Overview

Dataset statistics

Number of variables358
Number of observations31
Missing cells2796
Missing cells (%)25.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.7 KiB
Average record size in memory3.2 KiB

Variable types

Numeric205
Categorical153

Dataset

Description석유제품의 국가별 수출량(대만,일본,중국,필리핀,태국,말레이시아,싱가폴,인도네시아,방글라데시,인도,파키스탄,홍콩,괌,호주,뉴질랜드,베트남,피지,타히티,뉴칼레도니아,동티모르,미크로네시아,이집트,앙골라,케냐,남아프리카공화국,캐나다,미국,브라질,에콰도르,아르헨티나,칠레,이란,아랍에미레이트,사우디아라비아,터키,네덜란드,벨기에) 단위 : 물량(천Bbl), 금액(천$)
URLhttps://www.data.go.kr/data/15054610/fileData.do

Alerts

브루나이_물량 is highly imbalanced (60.9%)Imbalance
브루나이_금액 is highly imbalanced (60.9%)Imbalance
브루나이_단가 is highly imbalanced (60.9%)Imbalance
카자흐스탄_물량 is highly imbalanced (79.4%)Imbalance
카자흐스탄_금액 is highly imbalanced (79.4%)Imbalance
카자흐스탄_단가 is highly imbalanced (79.4%)Imbalance
우즈베키스탄_물량 is highly imbalanced (65.5%)Imbalance
우즈베키스탄_금액 is highly imbalanced (74.2%)Imbalance
우즈베키스탄_단가 is highly imbalanced (74.2%)Imbalance
디에고가르시아(영)_물량 is highly imbalanced (69.4%)Imbalance
디에고가르시아(영)_금액 is highly imbalanced (69.4%)Imbalance
디에고가르시아(영)_단가 is highly imbalanced (69.4%)Imbalance
마셜제도공화국_물량 is highly imbalanced (60.9%)Imbalance
마셜제도공화국_금액 is highly imbalanced (60.9%)Imbalance
마셜제도공화국_단가 is highly imbalanced (60.9%)Imbalance
나우르_물량 is highly imbalanced (79.4%)Imbalance
나우르_금액 is highly imbalanced (79.4%)Imbalance
나우르_단가 is highly imbalanced (79.4%)Imbalance
마카오_물량 is highly imbalanced (79.4%)Imbalance
마카오_금액 is highly imbalanced (79.4%)Imbalance
마카오_단가 is highly imbalanced (79.4%)Imbalance
몽골_물량 is highly imbalanced (65.0%)Imbalance
몽골_금액 is highly imbalanced (65.0%)Imbalance
몽골_단가 is highly imbalanced (65.0%)Imbalance
아시아(기타)_물량 is highly imbalanced (79.4%)Imbalance
아시아(기타)_금액 is highly imbalanced (79.4%)Imbalance
아시아(기타)_단가 is highly imbalanced (79.4%)Imbalance
몰디브_물량 is highly imbalanced (74.2%)Imbalance
몰디브_금액 is highly imbalanced (74.2%)Imbalance
몰디브_단가 is highly imbalanced (74.2%)Imbalance
캄보디아_물량 is highly imbalanced (65.0%)Imbalance
캄보디아_금액 is highly imbalanced (65.0%)Imbalance
캄보디아_단가 is highly imbalanced (65.0%)Imbalance
튀니지_물량 is highly imbalanced (74.2%)Imbalance
튀니지_금액 is highly imbalanced (74.2%)Imbalance
튀니지_단가 is highly imbalanced (74.2%)Imbalance
알제리_물량 is highly imbalanced (74.2%)Imbalance
알제리_금액 is highly imbalanced (74.2%)Imbalance
알제리_단가 is highly imbalanced (74.2%)Imbalance
모리셔스_물량 is highly imbalanced (79.4%)Imbalance
모리셔스_금액 is highly imbalanced (79.4%)Imbalance
모리셔스_단가 is highly imbalanced (79.4%)Imbalance
에티오피아_물량 is highly imbalanced (79.4%)Imbalance
에티오피아_금액 is highly imbalanced (79.4%)Imbalance
에티오피아_단가 is highly imbalanced (79.4%)Imbalance
카메룬_물량 is highly imbalanced (69.4%)Imbalance
카메룬_금액 is highly imbalanced (69.4%)Imbalance
카메룬_단가 is highly imbalanced (69.4%)Imbalance
모잠비크_물량 is highly imbalanced (74.2%)Imbalance
모잠비크_금액 is highly imbalanced (74.2%)Imbalance
모잠비크_단가 is highly imbalanced (74.2%)Imbalance
수단_물량 is highly imbalanced (69.4%)Imbalance
수단_금액 is highly imbalanced (69.4%)Imbalance
수단_단가 is highly imbalanced (69.4%)Imbalance
가나_물량 is highly imbalanced (60.9%)Imbalance
가나_금액 is highly imbalanced (60.9%)Imbalance
가나_단가 is highly imbalanced (60.9%)Imbalance
마다가스카르_물량 is highly imbalanced (65.0%)Imbalance
마다가스카르_금액 is highly imbalanced (65.0%)Imbalance
마다가스카르_단가 is highly imbalanced (65.0%)Imbalance
세네갈_물량 is highly imbalanced (69.4%)Imbalance
세네갈_금액 is highly imbalanced (69.4%)Imbalance
세네갈_단가 is highly imbalanced (69.4%)Imbalance
시에라리온_물량 is highly imbalanced (79.4%)Imbalance
시에라리온_금액 is highly imbalanced (79.4%)Imbalance
시에라리온_단가 is highly imbalanced (79.4%)Imbalance
모잠비크_물량.1 is highly imbalanced (69.4%)Imbalance
모잠비크_금액.1 is highly imbalanced (69.4%)Imbalance
모잠비크_단가.1 is highly imbalanced (69.4%)Imbalance
토고_물량 is highly imbalanced (60.9%)Imbalance
토고_금액 is highly imbalanced (60.9%)Imbalance
토고_단가 is highly imbalanced (60.9%)Imbalance
지부티_물량 is highly imbalanced (79.4%)Imbalance
지부티_금액 is highly imbalanced (79.4%)Imbalance
지부티_단가 is highly imbalanced (79.4%)Imbalance
베네수엘라_물량 is highly imbalanced (79.4%)Imbalance
베네수엘라_금액 is highly imbalanced (79.4%)Imbalance
베네수엘라_단가 is highly imbalanced (79.4%)Imbalance
푸에르토리코_물량 is highly imbalanced (69.4%)Imbalance
푸에르토리코_금액 is highly imbalanced (69.4%)Imbalance
푸에르토리코_단가 is highly imbalanced (69.4%)Imbalance
아루바_물량 is highly imbalanced (79.4%)Imbalance
아루바_금액 is highly imbalanced (79.4%)Imbalance
아루바_단가 is highly imbalanced (79.4%)Imbalance
바하마_물량 is highly imbalanced (79.4%)Imbalance
바하마_금액 is highly imbalanced (79.4%)Imbalance
바하마_단가 is highly imbalanced (79.4%)Imbalance
트리니다드토바고_물량 is highly imbalanced (65.0%)Imbalance
트리니다드토바고_금액 is highly imbalanced (65.0%)Imbalance
트리니다드토바고_단가 is highly imbalanced (65.0%)Imbalance
엘살바도르_물량 is highly imbalanced (79.4%)Imbalance
엘살바도르_금액 is highly imbalanced (79.4%)Imbalance
엘살바도르_단가 is highly imbalanced (79.4%)Imbalance
도미니카공화국_물량 is highly imbalanced (74.2%)Imbalance
도미니카공화국_금액 is highly imbalanced (74.2%)Imbalance
도미니카공화국_단가 is highly imbalanced (74.2%)Imbalance
안틸리스_물량 is highly imbalanced (74.2%)Imbalance
안틸리스_금액 is highly imbalanced (74.2%)Imbalance
안틸리스_단가 is highly imbalanced (74.2%)Imbalance
파라과이_물량 is highly imbalanced (79.4%)Imbalance
파라과이_금액 is highly imbalanced (79.4%)Imbalance
파라과이_단가 is highly imbalanced (79.4%)Imbalance
이라크_물량 is highly imbalanced (65.0%)Imbalance
이라크_금액 is highly imbalanced (65.0%)Imbalance
이라크_단가 is highly imbalanced (65.0%)Imbalance
오만_물량 is highly imbalanced (74.2%)Imbalance
오만_금액 is highly imbalanced (74.2%)Imbalance
오만_단가 is highly imbalanced (74.2%)Imbalance
중립지대_물량 is highly imbalanced (74.2%)Imbalance
중립지대_금액 is highly imbalanced (74.2%)Imbalance
중립지대_단가 is highly imbalanced (74.2%)Imbalance
아제르바이잔_물량 is highly imbalanced (79.4%)Imbalance
아제르바이잔_금액 is highly imbalanced (79.4%)Imbalance
아제르바이잔_단가 is highly imbalanced (79.4%)Imbalance
요르단_물량 is highly imbalanced (69.4%)Imbalance
요르단_금액 is highly imbalanced (69.4%)Imbalance
요르단_단가 is highly imbalanced (69.4%)Imbalance
조지아_물량 is highly imbalanced (60.9%)Imbalance
조지아_금액 is highly imbalanced (60.9%)Imbalance
조지아_단가 is highly imbalanced (60.9%)Imbalance
레바논_물량 is highly imbalanced (69.4%)Imbalance
레바논_금액 is highly imbalanced (69.4%)Imbalance
레바논_단가 is highly imbalanced (69.4%)Imbalance
노르웨이_물량 is highly imbalanced (60.9%)Imbalance
노르웨이_금액 is highly imbalanced (60.9%)Imbalance
노르웨이_단가 is highly imbalanced (60.9%)Imbalance
루마니아_물량 is highly imbalanced (79.4%)Imbalance
루마니아_금액 is highly imbalanced (79.4%)Imbalance
루마니아_단가 is highly imbalanced (79.4%)Imbalance
오스트리아_물량 is highly imbalanced (60.9%)Imbalance
오스트리아_금액 is highly imbalanced (60.9%)Imbalance
오스트리아_단가 is highly imbalanced (60.9%)Imbalance
핀란드_물량 is highly imbalanced (69.4%)Imbalance
핀란드_금액 is highly imbalanced (69.4%)Imbalance
핀란드_단가 is highly imbalanced (69.4%)Imbalance
우크라이나_물량 is highly imbalanced (74.2%)Imbalance
우크라이나_금액 is highly imbalanced (74.2%)Imbalance
우크라이나_단가 is highly imbalanced (74.2%)Imbalance
슬로베니아_물량 is highly imbalanced (74.2%)Imbalance
슬로베니아_금액 is highly imbalanced (74.2%)Imbalance
슬로베니아_단가 is highly imbalanced (74.2%)Imbalance
키프로스_물량 is highly imbalanced (79.4%)Imbalance
키프로스_금액 is highly imbalanced (79.4%)Imbalance
키프로스_단가 is highly imbalanced (79.4%)Imbalance
세르비아_물량 is highly imbalanced (79.4%)Imbalance
세르비아_금액 is highly imbalanced (79.4%)Imbalance
세르비아_단가 is highly imbalanced (79.4%)Imbalance
스위스_물량 is highly imbalanced (65.0%)Imbalance
스위스_금액 is highly imbalanced (65.0%)Imbalance
스위스_단가 is highly imbalanced (65.0%)Imbalance
라트비아_물량 is highly imbalanced (74.2%)Imbalance
라트비아_금액 is highly imbalanced (74.2%)Imbalance
라트비아_단가 is highly imbalanced (74.2%)Imbalance
말레이시아_물량 has 1 (3.2%) missing valuesMissing
말레이시아_금액 has 1 (3.2%) missing valuesMissing
말레이시아_단가 has 1 (3.2%) missing valuesMissing
인도네시아_물량 has 3 (9.7%) missing valuesMissing
인도네시아_금액 has 3 (9.7%) missing valuesMissing
인도네시아_단가 has 3 (9.7%) missing valuesMissing
방글라데시_물량 has 15 (48.4%) missing valuesMissing
방글라데시_금액 has 15 (48.4%) missing valuesMissing
방글라데시_단가 has 15 (48.4%) missing valuesMissing
인도_물량 has 5 (16.1%) missing valuesMissing
인도_금액 has 5 (16.1%) missing valuesMissing
인도_단가 has 5 (16.1%) missing valuesMissing
파키스탄_물량 has 14 (45.2%) missing valuesMissing
파키스탄_금액 has 14 (45.2%) missing valuesMissing
파키스탄_단가 has 14 (45.2%) missing valuesMissing
스리랑카_물량 has 16 (51.6%) missing valuesMissing
스리랑카_금액 has 16 (51.6%) missing valuesMissing
스리랑카_단가 has 16 (51.6%) missing valuesMissing
뉴질랜드_물량 has 6 (19.4%) missing valuesMissing
뉴질랜드_금액 has 6 (19.4%) missing valuesMissing
뉴질랜드_단가 has 6 (19.4%) missing valuesMissing
북한_물량 has 9 (29.0%) missing valuesMissing
북한_금액 has 9 (29.0%) missing valuesMissing
북한_단가 has 9 (29.0%) missing valuesMissing
미얀마_물량 has 17 (54.8%) missing valuesMissing
미얀마_금액 has 17 (54.8%) missing valuesMissing
미얀마_단가 has 17 (54.8%) missing valuesMissing
파푸아뉴기니_물량 has 20 (64.5%) missing valuesMissing
파푸아뉴기니_금액 has 20 (64.5%) missing valuesMissing
파푸아뉴기니_단가 has 20 (64.5%) missing valuesMissing
피지_물량 has 14 (45.2%) missing valuesMissing
피지_금액 has 14 (45.2%) missing valuesMissing
피지_단가 has 14 (45.2%) missing valuesMissing
러시아_물량 has 5 (16.1%) missing valuesMissing
러시아_금액 has 5 (16.1%) missing valuesMissing
러시아_단가 has 5 (16.1%) missing valuesMissing
사모아_물량 has 19 (61.3%) missing valuesMissing
사모아_금액 has 19 (61.3%) missing valuesMissing
사모아_단가 has 19 (61.3%) missing valuesMissing
타히티(프)_물량 has 17 (54.8%) missing valuesMissing
타히티(프)_금액 has 17 (54.8%) missing valuesMissing
타히티(프)_단가 has 17 (54.8%) missing valuesMissing
뉴칼레도니아_물량 has 20 (64.5%) missing valuesMissing
뉴칼레도니아_금액 has 20 (64.5%) missing valuesMissing
뉴칼레도니아_단가 has 20 (64.5%) missing valuesMissing
동티모르_물량 has 24 (77.4%) missing valuesMissing
동티모르_금액 has 24 (77.4%) missing valuesMissing
동티모르_단가 has 24 (77.4%) missing valuesMissing
미크로네시아_물량 has 23 (74.2%) missing valuesMissing
미크로네시아_금액 has 23 (74.2%) missing valuesMissing
미크로네시아_단가 has 23 (74.2%) missing valuesMissing
팔라우_물량 has 24 (77.4%) missing valuesMissing
팔라우_금액 has 24 (77.4%) missing valuesMissing
팔라우_단가 has 24 (77.4%) missing valuesMissing
솔로몬제도_물량 has 24 (77.4%) missing valuesMissing
솔로몬제도_금액 has 24 (77.4%) missing valuesMissing
솔로몬제도_단가 has 24 (77.4%) missing valuesMissing
이집트_물량 has 19 (61.3%) missing valuesMissing
이집트_금액 has 19 (61.3%) missing valuesMissing
이집트_단가 has 19 (61.3%) missing valuesMissing
앙골라_물량 has 19 (61.3%) missing valuesMissing
앙골라_금액 has 19 (61.3%) missing valuesMissing
앙골라_단가 has 19 (61.3%) missing valuesMissing
케냐_물량 has 18 (58.1%) missing valuesMissing
케냐_금액 has 18 (58.1%) missing valuesMissing
케냐_단가 has 18 (58.1%) missing valuesMissing
나이지리아_물량 has 18 (58.1%) missing valuesMissing
나이지리아_금액 has 18 (58.1%) missing valuesMissing
나이지리아_단가 has 18 (58.1%) missing valuesMissing
남아프리카공화국_물량 has 9 (29.0%) missing valuesMissing
남아프리카공화국_금액 has 9 (29.0%) missing valuesMissing
남아프리카공화국_단가 has 9 (29.0%) missing valuesMissing
모로코_물량 has 23 (74.2%) missing valuesMissing
모로코_금액 has 23 (74.2%) missing valuesMissing
모로코_단가 has 23 (74.2%) missing valuesMissing
탄자니아_물량 has 21 (67.7%) missing valuesMissing
탄자니아_금액 has 21 (67.7%) missing valuesMissing
탄자니아_단가 has 21 (67.7%) missing valuesMissing
캐나다_물량 has 18 (58.1%) missing valuesMissing
캐나다_금액 has 18 (58.1%) missing valuesMissing
캐나다_단가 has 18 (58.1%) missing valuesMissing
멕시코_물량 has 16 (51.6%) missing valuesMissing
멕시코_금액 has 16 (51.6%) missing valuesMissing
멕시코_단가 has 16 (51.6%) missing valuesMissing
브라질_물량 has 13 (41.9%) missing valuesMissing
브라질_금액 has 13 (41.9%) missing valuesMissing
브라질_단가 has 13 (41.9%) missing valuesMissing
에콰도르_물량 has 15 (48.4%) missing valuesMissing
에콰도르_금액 has 15 (48.4%) missing valuesMissing
에콰도르_단가 has 15 (48.4%) missing valuesMissing
페루_물량 has 11 (35.5%) missing valuesMissing
페루_금액 has 11 (35.5%) missing valuesMissing
페루_단가 has 11 (35.5%) missing valuesMissing
아르헨티나_물량 has 23 (74.2%) missing valuesMissing
아르헨티나_금액 has 23 (74.2%) missing valuesMissing
아르헨티나_단가 has 23 (74.2%) missing valuesMissing
콜롬비아_물량 has 23 (74.2%) missing valuesMissing
콜롬비아_금액 has 23 (74.2%) missing valuesMissing
콜롬비아_단가 has 23 (74.2%) missing valuesMissing
칠레_물량 has 6 (19.4%) missing valuesMissing
칠레_금액 has 6 (19.4%) missing valuesMissing
칠레_단가 has 6 (19.4%) missing valuesMissing
파나마_물량 has 14 (45.2%) missing valuesMissing
파나마_금액 has 14 (45.2%) missing valuesMissing
파나마_단가 has 14 (45.2%) missing valuesMissing
과테말라_물량 has 23 (74.2%) missing valuesMissing
과테말라_금액 has 23 (74.2%) missing valuesMissing
과테말라_단가 has 23 (74.2%) missing valuesMissing
이란_물량 has 25 (80.6%) missing valuesMissing
이란_금액 has 25 (80.6%) missing valuesMissing
이란_단가 has 25 (80.6%) missing valuesMissing
쿠웨이트_물량 has 25 (80.6%) missing valuesMissing
쿠웨이트_금액 has 25 (80.6%) missing valuesMissing
쿠웨이트_단가 has 25 (80.6%) missing valuesMissing
카타르_물량 has 17 (54.8%) missing valuesMissing
카타르_금액 has 17 (54.8%) missing valuesMissing
카타르_단가 has 17 (54.8%) missing valuesMissing
아랍에미레이트_물량 has 8 (25.8%) missing valuesMissing
아랍에미레이트_금액 has 8 (25.8%) missing valuesMissing
아랍에미레이트_단가 has 8 (25.8%) missing valuesMissing
사우디아라비아_물량 has 10 (32.3%) missing valuesMissing
사우디아라비아_금액 has 10 (32.3%) missing valuesMissing
사우디아라비아_단가 has 10 (32.3%) missing valuesMissing
예멘_물량 has 25 (80.6%) missing valuesMissing
예멘_금액 has 25 (80.6%) missing valuesMissing
예멘_단가 has 25 (80.6%) missing valuesMissing
튀르기예_물량 has 18 (58.1%) missing valuesMissing
튀르기예_금액 has 18 (58.1%) missing valuesMissing
튀르기예_단가 has 18 (58.1%) missing valuesMissing
이스라엘_물량 has 23 (74.2%) missing valuesMissing
이스라엘_금액 has 23 (74.2%) missing valuesMissing
이스라엘_단가 has 23 (74.2%) missing valuesMissing
덴마크_물량 has 23 (74.2%) missing valuesMissing
덴마크_금액 has 23 (74.2%) missing valuesMissing
덴마크_단가 has 23 (74.2%) missing valuesMissing
네덜란드_물량 has 6 (19.4%) missing valuesMissing
네덜란드_금액 has 6 (19.4%) missing valuesMissing
네덜란드_단가 has 6 (19.4%) missing valuesMissing
프랑스_물량 has 12 (38.7%) missing valuesMissing
프랑스_금액 has 12 (38.7%) missing valuesMissing
프랑스_단가 has 12 (38.7%) missing valuesMissing
그리스_물량 has 20 (64.5%) missing valuesMissing
그리스_금액 has 20 (64.5%) missing valuesMissing
그리스_단가 has 20 (64.5%) missing valuesMissing
독일_물량 has 20 (64.5%) missing valuesMissing
독일_금액 has 20 (64.5%) missing valuesMissing
독일_단가 has 20 (64.5%) missing valuesMissing
이탈리아_물량 has 23 (74.2%) missing valuesMissing
이탈리아_금액 has 23 (74.2%) missing valuesMissing
이탈리아_단가 has 23 (74.2%) missing valuesMissing
영국_물량 has 13 (41.9%) missing valuesMissing
영국_금액 has 13 (41.9%) missing valuesMissing
영국_단가 has 13 (41.9%) missing valuesMissing
스페인_물량 has 17 (54.8%) missing valuesMissing
스페인_금액 has 17 (54.8%) missing valuesMissing
스페인_단가 has 17 (54.8%) missing valuesMissing
몰타_물량 has 23 (74.2%) missing valuesMissing
몰타_금액 has 23 (74.2%) missing valuesMissing
몰타_단가 has 23 (74.2%) missing valuesMissing
벨기에_물량 has 12 (38.7%) missing valuesMissing
벨기에_금액 has 12 (38.7%) missing valuesMissing
벨기에_단가 has 12 (38.7%) missing valuesMissing
불가리아_물량 has 23 (74.2%) missing valuesMissing
불가리아_금액 has 23 (74.2%) missing valuesMissing
불가리아_단가 has 23 (74.2%) missing valuesMissing
헝가리_물량 has 24 (77.4%) missing valuesMissing
헝가리_금액 has 24 (77.4%) missing valuesMissing
헝가리_단가 has 24 (77.4%) missing valuesMissing
has unique valuesUnique
대만_물량 has unique valuesUnique
대만_금액 has unique valuesUnique
일본_물량 has unique valuesUnique
일본_금액 has unique valuesUnique
일본_단가 has unique valuesUnique
중국_물량 has unique valuesUnique
중국_금액 has unique valuesUnique
중국_단가 has unique valuesUnique
필리핀_물량 has unique valuesUnique
필리핀_금액 has unique valuesUnique
필리핀_단가 has unique valuesUnique
태국_물량 has unique valuesUnique
태국_금액 has unique valuesUnique
싱가폴_물량 has unique valuesUnique
싱가폴_금액 has unique valuesUnique
홍콩(중)_물량 has unique valuesUnique
홍콩(중)_금액 has unique valuesUnique
홍콩(중)_단가 has unique valuesUnique
괌(미)_물량 has unique valuesUnique
괌(미)_금액 has unique valuesUnique
괌(미)_단가 has unique valuesUnique
호주_물량 has unique valuesUnique
호주_금액 has unique valuesUnique
베트남_물량 has unique valuesUnique
베트남_금액 has unique valuesUnique
미국_물량 has unique valuesUnique
미국_금액 has unique valuesUnique
미국_단가 has unique valuesUnique
합계_물량 has unique valuesUnique
합계_금액 has unique valuesUnique
합계_단가 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:13:48.898276
Analysis finished2023-12-12 10:13:52.714279
Duration3.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007
Minimum1992
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:52.793939image/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
2023-12-12T19:13:52.949950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1992 1
 
3.2%
1993 1
 
3.2%
2022 1
 
3.2%
2021 1
 
3.2%
2020 1
 
3.2%
2019 1
 
3.2%
2018 1
 
3.2%
2017 1
 
3.2%
2016 1
 
3.2%
2015 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1992 1
3.2%
1993 1
3.2%
1994 1
3.2%
1995 1
3.2%
1996 1
3.2%
1997 1
3.2%
1998 1
3.2%
1999 1
3.2%
2000 1
3.2%
2001 1
3.2%
ValueCountFrequency (%)
2022 1
3.2%
2021 1
3.2%
2020 1
3.2%
2019 1
3.2%
2018 1
3.2%
2017 1
3.2%
2016 1
3.2%
2015 1
3.2%
2014 1
3.2%
2013 1
3.2%

대만_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13101.382
Minimum42.85
Maximum59531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:53.110107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.85
5-th percentile1115
Q12412.5
median6420
Q318009.5
95-th percentile40407
Maximum59531
Range59488.15
Interquartile range (IQR)15597

Descriptive statistics

Standard deviation14481.29
Coefficient of variation (CV)1.1053254
Kurtosis2.4052214
Mean13101.382
Median Absolute Deviation (MAD)5255
Skewness1.5708526
Sum406142.85
Variance2.0970777 × 108
MonotonicityNot monotonic
2023-12-12T19:13:53.251971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
42.85 1
 
3.2%
1065.0 1
 
3.2%
6420.0 1
 
3.2%
17967.0 1
 
3.2%
30383.0 1
 
3.2%
39514.0 1
 
3.2%
59531.0 1
 
3.2%
41300.0 1
 
3.2%
31240.0 1
 
3.2%
18052.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
42.85 1
3.2%
1065.0 1
3.2%
1165.0 1
3.2%
1326.0 1
3.2%
1516.0 1
3.2%
2001.0 1
3.2%
2050.0 1
3.2%
2362.0 1
3.2%
2463.0 1
3.2%
2483.0 1
3.2%
ValueCountFrequency (%)
59531.0 1
3.2%
41300.0 1
3.2%
39514.0 1
3.2%
31240.0 1
3.2%
30383.0 1
3.2%
21937.0 1
3.2%
19136.0 1
3.2%
18052.0 1
3.2%
17967.0 1
3.2%
17792.0 1
3.2%

대만_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean888586.61
Minimum905
Maximum5108297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:53.402239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum905
5-th percentile29882
Q1129870
median238095
Q31389589.5
95-th percentile2748161
Maximum5108297
Range5107392
Interquartile range (IQR)1259719.5

Descriptive statistics

Standard deviation1184134
Coefficient of variation (CV)1.332604
Kurtosis4.1552096
Mean888586.61
Median Absolute Deviation (MAD)184826
Skewness1.9109379
Sum27546185
Variance1.4021734 × 1012
MonotonicityNot monotonic
2023-12-12T19:13:53.551074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
905 1
 
3.2%
15961 1
 
3.2%
727237 1
 
3.2%
1408794 1
 
3.2%
1329311 1
 
3.2%
2885333 1
 
3.2%
5108297 1
 
3.2%
2610989 1
 
3.2%
1573299 1
 
3.2%
1057166 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
905 1
3.2%
15961 1
3.2%
43803 1
3.2%
57776 1
3.2%
61496 1
3.2%
66288 1
3.2%
118216 1
3.2%
121424 1
3.2%
138316 1
3.2%
143878 1
3.2%
ValueCountFrequency (%)
5108297 1
3.2%
2885333 1
3.2%
2610989 1
3.2%
2609245 1
3.2%
2253291 1
3.2%
1737214 1
3.2%
1573299 1
3.2%
1408794 1
3.2%
1370385 1
3.2%
1329311 1
3.2%

대만_단가
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.766774
Minimum14.99
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:53.724775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.99
5-th percentile16.42
Q125.535
median58.56
Q390.855
95-th percentile123
Maximum127
Range112.01
Interquartile range (IQR)65.32

Descriptive statistics

Standard deviation37.29549
Coefficient of variation (CV)0.61374806
Kurtosis-1.2146795
Mean60.766774
Median Absolute Deviation (MAD)36.2
Skewness0.36657972
Sum1883.77
Variance1390.9536
MonotonicityNot monotonic
2023-12-12T19:13:53.859626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
127.0 2
 
6.5%
21.11 1
 
3.2%
101.0 1
 
3.2%
113.0 1
 
3.2%
78.41 1
 
3.2%
43.75 1
 
3.2%
73.02 1
 
3.2%
85.81 1
 
3.2%
63.22 1
 
3.2%
50.36 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
14.99 1
3.2%
15.52 1
3.2%
17.32 1
3.2%
17.78 1
3.2%
19.33 1
3.2%
20.02 1
3.2%
21.11 1
3.2%
22.36 1
3.2%
28.71 1
3.2%
28.96 1
3.2%
ValueCountFrequency (%)
127.0 2
6.5%
119.0 1
3.2%
113.0 1
3.2%
109.0 1
3.2%
104.0 1
3.2%
101.0 1
3.2%
95.9 1
3.2%
85.81 1
3.2%
78.41 1
3.2%
76.93 1
3.2%

일본_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59542.839
Minimum20774
Maximum113244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:53.994578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20774
5-th percentile24623.5
Q144718.5
median59689
Q369023.5
95-th percentile102031
Maximum113244
Range92470
Interquartile range (IQR)24305

Descriptive statistics

Standard deviation22617.579
Coefficient of variation (CV)0.3798539
Kurtosis0.40175258
Mean59542.839
Median Absolute Deviation (MAD)13181
Skewness0.50644859
Sum1845828
Variance5.1155489 × 108
MonotonicityNot monotonic
2023-12-12T19:13:54.146032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
25984 1
 
3.2%
20774 1
 
3.2%
47127 1
 
3.2%
58655 1
 
3.2%
56138 1
 
3.2%
59689 1
 
3.2%
63222 1
 
3.2%
46508 1
 
3.2%
44158 1
 
3.2%
57206 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
20774 1
3.2%
23263 1
3.2%
25984 1
3.2%
30398 1
3.2%
35807 1
3.2%
40607 1
3.2%
44102 1
3.2%
44158 1
3.2%
45279 1
3.2%
46508 1
3.2%
ValueCountFrequency (%)
113244 1
3.2%
110121 1
3.2%
93941 1
3.2%
88945 1
3.2%
81439 1
3.2%
73512 1
3.2%
70952 1
3.2%
70344 1
3.2%
67703 1
3.2%
66583 1
3.2%

일본_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3280891.5
Minimum386065
Maximum7468863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:54.297166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum386065
5-th percentile493686
Q11974161.5
median3259173
Q34060707
95-th percentile7384818.5
Maximum7468863
Range7082798
Interquartile range (IQR)2086545.5

Descriptive statistics

Standard deviation1953955
Coefficient of variation (CV)0.59555612
Kurtosis0.10411124
Mean3280891.5
Median Absolute Deviation (MAD)1240902
Skewness0.664515
Sum1.0170764 × 108
Variance3.8179401 × 1012
MonotonicityNot monotonic
2023-12-12T19:13:54.463040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
560400 1
 
3.2%
386065 1
 
3.2%
5084872 1
 
3.2%
4477401 1
 
3.2%
2662971 1
 
3.2%
4034366 1
 
3.2%
4780385 1
 
3.2%
2763574 1
 
3.2%
2018271 1
 
3.2%
3259173 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
386065 1
3.2%
426972 1
3.2%
560400 1
3.2%
878441 1
3.2%
1139202 1
3.2%
1637472 1
3.2%
1674515 1
3.2%
1970658 1
3.2%
1977665 1
3.2%
2018271 1
3.2%
ValueCountFrequency (%)
7468863 1
3.2%
7407512 1
3.2%
7362125 1
3.2%
6119703 1
3.2%
5084872 1
3.2%
4780385 1
3.2%
4477401 1
3.2%
4087048 1
3.2%
4034366 1
3.2%
3775756 1
3.2%

일본_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.126452
Minimum16.19
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:54.606416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.19
5-th percentile18.465
Q125.675
median56.97
Q378.61
95-th percentile113
Maximum116
Range99.81
Interquartile range (IQR)52.935

Descriptive statistics

Standard deviation33.221845
Coefficient of variation (CV)0.58154925
Kurtosis-1.1211395
Mean57.126452
Median Absolute Deviation (MAD)29.53
Skewness0.43134987
Sum1770.92
Variance1103.691
MonotonicityNot monotonic
2023-12-12T19:13:54.753896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21.57 1
 
3.2%
18.58 1
 
3.2%
108.0 1
 
3.2%
76.33 1
 
3.2%
47.44 1
 
3.2%
67.59 1
 
3.2%
75.61 1
 
3.2%
59.42 1
 
3.2%
45.71 1
 
3.2%
56.97 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
16.19 1
3.2%
18.35 1
3.2%
18.58 1
3.2%
19.92 1
3.2%
21.05 1
3.2%
21.57 1
3.2%
23.6 1
3.2%
24.19 1
3.2%
27.16 1
3.2%
27.44 1
3.2%
ValueCountFrequency (%)
116.0 1
3.2%
114.0 1
3.2%
112.0 1
3.2%
108.0 1
3.2%
105.0 1
3.2%
102.0 1
3.2%
82.83 1
3.2%
80.89 1
3.2%
76.33 1
3.2%
75.61 1
3.2%

중국_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71534.581
Minimum6488
Maximum131074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:54.932813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6488
5-th percentile16036
Q163838
median73728
Q389000.5
95-th percentile108972
Maximum131074
Range124586
Interquartile range (IQR)25162.5

Descriptive statistics

Standard deviation28748.099
Coefficient of variation (CV)0.40187694
Kurtosis0.40317894
Mean71534.581
Median Absolute Deviation (MAD)13323
Skewness-0.60289829
Sum2217572
Variance8.2645318 × 108
MonotonicityNot monotonic
2023-12-12T19:13:55.167853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
6488 1
 
3.2%
17158 1
 
3.2%
52758 1
 
3.2%
94991 1
 
3.2%
131074 1
 
3.2%
105065 1
 
3.2%
112879 1
 
3.2%
99174 1
 
3.2%
91644 1
 
3.2%
72338 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
6488 1
3.2%
14914 1
3.2%
17158 1
3.2%
23533 1
3.2%
36789 1
3.2%
47052 1
3.2%
52758 1
3.2%
60405 1
3.2%
67271 1
3.2%
69770 1
3.2%
ValueCountFrequency (%)
131074 1
3.2%
112879 1
3.2%
105065 1
3.2%
99174 1
3.2%
94991 1
3.2%
93596 1
3.2%
91910 1
3.2%
91644 1
3.2%
86357 1
3.2%
85088 1
3.2%

중국_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4169947.8
Minimum125196
Maximum10266516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:55.344662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125196
5-th percentile273748
Q11497525.5
median4109207
Q36701007
95-th percentile9108351
Maximum10266516
Range10141320
Interquartile range (IQR)5203481.5

Descriptive statistics

Standard deviation3032675.3
Coefficient of variation (CV)0.72726936
Kurtosis-1.0750315
Mean4169947.8
Median Absolute Deviation (MAD)2724179
Skewness0.32285103
Sum1.2926838 × 108
Variance9.1971194 × 1012
MonotonicityNot monotonic
2023-12-12T19:13:55.543919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
125196 1
 
3.2%
303690 1
 
3.2%
4901850 1
 
3.2%
7052547 1
 
3.2%
6522330 1
 
3.2%
7276188 1
 
3.2%
8616667 1
 
3.2%
5783852 1
 
3.2%
4005950 1
 
3.2%
4109207 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
125196 1
3.2%
243806 1
3.2%
303690 1
3.2%
435490 1
3.2%
782468 1
3.2%
1139792 1
3.2%
1256297 1
3.2%
1385028 1
3.2%
1610023 1
3.2%
1701655 1
3.2%
ValueCountFrequency (%)
10266516 1
3.2%
9600035 1
3.2%
8616667 1
3.2%
8244290 1
3.2%
7276188 1
3.2%
7052547 1
3.2%
6905333 1
3.2%
6879684 1
3.2%
6522330 1
3.2%
6330071 1
3.2%

중국_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.106129
Minimum13.42
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:55.696758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.42
5-th percentile16.315
Q121.69
median49.76
Q375.29
95-th percentile110
Maximum114
Range100.58
Interquartile range (IQR)53.6

Descriptive statistics

Standard deviation32.533299
Coefficient of variation (CV)0.61260911
Kurtosis-1.0826801
Mean53.106129
Median Absolute Deviation (MAD)27.65
Skewness0.45158591
Sum1646.29
Variance1058.4155
MonotonicityNot monotonic
2023-12-12T19:13:55.866389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19.3 1
 
3.2%
17.7 1
 
3.2%
92.91 1
 
3.2%
74.24 1
 
3.2%
49.76 1
 
3.2%
69.25 1
 
3.2%
76.34 1
 
3.2%
58.32 1
 
3.2%
43.71 1
 
3.2%
56.81 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
13.42 1
3.2%
16.28 1
3.2%
16.35 1
3.2%
17.7 1
3.2%
18.51 1
3.2%
19.3 1
3.2%
20.31 1
3.2%
21.27 1
3.2%
22.11 1
3.2%
24.22 1
3.2%
ValueCountFrequency (%)
114.0 1
3.2%
112.0 1
3.2%
108.0 1
3.2%
98.97 1
3.2%
95.43 1
3.2%
92.91 1
3.2%
82.49 1
3.2%
76.34 1
3.2%
74.24 1
3.2%
69.25 1
3.2%

필리핀_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11101.903
Minimum1105
Maximum34373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:56.022310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1105
5-th percentile2655.5
Q15683
median7554
Q315751
95-th percentile24748
Maximum34373
Range33268
Interquartile range (IQR)10068

Descriptive statistics

Standard deviation8087.9216
Coefficient of variation (CV)0.72851667
Kurtosis0.78436975
Mean11101.903
Median Absolute Deviation (MAD)3908
Skewness1.1227674
Sum344159
Variance65414476
MonotonicityNot monotonic
2023-12-12T19:13:56.158219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3163 1
 
3.2%
3646 1
 
3.2%
34373 1
 
3.2%
19209 1
 
3.2%
16352 1
 
3.2%
25315 1
 
3.2%
24181 1
 
3.2%
21555 1
 
3.2%
14187 1
 
3.2%
17541 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1105 1
3.2%
2183 1
3.2%
3128 1
3.2%
3163 1
3.2%
3646 1
3.2%
4806 1
3.2%
5016 1
3.2%
5610 1
3.2%
5756 1
3.2%
5889 1
3.2%
ValueCountFrequency (%)
34373 1
3.2%
25315 1
3.2%
24181 1
3.2%
22007 1
3.2%
21555 1
3.2%
19209 1
3.2%
17541 1
3.2%
16352 1
3.2%
15150 1
3.2%
14801 1
3.2%

필리핀_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean854360.84
Minimum24829
Maximum4370193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:56.316739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24829
5-th percentile46933.5
Q1161907.5
median519369
Q31309057.5
95-th percentile2252244
Maximum4370193
Range4345364
Interquartile range (IQR)1147150

Descriptive statistics

Standard deviation962007.03
Coefficient of variation (CV)1.1259962
Kurtosis4.7157959
Mean854360.84
Median Absolute Deviation (MAD)428956
Skewness1.9105765
Sum26485186
Variance9.2545752 × 1011
MonotonicityNot monotonic
2023-12-12T19:13:56.466387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
54551 1
 
3.2%
78581 1
 
3.2%
4370193 1
 
3.2%
1577727 1
 
3.2%
818836 1
 
3.2%
1853351 1
 
3.2%
1988124 1
 
3.2%
1403488 1
 
3.2%
745452 1
 
3.2%
1153790 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
24829 1
3.2%
39316 1
3.2%
54551 1
3.2%
77037 1
3.2%
78581 1
3.2%
90413 1
3.2%
125456 1
3.2%
161658 1
3.2%
162157 1
3.2%
169226 1
3.2%
ValueCountFrequency (%)
4370193 1
3.2%
2516364 1
3.2%
1988124 1
3.2%
1853351 1
3.2%
1846393 1
3.2%
1814129 1
3.2%
1577727 1
3.2%
1403488 1
3.2%
1214627 1
3.2%
1153790 1
3.2%

필리핀_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.259032
Minimum15.79
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:56.627263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.79
5-th percentile17.63
Q125.84
median58.64
Q384.73
95-th percentile124.5
Maximum127
Range111.21
Interquartile range (IQR)58.89

Descriptive statistics

Standard deviation37.256706
Coefficient of variation (CV)0.60818307
Kurtosis-1.1134748
Mean61.259032
Median Absolute Deviation (MAD)30.23
Skewness0.41454131
Sum1899.03
Variance1388.0622
MonotonicityNot monotonic
2023-12-12T19:13:56.783190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
17.25 1
 
3.2%
21.55 1
 
3.2%
127.0 1
 
3.2%
82.13 1
 
3.2%
50.08 1
 
3.2%
73.21 1
 
3.2%
82.22 1
 
3.2%
65.11 1
 
3.2%
52.55 1
 
3.2%
65.78 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
15.79 1
3.2%
17.25 1
3.2%
18.01 1
3.2%
18.02 1
3.2%
21.08 1
3.2%
21.55 1
3.2%
22.47 1
3.2%
24.62 1
3.2%
27.06 1
3.2%
28.41 1
3.2%
ValueCountFrequency (%)
127.0 1
3.2%
125.0 1
3.2%
124.0 1
3.2%
120.0 1
3.2%
114.0 1
3.2%
108.0 1
3.2%
88.2 1
3.2%
87.24 1
3.2%
82.22 1
3.2%
82.13 1
3.2%

태국_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2497.8242
Minimum86.55
Maximum12303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:56.954402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.55
5-th percentile176
Q1522.5
median1544
Q32700.5
95-th percentile10589
Maximum12303
Range12216.45
Interquartile range (IQR)2178

Descriptive statistics

Standard deviation3240.0669
Coefficient of variation (CV)1.2971557
Kurtosis4.0196429
Mean2497.8242
Median Absolute Deviation (MAD)1046
Skewness2.1230805
Sum77432.55
Variance10498033
MonotonicityNot monotonic
2023-12-12T19:13:57.139825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
12043.0 1
 
3.2%
5348.0 1
 
3.2%
1874.0 1
 
3.2%
1780.0 1
 
3.2%
2418.0 1
 
3.2%
3236.0 1
 
3.2%
2983.0 1
 
3.2%
1937.0 1
 
3.2%
1544.0 1
 
3.2%
1626.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
86.55 1
3.2%
146.0 1
3.2%
206.0 1
3.2%
241.0 1
3.2%
349.0 1
3.2%
363.0 1
3.2%
440.0 1
3.2%
498.0 1
3.2%
547.0 1
3.2%
570.0 1
3.2%
ValueCountFrequency (%)
12303.0 1
3.2%
12043.0 1
3.2%
9135.0 1
3.2%
5348.0 1
3.2%
5076.0 1
3.2%
4547.0 1
3.2%
3236.0 1
3.2%
2983.0 1
3.2%
2418.0 1
3.2%
2048.0 1
3.2%

태국_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111757.26
Minimum6324
Maximum332912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:57.278571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6324
5-th percentile8858
Q124229
median109030
Q3161232.5
95-th percentile265614.5
Maximum332912
Range326588
Interquartile range (IQR)137003.5

Descriptive statistics

Standard deviation90976.504
Coefficient of variation (CV)0.81405455
Kurtosis-0.38157044
Mean111757.26
Median Absolute Deviation (MAD)75037
Skewness0.67672518
Sum3464475
Variance8.2767243 × 109
MonotonicityNot monotonic
2023-12-12T19:13:57.431376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
184067 1
 
3.2%
118299 1
 
3.2%
262352 1
 
3.2%
202171 1
 
3.2%
157212 1
 
3.2%
243091 1
 
3.2%
268877 1
 
3.2%
165253 1
 
3.2%
109226 1
 
3.2%
125614 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
6324 1
3.2%
7897 1
3.2%
9819 1
3.2%
13913 1
3.2%
16501 1
3.2%
18304 1
3.2%
19552 1
3.2%
19909 1
3.2%
28549 1
3.2%
43059 1
3.2%
ValueCountFrequency (%)
332912 1
3.2%
268877 1
3.2%
262352 1
3.2%
243091 1
3.2%
226746 1
3.2%
202171 1
3.2%
184067 1
3.2%
165253 1
3.2%
157212 1
3.2%
153046 1
3.2%

태국_단가
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.185806
Minimum15.28
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:57.600822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.28
5-th percentile19.48
Q127.045
median70.72
Q3104.76
95-th percentile147
Maximum173
Range157.72
Interquartile range (IQR)77.715

Descriptive statistics

Standard deviation46.259121
Coefficient of variation (CV)0.6498363
Kurtosis-0.77828231
Mean71.185806
Median Absolute Deviation (MAD)43.66
Skewness0.56965135
Sum2206.76
Variance2139.9063
MonotonicityNot monotonic
2023-12-12T19:13:57.743655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
118.0 2
 
6.5%
15.28 1
 
3.2%
140.0 1
 
3.2%
114.0 1
 
3.2%
65.0 1
 
3.2%
75.13 1
 
3.2%
90.14 1
 
3.2%
85.32 1
 
3.2%
70.72 1
 
3.2%
77.24 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
15.28 1
3.2%
17.94 1
3.2%
21.02 1
3.2%
21.14 1
3.2%
21.48 1
3.2%
22.12 1
3.2%
24.82 1
3.2%
27.03 1
3.2%
27.06 1
3.2%
32.66 1
3.2%
ValueCountFrequency (%)
173.0 1
3.2%
154.0 1
3.2%
140.0 1
3.2%
138.0 1
3.2%
135.0 1
3.2%
118.0 2
6.5%
114.0 1
3.2%
95.52 1
3.2%
90.14 1
3.2%
85.32 1
3.2%

