Overview

Dataset statistics

Number of variables20
Number of observations1874
Missing cells9743
Missing cells (%)26.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory294.8 KiB
Average record size in memory161.1 B

Variable types

Categorical5
Numeric1
Text4
DateTime10

Dataset

Description예천군 지방의회 의안정보(의안번호, 의안명, 제출자, 발의일 , 본의회보고일, 본회의상정일, 본회의처리일, 본회의결과, 집행기관이송일, 공포번호, 공포일, 기준일자)
URLhttps://www.data.go.kr/data/15038055/fileData.do

Alerts

기준일자 has constant value ""Constant
의안번호 is highly overall correlated with 대수High correlation
대수 is highly overall correlated with 의안번호High correlation
위원회결과 is highly overall correlated with 본회의결과High correlation
본회의결과 is highly overall correlated with 위원회결과High correlation
소관특별위원회 is highly imbalanced (78.2%)Imbalance
위원회결과 is highly imbalanced (80.6%)Imbalance
본회의결과 is highly imbalanced (59.3%)Imbalance
위원회회부일 has 1624 (86.7%) missing valuesMissing
위원회보고일 has 1629 (86.9%) missing valuesMissing
위원회상정일 has 1629 (86.9%) missing valuesMissing
위원회처리일 has 1634 (87.2%) missing valuesMissing
심사보고일접수일 has 1813 (96.7%) missing valuesMissing
본회의보고일 has 21 (1.1%) missing valuesMissing
본회의상정일 has 24 (1.3%) missing valuesMissing
본회의처리일 has 25 (1.3%) missing valuesMissing
집행기관이송일 has 57 (3.0%) missing valuesMissing
공포번호 has 643 (34.3%) missing valuesMissing
공포일 has 641 (34.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:18:09.172087
Analysis finished2023-12-12 04:18:11.380899
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
7 대
344 
1 대
232 
3 대
230 
8대
227 
4 대
198 
Other values (5)
643 

Length

Max length3
Median length3
Mean length2.8313767
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9대
2nd row9대
3rd row9대
4th row9대
5th row9대

Common Values

ValueCountFrequency (%)
7 대 344
18.4%
1 대 232
12.4%
3 대 230
12.3%
8대 227
12.1%
4 대 198
10.6%
5 대 182
9.7%
6 대 163
8.7%
2 대 124
 
6.6%
9대 89
 
4.7%
8 대 85
 
4.5%

Length

2023-12-12T13:18:11.452242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:18:11.604648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 1558
45.4%
7 344
 
10.0%
1 232
 
6.8%
3 230
 
6.7%
8대 227
 
6.6%
4 198
 
5.8%
5 182
 
5.3%
6 163
 
4.7%
2 124
 
3.6%
9대 89
 
2.6%

의안번호
Real number (ℝ)

HIGH CORRELATION 

Distinct1292
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean537.79136
Minimum1
Maximum1297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2023-12-12T13:18:11.759345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47.65
Q1235
median469
Q3825.75
95-th percentile1203.35
Maximum1297
Range1296
Interquartile range (IQR)590.75

Descriptive statistics

Standard deviation364.75602
Coefficient of variation (CV)0.67824821
Kurtosis-0.9330017
Mean537.79136
Median Absolute Deviation (MAD)275
Skewness0.45664903
Sum1007821
Variance133046.96
MonotonicityNot monotonic
2023-12-12T13:18:11.892284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
487 3
 
0.2%
373 3
 
0.2%
316 2
 
0.1%
382 2
 
0.1%
384 2
 
0.1%
385 2
 
0.1%
386 2
 
0.1%
387 2
 
0.1%
388 2
 
0.1%
389 2
 
0.1%
Other values (1282) 1852
98.8%
ValueCountFrequency (%)
1 2
0.1%
2 2
0.1%
3 2
0.1%
4 2
0.1%
5 2
0.1%
6 2
0.1%
7 2
0.1%
8 2
0.1%
9 2
0.1%
10 2
0.1%
ValueCountFrequency (%)
1297 1
0.1%
1296 1
0.1%
1295 1
0.1%
1294 1
0.1%
1293 1
0.1%
1292 1
0.1%
1291 1
0.1%
1290 1
0.1%
1289 1
0.1%
1288 1
0.1%

의안명
Text

Distinct1484
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-12T13:18:12.107649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length49
Mean length21.989861
Min length4

