Overview

Dataset statistics

Number of variables13
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory112.2 B

Variable types

Numeric7
Categorical5
Text1

Dataset

Description태안군의안정보(회기, 의안번호, 제출일, 회부일, 상정일, 위원회, 발의자, 안건명, 처리, 이송일, 공포일)
Author충청남도 태안군
URLhttps://www.data.go.kr/data/15037976/fileData.do

Alerts

처리 has constant value ""Constant
연번 is highly overall correlated with 회기 and 6 other fieldsHigh correlation
회기 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
의안번호 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
제출일 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
회부일 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
상정일 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
이송일 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
위원회 is highly overall correlated with 공포일High correlation
공포일 is highly overall correlated with 연번 and 7 other fieldsHigh correlation
비고 is highly imbalanced (87.2%)Imbalance
연번 has unique valuesUnique
의안번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:42:20.786457
Analysis finished2023-12-11 23:42:27.316722
Duration6.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:27.389168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2023-12-12T08:42:27.540179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

회기
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222.32727
Minimum151
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:27.686628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile153
Q1199
median232
Q3250
95-th percentile261
Maximum261
Range110
Interquartile range (IQR)51

Descriptive statistics

Standard deviation36.449565
Coefficient of variation (CV)0.16394554
Kurtosis-0.63221313
Mean222.32727
Median Absolute Deviation (MAD)23.5
Skewness-0.8549308
Sum24456
Variance1328.5708
MonotonicityIncreasing
2023-12-12T08:42:27.818694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
153 13
 
11.8%
261 8
 
7.3%
232 6
 
5.5%
256 5
 
4.5%
222 5
 
4.5%
258 5
 
4.5%
246 4
 
3.6%
199 4
 
3.6%
250 4
 
3.6%
259 4
 
3.6%
Other values (36) 52
47.3%
ValueCountFrequency (%)
151 1
 
0.9%
153 13
11.8%
162 2
 
1.8%
168 1
 
0.9%
169 2
 
1.8%
175 1
 
0.9%
180 1
 
0.9%
181 1
 
0.9%
184 1
 
0.9%
194 1
 
0.9%
ValueCountFrequency (%)
261 8
7.3%
259 4
3.6%
258 5
4.5%
257 1
 
0.9%
256 5
4.5%
254 2
 
1.8%
253 2
 
1.8%
250 4
3.6%
249 1
 
0.9%
248 3
 
2.7%

의안번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1585.1273
Minimum939
Maximum2038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:27.948551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum939
5-th percentile949.45
Q11310.25
median1654.5
Q31869.75
95-th percentile2031.55
Maximum2038
Range1099
Interquartile range (IQR)559.5

Descriptive statistics

Standard deviation362.46736
Coefficient of variation (CV)0.22866767
Kurtosis-1.0075518
Mean1585.1273
Median Absolute Deviation (MAD)275.5
Skewness-0.5277544
Sum174364
Variance131382.59
MonotonicityStrictly increasing
2023-12-12T08:42:28.104079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
939 1
 
0.9%
1809 1
 
0.9%
1869 1
 
0.9%
1868 1
 
0.9%
1867 1
 
0.9%
1858 1
 
0.9%
1837 1
 
0.9%
1836 1
 
0.9%
1835 1
 
0.9%
1815 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
939 1
0.9%
945 1
0.9%
946 1
0.9%
947 1
0.9%
948 1
0.9%
949 1
0.9%
950 1
0.9%
951 1
0.9%
952 1
0.9%
953 1
0.9%
ValueCountFrequency (%)
2038 1
0.9%
2037 1
0.9%
2035 1
0.9%
2034 1
0.9%
2033 1
0.9%
2032 1
0.9%
2031 1
0.9%
2030 1
0.9%
2012 1
0.9%
2011 1
0.9%

제출일
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148910.06
Minimum80201
Maximum190726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:28.258705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80201
5-th percentile80402
Q1121011
median160407
Q3180130
95-th percentile190711
Maximum190726
Range110525
Interquartile range (IQR)59119

Descriptive statistics

Standard deviation37081.878
Coefficient of variation (CV)0.24902197
Kurtosis-0.76009543
Mean148910.06
Median Absolute Deviation (MAD)20701
Skewness-0.73677629
Sum16380107
Variance1.3750657 × 109
MonotonicityNot monotonic
2023-12-12T08:42:28.389051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80402 13
 
