Overview

Dataset statistics

Number of variables12
Number of observations2934
Missing cells1732
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory283.8 KiB
Average record size in memory99.0 B

Variable types

Numeric3
Text4
DateTime2
Categorical3

Dataset

Description경상북도 울진군 의회 의안 정보(의안번호, 대수, 의안명, 발의자, 발의일자, 발의의원, 본회의처리일, 회수, 처리결과 등)를 제공합니다.
Author경상북도 울진군
URLhttps://www.data.go.kr/data/15038027/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
의안번호 is highly overall correlated with 대수 and 1 other fieldsHigh correlation
대수 is highly overall correlated with 의안번호 and 1 other fieldsHigh correlation
회기 is highly overall correlated with 의안번호 and 1 other fieldsHigh correlation
의안처리결과 is highly imbalanced (87.7%)Imbalance
발의의원 has 1689 (57.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:34:35.954209
Analysis finished2023-12-12 16:34:38.037972
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Real number (ℝ)

HIGH CORRELATION 

Distinct2933
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1481.0436
Minimum1
Maximum2966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.9 KiB
2023-12-13T01:34:38.101592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile147.65
Q1734.25
median1468.5
Q32231.75
95-th percentile2819.35
Maximum2966
Range2965
Interquartile range (IQR)1497.5

Descriptive statistics

Standard deviation860.43345
Coefficient of variation (CV)0.58096429
Kurtosis-1.2164211
Mean1481.0436
Median Absolute Deviation (MAD)749
Skewness0.0072640923
Sum4345382
Variance740345.73
MonotonicityNot monotonic
2023-12-13T01:34:38.214022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2391 2
 
0.1%
1 1
 
< 0.1%
1991 1
 
< 0.1%
1983 1
 
< 0.1%
1984 1
 
< 0.1%
1985 1
 
< 0.1%
1986 1
 
< 0.1%
1987 1
 
< 0.1%
1988 1
 
< 0.1%
1989 1
 
< 0.1%
Other values (2923) 2923
99.6%
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 (%)
2966 1
< 0.1%
2965 1
< 0.1%
2964 1
< 0.1%
2963 1
< 0.1%
2962 1
< 0.1%
2961 1
< 0.1%
2960 1
< 0.1%
2959 1
< 0.1%
2958 1
< 0.1%
2957 1
< 0.1%

대수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.959441
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.9 KiB
2023-12-13T01:34:38.313203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.4072409
Coefficient of variation (CV)0.48538552
Kurtosis-1.1480726
Mean4.959441
Median Absolute Deviation (MAD)2
Skewness-0.15748089
Sum14551
Variance5.7948086
MonotonicityIncreasing
2023-12-13T01:34:38.404129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 449
15.3%
8 438
14.9%
4 372
12.7%
5 372
12.7%
1 350
11.9%
3 325
11.1%
6 303
10.3%
2 216
7.4%
9 109
 
3.7%
ValueCountFrequency (%)
1 350
11.9%
2 216
7.4%
3 325
11.1%
4 372
12.7%
5 372
12.7%
6 303
10.3%
7 449
15.3%
8 438
14.9%
9 109
 
3.7%
ValueCountFrequency (%)
9 109
 
3.7%
8 438
14.9%
7 449
15.3%
6 303
10.3%
5 372
12.7%
4 372
12.7%
3 325
11.1%
2 216
7.4%
1 350
11.9%

회기
Real number (ℝ)

HIGH CORRELATION 

Distinct263
Distinct (%)9.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean149.45789
Minimum0
Maximum291
Zeros15
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size25.9 KiB
2023-12-13T01:34:38.518551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q188
median163
Q3214
95-th percentile254
Maximum291
Range291
Interquartile range (IQR)126

Descriptive statistics

Standard deviation76.049779
Coefficient of variation (CV)0.50883749
Kurtosis-1.0493817
Mean149.45789
Median Absolute Deviation (MAD)58
Skewness-0.365136
Sum438360
Variance5783.5689
MonotonicityNot monotonic
2023-12-13T01:34:38.632319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215 49
 
