From b0820eb474c935e7bb14215908057573017fa746 Mon Sep 17 00:00:00 2001 From: k3agan Date: Fri, 17 Mar 2023 18:28:04 -0700 Subject: [PATCH] Cleanup styling "docs: Updated 179 broken links" --- CONTRIBUTING.md | 56 ++++----- README.md | 109 +++++++++--------- docsrc/source/pages/reference/changelog.rst | 6 +- .../pages/reference/changelog/v3_5_0.md | 24 ++-- .../pages/reference/changelog/v3_5_1.md | 3 +- .../pages/reference/changelog/v3_6_0.md | 52 +++++---- .../pages/reference/changelog/v3_6_1.md | 5 +- .../pages/reference/changelog/v3_6_2.md | 9 +- .../pages/reference/changelog/v3_6_3.md | 5 +- 9 files changed, 138 insertions(+), 131 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index c66025387..2fcc35c64 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,45 +1,45 @@ ## How to contribute to Pandas-Profiling -Pandas-profiling aims to ease exploratory data analysis for structured datasets, including time-series. +Pandas-profiling aims to ease exploratory data analysis for structured datasets, including time-series. Our focus is to provide users with useful and robust statistics for such datasets encountered in industry, academia and elsewhere. Pandas-profiling is open-source and stimulates contributions from passionate community users. -#### Themes to contribute +#### Themes to contribute In line with our aim, we identify the following themes: -- **Exploratory data analysis**: +- **Exploratory data analysis**: The core of the package is a dataset summarization by its main characteristics, which is complemented with warnings on data issues and visualisations. - _Suggestions for contribution_: + _Suggestions for contribution_: Extend the support of more data types (think of paths, location or GPS coordinates and ordinal data types), - text data (e.g. encoding, vocabulary size, spelling errors, language detection), - time series analysis, + text data (e.g. encoding, vocabulary size, spelling errors, language detection), + time series analysis, or even images (e.g. dimensions, EXIF). - + _Related_: [#7][i7], [#129][i129], [#190][i190], [#204][i204] or [create one](https://github.com/ydataai/ydata-profiling/issues/new/choose). -- **Stability, Performance and Restricted environment compatibility:** +- **Stability, Performance and Restricted environment compatibility:** Data exploration takes place in all kinds of conditions, on the latest machine learning platforms with enormous dataset to managed environments in large corporations. `pandas-profiling` helps analysts, researchers and engineers alike in these cases. We do this by fixing bugs, improving performance on big datasets and adding environment compatibility. - - _Suggestions for contribution (Performance)_: - Perform concurrency analysis or profile execution times and leverage the gained insights for improved performance (e.g. multiprocessing, cython, numba) or test the performance of `pandas-profiling` with [big data sets](https://www.stats.govt.nz/large-datasets/csv-files-for-download/) and corresponding commonly used data formats (such as parquet). - - _Suggestions for contribution (Stability)_: + + _Suggestions for contribution (Performance)_: + Perform concurrency analysis or profile execution times and leverage the gained insights for improved performance (e.g. multiprocessing, cython, numba) or test the performance of `pandas-profiling` with [big data sets](https://www.stats.govt.nz/large-datasets/csv-files-for-download/) and corresponding commonly used data formats (such as parquet). + + _Suggestions for contribution (Stability)_: Either review the code and add tests or watch the [issues page](https://github.com/ydataai/ydata-profiling/issues) and [Stackoverflow tag](https://stackoverflow.com/questions/tagged/pandas-profiling) to find current issues. - + _Related_: [#98][i98], [#122][i122] or [create one](https://github.com/ydataai/ydata-profiling/issues/new/choose). -- **Interaction, presentation and user experience**: +- **Interaction, presentation and user experience**: As `pandas-profiling` eases exploratory data analysis, working with the package should reflect that. Interaction and user experience plays a central role in working with the package. Working on interactive and static features is possible through the modular nature of the package: the user can configure which features to use. _Suggestions for contribution (interactivity)_: - Interactivity allows for more user friendly applications, including but not limited to on demand analysis (don't compute what you don't want to see) and interactive histograms and correlations. - This is ideal for smaller datasets, where we can compute this on-the-fly. + Interactivity allows for more user friendly applications, including but not limited to on demand analysis (don't compute what you don't want to see) and interactive histograms and correlations. + This is ideal for smaller datasets, where we can compute this on-the-fly. `ipywidgets` would be a great place to start (e.g. [widget based view](https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html)). _Suggestions for contribution (presentation)_: @@ -48,17 +48,17 @@ In line with our aim, we identify the following themes: _Related_: [#161][i161], [#175][i175], [#191][i191] or [create one](https://github.com/ydataai/ydata-profiling/issues/new/choose). -- **Community**: +- **Community**: The success of this package demonstrates the power of sharing and working together. You are welcome as part of this community. - + _Suggestions for contribution_: Share with us if this package is of value to you, let us know [in our community](https://discord.com/invite/mw7xjJ7b7s). We are interested in how you use `pandas-profiling` in your work. - + _Related_: [#87][i87] or [create one](https://github.com/ydataai/ydata-profiling/issues/new/choose). -- **Machine learning:** +- **Machine learning:** `pandas-profiling` is not a machine learning package, even though many of our users use EDA as a step prior to developing their models. Our focus lies in the exploratory data analysis. Any functionality that enables machine learning applications by more effective data profiling, is welcome. @@ -67,17 +67,18 @@ In line with our aim, we identify the following themes: #### **Did you find a bug?