Take a look at TDSP utilities about codebase

[miguelgfierro]

tools for python https://github.com/Azure/Azure-TDSP-Utilities/blob/master/DataScienceUtilities/DataReport-Utils/Python2/team-data-science-process-idear-python-instructions.md

[miguelgfierro]

Content of release
• Interactive Data Exploration, Analysis, and Reporting (IDEAR) in Microsoft R Server (MRS)
• Interactive Data Exploration, Analysis, and Reporting (IDEAR) in Python (2.7 and 3.5) and Azure Notebooks
Version of release
• 0.12
Where to get the release
• https://github.com/Azure/Azure-TDSP-Utilities/tree/master/DataScienceUtilities/DataReport-Utils
New features
• IDEAR in Microsoft R Server (MRS) for Big Data.
• IDEAR in Jupyter Notebooks (Python 3).
• IDEAR in Azure Notebooks. Users can directly use IDEAR in Azure Notebook service to read data and yaml file from Azure Blob Storage and interactively explore, visualize data.
Enhanced features
• Assess and visualize the severity of missing values and locate them in IDEAR in R.
• Visualize high dimensional mixture of numerical and categorical variables by projecting to principal components spaces in IDEAR in R.
• Easily compare univariate distribution of numerical variables conditioning on categorical variable levels in IDEAR in MRS.
• Easily compare bivariate distribution of numerical variables conditioning on categorical variable levels in IDEAR in MRS.
• Fixed issues and adopted suggestions from data science community, including suggestions in pull requests and issues.
Related resources
• TDSP Project Template Repository: https://github.com/Azure/Azure-TDSP-ProjectTemplate
• TDSP Instructions Repository: https://github.com/Azure/Microsoft-TDSP
• TDSP AMAR Utilities https://github.com/Azure/Azure-TDSP-Utilities/blob/master/DataScienceUtilities/Modeling