Overview

Dataset statistics

Number of variables14
Number of observations776
Missing cells4160
Missing cells (%)38.3%
Duplicate rows87
Duplicate rows (%)11.2%
Total size in memory85.8 KiB
Average record size in memory113.2 B

Variable types

Numeric1
Text11
Categorical2

Dataset

Description경상북도 달성군 지방의회 의한 현황에 대한 데이터로 대수, 의안명,의안 발의자,제출자,발의일,본회의 상정일,본회의 결과 등의 항목을 제공하고자 합니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15123768/fileData.do

Alerts

위원회(회부일) has constant value ""Constant
위원회(보고일) has constant value ""Constant
위원회(상정일) has constant value ""Constant
위원회(처리일) has constant value ""Constant
위원회(결과) has constant value ""Constant
Dataset has 87 (11.2%) duplicate rowsDuplicates
본회의(결과) is highly imbalanced (56.9%)Imbalance
위원회(회부일) has 775 (99.9%) missing valuesMissing
위원회(보고일) has 775 (99.9%) missing valuesMissing
위원회(상정일) has 775 (99.9%) missing valuesMissing
위원회(처리일) has 775 (99.9%) missing valuesMissing
위원회(결과) has 775 (99.9%) missing valuesMissing
본회의(처리일) has 55 (7.1%) missing valuesMissing
집행부 이송일 has 229 (29.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:06:59.734434
Analysis finished2023-12-12 10:07:01.701741
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Real number (ℝ)

Distinct653
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1448.8441
Minimum1019
Maximum2225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T19:07:01.820333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1019
5-th percentile1057.75
Q11212.75
median1314.5
Q31477.25
95-th percentile2186.25
Maximum2225
Range1206
Interquartile range (IQR)264.5

Descriptive statistics

Standard deviation372.89194
Coefficient of variation (CV)0.25737203
Kurtosis-0.21341638
Mean1448.8441
Median Absolute Deviation (MAD)132.5
Skewness1.1321698
Sum1124303
Variance139048.4
MonotonicityNot monotonic
2023-12-12T19:07:02.082173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1258 2
 
0.3%
1309 2
 
0.3%
1307 2
 
0.3%
1306 2
 
0.3%
1305 2
 
0.3%
1304 2
 
0.3%
1303 2
 
0.3%
1302 2
 
0.3%
1301 2
 
0.3%
1300 2
 
0.3%
Other values (643) 756
97.4%
ValueCountFrequency (%)
1019 1
0.1%
1020 1
0.1%
1021 1
0.1%
1022 1
0.1%
1023 1
0.1%
1024 1
0.1%
1025 1
0.1%
1026 1
0.1%
1027 1
0.1%
1028 1
0.1%
ValueCountFrequency (%)
2225 1
0.1%
2224 1
0.1%
2223 1
0.1%
2222 1
0.1%
2221 1
0.1%
2220 1
0.1%
2219 1
0.1%
2218 1
0.1%
2217 1
0.1%
2216 1
0.1%

의안명
Text

Distinct530
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T19:07:02.526629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length45
Mean length28.601804
Min length5

Characters and Unicode

Total characters22195
Distinct characters326
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique395 ?
Unique (%)50.9%

Sample

1st row대구광역시 달성군 수상이용시설 관리 및 운영 조례 일부개정조례안
2nd row군정 주요업무보고의 건
3rd row의장·부의장 선거의 건
4th row제297회 달성군의회(임시회) 회기 결정의 건
5th row제297회 달성군의회(임시회) 회의록 서명의원 선출의 건
ValueCountFrequency (%)
대구광역시 426
 
8.9%
달성군 387
 
8.0%
조례 290
 
6.0%
건 251
 
5.2%
일부개정조례안 246
 
5.1%
및 206
 
4.3%
관한 150
 
3.1%
조례안 112
 
2.3%
운영 73
 
1.5%
설치 72
 
1.5%
Other values (697) 2598
54.0%
2023-12-12T19:07:03.154938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4055
 
