Overview

Dataset statistics

Number of variables8
Number of observations1025
Missing cells49
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.2 KiB
Average record size in memory65.1 B

Variable types

Text3
Numeric1
DateTime3
Categorical1

Dataset

Description전라남도 곡성군의 의안정보(안건, 회순, 회수, 차수, 제안자, 제출일, 의안구분, 의안명, 제안일자, 제안자, 상정일 등에 관한 데이터입니다)
URLhttps://www.data.go.kr/data/15037983/fileData.do

Alerts

처리결과 is highly imbalanced (76.4%)Imbalance
이송일 has 45 (4.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:42:24.151169
Analysis finished2023-12-12 03:42:25.199959
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Text

Distinct1023
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-12T12:42:25.512255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.0507317
Min length7

Characters and Unicode

Total characters7227
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

Unique1021 ?
Unique (%)99.6%

Sample

1st row2009-01
2nd row2009-02
3rd row2009-03
4th row2009-04
5th row2009-05
ValueCountFrequency (%)
2013-35 2
 
0.2%
2013-18 2
 
0.2%
2022-89 1
 
0.1%
2019-96 1
 
0.1%
2020-05 1
 
0.1%
2019-98 1
 
0.1%
2009-01 1
 
0.1%
2019-99 1
 
0.1%
2019-87 1
 
0.1%
2019-88 1
 
0.1%
Other values (1013) 1013
98.8%
2023-12-12T12:42:26.120454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1710
23.7%
0 1429
19.8%
1 1099
15.2%
- 1027
14.2%
5 313
 
4.3%
9 306
 
4.2%
4 282
 
3.9%
6 278
 
3.8%
3 277
 
3.8%
7 262
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6200
85.8%
Dash Punctuation 1027
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1710
27.6%
0 1429
23.0%
1 1099
17.7%
5 313
 
5.0%
9 306
 
4.9%
4 282
 
4.5%
6 278
 
4.5%
3 277
 
4.5%
7 262
 
4.2%
8 244
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1027
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7227
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1710
23.7%
0 1429
19.8%
1 1099
15.2%
- 1027
14.2%
5 313
 
4.3%
9 306
 
4.2%
4 282
 
3.9%
6 278
 
3.8%
3 277
 
3.8%
7 262
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1710
23.7%
0 1429
19.8%
1 1099
15.2%
- 1027
14.2%
5 313
 
4.3%
9 306
 
4.2%
4 282
 
3.9%
6 278
 
3.8%
3 277
 
3.8%
7 262
 
3.6%

회차
Real number (ℝ)

Distinct76
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.92976
Minimum171
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2023-12-12T12:42:26.323073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171
5-th percentile176
Q1214
median226
Q3245
95-th percentile256
Maximum258
Range87
Interquartile range (IQR)31

Descriptive statistics

Standard deviation22.311295
Coefficient of variation (CV)0.099192279
Kurtosis-0.33989537
Mean224.92976
Median Absolute Deviation (MAD)16
Skewness-0.6180764
Sum230553
Variance497.79389
MonotonicityNot monotonic
2023-12-12T12:42:26.516281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215 59
 
5.8%
250 57
 
5.6%
237 52
 
5.1%
221 37
 
3.6%
245 36
 
3.5%
248 32
 
3.1%
257 31
 
3.0%
226 29
 
2.8%
232 29
 
2.8%
225 25
 
2.4%
Other values (66) 638
62.2%
ValueCountFrequency (%)
171 8
0.8%
172 4
 
0.4%
173 10
1.0%
174 9
0.9%
175 17
1.7%
176 5
 
0.5%
181 12
1.2%
182 3
 
0.3%
183 9
0.9%
184 1
 
0.1%
ValueCountFrequency (%)
258 6
 
0.6%
257 31
3.0%
256 16
 
1.6%
255 9
 
0.9%
253 7
 
0.7%
252 21
 
2.0%
251 3
 
0.3%
250 57
5.6%
249 16
 
1.6%
248 32
3.1%

안건
Text

Distinct872
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-12T12:42:26.815781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length46
Mean length24.659512
Min length10

