Overview

Dataset statistics

Number of variables21
Number of observations2767
Missing cells15587
Missing cells (%)26.8%
Duplicate rows4
Duplicate rows (%)0.1%
Total size in memory462.2 KiB
Average record size in memory171.0 B

Variable types

Numeric3
Text6
DateTime9
Categorical3

Dataset

Description조례안 등 부산광역시 남구의회 의안정보에 대한 데이터로 의안명, 제안일자, 제안자, 소관위원회, 처리회기 등을 제공합니다.
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15038020/fileData.do

Alerts

Dataset has 4 (0.1%) duplicate rowsDuplicates
1차 처리결과 is highly imbalanced (68.7%)Imbalance
2차 처리결과 is highly imbalanced (72.1%)Imbalance
발의의원 has 2524 (91.2%) missing valuesMissing
위원회 회부일 has 293 (10.6%) missing valuesMissing
1차 보고일 has 1735 (62.7%) missing valuesMissing
1차 상정일 has 1222 (44.2%) missing valuesMissing
1차 처리일 has 1913 (69.1%) missing valuesMissing
본회의 결과보고서 접수일 has 271 (9.8%) missing valuesMissing
2차 보고일 has 1805 (65.2%) missing valuesMissing
2차 상정일 has 280 (10.1%) missing valuesMissing
2차 처리일 has 1308 (47.3%) missing valuesMissing
집행부이송일 has 421 (15.2%) missing valuesMissing
공포일 has 1899 (68.6%) missing valuesMissing
공포번호 has 1915 (69.2%) missing valuesMissing
회기 has 1837 (66.4%) zerosZeros

Reproduction

Analysis started2024-03-14 15:34:14.279811
Analysis finished2024-03-14 15:34:15.569011
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2887604
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2024-03-15T00:34:15.729062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.5210811
Coefficient of variation (CV)0.47668657
Kurtosis-1.1752942
Mean5.2887604
Median Absolute Deviation (MAD)2
Skewness-0.23913438
Sum14634
Variance6.3558498
MonotonicityIncreasing
2024-03-15T00:34:16.098534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 517
18.7%
7 351
12.7%
5 326
11.8%
1 290
10.5%
3 290
10.5%
4 284
10.3%
6 284
10.3%
9 223
8.1%
2 202
 
7.3%
ValueCountFrequency (%)
1 290
10.5%
2 202
 
7.3%
3 290
10.5%
4 284
10.3%
5 326
11.8%
6 284
10.3%
7 351
12.7%
8 517
18.7%
9 223
8.1%
ValueCountFrequency (%)
9 223
8.1%
8 517
18.7%
7 351
12.7%
6 284
10.3%
5 326
11.8%
4 284
10.3%
3 290
10.5%
2 202
 
7.3%
1 290
10.5%

의안번호
Real number (ℝ)

Distinct432
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.25913
Minimum1
Maximum432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2024-03-15T00:34:16.507248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q151
median115
Q3186
95-th percentile315.7
Maximum432
Range431
Interquartile range (IQR)135

Descriptive statistics

Standard deviation94.070813
Coefficient of variation (CV)0.73344343
Kurtosis0.42167911
Mean128.25913
Median Absolute Deviation (MAD)67
Skewness0.83797257
Sum354893
Variance8849.3179
MonotonicityNot monotonic
2024-03-15T00:34:16.930690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 22
 
0.8%
7 22
 
0.8%
16 21
 
0.8%
3 20
 
0.7%
8 19
 
0.7%
2 18
 
0.7%
4 18
 
0.7%
10 18
 
0.7%
39 18
 
0.7%
5 17
 
0.6%
Other values (422) 2574
93.0%
ValueCountFrequency (%)
1 16
0.6%
2 18
0.7%
3 20
0.7%
4 18
0.7%
5 17
0.6%
6 22
0.8%
7 22
0.8%
8 19
0.7%
9 15
0.5%
10 18
0.7%
ValueCountFrequency (%)
432 1
< 0.1%
431 1
< 0.1%
430 1
< 0.1%
429 1
< 0.1%
428 1
< 0.1%
427 1
< 0.1%
426 1
< 0.1%
425 1
< 0.1%
424 1
< 0.1%
423 1
< 0.1%

회기
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.356704
Minimum0
Maximum3311
Zeros1837
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2024-03-15T00:34:17.337094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3267
95-th percentile314
Maximum3311
Range3311
Interquartile range (IQR)267

Descriptive statistics

Standard deviation149.0606
Coefficient of variation (CV)1.5310769
Kurtosis76.345585
Mean97.356704
Median Absolute Deviation (MAD)0
Skewness4.1577915
Sum269386
Variance22219.063
MonotonicityNot monotonic
2024-03-15T00:34:18.107935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1837
66.4%
302 50
 
