Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells209007
Missing cells (%)58.1%
Duplicate rows8
Duplicate rows (%)0.1%
Total size in memory2.9 MiB
Average record size in memory302.0 B

Variable types

Categorical6
Numeric2
Text13
Boolean1
DateTime10
Unsupported4

Alerts

철회일자 has constant value ""Constant
철회요지 has constant value ""Constant
Dataset has 8 (0.1%) duplicate rowsDuplicates
발의자구분 is highly imbalanced (64.7%)Imbalance
관련위원회 is highly imbalanced (99.5%)Imbalance
위원회처리결과 is highly imbalanced (63.0%)Imbalance
원안파일URL is highly imbalanced (89.0%)Imbalance
수정안파일URL is highly imbalanced (77.4%)Imbalance
회기 has 3760 (37.6%) missing valuesMissing
의안번호 has 809 (8.1%) missing valuesMissing
의안종류 has 4530 (45.3%) missing valuesMissing
발의일 has 1095 (10.9%) missing valuesMissing
공동발의여부 has 9133 (91.3%) missing valuesMissing
대표발의의원 has 9756 (97.6%) missing valuesMissing
공동발의의원 has 9688 (96.9%) missing valuesMissing
소관위원회 has 7027 (70.3%) missing valuesMissing
위원회회부일 has 7915 (79.1%) missing valuesMissing
위원회보고일 has 9499 (95.0%) missing valuesMissing
위원회상정일 has 8846 (88.5%) missing valuesMissing
위원회의결일 has 8359 (83.6%) missing valuesMissing
본회의보고일 has 8078 (80.8%) missing valuesMissing
본회의상정일 has 6283 (62.8%) missing valuesMissing
본회의의결일 has 5809 (58.1%) missing valuesMissing
본회의처리결과 has 4558 (45.6%) missing valuesMissing
재의보고일 has 10000 (100.0%) missing valuesMissing
재의상정일 has 10000 (100.0%) missing valuesMissing
재의의결일 has 10000 (100.0%) missing valuesMissing
재의처리결과 has 10000 (100.0%) missing valuesMissing
집행기관이송일 has 8159 (81.6%) missing valuesMissing
공포일 has 9261 (92.6%) missing valuesMissing
공포번호 has 9182 (91.8%) missing valuesMissing
철회일자 has 9999 (> 99.9%) missing valuesMissing
철회요지 has 9999 (> 99.9%) missing valuesMissing
위원회회의록URL has 9053 (90.5%) missing valuesMissing
본회의회의록URL has 8127 (81.3%) missing valuesMissing
재의보고일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재의상정일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재의의결일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재의처리결과 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-03 18:34:08.575006
Analysis finished2024-05-03 18:34:13.012128
Duration4.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
부천시의회
1089 
양주시의회
824 
양평군의회
813 
남양주시의회
783 
이천시의회
682 
Other values (21)
5809 

Length

Max length6
Median length5
Mean length5.0932
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시의회
2nd row양평군의회
3rd row의왕시의회
4th row여주시의회
5th row수원시의회

Common Values

ValueCountFrequency (%)
부천시의회 1089
 
10.9%
양주시의회 824
 
8.2%
양평군의회 813
 
8.1%
남양주시의회 783
 
7.8%
이천시의회 682
 
6.8%
광주시의회 664
 
6.6%
의왕시의회 642
 
6.4%
수원시의회 567
 
5.7%
안양시의회 544
 
5.4%
과천시의회 489
 
4.9%
Other values (16) 2903
29.0%

Length

2024-05-03T18:34:13.166111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시의회 1089
 
10.9%
양주시의회 824
 
8.2%
양평군의회 813
 
8.1%
남양주시의회 783
 
7.8%
이천시의회 682
 
6.8%
광주시의회 664
 
6.6%
의왕시의회 642
 
6.4%
수원시의회 567
 
5.7%
안양시의회 544
 
5.4%
과천시의회 489
 
4.9%
Other values (16) 2903
29.0%

대수
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.822
Minimum0
Maximum11
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T18:34:13.518331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile9
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4261296
Coefficient of variation (CV)0.41671755
Kurtosis-0.68922491
Mean5.822
Median Absolute Deviation (MAD)2
Skewness-0.39137215
Sum58220
Variance5.8861046
MonotonicityNot monotonic
2024-05-03T18:34:13.866730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 2088
20.9%
7 1748
17.5%
6 1389
13.9%
5 965
9.7%
3 827
 
8.3%
4 813
 
8.1%
2 660
 
6.6%
1 617
 
6.2%
9 615
 
6.2%
11 156
 
1.6%
Other values (2) 122
 
1.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 617
 
6.2%
2 660
 
6.6%
3 827
 
8.3%
4 813
 
8.1%
5 965
9.7%
6 1389
13.9%
7 1748
17.5%
8 2088
20.9%
9 615
 
6.2%
ValueCountFrequency (%)
11 156
 
1.6%
10 120
 
1.2%
9 615
 
6.2%
8 2088
20.9%
7 1748
17.5%
6 1389
13.9%
5 965
9.7%
4 813
 
8.1%
3 827
 
8.3%
2 660
 
6.6%

회기
Text

MISSING 

Distinct943
Distinct (%)15.1%
Missing3760
Missing (%)37.6%
Memory size156.2 KiB
2024-05-03T18:34:14.580224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length17
Mean length4.3533654
Min length1

Characters and Unicode

Total characters27165
Distinct characters37
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

Unique145 ?
Unique (%)2.3%

Sample

1st row제114회 임시회
2nd row31
3rd row제40회 제1차 정례회
4th row157
5th row224
ValueCountFrequency (%)
임시회 734
 
9.4%
정례회 335
 
4.3%
0 326
 
4.2%
제2차 150
 
1.9%
제1차 93
 
1.2%
정기회 73
 
0.9%
254 63
 
0.8%
2차정례회 53
 
0.7%
238 47
 
0.6%
232 45
 
0.6%
Other values (698) 5858
75.3%
2024-05-03T18:34:15.718654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4344
16.0%
3579
13.2%
1 3030
11.2%
1901
 
7.0%
1537
 
5.7%
3 1423
 
5.2%
0 1345
 
5.0%
5 1288
 
4.7%
4 1262
 
4.6%
7 1169
 
4.3%
Other values (27) 6287
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17119
63.0%
Other Letter 8501
31.3%
Space Separator 1537
 
5.7%
Other Punctuation 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3579
42.1%
1901
22.4%
735
 
8.6%
735
 
8.6%
511
 
6.0%
437
 
5.1%
423
 
5.0%
73
 
0.9%
43
 
0.5%
42
 
0.5%
Other values (11) 22
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 4344
25.4%
1 3030
17.7%
3 1423
 
8.3%
0 1345
 
7.9%
5 1288
 
7.5%
4 1262
 
7.4%
7 1169
 
6.8%
6 1140
 
6.7%
8 1135
 
6.6%
9 983
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
/ 1
25.0%
Space Separator
ValueCountFrequency (%)
1537
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18664
68.7%
Hangul 8501
31.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3579
42.1%
1901
22.4%
735
 
8.6%
735
 
8.6%
511
 
6.0%
437
 
5.1%
423
 
5.0%
73
 
0.9%
43
 
0.5%
42
 
0.5%
Other values (11) 22
 
0.3%
Common
ValueCountFrequency (%)
2 4344
23.3%
1 3030
16.2%
1537
 
8.2%
3 1423
 
7.6%
0 1345
 
7.2%
5 1288
 
6.9%
4 1262
 
6.8%
7 1169
 
6.3%
6 1140
 
6.1%
8 1135
 
6.1%
Other values (6) 991
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18664
68.7%
Hangul 8501
31.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4344
23.3%
1 3030
16.2%
1537
 
