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da's Introduction

코멘토 직무탬프 3주차 과제

데이터 추출, 전처리

  • 구글 빅쿼리를 활용하여 진행
SELECT *
FROM( SELECT WID, COUNT(*)login_count, MAX(level)level
FROM project.raw_login_data GROUP BY 1)
  • WID 기준으로 그룹화를 함
  • 그 후 COUNT를 이용해 로그인 횟수를 알아낸 후 가장 높은 레벨을 추출(레벨이 겹치는 문제를 방지하기 위함)
  • max_level.csv

데이터 분석

  • 레벨의 평균값이 10 정도이고, 상위 25%가 레벨 16부터 시작, 중앙값이 6

  • 25이상이 S, 16 ~ 25는 A, 10 ~ 16은 B, 6 ~ 10은 C, 나머지는 D로 구간을 나눔

  • 그 후 각 랭크별 수를 히스토그램을 그려 나타냄 hist1

  • D 구간이 앞도적으로 높은 걸 알 수 있음

  • 로그인 횟수와 레벨간의 상관계수를 구했을 땐 0.38627이 나옴

    • 양의 상관관계를 갖지만 사실상 상관이 크게 없다고 볼 수 있음

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