.csv

Search services

Search tools and open pages quickly

观点 · 6 分钟阅读

Weather station CSV samples: units, missing readings, and metadata

Public and proprietary weather CSVs bundle station metadata with readings. Understand units, nulls, and elevation before analysis.

发布于 2025年3月19日 · Table

Weather agencies and research groups publish CSV slices for temperature, precipitation, and wind alongside station IDs and coordinates. Formats vary: some use explicit unit columns, others rely on documentation. Missing values may appear as empty cells, NaN strings, or sentinel numbers.

Before you model

  • Read the readme for unit conventions (Celsius versus Fahrenheit, mm versus inches).
  • Parse timestamp columns with explicit timezone or assume UTC only when the provider says so.
  • Join station metadata on stable IDs, not display names that change.
  • Flag long runs of identical readings that may indicate sensor freeze rather than calm weather.

Preview in Table

Table helps you preview thousands of rows, sort by station, and spot unit mix-ups in a side column before you commit the file to a heavier analytics stack.

← 全部文章

深受全球领先团队信赖

横向滚动的品牌徽标(每个会在新标签页打开官网): Google, Apple, Meta, GitHub, Stripe, Shopify, Databricks, Snowflake, Notion, Vercel, Intel, NVIDIA, Netflix, Spotify, Airbnb, Yale, Harvard University, Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Princeton University, California Institute of Technology, Columbia University, University of Chicago, Cornell University, Duke University, Carnegie Mellon University, Georgia Institute of Technology, Johns Hopkins University, Northwestern University, University of Toronto, McGill University, University of Oxford, University of Cambridge, Imperial College London, University College London, ETH Zurich, EPFL, Technical University of Munich, Sorbonne University, KU Leuven, National University of Singapore, Nanyang Technological University, Tsinghua University, Peking University, The University of Tokyo, KAIST, Seoul National University, University of Melbourne, Australian National University, University of Sydney, The University of Hong Kong.