Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells17962
Missing cells (%)8.6%
Duplicate rows672
Duplicate rows (%)6.7%
Total size in memory1.8 MiB
Average record size in memory189.0 B

Variable types

Numeric12
Categorical6
Text2
Boolean1

Dataset

Description경기도_급식비 집행 실적_부담 주체 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=3V500LDGW77W1Z9MIPT723378357&infSeq=2

Alerts

Dataset has 672 (6.7%) duplicate rowsDuplicates
설립구분명 is highly imbalanced (69.6%)Imbalance
제외여부 is highly imbalanced (90.6%)Imbalance
합계비율(%) is highly imbalanced (95.4%)Imbalance
제외사유 has 9879 (98.8%) missing valuesMissing
교육청금액(천원) has 121 (1.2%) missing valuesMissing
교육청비율(%) has 121 (1.2%) missing valuesMissing
자치단체금액(천원) has 121 (1.2%) missing valuesMissing
자치단체비율(%) has 121 (1.2%) missing valuesMissing
학교금액(천원) has 3497 (35.0%) missing valuesMissing
학교비율(%) has 3497 (35.0%) missing valuesMissing
보호자금액(천원) has 121 (1.2%) missing valuesMissing
보호자비율(%) has 121 (1.2%) missing valuesMissing
기타금액(천원) has 121 (1.2%) missing valuesMissing
기타비율(%) has 121 (1.2%) missing valuesMissing
합계금액(천원) has 121 (1.2%) missing valuesMissing
교육청금액(천원) is highly skewed (γ1 = 95.75782416)Skewed
자치단체금액(천원) is highly skewed (γ1 = 99.15136964)Skewed
학교금액(천원) is highly skewed (γ1 = 32.20387293)Skewed
합계금액(천원) is highly skewed (γ1 = 98.40379713)Skewed
자치단체금액(천원) has 2088 (20.9%) zerosZeros
자치단체비율(%) has 2156 (21.6%) zerosZeros
학교금액(천원) has 3352 (33.5%) zerosZeros
학교비율(%) has 3399 (34.0%) zerosZeros
보호자금액(천원) has 2396 (24.0%) zerosZeros
보호자비율(%) has 2397 (24.0%) zerosZeros
기타금액(천원) has 7252 (72.5%) zerosZeros
기타비율(%) has 7466 (74.7%) zerosZeros

Reproduction

Analysis started2023-12-10 21:57:14.103464
Analysis finished2023-12-10 21:57:14.681736
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.4671
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:14.727213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2018
Q32019
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6018658
Coefficient of variation (CV)0.0007939985
Kurtosis-1.2176031
Mean2017.4671
Median Absolute Deviation (MAD)1
Skewness-0.12653656
Sum20174671
Variance2.5659742
MonotonicityNot monotonic
2023-12-11T06:57:14.818608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 2512
25.1%
2018 1744
17.4%
2017 1642
16.4%
2016 1617
16.2%
2015 1587
15.9%
2020 898
 
9.0%
ValueCountFrequency (%)
2015 1587
15.9%
2016 1617
16.2%
2017 1642
16.4%
2018 1744
17.4%
2019 2512
25.1%
2020 898
 
9.0%
ValueCountFrequency (%)
2020 898
 
9.0%
2019 2512
25.1%
2018 1744
17.4%
2017 1642
16.4%
2016 1617
16.2%
2015 1587
15.9%

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
839 
용인시
759 
성남시
676 
고양시
 
641
화성시
 
637
Other values (26)
6448 

Length

Max length4
Median length3
Mean length3.0865
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부천시
2nd row안양시
3rd row고양시
4th row수원시
5th row수원시

Common Values

ValueCountFrequency (%)
수원시 839
 
8.4%
용인시 759
 
7.6%
성남시 676
 
6.8%
고양시 641
 
6.4%
화성시 637
 
6.4%
부천시 541
 
5.4%
남양주시 477
 
4.8%
안산시 454
 
4.5%
평택시 446
 
4.5%
파주시 443
 
4.4%
Other values (21) 4087
40.9%

Length

2023-12-11T06:57:14.923978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 839
 
8.4%
용인시 759
 
7.6%
성남시 676
 
6.8%
고양시 641
 
6.4%
화성시 637
 
6.4%
부천시 541
 
5.4%
남양주시 477
 
4.8%
안산시 454
 
4.5%
평택시 446
 
4.5%
파주시 443
 
4.4%
Other values (21) 4087
40.9%

지역교육청명
Categorical

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2103 
경기도화성오산교육지원청
676 
경기도수원교육지원청
633 
경기도용인교육지원청
627 
경기도성남교육지원청
 
502
Other values (22)
5459 

Length

Max length13
Median length10
Mean length9.6842
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도부천교육지원청
2nd row경기도안양과천교육지원청
3rd row경기도고양교육지원청
4th row경기도수원교육지원청
5th row경기도수원교육지원청

