<script src='https://cdn.jsdelivr.net/npm/danfojs@0.1.1/dist/index.min.js'>
<h1>CSV =>>> Danfo DataFrames</h1>
<p>Table Examples</p><div style='width:630px;' id='div015_1'></div><br/>
<p>Chart Examples</p><div style='width:600px;' id='div015_2'></div>
var url='https://raw.githubusercontent.com/OlgaBelitskaya/'
.concat('machine_learning_engineer_nd009/master/') .concat('Machine_Learning_Engineer_ND_P3/customers.csv'); .then(df=>{df.plot('div015_1').table()}) .catch(err=>{console.log(err);}); .then(df=>{df.plot('div015_2').line( columns:['Fresh','Milk','Grocery','Frozen',
'Detergents_Paper','Delicatessen']})})
.catch(err=>{console.log(err);});fpath='https://sagecell.sagemath.org/kernel/'
fpath+=os.getcwd()[14:]+'/files/task.html'
s1='<div id="data"><iframe src="'
s2='" height="1100" width="650"></iframe></div>'
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