Overview

Dataset statistics

Number of variables20
Number of observations2726
Missing cells9222
Missing cells (%)16.9%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory434.1 KiB
Average record size in memory163.0 B

Variable types

Numeric3
Text10
Categorical4
DateTime3

Dataset

Description경상남도 김해시 지방의회 의안정보에 대한 데이터로 의안번호,의안명,의안종류,발의일,발의자,소관위원회 등의 항목을 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15038022/fileData.do

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
대수 is highly overall correlated with 회기High correlation
회기 is highly overall correlated with 대수High correlation
처리결과 is highly overall correlated with 본회의 처리결과High correlation
본회의 처리결과 is highly overall correlated with 처리결과High correlation
처리결과 is highly imbalanced (50.0%)Imbalance
본회의 처리결과 is highly imbalanced (58.7%)Imbalance
의안번호 has 738 (27.1%) missing valuesMissing
회기 has 1202 (44.1%) missing valuesMissing
발의일 has 67 (2.5%) missing valuesMissing
발의자 has 300 (11.0%) missing valuesMissing
발의의원 has 2312 (84.8%) missing valuesMissing
위원회 회부일 has 695 (25.5%) missing valuesMissing
위원회 보고일 has 651 (23.9%) missing valuesMissing
위원회 상정일 has 651 (23.9%) missing valuesMissing
위원회 처리일 has 654 (24.0%) missing valuesMissing
심사보고 접수일 has 674 (24.7%) missing valuesMissing
본회의 회부일 has 310 (11.4%) missing valuesMissing
본회의 보고일 has 322 (11.8%) missing valuesMissing
본회의 상정일 has 323 (11.8%) missing valuesMissing
본회의 처리일 has 323 (11.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:37:19.424246
Analysis finished2023-12-12 10:37:23.191317
Duration3.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4856933
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.1 KiB
2023-12-12T19:37:23.243880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q38
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.2915034
Coefficient of variation (CV)0.41772357
Kurtosis-1.2556576
Mean5.4856933
Median Absolute Deviation (MAD)2
Skewness-0.36702659
Sum14954
Variance5.2509879
MonotonicityDecreasing
2023-12-12T19:37:23.368730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 770
28.2%
7 458
16.8%
4 418
15.3%
3 372
13.6%
6 280
 
10.3%
2 196
 
7.2%
1 124
 
4.5%
5 92
 
3.4%
9 16
 
0.6%
ValueCountFrequency (%)
1 124
 
4.5%
2 196
 
7.2%
3 372
13.6%
4 418
15.3%
5 92
 
3.4%
6 280
 
10.3%
7 458
16.8%
8 770
28.2%
9 16
 
0.6%
ValueCountFrequency (%)
9 16
 
0.6%
8 770
28.2%
7 458
16.8%
6 280
 
10.3%
5 92
 
3.4%
4 418
15.3%
3 372
13.6%
2 196
 
7.2%
1 124
 
4.5%

의안번호
Real number (ℝ)

MISSING 

Distinct316
Distinct (%)15.9%
Missing738
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean78.895875
Minimum1
Maximum328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.1 KiB
2023-12-12T19:37:23.538509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q129.75
median61
Q3101.25
95-th percentile224.65
Maximum328
Range327
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation68.125574
Coefficient of variation (CV)0.86348714
Kurtosis1.8392699
Mean78.895875
Median Absolute Deviation (MAD)34
Skewness1.433078
Sum156845
Variance4641.0938
MonotonicityNot monotonic
2023-12-12T19:37:23.687532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 19
 
0.7%
6 18
 
0.7%
27 18
 
0.7%
35 18
 
0.7%
34 18
 
0.7%
33 18
 
0.7%
32 18
 
0.7%
29 18
 
0.7%
13 18
 
0.7%
26 18
 
0.7%
Other values (306) 1807
66.3%
(Missing) 738
27.1%
ValueCountFrequency (%)
1 19
0.7%
2 18
0.7%
3 18
0.7%
4 18
0.7%
5 17
0.6%
6 18
0.7%
7 16
0.6%
8 17
0.6%
9 17
0.6%
10 17
0.6%
ValueCountFrequency (%)
328 1
< 0.1%
327 1
< 0.1%
326 1
< 0.1%
325 1
< 0.1%
324 1
< 0.1%
323 1
< 0.1%
322 1
< 0.1%
321 1
< 0.1%
320 1
< 0.1%
319 1
< 0.1%

회기
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct97
Distinct (%)6.4%
Missing1202
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean210.84777
Minimum146
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.1 KiB
2023-12-12T19:37:23.889648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum146
5-th percentile156.15
Q1188
median213
Q3232.25
95-th percentile241
Maximum2020
Range1874
Interquartile range (IQR)44.25

Descriptive statistics

Standard deviation85.039455
Coefficient of variation (CV)0.40332158
Kurtosis401.21674
Mean210.84777
Median Absolute Deviation (MAD)23
Skewness18.929451
Sum321332
Variance7231.7089
MonotonicityNot monotonic
2023-12-12T19:37:24.061199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
241 70
 
2.6%
188 61
 
2.2%
240 48
 
1.8%
236 43
 
1.6%
198 40
 
1.5%
231 39
 
1.4%
215 39
 
1.4%
239 35
 
1.3%
207 31
 
1.1%
214 28
 
1.0%
Other values (87) 1090
40.0%
(Missing) 1202
44.1%
ValueCountFrequency (%)
146 2
 
0.1%
147 6
 
0.2%
148 1
 
< 0.1%
149 3
 
0.1%
150 10
0.4%
151 14
0.5%
153 13
0.5%
154 15
0.6%
155 6
 
0.2%
156 7
0.3%
ValueCountFrequency (%)
2020 1
 
< 0.1%
2019 1
 
< 0.1%
2018 1
 
< 0.1%
247 3
 
0.1%
246 12
 
0.4%
245 1
 
< 0.1%
244 21
 
0.8%
243 17
 
0.6%
242 18
 
0.7%
241 70
2.6%

의안명
Text

Distinct2190
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
2023-12-12T19:37:24.370152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length51
Mean length24.292737
Min length4

