Car-Price-Analyzing-Dashboard-Using-Dash-With-Python

Objectives

After completing the lab you will be able to:

Create a dash board layout
Add a bar chart

Task 3: Practice Exercise

Story:

Here we are looking into an automobile dataset which has various attributes like drive-wheels,body-style and price.

Lets view the snapshot of our selected dataset.

Here let's say we are selecting 3 important features drive-wheels, body-style and Price.

The possible values of drive-wheels are 4 wheel Drive(4wd),Front WheelDrive(fwd) and Rear wheel Drive(rwd).
The different body styles of the cars are hardtop,sedan,convertible and so on.

There are 2 types of people here:

A customer who wants to purchase the cars with less price , different body styles and wants to look for the drive wheel with this arrangement.
A dealer who wants to showcase the prices for the cars with different body styles and drive wheels.
As a data analyst, you have been given a task to visually show the body-style and prices with respect to each drive wheel selected.
So ideally you want to showcase this in the form of 2 interactive charts such as pie chart and bar chart on selection of drive wheel.

Components of the item

Drive Wheel Type

For the chosen Drive wheel,
- Pie Chart showing body style and price.
- Bar Chart showing body style and price.

Below is the key item,

Drive wheels

Requirements to create the expected result

A dropdown menu: For choosing Drive wheel type
The layout will be designed as follows:
An outer division with two inner divisions (as shown in the expected layout)
One of the inner divisions will have information about the dropdown(which is the input) and the other one is for adding graphs(the 2 output graphs).
Callback function to compute data, create graph and return to the layout.

To do:

Import required libraries and read the dataset
Create an application layout
Add title to the dashboard using HTML H1 component
Add a dropdown using dcc.dropdown
Add the pie chart and bar chart core graph components.
Run the app