Characters and Unicode

Total characters41209
Distinct characters397
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

Unique1328 ?
Unique (%)70.9%

Sample

1st row예천군의회 의원연구단체 구성 및 운영 조례 일부개정조례안
2nd row예천군 자살예방 및 생명존중문화 조성을 위한 조례안
3rd row예천군 장기요양요원 처우 개선 및 지위 향상에 관한 조례안
4th row예천군 착한가격업소 지원 및 관리에 관한 조례안
5th row예천군 군세 감면조례 일부개정조례안
ValueCountFrequency (%)
예천군 774
 
10.5%
조례 399
 
5.4%
일부개정조례안 364
 
4.9%
및 299
 
4.0%
관한 270
 
3.7%
조례안 232
 
3.1%
개정조례안 130
 
1.8%
설치 107
 
1.4%
조례중 106
 
1.4%
운영 103
 
1.4%
Other values (1884) 4607
62.3%
2023-12-12T13:18:12.532557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5519
 
13.4%
조 2215
 
5.4%
례 2142
 
5.2%
안 1728
 
4.2%
예 1542
 
3.7%
군 1411
 
3.4%
천 1369
 
3.3%
정 1281
 
3.1%
개 913
 
2.2%
관 784
 
1.9%
Other values (387) 22305
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33867
82.2%
Space Separator 5519
 
13.4%
Decimal Number 1490
 
3.6%
Other Punctuation 157
 
0.4%
Open Punctuation 86
 
0.2%
Close Punctuation 86
 
0.2%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 2215
 
6.5%
례 2142
 
6.3%
안 1728
 
5.1%
예 1542
 
4.6%
군 1411
 
4.2%
천 1369
 
4.0%
정 1281
 
3.8%
개 913
 
2.7%
관 784
 
2.3%
지 668
 
2.0%
Other values (364) 19814
58.5%
Decimal Number
ValueCountFrequency (%)
0 436
29.3%
2 418
28.1%
1 223
15.0%
9 163
 
10.9%
3 66
 
4.4%
6 43
 
2.9%
4 41
 
2.8%
5 34
 
2.3%
8 33
 
2.2%
7 33
 
2.2%
Other Punctuation
ValueCountFrequency (%)
' 73
46.5%
· 49
31.2%
. 28
 
17.8%
, 6
 
3.8%
? 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 85
98.8%
[ 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 85
98.8%
] 1
 
1.2%
Space Separator
ValueCountFrequency (%)
5519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
～ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33867
82.2%
Common 7341
 
17.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2215
 
6.5%
례 2142
 
6.3%
안 1728
 
5.1%
예 1542
 
4.6%
군 1411
 
4.2%
천 1369
 
4.0%
정 1281
 
3.8%
개 913
 
2.7%
관 784
 
2.3%
지 668
 
2.0%
Other values (364) 19814
58.5%
Common
ValueCountFrequency (%)
5519
75.2%
0 436
 
5.9%
2 418
 
5.7%
1 223
 
3.0%
9 163
 
2.2%
( 85
 
1.2%
) 85
 
1.2%
' 73
 
1.0%
3 66
 
0.9%
· 49
 
0.7%
Other values (12) 224
 
3.1%
Latin
ValueCountFrequency (%)
U 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33867
82.2%
ASCII 7292
 
17.7%
None 50
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5519
75.7%
0 436
 
6.0%
2 418
 
5.7%
1 223
 
3.1%
9 163
 
2.2%
( 85
 
1.2%
) 85
 
1.2%
' 73
 
1.0%
3 66
 
0.9%
6 43
 
0.6%
Other values (11) 181
 
2.5%
Hangul
ValueCountFrequency (%)
조 2215
 
6.5%
례 2142
 
6.3%
안 1728
 
5.1%
예 1542
 
4.6%
군 1411
 
4.2%
천 1369
 
4.0%
정 1281
 
3.8%
개 913
 
2.7%
관 784
 
2.3%
지 668
 
2.0%
Other values (364) 19814
58.5%
None
ValueCountFrequency (%)
· 49
98.0%
～ 1
 
2.0%

제출(발의)자
Text

Distinct173
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-12-12T13:18:12.807245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.7870864
Min length2

Characters and Unicode

Total characters8971
Distinct characters116
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)5.8%

