Overview

Dataset statistics

Number of variables20
Number of observations2122
Missing cells4801
Missing cells (%)11.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory337.9 KiB
Average record size in memory163.1 B

Variable types

Numeric3
Text5
Categorical6
DateTime6

Dataset

Description부산광역시부산진구_지방의회의안정보_20221111
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15067001

Alerts

데이터기준일자 has constant value ""Constant
대수 is highly overall correlated with 회기 and 1 other fieldsHigh correlation
회기 is highly overall correlated with 대수High correlation
소관위원회 is highly overall correlated with 대수High correlation
위원회 처리결과 is highly overall correlated with 본회의 처리결과High correlation
본회의 처리결과 is highly overall correlated with 위원회 처리결과High correlation
발의자구분 is highly imbalanced (55.3%)Imbalance
위원회 회부일 has 204 (9.6%) missing valuesMissing
위원회 상정일 has 199 (9.4%) missing valuesMissing
위원회 의결일 has 238 (11.2%) missing valuesMissing
본회의 보고일 has 211 (9.9%) missing valuesMissing
본회의 상정일 has 151 (7.1%) missing valuesMissing
본회의 의결일 has 177 (8.3%) missing valuesMissing
공포일 has 1788 (84.3%) missing valuesMissing
공포번호 has 1833 (86.4%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:02:49.677025
Analysis finished2023-12-10 17:02:54.488486
Duration4.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1837889
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.8 KiB
2023-12-11T02:02:54.586238image/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 deviation2.3748567
Coefficient of variation (CV)0.45813145
Kurtosis-1.1418111
Mean5.1837889
Median Absolute Deviation (MAD)2
Skewness-0.29669478
Sum11000
Variance5.6399445
MonotonicityIncreasing
2023-12-11T02:02:54.885049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 425
20.0%
7 330
15.6%
4 260
12.3%
6 248
11.7%
5 228
10.7%
3 211
9.9%
1 201
9.5%
2 169
 
8.0%
9 50
 
2.4%
ValueCountFrequency (%)
1 201
9.5%
2 169
 
8.0%
3 211
9.9%
4 260
12.3%
5 228
10.7%
6 248
11.7%
7 330
15.6%
8 425
20.0%
9 50
 
2.4%
ValueCountFrequency (%)
9 50
 
2.4%
8 425
20.0%
7 330
15.6%
6 248
11.7%
5 228
10.7%
4 260
12.3%
3 211
9.9%
2 169
 
8.0%
1 201
9.5%

회기
Real number (ℝ)

HIGH CORRELATION 

Distinct293
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.28699
Minimum1
Maximum326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.8 KiB
2023-12-11T02:02:55.141801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q197
median193.5
Q3277
95-th percentile319
Maximum326
Range325
Interquartile range (IQR)180

Descriptive statistics

Standard deviation99.061233
Coefficient of variation (CV)0.53463673
Kurtosis-1.2123208
Mean185.28699
Median Absolute Deviation (MAD)87.5
Skewness-0.2779281
Sum393179
Variance9813.1279
MonotonicityNot monotonic
2023-12-11T02:02:55.428682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
319 40
 
1.9%
257 29
 
1.4%
161 26
 
1.2%
325 26
 
1.2%
308 25
 
1.2%
224 25
 
1.2%
296 24
 
1.1%
171 23
 
1.1%
182 22
 
1.0%
281 21
 
1.0%
Other values (283) 1861
87.7%
ValueCountFrequency (%)
1 11
0.5%
2 3
 
0.1%
3 2
 
0.1%
4 8
 
0.4%
5 1
 
< 0.1%
6 8
 
0.4%
7 21
1.0%
9 9
0.4%
10 7
 
0.3%
11 6
 
0.3%
ValueCountFrequency (%)
326 19
0.9%
325 26
1.2%
324 5
 
0.2%
322 16
 
0.8%
321 12
 
0.6%
320 4
 
0.2%
319 40
1.9%
318 15
 
0.7%
317 15
 
0.7%
316 12
 
0.6%

의안번호
Real number (ℝ)