Common Values

ValueCountFrequency (%)
경기도교육청 2103
21.0%
경기도화성오산교육지원청 676
 
6.8%
경기도수원교육지원청 633
 
6.3%
경기도용인교육지원청 627
 
6.3%
경기도성남교육지원청 502
 
5.0%
경기도고양교육지원청 488
 
4.9%
경기도구리남양주교육지원청 484
 
4.8%
경기도부천교육지원청 422
 
4.2%
경기도파주교육지원청 362
 
3.6%
경기도평택교육지원청 351
 
3.5%
Other values (17) 3352
33.5%

Length

2023-12-11T06:57:15.017611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2103
21.0%
경기도화성오산교육지원청 676
 
6.8%
경기도수원교육지원청 633
 
6.3%
경기도용인교육지원청 627
 
6.3%
경기도성남교육지원청 502
 
5.0%
경기도고양교육지원청 488
 
4.9%
경기도구리남양주교육지원청 484
 
4.8%
경기도부천교육지원청 422
 
4.2%
경기도파주교육지원청 362
 
3.6%
경기도평택교육지원청 351
 
3.5%
Other values (17) 3352
33.5%

지역명
Categorical

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 화성시
 
637
경기도 부천시
 
541
경기도 남양주시
 
477
경기도 평택시
 
446
경기도 파주시
 
443
Other values (37)
7456 

Length

Max length12
Median length7
Mean length8.6048
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 부천시
2nd row경기도 안양시 동안구
3rd row경기도 고양시 덕양구
4th row경기도 수원시 영통구
5th row경기도 수원시 영통구

Common Values

ValueCountFrequency (%)
경기도 화성시 637
 
6.4%
경기도 부천시 541
 
5.4%
경기도 남양주시 477
 
4.8%
경기도 평택시 446
 
4.5%
경기도 파주시 443
 
4.4%
경기도 성남시 분당구 366
 
3.7%
경기도 시흥시 337
 
3.4%
경기도 김포시 329
 
3.3%
경기도 용인시 기흥구 314
 
3.1%
경기도 의정부시 293
 
2.9%
Other values (32) 5817
58.2%

Length

2023-12-11T06:57:15.115116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 10000
42.2%
수원시 839
 
3.5%
용인시 759
 
3.2%
성남시 676
 
2.9%
고양시 641
 
2.7%
화성시 637
 
2.7%
부천시 541
 
2.3%
남양주시 477
 
2.0%
안산시 454
 
1.9%
평택시 446
 
1.9%
Other values (39) 8234
34.7%

학교명
Text

Distinct2465
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:57:15.326202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.2556
Min length4

Characters and Unicode

Total characters62556
Distinct characters336
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)1.4%

Sample

1st row상동초등학교
2nd row대안중학교
3rd row무원초등학교
4th row연무중학교
5th row영일중학교
ValueCountFrequency (%)
탑동초등학교 13
 
0.1%
상원초등학교 12
 
0.1%
삼성초등학교 10
 
0.1%
남한중학교 10
 
0.1%
덕현고등학교 9
 
0.1%
조종중학교 9
 
0.1%
율전초등학교 9
 
0.1%
고강초등학교 9
 
0.1%
심원중학교 8
 
0.1%
화홍고등학교 8
 
0.1%
Other values (2456) 9907
99.0%
2023-12-11T06:57:15.923653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10229
16.4%
학 10154
16.2%
등 7252
 
11.6%
초 5303
 
8.5%
중 2857
 
4.6%
고 2213
 
3.5%
양 634
 
1.0%
원 620
 
1.0%
동 596
 
1.0%
산 589
 
0.9%
Other values (326) 22109
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62479
99.9%
Lowercase Letter 56
 
0.1%
Uppercase Letter 16
 
< 0.1%
Space Separator 4
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10229
16.4%
학 10154
16.3%
등 7252
 
11.6%
초 5303
 
8.5%
중 2857
 
4.6%
고 2213
 
3.5%
양 634
 
1.0%
원 620
 
1.0%
동 596
 
1.0%
산 589
 
0.9%
Other values (312) 22032
35.3%
Lowercase Letter
ValueCountFrequency (%)
s 16
28.6%
i 8
14.3%
n 8
14.3%
e 8
14.3%
u 4
 
7.1%
g 4
 
7.1%
l 4
 
7.1%
h 4
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
T 4
25.0%
B 4
25.0%
E 4
25.0%
I 4
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62479
99.9%
Latin 72
 
0.1%
Common 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10229
16.4%
학 10154
16.3%
등 7252
 
11.6%
초 5303
 
8.5%
중 2857
 
4.6%
고 2213
 
3.5%
양 634
 
1.0%
원 620
 
1.0%
동 596
 
1.0%
산 589
 
0.9%
Other values (312) 22032
35.3%
Latin
ValueCountFrequency (%)
s 16
22.2%
i 8
11.1%
n 8
11.1%
e 8
11.1%
u 4
 
5.6%
T 4
 
5.6%
B 4
 
5.6%
E 4
 
5.6%
g 4
 
5.6%
I 4
 
5.6%
Other values (2) 8
11.1%
Common
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62479
99.9%
ASCII 77
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10229
16.4%
학 10154
16.3%
등 7252
 
