Overview

Dataset statistics

Number of variables265
Number of observations32
Missing cells1907
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.7 KiB
Average record size in memory2.3 KiB

Variable types

Numeric159
Categorical106

Dataset

Description국내 석유제품의 국가별 수입량(일본,중국,말레이시아,싱가폴,인도네시아,인도,파키스탄,호주,러시아,알제리,이집트,나이지리아,미국,이란,쿠웨이트,카타르,아랍에미레이트,사우디아라비아,그리스,스페인,키프로스)
URLhttps://www.data.go.kr/data/15054607/fileData.do

Alerts

북한_물량 is highly imbalanced (74.8%)Imbalance
북한_금액 is highly imbalanced (74.8%)Imbalance
북한_단가 is highly imbalanced (74.8%)Imbalance
베트남_물량 is highly imbalanced (65.8%)Imbalance
베트남_금액 is highly imbalanced (65.8%)Imbalance
베트남_단가 is highly imbalanced (65.8%)Imbalance
미얀마_물량 is highly imbalanced (79.9%)Imbalance
미얀마_금액 is highly imbalanced (79.9%)Imbalance
미얀마_단가 is highly imbalanced (79.9%)Imbalance
동티모르_물량 is highly imbalanced (79.9%)Imbalance
동티모르_금액 is highly imbalanced (79.9%)Imbalance
동티모르_단가 is highly imbalanced (79.9%)Imbalance
모리셔스_물량 is highly imbalanced (79.9%)Imbalance
모리셔스_금액 is highly imbalanced (79.9%)Imbalance
모리셔스_단가 is highly imbalanced (79.9%)Imbalance
카메룬_물량 is highly imbalanced (79.9%)Imbalance
카메룬_금액 is highly imbalanced (79.9%)Imbalance
카메룬_단가 is highly imbalanced (79.9%)Imbalance
콩고_물량 is highly imbalanced (70.1%)Imbalance
콩고_금액 is highly imbalanced (70.1%)Imbalance
콩고_단가 is highly imbalanced (70.1%)Imbalance
남아프리카공화국_물량 is highly imbalanced (74.8%)Imbalance
남아프리카공화국_금액 is highly imbalanced (74.8%)Imbalance
남아프리카공화국_단가 is highly imbalanced (74.8%)Imbalance
수단_물량 is highly imbalanced (79.9%)Imbalance
수단_금액 is highly imbalanced (79.9%)Imbalance
수단_단가 is highly imbalanced (79.9%)Imbalance
가나_물량 is highly imbalanced (79.9%)Imbalance
가나_금액 is highly imbalanced (79.9%)Imbalance
가나_단가 is highly imbalanced (79.9%)Imbalance
적도기니_물량 is highly imbalanced (79.9%)Imbalance
적도기니_금액 is highly imbalanced (79.9%)Imbalance
적도기니_단가 is highly imbalanced (79.9%)Imbalance
모잠비크_물량 is highly imbalanced (74.8%)Imbalance
모잠비크_금액 is highly imbalanced (74.8%)Imbalance
모잠비크_단가 is highly imbalanced (74.8%)Imbalance
브라질_물량 is highly imbalanced (74.8%)Imbalance
브라질_금액 is highly imbalanced (74.8%)Imbalance
브라질_단가 is highly imbalanced (74.8%)Imbalance
아르헨티나_물량 is highly imbalanced (61.8%)Imbalance
아르헨티나_금액 is highly imbalanced (61.8%)Imbalance
아르헨티나_단가 is highly imbalanced (61.8%)Imbalance
칠레_물량 is highly imbalanced (70.1%)Imbalance
칠레_금액 is highly imbalanced (70.1%)Imbalance
칠레_단가 is highly imbalanced (70.1%)Imbalance
볼리비아_물량 is highly imbalanced (79.9%)Imbalance
볼리비아_금액 is highly imbalanced (79.9%)Imbalance
볼리비아_단가 is highly imbalanced (79.9%)Imbalance
쿠바_물량 is highly imbalanced (70.1%)Imbalance
쿠바_금액 is highly imbalanced (70.1%)Imbalance
쿠바_단가 is highly imbalanced (70.1%)Imbalance
안틸리스_물량 is highly imbalanced (74.8%)Imbalance
안틸리스_금액 is highly imbalanced (74.8%)Imbalance
안틸리스_단가 is highly imbalanced (74.8%)Imbalance
콜롬비아_물량 is highly imbalanced (79.9%)Imbalance
콜롬비아_금액 is highly imbalanced (79.9%)Imbalance
콜롬비아_단가 is highly imbalanced (79.9%)Imbalance
푸에르토리코_물량 is highly imbalanced (79.9%)Imbalance
푸에르토리코_금액 is highly imbalanced (79.9%)Imbalance
푸에르토리코_단가 is highly imbalanced (79.9%)Imbalance
아루바_물량 is highly imbalanced (74.8%)Imbalance
아루바_금액 is highly imbalanced (74.8%)Imbalance
아루바_단가 is highly imbalanced (74.8%)Imbalance
중립지대_물량 is highly imbalanced (79.9%)Imbalance
중립지대_금액 is highly imbalanced (79.9%)Imbalance
중립지대_단가 is highly imbalanced (79.9%)Imbalance
이스라엘_물량 is highly imbalanced (61.8%)Imbalance
이스라엘_금액 is highly imbalanced (61.8%)Imbalance
이스라엘_단가 is highly imbalanced (61.8%)Imbalance
조지아_물량 is highly imbalanced (65.8%)Imbalance
조지아_금액 is highly imbalanced (65.8%)Imbalance
조지아_단가 is highly imbalanced (65.8%)Imbalance
독일_물량 is highly imbalanced (74.8%)Imbalance
독일_금액 is highly imbalanced (74.8%)Imbalance
독일_단가 is highly imbalanced (74.8%)Imbalance
덴마크_물량 is highly imbalanced (61.8%)Imbalance
덴마크_금액 is highly imbalanced (61.8%)Imbalance
덴마크_단가 is highly imbalanced (61.8%)Imbalance
오스트리아_물량 is highly imbalanced (79.9%)Imbalance
오스트리아_금액 is highly imbalanced (79.9%)Imbalance
오스트리아_단가 is highly imbalanced (79.9%)Imbalance
루마니아_물량 is highly imbalanced (79.9%)Imbalance
루마니아_금액 is highly imbalanced (79.9%)Imbalance
루마니아_단가 is highly imbalanced (79.9%)Imbalance
영국_단가 is highly imbalanced (56.7%)Imbalance
불가리아_물량 is highly imbalanced (79.9%)Imbalance
불가리아_금액 is highly imbalanced (79.9%)Imbalance
불가리아_단가 is highly imbalanced (79.9%)Imbalance
벨기에_물량 is highly imbalanced (61.8%)Imbalance
벨기에_금액 is highly imbalanced (61.8%)Imbalance
벨기에_단가 is highly imbalanced (61.8%)Imbalance
에스토니아_물량 is highly imbalanced (65.8%)Imbalance
에스토니아_금액 is highly imbalanced (65.8%)Imbalance
에스토니아_단가 is highly imbalanced (65.8%)Imbalance
라트비아_물량 is highly imbalanced (74.8%)Imbalance
라트비아_금액 is highly imbalanced (74.8%)Imbalance
라트비아_단가 is highly imbalanced (74.8%)Imbalance
리투아니아_물량 is highly imbalanced (79.9%)Imbalance
리투아니아_금액 is highly imbalanced (79.9%)Imbalance
리투아니아_단가 is highly imbalanced (79.9%)Imbalance
우크라이나_물량 is highly imbalanced (61.8%)Imbalance
우크라이나_금액 is highly imbalanced (61.8%)Imbalance
우크라이나_단가 is highly imbalanced (61.8%)Imbalance
지브롤터_물량 is highly imbalanced (79.9%)Imbalance
지브롤터_금액 is highly imbalanced (79.9%)Imbalance
지브롤터_단가 is highly imbalanced (79.9%)Imbalance
has 1 (3.1%) missing valuesMissing
대만_물량 has 5 (15.6%) missing valuesMissing
대만_금액 has 5 (15.6%) missing valuesMissing
대만_단가 has 5 (15.6%) missing valuesMissing
일본_물량 has 1 (3.1%) missing valuesMissing
일본_금액 has 1 (3.1%) missing valuesMissing
일본_단가 has 1 (3.1%) missing valuesMissing
중국_물량 has 1 (3.1%) missing valuesMissing
중국_금액 has 1 (3.1%) missing valuesMissing
중국_단가 has 1 (3.1%) missing valuesMissing
필리핀_물량 has 10 (31.2%) missing valuesMissing
필리핀_금액 has 10 (31.2%) missing valuesMissing
필리핀_단가 has 10 (31.2%) missing valuesMissing
태국_물량 has 11 (34.4%) missing valuesMissing
태국_금액 has 11 (34.4%) missing valuesMissing
태국_단가 has 11 (34.4%) missing valuesMissing
말레이시아_물량 has 1 (3.1%) missing valuesMissing
말레이시아_금액 has 1 (3.1%) missing valuesMissing
말레이시아_단가 has 1 (3.1%) missing valuesMissing
싱가폴_물량 has 1 (3.1%) missing valuesMissing
싱가폴_금액 has 1 (3.1%) missing valuesMissing
싱가폴_단가 has 1 (3.1%) missing valuesMissing
인도네시아_물량 has 1 (3.1%) missing valuesMissing
인도네시아_금액 has 1 (3.1%) missing valuesMissing
인도네시아_단가 has 1 (3.1%) missing valuesMissing
방글라데시_물량 has 18 (56.2%) missing valuesMissing
방글라데시_금액 has 18 (56.2%) missing valuesMissing
방글라데시_단가 has 18 (56.2%) missing valuesMissing
인도_물량 has 1 (3.1%) missing valuesMissing
인도_금액 has 1 (3.1%) missing valuesMissing
인도_단가 has 1 (3.1%) missing valuesMissing
파키스탄_물량 has 3 (9.4%) missing valuesMissing
파키스탄_금액 has 3 (9.4%) missing valuesMissing
파키스탄_단가 has 3 (9.4%) missing valuesMissing
스리랑카_물량 has 22 (68.8%) missing valuesMissing
스리랑카_금액 has 22 (68.8%) missing valuesMissing
스리랑카_단가 has 22 (68.8%) missing valuesMissing
홍콩[중]_물량 has 21 (65.6%) missing valuesMissing
홍콩[중]_금액 has 21 (65.6%) missing valuesMissing
홍콩[중]_단가 has 21 (65.6%) missing valuesMissing
브루나이_물량 has 20 (62.5%) missing valuesMissing
브루나이_금액 has 20 (62.5%) missing valuesMissing
브루나이_단가 has 20 (62.5%) missing valuesMissing
괌[미]_물량 has 26 (81.2%) missing valuesMissing
괌[미]_금액 has 26 (81.2%) missing valuesMissing
괌[미]_단가 has 26 (81.2%) missing valuesMissing
호주_물량 has 2 (6.2%) missing valuesMissing
호주_금액 has 2 (6.2%) missing valuesMissing
호주_단가 has 2 (6.2%) missing valuesMissing
뉴질랜드_물량 has 21 (65.6%) missing valuesMissing
뉴질랜드_금액 has 21 (65.6%) missing valuesMissing
뉴질랜드_단가 has 21 (65.6%) missing valuesMissing
파푸아뉴기니_물량 has 16 (50.0%) missing valuesMissing
파푸아뉴기니_금액 has 16 (50.0%) missing valuesMissing
파푸아뉴기니_단가 has 16 (50.0%) missing valuesMissing
러시아_물량 has 1 (3.1%) missing valuesMissing
러시아_금액 has 1 (3.1%) missing valuesMissing
러시아_단가 has 1 (3.1%) missing valuesMissing
튀니지_물량 has 23 (71.9%) missing valuesMissing
튀니지_금액 has 23 (71.9%) missing valuesMissing
튀니지_단가 has 23 (71.9%) missing valuesMissing
알제리_물량 has 3 (9.4%) missing valuesMissing
알제리_금액 has 3 (9.4%) missing valuesMissing
알제리_단가 has 3 (9.4%) missing valuesMissing
이집트_물량 has 1 (3.1%) missing valuesMissing
이집트_금액 has 1 (3.1%) missing valuesMissing
이집트_단가 has 1 (3.1%) missing valuesMissing
리비아_물량 has 17 (53.1%) missing valuesMissing
리비아_금액 has 17 (53.1%) missing valuesMissing
리비아_단가 has 17 (53.1%) missing valuesMissing
앙골라_물량 has 19 (59.4%) missing valuesMissing
앙골라_금액 has 19 (59.4%) missing valuesMissing
앙골라_단가 has 19 (59.4%) missing valuesMissing
나이지리아_물량 has 13 (40.6%) missing valuesMissing
나이지리아_금액 has 13 (40.6%) missing valuesMissing
나이지리아_단가 has 13 (40.6%) missing valuesMissing
모로코_물량 has 22 (68.8%) missing valuesMissing
모로코_금액 has 22 (68.8%) missing valuesMissing
모로코_단가 has 22 (68.8%) missing valuesMissing
캐나다_물량 has 25 (78.1%) missing valuesMissing
캐나다_금액 has 25 (78.1%) missing valuesMissing
캐나다_단가 has 25 (78.1%) missing valuesMissing
미국_물량 has 1 (3.1%) missing valuesMissing
미국_금액 has 1 (3.1%) missing valuesMissing
미국_단가 has 1 (3.1%) missing valuesMissing
멕시코_물량 has 16 (50.0%) missing valuesMissing
멕시코_금액 has 16 (50.0%) missing valuesMissing
멕시코_단가 has 16 (50.0%) missing valuesMissing
베네수엘라_물량 has 25 (78.1%) missing valuesMissing
베네수엘라_금액 has 25 (78.1%) missing valuesMissing
베네수엘라_단가 has 25 (78.1%) missing valuesMissing
페루_물량 has 15 (46.9%) missing valuesMissing
페루_금액 has 15 (46.9%) missing valuesMissing
페루_단가 has 15 (46.9%) missing valuesMissing
파나마_물량 has 26 (81.2%) missing valuesMissing
파나마_금액 has 26 (81.2%) missing valuesMissing
파나마_단가 has 26 (81.2%) missing valuesMissing
이란_물량 has 7 (21.9%) missing valuesMissing
이란_금액 has 7 (21.9%) missing valuesMissing
이란_단가 has 7 (21.9%) missing valuesMissing
이라크_물량 has 22 (68.8%) missing valuesMissing
이라크_금액 has 22 (68.8%) missing valuesMissing
이라크_단가 has 22 (68.8%) missing valuesMissing
쿠웨이트_물량 has 1 (3.1%) missing valuesMissing
쿠웨이트_금액 has 1 (3.1%) missing valuesMissing
쿠웨이트_단가 has 1 (3.1%) missing valuesMissing
바레인_물량 has 1 (3.1%) missing valuesMissing
바레인_금액 has 1 (3.1%) missing valuesMissing
바레인_단가 has 1 (3.1%) missing valuesMissing
카타르_물량 has 1 (3.1%) missing valuesMissing
카타르_금액 has 1 (3.1%) missing valuesMissing
카타르_단가 has 1 (3.1%) missing valuesMissing
아랍에미레이트_물량 has 1 (3.1%) missing valuesMissing
아랍에미레이트_금액 has 1 (3.1%) missing valuesMissing
아랍에미레이트_단가 has 1 (3.1%) missing valuesMissing
사우디아라비아_물량 has 1 (3.1%) missing valuesMissing
사우디아라비아_금액 has 1 (3.1%) missing valuesMissing
사우디아라비아_단가 has 1 (3.1%) missing valuesMissing
예멘_물량 has 18 (56.2%) missing valuesMissing
예멘_금액 has 18 (56.2%) missing valuesMissing
예멘_단가 has 18 (56.2%) missing valuesMissing
오만_물량 has 13 (40.6%) missing valuesMissing
오만_금액 has 13 (40.6%) missing valuesMissing
오만_단가 has 13 (40.6%) missing valuesMissing
시리아_물량 has 22 (68.8%) missing valuesMissing
시리아_금액 has 22 (68.8%) missing valuesMissing
시리아_단가 has 22 (68.8%) missing valuesMissing
터키_물량 has 23 (71.9%) missing valuesMissing
터키_금액 has 23 (71.9%) missing valuesMissing
터키_단가 has 23 (71.9%) missing valuesMissing
노르웨이_물량 has 13 (40.6%) missing valuesMissing
노르웨이_금액 has 13 (40.6%) missing valuesMissing
노르웨이_단가 has 13 (40.6%) missing valuesMissing
네덜란드_물량 has 6 (18.8%) missing valuesMissing
네덜란드_금액 has 6 (18.8%) missing valuesMissing
네덜란드_단가 has 6 (18.8%) missing valuesMissing
프랑스_물량 has 22 (68.8%) missing valuesMissing
프랑스_금액 has 22 (68.8%) missing valuesMissing
프랑스_단가 has 22 (68.8%) missing valuesMissing
그리스_물량 has 11 (34.4%) missing valuesMissing
그리스_금액 has 11 (34.4%) missing valuesMissing
그리스_단가 has 11 (34.4%) missing valuesMissing
이탈리아_물량 has 10 (31.2%) missing valuesMissing
이탈리아_금액 has 10 (31.2%) missing valuesMissing
이탈리아_단가 has 10 (31.2%) missing valuesMissing
영국_물량 has 26 (81.2%) missing valuesMissing
영국_금액 has 26 (81.2%) missing valuesMissing
스페인_물량 has 16 (50.0%) missing valuesMissing
스페인_금액 has 16 (50.0%) missing valuesMissing
스페인_단가 has 16 (50.0%) missing valuesMissing
몰타_물량 has 21 (65.6%) missing valuesMissing
몰타_금액 has 21 (65.6%) missing valuesMissing
몰타_단가 has 21 (65.6%) missing valuesMissing
키프로스_물량 has 20 (62.5%) missing valuesMissing
키프로스_금액 has 20 (62.5%) missing valuesMissing
키프로스_단가 has 20 (62.5%) missing valuesMissing
합계_물량 has 1 (3.1%) missing valuesMissing
합계_금액 has 1 (3.1%) missing valuesMissing
합계_단가 has 1 (3.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:54:47.661195
Analysis finished2023-12-12 04:54:50.990181
Duration3.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2007
Minimum1992
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:51.082371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile1993.5
Q11999.5
median2007
Q32014.5
95-th percentile2020.5
Maximum2022
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.0045302048
Kurtosis-1.2
Mean2007
Median Absolute Deviation (MAD)8
Skewness0
Sum62217
Variance82.666667
MonotonicityStrictly increasing
2023-12-12T13:54:51.259582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1992 1
 
3.1%
1993 1
 
3.1%
2022 1
 
3.1%
2021 1
 
3.1%
2020 1
 
3.1%
2019 1
 
3.1%
2018 1
 
3.1%
2017 1
 
3.1%
2016 1
 
3.1%
2015 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
1992 1
3.1%
1993 1
3.1%
1994 1
3.1%
1995 1
3.1%
1996 1
3.1%
1997 1
3.1%
1998 1
3.1%
1999 1
3.1%
2000 1
3.1%
2001 1
3.1%
ValueCountFrequency (%)
2022 1
3.1%
2021 1
3.1%
2020 1
3.1%
2019 1
3.1%
2018 1
3.1%
2017 1
3.1%
2016 1
3.1%
2015 1
3.1%
2014 1
3.1%
2013 1
3.1%

대만_물량
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing5
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean1426.9785
Minimum2.15
Maximum10666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:51.405615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.15
5-th percentile39.409
Q1282.5
median584
Q31436
95-th percentile6472.4
Maximum10666
Range10663.85
Interquartile range (IQR)1153.5

Descriptive statistics

Standard deviation2436.1528
Coefficient of variation (CV)1.7072106
Kurtosis9.5043464
Mean1426.9785
Median Absolute Deviation (MAD)387
Skewness3.0787677
Sum38528.42
Variance5934840.4
MonotonicityNot monotonic
2023-12-12T13:54:51.534372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1740.0 1
 
3.1%
971.0 1
 
3.1%
910.0 1
 
3.1%
2176.0 1
 
3.1%
300.0 1
 
3.1%
400.0 1
 
3.1%
584.0 1
 
3.1%
236.0 1
 
3.1%
118.0 1
 
3.1%
83.95 1
 
3.1%
Other values (17) 17
53.1%
(Missing) 5
 
15.6%
ValueCountFrequency (%)
2.15 1
3.1%
20.32 1
3.1%
83.95 1
3.1%
118.0 1
3.1%
161.0 1
3.1%
236.0 1
3.1%
266.0 1
3.1%
299.0 1
3.1%
300.0 1
3.1%
369.0 1
3.1%
ValueCountFrequency (%)
10666.0 1
3.1%
8153.0 1
3.1%
2551.0 1
3.1%
2386.0 1
3.1%
2176.0 1
3.1%
1740.0 1
3.1%
1499.0 1
3.1%
1373.0 1
3.1%
971.0 1
3.1%
910.0 1
3.1%

대만_금액
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing5
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean54105.741
Minimum185
Maximum366519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:51.655627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185
5-th percentile4113.3
Q113225.5
median25443
Q346171
95-th percentile214156.8
Maximum366519
Range366334
Interquartile range (IQR)32945.5

Descriptive statistics

Standard deviation81770.972
Coefficient of variation (CV)1.5113179
Kurtosis8.5116547
Mean54105.741
Median Absolute Deviation (MAD)13544
Skewness2.8319258
Sum1460855
Variance6.6864919 × 109
MonotonicityNot monotonic
2023-12-12T13:54:51.802842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
33274 1
 
3.1%
88785 1
 
3.1%
53251 1
 
3.1%
142649 1
 
3.1%
23693 1
 
3.1%
29562 1
 
3.1%
39091 1
 
3.1%
18740 1
 
3.1%
14516 1
 
3.1%
10052 1
 
3.1%
Other values (17) 17
53.1%
(Missing) 5
 
15.6%
ValueCountFrequency (%)
185 1
3.1%
2499 1
3.1%
7880 1
3.1%
10052 1
3.1%
11300 1
3.1%
11899 1
3.1%
13055 1
3.1%
13396 1
3.1%
14516 1
3.1%
15463 1
3.1%
ValueCountFrequency (%)
366519 1
3.1%
244803 1
3.1%
142649 1
3.1%
113166 1
3.1%
88785 1
3.1%
73635 1
3.1%
53251 1
3.1%
39091 1
3.1%
33274 1
3.1%
32199 1
3.1%

대만_단가
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)96.3%
Missing5
Missing (%)15.6%
Infinite0
Infinite (%)0.0%
Mean56.21
Minimum16.25
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:51.976165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.25
5-th percentile19.498
Q130.445
median44.36
Q379.115
95-th percentile122.1
Maximum123
Range106.75
Interquartile range (IQR)48.67

Descriptive statistics

Standard deviation33.147504
Coefficient of variation (CV)0.5897083
Kurtosis-0.50789713
Mean56.21
Median Absolute Deviation (MAD)22.64
Skewness0.71294043
Sum1517.67
Variance1098.757
MonotonicityNot monotonic
2023-12-12T13:54:52.111516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
123.0 2
 
6.2%
41.32 1
 
3.1%
91.46 1
 
3.1%
58.51 1
 
3.1%
65.56 1
 
3.1%
78.96 1
 
3.1%
73.93 1
 
3.1%
66.91 1
 
3.1%
79.27 1
 
3.1%
120.0 1
 
3.1%
Other values (16) 16
50.0%
(Missing) 5
 
15.6%
ValueCountFrequency (%)
16.25 1
3.1%
19.12 1
3.1%
20.38 1
3.1%
21.48 1
3.1%
21.72 1
3.1%
26.36 1
3.1%
30.03 1
3.1%
30.86 1
3.1%
32.21 1
3.1%
33.03 1
3.1%
ValueCountFrequency (%)
123.0 2
6.2%
120.0 1
3.1%
91.46 1
3.1%
86.12 1
3.1%
83.08 1
3.1%
79.27 1
3.1%
78.96 1
3.1%
73.93 1
3.1%
66.91 1
3.1%
65.56 1
3.1%

일본_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean5623.5484
Minimum337
Maximum17867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:52.231344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum337
5-th percentile828.5
Q11759
median4449
Q39484
95-th percentile13128.5
Maximum17867
Range17530
Interquartile range (IQR)7725

Descriptive statistics

Standard deviation4602.9629
Coefficient of variation (CV)0.81851575
Kurtosis-0.044660209
Mean5623.5484
Median Absolute Deviation (MAD)2967
Skewness0.8845445
Sum174330
Variance21187268
MonotonicityNot monotonic
2023-12-12T13:54:52.356832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10123 1
 
3.1%
10169 1
 
3.1%
337 1
 
3.1%
711 1
 
3.1%
946 1
 
3.1%
1187 1
 
3.1%
2320 1
 
3.1%
1518 1
 
3.1%
3320 1
 
3.1%
6048 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
337 1
3.1%
711 1
3.1%
946 1
3.1%
1187 1
3.1%
1422 1
3.1%
1482 1
3.1%
1518 1
3.1%
1531 1
3.1%
1987 1
3.1%
2212 1
3.1%
ValueCountFrequency (%)
17867 1
3.1%
13197 1
3.1%
13060 1
3.1%
11293 1
3.1%
10894 1
3.1%
10262 1
3.1%
10169 1
3.1%
10123 1
3.1%
8845 1
3.1%
8617 1
3.1%

일본_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean273884.32
Minimum34189
Maximum1345487
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:52.495389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34189
5-th percentile41583
Q1111903
median159258
Q3270481.5
95-th percentile1155175
Maximum1345487
Range1311298
Interquartile range (IQR)158578.5

Descriptive statistics

Standard deviation331707.16
Coefficient of variation (CV)1.2111214
Kurtosis5.9139752
Mean273884.32
Median Absolute Deviation (MAD)71212
Skewness2.5614976
Sum8490414
Variance1.1002964 × 1011
MonotonicityNot monotonic
2023-12-12T13:54:52.644615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
207333 1
 
3.1%
171252 1
 
3.1%
35479 1
 
3.1%
63009 1
 
3.1%
47687 1
 
3.1%
75881 1
 
3.1%
157133 1
 
3.1%
88046 1
 
3.1%
125414 1
 
3.1%
316434 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
34189 1
3.1%
35479 1
3.1%
47687 1
3.1%
63009 1
3.1%
75881 1
3.1%
85836 1
3.1%
88046 1
3.1%
108517 1
3.1%
115289 1
3.1%
125414 1
3.1%
ValueCountFrequency (%)
1345487 1
3.1%
1302156 1
3.1%
1008194 1
3.1%
435099 1
3.1%
357818 1
3.1%
316434 1
3.1%
309275 1
3.1%
282828 1
3.1%
258135 1
3.1%
214051 1
3.1%

일본_단가
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean56.855806
Minimum15.34
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:52.780484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.34
5-th percentile17.41
Q125.5
median52.32
Q380.315
95-th percentile115
Maximum120
Range104.66
Interquartile range (IQR)54.815

Descriptive statistics

Standard deviation33.692767
Coefficient of variation (CV)0.59260029
Kurtosis-1.0282305
Mean56.855806
Median Absolute Deviation (MAD)28.88
Skewness0.48827714
Sum1762.53
Variance1135.2026
MonotonicityNot monotonic
2023-12-12T13:54:52.933491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
103.0 2
 
6.2%
20.48 1
 
3.1%
105.0 1
 
3.1%
88.63 1
 
3.1%
50.43 1
 
3.1%
63.91 1
 
3.1%
67.72 1
 
3.1%
58.0 1
 
3.1%
37.78 1
 
3.1%
52.32 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
15.34 1
3.1%
16.84 1
3.1%
17.98 1
3.1%
20.03 1
3.1%
20.48 1
3.1%
21.0 1
3.1%
22.6 1
3.1%
23.44 1
3.1%
27.56 1
3.1%
29.18 1
3.1%
ValueCountFrequency (%)
120.0 1
3.1%
117.0 1
3.1%
113.0 1
3.1%
105.0 1
3.1%
103.0 2
6.2%
88.63 1
3.1%
82.84 1
3.1%
77.79 1
3.1%
67.72 1
3.1%
67.49 1
3.1%

중국_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean3353.3013
Minimum0.34
Maximum9376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:53.059069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.34
5-th percentile261.5
Q11225.5
median2793
Q34869
95-th percentile8202.5
Maximum9376
Range9375.66
Interquartile range (IQR)3643.5

Descriptive statistics

Standard deviation2591.5913
Coefficient of variation (CV)0.77284773
Kurtosis-0.29444443
Mean3353.3013
Median Absolute Deviation (MAD)1739
Skewness0.69719489
Sum103952.34
Variance6716345.5
MonotonicityNot monotonic
2023-12-12T13:54:53.201396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
531.0 1
 
3.1%
1706.0 1
 
3.1%
209.0 1
 
3.1%
888.0 1
 
3.1%
0.34 1
 
3.1%
314.0 1
 
3.1%
504.0 1
 
3.1%
1356.0 1
 
3.1%
1629.0 1
 
3.1%
2627.0 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
0.34 1
3.1%
209.0 1
3.1%
314.0 1
3.1%
504.0 1
3.1%
531.0 1
3.1%
766.0 1
3.1%
888.0 1
3.1%
1095.0 1
3.1%
1356.0 1
3.1%
1629.0 1
3.1%
ValueCountFrequency (%)
9376.0 1
3.1%
8672.0 1
3.1%
7733.0 1
3.1%
6638.0 1
3.1%
6536.0 1
3.1%
5715.0 1
3.1%
5428.0 1
3.1%
5206.0 1
3.1%
4532.0 1
3.1%
4215.0 1
3.1%

중국_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean195282.06
Minimum134
Maximum671464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:53.330576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134
5-th percentile16295
Q140190
median115059
Q3341305.5
95-th percentile606726
Maximum671464
Range671330
Interquartile range (IQR)301115.5

Descriptive statistics

Standard deviation196252.68
Coefficient of variation (CV)1.0049703
Kurtosis0.13844716
Mean195282.06
Median Absolute Deviation (MAD)94097
Skewness1.0700205
Sum6053744
Variance3.8515113 × 1010
MonotonicityNot monotonic
2023-12-12T13:54:53.458116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11884 1
 
3.1%
43443 1
 
3.1%
24365 1
 
3.1%
54997 1
 
3.1%
134 1
 
3.1%
20962 1
 
3.1%
36937 1
 
3.1%
76949 1
 
3.1%
79679 1
 
3.1%
115059 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
134 1
3.1%
11884 1
3.1%
20706 1
3.1%
20962 1
3.1%
24365 1
3.1%
29250 1
3.1%
35218 1
3.1%
36937 1
3.1%
43443 1
3.1%
45022 1
3.1%
ValueCountFrequency (%)
671464 1
3.1%
606849 1
3.1%
606603 1
3.1%
422084 1
3.1%
405310 1
3.1%
391270 1
3.1%
356540 1
3.1%
346588 1
3.1%
336023 1
3.1%
273257 1
3.1%

중국_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean66.489677
Minimum19.65
Maximum397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:53.597020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.65
5-th percentile21.685
Q128.2
median51.41
Q378.165
95-th percentile111.5
Maximum397
Range377.35
Interquartile range (IQR)49.965

Descriptive statistics

Standard deviation68.08441
Coefficient of variation (CV)1.0239847
Kurtosis19.378268
Mean66.489677
Median Absolute Deviation (MAD)24.69
Skewness4.0207242
Sum2061.18
Variance4635.4869
MonotonicityNot monotonic
2023-12-12T13:54:53.723180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
22.38 1
 
3.1%
25.47 1
 
3.1%
117.0 1
 
3.1%
61.93 1
 
3.1%
397.0 1
 
3.1%
66.76 1
 
3.1%
73.33 1
 
3.1%
56.73 1
 
3.1%
48.91 1
 
3.1%
43.79 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
19.65 1
3.1%
20.99 1
3.1%
22.38 1
3.1%
23.52 1
3.1%
25.47 1
3.1%
25.64 1
3.1%
26.72 1
3.1%
27.05 1
3.1%
29.35 1
3.1%
31.51 1
3.1%
ValueCountFrequency (%)
397.0 1
3.1%
117.0 1
3.1%
106.0 1
3.1%
101.0 1
3.1%
100.14 1
3.1%
98.63 1
3.1%
96.8 1
3.1%
78.48 1
3.1%
77.85 1
3.1%
73.33 1
3.1%

필리핀_물량
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean803.29545
Minimum89.12
Maximum2152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:54.123407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.12
5-th percentile99.961
Q1328.5
median610
Q31339.75
95-th percentile1945.35
Maximum2152
Range2062.88
Interquartile range (IQR)1011.25

Descriptive statistics

Standard deviation639.75167
Coefficient of variation (CV)0.79640893
Kurtosis-0.61913533
Mean803.29545
Median Absolute Deviation (MAD)434
Skewness0.76611667
Sum17672.5
Variance409282.21
MonotonicityNot monotonic
2023-12-12T13:54:54.271429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
333.0 1
 
3.1%
149.0 1
 
3.1%
1081.0 1
 
3.1%
471.0 1
 
3.1%
97.38 1
 
3.1%
194.0 1
 
3.1%
89.12 1
 
3.1%
490.0 1
 
3.1%
327.0 1
 
3.1%
158.0 1
 
3.1%
Other values (12) 12
37.5%
(Missing) 10
31.2%
ValueCountFrequency (%)
89.12 1
3.1%
97.38 1
3.1%
149.0 1
3.1%
158.0 1
3.1%
194.0 1
3.1%
327.0 1
3.1%
333.0 1
3.1%
379.0 1
3.1%
471.0 1
3.1%
490.0 1
3.1%
ValueCountFrequency (%)
2152.0 1
3.1%
1960.0 1
3.1%
1667.0 1
3.1%
1616.0 1
3.1%
1428.0 1
3.1%
1426.0 1
3.1%
1081.0 1
3.1%
969.0 1
3.1%
759.0 1
3.1%
707.0 1
3.1%

필리핀_금액
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean25449.636
Minimum7315
Maximum54806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:54.389935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7315
5-th percentile8051.1
Q115057
median20267.5
Q336415
95-th percentile48429.45
Maximum54806
Range47491
Interquartile range (IQR)21358

