in alphabetical order
- Spencer Cappiello
- Sarah Groff-Palermo
- Ansh Patel
- Rewant Prakash
- Tianyu Ren
- Francesca Socolick
- Anna Stassen
- Alexis Traviso
-
in alphabetical order Spencer Cappiello Sarah Groff-Palermo Ansh Patel Rewant Prakash Tianyu Ren Francesca Socolick Anna Stassen Alexis Traviso
+
+
+
+
+
+
-
Announcements No break in this session. Please feel free to get up and use the restroom and/or get refreshments as needed. Reminder: Final Grade Checklist, see below Lower Eastside Girls Club looking for mentors in web programming, physical computing, and Unity/3d/Planetarium programming Agenda 6:30-6:40 Announcements and Intros 6:40-7:05 Global Climate Change (Patrick &…
+
+
+
+
+
+
Announcements
- No break in this session. Please feel free to get up and use the restroom and/or get refreshments as needed.
- Reminder: Final Grade Checklist, see below
- Lower Eastside Girls Club looking for mentors in web programming, physical computing, and Unity/3d/Planetarium programming
Agenda
- 6:30-6:40 Announcements and Intros
- 6:40-7:05 Global Climate Change (Patrick & Neill)
- 7:05-7:30 Bangladesh Apparel Workers (Anneka)
- 7:30-7:55 Business Acquisitions (Sandra & Hovsep)
- 7:55-8:20 Voters & Elections (Sriya & Helen)
- 8:20-8:45 Prisons (Daniel)
- 8:45-9:10 How Smooth is Your Echo Chamber? (Sweta & Marijke)
- 9:10-9:20 Wrap-Up
Final Assignments
- Final presentations today! Be prepared to present for 10-20 minutes, followed by 10-20 minutes of Q&A. I will issue a preliminary final grade on Monday, December 14.
- Final Grade Checklist
- Final presentation
- URL to Interactive Visualization
- Slideshow + 800 word paper + MLA bibliography of 5 works or more
- 5 blog posts. If you have any unexcused absences, be sure to write an expanded post(s). Posts can include
- Timeline.js experiments
- Persona Design exercise and human-centered design
- QGIS and threejs exercise
- Your email about your final project (please post this to make it easier for me)
- R exercise
- Any physical computing experiments
- Any other technical exercises
- Any reflections on class and/or our guest speakers
- Final Grades will be issued on December 21. You will have about a week to update your work between Dec 14 and Dec 21.
-
Are there significantly more appearances of X-Men or Avengers characters in the Marvel Universe? Well, we haven’t quite answered the question, but this data and script play with the topic. Links and notes below: marvel0_modified.csv Notes: This csv contains data on the first 100 characters from the Marvel API (thanks…
+
+
+
+
+
+
Are there significantly more appearances of X-Men or Avengers characters in the Marvel Universe? Well, we haven’t quite answered the question, but this data and script play with the topic. Links and notes below:
- marvel0_modified.csv
- Notes: This csv contains data on the first 100 characters from the Marvel API (thanks Sweta). Because the column names are difficult to parse (in that the special charater “/” is frequently used), I modified the 11th column name from “comics/items/0/name” to “firstcomicname.”
- Marvel.R
- If you run the entire script in R, you’ll see a comparison between characters classified as X-Men and characters classified as Avengers. I used a rough classification:
- xmen = characters whose firstcomicname contains “X-Men”
- avengers = characters whose firstcomicname contains “Avengers”
- If you run the entire script in R, you’ll see a comparison between characters classified as X-Men and characters classified as Avengers. I used a rough classification:
I hope you can use this script to help form your own analyses for your final datasets!
- marvel0_modified.csv
-
Announcements Please fill out now: potluck and +1s Final Grade Checklist, see below For screen-based projects: Research Science Knowledgebase: Analysis For tangible projects: Human-Centered Design Kit Looking for hardcore movie fans Agenda 6:30-6:45 Announcements and Updates 6:45-8:45 One-on-one sessions Tania van Bergen: General Storytelling Feedback Arlene: focus on Context/Analysis requirements, answers…
+
+
+
+
+
+
Announcements
- Please fill out now: potluck and +1s
- Final Grade Checklist, see below
- For screen-based projects:
- For tangible projects:
- Looking for hardcore movie fans
Agenda
- 6:30-6:45 Announcements and Updates
- 6:45-8:45 One-on-one sessions
- Tania van Bergen: General Storytelling Feedback
- Arlene: focus on Context/Analysis requirements, answers for any remaining questions
- 8:45 Class Evaluations
Final Assignments
- Final presentations on December 10! I will post the order of presentations this weekend. Be prepared to present for 10-20 minutes, followed by 10-20 minutes of Q&A. I will issue a preliminary final grade on December 14.
