Overview

Dataset statistics

Number of variables36
Number of observations10000
Missing cells40000
Missing cells (%)11.1%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory3.0 MiB
Average record size in memory310.0 B

Variable types

Categorical21
Numeric9
Text2
Unsupported4

Dataset

Description학교 세입, 세출 결산 관련 데이터를 제공하고 있습니다. 회계년도, 층화추출학교ID, 시도명, 시군구명, 세입세출결산 등 관련 내용을 포함하고 있습니다.
Author한국교육학술정보원
URLhttps://www.data.go.kr/data/15090580/fileData.do

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
학교급명 is highly imbalanced (53.9%)Imbalance
학교단위사업명 is highly imbalanced (59.5%)Imbalance
활동영역구분명 is highly imbalanced (80.6%)Imbalance
세입세출구분명 is highly imbalanced (94.3%)Imbalance
학교회계세출여부 has 10000 (100.0%) missing valuesMissing
교육비특별회계세출여부 has 10000 (100.0%) missing valuesMissing
교육비특별회계세입여부 has 10000 (100.0%) missing valuesMissing
학교회계세입여부 has 10000 (100.0%) missing valuesMissing
세입세출결산 세출예산현액 is highly skewed (γ1 = 24.44871448)Skewed
세입세출결산 세입결산금액 is highly skewed (γ1 = 21.30449858)Skewed
세입세출결산 다음년도계속비이월금액 is highly skewed (γ1 = 49.90341479)Skewed
세입세출결산 보조금반환확정금액 is highly skewed (γ1 = 27.67738979)Skewed
세입세출결산 세출결산금액 is highly skewed (γ1 = 24.66392986)Skewed
학교회계세출여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교육비특별회계세출여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교육비특별회계세입여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
학교회계세입여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
세입세출결산 세출예산현액 has 9929 (99.3%) zerosZeros
세입세출결산 세입결산금액 has 9935 (99.4%) zerosZeros
세입세출결산 불용금액 has 4965 (49.6%) zerosZeros
세입세출결산 다음년도사고이월금액 has 9422 (94.2%) zerosZeros
세입세출결산 다음년도계속비이월금액 has 9972 (99.7%) zerosZeros
세입세출결산 다음년도명시이월금액 has 5116 (51.2%) zerosZeros
세입세출결산 보조금반환확정금액 has 8960 (89.6%) zerosZeros
세입세출결산 세출결산금액 has 9932 (99.3%) zerosZeros

Reproduction

Analysis started2023-12-12 01:26:35.748607
Analysis finished2023-12-12 01:26:36.768532
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계년도
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2011
6190 
2012
3423 
2013
 
294
2009
 
93

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2011
2nd row2011
3rd row2011
4th row2013
5th row2011

Common Values

ValueCountFrequency (%)
2011 6190
61.9%
2012 3423
34.2%
2013 294
 
2.9%
2009 93
 
0.9%

Length

2023-12-12T10:26:36.844605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:36.939462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2011 6190
61.9%
2012 3423
34.2%
2013 294
 
2.9%
2009 93
 
0.9%

층화추출학교ID
Real number (ℝ)

Distinct7001
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4109295 × 109
Minimum1.0002466 × 109
Maximum9.998602 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:26:37.121819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0002466 × 109
5-th percentile1.3659445 × 109
Q13.0753933 × 109
median5.3915802 × 109
Q37.7106822 × 109
95-th percentile9.5725579 × 109
Maximum9.998602 × 109
Range8.9983555 × 109
Interquartile range (IQR)4.6352889 × 109

Descriptive statistics

Standard deviation2.6504332 × 109
Coefficient of variation (CV)0.48982956
Kurtosis-1.2252923
Mean5.4109295 × 109
Median Absolute Deviation (MAD)2.3162136 × 109
Skewness0.027129478
Sum5.4109295 × 1013
Variance7.0247963 × 1018
MonotonicityNot monotonic
2023-12-12T10:26:37.276311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3125331174 13
 
0.1%
7538953993 10
 
0.1%
8332591103 8
 
0.1%
6424672007 8
 
0.1%
1400509888 7
 
0.1%
3021656604 7
 
0.1%
9758581642 7
 
0.1%
3332060331 6
 
0.1%
1430181716 6
 
0.1%
8278429151 6
 
0.1%
Other values (6991) 9922
99.2%
ValueCountFrequency (%)
1000246566 1
< 0.1%
1001851061 2
< 0.1%
1003017058 2
< 0.1%
1005528350 1
< 0.1%
1007965063 2
< 0.1%
1008422981 1
< 0.1%
1011004629 1
< 0.1%
1011843374 1
< 0.1%
1014360032 1
< 0.1%
1014437794 1
< 0.1%
ValueCountFrequency (%)
9998602018 2
< 0.1%
9997880533 1
< 0.1%
9997164889 2
< 0.1%
9997102858 1
< 0.1%
9996751415 1
< 0.1%
9995918188 1
< 0.1%
9987825284 1
< 0.1%
9984691068 2
< 0.1%
9984203617 1
< 0.1%
9979446545 1
< 0.1%

