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Evan Sadler easadler

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@easadler
easadler / .block
Created February 16, 2017 23:28
Choropleth
license: gpl-3.0
height: 600
border: no
@easadler
easadler / .block
Created February 10, 2017 18:20
Crossfilter with d3.csv
license: mit
@easadler
easadler / .block
Created November 19, 2016 20:22
Choropleth Projection Error
license: gpl-3.0
height: 600
border: no
@easadler
easadler / .block
Last active November 16, 2016 16:14
Choropleth
license: gpl-3.0
height: 600
border: no
@easadler
easadler / .block
Created November 7, 2016 20:51
D3 Rave part 1
license: mit
@easadler
easadler / .block
Last active November 16, 2016 22:40
Line Chart with Bounds
license: gpl-3.0
@easadler
easadler / .block
Last active November 7, 2016 20:50
D3 Rave Part 2
license: mit
@easadler
easadler / README.md
Last active January 26, 2016 05:45
Cash for Clunkers Chord

Shows the car exchanges in the Cash for Clunkers program aggregated by automaker nationality.

Click here to see how I transformed the data.

Source of data

@easadler
easadler / README.md
Last active December 24, 2015 18:20
Class: perform column-wise hierarchical clustering

Class: Column-Wise Hierarchical Clustering

I created this class because of feedback from Dr. Alexander on my first project at Galvanize. He suggested hierarchical clustering on the columns to reduce the large feature space into hopefully interpretable combinations.

Getting started is very simple:

from columnwiseclustering import CWHC
X = df.values
names = df.columns
@easadler
easadler / README.md
Last active January 26, 2016 05:45
Class: EDA & feature engineering using PCA

Class: Dimension Reduction Plot Components (DRPC)

I created this class to quickly implement versions of PCA and develope intuition through plotting and examining the principle componenents. The syntax follows scikit learn's philosophy, with a few modifications to improve the work flow for the specific uses of this class.

Getting started is very simple:

from reducedimensions import DRPC
X = df.values
names = df.columns