Overview

Dataset statistics

Number of variables14
Number of observations1301
Missing cells2676
Missing cells (%)14.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory146.2 KiB
Average record size in memory115.1 B

Variable types

Numeric2
Text5
Categorical4
DateTime2
Boolean1

Dataset

Description서울특별시 의안기본정보 입니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15064449/fileData.do

Alerts

철회여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
의안코드 is highly overall correlated with 회기 and 1 other fieldsHigh correlation
회기 is highly overall correlated with 의안코드 and 1 other fieldsHigh correlation
의안구분명 is highly overall correlated with 발의구분High correlation
위원회 is highly overall correlated with 발의구분High correlation
대정보 is highly overall correlated with 의안코드 and 1 other fieldsHigh correlation
발의구분 is highly overall correlated with 의안구분명 and 1 other fieldsHigh correlation
이송일 has 135 (10.4%) missing valuesMissing
공포일 has 623 (47.9%) missing valuesMissing
공포번호 has 623 (47.9%) missing valuesMissing
비고 has 1295 (99.5%) missing valuesMissing
의안코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:39:55.582356
Analysis finished2023-12-12 08:39:57.330627
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62412.443
Minimum40658
Maximum82003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2023-12-12T17:39:57.424437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40658
5-th percentile40768
Q151028
median61353
Q371678
95-th percentile81938
Maximum82003
Range41345
Interquartile range (IQR)20650

Descriptive statistics

Standard deviation12887.156
Coefficient of variation (CV)0.20648376
Kurtosis-1.0667922
Mean62412.443
Median Absolute Deviation (MAD)10325
Skewness-0.0285095
Sum81198588
Variance1.6607878 × 108
MonotonicityStrictly increasing
2023-12-12T17:39:57.588067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40658 1
 
0.1%
71558 1
 
0.1%
71576 1
 
0.1%
71575 1
 
0.1%
71574 1
 
0.1%
71573 1
 
0.1%
71572 1
 
0.1%
71571 1
 
0.1%
71570 1
 
0.1%
71569 1
 
0.1%
Other values (1291) 1291
99.2%
ValueCountFrequency (%)
40658 1
0.1%
40659 1
0.1%
40660 1
0.1%
40661 1
0.1%
40662 1
0.1%
40663 1
0.1%
40664 1
0.1%
40665 1
0.1%
40666 1
0.1%
40667 1
0.1%
ValueCountFrequency (%)
82003 1
0.1%
82002 1
0.1%
82001 1
0.1%
82000 1
0.1%
81999 1
0.1%
81998 1
0.1%
81997 1
0.1%
81996 1
0.1%
81995 1
0.1%
81994 1
0.1%

의안명
Text

Distinct1054
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2023-12-12T17:39:57.904489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length49
Mean length29.345119
Min length10

Characters and Unicode

Total characters38178
Distinct characters390
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique952 ?
Unique (%)73.2%

Sample

1st row서울특별시금천구제2건국범국민추진위원회설치및운영에관한조례폐지조례안
2nd row서울특별시금천구행정권한위임조례중 개정조례안
3rd row서울특별시금천구공인조례중 개정조례안
4th row서울특별시금천구의회의원의정활동비·회기수당및여비의지급에관한조례중 개정조례안
5th row서울특별시금천구의회회의규칙중 개정규칙안
ValueCountFrequency (%)
서울특별시 798
 
10.8%
금천구 765
 
10.4%
일부개정조례안 397
 
5.4%
및 319
 
4.3%
조례 299
 
4.1%
관한 264
 
3.6%
조례안 194
 
2.6%
설치 123
 
1.7%
운용계획안 100
 
1.4%
금천구의회 84
 
1.1%
Other values (1321) 4019
54.6%
2023-12-12T17:39:58.468189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6066
 
