Get startedGet started for free

Combining HTML and Dash

You've been working with an e-commerce company to help visualize their data, and now it's time to level up the presentation.

Your goal is to display the line and bar charts you previously created, line_graph and bar_graph, together in a single Dash dashboard. To make it feel complete, you'll also add a title at the top of the layout.

The line and bar graphs (line_graph and bar_graph) have been recreated for you.

This exercise is part of the course

Building Dashboards with Dash and Plotly

View Course

Exercise instructions

  • Add a title to your Dash app as a .H1() containing the text 'Sales by Country & Over Time'.
  • Add the line_graph and bar_graph figures to the Dash app layout.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

from dash import Dash, dcc, html
import pandas as pd
import plotly.express as px
ecom_sales = pd.read_csv('/usr/local/share/datasets/ecom_sales.csv')
ecom_line = ecom_sales.groupby(['Year-Month','Country'])['OrderValue'].agg('sum').reset_index(name='Total Sales ($)')
ecom_bar = ecom_sales.groupby('Country')['OrderValue'].agg('sum').reset_index(name='Total Sales ($)')
line_graph = px.line(data_frame=ecom_line, x='Year-Month', y='Total Sales ($)', title='Total Sales by Month', color='Country')
bar_graph = px.bar(data_frame=ecom_bar, x='Total Sales ($)', y='Country', orientation='h',title='Total Sales by Country')

app = Dash()

# Set up the layout
app.layout = [
  # Add a H1
  html.____('____'),
  # Add both graphs
  dcc.____(id='line_graph', figure=____),
  dcc.____(id='bar_graph', figure=____)
  ]

if __name__ == '__main__':
    app.run(debug=True)
Edit and Run Code