Overview

Dataset statistics

Number of variables13
Number of observations3544
Missing cells6507
Missing cells (%)14.1%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory367.0 KiB
Average record size in memory106.0 B

Variable types

Categorical5
Numeric2
Text6

Dataset

Description이천시 대수, 의회 회기, 의안번호, 의안명, 의안종류, 발의일, 발의자 , 공동발의의원 , 소관위원회, 위원회부일 등의 의안 데이터 제공
Author경기도 이천시
URLhttps://www.data.go.kr/data/15038098/fileData.do

Alerts

기관명 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
대수 is highly overall correlated with 공포번호High correlation
공포번호 is highly overall correlated with 대수 and 2 other fieldsHigh correlation
의안종류 is highly overall correlated with 공포번호High correlation
위원회처리결과 is highly overall correlated with 본회의처리결과High correlation
본회의처리결과 is highly overall correlated with 공포번호 and 1 other fieldsHigh correlation
위원회처리결과 is highly imbalanced (64.5%)Imbalance
본회의처리결과 is highly imbalanced (76.8%)Imbalance
공동발의의원 has 3087 (87.1%) missing valuesMissing
공포번호 has 3264 (92.1%) missing valuesMissing
본회의회의록 링크주소(URL) has 125 (3.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:16:43.546848
Analysis finished2023-12-12 05:16:45.972096
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
이천시의회
3544 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이천시의회 3544
100.0%

Length

2023-12-12T14:16:46.043821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:16:46.144363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이천시의회 3544
100.0%

대수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0888826
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.3 KiB
2023-12-12T14:16:46.229631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.103919
Coefficient of variation (CV)0.41343438
Kurtosis-0.8593757
Mean5.0888826
Median Absolute Deviation (MAD)1
Skewness-0.56091354
Sum18035
Variance4.4264753
MonotonicityDecreasing
2023-12-12T14:16:46.336465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 902
25.5%
6 683
19.3%
5 454
12.8%
4 341
 
9.6%
1 299
 
8.4%
3 298
 
8.4%
2 290
 
8.2%
8 277
 
7.8%
ValueCountFrequency (%)
1 299
 
8.4%
2 290
 
8.2%
3 298
 
8.4%
4 341
 
9.6%
5 454
12.8%
6 683
19.3%
7 902
25.5%
8 277
 
7.8%
ValueCountFrequency (%)
8 277
 
7.8%
7 902
25.5%
6 683
19.3%
5 454
12.8%
4 341
 
9.6%
3 298
 
8.4%
2 290
 
8.2%
1 299
 
8.4%

회기
Text

Distinct235
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
2023-12-12T14:16:46.700004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.6690181
Min length3

Characters and Unicode

Total characters16547
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.4%

Sample

1st row제237회
2nd row제237회
3rd row제237회
4th row제237회
5th row제237회
ValueCountFrequency (%)
제1회 140
 
4.0%
제225회 60
 
1.7%
제172회 55
 
1.6%
제217회 49
 
1.4%
제196회 45
 
1.3%
제227회 45
 
1.3%
제224회 44
 
1.2%
제232회 42
 
1.2%
제164회 39
 
1.1%
제215회 39
 
1.1%
Other values (225) 2986
84.3%
2023-12-12T14:16:47.179512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 3544
21.4%
회 3544
21.4%
1 2476
15.0%
2 1894
11.4%
3 760
 
4.6%
6 685
 
4.1%
5 652
 
3.9%
7 651
 
3.9%
0 649
 
3.9%
8 572
 
3.5%
Other values (2) 1120
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9459
57.2%
Other Letter 7088
42.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2476
26.2%
2 1894
20.0%
3 760
 
8.0%
6 685
 
7.2%
5 652
 
6.9%
7 651
 
6.9%
0 649
 
6.9%
8 572
 
6.0%
4 563
 
6.0%
9 557
 
5.9%
Other Letter
ValueCountFrequency (%)
제 3544
50.0%
회 3544
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9459
57.2%
Hangul 7088
42.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2476
26.2%
2 1894
20.0%
3 760
 
