Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory576.2 KiB
Average record size in memory59.0 B

Variable types

Numeric3
Categorical1
Text2

Dataset

Description15개시군 자유게시판(제목)(기관, 시도명, 제목, 등록일) 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=144

Alerts

번호 is highly overall correlated with 시도명High correlation
기관코드 is highly overall correlated with 시도명High correlation
시도명 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
조회수 is highly skewed (γ1 = 22.6134139)Skewed
번호 has unique valuesUnique
조회수 has 1258 (12.6%) zerosZeros

Reproduction

Analysis started2024-01-09 21:50:55.689629
Analysis finished2024-01-09 21:50:57.726999
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean783134.54
Minimum31
Maximum1256783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:50:57.790573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile4188.8
Q1446015.25
median467343
Q31234758
95-th percentile1252292.2
Maximum1256783
Range1256752
Interquartile range (IQR)788742.75

Descriptive statistics

Standard deviation428765.89
Coefficient of variation (CV)0.54749966
Kurtosis-1.5941641
Mean783134.54
Median Absolute Deviation (MAD)463832.5
Skewness-0.049061741
Sum7.8313454 × 109
Variance1.8384019 × 1011
MonotonicityNot monotonic
2024-01-10T06:50:57.914212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
435166 1
 
< 0.1%
509 1
 
< 0.1%
1213478 1
 
< 0.1%
453214 1
 
< 0.1%
432733 1
 
< 0.1%
465212 1
 
< 0.1%
2707 1
 
< 0.1%
1241975 1
 
< 0.1%
465105 1
 
< 0.1%
1243459 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
31 1
< 0.1%
36 1
< 0.1%
37 1
< 0.1%
43 1
< 0.1%
49 1
< 0.1%
51 1
< 0.1%
52 1
< 0.1%
58 1
< 0.1%
78 1
< 0.1%
108 1
< 0.1%
ValueCountFrequency (%)
1256783 1
< 0.1%
1256770 1
< 0.1%
1256760 1
< 0.1%
1256759 1
< 0.1%
1256757 1
< 0.1%
1256750 1
< 0.1%
1256748 1
< 0.1%
1256738 1
< 0.1%
1256726 1
< 0.1%
1256716 1
< 0.1%

기관코드
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4703943
Minimum4490000
Maximum5680000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:50:58.002888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4490000
5-th percentile4500000
Q14540000
median4570000
Q34610000
95-th percentile5680000
Maximum5680000
Range1190000
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation363886.2
Coefficient of variation (CV)0.077357697
Kurtosis3.3006617
Mean4703943
Median Absolute Deviation (MAD)30000
Skewness2.2865138
Sum4.703943 × 1010
Variance1.3241316 × 1011
MonotonicityNot monotonic
2024-01-10T06:50:58.085221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4610000 2500
25.0%
4540000 1925
19.2%
4550000 1444
14.4%
5680000 1212
12.1%
4570000 1040
10.4%
4590000 528
 
5.3%
4580000 418
 
4.2%
4500000 401
 
4.0%
4600000 333
 
3.3%
4490000 199
 
2.0%
ValueCountFrequency (%)
4490000 199
 
2.0%
4500000 401
 
4.0%
4540000 1925
19.2%
4550000 1444
14.4%
4570000 1040
10.4%
4580000 418
 
4.2%
4590000 528
 
5.3%
4600000 333
 
3.3%
4610000 2500
25.0%
5680000 1212
12.1%
ValueCountFrequency (%)
5680000 1212
12.1%
4610000 2500
25.0%
4600000 333
 
3.3%
4590000 528
 
5.3%
4580000 418
 
4.2%
4570000 1040
10.4%
4550000 1444
14.4%
4540000 1925
19.2%
4500000 401
 
4.0%
4490000 199
 
2.0%

시도명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
예산군
2500 
논산시
1925 
금산군
1444 
당진시
1212 
부여군
1040 
Other values (5)
1879 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부여군
2nd row예산군
3rd row공주시
4th row홍성군
5th row예산군

Common Values

ValueCountFrequency (%)
예산군 2500
25.0%
논산시 1925
19.2%
금산군 1444
14.4%
당진시 1212
12.1%
부여군 1040
10.4%
청양군 528
 
5.3%
서천군 418
 
4.2%
공주시 401
 
4.0%
홍성군 333
 
3.3%
천안시 199
 
2.0%

Length

2024-01-10T06:50:58.173755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:50:58.265241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예산군 2500
25.0%
논산시 1925
19.2%
금산군 1444
14.4%
당진시 1212
12.1%
부여군 1040
10.4%
청양군 528
 