1.7%
254 49
 
1.7%
263 48
 
1.6%
208 37
 
1.3%
203 33
 
1.1%
214 32
 
1.1%
221 31
 
1.1%
151 30
 
1.0%
238 29
 
1.0%
243 28
 
1.0%
Other values (253) 2567
87.5%
ValueCountFrequency (%)
0 15
0.5%
1 1
 
< 0.1%
2 15
0.5%
3 9
 
0.3%
4 2
 
0.1%
5 9
 
0.3%
6 4
 
0.1%
7 25
0.9%
8 2
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
291 1
 
< 0.1%
263 48
1.6%
262 20
0.7%
261 17
 
0.6%
260 3
 
0.1%
259 8
 
0.3%
258 10
 
0.3%
257 3
 
0.1%
256 6
 
0.2%
255 7
 
0.2%

의안명
Text

Distinct2038
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
2023-12-13T01:34:39.114968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length44
Mean length19.544308
Min length4

Characters and Unicode

Total characters57343
Distinct characters429
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1818 ?
Unique (%)62.0%

Sample

1st row제1회울진군의회(임시회)회기결정의건
2nd row군청사증축에관한건
3rd row평해도시계획재정비의건
4th row북면도시계획재정비의건
5th row후포도시계획재정비의건
ValueCountFrequency (%)
울진군 581
 
7.5%
건 435
 
5.6%
일부개정조례안 294
 
3.8%
및 256
 
3.3%
조례안 215
 
2.8%
관한 177
 
2.3%
조례 164
 
2.1%
선임의 125
 
1.6%
휴회의건 105
 
1.4%
회의록 82
 
1.1%
Other values (2275) 5291
68.5%
2023-12-13T01:34:39.464995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4815
 
8.4%
의 2358
 
4.1%
조 2271
 
4.0%
례 2249
 
3.9%
회 1993
 
3.5%
정 1922
 
3.4%
군 1883
 
3.3%
안 1825
 
3.2%
진 1807
 
3.2%
울 1743
 
3.0%
Other values (419) 34477
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48923
85.3%
Space Separator 4815
 
8.4%
Decimal Number 2937
 
5.1%
Close Punctuation 249
 
0.4%
Open Punctuation 249
 
0.4%
Other Punctuation 141
 
0.2%
Uppercase Letter 25
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2358
 
4.8%
조 2271
 
4.6%
례 2249
 
4.6%
회 1993
 
4.1%
정 1922
 
3.9%
군 1883
 
3.8%
안 1825
 
3.7%
진 1807
 
3.7%
울 1743
 
3.6%
건 1273
 
2.6%
Other values (389) 29599
60.5%
Decimal Number
ValueCountFrequency (%)
2 747
25.4%
0 680
23.2%
1 558
19.0%
9 298
 
10.1%
3 143
 
4.9%
5 109
 
3.7%
4 109
 
3.7%
6 102
 
3.5%
8 98
 
3.3%
7 93
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 18
72.0%
O 1
 
4.0%
H 1
 
4.0%
I 1
 
4.0%
K 1
 
4.0%
L 1
 
4.0%
T 1
 
4.0%
B 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
· 111
78.7%
, 24
 
17.0%
. 5
 
3.5%
' 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 246
98.8%
」 3
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 246
98.8%
「 3
 
1.2%
Space Separator
ValueCountFrequency (%)
4815
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48923
85.3%
Common 8395
 
14.6%
Latin 25
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2358
 
4.8%
조 2271
 
4.6%
례 2249
 
4.6%
회 1993
 
4.1%
정 1922
 
3.9%
군 1883
 
3.8%
안 1825
 
3.7%
진 1807
 
3.7%
울 1743
 
3.6%
건 1273
 
2.6%
Other values (389) 29599
60.5%
Common
ValueCountFrequency (%)
4815
57.4%
2 747
 
