一、数据收集的方法Data Collection Methods
文献综述Literature Review
本人通过查找相关文献、文章和报告来了解有关年例的内容。主要是通过中国知网查找文献，通过搜狐网查找文章。将提及次数高的言论和本人对家乡年例的了解做出数据的筛选。
I have conducted research on the Nianli by searching for relevant literature, articles, and reports. I primarily used CNKI (China National Knowledge Infrastructure) to find literature and Sohu website to search for articles. Based on the research, I have filtered the data by identifying the most frequently mentioned opinions and combining them with my own understanding of the Nianli in my hometown.
问卷调查法Surveys and Questionnaires
本人通过腾讯文档(https://wj.qq.com/)来发布调查问卷，在收集到的问卷中国72.9%的被调查者来自于电白区。在得出的结果中吗，游神，宴客，祭神和歌舞粤剧是年例中最常见的角色。而抢炮头，飘色等活动只占了8.2，因此对这些少数的活动做了调查，并将结果发布在了“可视化图表”一页中。
I have published a survey questionnaire through Tencent Document (
我的年例调查问卷
My Questionnaire
采访法Interview
本人通过线上采访电白地区的公民，从他们口中了解年例的一些习俗和看法。
I conducted online interviews with citizens from the Dianbai area to understand some of the customs and their views on the Nianli through their own words.
社交媒体Social Media
抖音是比较贴近生活的社交媒体，在抖音上可以获取大量有关于年例的材料。因此本人主要通过社交媒体“抖音”获取数据，以镇为单位搜集每个镇的年例习俗，将年例习俗并且经创作者同意的数据汇集到csv中制成表格的原始材料。
Douyin is a social media platform that is closely related to daily life. It can provide a large amount of materials about the Nianli. Therefore, I mainly collect data through the social media platform "Douyin", gathering the Nianli customs of each town. I have compiled the Nianli customs and the data that have been agreed upon by the creators into a CSV table as the original material.
二、数据组织过程Data Organization Process
分类Categorization
将收集到的资料按照地区、经纬度、时间，习俗等整理成了csv表格。在网页中，我将页面分为八个页面，分别是主页、浏览页、介绍页、地图页、可视化图表页、参考文献页、方法论页、洞察页。
I have organized the collected materials into a CSV table according to location, latitude and longitude, date, and customs. On the website, I have divided the pages into eight sections, namely the Home Page, Browse Page, Introduction Page, Map Page, Visualization Page, References Page, Methodology Page, and Insights Page.
编码Coding
最后，我利用https://collectionbuilder.github.io/进行编码，将制作好的csv表格上传到网站上再进行详细编码得到最终成果。 Finally, I used
文献综述Literature Review
本人通过查找相关文献、文章和报告来了解有关年例的内容。主要是通过中国知网查找文献，通过搜狐网查找文章。将提及次数高的言论和本人对家乡年例的了解做出数据的筛选。
I have conducted research on the Nianli by searching for relevant literature, articles, and reports. I primarily used CNKI (China National Knowledge Infrastructure) to find literature and Sohu website to search for articles. Based on the research, I have filtered the data by identifying the most frequently mentioned opinions and combining them with my own understanding of the Nianli in my hometown.
问卷调查法Surveys and Questionnaires
本人通过腾讯文档(https://wj.qq.com/)来发布调查问卷，在收集到的问卷中国72.9%的被调查者来自于电白区。在得出的结果中吗，游神，宴客，祭神和歌舞粤剧是年例中最常见的角色。而抢炮头，飘色等活动只占了8.2，因此对这些少数的活动做了调查，并将结果发布在了“可视化图表”一页中。
I have published a survey questionnaire through Tencent Document (
我的年例调查问卷
My Questionnaire
采访法Interview
本人通过线上采访电白地区的公民，从他们口中了解年例的一些习俗和看法。
I conducted online interviews with citizens from the Dianbai area to understand some of the customs and their views on the Nianli through their own words.
社交媒体Social Media
抖音是比较贴近生活的社交媒体，在抖音上可以获取大量有关于年例的材料。因此本人主要通过社交媒体“抖音”获取数据，以镇为单位搜集每个镇的年例习俗，将年例习俗并且经创作者同意的数据汇集到csv中制成表格的原始材料。
Douyin is a social media platform that is closely related to daily life. It can provide a large amount of materials about the Nianli. Therefore, I mainly collect data through the social media platform "Douyin", gathering the Nianli customs of each town. I have compiled the Nianli customs and the data that have been agreed upon by the creators into a CSV table as the original material.
二、数据组织过程Data Organization Process
分类Categorization
将收集到的资料按照地区、经纬度、时间，习俗等整理成了csv表格。在网页中，我将页面分为八个页面，分别是主页、浏览页、介绍页、地图页、可视化图表页、参考文献页、方法论页、洞察页。
I have organized the collected materials into a CSV table according to location, latitude and longitude, date, and customs. On the website, I have divided the pages into eight sections, namely the Home Page, Browse Page, Introduction Page, Map Page, Visualization Page, References Page, Methodology Page, and Insights Page.
编码Coding
最后，我利用https://collectionbuilder.github.io/进行编码，将制作好的csv表格上传到网站上再进行详细编码得到最终成果。 Finally, I used