Overview

Dataset statistics

Number of variables25
Number of observations171
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.4 KiB
Average record size in memory223.8 B

Variable types

Categorical2
Text1
Numeric22

Dataset

Description가축재해보험 지자체 보조 예산 계약자 지원 후 잔액을 시도예산액, 시군구예산액시도사용액, 시군구사용액, 농가당한도액, 최대지원금액 등등 세부 현황
Author농업정책보험금융원
URLhttps://www.data.go.kr/data/15068623/fileData.do

Alerts

연도 has constant value ""Constant
법정동코드 has unique valuesUnique
총 예산액 has 2 (1.2%) zerosZeros
시도예산액 has 2 (1.2%) zerosZeros
시군구예산액 has 5 (2.9%) zerosZeros
총 사용액 has 10 (5.8%) zerosZeros
시도사용액 has 10 (5.8%) zerosZeros
시군구사용액 has 13 (7.6%) zerosZeros
총 잔액 has 2 (1.2%) zerosZeros
시도 잔액 has 4 (2.3%) zerosZeros
시군구 잔액 has 6 (3.5%) zerosZeros
총집행율 has 10 (5.8%) zerosZeros
시도집행율 has 10 (5.8%) zerosZeros
시군구집행율 has 13 (7.6%) zerosZeros
농가당한도 has 8 (4.7%) zerosZeros
지원비율 has 16 (9.4%) zerosZeros
최대지원금액 has 8 (4.7%) zerosZeros
시도환급금 has 146 (85.4%) zerosZeros
시군구환급금 has 145 (84.8%) zerosZeros
시도환급금사용액 has 152 (88.9%) zerosZeros
시군구환급금사용액 has 153 (89.5%) zerosZeros
시도환급금잔액 has 148 (86.5%) zerosZeros
시군구환급금잔액 has 146 (85.4%) zerosZeros

Reproduction

Analysis started2023-12-12 12:43:31.892493
Analysis finished2023-12-12 12:43:32.122025
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct16
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경기도
23 
경상북도
22 
전라남도
21 
경상남도
18 
강원특별자치도
18 
Other values (11)
69 

Length

Max length7
Median length4
Mean length4.3274854
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 23
13.5%
경상북도 22
12.9%
전라남도 21
12.3%
경상남도 18
10.5%
강원특별자치도 18
10.5%
충청남도 15
8.8%
전라북도 14
8.2%
충청북도 11
6.4%
부산광역시 7
 
4.1%
인천광역시 5
 
2.9%
Other values (6) 17
9.9%

Length

2023-12-12T21:43:32.189135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 23
13.5%
경상북도 22
12.9%
전라남도 21
12.3%
경상남도 18
10.5%
강원특별자치도 18
10.5%
충청남도 15
8.8%
전라북도 14
8.2%
충청북도 11
6.4%
부산광역시 7
 
4.1%
인천광역시 5
 
2.9%
Other values (6) 17
9.9%

시군구
Text

Distinct163
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T21:43:32.495682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9766082
Min length2

Characters and Unicode

Total characters509
Distinct characters122
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)92.4%

Sample

1st row북구
2nd row해운대구
3rd row금정구
4th row강서구
5th row연제구
ValueCountFrequency (%)
북구 3
 
1.8%
중구 3
 
1.8%
서구 3
 
1.8%
남구 2
 
1.2%
고성군 2
 
1.2%
문경시 1
 
0.6%
경주시 1
 
0.6%
김천시 1
 
0.6%
안동시 1
 
0.6%
구미시 1
 
0.6%
Other values (153) 153
89.5%
2023-12-12T21:43:32.930479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 83
 
16.3%
시 70
 
13.8%
구 24
 
4.7%
주 20
 
3.9%
천 18
 
3.5%
양 16
 
3.1%
성 15
 
2.9%
산 14
 
2.8%
안 10
 
2.0%
영 9
 
1.8%
Other values (112) 230
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 83
 
16.3%
시 70
 
13.8%
구 24
 
4.7%
주 20
 
3.9%
천 18
 
3.5%
양 16
 
3.1%
성 15
 
2.9%
산 14
 
2.8%
안 10
 
2.0%
영 9
 
1.8%
Other values (112) 230
45.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 83
 
16.3%
시 70
 
13.8%
구 24
 
4.7%
주 20
 
3.9%
천 18
 
3.5%
양 16
 
3.1%
성 15
 
2.9%
산 14
 
2.8%
안 10
 
2.0%
영 9
 
1.8%
Other values (112) 230
45.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 83
 
16.3%
시 70
 
13.8%
구 24
 
4.7%
주 20
 
3.9%
천 18
 
3.5%
양 16
 
3.1%
성 15
 
2.9%
산 14
 
2.8%
안 10
 
2.0%
영 9
 
1.8%
Other values (112) 230
45.2%

법정동코드
Real number (ℝ)

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3565614 × 109
Minimum2.632 × 109
Maximum5.183 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:33.071368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.632 × 109
5-th percentile2.81775 × 109
Q14.16 × 109
median4.574 × 109
Q34.7835 × 109
95-th percentile5.174 × 109
Maximum5.183 × 109
Range2.551 × 109
Interquartile range (IQR)6.235 × 108