Characters and Unicode

Total characters66222
Distinct characters506
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1986 ?
Unique (%)72.9%

Sample

1st row비음산터널 개통 촉구 결의안
2nd row2022년 제2회 추가경정예산안
3rd row김해시 읍면동리 명칭구역획정 및 읍면동장 정수 조례 일부개정조례안
4th row김해시 도시계획 조례 일부개정조례안
5th row김해시 도로점용료 징수 조례 일부개정조례안
ValueCountFrequency (%)
김해시 1239
 
10.2%
조례 921
 
7.6%
일부개정조례안 604
 
5.0%
및 581
 
4.8%
관한 451
 
3.7%
제정조례안 298
 
2.5%
설치 189
 
1.6%
운영 188
 
1.5%
동의안 150
 
1.2%
건 121
 
1.0%
Other values (2910) 7416
61.0%
2023-12-12T19:37:25.190183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9432
 
14.2%
조 3300
 
5.0%
례 3182
 
4.8%
시 2664
 
4.0%
안 2344
 
3.5%
정 2134
 
3.2%
해 2123
 
3.2%
김 2082
 
3.1%
의 1479
 
2.2%
개 1205
 
1.8%
Other values (496) 36277
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53419
80.7%
Space Separator 9432
 
14.2%
Decimal Number 1444
 
2.2%
Close Punctuation 806
 
1.2%
Open Punctuation 805
 
1.2%
Other Punctuation 165
 
0.2%
Dash Punctuation 73
 
0.1%
Uppercase Letter 50
 
0.1%
Final Punctuation 7
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other values (2) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 3300
 
6.2%
례 3182
 
6.0%
시 2664
 
5.0%
안 2344
 
4.4%
정 2134
 
4.0%
해 2123
 
4.0%
김 2082
 
3.9%
의 1479
 
2.8%
개 1205
 
2.3%
관 1100
 
2.1%
Other values (444) 31806
59.5%
Uppercase Letter
ValueCountFrequency (%)
L 8
16.0%
I 7
14.0%
T 7
14.0%
C 6
12.0%
N 4
8.0%
G 4
8.0%
B 3
 
6.0%
W 3
 
6.0%
S 2
 
4.0%
E 2
 
4.0%
Other values (4) 4
8.0%
Decimal Number
ValueCountFrequency (%)
2 381
26.4%
0 363
25.1%
1 248
17.2%
9 147
 
10.2%
3 58
 
4.0%
7 55
 
3.8%
8 50
 
3.5%
6 50
 
3.5%
5 49
 
3.4%
4 43
 
3.0%
Other Punctuation
ValueCountFrequency (%)
· 81
49.1%
' 29
 
17.6%
: 26
 
15.8%
, 26
 
15.8%
/ 2
 
1.2%
; 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
n 1
14.3%
i 1
14.3%
y 1
14.3%
e 1
14.3%
g 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 793
98.4%
」 9
 
1.1%
』 2
 
0.2%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 792
98.4%
「 9
 
1.1%
『 2
 
0.2%
[ 2
 
0.2%
Final Punctuation
ValueCountFrequency (%)
’ 4
57.1%
” 3
42.9%
Math Symbol
ValueCountFrequency (%)
~ 4
57.1%
∼ 3
42.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
57.1%
“ 3
42.9%
Space Separator
ValueCountFrequency (%)
9432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53419
80.7%
Common 12746
 
19.2%
Latin 57
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 3300
 
6.2%
례 3182
 
6.0%
시 2664
 
5.0%
안 2344
 
4.4%
정 2134
 
4.0%
해 2123
 
4.0%
김 2082
 
3.9%
의 1479
 
2.8%
개 1205
 
2.3%
관 1100
 
2.1%
Other values (444) 31806
59.5%
Common
ValueCountFrequency (%)
9432
74.0%
) 793
 
6.2%
( 792
 
6.2%
2 381
 
3.0%
0 363
 
2.8%
1 248
 
1.9%
9 147
 
1.2%
· 81
 
0.6%
- 73
 
0.6%
3 58
 
0.5%
Other values (22) 378
 
3.0%
Latin
ValueCountFrequency (%)
L 8
14.0%
I 7
12.3%
T 7
12.3%
C 6
10.5%
N 4
 
7.0%
G 4
 
7.0%
B 3
 
5.3%
W 3
 
5.3%
S 2
 
3.5%
l 2
 
3.5%
Other values (10) 11
19.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53287
80.5%
ASCII 12683
 
19.2%
Compat Jamo 132
 
0.2%
None 103
 
0.2%
Punctuation 14
 
< 0.1%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9432
74.4%
) 793
 
6.3%
( 792
 
6.2%
2 381
 
3.0%
0 363
 
2.9%
1 248
 
2.0%
9 147
 
1.2%
- 73
 
0.6%
3 58
 
0.5%
7 55
 
0.4%
Other values (32) 341
 
2.7%
Hangul
ValueCountFrequency (%)
조 3300
 
6.2%
례 3182
 
6.0%
시 2664
 
5.0%
안 2344
 
4.4%
정 2134
 
4.0%
해 2123
 
4.0%
김 2082
 
3.9%
의 1479
 
2.8%
개 1205
 
2.3%
관 1100
 
2.1%
Other values (442) 31674
59.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 131
99.2%
ㅊ 1
 
0.8%
None
ValueCountFrequency (%)
· 81
78.6%
」 9
 
8.7%
「 9
 
8.7%
『 2
 
1.9%
』 2
 
1.9%
Punctuation
ValueCountFrequency (%)
’ 4
28.6%
‘ 4
28.6%
“ 3
21.4%
” 3
21.4%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%

의안종류
Categorical

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
조례안
1693 
기타
473 
<NA>
204 
동의안
 
158
예산결산
 
82
Other values (5)
 
116

Length

Max length4
Median length3
Mean length2.9181952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row결의안
2nd row예산결산
3rd row조례안
4th row조례안
5th row조례안