5.3%
서천군 418
 
4.2%
공주시 401
 
4.0%
홍성군 333
 
3.3%
천안시 199
 
2.0%

제목
Text

Distinct8146
Distinct (%)81.5%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-01-10T06:50:58.555705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length432
Median length79
Mean length22.639964
Min length1

Characters and Unicode

Total characters226377
Distinct characters1413
Distinct categories18 ?
Distinct scripts4 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7335 ?
Unique (%)73.4%

Sample

1st row지평선축제에서 가을날의 풍성한 추억을 담아보세요
2nd row◆양돈장악취-레전드(COVID19-OUT)
3rd row2021년도 주택용태양광 정부보조 (주택지원사업) 신청받습니다
4th row사회복지실습 보육실습 평생교육실습. 아직 못하셨나요?
5th row사회복지직일자리 34만 창출계획안 발표 40% 장학혜택과 함께 전문직 취업하세요
ValueCountFrequency (%)
867
 
1.9%
안내 604
 
1.3%
모집 582
 
1.3%
자격증 413
 
0.9%
사회복지사 347
 
0.8%
re 318
 
0.7%
보육교사 268
 
0.6%
및 260
 
0.6%
아르바이트 227
 
0.5%
수강생 193
 
0.4%
Other values (17785) 40726
90.9%
2024-01-10T06:50:58.966986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35627
 
15.7%
사 4894
 
2.2%
. 4145
 
1.8%
지 3294
 
1.5%
자 2467
 
1.1%
2 2337
 
1.0%
회 2257
 
1.0%
0 2235
 
1.0%
이 2164
 
1.0%
다 2138
 
0.9%
Other values (1403) 164819
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158696
70.1%
Space Separator 35632
 
15.7%
Decimal Number 9382
 
4.1%
Other Punctuation 9280
 
4.1%
Other Symbol 3053
 
1.3%
Close Punctuation 2591
 
1.1%
Open Punctuation 2567
 
1.1%
Lowercase Letter 1832
 
0.8%
Uppercase Letter 1412
 
0.6%
Dash Punctuation 754
 
0.3%
Other values (8) 1178
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 4894
 
3.1%
지 3294
 
2.1%
자 2467
 
1.6%
회 2257
 
1.4%
이 2164
 
1.4%
다 2138
 
1.3%
기 1939
 
1.2%
대 1816
 
1.1%
니 1761
 
1.1%
제 1738
 
1.1%
Other values (1216) 134228
84.6%
Other Symbol
ValueCountFrequency (%)
◆ 619
20.3%
★ 600
19.7%
■ 516
16.9%
● 259
8.5%
◈ 222
 
7.3%
▶ 136
 
4.5%
◀ 84
 
2.8%
▣ 83
 
2.7%
▩ 66
 
2.2%
☆ 56
 
1.8%
Other values (33) 412
13.5%
Uppercase Letter
ValueCountFrequency (%)
R 169
 
12.0%
E 130
 
9.2%
O 95
 
6.7%
C 92
 
6.5%
T 84
 
5.9%
S 82
 
5.8%
A 80
 
5.7%
M 73
 
5.2%
I 63
 
4.5%
P 58
 
4.1%
Other values (23) 486
34.4%
Lowercase Letter
ValueCountFrequency (%)
e 387
21.1%
r 280
15.3%
t 178
9.7%
o 145
 
7.9%
l 91
 
5.0%
p 89
 
4.9%
c 78
 
4.3%
a 69
 
3.8%
i 58
 
3.2%
s 56
 
3.1%
Other values (19) 401
21.9%
Other Punctuation
ValueCountFrequency (%)
. 4145
44.7%
! 1948
21.0%
/ 917
 
9.9%
? 621
 
6.7%
& 311
 
3.4%
" 271
 
2.9%
* 259
 
2.8%
: 196
 
2.1%
; 104
 
1.1%
# 104
 
1.1%
Other values (13) 404
 
4.4%
Math Symbol
ValueCountFrequency (%)
~ 400
65.3%
= 56
 
9.1%
> 55
 
9.0%
< 55
 
9.0%
+ 25
 
4.1%
▷ 5
 
0.8%
⊙ 4
 
0.7%
↑ 2
 
0.3%
◁ 2
 
0.3%
| 2
 
0.3%
Other values (7) 7
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 2337
24.9%
0 2235
23.8%
1 1935
20.6%
5 509
 
