https://github.com/anas436/car-price-analyzing-dashboard-using-dash-with-python

https://github.com/anas436/car-price-analyzing-dashboard-using-dash-with-python

css3 dash dashboard dashcorecomponents dashhtmlcomponent html5 jupyter-dash pandas plotly plotly-express plotly-graph-objects

Last synced: 12 months ago
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• Host: GitHub
• URL: https://github.com/anas436/car-price-analyzing-dashboard-using-dash-with-python
• Owner: Anas436
• Created: 2022-08-07T17:18:35.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-08-07T17:31:42.000Z (over 3 years ago)
• Last Synced: 2025-02-01T15:30:56.877Z (about 1 year ago)
• Topics: css3, dash, dashboard, dashcorecomponents, dashhtmlcomponent, html5, jupyter-dash, pandas, plotly, plotly-express, plotly-graph-objects
• Language: Jupyter Notebook
• Homepage:
• Size: 18.6 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 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

1. 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:

1. Import required libraries and read the dataset

2. Create an application layout

3. Add title to the dashboard using HTML H1 component

4. Add a dropdown using dcc.dropdown

5. Add the pie chart and bar chart core graph components.

6. Run the app