Sample

1st row안양숙 의원 외 1인
2nd row신향순 의원 외 1인
3rd row신향순 의원 외 1인
4th row예천군수
5th row예천군수
ValueCountFrequency (%)
예천군수 1422
58.0%
외 178
 
7.3%
의원 143
 
5.8%
군수 134
 
5.5%
1인 67
 
2.7%
6인 37
 
1.5%
2명 24
 
1.0%
의원외 19
 
0.8%
정창우 16
 
0.7%
이형식 16
 
0.7%
Other values (128) 394
 
16.1%
2023-12-12T13:18:13.273151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 1583
17.6%
군 1564
17.4%
천 1430
15.9%
예 1425
15.9%
576
 
6.4%
의 308
 
3.4%
원 296
 
3.3%
외 278
 
3.1%
인 229
 
2.6%
1 92
 
1.0%
Other values (106) 1190
13.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8092
90.2%
Space Separator 576
 
6.4%
Decimal Number 299
 
3.3%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 1583
19.6%
군 1564
19.3%
천 1430
17.7%
예 1425
17.6%
의 308
 
3.8%
원 296
 
3.7%
외 278
 
3.4%
인 229
 
2.8%
이 71
 
0.9%
명 50
 
0.6%
Other values (94) 858
10.6%
Decimal Number
ValueCountFrequency (%)
1 92
30.8%
2 55
18.4%
6 51
17.1%
3 47
15.7%
4 23
 
7.7%
7 12
 
4.0%
5 9
 
3.0%
0 5
 
1.7%
9 3
 
1.0%
8 2
 
0.7%
Space Separator
ValueCountFrequency (%)
576
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8092
90.2%
Common 879
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 1583
19.6%
군 1564
19.3%
천 1430
17.7%
예 1425
17.6%
의 308
 
3.8%
원 296
 
3.7%
외 278
 
3.4%
인 229
 
2.8%
이 71
 
0.9%
명 50
 
0.6%
Other values (94) 858
10.6%
Common
ValueCountFrequency (%)
576
65.5%
1 92
 
10.5%
2 55
 
6.3%
6 51
 
5.8%
3 47
 
5.3%
4 23
 
2.6%
7 12
 
1.4%
5 9
 
1.0%
0 5
 
0.6%
. 4
 
0.5%
Other values (2) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8092
90.2%
ASCII 879
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 1583
19.6%
군 1564
19.3%
천 1430
17.7%
예 1425
17.6%
의 308
 
3.8%
원 296
 
3.7%
외 278
 
3.4%
인 229
 
2.8%
이 71
 
0.9%
명 50
 
0.6%
Other values (94) 858
10.6%
ASCII
ValueCountFrequency (%)
576
65.5%
1 92
 
10.5%
2 55
 
6.3%
6 51
 
5.8%
3 47
 
5.3%
4 23
 
2.6%
7 12
 
1.4%
5 9
 
1.0%
0 5
 
0.6%
. 4
 
0.5%
Other values (2) 5
 
0.6%

발의일(제출일)
Date

Distinct608
Distinct (%)32.5%
Missing3
Missing (%)0.2%
Memory size14.8 KiB
Minimum1991-04-15 00:00:00
Maximum2023-05-16 00:00:00
2023-12-12T13:18:13.465023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:13.616345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관특별위원회
Categorical

IMBALANCE 

Distinct26
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1576 
예산결산특별위원회
 
150
총무위원회
 
46
본회의
 
46
산업건설위원회
 
17
Other values (21)
 
39

Length

Max length20
Median length4
Mean length4.5213447
Min length3

Unique

Unique14 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1576
84.1%
예산결산특별위원회 150
 
8.0%
총무위원회 46
 
2.5%
본회의 46
 
2.5%
산업건설위원회 17
 
0.9%
각상임위원회 5
 
0.3%
특별위원회 5
 
0.3%
의회운영위원회 4
 
0.2%
예결특위 4
 
0.2%
윤리특별위원회 3
 
0.2%
Other values (16) 18
 
1.0%

Length

2023-12-12T13:18:13.806709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1576
83.9%
예산결산특별위원회 150
 
