Overview

Dataset statistics

Number of variables10
Number of observations1009
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory85.9 KiB
Average record size in memory87.1 B

Variable types

Categorical2
Text1
Numeric7

Dataset

Description전북특별자치도 장수군 부서별 예산집행현황(부서명, 세부 사업, 통계목, 예산액, 본예산액, 이월예산액, 54.3퍼센트목표액, 집행액 누계, 예산액집행률, 54.3퍼센트집행률)에 대한 데이터를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15040712/fileData.do

Alerts

예산액(원) is highly overall correlated with 본예산액(원) and 1 other fieldsHigh correlation
본예산액(원) is highly overall correlated with 예산액(원) and 1 other fieldsHigh correlation
54_3퍼센트목표액(원) is highly overall correlated with 예산액(원) and 1 other fieldsHigh correlation
집행액 누계(원) is highly overall correlated with 예산액집행률 and 2 other fieldsHigh correlation
예산액집행률 is highly overall correlated with 집행액 누계(원) and 1 other fieldsHigh correlation
54_3퍼센트집행률 is highly overall correlated with 집행액 누계(원) and 1 other fieldsHigh correlation
통계목 is highly overall correlated with 집행액 누계(원)High correlation
본예산액(원) has 118 (11.7%) zerosZeros
이월예산액(원) has 772 (76.5%) zerosZeros
집행액 누계(원) has 716 (71.0%) zerosZeros
예산액집행률 has 716 (71.0%) zerosZeros
54_3퍼센트집행률 has 716 (71.0%) zerosZeros

Reproduction

Analysis started2024-04-06 08:04:12.939380
Analysis finished2024-04-06 08:04:25.574390
Duration12.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부서명
Categorical

Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
산림공원과
110 
축산과
109 
건설교통과
89 
농산유통과
70 
환경위생과
67 
Other values (22)
564 

Length

Max length8
Median length5
Mean length4.802775
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산림공원과 110
10.9%
축산과 109
10.8%
건설교통과 89
 
8.8%
농산유통과 70
 
6.9%
환경위생과 67
 
6.6%
농업정책과 65
 
6.4%
기술보급과 64
 
6.3%
주민복지과 58
 
5.7%
문화관광과 56
 
5.6%
체육맑은물사업소 55
 
5.5%
Other values (17) 266
26.4%

Length

2024-04-06T17:04:25.755383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
산림공원과 110
10.9%
축산과 109
10.8%
건설교통과 89
 
8.8%
농산유통과 70
 
6.9%
환경위생과 67
 
6.6%
농업정책과 65
 
6.4%
기술보급과 64
 
6.3%
주민복지과 58
 
5.7%
문화관광과 56
 
5.6%
체육맑은물사업소 55
 
5.5%
Other values (17) 266
26.4%

세부 사업
Text

Distinct806
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-04-06T17:04:26.403300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length38
Mean length15.130823
Min length4

Characters and Unicode

Total characters15267
Distinct characters487
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique660 ?
Unique (%)65.4%

Sample

1st row군정 종합관리 운영
2nd row정책업무 운영 관리
3rd row정책업무 운영 관리
4th row군정평가운영
5th row생활권단위 로컬브랜딩 지원사업
ValueCountFrequency (%)
지원 96
 
3.4%
운영 88
 
3.2%
및 66
 
2.4%
지원사업 54
 
1.9%
관리 46
 
1.7%
사업 31
 
1.1%
장수 22
 
0.8%
설치 20
 
0.7%
시범 17
 
0.6%
추진 14
 
0.5%
Other values (1459) 2329
83.7%
2024-04-06T17:04:27.342859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1782
 
11.7%
사 608
 
4.0%
업 600
 
3.9%
지 569
 
3.7%
( 415
 
2.7%
) 415
 
2.7%
원 403
 
2.6%
수 237
 
1.6%
리 222
 
1.5%
기 219
 
1.4%
Other values (477) 9797
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12457
81.6%
Space Separator 1782
 
11.7%
Open Punctuation 415
 
2.7%
Close Punctuation 415
 
2.7%
Uppercase Letter 116
 
0.8%
Other Punctuation 49
 
0.3%
Decimal Number 22
 
0.1%
Dash Punctuation 5
 
< 0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 608
 
4.9%
업 600
 
4.8%
지 569
 
4.6%
원 403
 
3.2%
수 237
 
1.9%
리 222
 
1.8%
기 219
 
1.8%
관 218
 
1.8%
전 197
 
1.6%
시 194
 
1.6%
Other values (437) 8990
72.2%
Uppercase Letter
ValueCountFrequency (%)
C 25
21.6%
T 13
11.2%
I 13
11.2%
P 12
10.3%
A 12
10.3%
G 9
 