15.9%
구 1299
 
3.4%
안 1296
 
3.4%
조 1292
 
3.4%
례 1249
 
3.3%
금 1218
 
3.2%
시 1055
 
2.8%
별 1017
 
2.7%
특 1013
 
2.7%
천 998
 
2.6%
Other values (380) 21675
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30316
79.4%
Space Separator 6066
 
15.9%
Decimal Number 1426
 
3.7%
Open Punctuation 117
 
0.3%
Close Punctuation 117
 
0.3%
Other Punctuation 108
 
0.3%
Dash Punctuation 15
 
< 0.1%
Uppercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1299
 
4.3%
안 1296
 
4.3%
조 1292
 
4.3%
례 1249
 
4.1%
금 1218
 
4.0%
시 1055
 
3.5%
별 1017
 
3.4%
특 1013
 
3.3%
천 998
 
3.3%
서 941
 
3.1%
Other values (352) 18938
62.5%
Decimal Number
ValueCountFrequency (%)
0 495
34.7%
2 393
27.6%
1 234
16.4%
7 51
 
3.6%
6 48
 
3.4%
3 46
 
3.2%
8 45
 
3.2%
9 42
 
2.9%
4 38
 
2.7%
5 34
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 106
90.6%
「 9
 
7.7%
『 1
 
0.9%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 106
90.6%
」 9
 
7.7%
』 1
 
0.9%
] 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
· 80
74.1%
, 22
 
20.4%
. 4
 
3.7%
" 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
G 6
66.7%
C 2
 
22.2%
K 1
 
11.1%
Space Separator
ValueCountFrequency (%)
6066
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30314
79.4%
Common 7853
 
20.6%
Latin 9
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1299
 
4.3%
안 1296
 
4.3%
조 1292
 
4.3%
례 1249
 
4.1%
금 1218
 
4.0%
시 1055
 
3.5%
별 1017
 
3.4%
특 1013
 
3.3%
천 998
 
3.3%
서 941
 
3.1%
Other values (350) 18936
62.5%
Common
ValueCountFrequency (%)
6066
77.2%
0 495
 
6.3%
2 393
 
5.0%
1 234
 
3.0%
( 106
 
1.3%
) 106
 
1.3%
· 80
 
1.0%
7 51
 
0.6%
6 48
 
0.6%
3 46
 
0.6%
Other values (15) 228
 
2.9%
Latin
ValueCountFrequency (%)
G 6
66.7%
C 2
 
22.2%
K 1
 
11.1%
Han
ValueCountFrequency (%)
共 1
50.0%
有 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30312
79.4%
ASCII 7762
 
20.3%
None 100
 
0.3%
Compat Jamo 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6066
78.1%
0 495
 
6.4%
2 393
 
5.1%
1 234
 
3.0%
( 106
 
1.4%
) 106
 
1.4%
7 51
 
0.7%
6 48
 
0.6%
3 46
 
0.6%
8 45
 
0.6%
Other values (13) 172
 
2.2%
Hangul
ValueCountFrequency (%)
구 1299
 
4.3%
안 1296
 
4.3%
조 1292
 
4.3%
례 1249
 
4.1%
금 1218
 
4.0%
시 1055
 
3.5%
별 1017
 
3.4%
특 1013
 
3.3%
천 998
 
3.3%
서 941
 
3.1%
Other values (349) 18934
62.5%
None
ValueCountFrequency (%)
· 80
80.0%
」 9
 
9.0%
「 9
 
9.0%
『 1
 
1.0%
』 1
 
1.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
CJK
ValueCountFrequency (%)
共 1
50.0%
有 1
50.0%

등록일
Text

Distinct352
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
2023-12-12T17:39:58.814002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters13010
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

Unique172 ?
Unique (%)13.2%

Sample

1st row2003-12-05
2nd row2003-12-05
3rd row2004-01-05
4th row2004-01-13
5th row2004-02-26
ValueCountFrequency (%)
2010-11-18 34
 
