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display_as.yml
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mathematics:
reference: '#mathematics'
text: Mathematics
statistics:
reference: '#statistics'
text: Statistics
peak-analysis:
reference: '#peak-analysis'
text: Peak Analysis
signal-analysis:
reference: '#signal-analysis'
text: Signal Analysis
file_settings:
reference: 'plotly-fundamentals'
text: Plotly Fundamentals
basic:
reference: 'basic-charts'
text: Basic
statistical:
reference: 'statistical-charts'
text: Statistical
scientific:
reference: 'scientific-charts'
text: Scientific
financial:
reference: '#financial-charts'
text: Financial
maps:
reference: 'maps'
text: Maps
3d_charts:
reference: '3d-charts'
text: 3D
multiple_axes:
reference: 'subplot-charts'
text: Subplots
transforms:
reference: '#transforms'
text: Transforms
controls:
reference: '#controls'
text: Custom Controls
language:
reference: '#chart-events'
text: Chart Events
animations:
reference: '#animations'
text: Animations
streaming:
reference: '#streaming'
text: Streaming
databases:
reference: '#databases'
text: Connecting to Databases
report_generation:
reference: '#report-generation'
text: Report Generation
style_opt:
reference: '#style-options'
text: Style Options
layout_opt:
reference: '#layout-options'
text: Layout Options
legacy_charts:
reference: '#legacy-charts'
text: Legacy Charts
tutorial:
reference: '#tutorial'
text: Tutorial
get_request:
reference: '#static-image-export'
text: Image Export & Retrieving Plots
aesthetics:
reference: '#aes'
text: Aesthetics
geoms:
reference: '#geoms'
text: Geoms
faceting:
reference: '#faceting'
text: Faceting
other:
reference: '#other'
text: Other
theme:
reference: '#theme'
text: Theme
general_examples:
reference: '#general-examples'
text: General Examples
real_dataset:
reference: '#real_dataset'
text: Examples based on real world dataset
biclustering:
reference: '#biclustering'
text: Biclustering
calibration:
reference: '#calibration'
text: Calibration
classification:
reference: '#classification'
text: Classification
clustering:
reference: '#clustering'
text: Clustering
covariance_estimation:
reference: '#covariance_estimation'
text: Covariance Estimation
cross_decomposition:
reference: '#cross_decomposition '
text: Cross Decomposition
dataset:
reference: '#dataset '
text: Dataset Examples
decomposition:
reference: '#decomposition '
text: Decomposition
ensemble_methods:
reference: '#ensemble_methods '
text: Ensemble Methods
tutorial_exercises:
reference: '#tutorial_exercises '
text: Tutorial Exercises
feature_selection:
reference: '#feature_selection '
text: Feature Selection
gaussian-process:
reference: '#gaussian-process '
text: Gaussian Process for Machine Learning
linear_models:
reference: '#linear_models '
text: Generalized Linear Models
manifold_learning:
reference: '#manifold_learning '
text: Manifold Learning
gaussian_mixture:
reference: '#gaussian_mixture'
text: Gaussian Mixture Models
model_selection:
reference: '#model_selection'
text: Model Selection
nearest_neighbors:
reference: '#nearest_neighbors '
text: Nearest Neighbors
neural_networks:
reference: '#neural_networks '
text: Neural Networks
preprocessing:
reference: '#preprocessing '
text: Preprocessing
semi_supervised:
reference: '#semi_supervised '
text: Semi Supervised Classification
vector_machines:
reference: '#vector_machines'
text: Support Vector Machines
decision_trees:
reference: '#decision_trees'
text: Decision Trees
text_documents:
reference: '#text_documents'
text: Working with Text Documents
dashboards:
reference: '#industry'
text: By Industry
chart_events:
reference: '#chart-events'
text: Chart Events
ipython_notebooks_gallery:
reference: '#language'
text: By Data Science Language