18.3%
조 727
 
3.3%
례 719
 
3.2%
의 611
 
2.8%
성 599
 
2.7%
시 597
 
2.7%
안 569
 
2.6%
군 559
 
2.5%
달 556
 
2.5%
정 543
 
2.4%
Other values (316) 12660
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16786
75.6%
Space Separator 4055
 
18.3%
Decimal Number 1002
 
4.5%
Open Punctuation 136
 
0.6%
Close Punctuation 136
 
0.6%
Other Punctuation 68
 
0.3%
Uppercase Letter 8
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 727
 
4.3%
례 719
 
4.3%
의 611
 
3.6%
성 599
 
3.6%
시 597
 
3.6%
안 569
 
3.4%
군 559
 
3.3%
달 556
 
3.3%
정 543
 
3.2%
회 541
 
3.2%
Other values (290) 10765
64.1%
Decimal Number
ValueCountFrequency (%)
2 336
33.5%
0 175
17.5%
1 170
17.0%
7 57
 
5.7%
6 55
 
5.5%
4 55
 
5.5%
3 53
 
5.3%
5 52
 
5.2%
9 26
 
2.6%
8 23
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
N 1
12.5%
A 1
12.5%
T 1
12.5%
I 1
12.5%
C 1
12.5%
P 1
12.5%
M 1
12.5%
Z 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 42
61.8%
· 12
 
17.6%
, 12
 
17.6%
? 2
 
2.9%
Space Separator
ValueCountFrequency (%)
4055
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16786
75.6%
Common 5401
 
24.3%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 727
 
4.3%
례 719
 
4.3%
의 611
 
3.6%
성 599
 
3.6%
시 597
 
3.6%
안 569
 
3.4%
군 559
 
3.3%
달 556
 
3.3%
정 543
 
3.2%
회 541
 
3.2%
Other values (290) 10765
64.1%
Common
ValueCountFrequency (%)
4055
75.1%
2 336
 
6.2%
0 175
 
3.2%
1 170
 
3.1%
( 136
 
2.5%
) 136
 
2.5%
7 57
 
1.1%
6 55
 
1.0%
4 55
 
1.0%
3 53
 
1.0%
Other values (8) 173
 
3.2%
Latin
ValueCountFrequency (%)
N 1
12.5%
A 1
12.5%
T 1
12.5%
I 1
12.5%
C 1
12.5%
P 1
12.5%
M 1
12.5%
Z 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16786
75.6%
ASCII 5397
 
24.3%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4055
75.1%
2 336
 
6.2%
0 175
 
3.2%
1 170
 
3.1%
( 136
 
2.5%
) 136
 
2.5%
7 57
 
1.1%
6 55
 
1.0%
4 55
 
1.0%
3 53
 
1.0%
Other values (15) 169
 
3.1%
Hangul
ValueCountFrequency (%)
조 727
 
4.3%
례 719
 
4.3%
의 611
 
3.6%
성 599
 
3.6%
시 597
 
3.6%
안 569
 
3.4%
군 559
 
3.3%
달 556
 
3.3%
정 543
 
3.2%
회 541
 
3.2%
Other values (290) 10765
64.1%
None
ValueCountFrequency (%)
· 12
100.0%

발의자 제출자
Text

Distinct97
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T19:07:03.424965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length2
Mean length3.5335052
Min length2

Characters and Unicode

Total characters2742
Distinct characters71
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

Unique62 ?
Unique (%)8.0%

Sample

1st row군수
2nd row군수
3rd row의장(직무대행)
4th row의장
5th row의장
ValueCountFrequency (%)
군수 457
48.1%
의장 148
 
15.6%
엄윤탁 30
 
3.2%
등 26
 
2.7%
구자학 26
 
2.7%
김성택 25
 
2.6%
신영희 25
 
2.6%
하중환 23
 
2.4%
김상영 23
 
2.4%
8인 20
 
2.1%
Other values (53) 147
 
15.5%
2023-12-12T19:07:03.868116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 457
16.7%
수 457
16.7%
169
 