Characters and Unicode

Total characters25276
Distinct characters392
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique790 ?
Unique (%)77.1%

Sample

1st row곡성군조례규칙등공포에관한조례일부개정조례안
2nd row곡성군섬진강기차마을운영에관한조례일부개정조례안
3rd row곡성군제증명등수수료징수조례일부개정조례안
4th row곡성군한옥지원조례안
5th row곡성군립노인전문병원설치및운영조례안
ValueCountFrequency (%)
곡성군 647
 
11.7%
조례 404
 
7.3%
일부개정조례안 371
 
6.7%
및 231
 
4.2%
조례안 209
 
3.8%
관한 194
 
3.5%
운영 121
 
2.2%
지원 92
 
1.7%
설치 89
 
1.6%
동의안 84
 
1.5%
Other values (1220) 3094
55.9%
2023-12-12T12:42:27.472149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4530
 
17.9%
조 1248
 
4.9%
례 1192
 
4.7%
안 1017
 
4.0%
성 877
 
3.5%
군 837
 
3.3%
곡 798
 
3.2%
정 700
 
2.8%
부 495
 
2.0%
개 490
 
1.9%
Other values (382) 13092
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19907
78.8%
Space Separator 4530
 
17.9%
Decimal Number 712
 
2.8%
Open Punctuation 41
 
0.2%
Close Punctuation 40
 
0.2%
Other Punctuation 36
 
0.1%
Uppercase Letter 7
 
< 0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1248
 
6.3%
례 1192
 
6.0%
안 1017
 
5.1%
성 877
 
4.4%
군 837
 
4.2%
곡 798
 
4.0%
정 700
 
3.5%
부 495
 
2.5%
개 490
 
2.5%
관 462
 
2.3%
Other values (357) 11791
59.2%
Decimal Number
ValueCountFrequency (%)
2 251
35.3%
0 190
26.7%
1 145
20.4%
9 28
 
3.9%
3 28
 
3.9%
4 17
 
2.4%
6 15
 
2.1%
5 15
 
2.1%
7 12
 
1.7%
8 11
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
V 1
14.3%
T 1
14.3%
G 1
14.3%
M 1
14.3%
O 1
14.3%
Other Punctuation
ValueCountFrequency (%)
· 20
55.6%
, 9
25.0%
. 6
 
16.7%
/ 1
 
2.8%
Space Separator
ValueCountFrequency (%)
4530
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19907
78.8%
Common 5362
 
21.2%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1248
 
6.3%
례 1192
 
6.0%
안 1017
 
5.1%
성 877
 
4.4%
군 837
 
4.2%
곡 798
 
4.0%
정 700
 
3.5%
부 495
 
2.5%
개 490
 
2.5%
관 462
 
2.3%
Other values (357) 11791
59.2%
Common
ValueCountFrequency (%)
4530
84.5%
2 251
 
4.7%
0 190
 
3.5%
1 145
 
2.7%
( 41
 
0.8%
) 40
 
0.7%
9 28
 
0.5%
3 28
 
0.5%
· 20
 
0.4%
4 17
 
0.3%
Other values (9) 72
 
1.3%
Latin
ValueCountFrequency (%)
C 2
28.6%
V 1
14.3%
T 1
14.3%
G 1
14.3%
M 1
14.3%
O 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19905
78.8%
ASCII 5349
 
21.2%
None 20
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4530
84.7%
2 251
 
