https://github.com/enamhasan/analyzing-the-impact-of-recession-on-automobile-sales

Data Analyis and Visualization Dashboard of the Impact of Recession on Automobile Sales
https://github.com/enamhasan/analyzing-the-impact-of-recession-on-automobile-sales

dashboard data-analysis data-science data-visualization pandas plotly plotly-dash python

Last synced: 9 days ago
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Data Analyis and Visualization Dashboard of the Impact of Recession on Automobile Sales

• Host: GitHub
• URL: https://github.com/enamhasan/analyzing-the-impact-of-recession-on-automobile-sales
• Owner: enamhasan
• Created: 2023-10-22T19:26:12.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-22T19:45:40.000Z (over 1 year ago)
• Last Synced: 2024-01-29T19:30:52.866Z (about 1 year ago)
• Topics: dashboard, data-analysis, data-science, data-visualization, pandas, plotly, plotly-dash, python
• Language: Python
• Homepage:
• Size: 276 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Analyzing-the-Impact-of-Recession-on-Automobile-Sales

Analyzing the Impact of Recession on Automobile Sales

Let's say you have been hired by an automobile company as a data scientist. Your first task is to analyze the historical data and give the company directors insights on how the sales were affected during times of recession. You will provide a number of charts/plots to visualize the data and make it easy for the directors to understand your analysis.

# About The Dataset

The dataset includes the following variables:

* Date: The date of the observation.

* Recession: A binary variable indicating recession perion; 1 means it was recession, 0 means it was normal.

* Automobile_Sales: The number of vehicles sold during the period.

* GDP: The per capita GDP value in USD.

* Unemployment_Rate: The monthly unemployment rate.

* Consumer_Confidence: A synthetic index representing consumer confidence, which can impact consumer spending and automobile purchases.

* Seasonality_Weight: The weight representing the seasonality effect on automobile sales during the period.

* Price: The average vehicle price during the period.

* Advertising_Expenditure: The advertising expenditure of the company.

* Vehicle_Type: The type of vehicles sold; Supperminicar, Smallfamiliycar, Mediumfamilycar, Executivecar, Sports.

* Competition: The measure of competition in the market, such as the number of competitors or market share of major manufacturers.

* Month: Month of the observation extracted from Date.

* Year: Year of the observation extracted from Date.

* 

 By examining various factors mentioned above from the dataset, you aim to gain insights into how recessions impact automobile sales for your company.

![dashboard](RecessionReportgraphs.png)