8.0%
총무위원회 46
 
2.4%
본회의 46
 
2.4%
산업건설위원회 17
 
0.9%
각상임위원회 5
 
0.3%
특별위원회 5
 
0.3%
의회운영위원회 4
 
0.2%
예결특위 4
 
0.2%
윤리특별위원회 3
 
0.2%
Other values (18) 23
 
1.2%

위원회회부일
Date

MISSING 

Distinct154
Distinct (%)61.6%
Missing1624
Missing (%)86.7%
Memory size14.8 KiB
Minimum1991-07-22 00:00:00
Maximum2023-04-18 00:00:00
2023-12-12T13:18:14.024999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:14.230055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회보고일
Date

MISSING 

Distinct152
Distinct (%)62.0%
Missing1629
Missing (%)86.9%
Memory size14.8 KiB
Minimum1991-05-18 00:00:00
Maximum2023-04-19 00:00:00
2023-12-12T13:18:14.417198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:14.597579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회상정일
Date

MISSING 

Distinct154
Distinct (%)62.9%
Missing1629
Missing (%)86.9%
Memory size14.8 KiB
Minimum1991-05-18 00:00:00
Maximum2023-04-19 00:00:00
2023-12-12T13:18:14.778324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:14.950997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회처리일
Date

MISSING 

Distinct130
Distinct (%)54.2%
Missing1634
Missing (%)87.2%
Memory size14.8 KiB
Minimum1991-05-18 00:00:00
Maximum2023-04-21 00:00:00
2023-12-12T13:18:15.123890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:15.360546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct23
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
<NA>
1645 
의결
 
85
수정의결
 
40
원안가결
 
36
원안의결
 
30
Other values (18)
 
38

Length

Max length29
Median length4
Mean length3.9466382
Min length2

Unique

Unique13 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1645
87.8%
의결 85
 
4.5%
수정의결 40
 
2.1%
원안가결 36
 
1.9%
원안의결 30
 
1.6%
수정가결 8
 
0.4%
조정의결 6
 
0.3%
승인 5
 
0.3%
부결 4
 
0.2%
원안승인 2
 
0.1%
Other values (13) 13
 
0.7%

Length

2023-12-12T13:18:15.524249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1645
87.4%
의결 85
 
4.5%
수정의결 40
 
2.1%
원안가결 36
 
1.9%
원안의결 30
 
1.6%
수정가결 8
 
0.4%
조정의결 6
 
0.3%
승인 5
 
0.3%
부결 4
 
0.2%
삭감 3
 
0.2%
Other values (20) 21
 
1.1%

심사보고일접수일
Date

MISSING 

Distinct31
Distinct (%)50.8%
Missing1813
Missing (%)96.7%
Memory size14.8 KiB
Minimum1995-12-21 00:00:00
Maximum2023-04-21 00:00:00
2023-12-12T13:18:15.685705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:15.867840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

본회의보고일
Text

MISSING 

Distinct442
Distinct (%)23.9%
Missing21
Missing (%)1.1%
Memory size14.8 KiB
2023-12-12T13:18:16.162208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.995143
Min length1

Characters and Unicode

Total characters18521
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

Unique119 ?
Unique (%)6.4%

Sample

1st row2023-05-26
2nd row2023-05-26
3rd row2023-05-26
4th row2023-05-18
5th row2023-05-18
ValueCountFrequency (%)
2021-12-20 25
 
1.3%
1999-03-12 24
 
1.3%
2015-11-11 22
 
1.2%
2015-10-20 18
 
1.0%
2001-04-07 16
 
0.9%
2000-07-10 16
 
0.9%
2017-10-19 16
 
0.9%
2016-05-09 16
 
0.9%
2015-11-17 15
 
0.8%
1993-07-03 14
 
0.8%
Other values (431) 1670
90.2%
2023-12-12T13:18:16.628899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3906
21.1%
- 3704
20.0%
1 3360
18.1%
2 3236
17.5%
9 1414
 
7.6%
3 612
 
3.3%
5 557
 
3.0%
7 518
 
2.8%
4 445
 
2.4%
6 405
 
2.2%
Other values (2) 364
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14816
80.0%
Dash Punctuation 3704
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3906
26.4%
1 3360
22.7%
2 3236
21.8%
9 1414
 
9.5%
3 612
 
4.1%
5 557
 
3.8%
7 518
 
3.5%
4 445
 
3.0%
6 405
 
2.7%
8 363
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 3704
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18521
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3906
21.1%
- 3704
20.0%
1 3360
18.1%
2 3236
17.5%
9 1414
 