1.8%
267 37
 
1.3%
323 30
 
1.1%
250 29
 
1.0%
318 29
 
1.0%
298 27
 
1.0%
280 27
 
1.0%
313 27
 
1.0%
291 25
 
0.9%
Other values (68) 649
 
23.5%
ValueCountFrequency (%)
0 1837
66.4%
241 1
 
< 0.1%
243 6
 
0.2%
244 9
 
0.3%
245 11
 
0.4%
246 1
 
< 0.1%
247 8
 
0.3%
248 8
 
0.3%
249 11
 
0.4%
250 29
 
1.0%
ValueCountFrequency (%)
3311 1
 
< 0.1%
323 30
1.1%
322 18
0.7%
321 18
0.7%
320 8
 
0.3%
319 18
0.7%
318 29
1.0%
317 1
 
< 0.1%
316 9
 
0.3%
315 3
 
0.1%
Distinct1725
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
2024-03-15T00:34:19.278722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length55
Mean length25.936032
Min length10

Characters and Unicode

Total characters71765
Distinct characters407
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1333 ?
Unique (%)48.2%

Sample

1st row구간 행정구역 조정동의안
2nd row1990년도 세입·세출 결산승인의건
3rd row수영천변 계획도로변경에관한 청원
4th row부산직할시 남구 의회기및의원배지에관한 규칙안
5th row구정현황및 지역개발사업파악을위한 현장순방 활동결의안
ValueCountFrequency (%)
부산광역시 1557
 
10.8%
남구 1456
 
10.1%
조례 623
 
4.3%
일부개정조례안 544
 
3.8%
관한 392
 
2.7%
조례안 369
 
2.6%
365
 
2.5%
363
 
2.5%
예산안 324
 
2.2%
개정조례안 319
 
2.2%
Other values (1987) 8112
56.2%
2024-03-15T00:34:20.838040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11657
 
16.2%
2573
 
3.6%
2521
 
3.5%
2480
 
3.5%
2440
 
3.4%
2428
 
3.4%
2273
 
3.2%
1936
 
2.7%
1858
 
2.6%
1750
 
2.4%
Other values (397) 39849
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55478
77.3%
Space Separator 11657
 
16.2%
Decimal Number 4074
 
5.7%
Other Punctuation 181
 
0.3%
Close Punctuation 151
 
0.2%
Open Punctuation 150
 
0.2%
Dash Punctuation 61
 
0.1%
Uppercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2573
 
4.6%
2521
 
4.5%
2480
 
4.5%
2440
 
4.4%
2428
 
4.4%
2273
 
4.1%
1936
 
3.5%
1858
 
3.3%
1750
 
3.2%
1742
 
3.1%
Other values (370) 33477
60.3%
Decimal Number
ValueCountFrequency (%)
2 1139
28.0%
0 1132
27.8%
1 716
17.6%
9 407
 
10.0%
3 166
 
4.1%
4 128
 
3.1%
6 107
 
2.6%
5 98
 
2.4%
7 91
 
2.2%
8 90
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
U 4
30.8%
N 4
30.8%
A 1
 
7.7%
P 1
 
7.7%
E 1
 
7.7%
C 1
 
7.7%
G 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
· 115
63.5%
, 61
33.7%
: 3
 
1.7%
' 2
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 150
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 149
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
11657
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55478
77.3%
Common 16274
 
22.7%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2573
 
4.6%
2521
 
4.5%
2480
 
4.5%
2440
 
4.4%
2428
 
4.4%
2273
 
4.1%
1936
 
3.5%
1858
 
3.3%
1750
 
3.2%
1742
 
3.1%
Other values (370) 33477
60.3%
Common
ValueCountFrequency (%)
11657
71.6%
2 1139
 
7.0%
0 1132
 
7.0%
1 716
 
4.4%
9 407
 
2.5%
3 166
 
1.0%
) 150
 
0.9%
( 149
 
0.9%
4 128
 
0.8%
· 115
 
0.7%
Other values (10) 515
 
3.2%
Latin
ValueCountFrequency (%)
U 4
30.8%
N 4
30.8%
A 1
 
7.7%
P 1
 
7.7%
E 1
 
7.7%
C 1
 
7.7%
G 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55474
77.3%
ASCII 16172
 
