115
 
0.7%
Other values (8) 160
 
1.0%
Other Symbol
ValueCountFrequency (%)
15
31.9%
7
14.9%
5
 
10.6%
4
 
8.5%
3
 
6.4%
2
 
4.3%
2
 
4.3%
1
 
2.1%
1
 
2.1%
1
 
2.1%
Other values (6) 6
 
12.8%
Decimal Number
ValueCountFrequency (%)
0 3379
24.4%
2 2732
19.7%
1 2285
16.5%
3 1729
12.5%
9 1463
10.6%
5 551
 
4.0%
4 508
 
3.7%
7 481
 
3.5%
8 365
 
2.6%
6 349
 
2.5%
Other Number
ValueCountFrequency (%)
4
25.0%
4
25.0%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Math Symbol
ValueCountFrequency (%)
~ 305
85.7%
+ 20
 
5.6%
= 13
 
3.7%
> 6
 
1.7%
5
 
1.4%
< 5
 
1.4%
| 2
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1344
77.2%
] 239
 
13.7%
129
 
7.4%
25
 
1.4%
2
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1337
77.1%
[ 239
 
13.8%
129
 
7.4%
25
 
1.4%
2
 
0.1%
1
 
0.1%
Initial Punctuation
ValueCountFrequency (%)
232
89.6%
27
 
10.4%
Final Punctuation
ValueCountFrequency (%)
231
88.2%
31
 
11.8%
Modifier Symbol
ValueCountFrequency (%)
^ 42
61.8%
` 26
38.2%
Space Separator
ValueCountFrequency (%)
65029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233543
68.7%
Common 99542
29.3%
Latin 6946
 
2.0%
Han 48
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5243
 
2.2%
5180
 
2.2%
5010
 
2.1%
4862
 
2.1%
4538
 
1.9%
3966
 
1.7%
3898
 
1.7%
3813
 
1.6%
3314
 
1.4%
3251
 
1.4%
Other values (1133) 190468
81.6%
Common
ValueCountFrequency (%)
65029
65.3%
? 5581
 
5.6%
0 3379
 
3.4%
. 3067
 
3.1%
2 2732
 
2.7%
1 2285
 
2.3%
, 1868
 
1.9%
3 1729
 
1.7%
9 1463
 
1.5%
; 1368
 
1.4%
Other values (72) 11041
 
11.1%
Latin
ValueCountFrequency (%)
t 813
 
11.7%
o 605
 
8.7%
e 456
 
6.6%
s 442
 
6.4%
u 424
 
6.1%
a 250
 
3.6%
q 248
 
3.6%
r 242
 
3.5%
i 220
 
3.2%
l 219
 
3.2%
Other values (42) 3027
43.6%
Han
ValueCountFrequency (%)
3
 
6.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
1
 
2.1%
Other values (28) 28
58.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233470
68.7%
ASCII 105554
31.0%
Punctuation 550
 
0.2%
None 316
 
0.1%
Compat Jamo 73
 
< 0.1%
CJK 48
 
< 0.1%
Misc Symbols 32
 
< 0.1%
Enclosed Alphanum 16
 
< 0.1%
Geometric Shapes 11
 
< 0.1%
Arrows 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65029
61.6%
? 5581
 
5.3%
0 3379
 
3.2%
. 3067
 
2.9%
2 2732
 
2.6%
1 2285
 
2.2%
, 1868
 
1.8%
3 1729
 
1.6%
9 1463
 
1.4%
; 1368
 
1.3%
Other values (82) 17053
 
16.2%
Hangul
ValueCountFrequency (%)
5243
 
2.2%
5180
 
2.2%
5010
 
2.1%
4862
 
2.1%
4538
 
1.9%
3966
 
1.7%
3898
 
1.7%
3813
 
1.6%
3314
 
1.4%
3251
 
1.4%
Other values (1117) 190395
81.6%
Punctuation
ValueCountFrequency (%)
232
42.2%
231
42.0%
31
 
5.6%
27
 
4.9%
19
 
3.5%
8
 
1.5%
2
 
0.4%
None
ValueCountFrequency (%)
129
40.8%
129
40.8%
25
 
7.9%
25
 
7.9%
2
 
0.6%
2
 
0.6%
· 2
 
0.6%
1
 
0.3%
1
 
0.3%
Compat Jamo
ValueCountFrequency (%)
16
21.9%
8
11.0%
7
9.6%
5
 
6.8%
5
 
6.8%
5
 
6.8%
4
 
5.5%
4
 
5.5%
4
 
5.5%
3
 
4.1%
Other values (6) 12
16.4%
Misc Symbols
ValueCountFrequency (%)
15
46.9%
7
21.9%
5
 
15.6%
2
 
6.2%
1
 
3.1%
1
 
3.1%
1
 
3.1%
Arrows
ValueCountFrequency (%)
5
100.0%
Geometric Shapes
ValueCountFrequency (%)
4
36.4%
3
27.3%
2
18.2%
1
 
9.1%
1
 
9.1%
Enclosed Alphanum
ValueCountFrequency (%)
4
25.0%
4
25.0%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
CJK
ValueCountFrequency (%)
3
 
6.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
1
 
2.1%
Other values (28) 28
58.3%
CJK Compat
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

투표취지
Text

MISSING 

Distinct4115
Distinct (%)87.4%
Missing3318
Missing (%)41.3%
Memory size62.8 KiB
2024-05-04T04:06:31.410924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length601
Mean length147.0601
Min length1

