Overview

Dataset statistics

Number of variables12
Number of observations90
Missing cells49
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory100.5 B

Variable types

Numeric3
Text4
Categorical1
DateTime4

Dataset

Description경기도 안양시 안녕안양(홈페이지) 시민참여 광장 게시글 정보입니다.(연번, 시민참여 콘텐츠 제목, 구분, 시민참여 콘텐츠 참여 대상, 담당 부서 및 기관 전화번호, 담당부서 및 기관, 시민참여 콘텐츠 시작일자, 시민참여 콘텐츠 종료일자, 결과발표일자, 조회수, 좋아요 수, 등록일)
Author경기도 안양시
URLhttps://www.data.go.kr/data/15122307/fileData.do

Alerts

연번 is highly overall correlated with 조회수High correlation
조회수 is highly overall correlated with 연번High correlation
구분 has 7 (7.8%) missing valuesMissing
담당 부서 및 기관 전화번호 has 18 (20.0%) missing valuesMissing
담당부서 및 기관 has 9 (10.0%) missing valuesMissing
결과발표일자 has 15 (16.7%) missing valuesMissing
연번 has unique valuesUnique
시민참여 콘텐츠 제목 has unique valuesUnique
좋아요 수 has 43 (47.8%) zerosZeros

Reproduction

Analysis started2023-12-12 20:51:05.038890
Analysis finished2023-12-12 20:51:08.774172
Duration3.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.5
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-13T05:51:08.862348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.45
Q123.25
median45.5
Q367.75
95-th percentile85.55
Maximum90
Range89
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation26.124701
Coefficient of variation (CV)0.57416925
Kurtosis-1.2
Mean45.5
Median Absolute Deviation (MAD)22.5
Skewness0
Sum4095
Variance682.5
MonotonicityStrictly increasing
2023-12-13T05:51:09.034264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
69 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
Other values (80) 80
88.9%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%

시민참여 콘텐츠 제목
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2023-12-13T05:51:09.335071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length25.877778
Min length8

Characters and Unicode

Total characters2329
Distinct characters340
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st row안양시 정책공모전 공유 이벤트
2nd row2019년 안양시 정책공모전
3rd row나눔문화 공모전
4th row2019 안양천 사진공모전
5th row안양시 청년들의 소통공간 '범계큐브' 명칭공모
ValueCountFrequency (%)
안양시 29
 
5.5%
공모전 24
 
4.5%
안내 17
 
3.2%
이벤트 14
 
2.6%
공모 13
 
2.5%
안물안궁 8
 
1.5%
이달의 8
 
1.5%
2021 7
 
1.3%
2022 6
 
1.1%
정책공모전 6
 
1.1%
Other values (311) 397
75.0%
2023-12-13T05:51:09.819163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
439
 
18.8%
안 98
 
4.2%
2 78
 
3.3%
공 61
 
2.6%
양 57
 
2.4%
시 55
 
2.4%
모 54
 
2.3%
0 49
 
2.1%
이 47
 
2.0%
전 40
 
1.7%
Other values (330) 1351
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1569
67.4%
Space Separator 439
 
18.8%
Decimal Number 162
 
7.0%
Other Punctuation 65
 
2.8%
Uppercase Letter 22
 
0.9%
Math Symbol 21
 
0.9%
Close Punctuation 20
 
0.9%
Open Punctuation 20
 
0.9%
Lowercase Letter 5
 
0.2%
Other Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 98
 
6.2%
공 61
 
3.9%
양 57
 
3.6%
시 55
 
3.5%
모 54
 
3.4%
이 47
 
3.0%
전 40
 
2.5%
기 27
 
1.7%
의 25
 
1.6%
트 23
 
1.5%
Other values (284) 1082
69.0%
Uppercase Letter
ValueCountFrequency (%)
E 5
22.7%
N 4
18.2%
S 3
13.6%
T 3
13.6%
V 2
 
9.1%
O 1
 
4.5%
P 1
 
4.5%
C 1
 
4.5%
X 1
 
4.5%
G 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
! 19
29.2%
' 14
21.5%
? 12
18.5%
· 8
12.3%
/ 6
 