말레이시아_물량
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean7302.4573
Minimum55.77
Maximum28957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:57.912489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.77
5-th percentile177.8225
Q1581.5
median1529
Q313670.25
95-th percentile23627.15
Maximum28957
Range28901.23
Interquartile range (IQR)13088.75

Descriptive statistics

Standard deviation9276.9128
Coefficient of variation (CV)1.2703823
Kurtosis-0.40558771
Mean7302.4573
Median Absolute Deviation (MAD)1154
Skewness1.0480212
Sum219073.72
Variance86061111
MonotonicityNot monotonic
2023-12-12T19:13:58.073517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
457.0 1
 
3.2%
708.0 1
 
3.2%
28957.0 1
 
3.2%
22938.0 1
 
3.2%
22150.0 1
 
3.2%
22155.0 1
 
3.2%
16886.0 1
 
3.2%
11571.0 1
 
3.2%
13962.0 1
 
3.2%
24191.0 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
55.77 1
3.2%
72.95 1
3.2%
306.0 1
3.2%
344.0 1
3.2%
406.0 1
3.2%
457.0 1
3.2%
507.0 1
3.2%
553.0 1
3.2%
667.0 1
3.2%
708.0 1
3.2%
ValueCountFrequency (%)
28957.0 1
3.2%
24191.0 1
3.2%
22938.0 1
3.2%
22155.0 1
3.2%
22150.0 1
3.2%
17032.0 1
3.2%
16886.0 1
3.2%
13962.0 1
3.2%
12795.0 1
3.2%
11571.0 1
3.2%

말레이시아_금액
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean582781.93
Minimum2151
Maximum3271680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:58.242891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2151
5-th percentile4099.9
Q123899
median46015.5
Q31032317.8
95-th percentile1959520.7
Maximum3271680
Range3269529
Interquartile range (IQR)1008418.8

Descriptive statistics

Standard deviation838899.22
Coefficient of variation (CV)1.4394736
Kurtosis2.1757472
Mean582781.93
Median Absolute Deviation (MAD)43183
Skewness1.5652731
Sum17483458
Variance7.037519 × 1011
MonotonicityNot monotonic
2023-12-12T19:13:58.412665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
8715 1
 
3.2%
46902 1
 
3.2%
3271680 1
 
3.2%
1869450 1
 
3.2%
1057622 1
 
3.2%
1615399 1
 
3.2%
1290152 1
 
3.2%
737534 1
 
3.2%
718471 1
 
3.2%
1487322 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
2151 1
3.2%
3514 1
3.2%
4816 1
3.2%
8715 1
3.2%
12470 1
3.2%
15274 1
3.2%
20403 1
3.2%
23583 1
3.2%
24847 1
3.2%
29010 1
3.2%
ValueCountFrequency (%)
3271680 1
3.2%
2033215 1
3.2%
1869450 1
3.2%
1615399 1
3.2%
1610066 1
3.2%
1487322 1
3.2%
1290152 1
3.2%
1057622 1
3.2%
956405 1
3.2%
737534 1
3.2%

말레이시아_단가
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean58.862333
Minimum15.73
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:58.586435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.73
5-th percentile20.0035
Q125.425
median56.47
Q380.225
95-th percentile116.75
Maximum126
Range110.27
Interquartile range (IQR)54.8

Descriptive statistics

Standard deviation34.167621
Coefficient of variation (CV)0.58046665
Kurtosis-0.92343121
Mean58.862333
Median Absolute Deviation (MAD)28.23
Skewness0.5034294
Sum1765.87
Variance1167.4263
MonotonicityNot monotonic
2023-12-12T19:13:58.769674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
19.09 1
 
3.2%
66.23 1
 
3.2%
113.0 1
 
3.2%
81.5 1
 
3.2%
47.75 1
 
3.2%
72.91 1
 
3.2%
76.4 1
 
3.2%
63.74 1
 
3.2%
51.46 1
 
3.2%
61.48 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
15.73 1
3.2%
19.09 1
3.2%
21.12 1
3.2%
21.85 1
3.2%
22.89 1
3.2%
23.6 1
3.2%
24.14 1
3.2%
24.62 1
3.2%
27.84 1
3.2%
29.49 1
3.2%
ValueCountFrequency (%)
126.0 1
3.2%
119.0 1
3.2%
114.0 1
3.2%
113.0 1
3.2%
109.0 1
3.2%
90.42 1
3.2%
84.3 1
3.2%
81.5 1
3.2%
76.4 1
3.2%
73.95 1
3.2%

싱가폴_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39179.129
Minimum3874
Maximum96712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:58.944818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3874
5-th percentile6819
Q116015
median38288
Q360099.5
95-th percentile84082.5
Maximum96712
Range92838
Interquartile range (IQR)44084.5

Descriptive statistics

Standard deviation27385.033
Coefficient of variation (CV)0.69896994
Kurtosis-0.99250426
Mean39179.129
Median Absolute Deviation (MAD)22499
Skewness0.49294959
Sum1214553
Variance7.4994006 × 108
MonotonicityNot monotonic
2023-12-12T19:13:59.124339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
16431 1
 
3.2%
15599 1
 
3.2%
59412 1
 
3.2%
52979 1
 
3.2%
38288 1
 
3.2%
51046 1
 
3.2%
48218 1
 
3.2%
57239 1
 
3.2%
72525 1
 
3.2%
76807 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
3874 1
3.2%
5897 1
3.2%
7741 1
3.2%
11206 1
3.2%
11662 1
3.2%
12747 1
3.2%
15153 1
3.2%
15599 1
3.2%
16431 1
3.2%
17432 1
3.2%
ValueCountFrequency (%)
96712 1
3.2%
91358 1
3.2%
76807 1
3.2%
74383 1
3.2%
72525 1
3.2%
68541 1
3.2%
66180 1
3.2%
60787 1
3.2%
59412 1
3.2%
57239 1
3.2%

싱가폴_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3154982.1
Minimum81400
Maximum10924995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:59.287588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81400
5-th percentile143760.5
Q1359608.5
median1921629
Q34431498.5
95-th percentile9838305
Maximum10924995
Range10843595
Interquartile range (IQR)4071890

Descriptive statistics

Standard deviation3350968.2
Coefficient of variation (CV)1.0621196
Kurtosis0.020352902
Mean3154982.1
Median Absolute Deviation (MAD)1755984
Skewness1.0260559
Sum97804445
Variance1.1228988 × 1013
MonotonicityNot monotonic
2023-12-12T19:13:59.466193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
250504 1
 
3.2%
211549 1
 
3.2%
7086073 1
 
3.2%
4298174 1
 
3.2%
1921629 1
 
3.2%
3761054 1
 
3.2%
3825838 1
 
3.2%
3723500 1
 
3.2%
3684534 1
 
3.2%
4893893 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
81400 1
3.2%
121876 1
3.2%
165645 1
3.2%
172747 1
3.2%
211549 1
3.2%
250504 1
3.2%
256088 1
3.2%
353056 1
3.2%
366161 1
3.2%
450816 1
3.2%
ValueCountFrequency (%)
10924995 1
3.2%
10679497 1
3.2%
8997113 1
3.2%
8505122 1
3.2%
7533252 1
3.2%
7086073 1
3.2%
4893893 1
3.2%
4564823 1
3.2%
4298174 1
3.2%
3825838 1
3.2%

싱가폴_단가
Real number (ℝ)

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.700323
Minimum13.55
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:13:59.997492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.55
5-th percentile14.17
Q123.435
median62.29
Q382.35
95-th percentile122.5
Maximum124
Range110.45
Interquartile range (IQR)58.915

Descriptive statistics

Standard deviation38.149876
Coefficient of variation (CV)0.63902294
Kurtosis-1.1408087
Mean59.700323
Median Absolute Deviation (MAD)34.98
Skewness0.37826101
Sum1850.71
Variance1455.413
MonotonicityNot monotonic
2023-12-12T19:14:00.160259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
14.78 2
 
6.5%
124.0 2
 
6.5%
15.25 1
 
3.2%
68.98 1
 
3.2%
119.0 1
 
3.2%
81.13 1
 
3.2%
50.19 1
 
3.2%
73.68 1
 
3.2%
79.34 1
 
3.2%
65.05 1
 
3.2%
Other values (19) 19
61.3%
ValueCountFrequency (%)
13.55 1
3.2%
13.56 1
3.2%
14.78 2
6.5%
15.25 1
3.2%
16.77 1
3.2%
20.67 1
3.2%
21.01 1
3.2%
25.86 1
3.2%
27.31 1
3.2%
31.79 1
3.2%
ValueCountFrequency (%)
124.0 2
6.5%
121.0 1
3.2%
119.0 1
3.2%
117.0 1
3.2%
113.0 1
3.2%
88.1 1
3.2%
83.57 1
3.2%
81.13 1
3.2%
79.34 1
3.2%
73.79 1
3.2%

인도네시아_물량
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing3
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean16046.929
Minimum228
Maximum50953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:00.303052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum228
5-th percentile418.9
Q16575.25
median13796.5
Q319026.75
95-th percentile42122.65
Maximum50953
Range50725
Interquartile range (IQR)12451.5

Descriptive statistics

Standard deviation13379.837
Coefficient of variation (CV)0.83379425
Kurtosis0.7031068
Mean16046.929
Median Absolute Deviation (MAD)7252
Skewness1.107988
Sum449314
Variance1.7902003 × 108
MonotonicityNot monotonic
2023-12-12T19:14:00.465606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37429 1
 
3.2%
13734 1
 
3.2%
7272 1
 
3.2%
6893 1
 
3.2%
13505 1
 
3.2%
16566 1
 
3.2%
13975 1
 
3.2%
13859 1
 
3.2%
30011 1
 
3.2%
34434 1
 
3.2%
Other values (18) 18
58.1%
(Missing) 3
 
9.7%
ValueCountFrequency (%)
228 1
3.2%
295 1
3.2%
649 1
3.2%
1954 1
3.2%
5144 1
3.2%
5890 1
3.2%
6483 1
3.2%
6606 1
3.2%
6893 1
3.2%
7272 1
3.2%
ValueCountFrequency (%)
50953 1
3.2%
44650 1
3.2%
37429 1
3.2%
34434 1
3.2%
30011 1
3.2%
27759 1
3.2%
24735 1
3.2%
17124 1
3.2%
16985 1
3.2%
16660 1
3.2%

인도네시아_금액
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing3
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean1401238.6
Minimum6260
Maximum6215702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:00.629615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6260
5-th percentile13279.1
Q1169964.25
median955249
Q31744027.8
95-th percentile4888074.5
Maximum6215702
Range6209442
Interquartile range (IQR)1574063.5

Descriptive statistics

Standard deviation1641060
Coefficient of variation (CV)1.1711495
Kurtosis2.427968
Mean1401238.6
Median Absolute Deviation (MAD)797962.5
Skewness1.6712703
Sum39234682
Variance2.6930778 × 1012
MonotonicityNot monotonic
2023-12-12T19:14:00.769056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3312681 1
 
3.2%
1668846 1
 
3.2%
642983 1
 
3.2%
355825 1
 
3.2%
966501 1
 
3.2%
1321626 1
 
3.2%
943997 1
 
3.2%
680976 1
 
3.2%
2016436 1
 
3.2%
3742289 1
 
3.2%
Other values (18) 18
58.1%
(Missing) 3
 
9.7%
ValueCountFrequency (%)
6260 1
3.2%
7838 1
3.2%
23384 1
3.2%
95356 1
3.2%
96579 1
3.2%
103611 1
3.2%
131931 1
3.2%
182642 1
3.2%
293070 1
3.2%
355825 1
3.2%
ValueCountFrequency (%)
6215702 1
3.2%
5505036 1
3.2%
3742289 1
3.2%
3347233 1
3.2%
3312681 1
3.2%
2016436 1
3.2%
1969573 1
3.2%
1668846 1
3.2%
1563434 1
3.2%
1323122 1
3.2%

인도네시아_단가
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)96.4%
Missing3
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean66.369643
Minimum14.9
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:00.968651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.9
5-th percentile20.931
Q133.615
median67.37
Q388.4425
95-th percentile122
Maximum123
Range108.1
Interquartile range (IQR)54.8275

Descriptive statistics

Standard deviation35.360648
Coefficient of variation (CV)0.53278346
Kurtosis-1.1490429
Mean66.369643
Median Absolute Deviation (MAD)31.58
Skewness0.26192331
Sum1858.35
Variance1250.3754
MonotonicityNot monotonic
2023-12-12T19:14:01.123563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
122.0 2
 
6.5%
26.61 1
 
3.2%
88.42 1
 
3.2%
51.62 1
 
3.2%
71.57 1
 
3.2%
79.78 1
 
3.2%
67.55 1
 
3.2%
49.14 1
 
3.2%
67.19 1
 
3.2%
109.0 1
 
3.2%
Other values (17) 17
54.8%
(Missing) 3
 
9.7%
ValueCountFrequency (%)
14.9 1
3.2%
20.14 1
3.2%
22.4 1
3.2%
26.61 1
3.2%
27.46 1
3.2%
27.65 1
3.2%
27.81 1
3.2%
35.55 1
3.2%
36.03 1
3.2%
48.79 1
3.2%
ValueCountFrequency (%)
123.0 1
3.2%
122.0 2
6.5%
121.0 1
3.2%
116.0 1
3.2%
109.0 1
3.2%
88.51 1
3.2%
88.42 1
3.2%
82.77 1
3.2%
79.78 1
3.2%
77.27 1
3.2%

방글라데시_물량
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing15
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean1497.2694
Minimum47.46
Maximum7333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:01.264542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.46
5-th percentile56.1075
Q1281.7125
median963.5
Q31983.75
95-th percentile4621.75
Maximum7333
Range7285.54
Interquartile range (IQR)1702.0375

Descriptive statistics

Standard deviation1857.6095
Coefficient of variation (CV)1.2406648
Kurtosis6.3710703
Mean1497.2694
Median Absolute Deviation (MAD)898.995
Skewness2.3163708
Sum23956.31
Variance3450713
MonotonicityNot monotonic
2023-12-12T19:14:01.403851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
58.99 1
 
3.2%
7333.0 1
 
3.2%
1973.0 1
 
3.2%
630.0 1
 
3.2%
2016.0 1
 
3.2%
97.85 1
 
3.2%
47.46 1
 
3.2%
948.0 1
 
3.2%
1382.0 1
 
3.2%
59.01 1
 
3.2%
Other values (6) 6
 
19.4%
(Missing) 15
48.4%
ValueCountFrequency (%)
47.46 1
3.2%
58.99 1
3.2%
59.01 1
3.2%
97.85 1
3.2%
343.0 1
3.2%
493.0 1
3.2%
630.0 1
3.2%
948.0 1
3.2%
979.0 1
3.2%
1382.0 1
3.2%
ValueCountFrequency (%)
7333.0 1
3.2%
3718.0 1
3.2%
2021.0 1
3.2%
2016.0 1
3.2%
1973.0 1
3.2%
1857.0 1
3.2%
1382.0 1
3.2%
979.0 1
3.2%
948.0 1
3.2%
630.0 1
3.2%

방글라데시_금액
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing15
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean162044.19
Minimum4776
Maximum985291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:01.546550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4776
5-th percentile4866.75
Q121369.75
median101844.5
Q3180339.25
95-th percentile493800.25
Maximum985291
Range980515
Interquartile range (IQR)158969.5

Descriptive statistics

Standard deviation242119.96
Coefficient of variation (CV)1.4941601
Kurtosis9.7302282
Mean162044.19
Median Absolute Deviation (MAD)83635
Skewness2.9077547
Sum2592707
Variance5.8622076 × 1010
MonotonicityNot monotonic
2023-12-12T19:14:01.699339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4776 1
 
3.2%
985291 1
 
3.2%
161679 1
 
3.2%
30984 1
 
3.2%
156865 1
 
3.2%
11889 1
 
3.2%
4897 1
 
3.2%
76947 1
 
3.2%
135525 1
 
3.2%
6682 1
 
3.2%
Other values (6) 6
 
19.4%
(Missing) 15
48.4%
ValueCountFrequency (%)
4776 1
3.2%
4897 1
3.2%
6682 1
3.2%
11889 1
3.2%
24530 1
3.2%
30984 1
3.2%
35431 1
3.2%
76947 1
3.2%
126742 1
3.2%
135525 1
3.2%
ValueCountFrequency (%)
985291 1
3.2%
329970 1
3.2%
264179 1
3.2%
236320 1
3.2%
161679 1
3.2%
156865 1
3.2%
135525 1
3.2%
126742 1
3.2%
76947 1
3.2%
35431 1
3.2%

방글라데시_단가
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing15
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean97.506875
Minimum49.15
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:01.830161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.15
5-th percentile65.875
Q180.1825
median93.41
Q3123.25
95-th percentile131.75
Maximum134
Range84.85
Interquartile range (IQR)43.0675

Descriptive statistics

Standard deviation25.962428
Coefficient of variation (CV)0.26626253
Kurtosis-1.095595
Mean97.506875
Median Absolute Deviation (MAD)20.59
Skewness-0.03072311
Sum1560.11
Variance674.04765
MonotonicityNot monotonic
2023-12-12T19:14:01.956838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
80.97 1
 
3.2%
134.0 1
 
3.2%
81.93 1
 
3.2%
49.15 1
 
3.2%
77.82 1
 
3.2%
122.0 1
 
3.2%
103.0 1
 
3.2%
81.15 1
 
3.2%
98.07 1
 
3.2%
113.0 1
 
3.2%
Other values (6) 6
 
19.4%
(Missing) 15
48.4%
ValueCountFrequency (%)
49.15 1
3.2%
71.45 1
3.2%
71.82 1
3.2%
77.82 1
3.2%
80.97 1
3.2%
81.15 1
3.2%
81.93 1
3.2%
88.75 1
3.2%
98.07 1
3.2%
103.0 1
3.2%
ValueCountFrequency (%)
134.0 1
3.2%
131.0 1
3.2%
129.0 1
3.2%
127.0 1
3.2%
122.0 1
3.2%
113.0 1
3.2%
103.0 1
3.2%
98.07 1
3.2%
88.75 1
3.2%
81.93 1
3.2%

인도_물량
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean4006.9615
Minimum484
Maximum6644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:02.086556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum484
5-th percentile787.25
Q13092.25
median4273
Q35072.5
95-th percentile6385.25
Maximum6644
Range6160
Interquartile range (IQR)1980.25

Descriptive statistics

Standard deviation1723.551
Coefficient of variation (CV)0.43013914
Kurtosis-0.34016266
Mean4006.9615
Median Absolute Deviation (MAD)878.5
Skewness-0.63025595
Sum104181
Variance2970628
MonotonicityNot monotonic
2023-12-12T19:14:02.233876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6644 1
 
3.2%
6083 1
 
3.2%
6486 1
 
3.2%
5581 1
 
3.2%
4012 1
 
3.2%
5744 1
 
3.2%
4780 1
 
3.2%
4127 1
 
3.2%
4722 1
 
3.2%
4844 1
 
3.2%
Other values (16) 16
51.6%
(Missing) 5
 
16.1%
ValueCountFrequency (%)
484 1
3.2%
734 1
3.2%
947 1
3.2%
1793 1
3.2%
2015 1
3.2%
2388 1
3.2%
2897 1
3.2%
3678 1
3.2%
3896 1
3.2%
3940 1
3.2%
ValueCountFrequency (%)
6644 1
3.2%
6486 1
3.2%
6083 1
3.2%
5744 1
3.2%
5581 1
3.2%
5191 1
3.2%
5112 1
3.2%
4954 1
3.2%
4844 1
3.2%
4780 1
3.2%

인도_금액
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean374940.15
Minimum18727
Maximum1056825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:02.360513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18727
5-th percentile24779
Q1115678.75
median377077.5
Q3551606
95-th percentile773570
Maximum1056825
Range1038098
Interquartile range (IQR)435927.25

Descriptive statistics

Standard deviation272408.1
Coefficient of variation (CV)0.72653754
Kurtosis-0.077176336
Mean374940.15
Median Absolute Deviation (MAD)233454
Skewness0.52813722
Sum9748444
Variance7.420617 × 1010
MonotonicityNot monotonic
2023-12-12T19:14:02.494668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1056825 1
 
3.2%
796515 1
 
3.2%
704735 1
 
3.2%
376795 1
 
3.2%
341336 1
 
3.2%
573520 1
 
3.2%
400850 1
 
3.2%
278916 1
 
3.2%
377360 1
 
3.2%
630033 1
 
3.2%
Other values (16) 16
51.6%
(Missing) 5
 
16.1%
ValueCountFrequency (%)
18727 1
3.2%
22133 1
3.2%
32717 1
3.2%
42343 1
3.2%
78565 1
3.2%
87266 1
3.2%
101596 1
3.2%
157927 1
3.2%
197166 1
3.2%
278916 1
3.2%
ValueCountFrequency (%)
1056825 1
3.2%
796515 1
3.2%
704735 1
3.2%
680617 1
3.2%
630033 1
3.2%
624835 1
3.2%
573520 1
3.2%
485864 1
3.2%
484925 1
3.2%
432556 1
3.2%

인도_단가
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean82.010769
Minimum17.73
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:02.625548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.73
5-th percentile22.9925
Q146.8625
median81.895
Q3110.5
95-th percentile141
Maximum159
Range141.27
Interquartile range (IQR)63.6375

Descriptive statistics

Standard deviation40.365497
Coefficient of variation (CV)0.49219752
Kurtosis-0.96187856
Mean82.010769
Median Absolute Deviation (MAD)33.85
Skewness0.11492629
Sum2132.28
Variance1629.3734
MonotonicityNot monotonic
2023-12-12T19:14:02.758440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
159.0 1
 
3.2%
131.0 1
 
3.2%
109.0 1
 
3.2%
67.51 1
 
3.2%
85.08 1
 
3.2%
99.85 1
 
3.2%
83.87 1
 
3.2%
67.58 1
 
3.2%
79.92 1
 
3.2%
130.0 1
 
3.2%
Other values (16) 16
51.6%
(Missing) 5
 
16.1%
ValueCountFrequency (%)
17.73 1
3.2%
22.15 1
3.2%
25.52 1
3.2%
34.55 1
3.2%
35.73 1
3.2%
43.81 1
3.2%
45.68 1
3.2%
50.41 1
3.2%
67.51 1
3.2%
67.58 1
3.2%
ValueCountFrequency (%)
159.0 1
3.2%
144.0 1
3.2%
132.0 1
3.2%
131.0 1
3.2%
130.0 1
3.2%
126.0 1
3.2%
111.0 1
3.2%
109.0 1
3.2%
99.85 1
3.2%
94.87 1
3.2%

파키스탄_물량
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean229.84824
Minimum7.83
Maximum604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:02.905545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.83
5-th percentile14.11
Q145.27
median229
Q3361
95-th percentile557.6
Maximum604
Range596.17
Interquartile range (IQR)315.73

Descriptive statistics

Standard deviation202.49442
Coefficient of variation (CV)0.88099183
Kurtosis-1.2724643
Mean229.84824
Median Absolute Deviation (MAD)183.73
Skewness0.40281685
Sum3907.42
Variance41003.99
MonotonicityNot monotonic
2023-12-12T19:14:03.027860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7.83 1
 
3.2%
423.0 1
 
3.2%
361.0 1
 
3.2%
546.0 1
 
3.2%
349.0 1
 
3.2%
345.0 1
 
3.2%
417.0 1
 
3.2%
229.0 1
 
3.2%
42.57 1
 
3.2%
61.31 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
7.83 1
3.2%
15.68 1
3.2%
28.75 1
3.2%
42.57 1
3.2%
45.27 1
3.2%
55.81 1
3.2%
61.2 1
3.2%
61.31 1
3.2%
229.0 1
3.2%
315.0 1
3.2%
ValueCountFrequency (%)
604.0 1
3.2%
546.0 1
3.2%
423.0 1
3.2%
417.0 1
3.2%
361.0 1
3.2%
349.0 1
3.2%
345.0 1
3.2%
315.0 1
3.2%
229.0 1
3.2%
61.31 1
3.2%

파키스탄_금액
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean23709.882
Minimum840
Maximum60238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:03.184591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum840
5-th percentile1229.6
Q16260
median16880
Q337230
95-th percentile56315.6
Maximum60238
Range59398
Interquartile range (IQR)30970

Descriptive statistics

Standard deviation20588.285
Coefficient of variation (CV)0.86834191
Kurtosis-1.3546156
Mean23709.882
Median Absolute Deviation (MAD)15553
Skewness0.40480612
Sum403068
Variance4.2387746 × 108
MonotonicityNot monotonic
2023-12-12T19:14:03.325063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
840 1
 
3.2%
60238 1
 
3.2%
47418 1
 
3.2%
37230 1
 
3.2%
29824 1
 
3.2%
36678 1
 
3.2%
35645 1
 
3.2%
16880 1
 
3.2%
1468 1
 
3.2%
8766 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
840 1
3.2%
1327 1
3.2%
1468 1
3.2%
2501 1
3.2%
6260 1
3.2%
8766 1
3.2%
9386 1
3.2%
9469 1
3.2%
16880 1
3.2%
29824 1
3.2%
ValueCountFrequency (%)
60238 1
3.2%
55335 1
3.2%
47418 1
3.2%
43803 1
3.2%
37230 1
3.2%
36678 1
3.2%
35645 1
3.2%
29824 1
3.2%
16880 1
3.2%
9469 1
3.2%

파키스탄_단가
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean108.21059
Minimum34.49
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:03.514524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.49
5-th percentile61.434
Q185.39
median106
Q3139
95-th percentile156.4
Maximum170
Range135.51
Interquartile range (IQR)53.61

Descriptive statistics

Standard deviation36.299515
Coefficient of variation (CV)0.33545252
Kurtosis-0.61584462
Mean108.21059
Median Absolute Deviation (MAD)32
Skewness-0.12280525
Sum1839.58
Variance1317.6548
MonotonicityNot monotonic
2023-12-12T19:14:03.708139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
107.0 1
 
3.2%
142.0 1
 
3.2%
131.0 1
 
3.2%
68.17 1
 
3.2%
85.39 1
 
3.2%
106.0 1
 
3.2%
85.56 1
 
3.2%
73.64 1
 
3.2%
34.49 1
 
3.2%
143.0 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
34.49 1
3.2%
68.17 1
3.2%
73.64 1
3.2%
84.64 1
3.2%
85.39 1
3.2%
85.56 1
3.2%
87.0 1
3.2%
91.69 1
3.2%
106.0 1
3.2%
107.0 1
3.2%
ValueCountFrequency (%)
170.0 1
3.2%
153.0 1
3.2%
143.0 1
3.2%
142.0 1
3.2%
139.0 1
3.2%
138.0 1
3.2%
131.0 1
3.2%
107.0 1
3.2%
106.0 1
3.2%
91.69 1
3.2%

스리랑카_물량
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean147.74267
Minimum31.81
Maximum412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:03.871449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.81
5-th percentile38.152
Q167.94
median104
Q3186
95-th percentile384.7
Maximum412
Range380.19
Interquartile range (IQR)118.06

Descriptive statistics

Standard deviation118.97607
Coefficient of variation (CV)0.80529255
Kurtosis0.75927623
Mean147.74267
Median Absolute Deviation (MAD)40.45
Skewness1.3492296
Sum2216.14
Variance14155.305
MonotonicityNot monotonic
2023-12-12T19:14:03.988849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
282.0 1
 
3.2%
63.55 1
 
3.2%
105.0 1
 
3.2%
40.87 1
 
3.2%
68.71 1
 
3.2%
373.0 1
 
3.2%
67.17 1
 
3.2%
31.81 1
 
3.2%
166.0 1
 
3.2%
91.37 1
 
3.2%
Other values (5) 5
 
16.1%
(Missing) 16
51.6%
ValueCountFrequency (%)
31.81 1
3.2%
40.87 1
3.2%
63.55 1
3.2%
67.17 1
3.2%
68.71 1
3.2%
91.37 1
3.2%
94.66 1
3.2%
104.0 1
3.2%
105.0 1
3.2%
110.0 1
3.2%
ValueCountFrequency (%)
412.0 1
3.2%
373.0 1
3.2%
282.0 1
3.2%
206.0 1
3.2%
166.0 1
3.2%
110.0 1
3.2%
105.0 1
3.2%
104.0 1
3.2%
94.66 1
3.2%
91.37 1
3.2%

스리랑카_금액
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean15221
Minimum2921
Maximum49647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:04.113238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2921
5-th percentile5074.2
Q19487
median12836
Q317957
95-th percentile32259.7
Maximum49647
Range46726
Interquartile range (IQR)8470

Descriptive statistics

Standard deviation11413.359
Coefficient of variation (CV)0.74984293
Kurtosis5.6770586
Mean15221
Median Absolute Deviation (MAD)3466
Skewness2.131054
Sum228315
Variance1.3026477 × 108
MonotonicityNot monotonic
2023-12-12T19:14:04.236826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
23237 1
 
3.2%
6301 1
 
3.2%
12836 1
 
3.2%
5997 1
 
3.2%
10940 1
 
3.2%
49647 1
 
3.2%
9370 1
 
3.2%
2921 1
 
3.2%
13681 1
 
3.2%
9604 1
 
3.2%
Other values (5) 5
 
16.1%
(Missing) 16
51.6%
ValueCountFrequency (%)
2921 1
3.2%
5997 1
3.2%
6301 1
3.2%
9370 1
3.2%
9604 1
3.2%
9706 1
3.2%
10940 1
3.2%
12836 1
3.2%
13353 1
3.2%
13681 1
3.2%
ValueCountFrequency (%)
49647 1
3.2%
24808 1
3.2%
23237 1
3.2%
21521 1
3.2%
14393 1
3.2%
13681 1
3.2%
13353 1
3.2%
12836 1
3.2%
10940 1
3.2%
9706 1
3.2%

스리랑카_단가
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean112.94333
Minimum60.26
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:04.345328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.26
5-th percentile75.674
Q189.915
median105
Q3139
95-th percentile150.6
Maximum159
Range98.74
Interquartile range (IQR)49.085

Descriptive statistics

Standard deviation29.190976
Coefficient of variation (CV)0.25845683
Kurtosis-1.1029806
Mean112.94333
Median Absolute Deviation (MAD)22.72
Skewness-0.092764884
Sum1694.15
Variance852.11307
MonotonicityNot monotonic
2023-12-12T19:14:04.468573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
139.0 2
 
6.5%
105.0 2
 
6.5%
82.28 1
 
3.2%
99.15 1
 
3.2%
122.0 1
 
3.2%
147.0 1
 
3.2%
159.0 1
 
3.2%
133.0 1
 
3.2%
91.84 1
 
3.2%
82.63 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 16
51.6%
ValueCountFrequency (%)
60.26 1
3.2%
82.28 1
3.2%
82.63 1
3.2%
87.99 1
3.2%
91.84 1
3.2%
99.15 1
3.2%
105.0 2
6.5%
122.0 1
3.2%
133.0 1
3.2%
139.0 2
6.5%
ValueCountFrequency (%)
159.0 1
3.2%
147.0 1
3.2%
141.0 1
3.2%
139.0 2
6.5%
133.0 1
3.2%
122.0 1
3.2%
105.0 2
6.5%
99.15 1
3.2%
91.84 1
3.2%
87.99 1
3.2%

홍콩(중)_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18343.71
Minimum7046
Maximum35836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:04.591262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7046
5-th percentile8840.5
Q113861.5
median16964
Q323749.5
95-th percentile30633.5
Maximum35836
Range28790
Interquartile range (IQR)9888

Descriptive statistics

Standard deviation7305.7264
Coefficient of variation (CV)0.39826876
Kurtosis-0.30021603
Mean18343.71
Median Absolute Deviation (MAD)5519
Skewness0.58809761
Sum568655
Variance53373639
MonotonicityNot monotonic
2023-12-12T19:14:04.721692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
9602 1
 
3.2%
11445 1
 
3.2%
7046 1
 
3.2%
10100 1
 
3.2%
13395 1
 
3.2%
14443 1
 
3.2%
14344 1
 
3.2%
16964 1
 
3.2%
18052 1
 
3.2%
19177 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
7046 1
3.2%
8079 1
3.2%
9602 1
3.2%
9993 1
3.2%
10100 1
3.2%
11445 1
3.2%
13395 1
3.2%
13852 1
3.2%
13871 1
3.2%
13951 1
3.2%
ValueCountFrequency (%)
35836 1
3.2%
32523 1
3.2%
28744 1
3.2%
26593 1
3.2%
26569 1
3.2%
26152 1
3.2%
25700 1
3.2%
24175 1
3.2%
23324 1
3.2%
22965 1
3.2%

홍콩(중)_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1085716.9
Minimum145025
Maximum3489587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:04.843203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145025
5-th percentile178760.5
Q1547267
median889859
Q31223215
95-th percentile2954251.5
Maximum3489587
Range3344562
Interquartile range (IQR)675948

Descriptive statistics

Standard deviation833181.33
Coefficient of variation (CV)0.76740201
Kurtosis2.1985711
Mean1085716.9
Median Absolute Deviation (MAD)348352
Skewness1.5266345
Sum33657224
Variance6.9419113 × 1011
MonotonicityNot monotonic
2023-12-12T19:14:04.980374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
168209 1
 
3.2%
189312 1
 
3.2%
889859 1
 
3.2%
808420 1
 
3.2%
556421 1
 
3.2%
1110223 1
 
3.2%
1208219 1
 
3.2%
1099520 1
 
3.2%
889653 1
 
3.2%
1238211 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
145025 1
3.2%
168209 1
3.2%
189312 1
3.2%
277301 1
3.2%
340916 1
3.2%
493355 1
3.2%
502217 1
3.2%
538113 1
3.2%
556421 1
3.2%
594541 1
3.2%
ValueCountFrequency (%)
3489587 1
3.2%
3226311 1
3.2%
2682192 1
3.2%
1964002 1
3.2%
1750599 1
3.2%
1724859 1
3.2%
1614197 1
3.2%
1238211 1
3.2%
1208219 1
3.2%
1159408 1
3.2%

홍콩(중)_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.484516
Minimum15.02
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:05.169180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.02
5-th percentile17.03
Q125.53
median63.1
Q383.91
95-th percentile122
Maximum126
Range110.98
Interquartile range (IQR)58.38

Descriptive statistics

Standard deviation37.550113
Coefficient of variation (CV)0.62082191
Kurtosis-1.1730326
Mean60.484516
Median Absolute Deviation (MAD)36.01
Skewness0.40654514
Sum1875.02
Variance1410.011
MonotonicityNot monotonic
2023-12-12T19:14:05.311712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
17.52 1
 
3.2%
16.54 1
 
3.2%
126.0 1
 
3.2%
80.04 1
 
3.2%
41.54 1
 
3.2%
76.87 1
 
3.2%
84.23 1
 
3.2%
64.81 1
 
3.2%
49.28 1
 
3.2%
64.57 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
15.02 1
3.2%
16.54 1
3.2%
17.52 1
3.2%
17.95 1
3.2%
18.57 1
3.2%
19.42 1
3.2%
23.13 1
3.2%
24.61 1
3.2%
26.45 1
3.2%
27.09 1
3.2%
ValueCountFrequency (%)
126.0 1
3.2%
123.0 1
3.2%
121.0 1
3.2%
119.0 1
3.2%
117.0 1
3.2%
110.0 1
3.2%
89.79 1
3.2%
84.23 1
3.2%
83.59 1
3.2%
80.04 1
3.2%

브루나이_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0.14
 
1
66.85
 
1
0.03
 
1
29.55
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0.14 1
 
3.2%
66.85 1
 
3.2%
0.03 1
 
3.2%
29.55 1
 
3.2%
329.0 1
 
3.2%

Length

2023-12-12T19:14:05.496503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:05.672972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0.14 1
 
3.2%
66.85 1
 
3.2%
0.03 1
 
3.2%
29.55 1
 
3.2%
329.0 1
 
3.2%

브루나이_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
22.29
 
1
6543.0
 
1
4.26
 
1
1182.0
 
1

Length

Max length7
Median length4
Mean length4.2580645
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
22.29 1
 
3.2%
6543.0 1
 
3.2%
4.26 1
 
3.2%
1182.0 1
 
3.2%
12556.0 1
 
3.2%

Length

2023-12-12T19:14:05.864661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:05.989714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
22.29 1
 
3.2%
6543.0 1
 
3.2%
4.26 1
 
3.2%
1182.0 1
 
3.2%
12556.0 1
 
3.2%

브루나이_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
160.0
 
1
97.87
 
1
169.0
 
1
39.98
 
1

Length

Max length5
Median length4
Mean length4.1612903
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
160.0 1
 
3.2%
97.87 1
 
3.2%
169.0 1
 
3.2%
39.98 1
 
3.2%
38.14 1
 
3.2%

Length

2023-12-12T19:14:06.137405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:06.277907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
160.0 1
 
3.2%
97.87 1
 
3.2%
169.0 1
 
3.2%
39.98 1
 
3.2%
38.14 1
 
3.2%

괌(미)_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1584.9539
Minimum0.57
Maximum4277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:06.457911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile219.5
Q1691
median1193
Q32365.5
95-th percentile3653
Maximum4277
Range4276.43
Interquartile range (IQR)1674.5

Descriptive statistics

Standard deviation1184.8933
Coefficient of variation (CV)0.7475885
Kurtosis-0.39001911
Mean1584.9539
Median Absolute Deviation (MAD)725
Skewness0.74673921
Sum49133.57
Variance1403972.1
MonotonicityNot monotonic
2023-12-12T19:14:06.630127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3164.0 1
 
3.2%
1471.0 1
 
3.2%
2480.0 1
 
3.2%
377.0 1
 
3.2%
940.0 1
 
3.2%
1252.0 1
 
3.2%
1674.0 1
 
3.2%
0.57 1
 
3.2%
1034.0 1
 
3.2%
205.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
0.57 1
3.2%
205.0 1
3.2%
234.0 1
3.2%
240.0 1
3.2%
377.0 1
3.2%
468.0 1
3.2%
634.0 1
3.2%
687.0 1
3.2%
695.0 1
3.2%
768.0 1
3.2%
ValueCountFrequency (%)
4277.0 1
3.2%
4083.0 1
3.2%
3223.0 1
3.2%
3164.0 1
3.2%
3140.0 1
3.2%
3073.0 1
3.2%
2806.0 1
3.2%
2480.0 1
3.2%
2251.0 1
3.2%
1952.0 1
3.2%

괌(미)_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87442.022
Minimum72.68
Maximum346651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:06.784781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.68
5-th percentile14129
Q129674.5
median51778
Q3102743
95-th percentile281461
Maximum346651
Range346578.32
Interquartile range (IQR)73068.5

Descriptive statistics

Standard deviation90640.418
Coefficient of variation (CV)1.0365773
Kurtosis2.3968326
Mean87442.022
Median Absolute Deviation (MAD)31152
Skewness1.722249
Sum2710702.7
Variance8.2156854 × 109
MonotonicityNot monotonic
2023-12-12T19:14:06.917228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
57602.0 1
 
3.2%
20626.0 1
 
3.2%
335768.0 1
 
3.2%
29031.0 1
 
3.2%
43654.0 1
 
3.2%
97833.0 1
 
3.2%
142732.0 1
 
3.2%
72.68 1
 
3.2%
63733.0 1
 
3.2%
13497.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
72.68 1
3.2%
13497.0 1
3.2%
14761.0 1
3.2%
19243.0 1
3.2%
20626.0 1
3.2%
21832.0 1
3.2%
25251.0 1
3.2%
29031.0 1
3.2%
30318.0 1
3.2%
31466.0 1
3.2%
ValueCountFrequency (%)
346651.0 1
3.2%
335768.0 1
3.2%
227154.0 1
3.2%
223082.0 1
3.2%
203695.0 1
3.2%
142732.0 1
3.2%
131259.0 1
3.2%
107653.0 1
3.2%
97833.0 1
3.2%
97785.0 1
3.2%

괌(미)_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.975806
Minimum14.02
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:07.080464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.02
5-th percentile15.5
Q126.6
median64.74
Q389.32
95-th percentile133
Maximum136
Range121.98
Interquartile range (IQR)62.72

Descriptive statistics

Standard deviation41.733859
Coefficient of variation (CV)0.64229843
Kurtosis-1.2056103
Mean64.975806
Median Absolute Deviation (MAD)36.93
Skewness0.39863055
Sum2014.25
Variance1741.715
MonotonicityNot monotonic
2023-12-12T19:14:07.213112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
18.21 1
 
3.2%
14.02 1
 
3.2%
135.0 1
 
3.2%
76.95 1
 
3.2%
46.43 1
 
3.2%
78.14 1
 
3.2%
85.25 1
 
3.2%
127.0 1
 
3.2%
61.61 1
 
3.2%
65.95 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
14.02 1
3.2%
14.87 1
3.2%
16.13 1
3.2%
16.74 1
3.2%
18.21 1
3.2%
21.48 1
3.2%
22.42 1
3.2%
25.39 1
3.2%
27.81 1
3.2%
30.34 1
3.2%
ValueCountFrequency (%)
136.0 1
3.2%
135.0 1
3.2%
131.0 1
3.2%
127.0 1
3.2%
126.0 1
3.2%
121.0 1
3.2%
114.0 1
3.2%
93.39 1
3.2%
85.25 1
3.2%
85.04 1
3.2%

호주_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19091.751
Minimum76.27
Maximum83188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:07.359791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.27
5-th percentile568
Q11784.5
median8340
Q334437
95-th percentile61167.5
Maximum83188
Range83111.73
Interquartile range (IQR)32652.5

Descriptive statistics

Standard deviation23179.755
Coefficient of variation (CV)1.2141241
Kurtosis0.53912272
Mean19091.751
Median Absolute Deviation (MAD)7323
Skewness1.2259154
Sum591844.27
Variance5.3730102 × 108
MonotonicityNot monotonic
2023-12-12T19:14:07.487120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
399.0 1
 
3.2%
1309.0 1
 
3.2%
83188.0 1
 
3.2%
44019.0 1
 
3.2%
30551.0 1
 
3.2%
39251.0 1
 
3.2%
49490.0 1
 
3.2%
64171.0 1
 
3.2%
51471.0 1
 
3.2%
58164.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
76.27 1
3.2%
399.0 1
3.2%
737.0 1
3.2%
846.0 1
3.2%
1017.0 1
3.2%
1309.0 1
3.2%
1671.0 1
3.2%
1678.0 1
3.2%
1891.0 1
3.2%
2126.0 1
3.2%
ValueCountFrequency (%)
83188.0 1
3.2%
64171.0 1
3.2%
58164.0 1
3.2%
51471.0 1
3.2%
49490.0 1
3.2%
44019.0 1
3.2%
39251.0 1
3.2%
38323.0 1
3.2%
30551.0 1
3.2%
27781.0 1
3.2%

호주_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1642475.6
Minimum1963
Maximum10982297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:07.618754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1963
5-th percentile11447.5
Q139771
median725317
Q33029426.5
95-th percentile4223955
Maximum10982297
Range10980334
Interquartile range (IQR)2989655.5

Descriptive statistics

Standard deviation2327048.4
Coefficient of variation (CV)1.4167933
Kurtosis7.6238008
Mean1642475.6
Median Absolute Deviation (MAD)711299
Skewness2.3574957
Sum50916743
Variance5.4151542 × 1012
MonotonicityNot monotonic
2023-12-12T19:14:08.151720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10232 1
 
3.2%
14018 1
 
3.2%
10982297 1
 
3.2%
3539008 1
 
3.2%
1507944 1
 
3.2%
2977197 1
 
3.2%
4116687 1
 
3.2%
4235499 1
 
3.2%
2746579 1
 
3.2%
3837900 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1963 1
3.2%
10232 1
3.2%
12663 1
3.2%
14018 1
3.2%
16845 1
3.2%
27018 1
3.2%
28296 1
3.2%
32701 1
3.2%
46841 1
3.2%
47402 1
3.2%
ValueCountFrequency (%)
10982297 1
3.2%
4235499 1
3.2%
4212411 1
3.2%
4116687 1
3.2%
3837900 1
3.2%
3539008 1
3.2%
3398132 1
3.2%
3081656 1
3.2%
2977197 1
3.2%
2746579 1
3.2%

호주_단가
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.099355
Minimum10.71
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:08.325103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.71
5-th percentile15.74
Q125.69
median65.98
Q386.55
95-th percentile127
Maximum132
Range121.29
Interquartile range (IQR)60.86

Descriptive statistics

Standard deviation38.96588
Coefficient of variation (CV)0.6274764
Kurtosis-1.1436913
Mean62.099355
Median Absolute Deviation (MAD)37.94
Skewness0.35656127
Sum1925.08
Variance1518.3398
MonotonicityNot monotonic
2023-12-12T19:14:08.486058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
127.0 2
 
6.5%
25.65 1
 
3.2%
115.0 1
 
3.2%
132.0 1
 
3.2%
80.4 1
 
3.2%
49.36 1
 
3.2%
75.85 1
 
3.2%
83.18 1
 
3.2%
66.0 1
 
3.2%
53.36 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
10.71 1
3.2%
15.38 1
3.2%
16.1 1
3.2%
16.57 1
3.2%
17.19 1
3.2%
20.65 1
3.2%
25.07 1
3.2%
25.65 1
3.2%
25.73 1
3.2%
28.04 1
3.2%
ValueCountFrequency (%)
132.0 1
3.2%
127.0 2
6.5%
122.0 1
3.2%
115.0 1
3.2%
110.0 1
3.2%
92.02 1
3.2%
89.92 1
3.2%
83.18 1
3.2%
81.18 1
3.2%
80.4 1
3.2%