8.2%
3 1423
 
7.6%
0 1345
 
7.2%
5 1288
 
6.9%
4 1262
 
6.8%
7 1169
 
6.3%
6 1140
 
6.1%
8 1135
 
6.1%
Other values (6) 991
 
5.3%
Hangul
ValueCountFrequency (%)
3579
42.1%
1901
22.4%
735
 
8.6%
735
 
8.6%
511
 
6.0%
437
 
5.1%
423
 
5.0%
73
 
0.9%
43
 
0.5%
42
 
0.5%
Other values (11) 22
 
0.3%

의안번호
Text

MISSING 

Distinct5113
Distinct (%)55.6%
Missing809
Missing (%)8.1%
Memory size156.2 KiB
2024-05-03T18:34:16.465343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.0941138
Min length1

Characters and Unicode

Total characters37629
Distinct characters38
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3840 ?
Unique (%)41.8%

Sample

1st row6
2nd row03-Sep
3rd row303
4th row908
5th row2019-192
ValueCountFrequency (%)
5 33
 
0.4%
3 31
 
0.3%
7 28
 
0.3%
2 26
 
0.3%
4 23
 
0.3%
6 23
 
0.3%
10 22
 
0.2%
1 22
 
0.2%
15 20
 
0.2%
8 20
 
0.2%
Other values (5105) 8951
97.3%
2024-05-03T18:34:17.661144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5663
15.0%
1 5484
14.6%
0 4972
13.2%
3 3083
8.2%
4 2876
7.6%
7 2855
7.6%
6 2738
7.3%
9 2570
6.8%
5 2514
6.7%
8 2432
6.5%
Other values (28) 2442
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35187
93.5%
Dash Punctuation 2105
 
5.6%
Lowercase Letter 206
 
0.5%
Uppercase Letter 103
 
0.3%
Other Letter 20
 
0.1%
Space Separator 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 28
13.6%
u 26
12.6%
a 24
11.7%
n 20
9.7%
p 18
8.7%
c 18
8.7%
r 13
6.3%
o 10
 
4.9%
v 10
 
4.9%
g 9
 
4.4%
Other values (4) 30
14.6%
Decimal Number
ValueCountFrequency (%)
2 5663
16.1%
1 5484
15.6%
0 4972
14.1%
3 3083
8.8%
4 2876
8.2%
7 2855
8.1%
6 2738
7.8%
9 2570
7.3%
5 2514
7.1%
8 2432
6.9%
Uppercase Letter
ValueCountFrequency (%)
J 29
28.2%
A 16
15.5%
M 12
11.7%
S 11
 
10.7%
N 10
 
9.7%
D 10
 
9.7%
O 8
 
7.8%
F 7
 
6.8%
Other Letter
ValueCountFrequency (%)
8
40.0%
8
40.0%
2
 
10.0%
2
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 2105
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37300
99.1%
Latin 309
 
0.8%
Hangul 20
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
J 29
 
9.4%
e 28
 
9.1%
u 26
 
8.4%
a 24
 
7.8%
n 20
 
6.5%
p 18
 
5.8%
c 18
 
5.8%
A 16
 
5.2%
r 13
 
4.2%
M 12
 
3.9%
Other values (12) 105
34.0%
Common
ValueCountFrequency (%)
2 5663
15.2%
1 5484
14.7%
0 4972
13.3%
3 3083
8.3%
4 2876
7.7%
7 2855
7.7%
6 2738
7.3%
9 2570
6.9%
5 2514
6.7%
8 2432
6.5%
Other values (2) 2113
 
5.7%
Hangul
ValueCountFrequency (%)
8
40.0%
8
40.0%
2
 
10.0%
2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37609
99.9%
Hangul 20
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5663
15.1%
1 5484
14.6%
0 4972
13.2%
3 3083
8.2%
4 2876
7.6%
7 2855
7.6%
6 2738
7.3%
9 2570
6.8%
5 2514
6.7%
8 2432
6.5%
Other values (24) 2422
6.4%
Hangul
ValueCountFrequency (%)
8
40.0%
8
40.0%
2
 
10.0%
2
 
10.0%
Distinct8768
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T18:34:18.242532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length58
Mean length24.0206
Min length4

Characters and Unicode

Total characters240206
Distinct characters666
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8155 ?
Unique (%)81.5%

Sample

1st row양주군남면하수종말처리장관리사무의민간위탁동의안
2nd row제114회양평군의회(임시회)회의록서명의원선출의건
3rd row의왕시공인조례중개정조례안
4th row2019년도 행정사무감사 결과보고서 의결의 건
5th row수원시 중독관리 통합지원 센터 민간위탁 운영 동의안 (장안구 보건소 보건행정과)
ValueCountFrequency (%)
조례 2387
 
5.3%
1998
 
4.4%
일부개정조례안 1980
 
4.4%
조례안 1543
 
3.4%
관한 1516
 
3.3%
1230
 
2.7%
운영 650
 
1.4%
설치 628
 
1.4%
동의안 467
 
1.0%
부천시 388
 
0.9%
Other values (8416) 32627
71.8%
2024-05-03T18:34:19.289583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35440
 
14.8%
9839
 
4.1%
9509
 
4.0%
9085
 
3.8%
7919
 
3.3%
6830
 
2.8%
6346
 
2.6%
4755
 
2.0%
4190
 
1.7%
4091
 
1.7%
Other values (656) 142202
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192379
80.1%
Space Separator 35440
 
14.8%
Decimal Number 8887
 
3.7%
Close Punctuation 1080
 
0.4%
Open Punctuation 1074
 
0.4%
Other Punctuation 1023
 
0.4%
Uppercase Letter 117
 
< 0.1%
Dash Punctuation 111
 
< 0.1%
Math Symbol 64
 
< 0.1%
Lowercase Letter 15
 
< 0.1%
Other values (3) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9839
 
5.1%
9509
 
4.9%
9085
 
4.7%
7919
 
4.1%
6830
 
3.6%
6346
 
3.3%
4755
 
2.5%
4190
 
2.2%
4091
 
2.1%
3849
 
2.0%
Other values (573) 125966
65.5%
Uppercase Letter
ValueCountFrequency (%)
B 13
11.1%
T 12
 
10.3%
G 12
 
10.3%
C 10
 
8.5%
L 9
 
7.7%
S 7
 
6.0%
I 7
 
6.0%
M 6
 
5.1%
A 5
 
4.3%
D 5
 
4.3%
Other values (12) 31
26.5%
Lowercase Letter
ValueCountFrequency (%)
y 2
13.3%
v 2
13.3%
l 2
13.3%
i 2
13.3%
s 1
6.7%
k 1
6.7%
c 1
6.7%
t 1
6.7%
g 1
6.7%
n 1
6.7%
Decimal Number
ValueCountFrequency (%)
2 2590
29.1%
0 2243
25.2%
1 1538
17.3%
9 652
 
7.3%
3 495
 
5.6%
4 297
 
3.3%
8 276
 
3.1%
6 269
 
3.0%
7 265
 
3.0%
5 262
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 1021
94.5%
20
 
1.9%
] 15
 
1.4%
12
 
1.1%
} 7
 
0.6%
2
 
0.2%
1
 
0.1%
1
 
0.1%
1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
· 605
59.1%
. 165
 
16.1%
, 122
 
11.9%
? 70
 
6.8%
: 44
 
4.3%
' 12
 
1.2%
% 2
 
0.2%
2
 
0.2%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1017
94.7%
18
 
1.7%
[ 15
 
1.4%
12
 
1.1%
{ 8
 
0.7%
2
 
0.2%
1
 
0.1%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 46
71.9%
+ 4
 
6.2%
4
 
6.2%
3
 
4.7%
3
 
4.7%
2
 
3.1%
2
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 109
98.2%
2
 
1.8%
Final Punctuation
ValueCountFrequency (%)
13
92.9%
1
 
7.1%
Space Separator
ValueCountFrequency (%)
35440
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192379
80.1%
Common 47694
 
19.9%
Latin 132
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9839
 
5.1%
9509
 
4.9%
9085
 
4.7%
7919
 
4.1%
6830
 
3.6%
6346
 
3.3%
4755
 
2.5%
4190
 
2.2%
4091
 
2.1%
3849
 
2.0%
Other values (573) 125966
65.5%
Common
ValueCountFrequency (%)
35440
74.3%
2 2590
 