9.2%
# 3
 
4.6%
" 2
 
3.1%
․ 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 78
48.1%
0 49
30.2%
1 17
 
10.5%
3 9
 
5.6%
5 4
 
2.5%
9 4
 
2.5%
4 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
r 1
20.0%
t 1
20.0%
s 1
20.0%
h 1
20.0%
Close Punctuation
ValueCountFrequency (%)
] 12
60.0%
」 5
25.0%
) 2
 
10.0%
』 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
[ 12
60.0%
「 5
25.0%
( 2
 
10.0%
『 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
> 9
42.9%
< 9
42.9%
+ 2
 
9.5%
~ 1
 
4.8%
Other Symbol
ValueCountFrequency (%)
★ 2
50.0%
♡ 2
50.0%
Space Separator
ValueCountFrequency (%)
439
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1569
67.4%
Common 733
31.5%
Latin 27
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 98
 
6.2%
공 61
 
3.9%
양 57
 
3.6%
시 55
 
3.5%
모 54
 
3.4%
이 47
 
3.0%
전 40
 
2.5%
기 27
 
1.7%
의 25
 
1.6%
트 23
 
1.5%
Other values (284) 1082
69.0%
Common
ValueCountFrequency (%)
439
59.9%
2 78
 
10.6%
0 49
 
6.7%
! 19
 
2.6%
1 17
 
2.3%
' 14
 
1.9%
? 12
 
1.6%
] 12
 
1.6%
[ 12
 
1.6%
> 9
 
1.2%
Other values (21) 72
 
9.8%
Latin
ValueCountFrequency (%)
E 5
18.5%
N 4
14.8%
S 3
11.1%
T 3
11.1%
V 2
 
7.4%
o 1
 
3.7%
r 1
 
3.7%
t 1
 
3.7%
s 1
 
3.7%
h 1
 
3.7%
Other values (5) 5
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1565
67.2%
ASCII 735
31.6%
None 20
 
0.9%
Misc Symbols 4
 
0.2%
Compat Jamo 4
 
0.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
439
59.7%
2 78
 
10.6%
0 49
 
6.7%
! 19
 
2.6%
1 17
 
2.3%
' 14
 
1.9%
? 12
 
1.6%
] 12
 
1.6%
[ 12
 
1.6%
> 9
 
1.2%
Other values (28) 74
 
10.1%
Hangul
ValueCountFrequency (%)
안 98
 
6.3%
공 61
 
3.9%
양 57
 
3.6%
시 55
 
3.5%
모 54
 
3.5%
이 47
 
3.0%
전 40
 
2.6%
기 27
 
1.7%
의 25
 
1.6%
트 23
 
1.5%
Other values (280) 1078
68.9%
None
ValueCountFrequency (%)
· 8
40.0%
「 5
25.0%
」 5
25.0%
』 1
 
5.0%
『 1
 
5.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
50.0%
♡ 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
25.0%
ㅅ 1
25.0%
ㅊ 1
25.0%
ㅁ 1
25.0%
Punctuation
ValueCountFrequency (%)
․ 1
100.0%

구분
Text

MISSING 

Distinct79
Distinct (%)95.2%
Missing7
Missing (%)7.8%
Memory size852.0 B
2023-12-13T05:51:10.162029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length32
Mean length20.072289
Min length2

Characters and Unicode

Total characters1666
Distinct characters329
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)92.8%

Sample

1st row정책공모전
2nd row정책
3rd row문화
4th row문화
5th row문화
ValueCountFrequency (%)
안양시 11
 
2.7%
공모 7
 
1.7%
및 6
 
1.5%
아이디어 5
 
1.2%
있는 5
 
1.2%
무엇인가요 5
 
1.2%
영상 5
 
1.2%
행복한 4
 
1.0%
노래 4
 
1.0%
등 4
 
1.0%
Other values (300) 351
86.2%
2023-12-13T05:51:10.797202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
 
