Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells574
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Text3
Categorical1
DateTime1

Dataset

Description광주시광역시 바로응답 민원 홈페이지에 2015년부터 등록된 공개민원 사례 현황 데이터로 등록일시, 제목, 조회수 항목을 공개합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15062117/fileData.do

Alerts

처리상태 is highly imbalanced (59.2%)Imbalance
처리부서 has 574 (5.7%) missing valuesMissing
순번 has unique valuesUnique
조회수 has 7660 (76.6%) zerosZeros

Reproduction

Analysis started2023-12-12 15:24:46.500722
Analysis finished2023-12-12 15:24:48.157016
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35270.295
Minimum10344
Maximum60003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:24:48.228515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10344
5-th percentile12852.7
Q122643.25
median35183.5
Q347801.5
95-th percentile57652.35
Maximum60003
Range49659
Interquartile range (IQR)25158.25

Descriptive statistics

Standard deviation14426.53
Coefficient of variation (CV)0.40902777
Kurtosis-1.2113795
Mean35270.295
Median Absolute Deviation (MAD)12571
Skewness-0.0010336886
Sum3.5270295 × 108
Variance2.0812477 × 108
MonotonicityNot monotonic
2023-12-13T00:24:48.374054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22793 1
 
< 0.1%
58405 1
 
< 0.1%
57199 1
 
< 0.1%
12644 1
 
< 0.1%
44474 1
 
< 0.1%
54234 1
 
< 0.1%
25039 1
 
< 0.1%
55820 1
 
< 0.1%
49986 1
 
< 0.1%
25915 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
10344 1
< 0.1%
10345 1
< 0.1%
10347 1
< 0.1%
10348 1
< 0.1%
10356 1
< 0.1%
10358 1
< 0.1%
10359 1
< 0.1%
10360 1
< 0.1%
10368 1
< 0.1%
10383 1
< 0.1%
ValueCountFrequency (%)
60003 1
< 0.1%
60000 1
< 0.1%
59995 1
< 0.1%
59993 1
< 0.1%
59988 1
< 0.1%
59983 1
< 0.1%
59982 1
< 0.1%
59981 1
< 0.1%
59968 1
< 0.1%
59947 1
< 0.1%

제목
Text

Distinct8892
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:24:48.697866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length75
Mean length18.9759
Min length1

Characters and Unicode

Total characters189759
Distinct characters1095
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8560 ?
Unique (%)85.6%

Sample

1st row각화동 순환도로
2nd row하수관거공사
3rd row승강장통과
4th row도로변 대형 화물차 무단 주차 단속 요청
5th row택시 부재 위반 신고
ValueCountFrequency (%)
택시 690
 
1.6%
신고 617
 
1.4%
요청 590
 
1.4%
버스 577
 
1.3%
및 453
 
1.1%
관련 416
 
1.0%
불친절 397
 
0.9%
직소민원 372
 
0.9%
민원 343
 
0.8%
도로 247
 
0.6%
Other values (15972) 38164
89.0%
2023-12-13T00:24:49.192103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33603
 
17.7%
시 3280
 
1.7%
요 2658
 
1.4%
주 2450
 
1.3%
스 2331
 
1.2%
원 2195
 
1.2%
로 2106
 
1.1%
고 2098
 
1.1%
사 1957
 
1.0%
다 1953
 
1.0%
Other values (1085) 135128
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142182
74.9%
Space Separator 33614
 
17.7%
Decimal Number 5692
 
3.0%
Other Punctuation 3172
 
1.7%
Close Punctuation 1868
 
1.0%
Open Punctuation 1864
 
1.0%
Lowercase Letter 580
 
0.3%
Uppercase Letter 449
 
0.2%
Dash Punctuation 199
 
0.1%
Math Symbol 91
 
< 0.1%
Other values (7) 48
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3280
 
2.3%
요 2658
 
1.9%
주 2450
 
1.7%
스 2331
 
1.6%
원 2195
 
1.5%
로 2106
 
1.5%
고 2098
 
1.5%
사 1957
 
1.4%
다 1953
 
1.4%
지 1886
 
1.3%
Other values (979) 119268
83.9%
Uppercase Letter
ValueCountFrequency (%)
C 111
24.7%
T 53
11.8%
P 32
 
