Overview

Dataset statistics

Number of variables7
Number of observations2682
Missing cells4
Missing cells (%)< 0.1%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory152.0 KiB
Average record size in memory58.0 B

Variable types

Categorical1
Numeric2
Text2
DateTime2

Dataset

Description경기도 평택시 지방의회의안에 대한 정보로 기관명, 대수, 의안번호, 의안명, 발의일, 발의자, 데이터기준일 등의 데이터를 제공합니다.
Author경기도 평택시
URLhttps://www.data.go.kr/data/15039656/fileData.do

Alerts

기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-14 09:26:51.225130
Analysis finished2024-03-14 09:26:53.404253
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
평택시의회
2682 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평택시의회 2682
100.0%

Length

2024-03-14T18:26:53.812211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:26:54.102620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평택시의회 2682
100.0%

대수
Real number (ℝ)

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9235645
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.7 KiB
2024-03-14T18:26:54.368563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median7
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7021095
Coefficient of variation (CV)0.24584294
Kurtosis0.65988937
Mean6.9235645
Median Absolute Deviation (MAD)1
Skewness-1.038734
Sum18569
Variance2.8971767
MonotonicityIncreasing
2024-03-14T18:26:54.744732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 953
35.5%
7 503
18.8%
5 409
15.2%
9 360
 
13.4%
6 275
 
10.3%
3 80
 
3.0%
2 75
 
2.8%
4 24
 
0.9%
1 3
 
0.1%
ValueCountFrequency (%)
1 3
 
0.1%
2 75
 
2.8%
3 80
 
3.0%
4 24
 
0.9%
5 409
15.2%
6 275
 
10.3%
7 503
18.8%
8 953
35.5%
9 360
 
13.4%
ValueCountFrequency (%)
9 360
 
13.4%
8 953
35.5%
7 503
18.8%
6 275
 
10.3%
5 409
15.2%
4 24
 
0.9%
3 80
 
3.0%
2 75
 
2.8%
1 3
 
0.1%

의안번호
Real number (ℝ)

Distinct2506
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8543.9116
Minimum730
Maximum40054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.7 KiB
2024-03-14T18:26:55.158528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum730
5-th percentile6077
Q16572.25
median7176.5
Q37846.75
95-th percentile20146.95
Maximum40054
Range39324
Interquartile range (IQR)1274.5

Descriptive statistics

Standard deviation5377.3008
Coefficient of variation (CV)0.62937224
Kurtosis15.923215
Mean8543.9116
Median Absolute Deviation (MAD)637.5
Skewness3.979791
Sum22914771
Variance28915364
MonotonicityNot monotonic
2024-03-14T18:26:55.615868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6118 3
 
0.1%
6238 3
 
0.1%
6115 3
 
0.1%
6042 2
 
0.1%
6037 2
 
0.1%
6036 2
 
0.1%
6035 2
 
0.1%
6034 2
 
0.1%
6033 2
 
0.1%
6069 2
 
0.1%
Other values (2496) 2659
99.1%
ValueCountFrequency (%)
730 1
< 0.1%
5103 1
< 0.1%
5987 1
< 0.1%
5988 1
< 0.1%
5989 1
< 0.1%
5990 1
< 0.1%
5991 1
< 0.1%
5992 1
< 0.1%
5993 1
< 0.1%
5994 1
< 0.1%
ValueCountFrequency (%)
40054 1
< 0.1%
40042 1
< 0.1%
40041 1
< 0.1%
40040 1
< 0.1%
40039 1
< 0.1%
40035 1
< 0.1%
40034 1
< 0.1%
40033 1
< 0.1%
40032 1
< 0.1%
40030 1
< 0.1%
Distinct2064
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-03-14T18:26:56.760816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length55
Mean length26.097315
Min length9

Characters and Unicode

Total characters69993
Distinct characters488
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1837 ?
Unique (%)68.5%

