Plotly for Rust
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Updated
Jun 12, 2024 - Rust
Plotly for Rust
Scalable WebGL-based scatter plot library build with Regl
Application for data analysis and curve fitting
Scatterplot matrices with gnuplot using gretl
This codes will introduce you to usage of MatPlotLib.
Scatterd is a Python package for easy and fast creation of beautiful scatter plots.
About Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.
PHP-Scatterplot is a simple PHP library to create scatter plot easily.
Interactive quality analysis for two-dimensional embeddings
This Excel Workbook repository explores the following skills: scatterplots, trend-line equation, linear regression, multiple regression equation, interpret the s standard error of estimate se and R2, and estimated fit of the equation.
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
The "Crime in Vancouver" Dash application provides users with an interactive visualization of crime data in Vancouver, British Columbia. Users can explore geographical and temporal patterns of various types of crimes across different neighborhoods, streets, seasons, and years.
Contains R codes for processing and analyzing data for Great Lakes Cladophora work
A scatterplot example with deck.gl and dynamic label collision settings
Make interactive scatterplots of atomic orbitals and animate them.
Iris-Dataset-Prediction-using-Unsupervised-ML This project involves the analysis of the Iris dataset using Python. It includes code to determine the optimum number of clusters using the K-means clustering algorithm, visualizations such as scatter plot, pair plots and hist plots, and other insights into the dataset.
Functions for easily making publication-quality figures with matplotlib.
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