Descriptive statistics

Standard deviation13960.039
Coefficient of variation (CV)0.54853588
Kurtosis-0.75393117
Mean25449.636
Median Absolute Deviation (MAD)10756.5
Skewness0.57113952
Sum559892
Variance1.9488268 × 108
MonotonicityNot monotonic
2023-12-12T13:54:54.536239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
14830 1
 
3.1%
9725 1
 
3.1%
54806 1
 
3.1%
48668 1
 
3.1%
10290 1
 
3.1%
22360 1
 
3.1%
7963 1
 
3.1%
37274 1
 
3.1%
20279 1
 
3.1%
20256 1
 
3.1%
Other values (12) 12
37.5%
(Missing) 10
31.2%
ValueCountFrequency (%)
7315 1
3.1%
7963 1
3.1%
9725 1
3.1%
10290 1
3.1%
14830 1
3.1%
14930 1
3.1%
15438 1
3.1%
17242 1
3.1%
18293 1
3.1%
19953 1
3.1%
ValueCountFrequency (%)
54806 1
3.1%
48668 1
3.1%
43897 1
3.1%
42096 1
3.1%
37396 1
3.1%
37274 1
3.1%
33838 1
3.1%
31805 1
3.1%
31238 1
3.1%
22360 1
3.1%

필리핀_단가
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean50.669545
Minimum15.94
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:54.675180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.94
5-th percentile17.4005
Q121.4225
median30.61
Q373.365
95-th percentile115.5
Maximum129
Range113.06
Interquartile range (IQR)51.9425

Descriptive statistics

Standard deviation36.753546
Coefficient of variation (CV)0.72535773
Kurtosis-0.56166869
Mean50.669545
Median Absolute Deviation (MAD)13.59
Skewness0.91393117
Sum1114.73
Variance1350.8232
MonotonicityNot monotonic
2023-12-12T13:54:54.800070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
44.56 1
 
3.1%
65.28 1
 
3.1%
50.68 1
 
3.1%
103.0 1
 
3.1%
106.0 1
 
3.1%
116.0 1
 
3.1%
89.36 1
 
3.1%
76.06 1
 
3.1%
61.96 1
 
3.1%
129.0 1
 
3.1%
Other values (12) 12
37.5%
(Missing) 10
31.2%
ValueCountFrequency (%)
15.94 1
3.1%
17.38 1
3.1%
17.79 1
3.1%
19.3 1
3.1%
20.3 1
3.1%
21.13 1
3.1%
22.3 1
3.1%
24.02 1
3.1%
26.28 1
3.1%
27.17 1
3.1%
ValueCountFrequency (%)
129.0 1
3.1%
116.0 1
3.1%
106.0 1
3.1%
103.0 1
3.1%
89.36 1
3.1%
76.06 1
3.1%
65.28 1
3.1%
61.96 1
3.1%
50.68 1
3.1%
44.56 1
3.1%

태국_물량
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing11
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean452.00571
Minimum30.87
Maximum1509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:54.931271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.87
5-th percentile31.52
Q1222
median345
Q3629
95-th percentile1067
Maximum1509
Range1478.13
Interquartile range (IQR)407

Descriptive statistics

Standard deviation362.47153
Coefficient of variation (CV)0.80191803
Kurtosis2.4474507
Mean452.00571
Median Absolute Deviation (MAD)201
Skewness1.3819351
Sum9492.12
Variance131385.61
MonotonicityNot monotonic
2023-12-12T13:54:55.050987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
30.87 1
 
3.1%
318.0 1
 
3.1%
31.52 1
 
3.1%
216.0 1
 
3.1%
727.0 1
 
3.1%
629.0 1
 
3.1%
363.0 1
 
3.1%
327.0 1
 
3.1%
222.0 1
 
3.1%
1067.0 1
 
3.1%
Other values (11) 11
34.4%
(Missing) 11
34.4%
ValueCountFrequency (%)
30.87 1
3.1%
31.52 1
3.1%
32.73 1
3.1%
144.0 1
3.1%
216.0 1
3.1%
222.0 1
3.1%
240.0 1
3.1%
318.0 1
3.1%
327.0 1
3.1%
333.0 1
3.1%
ValueCountFrequency (%)
1509.0 1
3.1%
1067.0 1
3.1%
765.0 1
3.1%
727.0 1
3.1%
677.0 1
3.1%
629.0 1
3.1%
607.0 1
3.1%
514.0 1
3.1%
394.0 1
3.1%
363.0 1
3.1%

태국_금액
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing11
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean23333.048
Minimum599
Maximum63693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:55.169806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum599
5-th percentile685
Q18502
median16153
Q341419
95-th percentile52225
Maximum63693
Range63094
Interquartile range (IQR)32917

Descriptive statistics

Standard deviation19493.229
Coefficient of variation (CV)0.83543431
Kurtosis-0.9245943
Mean23333.048
Median Absolute Deviation (MAD)14498
Skewness0.60859412
Sum489994
Variance3.7998596 × 108
MonotonicityNot monotonic
2023-12-12T13:54:55.285120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
599 1
 
3.1%
32387 1
 
3.1%
1655 1
 
3.1%
10526 1
 
3.1%
47527 1
 
3.1%
52225 1
 
3.1%
41419 1
 
3.1%
34683 1
 
3.1%
16614 1
 
3.1%
63693 1
 
3.1%
Other values (11) 11
34.4%
(Missing) 11
34.4%
ValueCountFrequency (%)
599 1
3.1%
685 1
3.1%
1655 1
3.1%
3234 1
3.1%
6262 1
3.1%
8502 1
3.1%
10526 1
3.1%
13218 1
3.1%
13746 1
3.1%
14172 1
3.1%
ValueCountFrequency (%)
63693 1
3.1%
52225 1
3.1%
49265 1
3.1%
47527 1
3.1%
42803 1
3.1%
41419 1
3.1%
34683 1
3.1%
32387 1
3.1%
20626 1
3.1%
16614 1
3.1%

태국_단가
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing11
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean51.722381
Minimum18.15
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:55.428785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.15
5-th percentile19.4
Q127.57
median41.27
Q374.97
95-th percentile106
Maximum114
Range95.85
Interquartile range (IQR)47.4

Descriptive statistics

Standard deviation30.985282
Coefficient of variation (CV)0.59906914
Kurtosis-0.71933795
Mean51.722381
Median Absolute Deviation (MAD)20.14
Skewness0.739445
Sum1086.17
Variance960.08773
MonotonicityNot monotonic
2023-12-12T13:54:55.547712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19.4 1
 
3.1%
102.0 1
 
3.1%
52.5 1
 
3.1%
48.68 1
 
3.1%
65.35 1
 
3.1%
83.03 1
 
3.1%
114.0 1
 
3.1%
106.0 1
 
3.1%
74.97 1
 
3.1%
59.7 1
 
3.1%
Other values (11) 11
34.4%
(Missing) 11
34.4%
ValueCountFrequency (%)
18.15 1
3.1%
19.4 1
3.1%
20.94 1
3.1%
21.13 1
3.1%
22.42 1
3.1%
27.57 1
3.1%
28.37 1
3.1%
30.47 1
3.1%
33.56 1
3.1%
35.43 1
3.1%
ValueCountFrequency (%)
114.0 1
3.1%
106.0 1
3.1%
102.0 1
3.1%
83.03 1
3.1%
81.23 1
3.1%
74.97 1
3.1%
65.35 1
3.1%
59.7 1
3.1%
52.5 1
3.1%
48.68 1
3.1%

말레이시아_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean10070.097
Minimum890
Maximum23923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:55.705011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum890
5-th percentile2210
Q15260.5
median9870
Q314515
95-th percentile21112
Maximum23923
Range23033
Interquartile range (IQR)9254.5

Descriptive statistics

Standard deviation6069.0301
Coefficient of variation (CV)0.60267843
Kurtosis-0.40668111
Mean10070.097
Median Absolute Deviation (MAD)4847
Skewness0.54911655
Sum312173
Variance36833126
MonotonicityNot monotonic
2023-12-12T13:54:55.855054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
890 1
 
3.1%
1980 1
 
3.1%
10372 1
 
3.1%
14866 1
 
3.1%
9870 1
 
3.1%
10496 1
 
3.1%
23923 1
 
3.1%
15068 1
 
3.1%
21780 1
 
3.1%
17020 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
890 1
3.1%
1980 1
3.1%
2440 1
3.1%
3087 1
3.1%
3461 1
3.1%
4030 1
3.1%
4829 1
3.1%
4838 1
3.1%
5683 1
3.1%
6513 1
3.1%
ValueCountFrequency (%)
23923 1
3.1%
21780 1
3.1%
20444 1
3.1%
17292 1
3.1%
17020 1
3.1%
15068 1
3.1%
14866 1
3.1%
14717 1
3.1%
14313 1
3.1%
13951 1
3.1%

말레이시아_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean614598.26
Minimum23477
Maximum1775215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:55.977152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23477
5-th percentile46878
Q1131297
median548607
Q3945255.5
95-th percentile1588448.5
Maximum1775215
Range1751738
Interquartile range (IQR)813958.5

Descriptive statistics

Standard deviation525551.22
Coefficient of variation (CV)0.85511342
Kurtosis-0.63444828
Mean614598.26
Median Absolute Deviation (MAD)419954
Skewness0.60725038
Sum19052546
Variance2.7620409 × 1011
MonotonicityNot monotonic
2023-12-12T13:54:56.100097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
23477 1
 
3.1%
47476 1
 
3.1%
915636 1
 
3.1%
1060238 1
 
3.1%
537086 1
 
3.1%
733452 1
 
3.1%
1697411 1
 
3.1%
841116 1
 
3.1%
823820 1
 
3.1%
867108 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
23477 1
3.1%
46280 1
3.1%
47476 1
3.1%
77807 1
3.1%
80754 1
3.1%
89386 1
3.1%
106624 1
3.1%
128653 1
3.1%
133941 1
3.1%
162298 1
3.1%
ValueCountFrequency (%)
1775215 1
3.1%
1697411 1
3.1%
1479486 1
3.1%
1307608 1
3.1%
1082415 1
3.1%
1060238 1
3.1%
1037943 1
3.1%
974875 1
3.1%
915636 1
3.1%
913121 1
3.1%

말레이시아_단가
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean51.46871
Minimum15.73
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:56.231261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.73
5-th percentile18.865
Q125.79
median49.42
Q371.135
95-th percentile103
Maximum112
Range96.27
Interquartile range (IQR)45.345

Descriptive statistics

Standard deviation28.677446
Coefficient of variation (CV)0.55718214
Kurtosis-0.77778396
Mean51.46871
Median Absolute Deviation (MAD)22.95
Skewness0.59366584
Sum1595.53
Variance822.3959
MonotonicityNot monotonic
2023-12-12T13:54:56.363907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
103.0 2
 
6.2%
26.37 1
 
3.1%
80.46 1
 
3.1%
88.28 1
 
3.1%
71.32 1
 
3.1%
54.41 1
 
3.1%
69.88 1
 
3.1%
70.95 1
 
3.1%
55.82 1
 
3.1%
37.83 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
15.73 1
3.1%
18.76 1
3.1%
18.97 1
3.1%
20.04 1
3.1%
22.54 1
3.1%
23.93 1
3.1%
23.97 1
3.1%
25.21 1
3.1%
26.37 1
3.1%
27.69 1
3.1%
ValueCountFrequency (%)
112.0 1
3.1%
103.0 2
6.2%
93.73 1
3.1%
88.28 1
3.1%
80.46 1
3.1%
72.37 1
3.1%
71.32 1
3.1%
70.95 1
3.1%
69.88 1
3.1%
63.8 1
3.1%

싱가폴_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean10628.806
Minimum1594
Maximum21984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:56.475481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1594
5-th percentile1672.5
Q16441
median10390
Q314307
95-th percentile19427
Maximum21984
Range20390
Interquartile range (IQR)7866

Descriptive statistics

Standard deviation5801.8492
Coefficient of variation (CV)0.54586084
Kurtosis-0.8792936
Mean10628.806
Median Absolute Deviation (MAD)3924
Skewness0.1000339
Sum329493
Variance33661454
MonotonicityNot monotonic
2023-12-12T13:54:56.597022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
14314 1
 
3.1%
20410 1
 
3.1%
6863 1
 
3.1%
13728 1
 
3.1%
9737 1
 
3.1%
9338 1
 
3.1%
6684 1
 
3.1%
16111 1
 
3.1%
21984 1
 
3.1%
14169 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
1594 1
3.1%
1595 1
3.1%
1750 1
3.1%
2625 1
3.1%
2723 1
3.1%
5365 1
3.1%
5939 1
3.1%
6198 1
3.1%
6684 1
3.1%
6863 1
3.1%
ValueCountFrequency (%)
21984 1
3.1%
20410 1
3.1%
18444 1
3.1%
18403 1
3.1%
17589 1
3.1%
16278 1
3.1%
16111 1
3.1%
14314 1
3.1%
14300 1
3.1%
14184 1
3.1%

싱가폴_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean532345.29
Minimum60971
Maximum1877723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:56.724871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60971
5-th percentile85672.5
Q1204160
median418845
Q3645481
95-th percentile1514059.5
Maximum1877723
Range1816752
Interquartile range (IQR)441321

Descriptive statistics

Standard deviation461371.43
Coefficient of variation (CV)0.86667702
Kurtosis2.1216204
Mean532345.29
Median Absolute Deviation (MAD)230700
Skewness1.5298551
Sum16502704
Variance2.1286359 × 1011
MonotonicityNot monotonic
2023-12-12T13:54:56.838022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
306633 1
 
3.1%
387754 1
 
3.1%
612161 1
 
3.1%
968357 1
 
3.1%
451708 1
 
3.1%
593726 1
 
3.1%
438435 1
 
3.1%
864126 1
 
3.1%
848097 1
 
3.1%
678801 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
60971 1
3.1%
81607 1
3.1%
89738 1
3.1%
100549 1
3.1%
102243 1
3.1%
153299 1
3.1%
180485 1
3.1%
188145 1
3.1%
220175 1
3.1%
221061 1
3.1%
ValueCountFrequency (%)
1877723 1
3.1%
1720427 1
3.1%
1307692 1
3.1%
1088197 1
3.1%
968357 1
3.1%
864126 1
3.1%
848097 1
3.1%
678801 1
3.1%
612161 1
3.1%
609403 1
3.1%

싱가폴_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean51.266129
Minimum16.22
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:56.952194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.22
5-th percentile16.64
Q125.3
median46.63
Q368.065
95-th percentile103.5
Maximum106
Range89.78
Interquartile range (IQR)42.765

Descriptive statistics

Standard deviation29.041109
Coefficient of variation (CV)0.5664775
Kurtosis-0.95479723
Mean51.266129
Median Absolute Deviation (MAD)22.76
Skewness0.5201615
Sum1589.25
Variance843.38599
MonotonicityNot monotonic
2023-12-12T13:54:57.050289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21.42 1
 
3.1%
19.0 1
 
3.1%
89.2 1
 
3.1%
70.54 1
 
3.1%
46.39 1
 
3.1%
63.58 1
 
3.1%
65.59 1
 
3.1%
53.64 1
 
3.1%
38.58 1
 
3.1%
47.91 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
16.22 1
3.1%
16.52 1
3.1%
16.76 1
3.1%
19.0 1
3.1%
19.85 1
3.1%
21.42 1
3.1%
23.38 1
3.1%
23.87 1
3.1%
26.73 1
3.1%
27.65 1
3.1%
ValueCountFrequency (%)
106.0 1
3.1%
105.0 1
3.1%
102.0 1
3.1%
91.44 1
3.1%
91.17 1
3.1%
89.2 1
3.1%
78.08 1
3.1%
70.54 1
3.1%
65.59 1
3.1%
64.14 1
3.1%

인도네시아_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean6906.4181
Minimum7.96
Maximum19495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:57.152628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.96
5-th percentile271
Q11829.5
median5425
Q310788.5
95-th percentile17904.5
Maximum19495
Range19487.04
Interquartile range (IQR)8959

Descriptive statistics

Standard deviation5914.2631
Coefficient of variation (CV)0.85634305
Kurtosis-0.5683394
Mean6906.4181
Median Absolute Deviation (MAD)4571
Skewness0.73528445
Sum214098.96
Variance34978508
MonotonicityNot monotonic
2023-12-12T13:54:57.270090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8952.0 1
 
3.1%
4617.0 1
 
3.1%
1529.0 1
 
3.1%
854.0 1
 
3.1%
312.0 1
 
3.1%
708.0 1
 
3.1%
7.96 1
 
3.1%
230.0 1
 
3.1%
832.0 1
 
3.1%
3354.0 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
7.96 1
3.1%
230.0 1
3.1%
312.0 1
3.1%
604.0 1
3.1%
708.0 1
3.1%
832.0 1
3.1%
854.0 1
3.1%
1529.0 1
3.1%
2130.0 1
3.1%
3028.0 1
3.1%
ValueCountFrequency (%)
19495.0 1
3.1%
18589.0 1
3.1%
17220.0 1
3.1%
15394.0 1
3.1%
15206.0 1
3.1%
14227.0 1
3.1%
12047.0 1
3.1%
11312.0 1
3.1%
10265.0 1
3.1%
8952.0 1
3.1%

인도네시아_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean245068.1
Minimum369
Maximum560925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:57.369146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile15373
Q1107255
median218753
Q3367488
95-th percentile518576.5
Maximum560925
Range560556
Interquartile range (IQR)260233

Descriptive statistics

Standard deviation166131.31
Coefficient of variation (CV)0.67789857
Kurtosis-0.96348145
Mean245068.1
Median Absolute Deviation (MAD)131720
Skewness0.25399823
Sum7597111
Variance2.7599613 × 1010
MonotonicityNot monotonic
2023-12-12T13:54:57.461888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
149140 1
 
3.1%
87033 1
 
3.1%
218753 1
 
3.1%
117145 1
 
3.1%
17629 1
 
3.1%
46618 1
 
3.1%
369 1
 
3.1%
13117 1
 
3.1%
27693 1
 
3.1%
166435 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
369 1
3.1%
13117 1
3.1%
17629 1
3.1%
27693 1
3.1%
46618 1
3.1%
60584 1
3.1%
87033 1
3.1%
97365 1
3.1%
117145 1
3.1%
130684 1
3.1%
ValueCountFrequency (%)
560925 1
3.1%
535830 1
3.1%
501323 1
3.1%
495262 1
3.1%
425973 1
3.1%
424995 1
3.1%
388879 1
3.1%
371332 1
3.1%
363644 1
3.1%
324591 1
3.1%

인도네시아_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean53.980645
Minimum15.15
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:57.559855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.15
5-th percentile16.465
Q122.48
median46.57
Q372.6
95-th percentile120
Maximum143
Range127.85
Interquartile range (IQR)50.12

Descriptive statistics

Standard deviation36.937305
Coefficient of variation (CV)0.68426943
Kurtosis-0.029354889
Mean53.980645
Median Absolute Deviation (MAD)26.03
Skewness0.92888183
Sum1673.4
Variance1364.3645
MonotonicityNot monotonic
2023-12-12T13:54:57.669900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
16.66 1
 
3.1%
18.85 1
 
3.1%
143.0 1
 
3.1%
137.0 1
 
3.1%
56.5 1
 
3.1%
65.85 1
 
3.1%
46.29 1
 
3.1%
57.02 1
 
3.1%
33.29 1
 
3.1%
49.62 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
15.15 1
3.1%
16.27 1
3.1%
16.66 1
3.1%
16.8 1
3.1%
17.46 1
3.1%
18.85 1
3.1%
20.41 1
3.1%
20.54 1
3.1%
24.42 1
3.1%
24.74 1
3.1%
ValueCountFrequency (%)
143.0 1
3.1%
137.0 1
3.1%
103.0 1
3.1%
100.51 1
3.1%
100.48 1
3.1%
100.28 1
3.1%
97.44 1
3.1%
79.35 1
3.1%
65.85 1
3.1%
63.17 1
3.1%

방글라데시_물량
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing18
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean348.70857
Minimum85.92
Maximum682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:57.765625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.92
5-th percentile108.722
Q1164.5
median280.5
Q3600.5
95-th percentile676.8
Maximum682
Range596.08
Interquartile range (IQR)436

Descriptive statistics

Standard deviation229.31686
Coefficient of variation (CV)0.65761751
Kurtosis-1.6083765
Mean348.70857
Median Absolute Deviation (MAD)147
Skewness0.49784645
Sum4881.92
Variance52586.223
MonotonicityNot monotonic
2023-12-12T13:54:57.854274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
257.0 1
 
3.1%
146.0 1
 
3.1%
163.0 1
 
3.1%
304.0 1
 
3.1%
85.92 1
 
3.1%
315.0 1
 
3.1%
626.0 1
 
3.1%
674.0 1
 
3.1%
682.0 1
 
3.1%
121.0 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 18
56.2%
ValueCountFrequency (%)
85.92 1
3.1%
121.0 1
3.1%
146.0 1
3.1%
163.0 1
3.1%
169.0 1
3.1%
171.0 1
3.1%
257.0 1
3.1%
304.0 1
3.1%
315.0 1
3.1%
524.0 1
3.1%
ValueCountFrequency (%)
682.0 1
3.1%
674.0 1
3.1%
644.0 1
3.1%
626.0 1
3.1%
524.0 1
3.1%
315.0 1
3.1%
304.0 1
3.1%
257.0 1
3.1%
171.0 1
3.1%
169.0 1
3.1%

방글라데시_금액
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing18
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean25473.714
Minimum2040
Maximum72266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:57.942111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2040
5-th percentile2309.75
Q14575.75
median14670
Q345637.75
95-th percentile67769.3
Maximum72266
Range70226
Interquartile range (IQR)41062

Descriptive statistics

Standard deviation25140.416
Coefficient of variation (CV)0.98691598
Kurtosis-0.92755311
Mean25473.714
Median Absolute Deviation (MAD)11940
Skewness0.79844448
Sum356632
Variance6.320405 × 108
MonotonicityNot monotonic
2023-12-12T13:54:58.031150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5814 1
 
3.1%
3005 1
 
3.1%
2455 1
 
3.1%
4163 1
 
3.1%
2040 1
 
3.1%
20784 1
 
3.1%
47180 1
 
3.1%
65348 1
 
3.1%
41011 1
 
3.1%
9703 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 18
56.2%
ValueCountFrequency (%)
2040 1
3.1%
2455 1
3.1%
3005 1
3.1%
4163 1
3.1%
5814 1
3.1%
9703 1
3.1%
12540 1
3.1%
16800 1
3.1%
20784 1
3.1%
41011 1
3.1%
ValueCountFrequency (%)
72266 1
3.1%
65348 1
3.1%
53523 1
3.1%
47180 1
3.1%
41011 1
3.1%
20784 1
3.1%
16800 1
3.1%
12540 1
3.1%
9703 1
3.1%
5814 1
3.1%

방글라데시_단가
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing18
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean61.517143
Minimum13.71
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:58.128339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.71
5-th percentile14.607
Q122.925
median70.05
Q392.7975
95-th percentile105.5
Maximum112
Range98.29
Interquartile range (IQR)69.8725

Descriptive statistics

Standard deviation35.730173
Coefficient of variation (CV)0.58081652
Kurtosis-1.6019637
Mean61.517143
Median Absolute Deviation (MAD)30.205
Skewness-0.17559571
Sum861.24
Variance1276.6452
MonotonicityNot monotonic
2023-12-12T13:54:58.217221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
22.65 1
 
3.1%
20.54 1
 
3.1%
15.09 1
 
3.1%
13.71 1
 
3.1%
23.75 1
 
3.1%
66.01 1
 
3.1%
75.35 1
 
3.1%
96.9 1
 
3.1%
60.15 1
 
3.1%
80.49 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 18
56.2%
ValueCountFrequency (%)
13.71 1
3.1%
15.09 1
3.1%
20.54 1
3.1%
22.65 1
3.1%
23.75 1
3.1%
60.15 1
3.1%
66.01 1
3.1%
74.09 1
3.1%
75.35 1
3.1%
80.49 1
3.1%
ValueCountFrequency (%)
112.0 1
3.1%
102.0 1
3.1%
98.51 1
3.1%
96.9 1
3.1%
80.49 1
3.1%
75.35 1
3.1%
74.09 1
3.1%
66.01 1
3.1%
60.15 1
3.1%
23.75 1
3.1%

인도_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean18349.194
Minimum315
Maximum43725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:58.339599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum315
5-th percentile3564.5
Q18128.5
median16597
Q326982.5
95-th percentile38461
Maximum43725
Range43410
Interquartile range (IQR)18854

Descriptive statistics

Standard deviation12303.628
Coefficient of variation (CV)0.67052692
Kurtosis-0.86504889
Mean18349.194
Median Absolute Deviation (MAD)9793
Skewness0.48152628
Sum568825
Variance1.5137927 × 108
MonotonicityNot monotonic
2023-12-12T13:54:58.474963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5934 1
 
3.1%
3688 1
 
3.1%
28291 1
 
3.1%
26390 1
 
3.1%
21629 1
 
3.1%
18565 1
 
3.1%
18990 1
 
3.1%
18663 1
 
3.1%
22088 1
 
3.1%
13935 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
315 1
3.1%
3441 1
3.1%
3688 1
3.1%
4185 1
3.1%
5455 1
3.1%
5516 1
3.1%
5934 1
3.1%
7184 1
3.1%
9073 1
3.1%
10317 1
3.1%
ValueCountFrequency (%)
43725 1
3.1%
39064 1
3.1%
37858 1
3.1%
37114 1
3.1%
34710 1
3.1%
34436 1
3.1%
28291 1
3.1%
27575 1
3.1%
26390 1
3.1%
24264 1
3.1%

인도_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1298747.9
Minimum5341
Maximum4615781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:58.606169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5341
5-th percentile70700.5
Q1182837.5
median978648
Q32073507
95-th percentile3810681
Maximum4615781
Range4610440
Interquartile range (IQR)1890669.5

Descriptive statistics

Standard deviation1300805.7
Coefficient of variation (CV)1.0015845
Kurtosis0.128695
Mean1298747.9
Median Absolute Deviation (MAD)845543
Skewness1.0148486
Sum40261184
Variance1.6920954 × 1012
MonotonicityNot monotonic
2023-12-12T13:54:58.832588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
130164 1
 
3.1%
70812 1
 
3.1%
2638858 1
 
3.1%
1849957 1
 
3.1%
1063972 1
 
3.1%
1103966 1
 
3.1%
1341516 1
 
3.1%
1006663 1
 
3.1%
978648 1
 
3.1%
776908 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
5341 1
3.1%
70589 1
3.1%
70812 1
3.1%
99364 1
3.1%
111011 1
3.1%
130164 1
3.1%
133105 1
3.1%
150973 1
3.1%
214702 1
3.1%
273553 1
3.1%
ValueCountFrequency (%)
4615781 1
3.1%
3920724 1
3.1%
3700638 1
3.1%
3059472 1
3.1%
2638858 1
3.1%
2604673 1
3.1%
2549427 1
3.1%
2297057 1
3.1%
1849957 1
3.1%
1812218 1
3.1%

인도_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean54.10871
Minimum16.87
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:58.960775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.87
5-th percentile17.585
Q124.815
median53.94
Q372.84
95-th percentile105.5
Maximum107
Range90.13
Interquartile range (IQR)48.025

Descriptive statistics

Standard deviation30.759106
Coefficient of variation (CV)0.56846866
Kurtosis-1.0967747
Mean54.10871
Median Absolute Deviation (MAD)27.84
Skewness0.42262316
Sum1677.37
Variance946.1226
MonotonicityNot monotonic
2023-12-12T13:54:59.105199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21.94 1
 
3.1%
19.2 1
 
3.1%
93.27 1
 
3.1%
70.1 1
 
3.1%
49.19 1
 
3.1%
59.46 1
 
3.1%
70.64 1
 
3.1%
53.94 1
 
3.1%
44.31 1
 
3.1%
55.75 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
16.87 1
3.1%
16.96 1
3.1%
18.21 1
3.1%
19.2 1
3.1%
19.54 1
3.1%
21.02 1
3.1%
21.94 1
3.1%
24.13 1
3.1%
25.5 1
3.1%
26.1 1
3.1%
ValueCountFrequency (%)
107.0 1
3.1%
106.0 1
3.1%
105.0 1
3.1%
104.0 1
3.1%
100.37 1
3.1%
93.27 1
3.1%
80.81 1
3.1%
75.04 1
3.1%
70.64 1
3.1%
70.1 1
3.1%

파키스탄_물량
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean1443.0697
Minimum90.72
Maximum3895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:59.237606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.72
5-th percentile132.78
Q1440
median1363
Q31938
95-th percentile3552.2
Maximum3895
Range3804.28
Interquartile range (IQR)1498

Descriptive statistics

Standard deviation1088.3127
Coefficient of variation (CV)0.75416508
Kurtosis-0.1907417
Mean1443.0697
Median Absolute Deviation (MAD)782
Skewness0.68264243
Sum41849.02
Variance1184424.6
MonotonicityNot monotonic
2023-12-12T13:54:59.370749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1737.0 2
 
6.2%
1938.0 1
 
3.1%
2680.0 1
 
3.1%
821.0 1
 
3.1%
2673.0 1
 
3.1%
1524.0 1
 
3.1%
1363.0 1
 
3.1%
1258.0 1
 
3.1%
440.0 1
 
3.1%
833.0 1
 
3.1%
Other values (18) 18
56.2%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
90.72 1
3.1%
93.3 1
3.1%
192.0 1
3.1%
194.0 1
3.1%
200.0 1
3.1%
275.0 1
3.1%
383.0 1
3.1%
440.0 1
3.1%
810.0 1
3.1%
821.0 1
3.1%
ValueCountFrequency (%)
3895.0 1
3.1%
3771.0 1
3.1%
3224.0 1
3.1%
2680.0 1
3.1%
2673.0 1
3.1%
2445.0 1
3.1%
2145.0 1
3.1%
1938.0 1
3.1%
1828.0 1
3.1%
1752.0 1
3.1%

파키스탄_금액
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean104494.07
Minimum1861
Maximum422316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:59.535080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1861
5-th percentile2832.2
Q119846
median75902
Q3158700
95-th percentile305550
Maximum422316
Range420455
Interquartile range (IQR)138854

Descriptive statistics

Standard deviation109202.79
Coefficient of variation (CV)1.0450621
Kurtosis1.3256668
Mean104494.07
Median Absolute Deviation (MAD)66956
Skewness1.303678
Sum3030328
Variance1.192525 × 1010
MonotonicityNot monotonic
2023-12-12T13:54:59.691942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1861 1
 
3.1%
228136 1
 
3.1%
131485 1
 
3.1%
40736 1
 
3.1%
158700 1
 
3.1%
106027 1
 
3.1%
75902 1
 
3.1%
56570 1
 
3.1%
26748 1
 
3.1%
82446 1
 
3.1%
Other values (19) 19
59.4%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
1861 1
3.1%
2227 1
3.1%
3740 1
3.1%
4067 1
3.1%
4101 1
3.1%
4736 1
3.1%
8946 1
3.1%
19846 1
3.1%
26748 1
3.1%
32326 1
3.1%
ValueCountFrequency (%)
422316 1
3.1%
322426 1
3.1%
280236 1
3.1%
249417 1
3.1%
228136 1
3.1%
175004 1
3.1%
174068 1
3.1%
158700 1
3.1%
131485 1
3.1%
117907 1
3.1%

파키스탄_단가
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean55.755517
Minimum17.2
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:54:59.813098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.2
5-th percentile19.784
Q124.49
median58.43
Q375.72
95-th percentile101.204
Maximum108
Range90.8
Interquartile range (IQR)51.23

Descriptive statistics

Standard deviation29.421446
Coefficient of variation (CV)0.52768672
Kurtosis-1.2164937
Mean55.755517
Median Absolute Deviation (MAD)26.7
Skewness0.23670142
Sum1616.91
Variance865.62148
MonotonicityNot monotonic
2023-12-12T13:54:59.965157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20.51 2
 
6.2%
81.16 1
 
3.1%
85.13 1
 
3.1%
75.72 1
 
3.1%
49.61 1
 
3.1%
59.37 1
 
3.1%
69.59 1
 
3.1%
55.71 1
 
3.1%
44.97 1
 
3.1%
60.76 1
 
3.1%
Other values (18) 18
56.2%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
17.2 1
3.1%
19.3 1
3.1%
20.51 2
6.2%
21.22 1
3.1%
23.38 1
3.1%
23.87 1
3.1%
24.49 1
3.1%
25.07 1
3.1%
33.82 1
3.1%
41.09 1
3.1%
ValueCountFrequency (%)
108.0 1
3.1%
102.0 1
3.1%
100.01 1
3.1%
98.93 1
3.1%
95.72 1
3.1%
85.13 1
3.1%
81.16 1
3.1%
75.72 1
3.1%
74.32 1
3.1%
69.59 1
3.1%

스리랑카_물량
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean206.191
Minimum58.91
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:00.507092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.91
5-th percentile89.1005
Q1138.75
median222.5
Q3263.75
95-th percentile317.6
Maximum332
Range273.09
Interquartile range (IQR)125

Descriptive statistics

Standard deviation85.698505
Coefficient of variation (CV)0.4156268
Kurtosis-0.7002557
Mean206.191
Median Absolute Deviation (MAD)67.5
Skewness-0.23330274
Sum2061.91
Variance7344.2337
MonotonicityNot monotonic
2023-12-12T13:55:00.660647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
165.0 1
 
3.1%
130.0 1
 
3.1%
225.0 1
 
3.1%
230.0 1
 
3.1%
220.0 1
 
3.1%
58.91 1
 
3.1%
126.0 1
 
3.1%
275.0 1
 
3.1%
300.0 1
 
3.1%
332.0 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
58.91 1
3.1%
126.0 1
3.1%
130.0 1
3.1%
165.0 1
3.1%
220.0 1
3.1%
225.0 1
3.1%
230.0 1
3.1%
275.0 1
3.1%
300.0 1
3.1%
332.0 1
3.1%
ValueCountFrequency (%)
332.0 1
3.1%
300.0 1
3.1%
275.0 1
3.1%
230.0 1
3.1%
225.0 1
3.1%
220.0 1
3.1%
165.0 1
3.1%
130.0 1
3.1%
126.0 1
3.1%
58.91 1
3.1%

