Overview

Dataset statistics

Number of variables23
Number of observations1689
Missing cells5422
Missing cells (%)14.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory306.9 KiB
Average record size in memory186.1 B

Variable types

Numeric2
Categorical5
Text6
DateTime10

Dataset

Description충청북도 증평군 군의회의 의안정보(의안정보, 발의정보, 소관위원회, 본회의, 상정일, 처리일, 결과 등)입니다.
URLhttps://www.data.go.kr/data/15037897/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위원회결과 is highly imbalanced (53.5%)Imbalance
본회의결과 is highly imbalanced (74.8%)Imbalance
비고 is highly imbalanced (96.1%)Imbalance
위원회회부일 has 517 (30.6%) missing valuesMissing
위원회보고일 has 822 (48.7%) missing valuesMissing
위원회상정일 has 490 (29.0%) missing valuesMissing
위원회처리일 has 434 (25.7%) missing valuesMissing
심사보고접수일 has 707 (41.9%) missing valuesMissing
본회의회부일 has 430 (25.5%) missing valuesMissing
본회의상정일 has 103 (6.1%) missing valuesMissing
본회의처리일 has 43 (2.5%) missing valuesMissing
이송일 has 189 (11.2%) missing valuesMissing
공포일 has 1684 (99.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:37:36.941106
Analysis finished2023-12-12 17:37:37.749819
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4535228
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.0 KiB
2023-12-13T02:37:37.804654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5325461
Coefficient of variation (CV)0.44376314
Kurtosis-1.0800537
Mean3.4535228
Median Absolute Deviation (MAD)1
Skewness-0.21910061
Sum5833
Variance2.3486976
MonotonicityDecreasing
2023-12-13T02:37:37.935721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 399
23.6%
4 399
23.6%
3 283
16.8%
1 271
16.0%
2 225
13.3%
6 112
 
6.6%
ValueCountFrequency (%)
1 271
16.0%
2 225
13.3%
3 283
16.8%
4 399
23.6%
5 399
23.6%
6 112
 
6.6%
ValueCountFrequency (%)
6 112
 
6.6%
5 399
23.6%
4 399
23.6%
3 283
16.8%
2 225
13.3%
1 271
16.0%

의안번호
Real number (ℝ)

Distinct1680
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean845.27531
Minimum1
Maximum1688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.0 KiB
2023-12-13T02:37:38.101999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile85.4
Q1425
median844
Q31269
95-th percentile1604.6
Maximum1688
Range1687
Interquartile range (IQR)844

Descriptive statistics

Standard deviation487.45751
Coefficient of variation (CV)0.5766849
Kurtosis-1.1971745
Mean845.27531
Median Absolute Deviation (MAD)422
Skewness0.00033623799
Sum1427670
Variance237614.82
MonotonicityDecreasing
2023-12-13T02:37:38.266829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1037 2
 
0.1%
1334 2
 
0.1%
812 2
 
0.1%
1626 2
 
0.1%
674 2
 
0.1%
1438 2
 
0.1%
751 2
 
0.1%
1437 2
 
0.1%
929 2
 
0.1%
555 1
 
0.1%
Other values (1670) 1670
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1688 1
0.1%
1687 1
0.1%
1686 1
0.1%
1685 1
0.1%
1684 1
0.1%
1683 1
0.1%
1682 1
0.1%
1681 1
0.1%
1680 1
0.1%
1679 1
0.1%

의안종류
Categorical

Distinct14
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
조례안
1113 
동의안
121 
계획안
 
73
기타
 
64
결의안
 
62
Other values (9)
256 

Length

Max length4
Median length3
Mean length2.9893428
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row조례안
2nd row조례안
3rd row기타
4th row조례안
5th row동의안