** -- **Ensure the bug was not already reported** by searching on Github under [Issues](https://github.com/ydataai/ydata-profiling/issues). +* **Ensure the bug was not already reported** by searching on Github under [Issues](https://github.com/ydataai/ydata-profiling/issues). -- If you're unable to find an open issue addressing the problem, [open a new one](https://github.com/ydataai/ydata-profiling/issues/new/choose). - If possible, use the relevant bug report templates to create the issue. +* If you're unable to find an open issue addressing the problem, [open a new one](https://github.com/ydataai/ydata-profiling/issues/new/choose). +If possible, use the relevant bug report templates to create the issue. #### **Did you write a patch that fixes a bug?** -- Open a new Github pull request with the patch. +* Open a new Github pull request with the patch. + +* Ensure the PR description clearly describes the problem and solution. +Include the relevant issue number if applicable. -- Ensure the PR description clearly describes the problem and solution. - Include the relevant issue number if applicable. #### Acknowledgements @@ -98,3 +99,4 @@ See the [Contributor Graph](https://github.com/ydataai/ydata-profiling/graphs/co [i161]: https://github.com/ydataai/ydata-profiling/issues/161 [i175]: https://github.com/ydataai/ydata-profiling/issues/175 [i191]: https://github.com/ydataai/ydata-profiling/issues/191 + diff --git a/README.md b/README.md index 03a2c3b9e..61203f7f8 100644 --- a/README.md +++ b/README.md @@ -27,21 +27,21 @@ `ydata-profiling` primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas `df.describe()` function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as **html** and **json**. -The package outputs a simple and digested analysis of a dataset, including **time-series** and **text**. +The package outputs a simple and digested analysis of a dataset, including **time-series** and **text**. -### 🎊 New year, new face, more functionalities! +### 🎊 New year, new face, more functionalities! -Thank you for using and following `pandas-profiling` developments. Yet, we have a new exciting feature - we are now thrilled to announce +Thank you for using and following ``pandas-profiling`` developments. Yet, we have a new exciting feature - we are now thrilled to announce that Spark is now part of the Data Profiling family from version 4.0.0 onwards - -With its introduction, there was also the need for a new naming, one that will allow to decouple the concept of profiling from the Pandas Dataframes - `ydata-profiling`! - + +With its introduction, there was also the need for a new naming, one that will allow to decouple the concept of profiling from the Pandas Dataframes - `ydata-profiling`! + But fear not, `pip install pandas-profiling` will still be a valid for a while, and we will keep investing in growing the best open-source for data profiling, so you can use it for even more use cases. ## Key features -- **Type inference**: automatic detection of columns' data types (_Categorical_, _Numerical_, _Date_, etc.) -- **Warnings**: A summary of the problems/challenges in the data that you might need to work on (_missing data_, _inaccuracies_, _skewness_, etc.) +- **Type inference**: automatic detection of columns' data types (*Categorical*, *Numerical*, *Date*, etc.) +- **Warnings**: A summary of the problems/challenges in the data that you might need to work on (*missing data*, *inaccuracies*, *skewness*, etc.) - **Univariate analysis**: including descriptive statistics (mean, median, mode, etc) and informative visualizations such as distribution histograms - **Multivariate analysis**: including correlations, a detailed analysis of missing data, duplicate rows, and visual support for variables pairwise interaction - **Time-Series**: including different statistical information relative to time dependent data such as auto-correlation and seasonality, along ACF and PACF plots. @@ -58,7 +58,7 @@ The report contains three additional sections: ### 🎁 Latest features -- Want to scale? Check the latest release with ⭐⚑[Spark support](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/pypspark.html)! +- Want to scale? Check the latest release with ⭐⚑[Spark support](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/pypspark.html)! - Looking for how you can do an EDA for Time-Series πŸ•› ? Check [this blogpost](https://towardsdatascience.com/how-to-do-an-eda-for-time-series-cbb92b3b1913). - You want to compare 2 datasets and get a report? Check [this blogpost](https://medium.com/towards-artificial-intelligence/how-to-compare-2-dataset-with-pandas-profiling-2ae3a9d7695e) @@ -68,17 +68,16 @@ Spark support has been released, but we are always looking for an extra pair of [Check current work in