Overview

Dataset statistics

Number of variables15
Number of observations28
Missing cells50
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory130.7 B

Variable types

Numeric2
Categorical10
Unsupported1
Boolean1
DateTime1

Dataset

Description융자신청교 심사에 관한 데이터(계정항목관리코드, 계정명, 재정계정항목구분코드명, 등록일자 등)를 제공하였으나 현재는 차세대 시스템이 개발완료 되어 본 시스템은 더이상 신규 데이터가 생성되지 않고 있음
Author한국사학진흥재단
URLhttps://www.data.go.kr/data/15042307/fileData.do

Alerts

재정회계구분 내용 is highly overall correlated with 재정회계구분 and 1 other fieldsHigh correlation
재정계정항목구분코드명 is highly overall correlated with 계정코드 and 5 other fieldsHigh correlation
계정명 is highly overall correlated with 계정항목관리코드 and 6 other fieldsHigh correlation
수정자 is highly overall correlated with 계정항목관리코드 and 11 other fieldsHigh correlation
계정항목수식코드 is highly overall correlated with 수정자High correlation
쿼리등록여부 is highly overall correlated with 계정항목관리코드 and 3 other fieldsHigh correlation
등록자 is highly overall correlated with 쿼리등록여부 and 2 other fieldsHigh correlation
재정계정항목구분내용 is highly overall correlated with 계정코드 and 5 other fieldsHigh correlation
등록일자 is highly overall correlated with 계정항목관리코드 and 8 other fieldsHigh correlation
재정회계구분 is highly overall correlated with 재정회계구분 내용 and 1 other fieldsHigh correlation
재정계정항목구분코드 is highly overall correlated with 계정코드 and 5 other fieldsHigh correlation
계정항목관리코드 is highly overall correlated with 쿼리등록여부 and 3 other fieldsHigh correlation
계정코드 is highly overall correlated with 재정계정항목구분코드 and 5 other fieldsHigh correlation
수정자 is highly imbalanced (62.9%)Imbalance
쿼리 has 28 (100.0%) missing valuesMissing
수정일자 has 22 (78.6%) missing valuesMissing
쿼리 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:18:13.327491
Analysis finished2023-12-12 10:18:15.047258
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계정항목관리코드
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20088219
Minimum20070001
Maximum20100001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T19:18:15.124546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070001
5-th percentile20073501
Q120090003
median20090006
Q320090008
95-th percentile20090011
Maximum20100001
Range30000
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation6119.5332
Coefficient of variation (CV)0.00030463294
Kurtosis4.8486439
Mean20088219
Median Absolute Deviation (MAD)2.5
Skewness-1.9905869
Sum5.6247014 × 108
Variance37448687
MonotonicityNot monotonic
2023-12-12T19:18:15.292161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20090004 4
14.3%
20090007 4
14.3%
20090008 4
14.3%
20090001 2
7.1%
20070001 2
7.1%
20080001 2
7.1%
20090005 2
7.1%
20090006 2
7.1%
20100001 1
 
3.6%
20090002 1
 
3.6%
Other values (4) 4
14.3%
ValueCountFrequency (%)
20070001 2
7.1%
20080001 2
7.1%
20090001 2
7.1%
20090002 1
 
3.6%
20090003 1
 
3.6%
20090004 4
14.3%
20090005 2
7.1%
20090006 2
7.1%
20090007 4
14.3%
20090008 4
14.3%
ValueCountFrequency (%)
20100001 1
 
3.6%
20090011 1
 
3.6%
20090010 1
 
3.6%
20090009 1
 
3.6%
20090008 4
14.3%
20090007 4
14.3%
20090006 2
7.1%
20090005 2
7.1%
20090004 4
14.3%
20090003 1
 
3.6%

계정항목수식코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
A
14 
B
8 
C
3 
D
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowB
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
A 14
50.0%
B 8
28.6%
C 3
 