- Final Grade Checklist
- Final presentation + Interactive Visualization
- Slideshow + 800 word paper + MLA bibliography of 5 works or more
- 5 blog posts. If you have any unexcused absences, be sure to write an expanded post(s). Posts can include
- Timeline.js experiments
- Persona Design exercise and human-centered design
- QGIS and threejs exercise
- Your email about your final project (please post this to make it easier for me)
- R exercise
- Any physical computing experiments
- Any other technical exercises
- Any reflections on class and/or our guest speakers
- Final Grades will be issued on December 21. You will have about a week to update your work between Dec 14 and Dec 21.
-
Announcements Kevin Miklasz sent a few more R notes. Final Requirements are now posted. Let me know if you have questions. Dec 3’s class will have a lot of work/feedback time in preparation for Dec 10. If you want to follow-along with today’s Arduino/Processing visualization tutorial, install the software listed…
+
+
+
+
+
+
Announcements
- Kevin Miklasz sent a few more R notes.
- Final Requirements are now posted. Let me know if you have questions. Dec 3’s class will have a lot of work/feedback time in preparation for Dec 10.
- If you want to follow-along with today’s Arduino/Processing visualization tutorial, install the software listed on the tutorial page.
Agenda
- 6:30-7:20 Richard The
- 7:20-8:10 Peiqi Su
- 8:10-8:20 Break. Start Playing with Prototypes.
- 8:20-8:50 Prototype playtime.
- 8:50-9:20 Class updates
Links
Assignment for Next Week
- Due Monday: Send me a SHORT (2-sentence) e-mail about your final plans. I will respond with some quick thoughts on Monday as well.
- Due Dec 3: Start your final project preparations and post your progress.
-
From our R expert (R-xpert?) Kevin Miklasz. Thanks Kevin! Here is a link to an expanded sample file that shows some common functions I use, and is mostly focused on some graphing parameters I use a lot (at the bottom of the script). None of the graphing functions will work as…
+
+
+
+
+
+
From our R expert (R-xpert?) Kevin Miklasz. Thanks Kevin!
Here is a link to an expanded sample file that shows some common functions I use, and is mostly focused on some graphing parameters I use a lot (at the bottom of the script). None of the graphing functions will work as they use data sets that I can’t share, but students can at least see some common graphing parameters that can be adjusted and reuse bits of the code in their own visualizations. Also including a list of preloaded R colors, and this image shows how the pch values in plots corresponds to different shapes.I might have come down a little too hard on p values yesterday. They are still useful, and you should definitely test for p-values. But your process should look a bit like this:- Is there a significant p-value? If yes, go on
- Do you have a large sample size? If no, you’re good with the p value! If yes, go on.
- So the difference is significant, but is it meaningful? Is there an external measure for meaningfulness that you can use? Or can you shift to a data mining approach that can use cross-validation? It’s definitely ok to explore your data initially with correlation tests and t-tests, but before making a strong claim that there’s some real pattern in your data, you probably want to do some analysis beyond just finding a significant p value. P values should sort of be “necessary but not sufficient” kind of thing.
-
For this week’s class, you can experiment visualizing a Twitter livestream by connecting Peiqi Su’s penis modules and other output device, to an Arduino. I’ve included sample code below and will expand this tutorial for those who are interested. The tutorial will assume basic understanding of Arduino and Processing, particularly installing libraries…
+
+
+
+
+
+
For this week’s class, you can experiment visualizing a Twitter livestream by connecting Peiqi Su’s penis modules and other output device, to an Arduino. I’ve included sample code below and will expand this tutorial for those who are interested. The tutorial will assume basic understanding of Arduino and Processing, particularly installing libraries and differentiating between digital and analog signals.
Software
- Arduino
- Processing
- Temboo and Twitter4j libraries for Processing (download them zipped together here)
Set up dev accounts with
- Twitter.
- (optional) Temboo. It’s not necessary to use Temboo for this tutorial, especially since free accounts are capped at 500 API calls a month, but it’s an interesting service to look at because it generates Arduino Yun/wifi code (called “Choreos”) for many APIs including Socrata.
Sample Files
- Arduino Code: ReceiveFromProcessing
- Processing Code: Twitter4jTest. Be sure to replace the placeholder authentication strings with the access keys from your own Twitter account!
- (optional) Processing Code: TwitterTemboo. Be sure to replace the authentication placeholders!
Original Tutorials
-
Announcements Global Action Project seeks a Media History Timeline Coordinator to use Timeline.js with youth, as well as an Immigrant Video Youth coordinator. To start immediately! If you haven’t already, Install R. Download this sample stats file. Final Requirements are now posted. Let me know if you have questions. Agenda 6:30-7:30 Rafi Santos,…
+
+
+
+
+
+
Announcements
- Global Action Project seeks a Media History Timeline Coordinator to use Timeline.js with youth, as well as an Immigrant Video Youth coordinator. To start immediately!
- If you haven’t already, Install R. Download this sample stats file.
- Final Requirements are now posted. Let me know if you have questions.
Agenda
- 6:30-7:30 Rafi Santos, Indiana University / Mozilla Hive Research Lab
- 7:30-8:30 Kevin Miklasz: Stats Tutorial with R
- 8:30-8:40 Break
- 8:40-9:20 Class Updates
Links
Mozilla Hive Visualizations: click on each image for a full-sized view.
