JAVA CODING:

A data file (NetflixUSA_Oct15_cleaned.txt) is included on eLearn that lists about 10,500 items from a totally hypothetical media streaming service. Each line is formatted like this: Title (Year) |1 Average User Rating, Length The length is expressed in a format like 53m or 1hr 47m for a movie, or in a number of episodes/seasons/volumes/etc. for a series. Note that for this assignment, we will assume that a "movie" is anything that's not a series. This includes things like documentaries, comedy specials, etc. In case you're curious, the file lists all of Netflix's USA offerings as of Oct. 15, 2012. If you're wondering why this isn't more recent, it's surprisingly difficult to find a plain text file of Netflix's current offerings. The older data is a bit more interesting anyway, since Netflix recently abolished their star rating system in favor of a simpler "thumbs-up, thumbs-down" system The Assignment In this project you'll be writing some software that parses (reads) the data file and allows the user to apply and remove filters to customize the results. That should make it easier to pick from the huge selection of options available! For example, the user may want to see a list of all the TV series after 1999 that are rated higher than 4.0 stars. This would be expressed using the following three filters: 1. 2. 3. genre -series year > 1999 rating> 4.0 A data file (NetflixUSA_Oct15_cleaned.txt) is included on eLearn that lists about 10,500 items from a totally hypothetical media streaming service. Each line is formatted like this: Title (Year) |1 Average User Rating, Length The length is expressed in a format like 53m or 1hr 47m for a movie, or in a number of episodes/seasons/volumes/etc. for a series. Note that for this assignment, we will assume that a "movie" is anything that's not a series. This includes things like documentaries, comedy specials, etc. In case you're curious, the file lists all of Netflix's USA offerings as of Oct. 15, 2012. If you're wondering why this isn't more recent, it's surprisingly difficult to find a plain text file of Netflix's current offerings. The older data is a bit more interesting anyway, since Netflix recently abolished their star rating system in favor of a simpler "thumbs-up, thumbs-down" system The Assignment In this project you'll be writing some software that parses (reads) the data file and allows the user to apply and remove filters to customize the results. That should make it easier to pick from the huge selection of options available! For example, the user may want to see a list of all the TV series after 1999 that are rated higher than 4.0 stars. This would be expressed using the following three filters: 1. 2. 3. genre -series year > 1999 rating> 4.0