11.6%
초 5303
 
8.5%
중 2857
 
4.6%
고 2213
 
3.5%
양 634
 
1.0%
원 620
 
1.0%
동 596
 
1.0%
산 589
 
0.9%
Other values (312) 22032
35.3%
ASCII
ValueCountFrequency (%)
s 16
20.8%
i 8
10.4%
n 8
10.4%
e 8
10.4%
u 4
 
5.2%
T 4
 
5.2%
B 4
 
5.2%
E 4
 
5.2%
g 4
 
5.2%
I 4
 
5.2%
Other values (4) 13
16.9%

학교급명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6716 
초등학교
1718 
중학교
855 
고등학교
 
661
특수학교
 
42
Other values (2)
 
8

Length

Max length4
Median length4
Mean length3.9137
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6716
67.2%
초등학교 1718
 
17.2%
중학교 855
 
8.6%
고등학교 661
 
6.6%
특수학교 42
 
0.4%
방통고 5
 
0.1%
방통중 3
 
< 0.1%

Length

2023-12-11T06:57:16.038926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:16.133894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6716
67.2%
초등학교 1718
 
17.2%
중학교 855
 
8.6%
고등학교 661
 
6.6%
특수학교 42
 
0.4%
방통고 5
 
< 0.1%
방통중 3
 
< 0.1%

설립구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
8984 
사립
1006 
국립
 
10

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 8984
89.8%
사립 1006
 
10.1%
국립 10
 
0.1%

Length

2023-12-11T06:57:16.238594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:16.317987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 8984
89.8%
사립 1006
 
10.1%
국립 10
 
0.1%

제외여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9879 
True
 
121
ValueCountFrequency (%)
False 9879
98.8%
True 121
 
1.2%
2023-12-11T06:57:16.393582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제외사유
Text

MISSING 

Distinct82
Distinct (%)67.8%
Missing9879
Missing (%)98.8%
Memory size156.2 KiB
2023-12-11T06:57:16.604457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length19.793388
Min length4

Characters and Unicode

Total characters2395
Distinct characters129
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

Unique60 ?
Unique (%)49.6%

Sample

1st row신설학교이므로 전년도 자료가 없음
2nd row방송통신고등학교로 급식을 실시하지 않음.
3rd row신설학교로 전년도 실적없음
4th row2019.3.1 개교
5th row방송통신고
ValueCountFrequency (%)
없음 52
 
10.3%
전년도 36
 
7.1%
신설학교이므로 27
 
5.3%
자료가 20
 
4.0%
자료 14
 
2.8%
신설학교로 13
 
2.6%
급식을 12
 
2.4%
실시하지 12
 
2.4%
본교는 10
 
2.0%
제외함 9
 
1.8%
Other values (139) 300
59.4%
2023-12-11T06:57:17.013841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
 
16.2%
교 112
 
4.7%
로 86
 
3.6%
학 84
 
3.5%
없 77
 
3.2%
신 76
 
3.2%
년 75
 
3.1%
음 75
 
3.1%
1 73
 
3.0%
설 68
 
2.8%
Other values (119) 1282
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1648
68.8%
Space Separator 387
 
16.2%
Decimal Number 274
 
11.4%
Other Punctuation 70
 
2.9%
Close Punctuation 8
 
0.3%
Open Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 112
 
6.8%
로 86
 
5.2%
학 84
 
5.1%
없 77
 
4.7%
신 76
 
4.6%
년 75
 
4.6%
음 75
 
4.6%
설 68
 
4.1%
도 55
 
3.3%
이 49
 
3.0%
Other values (103) 891
54.1%
Decimal Number
ValueCountFrequency (%)
1 73
26.6%
0 67
24.5%
2 57
20.8%
3 20
 
7.3%
5 19
 
6.9%
6 16
 
5.8%
7 9
 
3.3%
8 6
 
2.2%
9 4
 
1.5%
4 3
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 68
97.1%
, 1
 
1.4%
: 1
 
1.4%
Space Separator
ValueCountFrequency (%)
387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1648
68.8%
Common 747
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 112
 
6.8%
로 86
 
5.2%
학 84
 
5.1%
없 77
 
4.7%
신 76
 
4.6%
년 75
 
4.6%
음 75
 
4.6%
설 68
 
4.1%
도 55
 
3.3%
이 49
 
3.0%
Other values (103) 891
54.1%
Common
ValueCountFrequency (%)
387
51.8%
1 73
 
9.8%
. 68
 
9.1%
0 67
 
9.0%
2 57
 
7.6%
3 20
 
2.7%
5 19
 
2.5%
6 16
 
2.1%
7 9
 
1.2%
) 8
 
1.1%
Other values (6) 23
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1648
68.8%
ASCII 747
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
387
51.8%
1 73
 