8.9%
0 680
 
8.1%
1 558
 
6.6%
9 298
 
3.5%
) 246
 
2.9%
( 246
 
2.9%
3 143
 
1.7%
· 111
 
1.3%
5 109
 
1.3%
Other values (12) 442
 
5.3%
Latin
ValueCountFrequency (%)
C 18
72.0%
O 1
 
4.0%
H 1
 
4.0%
I 1
 
4.0%
K 1
 
4.0%
L 1
 
4.0%
T 1
 
4.0%
B 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48923
85.3%
ASCII 8302
 
14.5%
None 117
 
0.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4815
58.0%
2 747
 
9.0%
0 680
 
8.2%
1 558
 
6.7%
9 298
 
3.6%
) 246
 
3.0%
( 246
 
3.0%
3 143
 
1.7%
5 109
 
1.3%
4 109
 
1.3%
Other values (16) 351
 
4.2%
Hangul
ValueCountFrequency (%)
의 2358
 
4.8%
조 2271
 
4.6%
례 2249
 
4.6%
회 1993
 
4.1%
정 1922
 
3.9%
군 1883
 
3.8%
안 1825
 
3.7%
진 1807
 
3.7%
울 1743
 
3.6%
건 1273
 
2.6%
Other values (389) 29599
60.5%
None
ValueCountFrequency (%)
· 111
94.9%
「 3
 
2.6%
」 3
 
2.6%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

발의자
Text

Distinct346
Distinct (%)11.8%
Missing14
Missing (%)0.5%
Memory size23.1 KiB
2023-12-13T01:34:39.767409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length5.8547945
Min length2

Characters and Unicode

Total characters17096
Distinct characters114
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

Unique134 ?
Unique (%)4.6%

Sample

1st row의장
2nd row울진군수
3rd row울진군수
4th row울진군수
5th row울진군수
ValueCountFrequency (%)
울진군수 1600
43.4%
외 218
 
5.9%
외2 110
 
3.0%
2인 77
 
2.1%
의원 72
 
2.0%
2 72
 
2.0%
2명 71
 
1.9%
장용훈의원외2인 42
 
1.1%
1인 34
 
0.9%
김창오의원 31
 
0.8%
Other values (262) 1361
36.9%
2023-12-13T01:34:40.209136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 1694
 
9.9%
진 1673
 
9.8%
군 1606
 
9.4%
울 1604
 
9.4%
원 1243
 
7.3%
외 1241
 
7.3%
의 1212
 
7.1%
인 968
 
5.7%
768
 
4.5%
2 499
 
2.9%
Other values (104) 4588
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15082
88.2%
Decimal Number 1245
 
7.3%
Space Separator 768
 
4.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 1694
11.2%
진 1673
11.1%
군 1606
10.6%
울 1604
10.6%
원 1243
 
8.2%
외 1241
 
8.2%
의 1212
 
8.0%
인 968
 
6.4%
장 342
 
2.3%
김 241
 
1.6%
Other values (93) 3258
21.6%
Decimal Number
ValueCountFrequency (%)
2 499
40.1%
3 297
23.9%
7 81
 
6.5%
1 81
 
6.5%
5 77
 
6.2%
4 73
 
5.9%
8 72
 
5.8%
6 52
 
4.2%
9 13
 
1.0%
Space Separator
ValueCountFrequency (%)
768
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15082
88.2%
Common 2014
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 1694
11.2%
진 1673
11.1%
군 1606
10.6%
울 1604
10.6%
원 1243
 
8.2%
외 1241
 
8.2%
의 1212
 
8.0%
인 968
 
6.4%
장 342
 
2.3%
김 241
 
1.6%
Other values (93) 3258
21.6%
Common
ValueCountFrequency (%)
768
38.1%
2 499
24.8%
3 297
 
14.7%
7 81
 
4.0%
1 81
 
4.0%
5 77
 
3.8%
4 73
 
3.6%
8 72
 
3.6%
6 52
 
2.6%
9 13
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15082
88.2%
ASCII 2014
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 1694
11.2%
진 1673
11.1%
군 1606
10.6%
울 1604
10.6%
원 1243
 