6.2%
의 169
 
6.2%
장 168
 
6.1%
, 151
 
5.5%
김 78
 
2.8%
하 74
 
2.7%
영 69
 
2.5%
신 44
 
1.6%
Other values (61) 906
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2375
86.6%
Space Separator 169
 
6.2%
Other Punctuation 151
 
5.5%
Decimal Number 28
 
1.0%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Control 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 457
19.2%
수 457
19.2%
의 169
 
7.1%
장 168
 
7.1%
김 78
 
3.3%
하 74
 
3.1%
영 69
 
2.9%
신 44
 
1.9%
원 40
 
1.7%
윤 37
 
1.6%
Other values (51) 782
32.9%
Decimal Number
ValueCountFrequency (%)
8 20
71.4%
2 4
 
14.3%
1 2
 
7.1%
7 1
 
3.6%
6 1
 
3.6%
Space Separator
ValueCountFrequency (%)
169
100.0%
Other Punctuation
ValueCountFrequency (%)
, 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Control
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2375
86.6%
Common 367
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 457
19.2%
수 457
19.2%
의 169
 
7.1%
장 168
 
7.1%
김 78
 
3.3%
하 74
 
3.1%
영 69
 
2.9%
신 44
 
1.9%
원 40
 
1.7%
윤 37
 
1.6%
Other values (51) 782
32.9%
Common
ValueCountFrequency (%)
169
46.0%
, 151
41.1%
8 20
 
5.4%
) 7
 
1.9%
( 7
 
1.9%
5
 
1.4%
2 4
 
1.1%
1 2
 
0.5%
7 1
 
0.3%
6 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2375
86.6%
ASCII 367
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 457
19.2%
수 457
19.2%
의 169
 
7.1%
장 168
 
7.1%
김 78
 
3.3%
하 74
 
3.1%
영 69
 
2.9%
신 44
 
1.9%
원 40
 
1.7%
윤 37
 
1.6%
Other values (51) 782
32.9%
ASCII
ValueCountFrequency (%)
169
46.0%
, 151
41.1%
8 20
 
5.4%
) 7
 
1.9%
( 7
 
1.9%
5
 
1.4%
2 4
 
1.1%
1 2
 
0.5%
7 1
 
0.3%
6 1
 
0.3%

발의일제출일
Text

Distinct127
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T19:07:04.160879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9987113
Min length5

Characters and Unicode

Total characters4655
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

Unique28 ?
Unique (%)3.6%

Sample

1st row06.30.
2nd row06.30.
3rd row07.07.
4th row07.07.
5th row07.07.
ValueCountFrequency (%)
10.06 38
 
4.9%
08.30 34
 
4.4%
12.06 26
 
3.3%
12.07 25
 
3.2%
05.04 24
 
3.1%
06.09 23
 
3.0%
11.10 22
 
2.8%
09.15 21
 
2.7%
11.09 20
 
2.6%
08.25 17
 
2.2%
Other values (119) 528
67.9%
2023-12-12T19:07:04.586752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1550
33.3%
0 989
21.2%
1 837
18.0%
2 276
 
5.9%
3 193
 
4.1%
5 166
 
3.6%
9 151
 
3.2%
6 141
 
3.0%
4 139
 
3.0%
7 108
 
2.3%
Other values (2) 105
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3103
66.7%
Other Punctuation 1550
33.3%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 989
31.9%
1 837
27.0%
2 276
 
8.9%
3 193
 
6.2%
5 166
 
5.3%
9 151
 
4.9%
6 141
 
4.5%
4 139
 
4.5%
7 108
 
3.5%
8 103
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 1550
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4655
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1550
33.3%
0 989
21.2%
1 837
18.0%
2 276
 
5.9%
3 193
 
4.1%
5 166
 
3.6%
9 151
 
3.2%
6 141
 
3.0%
4 139
 
3.0%
7 108
 
2.3%
Other values (2) 105
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4655
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1550
33.3%
0 989
21.2%
1 837
18.0%
2 276
 