9.8%
. 68
 
9.1%
0 67
 
9.0%
2 57
 
7.6%
3 20
 
2.7%
5 19
 
2.5%
6 16
 
2.1%
7 9
 
1.2%
) 8
 
1.1%
Other values (6) 23
 
3.1%
Hangul
ValueCountFrequency (%)
교 112
 
6.8%
로 86
 
5.2%
학 84
 
5.1%
없 77
 
4.7%
신 76
 
4.6%
년 75
 
4.6%
음 75
 
4.6%
설 68
 
4.1%
도 55
 
3.3%
이 49
 
3.0%
Other values (103) 891
54.1%

교육청금액(천원)
Real number (ℝ)

MISSING  SKEWED 

Distinct7905
Distinct (%)80.0%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean296651.1
Minimum0
Maximum1.39197 × 108
Zeros42
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:17.141328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35971.8
Q1146841
median263814
Q3377601.5
95-th percentile596143
Maximum1.39197 × 108
Range1.39197 × 108
Interquartile range (IQR)230760.5

Descriptive statistics

Standard deviation1415260.9
Coefficient of variation (CV)4.7707926
Kurtosis9395.725
Mean296651.1
Median Absolute Deviation (MAD)115338
Skewness95.757824
Sum2.9306162 × 109
Variance2.0029634 × 1012
MonotonicityNot monotonic
2023-12-11T06:57:17.259839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
0.4%
44331 15
 
0.1%
59923 4
 
< 0.1%
59997 4
 
< 0.1%
90798 4
 
< 0.1%
42704 4
 
< 0.1%
27047 4
 
< 0.1%
51546 4
 
< 0.1%
476611 4
 
< 0.1%
428463 4
 
< 0.1%
Other values (7895) 9790
97.9%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0 42
0.4%
550 1
 
< 0.1%
710 1
 
< 0.1%
960 1
 
< 0.1%
1280 2
 
< 0.1%
1330 1
 
< 0.1%
1385 1
 
< 0.1%
1600 2
 
< 0.1%
1700 1
 
< 0.1%
1771 1
 
< 0.1%
ValueCountFrequency (%)
139197000 1
< 0.1%
7506410 2
< 0.1%
3831446 1
< 0.1%
3720410 1
< 0.1%
2546167 1
< 0.1%
2477852 1
< 0.1%
2433390 1
< 0.1%
2267124 1
< 0.1%
2078779 1
< 0.1%
2009624 2
< 0.1%

교육청비율(%)
Real number (ℝ)

MISSING 

Distinct975
Distinct (%)9.9%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean58.13056
Minimum0
Maximum100
Zeros42
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:17.376609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.2
Q149.8
median59
Q371.1
95-th percentile96.3
Maximum100
Range100
Interquartile range (IQR)21.3

Descriptive statistics

Standard deviation23.841846
Coefficient of variation (CV)0.41014306
Kurtosis-0.099289917
Mean58.13056
Median Absolute Deviation (MAD)11
Skewness-0.41975902
Sum574271.8
Variance568.4336
MonotonicityNot monotonic
2023-12-11T06:57:17.491549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 319
 
3.2%
50.0 147
 
1.5%
58.9 76
 
0.8%
58.5 46
 
0.5%
56.4 44
 
0.4%
0.0 42
 
0.4%
58.2 42
 
0.4%
56.5 41
 
0.4%
60.0 41
 
0.4%
58.4 40
 
0.4%
Other values (965) 9041
90.4%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0.0 42
0.4%
0.1 1
 
< 0.1%
0.4 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 2
 
< 0.1%
1.2 1
 
< 0.1%
1.3 1
 
< 0.1%
1.4 2
 
< 0.1%
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
ValueCountFrequency (%)
100.0 319
3.2%
99.9 3
 
< 0.1%
99.8 7
 
0.1%
99.7 2
 
< 0.1%
99.6 4
 
< 0.1%
99.5 2
 
< 0.1%
99.4 3
 
< 0.1%
99.3 2
 
< 0.1%
99.2 3
 
< 0.1%
99.1 3
 
< 0.1%

자치단체금액(천원)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6228
Distinct (%)63.0%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean161288.34
Minimum0
Maximum3.28584 × 108
Zeros2088
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:17.603964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14512.5
median118611
Q3208935
95-th percentile337141.2
Maximum3.28584 × 108
Range3.28584 × 108
Interquartile range (IQR)204422.5

Descriptive statistics

Standard deviation3307300
Coefficient of variation (CV)20.505512
Kurtosis9846.9289
Mean161288.34
Median Absolute Deviation (MAD)106334
Skewness99.15137
Sum1.5933675 × 109
Variance1.0938233 × 1013
MonotonicityNot monotonic
2023-12-11T06:57:17.722078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2088
 
20.9%
376 5
 
0.1%
4051 5
 
0.1%
22295 5
 
0.1%
70196 4
 
< 0.1%
1600 4
 
< 0.1%
20650 4
 
< 0.1%
249860 4
 
< 0.1%
4156 4
 
< 0.1%
206861 4
 
< 0.1%
Other values (6218) 7752
77.5%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0 2088
20.9%
8 2
 
