Overview

Dataset statistics

Number of variables10
Number of observations4344
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory348.0 KiB
Average record size in memory82.0 B

Variable types

Numeric1
Categorical4
Text4
DateTime1

Dataset

Description경상남도 밀양시 2020년 지출현황
Author경상남도 밀양시
URLhttps://www.data.go.kr/data/15072478/fileData.do

Alerts

회계년도 has constant value ""Constant
번호 is highly overall correlated with 부서명High correlation
부서명 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
경비구분 is highly overall correlated with 부서명High correlation
회계구분 is highly imbalanced (96.9%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:56:27.411440
Analysis finished2023-12-12 15:56:29.360769
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct4344
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2172.5
Minimum1
Maximum4344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.3 KiB
2023-12-13T00:56:29.472241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile218.15
Q11086.75
median2172.5
Q33258.25
95-th percentile4126.85
Maximum4344
Range4343
Interquartile range (IQR)2171.5

Descriptive statistics

Standard deviation1254.1491
Coefficient of variation (CV)0.57728383
Kurtosis-1.2
Mean2172.5
Median Absolute Deviation (MAD)1086
Skewness0
Sum9437340
Variance1572890
MonotonicityStrictly increasing
2023-12-13T00:56:29.692271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2903 1
 
< 0.1%
2889 1
 
< 0.1%
2890 1
 
< 0.1%
2891 1
 
< 0.1%
2892 1
 
< 0.1%
2893 1
 
< 0.1%
2894 1
 
< 0.1%
2895 1
 
< 0.1%
2896 1
 
< 0.1%
Other values (4334) 4334
99.8%
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 (%)
4344 1
< 0.1%
4343 1
< 0.1%
4342 1
< 0.1%
4341 1
< 0.1%
4340 1
< 0.1%
4339 1
< 0.1%
4338 1
< 0.1%
4337 1
< 0.1%
4336 1
< 0.1%
4335 1
< 0.1%

회계년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
2020
4344 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 4344
100.0%

Length

2023-12-13T00:56:29.893637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:56:30.027725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 4344
100.0%

회계구분
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
일반회계
4307 
의료급여기금
 
17
수질개선관리
 
12
재난관리기금
 
5
농업발전기금
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.017035
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반회계 4307
99.1%
의료급여기금 17
 
0.4%
수질개선관리 12
 
0.3%
재난관리기금 5
 
0.1%
농업발전기금 1
 
< 0.1%
식품진흥기금 1
 
< 0.1%
체육진흥기금 1
 
< 0.1%

Length

2023-12-13T00:56:30.200881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:56:30.355487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계 4307
99.1%
의료급여기금 17
 
0.4%
수질개선관리 12
 
0.3%
재난관리기금 5
 
0.1%
농업발전기금 1
 
< 0.1%
식품진흥기금 1
 
< 0.1%
체육진흥기금 1
 
< 0.1%

부서명
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
사회복지과
387 
건설과
326 
주민생활지원과
302 
행정과
 
243
건강증진과
 
216
Other values (42)
2870 

Length

Max length7
Median length6
Mean length4.6367403
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지과 387
 
8.9%
건설과 326
 
7.5%
주민생활지원과 302
 
7.0%
행정과 243
 
5.6%
건강증진과 216
 
5.0%
안전재난관리과 200
 
4.6%
문화예술과 181
 
4.2%
보건위생과 176
 
4.1%
환경관리과 166
 
3.8%
도시재생과 146
 
3.4%
Other values (37) 2001
46.1%

Length

2023-12-13T00:56:30.516620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회복지과 387
 
8.9%
건설과 326
 
7.5%
주민생활지원과 302
 
7.0%
행정과 243
 
5.6%
건강증진과 216
 
5.0%
안전재난관리과 200
 
4.6%
문화예술과 181
 
4.2%
보건위생과 176
 
4.1%
환경관리과 166
 
3.8%
도시재생과 146
 
3.4%
Other values (37) 2001
46.1%

경비구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
일반지출
2583 
일상경비
1761 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반지출 2583
59.5%
일상경비 1761
40.5%

