waylon/pyDataVizDay
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Initial commit of app

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Walker Waylon Scott 2017-06-29 23:10:18 -05:00
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14
README.md
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@ -11,7 +11,7 @@ This project will be using the Kaggle
|----|---------|-------------------|--------------------------|------------|---------------------------|--------------------------|------------------|--------------------------|---------------|---------------------------------|-----------------|--------------------------------------------|-------------------|-----------------------------|----------------------|------------------------|------------------------------------------------------------------|------------------------------------------------------|------------------------|------------|-----------|------------------|------------|--------------|--------------------------|--------------|----------------|------------------------|
| 0 | Color | James Cameron | 723 | 178 | 0 | 855 | Joel David Moore | 1000 | 7.60506e+08 | Action/Adventure/Fantasy/Sci-Fi | CCH Pounder | Avatar | 886204 | 4834 | Wes Studi | 0 | avatar/future/marine/native/paraplegic | http://www.imdb.com/title/tt0499549/?ref_=fn_tt_tt_1 | 3054 | English | USA | PG-13 | 2.37e+08 | 2009 | 936 | 7.9 | 1.78 | 33000 |
| 1 | Color | Gore Verbinski | 302 | 169 | 563 | 1000 | Orlando Bloom | 40000 | 3.09404e+08 | Action/Adventure/Fantasy | Johnny Depp | Pirates of the Caribbean- At World's End | 471220 | 48350 | Jack Davenport | 0 | goddess/marriage ceremony/marriage proposal/pirate/singapore | http://www.imdb.com/title/tt0449088/?ref_=fn_tt_tt_1 | 1238 | English | USA | PG-13 | 3e+08 | 2007 | 5000 | 7.1 | 2.35 | 0 |
| 2 | Color | Sam Mendes | 602 | 148 | 0 | 161 | Rory Kinnear | 11000 | 2.00074e+08 | Action/Adventure/Thriller | Christoph Waltz | Spectre | 275868 | 11700 | Stephanie Sigman | 1 | bomb|espionage/sequel/spy/terrorist | http://www.imdb.com/title/tt2379713/?ref_=fn_tt_tt_1 | 994 | English | UK | PG-13 | 2.45e+08 | 2015 | 393 | 6.8 | 2.35 | 85000 |
| 2 | Color | Sam Mendes | 602 | 148 | 0 | 161 | Rory Kinnear | 11000 | 2.00074e+08 | Action/Adventure/Thriller | Christoph Waltz | Spectre | 275868 | 11700 | Stephanie Sigman | 1 | bomb/espionage/sequel/spy/terrorist | http://www.imdb.com/title/tt2379713/?ref_=fn_tt_tt_1 | 994 | English | UK | PG-13 | 2.45e+08 | 2015 | 393 | 6.8 | 2.35 | 85000 |
| 3 | Color | Christopher Nolan | 813 | 164 | 22000 | 23000 | Christian Bale | 27000 | 4.48131e+08 | Action/Thriller | Tom Hardy | The Dark Knight Rises | 1144337 | 106759 | Joseph Gordon-Levitt | 0 | deception/imprisonment/lawlessness/police officer/terrorist plot | http://www.imdb.com/title/tt1345836/?ref_=fn_tt_tt_1 | 2701 | English | USA | PG-13 | 2.5e+08 | 2012 | 23000 | 8.5 | 2.35 | 164000 |
| 4 | nan | Doug Walker | nan | nan | 131 | nan | Rob Walker | 131 | nan | Documentary | Doug Walker | Star Wars: Episode VII - The Force Awakens | 8 | 143 | nan | 0 | nan | http://www.imdb.com/title/tt5289954/?ref_=fn_tt_tt_1 | nan | nan | nan | nan | nan | nan | 12 | 7.1 | nan | 0 |
@ -43,3 +43,15 @@ This is the wireframe that the team has been given to replicate in python using
![dashboard](./wireframe/DashboardMock-up-01.jpg)
## Time Investment
* **5 min** ETL
* initial creation(modified personal file)
* **5 min** settings.py
* 5 minute (modified personal file)
* **20 min** setup initial layout.html, index, and first two "story".html pages
* found decent bootstrap layout template online
* first time following the Flask Active button tutorial
* http://jinja.pocoo.org/docs/2.9/tricks/

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notebooks/Explore Movie Dataset.ipynb
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src/pyDataVizDay.py Normal file
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"""
PyDataVizDay
A python implementation of the Data Viz Day visualization built from the Kaggle
IMDB 5000 Movie Dataset.
"""
from flask import Flask
from flask import request, render_template, make_response, jsonify
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html', body='Hello')
@app.route('/investor')
def investor():
return render_template('investor.html', body='Hello Investor')
@app.route('/enthusiast')
def enthusiast():
return render_template('enthusiast.html', body='Hello Enthusiast')
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='pyDataVizDay')
parser.add_argument('--port', default='5000')
parser.add_argument('--debug', dest='debug', action='store_true')
parser.add_argument('--no_debug', dest='debug', action='store_false')
parser.set_defaults(debug=False)
args = parser.parse_args()
# webbrowser.open('http://' + str(host) + ':' + str(port) + '/')
app.run(debug=args.debug, host='0.0.0.0', port=int(args.port))

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{% extends "layout.html" %}
{% set active_page = "enthusiast" %}

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src/templates/index.html Normal file
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{% extends "layout.html" %}
{% set active_page = "index" %}

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src/templates/investor.html Normal file
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{% extends "layout.html" %}
{% set active_page = "investor" %}

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<!DOCTYPE html>
<html lang="en">
<head>
<title>{{ title }}</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
</head>
<body>
{% set navigation_bar = [
('/investor', 'investor', 'Investor'),
('/enthusiast', 'enthusiast', 'Enthusiast'),
] -%}
{% set active_page = active_page|default('index') -%}
<nav class="navbar navbar-inverse">
<div class="container-fluid">
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#myNavbar">
</button>
<a class="navbar-brand" href="/">pyDataVizDay</a>
</div>
<div class="collapse navbar-collapse" id="myNavbar">
<ul class="nav navbar-nav">
{% for href, id, caption in navigation_bar %}
<li{% if id == active_page %} class="active"{% endif%}>
<a href="{{ href|e }}">{{ caption|e }}</a></li>
{% endfor %}
</ul>
</div>
</div>
</nav>
{{ body }}
</body>
</html>

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src/templates/pyDataVizDay.py Normal file
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"""
PyDataVizDay
A python implementation of the Data Viz Day visualization built from the Kaggle
IMDB 5000 Movie Dataset.
"""
from flask import Flask
from flask import request, render_template, make_response, jsonify
app = Flask(__name__):
@app.route('/')
def index():
return render_template('index.html', body='Hello')
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='pyDataVizDay')
parser.add_argument('--port', default='5000')
parser.add_argument('--debug', dest='debug', action='store_true')
parser.add_argument('--no_debug', dest='debug', action='store_false')
parser.set_defaults(debug=False)
args = parser.parse_args()
host = socket.gethostbyname(socket.gethostname())
# webbrowser.open('http://' + str(host) + ':' + str(port) + '/')
app.run(debug=args.debug, host=str(host), port=int(args.port))