Distinct775
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.13996
Minimum1
Maximum3831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.8 KiB
2023-12-11T02:02:55.683427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q1105.25
median212
Q3410.75
95-th percentile813.95
Maximum3831
Range3830
Interquartile range (IQR)305.5

Descriptive statistics

Standard deviation251.34515
Coefficient of variation (CV)0.88147992
Kurtosis18.388515
Mean285.13996
Median Absolute Deviation (MAD)128
Skewness2.2199706
Sum605067
Variance63174.385
MonotonicityNot monotonic
2023-12-11T02:02:55.965459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 6
 
0.3%
18 6
 
0.3%
16 6
 
0.3%
15 6
 
0.3%
14 6
 
0.3%
13 6
 
0.3%
12 6
 
0.3%
11 6
 
0.3%
10 6
 
0.3%
9 6
 
0.3%
Other values (765) 2062
97.2%
ValueCountFrequency (%)
1 6
0.3%
2 6
0.3%
3 6
0.3%
4 6
0.3%
5 6
0.3%
6 6
0.3%
7 6
0.3%
8 6
0.3%
9 6
0.3%
10 6
0.3%
ValueCountFrequency (%)
3831 1
< 0.1%
960 1
< 0.1%
958 1
< 0.1%
957 1
< 0.1%
956 1
< 0.1%
955 1
< 0.1%
954 1
< 0.1%
953 1
< 0.1%
952 1
< 0.1%
951 1
< 0.1%

의안명
Text

Distinct1581
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2023-12-11T02:02:56.327498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length48
Mean length27.505655
Min length5

Characters and Unicode

Total characters58367
Distinct characters399
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

Unique1358 ?
Unique (%)64.0%

Sample

1st row부산직할시부산진구의회결산검사위원선임.운영및실비변상조례안
2nd row부산직할시부산진구의회에서의증인등비용지급에관한조례안
3rd row부산직할시부산진구의회공청회에참가한진술인에대한실비변상조례안
4th row예산결산특별위원회운영의건
5th row부산직할시부산진구결산검사위원선임및운영에관한조례폐지조례안
ValueCountFrequency (%)
부산광역시 843
 
9.3%
부산진구 771
 
8.5%
일부개정조례안 536
 
5.9%
조례 443
 
4.9%
및 399
 
4.4%
관한 270
 
3.0%
조례안 223
 
2.5%
설치 114
 
1.3%
부산진구의회 100
 
1.1%
위한 93
 
1.0%
Other values (1808) 5244
58.0%
2023-12-11T02:02:56.911439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6922
 
11.9%
부 3669
 
6.3%
산 3316
 
5.7%
조 2471
 
4.2%
례 2381
 
4.1%
구 2093
 
3.6%
안 2082
 
3.6%
정 1682
 
2.9%
진 1633
 
2.8%
시 1553
 
2.7%
Other values (389) 30565
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49334
84.5%
Space Separator 6922
 
11.9%
Decimal Number 1812
 
3.1%
Other Punctuation 111
 
0.2%
Close Punctuation 83
 
0.1%
Open Punctuation 82
 
0.1%
Dash Punctuation 20
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3669
 
7.4%
산 3316
 
6.7%
조 2471
 
5.0%
례 2381
 
4.8%
구 2093
 
4.2%
안 2082
 
4.2%
정 1682
 
3.4%
진 1633
 
3.3%
시 1553
 
3.1%
역 1480
 
3.0%
Other values (365) 26974
54.7%
Decimal Number
ValueCountFrequency (%)
2 492
27.2%
0 488
26.9%
1 369
20.4%
9 187
 
10.3%
3 72
 
4.0%
4 51
 
2.8%
6 42
 
2.3%
5 40
 
2.2%
8 38
 
2.1%
7 33
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 61
55.0%
, 26
23.4%
· 22
 