Length

2023-12-13T00:56:30.696939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:56:30.831915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반지출 2583
59.5%
일상경비 1761
40.5%

세부사업명
Text

Distinct781
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
2023-12-13T00:56:31.098192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length8.1256906
Min length3

Characters and Unicode

Total characters35298
Distinct characters431
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique387 ?
Unique (%)8.9%

Sample

1st row지역 특화 스포츠관광 산업 육성
2nd row지역 특화 스포츠관광 산업 육성
3rd row지역 특화 스포츠관광 산업 육성
4th row미래전략
5th row미래전략
ValueCountFrequency (%)
기본경비 619
 
8.6%
주민행정 341
 
4.7%
운영 295
 
4.1%
및 256
 
3.6%
지원 217
 
3.0%
관리 107
 
1.5%
유지관리 105
 
1.5%
수리시설관리 87
 
1.2%
인력운영비 87
 
1.2%
긴급복지 86
 
1.2%
Other values (1160) 4982
69.4%
2023-12-13T00:56:31.518870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2838
 
8.0%
지 1286
 
3.6%
관 1043
 
3.0%
리 1025
 
2.9%
비 1010
 
2.9%
정 861
 
2.4%
기 800
 
2.3%
경 796
 
2.3%
영 756
 
2.1%
운 730
 
2.1%
Other values (421) 24153
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31379
88.9%
Space Separator 2838
 
8.0%
Close Punctuation 430
 
1.2%
Open Punctuation 430
 
1.2%
Decimal Number 78
 
0.2%
Uppercase Letter 60
 
0.2%
Other Punctuation 51
 
0.1%
Math Symbol 18
 
0.1%
Dash Punctuation 10
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1286
 
4.1%
관 1043
 
3.3%
리 1025
 
3.3%
비 1010
 
3.2%
정 861
 
2.7%
기 800
 
2.5%
경 796
 
2.5%
영 756
 
2.4%
운 730
 
2.3%
원 688
 
2.2%
Other values (390) 22384
71.3%
Uppercase Letter
ValueCountFrequency (%)
C 16
26.7%
T 9
15.0%
V 8
13.3%
A 6
 
10.0%
I 5
 
8.3%
P 4
 
6.7%
H 4
 
6.7%
G 3
 
5.0%
S 3
 
5.0%
F 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
4 26
33.3%
1 23
29.5%
9 19
24.4%
3 3
 
3.8%
6 2
 
2.6%
5 2
 
2.6%
8 1
 
1.3%
0 1
 
1.3%
2 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
· 27
52.9%
, 17
33.3%
. 7
 
13.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
2838
100.0%
Close Punctuation
ValueCountFrequency (%)
) 430
100.0%
Open Punctuation
ValueCountFrequency (%)
( 430
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31379
88.9%
Common 3855
 
10.9%
Latin 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1286
 
4.1%
관 1043
 
3.3%
리 1025
 
3.3%
비 1010
 
3.2%
정 861
 
2.7%
기 800
 
2.5%
경 796
 
2.5%
영 756
 
2.4%
운 730
 
2.3%
원 688
 
2.2%
Other values (390) 22384
71.3%
Common
ValueCountFrequency (%)
2838
73.6%
) 430
 
11.2%
( 430
 
11.2%
· 27
 
0.7%
4 26
 
0.7%
1 23
 
0.6%
9 19
 
0.5%
~ 18
 
0.5%
, 17
 
0.4%
- 10
 
0.3%
Other values (7) 17
 
0.4%
Latin
ValueCountFrequency (%)
C 16
25.0%
T 9
14.1%
V 8
12.5%
A 6
 
9.4%
I 5
 
7.8%
P 4
 
6.2%
H 4
 
6.2%
G 3
 
4.7%
S 3
 
4.7%
e 2
 
3.1%
Other values (4) 4
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31379
88.9%
ASCII 3890
 