< 0.1%
20 1
 
< 0.1%
23 1
 
< 0.1%
35 1
 
< 0.1%
36 2
 
< 0.1%
43 1
 
< 0.1%
46 1
 
< 0.1%
57 2
 
< 0.1%
64 1
 
< 0.1%
ValueCountFrequency (%)
328584000 1
< 0.1%
3626560 1
< 0.1%
3016410 1
< 0.1%
2302863 1
< 0.1%
1675170 1
< 0.1%
1529480 1
< 0.1%
1254002 1
< 0.1%
1120759 1
< 0.1%
1080010 1
< 0.1%
1012050 2
< 0.1%

자치단체비율(%)
Real number (ℝ)

MISSING  ZEROS 

Distinct594
Distinct (%)6.0%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean22.99504
Minimum0
Maximum100
Zeros2156
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:17.866338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2
median27.8
Q336.8
95-th percentile46.5
Maximum100
Range100
Interquartile range (IQR)35.6

Descriptive statistics

Standard deviation17.395159
Coefficient of variation (CV)0.75647441
Kurtosis-1.0113956
Mean22.99504
Median Absolute Deviation (MAD)12.8
Skewness-0.060602559
Sum227168
Variance302.59157
MonotonicityNot monotonic
2023-12-11T06:57:17.980986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2156
 
21.6%
50.0 137
 
1.4%
41.1 60
 
0.6%
40.0 57
 
0.6%
36.5 48
 
0.5%
32.8 47
 
0.5%
35.5 47
 
0.5%
33.6 44
 
0.4%
32.7 43
 
0.4%
35.4 43
 
0.4%
Other values (584) 7197
72.0%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0.0 2156
21.6%
0.1 39
 
0.4%
0.2 21
 
0.2%
0.3 13
 
0.1%
0.4 14
 
0.1%
0.5 28
 
0.3%
0.6 31
 
0.3%
0.7 28
 
0.3%
0.8 28
 
0.3%
0.9 34
 
0.3%
ValueCountFrequency (%)
100.0 1
< 0.1%
90.9 2
< 0.1%
89.5 1
< 0.1%
89.3 1
< 0.1%
88.5 2
< 0.1%
88.3 1
< 0.1%
86.0 2
< 0.1%
84.6 1
< 0.1%
84.1 1
< 0.1%
83.8 1
< 0.1%

학교금액(천원)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2247
Distinct (%)34.6%
Missing3497
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean5426.8249
Minimum0
Maximum1677980
Zeros3352
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:18.112076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35059.5
95-th percentile18994.7
Maximum1677980
Range1677980
Interquartile range (IQR)5059.5

Descriptive statistics

Standard deviation31093.274
Coefficient of variation (CV)5.7295518
Kurtosis1442.7275
Mean5426.8249
Median Absolute Deviation (MAD)0
Skewness32.203873
Sum35290642
Variance9.6679168 × 108
MonotonicityNot monotonic
2023-12-11T06:57:18.232740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3352
33.5%
2000 45
 
0.4%
3000 44
 
0.4%
1000 42
 
0.4%
4000 18
 
0.2%
500 16
 
0.2%
5000 14
 
0.1%
2500 9
 
0.1%
10000 7
 
0.1%
3200 6
 
0.1%
Other values (2237) 2950
29.5%
(Missing) 3497
35.0%
ValueCountFrequency (%)
0 3352
33.5%
2 1
 
< 0.1%
7 1
 
< 0.1%
18 1
 
< 0.1%
34 2
 
< 0.1%
44 2
 
< 0.1%
45 1
 
< 0.1%
49 2
 
< 0.1%
68 1
 
< 0.1%
77 1
 
< 0.1%
ValueCountFrequency (%)
1677980 1
< 0.1%
789010 1
< 0.1%
658379 1
< 0.1%
576846 2
< 0.1%
450121 2
< 0.1%
419247 2
< 0.1%
373911 1
< 0.1%
336044 1
< 0.1%
246590 1
< 0.1%
232630 1
< 0.1%

학교비율(%)
Real number (ℝ)

MISSING  ZEROS 

Distinct190
Distinct (%)2.9%
Missing3497
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean1.2381209
Minimum0
Maximum100
Zeros3399
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:18.368650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.9
95-th percentile5.4
Maximum100
Range100
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation4.324334
Coefficient of variation (CV)3.492659
Kurtosis167.67712
Mean1.2381209
Median Absolute Deviation (MAD)0
Skewness10.858545
Sum8051.5
Variance18.699865
MonotonicityNot monotonic
2023-12-11T06:57:18.536629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3399
34.0%
0.2 208
 
2.1%
0.4 179
 
1.8%
0.5 177
 
1.8%
0.7 171
 
1.7%
0.8 170
 
1.7%
0.3 169
 
1.7%
0.6 162
 
1.6%
0.9 145
 
1.5%
1.0 113
 
1.1%
Other values (180) 1610
16.1%
(Missing) 3497
35.0%
ValueCountFrequency (%)
0.0 3399
34.0%
0.1 108
 
