Have a look and let us know if you have any questions. Note proposals are due Thursday, April 4 by 3pm. Have a great Spring Break!
Resources page
I’m attempting to keep a running list of tools and resources mentioned in class over on the Resources page. Send me a note or post a comment here if you’d like to see something listed that isn’t currently. (Or put up a blog post about it!)
Onward! And do keep those blog posts coming. Priya got us off to a great start. If you have questions about blog post guidelines, look at the bottom of our Assignments page.
Introduction to R / Installation R Studio
For those of you who are new to the statistic program R, which we’re going to use in the Lab on Thursday, take a look at http://tryr.codeschool.com/, a free interactive introduction to R, similar to Codecademy.
Please also don’t forget to install RStudio before class (see Lab 3 page).
Readings for Tuesday
Just a heads-up to note that readings were posted for next week’s lecture. Tuesday 1/29 your Assignment 1s are due, then the following Tuesday 2/5 your first days of data for Assignment 4 are due. Probably a good idea to invest a little creative energy this weekend thinking about the kind of data you want to collect every day.
Some inspiration:
Tableau
As promised, here is some information about Tableau:
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- Download Tableau 7.0 from: http://www.tableausoftware.com/tft/activation
- On the landing page you’ll get to at the link above, fill out the form on the right hand side of the page. Under “Job Title”, mark Student; and under “Organization”, please input “UC Berkeley School of Information”.
- License Key: [highlight]Check your email[/highlight]
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You need to run Windows in order to use Tableau. If you own a Mac, you can you can get all the software needed to do this for free:
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- Oracle Virtual Box. This will essentially allow you to run Windows on your Mac.
- Get Windows from UC Berkeley Software Central
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In case you run into issues with your installation, [highlight]don’t hesitate to add a comment to this post[/highlight] so that anyone can help you out.
Lab 1 – Data: Preparations
To make sure we’re not wasting time installing applications during the lecture, please come prepared to the lab and install the following application:
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- Open Refine (formerly known as Google Refine)
If you work on a Mac with Mountain Lion and run into problems installing the app, the culprit is most likely the download restriction for apps from unknown developers. To run Google Refine you’ll have to temporarily disable the privacy protection (as described in this issue ticket).
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We’re also going to use the Google Spreadsheet app (part of Google Drive). In the unlikely case you haven’t already signed up for a Google account, please make sure you do so before the lecture.
If you run into any other problems installing the applications, please comment on this post so that others can avoid going through the same issues.
Class Mailing List
If you haven’t already, please sign up for the class mailing list:
I School Students
If you’re an I School student: subscribe via email to Majordomo by sending email to Majordomo@ischool.berkeley.edu with the following command in the body of your email message:
subscribe i247
Make sure to use your I School email. Alternatively you can subscribe via you intranet account (https://www.ischool.berkeley.edu/intranet/prefs/lists)
Students From Other Departments
If you’re a student from another department: send an email to Galen (gpanger@ischool) and he’s going to add you to the list.
Starting next week (that is, after the next class session) the mailing list is going to be where we send out reminders and announcements.
Welcome to INFO 247
Welcome to the class blog. This is where you will find announcements. Please have a look at the syllabus and schedule. We will keep the schedule updated as the semester progresses.