11.0%
None 27
 
0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2838
73.0%
) 430
 
11.1%
( 430
 
11.1%
4 26
 
0.7%
1 23
 
0.6%
9 19
 
0.5%
~ 18
 
0.5%
, 17
 
0.4%
C 16
 
0.4%
- 10
 
0.3%
Other values (18) 63
 
1.6%
Hangul
ValueCountFrequency (%)
지 1286
 
4.1%
관 1043
 
3.3%
리 1025
 
3.3%
비 1010
 
3.2%
정 861
 
2.7%
기 800
 
2.5%
경 796
 
2.5%
영 756
 
2.4%
운 730
 
2.3%
원 688
 
2.2%
Other values (390) 22384
71.3%
None
ValueCountFrequency (%)
· 27
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

통계목
Text

Distinct73
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
2023-12-13T00:56:31.743252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.9491252
Min length2

Characters and Unicode

Total characters25843
Distinct characters111
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 (%)0.3%

Sample

1st row공공운영비
2nd row공공운영비
3rd row사무관리비
4th row국내여비
5th row시책추진업무추진비
ValueCountFrequency (%)
사무관리비 929
21.4%
공공운영비 887
20.4%
시설비 618
14.2%
사회보장적수혜금 268
 
6.2%
사회복지사업보조 116
 
2.7%
국내여비 111
 
2.6%
시책추진업무추진비 109
 
2.5%
무기계약근로자보수 103
 
2.4%
기관운영업무추진비 101
 
2.3%
기간제근로자등보수 101
 
2.3%
Other values (64) 1005
23.1%
2023-12-13T00:56:32.182617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 3327
 
12.9%
공 1855
 
7.2%
사 1749
 
6.8%
무 1373
 
5.3%
운 1193
 
4.6%
영 1160
 
4.5%
관 1083
 
4.2%
보 1010
 
3.9%
리 939
 
3.6%
시 781
 
3.0%
Other values (101) 11373
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25779
99.8%
Open Punctuation 30
 
0.1%
Close Punctuation 30
 
0.1%
Space Separator 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 3327
 
12.9%
공 1855
 
7.2%
사 1749
 
6.8%
무 1373
 
5.3%
운 1193
 
4.6%
영 1160
 
4.5%
관 1083
 
4.2%
보 1010
 
3.9%
리 939
 
3.6%
시 781
 
3.0%
Other values (98) 11309
43.9%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25779
99.8%
Common 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 3327
 
12.9%
공 1855
 
7.2%
사 1749
 
6.8%
무 1373
 
5.3%
운 1193
 
4.6%
영 1160
 
4.5%
관 1083
 
4.2%
보 1010
 
3.9%
리 939
 
3.6%
시 781
 
3.0%
Other values (98) 11309
43.9%
Common
ValueCountFrequency (%)
( 30
46.9%
) 30
46.9%
4
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25679
99.4%
Compat Jamo 100
 
0.4%
ASCII 64
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 3327
 
13.0%
공 1855
 
7.2%
사 1749
 
6.8%
무 1373
 
5.3%
운 1193
 
4.6%
영 1160
 
4.5%
관 1083
 
4.2%
보 1010
 
3.9%
리 939
 
3.7%
시 781
 
3.0%
Other values (97) 11209
43.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 100
100.0%
ASCII
ValueCountFrequency (%)
( 30
46.9%
) 30
46.9%
4
 
6.2%

적요
Text

Distinct3920
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
2023-12-13T00:56:32.626208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length55
Mean length23.672192
Min length4

Characters and Unicode

Total characters102832
Distinct characters717
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3663 ?
Unique (%)84.3%

Sample

1st row관용차량 유류 구입
2nd row관용차 유류 구입
3rd row전문가 자문료 지급
4th row미래전략 업무추진 국내여비 지급(1월 관외)
5th row현안사업 홍보를 위한 업무협의자 식사 제공
ValueCountFrequency (%)
지급 914
 