Sample

1st row평택시의회회의규칙안
2nd row평택시의회위원회조례안
3rd row평택시지방공무원정원조례중개정조례안
4th row평택시행정기구설치조례중개정조례안
5th row평택시주민등록사무의읍면동위임조례중개정조례안
ValueCountFrequency (%)
평택시 1606
 
10.5%
일부개정조례안 876
 
5.7%
조례 869
 
5.7%
828
 
5.4%
관한 584
 
3.8%
조례안 552
 
3.6%
377
 
2.5%
설치 219
 
1.4%
운영 208
 
1.4%
지원에 153
 
1.0%
Other values (2604) 9040
59.0%
2024-03-14T18:26:58.416547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12678
 
18.1%
3217
 
4.6%
3104
 
4.4%
2600
 
3.7%
2429
 
3.5%
2231
 
3.2%
2186
 
3.1%
1916
 
2.7%
1364
 
1.9%
1359
 
1.9%
Other values (478) 36909
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55298
79.0%
Space Separator 12678
 
18.1%
Decimal Number 1449
 
2.1%
Open Punctuation 207
 
0.3%
Close Punctuation 207
 
0.3%
Other Punctuation 95
 
0.1%
Uppercase Letter 32
 
< 0.1%
Dash Punctuation 15
 
< 0.1%
Math Symbol 6
 
< 0.1%
Initial Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3217
 
5.8%
3104
 
5.6%
2600
 
4.7%
2429
 
4.4%
2231
 
4.0%
2186
 
4.0%
1916
 
3.5%
1364
 
2.5%
1359
 
2.5%
1288
 
2.3%
Other values (431) 33604
60.8%
Uppercase Letter
ValueCountFrequency (%)
S 7
21.9%
T 3
9.4%
A 3
9.4%
B 3
9.4%
N 3
9.4%
L 3
9.4%
X 2
 
6.2%
P 2
 
6.2%
C 2
 
6.2%
G 1
 
3.1%
Other values (3) 3
9.4%
Decimal Number
ValueCountFrequency (%)
2 491
33.9%
0 388
26.8%
1 242
16.7%
3 88
 
6.1%
9 53
 
3.7%
6 43
 
3.0%
4 42
 
2.9%
5 36
 
2.5%
7 35
 
2.4%
8 31
 
2.1%
Other Punctuation
ValueCountFrequency (%)
· 57
60.0%
. 16
 
16.8%
, 14
 
14.7%
: 4
 
4.2%
/ 2
 
2.1%
" 2
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 197
95.2%
5
 
2.4%
3
 
1.4%
1
 
0.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 197
95.2%
5
 
2.4%
3
 
1.4%
1
 
0.5%
] 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
1
 
16.7%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Final Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
12678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55297
79.0%
Common 14663
 
20.9%
Latin 32
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3217
 
5.8%
3104
 
5.6%
2600
 
4.7%
2429
 
4.4%
2231
 
4.0%
2186
 
4.0%
1916
 
3.5%
1364
 
2.5%
1359
 
2.5%
1288
 
2.3%
Other values (430) 33603
60.8%
Common
ValueCountFrequency (%)
12678
86.5%
2 491
 
3.3%
0 388
 
2.6%
1 242
 
1.7%
( 197
 
1.3%
) 197
 
1.3%
3 88
 
0.6%
· 57
 
0.4%
9 53
 
0.4%
6 43
 
0.3%
Other values (24) 229
 
1.6%
Latin
ValueCountFrequency (%)
S 7
21.9%
T 3
9.4%
A 3
9.4%
B 3
9.4%
N 3
9.4%
L 3
9.4%
X 2
 
6.2%
P 2
 
6.2%
C 2
 
6.2%
G 1
 
3.1%
Other values (3) 3
9.4%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55276
79.0%
ASCII 14613
 
20.9%
None 75
 
0.1%
Compat Jamo 21
 
< 0.1%
Punctuation 6
 
< 0.1%
CJK 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12678
86.8%
2 491
 
