71 lines
6.5 KiB
Markdown
71 lines
6.5 KiB
Markdown
# pyDataVizDay
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A python implementation of the Data Viz Day visualization. The visualization is
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built using a flask web framework to serve the web page. The visualization is
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currently running on [heroku](http://pydatavizday.herokuapp.com/).
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## Developing the visualization
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If you want to run the visualization yourself, and further develop it clone this
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repo and run the pyDataVizDay.py file.
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```
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git clone https://github.com/WaylonWalker/pyDataVizDay.git
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python src//pyDataVizDay.py
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```
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## Dataset
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This project will be using the Kaggle
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[IMDB 5000 Movie Dataset](https://www.kaggle.com/deepmatrix/imdb-5000-movie-dataset). It is a collection of 5000 movie metadata pulled from the IMDB website. It contains
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### first 5 rows of data
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| | color | director_name | num_critic_for_reviews | duration | director_facebook_likes | actor_3_facebook_likes | actor_2_name | actor_1_facebook_likes | gross | genres | actor_1_name | movie_title | num_voted_users | cast_total_facebook_likes | actor_3_name | facenumber_in_poster | plot_keywords | movie_imdb_link | num_user_for_reviews | language | country | content_rating | budget | title_year | actor_2_facebook_likes | imdb_score | aspect_ratio | movie_facebook_likes |
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|----|---------|-------------------|--------------------------|------------|---------------------------|--------------------------|------------------|--------------------------|---------------|---------------------------------|-----------------|--------------------------------------------|-------------------|-----------------------------|----------------------|------------------------|------------------------------------------------------------------|------------------------------------------------------|------------------------|------------|-----------|------------------|------------|--------------|--------------------------|--------------|----------------|------------------------|
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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## Interactivity
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The viz should include the following interactive features if time allows
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* Filters
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* Tooltips
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* Drill-down ability
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* Export the data
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* Animation
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## Modeling
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The viz should include the following modeling techniques if time allows
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* Clustering
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* Trend and Forecasting
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* Regression & Correlation
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* Percentiles
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* Natural Language Processing
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* Reference Lines
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## Wireframe
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This is the wireframe that the team has been given to replicate in python using any technique they wish to use.
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## Time Investment
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* **5 min** ETL
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* initial creation(modified personal file)
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* **5 min** settings.py
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* 5 minute (modified personal file)
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* **20 min** setup initial layout.html, index, and first two "story".html pages
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* found decent bootstrap layout template online
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* first time following the Flask Active button tutorial
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* http://jinja.pocoo.org/docs/2.9/tricks/
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* **10 min** setup heroku repo and build environment
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* **30 min** debug initial heroku deployment
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