4.4%
2020년 851
 
4.1%
및 709
 
3.4%
구입 613
 
3.0%
1월 437
 
2.1%
교부결정 282
 
1.4%
교부 265
 
1.3%
납부 261
 
1.3%
보조금 219
 
1.1%
2월 213
 
1.0%
Other values (5242) 15960
77.0%
2023-12-13T00:56:33.268216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16380
 
15.9%
2 2959
 
2.9%
지 2639
 
2.6%
0 2368
 
2.3%
( 2284
 
2.2%
) 2282
 
2.2%
사 2064
 
2.0%
급 1977
 
1.9%
1 1653
 
1.6%
월 1569
 
1.5%
Other values (707) 66657
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71829
69.9%
Space Separator 16380
 
15.9%
Decimal Number 8250
 
8.0%
Open Punctuation 2374
 
2.3%
Close Punctuation 2372
 
2.3%
Other Punctuation 868
 
0.8%
Dash Punctuation 321
 
0.3%
Uppercase Letter 301
 
0.3%
Math Symbol 89
 
0.1%
Lowercase Letter 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2639
 
3.7%
사 2064
 
2.9%
급 1977
 
2.8%
월 1569
 
2.2%
비 1473
 
2.1%
부 1368
 
1.9%
기 1223
 
1.7%
수 1215
 
1.7%
년 1150
 
1.6%
정 1096
 
1.5%
Other values (638) 56055
78.0%
Uppercase Letter
ValueCountFrequency (%)
C 49
16.3%
S 32
10.6%
T 31
10.3%
P 29
9.6%
V 27
9.0%
D 17
 
5.6%
A 16
 
5.3%
E 14
 
4.7%
G 13
 
4.3%
L 13
 
4.3%
Other values (13) 60
19.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
16.7%
c 4
13.3%
t 3
10.0%
v 2
 
6.7%
m 2
 
6.7%
l 2
 
6.7%
i 2
 
6.7%
p 2
 
6.7%
k 2
 
6.7%
h 1
 
3.3%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
2 2959
35.9%
0 2368
28.7%
1 1653
20.0%
9 320
 
3.9%
4 227
 
2.8%
3 181
 
2.2%
8 160
 
1.9%
5 156
 
1.9%
7 125
 
1.5%
6 101
 
1.2%
Other Punctuation
ValueCountFrequency (%)
* 320
36.9%
. 201
23.2%
, 177
20.4%
: 65
 
7.5%
/ 64
 
7.4%
· 28
 
3.2%
! 7
 
0.8%
' 5
 
0.6%
？ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2284
96.2%
[ 78
 
3.3%
「 12
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 2282
96.2%
] 78
 
3.3%
」 12
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 79
88.8%
+ 5
 
5.6%
→ 5
 
5.6%
Space Separator
ValueCountFrequency (%)
16380
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 321
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71829
69.9%
Common 30672
29.8%
Latin 331
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2639
 
3.7%
사 2064
 
2.9%
급 1977
 
2.8%
월 1569
 
2.2%
비 1473
 
2.1%
부 1368
 
1.9%
기 1223
 
1.7%
수 1215
 
1.7%
년 1150
 
1.6%
정 1096
 
1.5%
Other values (638) 56055
78.0%
Latin
ValueCountFrequency (%)
C 49
14.8%
S 32
 
9.7%
T 31
 
9.4%
P 29
 
8.8%
V 27
 
8.2%
D 17
 
5.1%
A 16
 
4.8%
E 14
 
4.2%
G 13
 
3.9%
L 13
 
3.9%
Other values (28) 90
27.2%
Common
ValueCountFrequency (%)
16380
53.4%
2 2959
 
