lead_conversion.py

# creating a copy of data
data2 = data.copy()
data2.dropna(axis=0, inplace=True)
data2['Converted'] = data2['Converted'].replace({1 : 'Yes', 0 : 'No'})

# plotly visual
import plotly.express as px

fig = px.scatter(x=data2['Total Time Spent on Website'], y=data2['Asymmetrique Activity Score'], 
                 color = data2['Converted'], template = 'plotly_white', 
                 facet_col = data2['Lead Origin'], facet_row = data2['Do Not Email'],
                 title = 'Lead Conversion by Total time spent on Website, Activity Score and Lead Origin',
                 labels = {'x' : 'Total Time Spent on Website', 'y' : 'Activity Score'})
                
fig.show()