스리랑카_금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean6983.8
Minimum1080
Maximum21649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:00.795284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1080
5-th percentile1435.5
Q13304.25
median4117.5
Q38116.5
95-th percentile18965.2
Maximum21649
Range20569
Interquartile range (IQR)4812.25

Descriptive statistics

Standard deviation6668.7315
Coefficient of variation (CV)0.95488581
Kurtosis1.6606764
Mean6983.8
Median Absolute Deviation (MAD)1699
Skewness1.5647828
Sum69838
Variance44471980
MonotonicityNot monotonic
2023-12-12T13:55:00.941910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3905 1
 
3.1%
1870 1
 
3.1%
3869 1
 
3.1%
4330 1
 
3.1%
5268 1
 
3.1%
1080 1
 
3.1%
3116 1
 
3.1%
9066 1
 
3.1%
15685 1
 
3.1%
21649 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
1080 1
3.1%
1870 1
3.1%
3116 1
3.1%
3869 1
3.1%
3905 1
3.1%
4330 1
3.1%
5268 1
3.1%
9066 1
3.1%
15685 1
3.1%
21649 1
3.1%
ValueCountFrequency (%)
21649 1
3.1%
15685 1
3.1%
9066 1
3.1%
5268 1
3.1%
4330 1
3.1%
3905 1
3.1%
3869 1
3.1%
3116 1
3.1%
1870 1
3.1%
1080 1
3.1%

스리랑카_단가
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean29.151
Minimum14.34
Maximum65.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:01.068705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.34
5-th percentile15.6225
Q118.445
median23.805
Q330.94
95-th percentile59.3865
Maximum65.16
Range50.82
Interquartile range (IQR)12.495

Descriptive statistics

Standard deviation16.706928
Coefficient of variation (CV)0.57311679
Kurtosis1.4484386
Mean29.151
Median Absolute Deviation (MAD)6.045
Skewness1.5329859
Sum291.51
Variance279.12143
MonotonicityNot monotonic
2023-12-12T13:55:01.185065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
23.65 1
 
3.1%
14.34 1
 
3.1%
17.19 1
 
3.1%
18.79 1
 
3.1%
23.96 1
 
3.1%
18.33 1
 
3.1%
24.76 1
 
3.1%
33.0 1
 
3.1%
52.33 1
 
3.1%
65.16 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
14.34 1
3.1%
17.19 1
3.1%
18.33 1
3.1%
18.79 1
3.1%
23.65 1
3.1%
23.96 1
3.1%
24.76 1
3.1%
33.0 1
3.1%
52.33 1
3.1%
65.16 1
3.1%
ValueCountFrequency (%)
65.16 1
3.1%
52.33 1
3.1%
33.0 1
3.1%
24.76 1
3.1%
23.96 1
3.1%
23.65 1
3.1%
18.79 1
3.1%
18.33 1
3.1%
17.19 1
3.1%
14.34 1
3.1%

홍콩[중]_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean680.75273
Minimum23.11
Maximum2526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:01.284760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.11
5-th percentile29.64
Q1190.5
median256
Q3708
95-th percentile2406.5
Maximum2526
Range2502.89
Interquartile range (IQR)517.5

Descriptive statistics

Standard deviation891.76837
Coefficient of variation (CV)1.309974
Kurtosis1.2916738
Mean680.75273
Median Absolute Deviation (MAD)201
Skewness1.6253746
Sum7488.28
Variance795250.83
MonotonicityNot monotonic
2023-12-12T13:55:01.396106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
256.0 1
 
3.1%
2287.0 1
 
3.1%
2526.0 1
 
3.1%
959.0 1
 
3.1%
182.0 1
 
3.1%
36.17 1
 
3.1%
204.0 1
 
3.1%
457.0 1
 
3.1%
359.0 1
 
3.1%
23.11 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
23.11 1
3.1%
36.17 1
3.1%
182.0 1
3.1%
199.0 1
3.1%
204.0 1
3.1%
256.0 1
3.1%
359.0 1
3.1%
457.0 1
3.1%
959.0 1
3.1%
2287.0 1
3.1%
ValueCountFrequency (%)
2526.0 1
3.1%
2287.0 1
3.1%
959.0 1
3.1%
457.0 1
3.1%
359.0 1
3.1%
256.0 1
3.1%
204.0 1
3.1%
199.0 1
3.1%
182.0 1
3.1%
36.17 1
3.1%

홍콩[중]_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean28004.455
Minimum3255
Maximum77017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:01.518839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3255
5-th percentile3490.5
Q19465
median18059
Q335678
95-th percentile74992.5
Maximum77017
Range73762
Interquartile range (IQR)26213

Descriptive statistics

Standard deviation25909.626
Coefficient of variation (CV)0.92519661
Kurtosis0.27255441
Mean28004.455
Median Absolute Deviation (MAD)14333
Skewness1.1482027
Sum308049
Variance6.7130875 × 108
MonotonicityNot monotonic
2023-12-12T13:55:01.659438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5872 1
 
3.1%
72968 1
 
3.1%
77017 1
 
3.1%
26787 1
 
3.1%
13058 1
 
3.1%
3255 1
 
3.1%
15951 1
 
3.1%
18059 1
 
3.1%
33390 1
 
3.1%
3726 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
3255 1
3.1%
3726 1
3.1%
5872 1
3.1%
13058 1
3.1%
15951 1
3.1%
18059 1
3.1%
26787 1
3.1%
33390 1
3.1%
37966 1
3.1%
72968 1
3.1%
ValueCountFrequency (%)
77017 1
3.1%
72968 1
3.1%
37966 1
3.1%
33390 1
3.1%
26787 1
3.1%
18059 1
3.1%
15951 1
3.1%
13058 1
3.1%
5872 1
3.1%
3726 1
3.1%

홍콩[중]_단가
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean76.076364
Minimum22.94
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:01.778813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.94
5-th percentile25.43
Q131.205
median71.71
Q391.555
95-th percentile175.5
Maximum190
Range167.06
Interquartile range (IQR)60.35

Descriptive statistics

Standard deviation55.861622
Coefficient of variation (CV)0.73428355
Kurtosis0.42408419
Mean76.076364
Median Absolute Deviation (MAD)39.8
Skewness1.1269061
Sum836.84
Variance3120.5209
MonotonicityNot monotonic
2023-12-12T13:55:01.885550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
22.94 1
 
3.1%
31.91 1
 
3.1%
30.5 1
 
3.1%
27.92 1
 
3.1%
71.71 1
 
3.1%
89.98 1
 
3.1%
78.23 1
 
3.1%
39.52 1
 
3.1%
93.13 1
 
3.1%
161.0 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
22.94 1
3.1%
27.92 1
3.1%
30.5 1
3.1%
31.91 1
3.1%
39.52 1
3.1%
71.71 1
3.1%
78.23 1
3.1%
89.98 1
3.1%
93.13 1
3.1%
161.0 1
3.1%
ValueCountFrequency (%)
190.0 1
3.1%
161.0 1
3.1%
93.13 1
3.1%
89.98 1
3.1%
78.23 1
3.1%
71.71 1
3.1%
39.52 1
3.1%
31.91 1
3.1%
30.5 1
3.1%
27.92 1
3.1%

브루나이_물량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean1281.4167
Minimum290
Maximum2161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:01.983747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum290
5-th percentile292.2
Q1602.25
median1461
Q31870.75
95-th percentile2131.3
Maximum2161
Range1871
Interquartile range (IQR)1268.5

Descriptive statistics

Standard deviation718.76984
Coefficient of variation (CV)0.56091813
Kurtosis-1.767321
Mean1281.4167
Median Absolute Deviation (MAD)638.5
Skewness-0.24436051
Sum15377
Variance516630.08
MonotonicityNot monotonic
2023-12-12T13:55:02.091377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
294 1
 
3.1%
1868 1
 
3.1%
1565 1
 
3.1%
2161 1
 
3.1%
1879 1
 
3.1%
2107 1
 
3.1%
1847 1
 
3.1%
1357 1
 
3.1%
615 1
 
3.1%
290 1
 
3.1%
Other values (2) 2
 
6.2%
(Missing) 20
62.5%
ValueCountFrequency (%)
290 1
3.1%
294 1
3.1%
564 1
3.1%
615 1
3.1%
830 1
3.1%
1357 1
3.1%
1565 1
3.1%
1847 1
3.1%
1868 1
3.1%
1879 1
3.1%
ValueCountFrequency (%)
2161 1
3.1%
2107 1
3.1%
1879 1
3.1%
1868 1
3.1%
1847 1
3.1%
1565 1
3.1%
1357 1
3.1%
830 1
3.1%
615 1
3.1%
564 1
3.1%

브루나이_금액
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean28794.083
Minimum4695
Maximum45722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:02.207048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4695
5-th percentile5584.9
Q124186
median31931
Q336507.75
95-th percentile44964.1
Maximum45722
Range41027
Interquartile range (IQR)12321.75

Descriptive statistics

Standard deviation13601.744
Coefficient of variation (CV)0.47237981
Kurtosis-0.40888235
Mean28794.083
Median Absolute Deviation (MAD)6070
Skewness-0.75944837
Sum345529
Variance1.8500743 × 108
MonotonicityNot monotonic
2023-12-12T13:55:02.325366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4695 1
 
3.1%
30714 1
 
3.1%
27951 1
 
3.1%
45722 1
 
3.1%
44344 1
 
3.1%
33148 1
 
3.1%
35485 1
 
3.1%
39408 1
 
3.1%
14940 1
 
3.1%
6313 1
 
3.1%
Other values (2) 2
 
6.2%
(Missing) 20
62.5%
ValueCountFrequency (%)
4695 1
3.1%
6313 1
3.1%
14940 1
3.1%
27268 1
3.1%
27951 1
3.1%
30714 1
3.1%
33148 1
3.1%
35485 1
3.1%
35541 1
3.1%
39408 1
3.1%
ValueCountFrequency (%)
45722 1
3.1%
44344 1
3.1%
39408 1
3.1%
35541 1
3.1%
35485 1
3.1%
33148 1
3.1%
30714 1
3.1%
27951 1
3.1%
27268 1
3.1%
14940 1
3.1%

브루나이_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean25.0775
Minimum15.73
Maximum62.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:02.420548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.73
5-th percentile15.8675
Q117.5075
median21.455
Q325.4875
95-th percentile46.4075
Maximum62.99
Range47.26
Interquartile range (IQR)7.98

Descriptive statistics

Standard deviation13.050914
Coefficient of variation (CV)0.52042326
Kurtosis7.3412326
Mean25.0775
Median Absolute Deviation (MAD)4.3
Skewness2.5585395
Sum300.93
Variance170.32637
MonotonicityNot monotonic
2023-12-12T13:55:02.525581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
15.98 1
 
3.1%
16.45 1
 
3.1%
17.86 1
 
3.1%
21.15 1
 
3.1%
23.6 1
 
3.1%
15.73 1
 
3.1%
19.22 1
 
3.1%
29.05 1
 
3.1%
24.3 1
 
3.1%
21.76 1
 
3.1%
Other values (2) 2
 
6.2%
(Missing) 20
62.5%
ValueCountFrequency (%)
15.73 1
3.1%
15.98 1
3.1%
16.45 1
3.1%
17.86 1
3.1%
19.22 1
3.1%
21.15 1
3.1%
21.76 1
3.1%
23.6 1
3.1%
24.3 1
3.1%
29.05 1
3.1%
ValueCountFrequency (%)
62.99 1
3.1%
32.84 1
3.1%
29.05 1
3.1%
24.3 1
3.1%
23.6 1
3.1%
21.76 1
3.1%
21.15 1
3.1%
19.22 1
3.1%
17.86 1
3.1%
16.45 1
3.1%

괌[미]_물량
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean447.33333
Minimum181
Maximum1126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:02.618716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181
5-th percentile188.25
Q1214.25
median270.5
Q3548
95-th percentile1001
Maximum1126
Range945
Interquartile range (IQR)333.75

Descriptive statistics

Standard deviation370.43092
Coefficient of variation (CV)0.828087
Kurtosis2.078955
Mean447.33333
Median Absolute Deviation (MAD)75
Skewness1.6110248
Sum2684
Variance137219.07
MonotonicityNot monotonic
2023-12-12T13:55:02.733722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
181 1
 
3.1%
1126 1
 
3.1%
210 1
 
3.1%
626 1
 
3.1%
314 1
 
3.1%
227 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
181 1
3.1%
210 1
3.1%
227 1
3.1%
314 1
3.1%
626 1
3.1%
1126 1
3.1%
ValueCountFrequency (%)
1126 1
3.1%
626 1
3.1%
314 1
3.1%
227 1
3.1%
210 1
3.1%
181 1
3.1%

괌[미]_금액
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean12969.833
Minimum4737
Maximum29549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:02.863574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4737
5-th percentile4909.5
Q15670.25
median8985.5
Q317994
95-th percentile27195.5
Maximum29549
Range24812
Interquartile range (IQR)12323.75

Descriptive statistics

Standard deviation9959.9368
Coefficient of variation (CV)0.76793098
Kurtosis0.0016370838
Mean12969.833
Median Absolute Deviation (MAD)3903.5
Skewness1.1087166
Sum77819
Variance99200341
MonotonicityNot monotonic
2023-12-12T13:55:02.977733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5427 1
 
3.1%
29549 1
 
3.1%
4737 1
 
3.1%
20135 1
 
3.1%
11571 1
 
3.1%
6400 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
4737 1
3.1%
5427 1
3.1%
6400 1
3.1%
11571 1
3.1%
20135 1
3.1%
29549 1
3.1%
ValueCountFrequency (%)
29549 1
3.1%
20135 1
3.1%
11571 1
3.1%
6400 1
3.1%
5427 1
3.1%
4737 1
3.1%

괌[미]_단가
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean29.345
Minimum22.57
Maximum36.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:03.063163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.57
5-th percentile23.49
Q126.74
median29.13
Q331.6325
95-th percentile35.6625
Maximum36.83
Range14.26
Interquartile range (IQR)4.8925

Descriptive statistics

Standard deviation4.9237049
Coefficient of variation (CV)0.16778684
Kurtosis0.18423147
Mean29.345
Median Absolute Deviation (MAD)2.955
Skewness0.25112932
Sum176.07
Variance24.24287
MonotonicityNot monotonic
2023-12-12T13:55:03.158751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
30.05 1
 
3.1%
26.25 1
 
3.1%
22.57 1
 
3.1%
32.16 1
 
3.1%
36.83 1
 
3.1%
28.21 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
22.57 1
3.1%
26.25 1
3.1%
28.21 1
3.1%
30.05 1
3.1%
32.16 1
3.1%
36.83 1
3.1%
ValueCountFrequency (%)
36.83 1
3.1%
32.16 1
3.1%
30.05 1
3.1%
28.21 1
3.1%
26.25 1
3.1%
22.57 1
3.1%

호주_물량
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean3378.4593
Minimum99.78
Maximum12154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:03.309085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.78
5-th percentile397.6
Q11119.5
median1893
Q34508.25
95-th percentile10884.55
Maximum12154
Range12054.22
Interquartile range (IQR)3388.75

Descriptive statistics

Standard deviation3431.1496
Coefficient of variation (CV)1.0155959
Kurtosis0.96646105
Mean3378.4593
Median Absolute Deviation (MAD)1392
Skewness1.4113256
Sum101353.78
Variance11772787
MonotonicityNot monotonic
2023-12-12T13:55:03.431046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
8618.0 1
 
3.1%
4657.0 1
 
3.1%
1715.0 1
 
3.1%
1557.0 1
 
3.1%
1993.0 1
 
3.1%
1298.0 1
 
3.1%
1850.0 1
 
3.1%
1936.0 1
 
3.1%
736.0 1
 
3.1%
6299.0 1
 
3.1%
Other values (20) 20
62.5%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
99.78 1
3.1%
394.0 1
3.1%
402.0 1
3.1%
406.0 1
3.1%
447.0 1
3.1%
736.0 1
3.1%
1076.0 1
3.1%
1105.0 1
3.1%
1163.0 1
3.1%
1298.0 1
3.1%
ValueCountFrequency (%)
12154.0 1
3.1%
11047.0 1
3.1%
10686.0 1
3.1%
8618.0 1
3.1%
7747.0 1
3.1%
6299.0 1
3.1%
5006.0 1
3.1%
4657.0 1
3.1%
4062.0 1
3.1%
3320.0 1
3.1%

호주_금액
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean221040.23
Minimum2423
Maximum1128600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:03.570250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2423
5-th percentile6497.2
Q137757
median72058
Q3300984.25
95-th percentile936713.1
Maximum1128600
Range1126177
Interquartile range (IQR)263227.25

Descriptive statistics

Standard deviation310629.34
Coefficient of variation (CV)1.4053068
Kurtosis2.7056703
Mean221040.23
Median Absolute Deviation (MAD)56339
Skewness1.867399
Sum6631207
Variance9.6490589 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:03.705661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
465251 1
 
3.1%
326638 1
 
3.1%
120357 1
 
3.1%
53731 1
 
3.1%
107801 1
 
3.1%
78584 1
 
3.1%
83602 1
 
3.1%
65345 1
 
3.1%
34348 1
 
3.1%
498044 1
 
3.1%
Other values (20) 20
62.5%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
2423 1
3.1%
6382 1
3.1%
6638 1
3.1%
8828 1
3.1%
11251 1
3.1%
20187 1
3.1%
21434 1
3.1%
34348 1
3.1%
47984 1
3.1%
51937 1
3.1%
ValueCountFrequency (%)
1128600 1
3.1%
1050006 1
3.1%
798244 1
3.1%
650055 1
3.1%
498044 1
3.1%
465251 1
3.1%
329982 1
3.1%
326638 1
3.1%
224023 1
3.1%
142003 1
3.1%

호주_단가
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean47.165333
Minimum16.19
Maximum98.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:03.840894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.19
5-th percentile16.7945
Q125.52
median44.44
Q369.4675
95-th percentile88.8325
Maximum98.26
Range82.07
Interquartile range (IQR)43.9475

Descriptive statistics

Standard deviation25.06369
Coefficient of variation (CV)0.53140067
Kurtosis-0.99698595
Mean47.165333
Median Absolute Deviation (MAD)21.405
Skewness0.48464568
Sum1414.96
Variance628.18854
MonotonicityNot monotonic
2023-12-12T13:55:04.018764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
53.98 1
 
3.1%
70.13 1
 
3.1%
70.19 1
 
3.1%
34.51 1
 
3.1%
54.08 1
 
3.1%
60.53 1
 
3.1%
45.19 1
 
3.1%
33.75 1
 
3.1%
46.68 1
 
3.1%
79.06 1
 
3.1%
Other values (20) 20
62.5%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
16.19 1
3.1%
16.34 1
3.1%
17.35 1
3.1%
19.39 1
3.1%
19.73 1
3.1%
21.79 1
3.1%
24.28 1
3.1%
25.34 1
3.1%
26.06 1
3.1%
28.0 1
3.1%
ValueCountFrequency (%)
98.26 1
3.1%
92.86 1
3.1%
83.91 1
3.1%
81.24 1
3.1%
79.06 1
3.1%
72.26 1
3.1%
70.19 1
3.1%
70.13 1
3.1%
67.48 1
3.1%
60.53 1
3.1%

뉴질랜드_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean213.42091
Minimum93.46
Maximum293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:04.158843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.46
5-th percentile93.815
Q1146
median257
Q3264.5
95-th percentile284.5
Maximum293
Range199.54
Interquartile range (IQR)118.5

Descriptive statistics

Standard deviation76.704258
Coefficient of variation (CV)0.35940367
Kurtosis-1.3511159
Mean213.42091
Median Absolute Deviation (MAD)19
Skewness-0.75460985
Sum2347.63
Variance5883.5432
MonotonicityNot monotonic
2023-12-12T13:55:04.308706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
257.0 1
 
3.1%
293.0 1
 
3.1%
276.0 1
 
3.1%
264.0 1
 
3.1%
93.46 1
 
3.1%
258.0 1
 
3.1%
94.17 1
 
3.1%
255.0 1
 
3.1%
265.0 1
 
3.1%
151.0 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
93.46 1
3.1%
94.17 1
3.1%
141.0 1
3.1%
151.0 1
3.1%
255.0 1
3.1%
257.0 1
3.1%
258.0 1
3.1%
264.0 1
3.1%
265.0 1
3.1%
276.0 1
3.1%
ValueCountFrequency (%)
293.0 1
3.1%
276.0 1
3.1%
265.0 1
3.1%
264.0 1
3.1%
258.0 1
3.1%
257.0 1
3.1%
255.0 1
3.1%
151.0 1
3.1%
141.0 1
3.1%
94.17 1
3.1%

뉴질랜드_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean10999
Minimum3723
Maximum19432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:04.439869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3723
5-th percentile3813.5
Q17204
median9553
Q315422.5
95-th percentile18401
Maximum19432
Range15709
Interquartile range (IQR)8218.5

Descriptive statistics

Standard deviation5504.042
Coefficient of variation (CV)0.50041295
Kurtosis-1.4804214
Mean10999
Median Absolute Deviation (MAD)5649
Skewness0.11790784
Sum120989
Variance30294478
MonotonicityNot monotonic
2023-12-12T13:55:04.569605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3723 1
 
3.1%
9553 1
 
3.1%
7957 1
 
3.1%
6553 1
 
3.1%
3904 1
 
3.1%
17370 1
 
3.1%
7855 1
 
3.1%
15405 1
 
3.1%
19432 1
 
3.1%
15440 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
3723 1
3.1%
3904 1
3.1%
6553 1
3.1%
7855 1
3.1%
7957 1
3.1%
9553 1
3.1%
13797 1
3.1%
15405 1
3.1%
15440 1
3.1%
17370 1
3.1%
ValueCountFrequency (%)
19432 1
3.1%
17370 1
3.1%
15440 1
3.1%
15405 1
3.1%
13797 1
3.1%
9553 1
3.1%
7957 1
3.1%
7855 1
3.1%
6553 1
3.1%
3904 1
3.1%

뉴질랜드_단가
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean56.97
Minimum14.5
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:04.703345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.5
5-th percentile19.645
Q130.725
median60.4
Q378.325
95-th percentile99.885
Maximum102
Range87.5
Interquartile range (IQR)47.6

Descriptive statistics

Standard deviation30.382081
Coefficient of variation (CV)0.53329964
Kurtosis-1.4101187
Mean56.97
Median Absolute Deviation (MAD)27.78
Skewness0.14392191
Sum626.67
Variance923.07082
MonotonicityNot monotonic
2023-12-12T13:55:04.827536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
14.5 1
 
3.1%
32.62 1
 
3.1%
28.83 1
 
3.1%
24.79 1
 
3.1%
41.77 1
 
3.1%
67.34 1
 
3.1%
83.42 1
 
3.1%
60.4 1
 
3.1%
73.23 1
 
3.1%
102.0 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
14.5 1
3.1%
24.79 1
3.1%
28.83 1
3.1%
32.62 1
3.1%
41.77 1
3.1%
60.4 1
3.1%
67.34 1
3.1%
73.23 1
3.1%
83.42 1
3.1%
97.77 1
3.1%
ValueCountFrequency (%)
102.0 1
3.1%
97.77 1
3.1%
83.42 1
3.1%
73.23 1
3.1%
67.34 1
3.1%
60.4 1
3.1%
41.77 1
3.1%
32.62 1
3.1%
28.83 1
3.1%
24.79 1
3.1%

북한_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
642
 
1
103
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
642 1
 
3.1%
103 1
 
3.1%

Length

2023-12-12T13:55:04.970100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:05.123845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
642 1
 
3.1%
103 1
 
3.1%

북한_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
14410
 
1
1641
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
14410 1
 
3.1%
1641 1
 
3.1%

Length

2023-12-12T13:55:05.257441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:05.384585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
14410 1
 
3.1%
1641 1
 
3.1%

북한_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
22.43
 
1
15.92
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
22.43 1
 
3.1%
15.92 1
 
3.1%

Length

2023-12-12T13:55:05.523010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:05.637779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
22.43 1
 
3.1%
15.92 1
 
3.1%

베트남_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
124.0
 
1
80.26
 
1
322.0
 
1
242.0
 
1

Length

Max length5
Median length4
Mean length4.125
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
124.0 1
 
3.1%
80.26 1
 
3.1%
322.0 1
 
3.1%
242.0 1
 
3.1%

Length

2023-12-12T13:55:05.754372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:05.849557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
124.0 1
 
3.1%
80.26 1
 
3.1%
322.0 1
 
3.1%
242.0 1
 
3.1%

베트남_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
3661
 
1
5203
 
1
23970
 
1
15364
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
3661 1
 
3.1%
5203 1
 
3.1%
23970 1
 
3.1%
15364 1
 
3.1%

Length

2023-12-12T13:55:05.972202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:06.109739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
3661 1
 
3.1%
5203 1
 
3.1%
23970 1
 
3.1%
15364 1
 
3.1%

베트남_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
29.57
 
1
64.83
 
1
74.54
 
1
63.37
 
1

Length

Max length5
Median length4
Mean length4.125
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
29.57 1
 
3.1%
64.83 1
 
3.1%
74.54 1
 
3.1%
63.37 1
 
3.1%

Length

2023-12-12T13:55:06.242730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:06.368443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
29.57 1
 
3.1%
64.83 1
 
3.1%
74.54 1
 
3.1%
63.37 1
 
3.1%

미얀마_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
570
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
570 1
 
3.1%

Length

2023-12-12T13:55:06.475364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:06.563992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
570 1
 
3.1%

미얀마_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
57794
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
57794 1
 
3.1%

Length

2023-12-12T13:55:06.665097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:06.757441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
57794 1
 
3.1%

미얀마_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
101
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
101 1
 
3.1%

Length

2023-12-12T13:55:06.874122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:06.974250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
101 1
 
3.1%

파푸아뉴기니_물량
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean299.1875
Minimum126
Maximum575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:07.056938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile156.75
Q1212.75
median306
Q3346
95-th percentile519.5
Maximum575
Range449
Interquartile range (IQR)133.25

Descriptive statistics

Standard deviation119.52306
Coefficient of variation (CV)0.39949217
Kurtosis0.71118747
Mean299.1875
Median Absolute Deviation (MAD)73.5
Skewness0.84661832
Sum4787
Variance14285.763
MonotonicityNot monotonic
2023-12-12T13:55:07.145549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
315 2
 
6.2%
126 1
 
3.1%
180 1
 
3.1%
209 1
 
3.1%
352 1
 
3.1%
246 1
 
3.1%
297 1
 
3.1%
231 1
 
3.1%
167 1
 
3.1%
575 1
 
3.1%
Other values (5) 5
 
15.6%
(Missing) 16
50.0%
ValueCountFrequency (%)
126 1
3.1%
167 1
3.1%
180 1
3.1%
209 1
3.1%
214 1
3.1%
231 1
3.1%
246 1
3.1%
297 1
3.1%
315 2
6.2%
337 1
3.1%
ValueCountFrequency (%)
575 1
3.1%
501 1
3.1%
378 1
3.1%
352 1
3.1%
344 1
3.1%
337 1
3.1%
315 2
6.2%
297 1
3.1%
246 1
3.1%
231 1
3.1%

파푸아뉴기니_금액
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean19614.125
Minimum6232
Maximum37180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:07.249643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6232
5-th percentile8896
Q113505
median17727.5
Q324360.5
95-th percentile32740.75
Maximum37180
Range30948
Interquartile range (IQR)10855.5

Descriptive statistics

Standard deviation8421.03
Coefficient of variation (CV)0.42933498
Kurtosis-0.28367365
Mean19614.125
Median Absolute Deviation (MAD)5353.5
Skewness0.495078
Sum313826
Variance70913747
MonotonicityNot monotonic
2023-12-12T13:55:07.367576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
12319 1
 
3.1%
29440 1
 
3.1%
23026 1
 
3.1%
21990 1
 
3.1%
18655 1
 
3.1%
15541 1
 
3.1%
16800 1
 
3.1%
6232 1
 
3.1%
9784 1
 
3.1%
15558 1
 
3.1%
Other values (6) 6
 
18.8%
(Missing) 16
50.0%
ValueCountFrequency (%)
6232 1
3.1%
9784 1
3.1%
12319 1
3.1%
12803 1
3.1%
13739 1
3.1%
15541 1
3.1%
15558 1
3.1%
16800 1
3.1%
18655 1
3.1%
21990 1
3.1%
ValueCountFrequency (%)
37180 1
3.1%
31261 1
3.1%
29440 1
3.1%
25526 1
3.1%
23972 1
3.1%
23026 1
3.1%
21990 1
3.1%
18655 1
3.1%
16800 1
3.1%
15558 1
3.1%

파푸아뉴기니_단가
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean67.831875
Minimum36.59
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:07.474139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.59
5-th percentile42.08
Q152.4075
median58.53
Q381.8075
95-th percentile105.25
Maximum106
Range69.41
Interquartile range (IQR)29.4

Descriptive statistics

Standard deviation23.303148
Coefficient of variation (CV)0.34354273
Kurtosis-1.0048525
Mean67.831875
Median Absolute Deviation (MAD)14.395
Skewness0.59432403
Sum1085.31
Variance543.0367
MonotonicityNot monotonic
2023-12-12T13:55:07.577423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
36.59 1
 
3.1%
77.99 1
 
3.1%
73.19 1
 
3.1%
43.91 1
 
3.1%
54.16 1
 
3.1%
72.5 1
 
3.1%
53.4 1
 
3.1%
49.43 1
 
3.1%
54.46 1
 
3.1%
93.26 1
 
3.1%
Other values (6) 6
 
18.8%
(Missing) 16
50.0%
ValueCountFrequency (%)
36.59 1
3.1%
43.91 1
3.1%
44.36 1
3.1%
49.43 1
3.1%
53.4 1
3.1%
54.16 1
3.1%
54.46 1
3.1%
55.89 1
3.1%
61.17 1
3.1%
72.5 1
3.1%
ValueCountFrequency (%)
106.0 1
3.1%
105.0 1
3.1%
104.0 1
3.1%
93.26 1
3.1%
77.99 1
3.1%
73.19 1
3.1%
72.5 1
3.1%
61.17 1
3.1%
55.89 1
3.1%
54.46 1
3.1%

러시아_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean15899.523
Minimum48.22
Maximum57770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:07.684980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.22
5-th percentile168.5
Q12074.5
median6834
Q323870.5
95-th percentile52958.5
Maximum57770
Range57721.78
Interquartile range (IQR)21796

Descriptive statistics

Standard deviation19028.665
Coefficient of variation (CV)1.1968073
Kurtosis-0.12089028
Mean15899.523
Median Absolute Deviation (MAD)6262
Skewness1.1868008
Sum492885.22
Variance3.6209009 × 108
MonotonicityNot monotonic
2023-12-12T13:55:07.799696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
216.0 1
 
3.1%
121.0 1
 
3.1%
16097.0 1
 
3.1%
57770.0 1
 
3.1%
53795.0 1
 
3.1%
51389.0 1
 
3.1%
52122.0 1
 
3.1%
45498.0 1
 
3.1%
40496.0 1
 
3.1%
31236.0 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
48.22 1
3.1%
121.0 1
3.1%
216.0 1
3.1%
449.0 1
3.1%
572.0 1
3.1%
1318.0 1
3.1%
1369.0 1
3.1%
1497.0 1
3.1%
2652.0 1
3.1%
2899.0 1
3.1%
ValueCountFrequency (%)
57770.0 1
3.1%
53795.0 1
3.1%
52122.0 1
3.1%
51389.0 1
3.1%
45498.0 1
3.1%
40496.0 1
3.1%
34150.0 1
3.1%
31236.0 1
3.1%
16505.0 1
3.1%
16097.0 1
3.1%

러시아_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1059186.3
Minimum1301
Maximum4113847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:07.928618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301
5-th percentile2991.5
Q154186.5
median531930
Q31763726
95-th percentile3654779
Maximum4113847
Range4112546
Interquartile range (IQR)1709539.5

Descriptive statistics

Standard deviation1262713.3
Coefficient of variation (CV)1.1921541
Kurtosis0.19553417
Mean1059186.3
Median Absolute Deviation (MAD)520662
Skewness1.1593975
Sum32834775
Variance1.5944449 × 1012
MonotonicityNot monotonic
2023-12-12T13:55:08.042458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4542 1
 
3.1%
1441 1
 
3.1%
1519800 1
 
3.1%
4113847 1
 
3.1%
2433942 1
 
3.1%
3101106 1
 
3.1%
3766945 1
 
3.1%
2564896 1
 
3.1%
1871288 1
 
3.1%
1728503 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
1301 1
3.1%
1441 1
3.1%
4542 1
3.1%
8836 1
3.1%
11268 1
3.1%
22682 1
3.1%
29657 1
3.1%
31734 1
3.1%
76639 1
3.1%
78378 1
3.1%
ValueCountFrequency (%)
4113847 1
3.1%
3766945 1
3.1%
3542613 1
3.1%
3101106 1
3.1%
2564896 1
3.1%
2433942 1
3.1%
1871288 1
3.1%
1798949 1
3.1%
1728503 1
3.1%
1519800 1
3.1%

러시아_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean54.365806
Minimum11.94
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:08.501788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.94
5-th percentile17.41
Q127.01
median53.22
Q375.295
95-th percentile105.5
Maximum109
Range97.06
Interquartile range (IQR)48.285

Descriptive statistics

Standard deviation30.822701
Coefficient of variation (CV)0.56695014
Kurtosis-1.1042858
Mean54.365806
Median Absolute Deviation (MAD)26.18
Skewness0.40918212
Sum1685.34
Variance950.03893
MonotonicityNot monotonic
2023-12-12T13:55:08.624778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21.06 1
 
3.1%
11.94 1
 
3.1%
94.41 1
 
3.1%
71.21 1
 
3.1%
45.24 1
 
3.1%
60.35 1
 
3.1%
72.27 1
 
3.1%
56.37 1
 
3.1%
46.21 1
 
3.1%
55.34 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
11.94 1
3.1%
15.16 1
3.1%
19.66 1
3.1%
19.68 1
3.1%
21.06 1
3.1%
22.51 1
3.1%
23.17 1
3.1%
26.98 1
3.1%
27.04 1
3.1%
28.89 1
3.1%
ValueCountFrequency (%)
109.0 1
3.1%
107.0 1
3.1%
104.0 1
3.1%
103.0 1
3.1%
97.37 1
3.1%
94.41 1
3.1%
82.91 1
3.1%
78.32 1
3.1%
72.27 1
3.1%
71.21 1
3.1%