19.4%
안 33
 
2.0%
시 29
 
1.7%
양 26
 
1.6%
이 25
 
1.5%
/ 24
 
1.4%
사 20
 
1.2%
가 20
 
1.2%
의 19
 
1.1%
기 19
 
1.1%
Other values (319) 1127
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1191
71.5%
Space Separator 324
 
19.4%
Decimal Number 48
 
2.9%
Other Punctuation 45
 
2.7%
Lowercase Letter 31
 
1.9%
Close Punctuation 10
 
0.6%
Open Punctuation 10
 
0.6%
Uppercase Letter 4
 
0.2%
Math Symbol 2
 
0.1%
Format 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 33
 
2.8%
시 29
 
2.4%
양 26
 
2.2%
이 25
 
2.1%
사 20
 
1.7%
가 20
 
1.7%
의 19
 
1.6%
기 19
 
1.6%
한 17
 
1.4%
제 17
 
1.4%
Other values (274) 966
81.1%
Lowercase Letter
ValueCountFrequency (%)
o 3
9.7%
t 3
9.7%
g 3
9.7%
n 3
9.7%
a 3
9.7%
r 2
 
6.5%
v 2
 
6.5%
e 2
 
6.5%
h 2
 
6.5%
y 1
 
3.2%
Other values (7) 7
22.6%
Decimal Number
ValueCountFrequency (%)
0 13
27.1%
2 12
25.0%
1 6
12.5%
9 4
 
8.3%
3 4
 
8.3%
5 4
 
8.3%
8 2
 
4.2%
7 2
 
4.2%
6 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 24
53.3%
? 6
 
13.3%
' 6
 
13.3%
! 4
 
8.9%
· 2
 
4.4%
. 2
 
4.4%
: 1
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 7
70.0%
」 2
 
20.0%
』 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
N 1
25.0%
T 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 7
70.0%
「 3
30.0%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
324
100.0%
Format
ValueCountFrequency (%)
​ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1191
71.5%
Common 440
 
26.4%
Latin 35
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 33
 
2.8%
시 29
 
2.4%
양 26
 
2.2%
이 25
 
2.1%
사 20
 
1.7%
가 20
 
1.7%
의 19
 
1.6%
기 19
 
1.6%
한 17
 
1.4%
제 17
 
1.4%
Other values (274) 966
81.1%
Common
ValueCountFrequency (%)
324
73.6%
/ 24
 
5.5%
0 13
 
3.0%
2 12
 
2.7%
) 7
 
1.6%
( 7
 
1.6%
? 6
 
1.4%
' 6
 
1.4%
1 6
 
1.4%
9 4
 
0.9%
Other values (15) 31
 
7.0%
Latin
ValueCountFrequency (%)
o 3
 
8.6%
t 3
 
8.6%
g 3
 
8.6%
n 3
 
8.6%
a 3
 
8.6%
r 2
 
5.7%
S 2
 
5.7%
v 2
 
5.7%
e 2
 
5.7%
h 2
 
5.7%
Other values (10) 10
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1191
71.5%
ASCII 466
 
28.0%
None 8
 
0.5%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
69.5%
/ 24
 
5.2%
0 13
 
2.8%
2 12
 
2.6%
) 7
 
1.5%
( 7
 
1.5%
? 6
 
1.3%
' 6
 
1.3%
1 6
 
1.3%
9 4
 
0.9%
Other values (30) 57
 
12.2%
Hangul
ValueCountFrequency (%)
안 33
 
2.8%
시 29
 
2.4%
양 26
 
2.2%
이 25
 
2.1%
사 20
 
1.7%
가 20
 
1.7%
의 19
 
1.6%
기 19
 
1.6%
한 17
 
1.4%
제 17
 
1.4%
Other values (274) 966
81.1%
None
ValueCountFrequency (%)
「 3
37.5%
· 2
25.0%
」 2
25.0%
』 1
 
12.5%
Punctuation
ValueCountFrequency (%)
​ 1
100.0%

시민참여 콘텐츠 참여 대상
Categorical

Distinct41
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
누구나
36 
<NA>
5 
안양시민(안양시 소재 직장인/ 학생 포함)
 
