class: left, bottom, title-slide .title[ # Module 5: Data Visualization ] .subtitle[ ## EME6356: Learning & Web Analytics ] .author[ ### Dr. Bret Staudt Willet ] .date[ ### March 1, 2023 ] --- class: inverse, center, middle #
**View the slides:** [bretsw.com/eme6356-ss23-module5](https://bretsw.com/eme6356-ss23-module5) --- #
Data Stories <img src="img/5-data-story7a.jpg" width="600px" style="display: block; margin: auto;" /> **"See suspicious activity at your school? Report it."** (Announcement from [Leon County Schools](https://www.leonschools.net/fortifyfl)) --- #
Data Stories <img src="img/5-data-story7b.jpg" width="600px" style="display: block; margin: auto;" /> **"See suspicious activity at your school? Report it."** (Announcement from [Leon County Schools](https://www.leonschools.net/fortifyfl)) --- class: inverse, center, middle #
<br> <br> Module 4 Discussion <br> Themes --- #
Optimism about analytics <img src="img/tools.jpg" width="540px" style="display: block; margin: auto;" /> -- **Use social media analytics to:** -- - Keep up-to-date with what is happening in the learning community -- - Understand trends --- #
Pessimism About Analytics <img src="img/caution.jpg" width="540px" style="display: block; margin: auto;" /> -- **Problems with using social media analytics:** -- - Understanding context beyond *digital traces* -- - Capturing the complexity of human behavior and learning -- - Raising all kinds of new ethical concerns (consent, spam, harassment) --- class: inverse, center, middle #
<br> <br> Module 4 Discussion <br> Final Thoughts? --- class: inverse, center, middle #
<br> <br> Module 5: <br> Data Visualization --- #
Data Stories ### Hurricane Cone of Uncertainty <img src="img/5-data-story1.jpg" width="600px" style="display: block; margin: auto;" /> --- #
Data Stories ### Hurricane Spaghetti Models <img src="img/5-data-story2.jpg" width="720px" style="display: block; margin: auto;" /> --- #
Data Stories ### Hurricane Wind Speed Probabilities <img src="img/5-data-story3.png" width="600px" style="display: block; margin: auto;" /> --- #
Data Stories ### Hurricane Rainfall Probabilities <img src="img/5-data-story4.gif" width="600px" style="display: block; margin: auto;" /> --- #
Data Stories ### Which plot is best? <img src="img/5-data-story5.png" width="100%" style="display: block; margin: auto;" /> --- #
Data Stories <img src="img/5-data-story6.png" width="420px" style="display: block; margin: auto;" /> >"Dashboards...alert you to something you should pay attention to. But most of the time they don’t tell you what’s actually happening and they certainly don’t tell you why something is happening." > >[@ry_estrellado on locking in the use of data dashboards](https://ryanestrellado.com/how-to-measure-what-matters) (Tweet from [@john_reyes](https://twitter.com/john_reyes/status/1442854996328976392)) --- class: inverse, center, middle #
<br> <br> **Defining Analytics** **Measure
Collect
Analyze
Report** --- # Data Visualization <img src="img/social-media-phone.jpg" width="600px" style="display: block; margin: auto;" /> Measure
Collect
Analyze
Report -- ###
**What might we measure? How might we report?** --- class: inverse, center, middle #
<br> <br> **Data Visualization** <br><br> Examples --- class: inverse, center, middle #
<br><br> Measure \#1 <br><br> Broad Interest --- #
Broad Interest <img src="img/5-ex1-1.png" width="380px" style="display: block; margin: auto;" /> See Deep Sea News: [How presidential elections are impacted by a 100 million year old coastline](https://deepseanews.com/2012/06/how-presidential-elections-are-impacted-by-a-100-million-year-old-coastline/) --- #
Broad Interest <img src="img/5-ex1-2.png" width="720px" style="display: block; margin: auto;" /> See https://pudding.cool/projects/heat-records/ --- #
Broad Interest <img src="img/5-ex1-3.png" width="560px" style="display: block; margin: auto;" /> See https://pudding.cool/2022/02/women-in-headlines/ --- class: inverse, center, middle #
<br><br> Measure \#2 <br><br>
Uncertainty --- #
Uncertainty <img src="img/5-ex2-1.png" width="100%" style="display: block; margin: auto;" /> --- #
Uncertainty <img src="img/5-ex2-2.png" width="100%" style="display: block; margin: auto;" /> --- #
Uncertainty <img src="img/5-ex2-3.png" width="100%" style="display: block; margin: auto;" /> --- #
Uncertainty <img src="img/5-ex2-4.png" width="100%" style="display: block; margin: auto;" /> --- class: inverse, center, middle #
<br><br> Measure \#3 <br><br>
Time --- #
