After this daunting exercise, we can filter the spreadsheet and look carefully to the variables with ‘High’ ‘Expectation’. Then, we can rush into some scatter plots between those variables and ‘SalePrice’, filling in the ‘Conclusion’ column which is just the correction of our expectation...
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IntraSOM is a Python package for self-organizing maps (SOMs) that offers a comprehensive set of features and visualization tools. • IntraSOM supports handling datasets with missing data and data imputation. • The package offers various visualization options, including U-matrix, component plots,...
https://www.kaggle.com/pmarcelino/comprehensive-data-exploration-with-python#2.-First-things-first:-analysing-'SalePrice' Intro Understand the problem Univariable study Multivariate study Basic cleaning Test assumption What we expect Variable: name ...
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pixel multiply by twenty. We used a sliding window with a size of 8 Mb to slide along the diagonal to intercept the TAD level map. Structural similarity (SSIM)96was used to evaluate the similarity of each map by skiamge Python package, and the average result was defined as Hier_SSIM....
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Implementation of the databaseThe scCancerExplorer platform is developed with Python and the Django framework (https://djangoproject.com), utilizing PostgreSQL (https://www.postgresql.org) for systematic data organization and management. The user-friendly interface is built with Angular and NG-ZORRO....
Statistical analyses were executed via Python packages, such as NumPy (v1.24.3), Pandas (v1.5.3), SciPy (v1.10.1) and GSEApy (v1.1.3). The data were visualized via various methods and are shown in volcano plots, heatmaps, bubble charts, bar charts, uniform manifold approximation and ...