Overview

Dataset statistics

Number of variables12
Number of observations6318
Missing cells0
Missing cells (%)0.0%
Duplicate rows303
Duplicate rows (%)4.8%
Total size in memory617.1 KiB
Average record size in memory100.0 B

Variable types

Numeric4
DateTime2
Categorical2
Boolean2
Text2

Dataset

Description대구광역시의회 의원들의 회의록 안건으로 대수, 회수, 차수, 일차, 회의명, 회의정보, 임시회의록 구분 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15117624/fileData.do

Alerts

임시회의록구분 has constant value ""Constant
기준일 has constant value ""Constant
Dataset has 303 (4.8%) duplicate rowsDuplicates
년도 is highly overall correlated with 대수 and 1 other fieldsHigh correlation
대수 is highly overall correlated with 년도 and 1 other fieldsHigh correlation
회기 is highly overall correlated with 년도 and 1 other fieldsHigh correlation
차수 is highly overall correlated with 안건유무High correlation
안건유무 is highly overall correlated with 차수High correlation
차수 has 1634 (25.9%) zerosZeros

Reproduction

Analysis started2023-12-12 09:56:16.581268
Analysis finished2023-12-12 09:56:20.900035
Duration4.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.5715
Minimum1991
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2023-12-12T18:56:21.016024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1993
Q12000
median2008
Q32015
95-th percentile2021
Maximum2023
Range32
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.9614866
Coefficient of variation (CV)0.0044638442
Kurtosis-1.1417291
Mean2007.5715
Median Absolute Deviation (MAD)8
Skewness-0.067611538
Sum12683837
Variance80.308242
MonotonicityNot monotonic
2023-12-12T18:56:21.187546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1999 235
 
3.7%
2012 233
 
3.7%
2011 230
 
3.6%
1998 229
 
3.6%
2014 228
 
3.6%
2010 224
 
3.5%
2022 222
 
3.5%
2000 218
 
3.5%
2008 216
 
3.4%
2020 208
 
3.3%
Other values (23) 4075
64.5%
ValueCountFrequency (%)
1991 84
 
1.3%
1992 146
2.3%
1993 143
2.3%
1994 164
2.6%
1995 170
2.7%
1996 183
2.9%
1997 149
2.4%
1998 229
3.6%
1999 235
3.7%
2000 218
3.5%
ValueCountFrequency (%)
2023 71
 
1.1%
2022 222
3.5%
2021 197
3.1%
2020 208
3.3%
2019 204
3.2%
2018 206
3.3%
2017 192
3.0%
2016 205
3.2%
2015 206
3.3%
2014 228
3.6%

대수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.935106
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2023-12-12T18:56:21.348949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.3024924
Coefficient of variation (CV)0.46655378
Kurtosis-1.0674619
Mean4.935106
Median Absolute Deviation (MAD)2
Skewness-0.09725016
Sum31180
Variance5.3014712
MonotonicityDecreasing
2023-12-12T18:56:21.474806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 885
14.0%
3 866
13.7%
5 835
13.2%
8 826
13.1%
7 824
13.0%
4 749
11.9%
1 579
9.2%
2 520
8.2%
9 234
 
3.7%
ValueCountFrequency (%)
1 579
9.2%
2 520
8.2%
3 866
13.7%
4 749
11.9%
5 835
13.2%
6 885
14.0%
7 824
13.0%
8 826
13.1%
9 234
 
3.7%
ValueCountFrequency (%)
9 234
 
3.7%
8 826
13.1%
7 824
13.0%
6 885
14.0%
5 835
13.2%
4 749
11.9%
3 866
13.7%
2 520
8.2%
1 579
9.2%

회기
Real number (ℝ)

HIGH CORRELATION 

Distinct302
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.04289
Minimum1
Maximum302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2023-12-12T18:56:21.926868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25
Q191
median171
Q3238
95-th percentile287
Maximum302
Range301
Interquartile range (IQR)147

Descriptive statistics

Standard deviation84.140265
Coefficient of variation (CV)0.51291625
Kurtosis-1.1440041
Mean164.04289
Median Absolute Deviation (MAD)73
Skewness-0.16010386
Sum1036423
Variance7079.5842
MonotonicityDecreasing
2023-12-12T18:56:22.072819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 103
 