22.5%
None 115
 
0.2%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11657
72.1%
2 1139
 
7.0%
0 1132
 
7.0%
1 716
 
4.4%
9 407
 
2.5%
3 166
 
1.0%
) 150
 
0.9%
( 149
 
0.9%
4 128
 
0.8%
6 107
 
0.7%
Other values (16) 421
 
2.6%
Hangul
ValueCountFrequency (%)
2573
 
4.6%
2521
 
4.5%
2480
 
4.5%
2440
 
4.4%
2428
 
4.4%
2273
 
4.1%
1936
 
3.5%
1858
 
3.3%
1750
 
3.2%
1742
 
3.1%
Other values (369) 33473
60.3%
None
ValueCountFrequency (%)
· 115
100.0%
Compat Jamo
ValueCountFrequency (%)
4
100.0%
Distinct417
Distinct (%)15.1%
Missing1
Missing (%)< 0.1%
Memory size21.7 KiB
2024-03-15T00:34:21.905367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length4
Mean length5.4060014
Min length2

Characters and Unicode

Total characters14953
Distinct characters148
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)11.0%

Sample

1st row남구청장
2nd row남구청장
3rd row김영우의원소개 이학수외283명
4th row유영기의원외 10인
5th row조해수의원외 10인
ValueCountFrequency (%)
남구청장 2060
51.4%
388
 
9.7%
의원 334
 
8.3%
4인 70
 
1.7%
5인 53
 
1.3%
2명 40
 
1.0%
12명 37
 
0.9%
6인 37
 
0.9%
6명 37
 
0.9%
운영위원회 36
 
0.9%
Other values (237) 919
22.9%
2024-03-15T00:34:23.380613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2098
14.0%
2094
14.0%
2074
13.9%
2060
13.8%
1245
8.3%
687
 
4.6%
633
 
4.2%
564
 
3.8%
332
 
2.2%
267
 
1.8%
Other values (138) 2899
19.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12968
86.7%
Space Separator 1245
 
8.3%
Decimal Number 734
 
4.9%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2098
16.2%
2094
16.1%
2074
16.0%
2060
15.9%
687
 
5.3%
633
 
4.9%
564
 
4.3%
332
 
2.6%
267
 
2.1%
137
 
1.1%
Other values (124) 2022
15.6%
Decimal Number
ValueCountFrequency (%)
1 200
27.2%
2 92
12.5%
4 90
12.3%
5 83
11.3%
6 79
 
10.8%
3 55
 
7.5%
8 39
 
5.3%
9 34
 
4.6%
0 33
 
4.5%
7 29
 
4.0%
Space Separator
ValueCountFrequency (%)
1245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12968
86.7%
Common 1985
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2098
16.2%
2094
16.1%
2074
16.0%
2060
15.9%
687
 
5.3%
633
 
4.9%
564
 
4.3%
332
 
2.6%
267
 
2.1%
137
 
1.1%
Other values (124) 2022
15.6%
Common
ValueCountFrequency (%)
1245
62.7%
1 200
 
10.1%
2 92
 
4.6%
4 90
 
4.5%
5 83
 
4.2%
6 79
 
4.0%
3 55
 
2.8%
8 39
 
2.0%
9 34
 
1.7%
0 33
 
1.7%
Other values (4) 35
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12968
86.7%
ASCII 1985
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2098
16.2%
2094
16.1%
2074
16.0%
2060
15.9%
687
 
5.3%
633
 
4.9%
564
 
4.3%
332
 
2.6%
267
 
2.1%
137
 
1.1%
Other values (124) 2022
15.6%
ASCII
ValueCountFrequency (%)
1245
62.7%
1 200
 
10.1%
2 92
 
4.6%
4 90
 
4.5%
5 83
 
4.2%
6 79
 
4.0%
3 55
 
2.8%
8 39
 
2.0%
9 34
 
1.7%
0 33
 
1.7%
Other values (4) 35
 
1.8%

발의의원
Text

MISSING 

Distinct167
Distinct (%)68.7%
Missing2524
Missing (%)91.2%
Memory size21.7 KiB
2024-03-15T00:34:24.204572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length62
Mean length40.037037
Min length2

Characters and Unicode

Total characters9729
Distinct characters56
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

Unique136 ?
Unique (%)56.0%

Sample

1st row김병태, 박미순, 성동환, 김광명, 박기홍, 송상일, 정희영, 조상진, 박재범, 반선호, 윤명희, 김성경
2nd row김병태, 유장근, 박미순, 이강영, 성동환, 윤명희, 송상일, 이호승, 정희영, 조상진, 박재범, 반선호, 김성경
3rd row이호승
4th row김병태, 유장근, 박미순, 이강영, 성동환, 윤명희, 박기홍, 송상일, 김광명, 정희영, 조상진, 김성경
5th row김병태, 유장근, 박미순, 이강영, 성동환, 윤명희, 박기홍, 송상일, 김광명, 정희영, 조상진, 김성경
ValueCountFrequency (%)
서성부 164
 
