Overview

Dataset statistics

Number of variables12
Number of observations277
Missing cells24
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory100.5 B

Variable types

Categorical5
Text4
DateTime1
Numeric2

Dataset

Description각종 위원회 심의 결과 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=KBARXS3ZCJCH6TTU171R18727043&infSeq=1

Alerts

집계년도 has constant value ""Constant
비고 has constant value ""Constant
데이터수집일자 has constant value ""Constant
의원불참수(명) is highly overall correlated with 담당부서명High correlation
담당부서명 is highly overall correlated with 의원불참수(명)High correlation
의원불참수(명) has 17 (6.1%) missing valuesMissing
향후계획 has 7 (2.5%) missing valuesMissing
의원불참수(명) has 120 (43.3%) zerosZeros

Reproduction

Analysis started2023-12-10 21:50:50.927764
Analysis finished2023-12-10 21:50:52.268906
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2022
277 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2022 277
100.0%

Length

2023-12-11T06:50:52.322477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:52.404405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 277
100.0%

집계분기
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1분기
111 
2분기
99 
3분기
67 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3분기
2nd row3분기
3rd row3분기
4th row3분기
5th row3분기

Common Values

ValueCountFrequency (%)
1분기 111
40.1%
2분기 99
35.7%
3분기 67
24.2%

Length

2023-12-11T06:50:52.495542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:52.576121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1분기 111
40.1%
2분기 99
35.7%
3분기 67
24.2%

위원회명
Text

Distinct126
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T06:50:52.732434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length12.801444
Min length5

Characters and Unicode

Total characters3546
Distinct characters168
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)32.1%

Sample

1st row건축경관공동위원회(강행)
2nd row건축경관공동위원회(강행)
3rd row건축경관공동위원회(강행)
4th row건축경관공동위원회(강행)
5th row건축위원회(강행)
ValueCountFrequency (%)
경기도 107
 
21.8%
경기도지방토지수용위원회 18
 
3.7%
도시계획(분과)위원회 16
 
3.3%
경기도문화재위원회(유형문화재분과 12
 
2.4%
경관위원회 12
 
2.4%
도시계획위원회 12
 
2.4%
건축위원회 11
 
2.2%
경기도문화재위원회(기념물분과 10
 
2.0%
위원회 10
 
2.0%
옴부즈만 9
 
1.8%
Other values (124) 273
55.7%
2023-12-11T06:50:53.092796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 310
 
8.7%
원 277
 
7.8%
위 272
 
7.7%
213
 
6.0%
도 212
 
6.0%
경 201
 
5.7%
기 199
 
5.6%
지 84
 
2.4%
심 64
 
1.8%
제 61
 
1.7%
Other values (158) 1653
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3117
87.9%
Space Separator 213
 
6.0%
Decimal Number 94
 
2.7%
Open Punctuation 59
 
1.7%
Close Punctuation 59
 
1.7%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 310
 
9.9%
원 277
 
8.9%
위 272
 
8.7%
도 212
 
6.8%
경 201
 
6.4%
기 199
 
6.4%
지 84
 
2.7%
심 64
 
2.1%
제 61
 
2.0%
재 58
 
1.9%
Other values (143) 1379
44.2%
Decimal Number
ValueCountFrequency (%)
2 30
31.9%
1 29
30.9%
0 10
 
10.6%
3 5
 
5.3%
5 5
 
5.3%
4 5
 
5.3%
6 4
 
4.3%
9 2
 
2.1%
7 2
 
2.1%
8 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3117
87.9%
Common 429
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 310
 
9.9%
원 277
 
8.9%
위 272
 
8.7%
도 212
 
6.8%
경 201
 
6.4%
기 199
 
6.4%
지 84
 
2.7%
심 64
 
2.1%
제 61
 
2.0%
재 58
 
1.9%
Other values (143) 1379
44.2%
Common
ValueCountFrequency (%)
213
49.7%
( 59
 
13.8%
) 59
 
13.8%
2 30
 
7.0%
1 29
 
6.8%
0 10
 
2.3%
3 5
 
1.2%
5 5
 
1.2%
4 5
 
1.2%
6 4
 
0.9%
Other values (5) 10
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3117
87.9%
ASCII 427
 