Common Values

ValueCountFrequency (%)
조례안 1113
65.9%
동의안 121
 
7.2%
계획안 73
 
4.3%
기타 64
 
3.8%
결의안 62
 
3.7%
결산안 59
 
3.5%
승인안 48
 
2.8%
규칙안 40
 
2.4%
의견청취 36
 
2.1%
예산안 30
 
1.8%
Other values (4) 43
 
2.5%

Length

2023-12-13T02:37:38.476401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안 1113
65.9%
동의안 121
 
7.2%
계획안 73
 
4.3%
기타 64
 
3.8%
결의안 62
 
3.7%
결산안 59
 
3.5%
승인안 48
 
2.8%
규칙안 40
 
2.4%
의견청취 36
 
2.1%
예산안 30
 
1.8%
Other values (4) 43
 
2.5%
Distinct1369
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-13T02:37:38.887610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length23.020722
Min length7

Characters and Unicode

Total characters38882
Distinct characters392
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1221 ?
Unique (%)72.3%

Sample

1st row증평군의회 의원 의정활동비 등의 지급에 관한 조례 일부개정조례안
2nd row증평군의회 위원회 조례 일부개정조례안
3rd row증평군수 및 관계 공무원 출석요구의 건
4th row증평군 임업인 등의 육성 지원 조례안
5th row증평군 전기충전시설 설치를 위한 공유재산 내 영구시설물 축조 동의안
ValueCountFrequency (%)
증평군 930
 
11.6%
조례 568
 
7.1%
일부개정조례안 459
 
5.7%
조례안 331
 
4.1%
313
 
3.9%
관한 300
 
3.8%
전부개정조례안 155
 
1.9%
운영 146
 
1.8%
설치 124
 
1.6%
동의안 120
 
1.5%
Other values (1550) 4554
56.9%
2023-12-13T02:37:39.369520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6311
 
16.2%
1894
 
4.9%
1820
 
4.7%
1665
 
4.3%
1352
 
3.5%
1328
 
3.4%
1323
 
3.4%
1076
 
2.8%
724
 
1.9%
723
 
1.9%
Other values (382) 20666
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31054
79.9%
Space Separator 6311
 
16.2%
Decimal Number 1235
 
3.2%
Open Punctuation 93
 
0.2%
Close Punctuation 93
 
0.2%
Other Punctuation 80
 
0.2%
Uppercase Letter 9
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1894
 
6.1%
1820
 
5.9%
1665
 
5.4%
1352
 
4.4%
1328
 
4.3%
1323
 
4.3%
1076
 
3.5%
724
 
2.3%
723
 
2.3%
685
 
2.2%
Other values (354) 18464
59.5%
Decimal Number
ValueCountFrequency (%)
2 439
35.5%
0 382
30.9%
1 205
16.6%
3 53
 
4.3%
9 33
 
2.7%
7 28
 
2.3%
4 24
 
1.9%
5 24
 
1.9%
6 24
 
1.9%
8 23
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
L 2
22.2%
B 2
22.2%
C 1
11.1%
P 1
11.1%
T 1
11.1%
S 1
11.1%
A 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 35
43.8%
· 34
42.5%
, 7
 
8.8%
? 4
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 90
96.8%
3
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 90
96.8%
3
 
3.2%
Space Separator
ValueCountFrequency (%)
6311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31054
79.9%
Common 7819
 
20.1%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1894
 
6.1%
1820
 
5.9%
1665
 
5.4%
1352
 
4.4%
1328
 
4.3%
1323
 
4.3%
1076
 
3.5%
724
 
2.3%
723
 
2.3%
685
 
2.2%
Other values (354) 18464
59.5%
Common
ValueCountFrequency (%)
6311
80.7%
2 439
 
5.6%
0 382
 
4.9%
1 205
 
2.6%
( 90
 
1.2%
) 90
 
1.2%
3 53
 
0.7%
. 35
 
0.4%
· 34
 
0.4%
9 33
 
0.4%
Other values (11) 147
 
1.9%
Latin
ValueCountFrequency (%)
L 2
22.2%
B 2
22.2%
C 1
11.1%
P 1
11.1%
T 1
11.1%
S 1
11.1%
A 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31054
79.9%
ASCII 7788
 