Common Values

ValueCountFrequency (%)
조례안 1693
62.1%
기타 473
 
17.4%
<NA> 204
 
7.5%
동의안 158
 
5.8%
예산결산 82
 
3.0%
결의안 34
 
1.2%
규칙 31
 
1.1%
건의안 26
 
1.0%
승인안 20
 
0.7%
청원 5
 
0.2%

Length

2023-12-12T19:37:25.354926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:25.536359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례안 1693
62.1%
기타 473
 
17.4%
na 204
 
7.5%
동의안 158
 
5.8%
예산결산 82
 
3.0%
결의안 34
 
1.2%
규칙 31
 
1.1%
건의안 26
 
1.0%
승인안 20
 
0.7%
청원 5
 
0.2%

발의일
Text

MISSING 

Distinct496
Distinct (%)18.7%
Missing67
Missing (%)2.5%
Memory size21.4 KiB
2023-12-12T19:37:25.962440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9966153
Min length8

Characters and Unicode

Total characters26581
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)6.5%

Sample

1st row2022-08-10
2nd row2022-07-29
3rd row2022-07-29
4th row2022-07-06
5th row2022-07-06
ValueCountFrequency (%)
1995-05-10 124
 
4.7%
2015-11-19 52
 
2.0%
2021-11-12 45
 
1.7%
2021-10-01 45
 
1.7%
2021-04-15 43
 
1.6%
2018-11-12 38
 
1.4%
2020-09-04 35
 
1.3%
2016-11-16 35
 
1.3%
2021-08-27 34
 
1.3%
2020-04-17 30
 
1.1%
Other values (486) 2178
81.9%
2023-12-12T19:37:26.630124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6412
24.1%
- 5317
20.0%
1 4611
17.3%
2 4385
16.5%
9 1620
 
6.1%
5 856
 
3.2%
7 731
 
2.8%
3 704
 
2.6%
6 693
 
2.6%
8 638
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21264
80.0%
Dash Punctuation 5317
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6412
30.2%
1 4611
21.7%
2 4385
20.6%
9 1620
 
7.6%
5 856
 
4.0%
7 731
 
3.4%
3 704
 
3.3%
6 693
 
3.3%
8 638
 
3.0%
4 614
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 5317
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26581
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6412
24.1%
- 5317
20.0%
1 4611
17.3%
2 4385
16.5%
9 1620
 
6.1%
5 856
 
3.2%
7 731
 
2.8%
3 704
 
2.6%
6 693
 
2.6%
8 638
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6412
24.1%
- 5317
20.0%
1 4611
17.3%
2 4385
16.5%
9 1620
 
6.1%
5 856
 
3.2%
7 731
 
2.8%
3 704
 
2.6%
6 693
 
2.6%
8 638
 
2.4%

발의자
Text

MISSING 

Distinct152
Distinct (%)6.3%
Missing300
Missing (%)11.0%
Memory size21.4 KiB
2023-12-12T19:37:26.907924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length2
Mean length4.1046991
Min length2

Characters and Unicode

Total characters9958
Distinct characters130
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)3.4%

Sample

1st row김주섭 의원
2nd row김해시장
3rd row김해시장
4th row조종현 의원
5th row김진규 의원
ValueCountFrequency (%)
시장 998
31.4%
김해시장 676
21.2%
의원 401
12.6%
대표발의 292
 
9.2%
의장 237
 
7.4%
김종근 35
 
1.1%
김진규 35
 
1.1%
송유인 33
 
1.0%
박은희 26
 
0.8%
주정영 25
 
0.8%
Other values (116) 424
13.3%
2023-12-12T19:37:27.372972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1927
19.4%
시 1675
16.8%
의 994
10.0%
김 840
8.4%
756
 
7.6%
해 678
 
6.8%
원 480
 
4.8%
발 300
 
3.0%
대 294
 
3.0%
표 292
 
2.9%
Other values (120) 1722
17.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9129
91.7%
Space Separator 756
 
7.6%
Decimal Number 57
 
0.6%
Other Punctuation 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1927
21.1%
시 1675
18.3%
의 994
10.9%
김 840
9.2%
해 678
 
7.4%
원 480
 
5.3%
발 300
 
3.3%
대 294
 
3.2%
표 292
 
3.2%
정 90
 
1.0%
Other values (110) 1559
17.1%
Decimal Number
ValueCountFrequency (%)
4 16
28.1%
5 11
19.3%
3 10
17.5%
6 8
14.0%
7 5
 
8.8%
2 4
 
7.0%
1 3
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 15
93.8%
* 1
 
6.2%
Space Separator
ValueCountFrequency (%)
756
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9129
91.7%
Common 829
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1927
21.1%
시 1675
18.3%
의 994
10.9%
김 840
9.2%
해 678
 
7.4%
원 480
 
5.3%
발 300
 
3.3%
대 294
 
3.2%
표 292
 
3.2%
정 90
 
1.0%
Other values (110) 1559
17.1%
Common
ValueCountFrequency (%)
756
91.2%
4 16
 
1.9%
, 15
 
1.8%
5 11
 
1.3%
3 10
 
1.2%
6 8
 
1.0%
7 5
 
0.6%
2 4
 
0.5%
1 3
 
0.4%
* 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9126
91.6%
ASCII 829
 
8.3%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1927
21.1%
시 1675
18.4%
의 994
10.9%
김 840
9.2%
해 678
 
7.4%
원 480
 
5.3%
발 300
 
3.3%
대 294
 
3.2%
표 292
 
3.2%
정 90
 
1.0%
Other values (109) 1556
17.1%
ASCII
ValueCountFrequency (%)
756
91.2%
4 16
 
1.9%
, 15
 
1.8%
5 11
 
1.3%
3 10
 
1.2%
6 8
 
1.0%
7 5
 
0.6%
2 4
 
0.5%
1 3
 
0.4%
* 1
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

발의의원
Text

MISSING 

Distinct268
Distinct (%)64.7%
Missing2312
Missing (%)84.8%
Memory size21.4 KiB
2023-12-12T19:37:27.628494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length94
Mean length57.444444
Min length2