8.0%
6 685
 
7.2%
5 652
 
6.9%
7 651
 
6.9%
0 649
 
6.9%
8 572
 
6.0%
4 563
 
6.0%
9 557
 
5.9%
Hangul
ValueCountFrequency (%)
제 3544
50.0%
회 3544
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9459
57.2%
Hangul 7088
42.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 3544
50.0%
회 3544
50.0%
ASCII
ValueCountFrequency (%)
1 2476
26.2%
2 1894
20.0%
3 760
 
8.0%
6 685
 
7.2%
5 652
 
6.9%
7 651
 
6.9%
0 649
 
6.9%
8 572
 
6.0%
4 563
 
6.0%
9 557
 
5.9%

의안번호
Text

Distinct3081
Distinct (%)87.0%
Missing4
Missing (%)0.1%
Memory size27.8 KiB
2023-12-12T14:16:47.688887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.0584746
Min length1

Characters and Unicode

Total characters14367
Distinct characters17
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

Unique2623 ?
Unique (%)74.1%

Sample

1st row8-275
2nd row8-274
3rd row8-273
4th row8-272
5th row8-271
ValueCountFrequency (%)
07월 31
 
0.9%
08월 31
 
0.9%
06월 30
 
0.8%
관련 8
 
0.2%
230 3
 
0.1%
27일 3
 
0.1%
07일 3
 
0.1%
09일 3
 
0.1%
10일 3
 
0.1%
11일 3
 
0.1%
Other values (3008) 3525
96.8%
2023-12-12T14:16:48.264048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1797
12.5%
- 1767
12.3%
6 1663
11.6%
1 1563
10.9%
2 1230
8.6%
8 1170
8.1%
3 1101
7.7%
4 1067
7.4%
5 1008
7.0%
0 898
6.3%
Other values (7) 1103
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12293
85.6%
Dash Punctuation 1767
 
12.3%
Other Letter 204
 
1.4%
Space Separator 103
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1797
14.6%
6 1663
13.5%
1 1563
12.7%
2 1230
10.0%
8 1170
9.5%
3 1101
9.0%
4 1067
8.7%
5 1008
8.2%
0 898
7.3%
9 796
6.5%
Other Letter
ValueCountFrequency (%)
월 92
45.1%
일 92
45.1%
관 8
 
3.9%
련 8
 
3.9%
호 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1767
100.0%
Space Separator
ValueCountFrequency (%)
103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14163
98.6%
Hangul 204
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1797
12.7%
- 1767
12.5%
6 1663
11.7%
1 1563
11.0%
2 1230
8.7%
8 1170
8.3%
3 1101
7.8%
4 1067
7.5%
5 1008
7.1%
0 898
6.3%
Other values (2) 899
6.3%
Hangul
ValueCountFrequency (%)
월 92
45.1%
일 92
45.1%
관 8
 
3.9%
련 8
 
3.9%
호 4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14163
98.6%
Hangul 204
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1797
12.7%
- 1767
12.5%
6 1663
11.7%
1 1563
11.0%
2 1230
8.7%
8 1170
8.3%
3 1101
7.8%
4 1067
7.5%
5 1008
7.1%
0 898
6.3%
Other values (2) 899
6.3%
Hangul
ValueCountFrequency (%)
월 92
45.1%
일 92
45.1%
관 8
 
3.9%
련 8
 
3.9%
호 4
 
2.0%

의안명
Text

Distinct2725
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
2023-12-12T14:16:48.526217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length24.750564
Min length4

Characters and Unicode

Total characters87716
Distinct characters490
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2452 ?
Unique (%)69.2%

Sample

1st row이천시 소비자보호 조례 일부개정조례안(의원발의)
2nd row이천시 공중화장실 등의 설치 및 관리 조례 일부 개정조례안(의원발의)
3rd row이천시 반려동물산업 육성 및 지원 조례안(의원발의)
4th row이천시 농촌융복합산업 육성 및 지원에 관한 조례안(의원발의)
5th row이천시 예비군 훈련장 차량운행 지원에 관한 조례안(의원발의)
ValueCountFrequency (%)
이천시 1441
 
8.9%
조례 987
 
6.1%
및 719
 
4.4%
건 594
 
3.7%
일부개정조례안 574
 
3.5%
관한 550
 
3.4%
조례안 506
 
3.1%
설치 227
 
1.4%
운영 217
 
1.3%
동의안 212
 
1.3%
Other values (2862) 10185
62.8%
2023-12-12T14:16:48.955981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12675
 