Characters and Unicode

Total characters692506
Distinct characters1411
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3913 ?
Unique (%)83.1%

Sample

1st row많은 소아과 전문의가 &quot;지금 아토피더라도, 24개월까지 아기들의 먹거리를 조심하면 좋아질 수 있다.&quot;라고 말합니다. 그만큼 12~24개월의 아기 먹거리가 중요하다는 말이지요. 하지만 어린이집 식단은 이런 부분이 고려되지 않은 것이 현실입니다. 어린이집에서 12~24개월까지 식단을 따로 제공하는 것에 어떻게 생각하시나요?
2nd row어린이날 어디 갈까?…고민되시나요? - 5월 4일(토)~5월 6일(월) 광화문광장 육조마당에서, ‘광화문 가족 동행 축제 팝업!펀업!’ 개최합니다. 이번 행사 컨셉은 광화문광장에 미디어 체험?이벤트 팝업 부스로 재미있는 공간을 만들고, 그 공간에서 즐거움을 선사하는 것입니다. 자세한 내용은 광화문광장 누리집을 통해 확인할 수 있습니다.
3rd row푸드테크 로봇에 대한 시민인지도 조사
4th row푸드테크 로봇에 대한 시민인지도 조사
5th row손목닥터9988 사업 참여자들에게 지급하는 적립 및 사용 가능한 서울페이머니(포인트) 연 10만 한도에 대해서 이제 사업 2년차를 지나고 있는 시점에 만약 어느 정도 증액 가능하다면 페이머니 적립 상한선은 어느 정도로 설정하는 게 좋을지에 대한 시민 의견을 묻습니다. * 참고 공지: 서울페이머니 사용처 서울페이 사용 가능처로 확대됨
ValueCountFrequency (%)
2239
 
1.9%
919
 
0.8%
있습니다 742
 
0.6%
합니다 673
 
0.6%
대한 619
 
0.5%
586
 
0.5%
style=&quot;font-size 553
 
0.5%
위해 493
 
0.4%
의견을 462
 
0.4%
서울시 457
 
0.4%
Other values (37479) 111575
93.5%
2024-05-04T04:06:32.775044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120700
 
17.4%
t 20627
 
3.0%
; 18609
 
2.7%
& 15184
 
2.2%
. 8654
 
1.2%
l 8340
 
1.2%
8313
 
1.2%
7719
 
1.1%
7346
 
1.1%
7345
 
1.1%
Other values (1401) 469669
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362826
52.4%
Space Separator 120701
 
17.4%
Lowercase Letter 103578
 
15.0%
Other Punctuation 59356
 
8.6%
Decimal Number 28377
 
4.1%
Dash Punctuation 5858
 
0.8%
Close Punctuation 2682
 
0.4%
Open Punctuation 2640
 
0.4%
Math Symbol 2417
 
0.3%
Uppercase Letter 2327
 
0.3%
Other values (7) 1744
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8313
 
2.3%
7719
 
2.1%
7346
 
2.0%
7345
 
2.0%
6619
 
1.8%
6517
 
1.8%
6500
 
1.8%
6110
 
1.7%
6061
 
1.7%
6027
 
1.7%
Other values (1243) 294269
81.1%
Other Symbol
ValueCountFrequency (%)
187
26.3%
122
17.2%
77
10.8%
66
 
9.3%
63
 
8.9%
41
 
5.8%
24
 
3.4%
23
 
3.2%
18
 
2.5%
17
 
2.4%
Other values (19) 73
 
10.3%
Lowercase Letter
ValueCountFrequency (%)
t 20627
19.9%
l 8340
 
8.1%
o 6982
 
6.7%
s 6964
 
6.7%
g 6808
 
6.6%
n 6392
 
6.2%
a 5860
 
5.7%
p 5824
 
5.6%
i 4998
 
4.8%
e 4168
 
4.0%
Other values (16) 26615
25.7%
Uppercase Letter
ValueCountFrequency (%)
S 340
14.6%
N 235
 
10.1%
E 215
 
9.2%
U 202
 
8.7%
R 123
 
5.3%
C 112
 
4.8%
P 98
 
4.2%
D 94
 
4.0%
A 87
 
3.7%
I 84
 
3.6%
Other values (16) 737
31.7%
Other Punctuation
ValueCountFrequency (%)
; 18609
31.4%
& 15184
25.6%
. 8654
14.6%
: 4474
 
7.5%
/ 4044
 
6.8%
, 3925
 
6.6%
? 1888
 
3.2%
# 1029
 
1.7%
! 712
 
1.2%
% 301
 
0.5%
Other values (7) 536
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 1610
66.6%
~ 728
30.1%
+ 21
 
0.9%
< 12
 
0.5%
> 12
 
0.5%
11
 
0.5%
10
 
0.4%
4
 
0.2%
4
 
0.2%
2
 
0.1%
Other values (3) 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 6716
23.7%
2 5361
18.9%
1 5008
17.6%
3 3476
12.2%
9 1958
 
6.9%
5 1419
 
5.0%
4 1289
 
4.5%
8 1118
 
3.9%
7 1100
 
3.9%
6 932
 
3.3%
Other Number
ValueCountFrequency (%)
10
24.4%
10
24.4%
8
19.5%
4
 
9.8%
3
 
7.3%
2
 
4.9%
1
 
2.4%
1
 
2.4%
1
 
2.4%
1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 2275
84.8%
] 219
 
8.2%
137
 
5.1%
35
 
1.3%
6
 
0.2%
5
 
0.2%
4
 
0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2239
84.8%
[ 219
 
8.3%
137
 
5.2%
35
 
1.3%
5
 
0.2%
4
 
0.2%
1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 182
93.3%
˘ 8
 
4.1%
` 5
 
2.6%
Space Separator
ValueCountFrequency (%)
120700
> 99.9%
  1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
337
90.3%
36
 
