GreyNSights
missingno
GreyNSights | missingno | |
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1 | 5 | |
21 | 3,771 | |
- | - | |
0.0 | 1.9 | |
over 2 years ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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GreyNSights
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Anyone here building something new on their own?
Hello, I work for a startup that is solving privacy preserving AI. Apart from that I am working on building a open source software called GreyNsigths (https://github.com/kamathhrishi/GreyNSights). Also I maintain and develop a open source library for secure multi party computation called SyMPC that allows users to train and evaluate encrypted neural networks in Pytorch.
missingno
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#VisualizationTip: Using Seaborn(Heatmap) to visualize Missing data( Yellow- Representation of a column's missing data.)
Good job, but I would recommend missingno it's a powerful module for missing values visualization.
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Differences Between Python Modules, Packages, Libraries, and Frameworks
missingno :is very handy for handling missing data points. It provides informative visualizations about the missing values in a dataframe, helping data scientists to spot areas with missing data. It is just one of the many great Python libraries for data cleaning.
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10 Python Libraries For Data Visualization
missingno The missingno library can deal with missing data and can quickly measure the wholeness of a dataset with a visual summary, instead of managing through a table. The data can be filtered and arranged based on completion or spot correlations with a dendrogram or heatmap. Download here > missingno
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For all the python/pandas users out there I just released a bunch of UI updates to the free visualizer, D-Tale
analysis of "Missing" data using the missingno package is now available in a sliding side panel enlarge or download PNG files for matrix/bar/heatmap/dendrogram charts generated using missingno
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How to use a Support Vector Machine to measure the completeness of data in columns?
From your question I don't think you need machine learning You can just use pandas with some visualizations https://github.com/ResidentMario/missingno
What are some alternatives?
python-performance - Repository for the book Fast Python - published by Manning
dtale - Visualizer for pandas data structures
mlcourse.ai - Open Machine Learning Course
pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.
qo - A simple task manager [Moved to: https://github.com/navxio/tasq]
seaborn - Statistical data visualization in Python
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
NumPy - The fundamental package for scientific computing with Python.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
cheatsheets - Official Matplotlib cheat sheets