Characters and Unicode

Total characters23782
Distinct characters77
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

Unique207 ?
Unique (%)50.0%

Sample

1st row김동관, 박은희, 송유인, 조팔도, 이철훈, 김유상, 김창수, 조종현, 정준호, 최정헌, 류명열, 정희열, 안선환, 강영수, 주정영, 김진규, 김영서, 송재석, 최동석, 허윤옥, 김진일, 허수정, 배현주, 이미애
2nd row박은희, 송유인, 이철훈, 김창수, 정준호, 류명열, 안선환, 주정영, 김진규, 최동석, 허수정
3rd row박은희, 김유상, 김창수, 류명열, 김주섭, 안선환, 김영서, 송재석, 김진일, 배현주, 이미애
4th row김동관, 송유인, 조팔도, 이철훈, 김유상, 조종현, 김창수, 정준호, 최정헌, 류명열, 정희열, 김주섭, 안선환, 강영수, 주정영, 김진규, 김영서, 송재석, 최동석, 허윤옥, 김진일, 허수정, 배현주, 이미애
5th row송유인, 조팔도, 김형수, 김창수, 김희성, 조종현, 김종근 , 류명열, 정준호, 안선환, 주정영, 이광희, 최동석, 김명희, 황현재, 김진규, 박은희
ValueCountFrequency (%)
송유인 317
 
6.2%
박은희 278
 
5.4%
김창수 276
 
5.4%
김진규 273
 
5.3%
황현재 271
 
5.3%
정준호 264
 
5.2%
하성자 250
 
4.9%
주정영 233
 
4.6%
조종현 231
 
4.5%
최동석 229
 
4.5%
Other values (46) 2491
48.7%
2023-12-12T19:37:28.096633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4699
19.8%
, 4488
18.9%
김 1540
 
6.5%
희 848
 
3.6%
정 817
 
3.4%
현 507
 
2.1%
호 472
 
2.0%
수 464
 
2.0%
성 454
 
1.9%
종 444
 
1.9%
Other values (67) 9049
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14595
61.4%
Space Separator 4699
 
19.8%
Other Punctuation 4488
 
18.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1540
 
10.6%
희 848
 
5.8%
정 817
 
5.6%
현 507
 
3.5%
호 472
 
3.2%
수 464
 
3.2%
성 454
 
3.1%
종 444
 
3.0%
조 419
 
2.9%
이 391
 
2.7%
Other values (65) 8239
56.5%
Space Separator
ValueCountFrequency (%)
4699
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4488
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14595
61.4%
Common 9187
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1540
 
10.6%
희 848
 
5.8%
정 817
 
5.6%
현 507
 
3.5%
호 472
 
3.2%
수 464
 
3.2%
성 454
 
3.1%
종 444
 
3.0%
조 419
 
2.9%
이 391
 
2.7%
Other values (65) 8239
56.5%
Common
ValueCountFrequency (%)
4699
51.1%
, 4488
48.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14595
61.4%
ASCII 9187
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4699
51.1%
, 4488
48.9%
Hangul
ValueCountFrequency (%)
김 1540
 
10.6%
희 848
 
5.8%
정 817
 
5.6%
현 507
 
3.5%
호 472
 
3.2%
수 464
 
3.2%
성 454
 
3.1%
종 444
 
3.0%
조 419
 
2.9%
이 391
 
2.7%
Other values (65) 8239
56.5%

소관위원회
Categorical

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
<NA>
853 
행정자치위원회
393 
사회산업위원회
380 
도시건설위원회
335 
총무위원회
274 
Other values (6)
491 

Length

Max length18
Median length7
Mean length5.9141599
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row행정자치위원회
3rd row행정자치위원회
4th row도시건설위원회
5th row도시건설위원회

Common Values

ValueCountFrequency (%)
<NA> 853
31.3%
행정자치위원회 393
14.4%
사회산업위원회 380
13.9%
도시건설위원회 335
 
12.3%
총무위원회 274
 
10.1%
산업건설위원회 164
 
6.0%
자치행정위원회 137
 
5.0%
의회운영위원회 127
 
4.7%
예산결산특별위원회 59
 
2.2%
김해신공항대책행정사무조사특별위원회 3
 
0.1%

Length

2023-12-12T19:37:28.280414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 853
31.3%
행정자치위원회 393
14.4%
사회산업위원회 380
13.9%
도시건설위원회 335
 
12.3%
총무위원회 274
 
10.1%
산업건설위원회 164
 
6.0%
자치행정위원회 137
 
5.0%
의회운영위원회 127
 
4.7%
예산결산특별위원회 59
 
2.2%
김해신공항대책행정사무조사특별위원회 3
 
0.1%

위원회 회부일
Text

MISSING 

Distinct301
Distinct (%)14.8%
Missing695
Missing (%)25.5%
Memory size21.4 KiB
2023-12-12T19:37:28.675261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.254062
Min length10

Characters and Unicode

Total characters20826
Distinct characters18
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)5.2%

Sample

1st row2022-07-29
2nd row2022-07-29
3rd row2022-07-06
4th row2022-07-06
5th row2022-07-06
ValueCountFrequency (%)
2015-11-19 52
 
2.6%
2021-10-01 45
 
2.2%
2021-04-15 43
 
2.1%
2021-11-12 41
 
2.0%
2018-11-12 38
 
1.9%
2016-11-16 37
 
1.8%
2021-08-27 33
 
1.6%
2020-09-04 32
 
1.6%
2020-04-17 30
 
1.5%
2018-10-18 28
 
1.4%
Other values (291) 1652
81.3%
2023-12-12T19:37:29.240530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5109
24.5%
- 4375
21.0%
2 3740
18.0%
1 3589
17.2%
9 816
 
3.9%
3 617
 
3.0%
7 549
 
2.6%
4 523
 
2.5%
8 507
 
2.4%
6 489
 
2.3%
Other values (8) 512
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16403
78.8%
Dash Punctuation 4375
 