Time <img src="img/5-ex3-1.png" width="720px" style="display: block; margin: auto;" /> --- #
Time <img src="img/5-ex3-2.png" width="100%" style="display: block; margin: auto;" /> --- #
Time <img src="img/5-ex3-3.png" width="100%" style="display: block; margin: auto;" /> --- #
Time <img src="img/5-ex3-4.png" width="100%" style="display: block; margin: auto;" /> --- #
Time <img src="img/5-ex3-5.png" width="520px" style="display: block; margin: auto;" /> --- class: inverse, center, middle #
<br><br> Measure \#4 <br><br>
Networks --- #
Networks <img src="img/5-ex4-1.png" width="100%" style="display: block; margin: auto;" /> --- #
Networks <img src="img/5-ex4-2.png" width="100%" style="display: block; margin: auto;" /> --- #
Networks <img src="img/5-ex4-3.png" width="480px" style="display: block; margin: auto;" /> --- #
Networks <img src="img/5-ex4-4.png" width="480px" style="display: block; margin: auto;" /> --- class: inverse, center, middle #
<br><br> Measure \#5 <br><br>
Language --- #
Language <img src="img/5-ex5-1.png" width="480px" style="display: block; margin: auto;" /> --- #
Language <img src="img/5-ex5-2.png" width="480px" style="display: block; margin: auto;" /> --- #
Language <img src="img/5-ex5-3.png" width="360px" style="display: block; margin: auto;" /> --- #
Language <img src="img/5-ex5-4.png" width="100%" style="display: block; margin: auto;" /> --- #
Language <img src="img/5-ex5-5.png" width="100%" style="display: block; margin: auto;" /> --- #
Language <img src="img/5-ex5-6.png" width="640px" style="display: block; margin: auto;" /> Linguistic Inquiry & Word Count ([LIWC](https://www.liwc.app/)) lanuage measures --- class: inverse, center, middle # Collection of Analytics Tools <div class="padlet-embed" style="border:1px solid rgba(0,0,0,0.1);border-radius:2px;box-sizing:border-box;overflow:hidden;position:relative;width:100%;background:#F4F4F4"><p style="padding:0;margin:0"><iframe src="https://fsu.padlet.org/embed/xxl6opndte57rmc5" frameborder="0" allow="camera;microphone;geolocation" style="width:100%;height:420px;display:block;padding:0;margin:0"></iframe></p><div style="padding:8px;text-align:right;margin:0;"><a href="https://padlet.com?ref=embed" style="padding:0;margin:0;border:none;display:block;line-height:1;height:16px" target="_blank"><img src="https://padlet.net/embeds/made_with_padlet.png" width="86" height="16" style="padding:0;margin:0;background:none;border:none;display:inline;box-shadow:none" alt="Made with Padlet"></a></div></div> --- class: inverse, center, middle #
<br> <br> What might we measure? <br> <br> How might we report? --- class: inverse, center, middle #
<br><br> Looking ahead --- #
Semester schedule <img src="img/across-time.jpg" width="100%" style="display: block; margin: auto;" /> - **Module 5: Data Visualization** - **Module 6:** Ethics in Learning Analytics - **Module 7:** Future of Analytics - **Module 8:** Case Discussions --- #
Major Assignments <img src="img/build.jpg" width="560px" style="display: block; margin: auto;" /> ### Analytics Assignments (60%) - Analytics Problem Plan (100 points) - **Analytics Practice (200 points) - due end of Module 5** - Analytics Case Presentation (200 points; group project) - Analytics Ethics Statement (100 points) --- #
Major Assignments <img src="img/build.jpg" width="300px" style="display: block; margin: auto;" /> ### Analytics Practice (200 points) - **due end of Module 5** - "Identify a data source, access/collect the data, analyze it, and tell its story in a **1000- to 1500-word** report **with graphics**." - "What real-world problem or opportunity for improvement (however big or small) might be addressed using analytics." - "The **data collection process and analytic tool** you used. Succinctly discuss how your data were identified, collected, processed, and analyzed." - "**Graphics** are of high importance and you should include graphics (e.g. charts) to show **trends** wherever possible. Even better if you compare the relationships between variables with scatterplots and **correlations**." --- class: inverse, center, middle #
<br><br> Questions <hr> **What questions can I answer for you now?** **How can I support you this week?** <hr>
[bret.staudtwillet@fsu.edu](mailto:bret.staudtwillet@fsu.edu) |
[bretsw.com](https://bretsw.com) |
[GitHub](https://github.com/bretsw/) --- class: inverse, center, middle #
<br><br> Let's play <br> in the [Analytics Sandbox](https://bretsw.com/sandbox) ([GitHub repository for code and data](https://github.com/bretsw/sandbox))