Retrieving and Visualizing Data Charles Severance Python for Everybody

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Presentation transcript:

Retrieving and Visualizing Data Charles Severance Python for Everybody

Multi-Step Data Analysis Gather Analyze Visualize Clean/Process (5, 1.0, 0.985, 3, u' (3, 1.0, 2.135, 4, u' (1, 1.0, 0.659, 2, u' (1, 1.0, 0.659, 5, u' Data Source

Many Data Mining Technologies

"Personal Data Mining" Our goal is to make you better programmers – not to make you data mining experts

GeoData Makes a Google Map from user entered data Uses the Google Geodata API Caches data in a database to avoid rate limiting and allow restarting Visualized in a browser using the Google Maps API

geodata.sqlite geoload.py geodump.py Northeastern University,... Boston, MA 02115, USA Bradley University, Peoria, IL 61625, USA Technion, Viazman 87, Kesalsaba, 32000, Israel Monash University Clayton... VIC 3800, Australia Kokshetau, Kazakhstan records written to where.js Open where.html to view the data in a browser Google geodata where.data where.js where.html

Page Rank Write a simple web page crawler Compute a simple version of Google's Page Rank algorithm Visualize the resulting network

Search Engine Architecture Web Crawling Index Building Searching

A Web crawler is a computer program that browses the World Wide Web in a methodical, automated manner. Web crawlers are mainly used to create a copy of all the visited pages for later processing by a search engine that will index the downloaded pages to provide fast searches. Web Crawler

Web Crawler Retrieve a page Look through the page for links Add the links to a list of “to be retrieved” sites Repeat...

Web Crawling Policy a selection policy that states which pages to download, a re-visit policy that states when to check for changes to the pages, a politeness policy that states how to avoid overloading Web sites, and a parallelization policy that states how to coordinate distributed Web crawlers

robots.txt A way for a web site to communicate with web crawlers An informal and voluntary standard Sometimes folks make a “Spider Trap” to catch “bad” spiders User-agent: * Disallow: /cgi-bin/ Disallow: /images/ Disallow: /tmp/ Disallow: /private/

Google Architecture Web Crawling Index Building Searching

Search engine indexing collects, parses, and stores data to facilitate fast and accurate information retrieval. The purpose of storing an index is to optimize speed and performance in finding relevant documents for a search query. Without an index, the search engine would scan every document in the corpus, which would require considerable time and computing power. Search Indexing

spider.sqlite spider.py spdump.py (5, None, 1.0, 3, u' (3, None, 1.0, 4, u' (1, None, 1.0, 2, u' (1, None, 1.0, 5, u' 4 rows. The Web force.js force.html d3.js spreset.py sprank.py spjson.py

Mailing Lists - Gmane Crawl the archive of a mailing list Do some analysis / cleanup Visualize the data as word cloud and lines

Warning: This Dataset is > 1GB Do not just point this application at gmane.org and let it run There is no rate limits – these are cool folks Use this for your testing:

content.sqlite gmane.py How many to dump? 5 Loaded messages= subjects= senders= 1584 Top 5 list participants mbox.dr-chuck.net gword.js gword.htm d3.js gword.py gmodel.py gbasic.py gline.js gline.htm d3.js gline.py content.sqlite

Acknowledgements / Contributions Thes slide are Copyright Charles R. Severance ( chuck.com) of the University of Michigan School of Information and open.umich.edu and made available under a Creative Commons Attribution 4.0 License. Please maintain this last slide in all copies of the document to comply with the attribution requirements of the license. If you make a change, feel free to add your name and organization to the list of contributors on this page as you republish the materials. chuck.comopen.umich.edu Initial Development: Charles Severance, University of Michigan School of Information … Insert new Contributors here...