2.6%
2019-09-06 29
 
2.2%
2019-11-15 25
 
1.9%
2017-04-13 25
 
1.9%
2011-11-17 24
 
1.8%
2019-05-31 23
 
1.8%
2014-11-17 23
 
1.8%
2013-11-15 23
 
1.8%
2016-11-17 23
 
1.8%
2012-11-16 22
 
1.7%
Other values (342) 1050
80.7%
2023-12-12T17:39:59.361978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3184
24.5%
- 2600
20.0%
1 2515
19.3%
2 1979
15.2%
5 457
 
3.5%
9 450
 
3.5%
7 414
 
3.2%
8 367
 
2.8%
4 357
 
2.7%
6 354
 
2.7%
Other values (2) 333
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10408
80.0%
Dash Punctuation 2600
 
20.0%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3184
30.6%
1 2515
24.2%
2 1979
19.0%
5 457
 
4.4%
9 450
 
4.3%
7 414
 
4.0%
8 367
 
3.5%
4 357
 
3.4%
6 354
 
3.4%
3 331
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 2600
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3184
24.5%
- 2600
20.0%
1 2515
19.3%
2 1979
15.2%
5 457
 
3.5%
9 450
 
3.5%
7 414
 
3.2%
8 367
 
2.8%
4 357
 
2.7%
6 354
 
2.7%
Other values (2) 333
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3184
24.5%
- 2600
20.0%
1 2515
19.3%
2 1979
15.2%
5 457
 
3.5%
9 450
 
3.5%
7 414
 
3.2%
8 367
 
2.8%
4 357
 
2.7%
6 354
 
2.7%
Other values (2) 333
 
2.6%

의안구분명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
조례안
731 
계획안
176 
결의안
82 
승인안
 
72
예산안
 
65
Other values (10)
175 

Length

Max length3
Median length3
Mean length2.9992314
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
조례안 731
56.2%
계획안 176
 
13.5%
결의안 82
 
6.3%
승인안 72
 
5.5%
예산안 65
 
5.0%
요구안 52
 
4.0%
동의안 46
 
3.5%
청취안 35
 
2.7%
선임안 17
 
1.3%
규칙안 11
 
0.8%
Other values (5) 14
 
1.1%

Length

2023-12-12T17:39:59.528852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안 731
56.2%
계획안 176
 
13.5%
결의안 82
 
6.3%
승인안 72
 
5.5%
예산안 65
 
5.0%
요구안 52
 
4.0%
동의안 46
 
3.5%
청취안 35
 
2.7%
선임안 17
 
1.3%
규칙안 11
 
0.8%
Other values (5) 14
 
1.1%

위원회
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
행정재경위원회
385 
복지건설위원회
295 
예산결산특별위원회
219 
본회의
168 
의회운영위원회
96 
Other values (13)
138 

Length

Max length22
Median length7
Mean length6.9584935
Min length3

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
행정재경위원회 385
29.6%
복지건설위원회 295
22.7%
예산결산특별위원회 219
16.8%
본회의 168
12.9%
의회운영위원회 96
 
7.4%
행정복지위원회 48
 
3.7%
행정사무감사특별위원회 30
 
2.3%
재무건설위원회 27
 
2.1%
<NA> 11
 
0.8%
세입증대특별위원회 4
 
0.3%
Other values (8) 18
 
1.4%

Length

2023-12-12T17:39:59.663274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
행정재경위원회 385
29.4%
복지건설위원회 295
22.5%
예산결산특별위원회 219
16.7%
본회의 168
12.8%
의회운영위원회 96
 
7.3%
행정복지위원회 48
 
3.7%
행정사무감사특별위원회 30
 
2.3%
재무건설위원회 27
 
2.1%
na 11
 
0.8%
도시철도(경전철 4
 
0.3%
Other values (10) 27
 
2.1%

이송일
Date

MISSING 

Distinct202
Distinct (%)17.3%
Missing135
Missing (%)10.4%
Memory size10.3 KiB
Minimum2004-01-13 00:00:00
Maximum2020-06-29 00:00:00
2023-12-12T17:39:59.819784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:39:59.972092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일
Text

