篮球CBA球员赛季数据分析发布（CBA球员赛季数据分析出炉）

Planning report options

I’m considering how to offer a publishable report using Jupyter or Quarto. I know the environment lets us run shell commands, but I’m unsure about sandbox mode, so I'll hold off on running anything for now. Instead, I’ll propose some steps in a friendly way.

I’m thinking of options like a quick one-page report for a selected season, an interactive dashboard, modeling player similarity, or visualizations depending on data availability. I'll also ask about the data source, whether it's a CSV or if I should fetch it, based on approvals.Exploring dataset options

I'm thinking about another dataset that includes seasons and teams. I want to clarify the deliverable format, like whether it's Jupyter, HTML, PDF, or a blog post, and remember the report should be in Chinese.

I’ll consider the target audience, whether they’re fans or analysts, and I may need to set an update schedule if the user wants regular releases.

I can propose a template structure for the repo, with a skeleton code waiting for the data path. I’ll ask the user about providing a CSV file or if they want me to fetch it online with necessary approvals.Planning data analysis structure

I need to follow the structure and style guidelines for the final answer—keeping it concise. I’ll use a title: "CBA Player Season Data Analysis Release" and outline some bullet points.

First, I’ll clarify the deliverable, identify data sources and seasons, include metrics coverage, and specify output channels like HTML or Markdown. Then, I’ll propose a default project plan that includes setting up a structure with folders for data, notebooks, and reports.

The associated notebook will generate analysis using Python libraries like pandas, plotly, and seaborn. I’ll outline the types of charts to create and mention that I’ll add a script to export to HTML. Finally, I’ll ask for decisions and confirm if they agree to provide the dataset or permission to fetch it.Clarifying code skeleton options

I’m considering whether to include a minimal code skeleton to show we can start creating the project. Since I'm unsure about the data columns, I’ll keep it generic with expected headers like 'Player, Team, G, MP, PTS, TRB,' and so on. I’m aware that Chinese data may have Chinese headers, so I can add a mapping step later.

I shouldn't add heavy formatting, but including code blocks is fine. While I can't create the notebook just yet, I can provide a code snippet that the user can run. However, I think I should confirm with the user first, as they didn't explicitly ask for coding assistance beyond "发布." Let’s keep everything concise and helpful!Detailing metrics and publishing options

I need to include specific metrics in the report, such as TS% calculated as PTS divided by (2*(FGA + 0.44*FTA)), eFG%, USG%, and AST% TRB% if team totals are available. If pace data is provided, I can consider per-36 or per-100 possessions metrics. I want to avoid the complexity of PER and include RAPM or ON-OFF metrics if lineup data is available.

For publishing, I can offer static HTML via Quarto or Jupyter nbconvert, or create a dashboard using Streamlit. I could also consider exporting a WeChat article and adding Chinese labels while asking for team logos. It's almost time to answer!