시도명
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
1713 
서울특별시
1104 
경상남도
935 
경상북도
917 
전라북도
677 
Other values (14)
4654 

Length

Max length7
Median length6
Mean length4.1986
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도
2nd row경상남도
3rd row서울특별시
4th row대구광역시
5th row부산광역시

Common Values

ValueCountFrequency (%)
경기도 1713
17.1%
서울특별시 1104
11.0%
경상남도 935
9.3%
경상북도 917
9.2%
전라북도 677
 
6.8%
부산광역시 666
 
6.7%
전라남도 598
 
6.0%
충청남도 591
 
5.9%
강원도 517
 
5.2%
인천광역시 485
 
4.9%
Other values (9) 1797
18.0%

Length

2023-12-12T10:26:37.432472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 1713
17.1%
서울특별시 1104
11.0%
경상남도 935
9.3%
경상북도 917
9.2%
전라북도 677
 
6.8%
부산광역시 666
 
6.7%
전라남도 598
 
6.0%
충청남도 591
 
5.9%
강원도 517
 
5.2%
인천광역시 485
 
4.9%
Other values (9) 1797
18.0%
Distinct230
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:26:37.795127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.5344
Min length2

Characters and Unicode

Total characters35344
Distinct characters151
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성남시 분당구
2nd row창원시 마산합포구
3rd row영등포구
4th row수성구
5th row남구
ValueCountFrequency (%)
북구 324
 
2.9%
남구 236
 
2.1%
서구 224
 
2.0%
창원시 214
 
1.9%
동구 176
 
1.6%
수원시 159
 
1.4%
중구 148
 
1.3%
청주시 147
 
1.3%
제주시 142
 
1.3%
용인시 123
 
1.1%
Other values (229) 9459
83.3%
2023-12-12T10:26:38.291717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4844
 
13.7%
4760
 
13.5%
2122
 
6.0%
1352
 
3.8%
1227
 
3.5%
1099
 
3.1%
924
 
2.6%
797
 
2.3%
781
 
2.2%
762
 
2.2%
Other values (141) 16676
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33992
96.2%
Space Separator 1352
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4844
 
14.3%
4760
 
14.0%
2122
 
6.2%
1227
 
3.6%
1099
 
3.2%
924
 
2.7%
797
 
2.3%
781
 
2.3%
762
 
2.2%
755
 
2.2%
Other values (140) 15921
46.8%
Space Separator
ValueCountFrequency (%)
1352
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33992
96.2%
Common 1352
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4844
 
14.3%
4760
 
14.0%
2122
 
6.2%
1227
 
3.6%
1099
 
3.2%
924
 
2.7%
797
 
2.3%
781
 
2.3%
762
 
2.2%
755
 
2.2%
Other values (140) 15921
46.8%
Common
ValueCountFrequency (%)
1352
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33992
96.2%
ASCII 1352
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4844
 
14.3%
4760
 
14.0%
2122
 
6.2%
1227
 
3.6%
1099
 
3.2%
924
 
2.7%
797
 
2.3%
781
 
2.3%
762
 
2.2%
755
 
2.2%
Other values (140) 15921
46.8%
ASCII
ValueCountFrequency (%)
1352
100.0%

학교급명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
초등학교
5042 
중학교
2767 
고등학교
2035 
특수학교
 
115
유치원
 
11
Other values (6)
 
30

Length

Max length13
Median length4
Mean length3.7348
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row초등학교
2nd row초등학교
3rd row중학교
4th row초등학교
5th row중학교

Common Values

ValueCountFrequency (%)
초등학교 5042
50.4%
중학교 2767
27.7%
고등학교 2035
20.3%
특수학교 115
 
1.1%
유치원 11
 
0.1%
방송통신고등학교 10
 
0.1%
각종학교(중) 6
 
0.1%
각종학교(고) 5
 
0.1%
평생학교(고)-3년6학기 4
 
< 0.1%
고등기술학교 4
 
< 0.1%

Length

2023-12-12T10:26:38.429961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초등학교 5042
50.4%
중학교 2767
27.7%
고등학교 2035
20.3%
특수학교 115
 