21.0%
Other Punctuation 26
 
0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5109
31.1%
2 3740
22.8%
1 3589
21.9%
9 816
 
5.0%
3 617
 
3.8%
7 549
 
3.3%
4 523
 
3.2%
8 507
 
3.1%
6 489
 
3.0%
5 464
 
2.8%
Other Letter
ValueCountFrequency (%)
예 2
33.3%
결 2
33.3%
특 1
16.7%
위 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 4375
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20820
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5109
24.5%
- 4375
21.0%
2 3740
18.0%
1 3589
17.2%
9 816
 
3.9%
3 617
 
3.0%
7 549
 
2.6%
4 523
 
2.5%
8 507
 
2.4%
6 489
 
2.3%
Other values (4) 506
 
2.4%
Hangul
ValueCountFrequency (%)
예 2
33.3%
결 2
33.3%
특 1
16.7%
위 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20820
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5109
24.5%
- 4375
21.0%
2 3740
18.0%
1 3589
17.2%
9 816
 
3.9%
3 617
 
3.0%
7 549
 
2.6%
4 523
 
2.5%
8 507
 
2.4%
6 489
 
2.3%
Other values (4) 506
 
2.4%
Hangul
ValueCountFrequency (%)
예 2
33.3%
결 2
33.3%
특 1
16.7%
위 1
16.7%

위원회 보고일
Text

MISSING 

Distinct347
Distinct (%)16.7%
Missing651
Missing (%)23.9%
Memory size21.4 KiB
2023-12-12T19:37:29.646539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.343614
Min length10

Characters and Unicode

Total characters21463
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)6.1%

Sample

1st row2022-08-10
2nd row2022-08-10
3rd row2022-07-20
4th row2022-07-20
5th row2022-07-20
ValueCountFrequency (%)
2021-10-01 45
 
2.2%
2021-04-15 43
 
2.1%
2021-11-12 40
 
1.9%
2021-08-27 33
 
1.6%
2020-09-15 31
 
1.5%
2020-04-28 29
 
1.4%
2018-10-18 28
 
1.3%
2018-11-12 27
 
1.3%
2020-10-08 27
 
1.3%
2020-11-13 26
 
1.3%
Other values (337) 1746
84.1%
2023-12-12T19:37:30.269073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5164
24.1%
- 4504
21.0%
2 4056
18.9%
1 3684
17.2%
9 779
 
3.6%
3 622
 
2.9%
5 610
 
2.8%
4 538
 
2.5%
8 527
 
2.5%
7 485
 
2.3%
Other values (4) 494
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16901
78.7%
Dash Punctuation 4504
 
21.0%
Other Punctuation 48
 
0.2%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5164
30.6%
2 4056
24.0%
1 3684
21.8%
9 779
 
4.6%
3 622
 
3.7%
5 610
 
3.6%
4 538
 
3.2%
8 527
 
3.1%
7 485
 
2.9%
6 436
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 4504
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5164
24.1%
- 4504
21.0%
2 4056
18.9%
1 3684
17.2%
9 779
 
3.6%
3 622
 
2.9%
5 610
 
2.8%
4 538
 
2.5%
8 527
 
2.5%
7 485
 
2.3%
Other values (4) 494
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5164
24.1%
- 4504
21.0%
2 4056
18.9%
1 3684
17.2%
9 779
 
3.6%
3 622
 
2.9%
5 610
 
2.8%
4 538
 
2.5%
8 527
 
2.5%
7 485
 
2.3%
Other values (4) 494
 
2.3%

위원회 상정일
Text

MISSING 

Distinct355
Distinct (%)17.1%
Missing651
Missing (%)23.9%
Memory size21.4 KiB
2023-12-12T19:37:30.666985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.361446
Min length9

Characters and Unicode

Total characters21500
Distinct characters20
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)6.3%

Sample

1st row2022-08-10
2nd row2022-08-10
3rd row2022-07-20
4th row2022-07-20
5th row2022-07-20
ValueCountFrequency (%)
2021-10-14 47
 
2.3%
2021-04-28 40
 
1.9%
2018-11-22 34
 
1.6%
2021-09-08 32
 
1.5%
2020-09-15 31
 
1.5%
2020-04-28 28
 
1.3%
2018-10-30 28
 
1.3%
2020-10-20 26
 
1.3%
2021-12-20 25
 
1.2%
2021-11-23 24
 
1.2%
Other values (345) 1760
84.8%
2023-12-12T19:37:31.222279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5020
23.3%
- 4507
21.0%
2 4152
19.3%
1 3686
17.1%
9 850
 
4.0%
3 696
 
3.2%
4 610
 
2.8%
8 496
 
2.3%
5 495
 
2.3%
6 467
 
2.2%
Other values (10) 521
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16923
78.7%
Dash Punctuation 4507
 
21.0%
Other Punctuation 52
 
0.2%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Other Letter 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5020
29.7%
2 4152
24.5%
1 3686
21.8%
9 850
 
5.0%
3 696
 
4.1%
4 610
 
3.6%
8 496
 
2.9%
5 495
 
2.9%
6 467
 
2.8%
7 451
 
2.7%
Other Letter
ValueCountFrequency (%)
상 1
20.0%
임 1
20.0%
위 1
20.0%
원 1
20.0%
회 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 4507
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21495
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5020
23.4%
- 4507
21.0%
2 4152
19.3%
1 3686
17.1%
9 850
 
4.0%
3 696
 
3.2%
4 610
 
2.8%
8 496
 
2.3%
5 495
 
2.3%
6 467
 
2.2%
Other values (5) 516
 
2.4%
Hangul
ValueCountFrequency (%)
상 1
20.0%
임 1
20.0%
위 1
20.0%
원 1
20.0%
회 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21495
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5020
23.4%
- 4507
21.0%
2 4152
19.3%
1 3686
17.1%
9 850
 