8.2%
외 1241
 
8.2%
의 1212
 
8.0%
인 968
 
6.4%
장 342
 
2.3%
김 241
 
1.6%
Other values (93) 3258
21.6%
ASCII
ValueCountFrequency (%)
768
38.1%
2 499
24.8%
3 297
 
14.7%
7 81
 
4.0%
1 81
 
4.0%
5 77
 
3.8%
4 73
 
3.6%
8 72
 
3.6%
6 52
 
2.6%
9 13
 
0.6%

발의일자
Date

Distinct617
Distinct (%)21.1%
Missing5
Missing (%)0.2%
Memory size23.1 KiB
Minimum1991-04-15 00:00:00
Maximum2022-12-19 00:00:00
2023-12-13T01:34:40.393967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:40.536043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

Distinct20
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
기타
952 
조례안(개정)
860 
조례안(제정)
375 
예산안
192 
승인안
121 
Other values (15)
434 

Length

Max length7
Median length4
Mean length4.4117246
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row기타
2nd row기타
3rd row질문
4th row질문
5th row질문

Common Values

ValueCountFrequency (%)
기타 952
32.4%
조례안(개정) 860
29.3%
조례안(제정) 375
 
12.8%
예산안 192
 
6.5%
승인안 121
 
4.1%
결의안 101
 
3.4%
보고 71
 
2.4%
조례안(폐지) 49
 
1.7%
질문 48
 
1.6%
예산결산 40
 
1.4%
Other values (10) 125
 
4.3%

Length

2023-12-13T01:34:40.659967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 952
32.4%
조례안(개정 860
29.3%
조례안(제정 375
 
12.8%
예산안 192
 
6.5%
승인안 121
 
4.1%
결의안 101
 
3.4%
보고 71
 
2.4%
조례안(폐지 49
 
1.7%
질문 48
 
1.6%
예산결산 40
 
1.4%
Other values (10) 125
 
4.3%

발의의원
Text

MISSING 

Distinct55
Distinct (%)4.4%
Missing1689
Missing (%)57.6%
Memory size23.1 KiB
2023-12-13T01:34:40.888514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3735
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장덕열
2nd row황대운
3rd row황대운
4th row장성윤
5th row전인식
ValueCountFrequency (%)
장시원 69
 
5.5%
장용훈 63
 
5.1%
김창오 63
 
5.1%
정일순 57
 
4.6%
황유성 52
 
4.2%
장유덕 48
 
3.9%
김완수 45
 
3.6%
황대운 38
 
3.1%
안순자 36
 
2.9%
백정례 36
 
2.9%
Other values (45) 738
59.3%
2023-12-13T01:34:41.321332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 259
 
6.9%
김 237
 
6.3%
황 172
 
4.6%
정 127
 
3.4%
유 114
 
3.1%
성 113
 
3.0%
덕 99
 
2.7%
이 98
 
2.6%
원 97
 
2.6%
용 94
 
2.5%
Other values (71) 2325
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3735
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 259
 
6.9%
김 237
 
6.3%
황 172
 
4.6%
정 127
 
3.4%
유 114
 
3.1%
성 113
 
3.0%
덕 99
 
2.7%
이 98
 
2.6%
원 97
 
2.6%
용 94
 
2.5%
Other values (71) 2325
62.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3735
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 259
 
6.9%
김 237
 
6.3%
황 172
 
4.6%
정 127
 
3.4%
유 114
 
3.1%
성 113
 
3.0%
덕 99
 
2.7%
이 98
 
2.6%
원 97
 
2.6%
용 94
 
2.5%
Other values (71) 2325
62.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3735
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 259
 
6.9%
김 237
 
6.3%
황 172
 
4.6%
정 127
 
3.4%
유 114
 
3.1%
성 113
 
3.0%
덕 99
 
2.7%
이 98
 
2.6%
원 97
 
2.6%
용 94
 
2.5%
Other values (71) 2325
62.2%

본회의처리일
Text

Distinct602
Distinct (%)20.7%
Missing23
Missing (%)0.8%
Memory size23.1 KiB
2023-12-13T01:34:41.700916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters29110
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