20.0%
None 40
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6311
81.0%
2 439
 
5.6%
0 382
 
4.9%
1 205
 
2.6%
( 90
 
1.2%
) 90
 
1.2%
3 53
 
0.7%
. 35
 
0.4%
9 33
 
0.4%
7 28
 
0.4%
Other values (15) 122
 
1.6%
Hangul
ValueCountFrequency (%)
1894
 
6.1%
1820
 
5.9%
1665
 
5.4%
1352
 
4.4%
1328
 
4.3%
1323
 
4.3%
1076
 
3.5%
724
 
2.3%
723
 
2.3%
685
 
2.2%
Other values (354) 18464
59.5%
None
ValueCountFrequency (%)
· 34
85.0%
3
 
7.5%
3
 
7.5%
Distinct146
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-13T02:37:39.585960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length5.3428064
Min length3

Characters and Unicode

Total characters9024
Distinct characters100
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

Unique82 ?
Unique (%)4.9%

Sample

1st row기획행정위원회 위원장
2nd row기획행정위원회 위원장
3rd row이창규 의원 외 6명
4th row증평군수
5th row증평군수
ValueCountFrequency (%)
증평군수 1324
56.3%
의원 184
 
7.8%
177
 
7.5%
6명 84
 
3.6%
5명 49
 
2.1%
위원장 45
 
1.9%
기획행정위원회 40
 
1.7%
제출 38
 
1.6%
장천배 35
 
1.5%
윤해명 20
 
0.8%
Other values (94) 357
 
15.2%
2023-12-13T02:37:39.960476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1326
14.7%
1326
14.7%
1325
14.7%
1325
14.7%
664
 
7.4%
410
 
4.5%
262
 
2.9%
253
 
2.8%
194
 
2.1%
150
 
1.7%
Other values (90) 1789
19.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8106
89.8%
Space Separator 664
 
7.4%
Decimal Number 254
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1326
16.4%
1326
16.4%
1325
16.3%
1325
16.3%
410
 
5.1%
262
 
3.2%
253
 
3.1%
194
 
2.4%
150
 
1.9%
120
 
1.5%
Other values (84) 1415
17.5%
Decimal Number
ValueCountFrequency (%)
6 139
54.7%
5 99
39.0%
3 9
 
3.5%
4 6
 
2.4%
2 1
 
0.4%
Space Separator
ValueCountFrequency (%)
664
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8106
89.8%
Common 918
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1326
16.4%
1326
16.4%
1325
16.3%
1325
16.3%
410
 
5.1%
262
 
3.2%
253
 
3.1%
194
 
2.4%
150
 
1.9%
120
 
1.5%
Other values (84) 1415
17.5%
Common
ValueCountFrequency (%)
664
72.3%
6 139
 
15.1%
5 99
 
10.8%
3 9
 
1.0%
4 6
 
0.7%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8106
89.8%
ASCII 918
 
10.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1326
16.4%
1326
16.4%
1325
16.3%
1325
16.3%
410
 
5.1%
262
 
3.2%
253
 
3.1%
194
 
2.4%
150
 
1.9%
120
 
1.5%
Other values (84) 1415
17.5%
ASCII
ValueCountFrequency (%)
664
72.3%
6 139
 
15.1%
5 99
 
10.8%
3 9
 
1.0%
4 6
 
0.7%
2 1
 
0.1%
Distinct461
Distinct (%)27.3%
Missing3
Missing (%)0.2%
Memory size13.3 KiB
2023-12-13T02:37:40.228881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters16860
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

Unique192 ?
Unique (%)11.4%

Sample

1st row2023-06-26
2nd row2023-06-26
3rd row2023-06-19
4th row2023-06-13
5th row2023-06-13
ValueCountFrequency (%)
2003-11-08 106
 
