Visualizations - Revision history

Charliepeck: /* Assignments */

2012-12-05T16:12:24Z

Assignments

← Older revision		Revision as of 16:12, 5 December 2012
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	* [[student-solutions\|Student Solutions]]		* [[student-solutions\|Student Solutions]]

	==== 16) Course Reflection =====		==== 16) Course Reflection ====
	In addition to the standard evaluation form please reflect for a bit and write-up a short bit that addresses these questions.		In addition to the standard evaluation form please reflect for a bit and write-up a short bit that addresses these questions.
	* How did the course compare to your expectations of the course?		* How did the course compare to your expectations of the course?
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	* What do we need to "package" so that other students or faculty could gain from what we've done?		* What do we need to "package" so that other students or faculty could gain from what we've done?
	* What's the best format for delivering this material? In-situ for a class or classes? 1 credit class, etc. On-demand sessions?		* What's the best format for delivering this material? In-situ for a class or classes? 1 credit class, etc. On-demand sessions?

			Please turn this in with your course evaluation form to the envelope in Bobbi's office before the end of the day on Tuesday 11 December.

	==== 15) Third Visualization Project ====		==== 15) Third Visualization Project ====

Charliepeck: /* Assignments */

2012-12-05T16:11:07Z

Assignments

← Older revision		Revision as of 16:11, 5 December 2012
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	==== 16) Course Reflection =====		==== 16) Course Reflection =====
	How did the course compare to your expectations of the course?~~, what~~ did you find most interesting/useful?~~, what~~ do we need to "package" so that other students or faculty could gain from what we've done? What's the best format for delivering this material? In-situ? 1 credit class, etc.		In addition to the standard evaluation form please reflect for a bit and write-up a short bit that addresses these questions.
			* How did the course compare to your expectations of the course?
			* What did you find most interesting/useful? Least interesting/useful?
			* What do we need to "package" so that other students or faculty could gain from what we've done?
			* What's the best format for delivering this material? In-situ for a class or classes? 1 credit class, etc. On-demand sessions?

	==== 15) Third Visualization Project ====		==== 15) Third Visualization Project ====

Charliepeck: /* Assignments */

2012-12-04T13:27:22Z

Assignments

← Older revision		Revision as of 13:27, 4 December 2012
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	* [[student-solutions\|Student Solutions]]		* [[student-solutions\|Student Solutions]]

			==== 16) Course Reflection =====
			How did the course compare to your expectations of the course?, what did you find most interesting/useful?, what do we need to "package" so that other students or faculty could gain from what we've done? What's the best format for delivering this material? In-situ? 1 credit class, etc.

	==== 15) Third Visualization Project ====		==== 15) Third Visualization Project ====

Charliepeck: /* Assignments */

2012-11-28T23:18:06Z

Assignments

← Older revision		Revision as of 23:18, 28 November 2012
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	* [[student-solutions\|Student Solutions]]		* [[student-solutions\|Student Solutions]]

			==== 15) Third Visualization Project ====
			Find a story and build a visualization to support it. You may choose the data sets, although you must incorporate at least three. You can choose to analyze/visualize one variable over multiple data sets or multiple variables over multiple data sets, include geocoding or not, etc. Find the common thread(s) that tie your data sets together and tells the story you want to tell.

			Work in pairs:
			* Mobeen and Ivan
			* Dee and Leif
			* Emily and Tristan
			* Ryan and Elena
			* Mikel and Alex

			Use one or more of these toolchains:
			* R
			* gnuplot

			Write-up a plan for your work, include a short description of the story you are telling, the specific data sets employed, and a sketch of the visualization. This is due in class on Tuesday 4 December. Please bring a printout of your plan to class. Come to class on Thursday 29 November with questions, ideas, etc.

			The final visualization (PDF, etc. and script(s)) is due in class on Thursday 6 December. Come to class prepared to give a crisp (< 8 minute) presentation about your visualization. We will be advertising this class session to science students and faculty and encouraging them to attend by bribing them with free pizza.

	==== 14) Second Visualization Project Redux ====		==== 14) Second Visualization Project Redux ====

Charliepeck: /* Assignments */

2012-11-13T14:18:39Z

Assignments

← Older revision		Revision as of 14:18, 13 November 2012
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	* [[student-solutions\|Student Solutions]]		* [[student-solutions\|Student Solutions]]

			==== 14) Second Visualization Project Redux ====
			Take the feedback you received on Tuesday morning and working with your partner improve your ice core data set visualization. Due in class on Thursday 15 November. Remember to upload your modified script and PDF, PNG, etc. to the wiki.