7.9%
김철현 153
 
7.4%
박구슬 142
 
6.8%
허미향 142
 
6.8%
박미순 140
 
6.7%
백석민 135
 
6.5%
고선화 132
 
6.4%
김근우 125
 
6.0%
이병준 95
 
4.6%
김현미 93
 
4.5%
Other values (22) 756
36.4%
2024-03-15T00:34:25.392746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1834
18.9%
1834
18.9%
457
 
4.7%
402
 
4.1%
375
 
3.9%
358
 
3.7%
292
 
3.0%
210
 
2.2%
194
 
2.0%
164
 
1.7%
Other values (46) 3609
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6061
62.3%
Other Punctuation 1834
 
18.9%
Space Separator 1834
 
18.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
457
 
7.5%
402
 
6.6%
375
 
6.2%
358
 
5.9%
292
 
4.8%
210
 
3.5%
194
 
3.2%
164
 
2.7%
164
 
2.7%
160
 
2.6%
Other values (44) 3285
54.2%
Other Punctuation
ValueCountFrequency (%)
, 1834
100.0%
Space Separator
ValueCountFrequency (%)
1834
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6061
62.3%
Common 3668
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
457
 
7.5%
402
 
6.6%
375
 
6.2%
358
 
5.9%
292
 
4.8%
210
 
3.5%
194
 
3.2%
164
 
2.7%
164
 
2.7%
160
 
2.6%
Other values (44) 3285
54.2%
Common
ValueCountFrequency (%)
, 1834
50.0%
1834
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6061
62.3%
ASCII 3668
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1834
50.0%
1834
50.0%
Hangul
ValueCountFrequency (%)
457
 
7.5%
402
 
6.6%
375
 
6.2%
358
 
5.9%
292
 
4.8%
210
 
3.5%
194
 
3.2%
164
 
2.7%
164
 
2.7%
160
 
2.6%
Other values (44) 3285
54.2%
Distinct869
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
Minimum1991-04-15 00:00:00
Maximum2023-12-04 00:00:00
2024-03-15T00:34:25.746537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:26.176072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회
Categorical

Distinct18
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
총무위원회
810 
주민복지도시위원회
429 
운영위원회
298 
사회산업도시위원회
254 
<NA>
211 
Other values (13)
765 

Length

Max length20
Median length18
Mean length6.6563065
Min length3

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
총무위원회 810
29.3%
주민복지도시위원회 429
15.5%
운영위원회 298
 
10.8%
사회산업도시위원회 254
 
9.2%
<NA> 211
 
7.6%
예산결산특별위원회 211
 
7.6%
경제복지도시위원회 210
 
7.6%
기획행정위원회 161
 
5.8%
본회의 78
 
2.8%
기획총무위원회 43
 
1.6%
Other values (8) 62
 
2.2%

Length

2024-03-15T00:34:26.592697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
총무위원회 810
29.3%
주민복지도시위원회 429
15.5%
운영위원회 298
 
10.8%
사회산업도시위원회 254
 
9.2%
na 211
 
7.6%
예산결산특별위원회 211
 
7.6%
경제복지도시위원회 210
 
7.6%
기획행정위원회 161
 
5.8%
본회의 78
 
2.8%
기획총무위원회 43
 
1.6%
Other values (8) 62
 
2.2%

위원회 회부일
Text

MISSING 

Distinct667
Distinct (%)27.0%
Missing293
Missing (%)10.6%
Memory size21.7 KiB
2024-03-15T00:34:27.733320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters24740
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

Unique229 ?
Unique (%)9.3%

Sample

1st row1992-04-30
2nd row1991-12-02
3rd row1991-11-11
4th row1991-09-09
5th row1994-12-19
ValueCountFrequency (%)
2023-05-01 26
 
1.1%
2021-11-22 26
 
1.1%
2022-09-05 22
 
0.9%
2021-06-02 21
 
0.8%
2022-03-08 19
 
0.8%
2005-11-21 18
 
0.7%
2023-08-28 17
 
0.7%
2021-07-06 17
 
0.7%
2021-11-02 16
 
0.6%
2006-08-31 16
 
0.6%
Other values (657) 2276
92.0%
2024-03-15T00:34:29.224931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5705
23.1%
- 4948
20.0%
1 4192
16.9%
2 4173
16.9%
9 1687
 
6.8%
3 857
 
3.5%
6 697
 
2.8%
8 679
 
2.7%
5 665
 
2.7%
7 627
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19792
80.0%
Dash Punctuation 4948
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5705
28.8%
1 4192
21.2%
2 4173
21.1%
9 1687
 