6.3%
2021-12-10 27
 
1.6%
2015-11-18 17
 
1.0%
2017-12-08 17
 
1.0%
2015-06-08 16
 
0.9%
2015-09-07 16
 
0.9%
2016-12-08 15
 
0.9%
2015-10-02 15
 
0.9%
2016-11-18 15
 
0.9%
2012-06-15 14
 
0.8%
Other values (451) 1428
84.7%
2023-12-13T02:37:40.645456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4268
25.3%
- 3372
20.0%
1 3108
18.4%
2 2860
17.0%
3 562
 
3.3%
8 522
 
3.1%
9 479
 
2.8%
7 469
 
2.8%
5 409
 
2.4%
4 406
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13488
80.0%
Dash Punctuation 3372
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4268
31.6%
1 3108
23.0%
2 2860
21.2%
3 562
 
4.2%
8 522
 
3.9%
9 479
 
3.6%
7 469
 
3.5%
5 409
 
3.0%
4 406
 
3.0%
6 405
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 3372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4268
25.3%
- 3372
20.0%
1 3108
18.4%
2 2860
17.0%
3 562
 
3.3%
8 522
 
3.1%
9 479
 
2.8%
7 469
 
2.8%
5 409
 
2.4%
4 406
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4268
25.3%
- 3372
20.0%
1 3108
18.4%
2 2860
17.0%
3 562
 
3.3%
8 522
 
3.1%
9 479
 
2.8%
7 469
 
2.8%
5 409
 
2.4%
4 406
 
2.4%

소관위원회
Categorical

Distinct14
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
기획행정위원회
335 
본회의
299 
산업건설위원회
292 
운영내무위원회
259 
조례ㆍ규칙안심사특별위원회
217 
Other values (9)
287 

Length

Max length16
Median length7
Mean length7.1119005
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row본회의
2nd row본회의
3rd row본회의
4th row산업건설위원회
5th row산업건설위원회

Common Values

ValueCountFrequency (%)
기획행정위원회 335
19.8%
본회의 299
17.7%
산업건설위원회 292
17.3%
운영내무위원회 259
15.3%
조례ㆍ규칙안심사특별위원회 217
12.8%
예산결산특별위원회 139
8.2%
<NA> 114
 
6.7%
공유재산관리계획심사특별위원회 14
 
0.8%
현지조사특별위원회 12
 
0.7%
건설환경특별위원회 2
 
0.1%
Other values (4) 6
 
0.4%

Length

2023-12-13T02:37:40.819200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기획행정위원회 335
19.8%
본회의 299
17.7%
산업건설위원회 292
17.3%
운영내무위원회 259
15.3%
조례ㆍ규칙안심사특별위원회 217
12.8%
예산결산특별위원회 139
8.2%
na 114
 
6.7%
공유재산관리계획심사특별위원회 14
 
0.8%
현지조사특별위원회 12
 
0.7%
건설환경특별위원회 2
 
0.1%
Other values (4) 6
 
0.4%

위원회회부일
Date

MISSING 

Distinct281
Distinct (%)24.0%
Missing517
Missing (%)30.6%
Memory size13.3 KiB
Minimum2003-11-06 00:00:00
Maximum2023-06-14 00:00:00
2023-12-13T02:37:40.997712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:41.166563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회보고일
Date

MISSING 

Distinct219
Distinct (%)25.3%
Missing822
Missing (%)48.7%
Memory size13.3 KiB
Minimum2003-11-15 00:00:00
Maximum2019-04-25 00:00:00
2023-12-13T02:37:41.326073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:41.483072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회상정일
Date

MISSING 

Distinct287
Distinct (%)23.9%
Missing490
Missing (%)29.0%
Memory size13.3 KiB
Minimum2003-11-15 00:00:00
Maximum2203-11-17 00:00:00
2023-12-13T02:37:41.628510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:41.806216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회처리일
Date