14.5%
조 3503
 
4.0%
례 3445
 
3.9%
시 3361
 
3.8%
안 2927
 
3.3%
의 2790
 
3.2%
이 2645
 
3.0%
천 2582
 
2.9%
정 2274
 
2.6%
회 2154
 
2.5%
Other values (480) 49360
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68600
78.2%
Space Separator 12675
 
14.5%
Decimal Number 3820
 
4.4%
Other Punctuation 867
 
1.0%
Open Punctuation 786
 
0.9%
Close Punctuation 785
 
0.9%
Math Symbol 133
 
0.2%
Uppercase Letter 39
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 3503
 
5.1%
례 3445
 
5.0%
시 3361
 
4.9%
안 2927
 
4.3%
의 2790
 
4.1%
이 2645
 
3.9%
천 2582
 
3.8%
정 2274
 
3.3%
회 2154
 
3.1%
관 1421
 
2.1%
Other values (437) 41498
60.5%
Uppercase Letter
ValueCountFrequency (%)
H 6
15.4%
S 5
12.8%
L 5
12.8%
C 5
12.8%
D 3
7.7%
I 3
7.7%
A 2
 
5.1%
E 2
 
5.1%
O 2
 
5.1%
G 2
 
5.1%
Other values (3) 4
10.3%
Decimal Number
ValueCountFrequency (%)
2 1140
29.8%
0 854
22.4%
1 758
19.8%
9 219
 
5.7%
3 202
 
5.3%
6 144
 
3.8%
7 139
 
3.6%
4 137
 
3.6%
8 115
 
3.0%
5 112
 
2.9%
Other Punctuation
ValueCountFrequency (%)
· 462
53.3%
. 244
28.1%
, 85
 
9.8%
: 35
 
4.0%
? 33
 
3.8%
' 8
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 753
95.8%
[ 31
 
3.9%
〔 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 752
95.8%
] 31
 
3.9%
〕 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 95
71.4%
＜ 19
 
14.3%
＞ 19
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
k 1
25.0%
v 1
25.0%
Space Separator
ValueCountFrequency (%)
12675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68600
78.2%
Common 19073
 
21.7%
Latin 43
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 3503
 
5.1%
례 3445
 
5.0%
시 3361
 
4.9%
안 2927
 
4.3%
의 2790
 
4.1%
이 2645
 
3.9%
천 2582
 
3.8%
정 2274
 
3.3%
회 2154
 
3.1%
관 1421
 
2.1%
Other values (437) 41498
60.5%
Common
ValueCountFrequency (%)
12675
66.5%
2 1140
 
6.0%
0 854
 
4.5%
1 758
 
4.0%
( 753
 
3.9%
) 752
 
3.9%
· 462
 
2.4%
. 244
 
1.3%
9 219
 
1.1%
3 202
 
1.1%
Other values (17) 1014
 
5.3%
Latin
ValueCountFrequency (%)
H 6
14.0%
S 5
11.6%
L 5
11.6%
C 5
11.6%
D 3
 
7.0%
I 3
 
7.0%
A 2
 
4.7%
E 2
 
4.7%
O 2
 
4.7%
s 2
 
4.7%
Other values (6) 8
18.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68590
78.2%
ASCII 18612
 
21.2%
None 504
 
0.6%
Compat Jamo 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12675
68.1%
2 1140
 
6.1%
0 854
 
4.6%
1 758
 
4.1%
( 753
 
4.0%
) 752
 
4.0%
. 244
 
1.3%
9 219
 
1.2%
3 202
 
1.1%
6 144
 
0.8%
Other values (28) 871
 
4.7%
Hangul
ValueCountFrequency (%)
조 3503
 
5.1%
례 3445
 
5.0%
시 3361
 
4.9%
안 2927
 
4.3%
의 2790
 
4.1%
이 2645
 
3.9%
천 2582
 
3.8%
정 2274
 
3.3%
회 2154
 
3.1%
관 1421
 
2.1%
Other values (436) 41488
60.5%
None
ValueCountFrequency (%)
· 462
91.7%
＜ 19
 
3.8%
＞ 19
 
3.8%
〕 2
 
0.4%
〔 2
 
0.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
100.0%

의안종류
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
조례안-시장
1574 
중요동의
463 
동의안
343 
조례안-의원
276 
<NA>
217 
Other values (13)
671 

