Overview

Dataset statistics

Number of variables7
Number of observations1029
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.4 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical4
Text1
DateTime1

Dataset

Description전라남도 곡성군 회의록홈페이지 번호, 대수, 회수, 차수, 회의종류, 회의구분, 회의날짜를포함하여 정보 제공합니다.
URLhttps://www.data.go.kr/data/15063848/fileData.do

Alerts

번호 is highly overall correlated with 대수High correlation
대수 is highly overall correlated with 번호High correlation
회의종류 is highly imbalanced (54.4%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:52:57.635633
Analysis finished2023-12-12 02:52:58.326822
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1029
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515
Minimum1
Maximum1029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2023-12-12T11:52:58.442937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile52.4
Q1258
median515
Q3772
95-th percentile977.6
Maximum1029
Range1028
Interquartile range (IQR)514

Descriptive statistics

Standard deviation297.19102
Coefficient of variation (CV)0.57706993
Kurtosis-1.2
Mean515
Median Absolute Deviation (MAD)257
Skewness0
Sum529935
Variance88322.5
MonotonicityStrictly increasing
2023-12-12T11:52:58.646163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
645 1
 
0.1%
679 1
 
0.1%
680 1
 
0.1%
681 1
 
0.1%
682 1
 
0.1%
683 1
 
0.1%
684 1
 
0.1%
685 1
 
0.1%
686 1
 
0.1%
Other values (1019) 1019
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1029 1
0.1%
1028 1
0.1%
1027 1
0.1%
1026 1
0.1%
1025 1
0.1%
1024 1
0.1%
1023 1
0.1%
1022 1
0.1%
1021 1
0.1%
1020 1
0.1%

대수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
8대
254 
7대
253 
6대
229 
5대
207 
9대
86 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5대
2nd row5대
3rd row5대
4th row5대
5th row5대

Common Values

ValueCountFrequency (%)
8대 254
24.7%
7대 253
24.6%
6대 229
22.3%
5대 207
20.1%
9대 86
 
8.4%

Length

2023-12-12T11:52:58.890390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:52:59.060932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8대 254
24.7%
7대 253
24.6%
6대 229
22.3%
5대 207
20.1%
9대 86
 
8.4%

회수
Text

Distinct112
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T11:52:59.483552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0126336
Min length4

Characters and Unicode

Total characters5158
Distinct characters13
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

Unique2 ?
Unique (%)0.2%

Sample

1st row제152회
2nd row제153회
3rd row제153회
4th row제153회
5th row제153회
ValueCountFrequency (%)
제237회 29
 
2.8%
제257회 29
 
2.8%
제215회 28
 
2.7%
제250회 27
 
2.6%
제221회 27
 
2.6%
제232회 27
 
2.6%
제209회 26
 
2.5%
제245회 26
 
2.5%
제226회 25
 
2.4%
제203회 24
 
2.3%
Other values (102) 761
74.0%
2023-12-12T11:53:00.065437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 1029
19.9%
회 1029
19.9%
2 863
16.7%
1 580
11.2%
5 294
 
5.7%
6 213
 
4.1%
0 210
 
4.1%
7 202
 
3.9%
3 200
 
3.9%
9 198
 
3.8%
Other values (3) 340
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3086
59.8%
Other Letter 2058
39.9%
Space Separator 14
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 863
28.0%
1 580
18.8%
5 294
 
9.5%
6 213
 
6.9%
0 210
 
6.8%
7 202
 
6.5%
3 200
 
6.5%
9 198
 
6.4%
4 177
 
5.7%
8 149
 
4.8%
Other Letter
ValueCountFrequency (%)
제 1029
50.0%
회 1029
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3100
60.1%
Hangul 2058
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 863
27.8%
1 580
18.7%
5 294
 
9.5%
6 213
 
6.9%
0 210
 
6.8%
7 202
 
6.5%
3 200
 
6.5%
9 198
 
6.4%
4 177
 
5.7%
8 149
 
4.8%
Hangul
ValueCountFrequency (%)
제 1029
50.0%
회 1029
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3100
60.1%
Hangul 2058
39.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 1029
50.0%
회 1029
50.0%
ASCII
ValueCountFrequency (%)
2 863
27.8%
1 580
18.7%
5 294
 
9.5%
6 213
 
6.9%
0 210
 
6.8%
7 202
 
6.5%
3 200
 
6.5%
9 198
 
6.4%
4 177
 
5.7%
8 149
 
4.8%

차수
Categorical

Distinct18
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
제1차
179 
제2차
169 
제3차
131 
개회식
108 
제4차
102 
Other values (13)
340 

