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idescat / visual

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Visual is a Javascript library for data visualization developed by the Statistical Institute of Catalonia (Idescat). It is based on popular open source solutions. Visual offers a simple interface that encapsulates the complexity of these solutions for the most common chart types.

visualization charts data statistics dataviz js maps graphics barchart ranking stats pyramid linechart piechart choropleth-map choropleth catalonia catalunya map-regions scatterplot
  • Updated May 3, 2022
  • JavaScript

aparajitad60 / Room-Occupancy-Detection-Using-Sensor-Data-and-Evaluate-Machine-Learning-Models-with-Yellowbrick

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Evaluation of Machine Learning Models with Yellowbrick

machine-learning python3 feature-selection algorithm-analysis roc-curve sensor-data hyperparameter-tuning occupancy-detection classification-algorithm datavisualization scatterplot anscombesquartet roc-auc radviz yellowbrick discrimination-threshold manifold-visualization parrallel-coordinates-plot rank-features
  • Updated Jul 3, 2020
  • Jupyter Notebook

sharmaroshan / Employee-Attrition-Rate

Star 1

This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the company regarding the company.

visualization analysis histogram piechart boxplot rprogramming scatterplot ggplot barplot stacked-bar-chart lineplot areaplot
  • Updated Jun 5, 2019
  • R

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