19.8%
" 2
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 74
89.2%
」 8
 
9.6%
』 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 73
89.0%
「 8
 
9.8%
『 1
 
1.2%
Space Separator
ValueCountFrequency (%)
6922
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49334
84.5%
Common 9031
 
15.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3669
 
7.4%
산 3316
 
6.7%
조 2471
 
5.0%
례 2381
 
4.8%
구 2093
 
4.2%
안 2082
 
4.2%
정 1682
 
3.4%
진 1633
 
3.3%
시 1553
 
3.1%
역 1480
 
3.0%
Other values (365) 26974
54.7%
Common
ValueCountFrequency (%)
6922
76.6%
2 492
 
5.4%
0 488
 
5.4%
1 369
 
4.1%
9 187
 
2.1%
) 74
 
0.8%
( 73
 
0.8%
3 72
 
0.8%
. 61
 
0.7%
4 51
 
0.6%
Other values (13) 242
 
2.7%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49334
84.5%
ASCII 8993
 
15.4%
None 40
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6922
77.0%
2 492
 
5.5%
0 488
 
5.4%
1 369
 
4.1%
9 187
 
2.1%
) 74
 
0.8%
( 73
 
0.8%
3 72
 
0.8%
. 61
 
0.7%
4 51
 
0.6%
Other values (9) 204
 
2.3%
Hangul
ValueCountFrequency (%)
부 3669
 
7.4%
산 3316
 
6.7%
조 2471
 
5.0%
례 2381
 
4.8%
구 2093
 
4.2%
안 2082
 
4.2%
정 1682
 
3.4%
진 1633
 
3.3%
시 1553
 
3.1%
역 1480
 
3.0%
Other values (365) 26974
54.7%
None
ValueCountFrequency (%)
· 22
55.0%
「 8
 
20.0%
」 8
 
20.0%
『 1
 
2.5%
』 1
 
2.5%

의안종류
Categorical

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
조례안
1358 
동의안
263 
기타의안
241 
예산안
 
131
승인안
 
82
Other values (4)
 
47

Length

Max length4
Median length3
Mean length3.1135721
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row조례안
2nd row조례안
3rd row조례안
4th row기타의안
5th row조례안

Common Values

ValueCountFrequency (%)
조례안 1358
64.0%
동의안 263
 
12.4%
기타의안 241
 
11.4%
예산안 131
 
6.2%
승인안 82
 
3.9%
규칙안 39
 
1.8%
결의안 5
 
0.2%
건의안 2
 
0.1%
규정안 1
 
< 0.1%

Length

2023-12-11T02:02:57.085066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:02:57.242828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례안 1358
64.0%
동의안 263
 
12.4%
기타의안 241
 
11.4%
예산안 131
 
6.2%
승인안 82
 
3.9%
규칙안 39
 
1.8%
결의안 5
 
0.2%
건의안 2
 
0.1%
규정안 1
 
< 0.1%

발의일
Date

Distinct826
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
Minimum1991-04-15 00:00:00
Maximum2022-10-20 00:00:00
2023-12-11T02:02:57.413041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:57.619910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발의자
Text

Distinct295
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2023-12-11T02:02:57.922875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.1442036
Min length2

Characters and Unicode

Total characters10916
Distinct characters128
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

Unique248 ?
Unique (%)11.7%

Sample

1st row천두식의원외7인
2nd row천두식의원외7인
3rd row천두식의원외7인
4th row이상원의원외11인
5th row부산진구청장
ValueCountFrequency (%)
구청장 1022
39.0%
부산진구청장 653
24.9%
등 138
 
5.3%
의원 103
 
3.9%
의회운영위원장 50
 
1.9%
외 42
 
1.6%
6명 25
 
1.0%
5명 22
 
0.8%
8명 15
 
0.6%
9명 15
 
0.6%
Other values (245) 537
20.5%
2023-12-11T02:02:58.380041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1754
16.1%
구 1690
15.5%
청 1675
15.3%
진 669
 