7.8%
L 8
 
6.9%
V 7
 
6.0%
S 3
 
2.6%
B 3
 
2.6%
Other values (8) 11
9.5%
Decimal Number
ValueCountFrequency (%)
1 5
22.7%
2 4
18.2%
0 4
18.2%
9 2
 
9.1%
7 2
 
9.1%
3 2
 
9.1%
5 2
 
9.1%
4 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 21
42.9%
· 18
36.7%
. 7
 
14.3%
' 2
 
4.1%
? 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
p 1
20.0%
l 1
20.0%
v 1
20.0%
Space Separator
ValueCountFrequency (%)
1782
100.0%
Open Punctuation
ValueCountFrequency (%)
( 415
100.0%
Close Punctuation
ValueCountFrequency (%)
) 415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12457
81.6%
Common 2689
 
17.6%
Latin 121
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 608
 
4.9%
업 600
 
4.8%
지 569
 
4.6%
원 403
 
3.2%
수 237
 
1.9%
리 222
 
1.8%
기 219
 
1.8%
관 218
 
1.8%
전 197
 
1.6%
시 194
 
1.6%
Other values (437) 8990
72.2%
Latin
ValueCountFrequency (%)
C 25
20.7%
T 13
10.7%
I 13
10.7%
P 12
9.9%
A 12
9.9%
G 9
 
7.4%
L 8
 
6.6%
V 7
 
5.8%
S 3
 
2.5%
B 3
 
2.5%
Other values (12) 16
13.2%
Common
ValueCountFrequency (%)
1782
66.3%
( 415
 
15.4%
) 415
 
15.4%
, 21
 
0.8%
· 18
 
0.7%
. 7
 
0.3%
- 5
 
0.2%
1 5
 
0.2%
2 4
 
0.1%
0 4
 
0.1%
Other values (8) 13
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12455
81.6%
ASCII 2792
 
18.3%
None 18
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1782
63.8%
( 415
 
14.9%
) 415
 
14.9%
C 25
 
0.9%
, 21
 
0.8%
T 13
 
0.5%
I 13
 
0.5%
P 12
 
0.4%
A 12
 
0.4%
G 9
 
0.3%
Other values (29) 75
 
2.7%
Hangul
ValueCountFrequency (%)
사 608
 
4.9%
업 600
 
4.8%
지 569
 
4.6%
원 403
 
3.2%
수 237
 
1.9%
리 222
 
1.8%
기 219
 
1.8%
관 218
 
1.8%
전 197
 
1.6%
시 194
 
1.6%
Other values (436) 8988
72.2%
None
ValueCountFrequency (%)
· 18
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

통계목
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
401-01 시설비
257 
307-02 민간경상사업보조
166 
402-02 민간자본사업보조(이전재원)
103 
206-01 재료비
92 
401-03 시설부대비
62 
Other values (18)
329 

Length

Max length22
Median length21
Mean length14.171457
Min length10

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row207-01 연구용역비
2nd row207-01 연구용역비
3rd row308-07 자치단체간부담금
4th row207-01 연구용역비
5th row401-01 시설비

Common Values

ValueCountFrequency (%)
401-01 시설비 257
25.5%
307-02 민간경상사업보조 166
16.5%
402-02 민간자본사업보조(이전재원) 103
10.2%
206-01 재료비 92
 
9.1%
401-03 시설부대비 62
 
6.1%
402-01 민간자본사업보조(자체재원) 59
 
5.8%
405-01 자산및물품취득비 56
 
5.6%
307-05 민간위탁금 53
 
5.3%
308-13 공기관등에대한경상적위탁사업비 45
 
4.5%
207-01 연구용역비 26
 
2.6%
Other values (13) 90
 
8.9%

Length

2024-04-06T17:04:28.743732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
401-01 257
 