Descriptive statistics

Standard deviation6.9631723 × 108
Coefficient of variation (CV)0.15983184
Kurtosis0.70739728
Mean4.3565614 × 109
Median Absolute Deviation (MAD)2.53 × 108
Skewness-1.3090891
Sum7.44972 × 1011
Variance4.8485768 × 1017
MonotonicityStrictly increasing
2023-12-12T21:43:33.196954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2632000000 1
 
0.6%
4725000000 1
 
0.6%
4691000000 1
 
0.6%
4711000000 1
 
0.6%
4713000000 1
 
0.6%
4715000000 1
 
0.6%
4717000000 1
 
0.6%
4719000000 1
 
0.6%
4721000000 1
 
0.6%
4723000000 1
 
0.6%
Other values (161) 161
94.2%
ValueCountFrequency (%)
2632000000 1
0.6%
2635000000 1
0.6%
2641000000 1
0.6%
2644000000 1
0.6%
2647000000 1
0.6%
2653000000 1
0.6%
2671000000 1
0.6%
2771000000 1
0.6%
2811000000 1
0.6%
2824500000 1
0.6%
ValueCountFrequency (%)
5183000000 1
0.6%
5182000000 1
0.6%
5181000000 1
0.6%
5180000000 1
0.6%
5179000000 1
0.6%
5178000000 1
0.6%
5177000000 1
0.6%
5176000000 1
0.6%
5175000000 1
0.6%
5173000000 1
0.6%

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022
171 

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 (%)
2022 171
100.0%

Length

2023-12-12T21:43:33.304665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:43:33.385410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 171
100.0%

총 예산액
Real number (ℝ)

ZEROS 

Distinct160
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8634823 × 108
Minimum0
Maximum1.6834772 × 109
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:33.481565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1800000
Q135000000
median1.17 × 108
Q32.4885 × 108
95-th percentile6.474015 × 108
Maximum1.6834772 × 109
Range1.6834772 × 109
Interquartile range (IQR)2.1385 × 108

Descriptive statistics

Standard deviation2.2507716 × 108
Coefficient of variation (CV)1.2078309
Kurtosis11.760965
Mean1.8634823 × 108
Median Absolute Deviation (MAD)1.0185 × 108
Skewness2.7119771
Sum3.1865547 × 1010
Variance5.0659726 × 1016
MonotonicityNot monotonic
2023-12-12T21:43:33.625866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300000000 3
 
1.8%
8000000 3
 
1.8%
75000000 2
 
1.2%
90000000 2
 
1.2%
0 2
 
1.2%
62000000 2
 
1.2%
130200000 2
 
1.2%
240000000 2
 
1.2%
1800000 2
 
1.2%
43283440 1
 
0.6%
Other values (150) 150
87.7%
ValueCountFrequency (%)
0 2
1.2%
176000 1
0.6%
220000 1
0.6%
328000 1
0.6%
440000 1
0.6%
568000 1
0.6%
1426000 1
0.6%
1800000 2
1.2%
2000000 1
0.6%
2040000 1
0.6%
ValueCountFrequency (%)
1683477170 1
0.6%
926662000 1
0.6%
792810000 1
0.6%
782150000 1
0.6%
756000000 1
0.6%
736000000 1
0.6%
701762000 1
0.6%
693000000 1
0.6%
661260000 1
0.6%
633543000 1
0.6%

시도예산액
Real number (ℝ)

ZEROS 

Distinct157
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54315517
Minimum0
Maximum5.4713457 × 108
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:34.043937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile550000
Q19262500
median27200000
Q368500000
95-th percentile1.99425 × 108
Maximum5.4713457 × 108
Range5.4713457 × 108
Interquartile range (IQR)59237500

Descriptive statistics

Standard deviation79413519
Coefficient of variation (CV)1.4620779
Kurtosis12.968977
Mean54315517
Median Absolute Deviation (MAD)24200000
Skewness3.2221651
Sum9.2879534 × 109
Variance6.306507 × 1015
MonotonicityNot monotonic
2023-12-12T21:43:34.208982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400000 2
 
1.2%
900000 2
 
1.2%
18600000 2
 
1.2%
35100000 2
 
1.2%
22500000 2
 
1.2%
84000000 2
 
1.2%
18000000 2
 
1.2%
19350000 2
 
1.2%
60000000 2
 
1.2%
6000000 2
 
1.2%
Other values (147) 151
88.3%
ValueCountFrequency (%)
0 2
1.2%
88000 1
0.6%
110000 1
0.6%
143000 1
0.6%
164000 1
0.6%
220000 1
0.6%
284000 1
0.6%
500000 1
0.6%
600000 1
0.6%
715000 1
0.6%
ValueCountFrequency (%)
547134570 1
0.6%
400000000 1
0.6%
396405000 1
0.6%
330630000 1
0.6%
304725000 1
0.6%
297548000 1
0.6%
253417000 1
0.6%
216000000 1
0.6%
200850000 1
0.6%
198000000 1
0.6%

시군구예산액
Real number (ℝ)

ZEROS 

Distinct157
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3203271 × 108
Minimum0
Maximum1.1363426 × 109
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:34.400461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile252000
Q123450000
median77400000
Q31.8 × 108
95-th percentile4.567895 × 108
Maximum1.1363426 × 109
Range1.1363426 × 109
Interquartile range (IQR)1.5655 × 108