9.7%
Initial Punctuation
ValueCountFrequency (%)
324
89.3%
39
 
10.7%
Dash Punctuation
ValueCountFrequency (%)
- 5858
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 57
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362748
52.4%
Common 223774
32.3%
Latin 105905
 
15.3%
Han 79
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8313
 
2.3%
7719
 
2.1%
7346
 
2.0%
7345
 
2.0%
6619
 
1.8%
6517
 
1.8%
6500
 
1.8%
6110
 
1.7%
6061
 
1.7%
6027
 
1.7%
Other values (1201) 294191
81.1%
Common
ValueCountFrequency (%)
120700
53.9%
; 18609
 
8.3%
& 15184
 
6.8%
. 8654
 
3.9%
0 6716
 
3.0%
- 5858
 
2.6%
2 5361
 
2.4%
1 5008
 
2.2%
: 4474
 
2.0%
/ 4044
 
1.8%
Other values (95) 29166
 
13.0%
Latin
ValueCountFrequency (%)
t 20627
19.5%
l 8340
 
7.9%
o 6982
 
6.6%
s 6964
 
6.6%
g 6808
 
6.4%
n 6392
 
6.0%
a 5860
 
5.5%
p 5824
 
5.5%
i 4998
 
4.7%
e 4168
 
3.9%
Other values (42) 28942
27.3%
Han
ValueCountFrequency (%)
10
 
12.7%
9
 
11.4%
4
 
5.1%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.5%
Other values (33) 36
45.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362528
52.4%
ASCII 327581
47.3%
Punctuation 923
 
0.1%
Geometric Shapes 462
 
0.1%
None 405
 
0.1%
Misc Symbols 229
 
< 0.1%
Compat Jamo 219
 
< 0.1%
CJK 79
 
< 0.1%
Enclosed Alphanum 41
 
< 0.1%
CJK Compat 15
 
< 0.1%
Other values (4) 24
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120700
36.8%
t 20627
 
6.3%
; 18609
 
5.7%
& 15184
 
4.6%
. 8654
 
2.6%
l 8340
 
2.5%
o 6982
 
2.1%
s 6964
 
2.1%
g 6808
 
2.1%
0 6716
 
2.1%
Other values (80) 107997
33.0%
Hangul
ValueCountFrequency (%)
8313
 
2.3%
7719
 
2.1%
7346
 
2.0%
7345
 
2.0%
6619
 
1.8%
6517
 
1.8%
6500
 
1.8%
6110
 
1.7%
6061
 
1.7%
6027
 
1.7%
Other values (1178) 293971
81.1%
Punctuation
ValueCountFrequency (%)
337
36.5%
324
35.1%
183
19.8%
39
 
4.2%
36
 
3.9%
4
 
0.4%
Geometric Shapes
ValueCountFrequency (%)
187
40.5%
77
16.7%
66
 
14.3%
41
 
8.9%
24
 
5.2%
23
 
5.0%
17
 
3.7%
10
 
2.2%
5
 
1.1%
4
 
0.9%
Other values (3) 8
 
1.7%
None
ValueCountFrequency (%)
137
33.8%
137
33.8%
35
 
8.6%
35
 
8.6%
° 13
 
3.2%
· 10
 
2.5%
6
 
1.5%
5
 
1.2%
5
 
1.2%
4
 
1.0%
Other values (9) 18
 
4.4%
Misc Symbols
ValueCountFrequency (%)
122
53.3%
63
27.5%
18
 
7.9%
12
 
5.2%
7
 
3.1%
3
 
1.3%
1
 
0.4%
1
 
0.4%
1
 
0.4%
1
 
0.4%
Compat Jamo
ValueCountFrequency (%)
73
33.3%
28
 
12.8%
27
 
12.3%
11
 
5.0%
10
 
4.6%
8
 
3.7%
8
 
3.7%
8
 
3.7%
8
 
3.7%
7
 
3.2%
Other values (12) 31
14.2%
Arrows
ValueCountFrequency (%)
11
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
10
24.4%
10
24.4%
8
19.5%
4
 
9.8%
3
 
7.3%
2
 
4.9%
1
 
2.4%
1
 
2.4%
1
 
2.4%
1
 
2.4%
CJK
ValueCountFrequency (%)
10
 
12.7%
9
 
11.4%
4
 
5.1%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.5%
Other values (33) 36
45.6%
CJK Compat
ValueCountFrequency (%)
10
66.7%
3
 
20.0%
1
 
6.7%
1
 
6.7%
Modifier Letters
ValueCountFrequency (%)
˘ 8
100.0%
Math Operators
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

투표시작
Real number (ℝ)

HIGH CORRELATION 

Distinct7163
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0182503 × 1011
Minimum2.0140128 × 1011
Maximum2.0240503 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.7 KiB
2024-05-04T04:06:33.215650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0140128 × 1011
5-th percentile2.0140618 × 1011
Q12.0150529 × 1011
median2.0180119 × 1011
Q32.0210917 × 1011
95-th percentile2.0231124 × 1011
Maximum2.0240503 × 1011
Range1.0037515 × 109
Interquartile range (IQR)6.0387976 × 108