1.1%
0.2 208
 
2.1%
0.3 169
 
1.7%
0.4 179
 
1.8%
0.5 177
 
1.8%
0.6 162
 
1.6%
0.7 171
 
1.7%
0.8 170
 
1.7%
0.9 145
 
1.5%
ValueCountFrequency (%)
100.0 1
< 0.1%
84.9 1
< 0.1%
84.0 1
< 0.1%
75.4 2
< 0.1%
74.9 2
< 0.1%
65.7 1
< 0.1%
58.1 1
< 0.1%
47.4 2
< 0.1%
47.3 1
< 0.1%
45.7 1
< 0.1%

보호자금액(천원)
Real number (ℝ)

MISSING  ZEROS 

Distinct5889
Distinct (%)59.6%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean135740.05
Minimum0
Maximum9457000
Zeros2396
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:18.697409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11296.5
median21920
Q346839
95-th percentile766798.4
Maximum9457000
Range9457000
Interquartile range (IQR)45542.5

Descriptive statistics

Standard deviation329881.64
Coefficient of variation (CV)2.4302455
Kurtosis155.72304
Mean135740.05
Median Absolute Deviation (MAD)21920
Skewness8.0482505
Sum1.3409759 × 109
Variance1.088219 × 1011
MonotonicityNot monotonic
2023-12-11T06:57:18.820539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2396
 
24.0%
26734 5
 
0.1%
3448 5
 
0.1%
9758 4
 
< 0.1%
18219 4
 
< 0.1%
14719 4
 
< 0.1%
13035 4
 
< 0.1%
7564 4
 
< 0.1%
388273 4
 
< 0.1%
22711 4
 
< 0.1%
Other values (5879) 7445
74.5%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0 2396
24.0%
60 1
 
< 0.1%
70 1
 
< 0.1%
81 1
 
< 0.1%
119 2
 
< 0.1%
174 1
 
< 0.1%
240 1
 
< 0.1%
258 2
 
< 0.1%
297 1
 
< 0.1%
302 2
 
< 0.1%
ValueCountFrequency (%)
9457000 1
< 0.1%
8440640 1
< 0.1%
7679850 1
< 0.1%
6690020 1
< 0.1%
3552951 1
< 0.1%
3445226 1
< 0.1%
3102500 1
< 0.1%
2368730 2
< 0.1%
2351010 1
< 0.1%
2255475 2
< 0.1%

보호자비율(%)
Real number (ℝ)

MISSING  ZEROS 

Distinct807
Distinct (%)8.2%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean16.605861
Minimum0
Maximum100
Zeros2397
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:18.974862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.85
median4.5
Q38.4
95-th percentile85.71
Maximum100
Range100
Interquartile range (IQR)7.55

Descriptive statistics

Standard deviation27.964067
Coefficient of variation (CV)1.6839878
Kurtosis1.5957456
Mean16.605861
Median Absolute Deviation (MAD)3.8
Skewness1.795354
Sum164049.3
Variance781.98907
MonotonicityNot monotonic
2023-12-11T06:57:19.135266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2397
 
24.0%
4.1 146
 
1.5%
4.6 144
 
1.4%
3.9 141
 
1.4%
3.8 138
 
1.4%
4.2 128
 
1.3%
4.5 127
 
1.3%
3.7 126
 
1.3%
4.3 125
 
1.2%
5.2 121
 
1.2%
Other values (797) 6286
62.9%
ValueCountFrequency (%)
0.0 2397
24.0%
0.1 7
 
0.1%
0.2 10
 
0.1%
0.3 12
 
0.1%
0.4 9
 
0.1%
0.5 2
 
< 0.1%
0.6 11
 
0.1%
0.7 11
 
0.1%
0.8 11
 
0.1%
0.9 9
 
0.1%
ValueCountFrequency (%)
100.0 9
0.1%
99.9 1
 
< 0.1%
99.8 1
 
< 0.1%
99.7 1
 
< 0.1%
99.6 1
 
< 0.1%
99.5 1
 
< 0.1%
99.4 1
 
< 0.1%
98.2 3
 
< 0.1%
98.1 1
 
< 0.1%
97.8 3
 
< 0.1%

기타금액(천원)
Real number (ℝ)

MISSING  ZEROS 

Distinct1942
Distinct (%)19.7%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean7083.3549
Minimum0
Maximum1815000
Zeros7252
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:19.322922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3156
95-th percentile33732.7
Maximum1815000
Range1815000
Interquartile range (IQR)156

Descriptive statistics

Standard deviation48132.657
Coefficient of variation (CV)6.795178
Kurtosis503.49591
Mean7083.3549
Median Absolute Deviation (MAD)0
Skewness19.824998
Sum69976463
Variance2.3167527 × 109
MonotonicityNot monotonic
2023-12-11T06:57:19.454701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7252
72.5%
1 23
 
0.2%
412 12
 
0.1%
5700 7
 
0.1%
3000 6
 
0.1%
609 5
 
0.1%
30 5
 
0.1%
717 4
 
< 0.1%
5000 4
 
< 0.1%
40 4
 
< 0.1%
Other values (1932) 2557
 
25.6%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0 7252
72.5%
1 23
 
0.2%
2 4
 
< 0.1%
3 4
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
11 3
 
< 0.1%
13 2
 
< 0.1%
ValueCountFrequency (%)
1815000 1
< 0.1%
1283988 1
< 0.1%
1201978 1
< 0.1%
1201531 2
< 0.1%
1180136 1
< 0.1%
994843 1
< 0.1%
994489 1
< 0.1%
984637 1
< 0.1%
888197 1
< 0.1%
821057 2
< 0.1%