3.4%
0 388
 
2.7%
1 242
 
1.7%
( 197
 
1.3%
) 197
 
1.3%
3 88
 
0.6%
9 53
 
0.4%
6 43
 
0.3%
4 42
 
0.3%
Other values (25) 194
 
1.3%
Hangul
ValueCountFrequency (%)
3217
 
5.8%
3104
 
5.6%
2600
 
4.7%
2429
 
4.4%
2231
 
4.0%
2186
 
4.0%
1916
 
3.5%
1364
 
2.5%
1359
 
2.5%
1288
 
2.3%
Other values (429) 33582
60.8%
None
ValueCountFrequency (%)
· 57
76.0%
5
 
6.7%
5
 
6.7%
3
 
4.0%
3
 
4.0%
1
 
1.3%
1
 
1.3%
Compat Jamo
ValueCountFrequency (%)
21
100.0%
Punctuation
ValueCountFrequency (%)
2
33.3%
2
33.3%
1
16.7%
1
16.7%
CJK
ValueCountFrequency (%)
1
100.0%
Arrows
ValueCountFrequency (%)
1
100.0%
Distinct419
Distinct (%)15.6%
Missing4
Missing (%)0.1%
Memory size21.1 KiB
Minimum1995-05-10 00:00:00
Maximum2024-01-29 00:00:00
2024-03-14T18:26:58.822333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:26:59.243105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct399
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
2024-03-14T18:27:00.214384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length4
Mean length5.7568978
Min length2

Characters and Unicode

Total characters15440
Distinct characters161
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

Unique233 ?
Unique (%)8.7%

Sample

1st row이남수외4인
2nd row시장
3rd row시장
4th row시장
5th row시장
ValueCountFrequency (%)
평택시장 1620
36.4%
558
 
12.5%
의원 554
 
12.4%
시장 164
 
3.7%
16명 87
 
2.0%
운영위원장 72
 
1.6%
강정구 67
 
1.5%
9명 58
 
1.3%
8명 55
 
1.2%
7명 50
 
1.1%
Other values (202) 1170
26.3%
2024-03-14T18:27:01.636020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1920
12.4%
1819
11.8%
1781
11.5%
1655
10.7%
1655
10.7%
834
 
5.4%
736
 
4.8%
631
 
4.1%
552
 
3.6%
1 328
 
2.1%
Other values (151) 3529
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12712
82.3%
Space Separator 1781
 
11.5%
Decimal Number 931
 
6.0%
Other Punctuation 8
 
0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1920
15.1%
1819
14.3%
1655
13.0%
1655
13.0%
834
 
6.6%
736
 
5.8%
631
 
5.0%
552
 
4.3%
293
 
2.3%
182
 
1.4%
Other values (137) 2435
19.2%
Decimal Number
ValueCountFrequency (%)
1 328
35.2%
6 153
16.4%
8 81
 
8.7%
7 77
 
8.3%
5 67
 
7.2%
9 63
 
6.8%
4 52
 
5.6%
0 47
 
5.0%
2 32
 
3.4%
3 31
 
3.3%
Space Separator
ValueCountFrequency (%)
1781
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12712
82.3%
Common 2728
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1920
15.1%
1819
14.3%
1655
13.0%
1655
13.0%
834
 
6.6%
736
 
5.8%
631
 
5.0%
552
 
4.3%
293
 
2.3%
182
 
1.4%
Other values (137) 2435
19.2%
Common
ValueCountFrequency (%)
1781
65.3%
1 328
 
12.0%
6 153
 
5.6%
8 81
 
3.0%
7 77
 
2.8%
5 67
 
2.5%
9 63
 
2.3%
4 52
 
1.9%
0 47
 
1.7%
2 32
 
1.2%
Other values (4) 47
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12712
82.3%
ASCII 2728
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1920
15.1%
1819
14.3%
1655
13.0%
1655
13.0%
834
 
6.6%
736
 
5.8%
631
 
5.0%
552
 
4.3%
293
 
2.3%
182
 
1.4%
Other values (137) 2435
19.2%
ASCII
ValueCountFrequency (%)
1781
65.3%
1 328
 
