📊 CSV 分析(行列统计 / 列类型预览)Analyze CSV
分析 CSV/TSV:行数、列数、空行、空单元格,并按列统计非空数、唯一值数和样例。自动识别分隔符,适合导入前快速检查数据质量。Analyse a CSV or TSV: row and column counts, blank lines and empty cells, plus per-column non-empty counts, unique values and samples. The delimiter is detected — handy for a quick data-quality check before import.
使用说明与常见问题How-to & FAQ
「CSV 分析(行列统计 / 列类型预览)」是什么?What is the Analyze CSV tool?
分析 CSV/TSV:行数、列数、空行、空单元格,并按列统计非空数、唯一值数和样例。自动识别分隔符,适合导入前快速检查数据质量。Analyse a CSV or TSV: row and column counts, blank lines and empty cells, plus per-column non-empty counts, unique values and samples. The delimiter is detected — handy for a quick data-quality check before import.
如何使用「CSV 分析(行列统计 / 列类型预览)」?How do I use the Analyze CSV tool?
在「CSV 分析(行列统计 / 列类型预览)」中,把内容粘贴或输入到上方输入框,结果会实时显示在下方,点击「复制结果」即可复制。Paste a CSV or TSV into the box. The report below shows the row and column counts, blank lines, empty cells and a summary of each column, and it updates as you edit; click "Copy result" to copy it.
“唯一”是怎么算的?How is uniqueness counted?
按单元格全文完全相同计数,区分大小写;空单元格不计入唯一值。样例最多列出 5 个不同的值。Exact full-cell match, case-sensitive; empty cells are not counted as unique values. At most 5 distinct sample values are listed.
会修改数据吗?Does it change the data?
不会,只做只读分析,结果是文字报告。No — read-only analysis; the result is a text report.
有哪些选项可以调整?What options can I adjust?
「CSV 分析(行列统计 / 列类型预览)」的设置:可勾选:「第一行是表头」(默认勾选)。改动任一选项后结果会按新设置重新生成。You can adjust the "First row is a header" (on by default) checkbox. The result updates as soon as you change a setting.
代码或数据会被上传吗?Is my code or data uploaded?
不会。「CSV 分析(行列统计 / 列类型预览)」完全用 JavaScript 在本地运行,适合处理含有密钥、内部接口等敏感内容的数据。No. The Analyze CSV tool runs entirely in local JavaScript, so it is safe for data containing keys or internal endpoints.
「CSV 分析(行列统计 / 列类型预览)」免费吗?需要注册吗?Is the Analyze CSV tool free? Do I need an account?
「CSV 分析(行列统计 / 列类型预览)」完全免费,无需注册或安装,打开网页即可使用,手机和电脑都能用;输入的内容只在你的浏览器本地处理。The Analyze CSV tool is completely free with no sign-up or install and works on phones and desktops; what you enter is processed only in your browser.