8.5%
3 857
 
4.3%
6 697
 
3.5%
8 679
 
3.4%
5 665
 
3.4%
7 627
 
3.2%
4 510
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 4948
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24740
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5705
23.1%
- 4948
20.0%
1 4192
16.9%
2 4173
16.9%
9 1687
 
6.8%
3 857
 
3.5%
6 697
 
2.8%
8 679
 
2.7%
5 665
 
2.7%
7 627
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5705
23.1%
- 4948
20.0%
1 4192
16.9%
2 4173
16.9%
9 1687
 
6.8%
3 857
 
3.5%
6 697
 
2.8%
8 679
 
2.7%
5 665
 
2.7%
7 627
 
2.5%

1차 보고일
Date

MISSING 

Distinct210
Distinct (%)20.3%
Missing1735
Missing (%)62.7%
Memory size21.7 KiB
Minimum2013-08-26 00:00:00
Maximum2023-12-07 00:00:00
2024-03-15T00:34:29.641321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:30.087751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

1차 상정일
Text

MISSING 

Distinct351
Distinct (%)22.7%
Missing1222
Missing (%)44.2%
Memory size21.7 KiB
2024-03-15T00:34:31.938049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters15450
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

Unique84 ?
Unique (%)5.4%

Sample

1st row2006-07-24
2nd row2006-07-24
3rd row2006-07-24
4th row2006-07-24
5th row2006-07-12
ValueCountFrequency (%)
2015-11-23 27
 
1.7%
2023-05-11 22
 
1.4%
2021-11-24 20
 
1.3%
2020-05-18 18
 
1.2%
2019-09-18 17
 
1.1%
2022-03-21 17
 
1.1%
2021-07-19 17
 
1.1%
2019-03-25 16
 
1.0%
2023-10-10 16
 
1.0%
2023-09-08 15
 
1.0%
Other values (341) 1360
88.0%
2024-03-15T00:34:34.525534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3508
22.7%
2 3120
20.2%
- 3090
20.0%
1 2812
18.2%
9 497
 
3.2%
3 489
 
3.2%
7 450
 
2.9%
6 419
 
2.7%
8 364
 
2.4%
5 359
 
2.3%
Other values (2) 342
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12358
80.0%
Dash Punctuation 3090
 
20.0%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3508
28.4%
2 3120
25.2%
1 2812
22.8%
9 497
 
4.0%
3 489
 
4.0%
7 450
 
3.6%
6 419
 
3.4%
8 364
 
2.9%
5 359
 
2.9%
4 340
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 3090
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15450
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3508
22.7%
2 3120
20.2%
- 3090
20.0%
1 2812
18.2%
9 497
 
3.2%
3 489
 
3.2%
7 450
 
2.9%
6 419
 
2.7%
8 364
 
2.4%
5 359
 
2.3%
Other values (2) 342
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3508
22.7%
2 3120
20.2%
- 3090
20.0%
1 2812
18.2%
9 497
 
3.2%
3 489
 
3.2%
7 450
 
2.9%
6 419
 
2.7%
8 364
 
2.4%
5 359
 
2.3%
Other values (2) 342
 
2.2%

1차 처리일
Date

MISSING 

Distinct160
Distinct (%)18.7%
Missing1913
Missing (%)69.1%
Memory size21.7 KiB
Minimum2016-04-20 00:00:00
Maximum2023-12-08 00:00:00
2024-03-15T00:34:34.841603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:35.242469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

1차 처리결과
Categorical

IMBALANCE 

Distinct32
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
처리-가결(원안)
1990 
처리-가결(수정)
340 
<NA>
224 
접수
 
69
보류
 
24
Other values (27)
 
120

Length

Max length10
Median length9
Mean length8.1546802
Min length2

Unique

Unique14 ?
Unique (%)0.5%

Sample

1st row처리-가결(원안)
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
처리-가결(원안) 1990
71.9%
처리-가결(수정) 340
 
12.3%
<NA> 224
 
8.1%
접수 69
 
2.5%
보류 24
 
0.9%
처리-철회 21
 
0.8%
찬성의견 20
 
0.7%
부결 17
 
0.6%
처리-부결 9
 
0.3%
원안 8
 
0.3%
Other values (22) 45
 
1.6%

Length

2024-03-15T00:34:35.670106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
처리-가결(원안 1990
71.7%
처리-가결(수정 340
 
12.2%
na 224
 
8.1%
접수 69
 
2.5%
보류 24
 
0.9%
처리-철회 21
 
0.8%
찬성의견 20
 
0.7%
부결 17
 
0.6%
의견제시 10
 
0.4%
처리-부결 9
 
0.3%
Other values (25) 52
 
1.9%
Distinct637
Distinct (%)25.5%
Missing271
Missing (%)9.8%
Memory size21.7 KiB
Minimum1991-04-16 00:00:00
Maximum2023-12-08 00:00:00
2024-03-15T00:34:35.906638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:36.328751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2차 보고일
Date