4.7%
0 190
 
3.6%
1 145
 
2.7%
( 41
 
0.8%
) 40
 
0.7%
9 28
 
0.5%
3 28
 
0.5%
4 17
 
0.3%
6 15
 
0.3%
Other values (14) 64
 
1.2%
Hangul
ValueCountFrequency (%)
조 1248
 
6.3%
례 1192
 
6.0%
안 1017
 
5.1%
성 877
 
4.4%
군 837
 
4.2%
곡 798
 
4.0%
정 700
 
3.5%
부 495
 
2.5%
개 490
 
2.5%
관 462
 
2.3%
Other values (356) 11789
59.2%
None
ValueCountFrequency (%)
· 20
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

제안자
Text

Distinct98
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2023-12-12T12:42:27.776848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.2078049
Min length2

Characters and Unicode

Total characters6363
Distinct characters114
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

Unique31 ?
Unique (%)3.0%

Sample

1st row곡성군수
2nd row곡성군수
3rd row곡성군수
4th row곡성군수
5th row곡성군수
ValueCountFrequency (%)
외 107
 
8.0%
5명 81
 
6.1%
의원 81
 
6.1%
기획실 70
 
5.2%
재무과 65
 
4.9%
행정과 54
 
4.0%
곡성군의회 49
 
3.7%
곡성군수(재무과 43
 
3.2%
주민복지과 37
 
2.8%
곡성군수 35
 
2.6%
Other values (90) 715
53.5%
2023-12-12T12:42:28.221556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 589
 
9.3%
군 369
 
5.8%
성 367
 
5.8%
곡 344
 
5.4%
수 319
 
5.0%
315
 
5.0%
( 259
 
4.1%
) 259
 
4.1%
의 223
 
3.5%
원 200
 
3.1%
Other values (104) 3119
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5406
85.0%
Space Separator 315
 
5.0%
Open Punctuation 259
 
4.1%
Close Punctuation 259
 
4.1%
Decimal Number 123
 
1.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 589
 
10.9%
군 369
 
6.8%
성 367
 
6.8%
곡 344
 
6.4%
수 319
 
5.9%
의 223
 
4.1%
원 200
 
3.7%
실 163
 
3.0%
정 132
 
2.4%
재 129
 
2.4%
Other values (98) 2571
47.6%
Decimal Number
ValueCountFrequency (%)
5 118
95.9%
4 5
 
4.1%
Space Separator
ValueCountFrequency (%)
315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5406
85.0%
Common 957
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 589
 
10.9%
군 369
 
6.8%
성 367
 
6.8%
곡 344
 
6.4%
수 319
 
5.9%
의 223
 
4.1%
원 200
 
3.7%
실 163
 
3.0%
정 132
 
2.4%
재 129
 
2.4%
Other values (98) 2571
47.6%
Common
ValueCountFrequency (%)
315
32.9%
( 259
27.1%
) 259
27.1%
5 118
 
12.3%
4 5
 
0.5%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5406
85.0%
ASCII 957
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 589
 
10.9%
군 369
 
6.8%
성 367
 
6.8%
곡 344
 
6.4%
수 319
 
5.9%
의 223
 
4.1%
원 200
 
3.7%
실 163
 
3.0%
정 132
 
2.4%
재 129
 
2.4%
Other values (98) 2571
47.6%
ASCII
ValueCountFrequency (%)
315
32.9%
( 259
27.1%
) 259
27.1%
5 118
 
12.3%
4 5
 
0.5%
, 1
 
0.1%

상정일
Date

Distinct169
Distinct (%)16.5%
Missing2
Missing (%)0.2%
Memory size8.1 KiB
Minimum2009-03-09 00:00:00
Maximum2022-12-27 00:00:00
2023-12-12T12:42:28.407065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:28.604935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처리일
Date

Distinct133
Distinct (%)13.0%
Missing2
Missing (%)0.2%
Memory size8.1 KiB
Minimum2009-03-24 00:00:00
Maximum2022-12-28 00:00:00
2023-12-12T12:42:28.753444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:28.910513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이송일
Date

