Difference between revisions of "Mobeen-big-data"
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| − | + | == Project title: MovieLens Data Sets == | |
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| − | == Project data set == | + | === 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. | *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 | *Link to data set: http://www.grouplens.org/node/12 | ||
| − | + | == Project Tasks == | |
=== 1. Identifying and downloading the target data set === | === 1. Identifying and downloading the target data set === | ||
*The downloaded data is on cluster at: /cluster/home/mmludin08/Big-Data-M | *The downloaded data is on cluster at: /cluster/home/mmludin08/Big-Data-M | ||
Revision as of 08:36, 14 December 2011
Contents
- 1 Project title: MovieLens Data Sets
- 2 Project Tasks
- 2.1 1. Identifying and downloading the target data set
- 2.2 2. Data cleaning and per-processing
- 2.3 3. Load the data into your Postgres instance
- 2.4 4. Develop queries to explore your ideas in the data
- 2.5 5. Develop and document the model function you are exploring in the data
- 2.6 6. Develop a visualization to show the model/patterns in the data
Project title: MovieLens Data Sets
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
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