동티모르_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
238
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
238 1
 
3.1%

Length

2023-12-12T13:55:08.760021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:08.863275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
238 1
 
3.1%

동티모르_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
18420
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
18420 1
 
3.1%

Length

2023-12-12T13:55:08.959782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:09.062812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
18420 1
 
3.1%

동티모르_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
77.39
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
77.39 1
 
3.1%

Length

2023-12-12T13:55:09.160966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:09.254956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
77.39 1
 
3.1%

튀니지_물량
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean652.55
Minimum18.13
Maximum2535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:09.355262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.13
5-th percentile26.806
Q1192
median363
Q3650
95-th percentile2023.4
Maximum2535
Range2516.87
Interquartile range (IQR)458

Descriptive statistics

Standard deviation801.16383
Coefficient of variation (CV)1.2277432
Kurtosis3.9227654
Mean652.55
Median Absolute Deviation (MAD)287
Skewness1.9466698
Sum5872.95
Variance641863.48
MonotonicityNot monotonic
2023-12-12T13:55:09.464839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
18.13 1
 
3.1%
277.0 1
 
3.1%
39.82 1
 
3.1%
1256.0 1
 
3.1%
650.0 1
 
3.1%
363.0 1
 
3.1%
542.0 1
 
3.1%
192.0 1
 
3.1%
2535.0 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
18.13 1
3.1%
39.82 1
3.1%
192.0 1
3.1%
277.0 1
3.1%
363.0 1
3.1%
542.0 1
3.1%
650.0 1
3.1%
1256.0 1
3.1%
2535.0 1
3.1%
ValueCountFrequency (%)
2535.0 1
3.1%
1256.0 1
3.1%
650.0 1
3.1%
542.0 1
3.1%
363.0 1
3.1%
277.0 1
3.1%
192.0 1
3.1%
39.82 1
3.1%
18.13 1
3.1%

튀니지_금액
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean55629
Minimum1316
Maximum192297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:09.564604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1316
5-th percentile2431.2
Q18613
median25616
Q369975
95-th percentile174064.6
Maximum192297
Range190981
Interquartile range (IQR)61362

Descriptive statistics

Standard deviation68670.494
Coefficient of variation (CV)1.234437
Kurtosis0.74219295
Mean55629
Median Absolute Deviation (MAD)21512
Skewness1.4019919
Sum500661
Variance4.7156368 × 109
MonotonicityNot monotonic
2023-12-12T13:55:09.721485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1316 1
 
3.1%
32093 1
 
3.1%
4104 1
 
3.1%
146716 1
 
3.1%
69975 1
 
3.1%
19931 1
 
3.1%
25616 1
 
3.1%
8613 1
 
3.1%
192297 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
1316 1
3.1%
4104 1
3.1%
8613 1
3.1%
19931 1
3.1%
25616 1
3.1%
32093 1
3.1%
69975 1
3.1%
146716 1
3.1%
192297 1
3.1%
ValueCountFrequency (%)
192297 1
3.1%
146716 1
3.1%
69975 1
3.1%
32093 1
3.1%
25616 1
3.1%
19931 1
3.1%
8613 1
3.1%
4104 1
3.1%
1316 1
3.1%

튀니지_단가
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean82.143333
Minimum44.81
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:09.840958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.81
5-th percentile45.778
Q154.84
median75.85
Q3108
95-th percentile116.6
Maximum117
Range72.19
Interquartile range (IQR)53.16

Descriptive statistics

Standard deviation29.484033
Coefficient of variation (CV)0.35893398
Kurtosis-1.9412246
Mean82.143333
Median Absolute Deviation (MAD)28.62
Skewness-0.053648872
Sum739.29
Variance869.30822
MonotonicityNot monotonic
2023-12-12T13:55:09.951897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
72.56 1
 
3.1%
116.0 1
 
3.1%
103.0 1
 
3.1%
117.0 1
 
3.1%
108.0 1
 
3.1%
54.84 1
 
3.1%
47.23 1
 
3.1%
44.81 1
 
3.1%
75.85 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
44.81 1
3.1%
47.23 1
3.1%
54.84 1
3.1%
72.56 1
3.1%
75.85 1
3.1%
103.0 1
3.1%
108.0 1
3.1%
116.0 1
3.1%
117.0 1
3.1%
ValueCountFrequency (%)
117.0 1
3.1%
116.0 1
3.1%
108.0 1
3.1%
103.0 1
3.1%
75.85 1
3.1%
72.56 1
3.1%
54.84 1
3.1%
47.23 1
3.1%
44.81 1
3.1%

알제리_물량
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean6358.3103
Minimum161
Maximum28423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:10.057017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161
5-th percentile387
Q11506
median4709
Q38537
95-th percentile20192.6
Maximum28423
Range28262
Interquartile range (IQR)7031

Descriptive statistics

Standard deviation6769.9976
Coefficient of variation (CV)1.0647479
Kurtosis3.4952379
Mean6358.3103
Median Absolute Deviation (MAD)3466
Skewness1.8377111
Sum184391
Variance45832868
MonotonicityNot monotonic
2023-12-12T13:55:10.160879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
319 1
 
3.1%
28423 1
 
3.1%
17612 1
 
3.1%
9123 1
 
3.1%
21913 1
 
3.1%
10767 1
 
3.1%
4927 1
 
3.1%
3886 1
 
3.1%
9590 1
 
3.1%
14115 1
 
3.1%
Other values (19) 19
59.4%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
161 1
3.1%
319 1
3.1%
489 1
3.1%
667 1
3.1%
838 1
3.1%
950 1
3.1%
1243 1
3.1%
1506 1
3.1%
1580 1
3.1%
2208 1
3.1%
ValueCountFrequency (%)
28423 1
3.1%
21913 1
3.1%
17612 1
3.1%
14115 1
3.1%
10767 1
3.1%
9590 1
3.1%
9123 1
3.1%
8537 1
3.1%
6786 1
3.1%
6152 1
3.1%

알제리_금액
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean384733.83
Minimum5783
Maximum2504407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:10.273554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5783
5-th percentile13827.2
Q162173
median149088
Q3465349
95-th percentile1337416.4
Maximum2504407
Range2498624
Interquartile range (IQR)403176

Descriptive statistics

Standard deviation563346.02
Coefficient of variation (CV)1.4642487
Kurtosis6.5135093
Mean384733.83
Median Absolute Deviation (MAD)104252
Skewness2.4305278
Sum11157281
Variance3.1735874 × 1011
MonotonicityNot monotonic
2023-12-12T13:55:10.402246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6568 1
 
3.1%
2504407 1
 
3.1%
1205733 1
 
3.1%
465349 1
 
3.1%
1286822 1
 
3.1%
770488 1
 
3.1%
253340 1
 
3.1%
149088 1
 
3.1%
550468 1
 
3.1%
1371146 1
 
3.1%
Other values (19) 19
59.4%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
5783 1
3.1%
6568 1
3.1%
24716 1
3.1%
31854 1
3.1%
37865 1
3.1%
54726 1
3.1%
58217 1
3.1%
62173 1
3.1%
71050 1
3.1%
97117 1
3.1%
ValueCountFrequency (%)
2504407 1
3.1%
1371146 1
3.1%
1286822 1
3.1%
1205733 1
3.1%
770488 1
3.1%
639808 1
3.1%
550468 1
3.1%
465349 1
3.1%
301843 1
3.1%
253340 1
3.1%

알제리_단가
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean52.99931
Minimum18.35
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:10.526249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.35
5-th percentile19.842
Q126.63
median47.74
Q371.56
95-th percentile108.8
Maximum116
Range97.65
Interquartile range (IQR)44.93

Descriptive statistics

Standard deviation31.081988
Coefficient of variation (CV)0.58646024
Kurtosis-0.75375089
Mean52.99931
Median Absolute Deviation (MAD)21.71
Skewness0.72925729
Sum1536.98
Variance966.09
MonotonicityNot monotonic
2023-12-12T13:55:10.638265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20.58 1
 
3.1%
88.11 1
 
3.1%
68.46 1
 
3.1%
51.01 1
 
3.1%
58.72 1
 
3.1%
71.56 1
 
3.1%
51.42 1
 
3.1%
38.36 1
 
3.1%
57.4 1
 
3.1%
97.14 1
 
3.1%
Other values (19) 19
59.4%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
18.35 1
3.1%
19.35 1
3.1%
20.58 1
3.1%
23.15 1
3.1%
23.17 1
3.1%
24.38 1
3.1%
26.03 1
3.1%
26.63 1
3.1%
27.04 1
3.1%
28.16 1
3.1%
ValueCountFrequency (%)
116.0 1
3.1%
112.0 1
3.1%
104.0 1
3.1%
102.0 1
3.1%
97.14 1
3.1%
88.11 1
3.1%
77.39 1
3.1%
71.56 1
3.1%
68.46 1
3.1%
59.23 1
3.1%

모리셔스_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
280
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
280 1
 
3.1%

Length

2023-12-12T13:55:10.749630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:10.836026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
280 1
 
3.1%

모리셔스_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
17188
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
17188 1
 
3.1%

Length

2023-12-12T13:55:10.922075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:11.009022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
17188 1
 
3.1%

모리셔스_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
61.48
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
61.48 1
 
3.1%

Length

2023-12-12T13:55:11.095109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:11.179486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
61.48 1
 
3.1%

이집트_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2906.4839
Minimum208
Maximum7788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:11.292083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208
5-th percentile374.5
Q11439.5
median2606
Q34135.5
95-th percentile6277
Maximum7788
Range7580
Interquartile range (IQR)2696

Descriptive statistics

Standard deviation1952.1294
Coefficient of variation (CV)0.67164639
Kurtosis-0.1987438
Mean2906.4839
Median Absolute Deviation (MAD)1363
Skewness0.60396812
Sum90101
Variance3810809.2
MonotonicityNot monotonic
2023-12-12T13:55:11.455911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
767 1
 
3.1%
208 1
 
3.1%
7788 1
 
3.1%
5184 1
 
3.1%
4764 1
 
3.1%
1836 1
 
3.1%
1067 1
 
3.1%
689 1
 
3.1%
486 1
 
3.1%
1456 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
208 1
3.1%
263 1
3.1%
486 1
3.1%
689 1
3.1%
767 1
3.1%
872 1
3.1%
1067 1
3.1%
1423 1
3.1%
1456 1
3.1%
1572 1
3.1%
ValueCountFrequency (%)
7788 1
3.1%
6294 1
3.1%
6260 1
3.1%
5184 1
3.1%
4764 1
3.1%
4711 1
3.1%
4486 1
3.1%
4302 1
3.1%
3969 1
3.1%
3734 1
3.1%

이집트_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean175192.52
Minimum3661
Maximum731008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:11.589622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3661
5-th percentile11434.5
Q151355
median106945
Q3221132
95-th percentile513498.5
Maximum731008
Range727347
Interquartile range (IQR)169777

Descriptive statistics

Standard deviation180839.13
Coefficient of variation (CV)1.0322309
Kurtosis1.8556276
Mean175192.52
Median Absolute Deviation (MAD)69169
Skewness1.5350981
Sum5430968
Variance3.2702791 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:11.712678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
17223 1
 
3.1%
3661 1
 
3.1%
731008 1
 
3.1%
382219 1
 
3.1%
203759 1
 
3.1%
110598 1
 
3.1%
76240 1
 
3.1%
42935 1
 
3.1%
23102 1
 
3.1%
91423 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
3661 1
3.1%
5646 1
3.1%
17223 1
3.1%
23102 1
3.1%
29770 1
3.1%
37776 1
3.1%
42935 1
3.1%
47930 1
3.1%
54780 1
3.1%
69785 1
3.1%
ValueCountFrequency (%)
731008 1
3.1%
516799 1
3.1%
510198 1
3.1%
442440 1
3.1%
393751 1
3.1%
382219 1
3.1%
297930 1
3.1%
238505 1
3.1%
203759 1
3.1%
179681 1
3.1%

이집트_단가
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean54.955806
Minimum17.45
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:11.836056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.45
5-th percentile18.03
Q123.99
median48.49
Q374.41
95-th percentile112
Maximum114
Range96.55
Interquartile range (IQR)50.42

Descriptive statistics

Standard deviation32.217025
Coefficient of variation (CV)0.58623514
Kurtosis-0.96530817
Mean54.955806
Median Absolute Deviation (MAD)25.23
Skewness0.5270071
Sum1703.63
Variance1037.9367
MonotonicityNot monotonic
2023-12-12T13:55:11.948764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
114.0 2
 
6.2%
22.45 1
 
3.1%
93.86 1
 
3.1%
73.72 1
 
3.1%
42.77 1
 
3.1%
60.24 1
 
3.1%
71.43 1
 
3.1%
62.36 1
 
3.1%
47.53 1
 
3.1%
62.78 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
17.45 1
3.1%
17.61 1
3.1%
18.45 1
3.1%
18.47 1
3.1%
20.93 1
3.1%
21.49 1
3.1%
22.45 1
3.1%
23.56 1
3.1%
24.42 1
3.1%
26.95 1
3.1%
ValueCountFrequency (%)
114.0 2
6.2%
110.0 1
3.1%
105.0 1
3.1%
103.0 1
3.1%
93.86 1
3.1%
82.11 1
3.1%
75.1 1
3.1%
73.72 1
3.1%
71.43 1
3.1%
62.78 1
3.1%

리비아_물량
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing17
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean480.95
Minimum61.25
Maximum1176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:12.045830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.25
5-th percentile123.375
Q1219
median409
Q3699
95-th percentile1099
Maximum1176
Range1114.75
Interquartile range (IQR)480

Descriptive statistics

Standard deviation336.1202
Coefficient of variation (CV)0.69886724
Kurtosis-0.11478678
Mean480.95
Median Absolute Deviation (MAD)199
Skewness0.86194749
Sum7214.25
Variance112976.79
MonotonicityNot monotonic
2023-12-12T13:55:12.147563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
61.25 1
 
3.1%
217.0 1
 
3.1%
221.0 1
 
3.1%
230.0 1
 
3.1%
1176.0 1
 
3.1%
409.0 1
 
3.1%
475.0 1
 
3.1%
1066.0 1
 
3.1%
646.0 1
 
3.1%
756.0 1
 
3.1%
Other values (5) 5
 
15.6%
(Missing) 17
53.1%
ValueCountFrequency (%)
61.25 1
3.1%
150.0 1
3.1%
210.0 1
3.1%
217.0 1
3.1%
221.0 1
3.1%
230.0 1
3.1%
357.0 1
3.1%
409.0 1
3.1%
475.0 1
3.1%
488.0 1
3.1%
ValueCountFrequency (%)
1176.0 1
3.1%
1066.0 1
3.1%
756.0 1
3.1%
752.0 1
3.1%
646.0 1
3.1%
488.0 1
3.1%
475.0 1
3.1%
409.0 1
3.1%
357.0 1
3.1%
230.0 1
3.1%

리비아_금액
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing17
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean31443.2
Minimum1757
Maximum92220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:12.276720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1757
5-th percentile4169.9
Q16996.5
median18794
Q343625.5
95-th percentile83541.4
Maximum92220
Range90463
Interquartile range (IQR)36629

Descriptive statistics

Standard deviation29590.684
Coefficient of variation (CV)0.94108372
Kurtosis-0.26100064
Mean31443.2
Median Absolute Deviation (MAD)14926
Skewness0.97014289
Sum471648
Variance8.7560856 × 108
MonotonicityNot monotonic
2023-12-12T13:55:12.391537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1757 1
 
3.1%
5751 1
 
3.1%
5204 1
 
3.1%
6505 1
 
3.1%
34326 1
 
3.1%
14708 1
 
3.1%
12484 1
 
3.1%
92220 1
 
3.1%
71618 1
 
3.1%
79822 1
 
3.1%
Other values (5) 5
 
15.6%
(Missing) 17
53.1%
ValueCountFrequency (%)
1757 1
3.1%
5204 1
3.1%
5751 1
3.1%
6505 1
3.1%
7488 1
3.1%
12484 1
3.1%
14708 1
3.1%
18794 1
3.1%
33720 1
3.1%
34326 1
3.1%
ValueCountFrequency (%)
92220 1
3.1%
79822 1
3.1%
71618 1
3.1%
49738 1
3.1%
37513 1
3.1%
34326 1
3.1%
33720 1
3.1%
18794 1
3.1%
14708 1
3.1%
12484 1
3.1%

리비아_단가
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing17
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean58.584
Minimum23.56
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:12.496115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.56
5-th percentile25.478
Q128.495
median49.92
Q387.97
95-th percentile107.5
Maximum111
Range87.44
Interquartile range (IQR)59.475

Descriptive statistics

Standard deviation32.691768
Coefficient of variation (CV)0.55803236
Kurtosis-1.6354926
Mean58.584
Median Absolute Deviation (MAD)23.62
Skewness0.35914047
Sum878.76
Variance1068.7517
MonotonicityNot monotonic
2023-12-12T13:55:12.601690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
28.69 1
 
3.1%
26.48 1
 
3.1%
23.56 1
 
3.1%
28.3 1
 
3.1%
29.18 1
 
3.1%
35.95 1
 
3.1%
26.3 1
 
3.1%
86.54 1
 
3.1%
111.0 1
 
3.1%
106.0 1
 
3.1%
Other values (5) 5
 
15.6%
(Missing) 17
53.1%
ValueCountFrequency (%)
23.56 1
3.1%
26.3 1
3.1%
26.48 1
3.1%
28.3 1
3.1%
28.69 1
3.1%
29.18 1
3.1%
35.95 1
3.1%
49.92 1
3.1%
66.17 1
3.1%
76.91 1
3.1%
ValueCountFrequency (%)
111.0 1
3.1%
106.0 1
3.1%
94.36 1
3.1%
89.4 1
3.1%
86.54 1
3.1%
76.91 1
3.1%
66.17 1
3.1%
49.92 1
3.1%
35.95 1
3.1%
29.18 1
3.1%

카메룬_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
374
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
374 1
 
3.1%

Length

2023-12-12T13:55:12.712985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:12.817188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
374 1
 
3.1%

카메룬_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
9750
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
9750 1
 
3.1%

Length

2023-12-12T13:55:12.944214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:13.036829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
9750 1
 
3.1%

카메룬_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
26.07
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
26.07 1
 
3.1%

Length

2023-12-12T13:55:13.153985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:13.274606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
26.07 1
 
3.1%

앙골라_물량
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing19
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean1175.2308
Minimum115
Maximum2410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:13.377715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile136
Q1668
median1090
Q31662
95-th percentile2361.4
Maximum2410
Range2295
Interquartile range (IQR)994

Descriptive statistics

Standard deviation752.57316
Coefficient of variation (CV)0.64036203
Kurtosis-0.90737911
Mean1175.2308
Median Absolute Deviation (MAD)572
Skewness0.22781467
Sum15278
Variance566366.36
MonotonicityNot monotonic
2023-12-12T13:55:13.488093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
115 1
 
3.1%
468 1
 
3.1%
2410 1
 
3.1%
1487 1
 
3.1%
890 1
 
3.1%
1090 1
 
3.1%
1662 1
 
3.1%
2329 1
 
3.1%
798 1
 
3.1%
1796 1
 
3.1%
Other values (3) 3
 
9.4%
(Missing) 19
59.4%
ValueCountFrequency (%)
115 1
3.1%
150 1
3.1%
468 1
3.1%
668 1
3.1%
798 1
3.1%
890 1
3.1%
1090 1
3.1%
1415 1
3.1%
1487 1
3.1%
1662 1
3.1%
ValueCountFrequency (%)
2410 1
3.1%
2329 1
3.1%
1796 1
3.1%
1662 1
3.1%
1487 1
3.1%
1415 1
3.1%
1090 1
3.1%
890 1
3.1%
798 1
3.1%
668 1
3.1%

앙골라_금액
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing19
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean58719.923
Minimum3164
Maximum123691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:13.582288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3164
5-th percentile5022.8
Q125212
median72025
Q391955
95-th percentile111043.6
Maximum123691
Range120527
Interquartile range (IQR)66743

Descriptive statistics

Standard deviation40217.969
Coefficient of variation (CV)0.68491182
Kurtosis-1.470397
Mean58719.923
Median Absolute Deviation (MAD)33673
Skewness0.0061683556
Sum763359
Variance1.617485 × 109
MonotonicityNot monotonic
2023-12-12T13:55:13.696196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3164 1
 
3.1%
18035 1
 
3.1%
102612 1
 
3.1%
91955 1
 
3.1%
72025 1
 
3.1%
84298 1
 
3.1%
123691 1
 
3.1%
92608 1
 
3.1%
25212 1
 
3.1%
75714 1
 
3.1%
Other values (3) 3
 
9.4%
(Missing) 19
59.4%
ValueCountFrequency (%)
3164 1
3.1%
6262 1
3.1%
18035 1
3.1%
25212 1
3.1%
29431 1
3.1%
38352 1
3.1%
72025 1
3.1%
75714 1
3.1%
84298 1
3.1%
91955 1
3.1%
ValueCountFrequency (%)
123691 1
3.1%
102612 1
3.1%
92608 1
3.1%
91955 1
3.1%
84298 1
3.1%
75714 1
3.1%
72025 1
3.1%
38352 1
3.1%
29431 1
3.1%
25212 1
3.1%

앙골라_단가
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing19
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean48.416923
Minimum27.11
Maximum80.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:13.809237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.11
5-th percentile27.29
Q138.54
median42.15
Q361.83
95-th percentile78.768
Maximum80.94
Range53.83
Interquartile range (IQR)23.29

Descriptive statistics

Standard deviation18.792481
Coefficient of variation (CV)0.38813869
Kurtosis-0.82297065
Mean48.416923
Median Absolute Deviation (MAD)10.55
Skewness0.77786349
Sum629.42
Variance353.15734
MonotonicityNot monotonic
2023-12-12T13:55:13.930235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
27.41 1
 
3.1%
38.54 1
 
3.1%
42.58 1
 
3.1%
61.83 1
 
3.1%
80.94 1
 
3.1%
77.32 1
 
3.1%
74.43 1
 
3.1%
39.76 1
 
3.1%
31.6 1
 
3.1%
42.15 1
 
3.1%
Other values (3) 3
 
9.4%
(Missing) 19
59.4%
ValueCountFrequency (%)
27.11 1
3.1%
27.41 1
3.1%
31.6 1
3.1%
38.54 1
3.1%
39.76 1
3.1%
41.69 1
3.1%
42.15 1
3.1%
42.58 1
3.1%
44.06 1
3.1%
61.83 1
3.1%
ValueCountFrequency (%)
80.94 1
3.1%
77.32 1
3.1%
74.43 1
3.1%
61.83 1
3.1%
44.06 1
3.1%
42.58 1
3.1%
42.15 1
3.1%
41.69 1
3.1%
39.76 1
3.1%
38.54 1
3.1%

콩고_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
290.0
 
1
266.0
 
1
58.64
 
1

Length

Max length5
Median length4
Mean length4.09375
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
290.0 1
 
3.1%
266.0 1
 
3.1%
58.64 1
 
3.1%

Length

2023-12-12T13:55:14.039730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:14.133291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
290.0 1
 
3.1%
266.0 1
 
3.1%
58.64 1
 
3.1%

콩고_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
9071
 
1
6963
 
1
2530
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
9071 1
 
3.1%
6963 1
 
3.1%
2530 1
 
3.1%

Length

2023-12-12T13:55:14.233859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:14.331038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
9071 1
 
3.1%
6963 1
 
3.1%
2530 1
 
3.1%

콩고_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
31.3
 
1
26.17
 
1
43.15
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
31.3 1
 
3.1%
26.17 1
 
3.1%
43.15 1
 
3.1%

Length

2023-12-12T13:55:14.438700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:14.538701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
31.3 1
 
3.1%
26.17 1
 
3.1%
43.15 1
 
3.1%

나이지리아_물량
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean1479.9011
Minimum30.92
Maximum3902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:14.644207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.92
5-th percentile35.672
Q1667.5
median1112
Q31893
95-th percentile3837.2
Maximum3902
Range3871.08
Interquartile range (IQR)1225.5

Descriptive statistics

Standard deviation1210.5787
Coefficient of variation (CV)0.8180133
Kurtosis0.065027332
Mean1479.9011
Median Absolute Deviation (MAD)584
Skewness1.0019792
Sum28118.12
Variance1465500.9
MonotonicityNot monotonic
2023-12-12T13:55:14.755247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1654.0 1
 
3.1%
573.0 1
 
3.1%
36.2 1
 
3.1%
799.0 1
 
3.1%
762.0 1
 
3.1%
790.0 1
 
3.1%
1489.0 1
 
3.1%
3902.0 1
 
3.1%
3664.0 1
 
3.1%
1445.0 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
30.92 1
3.1%
36.2 1
3.1%
487.0 1
3.1%
528.0 1
3.1%
573.0 1
3.1%
762.0 1
3.1%
790.0 1
3.1%
799.0 1
3.1%
816.0 1
3.1%
1112.0 1
3.1%
ValueCountFrequency (%)
3902.0 1
3.1%
3830.0 1
3.1%
3664.0 1
3.1%
2414.0 1
3.1%
2042.0 1
3.1%
1744.0 1
3.1%
1654.0 1
3.1%
1489.0 1
3.1%
1445.0 1
3.1%
1112.0 1
3.1%

나이지리아_금액
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean66988.053
Minimum1403
Maximum300572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:14.869734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1403
5-th percentile3029.3
Q133049
median39484
Q368090
95-th percentile176975.9
Maximum300572
Range299169
Interquartile range (IQR)35041

Descriptive statistics

Standard deviation70250.861
Coefficient of variation (CV)1.0487073
Kurtosis6.4035773
Mean66988.053
Median Absolute Deviation (MAD)14523
Skewness2.3519851
Sum1272773
Variance4.9351835 × 109
MonotonicityNot monotonic
2023-12-12T13:55:14.975936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
41997 1
 
3.1%
39484 1
 
3.1%
1403 1
 
3.1%
26553 1
 
3.1%
50727 1
 
3.1%
39074 1
 
3.1%
58634 1
 
3.1%
120649 1
 
3.1%
163243 1
 
3.1%
29085 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
1403 1
3.1%
3210 1
3.1%
24961 1
3.1%
26553 1
3.1%
29085 1
3.1%
37013 1
3.1%
37822 1
3.1%
38320 1
3.1%
39074 1
3.1%
39484 1
3.1%
ValueCountFrequency (%)
300572 1
3.1%
163243 1
3.1%
127067 1
3.1%
120649 1
3.1%
77546 1
3.1%
58634 1
3.1%
55413 1
3.1%
50727 1
3.1%
41997 1
3.1%
39484 1
3.1%

나이지리아_단가
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean49.658421
Minimum20.13
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:15.081969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.13
5-th percentile22.677
Q132.07
median44.45
Q367.745
95-th percentile81.032
Maximum104
Range83.87
Interquartile range (IQR)35.675

Descriptive statistics

Standard deviation23.10885
Coefficient of variation (CV)0.46535611
Kurtosis-0.14811234
Mean49.658421
Median Absolute Deviation (MAD)17.77
Skewness0.7459585
Sum943.51
Variance534.01894
MonotonicityNot monotonic
2023-12-12T13:55:15.196315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
25.39 1
 
3.1%
68.88 1
 
3.1%
38.75 1
 
3.1%
33.22 1
 
3.1%
66.61 1
 
3.1%
49.47 1
 
3.1%
39.37 1
 
3.1%
30.92 1
 
3.1%
44.55 1
 
3.1%
20.13 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
20.13 1
3.1%
22.96 1
3.1%
25.39 1
3.1%
30.6 1
3.1%
30.92 1
3.1%
33.22 1
3.1%
33.27 1
3.1%
38.75 1
3.1%
39.37 1
3.1%
44.45 1
3.1%
ValueCountFrequency (%)
104.0 1
3.1%
78.48 1
3.1%
77.62 1
3.1%
72.62 1
3.1%
68.88 1
3.1%
66.61 1
3.1%
62.22 1
3.1%
49.47 1
3.1%
44.55 1
3.1%
44.45 1
3.1%

남아프리카공화국_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
32.29
 
1
24.43
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
32.29 1
 
3.1%
24.43 1
 
3.1%

Length

2023-12-12T13:55:15.329634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:15.874673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
32.29 1
 
3.1%
24.43 1
 
3.1%

남아프리카공화국_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
894
 
1
1464
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
894 1
 
3.1%
1464 1
 
3.1%

Length

2023-12-12T13:55:15.990813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:16.101554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
894 1
 
3.1%
1464 1
 
3.1%

남아프리카공화국_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
27.69
 
1
59.93
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
27.69 1
 
3.1%
59.93 1
 
3.1%

Length

2023-12-12T13:55:16.218235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:16.342456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
27.69 1
 
3.1%
59.93 1
 
3.1%

수단_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
77.43
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
77.43 1
 
3.1%

Length

2023-12-12T13:55:16.466582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:16.576404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
77.43 1
 
3.1%

수단_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
2343
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
2343 1
 
3.1%

Length

2023-12-12T13:55:16.678291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:16.776847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
2343 1
 
3.1%

수단_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
30.26
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
30.26 1
 
3.1%

Length

2023-12-12T13:55:16.898462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:16.986870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
30.26 1
 
3.1%

가나_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
229
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
229 1
 
3.1%

Length

2023-12-12T13:55:17.100362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:17.209445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
229 1
 
3.1%

가나_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
3204
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
3204 1
 
3.1%

Length

2023-12-12T13:55:17.299506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:17.383324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
3204 1
 
3.1%

가나_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
13.99
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
13.99 1
 
3.1%

Length

2023-12-12T13:55:17.496865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:17.601591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
13.99 1
 
3.1%

모로코_물량
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean574.989
Minimum63.89
Maximum1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:17.688263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.89
5-th percentile155.7395
Q1421.75
median594
Q3771.25
95-th percentile930.8
Maximum1010
Range946.11
Interquartile range (IQR)349.5

Descriptive statistics

Standard deviation291.87258
Coefficient of variation (CV)0.5076142
Kurtosis-0.67314048
Mean574.989
Median Absolute Deviation (MAD)183.5
Skewness-0.29698839
Sum5749.89
Variance85189.603
MonotonicityNot monotonic
2023-12-12T13:55:17.815966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
737.0 1
 
3.1%
63.89 1
 
3.1%
413.0 1
 
3.1%
268.0 1
 
3.1%
834.0 1
 
3.1%
451.0 1
 
3.1%
448.0 1
 
3.1%
780.0 1
 
3.1%
745.0 1
 
3.1%
1010.0 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
63.89 1
3.1%
268.0 1
3.1%
413.0 1
3.1%
448.0 1
3.1%
451.0 1
3.1%
737.0 1
3.1%
745.0 1
3.1%
780.0 1
3.1%
834.0 1
3.1%
1010.0 1
3.1%
ValueCountFrequency (%)
1010.0 1
3.1%
834.0 1
3.1%
780.0 1
3.1%
745.0 1
3.1%
737.0 1
3.1%
451.0 1
3.1%
448.0 1
3.1%
413.0 1
3.1%
268.0 1
3.1%
63.89 1
3.1%

모로코_금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean46982.2
Minimum1731
Maximum107767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:17.941356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1731
5-th percentile9103.8
Q126896.75
median40531
Q368434.75
95-th percentile98005.6
Maximum107767
Range106036
Interquartile range (IQR)41538

Descriptive statistics

Standard deviation33128.89
Coefficient of variation (CV)0.70513706
Kurtosis-0.36119697
Mean46982.2
Median Absolute Deviation (MAD)18177
Skewness0.67550666
Sum469822
Variance1.0975234 × 109
MonotonicityNot monotonic
2023-12-12T13:55:18.070282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
18115 1
 
3.1%
1731 1
 
3.1%
27808 1
 
3.1%
26593 1
 
3.1%
44137 1
 
3.1%
36948 1
 
3.1%
44114 1
 
3.1%
86075 1
 
3.1%
76534 1
 
3.1%
107767 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
1731 1
3.1%
18115 1
3.1%
26593 1
3.1%
27808 1
3.1%
36948 1
3.1%
44114 1
3.1%
44137 1
3.1%
76534 1
3.1%
86075 1
3.1%
107767 1
3.1%
ValueCountFrequency (%)
107767 1
3.1%
86075 1
3.1%
76534 1
3.1%
44137 1
3.1%
44114 1
3.1%
36948 1
3.1%
27808 1
3.1%
26593 1
3.1%
18115 1
3.1%
1731 1
3.1%

모로코_단가
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean77.158
Minimum24.58
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:18.201829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.58
5-th percentile25.7095
Q156.515
median90.175
Q3102.075
95-th percentile108.65
Maximum110
Range85.42
Interquartile range (IQR)45.56

Descriptive statistics

Standard deviation32.586258
Coefficient of variation (CV)0.42233156
Kurtosis-1.0238773
Mean77.158
Median Absolute Deviation (MAD)18.325
Skewness-0.74770877
Sum771.58
Variance1061.8642
MonotonicityNot monotonic
2023-12-12T13:55:18.306160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
24.58 1
 
3.1%
27.09 1
 
3.1%
67.36 1
 
3.1%
99.3 1
 
3.1%
52.9 1
 
3.1%
81.96 1
 
3.1%
98.39 1
 
3.1%
110.0 1
 
3.1%
103.0 1
 
3.1%
107.0 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
24.58 1
3.1%
27.09 1
3.1%
52.9 1
3.1%
67.36 1
3.1%
81.96 1
3.1%
98.39 1
3.1%
99.3 1
3.1%
103.0 1
3.1%
107.0 1
3.1%
110.0 1
3.1%
ValueCountFrequency (%)
110.0 1
3.1%
107.0 1
3.1%
103.0 1
3.1%
99.3 1
3.1%
98.39 1
3.1%
81.96 1
3.1%
67.36 1
3.1%
52.9 1
3.1%
27.09 1
3.1%
24.58 1
3.1%

적도기니_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
417
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
417 1
 
3.1%

Length

2023-12-12T13:55:18.458995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:18.584837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
417 1
 
3.1%

적도기니_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
11572
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
11572 1
 
3.1%

Length

2023-12-12T13:55:18.703018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:18.855244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
11572 1
 
3.1%

적도기니_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
27.76
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
27.76 1
 
