使用python的bokeh库对lending_rate3m和default job进行可视化分析from bokehplotting import figure showoutput_fileimport numpy as npimport pandas as pdimport pandasdf = pdread_csvrUsersfuchuanruoDesktop可视化作业实践traincsv

数据清洗，去除缺失值和异常值

df.dropna(inplace=True) df = df[df['lending_rate3m'] < 30] df = df[df['default: job'] != 'unknown']

p = figure(title='Lending Rate vs Default Job', x_axis_label='Lending Rate 3M', y_axis_label='Default Job')

p.circle(df['lending_rate3m'], df['default: job'], size=5)

output_file('lending_rate_vs_default_job.html')

show(p)

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