12.0%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 310
 
9.9%
원 277
 
8.9%
위 272
 
8.7%
도 212
 
6.8%
경 201
 
6.4%
기 199
 
6.4%
지 84
 
2.7%
심 64
 
2.1%
제 61
 
2.0%
재 58
 
1.9%
Other values (143) 1379
44.2%
ASCII
ValueCountFrequency (%)
213
49.9%
( 59
 
13.8%
) 59
 
13.8%
2 30
 
7.0%
1 29
 
6.8%
0 10
 
2.3%
3 5
 
1.2%
5 5
 
1.2%
4 5
 
1.2%
6 4
 
0.9%
Other values (4) 8
 
1.9%
None
ValueCountFrequency (%)
· 2
100.0%

담당부서명
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
건축디자인과
54 
도시정책과
33 
문화유산과
25 
조사담당관
20 
예산담당관
20 
Other values (36)
125 

Length

Max length7
Median length5
Mean length5.3249097
Min length3

Unique

Unique14 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
건축디자인과 54
19.5%
도시정책과 33
11.9%
문화유산과 25
 
9.0%
조사담당관 20
 
7.2%
예산담당관 20
 
7.2%
지역정책과 18
 
6.5%
토지정보과 10
 
3.6%
자연재난과 10
 
3.6%
비전전략담당관 10
 
3.6%
정신건강과 9
 
3.2%
Other values (31) 68
24.5%

Length

2023-12-11T06:50:53.223787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건축디자인과 54
19.5%
도시정책과 33
11.9%
문화유산과 25
 
9.0%
조사담당관 20
 
7.2%
예산담당관 20
 
7.2%
지역정책과 18
 
6.5%
토지정보과 10
 
3.6%
자연재난과 10
 
3.6%
비전전략담당관 10
 
3.6%
정신건강과 9
 
3.2%
Other values (31) 68
24.5%

심의일자
Date

Distinct137
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2022-01-06 00:00:00
Maximum2022-09-30 00:00:00
2023-12-11T06:50:53.354608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:53.477584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

심의안건내용
Text

Distinct254
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T06:50:53.722214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length52
Mean length30.422383
Min length6

Characters and Unicode

Total characters8427
Distinct characters378
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)86.6%

Sample

1st row화성시 향남2지구 M1 BL 오피스텔 건축허가 사전승인 및 경관심의
2nd row시흥시 월곶동 1002-9 오피스텔 건축허가 사전승인 및 경관심의
3rd row의정부시 의정부동 9-43 주상복합
4th row안산 고잔동 542-1 오피스텔 건축허가 사전승인 및 경관심의
5th row경기 한옥건축 소규모 수선 긴급지원 사업 지원대상 선정 및 사업내용 변경 심의(13건)
ValueCountFrequency (%)
등 114
 
6.4%
및 66
 
3.7%
경기도 34
 
1.9%
2022년 29
 
1.6%
심의 25
 
1.4%
신청(안 19
 
1.1%
대한 19
 
1.1%
도지정문화재 19
 
1.1%
현상변경 19
 
1.1%
주변 19
 
1.1%
Other values (775) 1414
79.6%
2023-12-11T06:50:54.126975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1510
 
17.9%
2 242
 
2.9%
건 198
 
2.3%
사 194
 
2.3%
) 166
 
2.0%
( 164
 
1.9%
지 163
 
1.9%
시 153
 
1.8%
도 139
 
1.6%
정 137
 
1.6%
Other values (368) 5361
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5712
67.8%
Space Separator 1510
 
17.9%
Decimal Number 666
 
7.9%
Close Punctuation 187
 
2.2%
Open Punctuation 184
 
2.2%
Other Punctuation 59
 
0.7%
Uppercase Letter 51
 
0.6%
Dash Punctuation 27
 
0.3%
Other Symbol 26
 
0.3%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 198
 
3.5%
사 194
 
3.4%
지 163
 
2.9%
시 153
 
2.7%
도 139
 
2.4%
정 137
 
2.4%
의 124
 
2.2%
등 124
 
2.2%
업 123
 
2.2%
경 110
 
1.9%
Other values (324) 4247
74.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
11.8%
L 5
 
9.8%
T 4
 
7.8%
G 4
 
7.8%
I 4
 
7.8%
A 4
 
7.8%
M 3
 
5.9%
O 3
 
5.9%
E 3
 
5.9%
V 2
 
3.9%
Other values (8) 13
25.5%
Decimal Number
ValueCountFrequency (%)
2 242
36.3%
1 131
19.7%
0 86
 
12.9%
3 60
 
9.0%
5 39
 
5.9%
4 33
 
5.0%
7 25
 
3.8%
6 19
 
2.9%
9 18
 
2.7%
8 13
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 31
52.5%
· 13
22.0%
. 7
 