3.1%

Length

2023-12-12T13:55:18.963434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:19.060658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
27.76 1
 
3.1%

모잠비크_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
271
 
1
317
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
271 1
 
3.1%
317 1
 
3.1%

Length

2023-12-12T13:55:19.162927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:19.257821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
271 1
 
3.1%
317 1
 
3.1%

모잠비크_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
21405
 
1
19270
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
21405 1
 
3.1%
19270 1
 
3.1%

Length

2023-12-12T13:55:19.353874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:19.455633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
21405 1
 
3.1%
19270 1
 
3.1%

모잠비크_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
78.87
 
1
60.86
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
78.87 1
 
3.1%
60.86 1
 
3.1%

Length

2023-12-12T13:55:19.555367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:19.674734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
78.87 1
 
3.1%
60.86 1
 
3.1%

캐나다_물량
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing25
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean2229.8571
Minimum155
Maximum8231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:19.785920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum155
5-th percentile227.9
Q1476
median605
Q32833
95-th percentile7137.5
Maximum8231
Range8076
Interquartile range (IQR)2357

Descriptive statistics

Standard deviation3054.9601
Coefficient of variation (CV)1.370025
Kurtosis1.9626897
Mean2229.8571
Median Absolute Deviation (MAD)450
Skewness1.6662991
Sum15609
Variance9332781.1
MonotonicityNot monotonic
2023-12-12T13:55:19.886304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
155 1
 
3.1%
605 1
 
3.1%
1080 1
 
3.1%
554 1
 
3.1%
398 1
 
3.1%
4586 1
 
3.1%
8231 1
 
3.1%
(Missing) 25
78.1%
ValueCountFrequency (%)
155 1
3.1%
398 1
3.1%
554 1
3.1%
605 1
3.1%
1080 1
3.1%
4586 1
3.1%
8231 1
3.1%
ValueCountFrequency (%)
8231 1
3.1%
4586 1
3.1%
1080 1
3.1%
605 1
3.1%
554 1
3.1%
398 1
3.1%
155 1
3.1%

캐나다_금액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing25
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean118854.29
Minimum3712
Maximum499248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:20.013661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3712
5-th percentile5722
Q111819
median20000
Q3142691
95-th percentile425832.6
Maximum499248
Range495536
Interquartile range (IQR)130872

Descriptive statistics

Standard deviation190087.11
Coefficient of variation (CV)1.599329
Kurtosis2.4173635
Mean118854.29
Median Absolute Deviation (MAD)10852
Skewness1.763558
Sum831980
Variance3.613311 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:20.124557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3712 1
 
3.1%
13226 1
 
3.1%
30852 1
 
3.1%
20000 1
 
3.1%
10412 1
 
3.1%
254530 1
 
3.1%
499248 1
 
3.1%
(Missing) 25
78.1%
ValueCountFrequency (%)
3712 1
3.1%
10412 1
3.1%
13226 1
3.1%
20000 1
3.1%
30852 1
3.1%
254530 1
3.1%
499248 1
3.1%
ValueCountFrequency (%)
499248 1
3.1%
254530 1
3.1%
30852 1
3.1%
20000 1
3.1%
13226 1
3.1%
10412 1
3.1%
3712 1
3.1%

캐나다_단가
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing25
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean36.111429
Minimum21.85
Maximum60.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:20.227932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.85
5-th percentile22.468
Q125.04
median28.56
Q345.815
95-th percentile59.112
Maximum60.66
Range38.81
Interquartile range (IQR)20.775

Descriptive statistics

Standard deviation15.740969
Coefficient of variation (CV)0.43589993
Kurtosis-0.98349387
Mean36.111429
Median Absolute Deviation (MAD)6.71
Skewness0.95432841
Sum252.78
Variance247.77811
MonotonicityNot monotonic
2023-12-12T13:55:20.367469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
23.91 1
 
3.1%
21.85 1
 
3.1%
28.56 1
 
3.1%
36.13 1
 
3.1%
26.17 1
 
3.1%
55.5 1
 
3.1%
60.66 1
 
3.1%
(Missing) 25
78.1%
ValueCountFrequency (%)
21.85 1
3.1%
23.91 1
3.1%
26.17 1
3.1%
28.56 1
3.1%
36.13 1
3.1%
55.5 1
3.1%
60.66 1
3.1%
ValueCountFrequency (%)
60.66 1
3.1%
55.5 1
3.1%
36.13 1
3.1%
28.56 1
3.1%
26.17 1
3.1%
23.91 1
3.1%
21.85 1
3.1%

미국_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean25008.742
Minimum644
Maximum119718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:20.511285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum644
5-th percentile889
Q12052.5
median3779
Q330463.5
95-th percentile102688.5
Maximum119718
Range119074
Interquartile range (IQR)28411

Descriptive statistics

Standard deviation35478.432
Coefficient of variation (CV)1.4186412
Kurtosis1.4619506
Mean25008.742
Median Absolute Deviation (MAD)3127
Skewness1.6082309
Sum775271
Variance1.2587191 × 109
MonotonicityNot monotonic
2023-12-12T13:55:20.655297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
26187 1
 
3.1%
33323 1
 
3.1%
91756 1
 
3.1%
110083 1
 
3.1%
119718 1
 
3.1%
95294 1
 
3.1%
69435 1
 
3.1%
50827 1
 
3.1%
43141 1
 
3.1%
19649 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
644 1
3.1%
652 1
3.1%
1126 1
3.1%
1172 1
3.1%
1241 1
3.1%
1337 1
3.1%
1401 1
3.1%
1539 1
3.1%
2566 1
3.1%
2573 1
3.1%
ValueCountFrequency (%)
119718 1
3.1%
110083 1
3.1%
95294 1
3.1%
91756 1
3.1%
69435 1
3.1%
50827 1
3.1%
43141 1
3.1%
33323 1
3.1%
27604 1
3.1%
26187 1
3.1%

미국_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1087579.9
Minimum11110
Maximum6229358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:20.778944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile42212
Q181106
median242627
Q31086201
95-th percentile5157660
Maximum6229358
Range6218248
Interquartile range (IQR)1005095

Descriptive statistics

Standard deviation1772783.5
Coefficient of variation (CV)1.630026
Kurtosis3.1632734
Mean1087579.9
Median Absolute Deviation (MAD)177942
Skewness2.0114153
Sum33714976
Variance3.1427613 × 1012
MonotonicityNot monotonic
2023-12-12T13:55:20.912960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
474448 1
 
3.1%
644103 1
 
3.1%
6212716 1
 
3.1%
6229358 1
 
3.1%
4102604 1
 
3.1%
3722261 1
 
3.1%
3538329 1
 
3.1%
2069615 1
 
3.1%
1326082 1
 
3.1%
846320 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
11110 1
3.1%
29161 1
3.1%
55263 1
3.1%
64685 1
3.1%
65964 1
3.1%
70831 1
3.1%
77318 1
3.1%
80660 1
3.1%
81552 1
3.1%
83342 1
3.1%
ValueCountFrequency (%)
6229358 1
3.1%
6212716 1
3.1%
4102604 1
3.1%
3722261 1
3.1%
3538329 1
3.1%
2069615 1
3.1%
1455920 1
3.1%
1326082 1
3.1%
846320 1
3.1%
644103 1
3.1%

미국_단가
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean47.03
Minimum17.26
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:21.047301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.26
5-th percentile17.72
Q124.305
median40.72
Q360.225
95-th percentile99.295
Maximum103
Range85.74
Interquartile range (IQR)35.92

Descriptive statistics

Standard deviation26.857343
Coefficient of variation (CV)0.57106832
Kurtosis-0.45522982
Mean47.03
Median Absolute Deviation (MAD)16.84
Skewness0.80678759
Sum1457.93
Variance721.31688
MonotonicityNot monotonic
2023-12-12T13:55:21.181279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
103.0 2
 
6.2%
18.12 1
 
3.1%
87.79 1
 
3.1%
67.71 1
 
3.1%
56.59 1
 
3.1%
34.27 1
 
3.1%
39.06 1
 
3.1%
50.96 1
 
3.1%
40.72 1
 
3.1%
30.74 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
17.26 1
3.1%
17.32 1
3.1%
18.12 1
3.1%
19.33 1
3.1%
19.74 1
3.1%
20.12 1
3.1%
23.58 1
3.1%
24.03 1
3.1%
24.58 1
3.1%
26.86 1
3.1%
ValueCountFrequency (%)
103.0 2
6.2%
95.59 1
3.1%
87.79 1
3.1%
86.69 1
3.1%
76.84 1
3.1%
67.71 1
3.1%
62.89 1
3.1%
57.56 1
3.1%
56.59 1
3.1%
55.2 1
3.1%

멕시코_물량
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1053.0625
Minimum191
Maximum4928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:21.293991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191
5-th percentile218.75
Q1296
median608.5
Q31054.25
95-th percentile3647
Maximum4928
Range4737
Interquartile range (IQR)758.25

Descriptive statistics

Standard deviation1266.8552
Coefficient of variation (CV)1.2030199
Kurtosis5.9589573
Mean1053.0625
Median Absolute Deviation (MAD)354.5
Skewness2.4424683
Sum16849
Variance1604922.1
MonotonicityNot monotonic
2023-12-12T13:55:21.411961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
254 2
 
6.2%
538 2
 
6.2%
448 1
 
3.1%
1205 1
 
3.1%
904 1
 
3.1%
1184 1
 
3.1%
679 1
 
3.1%
228 1
 
3.1%
1011 1
 
3.1%
191 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 16
50.0%
ValueCountFrequency (%)
191 1
3.1%
228 1
3.1%
254 2
6.2%
310 1
3.1%
448 1
3.1%
538 2
6.2%
679 1
3.1%
904 1
3.1%
957 1
3.1%
1011 1
3.1%
ValueCountFrequency (%)
4928 1
3.1%
3220 1
3.1%
1205 1
3.1%
1184 1
3.1%
1011 1
3.1%
957 1
3.1%
904 1
3.1%
679 1
3.1%
538 2
6.2%
448 1
3.1%

멕시코_금액
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean55688
Minimum4182
Maximum315564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:21.523862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4182
5-th percentile6692.25
Q113807.5
median22776.5
Q330993.75
95-th percentile277071
Maximum315564
Range311382
Interquartile range (IQR)17186.25

Descriptive statistics

Standard deviation92670.767
Coefficient of variation (CV)1.6641066
Kurtosis5.0487528
Mean55688
Median Absolute Deviation (MAD)9104.5
Skewness2.4804051
Sum891008
Variance8.5878711 × 109
MonotonicityNot monotonic
2023-12-12T13:55:21.628106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
19162 1
 
3.1%
13401 1
 
3.1%
22039 1
 
3.1%
33198 1
 
3.1%
264240 1
 
3.1%
315564 1
 
3.1%
54393 1
 
3.1%
11638 1
 
3.1%
23514 1
 
3.1%
28350 1
 
3.1%
Other values (6) 6
 
18.8%
(Missing) 16
50.0%
ValueCountFrequency (%)
4182 1
3.1%
7529 1
3.1%
11638 1
3.1%
13401 1
3.1%
13943 1
3.1%
19162 1
3.1%
20689 1
3.1%
22039 1
3.1%
23514 1
3.1%
28350 1
3.1%
ValueCountFrequency (%)
315564 1
3.1%
264240 1
3.1%
54393 1
3.1%
33198 1
3.1%
30259 1
3.1%
28907 1
3.1%
28350 1
3.1%
23514 1
3.1%
22039 1
3.1%
20689 1
3.1%

멕시코_단가
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean47.310625
Minimum18.35
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:21.787706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.35
5-th percentile19.22
Q124.0375
median32.15
Q359.9375
95-th percentile100.355
Maximum101
Range82.65
Interquartile range (IQR)35.9

Descriptive statistics

Standard deviation30.231999
Coefficient of variation (CV)0.63901078
Kurtosis-0.61357612
Mean47.310625
Median Absolute Deviation (MAD)13.22
Skewness0.91336029
Sum756.97
Variance913.97379
MonotonicityNot monotonic
2023-12-12T13:55:21.893841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
100.14 1
 
3.1%
52.83 1
 
3.1%
71.15 1
 
3.1%
34.7 1
 
3.1%
53.62 1
 
3.1%
98.01 1
 
3.1%
101.0 1
 
3.1%
25.97 1
 
3.1%
19.51 1
 
3.1%
28.04 1
 
3.1%
Other values (6) 6
 
18.8%
(Missing) 16
50.0%
ValueCountFrequency (%)
18.35 1
3.1%
19.51 1
3.1%
20.54 1
3.1%
22.89 1
3.1%
24.42 1
3.1%
25.97 1
3.1%
28.04 1
3.1%
29.6 1
3.1%
34.7 1
3.1%
52.83 1
3.1%
ValueCountFrequency (%)
101.0 1
3.1%
100.14 1
3.1%
98.01 1
3.1%
71.15 1
3.1%
56.2 1
3.1%
53.62 1
3.1%
52.83 1
3.1%
34.7 1
3.1%
29.6 1
3.1%
28.04 1
3.1%

베네수엘라_물량
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing25
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean443.42857
Minimum192
Maximum795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:21.988496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192
5-th percentile210
Q1256.5
median298
Q3653
95-th percentile785.4
Maximum795
Range603
Interquartile range (IQR)396.5

Descriptive statistics

Standard deviation254.92931
Coefficient of variation (CV)0.57490501
Kurtosis-1.786983
Mean443.42857
Median Absolute Deviation (MAD)106
Skewness0.63408512
Sum3104
Variance64988.952
MonotonicityNot monotonic
2023-12-12T13:55:22.099092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
298 1
 
3.1%
543 1
 
3.1%
795 1
 
3.1%
261 1
 
3.1%
763 1
 
3.1%
192 1
 
3.1%
252 1
 
3.1%
(Missing) 25
78.1%
ValueCountFrequency (%)
192 1
3.1%
252 1
3.1%
261 1
3.1%
298 1
3.1%
543 1
3.1%
763 1
3.1%
795 1
3.1%
ValueCountFrequency (%)
795 1
3.1%
763 1
3.1%
543 1
3.1%
298 1
3.1%
261 1
3.1%
252 1
3.1%
192 1
3.1%

베네수엘라_금액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing25
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean12457.571
Minimum6180
Maximum21132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:22.193334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6180
5-th percentile6334.5
Q17020
median10630
Q317610.5
95-th percentile20529.9
Maximum21132
Range14952
Interquartile range (IQR)10590.5

Descriptive statistics

Standard deviation6258.7541
Coefficient of variation (CV)0.50240563
Kurtosis-2.0048909
Mean12457.571
Median Absolute Deviation (MAD)4450
Skewness0.39857833
Sum87203
Variance39172002
MonotonicityNot monotonic
2023-12-12T13:55:22.288995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7345 1
 
3.1%
16096 1
 
3.1%
21132 1
 
3.1%
6180 1
 
3.1%
19125 1
 
3.1%
6695 1
 
3.1%
10630 1
 
3.1%
(Missing) 25
78.1%
ValueCountFrequency (%)
6180 1
3.1%
6695 1
3.1%
7345 1
3.1%
10630 1
3.1%
16096 1
3.1%
19125 1
3.1%
21132 1
3.1%
ValueCountFrequency (%)
21132 1
3.1%
19125 1
3.1%
16096 1
3.1%
10630 1
3.1%
7345 1
3.1%
6695 1
3.1%
6180 1
3.1%

베네수엘라_단가
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing25
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean29.541429
Minimum23.66
Maximum42.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:22.392845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.66
5-th percentile23.951
Q124.855
median26.59
Q332.29
95-th percentile40.057
Maximum42.25
Range18.59
Interquartile range (IQR)7.435

Descriptive statistics

Standard deviation6.8067453
Coefficient of variation (CV)0.23041354
Kurtosis0.94458882
Mean29.541429
Median Absolute Deviation (MAD)2.93
Skewness1.3121252
Sum206.79
Variance46.331781
MonotonicityNot monotonic
2023-12-12T13:55:22.520323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
24.63 1
 
3.1%
29.64 1
 
3.1%
26.59 1
 
3.1%
23.66 1
 
3.1%
25.08 1
 
3.1%
34.94 1
 
3.1%
42.25 1
 
3.1%
(Missing) 25
78.1%
ValueCountFrequency (%)
23.66 1
3.1%
24.63 1
3.1%
25.08 1
3.1%
26.59 1
3.1%
29.64 1
3.1%
34.94 1
3.1%
42.25 1
3.1%
ValueCountFrequency (%)
42.25 1
3.1%
34.94 1
3.1%
29.64 1
3.1%
26.59 1
3.1%
25.08 1
3.1%
24.63 1
3.1%
23.66 1
3.1%

브라질_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
498
 
1
666
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
498 1
 
3.1%
666 1
 
3.1%

Length

2023-12-12T13:55:22.680166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:22.794838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
498 1
 
3.1%
666 1
 
3.1%

브라질_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
10500
 
1
46741
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
10500 1
 
3.1%
46741 1
 
3.1%

Length

2023-12-12T13:55:22.918494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:23.065454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
10500 1
 
3.1%
46741 1
 
3.1%

브라질_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
21.08
 
1
70.19
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
21.08 1
 
3.1%
70.19 1
 
3.1%

Length

2023-12-12T13:55:23.170997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:23.269589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
21.08 1
 
3.1%
70.19 1
 
3.1%

페루_물량
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean1188.2353
Minimum117
Maximum3468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:23.363894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile179.4
Q1262
median961
Q31754
95-th percentile2618.4
Maximum3468
Range3351
Interquartile range (IQR)1492

Descriptive statistics

Standard deviation963.05539
Coefficient of variation (CV)0.81049216
Kurtosis0.18356186
Mean1188.2353
Median Absolute Deviation (MAD)741
Skewness0.83312069
Sum20200
Variance927475.69
MonotonicityNot monotonic
2023-12-12T13:55:23.488674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
195 1
 
3.1%
2299 1
 
3.1%
3468 1
 
3.1%
1276 1
 
3.1%
628 1
 
3.1%
961 1
 
3.1%
1289 1
 
3.1%
1754 1
 
3.1%
220 1
 
3.1%
557 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
117 1
3.1%
195 1
3.1%
220 1
3.1%
223 1
3.1%
262 1
3.1%
557 1
3.1%
628 1
3.1%
869 1
3.1%
961 1
3.1%
1276 1
3.1%
ValueCountFrequency (%)
3468 1
3.1%
2406 1
3.1%
2299 1
3.1%
1928 1
3.1%
1754 1
3.1%
1748 1
3.1%
1289 1
3.1%
1276 1
3.1%
961 1
3.1%
869 1
3.1%

페루_금액
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean80917.941
Minimum5278
Maximum259371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:23.598998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5278
5-th percentile5833.2
Q124636
median61184
Q395971
95-th percentile240884.6
Maximum259371
Range254093
Interquartile range (IQR)71335

Descriptive statistics

Standard deviation77945.869
Coefficient of variation (CV)0.96327054
Kurtosis0.80780977
Mean80917.941
Median Absolute Deviation (MAD)36548
Skewness1.2958187
Sum1375605
Variance6.0755584 × 109
MonotonicityNot monotonic
2023-12-12T13:55:24.074054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5278 1
 
3.1%
236263 1
 
3.1%
259371 1
 
3.1%
41982 1
 
3.1%
37618 1
 
3.1%
61184 1
 
3.1%
70564 1
 
3.1%
71617 1
 
3.1%
5972 1
 
3.1%
50399 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
5278 1
3.1%
5972 1
3.1%
11210 1
3.1%
16318 1
3.1%
24636 1
3.1%
37618 1
3.1%
41982 1
3.1%
50399 1
3.1%
61184 1
3.1%
70564 1
3.1%
ValueCountFrequency (%)
259371 1
3.1%
236263 1
3.1%
174771 1
3.1%
141380 1
3.1%
95971 1
3.1%
71617 1
3.1%
71071 1
3.1%
70564 1
3.1%
61184 1
3.1%
50399 1
3.1%

페루_단가
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean66.357647
Minimum27.1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:24.186065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.1
5-th percentile27.172
Q149.79
median63.68
Q390.54
95-th percentile100.576
Maximum103
Range75.9
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation25.513958
Coefficient of variation (CV)0.3844916
Kurtosis-1.2191953
Mean66.357647
Median Absolute Deviation (MAD)22.85
Skewness-0.12121722
Sum1128.08
Variance650.96204
MonotonicityNot monotonic
2023-12-12T13:55:24.295414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
27.1 1
 
3.1%
103.0 1
 
3.1%
74.8 1
 
3.1%
32.91 1
 
3.1%
59.92 1
 
3.1%
63.68 1
 
3.1%
54.75 1
 
3.1%
40.83 1
 
3.1%
27.19 1
 
3.1%
90.54 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 15
46.9%
ValueCountFrequency (%)
27.1 1
3.1%
27.19 1
3.1%
32.91 1
3.1%
40.83 1
3.1%
49.79 1
3.1%
54.75 1
3.1%
58.77 1
3.1%
59.92 1
3.1%
63.68 1
3.1%
73.03 1
3.1%
ValueCountFrequency (%)
103.0 1
3.1%
99.97 1
3.1%
95.88 1
3.1%
94.14 1
3.1%
90.54 1
3.1%
81.78 1
3.1%
74.8 1
3.1%
73.03 1
3.1%
63.68 1
3.1%
59.92 1
3.1%

아르헨티나_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
244
 
1
299
 
1
385
 
1
247
 
1

Length

Max length4
Median length4
Mean length3.84375
Min length3

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
244 1
 
3.1%
299 1
 
3.1%
385 1
 
3.1%
247 1
 
3.1%
330 1
 
3.1%

Length

2023-12-12T13:55:24.412328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:24.528995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
244 1
 
3.1%
299 1
 
3.1%
385 1
 
3.1%
247 1
 
3.1%
330 1
 
3.1%

아르헨티나_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
7946
 
1
8414
 
1
36262
 
1
20189
 
1

Length

Max length5
Median length4
Mean length4.09375
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
7946 1
 
3.1%
8414 1
 
3.1%
36262 1
 
3.1%
20189 1
 
3.1%
21549 1
 
3.1%

Length

2023-12-12T13:55:24.650801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:24.768072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
7946 1
 
3.1%
8414 1
 
3.1%
36262 1
 
3.1%
20189 1
 
3.1%
21549 1
 
3.1%

아르헨티나_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
32.55
 
1
28.13
 
1
94.29
 
1
81.72
 
1

Length

Max length5
Median length4
Mean length4.15625
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
32.55 1
 
3.1%
28.13 1
 
3.1%
94.29 1
 
3.1%
81.72 1
 
3.1%
65.32 1
 
3.1%

Length

2023-12-12T13:55:24.913283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:25.023391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
32.55 1
 
3.1%
28.13 1
 
3.1%
94.29 1
 
3.1%
81.72 1
 
3.1%
65.32 1
 
3.1%

칠레_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
89.39
 
1
106.0
 
1
254.0
 
1

Length

Max length5
Median length4
Mean length4.09375
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
89.39 1
 
3.1%
106.0 1
 
3.1%
254.0 1
 
3.1%

Length

2023-12-12T13:55:25.158100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:25.294762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
89.39 1
 
3.1%
106.0 1
 
3.1%
254.0 1
 
3.1%

칠레_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
2878
 
1
10162
 
1
25127
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
2878 1
 
3.1%
10162 1
 
3.1%
25127 1
 
3.1%

Length

2023-12-12T13:55:25.426496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:25.549471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
2878 1
 
3.1%
10162 1
 
3.1%
25127 1
 
3.1%

칠레_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
32.19
 
1
95.95
 
1
98.81
 
1

Length

Max length5
Median length4
Mean length4.09375
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
32.19 1
 
3.1%
95.95 1
 
3.1%
98.81 1
 
3.1%

Length

2023-12-12T13:55:25.696477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:25.835290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
32.19 1
 
3.1%
95.95 1
 
3.1%
98.81 1
 
3.1%

파나마_물량
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean1327.42
Minimum49.52
Maximum3398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:25.937210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.52
5-th percentile142.14
Q1537.5
median976
Q31874.25
95-th percentile3084.75
Maximum3398
Range3348.48
Interquartile range (IQR)1336.75

Descriptive statistics

Standard deviation1238.8674
Coefficient of variation (CV)0.93328968
Kurtosis0.35127634
Mean1327.42
Median Absolute Deviation (MAD)741.24
Skewness1.0235512
Sum7964.52
Variance1534792.4
MonotonicityNot monotonic
2023-12-12T13:55:26.069221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
49.52 1
 
3.1%
890.0 1
 
3.1%
2145.0 1
 
3.1%
3398.0 1
 
3.1%
420.0 1
 
3.1%
1062.0 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
49.52 1
3.1%
420.0 1
3.1%
890.0 1
3.1%
1062.0 1
3.1%
2145.0 1
3.1%
3398.0 1
3.1%
ValueCountFrequency (%)
3398.0 1
3.1%
2145.0 1
3.1%
1062.0 1
3.1%
890.0 1
3.1%
420.0 1
3.1%
49.52 1
3.1%

파나마_금액
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean73803
Minimum1080
Maximum148683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:26.172113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1080
5-th percentile3870.75
Q124694.75
median73865.5
Q3121231
95-th percentile144782.5
Maximum148683
Range147603
Interquartile range (IQR)96536.25

Descriptive statistics

Standard deviation60792.078
Coefficient of variation (CV)0.82370741
Kurtosis-1.8343434
Mean73803
Median Absolute Deviation (MAD)60419
Skewness0.013761938
Sum442818
Variance3.6956768 × 109
MonotonicityNot monotonic
2023-12-12T13:55:26.272302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1080 1
 
3.1%
62050 1
 
3.1%
148683 1
 
3.1%
133081 1
 
3.1%
12243 1
 
3.1%
85681 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
1080 1
3.1%
12243 1
3.1%
62050 1
3.1%
85681 1
3.1%
133081 1
3.1%
148683 1
3.1%
ValueCountFrequency (%)
148683 1
3.1%
133081 1
3.1%
85681 1
3.1%
62050 1
3.1%
12243 1
3.1%
1080 1
3.1%

파나마_단가
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean51.646667
Minimum21.82
Maximum80.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:26.378888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.82
5-th percentile23.655
Q131.6625
median54.245
Q369.6425
95-th percentile77.9325
Maximum80.66
Range58.84
Interquartile range (IQR)37.98

Descriptive statistics

Standard deviation24.628432
Coefficient of variation (CV)0.47686392
Kurtosis-2.4734865
Mean51.646667
Median Absolute Deviation (MAD)20.295
Skewness-0.07975465
Sum309.88
Variance606.55967
MonotonicityNot monotonic
2023-12-12T13:55:26.481359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
21.82 1
 
3.1%
69.75 1
 
3.1%
69.32 1
 
3.1%
39.17 1
 
3.1%
29.16 1
 
3.1%
80.66 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
21.82 1
3.1%
29.16 1
3.1%
39.17 1
3.1%
69.32 1
3.1%
69.75 1
3.1%
80.66 1
3.1%
ValueCountFrequency (%)
80.66 1
3.1%
69.75 1
3.1%
69.32 1
3.1%
39.17 1
3.1%
29.16 1
3.1%
21.82 1
3.1%

볼리비아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
242
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
242 1
 
3.1%

Length

2023-12-12T13:55:26.629289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:26.729577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
242 1
 
3.1%

볼리비아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
16823
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
16823 1
 
3.1%

Length

2023-12-12T13:55:26.844265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:26.966122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
16823 1
 
3.1%

볼리비아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
69.49
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
69.49 1
 
3.1%

Length

2023-12-12T13:55:27.080716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:27.208061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
69.49 1
 
3.1%

쿠바_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
229
 
1
144
 
1
249
 
1

Length

Max length4
Median length4
Mean length3.90625
Min length3

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
229 1
 
3.1%
144 1
 
3.1%
249 1
 
3.1%

Length

2023-12-12T13:55:27.306146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:27.405684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
229 1
 
3.1%
144 1
 
3.1%
249 1
 
3.1%

쿠바_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
7347
 
1
7211
 
1
25625
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
7347 1
 
3.1%
7211 1
 
3.1%
25625 1
 
3.1%

Length

2023-12-12T13:55:27.537860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:27.665970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
7347 1
 
3.1%
7211 1
 
3.1%
25625 1
 
3.1%

쿠바_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
32.14
 
1
49.94
 
1
103.0
 
1

Length

Max length5
Median length4
Mean length4.09375
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
32.14 1
 
3.1%
49.94 1
 
3.1%
103.0 1
 
3.1%

Length

2023-12-12T13:55:27.775966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:27.884817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
32.14 1
 
3.1%
49.94 1
 
3.1%
103.0 1
 
3.1%

안틸리스_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
233
 
1
761
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
233 1
 
3.1%
761 1
 
3.1%

Length

2023-12-12T13:55:27.993158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:28.088984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
233 1
 
3.1%
761 1
 
3.1%

안틸리스_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
9382
 
1
47900
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
9382 1
 
3.1%
47900 1
 
3.1%

Length

2023-12-12T13:55:28.182445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:28.288725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
9382 1
 
3.1%
47900 1
 
3.1%

안틸리스_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
40.26
 
1
62.98
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
40.26 1
 
3.1%
62.98 1
 
3.1%

Length

2023-12-12T13:55:28.415941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:28.518015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
40.26 1
 
3.1%
62.98 1
 
3.1%

콜롬비아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
201
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
201 1
 
3.1%

Length

2023-12-12T13:55:28.612687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:28.701532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
201 1
 
3.1%

콜롬비아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
13683
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
13683 1
 
3.1%

Length

2023-12-12T13:55:28.804175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:28.895940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
13683 1
 
3.1%

콜롬비아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
68.15
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
68.15 1
 
3.1%

Length

2023-12-12T13:55:28.984579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:29.080447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
68.15 1
 
3.1%

푸에르토리코_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
276
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row276
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
276 1
 
3.1%

Length

2023-12-12T13:55:29.197361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:29.304195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
276 1
 
3.1%

푸에르토리코_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
5686
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row5686
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
5686 1
 
3.1%

Length

2023-12-12T13:55:29.392054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:29.481320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
5686 1
 
3.1%

푸에르토리코_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
20.56
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row20.56
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
20.56 1
 
3.1%

Length

2023-12-12T13:55:29.581294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:29.700629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
20.56 1
 
3.1%

아루바_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
302
 
1
758
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row302
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row758

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
302 1
 
3.1%
758 1
 
3.1%

Length

2023-12-12T13:55:29.836017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:29.937421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
302 1
 
3.1%
758 1
 
3.1%

아루바_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
8352
 
1
20312
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row8352
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20312

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
8352 1
 
3.1%
20312 1
 
3.1%

Length

2023-12-12T13:55:30.035729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:30.130098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
8352 1
 
3.1%
20312 1
 
3.1%

아루바_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
27.63
 
1
26.81
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row27.63
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row26.81

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
27.63 1
 
3.1%
26.81 1
 
3.1%

Length

2023-12-12T13:55:30.223516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:30.322582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
27.63 1
 
3.1%
26.81 1
 
3.1%

이란_물량
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing7
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean5185.7284
Minimum81.21
Maximum20095
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:30.440174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.21
5-th percentile245
Q13408
median4912
Q36172
95-th percentile11149.8
Maximum20095
Range20013.79
Interquartile range (IQR)2764

Descriptive statistics

Standard deviation4246.2246
Coefficient of variation (CV)0.81882896
Kurtosis5.5091191
Mean5185.7284
Median Absolute Deviation (MAD)1459
Skewness1.8701739
Sum129643.21
Variance18030423
MonotonicityNot monotonic
2023-12-12T13:55:30.567581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1201.0 1
 
3.1%
81.21 1
 
3.1%
297.0 1
 
3.1%
3408.0 1
 
3.1%
682.0 1
 
3.1%
4912.0 1
 
3.1%
20095.0 1
 
3.1%
10013.0 1
 
3.1%
5534.0 1
 
3.1%
5780.0 1
 
3.1%
Other values (15) 15
46.9%
(Missing) 7
21.9%
ValueCountFrequency (%)
81.21 1
3.1%
232.0 1
3.1%
297.0 1
3.1%
682.0 1
3.1%
1201.0 1
3.1%
2809.0 1
3.1%
3408.0 1
3.1%
3453.0 1
3.1%
3621.0 1
3.1%
3740.0 1
3.1%
ValueCountFrequency (%)
20095.0 1
3.1%
11434.0 1
3.1%
10013.0 1
3.1%
8414.0 1
3.1%
7616.0 1
3.1%
6191.0 1
3.1%
6172.0 1
3.1%
5780.0 1
3.1%
5534.0 1
3.1%
5478.0 1
3.1%

이란_금액
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing7
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean259023.52
Minimum3731
Maximum1552777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:30.705243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3731
5-th percentile8574.4
Q170291
median125652
Q3370338
95-th percentile739980.8
Maximum1552777
Range1549046
Interquartile range (IQR)300047

Descriptive statistics

Standard deviation340740.99
Coefficient of variation (CV)1.3154828
Kurtosis8.19052
Mean259023.52
Median Absolute Deviation (MAD)101294
Skewness2.5942278
Sum6475588
Variance1.1610442 × 1011
MonotonicityNot monotonic
2023-12-12T13:55:30.827691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16784 1
 
3.1%
6528 1
 
3.1%
16760 1
 
3.1%
147124 1
 
3.1%
41017 1
 
3.1%
370338 1
 
3.1%
1552777 1
 
3.1%
769617 1
 
3.1%
399882 1
 
3.1%
314296 1
 
3.1%
Other values (15) 15
46.9%
(Missing) 7
21.9%
ValueCountFrequency (%)
3731 1
3.1%
6528 1
3.1%
16760 1
3.1%
16784 1
3.1%
41017 1
3.1%
58207 1
3.1%
70291 1
3.1%
70538 1
3.1%
78025 1
3.1%
89496 1
3.1%
ValueCountFrequency (%)
1552777 1
3.1%
769617 1
3.1%
621436 1
3.1%
572118 1
3.1%
399882 1
3.1%
397936 1
3.1%
370338 1
3.1%
314296 1
3.1%
226946 1
3.1%
172729 1
3.1%

이란_단가
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing7
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean43.0088
Minimum13.97
Maximum80.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:30.956452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.97
5-th percentile14.518
Q121.55
median42.65
Q360.12
95-th percentile77.19
Maximum80.38
Range66.41
Interquartile range (IQR)38.57

