Mobeen-big-data

MovieLens Data Sets Project

Project data set

• This data set contains 10000054 ratings and 95580 tags applied to 10681 movies by 71567 users of the online movie recommender service MovieLens.
• Link to data set: http://www.grouplens.org/node/12

Project Tasks

1. Identifying and downloading the target data set

• The downloaded data is on cluster at: /cluster/home/mmludin08/Big-Data-M

The Big-Data-M contains the follwing directories and files:

• Directories:

# Backupfiles: The Backupfiles directory contains the data set that was downloaded from Movielens.

# Clean_Data: The Clean_Data directory has all the data files that were formated by using the perl/python scripts.

# Q_results: The Q_results directory has

1. Scripts

• Files: bigdata.sql movies.csv ratings.csv tags.csv

2. Data cleaning and per-processing

• The original data was in the .dat format. one perl script and a python script was written to change the formate and clean the data.

3. Load the data into your Postgres instance

• After the cleaning the data was uploaded to cluster and laptop machine.

4. Develop queries to explore your ideas in the data

• SQL statements with results are on cluster: /cluster/home/mmludin08/Big-Data-M

5. Develop and document the model function you are exploring in the data

• For this project my aim was to discover the movie genres time line. In more words, I wanted to find out at what period of time people watch what type of movies. I also tried to look for the pattern

6. Develop a visualization to show the model/patterns in the data

Tech Details

• Node: as7
• Path to storage space: /scratch/big-data/mobeen

Results

• The visualization(s)
• The story