Length

Max length4
Median length3
Mean length3.0495627
Min length3

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row개회식
2nd row제4차
3rd row제3차
4th row제2차
5th row제1차

Common Values

ValueCountFrequency (%)
제1차 179
17.4%
제2차 169
16.4%
제3차 131
12.7%
개회식 108
10.5%
제4차 102
9.9%
제5차 87
8.5%
제6차 63
 
6.1%
제7차 52
 
5.1%
제8차 48
 
4.7%
제9차 36
 
3.5%
Other values (8) 54
 
5.2%

Length

2023-12-12T11:53:00.244258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제1차 179
17.4%
제2차 169
16.4%
제3차 131
12.7%
개회식 108
10.5%
제4차 102
9.9%
제5차 87
8.5%
제6차 63
 
6.1%
제7차 52
 
5.1%
제8차 48
 
4.7%
제9차 36
 
3.5%
Other values (8) 54
 
5.2%

회의종류
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
본회의
686 
예산결산특별위원회
293 
행정사무감사특별위원회
 
32
행정사무조사특별위원회
 
15
조례규칙특별위원회
 
2

Length

Max length11
Median length3
Mean length5.0894072
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
본회의 686
66.7%
예산결산특별위원회 293
28.5%
행정사무감사특별위원회 32
 
3.1%
행정사무조사특별위원회 15
 
1.5%
조례규칙특별위원회 2
 
0.2%
윤리특별위원회 1
 
0.1%

Length

2023-12-12T11:53:00.411607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:53:00.538425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본회의 686
66.7%
예산결산특별위원회 293
28.5%
행정사무감사특별위원회 32
 
3.1%
행정사무조사특별위원회 15
 
1.5%
조례규칙특별위원회 2
 
0.2%
윤리특별위원회 1
 
0.1%

회의구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
정례회
583 
임시회
446 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정례회 583
56.7%
임시회 446
43.3%

Length

2023-12-12T11:53:00.664831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:53:00.814517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정례회 583
56.7%
임시회 446
43.3%

회의날짜
Date

Distinct852
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum2006-07-01 00:00:00
Maximum2023-06-29 00:00:00
2023-12-12T11:53:00.967382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:53:01.168984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T11:52:57.947474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:53:01.313590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대수차수회의종류회의구분
번호1.0000.9980.0000.2540.162
대수0.9981.0000.0000.2010.027
차수0.0000.0001.0000.1380.509
회의종류0.2540.2010.1381.0000.270
회의구분0.1620.0270.5090.2701.000
2023-12-12T11:53:01.443057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차수회의종류대수회의구분
차수1.0000.0550.0000.400
회의종류0.0551.0000.1370.194
대수0.0000.1371.0000.033
회의구분0.4000.1940.0331.000
2023-12-12T11:53:01.578524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대수차수회의종류회의구분
번호1.0000.9250.0000.1360.124
대수0.9251.0000.0000.1370.033
차수0.0000.0001.0000.0550.400
회의종류0.1360.1370.0551.0000.194
회의구분0.1240.0330.4000.1941.000

Missing values

2023-12-12T11:52:58.108518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:52:58.263173image/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.

Sample

번호대수회수차수회의종류회의구분회의날짜
015대제152회개회식본회의임시회2006-07-01
125대제153회제4차본회의임시회2006-07-14
235대제153회제3차본회의임시회2006-07-13
345대제153회제2차본회의임시회2006-07-12
455대제153회제1차본회의임시회2006-07-11
565대제153회개회식본회의임시회2006-07-11
675대제154회제8차본회의정례회2006-09-08
785대제154회제7차본회의정례회2006-09-05
895대제154회제6차본회의정례회2006-09-04
9105대제154회제5차본회의정례회2006-08-29
번호대수회수차수회의종류회의구분회의날짜
101910209대제261회제2차예산결산특별위원회정례회2023-06-20
102010219대제261회제2차본회의정례회2023-06-07
102110229대제261회제3차본회의정례회2023-06-08
102210239대제261회제4차본회의정례회2023-06-09
102310249대제261회제5차본회의정례회2023-06-12
102410259대제261회제6차본회의정례회2023-06-13
102510269대제261회제7차본회의정례회2023-06-14
102610279대제261회제8차본회의정례회2023-06-21
102710289대제262회개회식본회의임시회2023-06-29
102810299대제262회제1차본회의임시회2023-06-29