Descriptive statistics

Standard deviation23.610549
Coefficient of variation (CV)0.5489702
Kurtosis-1.4529788
Mean43.0088
Median Absolute Deviation (MAD)21.1
Skewness0.30064955
Sum1075.22
Variance557.45804
MonotonicityNot monotonic
2023-12-12T13:55:31.074656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.97 1
 
3.1%
80.38 1
 
3.1%
56.38 1
 
3.1%
43.16 1
 
3.1%
60.12 1
 
3.1%
75.39 1
 
3.1%
77.27 1
 
3.1%
76.87 1
 
3.1%
72.26 1
 
3.1%
54.38 1
 
3.1%
Other values (15) 15
46.9%
(Missing) 7
21.9%
ValueCountFrequency (%)
13.97 1
3.1%
14.12 1
3.1%
16.11 1
3.1%
16.75 1
3.1%
17.95 1
3.1%
19.1 1
3.1%
21.55 1
3.1%
24.35 1
3.1%
25.11 1
3.1%
25.92 1
3.1%
ValueCountFrequency (%)
80.38 1
3.1%
77.27 1
3.1%
76.87 1
3.1%
75.39 1
3.1%
75.12 1
3.1%
72.26 1
3.1%
60.12 1
3.1%
56.38 1
3.1%
54.38 1
3.1%
54.35 1
3.1%

이라크_물량
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean4187.247
Minimum16.95
Maximum16804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:31.168922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.95
5-th percentile28.9065
Q1143.75
median716
Q36513.75
95-th percentile14342.5
Maximum16804
Range16787.05
Interquartile range (IQR)6370

Descriptive statistics

Standard deviation5869.2581
Coefficient of variation (CV)1.4016986
Kurtosis1.0736341
Mean4187.247
Median Absolute Deviation (MAD)685.765
Skewness1.4013444
Sum41872.47
Variance34448190
MonotonicityNot monotonic
2023-12-12T13:55:31.270891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
43.52 1
 
3.1%
570.0 1
 
3.1%
215.0 1
 
3.1%
16.95 1
 
3.1%
120.0 1
 
3.1%
862.0 1
 
3.1%
7074.0 1
 
3.1%
11334.0 1
 
3.1%
16804.0 1
 
3.1%
4833.0 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
16.95 1
3.1%
43.52 1
3.1%
120.0 1
3.1%
215.0 1
3.1%
570.0 1
3.1%
862.0 1
3.1%
4833.0 1
3.1%
7074.0 1
3.1%
11334.0 1
3.1%
16804.0 1
3.1%
ValueCountFrequency (%)
16804.0 1
3.1%
11334.0 1
3.1%
7074.0 1
3.1%
4833.0 1
3.1%
862.0 1
3.1%
570.0 1
3.1%
215.0 1
3.1%
120.0 1
3.1%
43.52 1
3.1%
16.95 1
3.1%

이라크_금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean268714.9
Minimum603
Maximum1175339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:31.396793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum603
5-th percentile1083.15
Q113932.25
median32276.5
Q3442316.75
95-th percentile895998.35
Maximum1175339
Range1174736
Interquartile range (IQR)428384.5

Descriptive statistics

Standard deviation386046.42
Coefficient of variation (CV)1.4366394
Kurtosis2.6255789
Mean268714.9
Median Absolute Deviation (MAD)31140
Skewness1.6412479
Sum2687149
Variance1.4903184 × 1011
MonotonicityNot monotonic
2023-12-12T13:55:31.518177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
603 1
 
3.1%
16765 1
 
3.1%
19329 1
 
3.1%
1670 1
 
3.1%
12988 1
 
3.1%
45224 1
 
3.1%
454309 1
 
3.1%
554582 1
 
3.1%
1175339 1
 
3.1%
406340 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
603 1
3.1%
1670 1
3.1%
12988 1
3.1%
16765 1
3.1%
19329 1
3.1%
45224 1
3.1%
406340 1
3.1%
454309 1
3.1%
554582 1
3.1%
1175339 1
3.1%
ValueCountFrequency (%)
1175339 1
3.1%
554582 1
3.1%
454309 1
3.1%
406340 1
3.1%
45224 1
3.1%
19329 1
3.1%
16765 1
3.1%
12988 1
3.1%
1670 1
3.1%
603 1
3.1%

이라크_단가
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean65.928
Minimum13.84
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:31.616114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.84
5-th percentile20.842
Q149.81
median67.085
Q388.42
95-th percentile103.7475
Maximum108
Range94.16
Interquartile range (IQR)38.61

Descriptive statistics

Standard deviation30.320027
Coefficient of variation (CV)0.45989605
Kurtosis-0.73387072
Mean65.928
Median Absolute Deviation (MAD)20.47
Skewness-0.3412301
Sum659.28
Variance919.30404
MonotonicityNot monotonic
2023-12-12T13:55:31.716575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13.84 1
 
3.1%
29.4 1
 
3.1%
89.87 1
 
3.1%
98.55 1
 
3.1%
108.0 1
 
3.1%
52.45 1
 
3.1%
64.22 1
 
3.1%
48.93 1
 
3.1%
69.95 1
 
3.1%
84.07 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
13.84 1
3.1%
29.4 1
3.1%
48.93 1
3.1%
52.45 1
3.1%
64.22 1
3.1%
69.95 1
3.1%
84.07 1
3.1%
89.87 1
3.1%
98.55 1
3.1%
108.0 1
3.1%
ValueCountFrequency (%)
108.0 1
3.1%
98.55 1
3.1%
89.87 1
3.1%
84.07 1
3.1%
69.95 1
3.1%
64.22 1
3.1%
52.45 1
3.1%
48.93 1
3.1%
29.4 1
3.1%
13.84 1
3.1%

쿠웨이트_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean24731.806
Minimum4300
Maximum33457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:32.176156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile11161.5
Q121249
median27068
Q329871.5
95-th percentile32063.5
Maximum33457
Range29157
Interquartile range (IQR)8622.5

Descriptive statistics

Standard deviation7214.3825
Coefficient of variation (CV)0.29170463
Kurtosis1.1278193
Mean24731.806
Median Absolute Deviation (MAD)3528
Skewness-1.2709809
Sum766686
Variance52047315
MonotonicityNot monotonic
2023-12-12T13:55:32.293267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4300 1
 
3.1%
15254 1
 
3.1%
19433 1
 
3.1%
13585 1
 
3.1%
8738 1
 
3.1%
14609 1
 
3.1%
18568 1
 
3.1%
21628 1
 
3.1%
20870 1
 
3.1%
31406 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
4300 1
3.1%
8738 1
3.1%
13585 1
3.1%
14609 1
3.1%
15254 1
3.1%
18568 1
3.1%
19433 1
3.1%
20870 1
3.1%
21628 1
3.1%
23510 1
3.1%
ValueCountFrequency (%)
33457 1
3.1%
32721 1
3.1%
31406 1
3.1%
31374 1
3.1%
30727 1
3.1%
30596 1
3.1%
30157 1
3.1%
29971 1
3.1%
29772 1
3.1%
29301 1
3.1%

쿠웨이트_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1245142.3
Minimum81914
Maximum3115057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:32.414184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81914
5-th percentile299432
Q1665954
median1001577
Q31719889.5
95-th percentile2720842
Maximum3115057
Range3033143
Interquartile range (IQR)1053935.5

Descriptive statistics

Standard deviation792245.55
Coefficient of variation (CV)0.63626909
Kurtosis-0.2707752
Mean1245142.3
Median Absolute Deviation (MAD)531152
Skewness0.7412322
Sum38599411
Variance6.2765301 × 1011
MonotonicityNot monotonic
2023-12-12T13:55:32.543238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
81914 1
 
3.1%
264753 1
 
3.1%
1734300 1
 
3.1%
974495 1
 
3.1%
334111 1
 
3.1%
810856 1
 
3.1%
1184690 1
 
3.1%
1097665 1
 
3.1%
821102 1
 
3.1%
1597702 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
81914 1
3.1%
264753 1
3.1%
334111 1
3.1%
444167 1
3.1%
470425 1
3.1%
572077 1
3.1%
638485 1
3.1%
650470 1
3.1%
681438 1
3.1%
695259 1
3.1%
ValueCountFrequency (%)
3115057 1
3.1%
2747321 1
3.1%
2694363 1
3.1%
2341453 1
3.1%
2115819 1
3.1%
1996411 1
3.1%
1975492 1
3.1%
1734300 1
3.1%
1705479 1
3.1%
1625647 1
3.1%

쿠웨이트_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean49.544516
Minimum16.9
Maximum97.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:32.663721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.9
5-th percentile17.75
Q125.665
median47.95
Q368.82
95-th percentile93.615
Maximum97.12
Range80.22
Interquartile range (IQR)43.155

Descriptive statistics

Standard deviation26.825141
Coefficient of variation (CV)0.54143512
Kurtosis-1.1313885
Mean49.544516
Median Absolute Deviation (MAD)22.77
Skewness0.4538538
Sum1535.88
Variance719.5882
MonotonicityNot monotonic
2023-12-12T13:55:32.787912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19.05 1
 
3.1%
17.36 1
 
3.1%
89.24 1
 
3.1%
71.73 1
 
3.1%
38.24 1
 
3.1%
55.5 1
 
3.1%
63.8 1
 
3.1%
50.75 1
 
3.1%
39.34 1
 
3.1%
50.87 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
16.9 1
3.1%
17.36 1
3.1%
18.14 1
3.1%
19.05 1
3.1%
19.52 1
3.1%
21.17 1
3.1%
24.38 1
3.1%
25.18 1
3.1%
26.15 1
3.1%
26.87 1
3.1%
ValueCountFrequency (%)
97.12 1
3.1%
94.12 1
3.1%
93.11 1
3.1%
92.28 1
3.1%
89.24 1
3.1%
84.92 1
3.1%
73.28 1
3.1%
71.73 1
3.1%
65.91 1
3.1%
63.8 1
3.1%

바레인_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean4238.2903
Minimum1298
Maximum10083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:32.925178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1298
5-th percentile1948
Q13212
median4359
Q35095
95-th percentile6003
Maximum10083
Range8785
Interquartile range (IQR)1883

Descriptive statistics

Standard deviation1643.9066
Coefficient of variation (CV)0.38787021
Kurtosis4.2604657
Mean4238.2903
Median Absolute Deviation (MAD)777
Skewness1.2080847
Sum131387
Variance2702428.7
MonotonicityNot monotonic
2023-12-12T13:55:33.028146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2924 1
 
3.1%
1298 1
 
3.1%
4961 1
 
3.1%
3669 1
 
3.1%
4397 1
 
3.1%
4520 1
 
3.1%
5110 1
 
3.1%
5080 1
 
3.1%
3490 1
 
3.1%
6088 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
1298 1
3.1%
1678 1
3.1%
2218 1
3.1%
2357 1
3.1%
2741 1
3.1%
2768 1
3.1%
2924 1
3.1%
2934 1
3.1%
3490 1
3.1%
3638 1
3.1%
ValueCountFrequency (%)
10083 1
3.1%
6088 1
3.1%
5918 1
3.1%
5687 1
3.1%
5465 1
3.1%
5404 1
3.1%
5136 1
3.1%
5110 1
3.1%
5080 1
3.1%
4961 1
3.1%

바레인_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean222177.9
Minimum23985
Maximum617918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:33.148130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23985
5-th percentile60278
Q1117919.5
median176330
Q3303404.5
95-th percentile455465.5
Maximum617918
Range593933
Interquartile range (IQR)185485

Descriptive statistics

Standard deviation145339.48
Coefficient of variation (CV)0.65415813
Kurtosis0.31278223
Mean222177.9
Median Absolute Deviation (MAD)88604
Skewness0.92400655
Sum6887515
Variance2.1123565 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:33.265663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
66460 1
 
3.1%
23985 1
 
3.1%
448011 1
 
3.1%
267634 1
 
3.1%
224441 1
 
3.1%
259812 1
 
3.1%
362224 1
 
3.1%
264934 1
 
3.1%
148220 1
 
3.1%
339175 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
23985 1
3.1%
59249 1
3.1%
61307 1
3.1%
66460 1
3.1%
78590 1
3.1%
86146 1
3.1%
90644 1
3.1%
108978 1
3.1%
126861 1
3.1%
132520 1
3.1%
ValueCountFrequency (%)
617918 1
3.1%
462920 1
3.1%
448011 1
3.1%
431381 1
3.1%
416155 1
3.1%
371489 1
3.1%
362224 1
3.1%
339175 1
3.1%
267634 1
3.1%
264934 1
3.1%

바레인_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean53.379355
Minimum16.85
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:33.390725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.85
5-th percentile17.99
Q124.665
median51.68
Q373.065
95-th percentile105.5
Maximum109
Range92.15
Interquartile range (IQR)48.4

Descriptive statistics

Standard deviation30.434307
Coefficient of variation (CV)0.57015127
Kurtosis-1.0120961
Mean53.379355
Median Absolute Deviation (MAD)25.48
Skewness0.4971272
Sum1654.76
Variance926.24705
MonotonicityNot monotonic
2023-12-12T13:55:33.519412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
22.73 1
 
3.1%
18.47 1
 
3.1%
90.3 1
 
3.1%
72.95 1
 
3.1%
51.04 1
 
3.1%
57.47 1
 
3.1%
70.88 1
 
3.1%
52.15 1
 
3.1%
42.47 1
 
3.1%
55.72 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
16.85 1
3.1%
17.51 1
3.1%
18.47 1
3.1%
20.17 1
3.1%
20.2 1
3.1%
22.2 1
3.1%
22.73 1
3.1%
24.63 1
3.1%
24.7 1
3.1%
28.67 1
3.1%
ValueCountFrequency (%)
109.0 1
3.1%
106.0 1
3.1%
105.0 1
3.1%
102.0 1
3.1%
99.74 1
3.1%
90.3 1
3.1%
77.16 1
3.1%
73.18 1
3.1%
72.95 1
3.1%
70.88 1
3.1%

카타르_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean16705.677
Minimum739
Maximum44440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:33.652026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum739
5-th percentile1730
Q14930.5
median9322
Q329507
95-th percentile42703.5
Maximum44440
Range43701
Interquartile range (IQR)24576.5

Descriptive statistics

Standard deviation15034.414
Coefficient of variation (CV)0.89995838
Kurtosis-1.1552509
Mean16705.677
Median Absolute Deviation (MAD)7044
Skewness0.68154158
Sum517876
Variance2.2603361 × 108
MonotonicityNot monotonic
2023-12-12T13:55:33.797879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1792 1
 
3.1%
2674 1
 
3.1%
27625 1
 
3.1%
18567 1
 
3.1%
11085 1
 
3.1%
30031 1
 
3.1%
44440 1
 
3.1%
41631 1
 
3.1%
34097 1
 
3.1%
28983 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
739 1
3.1%
1668 1
3.1%
1792 1
3.1%
2278 1
3.1%
2674 1
3.1%
2705 1
3.1%
3035 1
3.1%
4291 1
3.1%
5570 1
3.1%
6108 1
3.1%
ValueCountFrequency (%)
44440 1
3.1%
43776 1
3.1%
41631 1
3.1%
40254 1
3.1%
38547 1
3.1%
34097 1
3.1%
33565 1
3.1%
30031 1
3.1%
28983 1
3.1%
27625 1
3.1%

카타르_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1117766.9
Minimum21887
Maximum4139871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:33.911534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21887
5-th percentile26340.5
Q1119140
median492702
Q31797136
95-th percentile3700901
Maximum4139871
Range4117984
Interquartile range (IQR)1677996

Descriptive statistics

Standard deviation1292762.3
Coefficient of variation (CV)1.1565581
Kurtosis-0.023882794
Mean1117766.9
Median Absolute Deviation (MAD)450429
Skewness1.1019024
Sum34650774
Variance1.6712344 × 1012
MonotonicityNot monotonic
2023-12-12T13:55:34.019061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
30426 1
 
3.1%
43459 1
 
3.1%
2409525 1
 
3.1%
1339279 1
 
3.1%
492702 1
 
3.1%
1693664 1
 
3.1%
3000495 1
 
3.1%
2164100 1
 
3.1%
1421035 1
 
3.1%
1501608 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
21887 1
3.1%
22255 1
3.1%
30426 1
3.1%
42273 1
3.1%
42493 1
3.1%
43459 1
3.1%
53697 1
3.1%
103336 1
3.1%
134944 1
3.1%
184399 1
3.1%
ValueCountFrequency (%)
4139871 1
3.1%
3900820 1
3.1%
3500982 1
3.1%
3183801 1
3.1%
3000495 1
3.1%
2409525 1
3.1%
2164100 1
3.1%
1900608 1
3.1%
1693664 1
3.1%
1501608 1
3.1%

카타르_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean48.705806
Minimum13.35
Maximum96.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:34.146390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.35
5-th percentile15.125
Q124.925
median45.24
Q369.34
95-th percentile94.71
Maximum96.91
Range83.56
Interquartile range (IQR)44.415

Descriptive statistics

Standard deviation27.205509
Coefficient of variation (CV)0.55856808
Kurtosis-1.1057314
Mean48.705806
Median Absolute Deviation (MAD)22.28
Skewness0.38691793
Sum1509.88
Variance740.13972
MonotonicityNot monotonic
2023-12-12T13:55:34.269281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
16.98 1
 
3.1%
16.25 1
 
3.1%
87.22 1
 
3.1%
72.13 1
 
3.1%
44.45 1
 
3.1%
56.4 1
 
3.1%
67.52 1
 
3.1%
51.98 1
 
3.1%
41.68 1
 
3.1%
51.81 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
13.35 1
3.1%
14.0 1
3.1%
16.25 1
3.1%
16.98 1
3.1%
18.56 1
3.1%
18.84 1
3.1%
19.85 1
3.1%
24.08 1
3.1%
25.77 1
3.1%
28.36 1
3.1%
ValueCountFrequency (%)
96.91 1
3.1%
94.85 1
3.1%
94.57 1
3.1%
90.82 1
3.1%
87.22 1
3.1%
78.72 1
3.1%
72.13 1
3.1%
71.16 1
3.1%
67.52 1
3.1%
64.83 1
3.1%

아랍에미레이트_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean34815.71
Minimum8476
Maximum53181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:34.396541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8476
5-th percentile11856
Q123857
median39329
Q344822
95-th percentile52992
Maximum53181
Range44705
Interquartile range (IQR)20965

Descriptive statistics

Standard deviation13897.252
Coefficient of variation (CV)0.39916614
Kurtosis-0.94029724
Mean34815.71
Median Absolute Deviation (MAD)8182
Skewness-0.56087498
Sum1079287
Variance1.9313363 × 108
MonotonicityNot monotonic
2023-12-12T13:55:34.507257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8476 1
 
3.1%
11697 1
 
3.1%
51135 1
 
3.1%
36465 1
 
3.1%
37978 1
 
3.1%
41952 1
 
3.1%
43124 1
 
3.1%
44915 1
 
3.1%
53070 1
 
3.1%
41060 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
8476 1
3.1%
11697 1
3.1%
12015 1
3.1%
12744 1
3.1%
16060 1
3.1%
16463 1
3.1%
17566 1
3.1%
19676 1
3.1%
28038 1
3.1%
28639 1
3.1%
ValueCountFrequency (%)
53181 1
3.1%
53070 1
3.1%
52914 1
3.1%
51135 1
3.1%
50924 1
3.1%
45765 1
3.1%
44947 1
3.1%
44915 1
3.1%
44729 1
3.1%
43124 1
3.1%

아랍에미레이트_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1975797.6
Minimum135110
Maximum5037329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:34.625477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135110
5-th percentile185619.5
Q1617277
median2064212
Q32535413
95-th percentile4973909
Maximum5037329
Range4902219
Interquartile range (IQR)1918136

Descriptive statistics

Standard deviation1482059.1
Coefficient of variation (CV)0.75010675
Kurtosis-0.25613389
Mean1975797.6
Median Absolute Deviation (MAD)978568
Skewness0.65562207
Sum61249726
Variance2.1964992 × 1012
MonotonicityNot monotonic
2023-12-12T13:55:34.743277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
135110 1
 
3.1%
190787 1
 
3.1%
4343422 1
 
3.1%
2584797 1
 
3.1%
1727420 1
 
3.1%
2381126 1
 
3.1%
2873167 1
 
3.1%
2403388 1
 
3.1%
2169204 1
 
3.1%
2108726 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
135110 1
3.1%
180452 1
3.1%
190787 1
3.1%
217008 1
3.1%
322033 1
3.1%
345509 1
3.1%
348609 1
3.1%
381937 1
3.1%
852617 1
3.1%
1085644 1
3.1%
ValueCountFrequency (%)
5037329 1
3.1%
5023938 1
3.1%
4923880 1
3.1%
4343422 1
3.1%
3505938 1
3.1%
3347366 1
3.1%
2873167 1
3.1%
2584797 1
3.1%
2486029 1
3.1%
2403388 1
3.1%

아랍에미레이트_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean49.460323
Minimum14.16
Maximum98.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:34.880586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.16
5-th percentile16.125
Q124.025
median49.37
Q369.11
95-th percentile93.885
Maximum98.66
Range84.5
Interquartile range (IQR)45.085

Descriptive statistics

Standard deviation27.435414
Coefficient of variation (CV)0.55469541
Kurtosis-1.161139
Mean49.460323
Median Absolute Deviation (MAD)23.77
Skewness0.35904844
Sum1533.27
Variance752.70194
MonotonicityNot monotonic
2023-12-12T13:55:34.982724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
15.94 1
 
3.1%
16.31 1
 
3.1%
84.94 1
 
3.1%
70.89 1
 
3.1%
45.48 1
 
3.1%
56.76 1
 
3.1%
66.63 1
 
3.1%
53.51 1
 
3.1%
40.87 1
 
3.1%
51.36 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
14.16 1
3.1%
15.94 1
3.1%
16.31 1
3.1%
16.37 1
3.1%
18.06 1
3.1%
19.67 1
3.1%
21.18 1
3.1%
23.78 1
3.1%
24.27 1
3.1%
27.15 1
3.1%
ValueCountFrequency (%)
98.66 1
3.1%
94.72 1
3.1%
93.05 1
3.1%
90.26 1
3.1%
88.67 1
3.1%
84.94 1
3.1%
73.14 1
3.1%
70.89 1
3.1%
67.33 1
3.1%
66.63 1
3.1%

사우디아라비아_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean40362.903
Minimum11706
Maximum67591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:35.082147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11706
5-th percentile20329
Q129988
median41609
Q349445.5
95-th percentile60657.5
Maximum67591
Range55885
Interquartile range (IQR)19457.5

Descriptive statistics

Standard deviation13883.013
Coefficient of variation (CV)0.34395476
Kurtosis-0.62799199
Mean40362.903
Median Absolute Deviation (MAD)10189
Skewness-0.01502265
Sum1251250
Variance1.9273804 × 108
MonotonicityNot monotonic
2023-12-12T13:55:35.191252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
46040 1
 
3.1%
51798 1
 
3.1%
24681 1
 
3.1%
20906 1
 
3.1%
11706 1
 
3.1%
19752 1
 
3.1%
21922 1
 
3.1%
26841 1
 
3.1%
37765 1
 
3.1%
34983 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
11706 1
3.1%
19752 1
3.1%
20906 1
3.1%
21922 1
3.1%
24681 1
3.1%
26841 1
3.1%
28088 1
3.1%
28370 1
3.1%
31606 1
3.1%
31974 1
3.1%
ValueCountFrequency (%)
67591 1
3.1%
61195 1
3.1%
60120 1
3.1%
59068 1
3.1%
57777 1
3.1%
55221 1
3.1%
52441 1
3.1%
51798 1
3.1%
47093 1
3.1%
46040 1
3.1%

사우디아라비아_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1760833.9
Minimum542867
Maximum4257943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:35.327310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum542867
5-th percentile818990.5
Q11086589.5
median1516049
Q32313627
95-th percentile3275901
Maximum4257943
Range3715076
Interquartile range (IQR)1227037.5

Descriptive statistics

Standard deviation889018.2
Coefficient of variation (CV)0.50488476
Kurtosis0.6543039
Mean1760833.9
Median Absolute Deviation (MAD)507233
Skewness1.0014433
Sum54585851
Variance7.9035336 × 1011
MonotonicityNot monotonic
2023-12-12T13:55:35.451081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
819238 1
 
3.1%
833509 1
 
3.1%
2235487 1
 
3.1%
1512018 1
 
3.1%
542867 1
 
3.1%
1128010 1
 
3.1%
1516049 1
 
3.1%
1349180 1
 
3.1%
1557595 1
 
3.1%
1874574 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
542867 1
3.1%
818743 1
3.1%
819238 1
3.1%
833509 1
3.1%
871299 1
3.1%
890112 1
3.1%
1008816 1
3.1%
1081688 1
3.1%
1091491 1
3.1%
1128010 1
3.1%
ValueCountFrequency (%)
4257943 1
3.1%
3413158 1
3.1%
3138644 1
3.1%
3014770 1
3.1%
2702534 1
3.1%
2680744 1
3.1%
2428354 1
3.1%
2391767 1
3.1%
2235487 1
3.1%
1995994 1
3.1%

사우디아라비아_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean49.652581
Minimum15.08
Maximum96.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:35.607045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.08
5-th percentile15.85
Q123.375
median47.29
Q370.74
95-th percentile94.605
Maximum96.22
Range81.14
Interquartile range (IQR)47.365

Descriptive statistics

Standard deviation28.284242
Coefficient of variation (CV)0.56964293
Kurtosis-1.1893293
Mean49.652581
Median Absolute Deviation (MAD)24.43
Skewness0.40034719
Sum1539.23
Variance799.99833
MonotonicityNot monotonic
2023-12-12T13:55:35.760672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
17.79 1
 
3.1%
16.09 1
 
3.1%
90.58 1
 
3.1%
72.32 1
 
3.1%
46.38 1
 
3.1%
57.11 1
 
3.1%
69.16 1
 
3.1%
50.27 1
 
3.1%
41.24 1
 
3.1%
53.58 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
15.08 1
3.1%
15.61 1
3.1%
16.09 1
3.1%
17.79 1
3.1%
17.99 1
3.1%
18.48 1
3.1%
20.13 1
3.1%
22.86 1
3.1%
23.89 1
3.1%
26.45 1
3.1%
ValueCountFrequency (%)
96.22 1
3.1%
94.72 1
3.1%
94.49 1
3.1%
94.29 1
3.1%
93.31 1
3.1%
90.58 1
3.1%
75.04 1
3.1%
72.32 1
3.1%
69.16 1
3.1%
62.89 1
3.1%

예멘_물량
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing18
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean490.33929
Minimum43.39
Maximum1289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:35.886819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.39
5-th percentile48.5705
Q1237.5
median416
Q3719.75
95-th percentile1055
Maximum1289
Range1245.61
Interquartile range (IQR)482.25

Descriptive statistics

Standard deviation360.08759
Coefficient of variation (CV)0.73436414
Kurtosis0.16326682
Mean490.33929
Median Absolute Deviation (MAD)263.5
Skewness0.75762302
Sum6864.75
Variance129663.07
MonotonicityNot monotonic
2023-12-12T13:55:36.026830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1289.0 1
 
3.1%
192.0 1
 
3.1%
257.0 1
 
3.1%
231.0 1
 
3.1%
720.0 1
 
3.1%
760.0 1
 
3.1%
43.39 1
 
3.1%
51.36 1
 
3.1%
457.0 1
 
3.1%
375.0 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 18
56.2%
ValueCountFrequency (%)
43.39 1
3.1%
51.36 1
3.1%
192.0 1
3.1%
231.0 1
3.1%
257.0 1
3.1%
262.0 1
3.1%
375.0 1
3.1%
457.0 1
3.1%
579.0 1
3.1%
719.0 1
3.1%
ValueCountFrequency (%)
1289.0 1
3.1%
929.0 1
3.1%
760.0 1
3.1%
720.0 1
3.1%
719.0 1
3.1%
579.0 1
3.1%
457.0 1
3.1%
375.0 1
3.1%
262.0 1
3.1%
257.0 1
3.1%

예멘_금액
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing18
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean29268.143
Minimum1314
Maximum94240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:36.159149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1314
5-th percentile1769
Q14641.75
median22918.5
Q334923.5
95-th percentile83017.75
Maximum94240
Range92926
Interquartile range (IQR)30281.75

Descriptive statistics

Standard deviation29164.073
Coefficient of variation (CV)0.99644428
Kurtosis0.60786215
Mean29268.143
Median Absolute Deviation (MAD)17587
Skewness1.1883267
Sum409754
Variance8.5054318 × 108
MonotonicityNot monotonic
2023-12-12T13:55:36.285575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20261 1
 
3.1%
3952 1
 
3.1%
6711 1
 
3.1%
3906 1
 
3.1%
23495 1
 
3.1%
22342 1
 
3.1%
1314 1
 
3.1%
2014 1
 
3.1%
29516 1
 
3.1%
36726 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 18
56.2%
ValueCountFrequency (%)
1314 1
3.1%
2014 1
3.1%
3906 1
3.1%
3952 1
3.1%
6711 1
3.1%
20261 1
3.1%
22342 1
3.1%
23495 1
3.1%
27100 1
3.1%
29516 1
3.1%
ValueCountFrequency (%)
94240 1
3.1%
76975 1
3.1%
61202 1
3.1%
36726 1
3.1%
29516 1
3.1%
27100 1
3.1%
23495 1
3.1%
22342 1
3.1%
20261 1
3.1%
6711 1
3.1%

예멘_단가
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing18
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean56.469286
Minimum15.71
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:36.383082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.71
5-th percentile16.4835
Q126.9675
median35.935
Q3100.25
95-th percentile106.35
Maximum107
Range91.29
Interquartile range (IQR)73.2825

Descriptive statistics

Standard deviation37.885463
Coefficient of variation (CV)0.67090388
Kurtosis-1.8651488
Mean56.469286
Median Absolute Deviation (MAD)19.63
Skewness0.41553633
Sum790.57
Variance1435.3083
MonotonicityNot monotonic
2023-12-12T13:55:36.479791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
15.71 1
 
3.1%
20.63 1
 
3.1%
26.15 1
 
3.1%
16.9 1
 
3.1%
32.65 1
 
3.1%
29.42 1
 
3.1%
30.28 1
 
3.1%
39.22 1
 
3.1%
64.61 1
 
3.1%
98.0 1
 
3.1%
Other values (4) 4
 
12.5%
(Missing) 18
56.2%
ValueCountFrequency (%)
15.71 1
3.1%
16.9 1
3.1%
20.63 1
3.1%
26.15 1
3.1%
29.42 1
3.1%
30.28 1
3.1%
32.65 1
3.1%
39.22 1
3.1%
64.61 1
3.1%
98.0 1
3.1%
ValueCountFrequency (%)
107.0 1
3.1%
106.0 1
3.1%
103.0 1
3.1%
101.0 1
3.1%
98.0 1
3.1%
64.61 1
3.1%
39.22 1
3.1%
32.65 1
3.1%
30.28 1
3.1%
29.42 1
3.1%

오만_물량
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean1204.5111
Minimum12.76
Maximum4395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:36.575661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.76
5-th percentile69.631
Q1344
median761
Q31370.5
95-th percentile3790.2
Maximum4395
Range4382.24
Interquartile range (IQR)1026.5

Descriptive statistics

Standard deviation1258.2043
Coefficient of variation (CV)1.0445768
Kurtosis1.644163
Mean1204.5111
Median Absolute Deviation (MAD)484
Skewness1.5696148
Sum22885.71
Variance1583078
MonotonicityNot monotonic
2023-12-12T13:55:36.678187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
761.0 1
 
3.1%
277.0 1
 
3.1%
300.0 1
 
3.1%
507.0 1
 
3.1%
252.0 1
 
3.1%
1102.0 1
 
3.1%
1492.0 1
 
3.1%
1765.0 1
 
3.1%
1045.0 1
 
3.1%
3723.0 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
12.76 1
3.1%
75.95 1
3.1%
252.0 1
3.1%
277.0 1
3.1%
300.0 1
3.1%
388.0 1
3.1%
507.0 1
3.1%
530.0 1
3.1%
743.0 1
3.1%
761.0 1
3.1%
ValueCountFrequency (%)
4395.0 1
3.1%
3723.0 1
3.1%
3255.0 1
3.1%
1765.0 1
3.1%
1492.0 1
3.1%
1249.0 1
3.1%
1102.0 1
3.1%
1045.0 1
3.1%
1013.0 1
3.1%
761.0 1
3.1%

오만_금액
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean67231.895
Minimum279
Maximum191480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:36.781790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum279
5-th percentile2597.4
Q119424
median54753
Q3112089.5
95-th percentile184956.8
Maximum191480
Range191201
Interquartile range (IQR)92665.5

Descriptive statistics

Standard deviation59893.657
Coefficient of variation (CV)0.89085183
Kurtosis-0.33693321
Mean67231.895
Median Absolute Deviation (MAD)39881
Skewness0.85729874
Sum1277406
Variance3.5872501 × 109
MonotonicityNot monotonic
2023-12-12T13:55:36.898325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
12907 1
 
3.1%
27980 1
 
3.1%
21872 1
 
3.1%
16976 1
 
3.1%
14872 1
 
3.1%
64459 1
 
3.1%
127442 1
 
3.1%
184232 1
 
3.1%
119228 1
 
3.1%
60257 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
279 1
3.1%
2855 1
3.1%
12907 1
3.1%
14872 1
3.1%
16976 1
3.1%
21872 1
3.1%
27980 1
3.1%
30501 1
3.1%
31556 1
3.1%
54753 1
3.1%
ValueCountFrequency (%)
191480 1
3.1%
184232 1
3.1%
132794 1
3.1%
127442 1
3.1%
119228 1
3.1%
104951 1
3.1%
78012 1
3.1%
64459 1
3.1%
60257 1
3.1%
54753 1
3.1%

오만_단가
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean64.182105
Minimum16.19
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:37.017131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.19
5-th percentile16.883
Q135.53
median59.53
Q393.17
95-th percentile106.8
Maximum114
Range97.81
Interquartile range (IQR)57.64