6.1%
산 659
 
6.0%
부 653
 
6.0%
501
 
4.6%
원 452
 
4.1%
의 419
 
3.8%
외 205
 
1.9%
Other values (118) 2239
20.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9978
91.4%
Space Separator 501
 
4.6%
Decimal Number 437
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1754
17.6%
구 1690
16.9%
청 1675
16.8%
진 669
 
6.7%
산 659
 
6.6%
부 653
 
6.5%
원 452
 
4.5%
의 419
 
4.2%
외 205
 
2.1%
명 160
 
1.6%
Other values (107) 1642
16.5%
Decimal Number
ValueCountFrequency (%)
1 95
21.7%
7 74
16.9%
6 56
12.8%
8 43
9.8%
4 43
9.8%
5 40
9.2%
9 28
 
6.4%
0 25
 
5.7%
2 17
 
3.9%
3 16
 
3.7%
Space Separator
ValueCountFrequency (%)
501
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9978
91.4%
Common 938
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1754
17.6%
구 1690
16.9%
청 1675
16.8%
진 669
 
6.7%
산 659
 
6.6%
부 653
 
6.5%
원 452
 
4.5%
의 419
 
4.2%
외 205
 
2.1%
명 160
 
1.6%
Other values (107) 1642
16.5%
Common
ValueCountFrequency (%)
501
53.4%
1 95
 
10.1%
7 74
 
7.9%
6 56
 
6.0%
8 43
 
4.6%
4 43
 
4.6%
5 40
 
4.3%
9 28
 
3.0%
0 25
 
2.7%
2 17
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9978
91.4%
ASCII 938
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1754
17.6%
구 1690
16.9%
청 1675
16.8%
진 669
 
6.7%
산 659
 
6.6%
부 653
 
6.5%
원 452
 
4.5%
의 419
 
4.2%
외 205
 
2.1%
명 160
 
1.6%
Other values (107) 1642
16.5%
ASCII
ValueCountFrequency (%)
501
53.4%
1 95
 
10.1%
7 74
 
7.9%
6 56
 
6.0%
8 43
 
4.6%
4 43
 
4.6%
5 40
 
4.3%
9 28
 
3.0%
0 25
 
2.7%
2 17
 
1.8%

발의자구분
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
구청장
1520 
의원
346 
<NA>
184 
위원회
 
68
기타
 
2
Other values (2)
 
2

Length

Max length4
Median length3
Mean length2.9222432
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row의원
2nd row의원
3rd row의원
4th row의원
5th row구청장

Common Values

ValueCountFrequency (%)
구청장 1520
71.6%
의원 346
 
16.3%
<NA> 184
 
8.7%
위원회 68
 
3.2%
기타 2
 
0.1%
의장 1
 
< 0.1%
위원장 1
 
< 0.1%

Length

2023-12-11T02:02:58.584457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:02:58.795702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구청장 1520
71.6%
의원 346
 
16.3%
na 184
 
8.7%
위원회 68
 
3.2%
기타 2
 
0.1%
의장 1
 
< 0.1%
위원장 1
 
< 0.1%

소관위원회
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
사회도시위원회
456 
기획총무위원회
343 
행정자치위원회
286 
의회운영위원회
188 
총무위원회
164 
Other values (20)
685 

Length

Max length16
Median length7
Mean length6.8218662
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사회도시위원회 456
21.5%
기획총무위원회 343
16.2%
행정자치위원회 286
13.5%
의회운영위원회 188
8.9%
총무위원회 164
 
7.7%
예산결산특별위원회 160
 
7.5%
문화복지위원회 94
 
4.4%
주민복지위원회 82
 
3.9%
본회의 73
 
3.4%
창조도시위원회 54
 
2.5%
Other values (15) 222
10.5%

Length

2023-12-11T02:02:58.997774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회도시위원회 456
21.7%
기획총무위원회 343
16.3%
행정자치위원회 286
13.6%
의회운영위원회 188
9.0%
총무위원회 164
 