뉴질랜드_물량
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean4485.68
Minimum172
Maximum16999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:08.639299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172
5-th percentile321
Q1954
median2777
Q37027
95-th percentile10064.8
Maximum16999
Range16827
Interquartile range (IQR)6073

Descriptive statistics

Standard deviation4228.1355
Coefficient of variation (CV)0.94258519
Kurtosis1.510776
Mean4485.68
Median Absolute Deviation (MAD)2232
Skewness1.2158931
Sum112142
Variance17877130
MonotonicityNot monotonic
2023-12-12T19:14:08.771286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
172 1
 
3.2%
16999 1
 
3.2%
10052 1
 
3.2%
9515 1
 
3.2%
8136 1
 
3.2%
10068 1
 
3.2%
6976 1
 
3.2%
7803 1
 
3.2%
5828 1
 
3.2%
7027 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
172 1
3.2%
265 1
3.2%
545 1
3.2%
600 1
3.2%
829 1
3.2%
866 1
3.2%
954 1
3.2%
1352 1
3.2%
1416 1
3.2%
1739 1
3.2%
ValueCountFrequency (%)
16999 1
3.2%
10068 1
3.2%
10052 1
3.2%
9515 1
3.2%
8136 1
3.2%
7803 1
3.2%
7027 1
3.2%
6976 1
3.2%
5828 1
3.2%
5157 1
3.2%

뉴질랜드_금액
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean380897.52
Minimum4446
Maximum2171251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:08.894963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4446
5-th percentile8996.2
Q147146
median253351
Q3555305
95-th percentile818448.4
Maximum2171251
Range2166805
Interquartile range (IQR)508159

Descriptive statistics

Standard deviation462945.2
Coefficient of variation (CV)1.2154062
Kurtosis8.8418905
Mean380897.52
Median Absolute Deviation (MAD)228708
Skewness2.55028
Sum9522438
Variance2.1431826 × 1011
MonotonicityNot monotonic
2023-12-12T19:14:09.042849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4446 1
 
3.2%
2171251 1
 
3.2%
778908 1
 
3.2%
505842 1
 
3.2%
604964 1
 
3.2%
821066 1
 
3.2%
466890 1
 
3.2%
409647 1
 
3.2%
389696 1
 
3.2%
807978 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
4446 1
3.2%
7688 1
3.2%
14229 1
3.2%
15248 1
3.2%
24643 1
3.2%
46036 1
3.2%
47146 1
3.2%
51485 1
3.2%
116195 1
3.2%
137312 1
3.2%
ValueCountFrequency (%)
2171251 1
3.2%
821066 1
3.2%
807978 1
3.2%
778908 1
3.2%
624806 1
3.2%
604964 1
3.2%
555305 1
3.2%
505842 1
3.2%
466890 1
3.2%
409647 1
3.2%

뉴질랜드_단가
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean70.7976
Minimum14.91
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:09.165524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.91
5-th percentile26.224
Q146.04
median70.05
Q389.47
95-th percentile123.8
Maximum128
Range113.09
Interquartile range (IQR)43.43

Descriptive statistics

Standard deviation34.289115
Coefficient of variation (CV)0.48432595
Kurtosis-0.95748676
Mean70.7976
Median Absolute Deviation (MAD)24.01
Skewness0.17844821
Sum1769.94
Variance1175.7434
MonotonicityNot monotonic
2023-12-12T19:14:09.284726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
25.79 1
 
3.2%
128.0 1
 
3.2%
77.49 1
 
3.2%
53.16 1
 
3.2%
74.35 1
 
3.2%
81.55 1
 
3.2%
66.93 1
 
3.2%
52.5 1
 
3.2%
66.87 1
 
3.2%
115.0 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
14.91 1
3.2%
25.79 1
3.2%
27.96 1
3.2%
28.45 1
3.2%
29.0 1
3.2%
33.3 1
3.2%
46.04 1
3.2%
52.5 1
3.2%
53.16 1
3.2%
62.11 1
3.2%
ValueCountFrequency (%)
128.0 1
3.2%
124.0 1
3.2%
123.0 1
3.2%
121.0 1
3.2%
115.0 1
3.2%
102.0 1
3.2%
89.47 1
3.2%
81.55 1
3.2%
80.25 1
3.2%
77.49 1
3.2%

북한_물량
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean412.82682
Minimum9.37
Maximum2614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:09.400007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.37
5-th percentile9.445
Q171.845
median130
Q3483.5
95-th percentile1480.15
Maximum2614
Range2604.63
Interquartile range (IQR)411.655

Descriptive statistics

Standard deviation628.54629
Coefficient of variation (CV)1.5225423
Kurtosis6.8739466
Mean412.82682
Median Absolute Deviation (MAD)115.54
Skewness2.5209671
Sum9082.19
Variance395070.44
MonotonicityNot monotonic
2023-12-12T19:14:09.516400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
181.0 1
 
3.2%
9.92 1
 
3.2%
83.31 1
 
3.2%
80.8 1
 
3.2%
48.28 1
 
3.2%
102.0 1
 
3.2%
72.79 1
 
3.2%
71.53 1
 
3.2%
65.21 1
 
3.2%
493.0 1
 
3.2%
Other values (12) 12
38.7%
(Missing) 9
29.0%
ValueCountFrequency (%)
9.37 1
3.2%
9.42 1
3.2%
9.92 1
3.2%
48.28 1
3.2%
65.21 1
3.2%
71.53 1
3.2%
72.79 1
3.2%
76.56 1
3.2%
80.8 1
3.2%
83.31 1
3.2%
ValueCountFrequency (%)
2614.0 1
3.2%
1493.0 1
3.2%
1236.0 1
3.2%
607.0 1
3.2%
493.0 1
3.2%
487.0 1
3.2%
473.0 1
3.2%
470.0 1
3.2%
241.0 1
3.2%
181.0 1
3.2%

북한_금액
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean13404.909
Minimum369
Maximum66715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:09.640143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum369
5-th percentile445.05
Q15957.5
median9121.5
Q315062
95-th percentile39921.8
Maximum66715
Range66346
Interquartile range (IQR)9104.5

Descriptive statistics

Standard deviation15002.789
Coefficient of variation (CV)1.1192011
Kurtosis7.4849238
Mean13404.909
Median Absolute Deviation (MAD)5057.5
Skewness2.5382604
Sum294908
Variance2.2508369 × 108
MonotonicityNot monotonic
2023-12-12T19:14:09.785132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
14369 1
 
3.2%
579 1
 
3.2%
6406 1
 
3.2%
9475 1
 
3.2%
5878 1
 
3.2%
12136 1
 
3.2%
8768 1
 
3.2%
6754 1
 
3.2%
5070 1
 
3.2%
66715 1
 
3.2%
Other values (12) 12
38.7%
(Missing) 9
29.0%
ValueCountFrequency (%)
369 1
3.2%
438 1
3.2%
579 1
3.2%
3834 1
3.2%
5070 1
3.2%
5878 1
3.2%
6196 1
3.2%
6406 1
3.2%
6477 1
3.2%
6754 1
3.2%
ValueCountFrequency (%)
66715 1
3.2%
40739 1
3.2%
24395 1
3.2%
19720 1
3.2%
16814 1
3.2%
15293 1
3.2%
14369 1
3.2%
13989 1
3.2%
12136 1
3.2%
10494 1
3.2%

북한_단가
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean63.817273
Minimum13.19
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:09.909282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.19
5-th percentile13.6995
Q125.63
median60.915
Q391.965
95-th percentile121.9
Maximum135
Range121.81
Interquartile range (IQR)66.335

Descriptive statistics

Standard deviation41.107288
Coefficient of variation (CV)0.64414048
Kurtosis-1.3004509
Mean63.817273
Median Absolute Deviation (MAD)35.05
Skewness0.29316177
Sum1403.98
Variance1689.8092
MonotonicityNot monotonic
2023-12-12T19:14:10.025013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
79.18 1
 
3.2%
58.38 1
 
3.2%
76.89 1
 
3.2%
117.0 1
 
3.2%
122.0 1
 
3.2%
119.0 1
 
3.2%
120.0 1
 
3.2%
94.42 1
 
3.2%
77.74 1
 
3.2%
135.0 1
 
3.2%
Other values (12) 12
38.7%
(Missing) 9
29.0%
ValueCountFrequency (%)
13.19 1
3.2%
13.6 1
3.2%
15.59 1
3.2%
16.34 1
3.2%
17.29 1
3.2%
24.32 1
3.2%
29.56 1
3.2%
39.18 1
3.2%
40.53 1
3.2%
46.72 1
3.2%
ValueCountFrequency (%)
135.0 1
3.2%
122.0 1
3.2%
120.0 1
3.2%
119.0 1
3.2%
117.0 1
3.2%
94.42 1
3.2%
84.6 1
3.2%
79.18 1
3.2%
77.74 1
3.2%
76.89 1
3.2%

베트남_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9324.1613
Minimum1282
Maximum28954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:10.135347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1282
5-th percentile1677.5
Q13111.5
median6108
Q311565.5
95-th percentile27713
Maximum28954
Range27672
Interquartile range (IQR)8454

Descriptive statistics

Standard deviation8481.9792
Coefficient of variation (CV)0.90967744
Kurtosis0.49884615
Mean9324.1613
Median Absolute Deviation (MAD)3676
Skewness1.2925871
Sum289049
Variance71943970
MonotonicityNot monotonic
2023-12-12T19:14:10.271469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1596 1
 
3.2%
4435 1
 
3.2%
28954 1
 
3.2%
12496 1
 
3.2%
23202 1
 
3.2%
27168 1
 
3.2%
23226 1
 
3.2%
28258 1
 
3.2%
18109 1
 
3.2%
4288 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1282 1
3.2%
1596 1
3.2%
1759 1
3.2%
2197 1
3.2%
2356 1
3.2%
2396 1
3.2%
2432 1
3.2%
2570 1
3.2%
3653 1
3.2%
3824 1
3.2%
ValueCountFrequency (%)
28954 1
3.2%
28258 1
3.2%
27168 1
3.2%
23226 1
3.2%
23202 1
3.2%
18109 1
3.2%
12496 1
3.2%
11864 1
3.2%
11267 1
3.2%
9765 1
3.2%

베트남_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean718214.13
Minimum30572
Maximum3637762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:10.431032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30572
5-th percentile31910.5
Q181156.5
median520570
Q31044916
95-th percentile1957933.5
Maximum3637762
Range3607190
Interquartile range (IQR)963759.5

Descriptive statistics

Standard deviation812443.64
Coefficient of variation (CV)1.1311998
Kurtosis4.3374083
Mean718214.13
Median Absolute Deviation (MAD)452787
Skewness1.8185708
Sum22264638
Variance6.6006468 × 1011
MonotonicityNot monotonic
2023-12-12T19:14:10.617593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
36975 1
 
3.2%
101967 1
 
3.2%
3637762 1
 
3.2%
966652 1
 
3.2%
1115594 1
 
3.2%
2019386 1
 
3.2%
1894355 1
 
3.2%
1896481 1
 
3.2%
1013673 1
 
3.2%
276498 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
30572 1
3.2%
31826 1
3.2%
31995 1
3.2%
36975 1
3.2%
49731 1
3.2%
56692 1
3.2%
67783 1
3.2%
74503 1
3.2%
87810 1
3.2%
101967 1
3.2%
ValueCountFrequency (%)
3637762 1
3.2%
2019386 1
3.2%
1896481 1
3.2%
1894355 1
3.2%
1421019 1
3.2%
1126032 1
3.2%
1115594 1
3.2%
1076159 1
3.2%
1013673 1
3.2%
972115 1
3.2%

베트남_단가
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.683226
Minimum14.56
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:10.841353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.56
5-th percentile18.885
Q125.565
median62.17
Q381.75
95-th percentile125.5
Maximum126
Range111.44
Interquartile range (IQR)56.185

Descriptive statistics

Standard deviation37.427481
Coefficient of variation (CV)0.60676919
Kurtosis-1.055714
Mean61.683226
Median Absolute Deviation (MAD)34.82
Skewness0.455905
Sum1912.18
Variance1400.8163
MonotonicityNot monotonic
2023-12-12T19:14:10.992646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
126.0 2
 
6.5%
23.17 1
 
3.2%
77.35 1
 
3.2%
48.08 1
 
3.2%
74.33 1
 
3.2%
81.56 1
 
3.2%
67.11 1
 
3.2%
55.98 1
 
3.2%
64.49 1
 
3.2%
116.0 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
14.56 1
3.2%
17.38 1
3.2%
20.39 1
3.2%
21.11 1
3.2%
22.99 1
3.2%
23.17 1
3.2%
23.31 1
3.2%
24.83 1
3.2%
26.3 1
3.2%
27.35 1
3.2%
ValueCountFrequency (%)
126.0 2
6.5%
125.0 1
3.2%
121.0 1
3.2%
117.0 1
3.2%
116.0 1
3.2%
87.72 1
3.2%
81.94 1
3.2%
81.56 1
3.2%
77.35 1
3.2%
77.25 1
3.2%

미얀마_물량
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean670.58786
Minimum0.12
Maximum3279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:11.136127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.432
Q11.3125
median3.435
Q3627.25
95-th percentile3079.45
Maximum3279
Range3278.88
Interquartile range (IQR)625.9375

Descriptive statistics

Standard deviation1199.9705
Coefficient of variation (CV)1.7894307
Kurtosis0.97079788
Mean670.58786
Median Absolute Deviation (MAD)2.72
Skewness1.5890629
Sum9388.23
Variance1439929.2
MonotonicityNot monotonic
2023-12-12T19:14:11.274974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
789.0 1
 
3.2%
2188.0 1
 
3.2%
3279.0 1
 
3.2%
2972.0 1
 
3.2%
0.12 1
 
3.2%
142.0 1
 
3.2%
0.6 1
 
3.2%
0.83 1
 
3.2%
1.89 1
 
3.2%
4.99 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
0.12 1
3.2%
0.6 1
3.2%
0.83 1
3.2%
1.16 1
3.2%
1.77 1
3.2%
1.89 1
3.2%
2.59 1
3.2%
4.28 1
3.2%
4.99 1
3.2%
142.0 1
3.2%
ValueCountFrequency (%)
3279.0 1
3.2%
2972.0 1
3.2%
2188.0 1
3.2%
789.0 1
3.2%
142.0 1
3.2%
4.99 1
3.2%
4.28 1
3.2%
2.59 1
3.2%
1.89 1
3.2%
1.77 1
3.2%

미얀마_금액
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean18265.487
Minimum12.07
Maximum102704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:11.410103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.07
5-th percentile45.7725
Q1154.75
median367
Q315226.5
95-th percentile90118.05
Maximum102704
Range102691.93
Interquartile range (IQR)15071.75

Descriptive statistics

Standard deviation33743.464
Coefficient of variation (CV)1.8473892
Kurtosis2.7606471
Mean18265.487
Median Absolute Deviation (MAD)290.625
Skewness1.9483485
Sum255716.82
Variance1.1386213 × 109
MonotonicityNot monotonic
2023-12-12T19:14:11.576787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
11745.0 1
 
3.2%
39648.0 1
 
3.2%
102704.0 1
 
3.2%
83341.0 1
 
3.2%
12.07 1
 
3.2%
16387.0 1
 
3.2%
88.83 1
 
3.2%
63.92 1
 
3.2%
190.0 1
 
3.2%
453.0 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
12.07 1
3.2%
63.92 1
3.2%
88.83 1
3.2%
143.0 1
3.2%
190.0 1
3.2%
207.0 1
3.2%
308.0 1
3.2%
426.0 1
3.2%
453.0 1
3.2%
11745.0 1
3.2%
ValueCountFrequency (%)
102704.0 1
3.2%
83341.0 1
3.2%
39648.0 1
3.2%
16387.0 1
3.2%
11745.0 1
3.2%
453.0 1
3.2%
426.0 1
3.2%
308.0 1
3.2%
207.0 1
3.2%
190.0 1
3.2%

미얀마_단가
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean85.571429
Minimum14.88
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:11.706252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.88
5-th percentile16.986
Q142.8575
median94.165
Q3111.35
95-th percentile156.45
Maximum174
Range159.12
Interquartile range (IQR)68.4925

Descriptive statistics

Standard deviation48.369977
Coefficient of variation (CV)0.5652585
Kurtosis-0.6280459
Mean85.571429
Median Absolute Deviation (MAD)25.335
Skewness0.0019337089
Sum1198
Variance2339.6547
MonotonicityNot monotonic
2023-12-12T19:14:11.820771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
14.88 1
 
3.2%
18.12 1
 
3.2%
31.33 1
 
3.2%
28.04 1
 
3.2%
97.5 1
 
3.2%
115.0 1
 
3.2%
147.0 1
 
3.2%
77.44 1
 
3.2%
100.4 1
 
3.2%
90.83 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
14.88 1
3.2%
18.12 1
3.2%
28.04 1
3.2%
31.33 1
3.2%
77.44 1
3.2%
79.98 1
3.2%
90.83 1
3.2%
97.5 1
3.2%
99.48 1
3.2%
100.4 1
3.2%
ValueCountFrequency (%)
174.0 1
3.2%
147.0 1
3.2%
124.0 1
3.2%
115.0 1
3.2%
100.4 1
3.2%
99.48 1
3.2%
97.5 1
3.2%
90.83 1
3.2%
79.98 1
3.2%
77.44 1
3.2%

파푸아뉴기니_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean362.25
Minimum28.3
Maximum1245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:11.952376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.3
5-th percentile31.145
Q159.73
median266
Q3490.5
95-th percentile1058
Maximum1245
Range1216.7
Interquartile range (IQR)430.77

Descriptive statistics

Standard deviation400.19916
Coefficient of variation (CV)1.1047596
Kurtosis1.0317381
Mean362.25
Median Absolute Deviation (MAD)229.43
Skewness1.356828
Sum3984.75
Variance160159.36
MonotonicityNot monotonic
2023-12-12T19:14:12.061622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
283.0 1
 
3.2%
33.99 1
 
3.2%
36.57 1
 
3.2%
304.0 1
 
3.2%
82.89 1
 
3.2%
871.0 1
 
3.2%
1245.0 1
 
3.2%
266.0 1
 
3.2%
28.3 1
 
3.2%
157.0 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
28.3 1
3.2%
33.99 1
3.2%
36.57 1
3.2%
82.89 1
3.2%
157.0 1
3.2%
266.0 1
3.2%
283.0 1
3.2%
304.0 1
3.2%
677.0 1
3.2%
871.0 1
3.2%
ValueCountFrequency (%)
1245.0 1
3.2%
871.0 1
3.2%
677.0 1
3.2%
304.0 1
3.2%
283.0 1
3.2%
266.0 1
3.2%
157.0 1
3.2%
82.89 1
3.2%
36.57 1
3.2%
33.99 1
3.2%

파푸아뉴기니_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean31387.364
Minimum2106
Maximum98805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:12.174597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2106
5-th percentile2361
Q15426.5
median13401
Q354977.5
95-th percentile91032
Maximum98805
Range96699
Interquartile range (IQR)49551

Descriptive statistics

Standard deviation37266.293
Coefficient of variation (CV)1.1873024
Kurtosis-0.64451309
Mean31387.364
Median Absolute Deviation (MAD)10785
Skewness1.1043111
Sum345261
Variance1.3887766 × 109
MonotonicityNot monotonic
2023-12-12T19:14:12.287746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
8032 1
 
3.2%
2821 1
 
3.2%
2616 1
 
3.2%
28305 1
 
3.2%
10640 1
 
3.2%
98805 1
 
3.2%
83259 1
 
3.2%
13626 1
 
3.2%
2106 1
 
3.2%
13401 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
2106 1
3.2%
2616 1
3.2%
2821 1
3.2%
8032 1
3.2%
10640 1
3.2%
13401 1
3.2%
13626 1
3.2%
28305 1
3.2%
81650 1
3.2%
83259 1
3.2%
ValueCountFrequency (%)
98805 1
3.2%
83259 1
3.2%
81650 1
3.2%
28305 1
3.2%
13626 1
3.2%
13401 1
3.2%
10640 1
3.2%
8032 1
3.2%
2821 1
3.2%
2616 1
3.2%

파푸아뉴기니_단가
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean83.245455
Minimum28.36
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:12.426420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.36
5-th percentile39.83
Q169.19
median83
Q3102.99
95-th percentile124.5
Maximum128
Range99.64
Interquartile range (IQR)33.8

Descriptive statistics

Standard deviation29.881691
Coefficient of variation (CV)0.35895883
Kurtosis-0.24623002
Mean83.245455
Median Absolute Deviation (MAD)16.14
Skewness-0.15530531
Sum915.7
Variance892.91547
MonotonicityNot monotonic
2023-12-12T19:14:12.558568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
28.36 1
 
3.2%
83.0 1
 
3.2%
71.52 1
 
3.2%
92.98 1
 
3.2%
128.0 1
 
3.2%
113.0 1
 
3.2%
66.86 1
 
3.2%
51.3 1
 
3.2%
74.43 1
 
3.2%
85.25 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
28.36 1
3.2%
51.3 1
3.2%
66.86 1
3.2%
71.52 1
3.2%
74.43 1
3.2%
83.0 1
3.2%
85.25 1
3.2%
92.98 1
3.2%
113.0 1
3.2%
121.0 1
3.2%
ValueCountFrequency (%)
128.0 1
3.2%
121.0 1
3.2%
113.0 1
3.2%
92.98 1
3.2%
85.25 1
3.2%
83.0 1
3.2%
74.43 1
3.2%
71.52 1
3.2%
66.86 1
3.2%
51.3 1
3.2%

피지_물량
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean1489.5688
Minimum10
Maximum4448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:12.680840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26.992
Q174.99
median1829
Q32532
95-th percentile3665.6
Maximum4448
Range4438
Interquartile range (IQR)2457.01

Descriptive statistics

Standard deviation1464.5825
Coefficient of variation (CV)0.98322581
Kurtosis-1.0918933
Mean1489.5688
Median Absolute Deviation (MAD)1615
Skewness0.41420634
Sum25322.67
Variance2145001.9
MonotonicityNot monotonic
2023-12-12T19:14:12.840194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
239.0 1
 
3.2%
2103.0 1
 
3.2%
1829.0 1
 
3.2%
2494.0 1
 
3.2%
3470.0 1
 
3.2%
2283.0 1
 
3.2%
2532.0 1
 
3.2%
2801.0 1
 
3.2%
10.0 1
 
3.2%
2575.0 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
10.0 1
3.2%
31.24 1
3.2%
46.77 1
3.2%
69.67 1
3.2%
74.99 1
3.2%
102.0 1
3.2%
214.0 1
3.2%
239.0 1
3.2%
1829.0 1
3.2%
2103.0 1
3.2%
ValueCountFrequency (%)
4448.0 1
3.2%
3470.0 1
3.2%
2801.0 1
3.2%
2575.0 1
3.2%
2532.0 1
3.2%
2494.0 1
3.2%
2283.0 1
3.2%
2103.0 1
3.2%
1829.0 1
3.2%
239.0 1
3.2%

피지_금액
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean111274.59
Minimum229
Maximum281362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:12.959599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum229
5-th percentile900.2
Q16567
median119344
Q3191167
95-th percentile273492.4
Maximum281362
Range281133
Interquartile range (IQR)184600

Descriptive statistics

Standard deviation111704.68
Coefficient of variation (CV)1.0038652
Kurtosis-1.534481
Mean111274.59
Median Absolute Deviation (MAD)112777
Skewness0.40123436
Sum1891668
Variance1.2477936 × 1010
MonotonicityNot monotonic
2023-12-12T19:14:13.110585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6567 1
 
3.2%
271525 1
 
3.2%
148320 1
 
3.2%
119344 1
 
3.2%
259867 1
 
3.2%
191167 1
 
3.2%
160372 1
 
3.2%
132363 1
 
3.2%
229 1
 
3.2%
270171 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
229 1
3.2%
1068 1
3.2%
3594 1
3.2%
5730 1
3.2%
6567 1
3.2%
6954 1
3.2%
13512 1
3.2%
19523 1
3.2%
119344 1
3.2%
132363 1
3.2%
ValueCountFrequency (%)
281362 1
3.2%
271525 1
3.2%
270171 1
3.2%
259867 1
3.2%
191167 1
3.2%
160372 1
3.2%
148320 1
3.2%
132363 1
3.2%
119344 1
3.2%
19523 1
3.2%

피지_단가
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean73.902941
Minimum22.94
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:13.266249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.94
5-th percentile26.596
Q147.85
median76.41
Q391.19
95-th percentile129.6
Maximum132
Range109.06
Interquartile range (IQR)43.34

Descriptive statistics

Standard deviation32.067828
Coefficient of variation (CV)0.43391816
Kurtosis-0.47493706
Mean73.902941
Median Absolute Deviation (MAD)23.41
Skewness0.17943606
Sum1256.35
Variance1028.3456
MonotonicityNot monotonic
2023-12-12T19:14:13.422622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
27.51 1
 
3.2%
129.0 1
 
3.2%
81.1 1
 
3.2%
47.85 1
 
3.2%
74.89 1
 
3.2%
83.75 1
 
3.2%
63.33 1
 
3.2%
47.26 1
 
3.2%
22.94 1
 
3.2%
105.0 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
22.94 1
3.2%
27.51 1
3.2%
34.19 1
3.2%
47.26 1
3.2%
47.85 1
3.2%
63.26 1
3.2%
63.33 1
3.2%
74.89 1
3.2%
76.41 1
3.2%
76.85 1
3.2%
ValueCountFrequency (%)
132.0 1
3.2%
129.0 1
3.2%
105.0 1
3.2%
99.82 1
3.2%
91.19 1
3.2%
83.75 1
3.2%
81.1 1
3.2%
76.85 1
3.2%
76.41 1
3.2%
74.89 1
3.2%

러시아_물량
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean515.59962
Minimum27.32
Maximum2550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:13.569314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.32
5-th percentile70.7225
Q196.66
median236.5
Q3750.75
95-th percentile1746.75
Maximum2550
Range2522.68
Interquartile range (IQR)654.09

Descriptive statistics

Standard deviation638.42279
Coefficient of variation (CV)1.2382142
Kurtosis3.4096465
Mean515.59962
Median Absolute Deviation (MAD)161.8
Skewness1.9023978
Sum13405.59
Variance407583.66
MonotonicityNot monotonic
2023-12-12T19:14:13.773394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95.49 1
 
3.2%
139.0 1
 
3.2%
89.4 1
 
3.2%
187.0 1
 
3.2%
115.0 1
 
3.2%
71.21 1
 
3.2%
27.32 1
 
3.2%
1017.0 1
 
3.2%
337.0 1
 
3.2%
286.0 1
 
3.2%
Other values (16) 16
51.6%
(Missing) 5
 
16.1%
ValueCountFrequency (%)
27.32 1
3.2%
70.56 1
3.2%
71.21 1
3.2%
78.19 1
3.2%
86.25 1
3.2%
89.4 1
3.2%
95.49 1
3.2%
100.17 1
3.2%
115.0 1
3.2%
119.0 1
3.2%
ValueCountFrequency (%)
2550.0 1
3.2%
1748.0 1
3.2%
1743.0 1
3.2%
1017.0 1
3.2%
925.0 1
3.2%
867.0 1
3.2%
795.0 1
3.2%
618.0 1
3.2%
480.0 1
3.2%
432.0 1
3.2%

러시아_금액
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean19359.769
Minimum2105
Maximum122247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:13.908975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2105
5-th percentile2562.5
Q15209.5
median12067
Q324423.75
95-th percentile48606.5
Maximum122247
Range120142
Interquartile range (IQR)19214.25

Descriptive statistics

Standard deviation24331.742
Coefficient of variation (CV)1.2568198
Kurtosis13.149506
Mean19359.769
Median Absolute Deviation (MAD)7727.5
Skewness3.3133922
Sum503354
Variance5.9203367 × 108
MonotonicityNot monotonic
2023-12-12T19:14:14.046203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7842 1
 
3.2%
11856 1
 
3.2%
4016 1
 
3.2%
13597 1
 
3.2%
8489 1
 
3.2%
4678 1
 
3.2%
2105 1
 
3.2%
122247 1
 
3.2%
34150 1
 
3.2%
21579 1
 
3.2%
Other values (16) 16
51.6%
(Missing) 5
 
16.1%
ValueCountFrequency (%)
2105 1
3.2%
2148 1
3.2%
3806 1
3.2%
3838 1
3.2%
4016 1
3.2%
4663 1
3.2%
4678 1
3.2%
6804 1
3.2%
7842 1
3.2%
8489 1
3.2%
ValueCountFrequency (%)
122247 1
3.2%
53289 1
3.2%
34559 1
3.2%
34150 1
3.2%
27752 1
3.2%
26301 1
3.2%
25372 1
3.2%
21579 1
3.2%
18465 1
3.2%
16216 1
3.2%

러시아_단가
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean54.319231
Minimum15.09
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:14.200421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.09
5-th percentile18.9675
Q124.125
median54.23
Q376.6475
95-th percentile100.775
Maximum120
Range104.91
Interquartile range (IQR)52.5225

Descriptive statistics

Standard deviation30.522341
Coefficient of variation (CV)0.56190672
Kurtosis-0.95088042
Mean54.319231
Median Absolute Deviation (MAD)27.325
Skewness0.37411944
Sum1412.3
Variance931.61329
MonotonicityNot monotonic
2023-12-12T19:14:14.340660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
82.12 1
 
3.2%
85.55 1
 
3.2%
44.92 1
 
3.2%
72.89 1
 
3.2%
74.08 1
 
3.2%
65.7 1
 
3.2%
77.06 1
 
3.2%
120.0 1
 
3.2%
101.0 1
 
3.2%
75.41 1
 
3.2%
Other values (16) 16
51.6%
(Missing) 5
 
16.1%
ValueCountFrequency (%)
15.09 1
3.2%
18.7 1
3.2%
19.77 1
3.2%
19.96 1
3.2%
20.89 1
3.2%
23.24 1
3.2%
23.71 1
3.2%
25.37 1
3.2%
27.47 1
3.2%
34.92 1
3.2%
ValueCountFrequency (%)
120.0 1
3.2%
101.0 1
3.2%
100.1 1
3.2%
85.55 1
3.2%
82.12 1
3.2%
79.1 1
3.2%
77.06 1
3.2%
75.41 1
3.2%
74.08 1
3.2%
72.89 1
3.2%

사모아_물량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean123.27917
Minimum1.24
Maximum384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:14.479366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.24
5-th percentile4.1385
Q137.9575
median84.98
Q3157
95-th percentile338.9
Maximum384
Range382.76
Interquartile range (IQR)119.0425

Descriptive statistics

Standard deviation122.22327
Coefficient of variation (CV)0.99143493
Kurtosis0.44256874
Mean123.27917
Median Absolute Deviation (MAD)47.19
Skewness1.161306
Sum1479.35
Variance14938.528
MonotonicityNot monotonic
2023-12-12T19:14:14.658490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.24 1
 
3.2%
6.51 1
 
3.2%
38.07 1
 
3.2%
37.62 1
 
3.2%
70.39 1
 
3.2%
132.0 1
 
3.2%
99.57 1
 
3.2%
232.0 1
 
3.2%
302.0 1
 
3.2%
384.0 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
1.24 1
3.2%
6.51 1
3.2%
37.62 1
3.2%
38.07 1
3.2%
45.95 1
3.2%
70.39 1
3.2%
99.57 1
3.2%
130.0 1
3.2%
132.0 1
3.2%
232.0 1
3.2%
ValueCountFrequency (%)
384.0 1
3.2%
302.0 1
3.2%
232.0 1
3.2%
132.0 1
3.2%
130.0 1
3.2%
99.57 1
3.2%
70.39 1
3.2%
45.95 1
3.2%
38.07 1
3.2%
37.62 1
3.2%

사모아_금액
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean10712.733
Minimum30.8
Maximum38874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:14.806528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.8
5-th percentile104.61
Q1894.25
median4828
Q312800
95-th percentile36511.75
Maximum38874
Range38843.2
Interquartile range (IQR)11905.75

Descriptive statistics

Standard deviation13787.713
Coefficient of variation (CV)1.2870397
Kurtosis0.46494623
Mean10712.733
Median Absolute Deviation (MAD)4217.5
Skewness1.3631691
Sum128552.8
Variance1.9010102 × 108
MonotonicityNot monotonic
2023-12-12T19:14:14.953939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
30.8 1
 
3.2%
165.0 1
 
3.2%
787.0 1
 
3.2%
930.0 1
 
3.2%
2732.0 1
 
3.2%
9222.0 1
 
3.2%
8043.0 1
 
3.2%
23534.0 1
 
3.2%
38874.0 1
 
3.2%
34579.0 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
30.8 1
3.2%
165.0 1
3.2%
787.0 1
3.2%
930.0 1
3.2%
2732.0 1
3.2%
3782.0 1
3.2%
5874.0 1
3.2%
8043.0 1
3.2%
9222.0 1
3.2%
23534.0 1
3.2%
ValueCountFrequency (%)
38874.0 1
3.2%
34579.0 1
3.2%
23534.0 1
3.2%
9222.0 1
3.2%
8043.0 1
3.2%
5874.0 1
3.2%
3782.0 1
3.2%
2732.0 1
3.2%
930.0 1
3.2%
787.0 1
3.2%

사모아_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean61.0425
Minimum20.67
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:15.094050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.67
5-th percentile22.8975
Q125.215
median57.46
Q384.2575
95-th percentile113.6
Maximum129
Range108.33
Interquartile range (IQR)59.0425

Descriptive statistics

Standard deviation36.009955
Coefficient of variation (CV)0.58991613
Kurtosis-0.94041892
Mean61.0425
Median Absolute Deviation (MAD)32.37
Skewness0.46370309
Sum732.51
Variance1296.7169
MonotonicityNot monotonic
2023-12-12T19:14:15.211773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
24.84 1
 
3.2%
25.34 1
 
3.2%
20.67 1
 
3.2%
24.72 1
 
3.2%
38.81 1
 
3.2%
69.85 1
 
3.2%
80.78 1
 
3.2%
101.0 1
 
3.2%
129.0 1
 
3.2%
90.13 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
20.67 1
3.2%
24.72 1
3.2%
24.84 1
3.2%
25.34 1
3.2%
38.81 1
3.2%
45.07 1
3.2%
69.85 1
3.2%
80.78 1
3.2%
82.3 1
3.2%
90.13 1
3.2%
ValueCountFrequency (%)
129.0 1
3.2%
101.0 1
3.2%
90.13 1
3.2%
82.3 1
3.2%
80.78 1
3.2%
69.85 1
3.2%
45.07 1
3.2%
38.81 1
3.2%
25.34 1
3.2%
24.84 1
3.2%

카자흐스탄_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
1.42
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
1.42 1
 
3.2%

Length

2023-12-12T19:14:15.341725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:15.445734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
1.42 1
 
3.2%

카자흐스탄_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
193
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
193 1
 
3.2%

Length

2023-12-12T19:14:15.558148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:15.668465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
193 1
 
3.2%

카자흐스탄_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
135
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
135 1
 
3.2%

Length

2023-12-12T19:14:15.830015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:15.985475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
135 1
 
3.2%

우즈베키스탄_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
659
 
2

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
659 2
 
6.5%

Length

2023-12-12T19:14:16.096943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:16.188772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
659 2
 
6.5%

우즈베키스탄_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
64113
 
1
72282
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
64113 1
 
3.2%
72282 1
 
3.2%

Length

2023-12-12T19:14:16.632971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:16.736650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
64113 1
 
3.2%
72282 1
 
3.2%

우즈베키스탄_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
97.32
 
1
110.0
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
97.32 1
 
3.2%
110.0 1
 
3.2%

Length

2023-12-12T19:14:16.882024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:16.979186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
97.32 1
 
3.2%
110.0 1
 
3.2%

타히티(프)_물량
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean793.77929
Minimum2.79
Maximum1842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:17.068668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.79
5-th percentile3.5895
Q173.6125
median525.5
Q31483
95-th percentile1807.55
Maximum1842
Range1839.21
Interquartile range (IQR)1409.3875

Descriptive statistics

Standard deviation736.93973
Coefficient of variation (CV)0.92839375
Kurtosis-1.8563022
Mean793.77929
Median Absolute Deviation (MAD)522.095
Skewness0.25463586
Sum11112.91
Variance543080.16
MonotonicityNot monotonic
2023-12-12T19:14:17.171455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4.95 1
 
3.2%
8.15 1
 
3.2%
4.02 1
 
3.2%
2.79 1
 
3.2%
270.0 1
 
3.2%
1842.0 1
 
3.2%
1477.0 1
 
3.2%
1586.0 1
 
3.2%
305.0 1
 
3.2%
1789.0 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
2.79 1
3.2%
4.02 1
3.2%
4.95 1
3.2%
8.15 1
3.2%
270.0 1
3.2%
305.0 1
3.2%
461.0 1
3.2%
590.0 1
3.2%
1288.0 1
3.2%
1477.0 1
3.2%
ValueCountFrequency (%)
1842.0 1
3.2%
1789.0 1
3.2%
1586.0 1
3.2%
1485.0 1
3.2%
1477.0 1
3.2%
1288.0 1
3.2%
590.0 1
3.2%
461.0 1
3.2%
305.0 1
3.2%
270.0 1
3.2%

타히티(프)_금액
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean71244.107
Minimum94.5
Maximum212381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:17.290265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.5
5-th percentile99.375
Q17213.75
median51387
Q3121483
95-th percentile199629.3
Maximum212381
Range212286.5
Interquartile range (IQR)114269.25

Descriptive statistics

Standard deviation71888.324
Coefficient of variation (CV)1.0090424
Kurtosis-0.41255751
Mean71244.107
Median Absolute Deviation (MAD)51221
Skewness0.81831983
Sum997417.5
Variance5.1679311 × 109
MonotonicityNot monotonic
2023-12-12T19:14:17.407024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
102.0 1
 
3.2%
182.0 1
 
3.2%
150.0 1
 
3.2%
94.5 1
 
3.2%
30370.0 1
 
3.2%
129464.0 1
 
3.2%
129196.0 1
 
3.2%
192763.0 1
 
3.2%
35900.0 1
 
3.2%
212381.0 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
94.5 1
3.2%
102.0 1
3.2%
150.0 1
3.2%
182.0 1
3.2%
28309.0 1
3.2%
30370.0 1
3.2%
35900.0 1
3.2%
66874.0 1
3.2%
73288.0 1
3.2%
98344.0 1
3.2%
ValueCountFrequency (%)
212381.0 1
3.2%
192763.0 1
3.2%
129464.0 1
3.2%
129196.0 1
3.2%
98344.0 1
3.2%
73288.0 1
3.2%
66874.0 1
3.2%
35900.0 1
3.2%
30370.0 1
3.2%
28309.0 1
3.2%

타히티(프)_단가
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean74.813571
Minimum20.7
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:17.531538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.7
5-th percentile21.74
Q140.8525
median68.27
Q3116.75
95-th percentile122.7
Maximum124
Range103.3
Interquartile range (IQR)75.8975

Descriptive statistics

Standard deviation38.884473
Coefficient of variation (CV)0.5197516
Kurtosis-1.6167589
Mean74.813571
Median Absolute Deviation (MAD)39.535
Skewness0.012901049
Sum1047.39
Variance1512.0023
MonotonicityNot monotonic
2023-12-12T19:14:17.657179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20.7 1
 
3.2%
22.3 1
 
3.2%
37.16 1
 
3.2%
33.93 1
 
3.2%
113.0 1
 
3.2%
70.3 1
 
3.2%
87.48 1
 
3.2%
122.0 1
 
3.2%
118.0 1
 
3.2%
119.0 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
20.7 1
3.2%
22.3 1
3.2%
33.93 1
3.2%
37.16 1
3.2%
51.93 1
3.2%
61.35 1
3.2%
66.24 1
3.2%
70.3 1
3.2%
87.48 1
3.2%
113.0 1
3.2%
ValueCountFrequency (%)
124.0 1
3.2%
122.0 1
3.2%
119.0 1
3.2%
118.0 1
3.2%
113.0 1
3.2%
87.48 1
3.2%
70.3 1
3.2%
66.24 1
3.2%
61.35 1
3.2%
51.93 1
3.2%

뉴칼레도니아_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean1017.3636
Minimum141
Maximum2661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:17.791636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum141
5-th percentile146
Q1375
median959
Q31322
95-th percentile2273
Maximum2661
Range2520
Interquartile range (IQR)947

Descriptive statistics

Standard deviation783.25759
Coefficient of variation (CV)0.76988951
Kurtosis0.40754911
Mean1017.3636
Median Absolute Deviation (MAD)570
Skewness0.83784712
Sum11191
Variance613492.45
MonotonicityNot monotonic
2023-12-12T19:14:17.925394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
735 1
 
3.2%
389 1
 
3.2%
141 1
 
3.2%
151 1
 
3.2%
1885 1
 
3.2%
959 1
 
3.2%
2661 1
 
3.2%
1266 1
 
3.2%
1265 1
 
3.2%
1378 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
141 1
3.2%
151 1
3.2%
361 1
3.2%
389 1
3.2%
735 1
3.2%
959 1
3.2%
1265 1
3.2%
1266 1
3.2%
1378 1
3.2%
1885 1
3.2%
ValueCountFrequency (%)
2661 1
3.2%
1885 1
3.2%
1378 1
3.2%
1266 1
3.2%
1265 1
3.2%
959 1
3.2%
735 1
3.2%
389 1
3.2%
361 1
3.2%
151 1
3.2%

뉴칼레도니아_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean75649.182
Minimum3382
Maximum232835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:18.079850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3382
5-th percentile5160.5
Q113998
median66450
Q3108753
95-th percentile202695.5
Maximum232835
Range229453
Interquartile range (IQR)94755

Descriptive statistics

Standard deviation75208.2
Coefficient of variation (CV)0.9941707
Kurtosis0.34310016
Mean75649.182
Median Absolute Deviation (MAD)51107
Skewness1.030028
Sum832141
Variance5.6562733 × 109
MonotonicityNot monotonic
2023-12-12T19:14:18.211206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6939 1
 
3.2%
3382 1
 
3.2%
11069 1
 
3.2%
16927 1
 
3.2%
232835 1
 
3.2%
99949 1
 
3.2%
172556 1
 
3.2%
66450 1
 
3.2%
78453 1
 
3.2%
117557 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
3382 1
3.2%
6939 1
3.2%
11069 1
3.2%
16927 1
3.2%
26024 1
3.2%
66450 1
3.2%
78453 1
3.2%
99949 1
3.2%
117557 1
3.2%
172556 1
3.2%
ValueCountFrequency (%)
232835 1
3.2%
172556 1
3.2%
117557 1
3.2%
99949 1
3.2%
78453 1
3.2%
66450 1
3.2%
26024 1
3.2%
16927 1
3.2%
11069 1
3.2%
6939 1
3.2%

뉴칼레도니아_단가
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean70.189091
Minimum8.69
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:18.328104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.69
5-th percentile9.07
Q157.25
median72.01
Q394.64
95-th percentile117.5
Maximum123
Range114.31
Interquartile range (IQR)37.39

Descriptive statistics

Standard deviation37.225362
Coefficient of variation (CV)0.53035822
Kurtosis-0.32709256
Mean70.189091
Median Absolute Deviation (MAD)19.51
Skewness-0.4736493
Sum772.08
Variance1385.7275
MonotonicityNot monotonic
2023-12-12T19:14:18.446175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
9.45 1
 
3.2%
8.69 1
 
3.2%
78.31 1
 
3.2%
112.0 1
 
3.2%
123.0 1
 
3.2%
104.0 1
 
3.2%
64.84 1
 
3.2%
52.5 1
 
3.2%
62.0 1
 
3.2%
85.28 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
8.69 1
3.2%
9.45 1
3.2%
52.5 1
3.2%
62.0 1
3.2%
64.84 1
3.2%
72.01 1
3.2%
78.31 1
3.2%
85.28 1
3.2%
104.0 1
3.2%
112.0 1
3.2%
ValueCountFrequency (%)
123.0 1
3.2%
112.0 1
3.2%
104.0 1
3.2%
85.28 1
3.2%
78.31 1
3.2%
72.01 1
3.2%
64.84 1
3.2%
62.0 1
3.2%
52.5 1
3.2%
9.45 1
3.2%

디에고가르시아(영)_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
309
 
1
199
 
1
240
 
1

Length

Max length4
Median length4
Mean length3.9032258
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
309 1
 
3.2%
199 1
 
3.2%
240 1
 
3.2%

Length

2023-12-12T19:14:18.603884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:18.744541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
309 1
 
3.2%
199 1
 
3.2%
240 1
 
3.2%

디에고가르시아(영)_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
11155
 
1
25576
 
1
28204
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
11155 1
 
3.2%
25576 1
 
3.2%
28204 1
 
3.2%

Length

2023-12-12T19:14:18.885151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:19.028759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
11155 1
 
3.2%
25576 1
 
3.2%
28204 1
 
3.2%

디에고가르시아(영)_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
36.15
 
1
128.0
 
1
117.0
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
36.15 1
 
3.2%
128.0 1
 
3.2%
117.0 1
 
3.2%

Length

2023-12-12T19:14:19.172630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:19.325647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
36.15 1
 