Unique92 ?
Unique (%)3.2%

Sample

1st row1991-04-16
2nd row1991-05-24
3rd row1991-05-22
4th row1991-05-22
5th row1991-05-22
ValueCountFrequency (%)
2022-12-13 32
 
1.1%
2021-12-17 30
 
1.0%
2016-12-16 27
 
0.9%
2020-06-24 26
 
0.9%
2014-12-19 25
 
0.9%
2010-12-20 22
 
0.8%
2017-11-24 22
 
0.8%
2009-12-21 22
 
0.8%
2021-05-03 20
 
0.7%
2006-12-20 20
 
0.7%
Other values (592) 2665
91.5%
2023-12-13T01:34:42.213396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6346
21.8%
- 5822
20.0%
2 5185
17.8%
1 4898
16.8%
9 2214
 
7.6%
7 849
 
2.9%
5 829
 
2.8%
3 807
 
2.8%
4 795
 
2.7%
6 779
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23288
80.0%
Dash Punctuation 5822
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6346
27.3%
2 5185
22.3%
1 4898
21.0%
9 2214
 
9.5%
7 849
 
3.6%
5 829
 
3.6%
3 807
 
3.5%
4 795
 
3.4%
6 779
 
3.3%
8 586
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 5822
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29110
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6346
21.8%
- 5822
20.0%
2 5185
17.8%
1 4898
16.8%
9 2214
 
7.6%
7 849
 
2.9%
5 829
 
2.8%
3 807
 
2.8%
4 795
 
2.7%
6 779
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6346
21.8%
- 5822
20.0%
2 5185
17.8%
1 4898
16.8%
9 2214
 
7.6%
7 849
 
2.9%
5 829
 
2.8%
3 807
 
2.8%
4 795
 
2.7%
6 779
 
2.7%

회수
Categorical

Distinct18
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
1
1003 
2
786 
3
344 
4
160 
8
154 
Other values (13)
487 

Length

Max length10
Median length1
Mean length1.0371506
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row2
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1003
34.2%
2 786
26.8%
3 344
 
11.7%
4 160
 
5.5%
8 154
 
5.2%
7 119
 
4.1%
5 115
 
3.9%
9 80
 
2.7%
6 52
 
1.8%
10 38
 
1.3%
Other values (8) 83
 
2.8%

Length

2023-12-13T01:34:42.368455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 1003
34.2%
2 786
26.8%
3 344
 
11.7%
4 160
 
5.5%
8 154
 
5.2%
7 119
 
4.1%
5 115
 
3.9%
9 80
 
2.7%
6 52
 
1.8%
10 38
 
1.3%
Other values (9) 84
 
2.9%

의안처리결과
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
원안가결
2773 
<NA>
 
55
부결
 
33
수정가결
 
28
기타
 
13
Other values (8)
 
32

Length

Max length6
Median length4
Mean length3.9591002
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 2773
94.5%
<NA> 55
 
1.9%
부결 33
 
1.1%
수정가결 28
 
1.0%
기타 13
 
0.4%
유보 9
 
0.3%
보류 7
 
0.2%
수정의결 7
 
0.2%
의안채택 3
 
0.1%
원안찬성채택 3
 
0.1%
Other values (3) 3
 
0.1%

Length

2023-12-13T01:34:42.567263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 2773
94.5%
na 55
 