Descriptive statistics

Standard deviation1.6372182 × 108
Coefficient of variation (CV)1.2400095
Kurtosis10.682928
Mean1.3203271 × 108
Median Absolute Deviation (MAD)71800000
Skewness2.7295078
Sum2.2577594 × 1010
Variance2.6804833 × 1016
MonotonicityNot monotonic
2023-12-12T21:43:34.554219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
2.9%
180000000 4
 
2.3%
52500000 2
 
1.2%
5600000 2
 
1.2%
252000000 2
 
1.2%
43400000 2
 
1.2%
91140000 2
 
1.2%
69000000 2
 
1.2%
900000 2
 
1.2%
72100000 1
 
0.6%
Other values (147) 147
86.0%
ValueCountFrequency (%)
0 5
2.9%
88000 1
 
0.6%
110000 1
 
0.6%
164000 1
 
0.6%
220000 1
 
0.6%
284000 1
 
0.6%
900000 2
 
1.2%
1020000 1
 
0.6%
1125000 1
 
0.6%
1283000 1
 
0.6%
ValueCountFrequency (%)
1136342600 1
0.6%
843996000 1
0.6%
750000000 1
0.6%
582000000 1
0.6%
561536000 1
0.6%
540000000 1
0.6%
522400000 1
0.6%
495000000 1
0.6%
472579000 1
0.6%
441000000 1
0.6%

총 사용액
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6538603 × 108
Minimum0
Maximum1.5927575 × 109
Zeros10
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:34.743317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131700200
median1.0144599 × 108
Q32.0967102 × 108
95-th percentile6.0977636 × 108
Maximum1.5927575 × 109
Range1.5927575 × 109
Interquartile range (IQR)1.7797082 × 108

Descriptive statistics

Standard deviation2.0656962 × 108
Coefficient of variation (CV)1.2490149
Kurtosis13.990727
Mean1.6538603 × 108
Median Absolute Deviation (MAD)91654370
Skewness2.9658118
Sum2.8281011 × 1010
Variance4.2671008 × 1016
MonotonicityNot monotonic
2023-12-12T21:43:34.902173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
5.8%
18440740 1
 
0.6%
85291580 1
 
0.6%
82523060 1
 
0.6%
64781240 1
 
0.6%
102877430 1
 
0.6%
106835200 1
 
0.6%
134607330 1
 
0.6%
54131850 1
 
0.6%
32937010 1
 
0.6%
Other values (152) 152
88.9%
ValueCountFrequency (%)
0 10
5.8%
199700 1
 
0.6%
796220 1
 
0.6%
1205040 1
 
0.6%
1465000 1
 
0.6%
1679230 1
 
0.6%
1899470 1
 
0.6%
2117480 1
 
0.6%
3032300 1
 
0.6%
3142640 1
 
0.6%
ValueCountFrequency (%)
1592757540 1
0.6%
926067750 1
0.6%
743116600 1
0.6%
691667020 1
0.6%
676436190 1
0.6%
655754820 1
0.6%
625034080 1
0.6%
612694210 1
0.6%
611849130 1
0.6%
607703600 1
0.6%

시도사용액
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48756028
Minimum0
Maximum5.1758493 × 108
Zeros10
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:35.093174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16637910
median24918730
Q354520010
95-th percentile1.9410528 × 108
Maximum5.1758493 × 108
Range5.1758493 × 108
Interquartile range (IQR)47882100

Descriptive statistics

Standard deviation73132078
Coefficient of variation (CV)1.4999597
Kurtosis13.58211
Mean48756028
Median Absolute Deviation (MAD)21819610
Skewness3.2913355
Sum8.3372808 × 109
Variance5.3483008 × 1015
MonotonicityNot monotonic
2023-12-12T21:43:35.272991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
5.8%
5532050 1
 
0.6%
25587080 1
 
0.6%
24756700 1
 
0.6%
19433520 1
 
0.6%
30862560 1
 
0.6%
32050890 1
 
0.6%
35089340 1
 
0.6%
16239140 1
 
0.6%
9882140 1
 
0.6%
Other values (152) 152
88.9%
ValueCountFrequency (%)
0 10
5.8%
79610 1
 
0.6%
99850 1
 
0.6%
497050 1
 
0.6%
503730 1
 
0.6%
602520 1
 
0.6%
606230 1
 
0.6%
617220 1
 
0.6%
678450 1
 
0.6%
732500 1
 
0.6%
ValueCountFrequency (%)
517584930 1
0.6%
345833610 1
0.6%
344921530 1
0.6%
305926560 1
0.6%
284851900 1
0.6%
282878560 1
0.6%
243079770 1
0.6%
212322430 1
0.6%
200850000 1
0.6%
187360550 1
0.6%

시군구사용액
Real number (ℝ)

ZEROS 

Distinct159
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1663 × 108
Minimum0
Maximum1.0751726 × 109
Zeros13
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:35.439020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121287335
median72014870
Q31.6158664 × 108
95-th percentile3.5522862 × 108
Maximum1.0751726 × 109
Range1.0751726 × 109
Interquartile range (IQR)1.402993 × 108

Descriptive statistics

Standard deviation1.487414 × 108
Coefficient of variation (CV)1.2753271
Kurtosis13.177021
Mean1.1663 × 108
Median Absolute Deviation (MAD)65941300
Skewness2.9961878
Sum1.994373 × 1010
Variance2.2124004 × 1016
MonotonicityNot monotonic
2023-12-12T21:43:35.623572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
7.6%
99850 1
 