MISSING 

Distinct132
Distinct (%)19.5%
Missing623
Missing (%)47.9%
Memory size10.3 KiB
2023-12-12T17:40:00.279536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9985251
Min length9

Characters and Unicode

Total characters6779
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 (%)4.1%

Sample

1st row2004-01-20
2nd row2004-01-20
3rd row2004-01-20
4th row2004-01-20
5th row2004-03-11
ValueCountFrequency (%)
2011-01-01 22
 
3.2%
2019-10-10 20
 
2.9%
2019-07-19 18
 
2.7%
2019-12-31 17
 
2.5%
2019-05-09 17
 
2.5%
2015-10-08 16
 
2.4%
2020-07-17 15
 
2.2%
2018-02-27 14
 
2.1%
2016-05-10 14
 
2.1%
2017-10-13 14
 
2.1%
Other values (122) 511
75.4%
2023-12-12T17:40:00.754394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1739
25.7%
- 1350
19.9%
1 1198
17.7%
2 1075
15.9%
7 252
 
3.7%
9 244
 
3.6%
5 218
 
3.2%
3 210
 
3.1%
8 204
 
3.0%
6 150
 
2.2%
Other values (2) 139
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5425
80.0%
Dash Punctuation 1350
 
19.9%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1739
32.1%
1 1198
22.1%
2 1075
19.8%
7 252
 
4.6%
9 244
 
4.5%
5 218
 
4.0%
3 210
 
3.9%
8 204
 
3.8%
6 150
 
2.8%
4 135
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1350
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6779
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1739
25.7%
- 1350
19.9%
1 1198
17.7%
2 1075
15.9%
7 252
 
3.7%
9 244
 
3.6%
5 218
 
3.2%
3 210
 
3.1%
8 204
 
3.0%
6 150
 
2.2%
Other values (2) 139
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1739
25.7%
- 1350
19.9%
1 1198
17.7%
2 1075
15.9%
7 252
 
3.7%
9 244
 
3.6%
5 218
 
3.2%
3 210
 
3.1%
8 204
 
3.0%
6 150
 
2.2%
Other values (2) 139
 
2.1%

공포번호
Text

MISSING 

Distinct674
Distinct (%)99.4%
Missing623
Missing (%)47.9%
Memory size10.3 KiB
2023-12-12T17:40:01.083799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.0368732
Min length2

Characters and Unicode

Total characters2737
Distinct characters20
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

Unique670 ?
Unique (%)98.8%

Sample

1st row391
2nd row393
3rd row392
4th row390
5th row의회규칙제
ValueCountFrequency (%)
조례 6
 
0.9%
504 2
 
0.3%
400 2
 
0.3%
930 2
 
0.3%
396 2
 
0.3%
제861호 1
 
0.1%
제873호 1
 
0.1%
391 1
 
0.1%
제863호 1
 
0.1%
제854호 1
 
0.1%
Other values (666) 666
97.2%
2023-12-12T17:40:01.584433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 290
10.6%
호 281
10.3%
1 258
9.4%
0 241
8.8%
7 235
8.6%
5 233
8.5%
8 231
8.4%
6 229
8.4%
4 222
8.1%
9 214
7.8%
Other values (10) 303
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2137
78.1%
Other Letter 592
 
21.6%
Space Separator 7
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 258
12.1%
0 241
11.3%
7 235
11.0%
5 233
10.9%
8 231
10.8%
6 229
10.7%
4 222
10.4%
9 214
10.0%
3 147
6.9%
2 127
5.9%
Other Letter
ValueCountFrequency (%)
제 290
49.0%
호 281
47.5%
례 6
 
1.0%
조 6
 
1.0%
칙 3
 
0.5%
규 3
 
0.5%
회 2
 
0.3%
의 1
 
0.2%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2145
78.4%
Hangul 592
 
21.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 258
12.0%
0 241
11.2%
7 235
11.0%
5 233
10.9%
8 231
10.8%
6 229
10.7%
4 222
10.3%
9 214
10.0%
3 147
6.9%
2 127
5.9%
Other values (2) 8
 