11.8%
160407 6
 
5.5%
190711 6
 
5.5%
181108 5
 
4.5%
150305 5
 
4.5%
190307 5
 
4.5%
170728 4
 
3.6%
121011 4
 
3.6%
180130 4
 
3.6%
190424 4
 
3.6%
Other values (40) 54
49.1%
ValueCountFrequency (%)
80201 1
 
0.9%
80402 13
11.8%
90306 2
 
1.8%
91002 1
 
0.9%
91030 1
 
0.9%
91106 1
 
0.9%
100722 1
 
0.9%
110127 1
 
0.9%
110310 1
 
0.9%
110616 1
 
0.9%
ValueCountFrequency (%)
190726 1
 
0.9%
190718 1
 
0.9%
190711 6
5.5%
190424 4
3.6%
190307 5
4.5%
190215 1
 
0.9%
181108 5
4.5%
180920 2
 
1.8%
180719 2
 
1.8%
180130 4
3.6%

회부일
Real number (ℝ)

HIGH CORRELATION 

Distinct53
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148929.62
Minimum80212
Maximum190729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:28.539266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80212
5-th percentile80407
Q1121019
median160420.5
Q3180207
95-th percentile190712
Maximum190729
Range110517
Interquartile range (IQR)59188

Descriptive statistics

Standard deviation37085.946
Coefficient of variation (CV)0.24901659
Kurtosis-0.76008219
Mean148929.62
Median Absolute Deviation (MAD)20701
Skewness-0.7371296
Sum16382258
Variance1.3753674 × 109
MonotonicityNot monotonic
2023-12-12T08:42:28.663737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80407 13
 
11.8%
190712 6
 
5.5%
160420 5
 
4.5%
190308 5
 
4.5%
150313 5
 
4.5%
180207 4
 
3.6%
190425 4
 
3.6%
181122 4
 
3.6%
121019 4
 
3.6%
171101 3
 
2.7%
Other values (43) 57
51.8%
ValueCountFrequency (%)
80212 1
 
0.9%
80407 13
11.8%
90313 2
 
1.8%
91009 1
 
0.9%
91105 1
 
0.9%
91106 1
 
0.9%
100730 1
 
0.9%
110210 1
 
0.9%
110311 1
 
0.9%
110617 1
 
0.9%
ValueCountFrequency (%)
190729 1
 
0.9%
190719 1
 
0.9%
190712 6
5.5%
190425 4
3.6%
190308 5
4.5%
190215 1
 
0.9%
181122 4
3.6%
181121 1
 
0.9%
180927 2
 
1.8%
180730 2
 
1.8%

상정일
Real number (ℝ)

HIGH CORRELATION 

Distinct50
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148943.54
Minimum80214
Maximum190730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:28.796330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80214
5-th percentile80415
Q1121023
median160426
Q3180227
95-th percentile190724
Maximum190730
Range110516
Interquartile range (IQR)59204

Descriptive statistics

Standard deviation37092.109
Coefficient of variation (CV)0.2490347
Kurtosis-0.76048567
Mean148943.54
Median Absolute Deviation (MAD)20701
Skewness-0.73676071
Sum16383789
Variance1.3758246 × 109
MonotonicityNot monotonic
2023-12-12T08:42:28.961510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80415 13
 
11.8%
160426 6
 
5.5%
190724 6
 
5.5%
181127 5
 
4.5%
150325 5
 
4.5%
180227 4
 
3.6%
170818 4
 
3.6%
190503 4
 
3.6%
190314 4
 
3.6%
121023 4
 
3.6%
Other values (40) 55
50.0%
ValueCountFrequency (%)
80214 1
 
0.9%
80415 13
11.8%
90317 2
 
1.8%
91014 1
 
0.9%
91110 2
 
1.8%
100802 1
 
0.9%
110214 1
 
0.9%
110315 1
 
0.9%
110620 1
 
0.9%
120515 1
 
0.9%
ValueCountFrequency (%)
190730 1
 
0.9%
190726 1
 
0.9%
190724 6
5.5%
190503 4
3.6%
190314 4
3.6%
190308 1
 
0.9%
190218 1
 
0.9%
181127 5
4.5%
181015 2
 
1.8%
180813 2
 
1.8%

위원회
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
조례특위
87 
본회의
23 

Length

Max length4
Median length4
Mean length3.7909091
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조례특위 87
79.1%
본회의 23
 
20.9%

Length

2023-12-12T08:42:29.089773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:42:29.194582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례특위 87
79.1%
본회의 23
 
