IMDB movies data           package:ggplot           R Documentation

_M_o_v_i_e _i_n_f_o_r_m_a_t_i_o_n _a_n_d _u_s_e_r _r_a_t_i_n_g_s _f_r_o_m _I_M_D_B._c_o_m

_D_e_s_c_r_i_p_t_i_o_n:

     The internet movie database, \href{http://imdb.com/}{imdb.com}, is
     a website devoted to collecting movie data supplied by studios and
     fans.  It claims to be the biggest movie database on the web and
     is run by amazon.  More about information imdb.com can be found
     \href{http://imdb.com/help/show_leaf?about}{online}, including
     information about the
     \href{http://imdb.com/help/show_leaf?infosource}{data collection
     process}.

     IMDB makes their \href{http://uk.imdb.com/interfaces/}{raw data
     available}. Unfortunately, the data is divided into many text
     files and the format of each file differs slightly.  To create one
     data file containing all the desired information I wrote a script
     in the \href{http://ruby-lang.org}{ruby} to extract the relevent
     information and store in a database.  This data was then exported
     into csv for easy import into many programs.

     The following text files were downloaded and used:

     \begin{itemize}

     *  business.list. Total budget

     *  genres.list.  Genres that a movie belongs to (eg. comedy and
        action)

     *  movies.list.  Master list of all movie titles with year of
        production.

     *  mpaa-ratings-reasons.list.  MPAA ratings.

     *  ratings.list.  IMDB fan ratings.

     *  running-times.list.  Movie length in minutes. \end{itemize}

        Movies were selected for inclusion if they had a known length
        and had been rated by at least one imdb user.  The csv file
        contains the following fields:

        \begin{itemize}

     *  title.  Title of the movie.

     *  year.  Year of release.

     *  budget.  Total budget (if known) in US dollars

     *  length.  Length in minutes.

     *  rating.  Average IMDB user rating.

     *  votes.  Number of IMDB users who rated this movie.

     *  r1-10.  Multiplying by ten gives percentile (to nearest 10%) of
        users who rated this movie a 1.

     *  mpaa.  MPAA rating.

     *  action, animation, comedy, drama, documentary, romance, short. 
        Binary variables representing if movie was classified as
        belonging to that genre. \end{itemize}

_U_s_a_g_e:

     data(movies)

_F_o_r_m_a_t:

     A data frame with 28819 rows and 24 variables

_R_e_f_e_r_e_n_c_e_s:

     <URL: http://had.co.nz/data/movies/>