0.6%
49699550 1
 
0.6%
59704500 1
 
0.6%
57766360 1
 
0.6%
45347720 1
 
0.6%
72014870 1
 
0.6%
74784310 1
 
0.6%
99517990 1
 
0.6%
37892710 1
 
0.6%
Other values (149) 149
87.1%
ValueCountFrequency (%)
0 13
7.6%
99850 1
 
0.6%
602520 1
 
0.6%
716610 1
 
0.6%
732500 1
 
0.6%
1058740 1
 
0.6%
1175500 1
 
0.6%
1282250 1
 
0.6%
1571320 1
 
0.6%
2414580 1
 
0.6%
ValueCountFrequency (%)
1075172610 1
0.6%
843401810 1
0.6%
592884280 1
0.6%
541153690 1
0.6%
530794170 1
0.6%
489523910 1
0.6%
468394270 1
0.6%
384413400 1
0.6%
364623830 1
0.6%
345833410 1
0.6%

총 잔액
Real number (ℝ)

ZEROS 

Distinct168
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20962202
Minimum0
Maximum2.3013143 × 108
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:35.812747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10485
Q1446045
median4461370
Q325359000
95-th percentile1.0718492 × 108
Maximum2.3013143 × 108
Range2.3013143 × 108
Interquartile range (IQR)24912955

Descriptive statistics

Standard deviation38312165
Coefficient of variation (CV)1.8276785
Kurtosis10.041956
Mean20962202
Median Absolute Deviation (MAD)4440250
Skewness2.9674479
Sum3.5845365 × 109
Variance1.467822 × 1015
MonotonicityNot monotonic
2023-12-12T21:43:35.957187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
1.2%
10 2
 
1.2%
1800000 2
 
1.2%
128300 1
 
0.6%
7868150 1
 
0.6%
1640 1
 
0.6%
3708420 1
 
0.6%
476940 1
 
0.6%
7567510 1
 
0.6%
122570 1
 
0.6%
Other values (158) 158
92.4%
ValueCountFrequency (%)
0 2
1.2%
10 2
1.2%
1530 1
0.6%
1640 1
0.6%
3190 1
0.6%
7340 1
0.6%
9850 1
0.6%
11120 1
0.6%
11790 1
0.6%
12020 1
0.6%
ValueCountFrequency (%)
230131430 1
0.6%
213296340 1
0.6%
157115920 1
0.6%
138427400 1
0.6%
137991370 1
0.6%
137196910 1
0.6%
123305790 1
0.6%
117989620 1
0.6%
113226860 1
0.6%
101142980 1
0.6%

시도 잔액
Real number (ℝ)

ZEROS 

Distinct167
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5559489.2
Minimum0
Maximum55078470
Zeros4
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:36.088959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2020
Q156140
median814040
Q34767715
95-th percentile30189670
Maximum55078470
Range55078470
Interquartile range (IQR)4711575

Descriptive statistics

Standard deviation10769604
Coefficient of variation (CV)1.9371571
Kurtosis8.5561239
Mean5559489.2
Median Absolute Deviation (MAD)811190
Skewness2.8744921
Sum9.5067265 × 108
Variance1.1598437 × 1014
MonotonicityNot monotonic
2023-12-12T21:43:36.222452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.3%
900000 2
 
1.2%
64150 1
 
0.6%
2360860 1
 
0.6%
1190 1
 
0.6%
1112920 1
 
0.6%
143300 1
 
0.6%
2274060 1
 
0.6%
37440 1
 
0.6%
49110 1
 
0.6%
Other values (157) 157
91.8%
ValueCountFrequency (%)
0 4
2.3%
10 1
 
0.6%
60 1
 
0.6%
200 1
 
0.6%
580 1
 
0.6%
1190 1
 
0.6%
2850 1
 
0.6%
2870 1
 
0.6%
2950 1
 
0.6%
3070 1
 
0.6%
ValueCountFrequency (%)
55078470 1
0.6%
54173790 1
0.6%
53325520 1
0.6%
50571390 1
0.6%
37124040 1
0.6%
34607460 1
0.6%
34301800 1
0.6%
31534440 1
0.6%
30829700 1
0.6%
29549640 1
0.6%

시군구 잔액
Real number (ℝ)

ZEROS 

Distinct165
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15402712
Minimum0
Maximum1.7595764 × 108
Zeros6
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:36.398489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700
Q1283590
median2595500
Q316455220
95-th percentile78413340
Maximum1.7595764 × 108
Range1.7595764 × 108
Interquartile range (IQR)16171630

Descriptive statistics

Standard deviation30138447
Coefficient of variation (CV)1.9566974
Kurtosis11.560096
Mean15402712
Median Absolute Deviation (MAD)2595160
Skewness3.2370603
Sum2.6338638 × 109
Variance9.08326 × 1014
MonotonicityNot monotonic
2023-12-12T21:43:36.546219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.5%
900000 2
 