MISSING 

Distinct139
Distinct (%)14.4%
Missing1805
Missing (%)65.2%
Memory size21.7 KiB
Minimum1991-12-17 00:00:00
Maximum2023-12-11 00:00:00
2024-03-15T00:34:36.681449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:36.950778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2차 상정일
Date

MISSING 

Distinct486
Distinct (%)19.5%
Missing280
Missing (%)10.1%
Memory size21.7 KiB
Minimum1944-06-02 00:00:00
Maximum2023-12-11 00:00:00
2024-03-15T00:34:37.344692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:37.774619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2차 처리일
Date

MISSING 

Distinct241
Distinct (%)16.5%
Missing1308
Missing (%)47.3%
Memory size21.7 KiB
Minimum1991-11-11 00:00:00
Maximum2023-12-11 00:00:00
2024-03-15T00:34:38.189212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:38.600161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2차 처리결과
Categorical

IMBALANCE 

Distinct25
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
처리-가결(원안)
2052 
처리-가결(수정)
349 
<NA>
284 
찬성의견
 
19
처리-부결
 
13
Other values (20)
 
50

Length

Max length10
Median length9
Mean length8.3523672
Min length2

Unique

Unique9 ?
Unique (%)0.3%

Sample

1st row처리-가결(원안)
2nd row처리-가결(원안)
3rd row의견서채택
4th row처리-가결(원안)
5th row원안채택

Common Values

ValueCountFrequency (%)
처리-가결(원안) 2052
74.2%
처리-가결(수정) 349
 
12.6%
<NA> 284
 
10.3%
찬성의견 19
 
0.7%
처리-부결 13
 
0.5%
원안채택 11
 
0.4%
찬성 의견제시 5
 
0.2%
건의안채택 4
 
0.1%
접수 4
 
0.1%
의견제시 4
 
0.1%
Other values (15) 22
 
0.8%

Length

2024-03-15T00:34:39.050751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
처리-가결(원안 2052
73.9%
처리-가결(수정 349
 
12.6%
na 284
 
10.2%
찬성의견 19
 
0.7%
처리-부결 13
 
0.5%
원안채택 11
 
0.4%
의견제시 9
 
0.3%
찬성 6
 
0.2%
건의안채택 4
 
0.1%
접수 4
 
0.1%
Other values (17) 24
 
0.9%

집행부이송일
Date

MISSING 

Distinct457
Distinct (%)19.5%
Missing421
Missing (%)15.2%
Memory size21.7 KiB
Minimum1991-04-19 00:00:00
Maximum2023-12-11 00:00:00
2024-03-15T00:34:39.461684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:40.088494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일
Date

MISSING 

Distinct208
Distinct (%)24.0%
Missing1899
Missing (%)68.6%
Memory size21.7 KiB
Minimum1991-04-26 00:00:00
Maximum2023-12-13 00:00:00
2024-03-15T00:34:40.350314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:34:40.610896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Text

MISSING 

Distinct845
Distinct (%)99.2%
Missing1915
Missing (%)69.2%
Memory size21.7 KiB
2024-03-15T00:34:41.924849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.2453052
Min length2

Characters and Unicode

Total characters3617
Distinct characters23
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

Unique838 ?
Unique (%)98.4%

Sample

1st row남구조례 제233호
2nd row남구조례 제234호
3rd row남구의회규칙제3호
4th row남구조례 240호
5th row남구의회규칙제4호
ValueCountFrequency (%)
조례 6
 
0.7%
남구조례 3
 
0.3%
955 2
 
0.2%
958 2
 
0.2%
제1018호 2
 
0.2%
937 2
 
0.2%
1397 2
 
0.2%
885 2
 
0.2%
977 2
 
0.2%
1226 1
 
0.1%
Other values (837) 837
97.2%
2024-03-15T00:34:43.691198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 746
20.6%
278
 
7.7%
275
 
7.6%
8 271
 
7.5%
9 269
 
7.4%
2 266
 
7.4%
5 259
 
7.2%
7 250
 
6.9%
3 250
 
6.9%
0 242
 
6.7%
Other values (13) 511
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3016
83.4%
Other Letter 591
 
16.3%
Space Separator 9
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
278
47.0%
275
46.5%
9
 
