Overview

Dataset statistics

Number of variables5
Number of observations1462
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.5 KiB
Average record size in memory43.1 B

Variable types

Numeric3
Categorical2

Dataset

DescriptionKOICA 연도별 지역별 분야별 대외무상원조지원실적(원, 달러) 정보입니다.KOICA 통계조회서비스(stat.koica.go.kr)에서도 동 데이터를 확인하실수 있습니다.
Author한국국제협력단
URLhttps://www.data.go.kr/data/15051103/fileData.do

Alerts

연도 is highly overall correlated with 원 and 1 other fieldsHigh correlation
원 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
달러 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
원 has unique valuesUnique
달러 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:29:26.450978
Analysis finished2023-12-12 07:29:27.901018
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.3748
Minimum1991
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-12T16:29:27.970853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1992
Q11999
median2007
Q32014
95-th percentile2020
Maximum2021
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8536119
Coefficient of variation (CV)0.0044127407
Kurtosis-1.1865105
Mean2006.3748
Median Absolute Deviation (MAD)8
Skewness-0.027813064
Sum2933320
Variance78.386443
MonotonicityIncreasing
2023-12-12T16:29:28.095266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2017 52
 
3.6%
2007 51
 
3.5%
2008 51
 
3.5%
2019 51
 
3.5%
2018 51
 
3.5%
2011 51
 
3.5%
2009 50
 
3.4%
2020 50
 
3.4%
1999 49
 
3.4%
2021 49
 
3.4%
Other values (21) 957
65.5%
ValueCountFrequency (%)
1991 39
2.7%
1992 40
2.7%
1993 41
2.8%
1994 45
3.1%
1995 46
3.1%
1996 44
3.0%
1997 48
3.3%
1998 48
3.3%
1999 49
3.4%
2000 47
3.2%
ValueCountFrequency (%)
2021 49
3.4%
2020 50
3.4%
2019 51
3.5%
2018 51
3.5%
2017 52
3.6%
2016 49
3.4%
2015 45
3.1%
2014 44
3.0%
2013 42
2.9%
2012 49
3.4%

지역
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
아시아
212 
아프리카
211 
중남미
210 
동구 및 CIS
202 
오세아니아
197 
Other values (3)
430 

Length

Max length8
Median length5
Mean length4.0512996
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아시아 212
14.5%
아프리카 211
14.4%
중남미 210
14.4%
동구 및 CIS 202
13.8%
오세아니아 197
13.5%
중동 195
13.3%
국제기구 176
12.0%
기타 59
 
4.0%

Length

2023-12-12T16:29:28.217353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:29:28.336850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아시아 212
11.4%
아프리카 211
11.3%
중남미 210
11.3%
동구 202
10.8%
및 202
10.8%
cis 202
10.8%
오세아니아 197
10.6%
중동 195
10.5%
국제기구 176
9.4%
기타 59
 
3.2%

사업분야
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
공공행정
222 
교육
222 
농림수산
215 
기술환경에너지
211 
보건의료
209 
Other values (2)
383 

Length

Max length7
Median length4
Mean length3.8584131
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공행정
2nd row교육
3rd row기술환경에너지
4th row기타
5th row보건의료

Common Values

ValueCountFrequency (%)
공공행정 222
15.2%
교육 222
15.2%
농림수산 215
14.7%
기술환경에너지 211
14.4%
보건의료 209
14.3%
기타 198
13.5%
긴급구호 185
12.7%

Length

2023-12-12T16:29:28.482328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:29:28.604679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공행정 222
15.2%
교육 222
15.2%
농림수산 215
14.7%
기술환경에너지 211
14.4%
보건의료 209
14.3%
기타 198
13.5%
긴급구호 185
12.7%

원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1462
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5197484 × 109
Minimum604713.5
Maximum1.1494 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-12T16:29:28.760768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum604713.5
5-th percentile27604571
Q12.1397757 × 108
median1.1280574 × 109
Q36.9294841 × 109
95-th percentile3.2869017 × 1010
Maximum1.1494 × 1011
Range1.149394 × 1011
Interquartile range (IQR)6.7155065 × 109

Descriptive statistics

Standard deviation1.2999082 × 1010
Coefficient of variation (CV)1.9938011
Kurtosis17.700467
Mean6.5197484 × 109
Median Absolute Deviation (MAD)1.0706338 × 109
Skewness3.6883468
Sum9.5318722 × 1012
Variance1.6897613 × 1020
MonotonicityNot monotonic
2023-12-12T16:29:28.907794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186222000.0 1
 
