Design and implementation of large-screen full-screen system for visual analysis of fruit sales data using Python

 Blogger Introduction : Teacher Huang Juhua, author of the books "Getting Started with Vue.js and Mall Development" and "WeChat Mini Program Mall Development", CSDN blog expert, online education expert, CSDN Diamond Lecturer; focuses on graduation project education and guidance for college students.
All projects are equipped with basic knowledge video courses from entry to mastering, free of charge
The projects are equipped with corresponding development documents, proposal reports, task books, PPT, and papers. Templates, etc.

The project has recorded release and functional operation demonstration videos; the interface and functions of the project can be customized, and installation and operation are included! ! !
Contact information can be found at the end of the article

Background and Significance

The design and implementation of a large-screen full-screen system for visual analysis of fruit sales data based on Python has the following research background and significance:

Research Background:

1. Competition in the fruit market is becoming increasingly fierce: With the improvement of living standards, consumer demand for fruits continues to increase, and the fruit market shows a continued growth trend. However, how to increase sales and meet the diversified needs of consumers in a highly competitive market is an important issue faced by fruit sellers.
2. Data-driven decision-making needs: During the fruit sales process, a large amount of sales data is accumulated, including sales, sales volume, customer behavior, etc. These data contain rich market information and consumer behavior patterns, which can be used to guide the formulation and optimization of sales strategies.
3. Application of Python in the field of data analysis: Python, as a powerful programming language, has a wide range of applications in the field of data analysis. Its rich data processing and visualization library provides strong support for the visual analysis of fruit sales data.

Significance:

1. Understand consumer purchasing preferences: Through visual analysis of fruit sales data, we can gain a deeper understanding of consumer purchasing preferences, consumption habits and market trends, thereby providing guidance for the formulation and adjustment of sales strategies.
2. Optimize inventory and supply chain management: Through real-time monitoring and predictive analysis of sales data, reasonable inventory plans and supply chain management strategies can be formulated to avoid inventory backlog and waste, reduce inventory costs, and improve capital turnover efficiency.
3. Improve marketing effectiveness: Through visual analysis of consumer behavior data, we can gain an in-depth understanding of consumer needs and preferences, thereby formulating more precise marketing strategies, achieving precision marketing, and improving marketing effectiveness and conversion rates.
4. Discover new market opportunities: Through in-depth mining and analysis of sales data, new market opportunities and potential consumer groups can be discovered, providing support for companies to expand new markets and business areas.
5. Improve operational efficiency and customer satisfaction: Displaying key information such as sales data, inventory status, and supply chain information on a large screen can enhance managers’ intuitive feelings and immersion, improve the accuracy and efficiency of decision-making, and optimize customer experience. Improve customer satisfaction.
6. Strengthen the competitiveness of enterprises: The large-screen visual analysis system based on Python can quickly respond to market changes, optimize sales strategies, reduce costs, and expand new market opportunities, thereby enhancing the competitiveness of enterprises. By displaying the company's sales performance and strength on a large screen, it can also enhance the company's brand image and popularity.
7. Promote the digital transformation of the fruit industry: The large-screen full-screen system for visual analysis of fruit sales data based on Python can be used as an important part of the digital transformation of the fruit industry and promote the digital and intelligent development of the entire industry.
8. Explore new models of fruit sales: Through in-depth mining and analysis of sales data, new models and trends in fruit sales can be discovered, thereby guiding companies to innovate and change to meet the diversified needs of the market.

In summary, the design and implementation of a large-screen full-screen system for visual analysis of fruit sales data based on Python has important research background and significance. The system can not only help companies understand consumer purchasing preferences, optimize inventory and supply chain management, improve marketing effects, discover new market opportunities, improve operational efficiency and customer satisfaction, strengthen corporate competitiveness, but also promote the digital transformation of the fruit industry and explore new models for fruit sales. This will help fruit selling companies stand out in the fierce market competition and achieve sustainable development.

renderings

core code

   #总的数据条数
    cursor_zongshuju = connection.cursor()
    sql_zongshuju = "select count(1) from taobao"
    cursor_zongshuju.execute(sql_zongshuju)
    zongshuju = cursor_zongshuju.fetchone()[0]
    print("总的数据= %s 条" % zongshuju)  #

    #省份数：shengfenshu
    cursor_shengfenshu = connection.cursor()
    sql_shengfenshu = "select count(1) from taobao_sheng"
    cursor_shengfenshu.execute(sql_shengfenshu)
    shengfenshu = cursor_shengfenshu.fetchone()[0]
    print("省份数目= %s 条" % shengfenshu)  #

    #城市数：chengshishu
    cursor_chengshishu = connection.cursor()
    sql_chengshishu = "select count(1) from taobao_chengshi"
    cursor_chengshishu.execute(sql_chengshishu)
    chengshishu = cursor_chengshishu.fetchone()[0]
    print("城市数目= %s 条" % chengshishu)  #