1.5%
9
 
1.5%
5
 
0.8%
5
 
0.8%
2
 
0.3%
2
 
0.3%
2
 
0.3%
2
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 746
24.7%
8 271
 
9.0%
9 269
 
8.9%
2 266
 
8.8%
5 259
 
8.6%
7 250
 
8.3%
3 250
 
8.3%
0 242
 
8.0%
6 237
 
7.9%
4 226
 
7.5%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3026
83.7%
Hangul 591
 
16.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 746
24.7%
8 271
 
9.0%
9 269
 
8.9%
2 266
 
8.8%
5 259
 
8.6%
7 250
 
8.3%
3 250
 
8.3%
0 242
 
8.0%
6 237
 
7.8%
4 226
 
7.5%
Other values (2) 10
 
0.3%
Hangul
ValueCountFrequency (%)
278
47.0%
275
46.5%
9
 
1.5%
9
 
1.5%
5
 
0.8%
5
 
0.8%
2
 
0.3%
2
 
0.3%
2
 
0.3%
2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3026
83.7%
Hangul 591
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 746
24.7%
8 271
 
9.0%
9 269
 
8.9%
2 266
 
8.8%
5 259
 
8.6%
7 250
 
8.3%
3 250
 
8.3%
0 242
 
8.0%
6 237
 
7.8%
4 226
 
7.5%
Other values (2) 10
 
0.3%
Hangul
ValueCountFrequency (%)
278
47.0%
275
46.5%
9
 
1.5%
9
 
1.5%
5
 
0.8%
5
 
0.8%
2
 
0.3%
2
 
0.3%
2
 
0.3%
2
 
0.3%

Sample

대수의안번호회기의안명발의자발의의원발의일소관위원회위원회 회부일1차 보고일1차 상정일1차 처리일1차 처리결과본회의 결과보고서 접수일2차 보고일2차 상정일2차 처리일2차 처리결과집행부이송일공포일공포번호
0110구간 행정구역 조정동의안남구청장<NA>1992-04-25총무위원회1992-04-30<NA><NA><NA>처리-가결(원안)1992-06-16<NA>1992-06-16<NA>처리-가결(원안)1992-06-17<NA><NA>
11101990년도 세입·세출 결산승인의건남구청장<NA>1991-11-27예산결산특별위원회1991-12-02<NA><NA><NA><NA><NA><NA>1991-12-171991-12-17처리-가결(원안)1991-12-19<NA><NA>
2110수영천변 계획도로변경에관한 청원김영우의원소개 이학수외283명<NA>1991-11-11청원심사특별위원회1991-11-11<NA><NA><NA><NA><NA><NA>1991-12-02<NA>의견서채택<NA><NA><NA>
3110부산직할시 남구 의회기및의원배지에관한 규칙안유영기의원외 10인<NA>1991-11-04<NA><NA><NA><NA><NA><NA>1991-11-11<NA>1991-11-11<NA>처리-가결(원안)<NA><NA><NA>
4110구정현황및 지역개발사업파악을위한 현장순방 활동결의안조해수의원외 10인<NA>1991-10-18<NA><NA><NA><NA><NA><NA>1991-10-21<NA>1991-10-21<NA>원안채택1991-10-23<NA><NA>
51101991년도 제2회 추가경정 예산안남구청장<NA>1991-09-03예산결산특별위원회1991-09-09<NA><NA><NA>처리-가결(수정)1991-09-14<NA>1991-09-14<NA>처리-가결(수정)1991-09-16<NA><NA>
6110남부소방서 설치에 관한 건의안손원익의원외 12인<NA>1991-06-25<NA><NA><NA><NA><NA><NA>1991-06-25<NA>1991-07-03<NA>처리-가결(원안)1991-07-05<NA><NA>
7110부산직할시남구의회결산검사위원선임운영및실비변상조례안차인규의원외 8명<NA>1991-04-15<NA><NA><NA><NA><NA><NA>1991-04-16<NA>1991-04-16<NA>처리-가결(원안)1991-04-191991-04-26남구조례 제233호
8120부산직할시 남구 민락동 현대아파트 수영동 편입요청조해수(수영)의원소개 김영석외732명<NA>1994-12-17총무위원회1994-12-19<NA><NA><NA>의견서채택1994-12-29<NA>1994-12-29<NA>의견서채택1994-12-31<NA><NA>
9120공유재산관리계획 변경동의안남구청장<NA>1992-10-01총무위원회1992-10-09<NA><NA><NA>처리-가결(원안)1992-10-16<NA>1992-10-16<NA>처리-가결(원안)1992-10-19<NA><NA>
대수의안번호회기의안명발의자발의의원발의일소관위원회위원회 회부일1차 보고일1차 상정일1차 처리일1차 처리결과본회의 결과보고서 접수일2차 보고일2차 상정일2차 처리일2차 처리결과집행부이송일공포일공포번호
275791873232024년도 예산안남구청장<NA>2023-11-20경제복지도시위원회2023-11-212023-12-042023-12-042023-12-06처리-가결(수정)2023-12-06<NA><NA><NA><NA><NA><NA><NA>
275891873232024년도 예산안남구청장<NA>2023-11-20예산결산특별위원회2023-12-072023-12-072023-12-072023-12-08처리-가결(수정)2023-12-072023-12-112023-12-112023-12-11처리-가결(수정)2023-12-11<NA><NA>
275991883232024년도 기금운용계획안남구청장<NA>2023-11-20기획행정위원회2023-11-212023-12-042023-12-042023-12-06처리-가결(원안)2023-12-06<NA><NA><NA><NA><NA><NA><NA>
276091883232024년도 기금운용계획안남구청장<NA>2023-11-20경제복지도시위원회2023-11-212023-12-042023-12-042023-12-06처리-가결(원안)2023-12-06<NA><NA><NA><NA><NA><NA><NA>
276191883232024년도 기금운용계획안남구청장<NA>2023-11-20예산결산특별위원회2023-12-072023-12-072023-12-072023-12-08처리-가결(원안)2023-12-082023-12-112023-12-112023-12-11처리-가결(원안)2023-12-11<NA><NA>
27629189323부산광역시 남구 숙련기술장인 육성 및 지원에 관한 조례안박미순 의원 외 12명고선화, 김근우, 김철현, 박경숙, 박구슬, 박미순, 박찬, 박창현, 백석민, 서성부, 이영경, 이종현, 허미향2023-11-24경제복지도시위원회2023-11-302023-12-042023-12-042023-12-04처리-가결(원안)2023-12-042023-12-112023-12-112023-12-11처리-가결(원안)2023-12-11<NA><NA>
27639190323부산광역시 남구 학교 등의 급식에 방사능 등 유해물질로부터 안전한 식재료 사용 지원에 관한 조례안박구슬 의원 외 12명고선화, 김근우, 김철현, 박경숙, 박구슬, 박미순, 박찬, 박창현, 백석민, 서성부, 이영경, 이종현, 허미향2023-11-24경제복지도시위원회2023-11-302023-12-042023-12-042023-12-04처리-가결(원안)2023-12-042023-12-112023-12-112023-12-11처리-가결(원안)2023-12-11<NA><NA>
27649191323특별위원회 위원 사·보임건의장<NA>2023-11-30본회의<NA><NA><NA><NA>접수<NA>2023-11-302023-11-302023-11-30처리-가결(원안)<NA>2023-12-13<NA>
276591923232023년도 행정사무감사 결과보고서 채택의 건기획행정위원회<NA>2023-12-04기획행정위원회<NA>2023-12-042023-12-042023-12-04처리-가결(원안)2023-12-042023-12-112023-12-112023-12-11처리-가결(원안)<NA><NA><NA>
276691923232023년도 행정사무감사 결과보고서 채택의 건경제복지도시위원회<NA>2023-12-04경제복지도시위원회<NA>2023-12-042023-12-042023-12-04처리-가결(원안)2023-12-042023-12-112023-12-112023-12-11처리-가결(원안)<NA><NA><NA>