3
대한민국 국민 누구나
 
3
만안구 초등학교 학생 및 동일 연령 어린이
 
3
Other values (36)
40 

Length

Max length37
Median length32
Mean length10.977778
Min length2

Unique

Unique32 ?
Unique (%)35.6%

Sample

1st row안양시민(안양시 소재 직장인/ 학생 포함)
2nd row안양시민(안양시 소재 직장인/ 학생 포함)
3rd row안양시민 또는 안양지역 소재의 학생/ 직장인 누구나
4th row안양시민(안양시 소재 직장인/ 학생포함)
5th row연령·성별·지역 제한 없이 누구나 참여 가능

Common Values

ValueCountFrequency (%)
누구나 36
40.0%
<NA> 5
 
5.6%
안양시민(안양시 소재 직장인/ 학생 포함) 3
 
3.3%
대한민국 국민 누구나 3
 
3.3%
만안구 초등학교 학생 및 동일 연령 어린이 3
 
3.3%
안양시에 관심있는 누구나 2
 
2.2%
안양시민 누구나 2
 
2.2%
동안구 관내 초등학생 2
 
2.2%
시민 2
 
2.2%
문학에 관심이 있는 누구나(지역·나이 제한 없음) 1
 
1.1%
Other values (31) 31
34.4%

Length

2023-12-13T05:51:10.960136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
누구나 53
 
20.5%
국민 9
 
3.5%
학생 7
 
2.7%
안양시 7
 
2.7%
안양시민 6
 
2.3%
소재 6
 
2.3%
직장인 6
 
2.3%
안양시민(안양시 5
 
1.9%
na 5
 
1.9%
및 5
 
1.9%
Other values (100) 149
57.8%

담당 부서 및 기관 전화번호
Text

MISSING 

Distinct47
Distinct (%)65.3%
Missing18
Missing (%)20.0%
Memory size852.0 B
2023-12-13T05:51:11.182400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length13
Mean length12.958333
Min length9

Characters and Unicode

Total characters933
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)48.6%

Sample

1st row031-8045-2057
2nd row031-8045-2057
3rd row031-8045-5260
4th row031-8045-5163
5th row031-8045-5785
ValueCountFrequency (%)
031-8045-2357 5
 
6.9%
031-8045-2736 5
 
6.9%
031-8045-2018 4
 
5.6%
031-8045-2045 3
 
4.2%
031-8045-2208 3
 
4.2%
031-8045-2356 3
 
4.2%
031-8045-3333 3
 
4.2%
031-8045-4331 3
 
4.2%
031-8045-2885 2
 
2.8%
031-8045-6218 2
 
2.8%
Other values (37) 39
54.2%
2023-12-13T05:51:11.581738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 167
17.9%
- 144
15.4%
3 122
13.1%
5 100
10.7%
8 94
10.1%
1 90
9.6%
4 83
8.9%
2 60
 
6.4%
6 32
 
3.4%
7 31
 
3.3%
Other values (3) 10
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 787
84.4%
Dash Punctuation 145
 
15.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 167
21.2%
3 122
15.5%
5 100
12.7%
8 94
11.9%
1 90
11.4%
4 83
10.5%
2 60
 
7.6%
6 32
 
4.1%
7 31
 
3.9%
9 8
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 144
99.3%
– 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 933
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 167
17.9%
- 144
15.4%
3 122
13.1%
5 100
10.7%
8 94
10.1%
1 90
9.6%
4 83
8.9%
2 60
 
6.4%
6 32
 
3.4%
7 31
 
3.3%
Other values (3) 10
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 932
99.9%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 167
17.9%
- 144
15.5%
3 122
13.1%
5 100
10.7%
8 94
10.1%
1 90
9.7%
4 83
8.9%
2 60
 