1.1%
유치원 11
 
0.1%
방송통신고등학교 10
 
0.1%
각종학교(중 6
 
0.1%
각종학교(고 5
 
< 0.1%
평생학교(고)-3년6학기 4
 
< 0.1%
고등기술학교 4
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:38.551363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:38.664093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

세출목명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:38.788598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:38.901414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

세출세목명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:39.032372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:39.149199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:39.265696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:39.383466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

학교회계세출여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

교육비특별회계세출여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
학교 일반운영
 
653
기본적 교육활동
 
578
인적자원 운용
 
551
교육활동 지원
 
325
Other values (4)
735 

Length

Max length12
Median length6
Mean length6.3536
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row학교 일반운영
3rd row교육활동 지원
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
학교 일반운영 653
 
6.5%
기본적 교육활동 578
 
5.8%
인적자원 운용 551
 
5.5%
교육활동 지원 325
 
3.2%
코드오류 299
 
3.0%
선택적 교육활동 288
 
2.9%
학생복지/교육격차 해소 145
 
1.5%
학교시설 확충 3
 
< 0.1%

Length

2023-12-12T10:26:39.501220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:39.649808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
57.1%
교육활동 1191
 
9.5%
학교 653
 
5.2%
일반운영 653
 
5.2%
기본적 578
 
4.6%
인적자원 551
 
4.4%
운용 551
 
4.4%
지원 325
 
2.6%
코드오류 299
 
2.4%
선택적 288
 
2.3%
Other values (4) 296
 
2.4%

학교단위사업명
Categorical

IMBALANCE 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
교직원 복지 및 역량강화
 
389
학교운영 협력
 
376
코드오류
 
299
특별 활동
 
264
Other values (26)
1514 

Length

Max length13
Median length6
Mean length6.3266
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row원천코드없음
2nd row부서 기본 운영
3rd row연구학교 운영
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
교직원 복지 및 역량강화 389
 
3.9%
학교운영 협력 376
 
3.8%
코드오류 299
 
3.0%
특별 활동 264
 
2.6%
교과 활동 242
 
2.4%
부서 기본 운영 162
 
1.6%
교직원 보수 162
 
1.6%
교무업무 운영 159
 
1.6%
연구학교 운영 102
 
1.0%
Other values (21) 687
 
6.9%

Length

2023-12-12T10:26:39.810391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원천코드없음 7158
52.9%
활동 577
 
4.3%
운영 563
 
4.2%
교직원 551
 
4.1%
392
 
2.9%
역량강화 389
 
2.9%
복지 389
 
2.9%
협력 376
 
2.8%
학교운영 376
 
2.8%
코드오류 299
 
2.2%
Other values (39) 2457
 
18.2%
Distinct1449
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:26:40.330827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length6
Mean length6.6966
Min length3

Characters and Unicode

Total characters66966
Distinct characters403
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1194 ?
Unique (%)11.9%

Sample

1st row원천코드없음
2nd row교장실운영
3rd row다양한교육과정/교과교실제운영학교지원
4th row원천코드없음
5th row원천코드없음
ValueCountFrequency (%)
원천코드없음 7158
63.3%
코드오류 299
 
2.6%
운영 272
 
2.4%
학부모 104
 
0.9%
교직원 86
 
0.8%
지원 62
 
0.5%
학부모회운영 50
 
0.4%
학부모교육참여 38
 
0.3%
운영비 38
 
0.3%
학부모참여활동 35
 
0.3%
Other values (1565) 3174
28.0%
2023-12-12T10:26:40.915137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8118
12.1%
7469
11.2%
7457
11.1%
7178
10.7%
7159
10.7%
7158
10.7%
1724
 
2.6%
1355
 
2.0%
1320
 
2.0%
1255
 
1.9%
Other values (393) 16773
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65001
97.1%
Space Separator 1320
 
2.0%
Open Punctuation 218
 
0.3%
Close Punctuation 216
 
0.3%
Decimal Number 132
 
0.2%
Other Punctuation 33
 
< 0.1%
Uppercase Letter 33
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8118
12.5%
7469
11.5%
7457
11.5%
7178
11.0%
7159
11.0%
7158
11.0%
1724
 
2.7%
1355
 
2.1%
1255
 
1.9%
1150
 
1.8%
Other values (356) 14978
23.0%
Uppercase Letter
ValueCountFrequency (%)
T 6
18.2%
D 4
12.1%
I 3
9.1%
L 3
9.1%
P 2
 
6.1%
Y 2
 
6.1%
H 2
 
6.1%
A 2
 
6.1%
C 2
 
6.1%
B 2
 
6.1%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
0 46
34.8%
1 42
31.8%
2 30
22.7%
3 8
 