progress!](https://github.com/ydataai/ydata-profiling/projects/3). ## πŸ“ Use cases - YData-profiling can be used to deliver a variety of different use-case. The documentation includes guides, tips and tricks for tackling them: -| Use case | Description | -| --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------- | -| [Comparing datasets](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/comparing_datasets.html) | Comparing multiple version of the same dataset | -| [Profiling a Time-Series dataset](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/time_series_datasets.html) | Generating a report for a time-series dataset with a single line of code | -| [Profiling large datasets](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/big_data.html) | Tips on how to prepare data and configure `ydata-profiling` for working with large datasets | -| [Handling sensitive data](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/sensitive_data.html) | Generating reports which are mindful about sensitive data in the input dataset | -| [Dataset metadata and data dictionaries](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/metadata.html) | Complementing the report with dataset details and column-specific data dictionaries | -| [Customizing the report's appearance](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/custom_report_appearance.html) | Changing the appearance of the report's page and of the contained visualizations | +| Use case | Description | +|----------|---------------------------------------------------------------------------------------------| +| [Comparing datasets](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/comparing_datasets.html ) | Comparing multiple version of the same dataset | +| [Profiling a Time-Series dataset](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/time_series_datasets.html) | Generating a report for a time-series dataset with a single line of code | +|[Profiling large datasets](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/big_data.html ) | Tips on how to prepare data and configure `ydata-profiling` for working with large datasets | +| [Handling sensitive data](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/sensitive_data.html ) | Generating reports which are mindful about sensitive data in the input dataset | +| [Dataset metadata and data dictionaries](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/metadata.html) | Complementing the report with dataset details and column-specific data dictionaries | +| [Customizing the report's appearance](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/custom_report_appearance.html ) | Changing the appearance of the report's page and of the contained visualizations | ## ▢️ Quickstart @@ -150,27 +149,25 @@ Additional details on the CLI are available [on the documentation](https://ydata The following example reports showcase the potentialities of the package across a wide range of dataset and data types: -- [Census Income](https://ydata-profiling.ydata.ai/examples/master/census/census_report.html) (US Adult Census data relating income with other demographic properties) -- [NASA Meteorites](https://ydata-profiling.ydata.ai/examples/master/meteorites/meteorites_report.html) (comprehensive set of meteorite landing - object properties and locations) [![Open In Colab](https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/ydataai/pandas-profiling/blob/master/examples/meteorites/meteorites_cloud.ipynb) [![Binder](https://camo.githubusercontent.com/483bae47a175c24dfbfc57390edd8b6982ac5fb3/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/ydataai/pandas-profiling/master?filepath=examples%2Fmeteorites%2Fmeteorites%5Fcloud.ipynb) -- [Titanic](https://ydata-profiling.ydata.ai/examples/master/titanic/titanic_report.html) (the "Wonderwall" of datasets) [![Open In Colab](https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/ydataai/pandas-profiling/blob/master/examples/titanic/titanic_cloud.ipynb) [![Binder](https://camo.githubusercontent.com/483bae47a175c24dfbfc57390edd8b6982ac5fb3/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/ydataai/pandas-profiling/master?filepath=examples%2Ftitanic%2Ftitanic%5Fcloud.ipynb) -- [NZA](https://ydata-profiling.ydata.ai/examples/master/nza/nza_report.html) (open data from the Dutch Healthcare Authority) -- [Stata Auto](https://ydata-profiling.ydata.ai/examples/master/stata_auto/stata_auto_report.html) (1978 Automobile data) -- [Colors](https://ydata-profiling.ydata.ai/examples/master/colors/colors_report.html) (a simple colors dataset) -- [Vektis](https://ydata-profiling.ydata.ai/examples/master/vektis/vektis_report.html) (Vektis Dutch Healthcare data) -- [UCI Bank Dataset](https://ydata-profiling.ydata.ai/examples/master/bank_marketing_data/uci_bank_marketing_report.html) (marketing dataset from a bank) -- [Russian Vocabulary](https://ydata-profiling.ydata.ai/examples/master/features/russian_vocabulary.html) (100 most common Russian words, showcasing unicode text analysis) -- [Website Inaccessibility](https://ydata-profiling.ydata.ai/examples/master/features/website_inaccessibility_report.html) (website accessibility analysis, showcasing support for URL data) -- [Orange prices](https://ydata-profiling.ydata.ai/examples/master/features/united_report.html) and -- [Coal prices](https://ydata-profiling.ydata.ai/examples/master/features/flatly_report.html) (simple pricing evolution datasets, showcasing the theming options) -- [USA Air