5.4%
9 490
 
5.2%
3 470
 
5.0%
4 423
 
4.5%
7 331
 
3.5%
6 328
 
3.5%
8 324
 
3.5%
Close Punctuation
ValueCountFrequency (%)
] 1226
47.3%
) 1182
45.6%
】 78
 
3.0%
」 47
 
1.8%
』 32
 
1.2%
} 12
 
0.5%
］ 7
 
0.3%
》 6
 
0.2%
） 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 1215
47.3%
( 1170
45.6%
【 79
 
3.1%
「 48
 
1.9%
『 30
 
1.2%
{ 12
 
0.5%
［ 7
 
0.3%
《 6
 
0.2%
Space Separator
ValueCountFrequency (%)
35627
> 99.9%
　 5
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 170
68.3%
` 79
31.7%
Initial Punctuation
ValueCountFrequency (%)
“ 68
60.2%
‘ 45
39.8%
Final Punctuation
ValueCountFrequency (%)
” 67
58.3%
’ 48
41.7%
Control
ValueCountFrequency (%)
10
71.4%
4
 
28.6%
Other Number
ValueCountFrequency (%)
④ 1
50.0%
⑤ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 754
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 66
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158502
70.0%
Common 64435
28.5%
Latin 3244
 
1.4%
Han 196
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 4894
 
3.1%
지 3294
 
2.1%
자 2467
 
1.6%
회 2257
 
1.4%
이 2164
 
1.4%
다 2138
 
1.3%
기 1939
 
1.2%
대 1816
 
1.1%
니 1761
 
1.1%
제 1738
 
1.1%
Other values (1083) 134034
84.6%
Han
ValueCountFrequency (%)
中 20
 
10.2%
無 7
 
3.6%
人 6
 
3.1%
詩 4
 
2.0%
一 4
 
2.0%
李 3
 
1.5%
女 2
 
1.0%
家 2
 
1.0%
日 2
 
1.0%
夜 2
 
1.0%
Other values (125) 144
73.5%
Common
ValueCountFrequency (%)
35627
55.3%
. 4145
 
6.4%
2 2337
 
3.6%
0 2235
 
3.5%
! 1948
 
3.0%
1 1935
 
3.0%
] 1226
 
1.9%
[ 1215
 
1.9%
) 1182
 
1.8%
( 1170
 
1.8%
Other values (113) 11415
 
17.7%
Latin
ValueCountFrequency (%)
e 387
 
11.9%
r 280
 
8.6%
t 178
 
5.5%
R 169
 
5.2%
o 145
 
4.5%
E 130
 
4.0%
O 95
 
2.9%
C 92
 
2.8%
l 91
 
2.8%
p 89
 
2.7%
Other values (52) 1588
49.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158394
70.0%
ASCII 63832
28.2%
Geometric Shapes 2190
 
1.0%
Misc Symbols 858
 
0.4%
None 465
 
0.2%
Punctuation 313
 
0.1%
CJK 181
 
0.1%
Compat Jamo 106
 
< 0.1%
CJK Compat Ideographs 15
 
< 0.1%
Box Drawing 9
 
< 0.1%
Other values (4) 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35627
55.8%
. 4145
 
6.5%
2 2337
 
3.7%
0 2235
 
3.5%
! 1948
 
3.1%
1 1935
 
3.0%
] 1226
 
1.9%
[ 1215
 
1.9%
) 1182
 
1.9%
( 1170
 
1.8%
Other values (86) 10812
 
16.9%
Hangul
ValueCountFrequency (%)
사 4894
 
3.1%
지 3294
 
2.1%
자 2467
 
1.6%
회 2257
 
1.4%
이 2164
 
1.4%
다 2138
 
1.3%
기 1939
 
1.2%
대 1816
 
1.1%
니 1761
 
1.1%
제 1738
 
1.1%
Other values (1065) 133926
84.6%
Geometric Shapes
ValueCountFrequency (%)
◆ 619
28.3%
■ 516
23.6%
● 259
11.8%
◈ 222
 
10.1%
▶ 136
 
6.2%
◀ 84
 
3.8%
▣ 83
 
3.8%
▩ 66
 
3.0%
◑ 33
 
1.5%
◐ 32
 
1.5%
Other values (11) 140
 
6.4%
Misc Symbols
ValueCountFrequency (%)
★ 600
69.9%
☆ 56
 
6.5%
♣ 52
 
6.1%
♥ 36
 
4.2%
☎ 30
 
3.5%
♠ 29
 
3.4%
☞ 25
 
2.9%
♡ 12
 
1.4%
♧ 6
 
0.7%
♬ 5
 
0.6%
Other values (4) 7
 
0.8%
Punctuation
ValueCountFrequency (%)
※ 81
25.9%
“ 68
21.7%
” 67
21.4%
’ 48
15.3%
‘ 45
14.4%
… 4
 
