该项目旨在使用PostgreSQL对必胜客的数据集进行数据分析，为客户偏好、销售趋势和运营效率提供有价值的见解。数据集可以包括销售交易、客户人口统计、菜单项和订单交付详细信息和时间等信息。
This project aims to conduct data analytics on PizzaHut s dataset using PostgreSQL, providing valuable insights into customer preferences, sales trends, and operational efficiency. The dataset could include information such as sales transactions, customer demographics, menu items and order delivery details and times. (2024-05-03, Others, 0KB, 下载0次)
Power BI Revenue Insights for Hospital为收入趋势、预订模式和客户行为提供定制的分析。它为酒店和餐厅提供动态可视化和仪表盘，使经理能够优化定价策略，跟踪入住率，并增强客户体验，提高盈利能力和效率。
Power BI Revenue Insights for hospitality offer tailored analytics for revenue trends, booking patterns, and customer behavior. It provides dynamic visualizations and dashboards for hotels and restaurants, enabling managers to optimize pricing strategies, track occupancy rates, and enhance guest experiences, driving profitability and efficiency. (2024-04-22, Others, 0KB, 下载0次)
2021台灣百年大旱發生時,當時我正在水利署服替代役,因為全台缺水,整個水利署都在為民生和工業調度水資源忙得不可開交。身為一個小小的替代役,業務上能直接協助的事情並不多,我能幫忙比較多忙的部分,就是發揮自己的所學,把水井的Open Data放上Google Map,將資料視覺化,讓資訊檢索更有效率,同時加上了預約取水的介面與功能,希望在旱災時能用自己的一份力量幫助台灣
When the centennial drought in Taiwan occurred in 2021, I was working as a substitute in the Water Resources Department. Because the whole Taiwan was short of water, the entire Water Resources Department was busy allocating water resources for people s livelihood and industry. As a small substitute, there are not many things I can help directly in business. What I can help is to use what I have learned, put the Open Data of the well on Google Map, visualize the data, make information retrieval more efficient, and add the interface and function of scheduled water intake. I hope I can help Taiwan with my own strength in drought (2024-04-10, Vue, 0KB, 下载0次)
訪日外客数テ?ータを使ったPower BIのテ?ータクレンシ?ンク?とテ?ータ可視化の見本レホ?ートファイル,
Visiting Japanese and foreign visitors to Teta to make the power BI site visible ァ イ ル, (2023-06-22, Others, 0KB, 下载0次)
Data_analysis_of_Tokyo_Olympic_Games,本项目旨在利用数据分析挖掘技术,探索并清洗东京奥运会奖牌榜和各奖牌赛程记录 等数据,分析 2020 东京奥运会奖牌分布情况和奖牌变化情况,并且利用 Pyecharts 将分析结 果可视化。
Data_ analysis_ of_ Tokyo_ Olympic_ Games, this project aims to use data analysis and mining technology to explore and clean data such as the Tokyo Olympics medal table and various medal schedule records, analyze the distribution and changes of medals at the 2020 Tokyo Olympics, and use Pyecharts to visualize the analysis results. (2021-12-31, HTML, 10798KB, 下载0次)
Real_Time_DataMining_Software,携程 榛果民宿实时评论挖掘软件,包含数据的实时采集 数据清洗 结构化保存 UGC 数据主题提取 情感分析 后结构化可视化等技术的综合性演示 Demo。基于在线民宿 UGC 数据的意见挖掘项目,包含数据挖掘和 NLP 相关的处理,负责数据...
Real_ Time_ DataMining_ Software, a real-time comment mining software for Ctrip Hazelnut homestays, includes a comprehensive demonstration demo of technologies such as real-time data collection, data cleaning, structured storage, UGC data topic extraction, sentiment analysis, and structured visualization. A opinion mining project based on online homestay UGC data, including data mining and NLP related processing, responsible for data (2021-02-01, Python, 1904KB, 下载0次)
part_1,某客时间-专栏+视频svip会员,某马-Python+大数据年度钻石会员,TS 从入门到深度掌握,晋级TypeScript高手,某马- 基于SaaS的餐掌柜项目实战,Three.js可视化企业实战WEBGL课(新增Cesium+元宇宙)...
part_ 1. A guest time - column+video SVIP member, a horse Python+big data annual diamond member, TS from beginner to deep master, promoted to TypeScript expert, a horse - SaaS based food shopkeeper project actual combat, Three. js visualization enterprise actual combat WEBGL class (new Cesium+Metaverse) (2023-03-20, Others, 1KB, 下载0次)
betterWood---ES6,百达屋是一家为线下商家提供移动服务和营销销售服务的技术公司,专注于利用互联网以及移动互联网技术帮助线下商家提升经营水平,提高盈利能力。目前主打产品为“微酒店”自营销系统。
BetterWood - ES6 is a technology company that provides mobile services and marketing sales services for offline merchants. It focuses on using the Internet and mobile internet technology to help offline merchants improve their business level and profitability. At present, the main product is the "micro hotel" self marketing system. (2017-05-03, JavaScript, 1920KB, 下载0次)
bigbike-android,一个骑行系统,包括硬件、app、web api,这里是app部分,硬件已获得国家专利,因无精力打理,决定开源,欢迎极客拿去实验。ps:请勿用作商业用途
Bigbike-android is a cycling system that includes hardware, apps, and web APIs. This is the app section, and the hardware has obtained national patents. Due to lack of energy to manage it, we have decided to open it up. Geeks are welcome to experiment with it. PS: Do not use for commercial purposes (2016-08-15, Java, 26422KB, 下载0次)
18大数据挖掘的经典算法以及代码实现，涉及到了决策分类，聚类，链接挖掘，关联挖掘，模式挖掘等等方面,后面都是相应算法的博文链接，希望能够帮助大家学。
目前追加了其他的一些经典的DM算法，在others的包中涉及聚类，分类，图算法，搜索算等等，没有具体分类。
The classic algorithm and code implementation of 18 big data mining involve decision classification, clustering, link mining, association mining, pattern mining and so on. The following are blog links of corresponding algorithms, hoping to help you learn.
At present, some other classic DM algorithms are added. In other's package, clustering, classification, graph algorithm, search algorithm and so on are involved. There is no specific classification. (2021-02-24, Java, 219KB, 下载0次)
模式识别中的k近邻算法，经过测试，运行结果很好。
最小距离分类器 : 它将各类训练样本划分成若干子类，并在 每个子类中确定代表点 。测试样本的类别则以其与这些代表点距离最近作决策。该方法的缺点是所选择的代表点并不一定能很好地代表各类，其后果将使错误率增加。
The k nearest neighbor algorithm in pattern recognition has been tested and the result is very good.
Minimum distance classifier: it divides all kinds of training samples into several sub classes and identifies the representative points in each sub class. The categories of test samples are made recently by making decisions with these representatives. The disadvantage of this method is that the selected representative points do not necessarily represent the various types well, and the consequences will increase the error rate. (2018-04-30, C/C++, 4KB, 下载1次)