11.9%
? 6
 
10.2%
: 2
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 166
88.8%
] 20
 
10.7%
」 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 164
89.1%
[ 19
 
10.3%
「 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Symbol
ValueCountFrequency (%)
○ 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5710
67.8%
Common 2662
31.6%
Latin 53
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 198
 
3.5%
사 194
 
3.4%
지 163
 
2.9%
시 153
 
2.7%
도 139
 
2.4%
정 137
 
2.4%
의 124
 
2.2%
등 124
 
2.2%
업 123
 
2.2%
경 110
 
1.9%
Other values (322) 4245
74.3%
Common
ValueCountFrequency (%)
1510
56.7%
2 242
 
9.1%
) 166
 
6.2%
( 164
 
6.2%
1 131
 
4.9%
0 86
 
3.2%
3 60
 
2.3%
5 39
 
1.5%
4 33
 
1.2%
, 31
 
1.2%
Other values (15) 200
 
7.5%
Latin
ValueCountFrequency (%)
B 6
 
11.3%
L 5
 
9.4%
T 4
 
7.5%
G 4
 
7.5%
I 4
 
7.5%
A 4
 
7.5%
M 3
 
5.7%
O 3
 
5.7%
E 3
 
5.7%
V 2
 
3.8%
Other values (9) 15
28.3%
Han
ValueCountFrequency (%)
茶 1
50.0%
台 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5703
67.7%
ASCII 2674
31.7%
Geometric Shapes 26
 
0.3%
None 15
 
0.2%
Compat Jamo 7
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1510
56.5%
2 242
 
9.1%
) 166
 
6.2%
( 164
 
6.1%
1 131
 
4.9%
0 86
 
3.2%
3 60
 
2.2%
5 39
 
1.5%
4 33
 
1.2%
, 31
 
1.2%
Other values (30) 212
 
7.9%
Hangul
ValueCountFrequency (%)
건 198
 
3.5%
사 194
 
3.4%
지 163
 
2.9%
시 153
 
2.7%
도 139
 
2.4%
정 137
 
2.4%
의 124
 
2.2%
등 124
 
2.2%
업 123
 
2.2%
경 110
 
1.9%
Other values (319) 4238
74.3%
Geometric Shapes
ValueCountFrequency (%)
○ 26
100.0%
None
ValueCountFrequency (%)
· 13
86.7%
」 1
 
6.7%
「 1
 
6.7%
Compat Jamo
ValueCountFrequency (%)
ㅇ 5
71.4%
ㅖ 1
 
14.3%
ㆍ 1
 
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%
CJK
ValueCountFrequency (%)
台 1
100.0%

심의결과
Text

Distinct185
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T06:50:54.459930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length36
Mean length11.610108
Min length2

Characters and Unicode

Total characters3216
Distinct characters152
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)55.2%

Sample

1st row조건부의결
2nd row조건부의결
3rd row조건부의결
4th row조건부의결
5th row원안의결
ValueCountFrequency (%)
1건 99
 
11.5%
의결 63
 
7.3%
조건부 54
 
6.3%
가결 41
 
4.8%
2건 39
 
4.5%
원안가결 39
 
4.5%
부결 22
 
2.6%
재심의 22
 
2.6%
조건부의결 19
 
2.2%
원안재결 18
 
2.1%
Other values (188) 445
51.7%
2023-12-11T06:50:54.972189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602
18.7%
건 358
 
11.1%
결 252
 
7.8%
1 170
 
5.3%
의 165
 
5.1%
부 118
 
3.7%
, 116
 
3.6%
원 107
 
3.3%
조 106
 
3.3%
가 104
 
3.2%
Other values (142) 1118
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2043
63.5%
Space Separator 602
 
18.7%
Decimal Number 380
 
11.8%
Other Punctuation 149
 
4.6%
Open Punctuation 21
 
0.7%
Close Punctuation 21
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 358
17.5%
결 252
12.3%
의 165
 
8.1%
부 118
 
5.8%
원 107
 
5.2%
조 106
 
5.2%
가 104
 
5.1%
안 96
 
4.7%
재 58
 
2.8%
심 57
 
2.8%
Other values (123) 622
30.4%
Decimal Number
ValueCountFrequency (%)
1 170
44.7%
2 70
18.4%
3 28
 