6.4%
6 32
 
3.4%
7 31
 
3.3%
Other values (2) 9
 
1.0%
Punctuation
ValueCountFrequency (%)
– 1
100.0%

담당부서 및 기관
Text

MISSING 

Distinct53
Distinct (%)65.4%
Missing9
Missing (%)10.0%
Memory size852.0 B
2023-12-13T05:51:11.837685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length10.518519
Min length3

Characters and Unicode

Total characters852
Distinct characters112
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)54.3%

Sample

1st row안양시청 정책기획과
2nd row안양시청 정책기획과
3rd row안양시 지역사회보장협의체
4th row안양시 하천관리과
5th row안양시 청년정책관
ValueCountFrequency (%)
안양시 33
20.9%
홍보기획관 24
 
15.2%
안양시청 16
 
10.1%
정책기획과 6
 
3.8%
환경위생과 5
 
3.2%
안양문화예술재단 4
 
2.5%
만안구 3
 
1.9%
고용노동과 3
 
1.9%
청년정책관 2
 
1.3%
동안구청 2
 
1.3%
Other values (52) 60
38.0%
2023-12-13T05:51:12.300124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
9.0%
안 73
 
8.6%
양 61
 
7.2%
시 57
 
6.7%
기 44
 
5.2%
획 42
 
4.9%
관 40
 
4.7%
보 34
 
4.0%
홍 32
 
3.8%
과 28
 
3.3%
Other values (102) 364
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 752
88.3%
Space Separator 77
 
9.0%
Uppercase Letter 9
 
1.1%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%
Other Punctuation 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 73
 
9.7%
양 61
 
8.1%
시 57
 
7.6%
기 44
 
5.9%
획 42
 
5.6%
관 40
 
5.3%
보 34
 
4.5%
홍 32
 
4.3%
과 28
 
3.7%
청 27
 
3.6%
Other values (94) 314
41.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
66.7%
N 3
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 752
88.3%
Common 91
 
10.7%
Latin 9
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 73
 
9.7%
양 61
 
8.1%
시 57
 
7.6%
기 44
 
5.9%
획 42
 
5.6%
관 40
 
5.3%
보 34
 
4.5%
홍 32
 
4.3%
과 28
 
3.7%
청 27
 
3.6%
Other values (94) 314
41.8%
Common
ValueCountFrequency (%)
77
84.6%
) 5
 
5.5%
( 5
 
5.5%
/ 2
 
2.2%
1 1
 
1.1%
2 1
 
1.1%
Latin
ValueCountFrequency (%)
S 6
66.7%
N 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 752
88.3%
ASCII 100
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
77.0%
S 6
 
6.0%
) 5
 
5.0%
( 5
 
5.0%
N 3
 
3.0%
/ 2
 
2.0%
1 1
 
1.0%
2 1
 
1.0%
Hangul
ValueCountFrequency (%)
안 73
 
9.7%
양 61
 
8.1%
시 57
 
7.6%
기 44
 
5.9%
획 42
 
5.6%
관 40
 
5.3%
보 34
 
4.5%
홍 32
 
4.3%
과 28
 
3.7%
청 27
 
3.6%
Other values (94) 314
41.8%

시민참여 콘텐츠 시작일자
Date

Distinct83
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2019-08-22 00:00:00
Maximum2023-07-17 00:00:00
2023-12-13T05:51:12.461445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:12.618495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시민참여 콘텐츠 종료일자
Date

Distinct80
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2019-09-25 00:00:00
Maximum2023-08-23 00:00:00
2023-12-13T05:51:12.773921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:12.921210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

결과발표일자
Date

MISSING 

Distinct64
Distinct (%)85.3%
Missing15
Missing (%)16.7%
Memory size852.0 B
Minimum2019-10-11 00:00:00
Maximum2023-11-30 00:00:00
2023-12-13T05:51:13.069112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:13.255078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct87
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2754.0222
Minimum177
Maximum7475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-13T05:51:13.409045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177
5-th percentile325.5
Q11040.5
median1266
Q34838.75
95-th percentile6510.5
Maximum7475
Range7298
Interquartile range (IQR)3798.25