Quality](https://github.com/ydataai/ydata-profiling/tree/master/examples/usaairquality) (Time-series air quality dataset EDA example) -- [HCC](https://github.com/ydataai/ydata-profiling/tree/master/examples/hcc) (Open dataset from healthcare, showcasing compare between two sets of data, before and after preprocessing) +* [Census Income](https://ydata-profiling.ydata.ai/examples/master/census/census_report.html) (US Adult Census data relating income with other demographic properties) +* [NASA Meteorites](https://ydata-profiling.ydata.ai/examples/master/meteorites/meteorites_report.html) (comprehensive set of meteorite landing - object properties and locations) [![Open In Colab](https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/ydataai/pandas-profiling/blob/master/examples/meteorites/meteorites_cloud.ipynb) [![Binder](https://camo.githubusercontent.com/483bae47a175c24dfbfc57390edd8b6982ac5fb3/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/ydataai/pandas-profiling/master?filepath=examples%2Fmeteorites%2Fmeteorites%5Fcloud.ipynb) +* [Titanic](https://ydata-profiling.ydata.ai/examples/master/titanic/titanic_report.html) (the "Wonderwall" of datasets) [![Open In Colab](https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/ydataai/pandas-profiling/blob/master/examples/titanic/titanic_cloud.ipynb) [![Binder](https://camo.githubusercontent.com/483bae47a175c24dfbfc57390edd8b6982ac5fb3/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/ydataai/pandas-profiling/master?filepath=examples%2Ftitanic%2Ftitanic%5Fcloud.ipynb) +* [NZA](https://ydata-profiling.ydata.ai/examples/master/nza/nza_report.html) (open data from the Dutch Healthcare Authority) +* [Stata Auto](https://ydata-profiling.ydata.ai/examples/master/stata_auto/stata_auto_report.html) (1978 Automobile data) +* [Colors](https://ydata-profiling.ydata.ai/examples/master/colors/colors_report.html) (a simple colors dataset) +* [Vektis](https://ydata-profiling.ydata.ai/examples/master/vektis/vektis_report.html) (Vektis Dutch Healthcare data) +* [UCI Bank Dataset](https://ydata-profiling.ydata.ai/examples/master/bank_marketing_data/uci_bank_marketing_report.html) (marketing dataset from a bank) +* [Russian Vocabulary](https://ydata-profiling.ydata.ai/examples/master/features/russian_vocabulary.html) (100 most common Russian words, showcasing unicode text analysis) +* [Website Inaccessibility](https://ydata-profiling.ydata.ai/examples/master/features/website_inaccessibility_report.html) (website accessibility analysis, showcasing support for URL data) +* [Orange prices](https://ydata-profiling.ydata.ai/examples/master/features/united_report.html) and +* [Coal prices](https://ydata-profiling.ydata.ai/examples/master/features/flatly_report.html) (simple pricing evolution datasets, showcasing the theming options) +* [USA Air Quality](https://github.com/ydataai/ydata-profiling/tree/master/examples/usaairquality) (Time-series air quality dataset EDA example) +* [HCC](https://github.com/ydataai/ydata-profiling/tree/master/examples/hcc) (Open dataset from healthcare, showcasing compare between two sets of data, before and after preprocessing) ## πŸ› οΈ Installation - Additional details, including information about widget support, are available [on the documentation](https://ydata-profiling.ydata.ai/docs/master/pages/getting_started/installation.html). ### Using pip - [![PyPi Downloads](https://pepy.tech/badge/ydata-profiling)](https://pepy.tech/project/ydata-profiling) [![PyPi Monthly Downloads](https://pepy.tech/badge/pandas-profiling/month)](https://pepy.tech/project/ydata-profiling/month) [![PyPi Version](https://badge.fury.io/py/ydata-profiling.svg)](https://pypi.org/project/ydata-profiling/) @@ -185,9 +182,9 @@ pip install -U ydata-profiling The package declares "extras", sets of additional dependencies. -- `[notebook]`: support for rendering the report in Jupyter notebook widgets. -- `[unicode]`: support for more detailed Unicode analysis, at the expense of additional disk space. -- `[pyspark]`: support for pyspark for big dataset analysis +* `[notebook]`: support for rendering the report in Jupyter notebook widgets. +* `[unicode]`: support for more detailed Unicode analysis, at the expense of additional disk space. +* `[pyspark]`: support for pyspark for big dataset analysis Install these with e.g. @@ -195,10 +192,11 @@ Install these with e.g. pip install -U ydata-profiling[notebook,unicode,pyspark] ``` -### Using conda +### Using conda [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas-profiling.svg)](https://anaconda.org/conda-forge/pandas-profiling) -[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pandas-profiling.svg)](https://anaconda.org/conda-forge/pandas-profiling) +[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pandas-profiling.svg)](https://anaconda.org/conda-forge/pandas-profiling) + You can install using the `conda` package manager by running: @@ -216,32 +214,31 @@ Install it by navigating to the proper directory and running: pip install -e . ``` -The profiling report is written in HTML and CSS, which means a modern browser is required. +The profiling report is written in HTML and CSS, which means a modern browser is required. You need [Python 3](https://python3statement.org/) to run the package. Other dependencies can be found in the requirements files: -| Filename | Requirements | -| ----------------------------------------------------------------------------------------------------- | ----------------------------- | -| [requirements.txt](https://github.com/ydataai/ydata-profiling/blob/master/requirements.txt) | Package