6.1%
9 4
 
3.0%
8 1
 
0.8%
4 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 19
57.6%
. 11
33.3%
/ 2
 
6.1%
* 1
 
3.0%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
< 1
25.0%
> 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 217
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 215
99.5%
] 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
1320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65001
97.1%
Common 1929
 
2.9%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8118
12.5%
7469
11.5%
7457
11.5%
7178
11.0%
7159
11.0%
7158
11.0%
1724
 
2.7%
1355
 
2.1%
1255
 
1.9%
1150
 
1.8%
Other values (356) 14978
23.0%
Common
ValueCountFrequency (%)
1320
68.4%
( 217
 
11.2%
) 215
 
11.1%
0 46
 
2.4%
1 42
 
2.2%
2 30
 
1.6%
, 19
 
1.0%
. 11
 
0.6%
3 8
 
0.4%
- 6
 
0.3%
Other values (10) 15
 
0.8%
Latin
ValueCountFrequency (%)
T 6
16.7%
D 4
11.1%
I 3
 
8.3%
L 3
 
8.3%
e 2
 
5.6%
P 2
 
5.6%
Y 2
 
5.6%
H 2
 
5.6%
A 2
 
5.6%
C 2
 
5.6%
Other values (7) 8
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65001
97.1%
ASCII 1965
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8118
12.5%
7469
11.5%
7457
11.5%
7178
11.0%
7159
11.0%
7158
11.0%
1724
 
2.7%
1355
 
2.1%
1255
 
1.9%
1150
 
1.8%
Other values (356) 14978
23.0%
ASCII
ValueCountFrequency (%)
1320
67.2%
( 217
 
11.0%
) 215
 
10.9%
0 46
 
2.3%
1 42
 
2.1%
2 30
 
1.5%
, 19
 
1.0%
. 11
 
0.6%
3 8
 
0.4%
- 6
 
0.3%
Other values (27) 51
 
2.6%

활동영역구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
9701 
코드오류
 
299

Length

Max length6
Median length6
Mean length5.9402
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원천코드없음 9701
97.0%
코드오류 299
 
3.0%

Length

2023-12-12T10:26:41.410761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:41.561786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 9701
97.0%
코드오류 299
 
3.0%

세입장명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:41.766642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:41.903570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

세입관명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:42.028950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:42.177361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

세입항명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:42.344203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:42.490498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

세입목명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:42.659543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:42.799816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:42.957115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:43.090386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

교육비특별회계세입여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

학교회계세입여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:43.262468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:43.401064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:43.534653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:43.700737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:43.868754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:44.029618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:44.170033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:44.337908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
원천코드없음
7158 
코드오류
2842 

Length

Max length6
Median length6
Mean length5.4316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원천코드없음
2nd row코드오류
3rd row코드오류
4th row원천코드없음
5th row원천코드없음

Common Values

ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

Length

2023-12-12T10:26:44.483591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:44.646438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원천코드없음 7158
71.6%
코드오류 2842
 
28.4%

세입세출구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
세출
9934 
세입
 
66

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세출 9934
99.3%
세입 66
 
0.7%

Length

2023-12-12T10:26:44.817770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:26:44.950871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세출 9934
99.3%
세입 66
 
0.7%

세입세출결산 세출예산현액
Real number (ℝ)

SKEWED  ZEROS 

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16865548
Minimum0
Maximum1.0764492 × 1010
Zeros9929
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:26:45.113830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.0764492 × 1010
Range1.0764492 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6653396 × 108
Coefficient of variation (CV)15.803457
Kurtosis738.06342
Mean16865548
Median Absolute Deviation (MAD)0
Skewness24.448714
Sum1.6865548 × 1011
Variance7.1040354 × 1016
MonotonicityNot monotonic
2023-12-12T10:26:45.333357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9929
99.3%
1461043000 1
 
< 0.1%
2103431000 1
 
< 0.1%
2049016000 1
 
< 0.1%
1123221000 1
 
< 0.1%
1344344900 1
 
< 0.1%
1849386270 1
 
< 0.1%
3322079530 1
 
< 0.1%
1035849000 1
 
< 0.1%
154436000 1
 
< 0.1%
Other values (62) 62
 
0.6%
ValueCountFrequency (%)
0 9929
99.3%
7000000 1
 
< 0.1%
9600000 1
 
< 0.1%
154436000 1
 
< 0.1%
515237000 1
 
< 0.1%
641341710 1
 
< 0.1%
780551000 1
 
< 0.1%
847530020 1
 
< 0.1%
902340260 1
 
< 0.1%
929796460 1
 
< 0.1%
ValueCountFrequency (%)
10764492060 1
< 0.1%
8786276130 1
< 0.1%
8420570270 1
< 0.1%
8366384640 1
< 0.1%
7778761490 1
< 0.1%
6489208390 1
< 0.1%
5880446700 1
< 0.1%
4353576330 1
< 0.1%
3535716800 1
< 0.1%
3528864460 1
< 0.1%