7.6%
3 612
 
3.3%
5 557
 
3.0%
7 518
 
2.8%
4 445
 
2.4%
6 405
 
2.2%
Other values (2) 364
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3906
21.1%
- 3704
20.0%
1 3360
18.1%
2 3236
17.5%
9 1414
 
7.6%
3 612
 
3.3%
5 557
 
3.0%
7 518
 
2.8%
4 445
 
2.4%
6 405
 
2.2%
Other values (2) 364
 
2.0%

본회의상정일
Date

MISSING 

Distinct463
Distinct (%)25.0%
Missing24
Missing (%)1.3%
Memory size14.8 KiB
Minimum1991-04-16 00:00:00
Maximum2109-08-26 00:00:00
2023-12-12T13:18:16.765608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:16.913091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리일
Date

MISSING 

Distinct465
Distinct (%)25.1%
Missing25
Missing (%)1.3%
Memory size14.8 KiB
Minimum1991-04-16 00:00:00
Maximum2023-05-26 00:00:00
2023-12-12T13:18:17.038624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:17.166768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct44
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
원안의결
867 
원안가결
500 
의결
299 
수정의결
 
45
승인
 
36
Other values (39)
127 

Length

Max length15
Median length4
Mean length3.703842
Min length2

Unique

Unique25 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
원안의결 867
46.3%
원안가결 500
26.7%
의결 299
 
16.0%
수정의결 45
 
2.4%
승인 36
 
1.9%
<NA> 35
 
1.9%
원안승인 17
 
0.9%
가결 14
 
0.7%
수정가결 8
 
0.4%
조정의결 6
 
0.3%
Other values (34) 47
 
2.5%

Length

2023-12-12T13:18:17.291463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안의결 868
46.0%
원안가결 505
26.7%
의결 299
 
15.8%
수정의결 45
 
2.4%
승인 37
 
2.0%
na 35
 
1.9%
원안승인 17
 
0.9%
가결 14
 
0.7%
수정가결 8
 
0.4%
조정의결 6
 
0.3%
Other values (34) 54
 
2.9%

집행기관이송일
Date

MISSING 

Distinct458
Distinct (%)25.2%
Missing57
Missing (%)3.0%
Memory size14.8 KiB
Minimum1991-05-22 00:00:00
Maximum2023-05-26 00:00:00
2023-12-12T13:18:17.408787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:17.526899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Text

MISSING 

Distinct1221
Distinct (%)99.2%
Missing643
Missing (%)34.3%
Memory size14.8 KiB
2023-12-12T13:18:18.125104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length5.9699431
Min length1

Characters and Unicode

Total characters7349
Distinct characters23
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

Unique1211 ?
Unique (%)98.4%

Sample

1st row조례 제2560호
2nd row조례 제2559호
3rd row조례 제2558호
4th row조례 제2557호
5th row예천군의회 규칙 제27호
ValueCountFrequency (%)
조례 399
 
24.3%
규칙 5
 
0.3%
예천군의회 3
 
0.2%
의회규칙 3
 
0.2%
제1842호 2
 
0.1%
예천군의회규칙 2
 
0.1%
조레 2
 
0.1%
제2310호 2
 
0.1%
1398 2
 
0.1%
제2119호 2
 
0.1%
Other values (1216) 1223
74.3%
2023-12-12T13:18:18.570566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1006
13.7%
2 902
12.3%
제 594
 
8.1%
호 593
 
8.1%
4 449
 
6.1%
417
 
5.7%
5 413
 
5.6%
조 401
 
5.5%
3 399
 
5.4%
례 399
 
5.4%
Other values (13) 1776
24.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4890
66.5%
Other Letter 2042
27.8%
Space Separator 417
 
5.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 594
29.1%
호 593
29.0%
조 401
19.6%
례 399
19.5%
규 10
 
0.5%
칙 10
 
0.5%
의 9
 
0.4%
회 9
 
0.4%
예 5
 
0.2%
천 5
 
0.2%
Other values (2) 7
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1006
20.6%
2 902
18.4%
4 449
9.2%
5 413
8.4%
3 399
 
8.2%
7 346
 
7.1%
9 346
 
7.1%
8 343
 
7.0%
6 343
 
7.0%
0 343
 
7.0%
Space Separator
ValueCountFrequency (%)
417
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5307
72.2%
Hangul 2042
 
27.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 594
29.1%
호 593
29.0%
조 401
19.6%
례 399
19.5%
규 10
 