1.9%
부결 33
 
1.1%
수정가결 28
 
1.0%
기타 13
 
0.4%
유보 9
 
0.3%
보류 7
 
0.2%
수정의결 7
 
0.2%
의안채택 3
 
0.1%
원안찬성채택 3
 
0.1%
Other values (3) 3
 
0.1%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.1 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T01:34:42.738176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:42.887364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:34:37.410063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:36.817677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:37.073008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:37.493246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:36.901038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:37.163185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:37.579549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:36.985071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:34:37.286694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:34:43.024515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호대수회기구분발의의원회수의안처리결과
의안번호1.0000.9500.9780.3220.9370.4680.172
대수0.9501.0000.9560.3080.9740.4880.195
회기0.9780.9561.0000.3100.9540.4660.196
구분0.3220.3080.3101.0000.4120.5460.533
발의의원0.9370.9740.9540.4121.0000.3440.000
회수0.4680.4880.4660.5460.3441.0000.138
의안처리결과0.1720.1950.1960.5330.0000.1381.000
2023-12-13T01:34:43.165272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분회수의안처리결과
구분1.0000.1990.219
회수0.1991.0000.052
의안처리결과0.2190.0521.000
2023-12-13T01:34:43.266620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호대수회기구분회수의안처리결과
의안번호1.0000.9920.9870.1260.2020.073
대수0.9921.0000.9800.1250.2180.084
회기0.9870.9801.0000.1210.2020.083
구분0.1260.1250.1211.0000.1990.219
회수0.2020.2180.2020.1991.0000.052
의안처리결과0.0730.0840.0830.2190.0521.000

Missing values

2023-12-13T01:34:37.696071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:34:37.839440image/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.
2023-12-13T01:34:37.960160image/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

의안번호대수회기의안명발의자발의일자구분발의의원본회의처리일회수의안처리결과데이터 기준일자
0111제1회울진군의회(임시회)회기결정의건의장1991-04-15기타<NA>1991-04-162원안가결2022-12-31
1212군청사증축에관한건울진군수1991-05-16기타<NA>1991-05-243원안가결2022-12-31
2312평해도시계획재정비의건울진군수1991-05-16질문<NA>1991-05-221원안가결2022-12-31
3412북면도시계획재정비의건울진군수1991-05-16질문<NA>1991-05-221원안가결2022-12-31
4512후포도시계획재정비의건울진군수1991-05-16질문<NA>1991-05-221원안가결2022-12-31
5612군도확,포장사업채 채무부담승인의건울진군수1991-05-16승인안<NA>1991-05-243원안가결2022-12-31
6712평해상수도확장사업채기채승인의건울진군수1991-05-16승인안<NA>1991-05-243원안가결2022-12-31
7812농공단지조성사업채기채승인의건울진군수1991-05-16승인안<NA>1991-05-243원안가결2022-12-31
8912제2회울진군의회(임시회)회기결정의건장덕열의원외1인1991-05-20기타장덕열1991-05-221원안가결2022-12-31
91012관계공무원의출석요구의건황대운의원외 4인1991-05-20기타황대운1991-05-221원안가결2022-12-31
의안번호대수회기의안명발의자발의일자구분발의의원본회의처리일회수의안처리결과데이터 기준일자
292429579263울진군 체육진흥 조례 일부개정조례안울진군수2022-11-14조례안(개정)<NA>2022-12-132원안가결2022-12-31
292529589263울진마린CC 운영 및 관리 조례 일부개정조례안임동인 의원2022-12-08조례안(개정)임동인2022-12-132원안가결2022-12-31
2926295992632022년도 제2회 일반회계 및 기타특별회계 추가경정예산안울진군수2022-12-08예산안<NA>2022-12-153수정가결2022-12-31
2927296092632022년도 제2회 지방공기업 상수도사업 특별회계 추가경정 예산안울진군수2022-12-08예산안<NA>2022-12-153원안가결2022-12-31
2928296192632022년도 제2회 추가경정예산 기금운용계획 변경안울진군수2022-12-08기금<NA>2022-12-153원안가결2022-12-31
2929296292632022년도 울진군 출연(추가) 계획(안)울진군수2022-12-08동의안<NA>2022-12-132원안가결2022-12-31
293029639263의사일정 변경의 건김복남 의원 외 1인2022-12-08기타김복남2022-12-142원안가결2022-12-31
293129649263의사일정 변경의 건의장 제의2022-12-15기타임승필2022-12-153원안가결2022-12-31
2932296592632022년도 울진군 수시분 공유재산관리계획안울진군수2022-12-15기타<NA>2022-12-153원안가결2022-12-31
2933296692632022년 행정사무감사 결과 보고의 건황현철 의원 외 1인2022-12-19보고황현철2022-12-204원안가결2022-12-31