requirements | -| [requirements-dev.txt](https://github.com/ydataai/ydata-profiling/blob/master/requirements-dev.txt) | Requirements for development | -| [requirements-test.txt](https://github.com/ydataai/ydata-profiling/blob/master/requirements-test.txt) | Requirements for testing | -| [setup.py](https://github.com/ydataai/ydata-profiling/blob/master/setup.py) | Requirements for widgets etc. | +| Filename | Requirements| +|----------|-------------| +| [requirements.txt](https://github.com/ydataai/ydata-profiling/blob/master/requirements.txt) | Package requirements| +| [requirements-dev.txt](https://github.com/ydataai/ydata-profiling/blob/master/requirements-dev.txt) | Requirements for development| +| [requirements-test.txt](https://github.com/ydataai/ydata-profiling/blob/master/requirements-test.txt) | Requirements for testing| +| [setup.py](https://github.com/ydataai/ydata-profiling/blob/master/setup.py) | Requirements for widgets etc. | ## πŸ”— Integrations -To maximize its usefulness in real world contexts, `pandas-profiling` has a set of implicit and explicit integrations with a variety of other actors in the Data Science ecosystem: +To maximize its usefulness in real world contexts, `pandas-profiling` has a set of implicit and explicit integrations with a variety of other actors in the Data Science ecosystem: -| Integration type | Description | -| --------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| [Other DataFrame libraries](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/other_dataframe_libraries.html) | 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 | -| [Interactive applications](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/data_apps.html) | 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 `pandas-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 `pandas-profiling` directly from integrated development environments such as [PyCharm](https://www.jetbrains.com/pycharm/) | +| Integration type | Description | +|---|---| +| [Other DataFrame libraries](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/other_dataframe_libraries.html) | 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 | +| [Interactive applications](https://ydata-profiling.ydata.ai/docs/master/pages/integrations/data_apps.html) | 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 `pandas-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 `pandas-profiling` directly from integrated development environments such as [PyCharm](https://www.jetbrains.com/pycharm/) | ## πŸ™‹ Support - Need help? Want to share a perspective? Report a bug? Ideas for collaborations? Reach out via the following channels: - [Stack Overflow](https://stackoverflow.com/questions/tagged/pandas-profiling+or+ydata-profiling): ideal for asking questions on how to use the package diff --git a/docsrc/source/pages/reference/changelog.rst b/docsrc/source/pages/reference/changelog.rst index 4ded8feec..32fc4f850 100644 --- a/docsrc/source/pages/reference/changelog.rst +++ b/docsrc/source/pages/reference/changelog.rst @@ -2,9 +2,9 @@ Changelog ========= -.. include:: changelog/v4_1_0.md - :parser: myst_parser.sphinx_ - +.. include:: changelog/v4_1_0.md + :parser: myst_parser.sphinx_ + .. include:: changelog/v4_0_0.md :parser: myst_parser.sphinx_ diff --git a/docsrc/source/pages/reference/changelog/v3_5_0.md b/docsrc/source/pages/reference/changelog/v3_5_0.md index 814a94bac..2a9b93bfa 100644 --- a/docsrc/source/pages/reference/changelog/v3_5_0.md +++ b/docsrc/source/pages/reference/changelog/v3_5_0.md @@ -1,18 +1,20 @@ ### Changelog v3.5.0 + #### πŸ› Bug fixes -- change context managed backend ([#1149](https://github.com/ydataai/ydata-profiling/issues/1149)) ([11e1a8a](https://github.com/ydataai/ydata-profiling/commit/11e1a8a3fa8d13513fe926b731fb907a066af2a1)) -- dataset names on comparison report ([#1159](https://github.com/ydataai/ydata-profiling/issues/1159)) ([3c14d43](https://github.com/ydataai/ydata-profiling/commit/3c14d438d9a557ac85f5663cc3446c0fb3081e18)) -- duplicate key in test dict ([#1126](https://github.com/ydataai/ydata-profiling/issues/1126)) ([d19affe](https://github.com/ydataai/ydata-profiling/commit/d19affe15a4e3063af7187ca5fa81f1bf75ce648)) -- improve description and correct plot for β€˜auto’ correlation ([#1119](https://github.com/ydataai/ydata-profiling/issues/1119)) ([2617b92](https://github.com/ydataai/ydata-profiling/commit/2617b92d08ed87546c80e0cc01cd475d1e60ec56)) -- remove correlation calculation for constants ([#1152](https://github.com/ydataai/ydata-profiling/issues/1152)) ([1ed2bc0](https://github.com/ydataai/ydata-profiling/commit/1ed2bc0702f504592ed211097469405a5061a857)) -- time series render format ([#1157](https://github.com/ydataai/ydata-profiling/issues/1157)) ([39ca8ce](https://github.com/ydataai/ydata-profiling/commit/39ca8ce7d4ed2ad0ebb78db5d5f26d3ace08753a)) -- update config files to only calculate 'auto' correlation ([#1158](https://github.com/ydataai/ydata-profiling/issues/1158)) ([34cf73d](https://github.com/ydataai/ydata-profiling/commit/34cf73dadaea08e44e741f99fa0a10c322c86109)) -- update repository links ([#1141](https://github.com/ydataai/ydata-profiling/issues/1141)) ([c742c5d](https://github.com/ydataai/ydata-profiling/commit/c742c5dbeb18fe2907a4c03792e8802993c46da5)) +* change context managed backend ([#1149](https://github.com/ydataai/ydata-profiling/issues/1149)) ([11e1a8a](https://github.com/ydataai/ydata-profiling/commit/11e1a8a3fa8d13513fe926b731fb907a066af2a1)) +* dataset