1.2%
64150 1
 
0.6%
32382010 1
 
0.6%
1091310 1
 
0.6%
450 1
 
0.6%
2595500 1
 
0.6%
333640 1
 
0.6%
5293450 1
 
0.6%
85130 1
 
0.6%
Other values (155) 155
90.6%
ValueCountFrequency (%)
0 6
3.5%
10 1
 
0.6%
340 1
 
0.6%
450 1
 
0.6%
950 1
 
0.6%
3670 1
 
0.6%
6780 1
 
0.6%
7830 1
 
0.6%
8370 1
 
0.6%
14100 1
 
0.6%
ValueCountFrequency (%)
175957640 1
0.6%
159970820 1
0.6%
157115720 1
0.6%
137986600 1
0.6%
103819940 1
0.6%
102895110 1
0.6%
92476090 1
0.6%
88490060 1
0.6%
84919070 1
0.6%
71907610 1
0.6%

총집행율
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.778246
Minimum0
Maximum100
Zeros10
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:36.711212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q174.505
median92.83
Q399.75
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)25.245

Descriptive statistics

Standard deviation25.272396
Coefficient of variation (CV)0.30903568
Kurtosis3.9407746
Mean81.778246
Median Absolute Deviation (MAD)7.15
Skewness-2.0356425
Sum13984.08
Variance638.69398
MonotonicityNot monotonic
2023-12-12T21:43:36.900065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 18
 
10.5%
0.0 10
 
5.8%
99.98 6
 
3.5%
99.89 3
 
1.8%
80.6 2
 
1.2%
99.8 2
 
1.2%
99.75 2
 
1.2%
77.66 2
 
1.2%
99.96 2
 
1.2%
99.85 2
 
1.2%
Other values (120) 122
71.3%
ValueCountFrequency (%)
0.0 10
5.8%
39.28 1
 
0.6%
41.84 1
 
0.6%
47.49 1
 
0.6%
49.16 1
 
0.6%
50.54 1
 
0.6%
54.3 1
 
0.6%
55.84 1
 
0.6%
56.03 1
 
0.6%
56.27 1
 
0.6%
ValueCountFrequency (%)
100.0 18
10.5%
99.98 6
 
3.5%
99.97 1
 
0.6%
99.96 2
 
1.2%
99.94 1
 
0.6%
99.91 1
 
0.6%
99.89 3
 
1.8%
99.88 1
 
0.6%
99.86 1
 
0.6%
99.85 2
 
1.2%

시도집행율
Real number (ℝ)

ZEROS 

Distinct125
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.720058
Minimum0
Maximum100
Zeros10
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:37.043368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.78
median93.75
Q399.85
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)24.07

Descriptive statistics

Standard deviation25.462573
Coefficient of variation (CV)0.30781619
Kurtosis4.0519821
Mean82.720058
Median Absolute Deviation (MAD)6.25
Skewness-2.0837014
Sum14145.13
Variance648.34263
MonotonicityNot monotonic
2023-12-12T21:43:37.208061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 19
 
11.1%
0.0 10
 
5.8%
99.98 7
 
4.1%
99.97 3
 
1.8%
99.8 3
 
1.8%
99.85 3
 
1.8%
99.95 2
 
1.2%
99.99 2
 
1.2%
62.26 2
 
1.2%
84.11 2
 
1.2%
Other values (115) 118
69.0%
ValueCountFrequency (%)
0.0 10
5.8%
39.28 1
 
0.6%
41.84 1
 
0.6%
47.48 1
 
0.6%
49.16 1
 
0.6%
50.52 1
 
0.6%
54.3 1
 
0.6%
55.67 1
 
0.6%
56.02 1
 
0.6%
56.27 1
 
0.6%
ValueCountFrequency (%)
100.0 19
11.1%
99.99 2
 
1.2%
99.98 7
 
4.1%
99.97 3
 
1.8%
99.96 2
 
1.2%
99.95 2
 
1.2%
99.91 1
 
0.6%
99.9 2
 
1.2%
99.89 1
 
0.6%
99.88 2
 
1.2%

시군구집행율
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.975497
Minimum0
Maximum100
Zeros13
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:37.362400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q170.935
median92.2
Q399.605
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)28.67

Descriptive statistics

Standard deviation27.430248
Coefficient of variation (CV)0.34298315
Kurtosis2.9005217
Mean79.975497
Median Absolute Deviation (MAD)7.8
Skewness-1.8722449
Sum13675.81
Variance752.41851
MonotonicityNot monotonic
2023-12-12T21:43:37.526974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 18
 
10.5%
0.0 13
 
7.6%
99.98 5
 
2.9%
99.8 3
 
1.8%
62.26 2
 
1.2%
99.88 2
 
1.2%
99.85 2
 
1.2%
84.12 2
 
1.2%
99.37 1
 
0.6%
75.45 1
 
0.6%
Other values (122) 122
71.3%
ValueCountFrequency (%)
0.0 13
7.6%
39.28 1
 
0.6%
41.85 1
 
0.6%
47.49 1
 
0.6%
49.16 1
 
0.6%
50.54 1
 
0.6%
54.3 1
 
0.6%
55.85 1
 
0.6%
56.03 1
 
0.6%
56.27 1
 
0.6%
ValueCountFrequency (%)
100.0 18
10.5%
99.99 1
 
0.6%
99.98 5
 
2.9%
99.97 1
 
0.6%
99.96 1
 
0.6%
99.93 1
 
0.6%
99.91 1
 
0.6%
99.9 1
 
0.6%
99.89 1
 
0.6%
99.88 2
 
1.2%

농가당한도
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1848538
Minimum0
Maximum6000000
Zeros8
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:37.656707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile900000
Q11000000
median2000000
Q32500000
95-th percentile3000000
Maximum6000000
Range6000000
Interquartile range (IQR)1500000