Descriptive statistics

Standard deviation3.2737794 × 108
Coefficient of variation (CV)0.0016220879
Kurtosis-1.3510552
Mean2.0182503 × 1011
Median Absolute Deviation (MAD)3.0392087 × 108
Skewness0.18280034
Sum1.6200495 × 1015
Variance1.0717632 × 1017
MonotonicityNot monotonic
2024-05-04T04:06:33.726053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202206150900 31
 
0.4%
201409181000 28
 
0.3%
202202030900 15
 
0.2%
201711010900 13
 
0.2%
201711280900 11
 
0.1%
201712040900 11
 
0.1%
201711070900 10
 
0.1%
201712010900 10
 
0.1%
202401040059 10
 
0.1%
202212050900 9
 
0.1%
Other values (7153) 7879
98.2%
ValueCountFrequency (%)
201401280000 1
< 0.1%
201402060000 2
< 0.1%
201402060859 1
< 0.1%
201402060916 1
< 0.1%
201402060919 1
< 0.1%
201402080614 1
< 0.1%
201402081500 1
< 0.1%
201402081504 1
< 0.1%
201402081537 1
< 0.1%
201402081549 1
< 0.1%
ValueCountFrequency (%)
202405031501 1
< 0.1%
202405030620 1
< 0.1%
202405020000 1
< 0.1%
202405011955 1
< 0.1%
202405011816 1
< 0.1%
202405011811 2
< 0.1%
202405011810 1
< 0.1%
202405011804 2
< 0.1%
202405011803 1
< 0.1%
202405011801 2
< 0.1%

투표종료
Real number (ℝ)

HIGH CORRELATION 

Distinct6388
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0183144 × 1011
Minimum2.0140208 × 1011
Maximum2.0241231 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.7 KiB
2024-05-04T04:06:34.190952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0140208 × 1011
5-th percentile2.0140627 × 1011
Q12.0150804 × 1011
median2.0180228 × 1011
Q32.0211017 × 1011
95-th percentile2.0231218 × 1011
Maximum2.0241231 × 1011
Range1.0102324 × 109
Interquartile range (IQR)6.0213 × 108

Descriptive statistics

Standard deviation3.2654403 × 108
Coefficient of variation (CV)0.0016179047
Kurtosis-1.3373449
Mean2.0183144 × 1011
Median Absolute Deviation (MAD)3.0119923 × 108
Skewness0.19413516
Sum1.620101 × 1015
Variance1.06631 × 1017
MonotonicityNot monotonic
2024-05-04T04:06:34.686889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201410101800 30
 
0.4%
202206211200 30
 
0.4%
201711302300 21
 
0.3%
201711301800 17
 
0.2%
201705312359 17
 
0.2%
202204302359 16
 
0.2%
201712312359 16
 
0.2%
201707312359 16
 
0.2%
201412310900 16
 
0.2%
201711300900 15
 
0.2%
Other values (6378) 7833
97.6%
ValueCountFrequency (%)
201402080000 1
< 0.1%
201402090916 1
< 0.1%
201402132014 1
< 0.1%
201402132019 1
< 0.1%
201402141305 1
< 0.1%
201403061200 1
< 0.1%
201403081200 2
< 0.1%
201403091319 1
< 0.1%
201403092047 1
< 0.1%
201403100809 1
< 0.1%
ValueCountFrequency (%)
202412312359 1
< 0.1%
202406090852 1
< 0.1%
202406082231 1
< 0.1%
202406062002 1
< 0.1%
202406052314 1
< 0.1%
202406051010 1
< 0.1%
202406042215 1
< 0.1%
202406042212 1
< 0.1%
202406042210 1
< 0.1%
202406042102 1
< 0.1%

등록자(닉네임)
Text

MISSING 

Distinct649
Distinct (%)12.9%
Missing3008
Missing (%)37.5%
Memory size62.8 KiB
2024-05-04T04:06:35.327048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.2769476
Min length2

Characters and Unicode

Total characters26485
Distinct characters433
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)6.0%

Sample

1st rowwistake
2nd row이영남
3rd row이상돈
4th row잰이
5th row잰이
ValueCountFrequency (%)
서울특별시 336
 
6.6%
잰이 174
 
3.4%
seoul 158
 
3.1%
피스위버 122
 
2.4%
마니마니마니76 116
 
2.3%
서울사랑윤희 104
 
2.1%
lhaej57 103
 
2.0%
이상돈 88
 
1.7%
하얀날개 83
 
1.6%
효지 80
 
1.6%
Other values (643) 3703
73.1%
2024-05-04T04:06:36.454819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
856
 
3.2%
823
 
3.1%
677
 
2.6%
e 659
 
2.5%
653
 
2.5%
583
 
2.2%
532
 
2.0%
532
 
2.0%
473
 
1.8%
452
 
1.7%
Other values (423) 20245
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20372
76.9%
Lowercase Letter 4497
 
17.0%
Decimal Number 1180
 
4.5%
Uppercase Letter 345
 
1.3%
Space Separator 55
 
0.2%
Dash Punctuation 26
 
0.1%
Other Punctuation 7
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
856
 
4.2%
823
 
4.0%
677
 
3.3%
653
 
3.2%
583
 
2.9%
532
 
2.6%
532
 
2.6%
473
 
2.3%
452
 
2.2%
445
 
2.2%
Other values (368) 14346
70.4%
Lowercase Letter
ValueCountFrequency (%)
e 659
14.7%
l 362
 
