Fruit Visualization Dashboard with Dash and Plotly

Level: Real-World

Project Brief

For this project, we will create an interactive web application using Dash that visualizes the quantities of different fruits, such as apples, oranges, bananas, grapes, and strawberries. Users will be able to select a specific fruit from a dropdown menu, and the app will display a bar chart showing the amount of that fruit.

You can use the following data:

data = {
    'Fruit': ['Apples', 'Oranges', 'Bananas', 'Grapes', 'Strawberries'],
    'Amount': [4, 1, 2, 5, 3],
}

Expected Output

Here is what the app looks like. In the screenshot below, “Apples”

When the user selects another fruit (e.g., Grapes), the graph updates by representing the amount of the chosen fruit:

Here is a program structure to get you started. For the complete code click on the “Show Code” solution.

import dash
from dash import dcc, html
from dash.dependencies import Input, Output
import pandas as pd
import plotly.express as px

# Sample data
data = {
    'Fruit': ['Apples', 'Oranges', 'Bananas', 'Grapes', 'Strawberries'],
    'Amount': [4, 1, 2, 5, 3],
}

df = pd.DataFrame(data)

# Initialize the Dash app
app = ...

# Define the layout
app.layout = html.Div([
...
...
])

# Define the callback to update the graph
@app.callback(
...
...
)
def update_graph(selected_fruit):
    ...
    ...

# Run the app
if __name__ == '__main__':
    app.run_server(debug=True)

Prerequisites

Required Libraries: dash, plotly, pandas
pip install dash plotly pandas
Required Files: No files are required for this project.
IDE: You can use any IDE on your computer to code the project.

Danger Zone

Here is the code solution and the steps to get the app up and running:

Happy Coding!
Daily Python Projects Team