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Research on Data Collection and Analysis of Second Hand House in China Based on Python Cover

Research on Data Collection and Analysis of Second Hand House in China Based on Python

By: Hejing Wu and  Ran Cui  
Open Access
|Feb 2022

Figures & Tables

Figure 1.

Basic principles of Scrapy frame
Basic principles of Scrapy frame

Figure 2.

Crawling process
Crawling process

Figure 3.

Full information display
Full information display

Figure 4.

Pie Chart of rent per district
Pie Chart of rent per district

Figure 5.

Pie Chart of rental housing according to the ratio of each direction
Pie Chart of rental housing according to the ratio of each direction

Figure 6.

The broken line chart of the average rent price in Beijing
The broken line chart of the average rent price in Beijing

Figure 7.

The bar chat of Renting in Beijing
The bar chat of Renting in Beijing

Figure 8.

Generating wordcloud presentation
Generating wordcloud presentation

Django Responsibilities sheet

HierarchyResponsibilities
Model and data access layerHandle everything related to the data: how it is accessed, how it is validated, what behaviors are involved, and the relationships between the data.
Template that is the presentation layerHandle presentation-related decisions: how to display in a page or other type of document.
View and business logic layerThe logic associated with accessing the model and fetching the appropriate template. Bridge between model and template
Language: English
Page range: 37 - 47
Published on: Feb 21, 2022
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Hejing Wu, Ran Cui, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.