Length

Max length7
Median length6
Mean length4.9113995
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조례안-시장 1574
44.4%
중요동의 463
 
13.1%
동의안 343
 
9.7%
조례안-의원 276
 
7.8%
<NA> 217
 
6.1%
예산및결산 195
 
5.5%
결의안 113
 
3.2%
의견청취 84
 
2.4%
기타안건 68
 
1.9%
조례안 67
 
1.9%
Other values (8) 144
 
4.1%

Length

2023-12-12T14:16:49.085560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안-시장 1574
44.4%
중요동의 463
 
13.1%
동의안 343
 
9.7%
조례안-의원 276
 
7.8%
na 217
 
6.1%
예산및결산 195
 
5.5%
결의안 113
 
3.2%
의견청취 84
 
2.4%
기타안건 68
 
1.9%
조례안 67
 
1.9%
Other values (8) 144
 
4.1%

발의자
Text

Distinct232
Distinct (%)6.6%
Missing27
Missing (%)0.8%
Memory size27.8 KiB
2023-12-12T14:16:49.302302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length4
Mean length4.5177708
Min length2

Characters and Unicode

Total characters15889
Distinct characters116
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)4.5%

Sample

1st row송옥란
2nd row서학원
3rd row김재헌
4th row박준하
5th row임진모
ValueCountFrequency (%)
이천시장 2438
63.6%
의장 441
 
11.5%
서학원 63
 
1.6%
의원 51
 
1.3%
3인 42
 
1.1%
외 37
 
1.0%
김학원 31
 
0.8%
조인희 30
 
0.8%
4인 30
 
0.8%
이규화 27
 
0.7%
Other values (181) 643
 
16.8%
2023-12-12T14:16:49.677769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2909
18.3%
이 2522
15.9%
천 2468
15.5%
시 2440
15.4%
의 759
 
4.8%
원 481
 
3.0%
316
 
2.0%
인 309
 
1.9%
김 301
 
1.9%
· 232
 
1.5%
Other values (106) 3152
19.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14872
93.6%
Space Separator 316
 
2.0%
Other Punctuation 296
 
1.9%
Decimal Number 273
 
1.7%
Open Punctuation 66
 
0.4%
Close Punctuation 66
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2909
19.6%
이 2522
17.0%
천 2468
16.6%
시 2440
16.4%
의 759
 
5.1%
원 481
 
3.2%
인 309
 
2.1%
김 301
 
2.0%
외 204
 
1.4%
학 143
 
1.0%
Other values (91) 2336
15.7%
Decimal Number
ValueCountFrequency (%)
4 85
31.1%
3 71
26.0%
2 25
 
9.2%
5 25
 
9.2%
1 24
 
8.8%
8 14
 
5.1%
7 13
 
4.8%
6 10
 
3.7%
9 6
 
2.2%
Other Punctuation
ValueCountFrequency (%)
· 232
78.4%
, 62
 
20.9%
? 2
 
0.7%
Space Separator
ValueCountFrequency (%)
316
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14872
93.6%
Common 1017
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2909
19.6%
이 2522
17.0%
천 2468
16.6%
시 2440
16.4%
의 759
 
5.1%
원 481
 
3.2%
인 309
 
2.1%
김 301
 
2.0%
외 204
 
1.4%
학 143
 
1.0%
Other values (91) 2336
15.7%
Common
ValueCountFrequency (%)
316
31.1%
· 232
22.8%
4 85
 
8.4%
3 71
 
7.0%
( 66
 
6.5%
) 66
 
6.5%
, 62
 
6.1%
2 25
 
2.5%
5 25
 
2.5%
1 24
 
2.4%
Other values (5) 45
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14856
93.5%
ASCII 785
 
4.9%
None 232
 
1.5%
Compat Jamo 16
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2909
19.6%
이 2522
17.0%
천 2468
16.6%
시 2440
16.4%
의 759
 
5.1%
원 481
 
3.2%
인 309
 
2.1%
김 301
 
2.0%
외 204
 
1.4%
학 143
 
1.0%
Other values (90) 2320
15.6%
ASCII
ValueCountFrequency (%)
316
40.3%
4 85
 
10.8%
3 71
 
9.0%
( 66
 
8.4%
) 66
 
8.4%
, 62
 
7.9%
2 25
 
3.2%
5 25
 
3.2%
1 24
 
3.1%
8 14
 
1.8%
Other values (4) 31
 
3.9%
None
ValueCountFrequency (%)
· 232
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 16
100.0%