20.9%

발의자
Categorical

Distinct20
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
박남규
18 
김영인
13 
김진권
11 
최영신
10 
조 혁
10 
Other values (15)
48 

Length

Max length4
Median length3
Mean length3.0090909
Min length3

Unique

Unique5 ?
Unique (%)4.5%

Sample

1st row이영수
2nd row박남규
3rd row박남규
4th row박남규
5th row박남규

Common Values

ValueCountFrequency (%)
박남규 18
16.4%
김영인 13
11.8%
김진권 11
10.0%
최영신 10
9.1%
조 혁 10
9.1%
김기두 9
8.2%
박용성 6
 
5.5%
신경철 5
 
4.5%
전재옥 5
 
4.5%
송낙문 5
 
4.5%
Other values (10) 18
16.4%

Length

2023-12-12T08:42:29.326856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
박남규 18
15.0%
김영인 13
10.8%
김진권 11
9.2%
최영신 10
8.3%
10
8.3%
10
8.3%
김기두 10
8.3%
박용성 6
 
5.0%
차윤선 5
 
4.2%
송낙문 5
 
4.2%
Other values (10) 22
18.3%
Distinct94
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T08:42:29.651814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length26.654545
Min length15

Characters and Unicode

Total characters2932
Distinct characters230
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)77.3%

Sample

1st row태안군 해상유류피해대책연합회 지원에 관한 조례안
2nd row태안군의회 공인조례 일부개정조례안
3rd row태안군의회 사무기구 설치 및 직원정수조례 일부개정조례안
4th row태안군의회의원 의정활동비 등 지급에 관한조례 일부개정조례안
5th row태안군의회 행정사무감사 및 조사에 관한 조례 일부개정조례안
ValueCountFrequency (%)
일부개정조례안 44
 
6.5%
관한 43
 
6.4%
태안군 39
 
5.8%
조례 36
 
5.3%
태안군의회 32
 
4.8%
30
 
4.5%
조례안 26
 
3.9%
태안군의회의원 12
 
1.8%
10
 
1.5%
지급에 9
 
1.3%
Other values (241) 392
58.2%
2023-12-12T08:42:30.230372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
567
19.3%
188
 
6.4%
130
 
4.4%
124
 
4.2%
117
 
4.0%
91
 
3.1%
88
 
3.0%
87
 
3.0%
68
 
2.3%
66
 
2.3%
Other values (220) 1406
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2358
80.4%
Space Separator 567
 
19.3%
Other Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%
Final Punctuation 1
 
< 0.1%
Initial Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
188
 
8.0%
130
 
5.5%
124
 
5.3%
117
 
5.0%
91
 
3.9%
88
 
3.7%
87
 
3.7%
68
 
2.9%
66
 
2.8%
63
 
2.7%
Other values (214) 1336
56.7%
Space Separator
ValueCountFrequency (%)
567
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2358
80.4%
Common 574
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
188
 
8.0%
130
 
5.5%
124
 
5.3%
117
 
5.0%
91
 
3.9%
88
 
3.7%
87
 
3.7%
68
 
2.9%
66
 
2.8%
63
 
2.7%
Other values (214) 1336
56.7%
Common
ValueCountFrequency (%)
567
98.8%
· 2
 
0.3%
- 2
 
0.3%
1
 
0.2%
1
 
0.2%
8 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2358
80.4%
ASCII 570
 
19.4%
None 2
 
0.1%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
567
99.5%
- 2
 
0.4%
8 1
 
0.2%
Hangul
ValueCountFrequency (%)
188
 
8.0%
130
 
5.5%
124
 
5.3%
117
 
5.0%
91
 
3.9%
88
 
3.7%
87
 
3.7%
68
 
2.9%
66
 
2.8%
63
 
2.7%
Other values (214) 1336
56.7%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

처리
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
110 

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 (%)
110
100.0%

Length

2023-12-12T08:42:30.397941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:42:30.497301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
110
100.0%

이송일
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148956.35
Minimum80219
Maximum190730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:30.613503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80219
5-th percentile80424
Q1121101
median160426
Q3180227
95-th percentile190730
Maximum190730
Range110511
Interquartile range (IQR)59126

Descriptive statistics

Standard deviation37090.449
Coefficient of variation (CV)0.24900212
Kurtosis-0.75972309
Mean148956.35
Median Absolute Deviation (MAD)20786
Skewness-0.73697188
Sum16385199
Variance1.3757014 × 109
MonotonicityIncreasing
2023-12-12T08:42:30.812685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
80424 13
 
