Bivariate visualizations

Introduction to Data Visualization with Plotly in Python

Alex Scriven

Data Scientist

What are bivariate visualizations?

scatterplot

import plotly.express as px

fig = px.scatter(
        data_frame=penguins, 
        x="Body Mass (g)", 
        y="Flipper Length (mm)")
fig.show()

Penguin Scatter

Useful plotly.express scatterplot arguments:

Check the documentation for more

fig = px.line(
  data_frame=msft_stock,  
  x="Date", 
  y="Open", 
  title="MSFT Stock Price (5Y)")
fig.show()

Simple line chart of stock prices

The Pearson Correlation Coefficient:

df contains data on bike rental numbers and weather conditions

cr = df.corr(method="pearson")
print(cr)

Correlation table

fig = px.imshow(

        cr,

        text_auto=True,

        color_continuous_scale="RdYlGn", 
        zmin=-1, zmax=1)


fig.show()

Heatmap example

Introduction to Data Visualization with Plotly in Python