공동발의의원
Text

MISSING 

Distinct206
Distinct (%)45.1%
Missing3087
Missing (%)87.1%
Memory size27.8 KiB
2023-12-12T14:16:49.854548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length22.553611
Min length3

Characters and Unicode

Total characters10307
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)30.2%

Sample

1st row김하식,김재헌,박명서,박노희,김재국,서학원,박준하,임진모
2nd row김하식,김재헌,박명서,박노희,송옥란,임진모,박준하,김재국
3rd row김하식,서학원,박명서,박노희,송옥란,임진모,박준하,김재국
4th row김하식,김재헌,박명서,송옥란,김재국,서학원,박노희,임진모
5th row김하식,김재헌,박명서,박노희,송옥란,서학원,박준하,김재국
ValueCountFrequency (%)
김학원 190
10.1%
김하식 161
 
8.6%
조인희 158
 
8.4%
이규화 153
 
8.2%
심의래 149
 
8.0%
김일중 146
 
7.8%
정종철 138
 
7.4%
홍헌표 137
 
7.3%
서학원 135
 
7.2%
김인영 67
 
3.6%
Other values (35) 440
23.5%
2023-12-12T14:16:50.166871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1523
 
14.8%
1417
 
13.7%
김 865
 
8.4%
원 439
 
4.3%
학 390
 
3.8%
· 335
 
3.3%
하 295
 
2.9%
서 285
 
2.8%
희 274
 
2.7%
식 229
 
2.2%
Other values (45) 4255
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7032
68.2%
Other Punctuation 1858
 
18.0%
Space Separator 1417
 
13.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 865
 
12.3%
원 439
 
6.2%
학 390
 
5.5%
하 295
 
4.2%
서 285
 
4.1%
희 274
 
3.9%
식 229
 
3.3%
인 225
 
3.2%
이 208
 
3.0%
헌 203
 
2.9%
Other values (42) 3619
51.5%
Other Punctuation
ValueCountFrequency (%)
, 1523
82.0%
· 335
 
18.0%
Space Separator
ValueCountFrequency (%)
1417
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7032
68.2%
Common 3275
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 865
 
12.3%
원 439
 
6.2%
학 390
 
5.5%
하 295
 
4.2%
서 285
 
4.1%
희 274
 
3.9%
식 229
 
3.3%
인 225
 
3.2%
이 208
 
3.0%
헌 203
 
2.9%
Other values (42) 3619
51.5%
Common
ValueCountFrequency (%)
, 1523
46.5%
1417
43.3%
· 335
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7032
68.2%
ASCII 2940
28.5%
None 335
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1523
51.8%
1417
48.2%
Hangul
ValueCountFrequency (%)
김 865
 
12.3%
원 439
 
6.2%
학 390
 
5.5%
하 295
 
4.2%
서 285
 
4.1%
희 274
 
3.9%
식 229
 
3.3%
인 225
 
3.2%
이 208
 
3.0%
헌 203
 
2.9%
Other values (42) 3619
51.5%
None
ValueCountFrequency (%)
· 335
100.0%

소관위원회
Categorical

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
자치행정위원회
1141 
산업건설위원회
793 
<NA>
606 
예산결산특별위원회
249 
내무위원회
197 
Other values (18)
558 

Length

Max length28
Median length7
Mean length6.3829007
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자치행정위원회 1141
32.2%
산업건설위원회 793
22.4%
<NA> 606
17.1%
예산결산특별위원회 249
 
7.0%
내무위원회 197
 
5.6%
의회운영위원회 137
 
3.9%
자치행정 112
 
3.2%
산업위원회 104
 
2.9%
산업건설 55
 
1.6%
본회의 53
 
1.5%
Other values (13) 97
 
2.7%

Length

2023-12-12T14:16:50.288763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자치행정위원회 1141
32.2%
산업건설위원회 793
22.4%
na 606
17.1%
예산결산특별위원회 249
 
