Overview

Dataset statistics

Number of variables25
Number of observations150
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.8 KiB
Average record size in memory223.9 B

Variable types

Categorical15
Text1
Numeric9

Dataset

Description한국국제교류재단이 한국문화를 소개하기 위해 지원한 해외 공연사업 실적에 관한 지역별, 국가별 통계정보를 제공합니다.
Author한국국제교류재단
URLhttps://www.data.go.kr/data/15112877/fileData.do

Alerts

2000년 is highly imbalanced (61.8%)Imbalance
2001년 is highly imbalanced (56.4%)Imbalance
2002년 is highly imbalanced (74.8%)Imbalance
2003년 is highly imbalanced (68.2%)Imbalance
2004년 is highly imbalanced (59.0%)Imbalance
2015년 is highly imbalanced (55.3%)Imbalance
2016년 is highly imbalanced (61.1%)Imbalance
2017년 is highly imbalanced (59.0%)Imbalance
2018년 is highly imbalanced (62.9%)Imbalance
2019년 is highly imbalanced (61.6%)Imbalance
2020년 is highly imbalanced (81.1%)Imbalance
2021년 is highly imbalanced (74.1%)Imbalance
2022년 is highly imbalanced (80.0%)Imbalance
국가 has unique valuesUnique
2005년 has 132 (88.0%) zerosZeros
2006년 has 122 (81.3%) zerosZeros
2007년 has 117 (78.0%) zerosZeros
2008년 has 106 (70.7%) zerosZeros
2009년 has 103 (68.7%) zerosZeros
2010년 has 93 (62.0%) zerosZeros
2011년 has 98 (65.3%) zerosZeros
2012년 has 106 (70.7%) zerosZeros
2013년 has 114 (76.0%) zerosZeros

Reproduction

Analysis started2024-03-14 18:14:18.963489
Analysis finished2024-03-14 18:14:19.481144
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
아시아/중동
46 
유럽
40 
아프리카
30 
북아메리카
19 
남아메리카
11 

Length

Max length6
Median length5
Mean length4.3066667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아시아/중동 46
30.7%
유럽 40
26.7%
아프리카 30
20.0%
북아메리카 19
12.7%
남아메리카 11
 
7.3%
오세아니아 4
 
2.7%

Length

2024-03-15T03:14:19.991668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:20.416609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아시아/중동 46
30.7%
유럽 40
26.7%
아프리카 30
20.0%
북아메리카 19
12.7%
남아메리카 11
 
7.3%
오세아니아 4
 
2.7%

국가
Text

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-15T03:14:21.836497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length3.9266667
Min length2

Characters and Unicode

Total characters589
Distinct characters157
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

Unique150 ?
Unique (%)100.0%

Sample

1st row과테말라
2nd row그레나다
3rd row니카라과
4th row도미니카공화국
5th row도미니카
ValueCountFrequency (%)
과테말라 1
 
0.6%
타지키스탄 1
 
0.6%
스위스 1
 
0.6%
카타르 1
 
0.6%
캄보디아 1
 
0.6%
쿠웨이트 1
 
0.6%
키르기스스탄 1
 
0.6%
타이 1
 
0.6%
타이완 1
 
0.6%
투르크메니스탄 1
 
0.6%
Other values (144) 144
93.5%
2024-03-15T03:14:23.236832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 44
 
7.5%
스 28
 
4.8%
리 21
 
3.6%
이 20
 
3.4%
르 19
 
3.2%
니 17
 
2.9%
라 17
 
2.9%
바 12
 
2.0%
카 12
 
2.0%
나 10
 
1.7%
Other values (147) 389
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 585
99.3%
Space Separator 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 44
 
7.5%
스 28
 
4.8%
리 21
 
3.6%
이 20
 
3.4%
르 19
 
3.2%
니 17
 
2.9%
라 17
 
2.9%
바 12
 
2.1%
카 12
 
2.1%
나 10
 
1.7%
Other values (146) 385
65.8%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 585
99.3%
Common 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 44
 
7.5%
스 28
 
4.8%
리 21
 
3.6%
이 20
 
3.4%
르 19
 
3.2%
니 17
 
2.9%
라 17
 
2.9%
바 12
 
2.1%
카 12
 
2.1%
나 10
 
1.7%
Other values (146) 385
65.8%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 585
99.3%
ASCII 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 44
 
7.5%
스 28
 
4.8%
리 21
 
3.6%
이 20
 
3.4%
르 19
 
3.2%
니 17
 
2.9%
라 17
 
2.9%
바 12
 
2.1%
카 12
 
2.1%
나 10
 
1.7%
Other values (146) 385
65.8%
ASCII
ValueCountFrequency (%)
4
100.0%

2000년
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
130 
1
19 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 130
86.7%
1 19
 