1.6%
238 101
 
1.6%
201 101
 
1.6%
192 101
 
1.6%
211 97
 
1.5%
287 96
 
1.5%
279 95
 
1.5%
271 93
 
1.5%
263 93
 
1.5%
76 93
 
1.5%
Other values (292) 5345
84.6%
ValueCountFrequency (%)
1 4
 
0.1%
2 10
 
0.2%
3 14
 
0.2%
4 10
 
0.2%
5 10
 
0.2%
6 36
0.6%
7 4
 
0.1%
8 11
 
0.2%
9 10
 
0.2%
10 17
0.3%
ValueCountFrequency (%)
302 4
 
0.1%
301 23
 
0.4%
300 10
 
0.2%
299 14
 
0.2%
298 20
 
0.3%
297 90
1.4%
296 12
 
0.2%
295 31
 
0.5%
294 25
 
0.4%
293 5
 
0.1%

차수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6098449
Minimum0
Maximum10
Zeros1634
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2023-12-12T18:56:22.196381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5541143
Coefficient of variation (CV)0.96538136
Kurtosis2.2488868
Mean1.6098449
Median Absolute Deviation (MAD)1
Skewness1.3301673
Sum10171
Variance2.4152711
MonotonicityNot monotonic
2023-12-12T18:56:22.323600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 2013
31.9%
0 1634
25.9%
2 1192
18.9%
3 763
 
12.1%
4 378
 
6.0%
5 174
 
2.8%
6 93
 
1.5%
7 39
 
0.6%
8 19
 
0.3%
9 10
 
0.2%
ValueCountFrequency (%)
0 1634
25.9%
1 2013
31.9%
2 1192
18.9%
3 763
 
12.1%
4 378
 
6.0%
5 174
 
2.8%
6 93
 
1.5%
7 39
 
0.6%
8 19
 
0.3%
9 10
 
0.2%
ValueCountFrequency (%)
10 3
 
< 0.1%
9 10
 
0.2%
8 19
 
0.3%
7 39
 
0.6%
6 93
 
1.5%
5 174
 
2.8%
4 378
 
6.0%
3 763
 
12.1%
2 1192
18.9%
1 2013
31.9%

회의날짜
Date

Distinct2792
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
Minimum1991-07-08 00:00:00
Maximum2023-07-25 00:00:00
2023-12-12T18:56:22.473001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:22.632252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회의요일
Categorical

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
화요일
668 
월요일
662 
火요일
636 
금요일
626 
목요일
613 
Other values (9)
3113 

Length

Max length3
Median length3
Mean length2.9996834
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row수요일
2nd row화요일
3rd row화요일
4th row화요일
5th row수요일

Common Values

ValueCountFrequency (%)
화요일 668
10.6%
월요일 662
10.5%
火요일 636
10.1%
금요일 626
9.9%
목요일 613
9.7%
月요일 604
9.6%
수요일 578
9.1%
水요일 571
9.0%
金요일 552
8.7%
木요일 539
8.5%
Other values (4) 269
4.3%

Length

2023-12-12T18:56:22.780073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화요일 668
10.6%
월요일 662
10.5%
火요일 636
10.1%
금요일 626
9.9%
목요일 613
9.7%
月요일 604
9.6%
수요일 578
9.1%
水요일 571
9.0%
金요일 552
8.7%
木요일 539
8.5%
Other values (4) 269
4.3%

회의구분
Categorical

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
[임시회]
1362 
<NA>
1337 
[臨時會]
1221 
[臨時會]
589 
[제2차정례회]
403 
Other values (27)
1406 

Length

Max length13
Median length5
Mean length5.3162393
Min length4

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row[임시회]
2nd row[임시회]
3rd row[임시회]
4th row[임시회]
5th row[정례회]

Common Values

ValueCountFrequency (%)
[임시회] 1362
21.6%
<NA> 1337
21.2%
[臨時會] 1221
19.3%
[臨時會] 589
9.3%
[제2차정례회] 403
 
