Nok Lam Chan noklam

## README.md

      
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    Summary:
#Data Visualization with D3.js Final Project
Author : Nok Chan

Date: 2016/08/16

This is the final project Data Visualization with D3.js course, which is part of the Udacity Data Analyst Nanodegree.
Date set: Propser Loan Data Set:

  
## Jupyter Notebook Tricks for Data Science that Enhance your efficiency Demo.ipynb

      
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                Demo_1.ipynb
              
          
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## lesson5-nlp-Copy1.ipynb

      
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                lesson5-nlp-Copy1.ipynb
              
          
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## dogs_cats.ipynb

      
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                dogs_cats.ipynb
              
          
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## gist:2d07574306179aa48d5977da80327aa6

      
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                Zerio divide error for one_cycle
              
          
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## Summary.ipynb

      
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## Demo RNN Model Summary.ipynb

      
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## test previewer.ipynb

      
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## gist:ae4db8d9bc4d6264ce988f3b92816e12
import altair as alt

(alt.Chart(df_sub)
   .mark_rect()
   .encode(x='yearmonthdate(hospTime):O',
           y='hospNameEn:N',
           color=alt.Color('mean(topWaitTime):Q',
           scale=alt.Scale(scheme='orangered')))
)

## seaborn_widget.py
import seaborn as sns
import ipywidgets

@ipywidgets.interact
def plot(color=['red','steelblue']):
         (sns.barplot(y='hospNameEn',
             x='topWaitTime',
             data=df_mean,
             orient='h',
             color=color)
	import altair as alt

	(alt.Chart(df_sub)
	.mark_rect()
	.encode(x='yearmonthdate(hospTime):O',
	y='hospNameEn:N',
	color=alt.Color('mean(topWaitTime):Q',
	scale=alt.Scale(scheme='orangered')))
	)
	import seaborn as sns
	import ipywidgets

	@ipywidgets.interact
	def plot(color=['red','steelblue']):
	(sns.barplot(y='hospNameEn',
	x='topWaitTime',
	data=df_mean,
	orient='h',
	color=color)