7.1%
I 32
 
7.1%
S 28
 
6.2%
V 28
 
6.2%
B 19
 
4.2%
A 16
 
3.6%
U 16
 
3.6%
L 15
 
3.3%
Other values (15) 99
22.0%
Lowercase Letter
ValueCountFrequency (%)
t 164
28.3%
s 93
16.0%
e 70
12.1%
c 60
 
10.3%
p 33
 
5.7%
o 27
 
4.7%
v 20
 
3.4%
a 15
 
2.6%
u 15
 
2.6%
r 11
 
1.9%
Other values (14) 72
12.4%
Other Punctuation
ValueCountFrequency (%)
. 1763
55.6%
! 580
 
18.3%
, 343
 
10.8%
? 277
 
8.7%
/ 101
 
3.2%
; 24
 
0.8%
& 20
 
0.6%
" 18
 
0.6%
: 16
 
0.5%
* 11
 
0.3%
Other values (4) 19
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 1378
24.2%
2 858
15.1%
9 629
11.1%
0 608
10.7%
3 486
 
8.5%
5 409
 
7.2%
7 372
 
6.5%
8 351
 
6.2%
6 310
 
5.4%
4 289
 
5.1%
Other values (2) 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1040
55.7%
] 823
44.1%
］ 2
 
0.1%
} 2
 
0.1%
」 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 82
90.1%
= 3
 
3.3%
+ 3
 
3.3%
> 2
 
2.2%
→ 1
 
1.1%
Other Symbol
ValueCountFrequency (%)
★ 6
46.2%
◈ 2
 
15.4%
□ 2
 
15.4%
■ 2
 
15.4%
◆ 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 1039
55.7%
[ 822
44.1%
［ 2
 
0.1%
「 1
 
0.1%
Space Separator
ValueCountFrequency (%)
33603
> 99.9%
　 11
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 6
60.0%
` 4
40.0%
Initial Punctuation
ValueCountFrequency (%)
“ 6
75.0%
‘ 2
 
25.0%
Final Punctuation
ValueCountFrequency (%)
” 5
71.4%
’ 2
 
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142175
74.9%
Common 46548
 
24.5%
Latin 1029
 
0.5%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3280
 
2.3%
요 2658
 
1.9%
주 2450
 
1.7%
스 2331
 
1.6%
원 2195
 
1.5%
로 2106
 
1.5%
고 2098
 
1.5%
사 1957
 
1.4%
다 1953
 
1.4%
지 1886
 
1.3%
Other values (977) 119261
83.9%
Common
ValueCountFrequency (%)
33603
72.2%
. 1763
 
3.8%
1 1378
 
3.0%
) 1040
 
2.2%
( 1039
 
2.2%
2 858
 
1.8%
] 823
 
1.8%
[ 822
 
1.8%
9 629
 
1.4%
0 608
 
1.3%
Other values (47) 3985
 
8.6%
Latin
ValueCountFrequency (%)
t 164
15.9%
C 111
 
10.8%
s 93
 
9.0%
e 70
 
6.8%
c 60
 
5.8%
T 53
 
5.2%
p 33
 
3.2%
P 32
 
3.1%
I 32
 
3.1%
S 28
 
2.7%
Other values (39) 353
34.3%
Han
ValueCountFrequency (%)
內 6
85.7%
件 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142123
74.9%
ASCII 47518
 
25.0%
Compat Jamo 52
 
< 0.1%
None 30
 
< 0.1%
Punctuation 15
 
< 0.1%
CJK 7
 
< 0.1%
Geometric Shapes 7
 
< 0.1%
Misc Symbols 6
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33603
70.7%
. 1763
 
3.7%
1 1378
 
2.9%
) 1040
 
2.2%
( 1039
 
2.2%
2 858
 
1.8%
] 823
 
1.7%
[ 822
 
1.7%
9 629
 
1.3%
0 608
 
1.3%
Other values (78) 4955
 
10.4%
Hangul
ValueCountFrequency (%)
시 3280
 
2.3%
요 2658
 
1.9%
주 2450
 
1.7%
스 2331
 
1.6%
원 2195
 
1.5%
로 2106
 
1.5%
고 2098
 
1.5%
사 1957
 
1.4%
다 1953
 
1.4%
지 1886
 
1.3%
Other values (968) 119209
83.9%
Compat Jamo
ValueCountFrequency (%)
ㅠ 21
40.4%
ㅡ 9
17.3%
ㅜ 7
 