Descriptive statistics

Standard deviation33.178814
Coefficient of variation (CV)0.51694804
Kurtosis-1.2778416
Mean64.182105
Median Absolute Deviation (MAD)26.06
Skewness-0.090274098
Sum1219.46
Variance1100.8337
MonotonicityNot monotonic
2023-12-12T13:55:37.116063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
104.0 2
 
6.2%
100.93 1
 
3.1%
73.01 1
 
3.1%
33.47 1
 
3.1%
59.12 1
 
3.1%
58.48 1
 
3.1%
85.41 1
 
3.1%
114.0 1
 
3.1%
16.19 1
 
3.1%
16.96 1
 
3.1%
Other values (8) 8
25.0%
(Missing) 13
40.6%
ValueCountFrequency (%)
16.19 1
3.1%
16.96 1
3.1%
17.75 1
3.1%
21.9 1
3.1%
33.47 1
3.1%
37.59 1
3.1%
58.48 1
3.1%
58.82 1
3.1%
59.12 1
3.1%
59.53 1
3.1%
ValueCountFrequency (%)
114.0 1
3.1%
106.0 1
3.1%
104.0 2
6.2%
100.93 1
3.1%
85.41 1
3.1%
78.63 1
3.1%
73.67 1
3.1%
73.01 1
3.1%
59.53 1
3.1%
59.12 1
3.1%

중립지대_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
296
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
296 1
 
3.1%

Length

2023-12-12T13:55:37.232692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:37.322757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
296 1
 
3.1%

중립지대_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
4290
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
4290 1
 
3.1%

Length

2023-12-12T13:55:37.403522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:37.487138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
4290 1
 
3.1%

중립지대_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
14.51
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
14.51 1
 
3.1%

Length

2023-12-12T13:55:37.979670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:38.097722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
14.51 1
 
3.1%

시리아_물량
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean540.5
Minimum134
Maximum1535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:38.177739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134
5-th percentile172.7
Q1257.75
median406.5
Q3702.5
95-th percentile1240.25
Maximum1535
Range1401
Interquartile range (IQR)444.75

Descriptive statistics

Standard deviation425.1991
Coefficient of variation (CV)0.78667734
Kurtosis2.6463667
Mean540.5
Median Absolute Deviation (MAD)174
Skewness1.589799
Sum5405
Variance180794.28
MonotonicityNot monotonic
2023-12-12T13:55:38.306794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
134 1
 
3.1%
296 1
 
3.1%
510 1
 
3.1%
220 1
 
3.1%
245 1
 
3.1%
303 1
 
3.1%
764 1
 
3.1%
880 1
 
3.1%
1535 1
 
3.1%
518 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
134 1
3.1%
220 1
3.1%
245 1
3.1%
296 1
3.1%
303 1
3.1%
510 1
3.1%
518 1
3.1%
764 1
3.1%
880 1
3.1%
1535 1
3.1%
ValueCountFrequency (%)
1535 1
3.1%
880 1
3.1%
764 1
3.1%
518 1
3.1%
510 1
3.1%
303 1
3.1%
296 1
3.1%
245 1
3.1%
220 1
3.1%
134 1
3.1%

시리아_금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean41483.9
Minimum3522
Maximum128852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:38.457609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3522
5-th percentile5220.3
Q19229.75
median15239
Q366692
95-th percentile114969.5
Maximum128852
Range125330
Interquartile range (IQR)57462.25

Descriptive statistics

Standard deviation44711.834
Coefficient of variation (CV)1.0778117
Kurtosis-0.19634352
Mean41483.9
Median Absolute Deviation (MAD)9830
Skewness1.0467141
Sum414839
Variance1.9991481 × 109
MonotonicityNot monotonic
2023-12-12T13:55:38.574277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3522 1
 
3.1%
7296 1
 
3.1%
9652 1
 
3.1%
9089 1
 
3.1%
10552 1
 
3.1%
19926 1
 
3.1%
98002 1
 
3.1%
69410 1
 
3.1%
128852 1
 
3.1%
58538 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
3522 1
3.1%
7296 1
3.1%
9089 1
3.1%
9652 1
3.1%
10552 1
3.1%
19926 1
3.1%
58538 1
3.1%
69410 1
3.1%
98002 1
3.1%
128852 1
3.1%
ValueCountFrequency (%)
128852 1
3.1%
98002 1
3.1%
69410 1
3.1%
58538 1
3.1%
19926 1
3.1%
10552 1
3.1%
9652 1
3.1%
9089 1
3.1%
7296 1
3.1%
3522 1
3.1%

시리아_단가
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean62.387
Minimum18.93
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:38.689564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.93
5-th percentile21.513
Q130.11
median54.375
Q382.69
95-th percentile121.25
Maximum128
Range109.07
Interquartile range (IQR)52.58

Descriptive statistics

Standard deviation38.065885
Coefficient of variation (CV)0.61015733
Kurtosis-0.90936626
Mean62.387
Median Absolute Deviation (MAD)28.8
Skewness0.57320136
Sum623.87
Variance1449.0116
MonotonicityNot monotonic
2023-12-12T13:55:38.808821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
26.37 1
 
3.1%
24.67 1
 
3.1%
18.93 1
 
3.1%
41.33 1
 
3.1%
43.03 1
 
3.1%
65.72 1
 
3.1%
128.0 1
 
3.1%
78.85 1
 
3.1%
83.97 1
 
3.1%
113.0 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
18.93 1
3.1%
24.67 1
3.1%
26.37 1
3.1%
41.33 1
3.1%
43.03 1
3.1%
65.72 1
3.1%
78.85 1
3.1%
83.97 1
3.1%
113.0 1
3.1%
128.0 1
3.1%
ValueCountFrequency (%)
128.0 1
3.1%
113.0 1
3.1%
83.97 1
3.1%
78.85 1
3.1%
65.72 1
3.1%
43.03 1
3.1%
41.33 1
3.1%
26.37 1
3.1%
24.67 1
3.1%
18.93 1
3.1%

터키_물량
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean504.55
Minimum52.95
Maximum1273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:38.946181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.95
5-th percentile82.17
Q1206
median329
Q3880
95-th percentile1173.4
Maximum1273
Range1220.05
Interquartile range (IQR)674

Descriptive statistics

Standard deviation439.8047
Coefficient of variation (CV)0.87167713
Kurtosis-0.86736451
Mean504.55
Median Absolute Deviation (MAD)203
Skewness0.84851107
Sum4540.95
Variance193428.17
MonotonicityNot monotonic
2023-12-12T13:55:39.078500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
410.0 1
 
3.1%
1273.0 1
 
3.1%
880.0 1
 
3.1%
206.0 1
 
3.1%
240.0 1
 
3.1%
329.0 1
 
3.1%
1024.0 1
 
3.1%
126.0 1
 
3.1%
52.95 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
52.95 1
3.1%
126.0 1
3.1%
206.0 1
3.1%
240.0 1
3.1%
329.0 1
3.1%
410.0 1
3.1%
880.0 1
3.1%
1024.0 1
3.1%
1273.0 1
3.1%
ValueCountFrequency (%)
1273.0 1
3.1%
1024.0 1
3.1%
880.0 1
3.1%
410.0 1
3.1%
329.0 1
3.1%
240.0 1
3.1%
206.0 1
3.1%
126.0 1
3.1%
52.95 1
3.1%

터키_금액
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean25388.556
Minimum4901
Maximum112354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:39.223675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4901
5-th percentile5853
Q17458
median17046
Q320857
95-th percentile77483.2
Maximum112354
Range107453
Interquartile range (IQR)13399

Descriptive statistics

Standard deviation33318.512
Coefficient of variation (CV)1.3123437
Kurtosis7.9493028
Mean25388.556
Median Absolute Deviation (MAD)8131
Skewness2.7601069
Sum228497
Variance1.1101232 × 109
MonotonicityNot monotonic
2023-12-12T13:55:39.345114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7458 1
 
3.1%
18725 1
 
3.1%
20857 1
 
3.1%
7281 1
 
3.1%
25177 1
 
3.1%
17046 1
 
3.1%
112354 1
 
3.1%
14698 1
 
3.1%
4901 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
4901 1
3.1%
7281 1
3.1%
7458 1
3.1%
14698 1
3.1%
17046 1
3.1%
18725 1
3.1%
20857 1
3.1%
25177 1
3.1%
112354 1
3.1%
ValueCountFrequency (%)
112354 1
3.1%
25177 1
3.1%
20857 1
3.1%
18725 1
3.1%
17046 1
3.1%
14698 1
3.1%
7458 1
3.1%
7281 1
3.1%
4901 1
3.1%

터키_단가
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean63.133333
Minimum14.71
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:39.449583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.71
5-th percentile16.098
Q123.71
median51.78
Q3105
95-th percentile114.2
Maximum117
Range102.29
Interquartile range (IQR)81.29

Descriptive statistics

Standard deviation42.635798
Coefficient of variation (CV)0.67532943
Kurtosis-2.1652723
Mean63.133333
Median Absolute Deviation (MAD)37.07
Skewness0.14376912
Sum568.2
Variance1817.8113
MonotonicityNot monotonic
2023-12-12T13:55:39.557785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
18.18 1
 
3.1%
14.71 1
 
3.1%
23.71 1
 
3.1%
35.26 1
 
3.1%
105.0 1
 
3.1%
51.78 1
 
3.1%
110.0 1
 
3.1%
117.0 1
 
3.1%
92.56 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
14.71 1
3.1%
18.18 1
3.1%
23.71 1
3.1%
35.26 1
3.1%
51.78 1
3.1%
92.56 1
3.1%
105.0 1
3.1%
110.0 1
3.1%
117.0 1
3.1%
ValueCountFrequency (%)
117.0 1
3.1%
110.0 1
3.1%
105.0 1
3.1%
92.56 1
3.1%
51.78 1
3.1%
35.26 1
3.1%
23.71 1
3.1%
18.18 1
3.1%
14.71 1
3.1%

이스라엘_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
521
 
1
664
 
1
306
 
1
923
 
1

Length

Max length4
Median length4
Mean length3.84375
Min length3

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
521 1
 
3.1%
664 1
 
3.1%
306 1
 
3.1%
923 1
 
3.1%
726 1
 
3.1%

Length

2023-12-12T13:55:39.701837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:39.829726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
521 1
 
3.1%
664 1
 
3.1%
306 1
 
3.1%
923 1
 
3.1%
726 1
 
3.1%

이스라엘_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
47250
 
1
41570
 
1
17005
 
1
54675
 
1

Length

Max length5
Median length4
Mean length4.15625
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
47250 1
 
3.1%
41570 1
 
3.1%
17005 1
 
3.1%
54675 1
 
3.1%
46895 1
 
3.1%

Length

2023-12-12T13:55:39.945615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:40.045266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
47250 1
 
3.1%
41570 1
 
3.1%
17005 1
 
3.1%
54675 1
 
3.1%
46895 1
 
3.1%

이스라엘_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
90.69
 
1
62.61
 
1
55.62
 
1
59.24
 
1

Length

Max length5
Median length4
Mean length4.15625
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
90.69 1
 
3.1%
62.61 1
 
3.1%
55.62 1
 
3.1%
59.24 1
 
3.1%
64.61 1
 
3.1%

Length

2023-12-12T13:55:40.152063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:40.255813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
90.69 1
 
3.1%
62.61 1
 
3.1%
55.62 1
 
3.1%
59.24 1
 
3.1%
64.61 1
 
3.1%

조지아_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
184.0
 
1
67.17
 
1
211.0
 
1
175.0
 
1

Length

Max length5
Median length4
Mean length4.125
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
184.0 1
 
3.1%
67.17 1
 
3.1%
211.0 1
 
3.1%
175.0 1
 
3.1%

Length

2023-12-12T13:55:40.368407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:40.468083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
184.0 1
 
3.1%
67.17 1
 
3.1%
211.0 1
 
3.1%
175.0 1
 
3.1%

조지아_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
5786
 
1
4739
 
1
23485
 
1
12602
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
5786 1
 
3.1%
4739 1
 
3.1%
23485 1
 
3.1%
12602 1
 
3.1%

Length

2023-12-12T13:55:40.609637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:40.707371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
5786 1
 
3.1%
4739 1
 
3.1%
23485 1
 
3.1%
12602 1
 
3.1%

조지아_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
31.46
 
1
70.56
 
1
111.0
 
1
71.93
 
1

Length

Max length5
Median length4
Mean length4.125
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
31.46 1
 
3.1%
70.56 1
 
3.1%
111.0 1
 
3.1%
71.93 1
 
3.1%

Length

2023-12-12T13:55:40.876090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:41.002763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
31.46 1
 
3.1%
70.56 1
 
3.1%
111.0 1
 
3.1%
71.93 1
 
3.1%

노르웨이_물량
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean866.47368
Minimum207
Maximum2041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:41.120867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207
5-th percentile208.8
Q1370
median791
Q31187
95-th percentile1910.5
Maximum2041
Range1834
Interquartile range (IQR)817

Descriptive statistics

Standard deviation559.66323
Coefficient of variation (CV)0.64590909
Kurtosis-0.3526793
Mean866.47368
Median Absolute Deviation (MAD)431
Skewness0.69429176
Sum16463
Variance313222.93
MonotonicityNot monotonic
2023-12-12T13:55:41.242196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
586 1
 
3.1%
1096 1
 
3.1%
1222 1
 
3.1%
516 1
 
3.1%
791 1
 
3.1%
1565 1
 
3.1%
958 1
 
3.1%
209 1
 
3.1%
778 1
 
3.1%
259 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
207 1
3.1%
209 1
3.1%
259 1
3.1%
327 1
3.1%
355 1
3.1%
385 1
3.1%
516 1
3.1%
586 1
3.1%
778 1
3.1%
791 1
3.1%
ValueCountFrequency (%)
2041 1
3.1%
1896 1
3.1%
1565 1
3.1%
1316 1
3.1%
1222 1
3.1%
1152 1
3.1%
1096 1
3.1%
958 1
3.1%
804 1
3.1%
791 1
3.1%

노르웨이_금액
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean56463.632
Minimum7268
Maximum199200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:41.354231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7268
5-th percentile7276.1
Q116330
median40571
Q381089
95-th percentile125782.5
Maximum199200
Range191932
Interquartile range (IQR)64759

Descriptive statistics

Standard deviation48949.467
Coefficient of variation (CV)0.86692027
Kurtosis2.6720621
Mean56463.632
Median Absolute Deviation (MAD)30669
Skewness1.4195745
Sum1072809
Variance2.3960503 × 109
MonotonicityNot monotonic
2023-12-12T13:55:41.466179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
17626 1
 
3.1%
94768 1
 
3.1%
80753 1
 
3.1%
31603 1
 
3.1%
57288 1
 
3.1%
73484 1
 
3.1%
40571 1
 
3.1%
9902 1
 
3.1%
65659 1
 
3.1%
7277 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
7268 1
3.1%
7277 1
3.1%
9902 1
3.1%
10129 1
3.1%
15034 1
3.1%
17626 1
3.1%
31603 1
3.1%
32554 1
3.1%
33850 1
3.1%
40571 1
3.1%
ValueCountFrequency (%)
199200 1
3.1%
117625 1
3.1%
96793 1
3.1%
94768 1
3.1%
81425 1
3.1%
80753 1
3.1%
73484 1
3.1%
65659 1
3.1%
57288 1
3.1%
40571 1
3.1%

노르웨이_단가
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing13
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean60.156842
Minimum20.46
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:41.575637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.46
5-th percentile25.725
Q142.24
median61.22
Q378.505
95-th percentile102.3
Maximum105
Range84.54
Interquartile range (IQR)36.265

Descriptive statistics

Standard deviation26.612641
Coefficient of variation (CV)0.44238759
Kurtosis-1.0384734
Mean60.156842
Median Absolute Deviation (MAD)19.09
Skewness0.27083414
Sum1142.98
Variance708.23265
MonotonicityNot monotonic
2023-12-12T13:55:41.726893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
30.1 1
 
3.1%
86.5 1
 
3.1%
66.11 1
 
3.1%
61.22 1
 
3.1%
72.47 1
 
3.1%
46.95 1
 
3.1%
42.35 1
 
3.1%
47.34 1
 
3.1%
84.41 1
 
3.1%
28.08 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 13
40.6%
ValueCountFrequency (%)
20.46 1
3.1%
26.31 1
3.1%
28.08 1
3.1%
30.1 1
3.1%
42.13 1
3.1%
42.35 1
3.1%
46.95 1
3.1%
47.34 1
3.1%
47.41 1
3.1%
61.22 1
3.1%
ValueCountFrequency (%)
105.0 1
3.1%
102.0 1
3.1%
99.67 1
3.1%
86.5 1
3.1%
84.41 1
3.1%
72.6 1
3.1%
72.47 1
3.1%
66.11 1
3.1%
61.87 1
3.1%
61.22 1
3.1%

독일_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
674
 
1
543
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row674
5th row543

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
674 1
 
3.1%
543 1
 
3.1%

Length

2023-12-12T13:55:41.843683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:41.958197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
674 1
 
3.1%
543 1
 
3.1%

독일_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
17540
 
1
15684
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row17540
5th row15684

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
17540 1
 
3.1%
15684 1
 
3.1%

Length

2023-12-12T13:55:42.052673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:42.148860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
17540 1
 
3.1%
15684 1
 
3.1%

독일_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
26.04
 
1
28.88
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row26.04
5th row28.88

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
26.04 1
 
3.1%
28.88 1
 
3.1%

Length

2023-12-12T13:55:42.241068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:42.332835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
26.04 1
 
3.1%
28.88 1
 
3.1%

덴마크_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
437
 
1
122
 
1
346
 
1
896
 
1

Length

Max length4
Median length4
Mean length3.875
Min length3

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
437 1
 
3.1%
122 1
 
3.1%
346 1
 
3.1%
896 1
 
3.1%
3007 1
 
3.1%

Length

2023-12-12T13:55:42.438543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:42.545834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
437 1
 
3.1%
122 1
 
3.1%
346 1
 
3.1%
896 1
 
3.1%
3007 1
 
3.1%

덴마크_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
10428
 
1
3093
 
1
22305
 
1
89103
 
1

Length

Max length6
Median length4
Mean length4.15625
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
10428 1
 
3.1%
3093 1
 
3.1%
22305 1
 
3.1%
89103 1
 
3.1%
295066 1
 
3.1%

Length

2023-12-12T13:55:42.671834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:42.803264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
10428 1
 
3.1%
3093 1
 
3.1%
22305 1
 
3.1%
89103 1
 
3.1%
295066 1
 
3.1%

덴마크_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
23.86
 
1
25.36
 
1
64.44
 
1
99.41
 
1

Length

Max length5
Median length4
Mean length4.15625
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
23.86 1
 
3.1%
25.36 1
 
3.1%
64.44 1
 
3.1%
99.41 1
 
3.1%
98.11 1
 
3.1%

Length

2023-12-12T13:55:42.940155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:43.062715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
23.86 1
 
3.1%
25.36 1
 
3.1%
64.44 1
 
3.1%
99.41 1
 
3.1%
98.11 1
 
3.1%

네덜란드_물량
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing6
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1246.3462
Minimum226
Maximum3668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:43.171540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum226
5-th percentile248
Q1558.75
median922
Q31523.75
95-th percentile3121
Maximum3668
Range3442
Interquartile range (IQR)965

Descriptive statistics

Standard deviation936.45566
Coefficient of variation (CV)0.75136081
Kurtosis0.93017996
Mean1246.3462
Median Absolute Deviation (MAD)472.5
Skewness1.2628649
Sum32405
Variance876949.2
MonotonicityNot monotonic
2023-12-12T13:55:43.313413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3132 1
 
3.1%
2074 1
 
3.1%
1109 1
 
3.1%
2380 1
 
3.1%
3668 1
 
3.1%
1451 1
 
3.1%
3088 1
 
3.1%
1761 1
 
3.1%
764 1
 
3.1%
935 1
 
3.1%
Other values (16) 16
50.0%
(Missing) 6
 
18.8%
ValueCountFrequency (%)
226 1
3.1%
240 1
3.1%
272 1
3.1%
436 1
3.1%
463 1
3.1%
551 1
3.1%
552 1
3.1%
579 1
3.1%
727 1
3.1%
764 1
3.1%
ValueCountFrequency (%)
3668 1
3.1%
3132 1
3.1%
3088 1
3.1%
2380 1
3.1%
2074 1
3.1%
1761 1
3.1%
1548 1
3.1%
1451 1
3.1%
1416 1
3.1%
1254 1
3.1%

네덜란드_금액
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing6
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean71583.885
Minimum6280
Maximum269967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:43.459929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6280
5-th percentile7068.25
Q113912
median54217.5
Q398319.75
95-th percentile166583.75
Maximum269967
Range263687
Interquartile range (IQR)84407.75

Descriptive statistics

Standard deviation68252.285
Coefficient of variation (CV)0.95345881
Kurtosis1.2164777
Mean71583.885
Median Absolute Deviation (MAD)40827
Skewness1.2015885
Sum1861181
Variance4.6583745 × 109
MonotonicityNot monotonic
2023-12-12T13:55:43.592052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
160128 1
 
3.1%
162224 1
 
3.1%
36916 1
 
3.1%
136207 1
 
3.1%
269967 1
 
3.1%
64545 1
 
3.1%
156409 1
 
3.1%
168037 1
 
3.1%
81736 1
 
3.1%
100875 1
 
3.1%
Other values (16) 16
50.0%
(Missing) 6
 
18.8%
ValueCountFrequency (%)
6280 1
3.1%
6926 1
3.1%
7495 1
3.1%
9404 1
3.1%
9812 1
3.1%
13061 1
3.1%
13720 1
3.1%
14488 1
3.1%
14576 1
3.1%
31379 1
3.1%
ValueCountFrequency (%)
269967 1
3.1%
168037 1
3.1%
162224 1
3.1%
160128 1
3.1%
156409 1
3.1%
136207 1
3.1%
100875 1
3.1%
90654 1
3.1%
88812 1
3.1%
81736 1
3.1%

네덜란드_단가
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing6
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean52.576538
Minimum14.67
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:43.699717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.67
5-th percentile16.1825
Q126.4775
median47.56
Q377.065
95-th percentile104.6825
Maximum108
Range93.33
Interquartile range (IQR)50.5875

Descriptive statistics

Standard deviation31.60043
Coefficient of variation (CV)0.60103671
Kurtosis-1.2573199
Mean52.576538
Median Absolute Deviation (MAD)25.07
Skewness0.45949554
Sum1366.99
Variance998.58715
MonotonicityNot monotonic
2023-12-12T13:55:43.809349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
51.12 1
 
3.1%
78.22 1
 
3.1%
33.3 1
 
3.1%
57.22 1
 
3.1%
73.6 1
 
3.1%
44.48 1
 
3.1%
50.64 1
 
3.1%
95.4 1
 
3.1%
107.0 1
 
3.1%
108.0 1
 
3.1%
Other values (16) 16
50.0%
(Missing) 6
 
18.8%
ValueCountFrequency (%)
14.67 1
3.1%
15.9 1
3.1%
17.03 1
3.1%
17.81 1
3.1%
22.15 1
3.1%
23.68 1
3.1%
26.13 1
3.1%
27.52 1
3.1%
27.92 1
3.1%
28.35 1
3.1%
ValueCountFrequency (%)
108.0 1
3.1%
107.0 1
3.1%
97.73 1
3.1%
97.32 1
3.1%
95.4 1
3.1%
84.05 1
3.1%
78.22 1
3.1%
73.6 1
3.1%
72.29 1
3.1%
63.99 1
3.1%

프랑스_물량
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean411
Minimum212
Maximum996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:43.932005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum212
5-th percentile218.75
Q1248
median295.5
Q3508.75
95-th percentile814.65
Maximum996
Range784
Interquartile range (IQR)260.75

Descriptive statistics

Standard deviation246.55899
Coefficient of variation (CV)0.59990021
Kurtosis2.9284062
Mean411
Median Absolute Deviation (MAD)76
Skewness1.6777586
Sum4110
Variance60791.333
MonotonicityNot monotonic
2023-12-12T13:55:44.068446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
248 2
 
6.2%
227 1
 
3.1%
212 1
 
3.1%
996 1
 
3.1%
520 1
 
3.1%
331 1
 
3.1%
260 1
 
3.1%
475 1
 
3.1%
593 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
212 1
3.1%
227 1
3.1%
248 2
6.2%
260 1
3.1%
331 1
3.1%
475 1
3.1%
520 1
3.1%
593 1
3.1%
996 1
3.1%
ValueCountFrequency (%)
996 1
3.1%
593 1
3.1%
520 1
3.1%
475 1
3.1%
331 1
3.1%
260 1
3.1%
248 2
6.2%
227 1
3.1%
212 1
3.1%

프랑스_금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean27433.1
Minimum5970
Maximum55908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:44.214157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5970
5-th percentile6429.9
Q118077
median25886
Q334489.75
95-th percentile52902
Maximum55908
Range49938
Interquartile range (IQR)16412.75

Descriptive statistics

Standard deviation16325.58
Coefficient of variation (CV)0.5951052
Kurtosis-0.36100636
Mean27433.1
Median Absolute Deviation (MAD)10418.5
Skewness0.45740268
Sum274331
Variance2.6652457 × 108
MonotonicityNot monotonic
2023-12-12T13:55:44.343493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6992 1
 
3.1%
5970 1
 
3.1%
36870 1
 
3.1%
24209 1
 
3.1%
25591 1
 
3.1%
27349 1
 
3.1%
49228 1
 
3.1%
55908 1
 
3.1%
26181 1
 
3.1%
16033 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
5970 1
3.1%
6992 1
3.1%
16033 1
3.1%
24209 1
3.1%
25591 1
3.1%
26181 1
3.1%
27349 1
3.1%
36870 1
3.1%
49228 1
3.1%
55908 1
3.1%
ValueCountFrequency (%)
55908 1
3.1%
49228 1
3.1%
36870 1
3.1%
27349 1
3.1%
26181 1
3.1%
25591 1
3.1%
24209 1
3.1%
16033 1
3.1%
6992 1
3.1%
5970 1
3.1%

프랑스_단가
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean69.393
Minimum28.17
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:44.462820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.17
5-th percentile29.349
Q139.415
median71.02
Q3101.5825
95-th percentile105.55
Maximum106
Range77.83
Interquartile range (IQR)62.1675

Descriptive statistics

Standard deviation32.098252
Coefficient of variation (CV)0.4625575
Kurtosis-1.9325151
Mean69.393
Median Absolute Deviation (MAD)33.48
Skewness-0.091542925
Sum693.93
Variance1030.2978
MonotonicityNot monotonic
2023-12-12T13:55:44.614809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
30.79 1
 
3.1%
28.17 1
 
3.1%
37.03 1
 
3.1%
46.57 1
 
3.1%
77.43 1
 
3.1%
105.0 1
 
3.1%
104.0 1
 
3.1%
94.33 1
 
3.1%
106.0 1
 
3.1%
64.61 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
28.17 1
3.1%
30.79 1
3.1%
37.03 1
3.1%
46.57 1
3.1%
64.61 1
3.1%
77.43 1
3.1%
94.33 1
3.1%
104.0 1
3.1%
105.0 1
3.1%
106.0 1
3.1%
ValueCountFrequency (%)
106.0 1
3.1%
105.0 1
3.1%
104.0 1
3.1%
94.33 1
3.1%
77.43 1
3.1%
64.61 1
3.1%
46.57 1
3.1%
37.03 1
3.1%
30.79 1
3.1%
28.17 1
3.1%

그리스_물량
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing11
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean3567.619
Minimum226
Maximum14468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:44.823903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum226
5-th percentile232
Q1577
median1881
Q35720
95-th percentile12539
Maximum14468
Range14242
Interquartile range (IQR)5143

Descriptive statistics

Standard deviation4173.3583
Coefficient of variation (CV)1.1697881
Kurtosis1.4835064
Mean3567.619
Median Absolute Deviation (MAD)1373
Skewness1.5175167
Sum74920
Variance17416920
MonotonicityNot monotonic
2023-12-12T13:55:44.993919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
226 1
 
3.1%
8571 1
 
3.1%
14468 1
 
3.1%
12539 1
 
3.1%
7432 1
 
3.1%
7184 1
 
3.1%
5720 1
 
3.1%
1922 1
 
3.1%
2826 1
 
3.1%
2805 1
 
3.1%
Other values (11) 11
34.4%
(Missing) 11
34.4%
ValueCountFrequency (%)
226 1
3.1%
232 1
3.1%
253 1
3.1%
280 1
3.1%
508 1
3.1%
577 1
3.1%
1025 1
3.1%
1165 1
3.1%
1320 1
3.1%
1869 1
3.1%
ValueCountFrequency (%)
14468 1
3.1%
12539 1
3.1%
8571 1
3.1%
7432 1
3.1%
7184 1
3.1%
5720 1
3.1%
2826 1
3.1%
2805 1
3.1%
2117 1
3.1%
1922 1
3.1%

그리스_금액
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing11
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean233107.67
Minimum3805
Maximum1043110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:45.132773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3805
5-th percentile6579
Q130081
median84873
Q3322526
95-th percentile711973
Maximum1043110
Range1039305
Interquartile range (IQR)292445

Descriptive statistics

Standard deviation283715.17
Coefficient of variation (CV)1.2170993
Kurtosis1.9927715
Mean233107.67
Median Absolute Deviation (MAD)81068
Skewness1.525287
Sum4895261
Variance8.0494297 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:45.290241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3805 1
 
3.1%
711973 1
 
3.1%
1043110 1
 
3.1%
591799 1
 
3.1%
442267 1
 
3.1%
522933 1
 
3.1%
322526 1
 
3.1%
84873 1
 
3.1%
171611 1
 
3.1%
320609 1
 
3.1%
Other values (11) 11
34.4%
(Missing) 11
34.4%
ValueCountFrequency (%)
3805 1
3.1%
6579 1
3.1%
12643 1
3.1%
14284 1
3.1%
21105 1
3.1%
30081 1
3.1%
32574 1
3.1%
45949 1
3.1%
54908 1
3.1%
58933 1
3.1%
ValueCountFrequency (%)
1043110 1
3.1%
711973 1
3.1%
591799 1
3.1%
522933 1
3.1%
442267 1
3.1%
322526 1
3.1%
320609 1
3.1%
220808 1
3.1%
181891 1
3.1%
171611 1
3.1%

그리스_단가
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing11
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean58.313333
Minimum16.83
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:45.408883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.83
5-th percentile18.11
Q141.59
median59.51
Q372.79
95-th percentile104
Maximum114
Range97.17
Interquartile range (IQR)31.2

Descriptive statistics

Standard deviation27.291475
Coefficient of variation (CV)0.46801432
Kurtosis-0.4831781
Mean58.313333
Median Absolute Deviation (MAD)17.92
Skewness0.35519649
Sum1224.58
Variance744.8246
MonotonicityNot monotonic
2023-12-12T13:55:45.530073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
16.83 1
 
3.1%
83.06 1
 
3.1%
72.1 1
 
3.1%
47.2 1
 
3.1%
59.51 1
 
3.1%
72.79 1
 
3.1%
56.39 1
 
3.1%
44.17 1
 
3.1%
60.73 1
 
3.1%
114.0 1
 
3.1%
Other values (11) 11
34.4%
(Missing) 11
34.4%
ValueCountFrequency (%)
16.83 1
3.1%
18.11 1
3.1%
26.01 1
3.1%
29.36 1
3.1%
31.54 1
3.1%
41.59 1
3.1%
44.17 1
3.1%
45.14 1
3.1%
47.2 1
3.1%
56.39 1
3.1%
ValueCountFrequency (%)
114.0 1
3.1%
104.0 1
3.1%
96.7 1
3.1%
83.06 1
3.1%
79.64 1
3.1%
72.79 1
3.1%
72.1 1
3.1%
64.09 1
3.1%
61.62 1
3.1%
60.73 1
3.1%

오스트리아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
531
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
531 1
 
3.1%

Length

2023-12-12T13:55:45.668740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:46.153516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
531 1
 
3.1%

오스트리아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
8114
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
8114 1
 
3.1%

Length

2023-12-12T13:55:46.247895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:46.342455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
8114 1
 
3.1%

오스트리아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
15.27
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
15.27 1
 
3.1%

Length

2023-12-12T13:55:46.442391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:46.539087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
15.27 1
 
3.1%

루마니아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
233
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
233 1
 
3.1%

Length

2023-12-12T13:55:46.663714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:46.754300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
233 1
 
3.1%

루마니아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
16391
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
16391 1
 
3.1%

Length

2023-12-12T13:55:46.861166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:46.976581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
16391 1
 
3.1%

루마니아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
70.38
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
70.38 1
 
3.1%

Length

2023-12-12T13:55:47.102962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:47.203900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
70.38 1
 
3.1%

이탈리아_물량
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean1297.6768
Minimum22.89
Maximum3886
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:47.290757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.89
5-th percentile156.6
Q1405.75
median832
Q31858.25
95-th percentile3854.75
Maximum3886
Range3863.11
Interquartile range (IQR)1452.5

Descriptive statistics

Standard deviation1217.4815
Coefficient of variation (CV)0.93820085
Kurtosis0.41099966
Mean1297.6768
Median Absolute Deviation (MAD)551
Skewness1.2006871
Sum28548.89
Variance1482261.2
MonotonicityNot monotonic
2023-12-12T13:55:47.480248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3736.0 1
 
3.1%
1835.0 1
 
3.1%
1443.0 1
 
3.1%
3886.0 1
 
3.1%
637.0 1
 
3.1%
588.0 1
 
3.1%
896.0 1
 
3.1%
1935.0 1
 
3.1%
3861.0 1
 
3.1%
2422.0 1
 
3.1%
Other values (12) 12
37.5%
(Missing) 10
31.2%
ValueCountFrequency (%)
22.89 1
3.1%
152.0 1
3.1%
244.0 1
3.1%
318.0 1
3.1%
366.0 1
3.1%
402.0 1
3.1%
417.0 1
3.1%
480.0 1
3.1%
588.0 1
3.1%
637.0 1
3.1%
ValueCountFrequency (%)
3886.0 1
3.1%
3861.0 1
3.1%
3736.0 1
3.1%
2422.0 1
3.1%
1935.0 1
3.1%
1866.0 1
3.1%
1835.0 1
3.1%
1443.0 1
3.1%
1300.0 1
3.1%
974.0 1
3.1%