5.9%
3 193
 
4.1%
5 166
 
3.6%
9 151
 
3.2%
6 141
 
3.0%
4 139
 
3.0%
7 108
 
2.3%
Other values (2) 105
 
2.3%

위원회(회부일)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing775
Missing (%)99.9%
Memory size6.2 KiB
2023-12-12T19:07:04.746995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row10.20.
ValueCountFrequency (%)
10.20 1
100.0%
2023-12-12T19:07:05.052501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

위원회(보고일)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing775
Missing (%)99.9%
Memory size6.2 KiB
2023-12-12T19:07:05.211700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row10.20.
ValueCountFrequency (%)
10.20 1
100.0%
2023-12-12T19:07:05.528710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

위원회(상정일)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing775
Missing (%)99.9%
Memory size6.2 KiB
2023-12-12T19:07:05.682526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row10.20.
ValueCountFrequency (%)
10.20 1
100.0%
2023-12-12T19:07:06.047054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

위원회(처리일)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing775
Missing (%)99.9%
Memory size6.2 KiB
2023-12-12T19:07:06.213765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row10.20.
ValueCountFrequency (%)
10.20 1
100.0%
2023-12-12T19:07:06.628644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
50.0%
1 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2
33.3%
. 2
33.3%
1 1
16.7%
2 1
16.7%

위원회(결과)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing775
Missing (%)99.9%
Memory size6.2 KiB
2023-12-12T19:07:06.841457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row원안가결
ValueCountFrequency (%)
원안가결 1
100.0%
2023-12-12T19:07:07.173228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

본회의(보고일)
Text

Distinct84
Distinct (%)10.8%
Missing1
Missing (%)0.1%
Memory size6.2 KiB
2023-12-12T19:07:07.452623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9548387
Min length5

Characters and Unicode

Total characters4615
Distinct characters18
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

Unique29 ?
Unique (%)3.7%

Sample

1st row07.08.
2nd row07.08.
3rd row07.07.
4th row07.07.
5th row07.07.
ValueCountFrequency (%)
12.08 69
 
8.8%
05.11 43
 
5.5%
11.15 43
 
5.5%
09.02 42
 
5.3%
06.15 38
 
4.8%
12.8 34
 
4.3%
03.11 34
 
4.3%
10.11 30
 
3.8%
09.19 29
 
3.7%
10.13 27
 
3.4%
Other values (77) 397
50.5%
2023-12-12T19:07:07.890479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1539
33.3%
1 1010
21.9%
0 830
18.0%
2 342
 
7.4%
9 180
 
3.9%
8 165
 
3.6%
5 157
 
3.4%
6 127
 
2.8%
3 105
 
2.3%
7 78
 
1.7%
Other values (8) 82
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3059
66.3%
Other Punctuation 1539
33.3%
Space Separator 11
 
0.2%
Other Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1010
33.0%
0 830
27.1%
2 342
 
11.2%
9 180
 
5.9%
8 165
 
5.4%
5 157
 
5.1%
6 127
 
4.2%
3 105
 
3.4%
7 78
 
2.5%
4 65
 
2.1%
Other Letter
ValueCountFrequency (%)
본 1
16.7%
회 1
16.7%
의 1
16.7%
미 1
16.7%
상 1
16.7%
정 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 1539
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4609
99.9%
Hangul 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1539
33.4%
1 1010
21.9%
0 830
18.0%
2 342
 
7.4%
9 180
 
3.9%
8 165
 
3.6%
5 157
 
3.4%
6 127
 
2.8%
3 105
 
2.3%
7 78
 
1.7%
Other values (2) 76
 
1.6%
Hangul
ValueCountFrequency (%)
본 1
16.7%
회 1
16.7%
의 1
16.7%
미 1
16.7%
상 1
16.7%
정 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4609
99.9%
Hangul 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1539
33.4%
1 1010
21.9%
0 830
18.0%
2 342
 
7.4%
9 180
 
3.9%
8 165
 
3.6%
5 157
 
3.4%
6 127
 
2.8%
3 105
 
2.3%
7 78
 
1.7%
Other values (2) 76
 
1.6%
Hangul
ValueCountFrequency (%)
본 1
16.7%
회 1
16.7%
의 1
16.7%
미 1
16.7%
상 1
16.7%
정 1
16.7%