10.7%
D 3
 
10.7%

Length

2023-12-12T19:18:15.497085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:15.638286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 14
50.0%
b 8
28.6%
c 3
 
10.7%
d 3
 
10.7%

재정회계구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
20
20 
10
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row10
3rd row20
4th row10
5th row10

Common Values

ValueCountFrequency (%)
20 20
71.4%
10 8
 
28.6%

Length

2023-12-12T19:18:15.779238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:15.893995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 20
71.4%
10 8
 
28.6%

재정회계구분 내용
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
교비회계
20 
법인회계
8 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교비회계
2nd row법인회계
3rd row교비회계
4th row법인회계
5th row법인회계

Common Values

ValueCountFrequency (%)
교비회계 20
71.4%
법인회계 8
 
28.6%

Length

2023-12-12T19:18:16.021438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:16.162439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교비회계 20
71.4%
법인회계 8
 
28.6%

재정계정항목구분코드
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
13
15 
14
10 
12
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row14
3rd row14
4th row14
5th row13

Common Values

ValueCountFrequency (%)
13 15
53.6%
14 10
35.7%
12 3
 
10.7%

Length

2023-12-12T19:18:16.314154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:16.456778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 15
53.6%
14 10
35.7%
12 3
 
10.7%

재정계정항목구분내용
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
단일감정평가기준계약
15 
수의계약
10 
감정평가평균가액기준계약
3 

Length

Max length12
Median length10
Mean length8.0714286
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row감정평가평균가액기준계약
2nd row수의계약
3rd row수의계약
4th row수의계약
5th row단일감정평가기준계약

Common Values

ValueCountFrequency (%)
단일감정평가기준계약 15
53.6%
수의계약 10
35.7%
감정평가평균가액기준계약 3
 
10.7%

Length

2023-12-12T19:18:16.625440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:16.785223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일감정평가기준계약 15
53.6%
수의계약 10
35.7%
감정평가평균가액기준계약 3
 
10.7%

계정코드
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1077.6429
Minimum1001
Maximum1199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T19:18:16.923993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile1015
Q11044.75
median1069
Q31091
95-th percentile1199
Maximum1199
Range198
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation53.21112
Coefficient of variation (CV)0.049377323
Kurtosis1.0214599
Mean1077.6429
Median Absolute Deviation (MAD)22
Skewness1.02866
Sum30174
Variance2831.4233
MonotonicityNot monotonic
2023-12-12T19:18:17.054434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1091 6
21.4%
1069 4
14.3%
1199 3
10.7%
1068 2
 
7.1%
1051 2
 
7.1%
1077 2
 
7.1%
1020 2
 
7.1%
1026 2
 
7.1%
1015 2
 
7.1%
1120 2
 
7.1%
ValueCountFrequency (%)
1001 1
 
3.6%
1015 2
 
7.1%
1020 2
 
7.1%
1026 2
 
7.1%
1051 2
 
7.1%
1068 2
 
7.1%
1069 4
14.3%
1077 2
 
7.1%
1091 6
21.4%
1120 2
 
7.1%
ValueCountFrequency (%)
1199 3
10.7%
1120 2
 
7.1%
1091 6
21.4%
1077 2
 
7.1%
1069 4
14.3%
1068 2
 
7.1%
1051 2
 
7.1%
1026 2
 
7.1%
1020 2
 
7.1%
1015 2
 
7.1%

쿼리
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

쿼리등록여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
24 
True
4 
ValueCountFrequency (%)
False 24
85.7%
True 4
 
14.3%
2023-12-12T19:18:17.189239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록자
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
mdcha
20 
20081004
4 
<NA>
4 

Length

Max length8
Median length5
Mean length5.2857143
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmdcha
2nd row20081004
3rd row20081004
4th row20081004
5th row<NA>

Common Values

ValueCountFrequency (%)
mdcha 20
71.4%
20081004 4
 
14.3%
<NA> 4
 
14.3%

Length

2023-12-12T19:18:17.311062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:17.456046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mdcha 20
71.4%
20081004 4
 