이탈리아_금액
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean96884.364
Minimum391
Maximum394807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:47.615944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum391
5-th percentile4061.4
Q117821.75
median48372
Q3148446.5
95-th percentile249858.3
Maximum394807
Range394416
Interquartile range (IQR)130624.75

Descriptive statistics

Standard deviation103396.21
Coefficient of variation (CV)1.0672125
Kurtosis1.770299
Mean96884.364
Median Absolute Deviation (MAD)42421
Skewness1.3975144
Sum2131456
Variance1.0690776 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:47.761006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
394807 1
 
3.1%
149446 1
 
3.1%
100725 1
 
3.1%
186744 1
 
3.1%
40014 1
 
3.1%
40796 1
 
3.1%
48581 1
 
3.1%
89747 1
 
3.1%
225886 1
 
3.1%
251120 1
 
3.1%
Other values (12) 12
37.5%
(Missing) 10
31.2%
ValueCountFrequency (%)
391 1
3.1%
4017 1
3.1%
4905 1
3.1%
8920 1
3.1%
9377 1
3.1%
13259 1
3.1%
31510 1
3.1%
39403 1
3.1%
40014 1
3.1%
40796 1
3.1%
ValueCountFrequency (%)
394807 1
3.1%
251120 1
3.1%
225886 1
3.1%
216756 1
3.1%
186744 1
3.1%
149446 1
3.1%
145448 1
3.1%
100725 1
3.1%
89747 1
3.1%
81441 1
3.1%

이탈리아_단가
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean63.348182
Minimum15.44
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:47.896109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.44
5-th percentile17.516
Q139.055
median60.675
Q383.0575
95-th percentile111.7
Maximum116
Range100.56
Interquartile range (IQR)44.0025

Descriptive statistics

Standard deviation31.312428
Coefficient of variation (CV)0.49429086
Kurtosis-1.0548
Mean63.348182
Median Absolute Deviation (MAD)23.49
Skewness0.17375006
Sum1393.66
Variance980.46812
MonotonicityNot monotonic
2023-12-12T13:55:48.043800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
106.0 1
 
3.1%
81.46 1
 
3.1%
69.81 1
 
3.1%
48.06 1
 
3.1%
62.85 1
 
3.1%
69.4 1
 
3.1%
54.21 1
 
3.1%
46.39 1
 
3.1%
58.5 1
 
3.1%
104.0 1
 
3.1%
Other values (12) 12
37.5%
(Missing) 10
31.2%
ValueCountFrequency (%)
15.44 1
3.1%
17.09 1
3.1%
25.61 1
3.1%
26.37 1
3.1%
32.95 1
3.1%
36.61 1
3.1%
46.39 1
3.1%
48.06 1
3.1%
51.31 1
3.1%
54.21 1
3.1%
ValueCountFrequency (%)
116.0 1
3.1%
112.0 1
3.1%
106.0 1
3.1%
104.0 1
3.1%
100.41 1
3.1%
83.59 1
3.1%
81.46 1
3.1%
75.6 1
3.1%
69.81 1
3.1%
69.4 1
3.1%

영국_물량
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean705.5
Minimum110
Maximum1914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:48.188210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile148
Q1276.75
median337.5
Q31042.5
95-th percentile1753.5
Maximum1914
Range1804
Interquartile range (IQR)765.75

Descriptive statistics

Standard deviation721.67853
Coefficient of variation (CV)1.022932
Kurtosis0.040336198
Mean705.5
Median Absolute Deviation (MAD)151.5
Skewness1.2356318
Sum4233
Variance520819.9
MonotonicityNot monotonic
2023-12-12T13:55:48.295298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
321 1
 
3.1%
262 1
 
3.1%
354 1
 
3.1%
1914 1
 
3.1%
1272 1
 
3.1%
110 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
110 1
3.1%
262 1
3.1%
321 1
3.1%
354 1
3.1%
1272 1
3.1%
1914 1
3.1%
ValueCountFrequency (%)
1914 1
3.1%
1272 1
3.1%
354 1
3.1%
321 1
3.1%
262 1
3.1%
110 1
3.1%

영국_금액
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing26
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean62846.5
Minimum2735
Maximum194821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:48.410040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2735
5-th percentile3325.75
Q15648.75
median21634
Q3107359.5
95-th percentile178905
Maximum194821
Range192086
Interquartile range (IQR)101710.75

Descriptive statistics

Standard deviation81042.809
Coefficient of variation (CV)1.2895358
Kurtosis-0.41872105
Mean62846.5
Median Absolute Deviation (MAD)17717.5
Skewness1.1366906
Sum377079
Variance6.567937 × 109
MonotonicityNot monotonic
2023-12-12T13:55:48.536143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7301 1
 
3.1%
5098 1
 
3.1%
35967 1
 
3.1%
194821 1
 
3.1%
131157 1
 
3.1%
2735 1
 
3.1%
(Missing) 26
81.2%
ValueCountFrequency (%)
2735 1
3.1%
5098 1
3.1%
7301 1
3.1%
35967 1
3.1%
131157 1
3.1%
194821 1
3.1%
ValueCountFrequency (%)
194821 1
3.1%
131157 1
3.1%
35967 1
3.1%
7301 1
3.1%
5098 1
3.1%
2735 1
3.1%

영국_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
26 
102.0
 
2
22.73
 
1
19.45
 
1
103.0
 
1

Length

Max length5
Median length4
Mean length4.1875
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22.73
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
81.2%
102.0 2
 
6.2%
22.73 1
 
3.1%
19.45 1
 
3.1%
103.0 1
 
3.1%
24.88 1
 
3.1%

Length

2023-12-12T13:55:48.670016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:48.779029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
81.2%
102.0 2
 
6.2%
22.73 1
 
3.1%
19.45 1
 
3.1%
103.0 1
 
3.1%
24.88 1
 
3.1%

스페인_물량
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1643.5
Minimum105
Maximum5734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:48.887824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile171
Q1485.5
median1347
Q31914.5
95-th percentile4351.75
Maximum5734
Range5629
Interquartile range (IQR)1429

Descriptive statistics

Standard deviation1561.1422
Coefficient of variation (CV)0.94988877
Kurtosis1.8878442
Mean1643.5
Median Absolute Deviation (MAD)945
Skewness1.4310924
Sum26296
Variance2437164.9
MonotonicityNot monotonic
2023-12-12T13:55:49.005838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3891 1
 
3.1%
105 1
 
3.1%
1546 1
 
3.1%
1419 1
 
3.1%
987 1
 
3.1%
3125 1
 
3.1%
1365 1
 
3.1%
569 1
 
3.1%
193 1
 
3.1%
3020 1
 
3.1%
Other values (6) 6
 
18.8%
(Missing) 16
50.0%
ValueCountFrequency (%)
105 1
3.1%
193 1
3.1%
218 1
3.1%
235 1
3.1%
569 1
3.1%
987 1
3.1%
1044 1
3.1%
1329 1
3.1%
1365 1
3.1%
1419 1
3.1%
ValueCountFrequency (%)
5734 1
3.1%
3891 1
3.1%
3125 1
3.1%
3020 1
3.1%
1546 1
3.1%
1516 1
3.1%
1419 1
3.1%
1365 1
3.1%
1329 1
3.1%
1044 1
3.1%

스페인_금액
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean107270
Minimum6173
Maximum324673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:49.136220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6173
5-th percentile8067.5
Q115696
median69629
Q3155370.25
95-th percentile323138.5
Maximum324673
Range318500
Interquartile range (IQR)139674.25

Descriptive statistics

Standard deviation104611.55
Coefficient of variation (CV)0.97521725
Kurtosis0.42685605
Mean107270
Median Absolute Deviation (MAD)59267
Skewness1.1150171
Sum1716320
Variance1.0943577 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:49.241419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
155275 1
 
3.1%
11877 1
 
3.1%
109262 1
 
3.1%
65388 1
 
3.1%
51988 1
 
3.1%
211792 1
 
3.1%
73870 1
 
3.1%
9695 1
 
3.1%
6173 1
 
3.1%
322627 1
 
3.1%
Other values (6) 6
 
18.8%
(Missing) 16
50.0%
ValueCountFrequency (%)
6173 1
3.1%
8699 1
3.1%
9695 1
3.1%
11877 1
3.1%
16969 1
3.1%
51988 1
3.1%
64147 1
3.1%
65388 1
3.1%
73870 1
3.1%
109262 1
3.1%
ValueCountFrequency (%)
324673 1
3.1%
322627 1
3.1%
211792 1
3.1%
155656 1
3.1%
155275 1
3.1%
128229 1
3.1%
109262 1
3.1%
73870 1
3.1%
65388 1
3.1%
64147 1
3.1%

스페인_단가
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean65.193125
Minimum17.03
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:49.358058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.03
5-th percentile28.205
Q144.5375
median55.37
Q379.8475
95-th percentile115.5
Maximum123
Range105.97
Interquartile range (IQR)35.31

Descriptive statistics

Standard deviation31.19795
Coefficient of variation (CV)0.47854662
Kurtosis-0.64023559
Mean65.193125
Median Absolute Deviation (MAD)15.48
Skewness0.58553437
Sum1043.09
Variance973.31206
MonotonicityNot monotonic
2023-12-12T13:55:49.489012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
39.91 1
 
3.1%
113.0 1
 
3.1%
70.66 1
 
3.1%
46.08 1
 
3.1%
52.68 1
 
3.1%
67.78 1
 
3.1%
54.12 1
 
3.1%
17.03 1
 
3.1%
31.93 1
 
3.1%
107.0 1
 
3.1%
Other values (6) 6
 
18.8%
(Missing) 16
50.0%
ValueCountFrequency (%)
17.03 1
3.1%
31.93 1
3.1%
39.87 1
3.1%
39.91 1
3.1%
46.08 1
3.1%
48.28 1
3.1%
52.68 1
3.1%
54.12 1
3.1%
56.62 1
3.1%
67.78 1
3.1%
ValueCountFrequency (%)
123.0 1
3.1%
113.0 1
3.1%
107.0 1
3.1%
103.0 1
3.1%
72.13 1
3.1%
70.66 1
3.1%
67.78 1
3.1%
56.62 1
3.1%
54.12 1
3.1%
52.68 1
3.1%

불가리아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
249
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
249 1
 
3.1%

Length

2023-12-12T13:55:49.658556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:49.754531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
249 1
 
3.1%

불가리아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
13269
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
13269 1
 
3.1%

Length

2023-12-12T13:55:49.889269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:50.002791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
13269 1
 
3.1%

불가리아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
53.33
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
53.33 1
 
3.1%

Length

2023-12-12T13:55:50.122425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:50.237771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
53.33 1
 
3.1%

몰타_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean2058.0909
Minimum146
Maximum6344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:50.328587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum146
5-th percentile189.5
Q1614.5
median1106
Q33132.5
95-th percentile5688.5
Maximum6344
Range6198
Interquartile range (IQR)2518

Descriptive statistics

Standard deviation2090.5522
Coefficient of variation (CV)1.0157725
Kurtosis0.21568798
Mean2058.0909
Median Absolute Deviation (MAD)873
Skewness1.1457297
Sum22639
Variance4370408.5
MonotonicityNot monotonic
2023-12-12T13:55:50.455007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1106 1
 
3.1%
233 1
 
3.1%
785 1
 
3.1%
146 1
 
3.1%
1498 1
 
3.1%
751 1
 
3.1%
3400 1
 
3.1%
6344 1
 
3.1%
5033 1
 
3.1%
2865 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
146 1
3.1%
233 1
3.1%
478 1
3.1%
751 1
3.1%
785 1
3.1%
1106 1
3.1%
1498 1
3.1%
2865 1
3.1%
3400 1
3.1%
5033 1
3.1%
ValueCountFrequency (%)
6344 1
3.1%
5033 1
3.1%
3400 1
3.1%
2865 1
3.1%
1498 1
3.1%
1106 1
3.1%
785 1
3.1%
751 1
3.1%
478 1
3.1%
233 1
3.1%

몰타_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean189051
Minimum7098
Maximum690831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:50.558531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7098
5-th percentile7144
Q124471.5
median85021
Q3272856.5
95-th percentile602816.5
Maximum690831
Range683733
Interquartile range (IQR)248385

Descriptive statistics

Standard deviation233899.06
Coefficient of variation (CV)1.2372273
Kurtosis0.7355326
Mean189051
Median Absolute Deviation (MAD)77831
Skewness1.3670459
Sum2079561
Variance5.4708772 × 1010
MonotonicityNot monotonic
2023-12-12T13:55:50.661442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
25862 1
 
3.1%
7098 1
 
3.1%
59060 1
 
3.1%
7190 1
 
3.1%
120903 1
 
3.1%
85021 1
 
3.1%
378741 1
 
3.1%
690831 1
 
3.1%
514802 1
 
3.1%
166972 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
7098 1
3.1%
7190 1
3.1%
23081 1
3.1%
25862 1
3.1%
59060 1
3.1%
85021 1
3.1%
120903 1
3.1%
166972 1
3.1%
378741 1
3.1%
514802 1
3.1%
ValueCountFrequency (%)
690831 1
3.1%
514802 1
3.1%
378741 1
3.1%
166972 1
3.1%
120903 1
3.1%
85021 1
3.1%
59060 1
3.1%
25862 1
3.1%
23081 1
3.1%
7190 1
3.1%

몰타_단가
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Infinite0
Infinite (%)0.0%
Mean72.776364
Minimum23.38
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:50.778301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.38
5-th percentile26.92
Q148.73
median75.25
Q3105.5
95-th percentile112
Maximum113
Range89.62
Interquartile range (IQR)56.77

Descriptive statistics

Standard deviation33.033168
Coefficient of variation (CV)0.45389967
Kurtosis-1.5365455
Mean72.776364
Median Absolute Deviation (MAD)26.97
Skewness-0.11276753
Sum800.54
Variance1091.1902
MonotonicityNot monotonic
2023-12-12T13:55:50.880080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
23.38 1
 
3.1%
30.46 1
 
3.1%
75.25 1
 
3.1%
49.18 1
 
3.1%
80.71 1
 
3.1%
113.0 1
 
3.1%
111.0 1
 
3.1%
109.0 1
 
3.1%
102.0 1
 
3.1%
58.28 1
 
3.1%
(Missing) 21
65.6%
ValueCountFrequency (%)
23.38 1
3.1%
30.46 1
3.1%
48.28 1
3.1%
49.18 1
3.1%
58.28 1
3.1%
75.25 1
3.1%
80.71 1
3.1%
102.0 1
3.1%
109.0 1
3.1%
111.0 1
3.1%
ValueCountFrequency (%)
113.0 1
3.1%
111.0 1
3.1%
109.0 1
3.1%
102.0 1
3.1%
80.71 1
3.1%
75.25 1
3.1%
58.28 1
3.1%
49.18 1
3.1%
48.28 1
3.1%
30.46 1
3.1%

벨기에_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
188.0
 
1
6.87
 
1
135.0
 
1
0.74
 
1

Length

Max length6
Median length4
Mean length4.125
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
188.0 1
 
3.1%
6.87 1
 
3.1%
135.0 1
 
3.1%
0.74 1
 
3.1%
4131.0 1
 
3.1%

Length

2023-12-12T13:55:51.021652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:51.168376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
188.0 1
 
3.1%
6.87 1
 
3.1%
135.0 1
 
3.1%
0.74 1
 
3.1%
4131.0 1
 
3.1%

벨기에_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
3228
 
1
116
 
1
6830
 
1
140
 
1

Length

Max length6
Median length4
Mean length4
Min length3

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
3228 1
 
3.1%
116 1
 
3.1%
6830 1
 
3.1%
140 1
 
3.1%
341785 1
 
3.1%

Length

2023-12-12T13:55:51.306304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:51.423406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
3228 1
 
3.1%
116 1
 
3.1%
6830 1
 
3.1%
140 1
 
3.1%
341785 1
 
3.1%

벨기에_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
17.14
 
1
16.92
 
1
50.5
 
1
188.0
 
1

Length

Max length5
Median length4
Mean length4.125
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
17.14 1
 
3.1%
16.92 1
 
3.1%
50.5 1
 
3.1%
188.0 1
 
3.1%
82.74 1
 
3.1%

Length

2023-12-12T13:55:51.544710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:51.663227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
17.14 1
 
3.1%
16.92 1
 
3.1%
50.5 1
 
3.1%
188.0 1
 
3.1%
82.74 1
 
3.1%

에스토니아_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
767
 
1
233
 
1
842
 
1
4223
 
1

Length

Max length4
Median length4
Mean length3.90625
Min length3

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
767 1
 
3.1%
233 1
 
3.1%
842 1
 
3.1%
4223 1
 
3.1%

Length

2023-12-12T13:55:51.782082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:51.896525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
767 1
 
3.1%
233 1
 
3.1%
842 1
 
3.1%
4223 1
 
3.1%

에스토니아_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
45943
 
1
19807
 
1
84496
 
1
418421
 
1

Length

Max length6
Median length4
Mean length4.15625
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
45943 1
 
3.1%
19807 1
 
3.1%
84496 1
 
3.1%
418421 1
 
3.1%

Length

2023-12-12T13:55:52.048193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:52.165261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
45943 1
 
3.1%
19807 1
 
3.1%
84496 1
 
3.1%
418421 1
 
3.1%

에스토니아_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
28 
59.88
 
1
85.18
 
1
100.41
 
1
99.08
 
1

Length

Max length6
Median length4
Mean length4.15625
Min length4

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
87.5%
59.88 1
 
3.1%
85.18 1
 
3.1%
100.41 1
 
3.1%
99.08 1
 
3.1%

Length

2023-12-12T13:55:52.315828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:52.451399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
87.5%
59.88 1
 
3.1%
85.18 1
 
3.1%
100.41 1
 
3.1%
99.08 1
 
3.1%

라트비아_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
663
 
1
137
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
663 1
 
3.1%
137 1
 
3.1%

Length

2023-12-12T13:55:52.597834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:52.709952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
663 1
 
3.1%
137 1
 
3.1%

라트비아_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
42451
 
1
16762
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
42451 1
 
3.1%
16762 1
 
3.1%

Length

2023-12-12T13:55:52.840472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:52.972880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
42451 1
 
3.1%
16762 1
 
3.1%

라트비아_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
30 
64.02
 
1
122.0
 
1

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
93.8%
64.02 1
 
3.1%
122.0 1
 
3.1%

Length

2023-12-12T13:55:53.100936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:53.266240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
93.8%
64.02 1
 
3.1%
122.0 1
 
3.1%

리투아니아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
115
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
115 1
 
3.1%

Length

2023-12-12T13:55:53.391979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:53.525697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
115 1
 
3.1%

리투아니아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
5936
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
5936 1
 
3.1%

Length

2023-12-12T13:55:53.636132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:53.753879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
5936 1
 
3.1%

리투아니아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
51.49
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
51.49 1
 
3.1%

Length

2023-12-12T13:55:53.868999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:54.004663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
51.49 1
 
3.1%

우크라이나_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
510
 
1
266
 
1
331
 
1
218
 
1

Length

Max length4
Median length4
Mean length3.875
Min length3

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
510 1
 
3.1%
266 1
 
3.1%
331 1
 
3.1%
218 1
 
3.1%
1264 1
 
3.1%

Length

2023-12-12T13:55:54.164848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:54.322182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
510 1
 
3.1%
266 1
 
3.1%
331 1
 
3.1%
218 1
 
3.1%
1264 1
 
3.1%

우크라이나_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
17171
 
1
12503
 
1
19890
 
1
21972
 
1

Length

Max length6
Median length4
Mean length4.1875
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
17171 1
 
3.1%
12503 1
 
3.1%
19890 1
 
3.1%
21972 1
 
3.1%
137174 1
 
3.1%

Length

2023-12-12T13:55:54.471746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:55.015275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
17171 1
 
3.1%
12503 1
 
3.1%
19890 1
 
3.1%
21972 1
 
3.1%
137174 1
 
3.1%

우크라이나_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
33.66
 
1
46.98
 
1
60.02
 
1
100.66
 
1

Length

Max length6
Median length4
Mean length4.1875
Min length4

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
33.66 1
 
3.1%
46.98 1
 
3.1%
60.02 1
 
3.1%
100.66 1
 
3.1%
109.0 1
 
3.1%

Length

2023-12-12T13:55:55.175853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:55.298195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
33.66 1
 
3.1%
46.98 1
 
3.1%
60.02 1
 
3.1%
100.66 1
 
3.1%
109.0 1
 
3.1%

키프로스_물량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean3568.25
Minimum215
Maximum14440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:55.424180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum215
5-th percentile240.85
Q1453.5
median1587
Q33868.5
95-th percentile13596.3
Maximum14440
Range14225
Interquartile range (IQR)3415

Descriptive statistics

Standard deviation4896.6009
Coefficient of variation (CV)1.3722696
Kurtosis2.0211029
Mean3568.25
Median Absolute Deviation (MAD)1245
Skewness1.7923319
Sum42819
Variance23976700
MonotonicityNot monotonic
2023-12-12T13:55:55.545171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
422 1
 
3.1%
3918 1
 
3.1%
3852 1
 
3.1%
12906 1
 
3.1%
14440 1
 
3.1%
1871 1
 
3.1%
2106 1
 
3.1%
1060 1
 
3.1%
262 1
 
3.1%
464 1
 
3.1%
Other values (2) 2
 
6.2%
(Missing) 20
62.5%
ValueCountFrequency (%)
215 1
3.1%
262 1
3.1%
422 1
3.1%
464 1
3.1%
1060 1
3.1%
1303 1
3.1%
1871 1
3.1%
2106 1
3.1%
3852 1
3.1%
3918 1
3.1%
ValueCountFrequency (%)
14440 1
3.1%
12906 1
3.1%
3918 1
3.1%
3852 1
3.1%
2106 1
3.1%
1871 1
3.1%
1303 1
3.1%
1060 1
3.1%
464 1
3.1%
422 1
3.1%

키프로스_금액
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean343209.25
Minimum13043
Maximum1524378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:55.664712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13043
5-th percentile13697.5
Q132746
median90930
Q3349108
95-th percentile1420356.5
Maximum1524378
Range1511335
Interquartile range (IQR)316362

Descriptive statistics

Standard deviation525194.42
Coefficient of variation (CV)1.5302455
Kurtosis2.1281129
Mean343209.25
Median Absolute Deviation (MAD)77292
Skewness1.8291877
Sum4118511
Variance2.7582917 × 1011
MonotonicityNot monotonic
2023-12-12T13:55:55.801989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
19942 1
 
3.1%
328612 1
 
3.1%
410596 1
 
3.1%
1335248 1
 
3.1%
1524378 1
 
3.1%
203238 1
 
3.1%
121947 1
 
3.1%
50347 1
 
3.1%
14233 1
 
3.1%
37014 1
 
3.1%
Other values (2) 2
 
6.2%
(Missing) 20
62.5%
ValueCountFrequency (%)
13043 1
3.1%
14233 1
3.1%
19942 1
3.1%
37014 1
3.1%
50347 1
3.1%
59913 1
3.1%
121947 1
3.1%
203238 1
3.1%
328612 1
3.1%
410596 1
3.1%
ValueCountFrequency (%)
1524378 1
3.1%
1335248 1
3.1%
410596 1
3.1%
328612 1
3.1%
203238 1
3.1%
121947 1
3.1%
59913 1
3.1%
50347 1
3.1%
37014 1
3.1%
19942 1
3.1%

키프로스_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing20
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean75.185833
Minimum46
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:55.937615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile46.6765
Q152.6725
median70.165
Q3103.75
95-th percentile107.9
Maximum109
Range63
Interquartile range (IQR)51.0775

Descriptive statistics

Standard deviation25.792233
Coefficient of variation (CV)0.34304645
Kurtosis-1.8671981
Mean75.185833
Median Absolute Deviation (MAD)22.805
Skewness0.2365617
Sum902.23
Variance665.23928
MonotonicityNot monotonic
2023-12-12T13:55:56.071000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
47.23 1
 
3.1%
83.87 1
 
3.1%
107.0 1
 
3.1%
103.0 1
 
3.1%
106.0 1
 
3.1%
109.0 1
 
3.1%
57.91 1
 
3.1%
47.49 1
 
3.1%
54.4 1
 
3.1%
79.71 1
 
3.1%
Other values (2) 2
 
6.2%
(Missing) 20
62.5%
ValueCountFrequency (%)
46.0 1
3.1%
47.23 1
3.1%
47.49 1
3.1%
54.4 1
3.1%
57.91 1
3.1%
60.62 1
3.1%
79.71 1
3.1%
83.87 1
3.1%
103.0 1
3.1%
106.0 1
3.1%
ValueCountFrequency (%)
109.0 1
3.1%
107.0 1
3.1%
106.0 1
3.1%
103.0 1
3.1%
83.87 1
3.1%
79.71 1
3.1%
60.62 1
3.1%
57.91 1
3.1%
54.4 1
3.1%
47.49 1
3.1%

지브롤터_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
483
 
1

Length

Max length4
Median length4
Mean length3.96875
Min length3

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
483 1
 
3.1%

Length

2023-12-12T13:55:56.242207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:56.371210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
483 1
 
3.1%

지브롤터_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
37930
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
37930 1
 
3.1%

Length

2023-12-12T13:55:56.520252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:56.666626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
37930 1
 
3.1%

지브롤터_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
78.61
 
1

Length

Max length5
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
78.61 1
 
3.1%

Length

2023-12-12T13:55:56.846492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:55:57.008172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
78.61 1
 
3.1%

합계_물량
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean253781.66
Minimum137009.76
Maximum392321.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:57.118173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137009.76
5-th percentile171827.7
Q1193333.15
median224614
Q3320554.6
95-th percentile359608.47
Maximum392321.05
Range255311.29
Interquartile range (IQR)127221.46

Descriptive statistics

Standard deviation71535.178
Coefficient of variation (CV)0.28187686
Kurtosis-1.2722805
Mean253781.66
Median Absolute Deviation (MAD)48718.2
Skewness0.33734038
Sum7867231.5
Variance5.1172816 × 109
MonotonicityNot monotonic
2023-12-12T13:55:57.272094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
137009.76 1
 
3.1%
167759.59 1
 
3.1%
367070.95 1
 
3.1%
392321.05 1
 
3.1%
347376.0 1
 
3.1%
352146.0 1
 
3.1%
341627.96 1
 
3.1%
314487.21 1
 
3.1%
334609.0 1
 
3.1%
307872.0 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
137009.76 1
3.1%
167759.59 1
3.1%
175895.8 1
3.1%
179352.43 1
3.1%
184492.0 1
3.1%
185810.52 1
3.1%
190792.0 1
3.1%
191558.26 1
3.1%
195108.03 1
3.1%
204301.0 1
3.1%
ValueCountFrequency (%)
392321.05 1
3.1%
367070.95 1
3.1%
352146.0 1
3.1%
347376.0 1
3.1%
341627.96 1
3.1%
334609.0 1
3.1%
329205.38 1
3.1%
326622.0 1
3.1%
314487.21 1
3.1%
309955.77 1
3.1%

합계_금액
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean13888407
Minimum2581787
Maximum32376497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:57.410856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2581787
5-th percentile2924846
Q15170160.5
median13396514
Q320855512
95-th percentile31285082
Maximum32376497
Range29794710
Interquartile range (IQR)15685352

Descriptive statistics

Standard deviation9891174.4
Coefficient of variation (CV)0.71218928
Kurtosis-0.98196003
Mean13888407
Median Absolute Deviation (MAD)7919293
Skewness0.57113052
Sum4.3054061 × 108
Variance9.7835331 × 1013
MonotonicityNot monotonic
2023-12-12T13:55:57.584232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2581787 1
 
3.1%
2989233 1
 
3.1%
30348271 1
 
3.1%
26268457 1
 
3.1%
14624350 1
 
3.1%
18884666 1
 
3.1%
22334709 1
 
3.1%
16110166 1
 
3.1%
13396514 1
 
3.1%
15966566 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
2581787 1
3.1%
2860459 1
3.1%
2989233 1
3.1%
3152057 1
3.1%
3491787 1
3.1%
3998700 1
3.1%
4324911 1
3.1%
4863100 1
3.1%
5477221 1
3.1%
5690371 1
3.1%
ValueCountFrequency (%)
32376497 1
3.1%
31422678 1
3.1%
31147487 1
3.1%
30348271 1
3.1%
27077867 1
3.1%
26268457 1
3.1%
22334709 1
3.1%
20880135 1
3.1%
20830889 1
3.1%
18884666 1
3.1%

합계_단가
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean49.984839
Minimum16.26
Maximum100.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T13:55:57.720761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.26
5-th percentile17.17
Q124.09
median49.04
Q367.315
95-th percentile97.655
Maximum100.49
Range84.23
Interquartile range (IQR)43.225

Descriptive statistics

Standard deviation28.053917
Coefficient of variation (CV)0.56124853
Kurtosis-1.0223924
Mean49.984839
Median Absolute Deviation (MAD)24.14
Skewness0.49147296
Sum1549.53
Variance787.02226
MonotonicityNot monotonic
2023-12-12T13:55:57.855238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
18.84 1
 
3.1%
17.82 1
 
3.1%
82.68 1
 
3.1%
66.96 1
 
3.1%
42.1 1
 
3.1%
53.63 1
 
3.1%
65.38 1
 
3.1%
51.23 1
 
3.1%
40.04 1
 
3.1%
51.86 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
16.26 1
3.1%
16.52 1
3.1%
17.82 1
3.1%
18.84 1
3.1%
18.93 1
3.1%
19.47 1
3.1%
22.61 1
3.1%
23.28 1
3.1%
24.9 1
3.1%
26.75 1
3.1%
ValueCountFrequency (%)
100.49 1
3.1%
98.35 1
3.1%
96.96 1
3.1%
96.21 1
3.1%
92.74 1
3.1%
82.68 1
3.1%
75.42 1
3.1%
67.67 1
3.1%
66.96 1
3.1%
65.38 1
3.1%

Sample

대만_물량대만_금액대만_단가일본_물량일본_금액일본_단가중국_물량중국_금액중국_단가필리핀_물량필리핀_금액필리핀_단가태국_물량태국_금액태국_단가말레이시아_물량말레이시아_금액말레이시아_단가싱가폴_물량싱가폴_금액싱가폴_단가인도네시아_물량인도네시아_금액인도네시아_단가방글라데시_물량방글라데시_금액방글라데시_단가인도_물량인도_금액인도_단가파키스탄_물량파키스탄_금액파키스탄_단가스리랑카_물량스리랑카_금액스리랑카_단가홍콩[중]_물량홍콩[중]_금액홍콩[중]_단가브루나이_물량브루나이_금액브루나이_단가괌[미]_물량괌[미]_금액괌[미]_단가호주_물량호주_금액호주_단가뉴질랜드_물량뉴질랜드_금액뉴질랜드_단가북한_물량북한_금액북한_단가베트남_물량베트남_금액베트남_단가미얀마_물량미얀마_금액미얀마_단가파푸아뉴기니_물량파푸아뉴기니_금액파푸아뉴기니_단가러시아_물량러시아_금액러시아_단가동티모르_물량동티모르_금액동티모르_단가튀니지_물량튀니지_금액튀니지_단가알제리_물량알제리_금액알제리_단가모리셔스_물량모리셔스_금액모리셔스_단가이집트_물량이집트_금액이집트_단가리비아_물량리비아_금액리비아_단가카메룬_물량카메룬_금액카메룬_단가앙골라_물량앙골라_금액앙골라_단가콩고_물량콩고_금액콩고_단가나이지리아_물량나이지리아_금액나이지리아_단가남아프리카공화국_물량남아프리카공화국_금액남아프리카공화국_단가수단_물량수단_금액수단_단가가나_물량가나_금액가나_단가모로코_물량모로코_금액모로코_단가적도기니_물량적도기니_금액적도기니_단가모잠비크_물량모잠비크_금액모잠비크_단가캐나다_물량캐나다_금액캐나다_단가미국_물량미국_금액미국_단가멕시코_물량멕시코_금액멕시코_단가베네수엘라_물량베네수엘라_금액베네수엘라_단가브라질_물량브라질_금액브라질_단가페루_물량페루_금액페루_단가아르헨티나_물량아르헨티나_금액아르헨티나_단가칠레_물량칠레_금액칠레_단가파나마_물량파나마_금액파나마_단가볼리비아_물량볼리비아_금액볼리비아_단가쿠바_물량쿠바_금액쿠바_단가안틸리스_물량안틸리스_금액안틸리스_단가콜롬비아_물량콜롬비아_금액콜롬비아_단가푸에르토리코_물량푸에르토리코_금액푸에르토리코_단가아루바_물량아루바_금액아루바_단가이란_물량이란_금액이란_단가이라크_물량이라크_금액이라크_단가쿠웨이트_물량쿠웨이트_금액쿠웨이트_단가바레인_물량바레인_금액바레인_단가카타르_물량카타르_금액카타르_단가아랍에미레이트_물량아랍에미레이트_금액아랍에미레이트_단가사우디아라비아_물량사우디아라비아_금액사우디아라비아_단가예멘_물량예멘_금액예멘_단가오만_물량오만_금액오만_단가중립지대_물량중립지대_금액중립지대_단가시리아_물량시리아_금액시리아_단가터키_물량터키_금액터키_단가이스라엘_물량이스라엘_금액이스라엘_단가조지아_물량조지아_금액조지아_단가노르웨이_물량노르웨이_금액노르웨이_단가독일_물량독일_금액독일_단가덴마크_물량덴마크_금액덴마크_단가네덜란드_물량네덜란드_금액네덜란드_단가프랑스_물량프랑스_금액프랑스_단가그리스_물량그리스_금액그리스_단가오스트리아_물량오스트리아_금액오스트리아_단가루마니아_물량루마니아_금액루마니아_단가이탈리아_물량이탈리아_금액이탈리아_단가영국_물량영국_금액영국_단가스페인_물량스페인_금액스페인_단가불가리아_물량불가리아_금액불가리아_단가몰타_물량몰타_금액몰타_단가벨기에_물량벨기에_금액벨기에_단가에스토니아_물량에스토니아_금액에스토니아_단가라트비아_물량라트비아_금액라트비아_단가리투아니아_물량리투아니아_금액리투아니아_단가우크라이나_물량우크라이나_금액우크라이나_단가키프로스_물량키프로스_금액키프로스_단가지브롤터_물량지브롤터_금액지브롤터_단가합계_물량합계_금액합계_단가
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