7.8%
예산결산특별위원회 160
 
7.6%
문화복지위원회 94
 
4.5%
주민복지위원회 82
 
3.9%
본회의 74
 
3.5%
창조도시위원회 54
 
2.6%
Other values (14) 197
9.4%

위원회 회부일
Date

MISSING 

Distinct663
Distinct (%)34.6%
Missing204
Missing (%)9.6%
Memory size16.7 KiB
Minimum1991-07-05 00:00:00
Maximum2022-10-19 00:00:00
2023-12-11T02:02:59.156159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:59.372726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회 상정일
Date

MISSING 

Distinct572
Distinct (%)29.7%
Missing199
Missing (%)9.4%
Memory size16.7 KiB
Minimum1991-07-05 00:00:00
Maximum2022-10-20 00:00:00
2023-12-11T02:02:59.615065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:59.843683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회 의결일
Text

MISSING 

Distinct574
Distinct (%)30.5%
Missing238
Missing (%)11.2%
Memory size16.7 KiB
2023-12-11T02:03:00.195898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters18840
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

Unique228 ?
Unique (%)12.1%

Sample

1st row1991-07-05
2nd row1991-07-30
3rd row1991-11-13
4th row1991-11-18
5th row1991-11-14
ValueCountFrequency (%)
2022-09-21 20
 
1.1%
2018-05-10 18
 
1.0%
2019-10-18 18
 
1.0%
2009-04-23 18
 
1.0%
2020-11-17 14
 
0.7%
2022-10-20 14
 
0.7%
2015-06-17 14
 
0.7%
2019-09-05 14
 
0.7%
2006-12-20 13
 
0.7%
1991-12-27 13
 
0.7%
Other values (564) 1728
91.7%
2023-12-11T02:03:01.292083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4081
21.7%
- 3768
20.0%
2 3397
18.0%
1 3183
16.9%
9 1384
 
7.3%
7 618
 
3.3%
6 592
 
3.1%
5 499
 
2.6%
4 475
 
2.5%
3 431
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15072
80.0%
Dash Punctuation 3768
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4081
27.1%
2 3397
22.5%
1 3183
21.1%
9 1384
 
9.2%
7 618
 
4.1%
6 592
 
3.9%
5 499
 
3.3%
4 475
 
3.2%
3 431
 
2.9%
8 412
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 3768
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4081
21.7%
- 3768
20.0%
2 3397
18.0%
1 3183
16.9%
9 1384
 
7.3%
7 618
 
3.3%
6 592
 
3.1%
5 499
 
2.6%
4 475
 
2.5%
3 431
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4081
21.7%
- 3768
20.0%
2 3397
18.0%
1 3183
16.9%
9 1384
 
7.3%
7 618
 
3.3%
6 592
 
3.1%
5 499
 
2.6%
4 475
 
2.5%
3 431
 
2.3%

위원회 처리결과
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
원안가결
888 
원안의결
407 
수정가결
331 
수정의결
133 
계류중
 
82
Other values (19)
281 

Length

Max length16
Median length4
Mean length3.9731385
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 888
41.8%
원안의결 407
19.2%
수정가결 331
 
15.6%
수정의결 133
 
6.3%
계류중 82
 
3.9%
본회의직상 74
 
3.5%
부결 41
 
1.9%
의견서채택 28
 
1.3%
보류 26
 
1.2%
위원회안 25
 
1.2%
Other values (14) 87
 
4.1%

Length

2023-12-11T02:03:01.543076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 888
41.5%
원안의결 407
19.0%
수정가결 331
 