7.0%
내무위원회 197
 
5.6%
의회운영위원회 137
 
3.9%
자치행정 112
 
3.2%
산업위원회 104
 
2.9%
산업건설 55
 
1.6%
본회의 53
 
1.5%
Other values (13) 97
 
2.7%

위원회처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
<NA>
1863 
원안가결
1537 
수정의결
 
77
원안채택
 
44
보류
 
8
Other values (7)
 
15

Length

Max length18
Median length4
Mean length4.0011287
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1863
52.6%
원안가결 1537
43.4%
수정의결 77
 
2.2%
원안채택 44
 
1.2%
보류 8
 
0.2%
부결 5
 
0.1%
보고 3
 
0.1%
부결(본회의에 부의하지 않기로함) 2
 
0.1%
상임위원회 부결 2
 
0.1%
원안의결 1
 
< 0.1%
Other values (2) 2
 
0.1%

Length

2023-12-12T14:16:50.417960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1863
52.5%
원안가결 1537
43.3%
수정의결 77
 
2.2%
원안채택 44
 
1.2%
보류 8
 
0.2%
부결 7
 
0.2%
보고 3
 
0.1%
부결(본회의에 2
 
0.1%
부의하지 2
 
0.1%
않기로함 2
 
0.1%
Other values (4) 5
 
0.1%

본회의처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct24
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size27.8 KiB
원안가결
2955 
수정의결
 
224
원안의결
 
142
<NA>
 
113
원안채택
 
48
Other values (19)
 
62

Length

Max length15
Median length4
Mean length4.0098758
Min length2

Unique

Unique10 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 2955
83.4%
수정의결 224
 
6.3%
원안의결 142
 
4.0%
<NA> 113
 
3.2%
원안채택 48
 
1.4%
부결 18
 
0.5%
일부수정의결 9
 
0.3%
일부수정가결 7
 
0.2%
철회 6
 
0.2%
수정가결 4
 
0.1%
Other values (14) 18
 
0.5%

Length

2023-12-12T14:16:50.562923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 2955
83.2%
수정의결 224
 
6.3%
원안의결 142
 
4.0%
na 113
 
3.2%
원안채택 48
 
1.4%
부결 18
 
0.5%
일부수정의결 9
 
0.3%
철회 8
 
0.2%
일부수정가결 7
 
0.2%
수정가결 4
 
0.1%
Other values (17) 25
 
0.7%

공포번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct278
Distinct (%)99.3%
Missing3264
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean1044.2607
Minimum5
Maximum1221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.3 KiB
2023-12-12T14:16:50.713771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile862.95
Q1946.75
median1076.5
Q31146.25
95-th percentile1205.05
Maximum1221
Range1216
Interquartile range (IQR)199.5

Descriptive statistics

Standard deviation146.02408
Coefficient of variation (CV)0.13983489
Kurtosis16.54475
Mean1044.2607
Median Absolute Deviation (MAD)95
Skewness-2.7873933
Sum292393
Variance21323.032
MonotonicityNot monotonic
2023-12-12T14:16:51.144307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1192 2
 
0.1%
1215 2
 
0.1%
875 1
 
< 0.1%
876 1
 
< 0.1%
847 1
 
< 0.1%
877 1
 
< 0.1%
878 1
 
< 0.1%
879 1
 
< 0.1%
880 1
 
< 0.1%
873 1
 
< 0.1%
Other values (268) 268
 
7.6%
(Missing) 3264
92.1%
ValueCountFrequency (%)
5 1
< 0.1%
20 1
< 0.1%
514 1
< 0.1%
726 1
< 0.1%
845 1
< 0.1%
846 1
< 0.1%
847 1
< 0.1%
848 1
< 0.1%
849 1
< 0.1%
850 1
< 0.1%
ValueCountFrequency (%)
1221 1
< 0.1%
1220 1
< 0.1%
1218 1
< 0.1%
1215 2
0.1%
1214 1
< 0.1%
1213 1
< 0.1%
1212 1
< 0.1%
1211 1
< 0.1%
1210 1
< 0.1%
1209 1
< 0.1%

본회의회의록 링크주소(URL)
Text

MISSING 

Distinct425
Distinct (%)12.4%
Missing125
Missing (%)3.5%
Memory size27.8 KiB
2023-12-12T14:16:51.581578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length75
Mean length75.327581
Min length72

Characters and Unicode

Total characters257545
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)2.5%