Descriptive statistics

Standard deviation968100.43
Coefficient of variation (CV)0.5237114
Kurtosis0.77046464
Mean1848538
Median Absolute Deviation (MAD)1000000
Skewness0.52772791
Sum3.161 × 108
Variance9.3721844 × 1011
MonotonicityNot monotonic
2023-12-12T21:43:37.782525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3000000 38
22.2%
1200000 35
20.5%
1000000 33
19.3%
2000000 29
17.0%
2500000 17
9.9%
0 8
 
4.7%
900000 4
 
2.3%
4000000 3
 
1.8%
1400000 2
 
1.2%
2200000 1
 
0.6%
ValueCountFrequency (%)
0 8
 
4.7%
900000 4
 
2.3%
1000000 33
19.3%
1200000 35
20.5%
1400000 2
 
1.2%
2000000 29
17.0%
2200000 1
 
0.6%
2500000 17
9.9%
3000000 38
22.2%
4000000 3
 
1.8%
ValueCountFrequency (%)
6000000 1
 
0.6%
4000000 3
 
1.8%
3000000 38
22.2%
2500000 17
9.9%
2200000 1
 
0.6%
2000000 29
17.0%
1400000 2
 
1.2%
1200000 35
20.5%
1000000 33
19.3%
900000 4
 
2.3%

지원비율
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7076023
Minimum0
Maximum40
Zeros16
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:38.005646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median8
Q310
95-th percentile15
Maximum40
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3530531
Coefficient of variation (CV)0.61475626
Kurtosis8.1858747
Mean8.7076023
Median Absolute Deviation (MAD)3
Skewness1.712006
Sum1489
Variance28.655177
MonotonicityNot monotonic
2023-12-12T21:43:38.165518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8 37
21.6%
5 28
16.4%
15 26
15.2%
10 24
14.0%
9 18
10.5%
0 16
9.4%
6 5
 
2.9%
12 5
 
2.9%
13 4
 
2.3%
3 4
 
2.3%
Other values (3) 4
 
2.3%
ValueCountFrequency (%)
0 16
9.4%
3 4
 
2.3%
5 28
16.4%
6 5
 
2.9%
7 1
 
0.6%
8 37
21.6%
9 18
10.5%
10 24
14.0%
12 5
 
2.9%
13 4
 
2.3%
ValueCountFrequency (%)
40 1
 
0.6%
30 2
 
1.2%
15 26
15.2%
13 4
 
2.3%
12 5
 
2.9%
10 24
14.0%
9 18
10.5%
8 37
21.6%
7 1
 
0.6%
6 5
 
2.9%

최대지원금액
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1848538
Minimum0
Maximum6000000
Zeros8
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:38.313540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile900000
Q11000000
median2000000
Q32500000
95-th percentile3000000
Maximum6000000
Range6000000
Interquartile range (IQR)1500000

Descriptive statistics

Standard deviation968100.43
Coefficient of variation (CV)0.5237114
Kurtosis0.77046464
Mean1848538
Median Absolute Deviation (MAD)1000000
Skewness0.52772791
Sum3.161 × 108
Variance9.3721844 × 1011
MonotonicityNot monotonic
2023-12-12T21:43:38.454382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3000000 38
22.2%
1200000 35
20.5%
1000000 33
19.3%
2000000 29
17.0%
2500000 17
9.9%
0 8
 
4.7%
900000 4
 
2.3%
4000000 3
 
1.8%
1400000 2
 
1.2%
2200000 1
 
0.6%
ValueCountFrequency (%)
0 8
 
4.7%
900000 4
 
2.3%
1000000 33
19.3%
1200000 35
20.5%
1400000 2
 
1.2%
2000000 29
17.0%
2200000 1
 
0.6%
2500000 17
9.9%
3000000 38
22.2%
4000000 3
 
1.8%
ValueCountFrequency (%)
6000000 1
 
0.6%
4000000 3
 
1.8%
3000000 38
22.2%
2500000 17
9.9%
2200000 1
 
0.6%
2000000 29
17.0%
1400000 2
 
1.2%
1200000 35
20.5%
1000000 33
19.3%
900000 4
 
2.3%

시도환급금
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean496849.65
Minimum0
Maximum45334570
Zeros146
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:38.609197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1920905
Maximum45334570
Range45334570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3536691.8
Coefficient of variation (CV)7.1182334
Kurtosis154.41527
Mean496849.65
Median Absolute Deviation (MAD)0
Skewness12.163948
Sum84961290
Variance1.2508189 × 1013
MonotonicityNot monotonic
2023-12-12T21:43:38.759895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 146
85.4%
1132150 1
 
0.6%
570670 1
 
0.6%
98330 1
 
0.6%
2703020 1
 
0.6%
1407350 1
 
0.6%
1724810 1
 
0.6%
1128330 1
 
0.6%
1951350 1
 
0.6%
2664250 1
 
0.6%
Other values (16) 16
 
9.4%
ValueCountFrequency (%)
0 146
85.4%
25600 1
 
0.6%
66910 1
 
0.6%
98330 1
 
0.6%
234490 1
 
0.6%
481800 1
 
0.6%
545500 1
 
0.6%
560940 1
 
0.6%
570670 1
 
0.6%
581830 1
 
0.6%
ValueCountFrequency (%)
45334570 1
0.6%
5873740 1
0.6%
4227620 1
0.6%
3239090 1
0.6%
3113180 1
0.6%
2703020 1
0.6%
2664250 1
0.6%
2145930 1
0.6%
1951350 1
0.6%
1890460 1
0.6%