기타비율(%)
Real number (ℝ)

MISSING  ZEROS 

Distinct249
Distinct (%)2.5%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean1.3287276
Minimum0
Maximum100
Zeros7466
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:19.580342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.1
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.625616
Coefficient of variation (CV)4.2338369
Kurtosis110.40924
Mean1.3287276
Median Absolute Deviation (MAD)0
Skewness9.0978568
Sum13126.5
Variance31.647555
MonotonicityNot monotonic
2023-12-11T06:57:19.699877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7466
74.7%
0.1 275
 
2.8%
0.2 156
 
1.6%
0.3 97
 
1.0%
0.5 94
 
0.9%
0.4 89
 
0.9%
0.6 76
 
0.8%
0.7 64
 
0.6%
0.9 61
 
0.6%
0.8 51
 
0.5%
Other values (239) 1450
 
14.5%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0.0 7466
74.7%
0.1 275
 
2.8%
0.2 156
 
1.6%
0.3 97
 
1.0%
0.4 89
 
0.9%
0.5 94
 
0.9%
0.6 76
 
0.8%
0.7 64
 
0.6%
0.8 51
 
0.5%
0.9 61
 
0.6%
ValueCountFrequency (%)
100.0 4
< 0.1%
95.4 1
 
< 0.1%
88.5 1
 
< 0.1%
83.5 1
 
< 0.1%
78.5 1
 
< 0.1%
78.0 1
 
< 0.1%
77.2 2
< 0.1%
76.3 1
 
< 0.1%
76.1 1
 
< 0.1%
74.2 1
 
< 0.1%

합계금액(천원)
Real number (ℝ)

MISSING  SKEWED 

Distinct7964
Distinct (%)80.6%
Missing121
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean604363.76
Minimum0
Maximum4.77238 × 108
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:57:20.097337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54079
Q1335962.5
median528370
Q3731219.5
95-th percentile1093232.9
Maximum4.77238 × 108
Range4.77238 × 108
Interquartile range (IQR)395257

Descriptive statistics

Standard deviation4811986.9
Coefficient of variation (CV)7.9620706
Kurtosis9747.7025
Mean604363.76
Median Absolute Deviation (MAD)197980
Skewness98.403797
Sum5.9705096 × 109
Variance2.3155218 × 1013
MonotonicityNot monotonic
2023-12-11T06:57:20.214760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
0.1%
388222 4
 
< 0.1%
59923 4
 
< 0.1%
812259 4
 
< 0.1%
499298 3
 
< 0.1%
598184 3
 
< 0.1%
606473 3
 
< 0.1%
133585 3
 
< 0.1%
164796 3
 
< 0.1%
517502 3
 
< 0.1%
Other values (7954) 9838
98.4%
(Missing) 121
 
1.2%
ValueCountFrequency (%)
0 11
0.1%
710 1
 
< 0.1%
1173 1
 
< 0.1%
1330 1
 
< 0.1%
1385 1
 
< 0.1%
1959 1
 
< 0.1%
2560 2
 
< 0.1%
2900 1
 
< 0.1%
2910 1
 
< 0.1%
3086 1
 
< 0.1%
ValueCountFrequency (%)
477238000 1
< 0.1%
9210551 1
< 0.1%
8569853 1
< 0.1%
7506410 2
< 0.1%
7458006 1
< 0.1%
6942139 1
< 0.1%
6064014 1
< 0.1%
5778210 1
< 0.1%
3582970 1
< 0.1%
3561179 1
< 0.1%

합계비율(%)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100
9919 
<NA>
 
70
0
 
11

Length

Max length4
Median length3
Mean length3.0048
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 9919
99.2%
<NA> 70
 
0.7%
0 11
 
0.1%

Length

2023-12-11T06:57:20.334361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:57:20.415030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 9919
99.2%
na 70
 