5.4%
0 2243
 
4.7%
1 1538
 
3.2%
) 1021
 
2.1%
( 1017
 
2.1%
9 652
 
1.4%
· 605
 
1.3%
3 495
 
1.0%
4 297
 
0.6%
Other values (39) 1796
 
3.8%
Latin
ValueCountFrequency (%)
B 13
 
9.8%
T 12
 
9.1%
G 12
 
9.1%
C 10
 
7.6%
L 9
 
6.8%
S 7
 
5.3%
I 7
 
5.3%
M 6
 
4.5%
A 5
 
3.8%
D 5
 
3.8%
Other values (23) 46
34.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192334
80.1%
ASCII 47116
 
19.6%
None 692
 
0.3%
Compat Jamo 44
 
< 0.1%
Punctuation 15
 
< 0.1%
Arrows 2
 
< 0.1%
Math Operators 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35440
75.2%
2 2590
 
5.5%
0 2243
 
4.8%
1 1538
 
3.3%
) 1021
 
2.2%
( 1017
 
2.2%
9 652
 
1.4%
3 495
 
1.1%
4 297
 
0.6%
8 276
 
0.6%
Other values (49) 1547
 
3.3%
Hangul
ValueCountFrequency (%)
9839
 
5.1%
9509
 
4.9%
9085
 
4.7%
7919
 
4.1%
6830
 
3.6%
6346
 
3.3%
4755
 
2.5%
4190
 
2.2%
4091
 
2.1%
3849
 
2.0%
Other values (571) 125921
65.5%
None
ValueCountFrequency (%)
· 605
87.4%
20
 
2.9%
18
 
2.6%
12
 
1.7%
12
 
1.7%
4
 
0.6%
3
 
0.4%
3
 
0.4%
2
 
0.3%
2
 
0.3%
Other values (9) 11
 
1.6%
Compat Jamo
ValueCountFrequency (%)
44
100.0%
Punctuation
ValueCountFrequency (%)
13
86.7%
1
 
6.7%
1
 
6.7%
Arrows
ValueCountFrequency (%)
2
100.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
100.0%

의안종류
Text

MISSING 

Distinct65
Distinct (%)1.2%
Missing4530
Missing (%)45.3%
Memory size156.2 KiB
2024-05-03T18:34:19.669299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.3840951
Min length2

Characters and Unicode

Total characters23981
Distinct characters74
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

Unique9 ?
Unique (%)0.2%

Sample

1st row동의안/승인안
2nd row결의안
3rd row동의안
4th row조례안(제정)
5th row동의안
ValueCountFrequency (%)
조례안 1372
24.8%
조례안-시장 615
11.1%
조례안(일부개정 432
 
7.8%
의안종류 367
 
6.6%
기타 356
 
6.4%
동의안 280
 
5.1%
기타안건 241
 
4.4%
조례 175
 
3.2%
조례안(제정 151
 
2.7%
예산안 129
 
2.3%
Other values (59) 1405
25.4%
2024-05-03T18:34:20.672426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4571
19.1%
2916
 
12.2%
2915
 
12.2%
1322
 
5.5%
) 757
 
3.2%
( 757
 
3.2%
- 711
 
3.0%
650
 
2.7%
621
 
2.6%
617
 
2.6%
Other values (64) 8144
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21558
89.9%
Close Punctuation 757
 
3.2%
Open Punctuation 757
 
3.2%
Dash Punctuation 711
 
3.0%
Other Punctuation 145
 
0.6%
Space Separator 53
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4571
21.2%
2916
13.5%
2915
13.5%
1322
 
6.1%
650
 
3.0%
621
 
2.9%
617
 
2.9%
615
 
2.9%
612
 
2.8%
603
 
2.8%
Other values (57) 6116
28.4%
Other Punctuation
ValueCountFrequency (%)
/ 62
42.8%
. 45
31.0%
, 38
26.2%
Close Punctuation
ValueCountFrequency (%)
) 757
100.0%
Open Punctuation
ValueCountFrequency (%)
( 757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 711
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21558
89.9%
Common 2423
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4571
21.2%
2916
13.5%
2915
13.5%
1322
 
6.1%
650
 
3.0%
621
 
2.9%
617
 
2.9%
615
 
2.9%
612
 
2.8%
603
 
2.8%
Other values (57) 6116
28.4%
Common
ValueCountFrequency (%)
) 757
31.2%
( 757
31.2%
- 711
29.3%
/ 62
 
2.6%
53
 
2.2%
. 45
 
1.9%
, 38
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21558
89.9%
ASCII 2423
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4571
21.2%
2916
13.5%
2915
13.5%
1322
 
6.1%
650
 
3.0%
621
 
2.9%
617
 
2.9%
615
 
2.9%
612
 
2.8%
603
 
2.8%
Other values (57) 6116
28.4%
ASCII
ValueCountFrequency (%)
) 757
31.2%
( 757
31.2%
- 711
29.3%
/ 62
 
2.6%
53
 
2.2%
. 45
 
1.9%
, 38
 
1.6%

발의일
Text

MISSING 

Distinct3449
Distinct (%)38.7%
Missing1095
Missing (%)10.9%
Memory size156.2 KiB
2024-05-03T18:34:21.327811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters89050
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

Unique1642 ?
Unique (%)18.4%

Sample

1st row2002-07-05
2nd row2003-05-13
3rd row1995-03-20
4th row2019-06-24
5th row2019-11-04
ValueCountFrequency (%)
2001-03-08 41
 
0.5%
2003-10-16 35
 
0.4%
2018-10-08 32
 
0.4%
2023-08-30 27
 
0.3%
2017-11-13 27
 
0.3%
2021-05-24 24
 
0.3%
2015-09-01 24
 
0.3%
2016-05-02 24
 
0.3%
2021-08-27 23
 
0.3%
2019-09-09 23
 
0.3%
Other values (3439) 8625
96.9%
2024-05-03T18:34:22.386079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20802
23.4%
- 17810
20.0%
1 15717
17.6%
2 15120
17.0%
9 5012
 
5.6%
3 2950
 
3.3%
8 2479
 
2.8%
5 2416
 
2.7%
4 2304
 
2.6%
6 2232
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71240
80.0%
Dash Punctuation 17810
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20802
29.2%
1 15717
22.1%
2 15120
21.2%
9 5012
 
7.0%
3 2950
 
4.1%
8 2479
 
3.5%
5 2416
 
3.4%
4 2304
 
3.2%
6 2232
 
3.1%
7 2208
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 17810
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20802
23.4%
- 17810
20.0%
1 15717
17.6%
2 15120
17.0%
9 5012
 
5.6%
3 2950
 
3.3%
8 2479
 
2.8%
5 2416
 
2.7%
4 2304
 
2.6%
6 2232
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20802
23.4%
- 17810
20.0%
1 15717
17.6%
2 15120
17.0%
9 5012
 
5.6%
3 2950
 
3.3%
8 2479
 
2.8%
5 2416
 
2.7%
4 2304
 
2.6%
6 2232
 
2.5%
Distinct1554
Distinct (%)15.7%
Missing82
Missing (%)0.8%
Memory size156.2 KiB
2024-05-03T18:34:22.953499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length147
Mean length5.6857229
Min length1

Characters and Unicode

Total characters56391
Distinct characters279
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1157 ?
Unique (%)11.7%

Sample

1st row군수
2nd row의장
3rd row의왕시장
4th row여주시장
5th row수원시장
ValueCountFrequency (%)
시장 1016
 
7.8%
의장 861
 
6.6%
의원 613
 
4.7%
군수 577
 
4.5%
부천시장 533
 
4.1%
이천시장 476
 
3.7%
광주시장 382
 
2.9%
수원시장 380
 
2.9%
의왕시장 369
 
2.8%
과천시장 361
 
2.8%
Other values (1418) 7392
57.0%
2024-05-03T18:34:24.036037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6709
 
11.9%
5547
 
9.8%
3060
 
5.4%
2664
 
4.7%
2287
 
4.1%
1767
 
3.1%
, 1674
 
3.0%
1612
 
2.9%
1547
 
2.7%
+ 1392
 
2.5%
Other values (269) 28132
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49140
87.1%
Space Separator 3060
 