8.0%
o 358
 
8.0%
a 345
 
7.7%
g 281
 
6.2%
n 278
 
6.2%
i 269
 
6.0%
s 269
 
6.0%
r 224
 
5.0%
u 201
 
4.5%
Other values (16) 1251
27.8%
Uppercase Letter
ValueCountFrequency (%)
C 81
23.5%
K 68
19.7%
B 56
16.2%
A 54
15.7%
I 53
15.4%
P 14
 
4.1%
S 5
 
1.4%
T 5
 
1.4%
G 4
 
1.2%
U 4
 
1.2%
Decimal Number
ValueCountFrequency (%)
7 289
24.5%
1 250
21.2%
6 145
12.3%
5 140
11.9%
2 117
9.9%
8 75
 
6.4%
0 53
 
4.5%
3 47
 
4.0%
4 43
 
3.6%
9 21
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
@ 2
28.6%
! 1
 
14.3%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20372
76.9%
Latin 4842
 
18.3%
Common 1271
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
856
 
4.2%
823
 
4.0%
677
 
3.3%
653
 
3.2%
583
 
2.9%
532
 
2.6%
532
 
2.6%
473
 
2.3%
452
 
2.2%
445
 
2.2%
Other values (368) 14346
70.4%
Latin
ValueCountFrequency (%)
e 659
13.6%
l 362
 
7.5%
o 358
 
7.4%
a 345
 
7.1%
g 281
 
5.8%
n 278
 
5.7%
i 269
 
5.6%
s 269
 
5.6%
r 224
 
4.6%
u 201
 
4.2%
Other values (27) 1596
33.0%
Common
ValueCountFrequency (%)
7 289
22.7%
1 250
19.7%
6 145
11.4%
5 140
11.0%
2 117
9.2%
8 75
 
5.9%
55
 
4.3%
0 53
 
4.2%
3 47
 
3.7%
4 43
 
3.4%
Other values (8) 57
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20355
76.9%
ASCII 6113
 
23.1%
Compat Jamo 17
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
856
 
4.2%
823
 
4.0%
677
 
3.3%
653
 
3.2%
583
 
2.9%
532
 
2.6%
532
 
2.6%
473
 
2.3%
452
 
2.2%
445
 
2.2%
Other values (364) 14329
70.4%
ASCII
ValueCountFrequency (%)
e 659
 
10.8%
l 362
 
5.9%
o 358
 
5.9%
a 345
 
5.6%
7 289
 
4.7%
g 281
 
4.6%
n 278
 
4.5%
i 269
 
4.4%
s 269
 
4.4%
1 250
 
4.1%
Other values (45) 2753
45.0%
Compat Jamo
ValueCountFrequency (%)
5
29.4%
5
29.4%
5
29.4%
2
 
11.8%

투표구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.8 KiB
우리끼리
6039 
정책투표
1988 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우리끼리
2nd row우리끼리
3rd row우리끼리
4th row우리끼리
5th row우리끼리

Common Values

ValueCountFrequency (%)
우리끼리 6039
75.2%
정책투표 1988
 
24.8%

Length

2024-05-04T04:06:36.860680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:06:37.201361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
우리끼리 6039
75.2%
정책투표 1988
 
24.8%

투표상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.8 KiB
마감
7685 
상용
 
342

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상용
2nd row상용
3rd row상용
4th row상용
5th row상용

Common Values

ValueCountFrequency (%)
마감 7685
95.7%
상용 342
 
4.3%

Length

2024-05-04T04:06:37.638250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:06:37.974750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마감 7685
95.7%
상용 342
 
4.3%

참여자
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct1025
Distinct (%)13.3%
Missing344
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean382.52232
Minimum1
Maximum156390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.7 KiB
2024-05-04T04:06:38.456725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q116
median43
Q399
95-th percentile1109.5
Maximum156390
Range156389
Interquartile range (IQR)83

Descriptive statistics

Standard deviation3829.5085
Coefficient of variation (CV)10.011203
Kurtosis881.39195
Mean382.52232
Median Absolute Deviation (MAD)32
Skewness27.737955
Sum2938919
Variance14665135
MonotonicityNot monotonic
2024-05-04T04:06:39.002442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 217
 
2.7%
2 164
 
2.0%
5 138
 
1.7%
9 138
 
1.7%
3 137
 
1.7%
8 121
 
1.5%
10 117
 
1.5%
13 116
 
1.4%
20 114
 
1.4%
15 111
 
1.4%
Other values (1015) 6310
78.6%
(Missing) 344
 
4.3%
ValueCountFrequency (%)
1 217
2.7%
2 164
2.0%
3 137
1.7%
4 107
1.3%
5 138
1.7%
6 103
1.3%
7 107
1.3%
8 121
1.5%
9 138
1.7%
10 117
1.5%
ValueCountFrequency (%)
156390 1
< 0.1%
120801 1
< 0.1%
116943 2
< 0.1%
107938 1
< 0.1%
102535 1
< 0.1%
59731 1
< 0.1%
51608 1
< 0.1%
51150 1
< 0.1%
49031 1
< 0.1%
48743 1
< 0.1%

댓글수
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct104
Distinct (%)2.6%
Missing4024
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean9.5718211
Minimum1
Maximum929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size70.7 KiB
2024-05-04T04:06:39.483014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q311
95-th percentile27
Maximum929
Range928
Interquartile range (IQR)9