3.2%
128.0 1
 
3.2%
117.0 1
 
3.2%

마셜제도공화국_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
175.0
 
1
173.0
 
1
0.88
 
1
52.02
 
1

Length

Max length5
Median length4
Mean length4.1290323
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
175.0 1
 
3.2%
173.0 1
 
3.2%
0.88 1
 
3.2%
52.02 1
 
3.2%
120.0 1
 
3.2%

Length

2023-12-12T19:14:19.470771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:19.624056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
175.0 1
 
3.2%
173.0 1
 
3.2%
0.88 1
 
3.2%
52.02 1
 
3.2%
120.0 1
 
3.2%

마셜제도공화국_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
15045.0
 
1
15733.0
 
1
85.7
 
1
3894.0
 
1

Length

Max length7
Median length4
Mean length4.3225806
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
15045.0 1
 
3.2%
15733.0 1
 
3.2%
85.7 1
 
3.2%
3894.0 1
 
3.2%
5660.0 1
 
3.2%

Length

2023-12-12T19:14:19.772835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:19.923315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
15045.0 1
 
3.2%
15733.0 1
 
3.2%
85.7 1
 
3.2%
3894.0 1
 
3.2%
5660.0 1
 
3.2%

마셜제도공화국_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
86.21
 
1
90.87
 
1
97.5
 
1
74.86
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
86.21 1
 
3.2%
90.87 1
 
3.2%
97.5 1
 
3.2%
74.86 1
 
3.2%
47.2 1
 
3.2%

Length

2023-12-12T19:14:20.054554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:20.181217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
86.21 1
 
3.2%
90.87 1
 
3.2%
97.5 1
 
3.2%
74.86 1
 
3.2%
47.2 1
 
3.2%

나우르_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
24.79
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
24.79 1
 
3.2%

Length

2023-12-12T19:14:20.326759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:20.464640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
24.79 1
 
3.2%

나우르_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
2035
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
2035 1
 
3.2%

Length

2023-12-12T19:14:20.598652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:20.732233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
2035 1
 
3.2%

나우르_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
82.06
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
82.06 1
 
3.2%

Length

2023-12-12T19:14:20.852182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:20.962789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
82.06 1
 
3.2%

동티모르_물량
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean4.7385714
Minimum0.1
Maximum16.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:21.080562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.15
median0.34
Q37.8
95-th percentile15.48
Maximum16.83
Range16.73
Interquartile range (IQR)7.65

Descriptive statistics

Standard deviation6.9398353
Coefficient of variation (CV)1.4645417
Kurtosis-0.083389876
Mean4.7385714
Median Absolute Deviation (MAD)0.24
Skewness1.2733158
Sum33.17
Variance48.161314
MonotonicityNot monotonic
2023-12-12T19:14:21.243794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.1 2
 
6.5%
0.34 1
 
3.2%
12.33 1
 
3.2%
16.83 1
 
3.2%
3.27 1
 
3.2%
0.2 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
0.1 2
6.5%
0.2 1
3.2%
0.34 1
3.2%
3.27 1
3.2%
12.33 1
3.2%
16.83 1
3.2%
ValueCountFrequency (%)
16.83 1
3.2%
12.33 1
3.2%
3.27 1
3.2%
0.34 1
3.2%
0.2 1
3.2%
0.1 2
6.5%

동티모르_금액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean329.42714
Minimum4.8
Maximum1037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:21.391995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile7.992
Q122.5
median33.19
Q3593
95-th percentile1008.5
Maximum1037
Range1032.2
Interquartile range (IQR)570.5

Descriptive statistics

Standard deviation459.13871
Coefficient of variation (CV)1.3937489
Kurtosis-0.90415765
Mean329.42714
Median Absolute Deviation (MAD)28.39
Skewness1.1218686
Sum2305.99
Variance210808.35
MonotonicityNot monotonic
2023-12-12T19:14:21.498733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
33.19 1
 
3.2%
942.0 1
 
3.2%
1037.0 1
 
3.2%
244.0 1
 
3.2%
4.8 1
 
3.2%
15.44 1
 
3.2%
29.56 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
4.8 1
3.2%
15.44 1
3.2%
29.56 1
3.2%
33.19 1
3.2%
244.0 1
3.2%
942.0 1
3.2%
1037.0 1
3.2%
ValueCountFrequency (%)
1037.0 1
3.2%
942.0 1
3.2%
244.0 1
3.2%
33.19 1
3.2%
29.56 1
3.2%
15.44 1
3.2%
4.8 1
3.2%

동티모르_단가
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean94.117143
Minimum48.47
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:21.589921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.47
5-th percentile52.418
Q168.255
median76.34
Q3122.25
95-th percentile151.2
Maximum153
Range104.53
Interquartile range (IQR)53.995

Descriptive statistics

Standard deviation41.029261
Coefficient of variation (CV)0.43593824
Kurtosis-1.1950044
Mean94.117143
Median Absolute Deviation (MAD)21.16
Skewness0.7092738
Sum658.82
Variance1683.4003
MonotonicityNot monotonic
2023-12-12T19:14:21.687677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
97.5 1
 
3.2%
76.34 1
 
3.2%
61.63 1
 
3.2%
74.88 1
 
3.2%
48.47 1
 
3.2%
153.0 1
 
3.2%
147.0 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
48.47 1
3.2%
61.63 1
3.2%
74.88 1
3.2%
76.34 1
3.2%
97.5 1
3.2%
147.0 1
3.2%
153.0 1
3.2%
ValueCountFrequency (%)
153.0 1
3.2%
147.0 1
3.2%
97.5 1
3.2%
76.34 1
3.2%
74.88 1
3.2%
61.63 1
3.2%
48.47 1
3.2%

마카오_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
6.16
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
6.16 1
 
3.2%

Length

2023-12-12T19:14:21.801412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:21.883636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
6.16 1
 
3.2%

마카오_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
480
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
480 1
 
3.2%

Length

2023-12-12T19:14:21.972325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:22.066652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
480 1
 
3.2%

마카오_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
77.87
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
77.87 1
 
3.2%

Length

2023-12-12T19:14:22.166927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:22.302926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
77.87 1
 
3.2%

미크로네시아_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean158.12375
Minimum0.29
Maximum533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:22.413169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.4755
Q10.895
median64.48
Q3276.25
95-th percentile468.6
Maximum533
Range532.71
Interquartile range (IQR)275.355

Descriptive statistics

Standard deviation199.17189
Coefficient of variation (CV)1.259595
Kurtosis0.1441218
Mean158.12375
Median Absolute Deviation (MAD)63.925
Skewness1.1357686
Sum1264.99
Variance39669.442
MonotonicityNot monotonic
2023-12-12T19:14:22.510316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
64.24 1
 
3.2%
252.0 1
 
3.2%
64.72 1
 
3.2%
533.0 1
 
3.2%
349.0 1
 
3.2%
0.92 1
 
3.2%
0.82 1
 
3.2%
0.29 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.29 1
3.2%
0.82 1
3.2%
0.92 1
3.2%
64.24 1
3.2%
64.72 1
3.2%
252.0 1
3.2%
349.0 1
3.2%
533.0 1
3.2%
ValueCountFrequency (%)
533.0 1
3.2%
349.0 1
3.2%
252.0 1
3.2%
64.72 1
3.2%
64.24 1
3.2%
0.92 1
3.2%
0.82 1
3.2%
0.29 1
3.2%

미크로네시아_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean11838.446
Minimum30.57
Maximum33096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:22.617051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.57
5-th percentile57.3205
Q1128.75
median6347.5
Q323344.25
95-th percentile30709
Maximum33096
Range33065.43
Interquartile range (IQR)23215.5

Descriptive statistics

Standard deviation13419.238
Coefficient of variation (CV)1.1335303
Kurtosis-1.4983735
Mean11838.446
Median Absolute Deviation (MAD)6278.715
Skewness0.65737855
Sum94707.57
Variance1.8007594 × 108
MonotonicityNot monotonic
2023-12-12T19:14:22.730732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
9091.0 1
 
3.2%
33096.0 1
 
3.2%
3604.0 1
 
3.2%
26276.0 1
 
3.2%
22367.0 1
 
3.2%
136.0 1
 
3.2%
107.0 1
 
3.2%
30.57 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
30.57 1
3.2%
107.0 1
3.2%
136.0 1
3.2%
3604.0 1
3.2%
9091.0 1
3.2%
22367.0 1
3.2%
26276.0 1
3.2%
33096.0 1
3.2%
ValueCountFrequency (%)
33096.0 1
3.2%
26276.0 1
3.2%
22367.0 1
3.2%
9091.0 1
3.2%
3604.0 1
3.2%
136.0 1
3.2%
107.0 1
3.2%
30.57 1
3.2%

미크로네시아_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean103.6375
Minimum49.25
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:22.875030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.25
5-th percentile51.504
Q162.0425
median119
Q3134.5
95-th percentile145.9
Maximum148
Range98.75
Interquartile range (IQR)72.4575

Descriptive statistics

Standard deviation41.091523
Coefficient of variation (CV)0.39649281
Kurtosis-2.0486715
Mean103.6375
Median Absolute Deviation (MAD)26
Skewness-0.39951269
Sum829.1
Variance1688.5133
MonotonicityNot monotonic
2023-12-12T19:14:23.067437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
142.0 1
 
3.2%
132.0 1
 
3.2%
55.69 1
 
3.2%
49.25 1
 
3.2%
64.16 1
 
3.2%
148.0 1
 
3.2%
131.0 1
 
3.2%
107.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
49.25 1
3.2%
55.69 1
3.2%
64.16 1
3.2%
107.0 1
3.2%
131.0 1
3.2%
132.0 1
3.2%
142.0 1
3.2%
148.0 1
3.2%
ValueCountFrequency (%)
148.0 1
3.2%
142.0 1
3.2%
132.0 1
3.2%
131.0 1
3.2%
107.0 1
3.2%
64.16 1
3.2%
55.69 1
3.2%
49.25 1
3.2%

몽골_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
24.33
 
1
65.33
 
1
96.38
 
1
199.0
 
1

Length

Max length5
Median length4
Mean length4.1290323
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
24.33 1
 
3.2%
65.33 1
 
3.2%
96.38 1
 
3.2%
199.0 1
 
3.2%

Length

2023-12-12T19:14:23.193966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:23.311528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
24.33 1
 
3.2%
65.33 1
 
3.2%
96.38 1
 
3.2%
199.0 1
 
3.2%

몽골_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
3318
 
1
3740
 
1
4212
 
1
14845
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
3318 1
 
3.2%
3740 1
 
3.2%
4212 1
 
3.2%
14845 1
 
3.2%

Length

2023-12-12T19:14:23.444335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:23.586125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
3318 1
 
3.2%
3740 1
 
3.2%
4212 1
 
3.2%
14845 1
 
3.2%

몽골_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
136.0
 
1
57.24
 
1
43.7
 
1
74.51
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
136.0 1
 
3.2%
57.24 1
 
3.2%
43.7 1
 
3.2%
74.51 1
 
3.2%

Length

2023-12-12T19:14:23.729614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:23.855942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
136.0 1
 
3.2%
57.24 1
 
3.2%
43.7 1
 
3.2%
74.51 1
 
3.2%

아시아(기타)_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
24.84
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
24.84 1
 
3.2%

Length

2023-12-12T19:14:23.997739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:24.115559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
24.84 1
 
3.2%

아시아(기타)_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
706
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
706 1
 
3.2%

Length

2023-12-12T19:14:24.217342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:24.324855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
706 1
 
3.2%

아시아(기타)_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
28.42
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
28.42 1
 
3.2%

Length

2023-12-12T19:14:24.454246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:24.582933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
28.42 1
 
3.2%

몰디브_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
0.4
 
1
0.2
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
0.4 1
 
3.2%
0.2 1
 
3.2%

Length

2023-12-12T19:14:24.728781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:24.866970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
0.4 1
 
3.2%
0.2 1
 
3.2%

몰디브_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
60.33
 
1
26.98
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
60.33 1
 
3.2%
26.98 1
 
3.2%

Length

2023-12-12T19:14:24.997268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:25.127510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
60.33 1
 
3.2%
26.98 1
 
3.2%

몰디브_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
150
 
1
134
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
150 1
 
3.2%
134 1
 
3.2%

Length

2023-12-12T19:14:25.378817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:25.506045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
150 1
 
3.2%
134 1
 
3.2%

팔라우_물량
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean99.821429
Minimum45.86
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:25.616559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.86
5-th percentile48.206
Q169.945
median105
Q3135
95-th percentile137.4
Maximum138
Range92.14
Interquartile range (IQR)65.055

Descriptive statistics

Standard deviation39.131451
Coefficient of variation (CV)0.39201454
Kurtosis-1.7680245
Mean99.821429
Median Absolute Deviation (MAD)31
Skewness-0.4470997
Sum698.75
Variance1531.2705
MonotonicityNot monotonic
2023-12-12T19:14:25.750968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
105.0 1
 
3.2%
53.68 1
 
3.2%
138.0 1
 
3.2%
136.0 1
 
3.2%
45.86 1
 
3.2%
86.21 1
 
3.2%
134.0 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
45.86 1
3.2%
53.68 1
3.2%
86.21 1
3.2%
105.0 1
3.2%
134.0 1
3.2%
136.0 1
3.2%
138.0 1
3.2%
ValueCountFrequency (%)
138.0 1
3.2%
136.0 1
3.2%
134.0 1
3.2%
105.0 1
3.2%
86.21 1
3.2%
53.68 1
3.2%
45.86 1
3.2%

팔라우_금액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean8132.1429
Minimum1344
Maximum17162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:25.879308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1344
5-th percentile2066.1
Q14881
median6516
Q311070.5
95-th percentile15562.1
Maximum17162
Range15818
Interquartile range (IQR)6189.5

Descriptive statistics

Standard deviation5359.4358
Coefficient of variation (CV)0.65904349
Kurtosis-0.09633092
Mean8132.1429
Median Absolute Deviation (MAD)3796
Skewness0.58584677
Sum56925
Variance28723552
MonotonicityNot monotonic
2023-12-12T19:14:25.993336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6011 1
 
3.2%
3751 1
 
3.2%
11829 1
 
3.2%
10312 1
 
3.2%
1344 1
 
3.2%
6516 1
 
3.2%
17162 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
1344 1
3.2%
3751 1
3.2%
6011 1
3.2%
6516 1
3.2%
10312 1
3.2%
11829 1
3.2%
17162 1
3.2%
ValueCountFrequency (%)
17162 1
3.2%
11829 1
3.2%
10312 1
3.2%
6516 1
3.2%
6011 1
3.2%
3751 1
3.2%
1344 1
3.2%

팔라우_단가
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean74.492857
Minimum29.31
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:26.154673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.31
5-th percentile37.641
Q163.475
median75.59
Q380.8
95-th percentile115.361
Maximum128
Range98.69
Interquartile range (IQR)17.325

Descriptive statistics

Standard deviation29.892187
Coefficient of variation (CV)0.40127588
Kurtosis1.8907264
Mean74.492857
Median Absolute Deviation (MAD)10.28
Skewness0.49836723
Sum521.45
Variance893.54282
MonotonicityNot monotonic
2023-12-12T19:14:26.304335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
57.08 1
 
3.2%
69.87 1
 
3.2%
85.87 1
 
3.2%
75.73 1
 
3.2%
29.31 1
 
3.2%
75.59 1
 
3.2%
128.0 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
29.31 1
3.2%
57.08 1
3.2%
69.87 1
3.2%
75.59 1
3.2%
75.73 1
3.2%
85.87 1
3.2%
128.0 1
3.2%
ValueCountFrequency (%)
128.0 1
3.2%
85.87 1
3.2%
75.73 1
3.2%
75.59 1
3.2%
69.87 1
3.2%
57.08 1
3.2%
29.31 1
3.2%

솔로몬제도_물량
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean255.03429
Minimum0.1
Maximum542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:26.458153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.112
Q1121.57
median250
Q3375
95-th percentile524.3
Maximum542
Range541.9
Interquartile range (IQR)253.43

Descriptive statistics

Standard deviation209.99747
Coefficient of variation (CV)0.82340877
Kurtosis-1.098049
Mean255.03429
Median Absolute Deviation (MAD)233
Skewness0.059184806
Sum1785.24
Variance44098.937
MonotonicityNot monotonic
2023-12-12T19:14:26.994698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
243.0 1
 
3.2%
250.0 1
 
3.2%
267.0 1
 
3.2%
542.0 1
 
3.2%
483.0 1
 
3.2%
0.1 1
 
3.2%
0.14 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
0.1 1
3.2%
0.14 1
3.2%
243.0 1
3.2%
250.0 1
3.2%
267.0 1
3.2%
483.0 1
3.2%
542.0 1
3.2%
ValueCountFrequency (%)
542.0 1
3.2%
483.0 1
3.2%
267.0 1
3.2%
250.0 1
3.2%
243.0 1
3.2%
0.14 1
3.2%
0.1 1
3.2%

솔로몬제도_금액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean16459.709
Minimum17.38
Maximum40650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:27.137010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.38
5-th percentile19.84
Q15700.79
median15758
Q323695.5
95-th percentile37218.3
Maximum40650
Range40632.62
Interquartile range (IQR)17994.71

Descriptive statistics

Standard deviation14818.301
Coefficient of variation (CV)0.90027724
Kurtosis-0.40998692
Mean16459.709
Median Absolute Deviation (MAD)13453
Skewness0.5176319
Sum115217.96
Variance2.1958205 × 108
MonotonicityNot monotonic
2023-12-12T19:14:27.289232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
11376.0 1
 
3.2%
15758.0 1
 
3.2%
18180.0 1
 
3.2%
40650.0 1
 
3.2%
29211.0 1
 
3.2%
17.38 1
 
3.2%
25.58 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
17.38 1
3.2%
25.58 1
3.2%
11376.0 1
3.2%
15758.0 1
3.2%
18180.0 1
3.2%
29211.0 1
3.2%
40650.0 1
3.2%
ValueCountFrequency (%)
40650.0 1
3.2%
29211.0 1
3.2%
18180.0 1
3.2%
15758.0 1
3.2%
11376.0 1
3.2%
25.58 1
3.2%
17.38 1
3.2%

솔로몬제도_단가
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean94.791429
Minimum46.79
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:27.411747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.79
5-th percentile50.885
Q161.78
median68.16
Q3124.015
95-th percentile175.8
Maximum177
Range130.21
Interquartile range (IQR)62.235

Descriptive statistics

Standard deviation55.470434
Coefficient of variation (CV)0.58518407
Kurtosis-0.892428
Mean94.791429
Median Absolute Deviation (MAD)7.72
Skewness1.1270759
Sum663.54
Variance3076.969
MonotonicityNot monotonic
2023-12-12T19:14:27.570259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
46.79 1
 
3.2%
63.12 1
 
3.2%
68.16 1
 
3.2%
75.03 1
 
3.2%
60.44 1
 
3.2%
173.0 1
 
3.2%
177.0 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
46.79 1
3.2%
60.44 1
3.2%
63.12 1
3.2%
68.16 1
3.2%
75.03 1
3.2%
173.0 1
3.2%
177.0 1
3.2%
ValueCountFrequency (%)
177.0 1
3.2%
173.0 1
3.2%
75.03 1
3.2%
68.16 1
3.2%
63.12 1
3.2%
60.44 1
3.2%
46.79 1
3.2%

캄보디아_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
1.38
 
1
0.71
 
1
0.14
 
1
156.0
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
1.38 1
 
3.2%
0.71 1
 
3.2%
0.14 1
 
3.2%
156.0 1
 
3.2%

Length

2023-12-12T19:14:27.746580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:27.900829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
1.38 1
 
3.2%
0.71 1
 
3.2%
0.14 1
 
3.2%
156.0 1
 
3.2%

캄보디아_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
181.0
 
1
68.84
 
1
14.32
 
1
13274.0
 
1

Length

Max length7
Median length4
Mean length4.1935484
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
181.0 1
 
3.2%
68.84 1
 
3.2%
14.32 1
 
3.2%
13274.0 1
 
3.2%

Length

2023-12-12T19:14:28.029688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:28.182224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
181.0 1
 
3.2%
68.84 1
 
3.2%
14.32 1
 
3.2%
13274.0 1
 
3.2%

캄보디아_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
131.0
 
1
97.47
 
1
101.0
 
1
85.25
 
1

Length

Max length5
Median length4
Mean length4.1290323
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
131.0 1
 
3.2%
97.47 1
 
3.2%
101.0 1
 
3.2%
85.25 1
 
3.2%

Length

2023-12-12T19:14:28.349264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:28.497802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
131.0 1
 
3.2%
97.47 1
 
3.2%
101.0 1
 
3.2%
85.25 1
 
3.2%

튀니지_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
0.15
 
1
0.28
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
0.15 1
 
3.2%
0.28 1
 
3.2%

Length

2023-12-12T19:14:28.662752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:28.802878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
0.15 1
 
3.2%
0.28 1
 
3.2%

튀니지_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
16.87
 
1
39.75
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
16.87 1
 
3.2%
39.75 1
 
3.2%

Length

2023-12-12T19:14:28.954561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:29.073291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
16.87 1
 
3.2%
39.75 1
 
3.2%

튀니지_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
112
 
1
143
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
112 1
 
3.2%
143 1
 
3.2%

Length

2023-12-12T19:14:29.208318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:29.326043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
112 1
 
3.2%
143 1
 
3.2%

알제리_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
330.0
 
1
0.45
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
330.0 1
 
3.2%
0.45 1
 
3.2%

Length

2023-12-12T19:14:29.465787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:29.581995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
330.0 1
 
3.2%
0.45 1
 
3.2%

알제리_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
44833
 
1
109
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
44833 1
 
3.2%
109 1
 
3.2%

Length

2023-12-12T19:14:29.746959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:29.898545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
44833 1
 
3.2%
109 1
 
3.2%

알제리_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
136
 
1
245
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
136 1
 
3.2%
245 1
 
3.2%

Length

2023-12-12T19:14:30.053165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:30.200438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
136 1
 
3.2%
245 1
 
3.2%

모리셔스_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
0.2
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
0.2 1
 
3.2%

Length

2023-12-12T19:14:30.375519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:30.533460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
0.2 1
 
3.2%

모리셔스_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
26.62
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
26.62 1
 
3.2%

Length

2023-12-12T19:14:30.646888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:30.784305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
26.62 1
 
3.2%

모리셔스_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
132
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
132 1
 
3.2%

Length

2023-12-12T19:14:30.947938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:31.073193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
132 1
 
3.2%

이집트_물량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean1116.8183
Minimum15.98
Maximum3373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:31.198226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.98
5-th percentile23.9825
Q1172.0775
median606
Q31836.75
95-th percentile3253.1
Maximum3373
Range3357.02
Interquartile range (IQR)1664.6725

Descriptive statistics

Standard deviation1254.2894
Coefficient of variation (CV)1.1230917
Kurtosis-0.61376629
Mean1116.8183
Median Absolute Deviation (MAD)572.08
Skewness0.99789663
Sum13401.82
Variance1573241.9
MonotonicityNot monotonic
2023-12-12T19:14:31.369285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
217.0 1
 
3.2%
493.0 1
 
3.2%
817.0 1
 
3.2%
3155.0 1
 
3.2%
719.0 1
 
3.2%
37.31 1
 
3.2%
1576.0 1
 
3.2%
15.98 1
 
3.2%
3373.0 1
 
3.2%
2619.0 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
15.98 1
3.2%
30.53 1
3.2%
37.31 1
3.2%
217.0 1
3.2%
349.0 1
3.2%
493.0 1
3.2%
719.0 1
3.2%
817.0 1
3.2%
1576.0 1
3.2%
2619.0 1
3.2%
ValueCountFrequency (%)
3373.0 1
3.2%
3155.0 1
3.2%
2619.0 1
3.2%
1576.0 1
3.2%
817.0 1
3.2%
719.0 1
3.2%
493.0 1
3.2%
349.0 1
3.2%
217.0 1
3.2%
37.31 1
3.2%

이집트_금액
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean83389.083
Minimum1695
Maximum281827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:31.523354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1695
5-th percentile2529.35
Q14613
median33198
Q3113502
95-th percentile277255.4
Maximum281827
Range280132
Interquartile range (IQR)108889

Descriptive statistics

Standard deviation106798.53
Coefficient of variation (CV)1.2807255
Kurtosis-0.095081699
Mean83389.083
Median Absolute Deviation (MAD)30744.5
Skewness1.2120653
Sum1000669
Variance1.1405926 × 1010
MonotonicityNot monotonic
2023-12-12T19:14:31.679798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4154 1
 
3.2%
14398 1
 
3.2%
51854 1
 
3.2%
281827 1
 
3.2%
66082 1
 
3.2%
3212 1
 
3.2%
84692 1
 
3.2%
1695 1
 
3.2%
273515 1
 
3.2%
199932 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
1695 1
3.2%
3212 1
3.2%
4154 1
3.2%
4766 1
3.2%
14398 1
3.2%
14542 1
3.2%
51854 1
3.2%
66082 1
3.2%
84692 1
3.2%
199932 1
3.2%
ValueCountFrequency (%)
281827 1
3.2%
273515 1
3.2%
199932 1
3.2%
84692 1
3.2%
66082 1
3.2%
51854 1
3.2%
14542 1
3.2%
14398 1
3.2%
4766 1
3.2%
4154 1
3.2%

이집트_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean74.509167
Minimum19.11
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:31.793255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.11
5-th percentile24.676
Q150.7475
median78.715
Q389.99
95-th percentile128.5
Maximum156
Range136.89
Interquartile range (IQR)39.2425

Descriptive statistics

Standard deviation37.030543
Coefficient of variation (CV)0.49699311
Kurtosis1.0134551
Mean74.509167
Median Absolute Deviation (MAD)20.085
Skewness0.58948047
Sum894.11
Variance1371.2611
MonotonicityNot monotonic
2023-12-12T19:14:31.931735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
19.11 1
 
3.2%
29.23 1
 
3.2%
63.5 1
 
3.2%
89.34 1
 
3.2%
91.94 1
 
3.2%
86.09 1
 
3.2%
53.76 1
 
3.2%
106.0 1
 
3.2%
81.1 1
 
3.2%
76.33 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
19.11 1
3.2%
29.23 1
3.2%
41.71 1
3.2%
53.76 1
3.2%
63.5 1
3.2%
76.33 1
3.2%
81.1 1
3.2%
86.09 1
3.2%
89.34 1
3.2%
91.94 1
3.2%
ValueCountFrequency (%)
156.0 1
3.2%
106.0 1
3.2%
91.94 1
3.2%
89.34 1
3.2%
86.09 1
3.2%
81.1 1
3.2%
76.33 1
3.2%
63.5 1
3.2%
53.76 1
3.2%
41.71 1
3.2%

앙골라_물량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean8208.0833
Minimum728
Maximum20346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:32.072615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum728
5-th percentile838.55
Q11193.5
median8276
Q313606.75
95-th percentile17310.55
Maximum20346
Range19618
Interquartile range (IQR)12413.25

Descriptive statistics

Standard deviation6964.3649
Coefficient of variation (CV)0.84847639
Kurtosis-1.4923247
Mean8208.0833
Median Absolute Deviation (MAD)6204.5
Skewness0.27416417
Sum98497
Variance48502379
MonotonicityNot monotonic
2023-12-12T19:14:32.222218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
728 1
 
3.2%
982 1
 
3.2%
3104 1
 
3.2%
929 1
 
3.2%
1264 1
 
3.2%
13431 1
 
3.2%
20346 1
 
3.2%
14134 1
 
3.2%
12059 1
 
3.2%
12200 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
728 1
3.2%
929 1
3.2%
982 1
3.2%
1264 1
3.2%
3104 1
3.2%
4493 1
3.2%
12059 1
3.2%
12200 1
3.2%
13431 1
3.2%
14134 1
3.2%
ValueCountFrequency (%)
20346 1
3.2%
14827 1
3.2%
14134 1
3.2%
13431 1
3.2%
12200 1
3.2%
12059 1
3.2%
4493 1
3.2%
3104 1
3.2%
1264 1
3.2%
982 1
3.2%

앙골라_금액
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean632896.33
Minimum37112
Maximum1966324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:32.377384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37112
5-th percentile59089.45
Q183549.5
median501954.5
Q3959938.25
95-th percentile1606822
Maximum1966324
Range1929212
Interquartile range (IQR)876388.75

Descriptive statistics

Standard deviation602187.5
Coefficient of variation (CV)0.95147889
Kurtosis0.5908728
Mean632896.33
Median Absolute Deviation (MAD)418537.5
Skewness1.0336876
Sum7594756
Variance3.6262979 × 1011
MonotonicityNot monotonic
2023-12-12T19:14:32.535718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
37112 1
 
3.2%
83152 1
 
3.2%
382140 1
 
3.2%
83682 1
 
3.2%
77071 1
 
3.2%
670969 1
 
3.2%
1312684 1
 
3.2%
1132088 1
 
3.2%
902555 1
 
3.2%
621769 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
37112 1
3.2%
77071 1
3.2%
83152 1
3.2%
83682 1
3.2%
325210 1
3.2%
382140 1
3.2%
621769 1
3.2%
670969 1
3.2%
902555 1
3.2%
1132088 1
3.2%
ValueCountFrequency (%)
1966324 1
3.2%
1312684 1
3.2%
1132088 1
3.2%
902555 1
3.2%
670969 1
3.2%
621769 1
3.2%
382140 1
3.2%
325210 1
3.2%
83682 1
3.2%
83152 1
3.2%

앙골라_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean77.949167
Minimum49.96
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:32.678543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.96
5-th percentile50.51
Q158.455
median73.61
Q386.0025
95-th percentile127.5
Maximum133
Range83.04
Interquartile range (IQR)27.5475

Descriptive statistics

Standard deviation26.978193
Coefficient of variation (CV)0.34609983
Kurtosis0.46388808
Mean77.949167
Median Absolute Deviation (MAD)14.555
Skewness1.0644874
Sum935.39
Variance727.82292
MonotonicityNot monotonic
2023-12-12T19:14:32.784152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
50.97 1
 
3.2%
84.65 1
 
3.2%
123.0 1
 
3.2%
90.06 1
 
3.2%
60.95 1
 
3.2%
49.96 1
 
3.2%
64.52 1
 
3.2%
80.1 1
 
3.2%
74.84 1
 
3.2%
50.96 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
49.96 1
3.2%
50.96 1
3.2%
50.97 1
3.2%
60.95 1
3.2%
64.52 1
3.2%
72.38 1
3.2%
74.84 1
3.2%
80.1 1
3.2%
84.65 1
3.2%
90.06 1
3.2%
ValueCountFrequency (%)
133.0 1
3.2%
123.0 1
3.2%
90.06 1
3.2%
84.65 1
3.2%
80.1 1
3.2%
74.84 1
3.2%
72.38 1
3.2%
64.52 1
3.2%
60.95 1
3.2%
50.97 1
3.2%

에티오피아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
12.38
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
12.38 1
 
3.2%

Length

2023-12-12T19:14:32.929428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:33.060373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
12.38 1
 
3.2%

에티오피아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
1175
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
1175 1
 
3.2%

Length

2023-12-12T19:14:33.188489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:33.300315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
1175 1
 
3.2%

에티오피아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
94.88
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
94.88 1
 
3.2%

Length

2023-12-12T19:14:33.410379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:33.522486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
94.88 1
 
3.2%

카메룬_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
0.1
 
1
543.0
 
1
1044.0
 
1

Length

Max length6
Median length4
Mean length4.0645161
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
0.1 1
 
3.2%
543.0 1
 
3.2%
1044.0 1
 
3.2%

Length

2023-12-12T19:14:33.688722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:33.824476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
0.1 1
 
3.2%
543.0 1
 
3.2%
1044.0 1
 
3.2%

카메룬_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
5.38
 
1
40860.0
 
1
164002.0
 
1

Length

Max length8
Median length4
Mean length4.2258065
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
5.38 1
 
3.2%
40860.0 1
 
3.2%
164002.0 1
 
3.2%

Length

2023-12-12T19:14:33.981976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:34.134695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
5.38 1
 
3.2%
40860.0 1
 
3.2%
164002.0 1
 
3.2%

카메룬_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
52.75
 
1
75.23
 
1
157.0
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
52.75 1
 
3.2%
75.23 1
 
3.2%
157.0 1
 
3.2%

Length

2023-12-12T19:14:34.332928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:34.462854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
52.75 1
 
3.2%
75.23 1
 
3.2%
157.0 1
 
3.2%

케냐_물량
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean280.89462
Minimum0.4
Maximum1346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:34.605637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1.552
Q12.38
median10.03
Q3285
95-th percentile1284.8
Maximum1346
Range1345.6
Interquartile range (IQR)282.62

Descriptive statistics

Standard deviation492.00876
Coefficient of variation (CV)1.7515777
Kurtosis1.314417
Mean280.89462
Median Absolute Deviation (MAD)7.71
Skewness1.6475243
Sum3651.63
Variance242072.62
MonotonicityNot monotonic
2023-12-12T19:14:34.782272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
33.94 1
 
3.2%
1244.0 1
 
3.2%
699.0 1
 
3.2%
285.0 1
 
3.2%
0.4 1
 
3.2%
2.38 1
 
3.2%
2.32 1
 
3.2%
5.39 1
 
3.2%
11.25 1
 
3.2%
9.58 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
0.4 1
3.2%
2.32 1
3.2%
2.34 1
3.2%
2.38 1
3.2%
5.39 1
3.2%
9.58 1
3.2%
10.03 1
3.2%
11.25 1
3.2%
33.94 1
3.2%
285.0 1
3.2%
ValueCountFrequency (%)
1346.0 1
3.2%
1244.0 1
3.2%
699.0 1
3.2%
285.0 1
3.2%
33.94 1
3.2%
11.25 1
3.2%
10.03 1
3.2%
9.58 1
3.2%
5.39 1
3.2%
2.38 1
3.2%

케냐_금액
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean30964.092
Minimum79.2
Maximum200558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:34.919628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.2
5-th percentile153.48
Q1303
median1100
Q336800
95-th percentile138822.8
Maximum200558
Range200478.8
Interquartile range (IQR)36497

Descriptive statistics

Standard deviation59465.624
Coefficient of variation (CV)1.9204704
Kurtosis5.5058548
Mean30964.092
Median Absolute Deviation (MAD)816
Skewness2.3196793
Sum402533.2
Variance3.5361604 × 109
MonotonicityNot monotonic
2023-12-12T19:14:35.080383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1153.0 1
 
3.2%
97666.0 1
 
3.2%
61446.0 1
 
3.2%
36800.0 1
 
3.2%
79.2 1
 
3.2%
284.0 1
 
3.2%
203.0 1
 
3.2%
543.0 1
 
3.2%
1374.0 1
 
3.2%
1100.0 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
79.2 1
3.2%
203.0 1
3.2%
284.0 1
3.2%
303.0 1
3.2%
543.0 1
3.2%
1024.0 1
3.2%
1100.0 1
3.2%
1153.0 1
3.2%
1374.0 1
3.2%
36800.0 1
3.2%
ValueCountFrequency (%)
200558.0 1
3.2%
97666.0 1
3.2%
61446.0 1
3.2%
36800.0 1
3.2%
1374.0 1
3.2%
1153.0 1
3.2%
1100.0 1
3.2%
1024.0 1
3.2%
543.0 1
3.2%
303.0 1
3.2%

케냐_단가
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean111.65308
Minimum33.98
Maximum197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:35.243767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.98
5-th percentile60.698
Q187.91
median115
Q3129
95-th percentile168.2
Maximum197
Range163.02
Interquartile range (IQR)41.09

Descriptive statistics

Standard deviation38.714847
Coefficient of variation (CV)0.34674232
Kurtosis1.8121441
Mean111.65308
Median Absolute Deviation (MAD)15
Skewness0.25762292
Sum1451.49
Variance1498.8394
MonotonicityNot monotonic
2023-12-12T19:14:35.391717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
33.98 1
 
3.2%
78.51 1
 
3.2%
87.91 1
 
3.2%
129.0 1
 
3.2%
197.0 1
 
3.2%
119.0 1
 
3.2%
87.38 1
 
3.2%
100.71 1
 
3.2%
122.0 1
 
3.2%
115.0 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
33.98 1
3.2%
78.51 1
3.2%
87.38 1
3.2%
87.91 1
3.2%
100.71 1
3.2%
102.0 1
3.2%
115.0 1
3.2%
119.0 1
3.2%
122.0 1
3.2%
129.0 1
3.2%
ValueCountFrequency (%)
197.0 1
3.2%
149.0 1
3.2%
130.0 1
3.2%
129.0 1
3.2%
122.0 1
3.2%
119.0 1
3.2%
115.0 1
3.2%
102.0 1
3.2%
100.71 1
3.2%
87.91 1
3.2%

나이지리아_물량
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean1465.3923
Minimum0.3
Maximum5267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:35.538076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.6
Q1451
median866
Q32305
95-th percentile4122.2
Maximum5267
Range5266.7
Interquartile range (IQR)1854

Descriptive statistics

Standard deviation1571.1846
Coefficient of variation (CV)1.0721938
Kurtosis1.5085575
Mean1465.3923
Median Absolute Deviation (MAD)581
Skewness1.3889377
Sum19050.1
Variance2468621
MonotonicityNot monotonic
2023-12-12T19:14:35.656634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
866.0 1
 
3.2%
513.0 1
 
3.2%
0.8 1
 
3.2%
0.3 1
 
3.2%
1207.0 1
 
3.2%
285.0 1
 
3.2%
2913.0 1
 
3.2%
1249.0 1
 
3.2%
3359.0 1
 
3.2%
634.0 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
0.3 1
3.2%
0.8 1
3.2%
285.0 1
3.2%
451.0 1
3.2%
513.0 1
3.2%
634.0 1
3.2%
866.0 1
3.2%
1207.0 1
3.2%
1249.0 1
3.2%
2305.0 1
3.2%
ValueCountFrequency (%)
5267.0 1
3.2%
3359.0 1
3.2%
2913.0 1
3.2%
2305.0 1
3.2%
1249.0 1
3.2%
1207.0 1
3.2%
866.0 1
3.2%
634.0 1
3.2%
513.0 1
3.2%
451.0 1
3.2%

나이지리아_금액
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean117101.14
Minimum80.78
Maximum405063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:35.782084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.78
5-th percentile123.512
Q119163
median51008
Q3150132
95-th percentile340624.8
Maximum405063
Range404982.22
Interquartile range (IQR)130969

Descriptive statistics

Standard deviation132556.26
Coefficient of variation (CV)1.131981
Kurtosis0.35493737
Mean117101.14
Median Absolute Deviation (MAD)50856
Skewness1.2406085
Sum1522314.8
Variance1.7571163 × 1010
MonotonicityNot monotonic
2023-12-12T19:14:35.907198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
51008.0 1
 
3.2%
48473.0 1
 
3.2%
152.0 1
 
3.2%
80.78 1
 
3.2%
111690.0 1
 
3.2%
16807.0 1
 
3.2%
150132.0 1
 
3.2%
78235.0 1
 
3.2%
295589.0 1
 
3.2%
48256.0 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
80.78 1
3.2%
152.0 1
3.2%
16807.0 1
3.2%
19163.0 1
3.2%
48256.0 1
3.2%
48473.0 1
3.2%
51008.0 1
3.2%
78235.0 1
3.2%
111690.0 1
3.2%
150132.0 1
3.2%
ValueCountFrequency (%)
405063.0 1
3.2%
297666.0 1
3.2%
295589.0 1
3.2%
150132.0 1
3.2%
111690.0 1
3.2%
78235.0 1
3.2%
51008.0 1
3.2%
48473.0 1
3.2%
48256.0 1
3.2%
19163.0 1
3.2%

나이지리아_단가
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean98.961538
Minimum42.5
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:36.042554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.5
5-th percentile47.924
Q158.92
median76.91
Q394.51
95-th percentile219.8
Maximum266
Range223.5
Interquartile range (IQR)35.59

Descriptive statistics

Standard deviation63.290025
Coefficient of variation (CV)0.63954164
Kurtosis3.5289322
Mean98.961538
Median Absolute Deviation (MAD)17.99
Skewness1.9152896
Sum1286.5
Variance4005.6272
MonotonicityNot monotonic
2023-12-12T19:14:36.143470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
58.91 1
 
3.2%
94.51 1
 
3.2%
189.0 1
 
3.2%
266.0 1
 
3.2%
92.53 1
 
3.2%
58.92 1
 
3.2%
51.54 1
 
3.2%
62.63 1
 
3.2%
87.99 1
 
3.2%
76.06 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
42.5 1
3.2%
51.54 1
3.2%
58.91 1
3.2%
58.92 1
3.2%
62.63 1
3.2%
76.06 1
3.2%
76.91 1
3.2%
87.99 1
3.2%
92.53 1
3.2%
94.51 1
3.2%
ValueCountFrequency (%)
266.0 1
3.2%
189.0 1
3.2%
129.0 1
3.2%
94.51 1
3.2%
92.53 1
3.2%
87.99 1
3.2%
76.91 1
3.2%
76.06 1
3.2%
62.63 1
3.2%
58.92 1
3.2%

남아프리카공화국_물량
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean1149.9668
Minimum11.41
Maximum4745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:36.246310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.41
5-th percentile50.3185
Q196.5225
median637
Q31529.25
95-th percentile4562.15
Maximum4745
Range4733.59
Interquartile range (IQR)1432.7275

Descriptive statistics

Standard deviation1435.1485
Coefficient of variation (CV)1.2479912
Kurtosis1.6796385
Mean1149.9668
Median Absolute Deviation (MAD)561.75
Skewness1.5788421
Sum25299.27
Variance2059651.3
MonotonicityNot monotonic
2023-12-12T19:14:36.365454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4745.0 1
 
3.2%
2309.0 1
 
3.2%
1578.0 1
 
3.2%
835.0 1
 
3.2%
75.64 1
 
3.2%
643.0 1
 
3.2%
714.0 1
 
3.2%
74.86 1
 
3.2%
49.28 1
 
3.2%
70.05 1
 
3.2%
Other values (12) 12
38.7%
(Missing) 9
29.0%
ValueCountFrequency (%)
11.41 1
3.2%
49.28 1
3.2%
70.05 1
3.2%
74.86 1
3.2%
75.64 1
3.2%
81.03 1
3.2%
143.0 1
3.2%
182.0 1
3.2%
350.0 1
3.2%
472.0 1
3.2%
ValueCountFrequency (%)
4745.0 1
3.2%
4640.0 1
3.2%
3083.0 1
3.2%
2453.0 1
3.2%
2309.0 1
3.2%
1578.0 1
3.2%
1383.0 1
3.2%
835.0 1
3.2%
776.0 1
3.2%
714.0 1
3.2%

남아프리카공화국_금액
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean125081.91
Minimum420
Maximum600982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:36.472052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum420
5-th percentile4501.25
Q19019
median42046.5
Q3130452.75
95-th percentile571314.2
Maximum600982
Range600562
Interquartile range (IQR)121433.75

Descriptive statistics

Standard deviation181231.44
Coefficient of variation (CV)1.4489021
Kurtosis2.4532015
Mean125081.91
Median Absolute Deviation (MAD)36525.5
Skewness1.8041137
Sum2751802
Variance3.2844834 × 1010
MonotonicityNot monotonic
2023-12-12T19:14:36.586793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
600982 1
 
3.2%
312251 1
 
3.2%
125526 1
 
3.2%
23948 1
 
3.2%
6891 1
 
3.2%
52915 1
 
3.2%
49886 1
 
3.2%
6175 1
 
3.2%
4867 1
 
3.2%
9853 1
 
3.2%
Other values (12) 12
38.7%
(Missing) 9
29.0%
ValueCountFrequency (%)
420 1
3.2%
4482 1
3.2%
4867 1
3.2%
6175 1
3.2%
6891 1
3.2%
8741 1
3.2%
9853 1
3.2%
12277 1
3.2%
19732 1
3.2%
23948 1
3.2%
ValueCountFrequency (%)
600982 1
3.2%
584297 1
3.2%
324641 1
3.2%
312251 1
3.2%
270956 1
3.2%
132095 1
3.2%
125526 1
3.2%
89701 1
3.2%
76959 1
3.2%
52915 1
3.2%

남아프리카공화국_단가
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing9
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean89.68
Minimum28.68
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:36.743062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.68
5-th percentile37.317
Q170.475
median86.895
Q3119.2925
95-th percentile140.7
Maximum142
Range113.32
Interquartile range (IQR)48.8175

Descriptive statistics

Standard deviation33.531796
Coefficient of variation (CV)0.37390495
Kurtosis-0.81470444
Mean89.68
Median Absolute Deviation (MAD)23.79
Skewness0.011827559
Sum1972.96
Variance1124.3813
MonotonicityNot monotonic
2023-12-12T19:14:37.205830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.0 1
 
3.2%
135.0 1
 
3.2%
79.54 1
 
3.2%
28.68 1
 
3.2%
91.11 1
 
3.2%
82.27 1
 
3.2%
69.82 1
 
3.2%
82.49 1
 
3.2%
98.78 1
 
3.2%
141.0 1
 
3.2%
Other values (12) 12
38.7%
(Missing) 9
29.0%
ValueCountFrequency (%)
28.68 1
3.2%
36.76 1
3.2%
47.9 1
3.2%
55.31 1
3.2%
56.39 1
3.2%
69.82 1
3.2%
72.44 1
3.2%
79.54 1
3.2%
82.27 1
3.2%
82.49 1
3.2%
ValueCountFrequency (%)
142.0 1
3.2%
141.0 1
3.2%
135.0 1
3.2%
132.0 1
3.2%
127.0 1
3.2%
126.0 1
3.2%
99.17 1
3.2%
98.78 1
3.2%
95.51 1
3.2%
91.11 1
3.2%