5.4%
Other Punctuation 1766
 
3.1%
Math Symbol 1392
 
2.5%
Decimal Number 891
 
1.6%
Close Punctuation 70
 
0.1%
Open Punctuation 70
 
0.1%
Modifier Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6709
 
13.7%
5547
 
11.3%
2664
 
5.4%
2287
 
4.7%
1767
 
3.6%
1612
 
3.3%
1547
 
3.1%
1217
 
2.5%
1052
 
2.1%
921
 
1.9%
Other values (247) 23817
48.5%
Decimal Number
ValueCountFrequency (%)
2 150
16.8%
1 147
16.5%
5 119
13.4%
3 99
11.1%
6 99
11.1%
7 82
9.2%
4 64
7.2%
8 59
 
6.6%
9 52
 
5.8%
0 20
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 1674
94.8%
· 54
 
3.1%
. 20
 
1.1%
* 10
 
0.6%
? 4
 
0.2%
: 4
 
0.2%
Space Separator
ValueCountFrequency (%)
3060
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1392
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49140
87.1%
Common 7251
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6709
 
13.7%
5547
 
11.3%
2664
 
5.4%
2287
 
4.7%
1767
 
3.6%
1612
 
3.3%
1547
 
3.1%
1217
 
2.5%
1052
 
2.1%
921
 
1.9%
Other values (247) 23817
48.5%
Common
ValueCountFrequency (%)
3060
42.2%
, 1674
23.1%
+ 1392
19.2%
2 150
 
2.1%
1 147
 
2.0%
5 119
 
1.6%
3 99
 
1.4%
6 99
 
1.4%
7 82
 
1.1%
) 70
 
1.0%
Other values (12) 359
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49139
87.1%
ASCII 7197
 
12.8%
None 54
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6709
 
13.7%
5547
 
11.3%
2664
 
5.4%
2287
 
4.7%
1767
 
3.6%
1612
 
3.3%
1547
 
3.1%
1217
 
2.5%
1052
 
2.1%
921
 
1.9%
Other values (246) 23816
48.5%
ASCII
ValueCountFrequency (%)
3060
42.5%
, 1674
23.3%
+ 1392
19.3%
2 150
 
2.1%
1 147
 
2.0%
5 119
 
1.7%
3 99
 
1.4%
6 99
 
1.4%
7 82
 
1.1%
) 70
 
1.0%
Other values (11) 305
 
4.2%
None
ValueCountFrequency (%)
· 54
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

발의자구분
Categorical

IMBALANCE 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7117 
시장
985 
의원
 
446
시장발의
 
339
미선택
 
299
Other values (26)
814 

Length

Max length11
Median length4
Mean length3.6348
Min length2

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row시장
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7117
71.2%
시장 985
 
9.8%
의원 446
 
4.5%
시장발의 339
 
3.4%
미선택 299
 
3.0%
군수 247
 
2.5%
의회발의 144
 
1.4%
의장 114
 
1.1%
군포시장 79
 
0.8%
기타 53
 
0.5%
Other values (21) 177
 
1.8%

Length

2024-05-03T18:34:24.456603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 7117
71.1%
시장 985
 
9.8%
의원 446
 
4.5%
시장발의 339
 
3.4%
미선택 299
 
3.0%
군수 247
 
2.5%
의회발의 144
 
1.4%
의장 114
 
1.1%
군포시장 79
 
0.8%
기타 53
 
0.5%
Other values (21) 182
 
1.8%

공동발의여부
Boolean

MISSING 

Distinct2
Distinct (%)0.2%
Missing9133
Missing (%)91.3%
Memory size97.7 KiB
False
 
708
True
 
159
(Missing)
9133 
ValueCountFrequency (%)
False 708
 
7.1%
True 159
 
1.6%
(Missing) 9133
91.3%
2024-05-03T18:34:24.784794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대표발의의원
Text

MISSING 

Distinct134
Distinct (%)54.9%
Missing9756
Missing (%)97.6%
Memory size156.2 KiB
2024-05-03T18:34:25.563362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.3811475
Min length2

Characters and Unicode

Total characters825
Distinct characters131
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

Unique76 ?
Unique (%)31.1%

Sample

1st row오범구
2nd row손관승
3rd row이성수
4th row임영란 의원
5th row이학환
ValueCountFrequency (%)
의원 26
 
9.3%
9
 
3.2%
정승현 6
 
2.2%
2인 6
 
2.2%
신성철 6
 
2.2%
김동규 6
 
2.2%
전준호 5
 
1.8%
홍석우 5
 
1.8%
함영미 5
 
1.8%
양정숙 5
 
1.8%
Other values (126) 200
71.7%
2024-05-03T18:34:26.925750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
5.9%
36
 
4.4%
35
 
4.2%
28
 
3.4%
26
 
3.2%
26
 
3.2%
25
 
3.0%
24
 
2.9%
19
 
2.3%
18
 
2.2%
Other values (121) 539
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
94.7%
Space Separator 35
 
4.2%
Decimal Number 9
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
6.3%
36
 
4.6%
28
 
3.6%
26
 
3.3%
26
 
3.3%
25
 
3.2%
24
 
3.1%
19
 
2.4%
18
 
2.3%
17
 
2.2%
Other values (118) 513
65.7%
Decimal Number
ValueCountFrequency (%)
2 6
66.7%
3 3
33.3%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
94.7%
Common 44
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
6.3%
36
 
4.6%
28
 
3.6%
26
 
3.3%
26
 
3.3%
25
 
3.2%
24
 
3.1%
19
 
2.4%
18
 
2.3%
17
 
2.2%
Other values (118) 513
65.7%
Common
ValueCountFrequency (%)
35
79.5%
2 6
 
13.6%
3 3
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
94.7%
ASCII 44
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
6.3%
36
 
4.6%
28
 
3.6%
26
 
3.3%
26
 
3.3%
25
 
3.2%
24
 
3.1%
19
 
2.4%
18
 
2.3%
17
 
2.2%
Other values (118) 513
65.7%
ASCII
ValueCountFrequency (%)
35
79.5%
2 6
 
13.6%
3 3
 
6.8%

공동발의의원
Text

MISSING 

Distinct239
Distinct (%)76.6%
Missing9688
Missing (%)96.9%
Memory size156.2 KiB
2024-05-03T18:34:27.734266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length83
Mean length31.400641
Min length3

Characters and Unicode

Total characters9797
Distinct characters155
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)68.3%

Sample

1st row임호석 조금석 정선희
2nd row김재국, 박영근, 정승현, 이민근, 홍순목, 김진희, 윤석진, 김정택, 윤태천, 신성철, 유화
3rd row이채명,박준모 의원
4th row성복임+ 장경민+ 이견행+ 홍경호+ 신금자+ 이길호+ 이희재+ 김귀근+ 이우천
5th row곽내경 구점자 김건 김미자 박혜숙 안효식 윤병권 이학환 장성철 정창곤 최옥순 최초은
ValueCountFrequency (%)
김학원 39
 
1.9%
송혜숙 39
 
1.9%
양정숙 38
 
1.9%
의원 35
 
1.7%
조인희 35
 
1.7%
김일중 35
 
1.7%
박순희 34
 
1.7%
박찬희 34
 
1.7%
구점자 34
 
1.7%
김병전 34
 
1.7%
Other values (194) 1668
82.4%
2024-05-03T18:34:28.989444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1713
 
17.5%
, 894
 
9.1%
498
 
5.1%
368
 
3.8%
+ 315
 
3.2%
274
 
2.8%
233
 
2.4%
192
 
2.0%
169
 
1.7%
139
 
1.4%
Other values (145) 5002
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6805
69.5%
Space Separator 1713
 
17.5%
Other Punctuation 964
 
9.8%
Math Symbol 315
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
498
 
7.3%
368
 
5.4%
274
 
4.0%
233
 
3.4%
192
 
2.8%
169
 
2.5%
139
 
2.0%
132
 
1.9%
124
 
1.8%
124
 
1.8%
Other values (141) 4552
66.9%
Other Punctuation
ValueCountFrequency (%)
, 894
92.7%
· 70
 