12.7%
2 1
 
0.7%

Length

2024-03-15T03:14:23.464684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:23.692470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 130
86.7%
1 19
 
12.7%
2 1
 
0.7%

2001년
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
125 
1
24 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 125
83.3%
1 24
 
16.0%
2 1
 
0.7%

Length

2024-03-15T03:14:24.044466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:24.309366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 125
83.3%
1 24
 
16.0%
2 1
 
0.7%

2002년
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
138 
1
 
7
2
 
4
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 138
92.0%
1 7
 
4.7%
2 4
 
2.7%
5 1
 
0.7%

Length

2024-03-15T03:14:24.503002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:24.702677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 138
92.0%
1 7
 
4.7%
2 4
 
2.7%
5 1
 
0.7%

2003년
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
135 
1
14 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 135
90.0%
1 14
 
9.3%
2 1
 
0.7%

Length

2024-03-15T03:14:24.983580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:25.237811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 135
90.0%
1 14
 
9.3%
2 1
 
0.7%

2004년
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
121 
1
26 
3
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 121
80.7%
1 26
 
17.3%
3 2
 
1.3%
2 1
 
0.7%

Length

2024-03-15T03:14:25.445455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:25.634637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 121
80.7%
1 26
 
17.3%
3 2
 
1.3%
2 1
 
0.7%

2005년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2
Minimum0
Maximum6
Zeros132
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:25.948549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74184606
Coefficient of variation (CV)3.7092303
Kurtosis37.089677
Mean0.2
Median Absolute Deviation (MAD)0
Skewness5.6580865
Sum30
Variance0.55033557
MonotonicityNot monotonic
2024-03-15T03:14:26.473523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 132
88.0%
1 14
 
9.3%
3 1
 
0.7%
5 1
 
0.7%
6 1
 
0.7%
2 1
 
0.7%
ValueCountFrequency (%)
0 132
88.0%
1 14
 
9.3%
2 1
 
0.7%
3 1
 
0.7%
5 1
 
0.7%
6 1
 
0.7%
ValueCountFrequency (%)
6 1
 
0.7%
5 1
 
0.7%
3 1
 
0.7%
2 1
 
0.7%
1 14
 
9.3%
0 132
88.0%

2006년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28666667
Minimum0
Maximum6
Zeros122
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:26.889820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7800935
Coefficient of variation (CV)2.7212564
Kurtosis23.280807
Mean0.28666667
Median Absolute Deviation (MAD)0
Skewness4.2625719
Sum43
Variance0.60854586
MonotonicityNot monotonic
2024-03-15T03:14:27.318242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 122
81.3%
1 21
 
14.0%
2 3
 
2.0%
3 2
 
1.3%
4 1
 
0.7%
6 1
 
0.7%
ValueCountFrequency (%)
0 122
81.3%
1 21
 
14.0%
2 3
 
2.0%
3 2
 
1.3%
4 1
 
0.7%
6 1
 
0.7%
ValueCountFrequency (%)
6 1
 
0.7%
4 1
 
0.7%
3 2
 
1.3%
2 3
 
2.0%
1 21
 
14.0%
0 122
81.3%

2007년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38
Minimum0
Maximum8
Zeros117
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:27.745144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0597581
Coefficient of variation (CV)2.7888371
Kurtosis29.077474
Mean0.38
Median Absolute Deviation (MAD)0
Skewness4.9149861
Sum57
Variance1.1230872
MonotonicityNot monotonic
2024-03-15T03:14:28.156120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 117
78.0%
1 23
 
15.3%
2 7
 
4.7%
8 1
 
0.7%
5 1
 
0.7%
7 1
 
0.7%
ValueCountFrequency (%)
0 117
78.0%
1 23
 
15.3%
2 7
 
4.7%
5 1
 
0.7%
7 1
 
0.7%
8 1
 
0.7%
ValueCountFrequency (%)
8 1
 
0.7%
7 1
 
0.7%
5 1
 
0.7%
2 7
 
4.7%
1 23
 
15.3%
0 117
78.0%

2008년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46
Minimum0
Maximum6
Zeros106
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:28.715268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.97368049
Coefficient of variation (CV)2.1166967
Kurtosis15.66131
Mean0.46
Median Absolute Deviation (MAD)0
Skewness3.5182897
Sum69
Variance0.94805369
MonotonicityNot monotonic
2024-03-15T03:14:29.086545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 106
70.7%
1 31
 