본회의(처리일)
Text

MISSING 

Distinct89
Distinct (%)12.3%
Missing55
Missing (%)7.1%
Memory size6.2 KiB
2023-12-12T19:07:08.196597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9972261
Min length5

Characters and Unicode

Total characters4324
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

Unique15 ?
Unique (%)2.1%

Sample

1st row07.15.
2nd row07.07.
3rd row07.07.
4th row07.07.
5th row07.15.
ValueCountFrequency (%)
12.16 86
 
11.8%
09.09 36
 
5.0%
06.27 29
 
4.0%
10.20 28
 
3.9%
03.23 28
 
3.9%
09.27 27
 
3.7%
10.23 24
 
3.3%
12.19 24
 
3.3%
12.18 22
 
3.0%
12.17 21
 
2.9%
Other values (80) 401
55.2%
2023-12-12T19:07:08.751531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1437
33.2%
1 763
17.6%
0 681
15.7%
2 502
 
11.6%
9 210
 
4.9%
6 160
 
3.7%
7 147
 
3.4%
5 143
 
3.3%
3 128
 
3.0%
4 80
 
1.9%
Other values (2) 73
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2882
66.7%
Other Punctuation 1437
33.2%
Space Separator 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 763
26.5%
0 681
23.6%
2 502
17.4%
9 210
 
7.3%
6 160
 
5.6%
7 147
 
5.1%
5 143
 
5.0%
3 128
 
4.4%
4 80
 
2.8%
8 68
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 1437
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1437
33.2%
1 763
17.6%
0 681
15.7%
2 502
 
11.6%
9 210
 
4.9%
6 160
 
3.7%
7 147
 
3.4%
5 143
 
3.3%
3 128
 
3.0%
4 80
 
1.9%
Other values (2) 73
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1437
33.2%
1 763
17.6%
0 681
15.7%
2 502
 
11.6%
9 210
 
4.9%
6 160
 
3.7%
7 147
 
3.4%
5 143
 
3.3%
3 128
 
3.0%
4 80
 
1.9%
Other values (2) 73
 
1.7%

본회의(결과)
Categorical

IMBALANCE 

Distinct15
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
원안가결
504 
가결
163 
<NA>
 
31
보고청취
 
25
수정가결
 
19
Other values (10)
 
34

Length

Max length7
Median length4
Mean length3.5515464
Min length2

Unique

Unique4 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 504
64.9%
가결 163
 
21.0%
<NA> 31
 
4.0%
보고청취 25
 
3.2%
수정가결 19
 
2.4%
부결 7
 
0.9%
위원추천 6
 
0.8%
찬성 6
 
0.8%
위원 추천 4
 
0.5%
위원선임 4
 
0.5%
Other values (5) 7
 
0.9%

Length

2023-12-12T19:07:08.949300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 504
64.5%
가결 163
 
20.8%
na 31
 
4.0%
보고청취 25
 
3.2%
수정가결 19
 
2.4%
부결 7
 
0.9%
위원추천 6
 
0.8%
찬성 6
 
0.8%
위원 5
 
0.6%
추천 4
 
0.5%
Other values (6) 12
 
1.5%

집행부 이송일
Text

MISSING 

Distinct73
Distinct (%)13.3%
Missing229
Missing (%)29.5%
Memory size6.2 KiB
2023-12-12T19:07:09.241609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.928702
Min length5

Characters and Unicode

Total characters3243
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

Unique32 ?
Unique (%)5.9%

Sample

1st row07.15.
2nd row09.27.
3rd row09.27.
4th row09.27.
5th row09.27.
ValueCountFrequency (%)
12.16 82
 
14.0%
12.18 34
 
5.8%
10.20 30
 
5.1%
09.27 27
 
4.6%
10.23 24
 
4.1%
12.19 23
 
3.9%
12.17 22
 
3.7%
03.23 21
 
3.6%
09.14 20
 
3.4%
05.22 15
 
2.6%
Other values (68) 289
49.2%
2023-12-12T19:07:09.676661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1054
32.5%
1 576
17.8%
2 478
14.7%
0 416
 
