Baselight

Laptop Sales By Amazon

Analyze the laptop sales using Power-BI

@kaggle.kamali2727_laptop_sales_by_amazon

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About this Dataset

Laptop Sales By Amazon

Power BI is a business intelligence tool, especially for data visualization
I made the Amazon sales dashboard using Power BI.
The project is Amazon sales dashboard based on analysis the data using Amazon sales with interactive dashboard.
Introduction
A Amazon Laptop sales dashboard offers a comprehensive view of the laptop sales performance across the amazon platform
It is great way to connect with a data analyst, a Power BI developer, or a Power BI architect to learn the slicers, performance analysis, analyzing market trends, Customer ratings, pricing trends and user interaction easily
This project involved building designed dashboards.
In project we can analysis current sales, trends, stock analysis and other requirements
This tool provide the clarity needed for smart, Data-driven decisions

Overview of Dashboard
The Amazon Laptop sales Dashboard is an interactive Power BI dashboard that visualizes key metrics related to laptop sales on the amazon platform
It is designed to help user understand sales performance and make informed decision with real-time data
Dashboard Highlights
Sales performance: Unit sold, average selling price
Top brands & Models: Identify the most popular laptop brands
Customer insights: Analyze average ratings, customer satisfaction
Price distribution: How laptop are performing across the India
Benefits of Dashboard
list of benefits of the Amazon Laptop Sales Dashboard

  1. Data-Driven Decision Making
    Get clear, visual insights into sales performance, customer behavior, and product trends to make smarter business decisions.
  2. Real-Time Performance Tracking
    Monitor sales, revenue, and customer feedback in real time, enabling quick responses to market shifts.
  3. Identify Best-Selling Products
    Easily spot top-performing laptop brands and models to focus marketing and inventory efforts.
  4. Understand Customer Preferences
    Analyze customer ratings and reviews to improve
  5. Optimize Pricing Strategy
    Use price segmentation insights to align pricing with customer demand and maximize profitability.
  6. User-Friendly & Interactive
    Interactive filters and visuals make it easy to explore the data from different angles—no technical skills required.
  7. Improved Inventory Management
    Anticipate high-demand products and plan stock levels more accurately, reducing overstock and stockouts.
    Technologies used
  8. Microsoft Power BI
    Used to design interactive dashboards and visualizations.
  9. Supports dynamic filtering, slicers, drill-downs, and responsive visuals.
    . Power Query (M Language)
    For data cleaning, transformation, and loading from various sources.
    Helps shape raw data into an analysis-ready format.
    . Excel / CSV Data Source (or optional SQL Database)
    Sales data was imported from structured sources like Excel or CSV files
    3 Amazon Product Dataset
    . Data includes product name, brand, price, ratings, reviews, and sales figures.
    Technologies used: Excel, Power BI, and other Power Query editors

Tables

Amazon Laptop Prices V01–1

@kaggle.kamali2727_laptop_sales_by_amazon.amazon_laptop_prices_v01_1
  • 131.33 kB
  • 4,446 rows
  • 17 columns
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CREATE TABLE amazon_laptop_prices_v01_1 (
  "brand" VARCHAR,
  "model" VARCHAR,
  "screen_size" VARCHAR,
  "color" VARCHAR,
  "harddisk" VARCHAR,
  "cpu" VARCHAR,
  "ram" VARCHAR,
  "os" VARCHAR,
  "special_features" VARCHAR,
  "graphics" VARCHAR,
  "graphics_coprocessor" VARCHAR,
  "cpu_speed" VARCHAR,
  "rating" DOUBLE,
  "price" VARCHAR,
  "sale_product_count" BIGINT,
  "total_sales" VARCHAR,
  "available_stock" DOUBLE
);

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