20.7%
2 9
 
6.0%
6 2
 
1.3%
5 1
 
0.7%
3 1
 
0.7%
ValueCountFrequency (%)
0 106
70.7%
1 31
 
20.7%
2 9
 
6.0%
3 1
 
0.7%
5 1
 
0.7%
6 2
 
1.3%
ValueCountFrequency (%)
6 2
 
1.3%
5 1
 
0.7%
3 1
 
0.7%
2 9
 
6.0%
1 31
 
20.7%
0 106
70.7%

2009년
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52
Minimum0
Maximum7
Zeros103
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:29.457571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.066387
Coefficient of variation (CV)2.0507442
Kurtosis12.786823
Mean0.52
Median Absolute Deviation (MAD)0
Skewness3.2117132
Sum78
Variance1.1371812
MonotonicityNot monotonic
2024-03-15T03:14:29.911238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 103
68.7%
1 34
 
22.7%
3 5
 
3.3%
2 4
 
2.7%
5 2
 
1.3%
7 1
 
0.7%
4 1
 
0.7%
ValueCountFrequency (%)
0 103
68.7%
1 34
 
22.7%
2 4
 
2.7%
3 5
 
3.3%
4 1
 
0.7%
5 2
 
1.3%
7 1
 
0.7%
ValueCountFrequency (%)
7 1
 
0.7%
5 2
 
1.3%
4 1
 
0.7%
3 5
 
3.3%
2 4
 
2.7%
1 34
 
22.7%
0 103
68.7%

2010년
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64666667
Minimum0
Maximum6
Zeros93
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:30.249359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1300452
Coefficient of variation (CV)1.7474926
Kurtosis7.7653443
Mean0.64666667
Median Absolute Deviation (MAD)0
Skewness2.5703748
Sum97
Variance1.2770022
MonotonicityNot monotonic
2024-03-15T03:14:30.589637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 93
62.0%
1 37
 
24.7%
2 11
 
7.3%
4 3
 
2.0%
3 3
 
2.0%
6 2
 
1.3%
5 1
 
0.7%
ValueCountFrequency (%)
0 93
62.0%
1 37
 
24.7%
2 11
 
7.3%
3 3
 
2.0%
4 3
 
2.0%
5 1
 
0.7%
6 2
 
1.3%
ValueCountFrequency (%)
6 2
 
1.3%
5 1
 
0.7%
4 3
 
2.0%
3 3
 
2.0%
2 11
 
7.3%
1 37
 
24.7%
0 93
62.0%

2011년
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.62666667
Minimum0
Maximum8
Zeros98
Zeros (%)65.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:30.935947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.55
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1789352
Coefficient of variation (CV)1.8812795
Kurtosis13.144554
Mean0.62666667
Median Absolute Deviation (MAD)0
Skewness3.1040574
Sum94
Variance1.3898881
MonotonicityNot monotonic
2024-03-15T03:14:31.311828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 98
65.3%
1 29
 
19.3%
2 15
 
10.0%
3 4
 
2.7%
6 1
 
0.7%
4 1
 
0.7%
5 1
 
0.7%
8 1
 
0.7%
ValueCountFrequency (%)
0 98
65.3%
1 29
 
19.3%
2 15
 
10.0%
3 4
 
2.7%
4 1
 
0.7%
5 1
 
0.7%
6 1
 
0.7%
8 1
 
0.7%
ValueCountFrequency (%)
8 1
 
0.7%
6 1
 
0.7%
5 1
 
0.7%
4 1
 
0.7%
3 4
 
2.7%
2 15
 
10.0%
1 29
 
19.3%
0 98
65.3%

2012년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45333333
Minimum0
Maximum5
Zeros106
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:31.663926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9238573
Coefficient of variation (CV)2.0379205
Kurtosis9.6725276
Mean0.45333333
Median Absolute Deviation (MAD)0
Skewness2.9076898
Sum68
Variance0.8535123
MonotonicityNot monotonic
2024-03-15T03:14:32.010889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 106
70.7%
1 33
 
22.0%
2 4
 
2.7%
3 3
 
2.0%
4 2
 
1.3%
5 2
 
1.3%
ValueCountFrequency (%)
0 106
70.7%
1 33
 
22.0%
2 4
 
2.7%
3 3
 
2.0%
4 2
 
1.3%
5 2
 
1.3%
ValueCountFrequency (%)
5 2
 
1.3%
4 2
 
1.3%
3 3
 
2.0%
2 4
 
2.7%
1 33
 
22.0%
0 106
70.7%

2013년
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4
Minimum0
Maximum6
Zeros114
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T03:14:32.340397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.89742361
Coefficient of variation (CV)2.243559
Kurtosis12.290617
Mean0.4
Median Absolute Deviation (MAD)0
Skewness3.1283247
Sum60
Variance0.80536913
MonotonicityNot monotonic
2024-03-15T03:14:32.674109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 114
76.0%
1 23
 
