#!/usr/bin/env python
# coding: utf-8

# # Outline
# 
# These notebooks contain an introduction to exploratory data analysis with [Altair](http://altair-viz.github.io).
# 
# Materials can be found online at http://github.com/altair-viz/altair-tutorial
# 
# To get Altair and its dependencies installed, please follow the [Installation Instructions](https://altair-viz.github.io/getting_started/installation.html) on Altair's website.
# 
# ## 1. Motivating Altair: Live Demo
# 
# We'll start with a set of intro slides, followed by a live-coded demo of what it looks like to explore data with Altair.
# 
# Here's the rough content of the live demo:
# 
# - [01-Cars-Demo.ipynb](01-Cars-Demo.ipynb)
# 
# This will cover a lot of ground very quickly. Don't worry if you feel a bit shaky on some of the concepts; the goal here is a birds-eye overview, and we'll walk-through important concepts in more detail later.
# 
# ## 2. Simple Charts: Core Concepts
# 
# Digging into the basic features of an Altair chart
# 
# - [02-Simple-Charts.ipynb](02-Simple-Charts.ipynb)
# 
# ## 3. Binning and Aggregation
# 
# Altair lets you build binning and aggregation (i.e. basic data flows) into your chart spec.
# We'll cover that here.
# 
# - [03-Binning-and-aggregation.ipynb](03-Binning-and-aggregation.ipynb)
# 
# ## 4. Layering and Concatenation
# 
# From the simple charts we have seen already, you can begin layering and concatenating charts to build up more complicated visualizations.
# 
# - [04-Compound-charts.ipynb](04-Compound-charts.ipynb)
#    
# ## 5. Exploring a Dataset!
# 
# Here's a chance for you to try this out on some data!
# 
# - [05-Exploring.ipynb](05-Exploring.ipynb)
#    

# ---
# 
# *Afternoon Break*
# 
# ---

# ## 6. Selections: making things interactive
# 
# A killer feature of Altair is the ability to build interactions from basic building blocks.
# We'll dig into that here.
# 
# - [06-Selections.ipynb](06-Selections.ipynb)
# 
# ## 7. Transformations: Data streams within the chart spec
# 
# We saw binning and aggregation previously, but there are a number of other data transformations that Altair makes available.
# 
# - [07-Transformations.ipynb](07-Transformations.ipynb)
# 
# ## 8. Config: Adjusting your Charts
# 
# Once you're happy with your chart, it's nice to be able to tweak things like axis labels, titles, color scales, etc.
# We'll look here at how that can be done with Altair
# 
# - [08-Configuration.ipynb](08-Configuration.ipynb)
# 
# ## 9. Geographic Charts: Maps
# 
# Altair recently added support for geographic visualizations. We'll show a few examples of the basic principles behind these.
# 
# - [09-Geographic-plots.ipynb](09-Geographic-plots.ipynb)
# 
# ## 10. Try it out!
# 
# - Return to your visualization in [05-Exploring.ipynb](05-Exploring.ipynb) and begin adding some interactions & transformations. What can you come up with?