MISSING 

Distinct295
Distinct (%)23.5%
Missing434
Missing (%)25.7%
Memory size13.3 KiB
Minimum2003-11-15 00:00:00
Maximum2023-06-26 00:00:00
2023-12-13T02:37:42.007647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:42.233201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회결과
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
원안가결
1142 
<NA>
441 
수정가결
 
76
기타
 
27
반려
 
2

Length

Max length4
Median length4
Mean length3.964476
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1142
67.6%
<NA> 441
 
26.1%
수정가결 76
 
4.5%
기타 27
 
1.6%
반려 2
 
0.1%
폐기 1
 
0.1%

Length

2023-12-13T02:37:42.475644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:42.672997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 1142
67.6%
na 441
 
26.1%
수정가결 76
 
4.5%
기타 27
 
1.6%
반려 2
 
0.1%
폐기 1
 
0.1%
Distinct219
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-13T02:37:42.978225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9508585
Min length5

Characters and Unicode

Total characters10051
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)2.9%

Sample

1st row제0회0차
2nd row제0회0차
3rd row제0회0차
4th row제185회1차
5th row제185회1차
ValueCountFrequency (%)
제0회0차 480
28.4%
제2회2차 39
 
2.3%
제2회3차 34
 
2.0%
제171회2차 31
 
1.8%
제2회4차 27
 
1.6%
제130회2차 19
 
1.1%
제75회1차 16
 
0.9%
제26회2차 15
 
0.9%
제2회5차 15
 
0.9%
제128회1차 15
 
0.9%
Other values (209) 998
59.1%
2023-12-13T02:37:43.549438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1689
16.8%
1689
16.8%
1689
16.8%
1 1543
15.4%
0 1108
11.0%
2 553
 
5.5%
3 377
 
3.8%
7 293
 
2.9%
4 283
 
2.8%
8 260
 
2.6%
Other values (3) 567
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5067
50.4%
Decimal Number 4984
49.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1543
31.0%
0 1108
22.2%
2 553
 
11.1%
3 377
 
7.6%
7 293
 
5.9%
4 283
 
5.7%
8 260
 
5.2%
5 221
 
4.4%
6 215
 
4.3%
9 131
 
2.6%
Other Letter
ValueCountFrequency (%)
1689
33.3%
1689
33.3%
1689
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5067
50.4%
Common 4984
49.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1543
31.0%
0 1108
22.2%
2 553
 
11.1%
3 377
 
7.6%
7 293
 
5.9%
4 283
 
5.7%
8 260
 
5.2%
5 221
 
4.4%
6 215
 
4.3%
9 131
 
2.6%
Hangul
ValueCountFrequency (%)
1689
33.3%
1689
33.3%
1689
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5067
50.4%
ASCII 4984
49.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1689
33.3%
1689
33.3%
1689
33.3%
ASCII
ValueCountFrequency (%)
1 1543
31.0%
0 1108
22.2%
2 553
 
11.1%
3 377
 
7.6%
7 293
 
5.9%
4 283
 
5.7%
8 260
 
5.2%
5 221
 
4.4%
6 215
 
4.3%
9 131
 
2.6%

심사보고접수일
Text

MISSING 

Distinct249
Distinct (%)25.4%
Missing707
Missing (%)41.9%
Memory size13.3 KiB
2023-12-13T02:37:44.021773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.001018
Min length10

Characters and Unicode

Total characters9821
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

Unique102 ?
Unique (%)10.4%

Sample

1st row2019-03-21
2nd row2019-03-25
3rd row2019-03-21
4th row2019-03-21
5th row2019-03-21
ValueCountFrequency (%)
2003-11-15 38
 
3.9%
2003-11-17 34
 
3.5%
2003-11-18 27
 
2.7%
2015-09-07 17
 
1.7%
2015-11-18 17
 
1.7%
2015-06-08 16
 
1.6%
2003-11-19 15
 
1.5%
2016-12-08 15
 
1.5%
2016-11-18 15
 
1.5%
2015-10-02 15
 
1.5%
Other values (239) 773
78.7%
2023-12-13T02:37:44.674145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2381
24.2%
- 1965
20.0%
1 1869
19.0%
2 1580
16.1%
5 353
 