12.7%
시설비 257
 
12.7%
307-02 166
 
8.2%
민간경상사업보조 166
 
8.2%
402-02 103
 
5.1%
민간자본사업보조(이전재원 103
 
5.1%
206-01 92
 
4.6%
재료비 92
 
4.6%
401-03 62
 
3.1%
시설부대비 62
 
3.1%
Other values (36) 658
32.6%

예산액(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct662
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9124811 × 108
Minimum0
Maximum1.1849966 × 1010
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-06T17:04:29.183472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1644000
Q19600000
median46400000
Q32 × 108
95-th percentile1.3786592 × 109
Maximum1.1849966 × 1010
Range1.1849966 × 1010
Interquartile range (IQR)1.904 × 108

Descriptive statistics

Standard deviation7.8340008 × 108
Coefficient of variation (CV)2.6898031
Kurtosis69.285098
Mean2.9124811 × 108
Median Absolute Deviation (MAD)43210000
Skewness6.8303238
Sum2.9386935 × 1011
Variance6.1371569 × 1017
MonotonicityNot monotonic
2024-04-06T17:04:29.727443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000000 25
 
2.5%
1000000 24
 
2.4%
30000000 20
 
2.0%
20000000 18
 
1.8%
100000000 16
 
1.6%
80000000 16
 
1.6%
3000000 16
 
1.6%
4000000 15
 
1.5%
10000000 15
 
1.5%
50000000 15
 
1.5%
Other values (652) 829
82.2%
ValueCountFrequency (%)
0 2
0.2%
220000 1
 
0.1%
250000 1
 
0.1%
338000 1
 
0.1%
360000 1
 
0.1%
400000 1
 
0.1%
420000 1
 
0.1%
500000 4
0.4%
540000 2
0.2%
660000 2
0.2%
ValueCountFrequency (%)
11849966000 1
0.1%
8469503660 1
0.1%
5568551310 1
0.1%
5500000000 1
0.1%
5495907040 1
0.1%
5317739570 1
0.1%
4546455600 1
0.1%
4446644090 1
0.1%
4433926880 1
0.1%
4430607000 1
0.1%

본예산액(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct540
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0540218 × 108
Minimum0
Maximum1.1849966 × 1010
Zeros118
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-06T17:04:30.457710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14000000
median30000000
Q31.385 × 108
95-th percentile1 × 109
Maximum1.1849966 × 1010
Range1.1849966 × 1010
Interquartile range (IQR)1.345 × 108

Descriptive statistics

Standard deviation6.0290669 × 108
Coefficient of variation (CV)2.9352497
Kurtosis150.11651
Mean2.0540218 × 108
Median Absolute Deviation (MAD)29600000
Skewness9.6217206
Sum2.072508 × 1011
Variance3.6349647 × 1017
MonotonicityNot monotonic
2024-04-06T17:04:31.289997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118
 
11.7%
1000000 25
 
2.5%
2000000 25
 
2.5%
30000000 20
 
2.0%
50000000 19
 
1.9%
20000000 19
 
1.9%
3000000 17
 
1.7%
100000000 16
 
1.6%
4000000 15
 
1.5%
5000000 14
 
1.4%
Other values (530) 721
71.5%
ValueCountFrequency (%)
0 118
11.7%
220000 1
 
0.1%
250000 1
 
0.1%
338000 1
 
0.1%
360000 1
 
0.1%
400000 1
 
0.1%
420000 1
 
0.1%
500000 3
 
0.3%
540000 2
 
0.2%
660000 2
 
0.2%
ValueCountFrequency (%)
11849966000 1
0.1%
5500000000 1
0.1%
4112000000 1
0.1%
3998000000 1
0.1%
3600000000 1
0.1%
3522000000 1
0.1%
3200000000 1
0.1%
2552500000 1
0.1%
2500000000 1
0.1%
2403175000 1
0.1%

이월예산액(원)
Real number (ℝ)

ZEROS 

Distinct218
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85845933
Minimum0
Maximum4.8695037 × 109
Zeros772
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-06T17:04:31.955037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.6381987 × 108
Maximum4.8695037 × 109
Range4.8695037 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.6761068 × 108
Coefficient of variation (CV)4.2822142
Kurtosis69.838817
Mean85845933
Median Absolute Deviation (MAD)0
Skewness7.4336966
Sum8.6618547 × 1010
Variance1.3513761 × 1017
MonotonicityNot monotonic
2024-04-06T17:04:32.421297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 772
76.5%
30000000 5
 
