Children's clothing e-commerce sales data set visualization large-screen full-screen system graduation project application

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Children's clothing e-commerce sales data set visualization large-screen full-screen system graduation project application

I. Introduction

With the booming development of e-commerce, the children's clothing market has also ushered in huge opportunities. However, in the face of huge sales data, how to effectively analyze and utilize it has become an urgent problem for e-commerce companies to solve. Therefore, this graduation project aims to develop a large-screen full-screen system for visualizing children's clothing e-commerce sales data sets to help e-commerce companies intuitively understand sales situations, optimize sales strategies, and enhance market competitiveness.

2. Introduction to data sets

The data set used in this graduation project comes from a children's clothing e-commerce platform and contains sales records in the past year, including product name, category, price, sales volume, sales volume, customer reviews and other information. Data sets are stored in CSV format for easy reading and processing.

3. System architecture and functions

1. Data cleaning and preprocessing: Clean and preprocess the original data, remove outliers and missing values, and format the data into a structure suitable for visualization.
2. Data storage and management: Use a database management system to store the cleaned data for query and analysis.
3. Visual large-screen design: Use large-screen design tools to design a visual large-screen interface, including sales overview, product classification, sales ranking and other modules.
4. Data visualization implementation: Use data visualization libraries (such as ECharts, D3.js, etc.) to visually display data and achieve dynamic updates and interactive operations of sales data.
5. Full-screen display and interaction: Through the full-screen display function, the large visualization screen covers the entire screen to improve the visual effect. At the same time, it supports touch screen operation to facilitate user interaction.
6. Sales strategy optimization suggestions: Provide users with targeted sales strategy optimization suggestions based on sales data analysis results.

4. System design display

1. Login interface: The user enters the user name and password to log in.
2. Sales overview: Real-time display of total sales, total sales volume, customer unit price and other indicators, as well as historical trend charts of each indicator.
3. Product classification: Displays the sales and sales volume proportions of various types of goods, as well as the sales ranking and sales volume ranking of each category of goods.
4. Sales ranking: Update the top 10 sales product names, pictures, prices, sales volume and other information in real time, and display the historical trend chart of sales ranking.
5. Customer evaluation analysis: Displays customers' evaluation of the product, including indicators such as positive review rate, negative review rate, and evaluation keyword cloud chart.
6. Interactive operations: Support users to perform operations through the touch screen, such as zooming charts, switching indicators, filtering products, etc.
7. Sales strategy optimization suggestions: Based on the sales data analysis results, provide users with targeted sales strategy optimization suggestions, such as adjusting prices, promotional activities, promotion channels, etc.
8. Inventory warning: monitor the inventory status of various commodities in real time, and automatically issue early warning information when the inventory level is lower than the safety stock.
9. Member portrait: Analyze members’ purchasing behavior, consumption habits and other information to form member portraits in order to formulate more precise marketing strategies.
   10. Large screen customization: Users can customize the display content and layout of the large screen according to their own needs to achieve personalized display.

5. Realization of effects and advantages

This system visualizes sales data so that users can intuitively understand the sales situation and discover potential market opportunities and risks. At the same time, the system provides interactive operation functions, so users can freely conduct data query and analysis. In addition, the system also provides users with sales strategy optimization suggestions based on sales data analysis results, helping e-commerce companies develop more reasonable sales strategies. Through the application of this system, e-commerce companies can use sales data more efficiently to enhance market competitiveness.

6. Summary and Outlook

In this graduation project, a large-screen full-screen system for visualizing children's clothing e-commerce sales data sets was developed, which realized the visual display and interactive operation of sales data and provided convenient data analysis tools for e-commerce companies. In the future, the system functions can be further optimized, such as adding predictive analysis, intelligent recommendation and other functions to improve the practicality and intelligence level of the system. At the same time, it can be expanded to other e-commerce fields to provide data visualization services to more users.

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The purpose of this graduation project application is to use data visualization technology to display children's clothing e-commerce sales data. The following are design ideas:

1. Data source: It is necessary to obtain the sales data of the children's clothing e-commerce platform. You can use crawler technology to obtain data from the platform, or directly request an interface from the platform to obtain data.

2. Data mining: Preprocessing and cleaning of data, including deduplication, missing value processing, outlier processing, etc.

3. Data visualization: Use data visualization tools, such as Echarts, Highcharts, etc., to display data in the form of charts, such as line charts, bar charts, pie charts, etc.

4. Large-screen system: Integrate charts into a full-screen page and display them using the large-screen system. It can be developed using front-end frameworks such as Vue or React.

5. Function expansion: Some interactive functions can be added, such as clicking on the chart to view more detailed data, or customizing the range of data displayed, etc.

The final effect should be a full-screen system that displays children's clothing e-commerce sales data, allowing the audience to intuitively see sales trends, sales and other data on a large screen, providing a reference for e-commerce platform management and decision-making.