3.6%
6 344
 
3.5%
3 312
 
3.2%
4 265
 
2.7%
7 264
 
2.7%
8 254
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7856
80.0%
Dash Punctuation 1965
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2381
30.3%
1 1869
23.8%
2 1580
20.1%
5 353
 
4.5%
6 344
 
4.4%
3 312
 
4.0%
4 265
 
3.4%
7 264
 
3.4%
8 254
 
3.2%
9 234
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1965
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9821
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2381
24.2%
- 1965
20.0%
1 1869
19.0%
2 1580
16.1%
5 353
 
3.6%
6 344
 
3.5%
3 312
 
3.2%
4 265
 
2.7%
7 264
 
2.7%
8 254
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9821
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2381
24.2%
- 1965
20.0%
1 1869
19.0%
2 1580
16.1%
5 353
 
3.6%
6 344
 
3.5%
3 312
 
3.2%
4 265
 
2.7%
7 264
 
2.7%
8 254
 
2.6%

본회의회부일
Date

MISSING 

Distinct234
Distinct (%)18.6%
Missing430
Missing (%)25.5%
Memory size13.3 KiB
Minimum2003-11-12 00:00:00
Maximum2207-12-26 00:00:00
2023-12-13T02:37:44.877928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:45.043338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의상정일
Date

MISSING 

Distinct274
Distinct (%)17.3%
Missing103
Missing (%)6.1%
Memory size13.3 KiB
Minimum2003-11-12 00:00:00
Maximum2023-06-27 00:00:00
2023-12-13T02:37:45.217263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:45.379566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리일
Date

MISSING 

Distinct281
Distinct (%)17.1%
Missing43
Missing (%)2.5%
Memory size13.3 KiB
Minimum2003-11-12 00:00:00
Maximum2023-06-27 00:00:00
2023-12-13T02:37:45.563042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:46.056756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의결과
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
원안가결
1483 
수정가결
 
108
<NA>
 
62
기타
 
14
철회
 
12
Other values (3)
 
10

Length

Max length4
Median length4
Mean length3.9573712
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1483
87.8%
수정가결 108
 
6.4%
<NA> 62
 
3.7%
기타 14
 
0.8%
철회 12
 
0.7%
보류 4
 
0.2%
반려 3
 
0.2%
폐기 3
 
0.2%

Length

2023-12-13T02:37:46.205893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:46.322693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 1483
87.8%
수정가결 108
 
6.4%
na 62
 
3.7%
기타 14
 
0.8%
철회 12
 
0.7%
보류 4
 
0.2%
반려 3
 
0.2%
폐기 3
 
0.2%
Distinct282
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
2023-12-13T02:37:46.580969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3735938
Min length5

Characters and Unicode

Total characters10765
Distinct characters14
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

Unique75 ?
Unique (%)4.4%

Sample

1st row제185회4차
2nd row제185회4차
3rd row제185회1차
4th row제185회4차
5th row제185회4차
ValueCountFrequency (%)
제2회3차 115
 
6.8%
제0회0차 50
 
3.0%
제171회4차 31
 
1.8%
제106회4차 22
 
1.3%
제119회4차 21
 
1.2%
제105회2차 20
 
1.2%
제130회4차 19
 
1.1%
제119회2차 19
 
1.1%
제102회2차 18
 
1.1%
제147회2차 17
 
1.0%
Other values (274) 1359
80.4%
2023-12-13T02:37:47.048542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1689
15.7%
1689
15.7%
1689
15.7%
1 1309
12.2%
2 1250
11.6%
4 624
 
5.8%
3 565
 
5.2%
0 378
 
3.5%
7 371
 
3.4%
8 354
 
3.3%
Other values (4) 847
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5696
52.9%
Other Letter 5067
47.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1309
23.0%
2 1250
21.9%
4 624
11.0%
3 565
9.9%
0 378
 
