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    "## Case 02 - Movies\n",
    "\n",
    "Data relating to the distribution and projection of films in Portugal can be presented below:\n",
    "\n",
    "https://github.com/masterfloss/datamovies/blob/main/moviesPT3.xlsx?raw=true\n",
    "Additional information on films, including ratings, release date, can be obtained below:\n",
    "\n",
    "* https://raw.githubusercontent.com/masterfloss/datamovies/main/movies_ratings.tsv\n",
    "* https://datasets.imdbws.com/title.basics.tsv.gz \n",
    "\n",
    "The primary purpose is to predict the gross revenue obtained by a film by a year.\n",
    "\n"
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    "Suggestons: \n",
    "* Collect data \n",
    "* Merge all the datasets\n",
    "* Calculate several columns (e.g. time between exibition and exit, revenue by spectator)\n",
    "* What is the relationship between revenue and number of spectators? Why?\n",
    "* calculate a Model explaining the revenue, using as features runtimeMinutes, averageRating,number of sessions \t\n",
    "time between exibition and exit, revenue by spectator. Are all significant?\n",
    "* Improve the model\n",
    "* Use other algorithms\n",
    "\n",
    "note:\n",
    "dfdata=pd.read_csv('https://datasets.imdbws.com/title.basics.tsv.gz',compression='gzip',sep=\"\\t\")"
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