6.4%
[정례회] 368
 
5.8%
[定期會] 321
 
5.1%
[第1次定例會] 205
 
3.2%
[제1차정례회] 204
 
3.2%
[第2次定例會] 181
 
2.9%
Other values (22) 127
 
2.0%

Length

2023-12-12T18:56:22.942900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
임시회 1362
21.5%
na 1337
21.1%
臨時會 1223
19.3%
臨時會 589
9.3%
제2차정례회 404
 
6.4%
정례회 368
 
5.8%
定期會 321
 
5.1%
第1次定例會 205
 
3.2%
제1차정례회 204
 
3.2%
第2次定例會 181
 
2.9%
Other values (20) 153
 
2.4%

안건유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
True
4684 
False
1634 
ValueCountFrequency (%)
True 4684
74.1%
False 1634
 
25.9%
2023-12-12T18:56:23.077502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

회의명
Text

Distinct86
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
2023-12-12T18:56:23.282901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length7
Mean length6.5191516
Min length3

Characters and Unicode

Total characters41188
Distinct characters271
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row본회의
2nd row본회의
3rd row운영위원회
4th row본회의
5th row예산결산특별위원회
ValueCountFrequency (%)
議會本會議 733
 
11.6%
본회의 492
 
7.8%
문화복지위원회 412
 
6.5%
교육위원회 385
 
6.1%
建設環境委員會 337
 
5.3%
內務委員會 302
 
4.8%
기획행정위원회 279
 
4.4%
경제환경위원회 272
 
4.3%
건설교통위원회 244
 
3.9%
經濟交通委員會 241
 
3.8%
Other values (76) 2621
41.5%
2023-12-12T18:56:23.715122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
會 4427
 
10.7%
회 3252
 
7.9%
원 2636
 
6.4%
위 2613
 
6.3%
員 2449
 
5.9%
委 2449
 
5.9%
議 1513
 
3.7%
경 941
 
2.3%
교 896
 
2.2%
本 733
 
1.8%
Other values (261) 19279
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41032
99.6%
Decimal Number 80
 
0.2%
Other Punctuation 45
 
0.1%
Open Punctuation 12
 
< 0.1%
Close Punctuation 12
 
< 0.1%
Uppercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
會 4427
 
10.8%
회 3252
 
7.9%
원 2636
 
6.4%
위 2613
 
6.4%
員 2449
 
6.0%
委 2449
 
6.0%
議 1513
 
3.7%
경 941
 
2.3%
교 896
 
2.2%
本 733
 
1.8%
Other values (252) 19123
46.6%
Decimal Number
ValueCountFrequency (%)
1 37
46.2%
0 20
25.0%
2 20
25.0%
5 3
 
3.8%
Other Punctuation
ValueCountFrequency (%)
· 33
73.3%
, 12
 
26.7%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 20881
50.7%
Hangul 20151
48.9%
Common 149
 
0.4%
Latin 7
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
會 4427
21.2%
員 2449
 
11.7%
委 2449
 
11.7%
議 1513
 
7.2%
本 733
 
3.5%
建 541
 
2.6%
設 541
 
2.6%
社 459
 
2.2%
敎 448
 
2.1%
算 406
 
1.9%
Other values (143) 6915
33.1%
Hangul
ValueCountFrequency (%)
회 3252
16.1%
원 2636
 
13.1%
위 2613
 
13.0%
경 941
 
4.7%
교 896
 
4.4%
의 574
 
2.8%
본 523
 
2.6%
제 485
 
2.4%
육 459
 
2.3%
통 456
 
2.3%
Other values (99) 7316
36.3%
Common
ValueCountFrequency (%)
1 37
24.8%
· 33
22.1%
0 20
13.4%
2 20
13.4%
( 12
 
8.1%
, 12
 
8.1%
) 12
 
8.1%
5 3
 
2.0%
Latin
ValueCountFrequency (%)
U 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 20859
50.6%
Hangul 20151
48.9%
ASCII 123
 
0.3%
None 33
 
0.1%
CJK Compat Ideographs 22
 
0.1%

Most frequent character per block

CJK
ValueCountFrequency (%)
會 4427
21.2%
員 2449
 
11.7%
委 2449
 
11.7%
議 1513
 
7.3%
本 733
 
3.5%
建 541
 
2.6%
設 541
 
2.6%
社 459
 
2.2%
敎 448
 
2.1%
算 406
 
1.9%
Other values (141) 6893
33.0%
Hangul
ValueCountFrequency (%)
회 3252
16.1%
원 2636
 
