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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -177,6 +177,7 @@ This section covers data quality for tabular data.

- [Pandas Profiling](https://github.com/pandas-profiling/pandas-profiling) - A tool for generating profile reports from pandas DataFrames. (2016)
- [DataProfiler](https://github.com/capitalone/DataProfiler) - A Python library for data profiling and data quality validation. (2021)
- [Spreadsheet Data Quality Audit - Fictional Sample](https://github.com/ja9740913/spreadsheet-data-quality-audit-sample) - A fixed fictional XLSX input with redacted Excel, Markdown, and JSON audit outputs; sample only, not an audit engine. (2026)

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This entry is a static fictional sample rather than an actual tool, library, or general-purpose resource. Awesome lists are typically curated to include functional tools, libraries, frameworks, or comprehensive educational resources. Since this repository only contains static sample outputs and serves as a funnel/promotion for a paid toolkit, it does not fit the criteria for the 'Tools & Projects' section. It is recommended to remove this entry to maintain the quality and focus of the list.


## Time Series Data

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- [Pandas Profiling](https://github.com/pandas-profiling/pandas-profiling) - pandas DataFrameからプロファイルレポートを生成するツール。(2016)
- [DataProfiler](https://github.com/capitalone/DataProfiler) - データプロファイリングとデータ品質検証のためのPythonライブラリ。(2021)
- [Spreadsheet Data Quality Audit - Fictional Sample](https://github.com/ja9740913/spreadsheet-data-quality-audit-sample) - 固定された架空の XLSX 入力と、機密値を除いた Excel、Markdown、JSON 形式の監査出力。サンプルのみで、監査エンジンは含みません。(2026)

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This entry is a static fictional sample rather than an actual tool, library, or general-purpose resource. Awesome lists are typically curated to include functional tools, libraries, frameworks, or comprehensive educational resources. Since this repository only contains static sample outputs and serves as a funnel/promotion for a paid toolkit, it does not fit the criteria for the 'Tools & Projects' section. It is recommended to remove this entry to maintain the quality and focus of the list.


## 時系列データ

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1 change: 1 addition & 0 deletions README_zh.md
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- [Pandas Profiling](https://github.com/pandas-profiling/pandas-profiling) - 从pandas DataFrame生成概要报告的工具。(2016)
- [DataProfiler](https://github.com/capitalone/DataProfiler) - 用于数据分析和数据质量验证的Python库。(2021)
- [Spreadsheet Data Quality Audit - Fictional Sample](https://github.com/ja9740913/spreadsheet-data-quality-audit-sample) - 一个固定的虚构 XLSX 输入,附有脱敏的 Excel、Markdown 和 JSON 审计输出;仅为样本,不含审计引擎。(2026)

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medium

This entry is a static fictional sample rather than an actual tool, library, or general-purpose resource. Awesome lists are typically curated to include functional tools, libraries, frameworks, or comprehensive educational resources. Since this repository only contains static sample outputs and serves as a funnel/promotion for a paid toolkit, it does not fit the criteria for the 'Tools & Projects' section. It is recommended to remove this entry to maintain the quality and focus of the list.


## 时间序列数据

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