Q1. Genre count
- We need know how many movies falls into each genre.
- Input file : movie.dat
- Output : <# of movies>
- Example
| genre | count |
|---|---|
| Thriller | 182 |
| Romance | 108 |
| Children’s | 58 |
Q2. Trips & Vehicles
- We need know the number of trips and active vehicles per day and region.
- Input file : uber.dat
- Output : <region,day> <trips,vehicles>
| region | day | trips | vehicles |
|---|---|---|---|
| B02512 | MON | 1922 | 122 |
| B02512 | TUE | 2200 | 451 |
| B02512 | WED | 1200 | 251 |
| B02512 | THR | 1510 | 348 |
| B02512 | FRI | 1749 | 388 |
| B02512 | SAT | 2324 | 611 |
| B02512 | SUN | 2467 | 671 |
Q1. Top -k movies
- We need find k fantasy movies whose avg. rating is high
- Input file : movies.dat & ratings.dat
- Output : <avg. rating>
- Example)
| movie name | avg |
|---|---|
| Jumanji (1995) | 4.8 |
Q2. Top -K category
- We need find k categories whose average rating is high.
- Input file : youtube.dat
- Output : category avg. rating
- Example)
| category | rating |
|---|---|
| Fantasy | 4.8999 |
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