시군구환급금
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1287412.6
Minimum0
Maximum94142600
Zeros145
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:38.890826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6669850
Maximum94142600
Range94142600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7478134.2
Coefficient of variation (CV)5.8086537
Kurtosis141.88361
Mean1287412.6
Median Absolute Deviation (MAD)0
Skewness11.460572
Sum2.2014756 × 108
Variance5.5922491 × 1013
MonotonicityNot monotonic
2023-12-12T21:43:39.331847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 145
84.8%
53170 1
 
0.6%
1975230 1
 
0.6%
2283440 1
 
0.6%
294940 1
 
0.6%
8095510 1
 
0.6%
4216390 1
 
0.6%
5171460 1
 
0.6%
7495110 1
 
0.6%
5844590 1
 
0.6%
Other values (17) 17
 
9.9%
ValueCountFrequency (%)
0 145
84.8%
53170 1
 
0.6%
200550 1
 
0.6%
294940 1
 
0.6%
809080 1
 
0.6%
1743370 1
 
0.6%
1975230 1
 
0.6%
2283440 1
 
0.6%
2707640 1
 
0.6%
2868610 1
 
0.6%
ValueCountFrequency (%)
94142600 1
0.6%
12754250 1
0.6%
9758800 1
0.6%
9705970 1
0.6%
9326820 1
0.6%
8777160 1
0.6%
8095510 1
0.6%
7983460 1
0.6%
7495110 1
0.6%
5844590 1
0.6%

시도환급금사용액
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241456.37
Minimum0
Maximum15784930
Zeros152
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:39.449956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1262765
Maximum15784930
Range15784930
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1330564.6
Coefficient of variation (CV)5.5105797
Kurtosis111.52772
Mean241456.37
Median Absolute Deviation (MAD)0
Skewness9.8791366
Sum41289040
Variance1.7704022 × 1012
MonotonicityNot monotonic
2023-12-12T21:43:39.569965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 152
88.9%
1400070 1
 
0.6%
37000 1
 
0.6%
2680760 1
 
0.6%
1407350 1
 
0.6%
1698970 1
 
0.6%
1125460 1
 
0.6%
429120 1
 
0.6%
2664240 1
 
0.6%
618730 1
 
0.6%
Other values (10) 10
 
5.8%
ValueCountFrequency (%)
0 152
88.9%
37000 1
 
0.6%
318110 1
 
0.6%
429120 1
 
0.6%
477390 1
 
0.6%
523660 1
 
0.6%
533850 1
 
0.6%
545500 1
 
0.6%
618730 1
 
0.6%
1098930 1
 
0.6%
ValueCountFrequency (%)
15784930 1
0.6%
4738620 1
0.6%
3064580 1
0.6%
2680760 1
0.6%
2664240 1
0.6%
2141770 1
0.6%
1698970 1
0.6%
1407350 1
0.6%
1400070 1
0.6%
1125460 1
0.6%

시군구환급금사용액
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659776.84
Minimum0
Maximum32972610
Zeros153
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:39.683245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4210655
Maximum32972610
Range32972610
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3025228.7
Coefficient of variation (CV)4.5852303
Kurtosis78.444309
Mean659776.84
Median Absolute Deviation (MAD)0
Skewness7.9861337
Sum1.1282184 × 108
Variance9.1520089 × 1012
MonotonicityNot monotonic
2023-12-12T21:43:39.790985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 153
89.5%
32972610 1
 
0.6%
111330 1
 
0.6%
8045230 1
 
0.6%
4216380 1
 
0.6%
5100360 1
 
0.6%
7068410 1
 
0.6%
1296640 1
 
0.6%
7983460 1
 
0.6%
4204930 1
 
0.6%
Other values (9) 9
 
5.3%
ValueCountFrequency (%)
0 153
89.5%
111330 1
 
0.6%
956160 1
 
0.6%
1296640 1
 
0.6%
1601590 1
 
0.6%
2339600 1
 
0.6%
2805530 1
 
0.6%
3301480 1
 
0.6%
4092980 1
 
0.6%
4204930 1
 
0.6%
ValueCountFrequency (%)
32972610 1
0.6%
11832950 1
0.6%
9194170 1
0.6%
8045230 1
0.6%
7983460 1
0.6%
7068410 1
0.6%
5698030 1
0.6%
5100360 1
0.6%
4216380 1
0.6%
4204930 1
0.6%

시도환급금잔액
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255393.27
Minimum0
Maximum29549640
Zeros148
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:39.916817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile464275
Maximum29549640
Range29549640
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2292116.2
Coefficient of variation (CV)8.9748496
Kurtosis159.58396
Mean255393.27
Median Absolute Deviation (MAD)0
Skewness12.46095
Sum43672250
Variance5.2537969 × 1012
MonotonicityNot monotonic
2023-12-12T21:43:40.044502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 148
86.5%
814040 1
 