모잠비크_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
193
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.8709677
Min length1

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
193 1
 
3.2%
3 1
 
3.2%

Length

2023-12-12T19:14:37.342097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:37.442143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
193 1
 
3.2%
3 1
 
3.2%

모잠비크_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
10336
 
1
303
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
10336 1
 
3.2%
303 1
 
3.2%

Length

2023-12-12T19:14:37.594426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:37.761942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
10336 1
 
3.2%
303 1
 
3.2%

모잠비크_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
53.54
 
1
100.99
 
1

Length

Max length6
Median length4
Mean length4.0967742
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
53.54 1
 
3.2%
100.99 1
 
3.2%

Length

2023-12-12T19:14:37.966414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:38.101117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
53.54 1
 
3.2%
100.99 1
 
3.2%

수단_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
14.02
 
1
30.67
 
1
0.1
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
14.02 1
 
3.2%
30.67 1
 
3.2%
0.1 1
 
3.2%

Length

2023-12-12T19:14:38.264121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:38.426086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
14.02 1
 
3.2%
30.67 1
 
3.2%
0.1 1
 
3.2%

수단_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
2880.0
 
1
5518.0
 
1
14.21
 
1

Length

Max length6
Median length4
Mean length4.1612903
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
2880.0 1
 
3.2%
5518.0 1
 
3.2%
14.21 1
 
3.2%

Length

2023-12-12T19:14:38.573664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:38.738011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
2880.0 1
 
3.2%
5518.0 1
 
3.2%
14.21 1
 
3.2%

수단_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
205
 
1
180
 
1
141
 
1

Length

Max length4
Median length4
Mean length3.9032258
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
205 1
 
3.2%
180 1
 
3.2%
141 1
 
3.2%

Length

2023-12-12T19:14:38.924674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:39.063779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
205 1
 
3.2%
180 1
 
3.2%
141 1
 
3.2%

가나_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
0.29
 
1
7.71
 
1
14.21
 
1
3.72
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
0.29 1
 
3.2%
7.71 1
 
3.2%
14.21 1
 
3.2%
3.72 1
 
3.2%
3.96 1
 
3.2%

Length

2023-12-12T19:14:39.194608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:39.323029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
0.29 1
 
3.2%
7.71 1
 
3.2%
14.21 1
 
3.2%
3.72 1
 
3.2%
3.96 1
 
3.2%

가나_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
36.01
 
1
724.0
 
1
1268.0
 
1
525.0
 
1

Length

Max length6
Median length4
Mean length4.1935484
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
36.01 1
 
3.2%
724.0 1
 
3.2%
1268.0 1
 
3.2%
525.0 1
 
3.2%
564.0 1
 
3.2%

Length

2023-12-12T19:14:39.463233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:39.601814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
36.01 1
 
3.2%
724.0 1
 
3.2%
1268.0 1
 
3.2%
525.0 1
 
3.2%
564.0 1
 
3.2%

가나_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
125.0
 
1
93.92
 
1
89.25
 
1
141.0
 
1

Length

Max length5
Median length4
Mean length4.1612903
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
125.0 1
 
3.2%
93.92 1
 
3.2%
89.25 1
 
3.2%
141.0 1
 
3.2%
143.0 1
 
3.2%

Length

2023-12-12T19:14:39.760427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:39.918570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
125.0 1
 
3.2%
93.92 1
 
3.2%
89.25 1
 
3.2%
141.0 1
 
3.2%
143.0 1
 
3.2%

마다가스카르_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
765.0
 
1
0.15
 
1
5.25
 
1
3.14
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
765.0 1
 
3.2%
0.15 1
 
3.2%
5.25 1
 
3.2%
3.14 1
 
3.2%

Length

2023-12-12T19:14:40.099935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:40.240720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
765.0 1
 
3.2%
0.15 1
 
3.2%
5.25 1
 
3.2%
3.14 1
 
3.2%

마다가스카르_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
94630.0
 
1
17.42
 
1
531.0
 
1
207.0
 
1

Length

Max length7
Median length4
Mean length4.1935484
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
94630.0 1
 
3.2%
17.42 1
 
3.2%
531.0 1
 
3.2%
207.0 1
 
3.2%

Length

2023-12-12T19:14:40.408341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:40.576659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
94630.0 1
 
3.2%
17.42 1
 
3.2%
531.0 1
 
3.2%
207.0 1
 
3.2%

마다가스카르_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
124.0
 
1
117.0
 
1
101.0
 
1
65.8
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
124.0 1
 
3.2%
117.0 1
 
3.2%
101.0 1
 
3.2%
65.8 1
 
3.2%

Length

2023-12-12T19:14:40.746686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:40.864034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
124.0 1
 
3.2%
117.0 1
 
3.2%
101.0 1
 
3.2%
65.8 1
 
3.2%

모로코_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean2.0825
Minimum0.29
Maximum5.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:40.965243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.3425
Q10.7625
median1.425
Q32.6775
95-th percentile5.221
Maximum5.48
Range5.19
Interquartile range (IQR)1.915

Descriptive statistics

Standard deviation1.9601731
Coefficient of variation (CV)0.94125959
Kurtosis-0.17742839
Mean2.0825
Median Absolute Deviation (MAD)0.775
Skewness1.1474592
Sum16.66
Variance3.8422786
MonotonicityNot monotonic
2023-12-12T19:14:41.073364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.29 1
 
3.2%
0.87 1
 
3.2%
0.44 1
 
3.2%
4.74 1
 
3.2%
5.48 1
 
3.2%
1.99 1
 
3.2%
1.56 1
 
3.2%
1.29 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.29 1
3.2%
0.44 1
3.2%
0.87 1
3.2%
1.29 1
3.2%
1.56 1
3.2%
1.99 1
3.2%
4.74 1
3.2%
5.48 1
3.2%
ValueCountFrequency (%)
5.48 1
3.2%
4.74 1
3.2%
1.99 1
3.2%
1.56 1
3.2%
1.29 1
3.2%
0.87 1
3.2%
0.44 1
3.2%
0.29 1
3.2%

모로코_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean267.24875
Minimum27
Maximum630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:41.168589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile36.4605
Q175.7275
median238
Q3354
95-th percentile617.4
Maximum630
Range603
Interquartile range (IQR)278.2725

Descriptive statistics

Standard deviation232.42125
Coefficient of variation (CV)0.86968132
Kurtosis-0.75571766
Mean267.24875
Median Absolute Deviation (MAD)169.505
Skewness0.79910776
Sum2137.99
Variance54019.635
MonotonicityNot monotonic
2023-12-12T19:14:41.259066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
27.0 1
 
3.2%
82.96 1
 
3.2%
54.03 1
 
3.2%
630.0 1
 
3.2%
594.0 1
 
3.2%
217.0 1
 
3.2%
259.0 1
 
3.2%
274.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
27.0 1
3.2%
54.03 1
3.2%
82.96 1
3.2%
217.0 1
3.2%
259.0 1
3.2%
274.0 1
3.2%
594.0 1
3.2%
630.0 1
3.2%
ValueCountFrequency (%)
630.0 1
3.2%
594.0 1
3.2%
274.0 1
3.2%
259.0 1
3.2%
217.0 1
3.2%
82.96 1
3.2%
54.03 1
3.2%
27.0 1
3.2%

모로코_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean130.1325
Minimum93.04
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:41.345487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.04
5-th percentile93.733
Q1104.755
median116.5
Q3141.25
95-th percentile196.55
Maximum213
Range119.96
Interquartile range (IQR)36.495

Descriptive statistics

Standard deviation40.960785
Coefficient of variation (CV)0.31476215
Kurtosis1.5144759
Mean130.1325
Median Absolute Deviation (MAD)18.99
Skewness1.3868871
Sum1041.06
Variance1677.7859
MonotonicityNot monotonic
2023-12-12T19:14:41.431736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
93.04 1
 
3.2%
95.02 1
 
3.2%
124.0 1
 
3.2%
133.0 1
 
3.2%
108.0 1
 
3.2%
109.0 1
 
3.2%
166.0 1
 
3.2%
213.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
93.04 1
3.2%
95.02 1
3.2%
108.0 1
3.2%
109.0 1
3.2%
124.0 1
3.2%
133.0 1
3.2%
166.0 1
3.2%
213.0 1
3.2%
ValueCountFrequency (%)
213.0 1
3.2%
166.0 1
3.2%
133.0 1
3.2%
124.0 1
3.2%
109.0 1
3.2%
108.0 1
3.2%
95.02 1
3.2%
93.04 1
3.2%

세네갈_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
348.0
 
1
1182.0
 
1
44.82
 
1

Length

Max length6
Median length4
Mean length4.1290323
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
348.0 1
 
3.2%
1182.0 1
 
3.2%
44.82 1
 
3.2%

Length

2023-12-12T19:14:41.546707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:41.643378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
348.0 1
 
3.2%
1182.0 1
 
3.2%
44.82 1
 
3.2%

세네갈_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
40754
 
1
84995
 
1
4424
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
40754 1
 
3.2%
84995 1
 
3.2%
4424 1
 
3.2%

Length

2023-12-12T19:14:41.732508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:41.816597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
40754 1
 
3.2%
84995 1
 
3.2%
4424 1
 
3.2%

세네갈_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
117.0
 
1
71.93
 
1
98.72
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
117.0 1
 
3.2%
71.93 1
 
3.2%
98.72 1
 
3.2%

Length

2023-12-12T19:14:41.908504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:41.995664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
117.0 1
 
3.2%
71.93 1
 
3.2%
98.72 1
 
3.2%

시에라리온_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
1.36
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
1.36 1
 
3.2%

Length

2023-12-12T19:14:42.082307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:42.160926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
1.36 1
 
3.2%

시에라리온_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
206
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
206 1
 
3.2%

Length

2023-12-12T19:14:42.244031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:42.327379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
206 1
 
3.2%

시에라리온_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
151
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
151 1
 
3.2%

Length

2023-12-12T19:14:42.410681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:42.491198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
151 1
 
3.2%

탄자니아_물량
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing21
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean359.795
Minimum6.58
Maximum1617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:42.569519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.58
5-th percentile8.0335
Q116.215
median75.59
Q3566.25
95-th percentile1307.4
Maximum1617
Range1610.42
Interquartile range (IQR)550.035

Descriptive statistics

Standard deviation549.47703
Coefficient of variation (CV)1.5271947
Kurtosis2.1040679
Mean359.795
Median Absolute Deviation (MAD)64.095
Skewness1.6666929
Sum3597.95
Variance301925.01
MonotonicityNot monotonic
2023-12-12T19:14:42.678434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
709.0 1
 
3.2%
1617.0 1
 
3.2%
13.74 1
 
3.2%
23.64 1
 
3.2%
6.58 1
 
3.2%
9.81 1
 
3.2%
138.0 1
 
3.2%
69.28 1
 
3.2%
81.9 1
 
3.2%
929.0 1
 
3.2%
(Missing) 21
67.7%
ValueCountFrequency (%)
6.58 1
3.2%
9.81 1
3.2%
13.74 1
3.2%
23.64 1
3.2%
69.28 1
3.2%
81.9 1
3.2%
138.0 1
3.2%
709.0 1
3.2%
929.0 1
3.2%
1617.0 1
3.2%
ValueCountFrequency (%)
1617.0 1
3.2%
929.0 1
3.2%
709.0 1
3.2%
138.0 1
3.2%
81.9 1
3.2%
69.28 1
3.2%
23.64 1
3.2%
13.74 1
3.2%
9.81 1
3.2%
6.58 1
3.2%

탄자니아_금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing21
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean41316.9
Minimum808
Maximum177829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:42.784960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum808
5-th percentile974.95
Q11556.75
median9098
Q369661
95-th percentile147261.85
Maximum177829
Range177021
Interquartile range (IQR)68104.25

Descriptive statistics

Standard deviation62199.598
Coefficient of variation (CV)1.5054275
Kurtosis1.3097849
Mean41316.9
Median Absolute Deviation (MAD)7820
Skewness1.51546
Sum413169
Variance3.86879 × 109
MonotonicityNot monotonic
2023-12-12T19:14:42.892178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
88431 1
 
3.2%
177829 1
 
3.2%
1377 1
 
3.2%
2096 1
 
3.2%
808 1
 
3.2%
1179 1
 
3.2%
13351 1
 
3.2%
6252 1
 
3.2%
11944 1
 
3.2%
109902 1
 
3.2%
(Missing) 21
67.7%
ValueCountFrequency (%)
808 1
3.2%
1179 1
3.2%
1377 1
3.2%
2096 1
3.2%
6252 1
3.2%
11944 1
3.2%
13351 1
3.2%
88431 1
3.2%
109902 1
3.2%
177829 1
3.2%
ValueCountFrequency (%)
177829 1
3.2%
109902 1
3.2%
88431 1
3.2%
13351 1
3.2%
11944 1
3.2%
6252 1
3.2%
2096 1
3.2%
1377 1
3.2%
1179 1
3.2%
808 1
3.2%

탄자니아_단가
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing21
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean111.765
Minimum88.66
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:43.043128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.66
5-th percentile89.371
Q197.4675
median114
Q3122.25
95-th percentile136.55
Maximum146
Range57.34
Interquartile range (IQR)24.7825

Descriptive statistics

Standard deviation18.091037
Coefficient of variation (CV)0.16186675
Kurtosis-0.26936194
Mean111.765
Median Absolute Deviation (MAD)12.405
Skewness0.40540799
Sum1117.65
Variance327.28563
MonotonicityNot monotonic
2023-12-12T19:14:43.212927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
125.0 1
 
3.2%
110.0 1
 
3.2%
100.19 1
 
3.2%
88.66 1
 
3.2%
123.0 1
 
3.2%
120.0 1
 
3.2%
96.56 1
 
3.2%
90.24 1
 
3.2%
146.0 1
 
3.2%
118.0 1
 
3.2%
(Missing) 21
67.7%
ValueCountFrequency (%)
88.66 1
3.2%
90.24 1
3.2%
96.56 1
3.2%
100.19 1
3.2%
110.0 1
3.2%
118.0 1
3.2%
120.0 1
3.2%
123.0 1
3.2%
125.0 1
3.2%
146.0 1
3.2%
ValueCountFrequency (%)
146.0 1
3.2%
125.0 1
3.2%
123.0 1
3.2%
120.0 1
3.2%
118.0 1
3.2%
110.0 1
3.2%
100.19 1
3.2%
96.56 1
3.2%
90.24 1
3.2%
88.66 1
3.2%

모잠비크_물량.1
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
3
 
1
321
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.7741935
Min length1

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
3 1
 
3.2%
321 1
 
3.2%
2 1
 
3.2%

Length

2023-12-12T19:14:43.393724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:43.548391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
3 1
 
3.2%
321 1
 
3.2%
2 1
 
3.2%

모잠비크_금액.1
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
303
 
1
9954
 
1
276
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
303 1
 
3.2%
9954 1
 
3.2%
276 1
 
3.2%

Length

2023-12-12T19:14:43.725910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:43.879960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
303 1
 
3.2%
9954 1
 
3.2%
276 1
 
3.2%

모잠비크_단가.1
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
100.99
 
1
31.05
 
1
138.0
 
1

Length

Max length6
Median length4
Mean length4.1290323
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
100.99 1
 
3.2%
31.05 1
 
3.2%
138.0 1
 
3.2%

Length

2023-12-12T19:14:44.064018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:44.241624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
100.99 1
 
3.2%
31.05 1
 
3.2%
138.0 1
 
3.2%

토고_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
150
 
1
966
 
1
600
 
1
5775
 
1

Length

Max length4
Median length4
Mean length3.9032258
Min length3

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
150 1
 
3.2%
966 1
 
3.2%
600 1
 
3.2%
5775 1
 
3.2%
4576 1
 
3.2%

Length

2023-12-12T19:14:44.395525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:44.515892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
150 1
 
3.2%
966 1
 
3.2%
600 1
 
3.2%
5775 1
 
3.2%
4576 1
 
3.2%

토고_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
8288
 
1
59738
 
1
52121
 
1
442386
 
1

Length

Max length6
Median length4
Mean length4.1935484
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
8288 1
 
3.2%
59738 1
 
3.2%
52121 1
 
3.2%
442386 1
 
3.2%
212155 1
 
3.2%

Length

2023-12-12T19:14:44.677321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:44.848939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
8288 1
 
3.2%
59738 1
 
3.2%
52121 1
 
3.2%
442386 1
 
3.2%
212155 1
 
3.2%

토고_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
55.26
 
1
61.87
 
1
86.88
 
1
76.6
 
1

Length

Max length5
Median length4
Mean length4.1290323
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
55.26 1
 
3.2%
61.87 1
 
3.2%
86.88 1
 
3.2%
76.6 1
 
3.2%
46.36 1
 
3.2%

Length

2023-12-12T19:14:45.021292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:45.150119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
55.26 1
 
3.2%
61.87 1
 
3.2%
86.88 1
 
3.2%
76.6 1
 
3.2%
46.36 1
 
3.2%

지부티_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
628
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
628 1
 
3.2%

Length

2023-12-12T19:14:45.322885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:45.434765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
628 1
 
3.2%

지부티_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
28033
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
28033 1
 
3.2%

Length

2023-12-12T19:14:45.566428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:45.700939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
28033 1
 
3.2%

지부티_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
44.62
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
44.62 1
 
3.2%

Length

2023-12-12T19:14:45.809135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:45.919966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
44.62 1
 
3.2%

캐나다_물량
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean550.05385
Minimum0.96
Maximum1822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:46.039006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.96
5-th percentile1.038
Q1258
median285
Q3867
95-th percentile1441
Maximum1822
Range1821.04
Interquartile range (IQR)609

Descriptive statistics

Standard deviation559.83865
Coefficient of variation (CV)1.0177888
Kurtosis0.53723419
Mean550.05385
Median Absolute Deviation (MAD)283.91
Skewness1.0763535
Sum7150.7
Variance313419.32
MonotonicityNot monotonic
2023-12-12T19:14:46.227861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
259.0 1
 
3.2%
867.0 1
 
3.2%
1822.0 1
 
3.2%
1086.0 1
 
3.2%
258.0 1
 
3.2%
260.0 1
 
3.2%
315.0 1
 
3.2%
808.0 1
 
3.2%
1.09 1
 
3.2%
1.65 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
0.96 1
3.2%
1.09 1
3.2%
1.65 1
3.2%
258.0 1
3.2%
259.0 1
3.2%
260.0 1
3.2%
285.0 1
3.2%
315.0 1
3.2%
808.0 1
3.2%
867.0 1
3.2%
ValueCountFrequency (%)
1822.0 1
3.2%
1187.0 1
3.2%
1086.0 1
3.2%
867.0 1
3.2%
808.0 1
3.2%
315.0 1
3.2%
285.0 1
3.2%
260.0 1
3.2%
259.0 1
3.2%
258.0 1
3.2%

캐나다_금액
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean32748
Minimum122
Maximum99659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:46.379636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile131.6
Q17166
median34885
Q343081
95-th percentile90280.4
Maximum99659
Range99537
Interquartile range (IQR)35915

Descriptive statistics

Standard deviation31142.859
Coefficient of variation (CV)0.95098506
Kurtosis0.6051715
Mean32748
Median Absolute Deviation (MAD)20705
Skewness1.008343
Sum425724
Variance9.6987764 × 108
MonotonicityNot monotonic
2023-12-12T19:14:46.531663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7166 1
 
3.2%
14180 1
 
3.2%
43081 1
 
3.2%
36232 1
 
3.2%
43166 1
 
3.2%
24000 1
 
3.2%
38859 1
 
3.2%
84028 1
 
3.2%
138 1
 
3.2%
208 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
122 1
3.2%
138 1
3.2%
208 1
3.2%
7166 1
3.2%
14180 1
3.2%
24000 1
3.2%
34885 1
3.2%
36232 1
3.2%
38859 1
3.2%
43081 1
3.2%
ValueCountFrequency (%)
99659 1
3.2%
84028 1
3.2%
43166 1
3.2%
43081 1
3.2%
38859 1
3.2%
36232 1
3.2%
34885 1
3.2%
24000 1
3.2%
14180 1
3.2%
7166 1
3.2%

캐나다_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean90.190769
Minimum16.36
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:46.635189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.36
5-th percentile20.734
Q133.35
median104
Q3126
95-th percentile143
Maximum167
Range150.64
Interquartile range (IQR)92.65

Descriptive statistics

Standard deviation49.29542
Coefficient of variation (CV)0.54656836
Kurtosis-1.1910808
Mean90.190769
Median Absolute Deviation (MAD)22
Skewness-0.37846315
Sum1172.48
Variance2430.0385
MonotonicityNot monotonic
2023-12-12T19:14:46.766384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
126.0 2
 
6.5%
27.67 1
 
3.2%
16.36 1
 
3.2%
23.65 1
 
3.2%
33.35 1
 
3.2%
167.0 1
 
3.2%
92.48 1
 
3.2%
123.0 1
 
3.2%
104.0 1
 
3.2%
127.0 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 18
58.1%
ValueCountFrequency (%)
16.36 1
3.2%
23.65 1
3.2%
27.67 1
3.2%
33.35 1
3.2%
83.97 1
3.2%
92.48 1
3.2%
104.0 1
3.2%
122.0 1
3.2%
123.0 1
3.2%
126.0 2
6.5%
ValueCountFrequency (%)
167.0 1
3.2%
127.0 1
3.2%
126.0 2
6.5%
123.0 1
3.2%
122.0 1
3.2%
104.0 1
3.2%
92.48 1
3.2%
83.97 1
3.2%
33.35 1
3.2%
27.67 1
3.2%

미국_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24976.484
Minimum3645
Maximum50703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:47.289696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3645
5-th percentile5691.5
Q114292.5
median21676
Q336886.5
95-th percentile45984
Maximum50703
Range47058
Interquartile range (IQR)22594

Descriptive statistics

Standard deviation13772.056
Coefficient of variation (CV)0.55140091
Kurtosis-1.1626588
Mean24976.484
Median Absolute Deviation (MAD)11539
Skewness0.21104696
Sum774271
Variance1.8966953 × 108
MonotonicityNot monotonic
2023-12-12T19:14:47.419870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
6714 1
 
3.2%
14888 1
 
3.2%
43339 1
 
3.2%
50703 1
 
3.2%
41230 1
 
3.2%
47863 1
 
3.2%
34622 1
 
3.2%
39746 1
 
3.2%
37099 1
 
3.2%
37627 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
3645 1
3.2%
4669 1
3.2%
6714 1
3.2%
8112 1
3.2%
10137 1
3.2%
10989 1
3.2%
11014 1
3.2%
13929 1
3.2%
14656 1
3.2%
14888 1
3.2%
ValueCountFrequency (%)
50703 1
3.2%
47863 1
3.2%
44105 1
3.2%
43339 1
3.2%
41230 1
3.2%
39746 1
3.2%
37627 1
3.2%
37099 1
3.2%
36674 1
3.2%
36631 1
3.2%

미국_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1865609.8
Minimum88404
Maximum6082827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:47.547992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88404
5-th percentile93470
Q1351196
median1935080
Q32944718
95-th percentile4127566
Maximum6082827
Range5994423
Interquartile range (IQR)2593522

Descriptive statistics

Standard deviation1559571.3
Coefficient of variation (CV)0.83595791
Kurtosis0.034708847
Mean1865609.8
Median Absolute Deviation (MAD)1343602
Skewness0.64058347
Sum57833905
Variance2.4322626 × 1012
MonotonicityNot monotonic
2023-12-12T19:14:47.757391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
96074 1
 
3.2%
181019 1
 
3.2%
6082827 1
 
3.2%
4515148 1
 
3.2%
1935080 1
 
3.2%
3739984 1
 
3.2%
3017135 1
 
3.2%
2663661 1
 
3.2%
2011325 1
 
3.2%
2566833 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
88404 1
3.2%
90866 1
3.2%
96074 1
3.2%
121835 1
3.2%
124262 1
3.2%
178012 1
3.2%
181019 1
3.2%
234990 1
3.2%
467402 1
3.2%
591478 1
3.2%
ValueCountFrequency (%)
6082827 1
3.2%
4515148 1
3.2%
3739984 1
3.2%
3715151 1
3.2%
3385846 1
3.2%
3298358 1
3.2%
3035026 1
3.2%
3017135 1
3.2%
2872301 1
3.2%
2714220 1
3.2%

미국_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.192581
Minimum12.16
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:47.923079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.16
5-th percentile13.285
Q125.895
median67.02
Q388.1
95-th percentile128
Maximum140
Range127.84
Interquartile range (IQR)62.205

Descriptive statistics

Standard deviation40.48475
Coefficient of variation (CV)0.64065669
Kurtosis-1.0943802
Mean63.192581
Median Absolute Deviation (MAD)37.18
Skewness0.36307366
Sum1958.97
Variance1639.0149
MonotonicityNot monotonic
2023-12-12T19:14:48.127219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
14.31 1
 
3.2%
12.16 1
 
3.2%
140.0 1
 
3.2%
89.05 1
 
3.2%
46.93 1
 
3.2%
78.14 1
 
3.2%
87.15 1
 
3.2%
67.02 1
 
3.2%
54.22 1
 
3.2%
68.22 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
12.16 1
3.2%
12.26 1
3.2%
14.31 1
3.2%
15.02 1
3.2%
16.16 1
3.2%
19.46 1
3.2%
21.38 1
3.2%
24.25 1
3.2%
27.54 1
3.2%
29.84 1
3.2%
ValueCountFrequency (%)
140.0 1
3.2%
131.0 1
3.2%
125.0 1
3.2%
123.0 1
3.2%
122.0 1
3.2%
115.0 1
3.2%
89.94 1
3.2%
89.05 1
3.2%
87.15 1
3.2%
84.23 1
3.2%

멕시코_물량
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean1068.2667
Minimum147
Maximum3814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:48.328851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum147
5-th percentile226.1
Q1312
median608
Q31506.5
95-th percentile3003.4
Maximum3814
Range3667
Interquartile range (IQR)1194.5

Descriptive statistics

Standard deviation1050.2249
Coefficient of variation (CV)0.98311118
Kurtosis2.2201586
Mean1068.2667
Median Absolute Deviation (MAD)309
Skewness1.6045819
Sum16024
Variance1102972.4
MonotonicityNot monotonic
2023-12-12T19:14:48.484369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
310 1
 
3.2%
880 1
 
3.2%
260 1
 
3.2%
1796 1
 
3.2%
505 1
 
3.2%
799 1
 
3.2%
299 1
 
3.2%
314 1
 
3.2%
533 1
 
3.2%
147 1
 
3.2%
Other values (5) 5
 
16.1%
(Missing) 16
51.6%
ValueCountFrequency (%)
147 1
3.2%
260 1
3.2%
299 1
3.2%
310 1
3.2%
314 1
3.2%
505 1
3.2%
533 1
3.2%
608 1
3.2%
799 1
3.2%
880 1
3.2%
ValueCountFrequency (%)
3814 1
3.2%
2656 1
3.2%
1886 1
3.2%
1796 1
3.2%
1217 1
3.2%
880 1
3.2%
799 1
3.2%
608 1
3.2%
533 1
3.2%
505 1
3.2%

멕시코_금액
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean93282.067
Minimum7562
Maximum257863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:48.632625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7562
5-th percentile15942.4
Q130926.5
median63130
Q3129287.5
95-th percentile256176
Maximum257863
Range250301
Interquartile range (IQR)98361

Descriptive statistics

Standard deviation85827.712
Coefficient of variation (CV)0.92008802
Kurtosis-0.21378875
Mean93282.067
Median Absolute Deviation (MAD)37121
Skewness1.0491275
Sum1399231
Variance7.3663961 × 109
MonotonicityNot monotonic
2023-12-12T19:14:48.781433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
27242 1
 
3.2%
83645 1
 
3.2%
20427 1
 
3.2%
158324 1
 
3.2%
63130 1
 
3.2%
100251 1
 
3.2%
35226 1
 
3.2%
38477 1
 
3.2%
34611 1
 
3.2%
7562 1
 
3.2%
Other values (5) 5
 
16.1%
(Missing) 16
51.6%
ValueCountFrequency (%)
7562 1
3.2%
19534 1
3.2%
20427 1
3.2%
27242 1
3.2%
34611 1
3.2%
35226 1
3.2%
38477 1
3.2%
63130 1
3.2%
83645 1
3.2%
93797 1
3.2%
ValueCountFrequency (%)
257863 1
3.2%
255453 1
3.2%
203689 1
3.2%
158324 1
3.2%
100251 1
3.2%
93797 1
3.2%
83645 1
3.2%
63130 1
3.2%
38477 1
3.2%
35226 1
3.2%

멕시코_단가
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing16
Missing (%)51.6%
Infinite0
Infinite (%)0.0%
Mean89.683333
Minimum32.1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:48.917121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.1
5-th percentile45.638
Q172.145
median87.91
Q3120
95-th percentile128.7
Maximum135
Range102.9
Interquartile range (IQR)47.855

Descriptive statistics

Standard deviation30.280722
Coefficient of variation (CV)0.33764046
Kurtosis-0.75425542
Mean89.683333
Median Absolute Deviation (MAD)23.03
Skewness-0.10961503
Sum1345.25
Variance916.92211
MonotonicityNot monotonic
2023-12-12T19:14:49.071724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
87.91 1
 
3.2%
95.03 1
 
3.2%
78.41 1
 
3.2%
88.15 1
 
3.2%
125.0 1
 
3.2%
126.0 1
 
3.2%
118.0 1
 
3.2%
122.0 1
 
3.2%
64.88 1
 
3.2%
51.44 1
 
3.2%
Other values (5) 5
 
16.1%
(Missing) 16
51.6%
ValueCountFrequency (%)
32.1 1
3.2%
51.44 1
3.2%
64.88 1
3.2%
67.61 1
3.2%
76.68 1
3.2%
77.04 1
3.2%
78.41 1
3.2%
87.91 1
3.2%
88.15 1
3.2%
95.03 1
3.2%
ValueCountFrequency (%)
135.0 1
3.2%
126.0 1
3.2%
125.0 1
3.2%
122.0 1
3.2%
118.0 1
3.2%
95.03 1
3.2%
88.15 1
3.2%
87.91 1
3.2%
78.41 1
3.2%
77.04 1
3.2%

베네수엘라_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
4.31
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
4.31 1
 
3.2%

Length

2023-12-12T19:14:49.257216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:49.377895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
4.31 1
 
3.2%

베네수엘라_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
359
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
359 1
 
3.2%

Length

2023-12-12T19:14:49.488401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:49.616670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
359 1
 
3.2%

베네수엘라_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
83.31
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
83.31 1
 
3.2%

Length

2023-12-12T19:14:49.734233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:49.849822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
83.31 1
 
3.2%

브라질_물량
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean2313.1233
Minimum56.27
Maximum9484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:49.942056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.27
5-th percentile83.198
Q1134.5
median767.5
Q33070
95-th percentile8354.35
Maximum9484
Range9427.73
Interquartile range (IQR)2935.5

Descriptive statistics

Standard deviation3144.4457
Coefficient of variation (CV)1.3593939
Kurtosis0.49447559
Mean2313.1233
Median Absolute Deviation (MAD)668.025
Skewness1.3711963
Sum41636.22
Variance9887539
MonotonicityNot monotonic
2023-12-12T19:14:50.063509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
113.0 1
 
3.2%
87.95 1
 
3.2%
111.0 1
 
3.2%
133.0 1
 
3.2%
411.0 1
 
3.2%
56.27 1
 
3.2%
140.0 1
 
3.2%
139.0 1
 
3.2%
850.0 1
 
3.2%
1952.0 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
56.27 1
3.2%
87.95 1
3.2%
111.0 1
3.2%
113.0 1
3.2%
133.0 1
3.2%
139.0 1
3.2%
140.0 1
3.2%
411.0 1
3.2%
691.0 1
3.2%
844.0 1
3.2%
ValueCountFrequency (%)
9484.0 1
3.2%
8155.0 1
3.2%
7399.0 1
3.2%
5600.0 1
3.2%
3405.0 1
3.2%
2065.0 1
3.2%
1952.0 1
3.2%
850.0 1
3.2%
844.0 1
3.2%
691.0 1
3.2%

브라질_금액
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean238897.39
Minimum6451
Maximum1202361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:50.194935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6451
5-th percentile11290.05
Q114894.75
median43491
Q3258978.75
95-th percentile1056411.7
Maximum1202361
Range1195910
Interquartile range (IQR)244084

Descriptive statistics

Standard deviation387244.32
Coefficient of variation (CV)1.6209651
Kurtosis1.7869161
Mean238897.39
Median Absolute Deviation (MAD)31297.5
Skewness1.7581832
Sum4300153
Variance1.4995816 × 1011
MonotonicityNot monotonic
2023-12-12T19:14:50.348095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
12144 1
 
3.2%
18401 1
 
3.2%
16106 1
 
3.2%
12243 1
 
3.2%
31765 1
 
3.2%
6451 1
 
3.2%
14491 1
 
3.2%
12775 1
 
3.2%
33411 1
 
3.2%
53571 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
6451 1
3.2%
12144 1
3.2%
12243 1
3.2%
12775 1
3.2%
14491 1
3.2%
16106 1
3.2%
18401 1
3.2%
31765 1
3.2%
33411 1
3.2%
53571 1
3.2%
ValueCountFrequency (%)
1202361 1
3.2%
1030656 1
3.2%
879158 1
3.2%
413573 1
3.2%
309555 1
3.2%
107250 1
3.2%
86784 1
3.2%
59458 1
3.2%
53571 1
3.2%
33411 1
3.2%

브라질_단가
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)88.9%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean101.46944
Minimum27.45
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:50.490336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.45
5-th percentile28.589
Q180.6275
median105.5
Q3126
95-th percentile154.6
Maximum209
Range181.55
Interquartile range (IQR)45.3725

Descriptive statistics

Standard deviation43.903763
Coefficient of variation (CV)0.43267964
Kurtosis1.1882856
Mean101.46944
Median Absolute Deviation (MAD)21
Skewness0.25728549
Sum1826.45
Variance1927.5404
MonotonicityNot monotonic
2023-12-12T19:14:50.614935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
127.0 2
 
6.5%
126.0 2
 
6.5%
103.0 1
 
3.2%
209.0 1
 
3.2%
145.0 1
 
3.2%
92.29 1
 
3.2%
77.2 1
 
3.2%
115.0 1
 
3.2%
39.32 1
 
3.2%
91.64 1
 
3.2%
Other values (6) 6
19.4%
(Missing) 13
41.9%
ValueCountFrequency (%)
27.45 1
3.2%
28.79 1
3.2%
39.32 1
3.2%
73.85 1
3.2%
77.2 1
3.2%
90.91 1
3.2%
91.64 1
3.2%
92.29 1
3.2%
103.0 1
3.2%
108.0 1
3.2%
ValueCountFrequency (%)
209.0 1
3.2%
145.0 1
3.2%
127.0 2
6.5%
126.0 2
6.5%
119.0 1
3.2%
115.0 1
3.2%
108.0 1
3.2%
103.0 1
3.2%
92.29 1
3.2%
91.64 1
3.2%

에콰도르_물량
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing15
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean1042.4106
Minimum0.87
Maximum4215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:50.779514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.87
5-th percentile1.2825
Q1196.75
median663
Q31484.75
95-th percentile3152.25
Maximum4215
Range4214.13
Interquartile range (IQR)1288

Descriptive statistics

Standard deviation1214.9551
Coefficient of variation (CV)1.1655245
Kurtosis1.836494
Mean1042.4106
Median Absolute Deviation (MAD)584.36
Skewness1.4889562
Sum16678.57
Variance1476115.9
MonotonicityNot monotonic
2023-12-12T19:14:50.942902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
12.28 1
 
3.2%
2798.0 1
 
3.2%
4215.0 1
 
3.2%
2531.0 1
 
3.2%
1541.0 1
 
3.2%
1104.0 1
 
3.2%
1.42 1
 
3.2%
214.0 1
 
3.2%
238.0 1
 
3.2%
527.0 1
 
3.2%
Other values (6) 6
 
19.4%
(Missing) 15
48.4%
ValueCountFrequency (%)
0.87 1
3.2%
1.42 1
3.2%
12.28 1
3.2%
145.0 1
3.2%
214.0 1
3.2%
238.0 1
3.2%
265.0 1
3.2%
527.0 1
3.2%
799.0 1
3.2%
821.0 1
3.2%
ValueCountFrequency (%)
4215.0 1
3.2%
2798.0 1
3.2%
2531.0 1
3.2%
1541.0 1
3.2%
1466.0 1
3.2%
1104.0 1
3.2%
821.0 1
3.2%
799.0 1
3.2%
527.0 1
3.2%
265.0 1
3.2%

에콰도르_금액
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing15
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean83259.938
Minimum154
Maximum396138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:51.078540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum154
5-th percentile175
Q17340.75
median55250.5
Q392222.5
95-th percentile346531.5
Maximum396138
Range395984
Interquartile range (IQR)84881.75

Descriptive statistics

Standard deviation116374.57
Coefficient of variation (CV)1.3977258
Kurtosis3.6466275
Mean83259.938
Median Absolute Deviation (MAD)48146
Skewness2.0515175
Sum1332159
Variance1.3543039 × 1010
MonotonicityNot monotonic
2023-12-12T19:14:51.230688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1244 1
 
3.2%
396138 1
 
3.2%
329996 1
 
3.2%
110794 1
 
3.2%
105262 1
 
3.2%
87876 1
 
3.2%
154 1
 
3.2%
7577 1
 
3.2%
6632 1
 
3.2%
65652 1
 
3.2%
Other values (6) 6
 
19.4%
(Missing) 15
48.4%
ValueCountFrequency (%)
154 1
3.2%
182 1
3.2%
1244 1
3.2%
6632 1
3.2%
7577 1
3.2%
14023 1
3.2%
17895 1
3.2%
53653 1
3.2%
56848 1
3.2%
65652 1
3.2%
ValueCountFrequency (%)
396138 1
3.2%
329996 1
3.2%
110794 1
3.2%
105262 1
3.2%
87876 1
3.2%
78233 1
3.2%
65652 1
3.2%
56848 1
3.2%
53653 1
3.2%
17895 1
3.2%

에콰도르_단가
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing15
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean85.708125
Minimum27.89
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:51.378460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27.89
5-th percentile33.5075
Q163.725
median73.745
Q3102.75
95-th percentile158.75
Maximum209
Range181.11
Interquartile range (IQR)39.025

Descriptive statistics

Standard deviation45.244727
Coefficient of variation (CV)0.52789309
Kurtosis2.6095205
Mean85.708125
Median Absolute Deviation (MAD)25.115
Skewness1.3767761
Sum1371.33
Variance2047.0853
MonotonicityNot monotonic
2023-12-12T19:14:51.499819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
101.0 1
 
3.2%
142.0 1
 
3.2%
78.28 1
 
3.2%
43.78 1
 
3.2%
68.32 1
 
3.2%
79.61 1
 
3.2%
108.0 1
 
3.2%
35.38 1
 
3.2%
27.89 1
 
3.2%
124.0 1
 
3.2%
Other values (6) 6
 
19.4%
(Missing) 15
48.4%
ValueCountFrequency (%)
27.89 1
3.2%
35.38 1
3.2%
43.78 1
3.2%
53.36 1
3.2%
67.18 1
3.2%
67.6 1
3.2%
68.32 1
3.2%
69.21 1
3.2%
78.28 1
3.2%
79.61 1
3.2%
ValueCountFrequency (%)
209.0 1
3.2%
142.0 1
3.2%
124.0 1
3.2%
108.0 1
3.2%
101.0 1
3.2%
96.72 1
3.2%
79.61 1
3.2%
78.28 1
3.2%
69.21 1
3.2%
68.32 1
3.2%

페루_물량
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing11
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean686.648
Minimum33
Maximum2404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:51.672687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile33.0285
Q1406.5
median549
Q3914.25
95-th percentile1557.55
Maximum2404
Range2371
Interquartile range (IQR)507.75

Descriptive statistics

Standard deviation562.63227
Coefficient of variation (CV)0.81938965
Kurtosis3.6012186
Mean686.648
Median Absolute Deviation (MAD)254.5
Skewness1.6400197
Sum13732.96
Variance316555.07
MonotonicityNot monotonic
2023-12-12T19:14:51.846985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
33.03 1
 
3.2%
33.0 1
 
3.2%
1003.0 1
 
3.2%
79.93 1
 
3.2%
648.0 1
 
3.2%
666.0 1
 
3.2%
1325.0 1
 
3.2%
2404.0 1
 
3.2%
927.0 1
 
3.2%
528.0 1
 
3.2%
Other values (10) 10
32.3%
(Missing) 11
35.5%
ValueCountFrequency (%)
33.0 1
3.2%
33.03 1
3.2%
79.93 1
3.2%
289.0 1
3.2%
300.0 1
3.2%
442.0 1
3.2%
464.0 1
3.2%
480.0 1
3.2%
483.0 1
3.2%
528.0 1
3.2%
ValueCountFrequency (%)
2404.0 1
3.2%
1513.0 1
3.2%
1325.0 1
3.2%
1003.0 1
3.2%
927.0 1
3.2%
910.0 1
3.2%
666.0 1
3.2%
648.0 1
3.2%
635.0 1
3.2%
570.0 1
3.2%

페루_금액
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing11
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean43152.8
Minimum4656
Maximum130595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:51.987933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4656
5-th percentile5332.4
Q113427.75
median29797.5
Q355520.5
95-th percentile122896.2
Maximum130595
Range125939
Interquartile range (IQR)42092.75

Descriptive statistics

Standard deviation38433.414
Coefficient of variation (CV)0.89063546
Kurtosis0.33324101
Mean43152.8
Median Absolute Deviation (MAD)20932.5
Skewness1.0951369
Sum863056
Variance1.4771273 × 109
MonotonicityNot monotonic
2023-12-12T19:14:52.103825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4656 1
 
3.2%
5368 1
 
3.2%
83293 1
 
3.2%
8951 1
 
3.2%
53354 1
 
3.2%
58351 1
 
3.2%
93209 1
 
3.2%
130595 1
 
3.2%
49714 1
 
3.2%
13427 1
 
3.2%
Other values (10) 10
32.3%
(Missing) 11
35.5%
ValueCountFrequency (%)
4656 1
3.2%
5368 1
3.2%
8951 1
3.2%
11482 1
3.2%
13427 1
3.2%
13428 1
3.2%
14464 1
3.2%
15094 1
3.2%
20191 1
3.2%
22850 1
3.2%
ValueCountFrequency (%)
130595 1
3.2%
122491 1
3.2%
93209 1
3.2%
83293 1
3.2%
58351 1
3.2%
54577 1
3.2%
53354 1
3.2%
50816 1
3.2%
49714 1
3.2%
36745 1
3.2%

페루_단가
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing11
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean71.155
Minimum23.78
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:52.202748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.78
5-th percentile25.3665
Q148.7625
median70.135
Q383.7925
95-th percentile142.1
Maximum163
Range139.22
Interquartile range (IQR)35.03

Descriptive statistics

Standard deviation36.919978
Coefficient of variation (CV)0.51886696
Kurtosis0.94823608
Mean71.155
Median Absolute Deviation (MAD)16.16
Skewness0.9119218
Sum1423.1
Variance1363.0848
MonotonicityNot monotonic
2023-12-12T19:14:52.302600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
141.0 1
 
3.2%
163.0 1
 
3.2%
83.08 1
 
3.2%
112.0 1
 
3.2%
82.37 1
 
3.2%
87.59 1
 
3.2%
70.37 1
 
3.2%
54.32 1
 
3.2%
53.63 1
 
3.2%
25.45 1
 
3.2%
Other values (10) 10
32.3%
(Missing) 11
35.5%
ValueCountFrequency (%)
23.78 1
3.2%
25.45 1
3.2%
28.93 1
3.2%
30.15 1
3.2%
34.16 1
3.2%
53.63 1
3.2%
54.32 1
3.2%
55.85 1
3.2%
64.44 1
3.2%
69.9 1
3.2%
ValueCountFrequency (%)
163.0 1
3.2%
141.0 1
3.2%
112.0 1
3.2%
87.59 1
3.2%
85.93 1
3.2%
83.08 1
3.2%
82.37 1
3.2%
80.98 1
3.2%
76.17 1
3.2%
70.37 1
3.2%

아르헨티나_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean196.4325
Minimum0.28
Maximum366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:52.408762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.28
5-th percentile1.0045
Q16.46
median289
Q3305.75
95-th percentile347.8
Maximum366
Range365.72
Interquartile range (IQR)299.29

Descriptive statistics

Standard deviation161.62394
Coefficient of variation (CV)0.82279635
Kurtosis-2.1556969
Mean196.4325
Median Absolute Deviation (MAD)51
Skewness-0.55263248
Sum1571.46
Variance26122.299
MonotonicityNot monotonic
2023-12-12T19:14:52.514508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
314.0 1
 
3.2%
295.0 1
 
3.2%
283.0 1
 
3.2%
0.28 1
 
3.2%
2.35 1
 
3.2%
303.0 1
 
3.2%
7.83 1
 
3.2%
366.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.28 1
3.2%
2.35 1
3.2%
7.83 1
3.2%
283.0 1
3.2%
295.0 1
3.2%
303.0 1
3.2%
314.0 1
3.2%
366.0 1
3.2%
ValueCountFrequency (%)
366.0 1
3.2%
314.0 1
3.2%
303.0 1
3.2%
295.0 1
3.2%
283.0 1
3.2%
7.83 1
3.2%
2.35 1
3.2%
0.28 1
3.2%