7.4%
5 23
 
6.1%
4 21
 
5.5%
7 18
 
4.7%
6 14
 
3.7%
8 13
 
3.4%
9 12
 
3.2%
0 11
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 116
77.9%
: 9
 
6.0%
· 7
 
4.7%
. 6
 
4.0%
" 6
 
4.0%
? 5
 
3.4%
Space Separator
ValueCountFrequency (%)
602
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2043
63.5%
Common 1173
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 358
17.5%
결 252
12.3%
의 165
 
8.1%
부 118
 
5.8%
원 107
 
5.2%
조 106
 
5.2%
가 104
 
5.1%
안 96
 
4.7%
재 58
 
2.8%
심 57
 
2.8%
Other values (123) 622
30.4%
Common
ValueCountFrequency (%)
602
51.3%
1 170
 
14.5%
, 116
 
9.9%
2 70
 
6.0%
3 28
 
2.4%
5 23
 
2.0%
( 21
 
1.8%
4 21
 
1.8%
) 21
 
1.8%
7 18
 
1.5%
Other values (9) 83
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2043
63.5%
ASCII 1166
36.3%
None 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
602
51.6%
1 170
 
14.6%
, 116
 
9.9%
2 70
 
6.0%
3 28
 
2.4%
5 23
 
2.0%
( 21
 
1.8%
4 21
 
1.8%
) 21
 
1.8%
7 18
 
1.5%
Other values (8) 76
 
6.5%
Hangul
ValueCountFrequency (%)
건 358
17.5%
결 252
12.3%
의 165
 
8.1%
부 118
 
5.8%
원 107
 
5.2%
조 106
 
5.2%
가 104
 
5.1%
안 96
 
4.7%
재 58
 
2.8%
심 57
 
2.8%
Other values (123) 622
30.4%
None
ValueCountFrequency (%)
· 7
100.0%

의원참석수(명)
Real number (ℝ)

Distinct25
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.151625
Minimum3
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T06:50:55.095616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median10
Q313
95-th percentile19.2
Maximum132
Range129
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.925909
Coefficient of variation (CV)0.97975936
Kurtosis94.636996
Mean11.151625
Median Absolute Deviation (MAD)3
Skewness8.9963991
Sum3089
Variance119.37548
MonotonicityNot monotonic
2023-12-11T06:50:55.198648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10 34
12.3%
7 33
11.9%
9 32
11.6%
8 25
9.0%
13 24
8.7%
6 21
7.6%
11 20
7.2%
5 16
 
5.8%
14 14
 
5.1%
12 10
 
3.6%
Other values (15) 48
17.3%
ValueCountFrequency (%)
3 7
 
2.5%
4 3
 
1.1%
5 16
5.8%
6 21
7.6%
7 33
11.9%
8 25
9.0%
9 32
11.6%
10 34
12.3%
11 20
7.2%
12 10
 
3.6%
ValueCountFrequency (%)
132 1
 
0.4%
124 1
 
0.4%
29 1
 
0.4%
28 1
 
0.4%
23 1
 
0.4%
22 2
 
0.7%
21 5
1.8%
20 2
 
0.7%
19 7
2.5%
18 7
2.5%

의원불참수(명)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct16
Distinct (%)6.2%
Missing17
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean2.5615385
Minimum0
Maximum27
Zeros120
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T06:50:55.299994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9.05
Maximum27
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.8099059
Coefficient of variation (CV)1.877741
Kurtosis14.92719
Mean2.5615385
Median Absolute Deviation (MAD)1
Skewness3.6328726
Sum666
Variance23.135195
MonotonicityNot monotonic
2023-12-11T06:50:55.396566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 120
43.3%
2 29
 
10.5%
1 28
 
10.1%
3 24
 
8.7%
4 17
 
6.1%
5 12
 
4.3%
6 9
 
3.2%
9 4
 
1.4%
27 4
 
1.4%
8 3
 
1.1%
Other values (6) 10
 
3.6%
(Missing) 17
 
6.1%
ValueCountFrequency (%)
0 120
43.3%
1 28
 
10.1%
2 29
 
10.5%
3 24
 
8.7%
4 17
 
6.1%
5 12
 
4.3%
6 9
 
3.2%
7 1
 
0.4%
8 3
 
1.1%
9 4
 
1.4%
ValueCountFrequency (%)
27 4
1.4%
26 3
 
1.1%
18 1
 
0.4%
12 2
 
0.7%
11 1
 
0.4%
10 2
 
0.7%
9 4
1.4%
8 3
 
1.1%
7 1
 
0.4%
6 9
3.2%

향후계획
Text

MISSING 

Distinct95
Distinct (%)35.2%
Missing7
Missing (%)2.5%
Memory size2.3 KiB
2023-12-11T06:50:55.574546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length14.096296
Min length1