13.1%
위 2613
 
13.0%
경 941
 
4.7%
교 896
 
4.4%
의 574
 
2.8%
본 523
 
2.6%
제 485
 
2.4%
육 459
 
2.3%
통 456
 
2.3%
Other values (99) 7316
36.3%
ASCII
ValueCountFrequency (%)
1 37
30.1%
0 20
16.3%
2 20
16.3%
( 12
 
9.8%
, 12
 
9.8%
) 12
 
9.8%
U 7
 
5.7%
5 3
 
2.4%
None
ValueCountFrequency (%)
· 33
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
女 12
54.5%
陸 10
45.5%

회의정보
Text

Distinct5984
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
2023-12-12T18:56:24.166502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length52
Mean length31.223488
Min length28

Characters and Unicode

Total characters197270
Distinct characters295
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5681 ?
Unique (%)89.9%

Sample

1st row제302회 제2차 본회의 2023.07.19 수요일
2nd row제302회 제1차 본회의 2023.07.18 화요일
3rd row제302회 제1차 운영위원회 2023.07.25 화요일
4th row제302회 개회식 본회의 2023.07.18 화요일
5th row제301회 제3차 예산결산특별위원회 2023.06.28 수요일
ValueCountFrequency (%)
제1차 2013
 
6.4%
개회식 1463
 
4.6%
제2차 1192
 
3.8%
제3차 763
 
2.4%
議會本會議 733
 
2.3%
화요일 668
 
2.1%
월요일 662
 
2.1%
火요일 636
 
2.0%
금요일 626
 
2.0%
목요일 613
 
1.9%
Other values (3199) 22222
70.3%
2023-12-12T18:56:24.778697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25273
 
12.8%
1 17700
 
9.0%
2 15479
 
7.8%
0 14159
 
7.2%
. 12636
 
6.4%
제 11487
 
5.8%
회 11033
 
5.6%
일 6318
 
3.2%
요 6318
 
3.2%
9 5920
 
3.0%
Other values (285) 70947
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86892
44.0%
Decimal Number 72393
36.7%
Space Separator 25273
 
12.8%
Other Punctuation 12681
 
6.4%
Open Punctuation 12
 
< 0.1%
Close Punctuation 12
 
< 0.1%
Uppercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 11487
 
13.2%
회 11033
 
12.7%
일 6318
 
7.3%
요 6318
 
7.3%
차 4684
 
5.4%
會 4592
 
5.3%
원 2640
 
3.0%
위 2613
 
3.0%
委 2449
 
2.8%
員 2449
 
2.8%
Other values (268) 32309
37.2%
Decimal Number
ValueCountFrequency (%)
1 17700
24.4%
2 15479
21.4%
0 14159
19.6%
9 5920
 
8.2%
3 3821
 
5.3%
6 3477
 
4.8%
7 3409
 
4.7%
4 3175
 
4.4%
5 2717
 
3.8%
8 2536
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 12636
99.6%
· 33
 
0.3%
, 12
 
0.1%
Space Separator
ValueCountFrequency (%)
25273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110371
55.9%
Hangul 62343
31.6%
Han 24549
 
12.4%
Latin 7
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
會 4592
18.7%
委 2449
 
10.0%
員 2449
 
10.0%
議 1513
 
6.2%
本 733
 
3.0%
火 637
 
2.6%
月 605
 
2.5%
水 582
 
2.4%
金 552
 
2.2%
設 541
 
2.2%
Other values (151) 9896
40.3%
Hangul
ValueCountFrequency (%)
제 11487
18.4%
회 11033
17.7%
일 6318
10.1%
요 6318
10.1%
차 4684
 
7.5%
원 2640
 
4.2%
위 2613
 
4.2%
개 1469
 
2.4%
식 1467
 
2.4%
화 1090
 
1.7%
Other values (107) 13224
21.2%
Common
ValueCountFrequency (%)
25273
22.9%
1 17700
16.0%
2 15479
14.0%
0 14159
12.8%
. 12636
11.4%
9 5920
 