Descriptive statistics

Standard deviation23.333352
Coefficient of variation (CV)2.4377129
Kurtosis686.58808
Mean9.5718211
Median Absolute Deviation (MAD)4
Skewness20.967102
Sum38316
Variance544.4453
MonotonicityNot monotonic
2024-05-04T04:06:40.088433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 750
 
9.3%
2 363
 
4.5%
3 290
 
3.6%
4 277
 
3.5%
6 262
 
3.3%
5 261
 
3.3%
7 220
 
2.7%
8 207
 
2.6%
9 173
 
2.2%
10 158
 
2.0%
Other values (94) 1042
 
13.0%
(Missing) 4024
50.1%
ValueCountFrequency (%)
1 750
9.3%
2 363
4.5%
3 290
 
3.6%
4 277
 
3.5%
5 261
 
3.3%
6 262
 
3.3%
7 220
 
2.7%
8 207
 
2.6%
9 173
 
2.2%
10 158
 
2.0%
ValueCountFrequency (%)
929 1
< 0.1%
510 1
< 0.1%
345 1
< 0.1%
324 1
< 0.1%
312 1
< 0.1%
203 1
< 0.1%
184 1
< 0.1%
178 1
< 0.1%
170 1
< 0.1%
162 1
< 0.1%

정책반영유무
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size62.8 KiB
7299 
 
728

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
7299
90.9%
728
 
9.1%

Length

2024-05-04T04:06:40.515665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:06:41.058305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7299
90.9%
728
 
9.1%

정책반영게시글
Text

MISSING 

Distinct728
Distinct (%)100.0%
Missing7299
Missing (%)90.9%
Memory size62.8 KiB
2024-05-04T04:06:41.817606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length81
Mean length80.717033
Min length78

Characters and Unicode

Total characters58762
Distinct characters37
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

Unique728 ?
Unique (%)100.0%

Sample

1st rowhttps://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=4980
2nd rowhttps://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=4960
3rd rowhttps://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=4900
4th rowhttps://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=4860
5th rowhttps://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=4940
ValueCountFrequency (%)
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=4601 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2402 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2400 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2399 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2398 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2397 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2396 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2395 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2394 1
 
0.1%
https://mvoting.seoul.go.kr/mvoting/policy/selectpolicy.do?policy_reflct_seq=2393 1
 
0.1%
Other values (718) 718
98.6%
2024-05-04T04:06:43.161628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 5824
 
9.9%
t 4368
 
7.4%
l 4368
 
7.4%
c 3640
 
6.2%
e 3640
 
6.2%
/ 3640
 
6.2%
i 3640
 
6.2%
s 2912
 
5.0%
. 2912
 
5.0%
p 2184
 
3.7%
Other values (27) 21634
36.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 45136
76.8%
Other Punctuation 8008
 
13.6%
Decimal Number 2706
 
4.6%
Connector Punctuation 1456
 
2.5%
Math Symbol 728
 
1.2%
Uppercase Letter 728
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 5824
12.9%
t 4368
9.7%
l 4368
9.7%
c 3640
 
8.1%
e 3640
 
8.1%
i 3640
 
8.1%
s 2912
 
6.5%
p 2184
 
4.8%
y 2184
 
4.8%
g 2184
 
4.8%
Other values (10) 10192
22.6%
Decimal Number
ValueCountFrequency (%)
2 698
25.8%
3 400
14.8%
4 313
11.6%
0 282
10.4%
1 260
 
9.6%
6 204
 
7.5%
8 170
 
6.3%
5 144
 
5.3%
7 119
 
4.4%
9 116
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 3640
45.5%
. 2912
36.4%
? 728
 
9.1%
: 728
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1456
100.0%
Math Symbol
ValueCountFrequency (%)
= 728
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 728
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 45864
78.1%
Common 12898
 
21.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 5824
12.7%
t 4368
 
9.5%
l 4368
 
9.5%
c 3640
 
7.9%
e 3640
 
7.9%
i 3640
 
7.9%
s 2912
 
6.3%
p 2184
 
4.8%
y 2184
 
4.8%
g 2184
 
4.8%
Other values (11) 10920
23.8%
Common
ValueCountFrequency (%)
/ 3640
28.2%
. 2912
22.6%
_ 1456
 
11.3%
? 728
 
5.6%
= 728
 
5.6%
: 728
 
5.6%
2 698
 
5.4%
3 400
 
3.1%
4 313
 
2.4%
0 282
 
2.2%
Other values (6) 1013
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58762
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 5824
 
9.9%
t 4368
 
7.4%
l 4368
 
7.4%
c 3640
 
6.2%
e 3640
 
6.2%
/ 3640
 
6.2%
i 3640
 
6.2%
s 2912
 
5.0%
. 2912
 
5.0%
p 2184
 
3.7%
Other values (27) 21634
36.8%
Distinct8022
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size62.8 KiB
2024-05-04T04:06:44.279264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length85
Mean length84.891242
Min length83

Characters and Unicode

Total characters681422
Distinct characters34
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

Unique8017 ?
Unique (%)99.9%

Sample

1st rowhttps://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86876
2nd rowhttps://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86854
3rd rowhttps://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86852
4th rowhttps://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86851
5th rowhttps://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86850
ValueCountFrequency (%)
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=63366 2
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=86417 2
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=41338 2
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=63285 2
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=63338 2
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=33794 1
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=33798 1
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=33797 1
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=33796 1
 
< 0.1%
https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectourselves.do?vote_no=33780 1
 
< 0.1%
Other values (8012) 8012
99.8%
2024-05-04T04:06:46.376153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 72243
 