13.5%
ㅅ 4
 
7.7%
ㅋ 4
 
7.7%
ㄴ 2
 
3.8%
ㄷ 2
 
3.8%
ㄹ 2
 
3.8%
ㅎ 1
 
1.9%
None
ValueCountFrequency (%)
　 11
36.7%
· 11
36.7%
［ 2
 
6.7%
］ 2
 
6.7%
「 1
 
3.3%
」 1
 
3.3%
１ 1
 
3.3%
９ 1
 
3.3%
CJK
ValueCountFrequency (%)
內 6
85.7%
件 1
 
14.3%
Misc Symbols
ValueCountFrequency (%)
★ 6
100.0%
Punctuation
ValueCountFrequency (%)
“ 6
40.0%
” 5
33.3%
‘ 2
 
13.3%
’ 2
 
13.3%
Geometric Shapes
ValueCountFrequency (%)
◈ 2
28.6%
□ 2
28.6%
■ 2
28.6%
◆ 1
14.3%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

작성자
Text

Distinct151
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:24:49.422466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30000
Distinct characters151
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)0.5%

Sample

1st row이**
2nd row고**
3rd row곽**
4th row류**
5th row이**
ValueCountFrequency (%)
김 2086
20.9%
이 1142
 
11.4%
박 874
 
8.7%
정 540
 
5.4%
최 411
 
4.1%
조 293
 
2.9%
임 239
 
2.4%
강 237
 
2.4%
장 236
 
2.4%
유 224
 
2.2%
Other values (139) 3718
37.2%
2023-12-13T00:24:49.760885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 20002
66.7%
김 2086
 
7.0%
이 1142
 
3.8%
박 874
 
2.9%
정 540
 
1.8%
최 411
 
1.4%
조 293
 
1.0%
임 239
 
0.8%
강 237
 
0.8%
장 236
 
0.8%
Other values (141) 3940
 
13.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 20004
66.7%
Other Letter 9980
33.3%
Decimal Number 6
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2086
20.9%
이 1142
 
11.4%
박 874
 
8.8%
정 540
 
5.4%
최 411
 
4.1%
조 293
 
2.9%
임 239
 
2.4%
강 237
 
2.4%
장 236
 
2.4%
유 224
 
2.2%
Other values (129) 3698
37.1%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
6 1
 
16.7%
0 1
 
16.7%
2 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
g 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 20002
> 99.9%
. 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
○ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20015
66.7%
Hangul 9980
33.3%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2086
20.9%
이 1142
 
11.4%
박 874
 
8.8%
정 540
 
5.4%
최 411
 
4.1%
조 293
 
2.9%
임 239
 
2.4%
강 237
 
2.4%
장 236
 
2.4%
유 224
 
2.2%
Other values (129) 3698
37.1%
Common
ValueCountFrequency (%)
* 20002
99.9%
- 4
 
< 0.1%
1 3
 
< 0.1%
. 2
 
< 0.1%
○ 1
 
< 0.1%
6 1
 
< 0.1%
0 1
 
< 0.1%
2 1
 
< 0.1%
Latin
ValueCountFrequency (%)
c 2
40.0%
P 1
20.0%
g 1
20.0%
o 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20019
66.7%
Hangul 9977
33.3%
Compat Jamo 3
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 20002
99.9%
- 4
 
< 0.1%
1 3
 
< 0.1%
. 2
 
< 0.1%
c 2
 
< 0.1%
P 1
 
< 0.1%
g 1
 
< 0.1%
6 1
 
< 0.1%
0 1
 
< 0.1%
o 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
김 2086
20.9%
이 1142
 
11.4%
박 874
 
8.8%
정 540
 
5.4%
최 411
 
4.1%
조 293
 
2.9%
임 239
 
2.4%
강 237
 
2.4%
장 236
 
2.4%
유 224
 
2.2%
Other values (127) 3695
37.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 2
66.7%
ㅇ 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