	==== 13) Second Visualization Project ====		==== 13) Second Visualization Project ====

Charliepeck: /* 13) Second Visualization Project */

2012-11-05T10:41:37Z

13) Second Visualization Project

← Older revision		Revision as of 10:41, 5 November 2012
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	* gnuplot		* gnuplot

	Write-up a plan for your work, include a short description of the story you are telling, the specific data sets employed, and a sketch of the visualization. This is due in class on Tuesday 6 November.		Write-up a plan for your work, include a short description of the story you are telling, the specific data sets employed, and a sketch of the visualization. This is due in class on Tuesday 6 November. Please bring a printout of your plan to class.

	The final visualization (PDF, etc. and script(s)) is due in class on Tuesday 13 November. Come to class prepared to give a crisp (< 5 minute) presentation about your visualization.		The final visualization (PDF, etc. and script(s)) is due in class on Tuesday 13 November. Come to class prepared to give a crisp (< 5 minute) presentation about your visualization.

	==== 12a) gnuplot Redux ====		==== 12a) gnuplot Redux ====

Charliepeck at 12:43, 31 October 2012

2012-10-31T12:43:53Z

← Older revision		Revision as of 12:43, 31 October 2012
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	==== 12a) gnuplot Redux ====		==== 12a) gnuplot Redux ====
	Take the feedback you received on your gnuplot visualization and re-work it. Put the updated output and the script in the usual place appropriately labeled.		Take the feedback you received on your gnuplot visualization and re-work it. Put the updated output and the script in the usual place appropriately labeled. Due before the start of class on Tuesday 6 November.

	==== 12) Getting Started with gnuplot ====		==== 12) Getting Started with gnuplot ====

Charliepeck: /* Assignments */

2012-10-31T12:43:19Z

Assignments

← Older revision		Revision as of 12:43, 31 October 2012
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	The final visualization (PDF, etc. and script(s)) is due in class on Tuesday 13 November. Come to class prepared to give a crisp (< 5 minute) presentation about your visualization.		The final visualization (PDF, etc. and script(s)) is due in class on Tuesday 13 November. Come to class prepared to give a crisp (< 5 minute) presentation about your visualization.

			==== 12a) gnuplot Redux ====
			Take the feedback you received on your gnuplot visualization and re-work it. Put the updated output and the script in the usual place appropriately labeled.

	==== 12) Getting Started with gnuplot ====		==== 12) Getting Started with gnuplot ====

Charliepeck: /* Assignments */

2012-10-30T11:39:40Z

Assignments

← Older revision		Revision as of 11:39, 30 October 2012
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	* [[student-solutions\|Student Solutions]]		* [[student-solutions\|Student Solutions]]

			==== 13) Second Visualization Project ====
			Find a story and build a visualization to support it based on ice core data sets. There are many available, e.g. from multiple locations in Antarctica and other locations. These data sets typically contain depth, measurements of particulate matter, atmospheric chemical compositions, and various climate and date proxies. You can choose to analyze/visualize one variable over multiple locations or multiple variables over a single location. Include at least three dimensions, e.g. location on the earth, depth/date, and climate proxy, or depth/date, chemical marker, and climate proxy, etc.

			Work in pairs:
			* Mobeen and Mikel
			* Dee and Leif
			* Emily and Tristan
			* Ryan and Elena
			* Ivan and Alex

			Use one or more of these toolchains:
			* R
			* gnuplot

			Write-up a plan for your work, include a short description of the story you are telling, the specific data sets employed, and a sketch of the visualization. This is due in class on Tuesday 6 November.

			The final visualization (PDF, etc. and script(s)) is due in class on Tuesday 13 November. Come to class prepared to give a crisp (< 5 minute) presentation about your visualization.

	==== 12) Getting Started with gnuplot ====		==== 12) Getting Started with gnuplot ====

Charliepeck: /* Bread Crumbs */

2012-10-29T23:13:12Z

Bread Crumbs

← Older revision		Revision as of 23:13, 29 October 2012
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	* Tuesday 16 October		* Tuesday 16 October
	*# R tour		*# R tour

			* Thursday 18 October
			*# Mic and Charlie at the board meeting, class reviewed R stuff

			* Tuesday 23 October

			* Thursday 25 October

			* Tuesday 30 October
			*# Reviewed gnuplot lab, distributed [[second-viz-project\|Second Viz Project]]

	== Notes ==		== Notes ==
	[[fk-vizscidat-notes\|Mic and Charlie's notes]]		[[fk-vizscidat-notes\|Mic and Charlie's notes]]