Sample

1st rowhttps://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
2nd rowhttps://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
3rd rowhttps://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
4th rowhttps://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
5th rowhttps://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
ValueCountFrequency (%)
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=1794 139
 
4.1%
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=2663 47
 
1.4%
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=2001 43
 
1.3%
https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=232 42
 
1.2%
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=2694 38
 
1.1%
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=2653 37
 
1.1%
https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=230 36
 
1.1%
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=2306 34
 
1.0%
https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=231 33
 
1.0%
https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235 32
 
0.9%
Other values (415) 2938
85.9%
2023-12-12T14:16:51.967473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 23443
 
9.1%
/ 23443
 
9.1%
e 20514
 
8.0%
t 17585
 
6.8%
c 17095
 
6.6%
o 14166
 
5.5%
n 14166
 
5.5%
. 13676
 
5.3%
m 10747
 
4.2%
h 10257
 
4.0%
Other values (28) 92453
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 193424
75.1%
Other Punctuation 44447
 
17.3%
Decimal Number 12591
 
4.9%
Math Symbol 3909
 
1.5%
Uppercase Letter 3174
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 23443
12.1%
e 20514
10.6%
t 17585
 
9.1%
c 17095
 
8.8%
o 14166
 
7.3%
n 14166
 
7.3%
m 10747
 
5.6%
h 10257
 
5.3%
u 10257
 
5.3%
p 9767
 
5.0%
Other values (11) 45427
23.5%
Decimal Number
ValueCountFrequency (%)
2 2432
19.3%
1 1834
14.6%
3 1271
10.1%
6 1158
9.2%
4 1105
8.8%
5 1056
8.4%
8 1005
8.0%
7 945
 
7.5%
0 895
 
7.1%
9 890
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 23443
52.7%
. 13676
30.8%
? 3419
 
7.7%
: 3419
 
7.7%
& 490
 
1.1%
Math Symbol
ValueCountFrequency (%)
= 3909
100.0%
Uppercase Letter
ValueCountFrequency (%)
V 3174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 196598
76.3%
Common 60947
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 23443
11.9%
e 20514
10.4%
t 17585
 
8.9%
c 17095
 
8.7%
o 14166
 
7.2%
n 14166
 
7.2%
m 10747
 
5.5%
h 10257
 
5.2%
u 10257
 
5.2%
p 9767
 
5.0%
Other values (12) 48601
24.7%
Common
ValueCountFrequency (%)
/ 23443
38.5%
. 13676
22.4%
= 3909
 
6.4%
? 3419
 
5.6%
: 3419
 
5.6%
2 2432
 
4.0%
1 1834
 
3.0%
3 1271
 
2.1%
6 1158
 
1.9%
4 1105
 
1.8%
Other values (6) 5281
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257545
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 23443
 
9.1%
/ 23443
 
9.1%
e 20514
 
8.0%
t 17585
 
6.8%
c 17095
 
6.6%
o 14166
 
5.5%
n 14166
 
5.5%
. 13676
 
5.3%
m 10747
 
4.2%
h 10257
 
4.0%
Other values (28) 92453
35.9%

Interactions

2023-12-12T14:16:45.162742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:16:44.950075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:16:45.262647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:16:45.063257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:16:52.061711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안종류소관위원회위원회처리결과본회의처리결과공포번호
대수1.0000.5550.8050.5080.6040.910
의안종류0.5551.0000.8780.6150.6470.775
소관위원회0.8050.8781.0000.3410.4900.504
위원회처리결과0.5080.6150.3411.0000.9510.174
본회의처리결과0.6040.6470.4900.9511.0000.707
공포번호0.9100.7750.5040.1740.7071.000
2023-12-12T14:16:52.194025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관위원회본회의처리결과위원회처리결과의안종류
소관위원회1.0000.1580.1430.495
본회의처리결과0.1581.0000.8780.252
위원회처리결과0.1430.8781.0000.295
의안종류0.4950.2520.2951.000
2023-12-12T14:16:52.306658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수공포번호의안종류소관위원회위원회처리결과본회의처리결과
대수1.0000.7910.2700.4910.3090.292
공포번호0.7911.0000.7110.3890.1240.573
의안종류0.2700.7111.0000.4950.2950.252
소관위원회0.4910.3890.4951.0000.1430.158
위원회처리결과0.3090.1240.2950.1431.0000.878
본회의처리결과0.2920.5730.2520.1580.8781.000