0.1%
7756634610.0 1
 
0.1%
526011119.2 1
 
0.1%
822101124.9 1
 
0.1%
2769747394.0 1
 
0.1%
237940580.6 1
 
0.1%
8996740.02 1
 
0.1%
180016734.0 1
 
0.1%
622445451.6 1
 
0.1%
6264570543.0 1
 
0.1%
Other values (1452) 1452
99.3%
ValueCountFrequency (%)
604713.5 1
0.1%
1909035.0 1
0.1%
2765441.0 1
0.1%
2929700.0 1
0.1%
3964275.0 1
0.1%
4083675.0 1
0.1%
4149046.0 1
0.1%
4850542.0 1
0.1%
6577400.0 1
0.1%
7278196.0 1
0.1%
ValueCountFrequency (%)
114940000000.0 1
0.1%
106493000000.0 1
0.1%
101267000000.0 1
0.1%
101142000000.0 1
0.1%
97148015859.0 1
0.1%
93852664171.0 1
0.1%
88564568950.0 1
0.1%
81622246854.0 1
0.1%
72667933268.0 1
0.1%
70875957541.0 1
0.1%

달러
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1462
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5842763.8
Minimum552.4324
Maximum1.0043172 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-12-12T16:29:29.042405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum552.4324
5-th percentile26652.414
Q1201895.41
median1064950
Q36188299.1
95-th percentile29054834
Maximum1.0043172 × 108
Range1.0043117 × 108
Interquartile range (IQR)5986403.7

Descriptive statistics

Standard deviation11498837
Coefficient of variation (CV)1.9680476
Kurtosis17.089518
Mean5842763.8
Median Absolute Deviation (MAD)1010321.5
Skewness3.632664
Sum8.5421207 × 109
Variance1.3222325 × 1014
MonotonicityNot monotonic
2023-12-12T16:29:29.173450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244771.2934 1
 
0.1%
6889274.9 1
 
0.1%
467191.6582 1
 
0.1%
730172.4175 1
 
0.1%
2501352.292 1
 
0.1%
214883.5743 1
 
0.1%
8124.9346 1
 
0.1%
162572.6848 1
 
0.1%
562129.0086 1
 
0.1%
5657518.781 1
 
0.1%
Other values (1452) 1452
99.3%
ValueCountFrequency (%)
552.4324 1
0.1%
1719.6964 1
0.1%
2445.9942 1
0.1%
3152.9272 1
0.1%
5141.1313 1
0.1%
5295.9771 1
0.1%
5453.5305 1
0.1%
5841.9043 1
0.1%
6035.8652 1
0.1%
7190.0459 1
0.1%
ValueCountFrequency (%)
100431721.0 1
0.1%
92045087.0 1
0.1%
90238252.0 1
0.1%
86795613.0 1
0.1%
84081717.03 1
0.1%
80866381.0 1
0.1%
78331706.0 1
0.1%
74565515.63 1
0.1%
69006188.92 1
0.1%
64105367.14 1
0.1%

Interactions

2023-12-12T16:29:27.313833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:26.669836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:26.952839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:27.439940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:26.761377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:27.047316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:27.549261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:26.858342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:29:27.166355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:29:29.258031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도지역사업분야원달러
연도1.0000.0000.0000.3850.383
지역0.0001.0000.1420.4220.419
사업분야0.0000.1421.0000.1980.188
원0.3850.4220.1981.0000.993
달러0.3830.4190.1880.9931.000
2023-12-12T16:29:29.362868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업분야지역
사업분야1.0000.076
지역0.0761.000
2023-12-12T16:29:29.442451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도원달러지역사업분야
연도1.0000.5430.5130.0000.000
원0.5431.0000.9970.2160.101
달러0.5130.9971.0000.2150.096
지역0.0000.2160.2151.0000.076
사업분야0.0000.1010.0960.0761.000

Missing values

2023-12-12T16:29:27.678208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:29:27.849582image/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

연도지역사업분야원달러
01991국제기구공공행정186222000.0244771.2934
11991국제기구교육156874000.0206196.1094
21991국제기구기술환경에너지28468000.037418.5068
31991국제기구기타18630000.024487.3817
41991국제기구보건의료146576000.0192660.3575
51991기타기타4862821000.06391720.557
61991동구 및 CIS공공행정453857256.0596552.6507
71991동구 및 CIS기술환경에너지64243659.084442.2435
81991동구 및 CIS긴급구호36656000.048180.8623
91991동구 및 CIS농림수산4149046.05453.5305
연도지역사업분야원달러
14522021중남미기타6575265805.05745319.0
14532021중남미긴급구호98610664.086164.0
14542021중남미농림수산13737167781.012003228.0
14552021중남미보건의료17938776843.015674500.0
14562021중동공공행정4644132352.04057939.0
14572021중동교육10450778881.09131655.0
14582021중동기술환경에너지81513815.071226.0
14592021중동기타1380598518.01206336.0
14602021중동농림수산17018180.014869.0
14612021중동보건의료7105281987.06208437.0