15.3%
2 6
 
4.0%
3 5
 
3.3%
4 1
 
0.7%
6 1
 
0.7%
ValueCountFrequency (%)
0 114
76.0%
1 23
 
15.3%
2 6
 
4.0%
3 5
 
3.3%
4 1
 
0.7%
6 1
 
0.7%
ValueCountFrequency (%)
6 1
 
0.7%
4 1
 
0.7%
3 5
 
3.3%
2 6
 
4.0%
1 23
 
15.3%
0 114
76.0%

2014년
Categorical

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
103 
1
36 
2
 
8
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 103
68.7%
1 36
 
24.0%
2 8
 
5.3%
3 3
 
2.0%

Length

2024-03-15T03:14:33.071723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:33.415210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 103
68.7%
1 36
 
24.0%
2 8
 
5.3%
3 3
 
2.0%

2015년
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
118 
1
22 
2
 
5
3
 
3
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 118
78.7%
1 22
 
14.7%
2 5
 
3.3%
3 3
 
2.0%
4 2
 
1.3%

Length

2024-03-15T03:14:33.796996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:34.135741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 118
78.7%
1 22
 
14.7%
2 5
 
3.3%
3 3
 
2.0%
4 2
 
1.3%

2016년
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
118 
1
28 
3
 
2
6
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 118
78.7%
1 28
 
18.7%
3 2
 
1.3%
6 1
 
0.7%
2 1
 
0.7%

Length

2024-03-15T03:14:34.439994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:34.778108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 118
78.7%
1 28
 
18.7%
3 2
 
1.3%
6 1
 
0.7%
2 1
 
0.7%

2017년
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
121 
1
26 
2
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 121
80.7%
1 26
 
17.3%
2 2
 
1.3%
3 1
 
0.7%

Length

2024-03-15T03:14:35.160968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:35.498897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 121
80.7%
1 26
 
17.3%
2 2
 
1.3%
3 1
 
0.7%

2018년
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
127 
1
19 
2
 
3
11
 
1

Length

Max length2
Median length1
Mean length1.0066667
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 127
84.7%
1 19
 
12.7%
2 3
 
2.0%
11 1
 
0.7%

Length

2024-03-15T03:14:35.883258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:36.245547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 127
84.7%
1 19
 
12.7%
2 3
 
2.0%
11 1
 
0.7%

2019년
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
122 
1
22 
2
 
3
3
 
2
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 122
81.3%
1 22
 
14.7%
2 3
 
2.0%
3 2
 
1.3%
7 1
 
0.7%

Length

2024-03-15T03:14:36.608747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:36.948378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 122
81.3%
1 22
 
14.7%
2 3
 
2.0%
3 2
 
1.3%
7 1
 
0.7%

2020년
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
143 
1
 
6
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 143
95.3%
1 6
 
4.0%
2 1
 
0.7%

Length

2024-03-15T03:14:37.202472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:37.390897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 143
95.3%
1 6
 
4.0%
2 1
 
0.7%

2021년
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
139 
1
 
10
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 139
92.7%
1 10
 
6.7%
6 1
 
0.7%

Length

2024-03-15T03:14:37.592551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:37.856191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 139
92.7%
1 10
 
6.7%
6 1
 
0.7%

2022년
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
141 
1
 
6
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 141
94.0%
1 6
 
4.0%
2 2
 
1.3%
4 1
 
0.7%

Length

2024-03-15T03:14:38.205112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:14:38.428254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 141
94.0%
1 6
 
4.0%
2 2
 
1.3%
4 1
 
0.7%

Sample

지역국가2000년2001년2002년2003년2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
0북아메리카과테말라00000000001000010000000
1북아메리카그레나다00000000000000100000000
2북아메리카니카라과00000000000000101100000
3북아메리카도미니카공화국00000010000100010010000
4북아메리카도미니카00000000000000000000000
5북아메리카멕시코01001001101121031001000
6북아메리카미국022113386766423161117160
7북아메리카바베이도스00000000000000000000000
8북아메리카벨리즈00000000000000000000000
9북아메리카세인트키츠 네비스00000000000000000000000
지역국가2000년2001년2002년2003년2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
140유럽유고슬라비아00000000000000000000000
141유럽이탈리아10000010101211110100012
142유럽체코11010011112113020011000
143유럽크로아티아10000000000000110000000
144유럽터키00001101003300140000010
145유럽포르투갈00000100001010100010010
146유럽폴란드10011010103000010000000
147유럽프랑스11203261154852001000111
148유럽핀란드00000100000002201011000
149유럽헝가리01000000201210000000000