10.6%
e 64216
 
9.4%
t 56189
 
8.2%
s 56189
 
8.2%
/ 48162
 
7.1%
v 48162
 
7.1%
. 32108
 
4.7%
l 32108
 
4.7%
n 32108
 
4.7%
g 32108
 
4.7%
Other values (24) 207829
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 521755
76.6%
Other Punctuation 96324
 
14.1%
Decimal Number 39262
 
5.8%
Uppercase Letter 8027
 
1.2%
Connector Punctuation 8027
 
1.2%
Math Symbol 8027
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 72243
13.8%
e 64216
12.3%
t 56189
10.8%
s 56189
10.8%
v 48162
9.2%
l 32108
 
6.2%
n 32108
 
6.2%
g 32108
 
6.2%
r 24081
 
4.6%
u 24081
 
4.6%
Other values (7) 80270
15.4%
Decimal Number
ValueCountFrequency (%)
4 4898
12.5%
5 4561
11.6%
1 4551
11.6%
6 4470
11.4%
2 3961
10.1%
3 3942
10.0%
8 3559
9.1%
7 3554
9.1%
0 3062
7.8%
9 2704
6.9%
Other Punctuation
ValueCountFrequency (%)
/ 48162
50.0%
. 32108
33.3%
? 8027
 
8.3%
: 8027
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
O 8027
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8027
100.0%
Math Symbol
ValueCountFrequency (%)
= 8027
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 529782
77.7%
Common 151640
 
22.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 72243
13.6%
e 64216
12.1%
t 56189
10.6%
s 56189
10.6%
v 48162
9.1%
l 32108
 
6.1%
n 32108
 
6.1%
g 32108
 
6.1%
r 24081
 
4.5%
u 24081
 
4.5%
Other values (8) 88297
16.7%
Common
ValueCountFrequency (%)
/ 48162
31.8%
. 32108
21.2%
_ 8027
 
5.3%
? 8027
 
5.3%
= 8027
 
5.3%
: 8027
 
5.3%
4 4898
 
3.2%
5 4561
 
3.0%
1 4551
 
3.0%
6 4470
 
2.9%
Other values (6) 20782
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 681422
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 72243
 
10.6%
e 64216
 
9.4%
t 56189
 
8.2%
s 56189
 
8.2%
/ 48162
 
7.1%
v 48162
 
7.1%
. 32108
 
4.7%
l 32108
 
4.7%
n 32108
 
4.7%
g 32108
 
4.7%
Other values (24) 207829
30.5%

Interactions

2024-05-04T04:06:24.494525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:16.443863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:18.220892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:20.361117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:22.224820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:24.856037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:16.757654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:18.648979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:20.686622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:22.580141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:25.263865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:17.094479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:19.004041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:21.034131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:22.971227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:25.670303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:17.485245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:19.425245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:21.384914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:23.355674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:26.047770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:17.889322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:19.849447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:21.849399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:06:23.790223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T04:06:46.835939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
투표번호투표시작투표종료투표구분투표상태참여자댓글수정책반영유무
투표번호1.0000.9830.9790.4370.3450.0130.0790.187
투표시작0.9831.0000.9850.4420.3220.0370.0600.237
투표종료0.9790.9851.0000.4450.3920.0400.0530.226
투표구분0.4370.4420.4451.0000.0620.0740.1780.760
투표상태0.3450.3220.3920.0621.0000.0000.0000.101
참여자0.0130.0370.0400.0740.0001.0000.8810.105
댓글수0.0790.0600.0530.1780.0000.8811.0000.237
정책반영유무0.1870.2370.2260.7600.1010.1050.2371.000
2024-05-04T04:06:47.228815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
투표구분정책반영유무투표상태
투표구분1.0000.5500.040
정책반영유무0.5501.0000.065
투표상태0.0400.0651.000
2024-05-04T04:06:47.523936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
투표번호투표시작투표종료참여자댓글수투표구분투표상태정책반영유무
투표번호1.0001.0000.998-0.391-0.4840.3360.2640.143
투표시작1.0001.0000.998-0.390-0.4840.3400.2470.181
투표종료0.9980.9981.000-0.380-0.4580.3410.3010.173
참여자-0.391-0.390-0.3801.0000.5430.0790.0000.112
댓글수-0.484-0.484-0.4580.5431.0000.1280.0000.170
투표구분0.3360.3400.3410.0790.1281.0000.0400.550
투표상태0.2640.2470.3010.0000.0000.0401.0000.065
정책반영유무0.1430.1810.1730.1120.1700.5500.0651.000

Missing values

2024-05-04T04:06:26.480347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T04:06:27.309245image/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.
2024-05-04T04:06:27.752481image/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