9.6%
0 2368
 
7.7%
( 2284
 
7.4%
) 2282
 
7.4%
1 1653
 
5.4%
- 321
 
1.0%
* 320
 
1.0%
9 320
 
1.0%
4 227
 
0.7%
Other values (21) 1558
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71829
69.9%
ASCII 30945
30.1%
None 53
 
0.1%
Arrows 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16380
52.9%
2 2959
 
9.6%
0 2368
 
7.7%
( 2284
 
7.4%
) 2282
 
7.4%
1 1653
 
5.3%
- 321
 
1.0%
* 320
 
1.0%
9 320
 
1.0%
4 227
 
0.7%
Other values (54) 1831
 
5.9%
Hangul
ValueCountFrequency (%)
지 2639
 
3.7%
사 2064
 
2.9%
급 1977
 
2.8%
월 1569
 
2.2%
비 1473
 
2.1%
부 1368
 
1.9%
기 1223
 
1.7%
수 1215
 
1.7%
년 1150
 
1.6%
정 1096
 
1.5%
Other values (638) 56055
78.0%
None
ValueCountFrequency (%)
· 28
52.8%
」 12
22.6%
「 12
22.6%
？ 1
 
1.9%
Arrows
ValueCountFrequency (%)
→ 5
100.0%

지출액
Text

Distinct2793
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
2023-12-13T00:56:33.615356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.4633978
Min length4

Characters and Unicode

Total characters32421
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2345 ?
Unique (%)54.0%

Sample

1st row48470
2nd row85320
3rd row200000
4th row384300
5th row279000
ValueCountFrequency (%)
200000 58
 
1.3%
100000 28
 
0.6%
35000 27
 
0.6%
30000 26
 
0.6%
2000000 25
 
0.6%
98000 25
 
0.6%
1000000 23
 
0.5%
150000 22
 
0.5%
500000 21
 
0.5%
60000 20
 
0.5%
Other values (2780) 4069
93.7%
2023-12-13T00:56:34.177378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13047
40.2%
4340
 
13.4%
1 2295
 
7.1%
2 2056
 
6.3%
4 1707
 
5.3%
5 1682
 
5.2%
3 1653
 
5.1%
6 1515
 
4.7%
8 1487
 
4.6%
9 1332
 
4.1%
Other values (3) 1307
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28073
86.6%
Space Separator 4340
 
13.4%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13047
46.5%
1 2295
 
8.2%
2 2056
 
7.3%
4 1707
 
6.1%
5 1682
 
6.0%
3 1653
 
5.9%
6 1515
 
5.4%
8 1487
 
5.3%
9 1332
 
4.7%
7 1299
 
4.6%
Space Separator
ValueCountFrequency (%)
4340
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32421
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13047
40.2%
4340
 
13.4%
1 2295
 
7.1%
2 2056
 
6.3%
4 1707
 
5.3%
5 1682
 
5.2%
3 1653
 
5.1%
6 1515
 
4.7%
8 1487
 
4.6%
9 1332
 
4.1%
Other values (3) 1307
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13047
40.2%
4340
 
13.4%
1 2295
 
7.1%
2 2056
 
6.3%
4 1707
 
5.3%
5 1682
 
5.2%
3 1653
 
5.1%
6 1515
 
4.7%
8 1487
 
4.6%
9 1332
 
4.1%
Other values (3) 1307
 
4.0%

지급일자
Date

Distinct143
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size34.1 KiB
Minimum2020-01-03 00:00:00
Maximum2020-10-27 00:00:00
2023-12-13T00:56:34.398686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:56:34.636156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T00:56:28.820176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:56:35.150532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호회계구분부서명경비구분통계목
번호1.0000.2030.9890.5560.744
회계구분0.2031.0000.3360.0630.705
부서명0.9890.3361.0000.6740.843
경비구분0.5560.0630.6741.0000.788
통계목0.7440.7050.8430.7881.000
2023-12-13T00:56:35.283352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경비구분회계구분부서명
경비구분1.0000.0670.569
회계구분0.0671.0000.141
부서명0.5690.1411.000
2023-12-13T00:56:35.402477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호회계구분부서명경비구분
번호1.0000.1040.8990.429
회계구분0.1041.0000.1410.067
부서명0.8990.1411.0000.569
경비구분0.4290.0670.5691.000

