Overview

Dataset statistics

Number of variables14
Number of observations269
Missing cells141
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.6 KiB
Average record size in memory116.5 B

Variable types

Categorical9
Numeric3
Text1
DateTime1

Dataset

Description장수군 1대~9대 의안 처리 현황(년도, 건명, 발의자, 발의일, 소관, 집행부 이송일, 공포일, 공포번호 등)에 대하여 설명
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15040018/fileData.do

Alerts

연도 is highly overall correlated with 회기 and 7 other fieldsHigh correlation
처리일 is highly overall correlated with 회기 and 8 other fieldsHigh correlation
공포일 is highly overall correlated with 회기 and 7 other fieldsHigh correlation
상정일 is highly overall correlated with 회기 and 8 other fieldsHigh correlation
이송일 is highly overall correlated with 회기 and 8 other fieldsHigh correlation
보고일 is highly overall correlated with 회기 and 8 other fieldsHigh correlation
회기 is highly overall correlated with 의안번호 and 7 other fieldsHigh correlation
의안번호 is highly overall correlated with 회기 and 7 other fieldsHigh correlation
공포번호 is highly overall correlated with 회기 and 7 other fieldsHigh correlation
발의자 is highly overall correlated with 소관High correlation
소관 is highly overall correlated with 발의자 and 4 other fieldsHigh correlation
발의자 is highly imbalanced (50.6%)Imbalance
결과 is highly imbalanced (70.5%)Imbalance
공포번호 has 138 (51.3%) missing valuesMissing
의안번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:28:45.954355
Analysis finished2024-04-06 08:28:53.175706
Duration7.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023
169 
2022
92 
2024
 
8

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023 169
62.8%
2022 92
34.2%
2024 8
 
3.0%

Length

2024-04-06T17:28:53.312653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:28:53.524054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 169
62.8%
2022 92
34.2%
2024 8
 
3.0%

회기
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.03717
Minimum339
Maximum357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-06T17:28:53.738949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum339
5-th percentile341
Q1344
median350
Q3354
95-th percentile356
Maximum357
Range18
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.4381283
Coefficient of variation (CV)0.01558037
Kurtosis-1.3878404
Mean349.03717
Median Absolute Deviation (MAD)6
Skewness-0.11299434
Sum93891
Variance29.57324
MonotonicityNot monotonic
2024-04-06T17:28:54.175975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
344 47
17.5%
356 42
15.6%
353 26
9.7%
350 20
 
7.4%
347 15
 
5.6%
348 15
 
5.6%
341 14
 
5.2%
354 13
 
4.8%
355 11
 
4.1%
351 10
 
3.7%
Other values (9) 56
20.8%
ValueCountFrequency (%)
339 3
 
1.1%
340 9
 
3.3%
341 14
 
5.2%
342 10
 
3.7%
343 9
 
3.3%
344 47
17.5%
345 5
 
1.9%
346 1
 
0.4%
347 15
 
5.6%
348 15
 
5.6%
ValueCountFrequency (%)
357 8
 
3.0%
356 42
15.6%
355 11
 
4.1%
354 13
 
4.8%
353 26
9.7%
352 9
 
3.3%
351 10
 
3.7%
350 20
7.4%
349 2
 
0.7%
348 15
 
5.6%

의안번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct269
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.04833
Minimum1
Maximum271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-06T17:28:54.500629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.4
Q168
median137
Q3204
95-th percentile257.6
Maximum271
Range270
Interquartile range (IQR)136

Descriptive statistics

Standard deviation78.665036
Coefficient of variation (CV)0.57821392
Kurtosis-1.2133437
Mean136.04833
Median Absolute Deviation (MAD)68
Skewness-0.001852511
Sum36597
Variance6188.188
MonotonicityStrictly increasing
2024-04-06T17:28:54.864487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
188 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
179 1
 
0.4%
180 1
 
0.4%
181 1
 
0.4%
Other values (259) 259
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%

건명
Text

Distinct239
Distinct (%)89.2%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2024-04-06T17:28:55.489485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length35
Mean length24.992537
Min length13

Characters and Unicode

Total characters6698
Distinct characters310
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)82.5%

Sample

1st row2021회계연도 기금 결산안
2nd row2021년도 예비비지출 승인안
3rd row장수군수 및 관계공무원 출석요구의 건
4th row예산결산특별위원회 구성의 건
5th row윤리특별위원회 구성의 건
ValueCountFrequency (%)
장수군 135
 