11.8%
190730 8
 
7.3%
160426 6
 
5.5%
181212 5
 
4.5%
150326 5
 
4.5%
190320 5
 
4.5%
170818 4
 
3.6%
121101 4
 
3.6%
180227 4
 
3.6%
190510 4
 
3.6%
Other values (36) 52
47.3%
ValueCountFrequency (%)
80219 1
 
0.9%
80424 13
11.8%
90325 2
 
1.8%
91022 1
 
0.9%
91119 2
 
1.8%
100802 1
 
0.9%
110215 1
 
0.9%
110322 1
 
0.9%
110630 1
 
0.9%
120518 1
 
0.9%
ValueCountFrequency (%)
190730 8
7.3%
190510 4
3.6%
190320 5
4.5%
190219 1
 
0.9%
181212 5
4.5%
181016 2
 
1.8%
180817 2
 
1.8%
180227 4
3.6%
171219 1
 
0.9%
171114 3
 
2.7%

공포일
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
-
23 
80516
13 
190809
181231
 
5
150414
 
5
Other values (28)
58 

Length

Max length6
Median length6
Mean length4.7909091
Min length1

Unique

Unique11 ?
Unique (%)10.0%

Sample

1st row80307
2nd row80516
3rd row80516
4th row80516
5th row80516

Common Values

ValueCountFrequency (%)
- 23
20.9%
80516 13
 
11.8%
190809 6
 
5.5%
181231 5
 
4.5%
150414 5
 
4.5%
190603 4
 
3.6%
190405 4
 
3.6%
121120 4
 
3.6%
160513 4
 
3.6%
180316 4
 
3.6%
Other values (23) 38
34.5%

Length

2023-12-12T08:42:30.960006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23
20.9%
80516 13
 
11.8%
190809 6
 
5.5%
181231 5
 
4.5%
150414 5
 
4.5%
190603 4
 
3.6%
190405 4
 
3.6%
121120 4
 
3.6%
180316 4
 
3.6%
160513 4
 
3.6%
Other values (23) 38
34.5%

비고
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
-
106 
5대
 
1
6대
 
1
7대
 
1
8대
 
1

Length

Max length2
Median length1
Mean length1.0363636
Min length1

Unique

Unique4 ?
Unique (%)3.6%

Sample

1st row5대
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 106
96.4%
5대 1
 
0.9%
6대 1
 
0.9%
7대 1
 
0.9%
8대 1
 
0.9%

Length

2023-12-12T08:42:31.453712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:42:31.612623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
106
96.4%
5대 1
 
0.9%
6대 1
 
0.9%
7대 1
 
0.9%
8대 1
 
0.9%

Interactions

2023-12-12T08:42:26.387322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:21.654551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.366037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.080047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.866243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.652777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:25.638645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.482157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:21.764016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.493030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.196959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.998332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.744573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:25.752105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.578025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:21.883023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.600936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.303417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.120045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.841322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:25.862269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.670087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:21.980002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.705030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.408681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.234384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.925734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:25.957142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.771487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.069506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.797498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.533716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.336879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:25.347514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.085232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.870245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.166141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.888938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.644159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.420300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:25.451632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.213282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.960326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.269032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:22.976210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:23.761569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:24.547708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:25.555238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:42:26.297418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:42:31.715225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회기의안번호제출일회부일상정일위원회발의자안 건 명이송일공포일비고
연번1.0000.9610.9750.9590.9590.9590.1270.8900.6570.9590.9550.057
회기0.9611.0000.9890.9790.9790.9790.5280.8990.9330.9790.9220.308
의안번호0.9750.9891.0000.9870.9870.9870.4260.9000.7970.9870.9610.433
제출일0.9590.9790.9871.0001.0001.0000.3400.8670.7881.0000.9360.777
회부일0.9590.9790.9871.0001.0001.0000.3400.8670.7881.0000.9360.777
상정일0.9590.9790.9871.0001.0001.0000.3400.8670.7881.0000.9360.777
위원회0.1270.5280.4260.3400.3400.3401.0000.0991.0000.3401.0000.060
발의자0.8900.8990.9000.8670.8670.8670.0991.0000.9600.8670.9110.300
안 건 명0.6570.9330.7970.7880.7880.7881.0000.9601.0000.7880.0000.000
이송일0.9590.9790.9871.0001.0001.0000.3400.8670.7881.0000.9360.777
공포일0.9550.9220.9610.9360.9360.9361.0000.9110.0000.9361.0000.813
비고0.0570.3080.4330.7770.7770.7770.0600.3000.0000.7770.8131.000
2023-12-12T08:42:31.908470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회공포일발의자비고
위원회1.0000.8440.0590.070
공포일0.8441.0000.4610.470
발의자0.0590.4611.0000.116
비고0.0700.4700.1161.000
2023-12-12T08:42:32.053462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회기의안번호제출일회부일상정일이송일위원회발의자공포일비고
연번1.0000.9991.0000.9990.9990.9990.9990.0890.4860.6630.000
회기0.9991.0000.9991.0001.0001.0001.0000.3940.4810.5680.134
의안번호1.0000.9991.0000.9990.9990.9990.9990.3180.4870.6800.214
제출일0.9991.0000.9991.0001.0001.0001.0000.2550.4510.6040.491
회부일0.9991.0000.9991.0001.0001.0001.0000.2550.4510.6040.491
상정일0.9991.0000.9991.0001.0001.0001.0000.2550.4510.6040.491
이송일0.9991.0000.9991.0001.0001.0001.0000.2550.4510.6040.491
위원회0.0890.3940.3180.2550.2550.2550.2551.0000.0590.8440.070
발의자0.4860.4810.4870.4510.4510.4510.4510.0591.0000.4610.116
공포일0.6630.5680.6800.6040.6040.6040.6040.8440.4611.0000.470
비고0.0000.1340.2140.4910.4910.4910.4910.0700.1160.4701.000

