Editing DS4UX (Spring 2016)/Day 6 coding challenge

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Each of the challenges this week are related to the [[DS4UX_(Spring_2016)/Panama Papers|Panama Papers project]] which you should have installed and begun working with in class.
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This week, you will be required to attempt the first 5 challenges in this list using Python and the <code>requests</code> module to gather data from APIs. You must upload your solution scripts via Canvas before class. You will NOT be graded on whether your solutions are correct, efficient, or even functional—just on whether you turn in an attempt at a solution that shows you tried. You WILL be marked down if you don't submit your solutions—so be sure to spend time attempting these challenges!
This week, you will be required to attempt the first 5 challenges in this list using Python and the <code>requests</code> module to gather data from APIs. You must upload your solution scripts via Canvas before class. You will NOT be graded on whether your solutions are correct, efficient, or even functional—just on whether you turn in an attempt at a solution that shows you tried. You WILL be marked down if you don't submit your solutions—so be sure to spend time attempting these challenges!
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:1. Which editor has made the total most edits to the article ''[[w:Panama_Papers| Panama Papers]]'' so far?
:1. Who made the total most edits to the article ''[[w:Panama_Papers| Panama Papers]]''?
:2. How many edits per day did Panama Papers receive, on average, in its first two weeks?
:2. What’s the number of edits per day in the first two weeks of the article's existence?
:3. What hour in the first two weeks had the highest number of edits?
:3. What’s the peak number of edits per hour of the article? When did it occur?
:4. Who were the top 3 editors during that hour?
:4. Who were the top editors during that hour?
:5. What day in the first two weeks had the most views?
:5. What day did ''Pentagon Papers'' have the most views, and how many views did it have?




;Bonus challenges
;Bonus challenges
:6. Write a script that generates daily edit and view counts for Panama Papers over its first 30 days of existence, and prints them to a CSV or TSV file in reverse-chronological order. You file should have three colums with the headers "date", "edits" and "views".
:7. Write a script that generates daily page view counts for Panama Papers, broken down by desktop and mobile (app + web) access methods over its first 30 days of existence, output them to a CSV file that you can open in Excel or a similar spreadsheet program, and use your data to create a graph of pagesviews by access method over time. Make sure your graph [http://www2.cs.uregina.ca/~rbm/cs100/notes/spreadsheets/tufte_paper.html follows sound information design principles]!
:8. Write a script that generates daily page view counts for Panama Papers on German (de.wikipedia.org), English (en.wikipedia.org), and Spanish (es.wikipedia.org) Wikipedias. Output your results to CSV and graph them per the instructions for Challenge #6 above.
::Hint: the title of this article is in English across all three Wikipedias.
=== Solutions ===
<big>'''[https://jtmorgan.net/ds4ux/week6/panama-papers-solutions.zip Click here to download the solutions to this week's coding challenges]'''</big>


[[Category:DS4UX (Spring 2016)]]
:6. How many views does it have per day, on average?</li>
:7. How many views did it have per day on German Wikipedia?</li>
:8. Who’s the person named in the Panama papers with the most views to their Wikipedia page?
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