8.9%
조례 87
 
5.7%
일부개정조례안 79
 
5.2%
및 67
 
4.4%
건 54
 
3.6%
조례안 44
 
2.9%
관한 42
 
2.8%
동의안 34
 
2.2%
운영 25
 
1.7%
지원 22
 
1.5%
Other values (436) 926
61.1%
2024-04-06T17:28:56.330927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1247
 
18.6%
조 247
 
3.7%
수 237
 
3.5%
례 236
 
3.5%
안 228
 
3.4%
장 202
 
3.0%
군 196
 
2.9%
2 169
 
2.5%
의 151
 
2.3%
정 150
 
2.2%
Other values (300) 3635
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5040
75.2%
Space Separator 1247
 
18.6%
Decimal Number 337
 
5.0%
Open Punctuation 22
 
0.3%
Close Punctuation 22
 
0.3%
Other Punctuation 20
 
0.3%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 247
 
4.9%
수 237
 
4.7%
례 236
 
4.7%
안 228
 
4.5%
장 202
 
4.0%
군 196
 
3.9%
의 151
 
3.0%
정 150
 
3.0%
관 112
 
2.2%
회 101
 
2.0%
Other values (275) 3180
63.1%
Decimal Number
ValueCountFrequency (%)
2 169
50.1%
0 69
20.5%
3 53
 
15.7%
4 20
 
5.9%
1 9
 
2.7%
5 8
 
2.4%
6 5
 
1.5%
7 2
 
0.6%
8 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
20.0%
G 1
10.0%
P 1
10.0%
L 1
10.0%
V 1
10.0%
T 1
10.0%
J 1
10.0%
O 1
10.0%
B 1
10.0%
Open Punctuation
ValueCountFrequency (%)
( 21
95.5%
「 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 21
95.5%
」 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
· 17
85.0%
? 3
 
15.0%
Space Separator
ValueCountFrequency (%)
1247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5040
75.2%
Common 1648
 
24.6%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 247
 
4.9%
수 237
 
4.7%
례 236
 
4.7%
안 228
 
4.5%
장 202
 
4.0%
군 196
 
3.9%
의 151
 
3.0%
정 150
 
3.0%
관 112
 
2.2%
회 101
 
2.0%
Other values (275) 3180
63.1%
Common
ValueCountFrequency (%)
1247
75.7%
2 169
 
10.3%
0 69
 
4.2%
3 53
 
3.2%
( 21
 
1.3%
) 21
 
1.3%
4 20
 
1.2%
· 17
 
1.0%
1 9
 
0.5%
5 8
 
0.5%
Other values (6) 14
 
0.8%
Latin
ValueCountFrequency (%)
C 2
20.0%
G 1
10.0%
P 1
10.0%
L 1
10.0%
V 1
10.0%
T 1
10.0%
J 1
10.0%
O 1
10.0%
B 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5035
75.2%
ASCII 1639
 
24.5%
None 19
 
0.3%
Compat Jamo 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1247
76.1%
2 169
 
10.3%
0 69
 
4.2%
3 53
 
3.2%
( 21
 
1.3%
) 21
 
1.3%
4 20
 
1.2%
1 9
 
0.5%
5 8
 
0.5%
6 5
 
0.3%
Other values (12) 17
 
1.0%
Hangul
ValueCountFrequency (%)
조 247
 
4.9%
수 237
 
4.7%
례 236
 
4.7%
안 228
 
4.5%
장 202
 
4.0%
군 196
 
3.9%
의 151
 
3.0%
정 150
 
3.0%
관 112
 
2.2%
회 101
 
2.0%
Other values (274) 3175
63.1%
None
ValueCountFrequency (%)
· 17
89.5%
」 1
 
5.3%
「 1
 
5.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%

발의자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
장수군수
183 
김광훈의원
 
11
장정복의원
 
10
이종섭의원
 
8
유경자의원
 
8
Other values (16)
49 

Length

Max length18
Median length4
Mean length4.8513011
Min length4

Unique

Unique5 ?
Unique (%)1.9%

Sample

1st row장수군수
2nd row장수군수
3rd row장수군수
4th row유경자의원외2
5th row유경자의원외2

Common Values

ValueCountFrequency (%)
장수군수 183
68.0%
김광훈의원 11
 
4.1%
장정복의원 10
 
3.7%
이종섭의원 8
 
3.0%
유경자의원 8
 
3.0%
김남수의원 7
 
2.6%
김남수의원외2 6
 
2.2%
최한주의원 6
 
2.2%
최한주의원외2 4
 
1.5%
김광훈의원외2 4
 
1.5%
Other values (11) 22
 
8.2%

Length

2024-04-06T17:28:56.680969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장수군수 183
67.5%
김광훈의원 11
 