세입세출결산 세입결산금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct66
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18078550
Minimum0
Maximum8.7713619 × 109
Zeros9935
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:26:45.544878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8.7713619 × 109
Range8.7713619 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8060148 × 108
Coefficient of variation (CV)15.521238
Kurtosis532.11048
Mean18078550
Median Absolute Deviation (MAD)0
Skewness21.304499
Sum1.807855 × 1011
Variance7.8737188 × 1016
MonotonicityNot monotonic
2023-12-12T10:26:45.742335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9935
99.4%
1734239610 1
 
< 0.1%
3558559350 1
 
< 0.1%
1259819772 1
 
< 0.1%
853837702 1
 
< 0.1%
8594504598 1
 
< 0.1%
3292259046 1
 
< 0.1%
5290864310 1
 
< 0.1%
1720967940 1
 
< 0.1%
3120988858 1
 
< 0.1%
Other values (56) 56
 
0.6%
ValueCountFrequency (%)
0 9935
99.4%
424208490 1
 
< 0.1%
497146179 1
 
< 0.1%
629244264 1
 
< 0.1%
767220702 1
 
< 0.1%
853837702 1
 
< 0.1%
1192275522 1
 
< 0.1%
1203879665 1
 
< 0.1%
1259819772 1
 
< 0.1%
1263322130 1
 
< 0.1%
ValueCountFrequency (%)
8771361922 1
< 0.1%
8594504598 1
< 0.1%
8317758718 1
< 0.1%
8303054287 1
< 0.1%
7776484868 1
< 0.1%
6847497827 1
< 0.1%
5985079513 1
< 0.1%
5507498461 1
< 0.1%
5332220466 1
< 0.1%
5290864310 1
< 0.1%

세입세출결산 불용금액
Real number (ℝ)

ZEROS 

Distinct4868
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-43817602
Minimum-6.139122 × 109
Maximum3.3085006 × 108
Zeros4965
Zeros (%)49.6%
Negative4963
Negative (%)49.6%
Memory size166.0 KiB
2023-12-12T10:26:45.959256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.139122 × 109
5-th percentile-1.6100087 × 108
Q1-25259662
median0
Q30
95-th percentile0
Maximum3.3085006 × 108
Range6.4699721 × 109
Interquartile range (IQR)25259662

Descriptive statistics

Standard deviation1.9069196 × 108
Coefficient of variation (CV)-4.3519488
Kurtosis222.12092
Mean-43817602
Median Absolute Deviation (MAD)409700
Skewness-12.019544
Sum-4.3817602 × 1011
Variance3.6363424 × 1016
MonotonicityNot monotonic
2023-12-12T10:26:46.161687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4965
49.6%
-10000000 10
 
0.1%
-2000000 9
 
0.1%
-24000000 8
 
0.1%
-25000000 8
 
0.1%
-1000000 7
 
0.1%
-15000000 7
 
0.1%
-50000000 7
 
0.1%
-2500000 7
 
0.1%
-5000000 7
 
0.1%
Other values (4858) 4965
49.6%
ValueCountFrequency (%)
-6139122000 1
< 0.1%
-4286448000 1
< 0.1%
-3925385440 1
< 0.1%
-3861322930 1
< 0.1%
-3085506330 1
< 0.1%
-3000000000 1
< 0.1%
-2995739160 1
< 0.1%
-2846503300 1
< 0.1%
-2499240000 1
< 0.1%
-2468474790 1
< 0.1%
ValueCountFrequency (%)
330850060 1
< 0.1%
286501892 1
< 0.1%
236121373 1
< 0.1%
199398390 1
< 0.1%
199161350 1
< 0.1%
169385724 1
< 0.1%
161339670 1
< 0.1%
160868364 1
< 0.1%
155338370 1
< 0.1%
154436000 1
< 0.1%
Distinct570
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7226434.4
Minimum0
Maximum3 × 109
Zeros9422
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:26:46.350021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1758243.5
Maximum3 × 109
Range3 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74735148
Coefficient of variation (CV)10.341912
Kurtosis529.17993
Mean7226434.4
Median Absolute Deviation (MAD)0
Skewness19.923577
Sum7.2264344 × 1010
Variance5.5853423 × 1015
MonotonicityNot monotonic
2023-12-12T10:26:46.573333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9422
94.2%
10000000 3
 