1.3%
None
ValueCountFrequency (%)
【 79
17.0%
】 78
16.8%
＃ 50
10.8%
「 48
10.3%
」 47
10.1%
』 32
6.9%
· 30
 
6.5%
『 30
 
6.5%
〃 12
 
2.6%
］ 7
 
1.5%
Other values (23) 52
11.2%
CJK
ValueCountFrequency (%)
中 20
 
11.0%
無 7
 
3.9%
人 6
 
3.3%
詩 4
 
2.2%
一 4
 
2.2%
家 2
 
1.1%
日 2
 
1.1%
夜 2
 
1.1%
論 2
 
1.1%
生 2
 
1.1%
Other values (116) 130
71.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 18
17.0%
ㅠ 15
14.2%
ㅡ 12
11.3%
ㅣ 11
10.4%
ㅜ 7
 
6.6%
ㅇ 7
 
6.6%
ㅎ 7
 
6.6%
ㅅ 7
 
6.6%
ㅁ 4
 
3.8%
ㅍ 4
 
3.8%
Other values (6) 14
13.2%
Math Operators
ValueCountFrequency (%)
⊙ 4
57.1%
≫ 1
 
14.3%
≪ 1
 
14.3%
∼ 1
 
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
李 3
20.0%
女 2
13.3%
類 2
13.3%
龍 2
13.3%
靈 2
13.3%
不 1
 
6.7%
禮 1
 
6.7%
蓮 1
 
6.7%
老 1
 
6.7%
Arrows
ValueCountFrequency (%)
↑ 2
50.0%
→ 1
25.0%
⇒ 1
25.0%
Box Drawing
ValueCountFrequency (%)
┫ 2
22.2%
┣ 2
22.2%
╋ 1
11.1%
┌ 1
11.1%
┘ 1
11.1%
┏ 1
11.1%
┓ 1
11.1%
Enclosed Alphanum
ValueCountFrequency (%)
④ 1
50.0%
⑤ 1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

등록일
Text

Distinct8770
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:50:59.186523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17.343
Min length10

Characters and Unicode

Total characters173430
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8035 ?
Unique (%)80.3%

Sample

1st row2010-09-06 09:09:46
2nd row2021-01-07
3rd row2021-01-29 11:46:49.0
4th row2021-02-22 12:03:14.0
5th row2018-11-26
ValueCountFrequency (%)
00:55:00 231
 
1.3%
00:44:00 183
 
1.0%
00:00:00.0 60
 
0.3%
2010-02-19 14
 
0.1%
2008-06-18 13
 
0.1%
2020-12-08 12
 
0.1%
2021-04-27 11
 
0.1%
2009-06-18 11
 
0.1%
2020-02-26 10
 
0.1%
2021-06-29 10
 
0.1%
Other values (11318) 16917
96.8%
2024-01-10T06:50:59.497407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39198
22.6%
1 23264
13.4%
2 22864
13.2%
- 20000
11.5%
: 14944
 
8.6%
7472
 
4.3%
4 7374
 
4.3%
5 7271
 
4.2%
3 7169
 
4.1%
9 5764
 
3.3%
Other values (4) 18110
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127923
73.8%
Dash Punctuation 20000
 
11.5%
Other Punctuation 18035
 
10.4%
Space Separator 7472
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39198
30.6%
1 23264
18.2%
2 22864
17.9%
4 7374
 
5.8%
5 7271
 
5.7%
3 7169
 
5.6%
9 5764
 
4.5%
7 5175
 
4.0%
8 5077
 
4.0%
6 4767
 
3.7%
Other Punctuation
ValueCountFrequency (%)
: 14944
82.9%
. 3091
 
17.1%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Space Separator
ValueCountFrequency (%)
7472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 173430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39198
22.6%
1 23264
13.4%
2 22864
13.2%
- 20000
11.5%
: 14944
 
8.6%
7472
 
4.3%
4 7374
 
4.3%
5 7271
 
4.2%
3 7169
 
4.1%
9 5764
 
3.3%
Other values (4) 18110
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 173430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39198
22.6%
1 23264
13.4%
2 22864
13.2%
- 20000
11.5%
: 14944
 
8.6%
7472
 
4.3%
4 7374
 
4.3%
5 7271
 
4.2%
3 7169
 
4.1%
9 5764
 
3.3%
Other values (4) 18110
10.4%

조회수
Real number (ℝ)

SKEWED  ZEROS 

Distinct1527
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.3612
Minimum0
Maximum68171
Zeros1258
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T06:50:59.609237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median169
Q3365
95-th percentile1286.1
Maximum68171
Range68171
Interquartile range (IQR)343