12.8%
6 118
 
3.6%
3 118
 
3.6%
9 112
 
3.5%
5 110
 
3.4%
7 103
 
3.2%
4 69
 
2.1%
Other values (2) 89
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2149
66.3%
Other Punctuation 1054
32.5%
Space Separator 40
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 576
26.8%
2 478
22.2%
0 416
19.4%
6 118
 
5.5%
3 118
 
5.5%
9 112
 
5.2%
5 110
 
5.1%
7 103
 
4.8%
4 69
 
3.2%
8 49
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 1054
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3243
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1054
32.5%
1 576
17.8%
2 478
14.7%
0 416
 
12.8%
6 118
 
3.6%
3 118
 
3.6%
9 112
 
3.5%
5 110
 
3.4%
7 103
 
3.2%
4 69
 
2.1%
Other values (2) 89
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1054
32.5%
1 576
17.8%
2 478
14.7%
0 416
 
12.8%
6 118
 
3.6%
3 118
 
3.6%
9 112
 
3.5%
5 110
 
3.4%
7 103
 
3.2%
4 69
 
2.1%
Other values (2) 89
 
2.7%

처리회기
Categorical

Distinct15
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
조례안
411 
기타 일반
128 
예산결산
77 
기타일반
 
38
감사
 
35
Other values (10)
87 

Length

Max length5
Median length3
Mean length3.5451031
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row조례안
2nd row보고청취
3rd row기타일반
4th row기타일반
5th row기타일반

Common Values

ValueCountFrequency (%)
조례안 411
53.0%
기타 일반 128
 
16.5%
예산결산 77
 
9.9%
기타일반 38
 
4.9%
감사 35
 
4.5%
보고청취 29
 
3.7%
공유재산 19
 
2.4%
군정질문 11
 
1.4%
도시계획 7
 
0.9%
위원 추천 6
 
0.8%
Other values (5) 15
 
1.9%

Length

2023-12-12T19:07:09.959733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안 411
45.2%
기타 128
 
14.1%
일반 128
 
14.1%
예산결산 77
 
8.5%
기타일반 38
 
4.2%
감사 35
 
3.8%
보고청취 29
 
3.2%
공유재산 19
 
2.1%
군정질문 11
 
1.2%
도시계획 7
 
0.8%
Other values (7) 27
 
3.0%

Interactions

2023-12-12T19:07:00.972321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:07:10.115627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호발의자 제출자본회의(보고일)본회의(처리일)본회의(결과)집행부 이송일처리회기
의안번호1.0000.6910.9810.9790.2860.9740.601
발의자 제출자0.6911.0000.9670.9240.7610.9650.885
본회의(보고일)0.9810.9671.0000.9980.8690.9960.891
본회의(처리일)0.9790.9240.9981.0000.8630.9990.901
본회의(결과)0.2860.7610.8690.8631.0000.8100.842
집행부 이송일0.9740.9650.9960.9990.8101.0000.896
처리회기0.6010.8850.8910.9010.8420.8961.000
2023-12-12T19:07:10.299590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본회의(결과)처리회기
본회의(결과)1.0000.487
처리회기0.4871.000
2023-12-12T19:07:10.425178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호본회의(결과)처리회기
의안번호1.0000.1090.322
본회의(결과)0.1091.0000.487
처리회기0.3220.4871.000

Missing values

2023-12-12T19:07:01.127007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:07:01.402315image/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.
2023-12-12T19:07:01.584027image/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