7.3%
Space Separator
ValueCountFrequency (%)
1713
100.0%
Math Symbol
ValueCountFrequency (%)
+ 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6805
69.5%
Common 2992
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
498
 
7.3%
368
 
5.4%
274
 
4.0%
233
 
3.4%
192
 
2.8%
169
 
2.5%
139
 
2.0%
132
 
1.9%
124
 
1.8%
124
 
1.8%
Other values (141) 4552
66.9%
Common
ValueCountFrequency (%)
1713
57.3%
, 894
29.9%
+ 315
 
10.5%
· 70
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6805
69.5%
ASCII 2922
29.8%
None 70
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1713
58.6%
, 894
30.6%
+ 315
 
10.8%
Hangul
ValueCountFrequency (%)
498
 
7.3%
368
 
5.4%
274
 
4.0%
233
 
3.4%
192
 
2.8%
169
 
2.5%
139
 
2.0%
132
 
1.9%
124
 
1.8%
124
 
1.8%
Other values (141) 4552
66.9%
None
ValueCountFrequency (%)
· 70
100.0%

소관위원회
Text

MISSING 

Distinct75
Distinct (%)2.5%
Missing7027
Missing (%)70.3%
Memory size156.2 KiB
2024-05-03T18:34:29.447355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length5.4931046
Min length1

Characters and Unicode

Total characters16331
Distinct characters85
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.5%

Sample

1st row예산및조례심사특별위원회
2nd row건설교통위원회
3rd row문화복지
4th row자치행정위원회
5th row기획재정위원회
ValueCountFrequency (%)
· 407
 
13.7%
행정복지위원회 278
 
9.4%
자치행정위원회 270
 
9.1%
본회의 190
 
6.4%
산업건설위원회 160
 
5.4%
기획행정 143
 
4.8%
기획재정위원회 130
 
4.4%
재정문화위원회 121
 
4.1%
도시교통위원회 116
 
3.9%
건설교통위원회 106
 
3.6%
Other values (65) 1052
35.4%
2024-05-03T18:34:30.444407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2151
 
13.2%
1823
 
11.2%
1807
 
11.1%
1031
 
6.3%
775
 
4.7%
519
 
3.2%
420
 
2.6%
417
 
2.6%
· 407
 
2.5%
390
 
2.4%
Other values (75) 6591
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15913
97.4%
Other Punctuation 408
 
2.5%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2151
 
13.5%
1823
 
11.5%
1807
 
11.4%
1031
 
6.5%
775
 
4.9%
519
 
3.3%
420
 
2.6%
417
 
2.6%
390
 
2.5%
386
 
2.4%
Other values (71) 6194
38.9%
Other Punctuation
ValueCountFrequency (%)
· 407
99.8%
, 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15913
97.4%
Common 418
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2151
 
13.5%
1823
 
11.5%
1807
 
11.4%
1031
 
6.5%
775
 
4.9%
519
 
3.3%
420
 
2.6%
417
 
2.6%
390
 
2.5%
386
 
2.4%
Other values (71) 6194
38.9%
Common
ValueCountFrequency (%)
· 407
97.4%
) 5
 
1.2%
( 5
 
1.2%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15913
97.4%
None 407
 
2.5%
ASCII 11
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2151
 
13.5%
1823
 
11.5%
1807
 
11.4%
1031
 
6.5%
775
 
4.9%
519
 
3.3%
420
 
2.6%
417
 
2.6%
390
 
2.5%
386
 
2.4%
Other values (71) 6194
38.9%
None
ValueCountFrequency (%)
· 407
100.0%
ASCII
ValueCountFrequency (%)
) 5
45.5%
( 5
45.5%
, 1
 
9.1%

관련위원회
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9996 
예산결산특별위원회
 
4

Length

Max length9
Median length4
Mean length4.002
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9996
> 99.9%
예산결산특별위원회 4
 
< 0.1%

Length

2024-05-03T18:34:30.884929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T18:34:31.161304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9996
> 99.9%
예산결산특별위원회 4
 
< 0.1%

위원회회부일
Date

MISSING 

Distinct761
Distinct (%)36.5%
Missing7915
Missing (%)79.1%
Memory size156.2 KiB
Minimum1991-05-28 00:00:00
Maximum2024-03-06 00:00:00
2024-05-03T18:34:31.505345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:31.935771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회보고일
Date

MISSING 

Distinct198
Distinct (%)39.5%
Missing9499
Missing (%)95.0%
Memory size156.2 KiB
Minimum1996-10-23 00:00:00
Maximum2024-03-15 00:00:00
2024-05-03T18:34:32.332337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:32.733968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회상정일
Date

MISSING 

Distinct563
Distinct (%)48.8%
Missing8846
Missing (%)88.5%
Memory size156.2 KiB
Minimum1991-05-29 00:00:00
Maximum2024-03-15 00:00:00
2024-05-03T18:34:33.154222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:33.598836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회의결일
Date

MISSING 

Distinct696
Distinct (%)42.4%
Missing8359
Missing (%)83.6%
Memory size156.2 KiB
Minimum1991-05-30 00:00:00
Maximum2024-03-15 00:00:00
2024-05-03T18:34:34.189097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:34.571281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회처리결과
Categorical

IMBALANCE 

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6710 
원안가결
1008 
원안의결
912 
수정의결
 
213
처리-가결(원안)
 
183
Other values (35)
974 

Length

Max length33
Median length4
Mean length4.0456
Min length1

Unique

Unique9 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6710
67.1%
원안가결 1008
 
10.1%
원안의결 912
 
9.1%
수정의결 213
 
2.1%
처리-가결(원안) 183
 
1.8%
미처리 130
 
1.3%
기타 126
 
1.3%
원안 123
 
1.2%
수정가결 114
 
1.1%
보류 79
 
0.8%
Other values (30) 402
 
4.0%

Length

2024-05-03T18:34:34.992617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6710
66.7%
원안가결 1008
 
10.0%
원안의결 912
 
9.1%
수정의결 213
 
2.1%
처리-가결(원안 183
 
1.8%
미처리 130
 
1.3%
기타 126
 
1.3%
원안 123
 
1.2%
수정가결 114
 
1.1%
보류 79
 
0.8%
Other values (37) 463
 
4.6%

본회의보고일
Date

MISSING 

Distinct826
Distinct (%)43.0%
Missing8078
Missing (%)80.8%
Memory size156.2 KiB
Minimum1991-04-15 00:00:00
Maximum2024-03-22 00:00:00
2024-05-03T18:34:35.397660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:35.824206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의상정일
Date

MISSING 

Distinct1298
Distinct (%)34.9%
Missing6283
Missing (%)62.8%
Memory size156.2 KiB
Minimum1991-05-10 00:00:00
Maximum2024-03-22 00:00:00
2024-05-03T18:34:36.190774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:36.607369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의의결일
Date

MISSING 

Distinct1496
Distinct (%)35.7%
Missing5809
Missing (%)58.1%
Memory size156.2 KiB
Minimum1991-04-15 00:00:00
Maximum2034-12-01 00:00:00
2024-05-03T18:34:37.012709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:37.392802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리결과
Text

MISSING 

Distinct62
Distinct (%)1.1%
Missing4558
Missing (%)45.6%
Memory size156.2 KiB
2024-05-03T18:34:37.846689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length4.5569644
Min length2

Characters and Unicode

Total characters24799
Distinct characters87
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

Unique23 ?
Unique (%)0.4%

Sample

1st row처리-가결(원안)
2nd row원안가결
3rd row수정
4th row원안가결
5th row원안
ValueCountFrequency (%)
원안가결 2741
50.1%
처리-가결(원안 852
 
15.6%
원안 367
 
6.7%
원안의결 351
 
6.4%
수정가결 297
 
5.4%
기타 138
 
2.5%
보류 95
 
1.7%
수정의결 71
 
1.3%
미처리 60
 
1.1%
수정안 58
 
1.1%
Other values (61) 446
 
8.1%
2024-05-03T18:34:38.695861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4428
17.9%
4408
17.8%
4345
17.5%
3950
15.9%
967
 