5.4%
3 3821
 
3.5%
6 3477
 
3.2%
7 3409
 
3.1%
4 3175
 
2.9%
Other values (6) 5322
 
4.8%
Latin
ValueCountFrequency (%)
U 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110345
55.9%
Hangul 62343
31.6%
CJK 23975
 
12.2%
CJK Compat Ideographs 574
 
0.3%
None 33
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25273
22.9%
1 17700
16.0%
2 15479
14.0%
0 14159
12.8%
. 12636
11.5%
9 5920
 
5.4%
3 3821
 
3.5%
6 3477
 
3.2%
7 3409
 
3.1%
4 3175
 
2.9%
Other values (6) 5296
 
4.8%
Hangul
ValueCountFrequency (%)
제 11487
18.4%
회 11033
17.7%
일 6318
10.1%
요 6318
10.1%
차 4684
 
7.5%
원 2640
 
4.2%
위 2613
 
4.2%
개 1469
 
2.4%
식 1467
 
2.4%
화 1090
 
1.7%
Other values (107) 13224
21.2%
CJK
ValueCountFrequency (%)
會 4592
19.2%
委 2449
 
10.2%
員 2449
 
10.2%
議 1513
 
6.3%
本 733
 
3.1%
火 637
 
2.7%
月 605
 
2.5%
水 582
 
2.4%
設 541
 
2.3%
建 541
 
2.3%
Other values (148) 9333
38.9%
CJK Compat Ideographs
ValueCountFrequency (%)
金 552
96.2%
女 12
 
2.1%
陸 10
 
1.7%
None
ValueCountFrequency (%)
· 33
100.0%

임시회의록구분
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
False
6318 
ValueCountFrequency (%)
False 6318
100.0%
2023-12-12T18:56:24.941930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T18:56:25.029009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:25.125543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:56:19.941938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:18.073030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:18.743066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:19.346170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:20.069582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:18.233122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:18.898698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:19.494932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:20.226818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:18.430485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:19.056461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:19.666844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:20.381386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:18.589964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:19.210242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:56:19.827082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:56:25.227415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도대수회기차수회의요일회의구분안건유무회의명
년도1.0000.9440.9880.1900.6480.7950.0720.871
대수0.9441.0000.9340.1280.6390.8010.0670.867
회기0.9880.9341.0000.2100.6400.7940.1050.861
차수0.1900.1280.2101.0000.1250.4781.0000.313
회의요일0.6480.6390.6400.1251.0000.6840.0810.705
회의구분0.7950.8010.7940.4780.6841.0000.3390.901
안건유무0.0720.0670.1051.0000.0810.3391.0000.289
회의명0.8710.8670.8610.3130.7050.9010.2891.000
2023-12-12T18:56:25.351452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회의구분회의요일안건유무
회의구분1.0000.2880.288
회의요일0.2881.0000.063
안건유무0.2880.0631.000
2023-12-12T18:56:25.456270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도대수회기차수회의요일회의구분안건유무
년도1.0000.9921.000-0.0560.3280.4260.056
대수0.9921.0000.992-0.0550.3340.4530.066
회기1.0000.9921.000-0.0630.3220.4250.080
차수-0.056-0.055-0.0631.0000.0450.1640.504
회의요일0.3280.3340.3220.0451.0000.2880.063
회의구분0.4260.4530.4250.1640.2881.0000.288
안건유무0.0560.0660.0800.5040.0630.2881.000

Missing values

2023-12-12T18:56:20.572400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:56:20.797365image/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