14.3%
na 4
 
14.3%

등록일자
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2009-05-10
8 
2009-02-10
6 
2009-01-30
4 
2009-05-11
3 
2008-10-06
2 
Other values (3)
5 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row2010-08-05
2nd row2009-01-30
3rd row2009-01-30
4th row2009-01-30
5th row2008-10-06

Common Values

ValueCountFrequency (%)
2009-05-10 8
28.6%
2009-02-10 6
21.4%
2009-01-30 4
14.3%
2009-05-11 3
 
10.7%
2008-10-06 2
 
7.1%
2008-11-26 2
 
7.1%
2009-04-17 2
 
7.1%
2010-08-05 1
 
3.6%

Length

2023-12-12T19:18:17.575398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:17.747082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009-05-10 8
28.6%
2009-02-10 6
21.4%
2009-01-30 4
14.3%
2009-05-11 3
 
10.7%
2008-10-06 2
 
7.1%
2008-11-26 2
 
7.1%
2009-04-17 2
 
7.1%
2010-08-05 1
 
3.6%

수정자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
20081004
 
2

Length

Max length8
Median length4
Mean length4.2857143
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20081004
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
92.9%
20081004 2
 
7.1%

Length

2023-12-12T19:18:17.925344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:18.072984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
20081004 2
 
7.1%

수정일자
Date

MISSING 

Distinct3
Distinct (%)50.0%
Missing22
Missing (%)78.6%
Memory size356.0 B
Minimum2008-10-08 00:00:00
Maximum2009-02-02 00:00:00
2023-12-12T19:18:18.166726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:18.292156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

계정명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
장기차입금
6 
운영수익
6 
운영비용
3 
단기차입금
2 
기본금
2 
Other values (5)
9 

Length

Max length7
Median length6
Mean length4.8928571
Min length3

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row등록금수입
2nd row장기차입금
3rd row장기차입금
4th row장기차입금
5th row운영비용

Common Values

ValueCountFrequency (%)
장기차입금 6
21.4%
운영수익 6
21.4%
운영비용 3
10.7%
단기차입금 2
 
7.1%
기본금 2
 
7.1%
법정부담전입금 2
 
7.1%
자산전입금 2
 
7.1%
경상비전입금 2
 
7.1%
장기차입금차입 2
 
7.1%
등록금수입 1
 
3.6%

Length

2023-12-12T19:18:18.460136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:18.968465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장기차입금 6
21.4%
운영수익 6
21.4%
운영비용 3
10.7%
단기차입금 2
 
7.1%
기본금 2
 
7.1%
법정부담전입금 2
 
7.1%
자산전입금 2
 
7.1%
경상비전입금 2
 
7.1%
장기차입금차입 2
 
7.1%
등록금수입 1
 
3.6%

재정계정항목구분코드명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
운영계산서
15 
대차대조표
8 
자금계산서
3 
<NA>
2 

Length

Max length5
Median length5
Mean length4.9285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자금계산서
2nd row<NA>
3rd row<NA>
4th row대차대조표
5th row운영계산서

Common Values

ValueCountFrequency (%)
운영계산서 15
53.6%
대차대조표 8
28.6%
자금계산서 3
 
10.7%
<NA> 2
 
7.1%

Length

2023-12-12T19:18:19.149053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:18:19.308998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영계산서 15
53.6%
대차대조표 8
28.6%
자금계산서 3
 
