From 53ff6eeb61ddd8b6bfdf358d6c6193b4ae434db2 Mon Sep 17 00:00:00 2001 From: rugk Date: Mon, 21 Oct 2024 23:27:03 +0200 Subject: [PATCH] docs: Fix broken links in Readme (and pypi) On https://pypi.org/project/ydata-profiling/ and on GitHub these links are broken. Important: I could not find a replacement for the "Cloud services" link, which is **also** broken. --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3c0d70051..498ae4318 100644 --- a/README.md +++ b/README.md @@ -237,11 +237,11 @@ To maximize its usefulness in real world contexts, `ydata-profiling` has a set o | Integration type | Description | |---|---| | [Other DataFrame libraries](https://docs.profiling.ydata.ai/latest/integrations/other_dataframe_libraries) | How to compute the profiling of data stored in libraries other than pandas | -| [Great Expectations](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/great_expectations.html) | Generating [Great Expectations](https://greatexpectations.io) expectations suites directly from a profiling report | +| [Great Expectations](https://docs.profiling.ydata.ai/latest/integrations/great_expectations/) | Generating [Great Expectations](https://greatexpectations.io) expectations suites directly from a profiling report | | [Interactive applications](https://docs.profiling.ydata.ai/latest/integrations/interactive_applications) | Embedding profiling reports in [Streamlit](http://streamlit.io), [Dash](http://dash.plotly.com) or [Panel](https://panel.holoviz.org) applications | | [Pipelines](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/pipelines.html) | Integration with DAG workflow execution tools like [Airflow](https://airflow.apache.org) or [Kedro](https://kedro.org) | | [Cloud services](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/cloud_services.html) | Using `ydata-profiling` in hosted computation services like [Lambda](https://lambdalabs.com), [Google Cloud](https://github.com/GoogleCloudPlatform/analytics-componentized-patterns/blob/master/retail/propensity-model/bqml/bqml_kfp_retail_propensity_to_purchase.ipynb) or [Kaggle](https://www.kaggle.com/code) | -| [IDEs](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/ides.html) | Using `ydata-profiling` directly from integrated development environments such as [PyCharm](https://www.jetbrains.com/pycharm/) | +| [IDEs](https://docs.profiling.ydata.ai/latest/integrations/ides/) | Using `ydata-profiling` directly from integrated development environments such as [PyCharm](https://www.jetbrains.com/pycharm/) | ## 🙋 Support Need help? Want to share a perspective? Report a bug? Ideas for collaborations? Reach out via the following channels: