数据科学的热情学生。使用Python和网络抓取技术独立分析特斯拉（Tesla）和亚马逊（Amazon）等顶级股票的财务数据。为KPI可视化创建了交互式Plotly仪表板，展示了数据科学家的潜力。
Passionate student of Data Science. Independently analyzed financial data using Python and web scraping for top stocks like Tesla and Amazon. Created interactive Plotly dashboard for KPI visualization, showcasing Data Scientist potential. (2024-05-16, Others, 0KB, 下载0次)
这是印度理工学院马德拉斯分校开设的CS5830:Big Data Laboratory课程中的一个课程项目。这涉及创建一个管道，从NCEI网站提取气候数据，并找到全球不同参数的月平均值，并创建图表来可视化该数据。
This is a course project from the course CS5830: Big Data Laboratory offered at IIT Madras. This deals with creating a pipeline to extract the Climate Data from NCEI website and find the monthly averages of different parameters across the globe and create plots to visualize this data. (2024-03-30, Python, 0KB, 下载0次)
本项目旨在使用MySQL分析和了解就业市场的动态。它侧重于剖析各种方面，如工作类型、工资范围和公司简介。数据集被组织为多个表，每个表表示就业市场的不同维度。
This project aims to analyze and understand the dynamics of the job market using MySQL. It focuses on dissecting various aspects such as job types, salary ranges, and company profiles. The dataset is organized into multiple tables, each representing a different dimension of the job market. (2024-02-24, Others, 0KB, 下载0次)
该项目名为“股票数据分析和可视化仪表板”，涉及使用Python和web抓取来提取特斯拉、亚马逊、AMD和GameStop的财务数据。该数据包括历史股价和季度收入报告，这些数据在仪表板中可视化，以确定趋势并有效地通知投资战略。
The project, titled "Stock Data Analysis and Visualization Dashboard," involves extracting financial data for Tesla, Amazon, AMD, and GameStop using Python and web scraping. This data includes historical share prices and quarterly revenue reports, which are visualized in a dashboard to identify trends and inform investment strategies effectively. (2024-02-15, HTML, 0KB, 下载0次)
该存储库通过综合EDA展示了对阿尔伯塔省卡尔加里市住房数据的分析。深入Jupyter笔记本，探索见解、可视化和关键发现。获得对数据的更深入理解，揭示模式，并提取有价值的见解。
This repository showcases the analysis of housing data of Calgary in Alberta through comprehensive EDA. Dive into Jupyter Notebooks to explore insights, visualizations, and key findings. Gain a deeper understanding of the data, uncover patterns, and extract valuable insights. (2024-02-15, Others, 0KB, 下载0次)
一个使用《福布斯》顶级公司列表的项目，将多个数据集集成为旨在战略决策的仪表板。它将数据标准化和可视化，以揭示趋势和见解，帮助业务分析师、投资者和决策者了解全球企业格局。
A project using Forbes top companies list, integrating multiple datasets for a dashboard aimed at strategic decision-making. It standardizes and visualizes data to reveal trends and insights, aiding business analysts, investors, and policymakers in understanding the global corporate landscape. (2024-01-06, Others, 0KB, 下载0次)
对于这个项目，我必须确定一个需要使用位置数据和邻域聚类的业务问题。我选择了英国的曼彻斯特，并分析了那里是最好的社区来开业。
For this project, I had to identify a business problem that requires the use of location data and neighborhood clustering. I chose Manchester, UK and did analysis for where it would be the best neighborhood to open a business. (2024-01-02, Jupyter Notebook, 0KB, 下载0次)
在jupyter笔记本中托管的图形可视化，显示美国19例确诊的冠状病毒病例总数、重要里程碑的跨度及其对同一日期跨度内道琼斯股价的影响。
A graphic visualization hosted in a jupyter notebook of the total confirmed cases of COVID19 in the United States, a span of important milestones, and their effects upon the DowJones stock prices within the same date span. (2023-12-27, HTML, 0KB, 下载0次)
以周为单位的交互式可视化生活。灵感来自蒂姆·厄本（Tim Urban）的《你的周生活》（Your Life in Weeks）（等等，但为什么）和巴斯特·本森（Buster Benson）的《周生活》。
An interactive visualization of your life in weeks. Inspired by Tim Urban s Your Life in Weeks (Wait But Why) and Buster Benson s Life in Weeks. (2023-12-25, TypeScript, 0KB, 下载0次)
已成功从加拿大统计局的Python格式导入由1048548行和18列组成的联邦就业状态Excel数据集。将Plotly和Pandas的可视化整合到Dash Web App（数据分析仪表板）中，使用户能够与数据交互。
Successfully imported Federal Employment Status Excel dataset comprising 1,048,548 rows and 18 columns from Statistics Canada format in Python. Incorporated visualizations of Plotly and Pandas into Dash Web App (data analytics dashboard) empowering users to interact with data. (2023-12-19, Python, 0KB, 下载0次)
该项目分析了奥斯汀市840万辆共享滑板车的开放数据，并比较了该市的311个综合设施...
Project analyzing the City of Austin s Open Data for 8.4M shared scooter rides and also compare the city s 311 complaints about the same. Find insights about the popular spots for scooter rides and the correlation if these areas also have more scooter complaints and more | Python Project 1 | UT Data Analysis and Visualization Nov 2019 - May 2020 (2020-09-22, Jupyter Notebook, 51853KB, 下载0次)
罗斯基勒大学计算机科学学科模块。作为15ETCS课程的一部分，我们应用了Differen...
Computer Science subject module at Roskilde University. Was made as part of a 15ETCS course where we applied Different Pathfinding strategies to solve shortest path problem. Contains Dijkstra and A* implemented in Java with a JavaFX User Interface to demonstrate shortest path visualization. Note: this project is not maintained (2022-11-29, Java, 528KB, 下载0次)
这是作为约翰·霍普金斯大学数据可视化和仪表板的一部分完成的资源库...
This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization. (2022-02-11, HTML, 5270KB, 下载0次)
琼斯修女（Mother Jones）提供的美国大规模枪击数据分析（1982年至2019年）。在RStudio中使用R进行分析，结果...
An analysis of US mass shootings data (1982 to 2019) provided by Mother Jones. Analysis done using R in RStudio, results published to HTML using RMarkdown, and styled using CSS. (2019-07-14, HTML, 3890KB, 下载0次)