4.1%
장정복의원 10
 
3.7%
이종섭의원 8
 
3.0%
유경자의원 8
 
3.0%
김남수의원 8
 
3.0%
김남수의원외2 6
 
2.2%
최한주의원 6
 
2.2%
최한주의원외2 4
 
1.5%
김광훈의원외2 4
 
1.5%
Other values (12) 23
 
8.5%

발의일
Date

Distinct84
Distinct (%)31.5%
Missing2
Missing (%)0.7%
Memory size2.2 KiB
Minimum2022-07-05 00:00:00
Maximum2024-01-24 00:00:00
2024-04-06T17:28:56.991737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:57.280950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
행정복지
133 
산업건설
59 
<NA>
41 
예산결산
25 
실태조사특위
 
6
Other values (3)
 
5

Length

Max length15
Median length4
Mean length4.1784387
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
행정복지 133
49.4%
산업건설 59
21.9%
<NA> 41
 
15.2%
예산결산 25
 
9.3%
실태조사특위 6
 
2.2%
행정사무감사특별위원회 2
 
0.7%
군정주요사업실태조사특별위원회 2
 
0.7%
행감특위 1
 
0.4%

Length

2024-04-06T17:28:57.566749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:28:57.791523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정복지 133
49.4%
산업건설 59
21.9%
na 41
 
15.2%
예산결산 25
 
9.3%
실태조사특위 6
 
2.2%
행정사무감사특별위원회 2
 
0.7%
군정주요사업실태조사특별위원회 2
 
0.7%
행감특위 1
 
0.4%

보고일
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-09-19
26 
2023-05-24
20 
2023-11-16
19 
2022-11-17
19 
2023-04-11
 
15
Other values (26)
170 

Length

Max length10
Median length10
Mean length9.9330855
Min length4

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-08-01
5th row2022-08-01

Common Values

ValueCountFrequency (%)
2023-09-19 26
 
9.7%
2023-05-24 20
 
7.4%
2023-11-16 19
 
7.1%
2022-11-17 19
 
7.1%
2023-04-11 15
 
5.6%
2023-02-28 15
 
5.6%
2023-11-27 13
 
4.8%
2022-11-28 12
 
4.5%
2023-10-31 11
 
4.1%
2022-12-16 11
 
4.1%
Other values (21) 108
40.1%

Length

2024-04-06T17:28:58.044347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-09-19 26
 
9.7%
2023-05-24 20
 
7.4%
2023-11-16 19
 
7.1%
2022-11-17 19
 
7.1%
2023-04-11 15
 
5.6%
2023-02-28 15
 
5.6%
2023-11-27 13
 
4.8%
2022-11-28 12
 
4.5%
2023-10-31 11
 
4.1%
2022-12-16 11
 
4.1%
Other values (21) 108
40.1%

상정일
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-09-19
26 
2023-11-16
21 
2023-05-24
20 
2022-11-17
19 
2023-04-11
 
15
Other values (26)
168 

Length

Max length10
Median length10
Mean length9.9776952
Min length4

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-08-01
5th row2022-08-01

Common Values

ValueCountFrequency (%)
2023-09-19 26
 
9.7%
2023-11-16 21
 
7.8%
2023-05-24 20
 
7.4%
2022-11-17 19
 
7.1%
2023-04-11 15
 
5.6%
2023-02-28 15
 
5.6%
2023-11-27 13
 
4.8%
2022-11-28 12
 
4.5%
2023-10-31 11
 
4.1%
2022-12-16 11
 
4.1%
Other values (21) 106
39.4%

Length

2024-04-06T17:28:58.287156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-09-19 26
 
9.7%
2023-11-16 21
 
7.8%
2023-05-24 20
 
7.4%
2022-11-17 19
 
7.1%
2023-04-11 15
 
5.6%
2023-02-28 15
 
5.6%
2023-11-27 13
 
4.8%
2022-11-28 12
 
4.5%
2023-10-31 11
 
4.1%
2022-12-16 11
 
4.1%
Other values (21) 106
39.4%

처리일
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-09-19
24 
2023-11-16
21 
2023-05-24
20 
2022-11-17
19 
2022-12-16
17 
Other values (26)
168 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)1.1%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-08-01
5th row2022-08-01