MISSING 

Distinct132
Distinct (%)13.5%
Missing45
Missing (%)4.4%
Memory size8.1 KiB
Minimum2009-03-31 00:00:00
Maximum2022-12-28 00:00:00
2023-12-12T12:42:29.076949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:29.226160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처리결과
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
원안가결
953 
수정가결
 
71
<NA>
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 953
93.0%
수정가결 71
 
6.9%
<NA> 1
 
0.1%

Length

2023-12-12T12:42:29.379241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:29.510999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 953
93.0%
수정가결 71
 
6.9%
na 1
 
0.1%

Interactions

2023-12-12T12:42:24.643233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:42:29.602152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회차제안자처리결과
회차1.0000.9100.000
제안자0.9101.0000.423
처리결과0.0000.4231.000
2023-12-12T12:42:29.702793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회차처리결과
회차1.0000.030
처리결과0.0301.000

Missing values

2023-12-12T12:42:24.777010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:42:24.981100image/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.
2023-12-12T12:42:25.128439image/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

의안번호회차안건제안자상정일처리일이송일처리결과
02009-01171곡성군조례규칙등공포에관한조례일부개정조례안곡성군수2009-03-092009-03-242009-03-31원안가결
12009-02171곡성군섬진강기차마을운영에관한조례일부개정조례안곡성군수2009-03-092009-03-242009-03-31원안가결
22009-03171곡성군제증명등수수료징수조례일부개정조례안곡성군수2009-03-092009-03-242009-03-31원안가결
32009-04171곡성군한옥지원조례안곡성군수2009-03-092009-03-242009-03-31수정가결
42009-05171곡성군립노인전문병원설치및운영조례안곡성군수2009-03-092009-03-242009-03-31수정가결
52009-061712009년 공유재산괸리계획 변경안곡성군수2009-03-092009-03-242009-03-31원안가결
62009-07171곡성군옥외광고물등관리조례일부개정조례안곡성군수2009-03-092009-03-242009-03-31원안가결
72009-081712009년도 제1회 추가경정세입세출예산안곡성군수2009-03-182009-03-242009-03-31수정가결
82009-09172곡성군부동산중개업법위반자에대한 과태료부과징수조례폐지조례안곡성군수2009-05-112009-05-192009-05-26원안가결
92009-10172곡성군세조례일부개정조례안곡성군수2009-05-112009-05-192009-05-26원안가결
의안번호회차안건제안자상정일처리일이송일처리결과
10152022-84257곡성군 지역상권 상생협력 촉진에 관한 조례 전부개정조례안도시경제과2022-12-012022-12-092022-12-12원안가결
10162022-85257곡성군 도시림 등 조성 및 관리에 관한 조례 전부개정조례안산림과2022-12-012022-12-092022-12-12원안가결
10172022-86257곡성군립노인전문병원설치 및 운영 조례 전부개정조례안보건사업과2022-12-012022-12-092022-12-12수정가결
10182022-872572022년도 행정사무감사 결과보고서 채택의 건의회사무과<NA><NA><NA><NA>
10192022-88258곡성군 행정기구 설치 조례 전부개정조례안행정과2022-12-272022-12-282022-12-28원안가결
10202022-89258곡성군 지방공무원 정원 조례 일부개정조례안행정과2022-12-272022-12-282022-12-28원안가결
10212022-90258곡성군 요양보호사 처우개선 및 지위향상에 관한 조례 일부개정조례안주민복지과2022-12-272022-12-282022-12-28원안가결
10222022-91258곡성군 일반농산어촌개발사업 시설물 관리 및 운영 조례 일부개정조례안안전건설과2022-12-272022-12-282022-12-28원안가결
10232022-92258곡성군의회 사무기구설치 및 직원정원 조례 일부개정조례안조대현 외 5명 의원2022-12-272022-12-282022-12-28원안가결
10242022-93258곡성군의회 사무기구 및 사무분장 규칙 일부개정규칙안조대현 외 5명 의원2022-12-272022-12-282022-12-28원안가결