0.5%
200000000 5
 
0.5%
20000000 4
 
0.4%
100000000 3
 
0.3%
2000000 3
 
0.3%
420000000 3
 
0.3%
300000000 3
 
0.3%
10000000 2
 
0.2%
5140000 1
 
0.1%
Other values (208) 208
 
20.6%
ValueCountFrequency (%)
0 772
76.5%
244780 1
 
0.1%
320200 1
 
0.1%
344500 1
 
0.1%
500000 1
 
0.1%
970220 1
 
0.1%
1000000 1
 
0.1%
1680000 1
 
0.1%
1771800 1
 
0.1%
1883700 1
 
0.1%
ValueCountFrequency (%)
4869503660 1
0.1%
4446644090 1
0.1%
3486739570 1
0.1%
3438149630 1
0.1%
2640160810 1
0.1%
2448086000 1
0.1%
2154070000 1
0.1%
2046551310 1
0.1%
2046455600 1
0.1%
1960001000 1
0.1%

54_3퍼센트목표액(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct662
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5814772 × 108
Minimum0
Maximum6.4345315 × 109
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-06T17:04:32.825008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile892692
Q15212800
median25195200
Q31.086 × 108
95-th percentile7.4861192 × 108
Maximum6.4345315 × 109
Range6.4345315 × 109
Interquartile range (IQR)1.033872 × 108

Descriptive statistics

Standard deviation4.2538625 × 108
Coefficient of variation (CV)2.6898031
Kurtosis69.285098
Mean1.5814772 × 108
Median Absolute Deviation (MAD)23463030
Skewness6.8303238
Sum1.5957105 × 1011
Variance1.8095346 × 1017
MonotonicityNot monotonic
2024-04-06T17:04:33.143202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1086000 25
 
2.5%
543000 24
 
2.4%
16290000 20
 
2.0%
10860000 18
 
1.8%
54300000 16
 
1.6%
43440000 16
 
1.6%
1629000 16
 
1.6%
2172000 15
 
1.5%
5430000 15
 
1.5%
27150000 15
 
1.5%
Other values (652) 829
82.2%
ValueCountFrequency (%)
0 2
0.2%
119460 1
 
0.1%
135750 1
 
0.1%
183530 1
 
0.1%
195480 1
 
0.1%
217200 1
 
0.1%
228060 1
 
0.1%
271500 4
0.4%
293220 2
0.2%
358380 2
0.2%
ValueCountFrequency (%)
6434531530 1
0.1%
4598940480 1
0.1%
3023723360 1
0.1%
2986500000 1
0.1%
2984277520 1
0.1%
2887532580 1
0.1%
2468725390 1
0.1%
2414527740 1
0.1%
2407622290 1
0.1%
2405819600 1
0.1%

집행액 누계(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct278
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32642613
Minimum0
Maximum4.922633 × 109
Zeros716
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-06T17:04:33.458498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32600000
95-th percentile1.94926 × 108
Maximum4.922633 × 109
Range4.922633 × 109
Interquartile range (IQR)2600000

Descriptive statistics

Standard deviation1.8440271 × 108
Coefficient of variation (CV)5.6491406
Kurtosis494.4126
Mean32642613
Median Absolute Deviation (MAD)0
Skewness19.488408
Sum3.2936396 × 1010
Variance3.4004359 × 1016
MonotonicityNot monotonic
2024-04-06T17:04:33.815359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 716
71.0%
30000000 4
 
0.4%
16000000 3
 
0.3%
100000000 2
 
0.2%
35000000 2
 
0.2%
5000000 2
 
0.2%
630000 2
 
0.2%
10000000 2
 
0.2%
80000000 2
 
0.2%
25000000 2
 
0.2%
Other values (268) 272
 
27.0%
ValueCountFrequency (%)
0 716
71.0%
60000 1
 
0.1%
140000 1
 
0.1%
160000 1
 
0.1%
170000 1
 
0.1%
180000 1
 
0.1%
195800 1
 
0.1%
240000 1
 
0.1%
260000 2
 
0.2%
336600 1
 
0.1%
ValueCountFrequency (%)
4922633000 1
0.1%
1062000000 1
0.1%
945887000 1
0.1%
934484550 1
0.1%
865224670 1
0.1%
800000000 1
0.1%
712662650 1
0.1%
681760070 1
0.1%
638500000 1
0.1%
636521040 1
0.1%

예산액집행률
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct202
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13430357
Minimum0
Maximum1
Zeros716
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-06T17:04:34.084643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0393
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.0393