의안번호의안명발의자 제출자발의일제출일위원회(회부일)위원회(보고일)위원회(상정일)위원회(처리일)위원회(결과)본회의(보고일)본회의(처리일)본회의(결과)집행부 이송일처리회기
02119대구광역시 달성군 수상이용시설 관리 및 운영 조례 일부개정조례안군수06.30.<NA><NA><NA><NA><NA>07.08.07.15.원안가결07.15.조례안
12120군정 주요업무보고의 건군수06.30.<NA><NA><NA><NA><NA>07.08.<NA><NA><NA>보고청취
22121의장·부의장 선거의 건의장(직무대행)07.07.<NA><NA><NA><NA><NA>07.07.07.07.선출<NA>기타일반
32122제297회 달성군의회(임시회) 회기 결정의 건의장07.07.<NA><NA><NA><NA><NA>07.07.07.07.가결<NA>기타일반
42123제297회 달성군의회(임시회) 회의록 서명의원 선출의 건의장07.07.<NA><NA><NA><NA><NA>07.07.07.07.가결<NA>기타일반
52124(재)달성문화재단 임원추천위원회 위원 추천의 건의장07.15.<NA><NA><NA><NA><NA>07.15.07.15.가결<NA>기타일반
621252022년도 제1차 정례회 집회일 결정의 건의장07.15.<NA><NA><NA><NA><NA>07.15.07.15.가결<NA>기타일반
72126제298회 달성군의회(임시회) 회기 결정의 건의장08.24.<NA><NA><NA><NA><NA>08.24.08.24.가결<NA>기타일반
82127제298회 달성군의회(임시회) 회의록 서명의원 선출의 건의장08.24.<NA><NA><NA><NA><NA>08.24.08.24.가결<NA>기타일반
92128달성군시설관리공단 임원추천위원회 위원 추천의 건의장08.24.<NA><NA><NA><NA><NA>08.24.08.24.위원 추천<NA>기타일반
의안번호의안명발의자 제출자발의일제출일위원회(회부일)위원회(보고일)위원회(상정일)위원회(처리일)위원회(결과)본회의(보고일)본회의(처리일)본회의(결과)집행부 이송일처리회기
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7671072대구광역시 달성군 행정기구 설치 조례 일부개정조례안군수12.04.<NA><NA><NA><NA><NA>12.11.12.19.원안가결12.19.조례안
7681073대구광역시 달성군 지방공무원 정원 조례 일부개정조례안군수12.04.<NA><NA><NA><NA><NA>12.11.12.19.원안가결12.19.조례안
7691074장기미집행 도시계획시설 현황 보고의 건군수12.04.<NA><NA><NA><NA><NA>12.11.12.11.보고청취<NA>도시계획
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7711076의사일정 변경의 건의장12.15.<NA><NA><NA><NA><NA>12.15.12.15.가결<NA>기타 일반
7721077최정산 ANT 기지조성 계획 철회 결의의 건신영의 등 8인12.16.<NA><NA><NA><NA><NA>12.16.12.16.가결<NA>건의결의
7731078북한 인권법 제정 촉구 건의의 건김성택 등 8인12.18.<NA><NA><NA><NA><NA>12.19.12.19.가결<NA>건의결의
77410792015년도 세입세출예산안 수정안구자학 등 8인12.18.<NA><NA><NA><NA><NA>12.19.12.19.원안가결12.19.예산결산
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Duplicate rows

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11224제240회 달성군의회(임시회)회의록 서명의원 선출의 건의장01.20.<NA><NA><NA><NA><NA>01.20.01.20.가결<NA>기타 일반2
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31226대구광역시 달성군의회 위원회 조례 일부개정조례안엄윤탁, 구자학02.01.<NA><NA><NA><NA><NA>02.12.02.19.원안가결02.19.조례안2
41227대구광역시 달성군 장기등 기증 장려 및 지원에 관한 조례안신영희, 하용하02.01.<NA><NA><NA><NA><NA>02.12.02.19.원안가결02.19.조례안2
51228대구광역시 달성군 헌혈 장려 및 지원에 관한 조례안신영희, 하용하02.01.<NA><NA><NA><NA><NA>02.12.02.19.원안가결02.19.조례안2
61229대구광역시 달성군 부동산평가위원회 설치 및 운영에 관한 조례 일부개정조례안군수02.05.<NA><NA><NA><NA><NA>02.12.02.19.원안가결02.19.조례안2
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