Characters and Unicode

Total characters3806
Distinct characters211
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)26.7%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
위원회 95
 
9.5%
의견 82
 
8.2%
71
 
7.1%
반영하여 60
 
6.0%
및 35
 
3.5%
반영 32
 
3.2%
사업추진 31
 
3.1%
결과 28
 
2.8%
통보 25
 
2.5%
진행 22
 
2.2%
Other values (239) 514
51.7%
2023-12-11T06:50:55.939189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
736
 
19.3%
의 135
 
3.5%
회 112
 
2.9%
원 108
 
2.8%
위 108
 
2.8%
반 97
 
2.5%
영 96
 
2.5%
2 95
 
2.5%
진 88
 
2.3%
견 87
 
2.3%
Other values (201) 2144
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2652
69.7%
Space Separator 736
 
19.3%
Decimal Number 203
 
5.3%
Other Punctuation 93
 
2.4%
Dash Punctuation 70
 
1.8%
Open Punctuation 26
 
0.7%
Close Punctuation 26
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 135
 
5.1%
회 112
 
4.2%
원 108
 
4.1%
위 108
 
4.1%
반 97
 
3.7%
영 96
 
3.6%
진 88
 
3.3%
견 87
 
3.3%
사 76
 
2.9%
추 66
 
2.5%
Other values (180) 1679
63.3%
Decimal Number
ValueCountFrequency (%)
2 95
46.8%
0 51
25.1%
3 12
 
5.9%
1 11
 
5.4%
7 9
 
4.4%
6 7
 
3.4%
4 7
 
3.4%
5 5
 
2.5%
8 4
 
2.0%
9 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 66
71.0%
, 15
 
16.1%
/ 6
 
6.5%
· 2
 
2.2%
' 2
 
2.2%
※ 1
 
1.1%
: 1
 
1.1%
Space Separator
ValueCountFrequency (%)
736
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2652
69.7%
Common 1154
30.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 135
 
5.1%
회 112
 
4.2%
원 108
 
4.1%
위 108
 
4.1%
반 97
 
3.7%
영 96
 
3.6%
진 88
 
3.3%
견 87
 
3.3%
사 76
 
2.9%
추 66
 
2.5%
Other values (180) 1679
63.3%
Common
ValueCountFrequency (%)
736
63.8%
2 95
 
8.2%
- 70
 
6.1%
. 66
 
5.7%
0 51
 
4.4%
( 26
 
2.3%
) 26
 
2.3%
, 15
 
1.3%
3 12
 
1.0%
1 11
 
1.0%
Other values (11) 46
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2652
69.7%
ASCII 1151
30.2%
None 2
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
736
63.9%
2 95
 
8.3%
- 70
 
6.1%
. 66
 
5.7%
0 51
 
4.4%
( 26
 
2.3%
) 26
 
2.3%
, 15
 
1.3%
3 12
 
1.0%
1 11
 
1.0%
Other values (9) 43
 
3.7%
Hangul
ValueCountFrequency (%)
의 135
 
5.1%
회 112
 
4.2%
원 108
 
4.1%
위 108
 
4.1%
반 97
 
3.7%
영 96
 
3.6%
진 88
 
3.3%
견 87
 
3.3%
사 76
 
2.9%
추 66
 
2.5%
Other values (180) 1679
63.3%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
-
277 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 277
100.0%

Length

2023-12-11T06:50:56.060468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:56.138810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
277
100.0%

데이터수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
20221221
277 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20221221
2nd row20221221
3rd row20221221
4th row20221221
5th row20221221

Common Values

ValueCountFrequency (%)
20221221 277
100.0%

Length

2023-12-11T06:50:56.217932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:56.291711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20221221 277
100.0%

Interactions

2023-12-11T06:50:51.769586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:51.601214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:51.843873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:51.683369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:50:56.343023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계분기담당부서명의원참석수(명)의원불참수(명)향후계획
집계분기1.0000.5120.0000.3820.952
담당부서명0.5121.0000.7400.8520.995
의원참석수(명)0.0000.7401.0000.5800.973
의원불참수(명)0.3820.8520.5801.0000.964
향후계획0.9520.9950.9730.9641.000
2023-12-11T06:50:56.443525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계분기담당부서명
집계분기1.0000.274
담당부서명0.2741.000
2023-12-11T06:50:56.715569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의원참석수(명)의원불참수(명)집계분기담당부서명
의원참석수(명)1.0000.0610.0000.442
의원불참수(명)0.0611.0000.2760.513
집계분기0.0000.2761.0000.274
담당부서명0.4420.5130.2741.000