년도대수회기차수회의날짜회의요일회의구분안건유무회의명회의정보임시회의록구분기준일
02023930222023-07-19수요일[임시회]Y본회의제302회 제2차 본회의 2023.07.19 수요일N2023-08-01
12023930212023-07-18화요일[임시회]Y본회의제302회 제1차 본회의 2023.07.18 화요일N2023-08-01
22023930212023-07-25화요일[임시회]Y운영위원회제302회 제1차 운영위원회 2023.07.25 화요일N2023-08-01
32023930202023-07-18화요일[임시회]N본회의제302회 개회식 본회의 2023.07.18 화요일N2023-08-01
42023930132023-06-28수요일[정례회]Y예산결산특별위원회제301회 제3차 예산결산특별위원회 2023.06.28 수요일N2023-08-01
52023930132023-06-21수요일[정례회]Y건설교통위원회제301회 제3차 건설교통위원회 2023.06.21 수요일N2023-08-01
62023930132023-06-23금요일[정례회]Y기획행정위원회제301회 제3차 기획행정위원회 2023.06.23 금요일N2023-08-01
72023930132023-06-21수요일[정례회]Y경제환경위원회제301회 제3차 경제환경위원회 2023.06.21 수요일N2023-08-01
82023930132023-06-21수요일[정례회]Y교육위원회제301회 제3차 교육위원회 2023.06.21 수요일N2023-08-01
92023930132023-06-21수요일[정례회]Y문화복지위원회제301회 제3차 문화복지위원회 2023.06.21 수요일N2023-08-01
년도대수회기차수회의날짜회의요일회의구분안건유무회의명회의정보임시회의록구분기준일
630819911221991-09-10火요일[臨時會][閉會中]Y文敎社會委員會제2회 제2차 文敎社會委員會 1991.09.10 火요일N2023-08-01
630919911211991-08-07水요일[臨時會]Y議會本會議제2회 제1차 議會本會議 1991.08.07 水요일N2023-08-01
631019911211991-08-08木요일[臨時會]Y議會運營委員會제2회 제1차 議會運營委員會 1991.08.08 木요일N2023-08-01
631119911211991-08-08木요일[臨時會]Y文敎社會委員會제2회 제1차 文敎社會委員會 1991.08.08 木요일N2023-08-01
631219911211991-08-08木요일[臨時會]Y産業·建設委員會제2회 제1차 産業·建設委員會 1991.08.08 木요일N2023-08-01
631319911201991-08-07水요일[臨時會]N議會本會議제2회 開會式 議會本會議 1991.08.07 水요일N2023-08-01
631419911131991-07-10水요일[臨時會]Y議會本會議제1회 제3차 議會本會議 1991.07.10 水요일N2023-08-01
631519911121991-07-09火요일[臨時會]Y議會本會議제1회 제2차 議會本會議 1991.07.09 火요일N2023-08-01
631619911111991-07-08月요일[臨時會]Y議會本會議제1회 제1차 議會本會議 1991.07.08 月요일N2023-08-01
631719911101991-07-08月요일[臨時會]N議會本會議제1회 開院式 議會本會議 1991.07.08 月요일N2023-08-01

Duplicate rows

Most frequently occurring

년도대수회기차수회의날짜회의요일회의구분안건유무회의명회의정보임시회의록구분기준일# duplicates
6199413701994-11-25金요일<NA>N文敎社會委員會제37회 개회식 文敎社會委員會 1994.11.25 金요일N2023-08-014
1042007516402007-11-20火요일<NA>N敎育社會委員會제164회 개회식 敎育社會委員會 2007.11.20 火요일N2023-08-014
0199413701994-11-22火요일<NA>N文敎社會委員會제37회 개회식 文敎社會委員會 1994.11.22 火요일N2023-08-013
1199413701994-11-22火요일<NA>N産業委員會제37회 개회식 産業委員會 1994.11.22 火요일N2023-08-013
2199413701994-11-23水요일<NA>N文敎社會委員會제37회 개회식 文敎社會委員會 1994.11.23 水요일N2023-08-013
4199413701994-11-24木요일<NA>N文敎社會委員會제37회 개회식 文敎社會委員會 1994.11.24 木요일N2023-08-013
7199413701994-11-28月요일<NA>N內務委員會제37회 개회식 內務委員會 1994.11.28 月요일N2023-08-013
8199413701994-11-29火요일<NA>N內務委員會제37회 개회식 內務委員會 1994.11.29 火요일N2023-08-013
12199524701995-11-28火요일<NA>N內務委員會제47회 개회식 內務委員會 1995.11.28 火요일N2023-08-013
16199625601996-11-26火요일<NA>N産業委員會제56회 개회식 産業委員會 1996.11.26 火요일N2023-08-013