Common Values

ValueCountFrequency (%)
2023-09-19 24
 
8.9%
2023-11-16 21
 
7.8%
2023-05-24 20
 
7.4%
2022-11-17 19
 
7.1%
2022-12-16 17
 
6.3%
2023-02-28 15
 
5.6%
2023-04-11 13
 
4.8%
2023-11-27 11
 
4.1%
2023-10-31 11
 
4.1%
2022-10-19 10
 
3.7%
Other values (21) 108
40.1%

Length

2024-04-06T17:28:58.553442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-09-19 24
 
8.9%
2023-11-16 21
 
7.8%
2023-05-24 20
 
7.4%
2022-11-17 19
 
7.1%
2022-12-16 17
 
6.3%
2023-02-28 15
 
5.6%
2023-04-11 13
 
4.8%
2023-11-27 11
 
4.1%
2023-10-31 11
 
4.1%
2022-10-19 10
 
3.7%
Other values (21) 108
40.1%

결과
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
원안가결
255 
수정가결
 
14

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 255
94.8%
수정가결 14
 
5.2%

Length

2024-04-06T17:28:58.753402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:28:58.940843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 255
94.8%
수정가결 14
 
5.2%

이송일
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
48 
2023-09-19
20 
2023-11-16
19 
2023-05-25
18 
2022-11-17
17 
Other values (22)
147 

Length

Max length10
Median length10
Mean length8.929368
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
17.8%
2023-09-19 20
 
7.4%
2023-11-16 19
 
7.1%
2023-05-25 18
 
6.7%
2022-11-17 17
 
6.3%
2022-12-16 17
 
6.3%
2023-02-28 13
 
4.8%
2023-04-11 11
 
4.1%
2023-10-31 10
 
3.7%
2022-11-29 10
 
3.7%
Other values (17) 86
32.0%

Length

2024-04-06T17:28:59.147635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 48
17.8%
2023-09-19 20
 
7.4%
2023-11-16 19
 
7.1%
2023-05-25 18
 
6.7%
2022-11-17 17
 
6.3%
2022-12-16 17
 
6.3%
2023-02-28 13
 
4.8%
2023-04-11 11
 
4.1%
2023-10-31 10
 
3.7%
2022-11-29 10
 
3.7%
Other values (17) 86
32.0%

공포일
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
138 
2023-06-15
17 
2023-10-16
14 
2023-12-01
 
12
2022-12-01
 
12
Other values (18)
76 

Length

Max length10
Median length4
Mean length6.9219331
Min length4

Unique

Unique5 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 138
51.3%
2023-06-15 17
 
6.3%
2023-10-16 14
 
5.2%
2023-12-01 12
 
4.5%
2022-12-01 12
 
4.5%
2023-03-15 9
 
3.3%
2023-12-15 8
 
3.0%
2023-05-01 8
 
3.0%
2022-12-15 7
 
2.6%
2023-08-01 6
 
2.2%
Other values (13) 38
 
14.1%

Length

2024-04-06T17:28:59.419245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 138
51.3%
2023-06-15 17
 
6.3%
2023-10-16 14
 
5.2%
2023-12-01 12
 
4.5%
2022-12-01 12
 
4.5%
2023-03-15 9
 
3.3%
2023-12-15 8
 
3.0%
2023-05-01 8
 
3.0%
2022-12-15 7
 
2.6%
2023-11-01 6
 
2.2%
Other values (13) 38
 
14.1%

공포번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct130
Distinct (%)99.2%
Missing138
Missing (%)51.3%
Infinite0
Infinite (%)0.0%
Mean2615.2137
Minimum13
Maximum2955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-06T17:28:59.680476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile2611.5
Q12637.5
median2672
Q32704.5
95-th percentile2730.5
Maximum2955
Range2942
Interquartile range (IQR)67

Descriptive statistics

Standard deviation402.98465
Coefficient of variation (CV)0.15409244
Kurtosis38.9147
Mean2615.2137
Median Absolute Deviation (MAD)34
Skewness-6.2895034
Sum342593
Variance162396.63
MonotonicityNot monotonic
2024-04-06T17:29:00.017474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 2
 
0.7%
2691 1
 
0.4%
2703 1
 
0.4%
2702 1
 
0.4%
2701 1
 
0.4%
2700 1
 
0.4%
2698 1
 
0.4%
2697 1
 
0.4%
2689 1
 
0.4%
2696 1
 
0.4%
Other values (120) 120
44.6%
(Missing) 138
51.3%
ValueCountFrequency (%)
13 2
0.7%
15 1
0.4%
2608 1
0.4%
2609 1
0.4%
2610 1
0.4%
2611 1
0.4%
2612 1
0.4%
2613 1
0.4%
2614 1
0.4%
2615 1
0.4%
ValueCountFrequency (%)
2955 1
0.4%
2954 1
0.4%
2735 1
0.4%
2734 1
0.4%
2733 1
0.4%
2732 1
0.4%
2731 1
0.4%
2730 1
0.4%
2729 1
0.4%
2728 1
0.4%

Interactions

2024-04-06T17:28:50.913656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:49.410568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:50.283171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:51.283177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:49.722054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:50.522138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:51.491541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:50.027069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:28:50.692258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:29:00.240696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도회기의안번호발의자발의일소관보고일상정일처리일결과이송일공포일공포번호
연도1.0000.8310.8390.3551.0000.0551.0001.0001.0000.0001.0001.0000.518
회기0.8311.0000.9720.6521.0000.4621.0001.0001.0000.0001.0001.0000.925
의안번호0.8390.9721.0000.4680.9940.3540.9920.9910.9760.0000.9760.9730.775
발의자0.3550.6520.4681.0000.9800.9160.8370.8380.8490.0000.6500.6370.419
발의일1.0001.0000.9940.9801.0000.9160.9980.9980.9990.3760.9990.9890.910
소관0.0550.4620.3540.9160.9161.0000.8780.8780.8950.2070.9230.3940.000
보고일1.0001.0000.9920.8370.9980.8781.0001.0000.9980.0000.9961.0000.828
상정일1.0001.0000.9910.8380.9980.8781.0001.0000.9980.0000.9961.0000.828
처리일1.0001.0000.9760.8490.9990.8950.9980.9981.0000.0001.0001.0000.828
결과0.0000.0000.0000.0000.3760.2070.0000.0000.0001.0000.0090.0000.000
이송일1.0001.0000.9760.6500.9990.9230.9960.9961.0000.0091.0001.0000.828
공포일1.0001.0000.9730.6370.9890.3941.0001.0001.0000.0001.0001.0000.985
공포번호0.5180.9250.7750.4190.9100.0000.8280.8280.8280.0000.8280.9851.000
2024-04-06T17:29:00.506171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도처리일공포일상정일결과소관이송일발의자보고일
연도1.0000.9460.9190.9480.0000.0340.9460.1680.947
처리일0.9461.0000.9780.9460.0000.5560.9960.3810.946
공포일0.9190.9781.0000.9780.0000.2850.9780.3010.978
상정일0.9480.9460.9781.0000.0000.5260.9330.3691.000
결과0.0000.0000.0000.0001.0000.2180.0000.0000.000
소관0.0340.5560.2850.5260.2181.0000.7220.7340.526
이송일0.9460.9960.9780.9330.0000.7221.0000.2770.933
발의자0.1680.3810.3010.3690.0000.7340.2771.0000.368
보고일0.9470.9460.9781.0000.0000.5260.9330.3681.000
2024-04-06T17:29:00.792312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회기의안번호공포번호연도발의자소관보고일상정일처리일결과이송일공포일
회기1.0000.9940.9060.7280.3090.2530.9600.9600.9560.0000.9590.945
의안번호0.9941.0000.9100.7410.1860.1850.8120.8080.8020.0000.8240.815
공포번호0.9060.9101.0000.7790.2880.0000.6320.6320.6320.0000.6320.892
연도0.7280.7410.7791.0000.1680.0340.9470.9480.9460.0000.9460.919
발의자0.3090.1860.2880.1681.0000.7340.3680.3690.3810.0000.2770.301
소관0.2530.1850.0000.0340.7341.0000.5260.5260.5560.2180.7220.285
보고일0.9600.8120.6320.9470.3680.5261.0001.0000.9460.0000.9330.978
상정일0.9600.8080.6320.9480.3690.5261.0001.0000.9460.0000.9330.978
처리일0.9560.8020.6320.9460.3810.5560.9460.9461.0000.0000.9960.978
결과0.0000.0000.0000.0000.0000.2180.0000.0000.0001.0000.0000.000
이송일0.9590.8240.6320.9460.2770.7220.9330.9330.9960.0001.0000.978
공포일0.9450.8150.8920.9190.3010.2850.9780.9780.9780.0000.9781.000