아르헨티나_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean10811.45
Minimum43.6
Maximum52857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:52.642916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.6
5-th percentile120.04
Q1688
median5365
Q39145.75
95-th percentile39383.75
Maximum52857
Range52813.4
Interquartile range (IQR)8457.75

Descriptive statistics

Standard deviation17648.39
Coefficient of variation (CV)1.6323795
Kurtosis6.2800991
Mean10811.45
Median Absolute Deviation (MAD)4819
Skewness2.445069
Sum86491.6
Variance3.1146566 × 108
MonotonicityNot monotonic
2023-12-12T19:14:52.782020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6375.0 1
 
3.2%
4355.0 1
 
3.2%
7407.0 1
 
3.2%
43.6 1
 
3.2%
262.0 1
 
3.2%
14362.0 1
 
3.2%
830.0 1
 
3.2%
52857.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
43.6 1
3.2%
262.0 1
3.2%
830.0 1
3.2%
4355.0 1
3.2%
6375.0 1
3.2%
7407.0 1
3.2%
14362.0 1
3.2%
52857.0 1
3.2%
ValueCountFrequency (%)
52857.0 1
3.2%
14362.0 1
3.2%
7407.0 1
3.2%
6375.0 1
3.2%
4355.0 1
3.2%
830.0 1
3.2%
262.0 1
3.2%
43.6 1
3.2%

아르헨티나_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean78.08625
Minimum14.76
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:52.894990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.76
5-th percentile16.6955
Q124.7075
median76.73
Q3120
95-th percentile150.5
Maximum154
Range139.24
Interquartile range (IQR)95.2925

Descriptive statistics

Standard deviation57.345676
Coefficient of variation (CV)0.73438891
Kurtosis-2.0658246
Mean78.08625
Median Absolute Deviation (MAD)53.495
Skewness0.17071583
Sum624.69
Variance3288.5266
MonotonicityNot monotonic
2023-12-12T19:14:53.032179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20.29 1
 
3.2%
14.76 1
 
3.2%
26.18 1
 
3.2%
154.0 1
 
3.2%
112.0 1
 
3.2%
47.46 1
 
3.2%
106.0 1
 
3.2%
144.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
14.76 1
3.2%
20.29 1
3.2%
26.18 1
3.2%
47.46 1
3.2%
106.0 1
3.2%
112.0 1
3.2%
144.0 1
3.2%
154.0 1
3.2%
ValueCountFrequency (%)
154.0 1
3.2%
144.0 1
3.2%
112.0 1
3.2%
106.0 1
3.2%
47.46 1
3.2%
26.18 1
3.2%
20.29 1
3.2%
14.76 1
3.2%

콜롬비아_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean63.89375
Minimum0.2
Maximum315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:53.164034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.571
Q11.395
median19.24
Q371.2975
95-th percentile236.096
Maximum315
Range314.8
Interquartile range (IQR)69.9025

Descriptive statistics

Standard deviation106.74542
Coefficient of variation (CV)1.6706707
Kurtosis5.751078
Mean63.89375
Median Absolute Deviation (MAD)18.51
Skewness2.3334233
Sum511.15
Variance11394.584
MonotonicityNot monotonic
2023-12-12T19:14:53.313868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
315.0 1
 
3.2%
1.44 1
 
3.2%
0.2 1
 
3.2%
1.26 1
 
3.2%
9.78 1
 
3.2%
89.56 1
 
3.2%
28.7 1
 
3.2%
65.21 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.2 1
3.2%
1.26 1
3.2%
1.44 1
3.2%
9.78 1
3.2%
28.7 1
3.2%
65.21 1
3.2%
89.56 1
3.2%
315.0 1
3.2%
ValueCountFrequency (%)
315.0 1
3.2%
89.56 1
3.2%
65.21 1
3.2%
28.7 1
3.2%
9.78 1
3.2%
1.44 1
3.2%
1.26 1
3.2%
0.2 1
3.2%

콜롬비아_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean5380.37
Minimum30.96
Maximum19891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:53.464482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.96
5-th percentile65.974
Q1152.75
median2512
Q37673.5
95-th percentile16905.85
Maximum19891
Range19860.04
Interquartile range (IQR)7520.75

Descriptive statistics

Standard deviation7098.0467
Coefficient of variation (CV)1.3192488
Kurtosis1.6305837
Mean5380.37
Median Absolute Deviation (MAD)2431.02
Skewness1.458083
Sum43042.96
Variance50382267
MonotonicityNot monotonic
2023-12-12T19:14:53.610467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
19891.0 1
 
3.2%
160.0 1
 
3.2%
30.96 1
 
3.2%
131.0 1
 
3.2%
880.0 1
 
3.2%
6444.0 1
 
3.2%
4144.0 1
 
3.2%
11362.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
30.96 1
3.2%
131.0 1
3.2%
160.0 1
3.2%
880.0 1
3.2%
4144.0 1
3.2%
6444.0 1
3.2%
11362.0 1
3.2%
19891.0 1
3.2%
ValueCountFrequency (%)
19891.0 1
3.2%
11362.0 1
3.2%
6444.0 1
3.2%
4144.0 1
3.2%
880.0 1
3.2%
160.0 1
3.2%
131.0 1
3.2%
30.96 1
3.2%

콜롬비아_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean114.0125
Minimum63.17
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:53.768567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.17
5-th percentile66.2465
Q185.4675
median107.5
Q3146.5
95-th percentile167
Maximum174
Range110.83
Interquartile range (IQR)61.0325

Descriptive statistics

Standard deviation39.888219
Coefficient of variation (CV)0.3498583
Kurtosis-1.3152459
Mean114.0125
Median Absolute Deviation (MAD)36.02
Skewness0.25826224
Sum912.1
Variance1591.07
MonotonicityNot monotonic
2023-12-12T19:14:53.909397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
63.17 1
 
3.2%
111.0 1
 
3.2%
154.0 1
 
3.2%
104.0 1
 
3.2%
89.97 1
 
3.2%
71.96 1
 
3.2%
144.0 1
 
3.2%
174.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
63.17 1
3.2%
71.96 1
3.2%
89.97 1
3.2%
104.0 1
3.2%
111.0 1
3.2%
144.0 1
3.2%
154.0 1
3.2%
174.0 1
3.2%
ValueCountFrequency (%)
174.0 1
3.2%
154.0 1
3.2%
144.0 1
3.2%
111.0 1
3.2%
104.0 1
3.2%
89.97 1
3.2%
71.96 1
3.2%
63.17 1
3.2%

푸에르토리코_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
225.0
 
1
493.0
 
1
1.71
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
225.0 1
 
3.2%
493.0 1
 
3.2%
1.71 1
 
3.2%

Length

2023-12-12T19:14:54.096557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:54.283090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
225.0 1
 
3.2%
493.0 1
 
3.2%
1.71 1
 
3.2%

푸에르토리코_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
14098
 
1
45563
 
1
459
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
14098 1
 
3.2%
45563 1
 
3.2%
459 1
 
3.2%

Length

2023-12-12T19:14:54.451810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:54.598084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
14098 1
 
3.2%
45563 1
 
3.2%
459 1
 
3.2%

푸에르토리코_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
62.59
 
1
92.36
 
1
268.0
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
62.59 1
 
3.2%
92.36 1
 
3.2%
268.0 1
 
3.2%

Length

2023-12-12T19:14:54.733709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:54.869985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
62.59 1
 
3.2%
92.36 1
 
3.2%
268.0 1
 
3.2%

아루바_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
735
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
735 1
 
3.2%

Length

2023-12-12T19:14:55.009801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:55.153827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
735 1
 
3.2%

아루바_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
83867
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
83867 1
 
3.2%

Length

2023-12-12T19:14:55.298423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:55.425657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
83867 1
 
3.2%

아루바_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
114
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
114 1
 
3.2%

Length

2023-12-12T19:14:55.570654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:55.685199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
114 1
 
3.2%

바하마_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
760
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
760 1
 
3.2%

Length

2023-12-12T19:14:55.800412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:55.902563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
760 1
 
3.2%

바하마_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
88388
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
88388 1
 
3.2%

Length

2023-12-12T19:14:56.027784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:56.147551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
88388 1
 
3.2%

바하마_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
116
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
116 1
 
3.2%

Length

2023-12-12T19:14:56.249647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:56.344387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
116 1
 
3.2%

칠레_물량
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean3643.88
Minimum227
Maximum21021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:56.436036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum227
5-th percentile384.2
Q1962
median1645
Q33500
95-th percentile12218.4
Maximum21021
Range20794
Interquartile range (IQR)2538

Descriptive statistics

Standard deviation4977.5839
Coefficient of variation (CV)1.366012
Kurtosis5.5655625
Mean3643.88
Median Absolute Deviation (MAD)1011
Skewness2.3230578
Sum91097
Variance24776342
MonotonicityNot monotonic
2023-12-12T19:14:56.881754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
227 1
 
3.2%
616 1
 
3.2%
1919 1
 
3.2%
1108 1
 
3.2%
962 1
 
3.2%
2763 1
 
3.2%
1645 1
 
3.2%
1959 1
 
3.2%
642 1
 
3.2%
338 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
227 1
3.2%
338 1
3.2%
569 1
3.2%
616 1
3.2%
634 1
3.2%
642 1
3.2%
962 1
3.2%
1108 1
3.2%
1250 1
3.2%
1270 1
3.2%
ValueCountFrequency (%)
21021 1
3.2%
12347 1
3.2%
11704 1
3.2%
9103 1
3.2%
6919 1
3.2%
4062 1
3.2%
3500 1
3.2%
2763 1
3.2%
1959 1
3.2%
1919 1
3.2%

칠레_금액
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean303155.4
Minimum3230
Maximum1853793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:57.006248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3230
5-th percentile11276.4
Q151630
median114065
Q3231370
95-th percentile1418537.6
Maximum1853793
Range1850563
Interquartile range (IQR)179740

Descriptive statistics

Standard deviation479090.86
Coefficient of variation (CV)1.5803474
Kurtosis5.008046
Mean303155.4
Median Absolute Deviation (MAD)65661
Skewness2.3608009
Sum7578885
Variance2.2952805 × 1011
MonotonicityNot monotonic
2023-12-12T19:14:57.157437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3230 1
 
3.2%
87207 1
 
3.2%
163560 1
 
3.2%
58374 1
 
3.2%
77460 1
 
3.2%
231370 1
 
3.2%
114065 1
 
3.2%
113262 1
 
3.2%
40408 1
 
3.2%
40052 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
3230 1
3.2%
9305 1
3.2%
19162 1
3.2%
40052 1
3.2%
40408 1
3.2%
48404 1
3.2%
51630 1
3.2%
58374 1
3.2%
77460 1
3.2%
84089 1
3.2%
ValueCountFrequency (%)
1853793 1
3.2%
1511887 1
3.2%
1045140 1
3.2%
635156 1
3.2%
547858 1
3.2%
238352 1
3.2%
231370 1
3.2%
166921 1
3.2%
163560 1
3.2%
156522 1
3.2%

칠레_단가
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean73.6728
Minimum14.21
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:57.332686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.21
5-th percentile18.5
Q148.05
median69.78
Q389.3
95-th percentile129.2
Maximum142
Range127.79
Interquartile range (IQR)41.25

Descriptive statistics

Standard deviation37.493005
Coefficient of variation (CV)0.50891245
Kurtosis-0.92720779
Mean73.6728
Median Absolute Deviation (MAD)21.73
Skewness0.15008653
Sum1841.82
Variance1405.7254
MonotonicityNot monotonic
2023-12-12T19:14:57.495417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
122.0 3
 
9.7%
131.0 1
 
3.2%
142.0 1
 
3.2%
85.25 1
 
3.2%
52.69 1
 
3.2%
80.51 1
 
3.2%
83.74 1
 
3.2%
69.32 1
 
3.2%
57.83 1
 
3.2%
62.9 1
 
3.2%
Other values (13) 13
41.9%
(Missing) 6
19.4%
ValueCountFrequency (%)
14.21 1
3.2%
16.36 1
3.2%
27.06 1
3.2%
30.21 1
3.2%
30.22 1
3.2%
31.91 1
3.2%
48.05 1
3.2%
52.69 1
3.2%
57.83 1
3.2%
62.9 1
3.2%
ValueCountFrequency (%)
142.0 1
 
3.2%
131.0 1
 
3.2%
122.0 3
9.7%
118.0 1
 
3.2%
89.3 1
 
3.2%
88.19 1
 
3.2%
85.25 1
 
3.2%
83.74 1
 
3.2%
80.51 1
 
3.2%
79.18 1
 
3.2%

파나마_물량
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean523.40647
Minimum2.87
Maximum2597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:57.646509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.87
5-th percentile42.814
Q1273
median433
Q3584
95-th percentile1233
Maximum2597
Range2594.13
Interquartile range (IQR)311

Descriptive statistics

Standard deviation582.46434
Coefficient of variation (CV)1.1128337
Kurtosis11.127717
Mean523.40647
Median Absolute Deviation (MAD)152
Skewness3.0700007
Sum8897.91
Variance339264.7
MonotonicityNot monotonic
2023-12-12T19:14:57.776932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
433.0 1
 
3.2%
315.0 1
 
3.2%
299.0 1
 
3.2%
52.8 1
 
3.2%
85.24 1
 
3.2%
2.87 1
 
3.2%
481.0 1
 
3.2%
892.0 1
 
3.2%
2597.0 1
 
3.2%
543.0 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
2.87 1
3.2%
52.8 1
3.2%
85.24 1
3.2%
200.0 1
3.2%
273.0 1
3.2%
299.0 1
3.2%
315.0 1
3.2%
384.0 1
3.2%
433.0 1
3.2%
481.0 1
3.2%
ValueCountFrequency (%)
2597.0 1
3.2%
892.0 1
3.2%
618.0 1
3.2%
585.0 1
3.2%
584.0 1
3.2%
553.0 1
3.2%
543.0 1
3.2%
481.0 1
3.2%
433.0 1
3.2%
384.0 1
3.2%

파나마_금액
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean32387.412
Minimum303
Maximum112579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:57.937125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum303
5-th percentile2936.6
Q19137
median27303
Q344350
95-th percentile81325.4
Maximum112579
Range112276
Interquartile range (IQR)35213

Descriptive statistics

Standard deviation29390.998
Coefficient of variation (CV)0.90748214
Kurtosis2.1955823
Mean32387.412
Median Absolute Deviation (MAD)18166
Skewness1.3774226
Sum550586
Variance8.6383075 × 108
MonotonicityNot monotonic
2023-12-12T19:14:58.083790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9137 1
 
3.2%
35641 1
 
3.2%
21906 1
 
3.2%
3595 1
 
3.2%
6175 1
 
3.2%
303 1
 
3.2%
58793 1
 
3.2%
112579 1
 
3.2%
38352 1
 
3.2%
49485 1
 
3.2%
Other values (7) 7
22.6%
(Missing) 14
45.2%
ValueCountFrequency (%)
303 1
3.2%
3595 1
3.2%
6175 1
3.2%
8210 1
3.2%
9137 1
3.2%
10608 1
3.2%
16955 1
3.2%
21906 1
3.2%
27303 1
3.2%
33682 1
3.2%
ValueCountFrequency (%)
112579 1
3.2%
73512 1
3.2%
58793 1
3.2%
49485 1
3.2%
44350 1
3.2%
38352 1
3.2%
35641 1
3.2%
33682 1
3.2%
27303 1
3.2%
21906 1
3.2%

파나마_단가
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing14
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean73.647647
Minimum14.77
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:14:58.218718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.77
5-th percentile19.818
Q153
median72.44
Q3106
95-th percentile126
Maximum126
Range111.23
Interquartile range (IQR)53

Descriptive statistics

Standard deviation36.752905
Coefficient of variation (CV)0.49903706
Kurtosis-1.0570084
Mean73.647647
Median Absolute Deviation (MAD)33.56
Skewness-0.05925874
Sum1252.01
Variance1350.776
MonotonicityNot monotonic
2023-12-12T19:14:58.360911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
126.0 2
 
6.5%
113.0 1
 
3.2%
73.17 1
 
3.2%
68.09 1
 
3.2%
72.44 1
 
3.2%
106.0 1
 
3.2%
122.0 1
 
3.2%
14.77 1
 
3.2%
21.08 1
 
3.2%
75.86 1
 
3.2%
Other values (6) 6
19.4%
(Missing) 14
45.2%
ValueCountFrequency (%)
14.77 1
3.2%
21.08 1
3.2%
27.44 1
3.2%
30.1 1
3.2%
53.0 1
3.2%
60.93 1
3.2%
68.09 1
3.2%
71.05 1
3.2%
72.44 1
3.2%
73.17 1
3.2%
ValueCountFrequency (%)
126.0 2
6.5%
122.0 1
3.2%
113.0 1
3.2%
106.0 1
3.2%
91.08 1
3.2%
75.86 1
3.2%
73.17 1
3.2%
72.44 1
3.2%
71.05 1
3.2%
68.09 1
3.2%

트리니다드토바고_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
18.92
 
1
1387.0
 
1
1498.0
 
1
749.0
 
1

Length

Max length6
Median length4
Mean length4.1935484
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
18.92 1
 
3.2%
1387.0 1
 
3.2%
1498.0 1
 
3.2%
749.0 1
 
3.2%

Length

2023-12-12T19:14:58.544441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:58.698601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
18.92 1
 
3.2%
1387.0 1
 
3.2%
1498.0 1
 
3.2%
749.0 1
 
3.2%

트리니다드토바고_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
3199
 
1
86597
 
1
63754
 
1
58029
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
3199 1
 
3.2%
86597 1
 
3.2%
63754 1
 
3.2%
58029 1
 
3.2%

Length

2023-12-12T19:14:58.848591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:58.990749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
3199 1
 
3.2%
86597 1
 
3.2%
63754 1
 
3.2%
58029 1
 
3.2%

트리니다드토바고_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
169.0
 
1
62.42
 
1
42.57
 
1
77.5
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
169.0 1
 
3.2%
62.42 1
 
3.2%
42.57 1
 
3.2%
77.5 1
 
3.2%

Length

2023-12-12T19:14:59.154725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:59.331543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
169.0 1
 
3.2%
62.42 1
 
3.2%
42.57 1
 
3.2%
77.5 1
 
3.2%

엘살바도르_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
224
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
224 1
 
3.2%

Length

2023-12-12T19:14:59.524464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:59.658439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
224 1
 
3.2%

엘살바도르_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
3562
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
3562 1
 
3.2%

Length

2023-12-12T19:14:59.794718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:14:59.919446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
3562 1
 
3.2%

엘살바도르_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
15.91
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
15.91 1
 
3.2%

Length

2023-12-12T19:15:00.073679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:00.231741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
15.91 1
 
3.2%

도미니카공화국_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
4.89
 
1
2.85
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
4.89 1
 
3.2%
2.85 1
 
3.2%

Length

2023-12-12T19:15:00.368119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:00.482965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
4.89 1
 
3.2%
2.85 1
 
3.2%

도미니카공화국_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
425
 
1
238
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
425 1
 
3.2%
238 1
 
3.2%

Length

2023-12-12T19:15:00.615016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:00.749599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
425 1
 
3.2%
238 1
 
3.2%

도미니카공화국_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
86.76
 
1
83.54
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
86.76 1
 
3.2%
83.54 1
 
3.2%

Length

2023-12-12T19:15:00.893015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:01.015022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
86.76 1
 
3.2%
83.54 1
 
3.2%

안틸리스_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
1996
 
1
2411
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
1996 1
 
3.2%
2411 1
 
3.2%

Length

2023-12-12T19:15:01.141253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:01.264646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
1996 1
 
3.2%
2411 1
 
3.2%

안틸리스_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
57517
 
1
183367
 
1

Length

Max length6
Median length4
Mean length4.0967742
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
57517 1
 
3.2%
183367 1
 
3.2%

Length

2023-12-12T19:15:01.398306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:01.531828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
57517 1
 
3.2%
183367 1
 
3.2%

안틸리스_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
28.82
 
1
76.06
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
28.82 1
 
3.2%
76.06 1
 
3.2%

Length

2023-12-12T19:15:01.656382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:01.761004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
28.82 1
 
3.2%
76.06 1
 
3.2%

과테말라_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean673.625
Minimum131
Maximum1529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:01.855077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile172.3
Q1298.5
median663.5
Q3918
95-th percentile1316.2
Maximum1529
Range1398
Interquartile range (IQR)619.5

Descriptive statistics

Standard deviation465.45797
Coefficient of variation (CV)0.69097491
Kurtosis0.068735979
Mean673.625
Median Absolute Deviation (MAD)303
Skewness0.700942
Sum5389
Variance216651.12
MonotonicityNot monotonic
2023-12-12T19:15:01.984211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
131 1
 
3.2%
838 1
 
3.2%
489 1
 
3.2%
1529 1
 
3.2%
921 1
 
3.2%
249 1
 
3.2%
917 1
 
3.2%
315 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
131 1
3.2%
249 1
3.2%
315 1
3.2%
489 1
3.2%
838 1
3.2%
917 1
3.2%
921 1
3.2%
1529 1
3.2%
ValueCountFrequency (%)
1529 1
3.2%
921 1
3.2%
917 1
3.2%
838 1
3.2%
489 1
3.2%
315 1
3.2%
249 1
3.2%
131 1
3.2%

과테말라_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean50787.25
Minimum6425
Maximum93079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:02.103678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6425
5-th percentile9292.2
Q133286.75
median56128
Q368220.75
95-th percentile86462.6
Maximum93079
Range86654
Interquartile range (IQR)34934

Descriptive statistics

Standard deviation29625.926
Coefficient of variation (CV)0.58333394
Kurtosis-0.81325302
Mean50787.25
Median Absolute Deviation (MAD)17332.5
Skewness-0.3068216
Sum406298
Variance8.7769552 × 108
MonotonicityNot monotonic
2023-12-12T19:15:02.210672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6425 1
 
3.2%
66236 1
 
3.2%
63514 1
 
3.2%
93079 1
 
3.2%
48742 1
 
3.2%
14617 1
 
3.2%
74175 1
 
3.2%
39510 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
6425 1
3.2%
14617 1
3.2%
39510 1
3.2%
48742 1
3.2%
63514 1
3.2%
66236 1
3.2%
74175 1
3.2%
93079 1
3.2%
ValueCountFrequency (%)
93079 1
3.2%
74175 1
3.2%
66236 1
3.2%
63514 1
3.2%
48742 1
3.2%
39510 1
3.2%
14617 1
3.2%
6425 1
3.2%

과테말라_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean79.6725
Minimum49.01
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:02.315725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.01
5-th percentile50.3785
Q157.2175
median69.975
Q392.1375
95-th percentile128.6
Maximum130
Range80.99
Interquartile range (IQR)34.92

Descriptive statistics

Standard deviation31.920797
Coefficient of variation (CV)0.40065013
Kurtosis-0.69336576
Mean79.6725
Median Absolute Deviation (MAD)14.19
Skewness0.95444948
Sum637.38
Variance1018.9373
MonotonicityNot monotonic
2023-12-12T19:15:02.444382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
49.01 1
 
3.2%
79.09 1
 
3.2%
130.0 1
 
3.2%
60.86 1
 
3.2%
52.92 1
 
3.2%
58.65 1
 
3.2%
80.85 1
 
3.2%
126.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
49.01 1
3.2%
52.92 1
3.2%
58.65 1
3.2%
60.86 1
3.2%
79.09 1
3.2%
80.85 1
3.2%
126.0 1
3.2%
130.0 1
3.2%
ValueCountFrequency (%)
130.0 1
3.2%
126.0 1
3.2%
80.85 1
3.2%
79.09 1
3.2%
60.86 1
3.2%
58.65 1
3.2%
52.92 1
3.2%
49.01 1
3.2%

파라과이_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
0.15
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
0.15 1
 
3.2%

Length

2023-12-12T19:15:02.615748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:02.754063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
0.15 1
 
3.2%

파라과이_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
22.43
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
22.43 1
 
3.2%

Length

2023-12-12T19:15:02.889298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:03.021564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
22.43 1
 
3.2%

파라과이_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
149
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
149 1
 
3.2%

Length

2023-12-12T19:15:03.157442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:03.277193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
149 1
 
3.2%

이란_물량
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean60.251667
Minimum0.2
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:03.391954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile5.78
Q122.7375
median29.985
Q345.01
95-th percentile185.205
Maximum231
Range230.8
Interquartile range (IQR)22.2725

Descriptive statistics

Standard deviation85.156974
Coefficient of variation (CV)1.4133547
Kurtosis5.293862
Mean60.251667
Median Absolute Deviation (MAD)12.65
Skewness2.2553996
Sum361.51
Variance7251.7103
MonotonicityNot monotonic
2023-12-12T19:15:03.516190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
231.0 1
 
3.2%
36.58 1
 
3.2%
23.39 1
 
3.2%
47.82 1
 
3.2%
22.52 1
 
3.2%
0.2 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
0.2 1
3.2%
22.52 1
3.2%
23.39 1
3.2%
36.58 1
3.2%
47.82 1
3.2%
231.0 1
3.2%
ValueCountFrequency (%)
231.0 1
3.2%
47.82 1
3.2%
36.58 1
3.2%
23.39 1
3.2%
22.52 1
3.2%
0.2 1
3.2%

이란_금액
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean2948.3667
Minimum18.2
Maximum4183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:03.641968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.2
5-th percentile727.15
Q12856.75
median3306.5
Q33953.5
95-th percentile4142.75
Maximum4183
Range4164.8
Interquartile range (IQR)1096.75

Descriptive statistics

Standard deviation1543.9011
Coefficient of variation (CV)0.52364624
Kurtosis3.3325184
Mean2948.3667
Median Absolute Deviation (MAD)584
Skewness-1.7550086
Sum17690.2
Variance2383630.6
MonotonicityNot monotonic
2023-12-12T19:15:03.782558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3748.0 1
 
3.2%
4183.0 1
 
3.2%
2854.0 1
 
3.2%
4022.0 1
 
3.2%
2865.0 1
 
3.2%
18.2 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
18.2 1
3.2%
2854.0 1
3.2%
2865.0 1
3.2%
3748.0 1
3.2%
4022.0 1
3.2%
4183.0 1
3.2%
ValueCountFrequency (%)
4183.0 1
3.2%
4022.0 1
3.2%
3748.0 1
3.2%
2865.0 1
3.2%
2854.0 1
3.2%
18.2 1
3.2%

이란_단가
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean92.3
Minimum16.22
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:03.921446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.22
5-th percentile33.195
Q185.705
median102.23
Q3120
95-th percentile125.75
Maximum127
Range110.78
Interquartile range (IQR)34.295

Descriptive statistics

Standard deviation41.025686
Coefficient of variation (CV)0.44448197
Kurtosis2.6350166
Mean92.3
Median Absolute Deviation (MAD)18.94
Skewness-1.575883
Sum553.8
Variance1683.1069
MonotonicityNot monotonic
2023-12-12T19:15:04.044152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
16.22 1
 
3.2%
114.0 1
 
3.2%
122.0 1
 
3.2%
84.12 1
 
3.2%
127.0 1
 
3.2%
90.46 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
16.22 1
3.2%
84.12 1
3.2%
90.46 1
3.2%
114.0 1
3.2%
122.0 1
3.2%
127.0 1
3.2%
ValueCountFrequency (%)
127.0 1
3.2%
122.0 1
3.2%
114.0 1
3.2%
90.46 1
3.2%
84.12 1
3.2%
16.22 1
3.2%

이라크_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
2.52
 
1
0.6
 
1
787.0
 
1
1363.0
 
1

Length

Max length6
Median length4
Mean length4.0645161
Min length3

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
2.52 1
 
3.2%
0.6 1
 
3.2%
787.0 1
 
3.2%
1363.0 1
 
3.2%

Length

2023-12-12T19:15:04.202378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:04.332522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
2.52 1
 
3.2%
0.6 1
 
3.2%
787.0 1
 
3.2%
1363.0 1
 
3.2%

이라크_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
398.0
 
1
57.67
 
1
68223.0
 
1
168189.0
 
1

Length

Max length8
Median length4
Mean length4.2903226
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
398.0 1
 
3.2%
57.67 1
 
3.2%
68223.0 1
 
3.2%
168189.0 1
 
3.2%

Length

2023-12-12T19:15:04.470389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:04.602110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
398.0 1
 
3.2%
57.67 1
 
3.2%
68223.0 1
 
3.2%
168189.0 1
 
3.2%

이라크_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
158.0
 
1
96.3
 
1
86.65
 
1
123.0
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
158.0 1
 
3.2%
96.3 1
 
3.2%
86.65 1
 
3.2%
123.0 1
 
3.2%

Length

2023-12-12T19:15:04.732454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:04.862882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
158.0 1
 
3.2%
96.3 1
 
3.2%
86.65 1
 
3.2%
123.0 1
 
3.2%

쿠웨이트_물량
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean13.616667
Minimum0.15
Maximum55.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:04.990259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.185
Q10.3175
median0.915
Q318.365
95-th percentile47.5675
Maximum55.42
Range55.27
Interquartile range (IQR)18.0475

Descriptive statistics

Standard deviation22.528588
Coefficient of variation (CV)1.6544862
Kurtosis2.3982695
Mean13.616667
Median Absolute Deviation (MAD)0.695
Skewness1.7119113
Sum81.7
Variance507.53727
MonotonicityNot monotonic
2023-12-12T19:15:05.182200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
24.01 1
 
3.2%
55.42 1
 
3.2%
0.29 1
 
3.2%
0.15 1
 
3.2%
0.4 1
 
3.2%
1.43 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
0.15 1
3.2%
0.29 1
3.2%
0.4 1
3.2%
1.43 1
3.2%
24.01 1
3.2%
55.42 1
3.2%
ValueCountFrequency (%)
55.42 1
3.2%
24.01 1
3.2%
1.43 1
3.2%
0.4 1
3.2%
0.29 1
3.2%
0.15 1
3.2%

쿠웨이트_금액
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean737.43833
Minimum15.69
Maximum3846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:05.302404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.69
5-th percentile20.1475
Q139.745
median83.71
Q3298.75
95-th percentile2975
Maximum3846
Range3830.31
Interquartile range (IQR)259.005

Descriptive statistics

Standard deviation1528.1709
Coefficient of variation (CV)2.0722694
Kurtosis5.8514815
Mean737.43833
Median Absolute Deviation (MAD)59.105
Skewness2.4125747
Sum4424.63
Variance2335306.4
MonotonicityNot monotonic
2023-12-12T19:15:05.475000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
362.0 1
 
3.2%
3846.0 1
 
3.2%
33.52 1
 
3.2%
15.69 1
 
3.2%
58.42 1
 
3.2%
109.0 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
15.69 1
3.2%
33.52 1
3.2%
58.42 1
3.2%
109.0 1
3.2%
362.0 1
3.2%
3846.0 1
3.2%
ValueCountFrequency (%)
3846.0 1
3.2%
362.0 1
3.2%
109.0 1
3.2%
58.42 1
3.2%
33.52 1
3.2%
15.69 1
3.2%

쿠웨이트_단가
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean87.753333
Minimum15.07
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:05.626155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.07
5-th percentile28.65
Q171.0575
median90.53
Q3113.25
95-th percentile137.75
Maximum145
Range129.93
Interquartile range (IQR)42.1925

Descriptive statistics

Standard deviation45.009589
Coefficient of variation (CV)0.51291031
Kurtosis0.48816792
Mean87.753333
Median Absolute Deviation (MAD)23.305
Skewness-0.58067447
Sum526.52
Variance2025.8631
MonotonicityNot monotonic
2023-12-12T19:15:05.771485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15.07 1
 
3.2%
69.39 1
 
3.2%
116.0 1
 
3.2%
105.0 1
 
3.2%
145.0 1
 
3.2%
76.06 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
15.07 1
3.2%
69.39 1
3.2%
76.06 1
3.2%
105.0 1
3.2%
116.0 1
3.2%
145.0 1
3.2%
ValueCountFrequency (%)
145.0 1
3.2%
116.0 1
3.2%
105.0 1
3.2%
76.06 1
3.2%
69.39 1
3.2%
15.07 1
3.2%

카타르_물량
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean76.21
Minimum11.41
Maximum269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:05.943392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.41
5-th percentile23.1555
Q138.9125
median52.525
Q363.4175
95-th percentile240.4
Maximum269
Range257.59
Interquartile range (IQR)24.505

Descriptive statistics

Standard deviation74.949288
Coefficient of variation (CV)0.9834574
Kurtosis3.5395443
Mean76.21
Median Absolute Deviation (MAD)14.755
Skewness2.097407
Sum1066.94
Variance5617.3958
MonotonicityNot monotonic
2023-12-12T19:15:06.095720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
269.0 1
 
3.2%
225.0 1
 
3.2%
11.41 1
 
3.2%
56.56 1
 
3.2%
55.63 1
 
3.2%
65.67 1
 
3.2%
49.42 1
 
3.2%
49.16 1
 
3.2%
84.83 1
 
3.2%
47.17 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
11.41 1
3.2%
29.48 1
3.2%
30.79 1
3.2%
36.16 1
3.2%
47.17 1
3.2%
49.16 1
3.2%
49.42 1
3.2%
55.63 1
3.2%
56.56 1
3.2%
56.66 1
3.2%
ValueCountFrequency (%)
269.0 1
3.2%
225.0 1
3.2%
84.83 1
3.2%
65.67 1
3.2%
56.66 1
3.2%
56.56 1
3.2%
55.63 1
3.2%
49.42 1
3.2%
49.16 1
3.2%
47.17 1
3.2%

카타르_금액
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean7823.5714
Minimum1124
Maximum26564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:06.235494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1124
5-th percentile1988.5
Q14423
median5892.5
Q39235.25
95-th percentile18865.4
Maximum26564
Range25440
Interquartile range (IQR)4812.25

Descriptive statistics

Standard deviation6434.7774
Coefficient of variation (CV)0.82248592
Kurtosis5.3840259
Mean7823.5714
Median Absolute Deviation (MAD)2624
Skewness2.1077836
Sum109530
Variance41406360
MonotonicityNot monotonic
2023-12-12T19:15:06.373757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
14720 1
 
3.2%
26564 1
 
3.2%
1124 1
 
3.2%
6688 1
 
3.2%
7789 1
 
3.2%
8612 1
 
3.2%
4777 1
 
3.2%
4305 1
 
3.2%
9718 1
 
3.2%
5097 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
1124 1
3.2%
2454 1
3.2%
3364 1
3.2%
4305 1
3.2%
4777 1
3.2%
4875 1
3.2%
5097 1
3.2%
6688 1
3.2%
7789 1
3.2%
8612 1
3.2%
ValueCountFrequency (%)
26564 1
3.2%
14720 1
3.2%
9718 1
3.2%
9443 1
3.2%
8612 1
3.2%
7789 1
3.2%
6688 1
3.2%
5097 1
3.2%
4875 1
3.2%
4777 1
3.2%

카타르_단가
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean112.05
Minimum54.68
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:06.502935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.68
5-th percentile73.244
Q193.9475
median111.5
Q3127.75
95-th percentile161.15
Maximum167
Range112.32
Interquartile range (IQR)33.8025

Descriptive statistics

Standard deviation30.216487
Coefficient of variation (CV)0.26966968
Kurtosis0.037410141
Mean112.05
Median Absolute Deviation (MAD)18.98
Skewness0.16767691
Sum1568.7
Variance913.03609
MonotonicityNot monotonic
2023-12-12T19:15:06.629594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
118.0 2
 
6.5%
54.68 1
 
3.2%
98.51 1
 
3.2%
140.0 1
 
3.2%
131.0 1
 
3.2%
96.67 1
 
3.2%
87.56 1
 
3.2%
115.0 1
 
3.2%
108.0 1
 
3.2%
93.04 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 17
54.8%
ValueCountFrequency (%)
54.68 1
3.2%
83.24 1
3.2%
87.56 1
3.2%
93.04 1
3.2%
96.67 1
3.2%
98.51 1
3.2%
108.0 1
3.2%
115.0 1
3.2%
118.0 2
6.5%
131.0 1
3.2%
ValueCountFrequency (%)
167.0 1
3.2%
158.0 1
3.2%
140.0 1
3.2%
131.0 1
3.2%
118.0 2
6.5%
115.0 1
3.2%
108.0 1
3.2%
98.51 1
3.2%
96.67 1
3.2%
93.04 1
3.2%

아랍에미레이트_물량
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing8
Missing (%)25.8%
Infinite0
Infinite (%)0.0%
Mean1062.6443
Minimum36.05
Maximum4181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:07.149869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.05
5-th percentile47.893
Q1226.5
median624
Q31301.5
95-th percentile3978.8
Maximum4181
Range4144.95
Interquartile range (IQR)1075

Descriptive statistics

Standard deviation1233.303
Coefficient of variation (CV)1.1605981
Kurtosis2.2237348
Mean1062.6443
Median Absolute Deviation (MAD)410
Skewness1.7676182
Sum24440.82
Variance1521036.2
MonotonicityNot monotonic
2023-12-12T19:15:07.317216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
214.0 1
 
3.2%
956.0 1
 
3.2%
1500.0 1
 
3.2%
461.0 1
 
3.2%
4018.0 1
 
3.2%
3626.0 1
 
3.2%
4181.0 1
 
3.2%
565.0 1
 
3.2%
624.0 1
 
3.2%
705.0 1
 
3.2%
Other values (13) 13
41.9%
(Missing) 8
25.8%
ValueCountFrequency (%)
36.05 1
3.2%
41.77 1
3.2%
103.0 1
3.2%
197.0 1
3.2%
214.0 1
3.2%
218.0 1
3.2%
235.0 1
3.2%
272.0 1
3.2%
461.0 1
3.2%
470.0 1
3.2%
ValueCountFrequency (%)
4181.0 1
3.2%
4018.0 1
3.2%
3626.0 1
3.2%
1547.0 1
3.2%
1500.0 1
3.2%
1470.0 1
3.2%
1133.0 1
3.2%
959.0 1
3.2%
956.0 1
3.2%
909.0 1
3.2%

아랍에미레이트_금액
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing8
Missing (%)25.8%
Infinite0
Infinite (%)0.0%
Mean86568.304
Minimum960
Maximum297136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:07.472822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum960
5-th percentile4823.9
Q114091.5
median44637
Q3124907
95-th percentile289981.2
Maximum297136
Range296176
Interquartile range (IQR)110815.5

Descriptive statistics

Standard deviation98240.085
Coefficient of variation (CV)1.1348274
Kurtosis0.37429376
Mean86568.304
Median Absolute Deviation (MAD)34765
Skewness1.3037068
Sum1991071
Variance9.6511143 × 109
MonotonicityNot monotonic
2023-12-12T19:15:07.641607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5318 1
 
3.2%
115963 1
 
3.2%
140808 1
 
3.2%
28602 1
 
3.2%
275682 1
 
3.2%
297136 1
 
3.2%
291570 1
 
3.2%
44637 1
 
3.2%
51818 1
 
3.2%
79402 1
 
3.2%
Other values (13) 13
41.9%
(Missing) 8
25.8%
ValueCountFrequency (%)
960 1
3.2%
4769 1
3.2%
5318 1
3.2%
6092 1
3.2%
10077 1
3.2%
12297 1
3.2%
15886 1
3.2%
28602 1
3.2%
31620 1
3.2%
34693 1
3.2%
ValueCountFrequency (%)
297136 1
3.2%
291570 1
3.2%
275682 1
3.2%
245450 1
3.2%
140808 1
3.2%
133851 1
3.2%
115963 1
3.2%
79402 1
3.2%
67559 1
3.2%
55278 1
3.2%

아랍에미레이트_단가
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing8
Missing (%)25.8%
Infinite0
Infinite (%)0.0%
Mean85.446087
Minimum16.57
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:07.797137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.57
5-th percentile21.789
Q160.215
median81.94
Q3116.5
95-th percentile158.4
Maximum176
Range159.43
Interquartile range (IQR)56.285

Descriptive statistics

Standard deviation46.567745
Coefficient of variation (CV)0.54499564
Kurtosis-0.75700764
Mean85.446087
Median Absolute Deviation (MAD)32.06
Skewness0.25055233
Sum1965.26
Variance2168.5549
MonotonicityNot monotonic
2023-12-12T19:15:07.956570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
24.84 1
 
3.2%
121.0 1
 
3.2%
93.85 1
 
3.2%
62.07 1
 
3.2%
68.61 1
 
3.2%
81.94 1
 
3.2%
69.74 1
 
3.2%
79.02 1
 
3.2%
83.1 1
 
3.2%
113.0 1
 
3.2%
Other values (13) 13
41.9%
(Missing) 8
25.8%
ValueCountFrequency (%)
16.57 1
3.2%
21.45 1
3.2%
24.84 1
3.2%
25.94 1
3.2%
26.64 1
3.2%
59.64 1
3.2%
60.79 1
3.2%
62.07 1
3.2%
68.61 1
3.2%
69.74 1
3.2%
ValueCountFrequency (%)
176.0 1
3.2%
159.0 1
3.2%
153.0 1
3.2%
145.0 1
3.2%
121.0 1
3.2%
119.0 1
3.2%
114.0 1
3.2%
113.0 1
3.2%
93.85 1
3.2%
91.06 1
3.2%

사우디아라비아_물량
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing10
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean702.5919
Minimum1.49
Maximum3940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:08.124195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.49
5-th percentile30.42
Q172.62
median285
Q3918
95-th percentile2346
Maximum3940
Range3938.51
Interquartile range (IQR)845.38

Descriptive statistics

Standard deviation1013.1983
Coefficient of variation (CV)1.4420865
Kurtosis4.5323487
Mean702.5919
Median Absolute Deviation (MAD)218.42
Skewness2.1370819
Sum14754.43
Variance1026570.8
MonotonicityNot monotonic
2023-12-12T19:15:08.297254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2310.0 1
 
3.2%
344.0 1
 
3.2%
545.0 1
 
3.2%
70.22 1
 
3.2%
285.0 1
 
3.2%
166.0 1
 
3.2%
73.38 1
 
3.2%
2346.0 1
 
3.2%
3940.0 1
 
3.2%
72.62 1
 
3.2%
Other values (11) 11
35.5%
(Missing) 10
32.3%
ValueCountFrequency (%)
1.49 1
3.2%
30.42 1
3.2%
31.72 1
3.2%
66.58 1
3.2%
70.22 1
3.2%
72.62 1
3.2%
73.38 1
3.2%
166.0 1
3.2%
216.0 1
3.2%
248.0 1
3.2%
ValueCountFrequency (%)
3940.0 1
3.2%
2346.0 1
3.2%
2310.0 1
3.2%
1191.0 1
3.2%
1159.0 1
3.2%
918.0 1
3.2%
545.0 1
3.2%
400.0 1
3.2%
344.0 1
3.2%
340.0 1
3.2%

사우디아라비아_금액
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing10
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean55777.714
Minimum56.99
Maximum248373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:08.495167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.99
5-th percentile2599
Q16057
median25617
Q369611
95-th percentile161024
Maximum248373
Range248316.01
Interquartile range (IQR)63554

Descriptive statistics

Standard deviation67844.297
Coefficient of variation (CV)1.2163334
Kurtosis1.8856807
Mean55777.714
Median Absolute Deviation (MAD)23018
Skewness1.5090413
Sum1171332
Variance4.6028486 × 109
MonotonicityNot monotonic
2023-12-12T19:15:08.653739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
56772.0 1
 
3.2%
51645.0 1
 
3.2%
57359.0 1
 
3.2%
6057.0 1
 
3.2%
25617.0 1
 
3.2%
17189.0 1
 
3.2%
7375.0 1
 
3.2%
124274.0 1
 
3.2%
248373.0 1
 
3.2%
10853.0 1
 
3.2%
Other values (11) 11
35.5%
(Missing) 10
32.3%
ValueCountFrequency (%)
56.99 1
3.2%
2599.0 1
3.2%
3876.0 1
3.2%
3909.0 1
3.2%
3994.0 1
3.2%
6057.0 1
3.2%
6445.0 1
3.2%
7375.0 1
3.2%
10853.0 1
3.2%
17189.0 1
3.2%
ValueCountFrequency (%)
248373.0 1
3.2%
161024.0 1
3.2%
154687.0 1
3.2%
124274.0 1
3.2%
114315.0 1
3.2%
69611.0 1
3.2%
57359.0 1
3.2%
56772.0 1
3.2%
51645.0 1
3.2%
45301.0 1
3.2%

사우디아라비아_단가
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)95.2%
Missing10
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean97.150952
Minimum10.5
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:08.781837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.5
5-th percentile18.46
Q163.03
median104
Q3133
95-th percentile150
Maximum174
Range163.5
Interquartile range (IQR)69.97

Descriptive statistics

Standard deviation46.717544
Coefficient of variation (CV)0.48087582
Kurtosis-0.71509233
Mean97.150952
Median Absolute Deviation (MAD)29
Skewness-0.48540888
Sum2040.17
Variance2182.5289
MonotonicityNot monotonic
2023-12-12T19:15:08.936420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
133.0 2
 
6.5%
149.0 1
 
3.2%
150.0 1
 
3.2%
105.0 1
 
3.2%
86.26 1
 
3.2%
89.9 1
 
3.2%
104.0 1
 
3.2%
100.5 1
 
3.2%
52.97 1
 
3.2%
63.03 1
 
3.2%
Other values (10) 10
32.3%
(Missing) 10
32.3%
ValueCountFrequency (%)
10.5 1
3.2%
18.46 1
3.2%
24.58 1
3.2%
38.17 1
3.2%
52.97 1
3.2%
63.03 1
3.2%
86.26 1
3.2%
89.9 1
3.2%
96.8 1
3.2%
100.5 1
3.2%
ValueCountFrequency (%)
174.0 1
3.2%
150.0 1
3.2%
149.0 1
3.2%
135.0 1
3.2%
133.0 2
6.5%
129.0 1
3.2%
125.0 1
3.2%
122.0 1
3.2%
105.0 1
3.2%
104.0 1
3.2%