15.5%
수정의결 133
 
6.2%
계류중 82
 
3.8%
본회의직상 74
 
3.5%
부결 41
 
1.9%
의견서채택 28
 
1.3%
보류 26
 
1.2%
위원회안 25
 
1.2%
Other values (17) 105
 
4.9%

본회의 보고일
Date

MISSING 

Distinct611
Distinct (%)32.0%
Missing211
Missing (%)9.9%
Memory size16.7 KiB
Minimum1991-04-15 00:00:00
Maximum2022-10-20 00:00:00
2023-12-11T02:03:01.781218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:02.039703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 상정일
Text

MISSING 

Distinct426
Distinct (%)21.6%
Missing151
Missing (%)7.1%
Memory size16.7 KiB
2023-12-11T02:03:02.556253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters19710
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

Unique120 ?
Unique (%)6.1%

Sample

1st row1991-04-16
2nd row1991-04-16
3rd row1991-04-16
4th row1991-05-11
5th row1991-05-11
ValueCountFrequency (%)
2022-09-30 25
 
1.3%
2022-01-21 23
 
1.2%
2018-05-18 20
 
1.0%
2012-12-13 18
 
0.9%
2019-10-22 18
 
0.9%
2022-10-21 17
 
0.9%
2020-11-26 17
 
0.9%
2009-04-24 17
 
0.9%
2021-11-24 17
 
0.9%
2019-09-06 16
 
0.8%
Other values (416) 1783
90.5%
2023-12-11T02:03:03.343877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4062
20.6%
- 3942
20.0%
2 3874
19.7%
1 3172
16.1%
9 1500
 
7.6%
3 594
 
3.0%
5 560
 
2.8%
7 545
 
2.8%
6 532
 
2.7%
4 497
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15768
80.0%
Dash Punctuation 3942
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4062
25.8%
2 3874
24.6%
1 3172
20.1%
9 1500
 
9.5%
3 594
 
3.8%
5 560
 
3.6%
7 545
 
3.5%
6 532
 
3.4%
4 497
 
3.2%
8 432
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 3942
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19710
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4062
20.6%
- 3942
20.0%
2 3874
19.7%
1 3172
16.1%
9 1500
 
7.6%
3 594
 
3.0%
5 560
 
2.8%
7 545
 
2.8%
6 532
 
2.7%
4 497
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4062
20.6%
- 3942
20.0%
2 3874
19.7%
1 3172
16.1%
9 1500
 
7.6%
3 594
 
3.0%
5 560
 
2.8%
7 545
 
2.8%
6 532
 
2.7%
4 497
 
2.5%

본회의 의결일
Date

MISSING 

Distinct422
Distinct (%)21.7%
Missing177
Missing (%)8.3%
Memory size16.7 KiB
Minimum1961-12-21 00:00:00
Maximum2022-10-21 00:00:00
2023-12-11T02:03:03.632385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:03.916164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
원안의결
900 
원안가결
528 
수정의결
233 
수정가결
233 
<NA>
 
77
Other values (11)
151 

Length

Max length6
Median length4
Mean length3.9830349
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안의결 900
42.4%
원안가결 528
24.9%
수정의결 233
 
11.0%
수정가결 233
 
11.0%
<NA> 77
 
3.6%
계류중 57
 
2.7%
원안채택 33
 
1.6%
의견서채택 29
 
1.4%
임기만료폐기 13
 
0.6%
부결 5
 
0.2%
Other values (6) 14
 
0.7%

Length

2023-12-11T02:03:04.181605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안의결 900
42.4%
원안가결 528
24.9%
수정의결 233
 
11.0%
수정가결 233
 
11.0%
na 77
 
3.6%
계류중 57
 
2.7%
원안채택 33
 
1.6%
의견서채택 29
 
1.4%
임기만료폐기 13
 
0.6%
부결 5
 
0.2%
Other values (6) 14
 
0.7%

공포일
Date

MISSING 

Distinct97
Distinct (%)29.0%
Missing1788
Missing (%)84.3%
Memory size16.7 KiB
Minimum1991-04-23 00:00:00
Maximum2017-02-01 00:00:00
2023-12-11T02:03:04.418796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:03:04.672213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Text