0.5%
칙 10
 
0.5%
의 9
 
0.4%
회 9
 
0.4%
예 5
 
0.2%
천 5
 
0.2%
Other values (2) 7
 
0.3%
Common
ValueCountFrequency (%)
1 1006
19.0%
2 902
17.0%
4 449
8.5%
417
7.9%
5 413
7.8%
3 399
 
7.5%
7 346
 
6.5%
9 346
 
6.5%
8 343
 
6.5%
6 343
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5307
72.2%
Hangul 2042
 
27.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1006
19.0%
2 902
17.0%
4 449
8.5%
417
7.9%
5 413
7.8%
3 399
 
7.5%
7 346
 
6.5%
9 346
 
6.5%
8 343
 
6.5%
6 343
 
6.5%
Hangul
ValueCountFrequency (%)
제 594
29.1%
호 593
29.0%
조 401
19.6%
례 399
19.5%
규 10
 
0.5%
칙 10
 
0.5%
의 9
 
0.4%
회 9
 
0.4%
예 5
 
0.2%
천 5
 
0.2%
Other values (2) 7
 
0.3%

공포일
Date

MISSING 

Distinct339
Distinct (%)27.5%
Missing641
Missing (%)34.2%
Memory size14.8 KiB
Minimum1991-08-09 00:00:00
Maximum2023-06-05 00:00:00
2023-12-12T13:18:18.724621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:18:18.874416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.8 KiB
2023-06-09
1874 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-09
2nd row2023-06-09
3rd row2023-06-09
4th row2023-06-09
5th row2023-06-09

Common Values

ValueCountFrequency (%)
2023-06-09 1874
100.0%

Length

2023-12-12T13:18:19.025474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:18:19.197544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-09 1874
100.0%

Interactions

2023-12-12T13:18:10.122639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:18:19.284311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호소관특별위원회위원회결과심사보고일접수일본회의결과
대수1.0000.9640.8090.7961.0000.792
의안번호0.9641.0000.7700.6790.9830.654
소관특별위원회0.8090.7701.0000.8560.8510.607
위원회결과0.7960.6790.8561.0000.9940.944
심사보고일접수일1.0000.9830.8510.9941.0000.978
본회의결과0.7920.6540.6070.9440.9781.000
2023-12-12T13:18:19.411443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관특별위원회대수본회의결과위원회결과
소관특별위원회1.0000.4310.2180.422
대수0.4311.0000.4120.434
본회의결과0.2180.4121.0000.669
위원회결과0.4220.4340.6691.000
2023-12-12T13:18:19.522863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호대수소관특별위원회위원회결과본회의결과
의안번호1.0000.6740.3870.3190.286
대수0.6741.0000.4310.4340.412
소관특별위원회0.3870.4311.0000.4220.218
위원회결과0.3190.4340.4221.0000.669
본회의결과0.2860.4120.2180.6691.000

Missing values

2023-12-12T13:18:10.290246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:18:10.577211image/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.
2023-12-12T13:18:11.151181image/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