처리부서
Text

MISSING 

Distinct169
Distinct (%)1.8%
Missing574
Missing (%)5.7%
Memory size156.2 KiB
2023-12-13T00:24:50.017155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length5
Mean length4.2988542
Min length2

Characters and Unicode

Total characters40521
Distinct characters175
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)0.4%

Sample

1st row북구
2nd row생태수질과
3rd row대중교통과
4th row광산구
5th row대중교통과
ValueCountFrequency (%)
대중교통과 2953
31.3%
서구 862
 
9.1%
북구 779
 
8.3%
광산구 725
 
7.7%
남구 303
 
3.2%
자치행정과 291
 
3.1%
동구 283
 
3.0%
시민소통기획관 277
 
2.9%
도로관리과 248
 
2.6%
교통정책과 157
 
1.7%
Other values (159) 2548
27.0%
2023-12-13T00:24:50.482135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5527
 
13.6%
통 3538
 
8.7%
교 3117
 
7.7%
대 3050
 
7.5%
구 3003
 
7.4%
중 2953
 
7.3%
관 1108
 
2.7%
정 1093
 
2.7%
서 875
 
2.2%
산 831
 
2.1%
Other values (165) 15426
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40281
99.4%
Decimal Number 213
 
0.5%
Other Punctuation 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5527
 
13.7%
통 3538
 
8.8%
교 3117
 
7.7%
대 3050
 
7.6%
구 3003
 
7.5%
중 2953
 
7.3%
관 1108
 
2.8%
정 1093
 
2.7%
서 875
 
2.2%
산 831
 
2.1%
Other values (158) 15186
37.7%
Decimal Number
ValueCountFrequency (%)
1 98
46.0%
2 44
20.7%
8 27
 
12.7%
5 27
 
12.7%
9 14
 
6.6%
3 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40281
99.4%
Common 240
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5527
 
13.7%
통 3538
 
8.8%
교 3117
 
7.7%
대 3050
 
7.6%
구 3003
 
7.5%
중 2953
 
7.3%
관 1108
 
2.8%
정 1093
 
2.7%
서 875
 
2.2%
산 831
 
2.1%
Other values (158) 15186
37.7%
Common
ValueCountFrequency (%)
1 98
40.8%
2 44
18.3%
8 27
 
11.2%
. 27
 
11.2%
5 27
 
11.2%
9 14
 
5.8%
3 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40281
99.4%
ASCII 240
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5527
 
13.7%
통 3538
 
8.8%
교 3117
 
7.7%
대 3050
 
7.6%
구 3003
 
7.5%
중 2953
 
7.3%
관 1108
 
2.8%
정 1093
 
2.7%
서 875
 
2.2%
산 831
 
2.1%
Other values (158) 15186
37.7%
ASCII
ValueCountFrequency (%)
1 98
40.8%
2 44
18.3%
8 27
 
11.2%
. 27
 
11.2%
5 27
 
11.2%
9 14
 
5.8%
3 3
 
1.2%

처리상태
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
답변완료
7040 
타기관이송
1937 
취하
 
359
<NA>
 
175
다부처병렬
 
144
Other values (6)
 
345

Length

Max length9
Median length4
Mean length4.086
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row답변완료
2nd row답변완료
3rd row타기관이송
4th row답변완료
5th row타기관이송

Common Values

ValueCountFrequency (%)
답변완료 7040
70.4%
타기관이송 1937
 
19.4%
취하 359
 
3.6%
<NA> 175
 
1.8%
다부처병렬 144
 
1.4%
대기 132
 
1.3%
이첩 123
 
1.2%
재분배 55
 
0.5%
미접수처리 23
 
0.2%
분배(담당자지정) 9
 
0.1%

Length

2023-12-13T00:24:50.640779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
답변완료 7040
70.4%
타기관이송 1937
 
19.4%
취하 359
 
3.6%
na 175
 
1.8%
다부처병렬 144
 
1.4%
대기 132
 
1.3%
이첩 123
 
1.2%
재분배 55
 
0.5%
미접수처리 23
 
0.2%
분배(담당자지정 9
 
0.1%

작성일시
Date

Distinct9857
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-05-01 09:45:00
Maximum2021-08-22 11:19:00
2023-12-13T00:24:50.785520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:50.994622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조회수
Real number (ℝ)