MISSING 

Distinct286
Distinct (%)99.0%
Missing1833
Missing (%)86.4%
Memory size16.7 KiB
2023-12-11T02:03:05.219055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.8269896
Min length1

Characters and Unicode

Total characters1106
Distinct characters17
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

Unique283 ?
Unique (%)97.9%

Sample

1st row229
2nd row230
3rd row231
4th row239
5th row240
ValueCountFrequency (%)
조례 3
 
1.0%
267 2
 
0.7%
제115 2
 
0.7%
264 2
 
0.7%
제503호 1
 
0.3%
제423호 1
 
0.3%
제428호 1
 
0.3%
제429호 1
 
0.3%
제427호 1
 
0.3%
제426호 1
 
0.3%
Other values (278) 278
94.9%
2023-12-11T02:03:05.955838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 162
14.6%
3 150
13.6%
제 118
10.7%
호 115
10.4%
2 112
10.1%
5 80
7.2%
6 61
 
5.5%
8 60
 
5.4%
7 59
 
5.3%
9 58
 
5.2%
Other values (7) 131
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 855
77.3%
Other Letter 247
 
22.3%
Space Separator 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 162
18.9%
3 150
17.5%
2 112
13.1%
5 80
9.4%
6 61
 
7.1%
8 60
 
7.0%
7 59
 
6.9%
9 58
 
6.8%
0 58
 
6.8%
1 55
 
6.4%
Other Letter
ValueCountFrequency (%)
제 118
47.8%
호 115
46.6%
례 4
 
1.6%
조 4
 
1.6%
규 3
 
1.2%
칙 3
 
1.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 859
77.7%
Hangul 247
 
22.3%

Most frequent character per script

Common
ValueCountFrequency (%)
4 162
18.9%
3 150
17.5%
2 112
13.0%
5 80
9.3%
6 61
 
7.1%
8 60
 
7.0%
7 59
 
6.9%
9 58
 
6.8%
0 58
 
6.8%
1 55
 
6.4%
Hangul
ValueCountFrequency (%)
제 118
47.8%
호 115
46.6%
례 4
 
1.6%
조 4
 
1.6%
규 3
 
1.2%
칙 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 859
77.7%
Hangul 247
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 162
18.9%
3 150
17.5%
2 112
13.0%
5 80
9.3%
6 61
 
7.1%
8 60
 
7.0%
7 59
 
6.9%
9 58
 
6.8%
0 58
 
6.8%
1 55
 
6.4%
Hangul
ValueCountFrequency (%)
제 118
47.8%
호 115
46.6%
례 4
 
1.6%
조 4
 
1.6%
규 3
 
1.2%
칙 3
 
1.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.7 KiB
2022-11-11
2122 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-11
2nd row2022-11-11
3rd row2022-11-11
4th row2022-11-11
5th row2022-11-11

Common Values

ValueCountFrequency (%)
2022-11-11 2122
100.0%

Length

2023-12-11T02:03:06.176658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:03:06.307873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-11 2122
100.0%