Descriptive statistics

Standard deviation0.29749281
Coefficient of variation (CV)2.2150775
Kurtosis3.4007643
Mean0.13430357
Median Absolute Deviation (MAD)0
Skewness2.2124248
Sum135.5123
Variance0.08850197
MonotonicityNot monotonic
2024-04-06T17:04:34.423506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 716
71.0%
1.0 71
 
7.0%
0.25 10
 
1.0%
0.5 4
 
0.4%
0.14 2
 
0.2%
0.4421 2
 
0.2%
0.5025 2
 
0.2%
0.0014 2
 
0.2%
0.6 2
 
0.2%
0.0015 2
 
0.2%
Other values (192) 196
 
19.4%
ValueCountFrequency (%)
0.0 716
71.0%
0.001 1
 
0.1%
0.0014 2
 
0.2%
0.0015 2
 
0.2%
0.0016 1
 
0.1%
0.0031 1
 
0.1%
0.0037 1
 
0.1%
0.0049 1
 
0.1%
0.0051 1
 
0.1%
0.0053 1
 
0.1%
ValueCountFrequency (%)
1.0 71
7.0%
0.9999 1
 
0.1%
0.9997 2
 
0.2%
0.9988 1
 
0.1%
0.9985 2
 
0.2%
0.9805 1
 
0.1%
0.9487 1
 
0.1%
0.9318 1
 
0.1%
0.9164 1
 
0.1%
0.9073 1
 
0.1%

54_3퍼센트집행률
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct209
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24733508
Minimum0
Maximum1.8417
Zeros716
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-06T17:04:34.737160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0724
95-th percentile1.8416
Maximum1.8417
Range1.8417
Interquartile range (IQR)0.0724

Descriptive statistics

Standard deviation0.54786485
Coefficient of variation (CV)2.2150713
Kurtosis3.400724
Mean0.24733508
Median Absolute Deviation (MAD)0
Skewness2.2124159
Sum249.5611
Variance0.30015589
MonotonicityNot monotonic
2024-04-06T17:04:35.060941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 716
71.0%
1.8416 69
 