Missing values

2023-12-11T06:50:51.947459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:50:52.118934image/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.
2023-12-11T06:50:52.223048image/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

집계년도집계분기위원회명담당부서명심의일자심의안건내용심의결과의원참석수(명)의원불참수(명)향후계획비고데이터수집일자
020223분기건축경관공동위원회(강행)건축디자인과2022-09-14화성시 향남2지구 M1 BL 오피스텔 건축허가 사전승인 및 경관심의조건부의결140--20221221
120223분기건축경관공동위원회(강행)건축디자인과2022-08-09시흥시 월곶동 1002-9 오피스텔 건축허가 사전승인 및 경관심의조건부의결100--20221221
220223분기건축경관공동위원회(강행)건축디자인과2022-07-26의정부시 의정부동 9-43 주상복합조건부의결90--20221221
320223분기건축경관공동위원회(강행)건축디자인과2022-08-23안산 고잔동 542-1 오피스텔 건축허가 사전승인 및 경관심의조건부의결60--20221221
420223분기건축위원회(강행)건축디자인과2022-08-29경기 한옥건축 소규모 수선 긴급지원 사업 지원대상 선정 및 사업내용 변경 심의(13건)원안의결90--20221221
520223분기건축위원회(강행)건축디자인과2022-08-19화성시 반송동 92-5 오피스텔조건부의결90--20221221
620223분기건축위원회(강행)건축디자인과2022-09-21남양주시 다산지금 공공주택지구 A3 BL 임대주택 구조안전심의조건부의결50--20221221
720223분기건축위원회(강행)건축디자인과2022-07-14시흥시 월곶동 1005-1 오피스텔 건축허가 사전승인조건부의결110--20221221
820223분기경관위원회건축디자인과2022-07-26의정부시 의정부동 9-43 주상복합 건축허가 사전승인 및 경관심의조건부 의결40--20221221
920223분기경관위원회건축디자인과2022-08-09시흥시 월곶동 1002-9 오피스텔 건축허가 사전승인 및 경관심의조건부 의결60--20221221
집계년도집계분기위원회명담당부서명심의일자심의안건내용심의결과의원참석수(명)의원불참수(명)향후계획비고데이터수집일자
26720221분기제3회 경기도 도시계획위원회도시정책과2022-03-04토지거래허가구역 재지정 심의(안) 등 3건원안 의결 1건, 조건부 의결 1건, 재심의 의결 1건211위원회 의견 반영-20221221
26820221분기제4회 경기도 도시계획(분과)위원회도시정책과2022-03-25경기도 산업단지 외 공업지역 물량 배정(안) 자문 건원안 자문 1건120위원회 의견 반영-20221221
26920221분기제4회 경기도 도시계획위원회도시정책과2022-03-25토지거래허가구역 재지정 심의(안) 등 3건원안 의결 1건, 재심의 의결 2건210위원회 의견 반영-20221221
27020221분기주민참여예산위원회(운영위원회)예산담당관2022-01-252022년 주민참여예산 운영 기본계획(안)보고보고 및 토론110<NA>-20221221
27120221분기지방보조금관리위원회예산담당관2022-03-17지방보조금 공모사업자 선정심의(409건)원안가결(409건)114위원회 의견 반영하여 사업추진-20221221
27220221분기지방보조금관리위원회예산담당관2022-01-19지방보조금 공모사업자 선정심의(74건)원안가결(74건)123위원회 의견 반영하여 사업추진-20221221
27320221분기지방보조금관리위원회예산담당관2022-02-17지방보조금 공모사업자 선정심의(220건)원안가결(220건)105위원회 의견 반영하여 사업추진-20221221
27420221분기지방재정계획심의위원회예산담당관2022-03-142021년 지역개발기금 결산(안) 등 4건원안가결 10105기금결산(안) 등 도의회 제출-20221221
27520221분기지역서점위원회콘텐츠정책과2022-01-272022년 상반기 경기도 지역서점 인증(갱신) 등 2건인증(갱신) 심의 11건94상반기 신규인증 심의추진(4월)-20221221
27620221분기지적재조사위원회토지정보과2022-03-2522년 지적재조사사업지구 지정 심의 의결(11개 지구)원안가결 1건81사업지구 지정 고시 및 결과 통보-20221221