< 0.1%
36000000 2
 
< 0.1%
12000000 2
 
< 0.1%
8000000 2
 
< 0.1%
2000000 2
 
< 0.1%
9900000 2
 
< 0.1%
120000 2
 
< 0.1%
35000000 2
 
< 0.1%
19450870 1
 
< 0.1%
Other values (560) 560
 
5.6%
ValueCountFrequency (%)
0 9422
94.2%
100 1
 
< 0.1%
200 1
 
< 0.1%
2000 1
 
< 0.1%
2310 1
 
< 0.1%
5250 1
 
< 0.1%
5600 1
 
< 0.1%
21000 1
 
< 0.1%
21370 1
 
< 0.1%
24480 1
 
< 0.1%
ValueCountFrequency (%)
3000000000 1
< 0.1%
2256380840 1
< 0.1%
1795743000 1
< 0.1%
1758411679 1
< 0.1%
1654682680 1
< 0.1%
1534537660 1
< 0.1%
1483870720 1
< 0.1%
1408078570 1
< 0.1%
1389476670 1
< 0.1%
1327866090 1
< 0.1%
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean673196.63
Minimum0
Maximum1.6255738 × 109
Zeros9972
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:26:46.763152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.6255738 × 109
Range1.6255738 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23573347
Coefficient of variation (CV)35.017031
Kurtosis2891.2005
Mean673196.63
Median Absolute Deviation (MAD)0
Skewness49.903415
Sum6.7319663 × 109
Variance5.557027 × 1014
MonotonicityNot monotonic
2023-12-12T10:26:46.947397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 9972
99.7%
1625573810 1
 
< 0.1%
62437160 1
 
< 0.1%
25888600 1
 
< 0.1%
74462000 1
 
< 0.1%
706678494 1
 
< 0.1%
79292600 1
 
< 0.1%
20674080 1
 
< 0.1%
41549000 1
 
< 0.1%
582118630 1
 
< 0.1%
Other values (19) 19
 
0.2%
ValueCountFrequency (%)
0 9972
99.7%
501000 1
 
< 0.1%
9021000 1
 
< 0.1%
9158110 1
 
< 0.1%
9555350 1
 
< 0.1%
11899700 1
 
< 0.1%
20674080 1
 
< 0.1%
23873000 1
 
< 0.1%
25888600 1
 
< 0.1%
33607690 1
 
< 0.1%
ValueCountFrequency (%)
1625573810 1
< 0.1%
1081763140 1
< 0.1%
706678494 1
< 0.1%
588856000 1
< 0.1%
582118630 1
< 0.1%
559710294 1
< 0.1%
305636040 1
< 0.1%
240995140 1
< 0.1%
186543460 1
< 0.1%
154070220 1
< 0.1%
Distinct4706
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36881749
Minimum-2014060
Maximum6.117722 × 109
Zeros5116
Zeros (%)51.2%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2023-12-12T10:26:47.148070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2014060
5-th percentile0
Q10
median0
Q323452059
95-th percentile1.2142572 × 108
Maximum6.117722 × 109
Range6.1197361 × 109
Interquartile range (IQR)23452059

Descriptive statistics

Standard deviation1.6380831 × 108
Coefficient of variation (CV)4.4414464
Kurtosis304.21475
Mean36881749
Median Absolute Deviation (MAD)0
Skewness13.715795
Sum3.6881749 × 1011
Variance2.6833163 × 1016
MonotonicityNot monotonic
2023-12-12T10:26:47.360268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5116
51.2%
2000000 10
 
0.1%
10000000 10
 
0.1%
1000000 9
 
0.1%
50000000 8
 
0.1%
24000000 8
 
0.1%
15000000 7
 
0.1%
25000000 7
 
0.1%
2500000 7
 
0.1%
5000000 7
 
0.1%
Other values (4696) 4811
48.1%
ValueCountFrequency (%)
-2014060 1
 
< 0.1%
0 5116
51.2%
50 1
 
< 0.1%
3480 1
 
< 0.1%
10680 1
 
< 0.1%
22270 1
 
< 0.1%
40640 1
 
< 0.1%
45700 1
 
< 0.1%
91400 1
 
< 0.1%
118000 1
 
< 0.1%
ValueCountFrequency (%)
6117722000 1
< 0.1%
3742922150 1
< 0.1%
3085506330 1
< 0.1%
2995739160 1
< 0.1%
2846503300 1
< 0.1%
2490705000 1
< 0.1%
2464240000 1
< 0.1%
2443837790 1
< 0.1%
2298527150 1
< 0.1%
2249324460 1
< 0.1%