6.8%
0.4604 10
 
1.0%
0.9208 4
 
0.4%
0.0027 3
 
0.3%
0.1282 2
 
0.2%
1.105 2
 
0.2%
1.8417 2
 
0.2%
0.0782 1
 
0.1%
0.4915 1
 
0.1%
Other values (199) 199
 
19.7%
ValueCountFrequency (%)
0.0 716
71.0%
0.0019 1
 
0.1%
0.0027 3
 
0.3%
0.0028 1
 
0.1%
0.0029 1
 
0.1%
0.0058 1
 
0.1%
0.0068 1
 
0.1%
0.009 1
 
0.1%
0.0095 1
 
0.1%
0.0097 1
 
0.1%
ValueCountFrequency (%)
1.8417 2
 
0.2%
1.8416 69
6.8%
1.8414 1
 
0.1%
1.8411 1
 
0.1%
1.841 1
 
0.1%
1.8395 1
 
0.1%
1.8389 1
 
0.1%
1.8388 1
 
0.1%
1.8057 1
 
0.1%
1.7471 1
 
0.1%

Interactions

2024-04-06T17:04:23.379341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:14.197615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:16.293276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:17.909672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:19.273963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:20.644938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:21.918942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:23.588810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:14.794869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:16.592111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:18.091127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:19.457340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:20.820789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:22.155958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:23.812872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:15.024061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:16.824043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:18.312493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:19.626809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:21.005980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:22.348341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:24.048280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:15.348379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:17.044603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:18.485258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:19.807014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:21.169316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:22.609786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:24.323686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:15.598971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:17.235493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:18.682774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:19.967647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:21.316191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:22.798441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:24.563317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:15.825991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:17.473075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:18.878641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:20.173436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:21.493568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:22.972040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:24.758649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:16.052677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:17.723669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:19.056642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:20.432151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:21.677914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:04:23.158219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:04:35.279624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서명통계목예산액(원)본예산액(원)이월예산액(원)54_3퍼센트목표액(원)집행액 누계(원)예산액집행률54_3퍼센트집행률
부서명1.0000.7270.0000.0000.1410.0000.0000.4210.433
통계목0.7271.0000.2000.2600.0000.2000.8230.5600.556
예산액(원)0.0000.2001.0000.8490.6891.0000.7840.3390.311
본예산액(원)0.0000.2600.8491.0000.4660.8490.7840.2920.248
이월예산액(원)0.1410.0000.6890.4661.0000.6890.6270.2390.230
54_3퍼센트목표액(원)0.0000.2001.0000.8490.6891.0000.7840.3390.311
집행액 누계(원)0.0000.8230.7840.7840.6270.7841.0000.4190.392
예산액집행률0.4210.5600.3390.2920.2390.3390.4191.0000.999
54_3퍼센트집행률0.4330.5560.3110.2480.2300.3110.3920.9991.000
2024-04-06T17:04:35.516719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계목부서명
통계목1.0000.266
부서명0.2661.000
2024-04-06T17:04:35.698232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산액(원)본예산액(원)이월예산액(원)54_3퍼센트목표액(원)집행액 누계(원)예산액집행률54_3퍼센트집행률부서명통계목
예산액(원)1.0000.7210.4101.0000.3280.2070.2070.0000.087
본예산액(원)0.7211.000-0.1260.7210.1970.1110.1110.0000.119
이월예산액(원)0.410-0.1261.0000.4100.2790.1970.1970.0560.000
54_3퍼센트목표액(원)1.0000.7210.4101.0000.3280.2070.2070.0000.087
집행액 누계(원)0.3280.1970.2790.3281.0000.9700.9700.0000.596
예산액집행률0.2070.1110.1970.2070.9701.0001.0000.1700.240
54_3퍼센트집행률0.2070.1110.1970.2070.9701.0001.0000.1700.240
부서명0.0000.0000.0560.0000.0000.1700.1701.0000.266
통계목0.0870.1190.0000.0870.5960.2400.2400.2661.000

Missing values

2024-04-06T17:04:25.058210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:04:25.428721image/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

부서명세부 사업통계목예산액(원)본예산액(원)이월예산액(원)54_3퍼센트목표액(원)집행액 누계(원)예산액집행률54_3퍼센트집행률
0기획조정실군정 종합관리 운영207-01 연구용역비600000060000000325800000.00.0
1기획조정실정책업무 운영 관리207-01 연구용역비18872000017000000018720000102474960352000000.18650.3435
2기획조정실정책업무 운영 관리308-07 자치단체간부담금400000040000000217200040000001.01.8416
3기획조정실군정평가운영207-01 연구용역비5067468037280000133946802751635000.00.0
4기획조정실생활권단위 로컬브랜딩 지원사업401-01 시설비4012046000401204600217854090385198900.0960.1768
5기획조정실예산편성 및 지원308-13 공기관등에대한경상적위탁사업비433690004336900002354936000.00.0
6기획조정실예산편성 및 지원403-02 공기관등에대한자본적위탁사업비14550700014550700007901030000.00.0
7기획조정실공통예산 지원405-01 자산및물품취득비1000000010000000054300007230000.07230.1331
8기획조정실감사관리308-13 공기관등에대한경상적위탁사업비109280001092800005933900109250000.99971.8411
9기획조정실군정 기획홍보207-01 연구용역비500000005000000002715000000.00.0
부서명세부 사업통계목예산액(원)본예산액(원)이월예산액(원)54_3퍼센트목표액(원)집행액 누계(원)예산액집행률54_3퍼센트집행률
999체육맑은물사업소농어촌 마을하수도 정비사업(자체)401-03 시설부대비300000030000000162900000.00.0
1000체육맑은물사업소하수도의 설치 및 관리(농어촌 마을하수도정비)(금천마을하수도정비)401-01 시설비33022000016600000016422000017930946000.00.0
1001체육맑은물사업소하수도의 설치 및 관리(농어촌 마을하수도정비)(금천마을하수도정비)401-03 시설부대비10000001000000054300000.00.0
1002체육맑은물사업소하수도의 설치 및 관리(하수관로정비)(장계지구 하수관로정비사업)401-01 시설비833000000833000000045231900000.00.0
1003농업정책과신규마을 조성사업401-01 시설비189000000189000001026270000.00.0
1004주민복지과기초생활보장기금401-01 시설비1200000001200000000651600007788000.00650.012
1005주민복지과기초생활보장기금402-01 민간자본사업보조(자체재원)500000005000000002715000000.00.0
1006민생경제과장수 청년 Level Up307-02 민간경상사업보조300000003000000001629000000.00.0
1007민생경제과청년네트워크 활성화사업307-02 민간경상사업보조300000003000000001629000000.00.0
1008민생경제과청년활력센터 조성401-01 시설비11500000001150000000062445000000.00.0