10.7%
na 2
 
7.1%

Interactions

2023-12-12T19:18:14.413984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:14.206643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:14.516274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:18:14.306617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:18:19.450358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계정항목관리코드계정항목수식코드재정회계구분재정회계구분 내용재정계정항목구분코드재정계정항목구분내용계정코드쿼리등록여부등록자등록일자수정일자계정명재정계정항목구분코드명
계정항목관리코드1.0000.0000.0000.0000.6970.6970.2021.0000.0001.0000.0000.7840.679
계정항목수식코드0.0001.0000.2770.2770.0000.0000.5410.0000.0000.0000.0000.6090.000
재정회계구분0.0000.2771.0000.9900.1680.1680.0000.0000.0000.3440.0000.0000.158
재정회계구분 내용0.0000.2770.9901.0000.1680.1680.0000.0000.0000.3440.0000.0000.158
재정계정항목구분코드0.6970.0000.1680.1681.0001.0001.0000.1700.2861.0001.0001.0001.000
재정계정항목구분내용0.6970.0000.1680.1681.0001.0001.0000.1700.2861.0001.0001.0001.000
계정코드0.2020.5410.0000.0001.0001.0001.0000.4620.3970.9491.0001.0001.000
쿼리등록여부1.0000.0000.0000.0000.1700.1700.4621.000NaN1.0001.0000.4870.150
등록자0.0000.0000.0000.0000.2860.2860.397NaN1.0001.000NaN0.7620.185
등록일자1.0000.0000.3440.3441.0001.0000.9491.0001.0001.0001.0000.8911.000
수정일자0.0000.0000.0000.0001.0001.0001.0001.000NaN1.0001.0001.0001.000
계정명0.7840.6090.0000.0001.0001.0001.0000.4870.7620.8911.0001.0001.000
재정계정항목구분코드명0.6790.0000.1580.1581.0001.0001.0000.1500.1851.0001.0001.0001.000
2023-12-12T19:18:19.655325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재정회계구분 내용재정계정항목구분코드명계정명수정자계정항목수식코드쿼리등록여부등록자재정계정항목구분내용등록일자재정회계구분재정계정항목구분코드
재정회계구분 내용1.0000.2500.0001.0000.1660.0000.0000.2670.2060.9090.267
재정계정항목구분코드명0.2501.0000.8341.0000.0000.2360.2891.0000.8850.2501.000
계정명0.0000.8341.0001.0000.3410.2940.4670.8490.6630.0000.849
수정자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
계정항목수식코드0.1660.0000.3411.0001.0000.0000.0000.0000.0000.1660.000
쿼리등록여부0.0000.2360.2941.0000.0001.0001.0000.2700.8770.0000.270
등록자0.0000.2890.4671.0000.0001.0001.0000.4490.9050.0000.449
재정계정항목구분내용0.2671.0000.8491.0000.0000.2700.4491.0000.8940.2671.000
등록일자0.2060.8850.6631.0000.0000.8770.9050.8941.0000.2060.894
재정회계구분0.9090.2500.0001.0000.1660.0000.0000.2670.2061.0000.267
재정계정항목구분코드0.2671.0000.8491.0000.0000.2700.4491.0000.8940.2671.000
2023-12-12T19:18:19.850223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계정항목관리코드계정코드계정항목수식코드재정회계구분재정회계구분 내용재정계정항목구분코드재정계정항목구분내용쿼리등록여부등록자등록일자수정자계정명재정계정항목구분코드명
계정항목관리코드1.000-0.2830.0000.0000.0000.3460.3460.9610.0000.9131.0000.5850.320
계정코드-0.2831.0000.3730.0000.0000.8170.8170.4490.3810.6341.0000.9260.808
계정항목수식코드0.0000.3731.0000.1660.1660.0000.0000.0000.0000.0001.0000.3410.000
재정회계구분0.0000.0000.1661.0000.9090.2670.2670.0000.0000.2061.0000.0000.250
재정회계구분 내용0.0000.0000.1660.9091.0000.2670.2670.0000.0000.2061.0000.0000.250
재정계정항목구분코드0.3460.8170.0000.2670.2671.0001.0000.2700.4490.8941.0000.8491.000
재정계정항목구분내용0.3460.8170.0000.2670.2671.0001.0000.2700.4490.8941.0000.8491.000
쿼리등록여부0.9610.4490.0000.0000.0000.2700.2701.0001.0000.8771.0000.2940.236
등록자0.0000.3810.0000.0000.0000.4490.4491.0001.0000.9051.0000.4670.289
등록일자0.9130.6340.0000.2060.2060.8940.8940.8770.9051.0001.0000.6630.885
수정자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
계정명0.5850.9260.3410.0000.0000.8490.8490.2940.4670.6631.0001.0000.834
재정계정항목구분코드명0.3200.8080.0000.2500.2501.0001.0000.2360.2890.8851.0000.8341.000