4.0%
3 696
 
3.2%
4 610
 
2.8%
8 496
 
2.3%
5 495
 
2.3%
6 467
 
2.2%
Other values (5) 516
 
2.4%
Hangul
ValueCountFrequency (%)
상 1
20.0%
임 1
20.0%
위 1
20.0%
원 1
20.0%
회 1
20.0%

위원회 처리일
Text

MISSING 

Distinct363
Distinct (%)17.5%
Missing654
Missing (%)24.0%
Memory size21.4 KiB
2023-12-12T19:37:31.591372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.365347
Min length10

Characters and Unicode

Total characters21477
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)6.6%

Sample

1st row2022-08-10
2nd row2022-08-10
3rd row2022-07-20
4th row2022-07-20
5th row2022-07-20
ValueCountFrequency (%)
2021-10-14 47
 
2.3%
2021-04-28 40
 
1.9%
2021-09-08 32
 
1.5%
2020-09-15 30
 
1.4%
2018-11-01 27
 
1.3%
2021-12-20 27
 
1.3%
2020-10-20 26
 
1.3%
2020-11-24 24
 
1.2%
2019-10-23 23
 
1.1%
2021-11-23 23
 
1.1%
Other values (353) 1773
85.6%
2023-12-12T19:37:32.199722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4984
23.2%
- 4504
21.0%
2 4131
19.2%
1 3700
17.2%
9 876
 
4.1%
3 697
 
3.2%
4 595
 
2.8%
5 495
 
2.3%
6 479
 
2.2%
8 473
 
2.2%
Other values (12) 543
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16897
78.7%
Dash Punctuation 4504
 
21.0%
Other Punctuation 51
 
0.2%
Other Letter 11
 
0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4984
29.5%
2 4131
24.4%
1 3700
21.9%
9 876
 
5.2%
3 697
 
4.1%
4 595
 
3.5%
5 495
 
2.9%
6 479
 
2.8%
8 473
 
2.8%
7 467
 
2.8%
Other Letter
ValueCountFrequency (%)
예 2
18.2%
결 2
18.2%
산 2
18.2%
특 1
9.1%
별 1
9.1%
위 1
9.1%
원 1
9.1%
회 1
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 4504
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21466
99.9%
Hangul 11
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4984
23.2%
- 4504
21.0%
2 4131
19.2%
1 3700
17.2%
9 876
 
4.1%
3 697
 
3.2%
4 595
 
2.8%
5 495
 
2.3%
6 479
 
2.2%
8 473
 
2.2%
Other values (4) 532
 
2.5%
Hangul
ValueCountFrequency (%)
예 2
18.2%
결 2
18.2%
산 2
18.2%
특 1
9.1%
별 1
9.1%
위 1
9.1%
원 1
9.1%
회 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21466
99.9%
Hangul 11
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4984
23.2%
- 4504
21.0%
2 4131
19.2%
1 3700
17.2%
9 876
 
4.1%
3 697
 
3.2%
4 595
 
2.8%
5 495
 
2.3%
6 479
 
2.2%
8 473
 
2.2%
Other values (4) 532
 
2.5%
Hangul
ValueCountFrequency (%)
예 2
18.2%
결 2
18.2%
산 2
18.2%
특 1
9.1%
별 1
9.1%
위 1
9.1%
원 1
9.1%
회 1
9.1%

처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
처리-가결(원안)
1638 
기타
658 
처리-가결(수정)
239 
찬성
 
72
<NA>
 
66
Other values (5)
 
53

Length

Max length9
Median length9
Mean length6.9046222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row처리-가결(원안)
3rd row처리-가결(원안)
4th row처리-가결(원안)
5th row처리-가결(원안)

Common Values

ValueCountFrequency (%)
처리-가결(원안) 1638
60.1%
기타 658
24.1%
처리-가결(수정) 239
 
8.8%
찬성 72
 
2.6%
<NA> 66
 
2.4%
처리-채택 24
 
0.9%
보류 14
 
0.5%
처리-부결 9
 
0.3%
반대 4
 
0.1%
보고 2
 
0.1%

Length

2023-12-12T19:37:32.440073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:37:32.630718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처리-가결(원안 1638
60.1%
기타 658
24.1%
처리-가결(수정 239
 
8.8%
찬성 72
 
2.6%
na 66
 
2.4%
처리-채택 24
 
0.9%
보류 14
 
0.5%
처리-부결 9
 
0.3%
반대 4
 
0.1%
보고 2
 
0.1%

심사보고 접수일
Text

MISSING 

Distinct349
Distinct (%)17.0%
Missing674
Missing (%)24.7%
Memory size21.4 KiB
2023-12-12T19:37:33.088585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.261209
Min length4

Characters and Unicode

Total characters21056
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)5.8%

Sample

1st row2022-08-10
2nd row2022-08-10
3rd row2022-07-20
4th row2022-07-20
5th row2022-07-20
ValueCountFrequency (%)
2021-10-14 46
 
2.2%
2021-05-03 39
 
1.9%
2016-11-23 35
 
1.7%
2021-09-08 33
 
1.6%
2020-09-16 31
 
1.5%
2021-11-26 30
 
1.5%
2021-12-20 27
 
1.3%
2018-11-01 26
 
1.3%
2020-11-27 24
 
1.2%
2018-12-13 24
 
1.2%
Other values (337) 1737
84.6%
2023-12-12T19:37:33.718185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4872
23.1%
- 4418
21.0%
2 4043
19.2%
1 3662
17.4%
9 830
 
3.9%
3 700
 
3.3%
4 548
 
2.6%
6 548
 
2.6%
5 492
 
2.3%
7 477
 
2.3%
Other values (14) 466
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16575
78.7%
Dash Punctuation 4418
 
21.0%
Other Punctuation 36
 
0.2%
Other Letter 17
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4872
29.4%
2 4043
24.4%
1 3662
22.1%
9 830
 
5.0%
3 700
 
4.2%
4 548
 
3.3%
6 548
 
3.3%
5 492
 
3.0%
7 477
 
2.9%
8 403
 
2.4%
Other Letter
ValueCountFrequency (%)
원 3
17.6%
가 3
17.6%
결 3
17.6%
안 2
11.8%
위 2
11.8%
회 1
 