Missing values

2023-12-13T00:56:29.020588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:56:29.268233image/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

번호회계년도회계구분부서명경비구분세부사업명통계목적요지출액지급일자
012020일반회계미래전략담당관일상경비지역 특화 스포츠관광 산업 육성공공운영비관용차량 유류 구입484702020-02-07
122020일반회계미래전략담당관일상경비지역 특화 스포츠관광 산업 육성공공운영비관용차 유류 구입853202020-02-13
232020일반회계미래전략담당관일상경비지역 특화 스포츠관광 산업 육성사무관리비전문가 자문료 지급2000002020-02-26
342020일반회계미래전략담당관일상경비미래전략국내여비미래전략 업무추진 국내여비 지급(1월 관외)3843002020-02-03
452020일반회계미래전략담당관일상경비미래전략시책추진업무추진비현안사업 홍보를 위한 업무협의자 식사 제공2790002020-02-03
562020일반회계미래전략담당관일상경비농어촌 관광휴양단지 조성사무관리비홍보물 제작(배너)440002020-01-20
672020일반회계미래전략담당관일상경비농어촌 관광휴양단지 조성사무관리비법률자문료 청구10000002020-02-03
782020일반회계미래전략담당관일상경비농어촌 관광휴양단지 조성사무관리비농어촌관광휴양단지 조성 및 운영 관련 벤치마킹 입장료 지급900002020-02-03
892020일반회계미래전략담당관일상경비농어촌 관광휴양단지 조성국내여비농어촌 관광휴양단지 조성 업무추진 국내여비 지급(1월 관외)2726002020-02-03
9102020일반회계미래전략담당관일상경비농어촌 관광휴양단지 조성사무관리비농어촌관광휴양단지 운영 벤치마킹 컨설팅비 지급2000002020-02-13
번호회계년도회계구분부서명경비구분세부사업명통계목적요지출액지급일자
433443352020수질개선관리환경관리과일반지출관리청별 주민지원시설비해맑은 청정해천 정비사업 전기공사-도급(명시)98500002020-01-16
433543362020수질개선관리환경관리과일반지출환경기초시설 설치공기업특별회계자본전출금2월 낙동강수계관리기금 자금전출(수질개선관리→하수도공기업 특별회계)500000002020-02-21
433643372020농업발전기금농정과일반지출농업발전기금조성민간융자금2020년 밀양시 농업발전기금 융자금 대여 건의21474836472020-04-28
433743382020식품진흥기금보건위생과일반지출식품위생관리사무관리비2020년 식품위생 정보공유 앱(APP) 사용 계약1300002020-01-31
433843392020재난관리기금안전재난관리과일반지출재난예방 및 복구시설비배수장(내이,새터) 제진기 설치공사(관급자재: 제진기)-사고3300000002020-01-23
433943402020재난관리기금안전재난관리과일반지출재난예방 및 복구시설비재해영상전광판 주변 가드레일 설치 공사-관급(가드레일)-사고104963702020-02-03
434043412020재난관리기금안전재난관리과일반지출재난예방 및 복구시설비재해영상전광판 주변 가드레일 설치 공사-사고43700002020-02-05
434143422020재난관리기금안전재난관리과일반지출재난예방 및 복구재료비신종코로나바이러스감염증 대응 소독제 구입206600002020-02-20
434243432020재난관리기금안전재난관리과일반지출재난예방 및 복구의료및구료비신종코로나바이러스감염증 대응 마스크 구입15840002020-02-21
434343442020체육진흥기금관광체육과일반지출기금 내부거래지출기타회계전출금밀양시체육진흥기금 정기예금 납부20000000002020-09-25