0.4%
Hangul
ValueCountFrequency (%)
제 290
49.0%
호 281
47.5%
례 6
 
1.0%
조 6
 
1.0%
칙 3
 
0.5%
규 3
 
0.5%
회 2
 
0.3%
의 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2145
78.4%
Hangul 592
 
21.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 290
49.0%
호 281
47.5%
례 6
 
1.0%
조 6
 
1.0%
칙 3
 
0.5%
규 3
 
0.5%
회 2
 
0.3%
의 1
 
0.2%
ASCII
ValueCountFrequency (%)
1 258
12.0%
0 241
11.2%
7 235
11.0%
5 233
10.9%
8 231
10.8%
6 229
10.7%
4 222
10.3%
9 214
10.0%
3 147
6.9%
2 127
5.9%
Other values (2) 8
 
0.4%

비고
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing1295
Missing (%)99.5%
Memory size10.3 KiB
2023-12-12T17:40:01.819753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24.5
Mean length17.5
Min length6

Characters and Unicode

Total characters105
Distinct characters43
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

Unique6 ?
Unique (%)100.0%

Sample

1st row제1안 채택
2nd row2005.3.23. 철회
3rd row의회사무국-695호에 의거 철회(관련 의안894)
4th row상정전 철회
5th row미상정(의회운영위원회 2011.9.30)
ValueCountFrequency (%)
철회 2
14.3%
제1안 1
 
7.1%
채택 1
 
7.1%
2005.3.23 1
 
7.1%
의회사무국-695호에 1
 
7.1%
의거 1
 
7.1%
철회(관련 1
 
7.1%
의안894 1
 
7.1%
상정전 1
 
7.1%
미상정(의회운영위원회 1
 
7.1%
Other values (3) 3
21.4%
2023-12-12T17:40:02.175501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
7.6%
1 7
 
6.7%
. 7
 
6.7%
2 7
 
6.7%
0 7
 
6.7%
회 6
 
5.7%
의 5
 
4.8%
3 4
 
3.8%
9 4
 
3.8%
안 4
 
3.8%
Other values (33) 46
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
44.8%
Decimal Number 36
34.3%
Space Separator 8
 
7.6%
Other Punctuation 7
 
6.7%
Open Punctuation 3
 
2.9%
Close Punctuation 3
 
2.9%
Dash Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 6
 
12.8%
의 5
 
10.6%
안 4
 
8.5%
철 3
 
6.4%
정 3
 
6.4%
호 2
 
4.3%
제 2
 
4.3%
상 2
 
4.3%
원 1
 
2.1%
수 1
 
2.1%
Other values (18) 18
38.3%
Decimal Number
ValueCountFrequency (%)
1 7
19.4%
2 7
19.4%
0 7
19.4%
3 4
11.1%
9 4
11.1%
6 2
 
5.6%
5 2
 
5.6%
4 1
 
2.8%
8 1
 
2.8%
7 1
 
2.8%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58
55.2%
Hangul 47
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 6
 
12.8%
의 5
 
10.6%
안 4
 
8.5%
철 3
 
6.4%
정 3
 
6.4%
호 2
 
4.3%
제 2
 
4.3%
상 2
 
4.3%
원 1
 
2.1%
수 1
 
2.1%
Other values (18) 18
38.3%
Common
ValueCountFrequency (%)
8
13.8%
1 7
12.1%
. 7
12.1%
2 7
12.1%
0 7
12.1%
3 4
6.9%
9 4
6.9%
( 3
 
5.2%
) 3
 
5.2%
6 2
 
3.4%
Other values (5) 6
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58
55.2%
Hangul 47
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
13.8%
1 7
12.1%
. 7
12.1%
2 7
12.1%
0 7
12.1%
3 4
6.9%
9 4
6.9%
( 3
 