Missing values

2023-12-12T14:16:45.455683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:16:45.680626image/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.
2023-12-12T14:16:45.851857image/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

기관명대수회기의안번호의안명의안종류발의자공동발의의원소관위원회위원회처리결과본회의처리결과공포번호본회의회의록 링크주소(URL)
0이천시의회8제237회8-275이천시 소비자보호 조례 일부개정조례안(의원발의)조례안송옥란김하식,김재헌,박명서,박노희,김재국,서학원,박준하,임진모산업건설원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
1이천시의회8제237회8-274이천시 공중화장실 등의 설치 및 관리 조례 일부 개정조례안(의원발의)조례안서학원김하식,김재헌,박명서,박노희,송옥란,임진모,박준하,김재국산업건설원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
2이천시의회8제237회8-273이천시 반려동물산업 육성 및 지원 조례안(의원발의)조례안김재헌김하식,서학원,박명서,박노희,송옥란,임진모,박준하,김재국산업건설원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
3이천시의회8제237회8-272이천시 농촌융복합산업 육성 및 지원에 관한 조례안(의원발의)조례안박준하김하식,김재헌,박명서,송옥란,김재국,서학원,박노희,임진모산업건설원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
4이천시의회8제237회8-271이천시 예비군 훈련장 차량운행 지원에 관한 조례안(의원발의)조례안임진모김하식,김재헌,박명서,박노희,송옥란,서학원,박준하,김재국산업건설원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
5이천시의회8제237회8-270이천시 기후위기 대응을 위한 탄소중립·녹색성장기본 조례안(의원발의)조례안박노희김하식,김재헌,박명서,송옥란,김재국,서학원,박준하,임진모자치행정원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
6이천시의회8제237회8-269이천시 자원봉사활동 지원 조례 일부개정조례안(의원발의)조례안박명서김하식,김재헌,박노희,송옥란,김재국,서학원,박준하,임진모자치행정원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
7이천시의회8제237회8-268이천시 디지털 성범죄 예방 및 피해자 지원 조례안(의원발의)조례안송옥란김하식,김재헌,박명서,박노희,김재국,서학원,박준하,임진모자치행정원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
8이천시의회8제237회8-267이천시 청렴도 향상 및 부패방지 기본 조례안(의원발의)조례안송옥란김하식,김재헌,박명서,박노희,김재국,서학원,박준하,임진모자치행정원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
9이천시의회8제237회8-266이천시 마약류 및 유해 약물의 오남용 예방에 관한 조례안(의원발의)조례안송옥란김하식,김재헌,박명서,박노희,김재국,서학원,박준하,임진모자치행정원안가결원안가결<NA>https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=235
기관명대수회기의안번호의안명의안종류발의자공동발의의원소관위원회위원회처리결과본회의처리결과공포번호본회의회의록 링크주소(URL)
3534이천시의회1제1회107이천시도시계획구획정리사업시행조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3535이천시의회1제1회106이천시도시계획토지구획정리사업비특별회계설치조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3536이천시의회1제1회105이천시도시계획토지구획정리사업토지평가협의회조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3537이천시의회1제1회104이천시가로명에관한조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3538이천시의회1제1회103이천시도로굴착관련사업조정위원회조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3539이천시의회1제1회102이천시영세민노점상전업자금융자에대한보조금지급조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3540이천시의회1제1회101이천시보도구역내횡단차도설치에관한조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3541이천시의회1제1회100이천시수방단운영조례안조례안-시장이천시장<NA>산업위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3542이천시의회1제1회10이천시지방재정계획심의위원회조례안조례안-시장이천시장<NA>내무위원회<NA>원안의결<NA>http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794
3543이천시의회1제1회1이천시의회공인조례안조례안-의원이종률의원외4인<NA>의회운영위원회<NA>원안의결726http://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=1794

Duplicate rows

Most frequently occurring

기관명대수회기의안번호의안명의안종류발의자공동발의의원소관위원회위원회처리결과본회의처리결과공포번호본회의회의록 링크주소(URL)# duplicates
0이천시의회6제181회6-458이천시 학교급식비 지원에 관한 조례 일부개정조례안<NA>이천시장<NA>자치행정위원회원안가결원안가결<NA><NA>2