6.6%
7 371
 
6.5%
8 354
 
6.2%
6 322
 
5.7%
9 267
 
4.7%
5 256
 
4.5%
Other Letter
ValueCountFrequency (%)
1689
33.3%
1689
33.3%
1689
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5698
52.9%
Hangul 5067
47.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1309
23.0%
2 1250
21.9%
4 624
11.0%
3 565
9.9%
0 378
 
6.6%
7 371
 
6.5%
8 354
 
6.2%
6 322
 
5.7%
9 267
 
4.7%
5 256
 
4.5%
Hangul
ValueCountFrequency (%)
1689
33.3%
1689
33.3%
1689
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5698
52.9%
Hangul 5067
47.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1689
33.3%
1689
33.3%
1689
33.3%
ASCII
ValueCountFrequency (%)
1 1309
23.0%
2 1250
21.9%
4 624
11.0%
3 565
9.9%
0 378
 
6.6%
7 371
 
6.5%
8 354
 
6.2%
6 322
 
5.7%
9 267
 
4.7%
5 256
 
4.5%

이송일
Date

MISSING 

Distinct253
Distinct (%)16.9%
Missing189
Missing (%)11.2%
Memory size13.3 KiB
Minimum2001-05-30 00:00:00
Maximum2023-06-29 00:00:00
2023-12-13T02:37:47.199273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:47.356875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일
Date

MISSING 

Distinct3
Distinct (%)60.0%
Missing1684
Missing (%)99.7%
Memory size13.3 KiB
Minimum2009-01-01 00:00:00
Maximum2019-02-22 00:00:00
2023-12-13T02:37:47.483417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:47.580299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

비고
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
<NA>
1667 
제 74회 증평군의회임시회(제2차 본회의)
 
13
제74회 증평군의회 임시회 1차 본회의
 
2
의안번호 1308호 번안동의안 참고
 
1
지방재정법 제72조 제1항에 의거
 
1
Other values (5)
 
5

Length

Max length23
Median length4
Mean length4.1947898
Min length4

Unique

Unique7 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1667
98.7%
제 74회 증평군의회임시회(제2차 본회의) 13
 
0.8%
제74회 증평군의회 임시회 1차 본회의 2
 
0.1%
의안번호 1308호 번안동의안 참고 1
 
0.1%
지방재정법 제72조 제1항에 의거 1
 
0.1%
원안환송 1
 
0.1%
고건대통령권한대행 외 3인 1
 
0.1%
국회의장외6인 1
 
0.1%
원안번호 47 1
 
0.1%
원안번호 80 1
 
0.1%

Length

2023-12-13T02:37:47.707569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:47.850707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1667
95.5%
본회의 15
 
0.9%
74회 13
 
0.7%
증평군의회임시회(제2차 13
 
0.7%
13
 
0.7%
제74회 2
 
0.1%
증평군의회 2
 
0.1%
임시회 2
 
0.1%
1차 2
 
0.1%
원안번호 2
 
0.1%
Other values (15) 15
 
0.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.3 KiB
Minimum2023-07-07 00:00:00
Maximum2023-07-07 00:00:00
2023-12-13T02:37:47.981048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:37:48.112412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

의안번호의안종류안건명발의(제출)자발의(제출)일소관위원회위원회회부일위원회보고일위원회상정일위원회처리일위원회결과위원회회차수심사보고접수일본회의회부일본회의상정일본회의처리일본회의결과본회의회차수이송일공포일비고데이터기준일자
061688조례안증평군의회 의원 의정활동비 등의 지급에 관한 조례 일부개정조례안기획행정위원회 위원장2023-06-26본회의<NA><NA><NA><NA><NA>제0회0차<NA><NA>2023-06-272023-06-27원안가결제185회4차2023-06-29<NA><NA>2023-07-07
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