Missing values

2023-12-12T08:42:27.100232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:42:27.258306image/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

연번회기의안번호제출일회부일상정일위원회발의자안 건 명처리이송일공포일비고
01151939802018021280214조례특위이영수태안군 해상유류피해대책연합회 지원에 관한 조례안80219803075대
12153945804028040780415조례특위박남규태안군의회 공인조례 일부개정조례안8042480516-
23153946804028040780415조례특위박남규태안군의회 사무기구 설치 및 직원정수조례 일부개정조례안8042480516-
34153947804028040780415조례특위박남규태안군의회의원 의정활동비 등 지급에 관한조례 일부개정조례안8042480516-
45153948804028040780415조례특위박남규태안군의회 행정사무감사 및 조사에 관한 조례 일부개정조례안8042480516-
56153949804028040780415조례특위박남규태안군의회위원회조례 일부개정조례안8042480516-
67153950804028040780415조례특위박남규태안군의회에 출석 답변할 수 있는 관계공무원의 범위에 관한 조례 일부개정조례안8042480516-
78153951804028040780415조례특위박남규태안군의회의원 상해 등 보상금 지급에 관한 조례 일부개정조례안8042480516-
89153952804028040780415조례특위박남규태안군 결산감사위원 선임 및 운영에 관한조례 일부개정조례안8042480516-
910153953804028040780415조례특위박남규태안군의회 회기와 그 운영 등에 관한 조례 일부개정조례안8042480516-
연번회기의안번호제출일회부일상정일위원회발의자안 건 명처리이송일공포일비고
1001012592011190424190425190503조례특위박용성태안군 옥외광고물 등의 관리와 옥외광고산업 진흥 조례 일부개정조례안190510190603-
1011022592012190424190425190503조례특위김종욱태안군의회 결산검사위원 선임 및 운영에 관한 조례 일부개정조례안190510190603-
1021032612030190711190712190724조례특위박용성태안군 페농약 등의 수집 처리에 관한 조례안190730190809-
1031042612031190711190712190724조례특위김영인태안군의회 포상조례 일부개정조례안190730190809-
1041052612032190711190712190724조례특위김종욱태안군 수난구호 참여자 지원 조례 일부개정조례안190730190809-
1051062612033190711190712190724조례특위전재옥태안군의회 의원 윤리강령 및 윤리실천규범에 관한 조례 일부개정조례안190730190809-
1061072612034190711190712190724조례특위전재옥태안군 고령운전자 교통사고 예방을 위한 지원 조례안190730190809-
1071082612035190711190712190724조례특위김기두태안군의회 회의 규칙 일부개정규칙안190730190809-
1081092612037190718190719190726본회의김기두일본 정부의 경제보복에 대한 규탄 결의안190730--
1091102612038190726190729190730본회의박용성태안 영목-보령 원산도 간 교량 명칭 재심의 촉구 결의안190730--