3.9%
967
 
3.9%
( 916
 
3.7%
) 916
 
3.7%
- 907
 
3.7%
545
 
2.2%
Other values (77) 2450
9.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22013
88.8%
Open Punctuation 916
 
3.7%
Close Punctuation 916
 
3.7%
Dash Punctuation 907
 
3.7%
Space Separator 34
 
0.1%
Decimal Number 7
 
< 0.1%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4428
20.1%
4408
20.0%
4345
19.7%
3950
17.9%
967
 
4.4%
967
 
4.4%
545
 
2.5%
529
 
2.4%
521
 
2.4%
199
 
0.9%
Other values (64) 1154
 
5.2%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
9 1
 
14.3%
0 1
 
14.3%
2 1
 
14.3%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
/ 1
 
16.7%
, 1
 
16.7%
' 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 916
100.0%
Close Punctuation
ValueCountFrequency (%)
) 916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 907
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22013
88.8%
Common 2786
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4428
20.1%
4408
20.0%
4345
19.7%
3950
17.9%
967
 
4.4%
967
 
4.4%
545
 
2.5%
529
 
2.4%
521
 
2.4%
199
 
0.9%
Other values (64) 1154
 
5.2%
Common
ValueCountFrequency (%)
( 916
32.9%
) 916
32.9%
- 907
32.6%
34
 
1.2%
3 3
 
0.1%
. 3
 
0.1%
9 1
 
< 0.1%
0 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22013
88.8%
ASCII 2786
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4428
20.1%
4408
20.0%
4345
19.7%
3950
17.9%
967
 
4.4%
967
 
4.4%
545
 
2.5%
529
 
2.4%
521
 
2.4%
199
 
0.9%
Other values (64) 1154
 
5.2%
ASCII
ValueCountFrequency (%)
( 916
32.9%
) 916
32.9%
- 907
32.6%
34
 
1.2%
3 3
 
0.1%
. 3
 
0.1%
9 1
 
< 0.1%
0 1
 
< 0.1%
2 1
 
< 0.1%
1 1
 
< 0.1%
Other values (3) 3
 
0.1%

재의보고일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재의상정일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재의의결일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재의처리결과
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

집행기관이송일
Date

MISSING 

Distinct548
Distinct (%)29.8%
Missing8159
Missing (%)81.6%
Memory size156.2 KiB
Minimum1991-05-28 00:00:00
Maximum2024-03-22 00:00:00
2024-05-03T18:34:39.061446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:39.492353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일
Date

MISSING 

Distinct291
Distinct (%)39.4%
Missing9261
Missing (%)92.6%
Memory size156.2 KiB
Minimum1991-06-21 00:00:00
Maximum2024-04-08 00:00:00
2024-05-03T18:34:39.926518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:40.400199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Real number (ℝ)

MISSING 

Distinct780
Distinct (%)95.4%
Missing9182
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean10813.496
Minimum9
Maximum344100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T18:34:40.760765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1055.7
Q11486
median2069.5
Q33022.75
95-th percentile3966.45
Maximum344100
Range344091
Interquartile range (IQR)1536.75

Descriptive statistics

Standard deviation53111.717
Coefficient of variation (CV)4.9116137
Kurtosis34.190996
Mean10813.496
Median Absolute Deviation (MAD)705.5
Skewness6.0075542
Sum8845440
Variance2.8208544 × 109
MonotonicityNot monotonic
2024-05-03T18:34:41.217029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1497 2
 
< 0.1%
1371 2
 
< 0.1%
1158 2
 
< 0.1%
1469 2
 
< 0.1%
1353 2
 
< 0.1%
1202 2
 
< 0.1%
1576 2
 
< 0.1%
1567 2
 
< 0.1%
2255 2
 
< 0.1%
1715 2
 
< 0.1%
Other values (770) 798
 
8.0%
(Missing) 9182
91.8%
ValueCountFrequency (%)
9 1
< 0.1%
20 1
< 0.1%
38 1
< 0.1%
41 1
< 0.1%
52 1
< 0.1%
58 1
< 0.1%
372 1
< 0.1%
378 1
< 0.1%
380 1
< 0.1%
384 1
< 0.1%
ValueCountFrequency (%)
344100 1
< 0.1%
343700 1
< 0.1%
342900 1
< 0.1%
342400 1
< 0.1%
341800 1
< 0.1%
341600 1
< 0.1%
339200 1
< 0.1%
338400 1
< 0.1%
337900 1
< 0.1%
337700 1
< 0.1%

철회일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2019-04-25 00:00:00
Maximum2019-04-25 00:00:00
2024-05-03T18:34:41.651122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T18:34:42.072467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

철회요지
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-05-03T18:34:42.389318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row재검토 철회
ValueCountFrequency (%)
재검토 1
50.0%
철회 1
50.0%
2024-05-03T18:34:43.171828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
83.3%
Space Separator 1
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
83.3%
Common 1
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
83.3%
ASCII 1
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
ASCII
ValueCountFrequency (%)
1
100.0%

원안파일URL
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9125 
https://www.ypcouncil.go.kr/assembly/
 
813
http://www.ujbcl.go.kr
 
31
https://www.osancouncil.go.kr/kr/bill/search
 
15
https://council.hscity.go.kr/UPDIR/gt_bill/5c9eb8c9a52d59397244792999b7f948.hwp
 
1
Other values (15)
 
15

Length

Max length79
Median length4
Mean length6.9187
Min length4

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd rowhttps://www.ypcouncil.go.kr/assembly/
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9125
91.2%
https://www.ypcouncil.go.kr/assembly/ 813
 
8.1%
http://www.ujbcl.go.kr 31
 
0.3%
https://www.osancouncil.go.kr/kr/bill/search 15
 
0.1%
https://council.hscity.go.kr/UPDIR/gt_bill/5c9eb8c9a52d59397244792999b7f948.hwp 1
 
< 0.1%
https://council.hscity.go.kr/UPDIR/gt_bill/cd68cbe8522099507df122b7462880a0.hwp 1
 
< 0.1%
https://council.hscity.go.kr/UPDIR/gt_bill/1274b72d4a2bc00590bf58109c05d46d.hwp 1
 
< 0.1%
https://council.hscity.go.kr/UPDIR/gt_bill/31b8f515c397696d28f736016be67cd3.hwp 1
 
< 0.1%
https://council.hscity.go.kr/UPDIR/gt_bill/b4adb96e6a80dc6032381cdcb63c760b.hwp 1
 
< 0.1%
https://council.hscity.go.kr/UPDIR/gt_bill/c0447fd2c09d77c1e6031c3ff385af4c.hwp 1
 
< 0.1%
Other values (10) 10
 
0.1%

Length

2024-05-03T18:34:43.686575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9125
91.2%
https://www.ypcouncil.go.kr/assembly 813
 
8.1%
http://www.ujbcl.go.kr 31
 
0.3%
https://www.osancouncil.go.kr/kr/bill/search 15
 
0.1%
https://council.hscity.go.kr/updir/gt_bill/6a64cd5b23cb15b56e2a8f38011cedba.hwp 1
 
< 0.1%
https://council.hscity.go.kr/updir/gt_bill/33ffc72ceb61acc449841a339b50f97e.hwp 1
 
< 0.1%
https://council.hscity.go.kr/updir/gt_bill/f111930a6d04d778ad73d074e5b03120.hwp 1
 
< 0.1%
https://council.hscity.go.kr/updir/gt_bill/af2500eedad734ceddd321dbb013c32d.hwp 1
 
< 0.1%
https://council.hscity.go.kr/updir/gt_bill/d83e932c4d3841b7e3e029e7fe80c2bc.hwp 1
 
< 0.1%
https://council.hscity.go.kr/updir/gt_bill/acb3652629e0b6bb819ac0a15d218872.xls 1
 
< 0.1%
Other values (10) 10
 
0.1%

수정안파일URL
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9141 
https://www.ypcouncil.go.kr/assembly/
 