예멘_물량
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean807.33333
Minimum315
Maximum1486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:09.111347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum315
5-th percentile385.5
Q1623.5
median718.5
Q3940.25
95-th percentile1366.75
Maximum1486
Range1171
Interquartile range (IQR)316.75

Descriptive statistics

Standard deviation401.03699
Coefficient of variation (CV)0.49674276
Kurtosis1.1827007
Mean807.33333
Median Absolute Deviation (MAD)206
Skewness0.88659322
Sum4844
Variance160830.67
MonotonicityNot monotonic
2023-12-12T19:15:09.221572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
703 1
 
3.2%
597 1
 
3.2%
315 1
 
3.2%
1009 1
 
3.2%
1486 1
 
3.2%
734 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
315 1
3.2%
597 1
3.2%
703 1
3.2%
734 1
3.2%
1009 1
3.2%
1486 1
3.2%
ValueCountFrequency (%)
1486 1
3.2%
1009 1
3.2%
734 1
3.2%
703 1
3.2%
597 1
3.2%
315 1
3.2%

예멘_금액
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean68412.167
Minimum24558
Maximum121786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:09.352133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24558
5-th percentile27355
Q140001.5
median63941.5
Q394153.75
95-th percentile116464.5
Maximum121786
Range97228
Interquartile range (IQR)54152.25

Descriptive statistics

Standard deviation37837.361
Coefficient of variation (CV)0.55307941
Kurtosis-1.4431807
Mean68412.167
Median Absolute Deviation (MAD)32377
Skewness0.34537287
Sum410473
Variance1.4316659 × 109
MonotonicityNot monotonic
2023-12-12T19:15:09.515851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
75115 1
 
3.2%
52768 1
 
3.2%
35746 1
 
3.2%
121786 1
 
3.2%
100500 1
 
3.2%
24558 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
24558 1
3.2%
35746 1
3.2%
52768 1
3.2%
75115 1
3.2%
100500 1
3.2%
121786 1
3.2%
ValueCountFrequency (%)
121786 1
3.2%
100500 1
3.2%
75115 1
3.2%
52768 1
3.2%
35746 1
3.2%
24558 1
3.2%

예멘_단가
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing25
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean88.411667
Minimum33.47
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:09.652588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.47
5-th percentile42.015
Q172.825
median97.675
Q3111.5
95-th percentile119
Maximum121
Range87.53
Interquartile range (IQR)38.675

Descriptive statistics

Standard deviation33.050716
Coefficient of variation (CV)0.37382754
Kurtosis0.150533
Mean88.411667
Median Absolute Deviation (MAD)19.325
Skewness-0.98799249
Sum530.47
Variance1092.3498
MonotonicityNot monotonic
2023-12-12T19:15:09.777508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
107.0 1
 
3.2%
88.35 1
 
3.2%
113.0 1
 
3.2%
121.0 1
 
3.2%
67.65 1
 
3.2%
33.47 1
 
3.2%
(Missing) 25
80.6%
ValueCountFrequency (%)
33.47 1
3.2%
67.65 1
3.2%
88.35 1
3.2%
107.0 1
3.2%
113.0 1
3.2%
121.0 1
3.2%
ValueCountFrequency (%)
121.0 1
3.2%
113.0 1
3.2%
107.0 1
3.2%
88.35 1
3.2%
67.65 1
3.2%
33.47 1
3.2%

오만_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
275.0
 
1
0.14
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
275.0 1
 
3.2%
0.14 1
 
3.2%

Length

2023-12-12T19:15:09.935166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:10.099958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
275.0 1
 
3.2%
0.14 1
 
3.2%

오만_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
9978.0
 
1
13.91
 
1

Length

Max length6
Median length4
Mean length4.0967742
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
9978.0 1
 
3.2%
13.91 1
 
3.2%

Length

2023-12-12T19:15:10.256474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:10.421078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
9978.0 1
 
3.2%
13.91 1
 
3.2%

오만_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
36.33
 
1
96.47
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
36.33 1
 
3.2%
96.47 1
 
3.2%

Length

2023-12-12T19:15:10.577588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:10.707175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
36.33 1
 
3.2%
96.47 1
 
3.2%

중립지대_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
270
 
1
551
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
270 1
 
3.2%
551 1
 
3.2%

Length

2023-12-12T19:15:10.845884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:10.972075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
270 1
 
3.2%
551 1
 
3.2%

중립지대_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
18401
 
1
61061
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
18401 1
 
3.2%
61061 1
 
3.2%

Length

2023-12-12T19:15:11.141821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:11.286536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
18401 1
 
3.2%
61061 1
 
3.2%

중립지대_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
68.27
 
1
111.0
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
68.27 1
 
3.2%
111.0 1
 
3.2%

Length

2023-12-12T19:15:11.442263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:11.573848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
68.27 1
 
3.2%
111.0 1
 
3.2%

튀르기예_물량
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean66.831538
Minimum0.28
Maximum433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:11.694187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.28
5-th percentile8.194
Q120.79
median33.19
Q350.2
95-th percentile229.018
Maximum433
Range432.72
Interquartile range (IQR)29.41

Descriptive statistics

Standard deviation112.60411
Coefficient of variation (CV)1.6848948
Kurtosis11.529106
Mean66.831538
Median Absolute Deviation (MAD)16.39
Skewness3.3285876
Sum868.81
Variance12679.685
MonotonicityNot monotonic
2023-12-12T19:15:11.852126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.28 1
 
3.2%
433.0 1
 
3.2%
13.47 1
 
3.2%
25.77 1
 
3.2%
44.22 1
 
3.2%
62.69 1
 
3.2%
46.88 1
 
3.2%
33.19 1
 
3.2%
16.8 1
 
3.2%
28.49 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
0.28 1
3.2%
13.47 1
3.2%
16.8 1
3.2%
20.79 1
3.2%
25.77 1
3.2%
28.49 1
3.2%
33.19 1
3.2%
44.22 1
3.2%
46.88 1
3.2%
50.2 1
3.2%
ValueCountFrequency (%)
433.0 1
3.2%
93.03 1
3.2%
62.69 1
3.2%
50.2 1
3.2%
46.88 1
3.2%
44.22 1
3.2%
33.19 1
3.2%
28.49 1
3.2%
25.77 1
3.2%
20.79 1
3.2%

튀르기예_금액
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean8994.4508
Minimum41.86
Maximum58773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:11.986200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.86
5-th percentile867.544
Q11997
median4204
Q36533
95-th percentile33738
Maximum58773
Range58731.14
Interquartile range (IQR)4536

Descriptive statistics

Standard deviation15564.291
Coefficient of variation (CV)1.7304326
Kurtosis10.551327
Mean8994.4508
Median Absolute Deviation (MAD)2319
Skewness3.1701157
Sum116927.86
Variance2.4224714 × 108
MonotonicityNot monotonic
2023-12-12T19:15:12.121153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
41.86 1
 
3.2%
58773.0 1
 
3.2%
1997.0 1
 
3.2%
4204.0 1
 
3.2%
6533.0 1
 
3.2%
6523.0 1
 
3.2%
4252.0 1
 
3.2%
3565.0 1
 
3.2%
1989.0 1
 
3.2%
2636.0 1
 
3.2%
Other values (3) 3
 
9.7%
(Missing) 18
58.1%
ValueCountFrequency (%)
41.86 1
3.2%
1418.0 1
3.2%
1989.0 1
3.2%
1997.0 1
3.2%
2636.0 1
3.2%
3565.0 1
3.2%
4204.0 1
3.2%
4252.0 1
3.2%
6523.0 1
3.2%
6533.0 1
3.2%
ValueCountFrequency (%)
58773.0 1
3.2%
17048.0 1
3.2%
7948.0 1
3.2%
6533.0 1
3.2%
6523.0 1
3.2%
4252.0 1
3.2%
4204.0 1
3.2%
3565.0 1
3.2%
2636.0 1
3.2%
1997.0 1
3.2%

튀르기예_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing18
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean128.11
Minimum68.21
Maximum183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:12.278219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.21
5-th percentile81.704
Q1104
median136
Q3149
95-th percentile171
Maximum183
Range114.79
Interquartile range (IQR)45

Descriptive statistics

Standard deviation33.907727
Coefficient of variation (CV)0.26467666
Kurtosis-0.91821752
Mean128.11
Median Absolute Deviation (MAD)27
Skewness-0.19430094
Sum1665.43
Variance1149.7339
MonotonicityNot monotonic
2023-12-12T19:15:12.440134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
148.0 2
 
6.5%
149.0 1
 
3.2%
136.0 1
 
3.2%
163.0 1
 
3.2%
104.0 1
 
3.2%
90.7 1
 
3.2%
107.0 1
 
3.2%
118.0 1
 
3.2%
92.52 1
 
3.2%
68.21 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 18
58.1%
ValueCountFrequency (%)
68.21 1
3.2%
90.7 1
3.2%
92.52 1
3.2%
104.0 1
3.2%
107.0 1
3.2%
118.0 1
3.2%
136.0 1
3.2%
148.0 2
6.5%
149.0 1
3.2%
158.0 1
3.2%
ValueCountFrequency (%)
183.0 1
3.2%
163.0 1
3.2%
158.0 1
3.2%
149.0 1
3.2%
148.0 2
6.5%
136.0 1
3.2%
118.0 1
3.2%
107.0 1
3.2%
104.0 1
3.2%
92.52 1
3.2%

이스라엘_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean46.4625
Minimum4.13
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:12.583982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.13
5-th percentile4.963
Q18.25
median11.6
Q335.1375
95-th percentile177.0195
Maximum231
Range226.87
Interquartile range (IQR)26.8875

Descriptive statistics

Standard deviation78.236053
Coefficient of variation (CV)1.6838537
Kurtosis5.8223715
Mean46.4625
Median Absolute Deviation (MAD)6.28
Skewness2.3937481
Sum371.7
Variance6120.88
MonotonicityNot monotonic
2023-12-12T19:15:12.695679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4.13 1
 
3.2%
8.83 1
 
3.2%
12.85 1
 
3.2%
21.26 1
 
3.2%
76.77 1
 
3.2%
231.0 1
 
3.2%
6.51 1
 
3.2%
10.35 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
4.13 1
3.2%
6.51 1
3.2%
8.83 1
3.2%
10.35 1
3.2%
12.85 1
3.2%
21.26 1
3.2%
76.77 1
3.2%
231.0 1
3.2%
ValueCountFrequency (%)
231.0 1
3.2%
76.77 1
3.2%
21.26 1
3.2%
12.85 1
3.2%
10.35 1
3.2%
8.83 1
3.2%
6.51 1
3.2%
4.13 1
3.2%

이스라엘_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean3720.625
Minimum423
Maximum14971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:12.796813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum423
5-th percentile572.1
Q1858.75
median1560.5
Q33435.75
95-th percentile12334.1
Maximum14971
Range14548
Interquartile range (IQR)2577

Descriptive statistics

Standard deviation5072.2558
Coefficient of variation (CV)1.3632806
Kurtosis3.660878
Mean3720.625
Median Absolute Deviation (MAD)705
Skewness1.992326
Sum29765
Variance25727779
MonotonicityNot monotonic
2023-12-12T19:15:12.934554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
423 1
 
3.2%
862 1
 
3.2%
1077 1
 
3.2%
2102 1
 
3.2%
7437 1
 
3.2%
14971 1
 
3.2%
849 1
 
3.2%
2044 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
423 1
3.2%
849 1
3.2%
862 1
3.2%
1077 1
3.2%
2044 1
3.2%
2102 1
3.2%
7437 1
3.2%
14971 1
3.2%
ValueCountFrequency (%)
14971 1
3.2%
7437 1
3.2%
2102 1
3.2%
2044 1
3.2%
1077 1
3.2%
862 1
3.2%
849 1
3.2%
423 1
3.2%

이스라엘_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean109.00375
Minimum64.92
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:13.066475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.92
5-th percentile71.5175
Q193.595
median98.235
Q3109
95-th percentile174.2
Maximum198
Range133.08
Interquartile range (IQR)15.405

Descriptive statistics

Standard deviation40.302983
Coefficient of variation (CV)0.36973942
Kurtosis3.8271656
Mean109.00375
Median Absolute Deviation (MAD)9.115
Skewness1.7682737
Sum872.03
Variance1624.3304
MonotonicityNot monotonic
2023-12-12T19:15:13.194169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
102.0 1
 
3.2%
97.6 1
 
3.2%
83.77 1
 
3.2%
98.87 1
 
3.2%
96.87 1
 
3.2%
64.92 1
 
3.2%
130.0 1
 
3.2%
198.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
64.92 1
3.2%
83.77 1
3.2%
96.87 1
3.2%
97.6 1
3.2%
98.87 1
3.2%
102.0 1
3.2%
130.0 1
3.2%
198.0 1
3.2%
ValueCountFrequency (%)
198.0 1
3.2%
130.0 1
3.2%
102.0 1
3.2%
98.87 1
3.2%
97.6 1
3.2%
96.87 1
3.2%
83.77 1
3.2%
64.92 1
3.2%

아제르바이잔_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
3.79
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
3.79 1
 
3.2%

Length

2023-12-12T19:15:13.335461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:13.459543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
3.79 1
 
3.2%

아제르바이잔_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
398
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
398 1
 
3.2%

Length

2023-12-12T19:15:13.591475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:13.709019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
398 1
 
3.2%

아제르바이잔_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
105
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
105 1
 
3.2%

Length

2023-12-12T19:15:13.829872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:13.967988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
105 1
 
3.2%

요르단_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
1126.0
 
1
0.24
 
1
0.1
 
1

Length

Max length6
Median length4
Mean length4.0322581
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
1126.0 1
 
3.2%
0.24 1
 
3.2%
0.1 1
 
3.2%

Length

2023-12-12T19:15:14.092971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:14.217728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
1126.0 1
 
3.2%
0.24 1
 
3.2%
0.1 1
 
3.2%

요르단_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
135704.0
 
1
26.67
 
1
9.91
 
1

Length

Max length8
Median length4
Mean length4.1612903
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
135704.0 1
 
3.2%
26.67 1
 
3.2%
9.91 1
 
3.2%

Length

2023-12-12T19:15:14.361118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:14.497309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
135704.0 1
 
3.2%
26.67 1
 
3.2%
9.91 1
 
3.2%

요르단_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
120.0
 
1
109.0
 
1
96.37
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
120.0 1
 
3.2%
109.0 1
 
3.2%
96.37 1
 
3.2%

Length

2023-12-12T19:15:14.644731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:14.777294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
120.0 1
 
3.2%
109.0 1
 
3.2%
96.37 1
 
3.2%

조지아_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
235.0
 
1
6.36
 
1
10.13
 
1
11.38
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
235.0 1
 
3.2%
6.36 1
 
3.2%
10.13 1
 
3.2%
11.38 1
 
3.2%
7.96 1
 
3.2%

Length

2023-12-12T19:15:14.924357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:15.083704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
235.0 1
 
3.2%
6.36 1
 
3.2%
10.13 1
 
3.2%
11.38 1
 
3.2%
7.96 1
 
3.2%

조지아_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
6439
 
1
623
 
1
796
 
1
1018
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
6439 1
 
3.2%
623 1
 
3.2%
796 1
 
3.2%
1018 1
 
3.2%
1230 1
 
3.2%

Length

2023-12-12T19:15:15.269247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:15.444067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
6439 1
 
3.2%
623 1
 
3.2%
796 1
 
3.2%
1018 1
 
3.2%
1230 1
 
3.2%

조지아_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
27.44
 
1
97.96
 
1
78.53
 
1
89.47
 
1

Length

Max length5
Median length4
Mean length4.1612903
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
27.44 1
 
3.2%
97.96 1
 
3.2%
78.53 1
 
3.2%
89.47 1
 
3.2%
155.0 1
 
3.2%

Length

2023-12-12T19:15:15.612139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:15.756155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
27.44 1
 
3.2%
97.96 1
 
3.2%
78.53 1
 
3.2%
89.47 1
 
3.2%
155.0 1
 
3.2%

레바논_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
1.0
 
1
2.27
 
1
0.29
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
1.0 1
 
3.2%
2.27 1
 
3.2%
0.29 1
 
3.2%

Length

2023-12-12T19:15:15.906274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:16.049899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
1.0 1
 
3.2%
2.27 1
 
3.2%
0.29 1
 
3.2%

레바논_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
122.0
 
1
196.0
 
1
68.76
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
122.0 1
 
3.2%
196.0 1
 
3.2%
68.76 1
 
3.2%

Length

2023-12-12T19:15:16.216220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:16.397227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
122.0 1
 
3.2%
196.0 1
 
3.2%
68.76 1
 
3.2%

레바논_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
122.0
 
1
86.11
 
1
235.0
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
122.0 1
 
3.2%
86.11 1
 
3.2%
235.0 1
 
3.2%

Length

2023-12-12T19:15:16.541155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:16.692253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
122.0 1
 
3.2%
86.11 1
 
3.2%
235.0 1
 
3.2%

노르웨이_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
625
 
1
165
 
1
224
 
1
1580
 
1

Length

Max length4
Median length4
Mean length3.8709677
Min length3

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
625 1
 
3.2%
165 1
 
3.2%
224 1
 
3.2%
1580 1
 
3.2%
756 1
 
3.2%

Length

2023-12-12T19:15:16.817816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:16.965228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
625 1
 
3.2%
165 1
 
3.2%
224 1
 
3.2%
1580 1
 
3.2%
756 1
 
3.2%

노르웨이_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
11517
 
1
9445
 
1
12610
 
1
116178
 
1

Length

Max length6
Median length4
Mean length4.1612903
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
11517 1
 
3.2%
9445 1
 
3.2%
12610 1
 
3.2%
116178 1
 
3.2%
91162 1
 
3.2%

Length

2023-12-12T19:15:17.157852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:17.284316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
11517 1
 
3.2%
9445 1
 
3.2%
12610 1
 
3.2%
116178 1
 
3.2%
91162 1
 
3.2%

노르웨이_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
18.43
 
1
57.38
 
1
56.32
 
1
73.51
 
1

Length

Max length5
Median length4
Mean length4.1612903
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
18.43 1
 
3.2%
57.38 1
 
3.2%
56.32 1
 
3.2%
73.51 1
 
3.2%
121.0 1
 
3.2%

Length

2023-12-12T19:15:17.432764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:17.571538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
18.43 1
 
3.2%
57.38 1
 
3.2%
56.32 1
 
3.2%
73.51 1
 
3.2%
121.0 1
 
3.2%

덴마크_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean1601.865
Minimum0.08
Maximum5572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:17.727756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile12.246
Q1105.46
median551.5
Q32353
95-th percentile5112.1
Maximum5572
Range5571.92
Interquartile range (IQR)2247.54

Descriptive statistics

Standard deviation2149.1859
Coefficient of variation (CV)1.3416773
Kurtosis0.22103817
Mean1601.865
Median Absolute Deviation (MAD)534.04
Skewness1.2954548
Sum12814.92
Variance4619000
MonotonicityNot monotonic
2023-12-12T19:15:17.848693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.08 1
 
3.2%
781.0 1
 
3.2%
1718.0 1
 
3.2%
129.0 1
 
3.2%
5572.0 1
 
3.2%
4258.0 1
 
3.2%
322.0 1
 
3.2%
34.84 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.08 1
3.2%
34.84 1
3.2%
129.0 1
3.2%
322.0 1
3.2%
781.0 1
3.2%
1718.0 1
3.2%
4258.0 1
3.2%
5572.0 1
3.2%
ValueCountFrequency (%)
5572.0 1
3.2%
4258.0 1
3.2%
1718.0 1
3.2%
781.0 1
3.2%
322.0 1
3.2%
129.0 1
3.2%
34.84 1
3.2%
0.08 1
3.2%

덴마크_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean48146.298
Minimum6.38
Maximum191386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:17.975723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.38
5-th percentile971.197
Q13809.25
median16361.5
Q352649
95-th percentile168466.95
Maximum191386
Range191379.62
Interquartile range (IQR)48839.75

Descriptive statistics

Standard deviation71028.687
Coefficient of variation (CV)1.4752679
Kurtosis1.474431
Mean48146.298
Median Absolute Deviation (MAD)12901
Skewness1.6183587
Sum385170.38
Variance5.0450744 × 109
MonotonicityNot monotonic
2023-12-12T19:15:18.524544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6.38 1
 
3.2%
19721.0 1
 
3.2%
28231.0 1
 
3.2%
4158.0 1
 
3.2%
191386.0 1
 
3.2%
125903.0 1
 
3.2%
13002.0 1
 
3.2%
2763.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
6.38 1
3.2%
2763.0 1
3.2%
4158.0 1
3.2%
13002.0 1
3.2%
19721.0 1
3.2%
28231.0 1
3.2%
125903.0 1
3.2%
191386.0 1
3.2%
ValueCountFrequency (%)
191386.0 1
3.2%
125903.0 1
3.2%
28231.0 1
3.2%
19721.0 1
3.2%
13002.0 1
3.2%
4158.0 1
3.2%
2763.0 1
3.2%
6.38 1
3.2%

덴마크_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean42.75125
Minimum16.44
Maximum84.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:18.668948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.44
5-th percentile19.527
Q128.4925
median33.245
Q350.11
95-th percentile82.7255
Maximum84.57
Range68.13
Interquartile range (IQR)21.6175

Descriptive statistics

Standard deviation25.200319
Coefficient of variation (CV)0.58946391
Kurtosis-0.25531301
Mean42.75125
Median Absolute Deviation (MAD)7.56
Skewness1.1223386
Sum342.01
Variance635.05607
MonotonicityNot monotonic
2023-12-12T19:15:18.800904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
84.57 1
 
3.2%
25.26 1
 
3.2%
16.44 1
 
3.2%
32.14 1
 
3.2%
34.35 1
 
3.2%
29.57 1
 
3.2%
40.38 1
 
3.2%
79.3 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
16.44 1
3.2%
25.26 1
3.2%
29.57 1
3.2%
32.14 1
3.2%
34.35 1
3.2%
40.38 1
3.2%
79.3 1
3.2%
84.57 1
3.2%
ValueCountFrequency (%)
84.57 1
3.2%
79.3 1
3.2%
40.38 1
3.2%
34.35 1
3.2%
32.14 1
3.2%
29.57 1
3.2%
25.26 1
3.2%
16.44 1
3.2%

네덜란드_물량
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean8726.0148
Minimum9.37
Maximum33119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:18.919051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.37
5-th percentile150.6
Q12041
median4312
Q314413
95-th percentile22495
Maximum33119
Range33109.63
Interquartile range (IQR)12372

Descriptive statistics

Standard deviation8950.5816
Coefficient of variation (CV)1.0257353
Kurtosis0.60507149
Mean8726.0148
Median Absolute Deviation (MAD)4043
Skewness1.1012885
Sum218150.37
Variance80112911
MonotonicityNot monotonic
2023-12-12T19:15:19.055937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
823.0 1
 
3.2%
14675.0 1
 
3.2%
2754.0 1
 
3.2%
3332.0 1
 
3.2%
4060.0 1
 
3.2%
4312.0 1
 
3.2%
13164.0 1
 
3.2%
22239.0 1
 
3.2%
22559.0 1
 
3.2%
19072.0 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
9.37 1
3.2%
121.0 1
3.2%
269.0 1
3.2%
565.0 1
3.2%
823.0 1
3.2%
1349.0 1
3.2%
2041.0 1
3.2%
2517.0 1
3.2%
2754.0 1
3.2%
2833.0 1
3.2%
ValueCountFrequency (%)
33119.0 1
3.2%
22559.0 1
3.2%
22239.0 1
3.2%
19072.0 1
3.2%
18128.0 1
3.2%
14675.0 1
3.2%
14413.0 1
3.2%
13348.0 1
3.2%
13164.0 1
3.2%
10224.0 1
3.2%

네덜란드_금액
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean762756.28
Minimum287
Maximum2289992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:19.195548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum287
5-th percentile8707.2
Q177887
median372063
Q31279196
95-th percentile2204082
Maximum2289992
Range2289705
Interquartile range (IQR)1201309

Descriptive statistics

Standard deviation808710.06
Coefficient of variation (CV)1.060247
Kurtosis-0.88751742
Mean762756.28
Median Absolute Deviation (MAD)358727
Skewness0.78588807
Sum19068907
Variance6.5401196 × 1011
MonotonicityNot monotonic
2023-12-12T19:15:19.356043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13336 1
 
3.2%
1971936 1
 
3.2%
210274 1
 
3.2%
171794 1
 
3.2%
324897 1
 
3.2%
376628 1
 
3.2%
809679 1
 
3.2%
1133811 1
 
3.2%
1474730 1
 
3.2%
2200802 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
287 1
3.2%
7550 1
3.2%
13336 1
3.2%
13977 1
3.2%
17522 1
3.2%
45202 1
3.2%
77887 1
3.2%
166625 1
3.2%
171794 1
3.2%
204136 1
3.2%
ValueCountFrequency (%)
2289992 1
3.2%
2204902 1
3.2%
2200802 1
3.2%
1971936 1
3.2%
1768674 1
3.2%
1474730 1
3.2%
1279196 1
3.2%
1208274 1
3.2%
1133811 1
3.2%
809679 1
3.2%

네덜란드_단가
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean73.8
Minimum16.2
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:19.488300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.2
5-th percentile25.908
Q151.56
median72.07
Q390.52
95-th percentile124.6
Maximum134
Range117.8
Interquartile range (IQR)38.96

Descriptive statistics

Standard deviation33.089804
Coefficient of variation (CV)0.44837133
Kurtosis-0.67682574
Mean73.8
Median Absolute Deviation (MAD)20.51
Skewness0.13701707
Sum1845
Variance1094.9352
MonotonicityNot monotonic
2023-12-12T19:15:19.685663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16.2 1
 
3.2%
134.0 1
 
3.2%
76.36 1
 
3.2%
51.56 1
 
3.2%
80.02 1
 
3.2%
87.35 1
 
3.2%
61.51 1
 
3.2%
50.98 1
 
3.2%
65.37 1
 
3.2%
115.0 1
 
3.2%
Other values (15) 15
48.4%
(Missing) 6
 
19.4%
ValueCountFrequency (%)
16.2 1
3.2%
24.74 1
3.2%
30.58 1
3.2%
30.95 1
3.2%
33.5 1
3.2%
50.98 1
3.2%
51.56 1
3.2%
61.51 1
3.2%
62.44 1
3.2%
65.09 1
3.2%
ValueCountFrequency (%)
134.0 1
3.2%
125.0 1
3.2%
123.0 1
3.2%
122.0 1
3.2%
115.0 1
3.2%
95.03 1
3.2%
90.52 1
3.2%
87.35 1
3.2%
81.65 1
3.2%
80.94 1
3.2%

프랑스_물량
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing12
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean1199.3
Minimum8.68
Maximum4126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:19.852803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.68
5-th percentile10.21
Q195.29
median729
Q31871
95-th percentile3557.2
Maximum4126
Range4117.32
Interquartile range (IQR)1775.71

Descriptive statistics

Standard deviation1349.7334
Coefficient of variation (CV)1.1254343
Kurtosis-0.27968986
Mean1199.3
Median Absolute Deviation (MAD)699.87
Skewness0.98620373
Sum22786.7
Variance1821780.2
MonotonicityNot monotonic
2023-12-12T19:15:20.009974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10.38 1
 
3.2%
1810.0 1
 
3.2%
54.58 1
 
3.2%
1558.0 1
 
3.2%
1249.0 1
 
3.2%
2718.0 1
 
3.2%
729.0 1
 
3.2%
29.13 1
 
3.2%
783.0 1
 
3.2%
8.68 1
 
3.2%
Other values (9) 9
29.0%
(Missing) 12
38.7%
ValueCountFrequency (%)
8.68 1
3.2%
10.38 1
3.2%
29.13 1
3.2%
29.93 1
3.2%
54.58 1
3.2%
136.0 1
3.2%
143.0 1
3.2%
304.0 1
3.2%
339.0 1
3.2%
729.0 1
3.2%
ValueCountFrequency (%)
4126.0 1
3.2%
3494.0 1
3.2%
3333.0 1
3.2%
2718.0 1
3.2%
1932.0 1
3.2%
1810.0 1
3.2%
1558.0 1
3.2%
1249.0 1
3.2%
783.0 1
3.2%
729.0 1
3.2%

프랑스_금액
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing12
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean115024.26
Minimum244
Maximum519902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:20.148468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244
5-th percentile299.8
Q16561.5
median42360
Q3160322.5
95-th percentile433665.8
Maximum519902
Range519658
Interquartile range (IQR)153761

Descriptive statistics

Standard deviation149228.99
Coefficient of variation (CV)1.2973696
Kurtosis2.3225938
Mean115024.26
Median Absolute Deviation (MAD)42116
Skewness1.6543877
Sum2185461
Variance2.2269291 × 1010
MonotonicityNot monotonic
2023-12-12T19:15:20.329674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
306 1
 
3.2%
246162 1
 
3.2%
5176 1
 
3.2%
118390 1
 
3.2%
105497 1
 
3.2%
166766 1
 
3.2%
42360 1
 
3.2%
2404 1
 
3.2%
94318 1
 
3.2%
244 1
 
3.2%
Other values (9) 9
29.0%
(Missing) 12
38.7%
ValueCountFrequency (%)
244 1
3.2%
306 1
3.2%
2404 1
3.2%
3934 1
3.2%
5176 1
3.2%
7947 1
3.2%
12725 1
3.2%
18080 1
3.2%
34429 1
3.2%
42360 1
3.2%
ValueCountFrequency (%)
519902 1
3.2%
424084 1
3.2%
246162 1
3.2%
228858 1
3.2%
166766 1
3.2%
153879 1
3.2%
118390 1
3.2%
105497 1
3.2%
94318 1
3.2%
42360 1
3.2%

프랑스_단가
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing12
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean84.570526
Minimum28.11
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:20.452494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.11
5-th percentile29.343
Q160.41
median82.5
Q3111.5
95-th percentile131.5
Maximum136
Range107.89
Interquartile range (IQR)51.09

Descriptive statistics

Standard deviation32.258093
Coefficient of variation (CV)0.38143423
Kurtosis-0.75620522
Mean84.570526
Median Absolute Deviation (MAD)23.03
Skewness-0.011791873
Sum1606.84
Variance1040.5846
MonotonicityNot monotonic
2023-12-12T19:15:20.600920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
121.0 2
 
6.5%
136.0 1
 
3.2%
94.83 1
 
3.2%
76.0 1
 
3.2%
84.44 1
 
3.2%
61.35 1
 
3.2%
58.09 1
 
3.2%
82.5 1
 
3.2%
28.11 1
 
3.2%
29.48 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 12
38.7%
ValueCountFrequency (%)
28.11 1
3.2%
29.48 1
3.2%
58.09 1
3.2%
58.42 1
3.2%
59.47 1
3.2%
61.35 1
3.2%
68.67 1
3.2%
76.0 1
3.2%
79.64 1
3.2%
82.5 1
3.2%
ValueCountFrequency (%)
136.0 1
3.2%
131.0 1
3.2%
126.0 1
3.2%
121.0 2
6.5%
102.0 1
3.2%
94.83 1
3.2%
88.84 1
3.2%
84.44 1
3.2%
82.5 1
3.2%
79.64 1
3.2%

그리스_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean190.07273
Minimum0.73
Maximum1528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:20.712224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.73
5-th percentile0.95
Q12.015
median3.37
Q38.635
95-th percentile1028.5
Maximum1528
Range1527.27
Interquartile range (IQR)6.62

Descriptive statistics

Standard deviation470.89501
Coefficient of variation (CV)2.4774465
Kurtosis7.8704757
Mean190.07273
Median Absolute Deviation (MAD)2.2
Skewness2.7807256
Sum2090.8
Variance221742.11
MonotonicityNot monotonic
2023-12-12T19:15:20.833122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
529.0 1
 
3.2%
1528.0 1
 
3.2%
1.17 1
 
3.2%
3.1 1
 
3.2%
2.2 1
 
3.2%
0.73 1
 
3.2%
1.83 1
 
3.2%
4.13 1
 
3.2%
3.37 1
 
3.2%
9.85 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
0.73 1
3.2%
1.17 1
3.2%
1.83 1
3.2%
2.2 1
3.2%
3.1 1
3.2%
3.37 1
3.2%
4.13 1
3.2%
7.42 1
3.2%
9.85 1
3.2%
529.0 1
3.2%
ValueCountFrequency (%)
1528.0 1
3.2%
529.0 1
3.2%
9.85 1
3.2%
7.42 1
3.2%
4.13 1
3.2%
3.37 1
3.2%
3.1 1
3.2%
2.2 1
3.2%
1.83 1
3.2%
1.17 1
3.2%

그리스_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean9554.8845
Minimum63.73
Maximum95893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:20.967923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.73
5-th percentile100.865
Q1198.5
median323
Q3933.5
95-th percentile50834
Maximum95893
Range95829.27
Interquartile range (IQR)735

Descriptive statistics

Standard deviation28682.459
Coefficient of variation (CV)3.0018635
Kurtosis10.902498
Mean9554.8845
Median Absolute Deviation (MAD)185
Skewness3.2971661
Sum105103.73
Variance8.2268348 × 108
MonotonicityNot monotonic
2023-12-12T19:15:21.078420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5775.0 1
 
3.2%
95893.0 1
 
3.2%
138.0 1
 
3.2%
323.0 1
 
3.2%
211.0 1
 
3.2%
63.73 1
 
3.2%
228.0 1
 
3.2%
419.0 1
 
3.2%
186.0 1
 
3.2%
717.0 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
63.73 1
3.2%
138.0 1
3.2%
186.0 1
3.2%
211.0 1
3.2%
228.0 1
3.2%
323.0 1
3.2%
419.0 1
3.2%
717.0 1
3.2%
1150.0 1
3.2%
5775.0 1
3.2%
ValueCountFrequency (%)
95893.0 1
3.2%
5775.0 1
3.2%
1150.0 1
3.2%
717.0 1
3.2%
419.0 1
3.2%
323.0 1
3.2%
228.0 1
3.2%
211.0 1
3.2%
186.0 1
3.2%
138.0 1
3.2%

그리스_단가
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean89.808182
Minimum10.91
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:21.199551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.91
5-th percentile33.095
Q167.805
median96.29
Q3111
95-th percentile139.5
Maximum155
Range144.09
Interquartile range (IQR)43.195

Descriptive statistics

Standard deviation38.759838
Coefficient of variation (CV)0.43158471
Kurtosis0.78092856
Mean89.808182
Median Absolute Deviation (MAD)23.42
Skewness-0.44712986
Sum987.89
Variance1502.325
MonotonicityNot monotonic
2023-12-12T19:15:21.326082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10.91 1
 
3.2%
62.74 1
 
3.2%
118.0 1
 
3.2%
104.0 1
 
3.2%
96.29 1
 
3.2%
87.8 1
 
3.2%
124.0 1
 
3.2%
101.0 1
 
3.2%
55.28 1
 
3.2%
72.87 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
10.91 1
3.2%
55.28 1
3.2%
62.74 1
3.2%
72.87 1
3.2%
87.8 1
3.2%
96.29 1
3.2%
101.0 1
3.2%
104.0 1
3.2%
118.0 1
3.2%
124.0 1
3.2%
ValueCountFrequency (%)
155.0 1
3.2%
124.0 1
3.2%
118.0 1
3.2%
104.0 1
3.2%
101.0 1
3.2%
96.29 1
3.2%
87.8 1
3.2%
72.87 1
3.2%
62.74 1
3.2%
55.28 1
3.2%

독일_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean167.94091
Minimum3.68
Maximum839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:21.475662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.68
5-th percentile3.725
Q126.435
median38.81
Q3128.39
95-th percentile703.5
Maximum839
Range835.32
Interquartile range (IQR)101.955

Descriptive statistics

Standard deviation276.9057
Coefficient of variation (CV)1.6488282
Kurtosis3.0559176
Mean167.94091
Median Absolute Deviation (MAD)19.77
Skewness1.9807414
Sum1847.35
Variance76676.769
MonotonicityNot monotonic
2023-12-12T19:15:21.629737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
36.86 1
 
3.2%
202.0 1
 
3.2%
19.04 1
 
3.2%
839.0 1
 
3.2%
568.0 1
 
3.2%
3.77 1
 
3.2%
3.68 1
 
3.2%
38.81 1
 
3.2%
47.58 1
 
3.2%
33.83 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
3.68 1
3.2%
3.77 1
3.2%
19.04 1
3.2%
33.83 1
3.2%
36.86 1
3.2%
38.81 1
3.2%
47.58 1
3.2%
54.78 1
3.2%
202.0 1
3.2%
568.0 1
3.2%
ValueCountFrequency (%)
839.0 1
3.2%
568.0 1
3.2%
202.0 1
3.2%
54.78 1
3.2%
47.58 1
3.2%
38.81 1
3.2%
36.86 1
3.2%
33.83 1
3.2%
19.04 1
3.2%
3.77 1
3.2%

독일_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean15004.636
Minimum384
Maximum69899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:21.750528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384
5-th percentile388
Q11052
median4753
Q37602
95-th percentile66643
Maximum69899
Range69515
Interquartile range (IQR)6550

Descriptive statistics

Standard deviation25710.634
Coefficient of variation (CV)1.7135126
Kurtosis2.0302628
Mean15004.636
Median Absolute Deviation (MAD)3706
Skewness1.8891522
Sum165051
Variance6.610367 × 108
MonotonicityNot monotonic
2023-12-12T19:15:21.869141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
883 1
 
3.2%
6745 1
 
3.2%
1221 1
 
3.2%
63387 1
 
3.2%
69899 1
 
3.2%
392 1
 
3.2%
384 1
 
3.2%
3740 1
 
3.2%
4753 1
 
3.2%
5188 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
384 1
3.2%
392 1
3.2%
883 1
3.2%
1221 1
3.2%
3740 1
3.2%
4753 1
3.2%
5188 1
3.2%
6745 1
3.2%
8459 1
3.2%
63387 1
3.2%
ValueCountFrequency (%)
69899 1
3.2%
63387 1
3.2%
8459 1
3.2%
6745 1
3.2%
5188 1
3.2%
4753 1
3.2%
3740 1
3.2%
1221 1
3.2%
883 1
3.2%
392 1
3.2%

독일_단가
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean93.744545
Minimum23.96
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:21.998944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.96
5-th percentile28.635
Q169.83
median99.89
Q3113.5
95-th percentile153.5
Maximum154
Range130.04
Interquartile range (IQR)43.67

Descriptive statistics

Standard deviation42.407611
Coefficient of variation (CV)0.45237417
Kurtosis-0.52738224
Mean93.744545
Median Absolute Deviation (MAD)24.35
Skewness-0.22167821
Sum1031.19
Variance1798.4055
MonotonicityNot monotonic
2023-12-12T19:15:22.130233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
104.0 2
 
6.5%
23.96 1
 
3.2%
33.31 1
 
3.2%
64.12 1
 
3.2%
75.54 1
 
3.2%
123.0 1
 
3.2%
96.37 1
 
3.2%
99.89 1
 
3.2%
153.0 1
 
3.2%
154.0 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
23.96 1
3.2%
33.31 1
3.2%
64.12 1
3.2%
75.54 1
3.2%
96.37 1
3.2%
99.89 1
3.2%
104.0 2
6.5%
123.0 1
3.2%
153.0 1
3.2%
154.0 1
3.2%
ValueCountFrequency (%)
154.0 1
3.2%
153.0 1
3.2%
123.0 1
3.2%
104.0 2
6.5%
99.89 1
3.2%
96.37 1
3.2%
75.54 1
3.2%
64.12 1
3.2%
33.31 1
3.2%
23.96 1
3.2%

루마니아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
0.29
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
0.29 1
 
3.2%

Length

2023-12-12T19:15:22.263633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:22.361635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
0.29 1
 
3.2%

루마니아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
43.02
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
43.02 1
 
3.2%

Length

2023-12-12T19:15:22.468696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:22.559685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
43.02 1
 
3.2%

루마니아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
147
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
147 1
 
3.2%

Length

2023-12-12T19:15:22.662162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:22.754767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
147 1
 
3.2%

오스트리아_물량
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
270.0
 
1
22.05
 
1
149.0
 
1
163.0
 
1

Length

Max length5
Median length4
Mean length4.1612903
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row270.0

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
270.0 1
 
3.2%
22.05 1
 
3.2%
149.0 1
 
3.2%
163.0 1
 
3.2%
13.04 1
 
3.2%

Length

2023-12-12T19:15:22.846739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:22.972666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
270.0 1
 
3.2%
22.05 1
 
3.2%
149.0 1
 
3.2%
163.0 1
 
3.2%
13.04 1
 
3.2%

오스트리아_금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
6999
 
1
587
 
1
18675
 
1
9436
 
1

Length

Max length5
Median length4
Mean length4
Min length3

Unique

Unique5 ?
Unique (%)16.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row6999

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
6999 1
 
3.2%
587 1
 
3.2%
18675 1
 
3.2%
9436 1
 
3.2%
1411 1
 
3.2%

Length

2023-12-12T19:15:23.124851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:23.287233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
6999 1
 
3.2%
587 1
 
3.2%
18675 1
 
3.2%
9436 1
 
3.2%
1411 1
 
3.2%

오스트리아_단가
Categorical

IMBALANCE 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
26 
25.91
 
1
26.64
 
1
125.0
 
1
57.81
 
1

Length

Max length5
Median length4
Mean length4.1612903
Min length4

Unique

Unique5 ?
Unique (%)16.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row25.91

Common Values

ValueCountFrequency (%)
<NA> 26
83.9%
25.91 1
 
3.2%
26.64 1
 
3.2%
125.0 1
 
3.2%
57.81 1
 
3.2%
108.0 1
 
3.2%

Length

2023-12-12T19:15:23.436582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:23.559820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
83.9%
25.91 1
 
3.2%
26.64 1
 
3.2%
125.0 1
 
3.2%
57.81 1
 
3.2%
108.0 1
 
3.2%

이탈리아_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean21.545
Minimum0.3
Maximum61.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:23.669061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.4015
Q10.815
median5.405
Q345.8775
95-th percentile59.465
Maximum61.6
Range61.3
Interquartile range (IQR)45.0625

Descriptive statistics

Standard deviation26.857473
Coefficient of variation (CV)1.2465757
Kurtosis-1.7181532
Mean21.545
Median Absolute Deviation (MAD)4.96
Skewness0.75178072
Sum172.36
Variance721.32386
MonotonicityNot monotonic
2023-12-12T19:15:23.801023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.89 1
 
3.2%
0.3 1
 
3.2%
0.59 1
 
3.2%
3.46 1
 
3.2%
42.67 1
 
3.2%
55.5 1
 
3.2%
61.6 1
 
3.2%
7.35 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.3 1
3.2%
0.59 1
3.2%
0.89 1
3.2%
3.46 1
3.2%
7.35 1
3.2%
42.67 1
3.2%
55.5 1
3.2%
61.6 1
3.2%
ValueCountFrequency (%)
61.6 1
3.2%
55.5 1
3.2%
42.67 1
3.2%
7.35 1
3.2%
3.46 1
3.2%
0.89 1
3.2%
0.59 1
3.2%
0.3 1
3.2%

이탈리아_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean1966.245
Minimum28.92
Maximum4998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:23.924811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.92
5-th percentile38.412
Q1146.76
median881.5
Q34044.75
95-th percentile4988.55
Maximum4998
Range4969.08
Interquartile range (IQR)3897.99

Descriptive statistics

Standard deviation2229.4807
Coefficient of variation (CV)1.1338774
Kurtosis-1.8502257
Mean1966.245
Median Absolute Deviation (MAD)839.02
Skewness0.62628767
Sum15729.96
Variance4970584.1
MonotonicityNot monotonic
2023-12-12T19:15:24.047678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
177.0 1
 
3.2%
28.92 1
 
3.2%
56.04 1
 
3.2%
389.0 1
 
3.2%
3736.0 1
 
3.2%
4971.0 1
 
3.2%
4998.0 1
 
3.2%
1374.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
28.92 1
3.2%
56.04 1
3.2%
177.0 1
3.2%
389.0 1
3.2%
1374.0 1
3.2%
3736.0 1
3.2%
4971.0 1
3.2%
4998.0 1
3.2%
ValueCountFrequency (%)
4998.0 1
3.2%
4971.0 1
3.2%
3736.0 1
3.2%
1374.0 1
3.2%
389.0 1
3.2%
177.0 1
3.2%
56.04 1
3.2%
28.92 1
3.2%

이탈리아_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean118.53375
Minimum81.15
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:24.170016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.15
5-th percentile83.39
Q189.0575
median96.005
Q3130.75
95-th percentile194.8
Maximum199
Range117.85
Interquartile range (IQR)41.6925

Descriptive statistics

Standard deviation46.931518
Coefficient of variation (CV)0.3959338
Kurtosis-0.094518261
Mean118.53375
Median Absolute Deviation (MAD)11.655
Skewness1.3127879
Sum948.27
Variance2202.5674
MonotonicityNot monotonic
2023-12-12T19:15:24.291663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
199.0 1
 