ZEROS 

Distinct146
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.514
Minimum0
Maximum1182
Zeros7660
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:24:51.191824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile41
Maximum1182
Range1182
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.683982
Coefficient of variation (CV)3.482343
Kurtosis808.97153
Mean6.514
Median Absolute Deviation (MAD)0
Skewness19.026121
Sum65140
Variance514.56306
MonotonicityNot monotonic
2023-12-13T00:24:51.354054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7660
76.6%
1 150
 
1.5%
2 91
 
0.9%
9 84
 
0.8%
7 78
 
0.8%
8 71
 
0.7%
11 70
 
0.7%
4 68
 
0.7%
5 63
 
0.6%
3 61
 
0.6%
Other values (136) 1604
 
16.0%
ValueCountFrequency (%)
0 7660
76.6%
1 150
 
1.5%
2 91
 
0.9%
3 61
 
0.6%
4 68
 
0.7%
5 63
 
0.6%
6 53
 
0.5%
7 78
 
0.8%
8 71
 
0.7%
9 84
 
0.8%
ValueCountFrequency (%)
1182 1
< 0.1%
670 1
< 0.1%
282 1
< 0.1%
269 1
< 0.1%
238 1
< 0.1%
237 1
< 0.1%
231 1
< 0.1%
213 1
< 0.1%
200 1
< 0.1%
196 1
< 0.1%

Interactions

2023-12-13T00:24:47.774085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:47.580838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:47.864272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:24:47.673181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:24:51.466585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번처리상태조회수
순번1.0000.3600.070
처리상태0.3601.0000.075
조회수0.0700.0751.000
2023-12-13T00:24:51.588066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번조회수처리상태
순번1.0000.1100.117
조회수0.1101.0000.031
처리상태0.1170.0311.000

Missing values

2023-12-13T00:24:47.995180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:24:48.103389image/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

순번제목작성자처리부서처리상태작성일시조회수
3655822793각화동 순환도로이**북구답변완료2017-03-19 7:550
1755642365하수관거공사고**생태수질과답변완료2019-09-24 10:410
2490734697승강장통과곽**대중교통과타기관이송2018-10-04 6:470
1456745351도로변 대형 화물차 무단 주차 단속 요청류**광산구답변완료2020-02-24 1:080
2960430010택시 부재 위반 신고이**대중교통과타기관이송2018-03-17 3:140
3916020170버스전용차선 위반 신고강**교통정책과답변완료2016-10-31 9:490
3884920478발달장애인 지원체계 마련하라이**장애인복지과답변완료2016-11-21 3:4719
3356526020게임장 관련박**서구답변완료2017-08-26 1:590
1262447381관리규약준칙 해석에 관한건정**건축주택과답변완료2020-05-07 2:240
2596333638신창 대광A 앞 유탑A 신축공사 소음김**광산구답변완료2018-08-14 1:480
순번제목작성자처리부서처리상태작성일시조회수
3911720213순환02번 버스를 퇴근시간만 1대라도 늘려줬으면 좋겠습니다조**대중교통과답변완료2016-11-03 8:240
2598233628도로변 잡초제거 요망문**광산구답변완료2018-08-13 10:200
1203047976타당한설명을부탁드립니다오**일자리정책관답변완료2020-05-27 1:080
3110928483가로등 점등 불량국**광산구답변완료2018-01-06 10:070
1127448724운암동 아람 식자재마트 자동차 출구 변경 문제조**북구답변완료2020-06-21 4:270
4153710622하수도맨홀 뚜껑 파손으로 인한 차량파손비 보상 및 뚜껑 보수정**서구답변완료2016-06-20 6:350
45503145891709 택시 불친절(양효승)양**대중교통과답변완료2015-10-19 11:040
2780231799이 억울함을 어디에 하소연해야할까요강**광산구답변완료2018-06-07 3:060
856951449시외버스 방역 소득철저정**혁신소통기획관타기관이송2020-09-05 7:220
1198448014배차시간 제대로 지켜주세요 ㅠㅠㅠㅠ심**대중교통과타기관이송2020-05-28 3:550