Interactions

2023-12-11T02:02:52.847443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:51.514335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:52.059604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:53.028405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:51.686224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:52.198219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:53.206666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:51.863661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:02:52.345026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:03:06.414777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수회기의안번호의안종류발의자구분소관위원회위원회 처리결과본회의 처리결과공포일
대수1.0000.9510.7210.2780.2360.8620.6430.6391.000
회기0.9511.0000.8240.2260.2450.8250.6200.6361.000
의안번호0.7210.8241.0000.0000.0480.4900.2890.3830.999
의안종류0.2780.2260.0001.0000.3870.7780.5700.5140.915
발의자구분0.2360.2450.0480.3871.0000.7070.7070.3320.461
소관위원회0.8620.8250.4900.7780.7071.0000.7650.6720.920
위원회 처리결과0.6430.6200.2890.5700.7070.7651.0000.9410.953
본회의 처리결과0.6390.6360.3830.5140.3320.6720.9411.0000.763
공포일1.0001.0000.9990.9150.4610.9200.9530.7631.000
2023-12-11T02:03:06.637719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본회의 처리결과위원회 처리결과의안종류소관위원회발의자구분
본회의 처리결과1.0000.6800.2370.2660.161
위원회 처리결과0.6801.0000.2600.3020.412
의안종류0.2370.2601.0000.4340.204
소관위원회0.2660.3020.4341.0000.409
발의자구분0.1610.4120.2040.4091.000
2023-12-11T02:03:06.824111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수회기의안번호의안종류발의자구분소관위원회위원회 처리결과본회의 처리결과
대수1.0000.974-0.4130.0920.1190.5550.3100.322
회기0.9741.000-0.3410.1040.1310.4640.2820.295
의안번호-0.413-0.3411.0000.0000.0310.2780.1570.226
의안종류0.0920.1040.0001.0000.2040.4340.2600.237
발의자구분0.1190.1310.0310.2041.0000.4090.4120.161
소관위원회0.5550.4640.2780.4340.4091.0000.3020.266
위원회 처리결과0.3100.2820.1570.2600.4120.3021.0000.680
본회의 처리결과0.3220.2950.2260.2370.1610.2660.6801.000

Missing values

2023-12-11T02:02:53.474759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:02:53.944919image/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.
2023-12-11T02:02:54.255586image/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

대수회기의안번호의안명의안종류발의일발의자발의자구분소관위원회위원회 회부일위원회 상정일위원회 의결일위원회 처리결과본회의 보고일본회의 상정일본회의 의결일본회의 처리결과공포일공포번호데이터기준일자
011101부산직할시부산진구의회결산검사위원선임.운영및실비변상조례안조례안1991-04-15천두식의원외7인의원본회의<NA><NA><NA>본회의직상1991-04-151991-04-161991-04-16원안의결1991-04-232292022-11-11
111102부산직할시부산진구의회에서의증인등비용지급에관한조례안조례안1991-04-15천두식의원외7인의원본회의<NA><NA><NA>본회의직상1991-04-151991-04-161991-04-16원안의결1991-04-232302022-11-11
211103부산직할시부산진구의회공청회에참가한진술인에대한실비변상조례안조례안1991-04-15천두식의원외7인의원본회의<NA><NA><NA>본회의직상1991-04-151991-04-161991-04-16원안의결1991-04-232312022-11-11
312104예산결산특별위원회운영의건기타의안1991-05-02이상원의원외11인의원본회의<NA><NA><NA>본회의직상1991-05-111991-05-111991-05-11원안의결<NA><NA>2022-11-11
412105부산직할시부산진구결산검사위원선임및운영에관한조례폐지조례안조례안1991-05-04부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-05-111991-05-111991-05-11원안의결<NA><NA>2022-11-11
512106공유재산관리계획변경승인안동의안1991-05-04부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-05-111991-05-111991-05-11원안의결<NA><NA>2022-11-11
613107구정질문을위한구청장및관계공무원출석요구의건기타의안1991-06-25김영재의원외9인의원본회의<NA><NA><NA>본회의직상1991-07-041991-07-041991-07-04원안의결<NA><NA>2022-11-11
7131081990회계년도세입.세출결산승인안승인안1991-06-28부산진구청장구청장예산결산특별위원회1991-07-051991-07-051991-07-05원안가결1991-07-081991-07-081991-07-08원안의결<NA><NA>2022-11-11
814109부산직할시부산진구통장자녀장학금지급조례중개정조례안조례안1991-07-16부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-07-251991-07-251991-07-25원안의결<NA><NA>2022-11-11
914110부산직할시부산진구공공용지에편입된사권제한토지에대한종합토지세불균일과세에관한조례중개정조례안조례안1991-07-16부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-07-251991-07-251991-07-25원안의결<NA><NA>2022-11-11
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