3.2%
96.61 1
 
3.2%
95.4 1
 
3.2%
112.0 1
 
3.2%
87.55 1
 
3.2%
89.56 1
 
3.2%
81.15 1
 
3.2%
187.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
81.15 1
3.2%
87.55 1
3.2%
89.56 1
3.2%
95.4 1
3.2%
96.61 1
3.2%
112.0 1
3.2%
187.0 1
3.2%
199.0 1
3.2%
ValueCountFrequency (%)
199.0 1
3.2%
187.0 1
3.2%
112.0 1
3.2%
96.61 1
3.2%
95.4 1
3.2%
89.56 1
3.2%
87.55 1
3.2%
81.15 1
3.2%

영국_물량
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean1913.8889
Minimum122
Maximum8245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:24.420510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile144.95
Q1546.25
median1496
Q31885
95-th percentile6269.6
Maximum8245
Range8123
Interquartile range (IQR)1338.75

Descriptive statistics

Standard deviation2149.8922
Coefficient of variation (CV)1.1233109
Kurtosis3.9164594
Mean1913.8889
Median Absolute Deviation (MAD)933.5
Skewness1.9708151
Sum34450
Variance4622036.5
MonotonicityNot monotonic
2023-12-12T19:15:24.566108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1558 1
 
3.2%
1474 1
 
3.2%
595 1
 
3.2%
3418 1
 
3.2%
8245 1
 
3.2%
1536 1
 
3.2%
5921 1
 
3.2%
530 1
 
3.2%
122 1
 
3.2%
164 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
122 1
3.2%
149 1
3.2%
164 1
3.2%
327 1
3.2%
530 1
3.2%
595 1
3.2%
597 1
3.2%
1461 1
3.2%
1474 1
3.2%
1518 1
3.2%
ValueCountFrequency (%)
8245 1
3.2%
5921 1
3.2%
3418 1
3.2%
3296 1
3.2%
1994 1
3.2%
1558 1
3.2%
1545 1
3.2%
1536 1
3.2%
1518 1
3.2%
1474 1
3.2%

영국_금액
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean162125.39
Minimum7206
Maximum629208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:24.686246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7206
5-th percentile7264.65
Q133045
median153521.5
Q3188987.5
95-th percentile446823.5
Maximum629208
Range622002
Interquartile range (IQR)155942.5

Descriptive statistics

Standard deviation162466.09
Coefficient of variation (CV)1.0021015
Kurtosis2.9976739
Mean162125.39
Median Absolute Deviation (MAD)109714.5
Skewness1.5768996
Sum2918257
Variance2.6395231 × 1010
MonotonicityNot monotonic
2023-12-12T19:15:24.805168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
177523 1
 
3.2%
176049 1
 
3.2%
45035 1
 
3.2%
169531 1
 
3.2%
629208 1
 
3.2%
133860 1
 
3.2%
308343 1
 
3.2%
29867 1
 
3.2%
7206 1
 
3.2%
7275 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
7206 1
3.2%
7275 1
3.2%
7690 1
3.2%
23684 1
3.2%
29867 1
3.2%
42579 1
3.2%
45035 1
3.2%
133860 1
3.2%
137512 1
3.2%
169531 1
3.2%
ValueCountFrequency (%)
629208 1
3.2%
414638 1
3.2%
308343 1
3.2%
238799 1
3.2%
192809 1
3.2%
177523 1
3.2%
176649 1
3.2%
176049 1
3.2%
169531 1
3.2%
137512 1
3.2%

영국_단가
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean83.987778
Minimum44.28
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:24.932423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.28
5-th percentile48.802
Q157.0075
median75.99
Q3117.75
95-th percentile126.15
Maximum127
Range82.72
Interquartile range (IQR)60.7425

Descriptive statistics

Standard deviation29.784049
Coefficient of variation (CV)0.35462361
Kurtosis-1.5402505
Mean83.987778
Median Absolute Deviation (MAD)24.12
Skewness0.27612348
Sum1511.78
Variance887.08956
MonotonicityNot monotonic
2023-12-12T19:15:25.066926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
114.0 1
 
3.2%
119.0 1
 
3.2%
75.67 1
 
3.2%
49.6 1
 
3.2%
76.31 1
 
3.2%
87.14 1
 
3.2%
52.08 1
 
3.2%
56.38 1
 
3.2%
58.89 1
 
3.2%
44.28 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
44.28 1
3.2%
49.6 1
3.2%
51.66 1
3.2%
52.08 1
3.2%
56.38 1
3.2%
58.89 1
3.2%
71.27 1
3.2%
72.48 1
3.2%
75.67 1
3.2%
76.31 1
3.2%
ValueCountFrequency (%)
127.0 1
3.2%
126.0 1
3.2%
121.0 1
3.2%
120.0 1
3.2%
119.0 1
3.2%
114.0 1
3.2%
89.02 1
3.2%
87.14 1
3.2%
76.31 1
3.2%
75.67 1
3.2%

스페인_물량
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean435.125
Minimum0.29
Maximum1759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:25.222055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.381
Q11.07
median67.12
Q3838.75
95-th percentile1471.7
Maximum1759
Range1758.71
Interquartile range (IQR)837.68

Descriptive statistics

Standard deviation590.79534
Coefficient of variation (CV)1.35776
Kurtosis0.23804903
Mean435.125
Median Absolute Deviation (MAD)66.76
Skewness1.1748508
Sum6091.75
Variance349039.13
MonotonicityNot monotonic
2023-12-12T19:15:25.377580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
18.21 1
 
3.2%
872.0 1
 
3.2%
69.69 1
 
3.2%
1759.0 1
 
3.2%
260.0 1
 
3.2%
1317.0 1
 
3.2%
988.0 1
 
3.2%
64.55 1
 
3.2%
0.29 1
 
3.2%
0.44 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
0.29 1
3.2%
0.43 1
3.2%
0.44 1
3.2%
0.57 1
3.2%
2.57 1
3.2%
18.21 1
3.2%
64.55 1
3.2%
69.69 1
3.2%
260.0 1
3.2%
739.0 1
3.2%
ValueCountFrequency (%)
1759.0 1
3.2%
1317.0 1
3.2%
988.0 1
3.2%
872.0 1
3.2%
739.0 1
3.2%
260.0 1
3.2%
69.69 1
3.2%
64.55 1
3.2%
18.21 1
3.2%
2.57 1
3.2%

스페인_금액
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean35700.235
Minimum24.2
Maximum118426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:25.527341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.2
5-th percentile32.1105
Q1123.985
median5826
Q363632.75
95-th percentile116688.55
Maximum118426
Range118401.8
Interquartile range (IQR)63508.765

Descriptive statistics

Standard deviation48704.329
Coefficient of variation (CV)1.364258
Kurtosis-0.81144513
Mean35700.235
Median Absolute Deviation (MAD)5795.715
Skewness0.99164145
Sum499803.29
Variance2.3721117 × 109
MonotonicityNot monotonic
2023-12-12T19:15:25.675399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
440.0 1
 
3.2%
64538.0 1
 
3.2%
6125.0 1
 
3.2%
114650.0 1
 
3.2%
12965.0 1
 
3.2%
115753.0 1
 
3.2%
118426.0 1
 
3.2%
5527.0 1
 
3.2%
24.2 1
 
3.2%
36.37 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
24.2 1
3.2%
36.37 1
3.2%
87.74 1
3.2%
90.98 1
3.2%
223.0 1
3.2%
440.0 1
3.2%
5527.0 1
3.2%
6125.0 1
3.2%
12965.0 1
3.2%
60917.0 1
3.2%
ValueCountFrequency (%)
118426.0 1
3.2%
115753.0 1
3.2%
114650.0 1
3.2%
64538.0 1
3.2%
60917.0 1
3.2%
12965.0 1
3.2%
6125.0 1
3.2%
5527.0 1
3.2%
440.0 1
3.2%
223.0 1
3.2%

스페인_단가
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean92.680714
Minimum24.17
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:25.814111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.17
5-th percentile40.8945
Q176.11
median84.63
Q387.8875
95-th percentile174.65
Maximum213
Range188.83
Interquartile range (IQR)11.7775

Descriptive statistics

Standard deviation45.592065
Coefficient of variation (CV)0.49192612
Kurtosis3.2505957
Mean92.680714
Median Absolute Deviation (MAD)6.935
Skewness1.4792734
Sum1297.53
Variance2078.6363
MonotonicityNot monotonic
2023-12-12T19:15:25.967326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
24.17 1
 
3.2%
74.02 1
 
3.2%
87.88 1
 
3.2%
65.17 1
 
3.2%
49.9 1
 
3.2%
87.89 1
 
3.2%
120.0 1
 
3.2%
85.62 1
 
3.2%
83.64 1
 
3.2%
83.15 1
 
3.2%
Other values (4) 4
 
12.9%
(Missing) 17
54.8%
ValueCountFrequency (%)
24.17 1
3.2%
49.9 1
3.2%
65.17 1
3.2%
74.02 1
3.2%
82.38 1
3.2%
83.15 1
3.2%
83.64 1
3.2%
85.62 1
3.2%
86.71 1
3.2%
87.88 1
3.2%
ValueCountFrequency (%)
213.0 1
3.2%
154.0 1
3.2%
120.0 1
3.2%
87.89 1
3.2%
87.88 1
3.2%
86.71 1
3.2%
85.62 1
3.2%
83.64 1
3.2%
83.15 1
3.2%
82.38 1
3.2%

몰타_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean947.6375
Minimum0.1
Maximum3225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:26.117698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile82.665
Q1542
median705
Q31032.5
95-th percentile2458.15
Maximum3225
Range3224.9
Interquartile range (IQR)490.5

Descriptive statistics

Standard deviation986.97593
Coefficient of variation (CV)1.0415121
Kurtosis5.2088762
Mean947.6375
Median Absolute Deviation (MAD)328
Skewness2.0885733
Sum7581.1
Variance974121.48
MonotonicityNot monotonic
2023-12-12T19:15:26.267587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.1 1
 
3.2%
236.0 1
 
3.2%
1032.0 1
 
3.2%
662.0 1
 
3.2%
1034.0 1
 
3.2%
748.0 1
 
3.2%
3225.0 1
 
3.2%
644.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.1 1
3.2%
236.0 1
3.2%
644.0 1
3.2%
662.0 1
3.2%
748.0 1
3.2%
1032.0 1
3.2%
1034.0 1
3.2%
3225.0 1
3.2%
ValueCountFrequency (%)
3225.0 1
3.2%
1034.0 1
3.2%
1032.0 1
3.2%
748.0 1
3.2%
662.0 1
3.2%
644.0 1
3.2%
236.0 1
3.2%
0.1 1
3.2%

몰타_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean81547.35
Minimum4.8
Maximum249211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:26.422259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile5944.72
Q136639.5
median68238
Q391527.75
95-th percentile206339.15
Maximum249211
Range249206.2
Interquartile range (IQR)54888.25

Descriptive statistics

Standard deviation78219.405
Coefficient of variation (CV)0.95919003
Kurtosis2.960859
Mean81547.35
Median Absolute Deviation (MAD)38153
Skewness1.5648519
Sum652378.8
Variance6.1182753 × 109
MonotonicityNot monotonic
2023-12-12T19:15:26.536651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4.8 1
 
3.2%
16976.0 1
 
3.2%
72065.0 1
 
3.2%
64411.0 1
 
3.2%
126720.0 1
 
3.2%
43194.0 1
 
3.2%
249211.0 1
 
3.2%
79797.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
4.8 1
3.2%
16976.0 1
3.2%
43194.0 1
3.2%
64411.0 1
3.2%
72065.0 1
3.2%
79797.0 1
3.2%
126720.0 1
3.2%
249211.0 1
3.2%
ValueCountFrequency (%)
249211.0 1
3.2%
126720.0 1
3.2%
79797.0 1
3.2%
72065.0 1
3.2%
64411.0 1
3.2%
43194.0 1
3.2%
16976.0 1
3.2%
4.8 1
3.2%

몰타_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean83.575
Minimum47.52
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:26.642947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.52
5-th percentile51.0865
Q166.8075
median74.595
Q3103.755
95-th percentile123.65
Maximum124
Range76.48
Interquartile range (IQR)36.9475

Descriptive statistics

Standard deviation28.563688
Coefficient of variation (CV)0.34177312
Kurtosis-1.1321068
Mean83.575
Median Absolute Deviation (MAD)19.815
Skewness0.50143732
Sum668.6
Variance815.88429
MonotonicityNot monotonic
2023-12-12T19:15:26.755453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
47.52 1
 
3.2%
71.92 1
 
3.2%
69.84 1
 
3.2%
97.34 1
 
3.2%
123.0 1
 
3.2%
57.71 1
 
3.2%
77.27 1
 
3.2%
124.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
47.52 1
3.2%
57.71 1
3.2%
69.84 1
3.2%
71.92 1
3.2%
77.27 1
3.2%
97.34 1
3.2%
123.0 1
3.2%
124.0 1
3.2%
ValueCountFrequency (%)
124.0 1
3.2%
123.0 1
3.2%
97.34 1
3.2%
77.27 1
3.2%
71.92 1
3.2%
69.84 1
3.2%
57.71 1
3.2%
47.52 1
3.2%

벨기에_물량
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing12
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean847.29684
Minimum5.5
Maximum2123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:26.907012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile62.776
Q1576
median913
Q31158
95-th percentile1346.3
Maximum2123
Range2117.5
Interquartile range (IQR)582

Descriptive statistics

Standard deviation507.23804
Coefficient of variation (CV)0.59865447
Kurtosis1.0305187
Mean847.29684
Median Absolute Deviation (MAD)286
Skewness0.34947636
Sum16098.64
Variance257290.43
MonotonicityNot monotonic
2023-12-12T19:15:27.032595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
228.0 1
 
3.2%
2123.0 1
 
3.2%
1260.0 1
 
3.2%
1208.0 1
 
3.2%
919.0 1
 
3.2%
1249.0 1
 
3.2%
1199.0 1
 
3.2%
1093.0 1
 
3.2%
930.0 1
 
3.2%
69.14 1
 
3.2%
Other values (9) 9
29.0%
(Missing) 12
38.7%
ValueCountFrequency (%)
5.5 1
3.2%
69.14 1
3.2%
228.0 1
3.2%
236.0 1
3.2%
446.0 1
3.2%
706.0 1
3.2%
732.0 1
3.2%
795.0 1
3.2%
870.0 1
3.2%
913.0 1
3.2%
ValueCountFrequency (%)
2123.0 1
3.2%
1260.0 1
3.2%
1249.0 1
3.2%
1208.0 1
3.2%
1199.0 1
3.2%
1117.0 1
3.2%
1093.0 1
3.2%
930.0 1
3.2%
919.0 1
3.2%
913.0 1
3.2%

벨기에_금액
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing12
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean105876.79
Minimum273
Maximum350529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:27.158936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum273
5-th percentile3210.6
Q150007.5
median96333
Q3131513
95-th percentile203010
Maximum350529
Range350256
Interquartile range (IQR)81505.5

Descriptive statistics

Standard deviation80875.563
Coefficient of variation (CV)0.7638649
Kurtosis3.7147857
Mean105876.79
Median Absolute Deviation (MAD)40015
Skewness1.4099202
Sum2011659
Variance6.5408567 × 109
MonotonicityNot monotonic
2023-12-12T19:15:27.743181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
14626 1
 
3.2%
350529 1
 
3.2%
185046 1
 
3.2%
118704 1
 
3.2%
96333 1
 
3.2%
140832 1
 
3.2%
117618 1
 
3.2%
93221 1
 
3.2%
91235 1
 
3.2%
3537 1
 
3.2%
Other values (9) 9
29.0%
(Missing) 12
38.7%
ValueCountFrequency (%)
273 1
3.2%
3537 1
3.2%
14626 1
3.2%
35123 1
3.2%
41999 1
3.2%
58016 1
3.2%
91235 1
3.2%
93176 1
3.2%
93221 1
3.2%
96333 1
3.2%
ValueCountFrequency (%)
350529 1
3.2%
186619 1
3.2%
185046 1
3.2%
140832 1
3.2%
136348 1
3.2%
126678 1
3.2%
121746 1
3.2%
118704 1
3.2%
117618 1
3.2%
96333 1
3.2%

벨기에_단가
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing12
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean113.25526
Minimum49.68
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:27.900921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.68
5-th percentile51.012
Q189.75
median105
Q3148
95-th percentile167.5
Maximum172
Range122.32
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation39.303391
Coefficient of variation (CV)0.34703368
Kurtosis-1.1750917
Mean113.25526
Median Absolute Deviation (MAD)40.89
Skewness-0.057401459
Sum2151.85
Variance1544.7565
MonotonicityNot monotonic
2023-12-12T19:15:28.051437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
149.0 2
 
6.5%
98.11 1
 
3.2%
165.0 1
 
3.2%
147.0 1
 
3.2%
98.23 1
 
3.2%
105.0 1
 
3.2%
113.0 1
 
3.2%
98.07 1
 
3.2%
85.26 1
 
3.2%
51.16 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 12
38.7%
ValueCountFrequency (%)
49.68 1
3.2%
51.16 1
3.2%
64.11 1
3.2%
72.99 1
3.2%
85.26 1
3.2%
94.24 1
3.2%
98.07 1
3.2%
98.11 1
3.2%
98.23 1
3.2%
105.0 1
3.2%
ValueCountFrequency (%)
172.0 1
3.2%
167.0 1
3.2%
165.0 1
3.2%
149.0 2
6.5%
147.0 1
3.2%
146.0 1
3.2%
127.0 1
3.2%
113.0 1
3.2%
105.0 1
3.2%
98.23 1
3.2%

불가리아_물량
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean1.075
Minimum0.14
Maximum2.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:28.195345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.1435
Q10.36
median0.875
Q31.7325
95-th percentile2.3355
Maximum2.64
Range2.5
Interquartile range (IQR)1.3725

Descriptive statistics

Standard deviation0.89239645
Coefficient of variation (CV)0.83013623
Kurtosis-0.5330604
Mean1.075
Median Absolute Deviation (MAD)0.73
Skewness0.68173994
Sum8.6
Variance0.79637143
MonotonicityNot monotonic
2023-12-12T19:15:28.334029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.14 1
 
3.2%
0.15 1
 
3.2%
1.77 1
 
3.2%
0.89 1
 
3.2%
0.43 1
 
3.2%
1.72 1
 
3.2%
0.86 1
 
3.2%
2.64 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
0.14 1
3.2%
0.15 1
3.2%
0.43 1
3.2%
0.86 1
3.2%
0.89 1
3.2%
1.72 1
3.2%
1.77 1
3.2%
2.64 1
3.2%
ValueCountFrequency (%)
2.64 1
3.2%
1.77 1
3.2%
1.72 1
3.2%
0.89 1
3.2%
0.86 1
3.2%
0.43 1
3.2%
0.15 1
3.2%
0.14 1
3.2%

불가리아_금액
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean146.64375
Minimum15.61
Maximum601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:28.471704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.61
5-th percentile16.926
Q140.85
median81.08
Q3162.25
95-th percentile448.75
Maximum601
Range585.39
Interquartile range (IQR)121.4

Descriptive statistics

Standard deviation192.24826
Coefficient of variation (CV)1.3109884
Kurtosis5.9696325
Mean146.64375
Median Absolute Deviation (MAD)63.59
Skewness2.3583046
Sum1173.15
Variance36959.392
MonotonicityNot monotonic
2023-12-12T19:15:28.617106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
19.37 1
 
3.2%
15.61 1
 
3.2%
166.0 1
 
3.2%
80.34 1
 
3.2%
48.01 1
 
3.2%
161.0 1
 
3.2%
81.82 1
 
3.2%
601.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
15.61 1
3.2%
19.37 1
3.2%
48.01 1
3.2%
80.34 1
3.2%
81.82 1
3.2%
161.0 1
3.2%
166.0 1
3.2%
601.0 1
3.2%
ValueCountFrequency (%)
601.0 1
3.2%
166.0 1
3.2%
161.0 1
3.2%
81.82 1
3.2%
80.34 1
3.2%
48.01 1
3.2%
19.37 1
3.2%
15.61 1
3.2%

불가리아_단가
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean119.66
Minimum90.58
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:28.733991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.58
5-th percentile91.616
Q193.9
median100.07
Q3119
95-th percentile196.55
Maximum227
Range136.42
Interquartile range (IQR)25.1

Descriptive statistics

Standard deviation46.284405
Coefficient of variation (CV)0.38679931
Kurtosis5.1819152
Mean119.66
Median Absolute Deviation (MAD)8.01
Skewness2.2429363
Sum957.28
Variance2142.2462
MonotonicityNot monotonic
2023-12-12T19:15:28.847813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
140.0 1
 
3.2%
105.0 1
 
3.2%
94.02 1
 
3.2%
90.58 1
 
3.2%
112.0 1
 
3.2%
93.54 1
 
3.2%
95.14 1
 
3.2%
227.0 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
90.58 1
3.2%
93.54 1
3.2%
94.02 1
3.2%
95.14 1
3.2%
105.0 1
3.2%
112.0 1
3.2%
140.0 1
3.2%
227.0 1
3.2%
ValueCountFrequency (%)
227.0 1
3.2%
140.0 1
3.2%
112.0 1
3.2%
105.0 1
3.2%
95.14 1
3.2%
94.02 1
3.2%
93.54 1
3.2%
90.58 1
3.2%

핀란드_물량
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
1.42
 
1
1619.0
 
1
0.1
 
1

Length

Max length6
Median length4
Mean length4.0322581
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
1.42 1
 
3.2%
1619.0 1
 
3.2%
0.1 1
 
3.2%

Length

2023-12-12T19:15:28.984109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:29.096119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
1.42 1
 
3.2%
1619.0 1
 
3.2%
0.1 1
 
3.2%

핀란드_금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
128.0
 
1
198571.0
 
1
8.55
 
1

Length

Max length8
Median length4
Mean length4.1612903
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
128.0 1
 
3.2%
198571.0 1
 
3.2%
8.55 1
 
3.2%

Length

2023-12-12T19:15:29.234458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:29.365708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
128.0 1
 
3.2%
198571.0 1
 
3.2%
8.55 1
 
3.2%

핀란드_단가
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
90.7
 
1
123.0
 
1
84.89
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
90.3%
90.7 1
 
3.2%
123.0 1
 
3.2%
84.89 1
 
3.2%

Length

2023-12-12T19:15:29.482686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:29.592180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
90.7 1
 
3.2%
123.0 1
 
3.2%
84.89 1
 
3.2%

헝가리_물량
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean4.4271429
Minimum1.27
Maximum14.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:29.690964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.27
5-th percentile1.276
Q11.43
median1.74
Q35.44
95-th percentile12.398
Maximum14.24
Range12.97
Interquartile range (IQR)4.01

Descriptive statistics

Standard deviation4.9613228
Coefficient of variation (CV)1.1206602
Kurtosis2.130097
Mean4.4271429
Median Absolute Deviation (MAD)0.47
Skewness1.6907626
Sum30.99
Variance24.614724
MonotonicityNot monotonic
2023-12-12T19:15:29.795753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1.74 1
 
3.2%
2.78 1
 
3.2%
1.27 1
 
3.2%
1.29 1
 
3.2%
8.1 1
 
3.2%
14.24 1
 
3.2%
1.57 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
1.27 1
3.2%
1.29 1
3.2%
1.57 1
3.2%
1.74 1
3.2%
2.78 1
3.2%
8.1 1
3.2%
14.24 1
3.2%
ValueCountFrequency (%)
14.24 1
3.2%
8.1 1
3.2%
2.78 1
3.2%
1.74 1
3.2%
1.57 1
3.2%
1.29 1
3.2%
1.27 1
3.2%

헝가리_금액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean471.71429
Minimum126
Maximum1369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:29.911159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile132
Q1189.5
median250
Q3589
95-th percentile1225.6
Maximum1369
Range1243
Interquartile range (IQR)399.5

Descriptive statistics

Standard deviation473.77763
Coefficient of variation (CV)1.0043741
Kurtosis1.189917
Mean471.71429
Median Absolute Deviation (MAD)104
Skewness1.5127249
Sum3302
Variance224465.24
MonotonicityNot monotonic
2023-12-12T19:15:30.051918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
287 1
 
3.2%
250 1
 
3.2%
126 1
 
3.2%
146 1
 
3.2%
891 1
 
3.2%
1369 1
 
3.2%
233 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
126 1
3.2%
146 1
3.2%
233 1
3.2%
250 1
3.2%
287 1
3.2%
891 1
3.2%
1369 1
3.2%
ValueCountFrequency (%)
1369 1
3.2%
891 1
3.2%
287 1
3.2%
250 1
3.2%
233 1
3.2%
146 1
3.2%
126 1
3.2%

헝가리_단가
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing24
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean117.25143
Minimum89.98
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:30.174511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.98
5-th percentile91.819
Q197.39
median110
Q3130.5
95-th percentile159.9
Maximum165
Range75.02
Interquartile range (IQR)33.11

Descriptive statistics

Standard deviation28.378451
Coefficient of variation (CV)0.24203075
Kurtosis-0.38685685
Mean117.25143
Median Absolute Deviation (MAD)13.89
Skewness1.0345383
Sum820.76
Variance805.33648
MonotonicityNot monotonic
2023-12-12T19:15:30.305736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
165.0 1
 
3.2%
89.98 1
 
3.2%
98.67 1
 
3.2%
113.0 1
 
3.2%
110.0 1
 
3.2%
96.11 1
 
3.2%
148.0 1
 
3.2%
(Missing) 24
77.4%
ValueCountFrequency (%)
89.98 1
3.2%
96.11 1
3.2%
98.67 1
3.2%
110.0 1
3.2%
113.0 1
3.2%
148.0 1
3.2%
165.0 1
3.2%
ValueCountFrequency (%)
165.0 1
3.2%
148.0 1
3.2%
113.0 1
3.2%
110.0 1
3.2%
98.67 1
3.2%
96.11 1
3.2%
89.98 1
3.2%

우크라이나_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
1977.0
 
1
0.3
 
1

Length

Max length6
Median length4
Mean length4.0322581
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
1977.0 1
 
3.2%
0.3 1
 
3.2%

Length

2023-12-12T19:15:30.490341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:30.625254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
1977.0 1
 
3.2%
0.3 1
 
3.2%

우크라이나_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
187801.0
 
1
30.53
 
1

Length

Max length8
Median length4
Mean length4.1612903
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
187801.0 1
 
3.2%
30.53 1
 
3.2%

Length

2023-12-12T19:15:30.767957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:30.957710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
187801.0 1
 
3.2%
30.53 1
 
3.2%

우크라이나_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
94.97
 
1
103.0
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
94.97 1
 
3.2%
103.0 1
 
3.2%

Length

2023-12-12T19:15:31.064902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:31.172356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
94.97 1
 
3.2%
103.0 1
 
3.2%

슬로베니아_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
1.75
 
1
4.2
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
1.75 1
 
3.2%
4.2 1
 
3.2%

Length

2023-12-12T19:15:31.325245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:31.481472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
1.75 1
 
3.2%
4.2 1
 
3.2%

슬로베니아_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
166
 
1
530
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
166 1
 
3.2%
530 1
 
3.2%

Length

2023-12-12T19:15:31.614537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:31.736123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
166 1
 
3.2%
530 1
 
3.2%

슬로베니아_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
94.44
 
1
126.0
 
1

Length

Max length5
Median length4
Mean length4.0645161
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
94.44 1
 
3.2%
126.0 1
 
3.2%

Length

2023-12-12T19:15:31.862334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:31.976456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
94.44 1
 
3.2%
126.0 1
 
3.2%

키프로스_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
0.29
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
0.29 1
 
3.2%

Length

2023-12-12T19:15:32.114642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:32.219862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
0.29 1
 
3.2%

키프로스_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
25.02
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
25.02 1
 
3.2%

Length

2023-12-12T19:15:32.335044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:32.458426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
25.02 1
 
3.2%

키프로스_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
87.3
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
87.3 1
 
3.2%

Length

2023-12-12T19:15:32.567453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:32.681291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
87.3 1
 
3.2%

세르비아_물량
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
37.02
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
37.02 1
 
3.2%

Length

2023-12-12T19:15:32.792733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:32.902115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
37.02 1
 
3.2%

세르비아_금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
1797
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
1797 1
 
3.2%

Length

2023-12-12T19:15:33.044216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:33.167226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
1797 1
 
3.2%

세르비아_단가
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
48.55
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
48.55 1
 
3.2%

Length

2023-12-12T19:15:33.302394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:33.423933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
48.55 1
 
3.2%

스위스_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
274.0
 
1
63.41
 
1
234.0
 
1
307.0
 
1

Length

Max length5
Median length4
Mean length4.1290323
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
274.0 1
 
3.2%
63.41 1
 
3.2%
234.0 1
 
3.2%
307.0 1
 
3.2%

Length

2023-12-12T19:15:33.551915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:33.706784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
274.0 1
 
3.2%
63.41 1
 
3.2%
234.0 1
 
3.2%
307.0 1
 
3.2%

스위스_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
23228
 
1
5805
 
1
30639
 
1
11205
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
23228 1
 
3.2%
5805 1
 
3.2%
30639 1
 
3.2%
11205 1
 
3.2%

Length

2023-12-12T19:15:33.853806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:34.014756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
23228 1
 
3.2%
5805 1
 
3.2%
30639 1
 
3.2%
11205 1
 
3.2%

스위스_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
84.62
 
1
91.54
 
1
131.0
 
1
36.5
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
84.62 1
 
3.2%
91.54 1
 
3.2%
131.0 1
 
3.2%
36.5 1
 
3.2%

Length

2023-12-12T19:15:34.173771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:34.314492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
84.62 1
 
3.2%
91.54 1
 
3.2%
131.0 1
 
3.2%
36.5 1
 
3.2%

라트비아_물량
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
4.6
 
1
0.89
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
4.6 1
 
3.2%
0.89 1
 
3.2%

Length

2023-12-12T19:15:34.449620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:34.555417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
4.6 1
 
3.2%
0.89 1
 
3.2%

라트비아_금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
145
 
1
198
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length3

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
145 1
 
3.2%
198 1
 
3.2%

Length

2023-12-12T19:15:34.674278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:34.796631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
145 1
 
3.2%
198 1
 
3.2%

라트비아_단가
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
31.5
 
1
222.0
 
1

Length

Max length5
Median length4
Mean length4.0322581
Min length4

Unique

Unique2 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
93.5%
31.5 1
 
3.2%
222.0 1
 
3.2%

Length

2023-12-12T19:15:34.908773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:35.031240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
31.5 1
 
3.2%
222.0 1
 
3.2%

합계_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327810.84
Minimum86840.85
Maximum531393.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:35.151619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86840.85
5-th percentile94249.62
Q1237303.4
median303023.23
Q3447495.24
95-th percentile515428.08
Maximum531393.24
Range444552.39
Interquartile range (IQR)210191.84

Descriptive statistics

Standard deviation136381.14
Coefficient of variation (CV)0.4160361
Kurtosis-0.99150174
Mean327810.84
Median Absolute Deviation (MAD)125926.81
Skewness-0.21227404
Sum10162136
Variance1.8599817 × 1010
MonotonicityNot monotonic
2023-12-12T19:15:35.281793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
86840.85 1
 
3.2%
98553.0 1
 
3.2%
496864.89 1
 
3.2%
446406.04 1
 
3.2%
468408.24 1
 
3.2%
521931.5 1
 
3.2%
531393.24 1
 
3.2%
508924.66 1
 
3.2%
487515.41 1
 
3.2%
477202.59 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
86840.85 1
3.2%
89946.24 1
3.2%
98553.0 1
3.2%
120317.51 1
3.2%
155183.04 1
3.2%
209078.78 1
3.2%
227922.38 1
3.2%
235506.25 1
3.2%
239100.56 1
3.2%
262642.25 1
3.2%
ValueCountFrequency (%)
531393.24 1
3.2%
521931.5 1
3.2%
508924.66 1
3.2%
496864.89 1
3.2%
487515.41 1
3.2%
477202.59 1
3.2%
468408.24 1
3.2%
448584.45 1
3.2%
446406.04 1
3.2%
440652.64 1
3.2%

합계_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22724030
Minimum1508799.8
Maximum60907588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:35.409407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1508799.8
5-th percentile1608293.5
Q15970934.5
median22559525
Q336418201
95-th percentile52073362
Maximum60907588
Range59398788
Interquartile range (IQR)30447267

Descriptive statistics

Standard deviation18266722
Coefficient of variation (CV)0.80385047
Kurtosis-1.0003125
Mean22724030
Median Absolute Deviation (MAD)15919088
Skewness0.4933987
Sum7.0444493 × 108
Variance3.3367313 × 1014
MonotonicityNot monotonic
2023-12-12T19:15:35.594843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1565465.0 1
 
3.2%
1651122.0 1
 
3.2%
60907588.1 1
 
3.2%
35888405.92 1
 
3.2%
22882996.44 1
 
3.2%
38103591.57 1
 
3.2%
42981087.21 1
 
3.2%
32483191.59 1
 
3.2%
24423324.26 1
 
3.2%
30043541.67 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1508799.8 1
3.2%
1565465.0 1
3.2%
1651122.0 1
3.2%
2251832.0 1
3.2%
3589162.38 1
3.2%
4388996.8 1
3.2%
5100074.0 1
3.2%
5522699.0 1
3.2%
6419170.0 1
3.2%
6640437.0 1
3.2%
ValueCountFrequency (%)
60907588.1 1
3.2%
53689117.29 1
3.2%
50457606.34 1
3.2%
49051621.0 1
3.2%
48954057.2 1
3.2%
42981087.21 1
3.2%
38103591.57 1
3.2%
36947997.0 1
3.2%
35888405.92 1
3.2%
32483191.59 1
3.2%

합계_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.236774
Minimum14.9
Maximum122.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:15:35.732872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.9
5-th percentile16.76
Q124.7
median58.49
Q380.635
95-th percentile121
Maximum122.58
Range107.68
Interquartile range (IQR)55.935

Descriptive statistics

Standard deviation36.619451
Coefficient of variation (CV)0.61818779
Kurtosis-1.1155882
Mean59.236774
Median Absolute Deviation (MAD)31.64
Skewness0.4259597
Sum1836.34
Variance1340.9842
MonotonicityNot monotonic
2023-12-12T19:15:35.902487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
18.03 1
 
3.2%
16.75 1
 
3.2%
122.58 1
 
3.2%
80.39 1
 
3.2%
48.85 1
 
3.2%
73.0 1
 
3.2%
80.88 1
 
3.2%
63.83 1
 
3.2%
50.1 1
 
3.2%
62.96 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
14.9 1
3.2%
16.75 1
3.2%
16.77 1
3.2%
18.03 1
3.2%
18.72 1
3.2%
18.89 1
3.2%
22.38 1
3.2%
23.13 1
3.2%
26.27 1
3.2%
26.85 1
3.2%
ValueCountFrequency (%)
122.58 1
3.2%
122.0 1
3.2%
120.0 1
3.2%
118.0 1
3.2%
111.0 1
3.2%
109.0 1
3.2%
87.47 1
3.2%
80.88 1
3.2%
80.39 1
3.2%
80.25 1
3.2%

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_단가피지_물량피지_금액피지_단가러시아_물량러시아_금액러시아_단가사모아_물량사모아_금액사모아_단가카자흐스탄_물량카자흐스탄_금액카자흐스탄_단가우즈베키스탄_물량우즈베키스탄_금액우즈베키스탄_단가타히티(프)_물량타히티(프)_금액타히티(프)_단가뉴칼레도니아_물량뉴칼레도니아_금액뉴칼레도니아_단가디에고가르시아(영)_물량디에고가르시아(영)_금액디에고가르시아(영)_단가마셜제도공화국_물량마셜제도공화국_금액마셜제도공화국_단가나우르_물량나우르_금액나우르_단가동티모르_물량동티모르_금액동티모르_단가마카오_물량마카오_금액마카오_단가미크로네시아_물량미크로네시아_금액미크로네시아_단가몽골_물량몽골_금액몽골_단가아시아(기타)_물량아시아(기타)_금액아시아(기타)_단가몰디브_물량몰디브_금액몰디브_단가팔라우_물량팔라우_금액팔라우_단가솔로몬제도_물량솔로몬제도_금액솔로몬제도_단가캄보디아_물량캄보디아_금액캄보디아_단가튀니지_물량튀니지_금액튀니지_단가알제리_물량알제리_금액알제리_단가모리셔스_물량모리셔스_금액모리셔스_단가이집트_물량이집트_금액이집트_단가앙골라_물량앙골라_금액앙골라_단가에티오피아_물량에티오피아_금액에티오피아_단가카메룬_물량카메룬_금액카메룬_단가케냐_물량케냐_금액케냐_단가나이지리아_물량나이지리아_금액나이지리아_단가남아프리카공화국_물량남아프리카공화국_금액남아프리카공화국_단가모잠비크_물량모잠비크_금액모잠비크_단가수단_물량수단_금액수단_단가가나_물량가나_금액가나_단가마다가스카르_물량마다가스카르_금액마다가스카르_단가모로코_물량모로코_금액모로코_단가세네갈_물량세네갈_금액세네갈_단가시에라리온_물량시에라리온_금액시에라리온_단가탄자니아_물량탄자니아_금액탄자니아_단가모잠비크_물량.1모잠비크_금액.1모잠비크_단가.1토고_물량토고_금액토고_단가지부티_물량지부티_금액지부티_단가캐나다_물량캐나다_금액캐나다_단가미국_물량미국_금액미국_단가멕시코_물량멕시코_금액멕시코_단가베네수엘라_물량베네수엘라_금액베네수엘라_단가브라질_물량브라질_금액브라질_단가에콰도르_물량에콰도르_금액에콰도르_단가페루_물량페루_금액페루_단가아르헨티나_물량아르헨티나_금액아르헨티나_단가콜롬비아_물량콜롬비아_금액콜롬비아_단가푸에르토리코_물량푸에르토리코_금액푸에르토리코_단가아루바_물량아루바_금액아루바_단가바하마_물량바하마_금액바하마_단가칠레_물량칠레_금액칠레_단가파나마_물량파나마_금액파나마_단가트리니다드토바고_물량트리니다드토바고_금액트리니다드토바고_단가엘살바도르_물량엘살바도르_금액엘살바도르_단가도미니카공화국_물량도미니카공화국_금액도미니카공화국_단가안틸리스_물량안틸리스_금액안틸리스_단가과테말라_물량과테말라_금액과테말라_단가파라과이_물량파라과이_금액파라과이_단가이란_물량이란_금액이란_단가이라크_물량이라크_금액이라크_단가쿠웨이트_물량쿠웨이트_금액쿠웨이트_단가카타르_물량카타르_금액카타르_단가아랍에미레이트_물량아랍에미레이트_금액아랍에미레이트_단가사우디아라비아_물량사우디아라비아_금액사우디아라비아_단가예멘_물량예멘_금액예멘_단가오만_물량오만_금액오만_단가중립지대_물량중립지대_금액중립지대_단가튀르기예_물량튀르기예_금액튀르기예_단가이스라엘_물량이스라엘_금액이스라엘_단가아제르바이잔_물량아제르바이잔_금액아제르바이잔_단가요르단_물량요르단_금액요르단_단가조지아_물량조지아_금액조지아_단가레바논_물량레바논_금액레바논_단가노르웨이_물량노르웨이_금액노르웨이_단가덴마크_물량덴마크_금액덴마크_단가네덜란드_물량네덜란드_금액네덜란드_단가프랑스_물량프랑스_금액프랑스_단가그리스_물량그리스_금액그리스_단가독일_물량독일_금액독일_단가루마니아_물량루마니아_금액루마니아_단가오스트리아_물량오스트리아_금액오스트리아_단가이탈리아_물량이탈리아_금액이탈리아_단가영국_물량영국_금액영국_단가스페인_물량스페인_금액스페인_단가몰타_물량몰타_금액몰타_단가벨기에_물량벨기에_금액벨기에_단가불가리아_물량불가리아_금액불가리아_단가핀란드_물량핀란드_금액핀란드_단가헝가리_물량헝가리_금액헝가리_단가우크라이나_물량우크라이나_금액우크라이나_단가슬로베니아_물량슬로베니아_금액슬로베니아_단가키프로스_물량키프로스_금액키프로스_단가세르비아_물량세르비아_금액세르비아_단가스위스_물량스위스_금액스위스_단가라트비아_물량라트비아_금액라트비아_단가합계_물량합계_금액합계_단가
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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_단가피지_물량피지_금액피지_단가러시아_물량러시아_금액러시아_단가사모아_물량사모아_금액사모아_단가카자흐스탄_물량카자흐스탄_금액카자흐스탄_단가우즈베키스탄_물량우즈베키스탄_금액우즈베키스탄_단가타히티(프)_물량타히티(프)_금액타히티(프)_단가뉴칼레도니아_물량뉴칼레도니아_금액뉴칼레도니아_단가디에고가르시아(영)_물량디에고가르시아(영)_금액디에고가르시아(영)_단가마셜제도공화국_물량마셜제도공화국_금액마셜제도공화국_단가나우르_물량나우르_금액나우르_단가동티모르_물량동티모르_금액동티모르_단가마카오_물량마카오_금액마카오_단가미크로네시아_물량미크로네시아_금액미크로네시아_단가몽골_물량몽골_금액몽골_단가아시아(기타)_물량아시아(기타)_금액아시아(기타)_단가몰디브_물량몰디브_금액몰디브_단가팔라우_물량팔라우_금액팔라우_단가솔로몬제도_물량솔로몬제도_금액솔로몬제도_단가캄보디아_물량캄보디아_금액캄보디아_단가튀니지_물량튀니지_금액튀니지_단가알제리_물량알제리_금액알제리_단가모리셔스_물량모리셔스_금액모리셔스_단가이집트_물량이집트_금액이집트_단가앙골라_물량앙골라_금액앙골라_단가에티오피아_물량에티오피아_금액에티오피아_단가카메룬_물량카메룬_금액카메룬_단가케냐_물량케냐_금액케냐_단가나이지리아_물량나이지리아_금액나이지리아_단가남아프리카공화국_물량남아프리카공화국_금액남아프리카공화국_단가모잠비크_물량모잠비크_금액모잠비크_단가수단_물량수단_금액수단_단가가나_물량가나_금액가나_단가마다가스카르_물량마다가스카르_금액마다가스카르_단가모로코_물량모로코_금액모로코_단가세네갈_물량세네갈_금액세네갈_단가시에라리온_물량시에라리온_금액시에라리온_단가탄자니아_물량탄자니아_금액탄자니아_단가모잠비크_물량.1모잠비크_금액.1모잠비크_단가.1토고_물량토고_금액토고_단가지부티_물량지부티_금액지부티_단가캐나다_물량캐나다_금액캐나다_단가미국_물량미국_금액미국_단가멕시코_물량멕시코_금액멕시코_단가베네수엘라_물량베네수엘라_금액베네수엘라_단가브라질_물량브라질_금액브라질_단가에콰도르_물량에콰도르_금액에콰도르_단가페루_물량페루_금액페루_단가아르헨티나_물량아르헨티나_금액아르헨티나_단가콜롬비아_물량콜롬비아_금액콜롬비아_단가푸에르토리코_물량푸에르토리코_금액푸에르토리코_단가아루바_물량아루바_금액아루바_단가바하마_물량바하마_금액바하마_단가칠레_물량칠레_금액칠레_단가파나마_물량파나마_금액파나마_단가트리니다드토바고_물량트리니다드토바고_금액트리니다드토바고_단가엘살바도르_물량엘살바도르_금액엘살바도르_단가도미니카공화국_물량도미니카공화국_금액도미니카공화국_단가안틸리스_물량안틸리스_금액안틸리스_단가과테말라_물량과테말라_금액과테말라_단가파라과이_물량파라과이_금액파라과이_단가이란_물량이란_금액이란_단가이라크_물량이라크_금액이라크_단가쿠웨이트_물량쿠웨이트_금액쿠웨이트_단가카타르_물량카타르_금액카타르_단가아랍에미레이트_물량아랍에미레이트_금액아랍에미레이트_단가사우디아라비아_물량사우디아라비아_금액사우디아라비아_단가예멘_물량예멘_금액예멘_단가오만_물량오만_금액오만_단가중립지대_물량중립지대_금액중립지대_단가튀르기예_물량튀르기예_금액튀르기예_단가이스라엘_물량이스라엘_금액이스라엘_단가아제르바이잔_물량아제르바이잔_금액아제르바이잔_단가요르단_물량요르단_금액요르단_단가조지아_물량조지아_금액조지아_단가레바논_물량레바논_금액레바논_단가노르웨이_물량노르웨이_금액노르웨이_단가덴마크_물량덴마크_금액덴마크_단가네덜란드_물량네덜란드_금액네덜란드_단가프랑스_물량프랑스_금액프랑스_단가그리스_물량그리스_금액그리스_단가독일_물량독일_금액독일_단가루마니아_물량루마니아_금액루마니아_단가오스트리아_물량오스트리아_금액오스트리아_단가이탈리아_물량이탈리아_금액이탈리아_단가영국_물량영국_금액영국_단가스페인_물량스페인_금액스페인_단가몰타_물량몰타_금액몰타_단가벨기에_물량벨기에_금액벨기에_단가불가리아_물량불가리아_금액불가리아_단가핀란드_물량핀란드_금액핀란드_단가헝가리_물량헝가리_금액헝가리_단가우크라이나_물량우크라이나_금액우크라이나_단가슬로베니아_물량슬로베니아_금액슬로베니아_단가키프로스_물량키프로스_금액키프로스_단가세르비아_물량세르비아_금액세르비아_단가스위스_물량스위스_금액스위스_단가라트비아_물량라트비아_금액라트비아_단가합계_물량합계_금액합계_단가
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