# pyDataVizDay A python implementation of the Data Viz Day visualization. ## Dataset This project will be using the Kaggle [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 ### first 5 rows of data | | 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 | |----|---------|-------------------|--------------------------|------------|---------------------------|--------------------------|------------------|--------------------------|---------------|---------------------------------|-----------------|--------------------------------------------|-------------------|-----------------------------|----------------------|------------------------|------------------------------------------------------------------|------------------------------------------------------|------------------------|------------|-----------|------------------|------------|--------------|--------------------------|--------------|----------------|------------------------| | 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 | | 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 | ## Interactivity The viz should include the following interactive features if time allows * Filters * Tooltips * Drill-down ability * Export the data * Animation ## Modeling The viz should include the following modeling techniques if time allows * Clustering * Trend and Forecasting * Regression & Correlation * Percentiles * Natural Language Processing * Reference Lines ## Wireframe This is the wireframe that the team has been given to replicate in python using any technique they wish to use. ![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/