Missing values

2023-12-12T19:18:14.710088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:18:14.946708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

계정항목관리코드계정항목수식코드재정회계구분재정회계구분 내용재정계정항목구분코드재정계정항목구분내용계정코드쿼리쿼리등록여부등록자등록일자수정자수정일자계정명재정계정항목구분코드명
020100001A20교비회계12감정평가평균가액기준계약1001<NA>Nmdcha2010-08-05<NA><NA>등록금수입자금계산서
120090001A10법인회계14수의계약1069<NA>N200810042009-01-30<NA><NA>장기차입금<NA>
220090001B20교비회계14수의계약1069<NA>N200810042009-01-30<NA><NA>장기차입금<NA>
320090002A10법인회계14수의계약1069<NA>N200810042009-01-30200810042009-02-02장기차입금대차대조표
420070001A10법인회계13단일감정평가기준계약1199<NA>Y<NA>2008-10-06<NA>2008-10-08운영비용운영계산서
520070001B20교비회계13단일감정평가기준계약1199<NA>Y<NA>2008-10-06<NA>2008-10-08운영비용운영계산서
620090003A20교비회계14수의계약1069<NA>N200810042009-01-30200810042009-02-02장기차입금대차대조표
720080001A10법인회계13단일감정평가기준계약1091<NA>Y<NA>2008-11-26<NA>2008-11-26운영수익운영계산서
820080001B20교비회계13단일감정평가기준계약1091<NA>Y<NA>2008-11-26<NA>2008-11-26운영수익운영계산서
920090004A10법인회계14수의계약1068<NA>Nmdcha2009-02-10<NA><NA>장기차입금대차대조표
계정항목관리코드계정항목수식코드재정회계구분재정회계구분 내용재정계정항목구분코드재정계정항목구분내용계정코드쿼리쿼리등록여부등록자등록일자수정자수정일자계정명재정계정항목구분코드명
1820090008A20교비회계13단일감정평가기준계약1015<NA>Nmdcha2009-05-10<NA><NA>경상비전입금운영계산서
1920090008B20교비회계13단일감정평가기준계약1020<NA>Nmdcha2009-05-10<NA><NA>법정부담전입금운영계산서
2020090008C20교비회계13단일감정평가기준계약1026<NA>Nmdcha2009-05-10<NA><NA>자산전입금운영계산서
2120090008D20교비회계13단일감정평가기준계약1091<NA>Nmdcha2009-05-10<NA><NA>운영수익운영계산서
2220090009A20교비회계13단일감정평가기준계약1091<NA>Nmdcha2009-05-11<NA><NA>운영수익운영계산서
2320090010A20교비회계13단일감정평가기준계약1091<NA>Nmdcha2009-05-11<NA><NA>운영수익운영계산서
2420090006A20교비회계12감정평가평균가액기준계약1120<NA>Nmdcha2009-04-17<NA><NA>장기차입금차입자금계산서
2520090006B10법인회계12감정평가평균가액기준계약1120<NA>Nmdcha2009-04-17<NA><NA>장기차입금차입자금계산서
2620090007A20교비회계13단일감정평가기준계약1015<NA>Nmdcha2009-05-10<NA><NA>경상비전입금운영계산서
2720090011A20교비회계13단일감정평가기준계약1199<NA>Nmdcha2009-05-11<NA><NA>운영비용운영계산서