813
http://www.ujbcl.go.kr
 
31
https://www.osancouncil.go.kr/kr/bill/search
 
15

Length

Max length44
Median length4
Mean length6.7987
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd rowhttps://www.ypcouncil.go.kr/assembly/
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9141
91.4%
https://www.ypcouncil.go.kr/assembly/ 813
 
8.1%
http://www.ujbcl.go.kr 31
 
0.3%
https://www.osancouncil.go.kr/kr/bill/search 15
 
0.1%

Length

2024-05-03T18:34:44.183419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T18:34:44.519322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9141
91.4%
https://www.ypcouncil.go.kr/assembly 813
 
8.1%
http://www.ujbcl.go.kr 31
 
0.3%
https://www.osancouncil.go.kr/kr/bill/search 15
 
0.1%

위원회회의록URL
Text

MISSING 

Distinct58
Distinct (%)6.1%
Missing9053
Missing (%)90.5%
Memory size156.2 KiB
2024-05-03T18:34:44.951123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length37
Mean length40.765576
Min length22

Characters and Unicode

Total characters38605
Distinct characters39
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

Unique38 ?
Unique (%)4.0%

Sample

1st rowhttps://www.ypcouncil.go.kr/assembly/
2nd rowhttp://www.ujbcl.go.kr
3rd rowhttps://www.ypcouncil.go.kr/assembly/
4th rowhttps://www.ypcouncil.go.kr/assembly/
5th rowhttps://www.ypcouncil.go.kr/assembly/
ValueCountFrequency (%)
https://www.ypcouncil.go.kr/assembly 813
85.9%
http://www.ujbcl.go.kr 31
 
3.3%
https://www.osancouncil.go.kr/assembly/late 15
 
1.6%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=884 5
 
0.5%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=1422 5
 
0.5%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=4153 4
 
0.4%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=3002 4
 
0.4%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=3816 4
 
0.4%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=4354 3
 
0.3%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=3892 3
 
0.3%
Other values (48) 60
 
6.3%
2024-05-03T18:34:45.755742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4078
 
10.6%
s 3203
 
8.3%
. 2929
 
7.6%
w 2753
 
7.1%
c 2303
 
6.0%
t 2261
 
5.9%
p 1936
 
5.0%
o 1878
 
4.9%
l 1790
 
4.6%
y 1729
 
4.5%
Other values (29) 13745
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29790
77.2%
Other Punctuation 8042
 
20.8%
Uppercase Letter 352
 
0.9%
Decimal Number 333
 
0.9%
Math Symbol 88
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 3203
 
10.8%
w 2753
 
9.2%
c 2303
 
7.7%
t 2261
 
7.6%
p 1936
 
6.5%
o 1878
 
6.3%
l 1790
 
6.0%
y 1729
 
5.8%
n 1283
 
4.3%
h 1211
 
4.1%
Other values (11) 9443
31.7%
Decimal Number
ValueCountFrequency (%)
4 59
17.7%
3 48
14.4%
1 45
13.5%
2 41
12.3%
8 32
9.6%
9 27
8.1%
6 22
 
6.6%
7 21
 
6.3%
5 19
 
5.7%
0 19
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 4078
50.7%
. 2929
36.4%
: 947
 
11.8%
? 88
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
S 176
50.0%
V 88
25.0%
M 88
25.0%
Math Symbol
ValueCountFrequency (%)
= 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30142
78.1%
Common 8463
 
21.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 3203
 
10.6%
w 2753
 
9.1%
c 2303
 
7.6%
t 2261
 
7.5%
p 1936
 
6.4%
o 1878
 
6.2%
l 1790
 
5.9%
y 1729
 
5.7%
n 1283
 
4.3%
h 1211
 
4.0%
Other values (14) 9795
32.5%
Common
ValueCountFrequency (%)
/ 4078
48.2%
. 2929
34.6%
: 947
 
11.2%
= 88
 
1.0%
? 88
 
1.0%
4 59
 
0.7%
3 48
 
0.6%
1 45
 
0.5%
2 41
 
0.5%
8 32
 
0.4%
Other values (5) 108
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4078
 
10.6%
s 3203
 
8.3%
. 2929
 
7.6%
w 2753
 
7.1%
c 2303
 
6.0%
t 2261
 
5.9%
p 1936
 
5.0%
o 1878
 
4.9%
l 1790
 
4.6%
y 1729
 
4.5%
Other values (29) 13745
35.6%

본회의회의록URL
Text

MISSING 

Distinct418
Distinct (%)22.3%
Missing8127
Missing (%)81.3%
Memory size156.2 KiB
2024-05-03T18:34:46.185808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length82
Mean length58.75654
Min length22

Characters and Unicode

Total characters110051
Distinct characters42
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

Unique197 ?
Unique (%)10.5%

Sample

1st rowhttps://www.ypcouncil.go.kr/assembly/
2nd rowhttp://www.ujbcl.go.kr
3rd rowhttps://www.ypcouncil.go.kr/assembly/
4th rowhttp://council.icheon.go.kr/minutes/city/xcom/web/minutesViewer.php?id=384
5th rowhttps://www.ypcouncil.go.kr/assembly/
ValueCountFrequency (%)
https://www.ypcouncil.go.kr/assembly 813
43.4%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=2674 40
 
2.1%
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=1794 31
 
1.7%
http://www.ujbcl.go.kr 31
 
1.7%
https://www.osancouncil.go.kr/assembly/late 15
 
0.8%
http://council.icheon.go.kr/minutes/city/xcom/web/minutesviewer.php?id=2663 13
 
0.7%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=4265 9
 
0.5%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=3088 8
 
0.4%
https://council.icheon.go.kr/content/minutes/session.html?mode=city&mdaesu=8&mss=233 8
 
0.4%
https://council.hscity.go.kr/minutes/svc/web/cms/mnts/svcmntsviewer.php?schsn=1003 8
 
0.4%
Other values (408) 897
47.9%
2024-05-03T18:34:47.048756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 10727
 
9.7%
c 7455
 
6.8%
t 7246
 
6.6%
s 6903
 
6.3%
i 6785
 
6.2%
. 6633
 
6.0%
e 6229
 
5.7%
n 5342
 
4.9%
o 5154
 
4.7%
p 4620
 
4.2%
Other values (32) 42957
39.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 82805
75.2%
Other Punctuation 20341
 
18.5%
Decimal Number 3783
 
3.4%
Uppercase Letter 2014
 
1.8%
Math Symbol 1108
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 7455
 
9.0%
t 7246
 
8.8%
s 6903
 
8.3%
i 6785
 
8.2%
e 6229
 
7.5%
n 5342
 
6.5%
o 5154
 
6.2%
p 4620
 
5.6%
w 4511
 
5.4%
h 4250
 
5.1%
Other values (13) 24310
29.4%
Decimal Number
ValueCountFrequency (%)
2 671
17.7%
1 486
12.8%
3 470
12.4%
6 370
9.8%
4 358
9.5%
8 327
8.6%
7 292
7.7%
5 290
7.7%
9 260
 
6.9%
0 259
 
6.8%
Other Punctuation
ValueCountFrequency (%)
/ 10727
52.7%
. 6633
32.6%
: 1873
 
9.2%
? 1014
 
5.0%
& 94
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
V 967
48.0%
S 698
34.7%
M 349
 
17.3%
Math Symbol
ValueCountFrequency (%)
= 1108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 84819
77.1%
Common 25232
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 7455
 
8.8%
t 7246
 
8.5%
s 6903
 
8.1%
i 6785
 
8.0%
e 6229
 
7.3%
n 5342
 
6.3%
o 5154
 
6.1%
p 4620
 
5.4%
w 4511
 
5.3%
h 4250
 
5.0%
Other values (16) 26324
31.0%
Common
ValueCountFrequency (%)
/ 10727
42.5%
. 6633
26.3%
: 1873
 
7.4%
= 1108
 
4.4%
? 1014
 
4.0%
2 671
 
2.7%
1 486
 
1.9%
3 470
 
1.9%
6 370
 
1.5%
4 358
 
1.4%
Other values (6) 1522
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 10727
 
