You can set the table style by introducing the Bootstrap file externally. After the introduction, add the class name of the table style in the Bootstrap file to the html code to add the specific style
Today I will introduce to you how to quickly build table styles through Bootstrap. It has certain reference value and I hope it will be helpful to everyone.
Bootstrap is a front-end framework for rapid development of web applications and websites. Bootstrap is mainly based on HTML, CSS, and JavaScript language documents.
It has the following characteristics:
In CSS, it has global CSS settings, defining basic HTML element styles, extensible classes and other features. At the same time, it also contains more than a dozen reusable components for creating images, drop-down menus, navigation, alert boxes, pop-up boxes, etc. The JavaScript plug-in included in bootstrap contains more than a dozen custom jQuery plug-ins. In the code, we can directly use
Summary: The above is the entire content of this article. I hope that this article can help everyone learn how to quickly create table styles by introducing Bootstrap externally
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Introduce Bootstrap in Eclipse in five steps: Download the Bootstrap file and unzip it. Import the Bootstrap folder into the project. Add Bootstrap dependency. Load Bootstrap CSS and JS in HTML files. Start using Bootstrap to enhance your user interface.
Interpretation steps of Bootstrap mediation effect test in Stata: Check the sign of the coefficient: Determine the positive or negative direction of the mediation effect. Test p value: less than 0.05 indicates that the mediating effect is significant. Check the confidence interval: not containing zero indicates that the mediation effect is significant. Comparing the median p-value: less than 0.05 further supports the significance of the mediation effect.
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Steps to introduce Bootstrap in IntelliJ IDEA: Create a new project and select "Web Application". Add "Bootstrap" Maven dependency. Create an HTML file and add Bootstrap references. Replace with the actual path to the Bootstrap CSS file. Run the HTML file to use Bootstrap styles. Tip: Use a CDN to import Bootstrap or customize HTML file templates.
The Bootstrap test uses resampling technology to evaluate the reliability of the statistical test and is used to prove the significance of the mediation effect: first, calculate the confidence interval of the direct effect, indirect effect and mediation effect; secondly, calculate the significance of the mediation type according to the Baron and Kenny or Sobel method. significance; and finally estimate the confidence interval for the natural indirect effect.
The Bootstrap mediation test evaluates the mediation effect by resampling the data multiple times: Indirect effect confidence interval: indicates the estimated range of the mediation effect. If the interval does not contain zero, the effect is significant. p-value: Evaluates the probability that the confidence interval does not contain zero, with values less than 0.05 indicating significant. Sample size: The number of data samples used for analysis. Bootstrap subsampling times: the number of repeated samplings (500-2000 times). If the confidence interval does not contain zero and the p-value is less than 0.05, the mediation effect is significant, indicating that the mediating variable explains the relationship between the independent and dependent variables.
The main difference between Bootstrap and Spring Boot is: Bootstrap is a lightweight CSS framework for website styling, while Spring Boot is a powerful, out-of-the-box backend framework for Java web application development. Bootstrap is based on CSS and HTML, while Spring Boot is based on Java and the Spring framework. Bootstrap focuses on creating the look and feel of a website, while Spring Boot focuses on back-end functionality. Spring Boot can be integrated with Bootstrap to create fully functional, beautiful
Export the results of the Bootstrap mediation effect test in Stata: Save the results: bootstrap post Create variable list: local vars: coef se ci Export the results (CSV): export delimited results.csv, varlist(`vars') replace comma nolabel