0.7%
0 11
 
0.1%

Sample

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유교육청금액(천원)교육청비율(%)자치단체금액(천원)자치단체비율(%)학교금액(천원)학교비율(%)보호자금액(천원)보호자비율(%)기타금액(천원)기타비율(%)합계금액(천원)합계비율(%)
112492018부천시경기도부천교육지원청경기도 부천시상동초등학교초등학교공립N<NA>45427958.228385836.400.0418725.400.0780009100
174282017안양시경기도안양과천교육지원청경기도 안양시 동안구대안중학교중학교공립N<NA>34141158.422255638.000.0209703.600.0584937100
198362016고양시경기도고양교육지원청경기도 고양시 덕양구무원초등학교초등학교공립N<NA>37428252.029783641.400.0469896.500.0719107100
166272017수원시경기도수원교육지원청경기도 수원시 영통구연무중학교<NA>공립N<NA>30389448.429655547.200.0272494.3300.0627728100
260672015수원시경기도수원교육지원청경기도 수원시 영통구영일중학교<NA>공립N<NA>29385146.725782541.083101.36809410.87140.1628794100
212792016수원시경기도수원교육지원청경기도 수원시 영통구수원원일중학교<NA>공립N<NA>33566354.125591141.200.0291004.700.0620674100
86122019파주시경기도파주교육지원청경기도 파주시지산초등학교<NA>공립N<NA>51645468.620389327.1<NA><NA>324294.300.0752776100
173632017안양시경기도교육청경기도 안양시 만안구안양예술고등학교고등학교사립N<NA>635836.900.0383254.182598289.000.0927890100
134852018의왕시경기도군포의왕교육지원청경기도 의왕시고천초등학교초등학교공립N<NA>26020866.111030828.024090.6206345.200.0393559100
226182016오산시경기도화성오산교육지원청경기도 오산시매홀초등학교삼미분교장<NA>공립N<NA>4201169.31479924.400.038016.300.060611100
기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유교육청금액(천원)교육청비율(%)자치단체금액(천원)자치단체비율(%)학교금액(천원)학교비율(%)보호자금액(천원)보호자비율(%)기타금액(천원)기타비율(%)합계금액(천원)합계비율(%)
5762020남양주시경기도교육청경기도 남양주시덕소고등학교<NA>사립N<NA>31390531.012264812.1<NA><NA>57215156.542950.41012999100
219942016안성시경기도안성교육지원청경기도 안성시백성초등학교<NA>공립N<NA>24444975.46091618.800.0189385.800.0324303100
40212019남양주시경기도구리남양주교육지원청경기도 남양주시다산가람초등학교<NA>공립N<NA>21198476.16654523.9<NA><NA>00.000.0278529100
21442020평택시경기도평택교육지원청경기도 평택시원정초등학교<NA>공립N<NA>44072395.1225794.9<NA><NA>00.000.0463302100
1782020고양시경기도교육청경기도 고양시 일산동구저현고등학교<NA>공립N<NA>18983224.012021715.2<NA><NA>43217054.6490246.2791243100
58432019시흥시경기도시흥교육지원청경기도 시흥시함현초등학교<NA>공립N<NA>42442672.513547923.2<NA><NA>252674.300.0585172100
212482016수원시경기도수원교육지원청경기도 수원시 영통구매탄초등학교<NA>공립N<NA>54835553.241013939.800.0723097.000.01030803100
57252019수원시경기도수원교육지원청경기도 수원시 영통구효원초등학교<NA>공립N<NA>22845170.48378225.8<NA><NA>123203.800.0324553100
109612018남양주시경기도구리남양주교육지원청경기도 남양주시남양주신촌초등학교<NA>공립N<NA>59519758.537157836.500.0500974.900.01016872100
125642018안양시경기도안양과천교육지원청경기도 안양시 만안구안양중학교중학교공립N<NA>44631176.212221420.910000.2165362.800.0586061100

Duplicate rows

Most frequently occurring

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유교육청금액(천원)교육청비율(%)자치단체금액(천원)자치단체비율(%)학교금액(천원)학교비율(%)보호자금액(천원)보호자비율(%)기타금액(천원)기타비율(%)합계금액(천원)합계비율(%)# duplicates
12019가평군경기도가평교육지원청경기도 가평군목동초등학교<NA>공립N<NA>15624950.960032.0<NA><NA>00.014477847.23070301003
92019고양시경기도고양교육지원청경기도 고양시 덕양구가람중학교<NA>공립N<NA>30465964.316759935.4<NA><NA>00.016060.34738641003
112019고양시경기도고양교육지원청경기도 고양시 덕양구고양초등학교<NA>공립N<NA>25310861.715729638.3<NA><NA>00.000.04104041003
182019고양시경기도고양교육지원청경기도 고양시 덕양구용두초등학교<NA>공립N<NA>1835357.31198037.4<NA><NA>16995.300.0320321003
192019고양시경기도고양교육지원청경기도 고양시 덕양구원당초등학교<NA>공립N<NA>24007257.314968835.7<NA><NA>289276.96090.14192961003
322019고양시경기도고양교육지원청경기도 고양시 일산동구중산중학교<NA>공립N<NA>40677967.519541132.5<NA><NA>00.000.06021901003
372019고양시경기도고양교육지원청경기도 고양시 일산서구신촌초등학교<NA>공립N<NA>38761171.915123728.1<NA><NA>00.000.05388481003
382019고양시경기도고양교육지원청경기도 고양시 일산서구오마중학교<NA>공립N<NA>52091558.436439240.9<NA><NA>00.063620.78916691003
392019고양시경기도고양교육지원청경기도 고양시 일산서구일산동중학교<NA>공립N<NA>30980858.821684941.2<NA><NA>00.000.05266571003
602019광명시경기도광명교육지원청경기도 광명시철산초등학교<NA>공립N<NA>78066759.047117835.6<NA><NA>711445.400.013229891003