투표번호투표제목투표취지투표시작투표종료등록자(닉네임)투표구분투표상태참여자댓글수정책반영유무정책반영게시글투표상세URL
086876어린이집에서 12~24개월(만2세)까지 식단을 따로 제공하는 것에 대해 어떻게 생각하시나요?많은 소아과 전문의가 &quot;지금 아토피더라도, 24개월까지 아기들의 먹거리를 조심하면 좋아질 수 있다.&quot;라고 말합니다. 그만큼 12~24개월의 아기 먹거리가 중요하다는 말이지요. 하지만 어린이집 식단은 이런 부분이 고려되지 않은 것이 현실입니다. 어린이집에서 12~24개월까지 식단을 따로 제공하는 것에 어떻게 생각하시나요?202405031501202406011500wistake우리끼리상용<NA><NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86876
186854광화문광장 육조마당에서 팝업! 펀업! 행사를 진행하는것 아시나요?어린이날 어디 갈까?…고민되시나요? - 5월 4일(토)~5월 6일(월) 광화문광장 육조마당에서, ‘광화문 가족 동행 축제 팝업!펀업!’ 개최합니다. 이번 행사 컨셉은 광화문광장에 미디어 체험?이벤트 팝업 부스로 재미있는 공간을 만들고, 그 공간에서 즐거움을 선사하는 것입니다. 자세한 내용은 광화문광장 누리집을 통해 확인할 수 있습니다.202405030620202406010620이영남우리끼리상용4<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86854
286852「서울형 키즈카페」에 키즈 메뉴용 「AI 브런치 로봇」을 설치하면 어떨까요?푸드테크 로봇에 대한 시민인지도 조사202405011955202405302300이상돈우리끼리상용16<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86852
386851‘Let’s Nodeul(렛츠 노들) 서포터즈<NA>202405011816202405301814잰이우리끼리상용5<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86851
486850서울 문화의 밤<NA>202405011811202405301811잰이우리끼리상용5<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86850
586849서울페스타<NA>202405011811202405301809잰이우리끼리상용6<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86849
686848서울야외도서관<NA>202405011810202405301808잰이우리끼리상용5<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86848
786847서울시립 미술아카이브<NA>202405011804202405301804잰이우리끼리상용5<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86847
886846DDP 봄축제: 디자인 동물원<NA>202405011804202405301803잰이우리끼리상용5<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86846
9868452024년 5월 주요 시민안내사항 및 행사계획<NA>202405011803202405301801잰이우리끼리상용5<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=86845
투표번호투표제목투표취지투표시작투표종료등록자(닉네임)투표구분투표상태참여자댓글수정책반영유무정책반영게시글투표상세URL
8017785청계천에서 가장 즐기고 싶은 문화이벤트는?청계천에서는 일년내내 다양한 문화행사가 열리고 있는데요 시민 여러분께서 가장 즐기고 싶어하는, 또 즐기고 있는 행사를 파악하고자 합니다. 문의사항 : 청계천 대표문의전화 02-2290-6114201402081500201403081200서울특별시정책투표마감115<NA>https://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=2162https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=785
8018784전동차 객실의자 폭을 넓히는 것이 좋은 지?신형전동차 도입시 참고용으로 활용하고자 시민들의 의견을 듣습니다. 문의사항 : 서울메트로 차량처 6110-5710201402081504201404071200서울특별시정책투표마감78017https://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=2161https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=784
8019783지하철 환승역 안내음에는 어떤 것이 좋을까요?향후 지하철 환승역 안내음 교체시 검토ㆍ반영하고자 시민들의 의견을 듣습니다. 문의사항 : 서울메트로 운전처 6110-5763201402081549201404081200서울특별시정책투표마감8607https://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=2https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=783
8020782내가 만일 부모라면 자녀에게 어떤 현장학습 프로그램을 가게 하고 싶나요?서울시에서는 초?중?고 학생을 대상으로 다양하고 수준 높은 현장학습 프로그램을 지원하고 있습니다. 2014년도 현장학습 프로그램 운영을 위해 시민의견을 듣습니다. 문의사항 : 교육협력국 학교지원과 2133-3925201402081537201404071200서울특별시정책투표마감3903https://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=2160https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=782
8021774가장 선호하는 공연은 어떤 장르인가요?세종문화회관에서는 서울시민이 평소 선호하는 공연 장르를 파악하여, 시민여러분의 의견이 반영된 공연을 선보이고자 합니다. [문의사항 : 세종문화회관 홍보기획팀 02-399-1198]201402060000201403061200서울특별시정책투표마감1364https://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=2158https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=774
8022773서울대공원 방문 시 주로 이용하는 시설은?서울시에서는 시민이 더욱 쾌적하고 안전하게 서울대공원을 이용할 수 있도록 서울대공원의 비전을 마련하여 단계적으로 정비하고자 합니다. 시민의 희망을 대공원 비전에 반영하기 위한 서울대공원 시설 선호도 조사입니다. [문의사항 : 푸른도시국 공원녹지정책과 02)2133-2023]201402060000201404051600서울특별시정책투표마감3452https://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=2157https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=773
8023765취준생(취업준비생) 시절, 나는 이게 가장 힘들었다.취업의 압박, 많이 힘드시죠? 미래를 꿈꾸는 취준생들을 응원합니다!201402060919201404031010<NA>우리끼리마감236<NA><NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=765
8024764외국인이 가장 많이 하는 한국어 표현은?외국인대상 한국어 교육 등 기초교육의 필요성에 대한 관심이 필요합니다.201402060916201402090916<NA>우리끼리마감201<NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=764
8025762내 아이를 보내고 싶은 어린이집 선택의 첫 번째 기준은?부모들이 어린이집을 선택하는 여러 기준 중, 우선 순위를 두는 기준을 알아보고 싶습니다.201402060859201406301800<NA>우리끼리마감111750<NA>https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=762
80265552014년 갑오년 새해목표는?2014년 새해 목표 모두 세우셨나요? 공통된 관심사 몇 가지 중 가장 이루고 싶은 새해 목표는 무엇인가요?201401280000201402080000서울특별시정책투표마감381https://mvoting.seoul.go.kr/mvoting/policy/selectPolicy.do?policy_reflct_seq=2155https://mvoting.seoul.go.kr/mvoting/voting/ourselves/selectOurselves.do?vote_no=555