5.9%
특 1
 
5.9%
수 1
 
5.9%
정 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 34
94.4%
: 2
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 4418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21039
99.9%
Hangul 17
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4872
23.2%
- 4418
21.0%
2 4043
19.2%
1 3662
17.4%
9 830
 
3.9%
3 700
 
3.3%
4 548
 
2.6%
6 548
 
2.6%
5 492
 
2.3%
7 477
 
2.3%
Other values (5) 449
 
2.1%
Hangul
ValueCountFrequency (%)
원 3
17.6%
가 3
17.6%
결 3
17.6%
안 2
11.8%
위 2
11.8%
회 1
 
5.9%
특 1
 
5.9%
수 1
 
5.9%
정 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21039
99.9%
Hangul 17
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4872
23.2%
- 4418
21.0%
2 4043
19.2%
1 3662
17.4%
9 830
 
3.9%
3 700
 
3.3%
4 548
 
2.6%
6 548
 
2.6%
5 492
 
2.3%
7 477
 
2.3%
Other values (5) 449
 
2.1%
Hangul
ValueCountFrequency (%)
원 3
17.6%
가 3
17.6%
결 3
17.6%
안 2
11.8%
위 2
11.8%
회 1
 
5.9%
특 1
 
5.9%
수 1
 
5.9%
정 1
 
5.9%

본회의 회부일
Text

MISSING 

Distinct251
Distinct (%)10.4%
Missing310
Missing (%)11.4%
Memory size21.4 KiB
2023-12-12T19:37:34.126737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length10.133278
Min length8

Characters and Unicode

Total characters24482
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)2.2%

Sample

1st row2022-08-10
2nd row2022-08-10
3rd row2022-08-10
4th row2022-07-21
5th row2022-07-21
ValueCountFrequency (%)
2021-12-21 70
 
2.9%
2015-12-17 54
 
2.2%
2021-10-15 47
 
1.9%
2021-05-04 42
 
1.7%
2016-12-13 40
 
1.7%
2020-09-22 37
 
1.5%
2018-12-14 35
 
1.4%
2021-09-14 35
 
1.4%
2020-05-08 29
 
1.2%
2018-11-02 27
 
1.1%
Other values (241) 2000
82.8%
2023-12-12T19:37:34.742661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5893
24.1%
- 5115
20.9%
2 4702
19.2%
1 3992
16.3%
9 1029
 
4.2%
7 744
 
3.0%
5 709
 
2.9%
4 656
 
2.7%
3 629
 
2.6%
8 523
 
2.1%
Other values (2) 490
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19362
79.1%
Dash Punctuation 5115
 
20.9%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5893
30.4%
2 4702
24.3%
1 3992
20.6%
9 1029
 
5.3%
7 744
 
3.8%
5 709
 
3.7%
4 656
 
3.4%
3 629
 
3.2%
8 523
 
2.7%
6 485
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 5115
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24482
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5893
24.1%
- 5115
20.9%
2 4702
19.2%
1 3992
16.3%
9 1029
 
4.2%
7 744
 
3.0%
5 709
 
2.9%
4 656
 
2.7%
3 629
 
2.6%
8 523
 
2.1%
Other values (2) 490
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24482
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5893
24.1%
- 5115
20.9%
2 4702
19.2%
1 3992
16.3%
9 1029
 
4.2%
7 744
 
3.0%
5 709
 
2.9%
4 656
 
2.7%
3 629
 
2.6%
8 523
 
2.1%
Other values (2) 490
 
2.0%

본회의 보고일
Date

MISSING 

Distinct311
Distinct (%)12.9%
Missing322
Missing (%)11.8%
Memory size21.4 KiB
Minimum1998-02-10 00:00:00
Maximum2022-08-10 00:00:00
2023-12-12T19:37:34.967737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:35.182722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 상정일
Date

MISSING 

Distinct308
Distinct (%)12.8%
Missing323
Missing (%)11.8%
Memory size21.4 KiB
Minimum1998-02-10 00:00:00
Maximum2022-08-10 00:00:00
2023-12-12T19:37:35.383565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:35.602126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리일
Date

MISSING 

Distinct309
Distinct (%)12.9%
Missing323
Missing (%)11.8%
Memory size21.4 KiB
Minimum1998-02-10 00:00:00
Maximum2022-08-10 00:00:00
2023-12-12T19:37:35.805819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:36.024677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
처리-가결(원안)
1905 
기타
435 
처리-가결(수정)
233 
찬성
 
72
처리-채택
 
51
Other values (6)
 
30

Length

Max length9
Median length9
Mean length7.5634629
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row처리-채택
2nd row처리-가결(원안)
3rd row처리-가결(원안)
4th row처리-가결(원안)
5th row처리-가결(원안)

Common Values

ValueCountFrequency (%)
처리-가결(원안) 1905
69.9%
기타 435
 
16.0%
처리-가결(수정) 233
 
8.5%
찬성 72
 
2.6%
처리-채택 51
 
1.9%
<NA> 13
 
0.5%
처리-부결 7
 
0.3%
반대 4
 
0.1%
부결 3
 
0.1%
보고 2
 
0.1%

Length

2023-12-12T19:37:36.198751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
처리-가결(원안 1905
69.9%
기타 435
 