names on comparison report ([#1159](https://github.com/ydataai/ydata-profiling/issues/1159)) ([3c14d43](https://github.com/ydataai/ydata-profiling/commit/3c14d438d9a557ac85f5663cc3446c0fb3081e18)) +* duplicate key in test dict ([#1126](https://github.com/ydataai/ydata-profiling/issues/1126)) ([d19affe](https://github.com/ydataai/ydata-profiling/commit/d19affe15a4e3063af7187ca5fa81f1bf75ce648)) +* improve description and correct plot for β€˜auto’ correlation ([#1119](https://github.com/ydataai/ydata-profiling/issues/1119)) ([2617b92](https://github.com/ydataai/ydata-profiling/commit/2617b92d08ed87546c80e0cc01cd475d1e60ec56)) +* remove correlation calculation for constants ([#1152](https://github.com/ydataai/ydata-profiling/issues/1152)) ([1ed2bc0](https://github.com/ydataai/ydata-profiling/commit/1ed2bc0702f504592ed211097469405a5061a857)) +* time series render format ([#1157](https://github.com/ydataai/ydata-profiling/issues/1157)) ([39ca8ce](https://github.com/ydataai/ydata-profiling/commit/39ca8ce7d4ed2ad0ebb78db5d5f26d3ace08753a)) +* update config files to only calculate 'auto' correlation ([#1158](https://github.com/ydataai/ydata-profiling/issues/1158)) ([34cf73d](https://github.com/ydataai/ydata-profiling/commit/34cf73dadaea08e44e741f99fa0a10c322c86109)) +* update repository links ([#1141](https://github.com/ydataai/ydata-profiling/issues/1141)) ([c742c5d](https://github.com/ydataai/ydata-profiling/commit/c742c5dbeb18fe2907a4c03792e8802993c46da5)) + #### πŸŽ‰ Features -- add typechecking to profile report ([#1139](https://github.com/ydataai/ydata-profiling/issues/1139)) ([ec8ece0](https://github.com/ydataai/ydata-profiling/commit/ec8ece0de394eb4c2918bb6a74f0c5e5bb77ca61)) -- report comparison example ([#1160](https://github.com/ydataai/ydata-profiling/issues/1160)) ([5e75fd2](https://github.com/ydataai/ydata-profiling/commit/5e75fd275d14c8ce7ba49d0a15ec26810c4c0e73)) -- report comparisons ([#1069](https://github.com/ydataai/ydata-profiling/issues/1069)) ([70ee5c7](https://github.com/ydataai/ydata-profiling/commit/70ee5c776ad0c72d709631690a2df1cde5ca0424)), closes [#1137](https://github.com/ydataai/ydata-profiling/issues/1137) [#1136](https://github.com/ydataai/ydata-profiling/issues/1136) [#1143](https://github.com/ydataai/ydata-profiling/issues/1143) [#1148](https://github.com/ydataai/ydata-profiling/issues/1148) [#1150](https://github.com/ydataai/ydata-profiling/issues/1150) +* add typechecking to profile report ([#1139](https://github.com/ydataai/ydata-profiling/issues/1139)) ([ec8ece0](https://github.com/ydataai/ydata-profiling/commit/ec8ece0de394eb4c2918bb6a74f0c5e5bb77ca61)) +* report comparison example ([#1160](https://github.com/ydataai/ydata-profiling/issues/1160)) ([5e75fd2](https://github.com/ydataai/ydata-profiling/commit/5e75fd275d14c8ce7ba49d0a15ec26810c4c0e73)) +* report comparisons ([#1069](https://github.com/ydataai/ydata-profiling/issues/1069)) ([70ee5c7](https://github.com/ydataai/ydata-profiling/commit/70ee5c776ad0c72d709631690a2df1cde5ca0424)), closes [#1137](https://github.com/ydataai/ydata-profiling/issues/1137) [#1136](https://github.com/ydataai/ydata-profiling/issues/1136) [#1143](https://github.com/ydataai/ydata-profiling/issues/1143) [#1148](https://github.com/ydataai/ydata-profiling/issues/1148) [#1150](https://github.com/ydataai/ydata-profiling/issues/1150) diff --git a/docsrc/source/pages/reference/changelog/v3_5_1.md b/docsrc/source/pages/reference/changelog/v3_5_1.md index 881ad761f..5acc405d1 100644 --- a/docsrc/source/pages/reference/changelog/v3_5_1.md +++ b/docsrc/source/pages/reference/changelog/v3_5_1.md @@ -1,5 +1,6 @@ ### Changelog v3.5.1 + #### πŸ› Bug fixes -- **utils:** use 'urllib.request' instead of 'requests' ([#1177](https://github.com/ydataai/ydata-profiling/issues/1177)) ([e4d020b](https://github.com/ydataai/ydata-profiling/commit/e4d020b873b67845a329517e42620ed96545d60e)), closes [#1168](https://github.com/ydataai/ydata-profiling/issues/1168) +* **utils:** use 'urllib.request' instead of 'requests' ([#1177](https://github.com/ydataai/ydata-profiling/issues/1177)) ([e4d020b](https://github.com/ydataai/ydata-profiling/commit/e4d020b873b67845a329517e42620ed96545d60e)), closes [#1168](https://github.com/ydataai/ydata-profiling/issues/1168) \ No newline at end of file diff --git a/docsrc/source/pages/reference/changelog/v3_6_0.md b/docsrc/source/pages/reference/changelog/v3_6_0.md index 925d9e3d5..6eea1fac3 100644 --- a/docsrc/source/pages/reference/changelog/v3_6_0.md +++ b/docsrc/source/pages/reference/changelog/v3_6_0.md @@ -1,32 +1,34 @@ # [3.6.0](https://github.com/ydataai/ydata-profiling/compare/v3.5.0...v3.6.0) (2022-12-21) + #### πŸ› Bug fixes -- add css to cope with large tables ([7f42f87](https://github.com/ydataai/ydata-profiling/commit/7f42f87cedd06694fe83241416e1fa21327b8c97)) -- adjust categoricals layout ([f0bb45a](https://github.com/ydataai/ydata-profiling/commit/f0bb45a2a2d89b5c6e77fd20939e069979b2b948)) -- categorical data not being obscured in the common values plot ([40236bc](https://github.com/ydataai/ydata-profiling/commit/40236bc67619a8aadeae797920c6238616169641)) -- compare report ignoring config parameter ([3d60556](https://github.com/ydataai/ydata-profiling/commit/3d6055675579d72a5ddf34c4c85e94befb403e72)) -- compare report warnings always showing the last alert type ([6b3c13d](https://github.com/ydataai/ydata-profiling/commit/6b3c13dd33489c8a895b2db1854b23a7edd3b948)) -- comparison