세입세출결산 보조금반환확정금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct1038
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1249459.3
Minimum-2016100
Maximum4.653456 × 108
Zeros8960
Zeros (%)89.6%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2023-12-12T10:26:47.557722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2016100
5-th percentile0
Q10
median0
Q30
95-th percentile6994600
Maximum4.653456 × 108
Range4.673617 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8069976.7
Coefficient of variation (CV)6.4587751
Kurtosis1315.1871
Mean1249459.3
Median Absolute Deviation (MAD)0
Skewness27.67739
Sum1.2494593 × 1010
Variance6.5124524 × 1013
MonotonicityNot monotonic
2023-12-12T10:26:47.771245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8960
89.6%
1800000 2
 
< 0.1%
924000 2
 
< 0.1%
500000 2
 
< 0.1%
28777350 1
 
< 0.1%
31532400 1
 
< 0.1%
17031830 1
 
< 0.1%
3315534 1
 
< 0.1%
1932810 1
 
< 0.1%
465345600 1
 
< 0.1%
Other values (1028) 1028
 
10.3%
ValueCountFrequency (%)
-2016100 1
 
< 0.1%
0 8960
89.6%
500 1
 
< 0.1%
710 1
 
< 0.1%
940 1
 
< 0.1%
1200 1
 
< 0.1%
1650 1
 
< 0.1%
1900 1
 
< 0.1%
2170 1
 
< 0.1%
2840 1
 
< 0.1%
ValueCountFrequency (%)
465345600 1
< 0.1%
299968380 1
< 0.1%
125111770 1
< 0.1%
123377030 1
< 0.1%
117119000 1
< 0.1%
106173020 1
< 0.1%
100002330 1
< 0.1%
98350107 1
< 0.1%
94612540 1
< 0.1%
93193500 1
< 0.1%

세입세출결산 세출결산금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15901771
Minimum0
Maximum1.0269756 × 1010
Zeros9932
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:26:47.947770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.0269756 × 1010
Range1.0269756 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5124334 × 108
Coefficient of variation (CV)15.799708
Kurtosis757.35961
Mean15901771
Median Absolute Deviation (MAD)0
Skewness24.66393
Sum1.5901771 × 1011
Variance6.3123216 × 1016
MonotonicityNot monotonic
2023-12-12T10:26:48.177556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9932
99.3%
1167014120 1
 
< 0.1%
1893677630 1
 
< 0.1%
1096921420 1
 
< 0.1%
1218099010 1
 
< 0.1%
1794219050 1
 
< 0.1%
3263602140 1
 
< 0.1%
992440130 1
 
< 0.1%
1309991630 1
 
< 0.1%
2729339610 1
 
< 0.1%
Other values (59) 59
 
0.6%
ValueCountFrequency (%)
0 9932
99.3%
487859351 1
 
< 0.1%
495259380 1
 
< 0.1%
520738306 1
 
< 0.1%
810748410 1
 
< 0.1%
842487620 1
 
< 0.1%
896068217 1
 
< 0.1%
902214710 1
 
< 0.1%
992440130 1
 
< 0.1%
1096921420 1
 
< 0.1%
ValueCountFrequency (%)
10269756152 1
< 0.1%
8306122890 1
< 0.1%
8170675797 1
< 0.1%
7692068800 1
< 0.1%
7631038122 1
< 0.1%
6404726573 1
< 0.1%
4067074438 1
< 0.1%
3693717130 1
< 0.1%
3436314070 1
< 0.1%
3390824020 1
< 0.1%