5.2%
) 3
 
5.2%
6 2
 
3.4%
Other values (5) 6
10.3%
Hangul
ValueCountFrequency (%)
회 6
 
12.8%
의 5
 
10.6%
안 4
 
8.5%
철 3
 
6.4%
정 3
 
6.4%
호 2
 
4.3%
제 2
 
4.3%
상 2
 
4.3%
원 1
 
2.1%
수 1
 
2.1%
Other values (18) 18
38.3%

대정보
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
5
324 
7
316 
6
308 
8
213 
4
140 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
5 324
24.9%
7 316
24.3%
6 308
23.7%
8 213
16.4%
4 140
10.8%

Length

2023-12-12T17:40:02.357218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:02.470472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 324
24.9%
7 316
24.3%
6 308
23.7%
8 213
16.4%
4 140
10.8%

회기
Real number (ℝ)

HIGH CORRELATION 

Distinct133
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.65796
Minimum1
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.6 KiB
2023-12-12T17:40:02.616196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96
Q1127
median163
Q3200
95-th percentile219
Maximum223
Range222
Interquartile range (IQR)73

Descriptive statistics

Standard deviation41.012088
Coefficient of variation (CV)0.25369669
Kurtosis-1.1370368
Mean161.65796
Median Absolute Deviation (MAD)37
Skewness-0.1871657
Sum210317
Variance1681.9914
MonotonicityNot monotonic
2023-12-12T17:40:02.775207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147 41
 
3.2%
110 33
 
2.5%
138 31
 
2.4%
218 29
 
2.2%
201 27
 
2.1%
155 27
 
2.1%
119 26
 
2.0%
219 26
 
2.0%
101 25
 
1.9%
191 25
 
1.9%
Other values (123) 1011
77.7%
ValueCountFrequency (%)
1 1
 
0.1%
85 4
 
0.3%
86 2
 
0.2%
87 7
 
0.5%
88 4
 
0.3%
89 14
1.1%
90 4
 
0.3%
94 6
 
0.5%
95 9
0.7%
96 19
1.5%
ValueCountFrequency (%)
223 21
1.6%
222 6
 
0.5%
221 16
1.2%
220 3
 
0.2%
219 26
2.0%
218 29
2.2%
217 1
 
0.1%
216 24
1.8%
215 22
1.7%
214 8
 
0.6%

발의구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
구청장
669 
<NA>
331 
의원발의
226 
위원회제안
 
53
의장
 
10
Other values (2)
 
12

Length

Max length5
Median length3
Mean length3.4973098
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구청장 669
51.4%
<NA> 331
25.4%
의원발의 226
 
17.4%
위원회제안 53
 
4.1%
의장 10
 
0.8%
기타 6
 
0.5%
위원장 6
 
0.5%

Length

2023-12-12T17:40:02.926362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:03.053847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구청장 669
51.4%
na 331
25.4%
의원발의 226
 
17.4%
위원회제안 53
 
4.1%
의장 10
 
0.8%
기타 6
 
0.5%
위원장 6
 
0.5%

철회여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
False
1301 
ValueCountFrequency (%)
False 1301
100.0%
2023-12-12T17:40:03.594384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.3 KiB
Minimum2020-09-04 00:00:00
Maximum2020-09-04 00:00:00
2023-12-12T17:40:03.684249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:40:03.781040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:39:56.619287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:39:56.431467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:39:56.723445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:39:56.529993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:40:03.854343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안코드의안구분명위원회비고대정보회기발의구분
의안코드1.0000.2550.6301.0001.0000.9270.278
의안구분명0.2551.0000.7901.0000.3050.2450.805
위원회0.6300.7901.0001.0000.6490.6270.790
비고1.0001.0001.0001.0001.0001.0001.000
대정보1.0000.3050.6491.0001.0000.9010.177
회기0.9270.2450.6271.0000.9011.0000.222
발의구분0.2780.8050.7901.0000.1770.2221.000
2023-12-12T17:40:03.969405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발의구분의안구분명대정보위원회
발의구분1.0000.5640.1200.531
의안구분명0.5641.0000.1340.402
대정보0.1200.1341.0000.403
위원회0.5310.4020.4031.000
2023-12-12T17:40:04.074277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안코드회기의안구분명위원회대정보발의구분
의안코드1.0001.0000.1210.3581.0000.104
회기1.0001.0000.1050.3140.8240.127
의안구분명0.1210.1051.0000.4020.1340.564
위원회0.3580.3140.4021.0000.4030.531
대정보1.0000.8240.1340.4031.0000.120
발의구분0.1040.1270.5640.5310.1201.000

