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Hello! I need help with the following python assignment. Thanks so much! Any type of help would be appreciated. To obtain the file go to
Hello! I need help with the following python assignment. Thanks so much! Any type of help would be appreciated. To obtain the file go to http://grouplens.org/datasets/hetrec-2011/ and download the file hetrec2011- lastfm-2k.zip (unzipping this file will give you what you need). If you need anything else, let me know in the comments!
This should be the expected output:
Project specification: For this project, you will analyze data from the on-line music service, last.fm. Specifically, we will use a dataset that was released as part of the HetRec Workshop at the 2011 ACM Conference on Recommender Systems. A zip file containing the data is made available by the Grouplens research team at the University of Minnesota. To download it, go to the page: http://grouplens.org/datasets/hetrec-2011/ and download the file: hetrec2011-lastfm-2k.zip Unzip the file and you should get a folder with 7 items Filename artists.dat Notes This file contains artist ids, artist names, and other information such as URLs for artists on the last.fm site Important notes about the dataset and file structures This file contains lines that describe how many times a user has played songs by an artist. It contains lines with user ids (uid), artist ids (aid), and the number of times the user has played a song by that artist (weight) You will need this file for question #6 You will need this file for question #8 You may not need this file for this projedct readme.txt user artists.dat user friends.dat user taggedartists.dat tags.dat user taggedartists timestamps.daYou may not need this file for this project. This dataset is just a sampling of data from last.fm, but it is a good example of the type of real-world data that data analysts work with. Here are a few stats about the data files: there are 1892 user ids and 17,632 artists. There are 92,834 user -artist relationships, and 25,434 friend relationships Data Analysis and Specific Queries To analyze this data, you will answer a specific set of questions (queries) given below. For each query clearly comment the section of your code that addresses the question, and in your comments, provide a brief description of the approach that you took. Implement functions as appropriate There is no "user interface" for this project. I will run your program and it should produce output all at once for the questions below In your output for each question, print A blank line Another blank line A line with the question number and the brief description of the question (shown in italics below) Then print the output for that question. Project specification: For this project, you will analyze data from the on-line music service, last.fm. Specifically, we will use a dataset that was released as part of the HetRec Workshop at the 2011 ACM Conference on Recommender Systems. A zip file containing the data is made available by the Grouplens research team at the University of Minnesota. To download it, go to the page: http://grouplens.org/datasets/hetrec-2011/ and download the file: hetrec2011-lastfm-2k.zip Unzip the file and you should get a folder with 7 items Filename artists.dat Notes This file contains artist ids, artist names, and other information such as URLs for artists on the last.fm site Important notes about the dataset and file structures This file contains lines that describe how many times a user has played songs by an artist. It contains lines with user ids (uid), artist ids (aid), and the number of times the user has played a song by that artist (weight) You will need this file for question #6 You will need this file for question #8 You may not need this file for this projedct readme.txt user artists.dat user friends.dat user taggedartists.dat tags.dat user taggedartists timestamps.daYou may not need this file for this project. This dataset is just a sampling of data from last.fm, but it is a good example of the type of real-world data that data analysts work with. Here are a few stats about the data files: there are 1892 user ids and 17,632 artists. There are 92,834 user -artist relationships, and 25,434 friend relationships Data Analysis and Specific Queries To analyze this data, you will answer a specific set of questions (queries) given below. For each query clearly comment the section of your code that addresses the question, and in your comments, provide a brief description of the approach that you took. Implement functions as appropriate There is no "user interface" for this project. I will run your program and it should produce output all at once for the questions below In your output for each question, print A blank line Another blank line A line with the question number and the brief description of the question (shown in italics below) Then print the output for that
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