대수의안번호의안명제출(발의)자발의일(제출일)소관특별위원회위원회회부일위원회보고일위원회상정일위원회처리일위원회결과심사보고일접수일본회의보고일본회의상정일본회의처리일본회의결과집행기관이송일공포번호공포일기준일자
09대1297예천군의회 의원연구단체 구성 및 운영 조례 일부개정조례안안양숙 의원 외 1인2023-05-16<NA><NA><NA><NA><NA><NA><NA>2023-05-262023-05-262023-05-26원안의결2023-05-26<NA><NA>2023-06-09
19대1296예천군 자살예방 및 생명존중문화 조성을 위한 조례안신향순 의원 외 1인2023-05-15<NA><NA><NA><NA><NA><NA><NA>2023-05-262023-05-262023-05-26원안의결2023-05-26<NA><NA>2023-06-09
29대1295예천군 장기요양요원 처우 개선 및 지위 향상에 관한 조례안신향순 의원 외 1인2023-05-15<NA><NA><NA><NA><NA><NA><NA>2023-05-262023-05-262023-05-26원안의결2023-05-26<NA><NA>2023-06-09
39대1294예천군 착한가격업소 지원 및 관리에 관한 조례안예천군수2023-05-12<NA><NA><NA><NA><NA><NA><NA>2023-05-182023-05-182023-05-18원안의결2023-05-19조례 제2560호2023-06-052023-06-09
49대1293예천군 군세 감면조례 일부개정조례안예천군수2023-05-12<NA><NA><NA><NA><NA><NA><NA>2023-05-182023-05-182023-05-18원안의결2023-05-19조례 제2559호2023-06-052023-06-09
59대1292예천군민상 조례 일부개정조례안예천군수2023-05-12<NA><NA><NA><NA><NA><NA><NA>2023-05-182023-05-182023-05-18원안의결2023-05-19조례 제2558호2023-06-052023-06-09
69대1291예천군 지방공무원 여비 조례 일부개정조례안예천군수2023-05-12<NA><NA><NA><NA><NA><NA><NA>2023-05-182023-05-182023-05-18원안의결2023-05-19조례 제2557호2023-06-052023-06-09
79대1290예천군의회 의원간담회 운영에 관한 규칙안강경탁 의원 외 2인2023-04-14<NA><NA><NA><NA><NA><NA><NA>2023-04-242023-04-242023-04-24원안의결2023-04-25예천군의회 규칙 제27호2023-04-252023-06-09
89대1289예천군 물가대책위원회 설치 및 운영에 관한 조례 일부개정조례안예천군수2023-04-13<NA><NA><NA><NA><NA><NA><NA>2023-04-182023-04-182023-04-18원안의결2023-04-18조례 제2554호2023-05-042023-06-09
99대1288예천군 물가대책위원회 설치 및 운영에 관한 조례 일부개정조례안예천군수2023-04-13<NA><NA><NA><NA><NA><NA><NA>2023-04-182023-04-182023-04-18원안의결2023-04-18조례 제2553호2023-05-042023-06-09
대수의안번호의안명제출(발의)자발의일(제출일)소관특별위원회위원회회부일위원회보고일위원회상정일위원회처리일위원회결과심사보고일접수일본회의보고일본회의상정일본회의처리일본회의결과집행기관이송일공포번호공포일기준일자
18641 대10예천군 공공용지에 편입된 사권제한 토지에 대한 종합토지세 불균일과세에 관한 조례개정군수1991-07-16<NA><NA><NA><NA><NA><NA><NA>1991-07-221991-07-221991-07-22개정/07-221991-07-2713461991-08-092023-06-09
18651 대9예천군도시공원의점용허가 및 녹지의 관리에 대한 조례군수1991-07-16특별위원회1991-07-221991-07-231991-07-231991-07-23의결<NA>1991-07-221991-07-221991-07-24의결/07-241991-07-2713451991-08-092023-06-09
18661 대8부군수및해당실과소장출석요구의 건이수필의원 외 71991-07-15<NA><NA><NA><NA><NA><NA><NA>1991-07-201991-07-201991-07-20가결/07-201991-07-21<NA><NA>2023-06-09
18671 대7예천군의회의원윤리강경의안김문한의원 외 121991-07-15<NA><NA><NA><NA><NA><NA><NA>1991-07-201991-07-201991-07-20가결/07-20<NA><NA><NA>2023-06-09
18681 대6군정에 관한 질문이수필의원 외 81991-07-13<NA><NA><NA><NA><NA><NA><NA>1991-07-201991-07-201991-07-20가결/07-20<NA><NA><NA>2023-06-09
18691 대5결산검사의원 선임의 건군수1991-07-11<NA><NA><NA><NA><NA><NA><NA>1991-07-201991-07-201991-07-20선임완료/07-20<NA><NA><NA>2023-06-09
18701 대4중기지방재정계획보고의 건군수1991-05-14<NA><NA>1991-05-181991-05-181991-05-18보고완료<NA><NA><NA><NA><NA><NA><NA><NA>2023-06-09
18711 대391군도 확포장사업 채무부담행위의결군수1991-05-14<NA><NA><NA><NA><NA><NA><NA>1991-05-181991-05-181991-05-18의결/05-181991-05-22<NA><NA>2023-06-09
18721 대2군정에관한실과소별 업무청취김중기 의원외 61991-05-10<NA><NA><NA><NA><NA><NA><NA>1991-05-161991-05-161991-05-18보고완료/05-18<NA><NA><NA>2023-06-09
18731 대1군정보고군수1991-04-15<NA><NA><NA><NA><NA><NA><NA>1991-04-161991-04-161991-04-16보고완료/04-16<NA><NA><NA>2023-06-09