9.7%
c 7455
 
6.8%
t 7246
 
6.6%
s 6903
 
6.3%
i 6785
 
6.2%
. 6633
 
6.0%
e 6229
 
5.7%
n 5342
 
4.9%
o 5154
 
4.7%
p 4620
 
4.2%
Other values (32) 42957
39.0%

Sample

기관명대수회기의안번호의안명의안종류발의일발의자발의자구분공동발의여부대표발의의원공동발의의원소관위원회관련위원회위원회회부일위원회보고일위원회상정일위원회의결일위원회처리결과본회의보고일본회의상정일본회의의결일본회의처리결과재의보고일재의상정일재의의결일재의처리결과집행기관이송일공포일공포번호철회일자철회요지원안파일URL수정안파일URL위원회회의록URL본회의회의록URL
22156양주시의회3<NA>6양주군남면하수종말처리장관리사무의민간위탁동의안동의안/승인안2002-07-05군수<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2002-07-162002-07-162002-07-16처리-가결(원안)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38444양평군의회4제114회 임시회03-Sep제114회양평군의회(임시회)회의록서명의원선출의건<NA>2003-05-13의장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>https://www.ypcouncil.go.kr/assembly/https://www.ypcouncil.go.kr/assembly/https://www.ypcouncil.go.kr/assembly/https://www.ypcouncil.go.kr/assembly/
30952의왕시의회131303의왕시공인조례중개정조례안<NA>1995-03-20의왕시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12976여주시의회3제40회 제1차 정례회9082019년도 행정사무감사 결과보고서 의결의 건결의안2019-06-24여주시장시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019-06-25원안가결<NA><NA><NA><NA>2019-06-25<NA><NA><NA><NA><NA><NA><NA><NA>
40074수원시의회11<NA>2019-192수원시 중독관리 통합지원 센터 민간위탁 운영 동의안 (장안구 보건소 보건행정과)동의안2019-11-04수원시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18706과천시의회5<NA>2009-532009년도 제3회 추가경정 세입세출예산안<NA>2009-11-26과천시장<NA><NA><NA><NA>예산및조례심사특별위원회<NA><NA><NA><NA><NA><NA><NA>2009-12-022009-12-04수정<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42996부천시의회5157538부천시 청소년 유해광고물 단속 조례안조례안(제정)2009-11-23김승동,주수종,한상호,박노설,신석철,김원재,류재구,이환희,오세완,김문호의원<NA><NA><NA><NA>건설교통위원회<NA>2009-11-23<NA>2009-12-172009-12-17원안의결<NA>2009-12-232009-12-23원안가결<NA><NA><NA><NA>2009-12-242010-01-112482<NA><NA><NA><NA><NA><NA>
52330안산시의회72242771안산시 자활근로사업 및 자활교육훈련지원 민간위탁 동의안동의안2015-11-18안산시장시장<NA><NA><NA>문화복지<NA>2015-11-24<NA>2015-11-302015-12-10원안2015-12-212015-12-212015-12-21원안<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13188의정부시의회82902019-81시장 등 관계공무원 출석 요구의 건(오범구 의원)중요동의2019-05-31오범구 의원 외 3명의원Y오범구임호석 조금석 정선희<NA><NA><NA><NA><NA><NA><NA>2019-06-102019-06-102019-06-10원안가결<NA><NA><NA><NA>2019-06-10<NA><NA><NA><NA>http://www.ujbcl.go.krhttp://www.ujbcl.go.krhttp://www.ujbcl.go.krhttp://www.ujbcl.go.kr
18742수원시의회6<NA>2000-7수원시 공중화장실 설치 및 관리에 관한 조례 개정조례안<NA>2000-02-02수원시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
기관명대수회기의안번호의안명의안종류발의일발의자발의자구분공동발의여부대표발의의원공동발의의원소관위원회관련위원회위원회회부일위원회보고일위원회상정일위원회의결일위원회처리결과본회의보고일본회의상정일본회의의결일본회의처리결과재의보고일재의상정일재의의결일재의처리결과집행기관이송일공포일공포번호철회일자철회요지원안파일URL수정안파일URL위원회회의록URL본회의회의록URL
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2128가평군의회8<NA>756가평군 청소년시설 설치 및 운영 조례 일부개정조례안<NA>2022-06-10가평군수<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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39280수원시의회10<NA>2016-150수원시 건축 조례 일부개정조례안<NA>2016-08-18수원시청<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31273안양시의회3<NA>321안양시 수해발생에 관한 행정사무조사 발의의 건<NA>2001-08-13임채호 의원 외 14인의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
16815남양주시의회4<NA>434예산결산특별위원회 선임의 건<NA>2006-04-26의장미선택<NA><NA><NA><NA><NA><NA><NA><NA><NA>미처리<NA>2006-04-262006-04-26원안가결<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17366양평군의회8255회 임시회2018-105양평군 소송수행자 포상금 지급 조례 전부개정조례안<NA>2018-10-04군수<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>https://www.ypcouncil.go.kr/assembly/https://www.ypcouncil.go.kr/assembly/https://www.ypcouncil.go.kr/assembly/https://www.ypcouncil.go.kr/assembly/
33423양주시의회2<NA>708제66회임시회회기결정의건기타안건1998-05-06의장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-05-121998-05-121998-05-12처리-가결(원안)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
16149광주시의회93022446광주시 주차장 설치 및 관리 조례 일부개정조례안조례안2023-05-19광주시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
16215남양주시의회4<NA>347휴회결정의건<NA><NA>의장미선택<NA><NA><NA><NA><NA><NA><NA><NA><NA>미처리<NA><NA><NA>원안가결<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

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기관명대수회기의안번호의안명의안종류발의일발의자발의자구분공동발의여부대표발의의원공동발의의원소관위원회관련위원회위원회회부일위원회보고일위원회상정일위원회의결일위원회처리결과본회의보고일본회의상정일본회의의결일본회의처리결과집행기관이송일공포일공포번호철회일자철회요지원안파일URL수정안파일URL위원회회의록URL본회의회의록URL# duplicates
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1군포시의회82544340군포시 개인형 이동장치 이용 및 안전 증진 조례안조례안2021-08-20홍경호 의원 등 9인의원<NA><NA>성복임+ 장경민+ 이견행+ 홍경호+ 신금자+ 이길호+ 이희재+ 김귀근+ 이우천<NA><NA><NA><NA><NA><NA><NA><NA>2021-09-142021-09-14<NA>2021-09-14<NA><NA><NA><NA><NA><NA><NA><NA>2
2군포시의회82564420군포시 국가보훈대상자 등 예우 및 지원에 관한 조례 일부개정조례안조례안2021-11-18군포시장군포시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-12-202021-12-20<NA>2021-12-20<NA><NA><NA><NA><NA><NA><NA><NA>2
3군포시의회82564428군포시 지방공무원 여비 조례 일부개정조례안조례안2021-11-18군포시장군포시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-12-202021-12-20<NA>2021-12-20<NA><NA><NA><NA><NA><NA><NA><NA>2
4군포시의회825844702022년도 군포시 제1회 군포시 추가경정예산안예산및결산안2022-01-27군포시장군포시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-02-142022-02-14<NA>2022-02-14<NA><NA><NA><NA><NA><NA><NA><NA>2
5군포시의회92614544군포시 지속가능발전 기본 조례안조례안2022-07-12군포시장군포시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-07-292022-07-29<NA>2022-07-29<NA><NA><NA><NA><NA><NA><NA><NA>2
6군포시의회92644612제5기(2023-2026)군포시 지역사회보장계획 보고기타2022-10-26군포시장군포시장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2022-11-24<NA><NA><NA><NA><NA><NA><NA><NA>2
7남양주시의회2<NA>43998년도일반및특별회계세입세출수정예산산<NA><NA>시장미선택<NA><NA><NA><NA><NA><NA><NA><NA><NA>수정가결<NA><NA><NA>수정가결<NA><NA><NA><NA><NA><NA><NA><NA><NA>2