12.0%
6 153
 
5.6%
8 81
 
3.0%
7 77
 
2.8%
5 67
 
2.5%
9 63
 
2.3%
4 52
 
1.9%
0 47
 
1.7%
2 32
 
1.2%
Other values (4) 47
 
1.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
Minimum2024-02-16 00:00:00
Maximum2024-02-16 00:00:00
2024-03-14T18:27:01.833500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:27:02.037468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T18:26:52.420355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:26:51.887184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:26:52.609447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:26:52.183632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:27:02.244218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호
대수1.0000.952
의안번호0.9521.000
2024-03-14T18:27:02.465723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호
대수1.0000.056
의안번호0.0561.000

Missing values

2024-03-14T18:26:52.868038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:26:53.251343image/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

기관명대수의안번호의안명발의일발의자데이터기준일
0평택시의회110160평택시의회회의규칙안1995-05-10이남수외4인2024-02-16
1평택시의회110002평택시의회위원회조례안1995-05-10시장2024-02-16
2평택시의회110163평택시지방공무원정원조례중개정조례안1995-05-10시장2024-02-16
3평택시의회220066평택시행정기구설치조례중개정조례안1996-03-19시장2024-02-16
4평택시의회220072평택시주민등록사무의읍면동위임조례중개정조례안1996-03-22시장2024-02-16
5평택시의회220074평택시소송수행자포상금지급조례중개정조례안1996-06-04시장2024-02-16
6평택시의회220075평택시사무위임조례중개정조례안1996-06-04시장2024-02-16
7평택시의회220077평택시지방고용직공무원임용등에관한조례중개정조례안1996-06-04시장2024-02-16
8평택시의회220076평택시지방공무원정원조례중개정조례안1996-06-04시장2024-02-16
9평택시의회220093평택시노인복지회관설치및운영조례안1996-10-02시장2024-02-16
기관명대수의안번호의안명발의일발의자데이터기준일
2672평택시의회98032평택시 사무의 민간위탁 조례 전부개정조례안2024-01-18김명숙 의원 등 13명2024-02-16
2673평택시의회98033평택시 교복 지원 조례 전부개정조례안2024-01-18김산수 의원 등 13명2024-02-16
2674평택시의회98034평택시 공유재산 관리 조례 일부개정조례안2024-01-18최재영 의원 등 12명2024-02-16
2675평택시의회98035평택문화원 지원 및 육성에 관한 조례 일부개정조례안2024-01-18김혜영 의원 등 12명2024-02-16
2676평택시의회98036평택시 주한미군 주둔 등으로 인한 피해지역 및 피해주민 지원 조례 일부개정조례안2024-01-18이종원 의원 등 13명2024-02-16
2677평택시의회98037평택시 국가보훈대상자 등 예우 및 지원에 관한 조례 일부개정조례안2024-01-18김산수 의원 등 13명2024-02-16
2678평택시의회98038평택시 장애인친화도시 조성에 관한 조례안2024-01-18최선자 의원 등 13명2024-02-16
2679평택시의회98039평택시 중증장애인 자립생활 지원 조례 일부개정조례안2024-01-18김승겸 의원 등 13명2024-02-16
2680평택시의회98040평택시 보건소 지역보건의료사업의 업무대행에 관한 조례 일부개정조례안2024-01-18김순이 의원 등 13명2024-02-16
2681평택시의회98041평택시 어르신 무상교통 지원에 관한 조례안2024-01-18정일구 의원 등 13명2024-02-16

Duplicate rows

Most frequently occurring

기관명대수의안번호의안명발의일발의자데이터기준일# duplicates
0평택시의회76243평택시 통리장 자녀장학금지급조례 일부개정조례안2014-07-15평택시장2024-02-162
1평택시의회762462014년도 제3차 수시분 공유재산관리계획안2014-07-15평택시장2024-02-162
2평택시의회76249평택시 모유수유 지원에 관한 조례안2014-07-15평택시장2024-02-162