03 2023 档案

家用热水器用户行为分析与事情识别
摘要：import pandas as pdimport matplotlib.pyplot as pltimport numpy as npdata=pd.read_excel(r"C:\Users\admin\Desktop\original_data.xls")iv_non=pd.value_cou 阅读全文
posted @ 2023-03-20 16:27 zty666 阅读(61) 评论(0) 推荐(0)
商品零售购物篮分析
摘要：# -*- coding: utf-8 -*- # 代码8-1 查看数据特征 import numpy as npimport pandas as pd inputfile =r"C:\Users\admin\Desktop\GoodsOrder.csv" # 输入的数据文件data = pd.re 阅读全文
posted @ 2023-03-15 16:16 zty666 阅读(31) 评论(0) 推荐(0)
航空公司客户价值分析
摘要：#7.1数据探索import matplotlib.pyplot as pltimport pandas as pddatafile=r"C:\Users\admin\Desktop\39984b862fb97f6326368ad28c7b6a4e_a8b8b4ac463b459805927f22a 阅读全文
posted @ 2023-03-08 14:52 zty666 阅读(59) 评论(0) 推荐(0)
财政收入影响因素分析及预测（2014-2016）
摘要：import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport seaborn as snsinputfile = r"C:\Users\asus\Desktop\data.csv"data = pd.read_c 阅读全文
posted @ 2023-03-05 18:37 zty666 阅读(39) 评论(0) 推荐(0)