Sample

회계년도층화추출학교ID시도명시군구명학교급명세출목그룹명세출목명세출세목명세출원가통계비목명학교회계세출여부교육비특별회계세출여부학교정책사업명학교단위사업명학교세부사업명활동영역구분명세입장명세입관명세입항명세입목명세입원가통계비목명교육비특별회계세입여부학교회계세입여부원가통계비목대분류명원가통계비목중분류명원가통계비목소분류명원가통계비목상세분류명원가통계비목명세입세출구분명세입세출결산 세출예산현액세입세출결산 세입결산금액세입세출결산 불용금액세입세출결산 다음년도사고이월금액세입세출결산 다음년도계속비이월금액세입세출결산 다음년도명시이월금액세입세출결산 보조금반환확정금액세입세출결산 세출결산금액
395420112637925606경기도성남시 분당구초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00000000
61320111143584053경상남도창원시 마산합포구초등학교코드오류코드오류코드오류코드오류<NA><NA>학교 일반운영부서 기본 운영교장실운영원천코드없음코드오류코드오류코드오류코드오류코드오류<NA><NA>코드오류코드오류코드오류코드오류코드오류세출00000000
1930420119276765618서울특별시영등포구중학교코드오류코드오류코드오류코드오류<NA><NA>교육활동 지원연구학교 운영다양한교육과정/교과교실제운영학교지원원천코드없음코드오류코드오류코드오류코드오류코드오류<NA><NA>코드오류코드오류코드오류코드오류코드오류세출00000000
3311720131380480544대구광역시수성구초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-573100000573100000
108120111362984830부산광역시남구중학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-35633440003563344000
408720112687870226인천광역시미추홀구중학교코드오류코드오류코드오류코드오류<NA><NA>학교 일반운영일반행정 관리학교회계직원운영원천코드없음코드오류코드오류코드오류코드오류코드오류<NA><NA>코드오류코드오류코드오류코드오류코드오류세출00000000
2163220121454703141인천광역시부평구중학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-1439862500014398625000
1812320118764647689경상북도청도군초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-185983000185983000
1633720117986332216충청남도아산시초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-781000000781000000
824620114504132853경상남도김해시초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00000000
회계년도층화추출학교ID시도명시군구명학교급명세출목그룹명세출목명세출세목명세출원가통계비목명학교회계세출여부교육비특별회계세출여부학교정책사업명학교단위사업명학교세부사업명활동영역구분명세입장명세입관명세입항명세입목명세입원가통계비목명교육비특별회계세입여부학교회계세입여부원가통계비목대분류명원가통계비목중분류명원가통계비목소분류명원가통계비목상세분류명원가통계비목명세입세출구분명세입세출결산 세출예산현액세입세출결산 세입결산금액세입세출결산 불용금액세입세출결산 다음년도사고이월금액세입세출결산 다음년도계속비이월금액세입세출결산 다음년도명시이월금액세입세출결산 보조금반환확정금액세입세출결산 세출결산금액
1872820119047687775광주광역시서구초등학교코드오류코드오류코드오류코드오류<NA><NA>인적자원 운용교직원 복지 및 역량강화교직원전문성신장원천코드없음코드오류코드오류코드오류코드오류코드오류<NA><NA>코드오류코드오류코드오류코드오류코드오류세출00000000
748220114185406561경기도안산시 상록구중학교코드오류코드오류코드오류코드오류<NA><NA>학교 일반운영학교운영 협력교육자원봉사제운영원천코드없음코드오류코드오류코드오류코드오류코드오류<NA><NA>코드오류코드오류코드오류코드오류코드오류세출00000000
1093520115667825806전라남도순천시초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00000000
1775020118617082304서울특별시구로구초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-883356013150500751851000
34520111035374239서울특별시송파구특수학교코드오류코드오류코드오류코드오류<NA><NA>인적자원 운용교직원 복지 및 역량강화교직원 체육행사지원원천코드없음코드오류코드오류코드오류코드오류코드오류<NA><NA>코드오류코드오류코드오류코드오류코드오류세출00000000
1095920115673864750전라북도군산시초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-13187000001318700000
2882520127092524032경기도수원시 장안구중학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출000000248752500
820520114488677256서울특별시마포구중학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-552863000552863000
2278920122382155920부산광역시서구초등학교원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음<NA><NA>원천코드없음원천코드없음원천코드없음원천코드없음원천코드없음세출00-30375073003037507300
597420113550458528경기도안성시고등학교코드오류코드오류코드오류코드오류<NA><NA>교육활동 지원교무업무 운영학생선발배정원천코드없음코드오류코드오류코드오류코드오류코드오류<NA><NA>코드오류코드오류코드오류코드오류코드오류세출00000000

Duplicate rows

Most frequently occurring

회계년도층화추출학교ID시도명시군구명학교급명세출목그룹명세출목명세출세목명세출원가통계비목명학교정책사업명학교단위사업명학교세부사업명활동영역구분명세입장명세입관명세입항명세입목명세입원가통계비목명원가통계비목대분류명원가통계비목중분류명원가통계비목소분류명원가통계비목상세분류명원가통계비목명세입세출구분명세입세출결산 세출예산현액세입세출결산 세입결산금액세입세출결산 불용금액세입세출결산 다음년도사고이월금액세입세출결산 다음년도계속비이월금액세입세출결산 다음년도명시이월금액세입세출결산 보조금반환확정금액세입세출결산 세출결산금액# duplicates
020114304763823서울특별시강남구고등학교코드오류코드오류코드오류코드오류인적자원 운용교직원 복지 및 역량강화교원연수지원원천코드없음코드오류코드오류코드오류코드오류코드오류코드오류코드오류코드오류코드오류코드오류세출000000002