Duplicate rows

Most frequently occurring

대수의안번호회기의안명발의자발의의원발의일소관위원회위원회 회부일1차 보고일1차 상정일1차 처리일1차 처리결과본회의 결과보고서 접수일2차 보고일2차 상정일2차 처리일2차 처리결과집행부이송일공포일공포번호# duplicates
1711402016년도 부산광역시 남구 공유재산 관리계획안남구청장<NA>2015-11-10총무위원회2015-11-112015-11-232015-11-23<NA>처리-가결(원안)2015-11-232015-11-302015-11-302015-11-30처리-가결(원안)2015-11-30<NA><NA>6
0620902013년도 제2회 추가경정 세입세출 예산안남구청장<NA>2013-12-05운영위원회2013-12-062013-12-132013-12-13<NA>처리-가결(원안)2013-12-13<NA><NA><NA><NA><NA><NA><NA>2
28363302부산광역시 남구 노래연습장업자 교육에 관한 조례안남구청장<NA>2021-10-29기획행정위원회2021-11-022021-11-242021-11-242021-11-24처리-가결(원안)2021-11-242021-12-012021-12-012021-12-01처리-가결(원안)2021-12-01<NA><NA>2
38364302부산광역시 남구 아동복지 조례 일부개정조례안남구청장<NA>2021-10-29경제복지도시위원회2021-11-022021-11-252021-11-252021-11-25처리-가결(원안)2021-11-252021-12-012021-12-012021-12-01처리-가결(원안)2021-12-01<NA><NA>2