0.6%
570670 1
 
0.6%
61330 1
 
0.6%
22260 1
 
0.6%
25840 1
 
0.6%
2870 1
 
0.6%
1522230 1
 
0.6%
10 1
 
0.6%
1271730 1
 
0.6%
Other values (14) 14
 
8.2%
ValueCountFrequency (%)
0 148
86.5%
10 1
 
0.6%
2870 1
 
0.6%
4160 1
 
0.6%
4410 1
 
0.6%
22260 1
 
0.6%
25600 1
 
0.6%
25840 1
 
0.6%
37280 1
 
0.6%
47980 1
 
0.6%
ValueCountFrequency (%)
29549640 1
0.6%
4227620 1
0.6%
2140160 1
0.6%
1522230 1
0.6%
1501420 1
0.6%
1271730 1
0.6%
1135120 1
0.6%
814040 1
0.6%
570670 1
0.6%
357880 1
0.6%

시군구환급금잔액
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean627635.79
Minimum0
Maximum61169990
Zeros146
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:43:40.164960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1520740
Maximum61169990
Range61169990
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4823744.6
Coefficient of variation (CV)7.6855793
Kurtosis148.30543
Mean627635.79
Median Absolute Deviation (MAD)0
Skewness11.854457
Sum1.0732572 × 108
Variance2.3268512 × 1013
MonotonicityNot monotonic
2023-12-12T21:43:40.283271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 146
85.4%
2437030 1
 
0.6%
1975230 1
 
0.6%
2283440 1
 
0.6%
183610 1
 
0.6%
50280 1
 
0.6%
10 1
 
0.6%
71100 1
 
0.6%
426700 1
 
0.6%
4547950 1
 
0.6%
Other values (16) 16
 
9.4%
ValueCountFrequency (%)
0 146
85.4%
10 1
 
0.6%
340 1
 
0.6%
50280 1
 
0.6%
53170 1
 
0.6%
63080 1
 
0.6%
71100 1
 
0.6%
87340 1
 
0.6%
132650 1
 
0.6%
141780 1
 
0.6%
ValueCountFrequency (%)
61169990 1
0.6%
9758800 1
0.6%
8777160 1
0.6%
6404490 1
0.6%
5396350 1
0.6%
4547950 1
0.6%
2437030 1
0.6%
2283440 1
0.6%
1975230 1
0.6%
1066250 1
0.6%

Sample

시도시군구법정동코드연도총 예산액시도예산액시군구예산액총 사용액시도사용액시군구사용액총 잔액시도 잔액시군구 잔액총집행율시도집행율시군구집행율농가당한도지원비율최대지원금액시도환급금시군구환급금시도환급금사용액시군구환급금사용액시도환급금잔액시군구환급금잔액
0부산광역시북구263200000020223280001640001640001997009985099850128300641506415060.8860.8860.880150000000
1부산광역시해운대구263500000020222200001100001100000002200001100001100000.00.00.00150000000
2부산광역시금정구264100000020225680002840002840000005680002840002840000.00.00.00150000000
3부산광역시강서구264400000020224400002200002200000004400002200002200000.00.00.00150000000
4부산광역시연제구264700000020220000000000.00.00.00150000000
5부산광역시사상구26530000002022176000880008800000017600088000880000.00.00.00150000000
6부산광역시기장군267100000020222980000149000014900001465000732500732500151500075750075750049.1649.1649.160150000000
7대구광역시달성군2771000000202215600000026000000130000000141371020235583601178126601462898024416401218734090.6290.6190.63200000052000000000000
8인천광역시중구281100000020222730000136500013650000002730000136500013650000.00.00.03000000153000000000000
9인천광역시계양구2824500000202280000004000000400000031426401571320157132048573602428680242868039.2839.2839.283000000153000000000000
시도시군구법정동코드연도총 예산액시도예산액시군구예산액총 사용액시도사용액시군구사용액총 잔액시도 잔액시군구 잔액총집행율시도집행율시군구집행율농가당한도지원비율최대지원금액시도환급금시군구환급금시도환급금사용액시군구환급금사용액시도환급금잔액시군구환급금잔액
161강원특별자치도횡성군51730000002022232800000698400001629600001958145505874005013707450036985450110999502588550084.1184.1184.12250000092500000000000
162강원특별자치도영월군5175000000202213020000039060000911400001193040003578628083517720108960003273720762228091.6391.6291.64250000092500000000000
163강원특별자치도평창군5176000000202211700000035100000819000008685967026053340608063303014033090466602109367074.2474.2374.24250000092500000000000
164강원특별자치도정선군5177000000202215000000045000000105000000116489580349407308154885033510420100592702345115077.6677.6577.67250000092500000000000
165강원특별자치도철원군5178000000202227780000083340000194460000249709030749117401747972902809097084282601966271089.8989.8989.89250000092500000000000
166강원특별자치도화천군51790000002022130200000390600009114000010333399030999300723346902686601080607001880531079.3779.3679.37250000092500000000000
167강원특별자치도양구군518000000020228250000024750000577500006624328019871570463717101625672048784301137829080.2980.2980.3250000092500000000000
168강원특별자치도인제군518100000020221200000002475000095250000107016800247241908229261012983200258101295739089.1899.986.4250000002500000000000
169강원특별자치도고성군5182000000202210020000030060000701400008468337025403000592803701551663046570001085963084.5184.5184.52250000092500000000000
170강원특별자치도양양군51830000002022160200000480600001121400001539249304617370010775123062750701886300438877096.0896.0896.09250000092500000000000