Descriptive statistics

Standard deviation2842.1215
Coefficient of variation (CV)6.3248039
Kurtosis531.75901
Mean449.3612
Median Absolute Deviation (MAD)153
Skewness22.613414
Sum4493612
Variance8077654.5
MonotonicityNot monotonic
2024-01-10T06:50:59.719019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1258
 
12.6%
1 90
 
0.9%
7 79
 
0.8%
6 76
 
0.8%
2 75
 
0.8%
3 70
 
0.7%
12 66
 
0.7%
13 62
 
0.6%
9 60
 
0.6%
14 59
 
0.6%
Other values (1517) 8105
81.0%
ValueCountFrequency (%)
0 1258
12.6%
1 90
 
0.9%
2 75
 
0.8%
3 70
 
0.7%
4 55
 
0.5%
5 51
 
0.5%
6 76
 
0.8%
7 79
 
0.8%
8 58
 
0.6%
9 60
 
0.6%
ValueCountFrequency (%)
68171 1
< 0.1%
68046 1
< 0.1%
68004 1
< 0.1%
67914 1
< 0.1%
67861 1
< 0.1%
67860 1
< 0.1%
67852 1
< 0.1%
67780 1
< 0.1%
67685 1
< 0.1%
67633 2
< 0.1%

Interactions

2024-01-10T06:50:57.234933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:56.779576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:57.007786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:57.321785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:56.854370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:57.083929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:57.425570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:56.930848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:50:57.155991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:50:59.788945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호기관코드시도명조회수
번호1.0000.8031.0000.105
기관코드0.8031.0001.0000.065
시도명1.0001.0001.0000.205
조회수0.1050.0650.2051.000
2024-01-10T06:50:59.859150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호기관코드조회수시도명
번호1.0000.119-0.3401.000
기관코드0.1191.000-0.4121.000
조회수-0.340-0.4121.0000.125
시도명1.0001.0000.1251.000

Missing values

2024-01-10T06:50:57.559875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:50:57.677678image/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

번호기관코드시도명제목등록일조회수
110254351664570000부여군지평선축제에서 가을날의 풍성한 추억을 담아보세요2010-09-06 09:09:46182
443164688154610000예산군◆양돈장악취-레전드(COVID19-OUT)2021-01-0725
202020214500000공주시2021년도 주택용태양광 정부보조 (주택지원사업) 신청받습니다2021-01-29 11:46:49.05
227774472344600000홍성군사회복지실습 보육실습 평생교육실습. 아직 못하셨나요?2021-02-22 12:03:14.03
344074589064610000예산군사회복지직일자리 34만 창출계획안 발표 40% 장학혜택과 함께 전문직 취업하세요2018-11-26192
6530412351174540000논산시성서의 진실을 파헤친다2008-09-26 11:35:06177
372374617364610000예산군◆◆◆ 법 개정 확정!! 지금이 마지막 기회입니다. (사.회복지사 & 보.육교사) ◆◆◆2019-08-2023
362804607794610000예산군중고 120평형 삼성 냉난방기 팔아요(실내기 실외기)2019-06-12161
6128412310274540000논산시폐비닐의 화려한 변화가 시작되다.2017-08-21 01:28:39688
329694574684610000예산군사회복지사 / 보육교사 / 학위 취득 등록금 지원안내 (선착순 50명한함)2018-06-12159
번호기관코드시도명제목등록일조회수
369664614654610000예산군사회복지사 & 보육교사 전폭적인 지원을 약속드립니다.2019-08-0327
4952612160114550000금산군소음에 잠도 못자 새벽엔 헛구역질까지...2011-06-23 08:05:24255
8094612509575680000당진시보행자의 안전 없는 당진군2009-05-27 13:30:51.00
7542712452404540000논산시충청남도 문화예술이 다시한번 일어납니다.2003-04-22 03:19:53470
4862012151054550000금산군누구를 위한 것인가?2012-12-31 11:31:201075
6404412337874540000논산시안전한 부동산 거래2011-03-19 11:40:32301
5778012245274550000금산군액취증 이젠 고민하지 맙시다.2004-11-08 00:44:00184
128444370164570000부여군제4회 백합꽃축제입니다.2009-04-12 11:38:08346
167264409394580000서천군국립부여박물관 인문학 강좌 “百家濟海 대륙과 해양의 실크로드” 안내2019-03-28 11:06:23.072
5745412242014550000금산군I"PARK TOWER 준공기념 다니엘 리베스킨트 강연회2005-01-06 00:55:00271