16.0%
처리-가결(수정 233
 
8.5%
찬성 72
 
2.6%
처리-채택 51
 
1.9%
na 13
 
0.5%
처리-부결 7
 
0.3%
반대 4
 
0.1%
부결 3
 
0.1%
보고 2
 
0.1%

Interactions

2023-12-12T19:37:21.611696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:20.807557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:21.218187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:21.750027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:20.953251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:21.349434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:21.890416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:21.091316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:37:21.477470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:37:36.336607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호회기의안종류소관위원회처리결과본회의 처리결과
대수1.0000.5130.0000.4530.7180.6830.579
의안번호0.5131.0000.0000.4230.5130.2860.201
회기0.0000.0001.0000.0000.0000.0000.000
의안종류0.4530.4230.0001.0000.6960.5930.499
소관위원회0.7180.5130.0000.6961.0000.4690.572
처리결과0.6830.2860.0000.5930.4691.0000.921
본회의 처리결과0.5790.2010.0000.4990.5720.9211.000
2023-12-12T19:37:36.472857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관위원회본회의 처리결과의안종류처리결과
소관위원회1.0000.2070.4080.246
본회의 처리결과0.2071.0000.2540.748
의안종류0.4080.2541.0000.226
처리결과0.2460.7480.2261.000
2023-12-12T19:37:36.603168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호회기의안종류소관위원회처리결과본회의 처리결과
대수1.0000.4830.9150.1590.4490.2800.309
의안번호0.4831.0000.2160.2070.2630.1340.097
회기0.9150.2161.0000.0000.0000.0000.000
의안종류0.1590.2070.0001.0000.4080.2260.254
소관위원회0.4490.2630.0000.4081.0000.2460.207
처리결과0.2800.1340.0000.2260.2461.0000.748
본회의 처리결과0.3090.0970.0000.2540.2070.7481.000

Missing values

2023-12-12T19:37:22.099626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:37:22.478701image/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.
2023-12-12T19:37:22.870108image/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

대수의안번호회기의안명의안종류발의일발의자발의의원소관위원회위원회 회부일위원회 보고일위원회 상정일위원회 처리일처리결과심사보고 접수일본회의 회부일본회의 보고일본회의 상정일본회의 처리일본회의 처리결과
0992247비음산터널 개통 촉구 결의안결의안2022-08-10김주섭 의원김동관, 박은희, 송유인, 조팔도, 이철훈, 김유상, 김창수, 조종현, 정준호, 최정헌, 류명열, 정희열, 안선환, 강영수, 주정영, 김진규, 김영서, 송재석, 최동석, 허윤옥, 김진일, 허수정, 배현주, 이미애<NA><NA><NA><NA><NA><NA><NA>2022-08-102022-08-102022-08-102022-08-10처리-채택
19872472022년 제2회 추가경정예산안예산결산2022-07-29김해시장<NA>행정자치위원회2022-07-292022-08-102022-08-102022-08-10처리-가결(원안)2022-08-102022-08-102022-08-102022-08-102022-08-10처리-가결(원안)
2988247김해시 읍면동리 명칭구역획정 및 읍면동장 정수 조례 일부개정조례안조례안2022-07-29김해시장<NA>행정자치위원회2022-07-292022-08-102022-08-102022-08-10처리-가결(원안)2022-08-102022-08-102022-08-102022-08-102022-08-10처리-가결(원안)
3982246김해시 도시계획 조례 일부개정조례안조례안2022-07-06조종현 의원박은희, 송유인, 이철훈, 김창수, 정준호, 류명열, 안선환, 주정영, 김진규, 최동석, 허수정도시건설위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)
4981246김해시 도로점용료 징수 조례 일부개정조례안조례안2022-07-06김진규 의원박은희, 김유상, 김창수, 류명열, 김주섭, 안선환, 김영서, 송재석, 김진일, 배현주, 이미애도시건설위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)
5980246김해시 자동차관리사업 등록기준에 관한 조례 제정조례안조례안2022-07-06김해시장<NA>도시건설위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)
6979246김해시 일반농산어촌개발사업 추진 및 중간지원조직 설치·운영에 관한 조례 일부개정조례안조례안2022-07-06김해시장<NA>도시건설위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)
7977246공공체육시설 관리위탁 동의안동의안2022-07-06김해시장<NA>사회산업위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)
8976246김해시 인재육성 장학재단 지원에 관한 조례 폐지조례안조례안2022-07-06김해시장<NA>사회산업위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)
9975246김해시 향토문화재 지정 및 관리 조례 일부개정조례안조례안2022-07-06김해시장<NA>사회산업위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)
대수의안번호회기의안명의안종류발의일발의자발의의원소관위원회위원회 회부일위원회 보고일위원회 상정일위원회 처리일처리결과심사보고 접수일본회의 회부일본회의 보고일본회의 상정일본회의 처리일본회의 처리결과
2716110<NA>김해시 위원회 실비 변상 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
271719<NA>김해시 조정위원회 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
271818<NA>김해시의회 의원 상해 등 보상금 지급에 관한 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
271917<NA>김해시 결산검사 위원 선임 및 운영에 관한 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
272016<NA>김해시의회 사무국의 설치 및 사무직원의 정수 등에 관한 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
272115<NA>김해시 의회 공인조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
272214<NA>김해시 의회에 출석·답변할수 있는 관계공무원의 범위에 관한 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
272313<NA>김해시의회 행정사무감사 및 조사에 관한 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
272412<NA>김해시의회 의원 일비 및 여비지급에 관한 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타
272511<NA>김해시 의회 위원회 조례조례안1995-05-10<NA><NA><NA><NA><NA><NA><NA>기타<NA><NA><NA><NA><NA>기타

Duplicate rows

Most frequently occurring

대수의안번호회기의안명의안종류발의일발의자발의의원소관위원회위원회 회부일위원회 보고일위원회 상정일위원회 처리일처리결과심사보고 접수일본회의 회부일본회의 보고일본회의 상정일본회의 처리일본회의 처리결과# duplicates
0464<NA>김해시의회의정활동비-회기수당및여비지급에관한조례일부계정조례(안)<NA>2005-09-02운영위원장<NA>의회운영위원회<NA><NA><NA><NA>기타<NA>2005-09-082005-09-082005-09-082005-09-08처리-가결(원안)2
1975246김해시 향토문화재 지정 및 관리 조례 일부개정조례안조례안2022-07-06김해시장<NA>사회산업위원회2022-07-062022-07-202022-07-202022-07-20처리-가결(원안)2022-07-202022-07-212022-07-212022-07-212022-07-21처리-가결(원안)2