Missing values

2023-12-12T17:39:56.851973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:39:57.078458image/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.
2023-12-12T17:39:57.247876image/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

의안코드의안명등록일의안구분명위원회이송일공포일공포번호비고대정보회기발의구분철회여부데이터기준일자
040658서울특별시금천구제2건국범국민추진위원회설치및운영에관한조례폐지조례안2003-12-05조례안본회의2004-01-132004-01-20391<NA>485구청장N2020-09-04
140659서울특별시금천구행정권한위임조례중 개정조례안2003-12-05조례안본회의2004-01-132004-01-20393<NA>485구청장N2020-09-04
240660서울특별시금천구공인조례중 개정조례안2004-01-05조례안본회의2004-01-132004-01-20392<NA>485구청장N2020-09-04
340661서울특별시금천구의회의원의정활동비·회기수당및여비의지급에관한조례중 개정조례안2004-01-13조례안본회의2004-01-202004-01-20390<NA>485의원발의N2020-09-04
440662서울특별시금천구의회회의규칙중 개정규칙안2004-02-26규칙안본회의2004-03-112004-03-11의회규칙제<NA>496의원발의N2020-09-04
540663구청장 및 관계공무원 출석 요구안2004-02-23요구안본회의2004-03-05<NA><NA><NA>486의원발의N2020-09-04
640664서울특별시금천구자치법규정비특별위원회구성결의안2004-02-23결의안본회의2004-03-11<NA><NA><NA>486의원발의N2020-09-04
7406652004년도금천구공유재산관리계획안2004-04-19계획안본회의2004-04-29<NA><NA><NA>497구청장N2020-09-04
840666서울특별시금천구세조례중 개정조례안2004-02-23조례안본회의2004-05-062005-06-15394<NA>487구청장N2020-09-04
940667서울특별시금천구식품진흥기금조례중 개정조례안2004-04-23조례안본회의2004-05-062004-06-15395<NA>487구청장N2020-09-04
의안코드의안명등록일의안구분명위원회이송일공포일공포번호비고대정보회기발의구분철회여부데이터기준일자
129181994서울특별시 금천구 지역자율방재단 운영 등에 관한 조례 일부개정조례안2020-05-29조례안복지건설위원회2020-06-292020-07-171106<NA>8223구청장N2020-09-04
129281995서울특별시 금천구 유니버설디자인 조례안2020-05-29조례안복지건설위원회2020-06-292020-07-171107<NA>8223구청장N2020-09-04
129381996서울특별시 금천구 민관협치 활성화를 위한 기본조례 일부개정조례안2020-05-29조례안행정재경위원회2020-06-292020-07-171108<NA>8223구청장N2020-09-04
129481997서울특별시금천구승용차요일제지원조례 폐지조례안2020-05-29조례안복지건설위원회2020-06-292020-07-171109<NA>8223구청장N2020-09-04
129581998우리동네키움센터 민간위탁 동의안(금천1,2,3호)2020-05-29동의안행정재경위원회2020-06-29<NA><NA><NA>8223구청장N2020-09-04
129681999서울특별시 금천구 교복 지원 조례 일부개정조례안2020-05-29조례안행정재경위원회2020-06-292020-07-171110<NA>8223의원발의N2020-09-04
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