This is a gallery of data visualizations which have been created using the R package animint2.
| viz.link | title | links |
|---|---|---|
![]() |
Map and time series of Toby Hocking’s Bike Rides in 2009 | repo source video |
![]() |
World Bank data (multiple selection, facets) | repo source video |
![]() |
Cross-validation for Breiman’s CART algorithm on SPAM data | repo source video |
![]() |
Greedy decision tree learning algorithm for binary classification (Breiman’s CART) | repo source video |
![]() |
Samples required to learn non-trivial regression model | repo source video |
![]() |
BIC versus learned penalty in neuroblastoma data | repo source video |
![]() |
Accuracy of predicting qSIP data | repo source video |
![]() |
Hidden Markov Model for 2d angular data | repo source video |
![]() |
Generalized ROC curve metrics | repo source video |
![]() |
Simple non-monotonic ROC curve | repo source video |
![]() |
Gaussian Process models for sample selection | repo source |
![]() |
Classifying chest X-rays, plot confidence | repo source |
![]() |
Classifying Covid19 chest X-ray images | repo source |
![]() |
Variable size train sets, classification | repo source video |
![]() |
Variable size train set, regression | repo source video |
![]() |
SOAK algorithm: train/predict on subsets, classification | repo source video |
![]() |
SOAK algorithm: train/predict on subsets, regression | repo source video |
![]() |
Overfitting using linear model polynomial degree and nearest neighbors, HTML table layout | repo source |
![]() |
Overfitting using linear model polynomial degree and nearest neighbors | repo source |
![]() |
Overfitting using linear model polynomial degree | repo source |
![]() |
Overfitting using linear model polynomial degree | repo source |
![]() |
Initial/optimized AUM/AUC for change-point problems | repo source |
![]() |
Sugar Maple accuracy and variable selection | repo source |
![]() |
Table Mountain Pine accuracy and variable selection | repo source |
![]() |
Sugar Maple ROC curves and error/accuracy metrics | repo source |
![]() |
Table Mountain Pine ROC curves and error/accuracy metrics | repo source |
![]() |
L2-regularized (Ridge) least squares linear regression | repo source |
![]() |
Gradient descent with several step sizes for 1d linear regression in ozone data | repo source |
![]() |
Gradient descent for 1d linear regression in ozone data | repo source |
![]() |
Nearest neighbors algorithm for regression | repo source |
![]() |
Nearest neighbors for regression with 2D inputs | repo source |
![]() |
Nearest neighbors algorithm for classification | repo source |
![]() |
4 fold cross-validation | repo source |
![]() |
AIC/BIC change-point detection comparison using ROC curves | repo source |
| NA | NA | NA |
| NA | NA | NA |
![]() |
bacteria_fungi_conservative visualization | repo source |
![]() |
bacteria_fungi_conservative visualization | repo source |
![]() |
breakpoints select multiple segmentation models | repo source |
![]() |
US Tornado Visualization | repo source video |
![]() |
Central American Temperature Maps | repo source video |
![]() |
World Bank data viz for Animint paper | repo source video |
![]() |
ChIP-seq Unaligned | repo source video |
![]() |
Montreal cyclists and accidents, 2009-2014 | repo source video |
![]() |
Demo of Constrained Pruned Dynamic Programming Algorithm | repo source |
![]() |
Cost/slack minimization over all feature thresholds, for building max margin interval tree models | repo source |
![]() |
Segmentation model selection with BIC | repo source |
![]() |
Gradient descent for neural network and linear model | repo source |
![]() |
Gradient descent for regression | repo source |
![]() |
Climate change sensor stations | repo source |
![]() |
Labeled optimal partitioning (LOPART) algorithm for change-point detection with label constraints | repo source |
![]() |
Animint compiler with for loops | repo source |
![]() |
Changepoint detection ROC curve alignment problem | repo source |
![]() |
Changepoint model selection | repo source |
Download this table: error.csv
| viz.link | repo.link | error |
|---|---|---|
| tdhock/tdhock-figure-nnet-regression-degrees | repo | Capture.PNG download returned 404: Not Found |
![]() |
repo | plot.json file in gh-pages branch of tdhock/animint-figure-nnet-regression-degrees should have element named title which should be string describing the data viz |