Missing values

2024-04-06T17:28:51.903617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:28:52.322425image/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.
2024-04-06T17:28:52.972182image/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

연도회기의안번호건명발의자발의일소관보고일상정일처리일결과이송일공포일공포번호
020223411<NA>장수군수2022-07-05예산결산2022-09-302022-09-302022-09-30원안가결2022-09-30<NA><NA>
1202234122021회계연도 기금 결산안장수군수2022-07-05예산결산2022-09-302022-09-302022-09-30원안가결2022-09-30<NA><NA>
2202234132021년도 예비비지출 승인안장수군수2022-07-05예산결산2022-09-302022-09-302022-09-30원안가결2022-09-30<NA><NA>
320223394장수군수 및 관계공무원 출석요구의 건유경자의원외22022-07-25<NA>2022-08-012022-08-012022-08-01원안가결<NA><NA><NA>
420223395예산결산특별위원회 구성의 건유경자의원외22022-07-26<NA>2022-08-012022-08-012022-08-01원안가결<NA><NA><NA>
520223396윤리특별위원회 구성의 건유경자의원외22022-07-26<NA>2022-08-012022-08-012022-08-01원안가결<NA><NA><NA>
620223407장수군수 및 관계공무원 출석요구의 건김남수의원외22022-08-25<NA>2022-08-312022-08-312022-08-31원안가결<NA><NA><NA>
720223408장수군 금고지정 및 운영에 관한 조례 일부개정조례안장수군수2022-08-22행정복지2022-08-312022-08-312022-08-31원안가결2022-08-312022-09-082608
820223409장수군 군립공공도서관 관리 운영 조례 일부개정조례안장수군수2022-08-22행정복지2022-08-312022-08-312022-08-31원안가결2022-08-312022-09-082609
9202234010장수군 병역명문가 예우에 관한 조례안장수군수2022-08-22산업건설2022-08-312022-08-312022-08-31원안가결2022-08-312022-09-082610
연도회기의안번호건명발의자발의일소관보고일상정일처리일결과이송일공포일공포번호
2592023356262장수 군관리계획(용도지구) 결정(변경)(안) 의회의견청취의 건장수군수2023-12-07산업건설2023-12-152023-12-152023-12-15원안가결2023-12-15<NA><NA>
2602023356263장수 군관리계획(용도지역) 결정(변경)(안) 의회의견청취의 건장수군수2023-12-07산업건설2023-12-152023-12-152023-12-15원안가결2023-12-15<NA><NA>
2612024357264장수군 지역정보화 조례 전부개정조례안장수군수2024-01-23행정복지2024-02-012024-02-012024-02-01원안가결2024-02-01<NA><NA>
2622024357265장수군 여비 조례 일부개정조례안장수군수2024-01-23행정복지2024-02-012024-02-012024-02-01원안가결2024-02-01<NA><NA>
2632024357266장수군 보건의료원(보건지소)수가 및 구급차 운영 조례 일부개정조례안장수군수2024-01-23행정복지2024-02-012024-02-012024-02-01수정가결2024-02-01<NA><NA>
2642024357267장수군 고문변호사 조례 일부개정조례안장수군수2024-01-23행정복지2024-02-012024-02-012024-02-01원안가결2024-02-01<NA><NA>
2652024357268장수군 장애인·보호자의 알 권리와 정보격차 해소를 위한 조례안장정복의원2024-01-18행정복지2024-02-012024-02-012024-02-01원안가결2024-02-01<NA><NA>
2662024357269장수군 심폐소생을 위한 응급의료 지원에 관한 조례안김남수의원2024-01-18행정복지2024-02-012024-02-012024-02-01원안가결2024-02-01<NA><NA>
2672024357270장수군의회 주민조례발안에 관한 조례 전부개정조례안이종섭의원2024-01-18행정복지2024-02-012024-02-012024-02-01원안가결2024-02-01<NA><NA>
2682024357271장수군수 및 관계공무원 등 출석요구의 건유경자의원2024-01-24<NA>2024-02-012024-02-012024-02-01원안가결<NA><NA><NA>