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데이터 사이언스 SCHOOL
1
Abstract
1. 문제인식: 비즈니스 현장에서 데이터를 수집하기 힘들 때, 현재 데이터만으로 미래현상
을 통계적으로 예측할 수 있는 방법은 없는가?
2. 가설설정: 특정 년도의 인구 데이터에 인구이동 데이터 전이행렬로 가공하여 조합하면
미래인구변화에 대한 예상 추이를 밝힐 수 있다.
3. 평가: 정확한 인구예측은 힘들지만 시도간 인구비례, 인구분포의 형태는 예측 가능하다.
즉, 데이터 수집이 힘들어도 현재 데이터를 통해 미래현상이 가능한 부분이 있음.
프로젝트 개요
- 통계청에서 시도별 연도별 인구데이터와 시도별 연도별 인구이동데이터를 내려받고 가공함.
-인구변화추이를 시각화 하고, 특정년도의 인구이동추이를 히트맵으로 시각화 하여 본 후 전이행렬이 유의
미한 분석툴이 될 수 있을 것이라 판단하여 인구이동matrix를 전이matrix로 바꾸었다.
-97년의 인구데이터와 인구이동데이터로 98년의 예상인구, 2004년의 인구, 2014년의 인구를 예측한 결과
실제인구데이터와 오차가 있었으나 전국 인구비례, 변화율은 비슷하게 예측할 수 있었다.
*전이행렬에 포함되지 않는 외부데이터, 즉 97년 2009년 경제위기, 2000년대 초중반 부동산 버블, 2010년
이후 1인가구 증가패턴등을 변수를 포함하는 시계열 분석으로 더 정확한 분석이 가능할 것이다.
통계청 시도별 인구 자료와 시도간 인구 이동 자료를 통한 미래인구추정
개인프로젝트

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[패스트캠퍼스] 통계청 시도별 인구 자료와 시도간 인구 이동 자료를 통한 미래인구추정

  • 1. 데이터 사이언스 SCHOOL 1 Abstract 1. 문제인식: 비즈니스 현장에서 데이터를 수집하기 힘들 때, 현재 데이터만으로 미래현상 을 통계적으로 예측할 수 있는 방법은 없는가? 2. 가설설정: 특정 년도의 인구 데이터에 인구이동 데이터 전이행렬로 가공하여 조합하면 미래인구변화에 대한 예상 추이를 밝힐 수 있다. 3. 평가: 정확한 인구예측은 힘들지만 시도간 인구비례, 인구분포의 형태는 예측 가능하다. 즉, 데이터 수집이 힘들어도 현재 데이터를 통해 미래현상이 가능한 부분이 있음. 프로젝트 개요 - 통계청에서 시도별 연도별 인구데이터와 시도별 연도별 인구이동데이터를 내려받고 가공함. -인구변화추이를 시각화 하고, 특정년도의 인구이동추이를 히트맵으로 시각화 하여 본 후 전이행렬이 유의 미한 분석툴이 될 수 있을 것이라 판단하여 인구이동matrix를 전이matrix로 바꾸었다. -97년의 인구데이터와 인구이동데이터로 98년의 예상인구, 2004년의 인구, 2014년의 인구를 예측한 결과 실제인구데이터와 오차가 있었으나 전국 인구비례, 변화율은 비슷하게 예측할 수 있었다. *전이행렬에 포함되지 않는 외부데이터, 즉 97년 2009년 경제위기, 2000년대 초중반 부동산 버블, 2010년 이후 1인가구 증가패턴등을 변수를 포함하는 시계열 분석으로 더 정확한 분석이 가능할 것이다. 통계청 시도별 인구 자료와 시도간 인구 이동 자료를 통한 미래인구추정 개인프로젝트