DataScience_References/visualize at master · iveksl2/DataScience_References · GitHub

Name		Name	Last commit message	Last commit date
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.ipynb_checkpoints		.ipynb_checkpoints
Basic Charting Plotly.ipynb		Basic Charting Plotly.ipynb
Choropleth.ipynb		Choropleth.ipynb
Copy_of_Heatmaps.ipynb		Copy_of_Heatmaps.ipynb
Heatmaps.ipynb		Heatmaps.ipynb
README.md		README.md
Untitled.ipynb		Untitled.ipynb
datasets_35620_48237_bea-gdp-by-state.csv		datasets_35620_48237_bea-gdp-by-state.csv
fig_vs_axes_explanation.ipynb		fig_vs_axes_explanation.ipynb
plotly_epxress_basics.ipynb		plotly_epxress_basics.ipynb

README.md

Principles & Galleries:

Plotting Libraries

Python
- Matplotlib
- Plotly
R :
- ggplot2
  - 3 best visualization resources recommended by Matt Dancho
    - ggplot2 tutorial for beautiful plotting - Cedrec Scherer <- Best ggplot2 tutorial
    - Data Visualization with R - Rob Kabacoff
    - Fundamentals of Data Visualization - Claus O Wilke <- more conceptual
  - ggplot2 gallery from graph-gallery
  - data visualization - R for datascience
  - Graphics for communication

Colors Schemes:

Maps -> Choropleths

Python
- Plotly - Choropleth Maps
R
- Draw Maps - Kieran Healy

DataFrame Heatmaps

Python
- DataFrame Heatmaps