Assignment for Next Week
- Using R, try simple analysis on a dataset you might use for your final. Don’t worry if you run into issues; just do what you can and write up a post about it.
- If you have any physical computing kits (ie Arduino), bring them in to use next week. If you don’t, no problem, I’ll have extras.
- Keep thinking and preparing for your final project. All assignments after this week will be related to the final.
-
Final, due December 10 Note: Evaluation keywords are highlighted in orange. Develop an interactive visualization(s) of a significant dataset for a general audience with no previous knowledge of the data. If the visualization is online, it should be deployed on a standalone web page—do not use code playgrounds like JSFiddle or Codepen.…
+
+
+
+
+
+
Final, due December 10
Note: Evaluation keywords are highlighted in orange.
- Develop an interactive visualization(s) of a significant dataset for a general audience with no previous knowledge of the data. If the visualization is online, it should be deployed on a standalone web page—do not use code playgrounds like JSFiddle or Codepen. The visualization should employ introductory text and titles as well as keys, colors, annotations, and any other other information needed for a user to understand the vis.
- Include a background write-up (at least 800 words on your blog is fine) with an MLA-formatted bibliography containing at least 5 scholarly articles. Be sure to address the following points in the write-up. I will evaluate your project based on these points:
- NEW FOR THE FINAL:
- If your vis uses the same data from the midterm, how is it an expansion on the work you did for the midterm? Is the expansion significant?
- If your vis is screen-based, how did you conduct a simple statistical analysis on the data? Please calculate and discuss basic values including mean, min/max, range, and correlation. If applicable, also discuss significance and t-test results, etc.
- If your vis is tangible, how did you conduct a persona design exercise to envision interaction scenarios for the system? (Alternatively, you can use other ideation exercises.)
- How is your overall visualization significant, unique, and relevant to general audiences?
- What is the data source? How is it significant?
- What questions does your visualization help answer? What is the best medium for this representation? (i.e. poster, model, web page)
- Please discuss prior work, prototypes, or sketches for your visualization. It can be both others’ work (please cite them in your bibliography) and/or your own work. How have these predecessors refined your work for this project?
- What is the subset of the general audience that could especially use or appreciate your visualization?
- How is your visualization implemented? What technologies does it use?
- How is your visualization meant to be used? What are the steps for a user to interact with your vis?
- Future Work: What are the next steps for refining this project?
- NEW FOR THE FINAL:
- Create a slidedeck (of at least 9 slides) that explains the content in your write-up.
- Be prepared to give a 10-20 minute presentation of your slides and your visualization, followed by 10-20 minutes of Q&A.
-
Announcements Download QGIS and (from QGIS) QGIS2threejs http://www.datasociety.net/ Obfuscation: A User’s Guide for Privacy and Protest Agenda 6:30-7:30 Austin Lee, CMU/Microsoft 7:30-8:00 Class updates 8:00-8:10 Break 8:10-9:20 MindRider, QGIS, three.js Links 3D GIS Examples MindRider 3D data visualizations: test01 (just downtown) test02 (all of Manhattan) test03 (just downtown, with color-coded buildings) test04 (downtown with attention-meditation data)…
+
+
+
+
+
+
Announcements
- Download QGIS and (from QGIS) QGIS2threejs
- http://www.datasociety.net/
- Obfuscation: A User’s Guide for Privacy and Protest
Agenda
6:30-7:30 Austin Lee, CMU/Microsoft7:30-8:00 Class updates8:00-8:10 Break8:10-9:20 MindRider, QGIS, three.js
Links
3D GIS Examples- MindRider 3D data visualizations:
test01 (just downtown)test02 (all of Manhattan)test03 (just downtown, with color-coded buildings)test04 (downtown with attention-meditation data)
test05 (all of Manhattan with attention-meditation data)
mindrider_sampledata (with 10% of the original points) -
3D Vis of Manhattan (includes tutorial comments)
-
3D Vis of Vienna (includes tutorial)
Data and Tutorials- Tutorial: MindRider in 3D
- Tutorial: MindRider simple QGIS analysis, by Jennifer Sta. Ines (download data here)
QGIS Tips- QGIS: cropping shapefiles
- QGIS: tutorial for creating polygon layers
- QGIS: importing delimited text files (but don’t process them in Excel!)
- Deleting every Xth line in a text file
Other WebGL libraries- three.js (book, more examples)
- babylon.js
- philoGL
- 03D
- GLGE
- J3D
Assignment for Next Week
- Finish one of today’s visualization exercises or start your own. Some ideas:
- Visualize the provided MindRider data with 3D buildings.
- VIsualize 3D buildings with another point-based dataset from NYC Open Data.
- Use the QGIS2threejs documentation to visualize a Digital Elevation Model (DEM).
- Use Jennifer Sta. Ines’s tutorial to conduct a simple statistical analysis in QGIS.
- Finals are due in about a month. The requirements will be similar to midterms, with a possible simple analysis component. Start thinking about it!
- Install R in preparation for next week’s class. Download this sample stats file.
