DFT的matlab源代码-MovieLens-EDA:电影评级和评论的MovieLens数据集分析

上传者: 38609247 | 上传时间: 2022-05-20 10:56:23 | 文件大小: 2.43MB | 文件类型: ZIP
DFT的matlab源代码MovieLens数据集分析 马修·约翰逊(Matthew Johnson) 数据集包含4个与电影分级有关的csv文件。 我想探索: 哪些类型与评级趋势或分布最相关? 用户评分习惯(高/低方差,高/低趋势)。 与正面评分与负面评分相关的标签。 预算/工期与评分是否有任何关系? DataFrame形状:电影:(9125,3),评分:(100004,4),标签:(1296,3),链接:(9125,3) % matplotlib inline import numpy as np import matplotlib . pyplot as plt import pandas as pd import seaborn as sns movies = pd . read_csv ( 'movies.csv' ) ratings = pd . read_csv ( 'ratings.csv' ) tags = pd . read_csv ( 'tags.csv' ) movies_2 = pd . read_csv ( 'movies_exploded.csv' ) im

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