fails when duplicates are disable ([#1208](https://github.com/ydataai/ydata-profiling/issues/1208)) ([6d19620](https://github.com/ydataai/ydata-profiling/commit/6d1962044d5bcf634266998551328bd3cdeb354c)) -- do no raise exception for percentage formatter ([3ea626d](https://github.com/ydataai/ydata-profiling/commit/3ea626de3d839a55fb0fac9dc7a5fa1da18ba037)) -- enforce recomputation of description sets ([a9fd1c8](https://github.com/ydataai/ydata-profiling/commit/a9fd1c845511679a18c87a9566d343ea945e9f16)) -- error comparing only one precomputed profile ([00646cd](https://github.com/ydataai/ydata-profiling/commit/00646cde15e0fb0dad29e4bd3cc5747b3eff61e2)) -- **html:** sensible cloud-platform notebook html rendering ([b22ece2](https://github.com/ydataai/ydata-profiling/commit/b22ece261c0e9a74254361b6b7e121ab94abe44d)) -- ignoring config of precomputed reports ([6478c40](https://github.com/ydataai/ydata-profiling/commit/6478c4047ee871ede7f7aa76379818ee3217e7d7)) -- only compute auto correlation when no config is specified ([d5d4f58](https://github.com/ydataai/ydata-profiling/commit/d5d4f58d3b0728bed021677ffb7be14cb7f04f27)) -- remove malfunctioning hook ([e2593f5](https://github.com/ydataai/ydata-profiling/commit/e2593f5bb093117c7afb8914eafbda6e2e110782)) -- remove unused test ([2170338](https://github.com/ydataai/ydata-profiling/commit/21703385a42bf38d4306511e0f99bed9e1092991)) -- return the proper type for widgets ([4c0b358](https://github.com/ydataai/ydata-profiling/commit/4c0b358002d75139c23babc30cbc0c7b23534d92)) -- set compute default to false ([c70e491](https://github.com/ydataai/ydata-profiling/commit/c70e49136fbdf1d3fe7e6ef5b23a8adbd0567ecf)) -- solve mypy error ([9c4266e](https://github.com/ydataai/ydata-profiling/commit/9c4266eb1cb252d8008795080723598d2d151e26)) -- solve mypy issue ([e3e7788](https://github.com/ydataai/ydata-profiling/commit/e3e7788907eebcf572423b48800f848d965f5969)) -- uses colors from the specified config ([c0c556d](https://github.com/ydataai/ydata-profiling/commit/c0c556d29cc191d44fdb08fc813818709c1b0666)) -- **utils:** use 'urllib.request' instead of 'requests' ([#1177](https://github.com/ydataai/ydata-profiling/issues/1177)) ([e4d020b](https://github.com/ydataai/ydata-profiling/commit/e4d020b873b67845a329517e42620ed96545d60e)), closes [#1168](https://github.com/ydataai/ydata-profiling/issues/1168) +* add css to cope with large tables ([7f42f87](https://github.com/ydataai/ydata-profiling/commit/7f42f87cedd06694fe83241416e1fa21327b8c97)) +* adjust categoricals layout ([f0bb45a](https://github.com/ydataai/ydata-profiling/commit/f0bb45a2a2d89b5c6e77fd20939e069979b2b948)) +* categorical data not being obscured in the common values plot ([40236bc](https://github.com/ydataai/ydata-profiling/commit/40236bc67619a8aadeae797920c6238616169641)) +* compare report ignoring config parameter ([3d60556](https://github.com/ydataai/ydata-profiling/commit/3d6055675579d72a5ddf34c4c85e94befb403e72)) +* compare report warnings always showing the last alert type ([6b3c13d](https://github.com/ydataai/ydata-profiling/commit/6b3c13dd33489c8a895b2db1854b23a7edd3b948)) +* comparison fails when duplicates are disable ([#1208](https://github.com/ydataai/ydata-profiling/issues/1208)) ([6d19620](https://github.com/ydataai/ydata-profiling/commit/6d1962044d5bcf634266998551328bd3cdeb354c)) +* do no raise exception for percentage formatter ([3ea626d](https://github.com/ydataai/ydata-profiling/commit/3ea626de3d839a55fb0fac9dc7a5fa1da18ba037)) +* enforce recomputation of description sets ([a9fd1c8](https://github.com/ydataai/ydata-profiling/commit/a9fd1c845511679a18c87a9566d343ea945e9f16)) +* error comparing only one precomputed profile ([00646cd](https://github.com/ydataai/ydata-profiling/commit/00646cde15e0fb0dad29e4bd3cc5747b3eff61e2)) +* **html:** sensible cloud-platform notebook html rendering ([b22ece2](https://github.com/ydataai/ydata-profiling/commit/b22ece261c0e9a74254361b6b7e121ab94abe44d)) +* ignoring config of precomputed reports ([6478c40](https://github.com/ydataai/ydata-profiling/commit/6478c4047ee871ede7f7aa76379818ee3217e7d7)) +* only compute auto correlation when no config is specified ([d5d4f58](https://github.com/ydataai/ydata-profiling/commit/d5d4f58d3b0728bed021677ffb7be14cb7f04f27)) +* remove malfunctioning hook ([e2593f5](https://github.com/ydataai/ydata-profiling/commit/e2593f5bb093117c7afb8914eafbda6e2e110782)) +* remove unused test ([2170338](https://github.com/ydataai/ydata-profiling/commit/21703385a42bf38d4306511e0f99bed9e1092991)) +* return the proper type for widgets ([4c0b358](https://github.com/ydataai/ydata-profiling/commit/4c0b358002d75139c23babc30cbc0c7b23534d92)) +* set compute default to false ([c70e491](https://github.com/ydataai/ydata-profiling/commit/c70e49136fbdf1d3fe7e6ef5b23a8adbd0567ecf)) +* solve mypy error ([9c4266e](https://github.com/ydataai/ydata-profiling/commit/9c4266eb1cb252d8008795080723598d2d151e26)) +* solve mypy issue ([e3e7788](https://github.com/ydataai/ydata-profiling/commit/e3e7788907eebcf572423b48800f848d965f5969)) +* uses colors from the specified config ([c0c556d](https://github.com/ydataai/ydata-profiling/commit/c0c556d29cc191d44fdb08fc813818709c1b0666)) +* **utils:** use 'urllib.request' instead of 'requests' ([#1177](https://github.com/ydataai/ydata-profiling/issues/1177)) ([e4d020b](https://github.com/ydataai/ydata-profiling/commit/e4d020b873b67845a329517e42620ed96545d60e)), closes [#1168](https://github.com/ydataai/ydata-profiling/issues/1168) + #### πŸŽ‰ Features -- add heatmap values as a table under correlations ([fc5da9e](https://github.com/ydataai/ydata-profiling/commit/fc5da9eff07e7e18c5fd2d8caa698af7aee861e2)) -- allow to specify the configuration for the comparison report ([ad725b0](https://github.com/ydataai/ydata-profiling/commit/ad725b0f7d3b61c2a4fafddbdbfc1451197e2c94)) -- design improvements on the correlations section ([e5cd8cf](https://github.com/ydataai/ydata-profiling/commit/e5cd8cfb4b91f22b3435f9830f516e929c4e8d32)) -- implement imbalanced warning ([ce84c81](https://github.com/ydataai/ydata-profiling/commit/ce84c81c9d2194237676a407fbe5d2461ed64eda)) -- update variables layout ([#1207](https://github.com/ydataai/ydata-profiling/issues/1207)) ([cf0e0a7](https://github.com/ydataai/ydata-profiling/commit/cf0e0a72477ce13941caf09887afe6a1c3073858)) +* add heatmap values as a table under correlations ([fc5da9e](https://github.com/ydataai/ydata-profiling/commit/fc5da9eff07e7e18c5fd2d8caa698af7aee861e2)) +* allow to specify the configuration for the comparison report ([ad725b0](https://github.com/ydataai/ydata-profiling/commit/ad725b0f7d3b61c2a4fafddbdbfc1451197e2c94)) +* design improvements on the correlations section ([e5cd8cf](https://github.com/ydataai/ydata-profiling/commit/e5cd8cfb4b91f22b3435f9830f516e929c4e8d32)) +* implement imbalanced warning ([ce84c81](https://github.com/ydataai/ydata-profiling/commit/ce84c81c9d2194237676a407fbe5d2461ed64eda)) +* update variables layout ([#1207](https://github.com/ydataai/ydata-profiling/issues/1207)) ([cf0e0a7](https://github.com/ydataai/ydata-profiling/commit/cf0e0a72477ce13941caf09887afe6a1c3073858)) \ No newline at end of file diff --git a/docsrc/source/pages/reference/changelog/v3_6_1.md b/docsrc/source/pages/reference/changelog/v3_6_1.md index e8a4b30b4..1949eb4b3 100644 --- a/docsrc/source/pages/reference/changelog/v3_6_1.md +++ b/docsrc/source/pages/reference/changelog/v3_6_1.md @@ -1,6 +1,7 @@ ### Changelog v3.6.1 + #### πŸ› Bug fixes -- categorical var frequency plot ([6cb391f](https://github.com/ydataai/ydata-profiling/commit/6cb391fd8d26c98792e14592b4d853f9a557eab0)) -- remove ipywidgets import ([1b8b117](https://github.com/ydataai/ydata-profiling/commit/1b8b11719cd2a1dfcde9ecd7406aa0545bf46a8e)) +* categorical var frequency plot ([6cb391f](https://github.com/ydataai/ydata-profiling/commit/6cb391fd8d26c98792e14592b4d853f9a557eab0)) +* remove ipywidgets import ([1b8b117](https://github.com/ydataai/ydata-profiling/commit/1b8b11719cd2a1dfcde9ecd7406aa0545bf46a8e)) \ No newline at end of file diff --git a/docsrc/source/pages/reference/changelog/v3_6_2.md b/docsrc/source/pages/reference/changelog/v3_6_2.md index 31527c8b6..b357b8275 100644 --- a/docsrc/source/pages/reference/changelog/v3_6_2.md +++ b/docsrc/source/pages/reference/changelog/v3_6_2.md @@ -1,8 +1,9 @@ ### Changelog v3.6.2 + #### πŸ› Bug fixes -- comparison alerts ([#1229](https://github.com/ydataai/ydata-profiling/issues/1229)) ([6f6baf2](https://github.com/ydataai/ydata-profiling/commit/6f6baf2db01d1802eef8ce3ebc0612a37cffa3cf)) -- comparison histogram ([#1228](https://github.com/ydataai/ydata-profiling/issues/1228)) ([09ccae6](https://github.com/ydataai/ydata-profiling/commit/09ccae66aad9a16528ac6eda755475cb76ca8228)) -- comparison report style issues ([34431a1](https://github.com/ydataai/ydata-profiling/commit/34431a13d39fe0b9a5f58a6c739120a9df0e90c0)) -- update the link for the people-example.csv ([37cd822](https://github.com/ydataai/ydata-profiling/commit/37cd822fc8fea7b3a4c9ea456fbd01be76f8391c)) +* comparison alerts ([#1229](https://github.com/ydataai/ydata-profiling/issues/1229)) ([6f6baf2](https://github.com/ydataai/ydata-profiling/commit/6f6baf2db01d1802eef8ce3ebc0612a37cffa3cf)) +* comparison histogram ([#1228](https://github.com/ydataai/ydata-profiling/issues/1228)) ([09ccae6](https://github.com/ydataai/ydata-profiling/commit/09ccae66aad9a16528ac6eda755475cb76ca8228)) +* comparison report style issues ([34431a1](https://github.com/ydataai/ydata-profiling/commit/34431a13d39fe0b9a5f58a6c739120a9df0e90c0)) +* update the link for the people-example.csv ([37cd822](https://github.com/ydataai/ydata-profiling/commit/37cd822fc8fea7b3a4c9ea456fbd01be76f8391c)) diff --git a/docsrc/source/pages/reference/changelog/v3_6_3.md b/docsrc/source/pages/reference/changelog/v3_6_3.md index 593244a0d..982a42028 100644 --- a/docsrc/source/pages/reference/changelog/v3_6_3.md +++ b/docsrc/source/pages/reference/changelog/v3_6_3.md @@ -1,6 +1,7 @@ ### Changelog v3.6.3 + #### πŸ› Bug fixes -- issue[#1104](https://github.com/ydataai/ydata-profiling/issues/1104) empty dataframe ([#1238](https://github.com/ydataai/ydata-profiling/issues/1238)) ([db60d48](https://github.com/ydataai/ydata-profiling/commit/db60d48383acd70f6c5c09dc6b9c98e0a7dce57b)) -- time series vars excluded from some plots ([#1243](https://github.com/ydataai/ydata-profiling/issues/1243)) ([906591e](https://github.com/ydataai/ydata-profiling/commit/906591ef64da9766deefa7e1e8841080ca2a905e)) +* issue[#1104](https://github.com/ydataai/ydata-profiling/issues/1104) empty dataframe ([#1238](https://github.com/ydataai/ydata-profiling/issues/1238)) ([db60d48](https://github.com/ydataai/ydata-profiling/commit/db60d48383acd70f6c5c09dc6b9c98e0a7dce57b)) +* time series vars excluded from some plots ([#1243](https://github.com/ydataai/ydata-profiling/issues/1243)) ([906591e](https://github.com/ydataai/ydata-profiling/commit/906591ef64da9766deefa7e1e8841080ca2a905e)) \ No newline at end of file