Descriptive statistics

Standard deviation2263.1124
Coefficient of variation (CV)0.82174804
Kurtosis-1.1087638
Mean2754.0222
Median Absolute Deviation (MAD)688
Skewness0.69615216
Sum247862
Variance5121677.5
MonotonicityNot monotonic
2023-12-13T05:51:13.941497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1159 2
 
2.2%
5545 2
 
2.2%
1037 2
 
2.2%
6435 1
 
1.1%
1331 1
 
1.1%
1074 1
 
1.1%
1316 1
 
1.1%
1097 1
 
1.1%
1099 1
 
1.1%
975 1
 
1.1%
Other values (77) 77
85.6%
ValueCountFrequency (%)
177 1
1.1%
200 1
1.1%
219 1
1.1%
253 1
1.1%
321 1
1.1%
331 1
1.1%
387 1
1.1%
593 1
1.1%
903 1
1.1%
946 1
1.1%
ValueCountFrequency (%)
7475 1
1.1%
7436 1
1.1%
6981 1
1.1%
6951 1
1.1%
6515 1
1.1%
6505 1
1.1%
6483 1
1.1%
6435 1
1.1%
6382 1
1.1%
6351 1
1.1%

좋아요 수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2
Minimum0
Maximum9
Zeros43
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size942.0 B
2023-12-13T05:51:14.092489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.55
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.723597
Coefficient of variation (CV)1.4363308
Kurtosis7.0166486
Mean1.2
Median Absolute Deviation (MAD)1
Skewness2.3488755
Sum108
Variance2.9707865
MonotonicityNot monotonic
2023-12-13T05:51:14.205938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 43
47.8%
1 18
20.0%
2 15
 
16.7%
3 9
 
10.0%
8 1
 
1.1%
7 1
 
1.1%
5 1
 
1.1%
9 1
 
1.1%
4 1
 
1.1%
ValueCountFrequency (%)
0 43
47.8%
1 18
20.0%
2 15
 
16.7%
3 9
 
10.0%
4 1
 
1.1%
5 1
 
1.1%
7 1
 
1.1%
8 1
 
1.1%
9 1
 
1.1%
ValueCountFrequency (%)
9 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%
5 1
 
1.1%
4 1
 
1.1%
3 9
 
10.0%
2 15
 
16.7%
1 18
20.0%
0 43
47.8%

등록일
Date

Distinct79
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2019-09-03 00:00:00
Maximum2023-07-17 00:00:00
2023-12-13T05:51:14.354488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:14.515608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T05:51:07.799301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:06.984802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:07.311849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:07.950689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:07.089449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:07.458994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:08.112829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:07.197460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:51:07.636523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:51:14.621623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시민참여 콘텐츠 제목구분시민참여 콘텐츠 참여 대상담당 부서 및 기관 전화번호담당부서 및 기관시민참여 콘텐츠 시작일자시민참여 콘텐츠 종료일자결과발표일자조회수좋아요 수등록일
연번1.0001.0001.0000.5390.7200.6731.0000.9570.9690.9250.5070.997
시민참여 콘텐츠 제목1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
구분1.0001.0001.0000.0000.0000.0000.9790.9630.9670.8640.0000.987
시민참여 콘텐츠 참여 대상0.5391.0000.0001.0000.9860.9860.9870.9570.8250.8130.6850.988
담당 부서 및 기관 전화번호0.7201.0000.0000.9861.0000.9880.9910.9870.9500.8920.3480.940
담당부서 및 기관0.6731.0000.0000.9860.9881.0000.9650.0000.9320.6110.6780.000
시민참여 콘텐츠 시작일자1.0001.0000.9790.9870.9910.9651.0000.9900.9910.9380.0000.992
시민참여 콘텐츠 종료일자0.9571.0000.9630.9570.9870.0000.9901.0000.9750.9910.0000.940
결과발표일자0.9691.0000.9670.8250.9500.9320.9910.9751.0000.8560.9650.978
조회수0.9251.0000.8640.8130.8920.6110.9380.9910.8561.0000.2960.868
좋아요 수0.5071.0000.0000.6850.3480.6780.0000.0000.9650.2961.0000.000
등록일0.9971.0000.9870.9880.9400.0000.9920.9400.9780.8680.0001.000
2023-12-13T05:51:14.768668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번조회수좋아요 수시민참여 콘텐츠 참여 대상
연번1.000-0.8920.2980.135
조회수-0.8921.000-0.2900.314
좋아요 수0.298-0.2901.0000.241
시민참여 콘텐츠 참여 대상0.1350.3140.2411.000

Missing values

2023-12-13T05:51:08.341551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:51:08.558597image/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.
2023-12-13T05:51:08.684936image/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

연번시민참여 콘텐츠 제목구분시민참여 콘텐츠 참여 대상담당 부서 및 기관 전화번호담당부서 및 기관시민참여 콘텐츠 시작일자시민참여 콘텐츠 종료일자결과발표일자조회수좋아요 수등록일
01안양시 정책공모전 공유 이벤트정책공모전안양시민(안양시 소재 직장인/ 학생 포함)031-8045-2057안양시청 정책기획과2019-08-222019-09-252019-10-11643582019-09-03
122019년 안양시 정책공모전정책안양시민(안양시 소재 직장인/ 학생 포함)031-8045-2057안양시청 정책기획과2019-08-222019-09-25<NA>124872019-09-10
23나눔문화 공모전문화안양시민 또는 안양지역 소재의 학생/ 직장인 누구나031-8045-5260안양시 지역사회보장협의체2019-09-232019-10-112019-10-23148852019-09-27
342019 안양천 사진공모전문화안양시민(안양시 소재 직장인/ 학생포함)031-8045-5163안양시 하천관리과2019-10-012019-10-312019-11-15743692019-09-27
45안양시 청년들의 소통공간 '범계큐브' 명칭공모문화연령·성별·지역 제한 없이 누구나 참여 가능031-8045-5785안양시 청년정책관2019-09-272019-10-102019-10-31145722019-10-07
56안양시 '걷고 싶은 길' 조성을 위한 시민 설문문화안양시 거주민/ 안양시 내 직장을 둔 상주민031-8045-5628안양시 도시계획과2019-10-252019-11-03<NA>695112019-10-28
672020 안양시 양성평등기금 지원사업 공모정책관내에 주소를 둔 비영리법인 또는 비영리 민간단체 등031-8045-2483안양시 가족여성과2019-11-012019-11-29<NA>698112019-10-31
78안양시 통합홈페이지 개편 OPEN EVENT안양시 개편 홈페이지시민<NA><NA>2019-11-042019-12-082019-12-20627402019-11-07
89안양시 유튜브 구독 이벤트유튜브 구독 참여시민<NA><NA>2019-11-012019-11-152019-11-20631102019-11-07
9102020년 안양시 영상공모전 '두근두근 안양♡'동영상대한민국 누구나031-8045-5501안양시 홍보기획관2020-01-012020-12-31<NA>650522020-02-17
연번시민참여 콘텐츠 제목구분시민참여 콘텐츠 참여 대상담당 부서 및 기관 전화번호담당부서 및 기관시민참여 콘텐츠 시작일자시민참여 콘텐츠 종료일자결과발표일자조회수좋아요 수등록일
8081안양예술공원 시민아트 공모전 안내사진/ 일러스트/ 카툰/ 웹툰 등 기타 창작이미지만18세 이상 39세 이하 (누구나)031-468-6565안양시/한국예총 안양지회2023-04-242023-06-302023-07-31117532023-04-28
81822023 환경보전 그림·글짓기 공모전 안내환경보전 그림·글짓기 공모관내 초등학생031-8045-4331동안구 환경위생과2023-05-012023-05-312023-07-31100722023-05-03
8283기부의 날 10주년 기념! 나눔문화 공모전 안내기부의 날 10주년을 기념할 수 있는 내용의 슬로건이나 영상 공모누구나031-8045-2885안양시나눔운동본부2023-05-102023-06-092023-06-3059312023-05-25
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