Module 5: Data Visualization

.title[
# Module 5: Data Visualization
]
.subtitle[
## EME6356: Learning & Web Analytics
]
.author[
### Dr. Bret Staudt Willet
]
.date[
### July 1, 2024
]

---

# <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M160 80H512c8.8 0 16 7.2 16 16V320c0 8.8-7.2 16-16 16H490.8L388.1 178.9c-4.4-6.8-12-10.9-20.1-10.9s-15.7 4.1-20.1 10.9l-52.2 79.8-12.4-16.9c-4.5-6.2-11.7-9.8-19.4-9.8s-14.8 3.6-19.4 9.8L175.6 336H160c-8.8 0-16-7.2-16-16V96c0-8.8 7.2-16 16-16zM96 96V320c0 35.3 28.7 64 64 64H512c35.3 0 64-28.7 64-64V96c0-35.3-28.7-64-64-64H160c-35.3 0-64 28.7-64 64zM48 120c0-13.3-10.7-24-24-24S0 106.7 0 120V344c0 75.1 60.9 136 136 136H456c13.3 0 24-10.7 24-24s-10.7-24-24-24H136c-48.6 0-88-39.4-88-88V120zm208 24a32 32 0 1 0 -64 0 32 32 0 1 0 64 0z"/></svg>

**View the slides:**

[bretsw.com/eme6356-su24-module5](https://bretsw.com/eme6356-su24-module5)

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M313.4 32.9c26 5.2 42.9 30.5 37.7 56.5l-2.3 11.4c-5.3 26.7-15.1 52.1-28.8 75.2H464c26.5 0 48 21.5 48 48c0 18.5-10.5 34.6-25.9 42.6C497 275.4 504 288.9 504 304c0 23.4-16.8 42.9-38.9 47.1c4.4 7.3 6.9 15.8 6.9 24.9c0 21.3-13.9 39.4-33.1 45.6c.7 3.3 1.1 6.8 1.1 10.4c0 26.5-21.5 48-48 48H294.5c-19 0-37.5-5.6-53.3-16.1l-38.5-25.7C176 420.4 160 390.4 160 358.3V320 272 247.1c0-29.2 13.3-56.7 36-75l7.4-5.9c26.5-21.2 44.6-51 51.2-84.2l2.3-11.4c5.2-26 30.5-42.9 56.5-37.7zM32 192H96c17.7 0 32 14.3 32 32V448c0 17.7-14.3 32-32 32H32c-17.7 0-32-14.3-32-32V224c0-17.7 14.3-32 32-32z"/></svg> Optimism about analytics

**Use social media analytics to:**

- Keep up-to-date with what is happening in the learning community

- Understand trends

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M313.4 479.1c26-5.2 42.9-30.5 37.7-56.5l-2.3-11.4c-5.3-26.7-15.1-52.1-28.8-75.2H464c26.5 0 48-21.5 48-48c0-18.5-10.5-34.6-25.9-42.6C497 236.6 504 223.1 504 208c0-23.4-16.8-42.9-38.9-47.1c4.4-7.3 6.9-15.8 6.9-24.9c0-21.3-13.9-39.4-33.1-45.6c.7-3.3 1.1-6.8 1.1-10.4c0-26.5-21.5-48-48-48H294.5c-19 0-37.5 5.6-53.3 16.1L202.7 73.8C176 91.6 160 121.6 160 153.7V192v48 24.9c0 29.2 13.3 56.7 36 75l7.4 5.9c26.5 21.2 44.6 51 51.2 84.2l2.3 11.4c5.2 26 30.5 42.9 56.5 37.7zM32 384H96c17.7 0 32-14.3 32-32V128c0-17.7-14.3-32-32-32H32C14.3 96 0 110.3 0 128V352c0 17.7 14.3 32 32 32z"/></svg> Pessimism About Analytics

**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)

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# <svg aria-hidden="true" role="img" viewBox="0 0 320 512" style="height:1em;width:0.62em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M80 160c0-35.3 28.7-64 64-64h32c35.3 0 64 28.7 64 64v3.6c0 21.8-11.1 42.1-29.4 53.8l-42.2 27.1c-25.2 16.2-40.4 44.1-40.4 74V320c0 17.7 14.3 32 32 32s32-14.3 32-32v-1.4c0-8.2 4.2-15.8 11-20.2l42.2-27.1c36.6-23.6 58.8-64.1 58.8-107.7V160c0-70.7-57.3-128-128-128H144C73.3 32 16 89.3 16 160c0 17.7 14.3 32 32 32s32-14.3 32-32zm80 320a40 40 0 1 0 0-80 40 40 0 1 0 0 80z"/></svg> <br><br> Module 4 <br> Final Thoughts?

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64V400c0 44.2 35.8 80 80 80H480c17.7 0 32-14.3 32-32s-14.3-32-32-32H80c-8.8 0-16-7.2-16-16V64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"/></svg> <br><br> Module 5: <br> Data Visualization

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64V400c0 44.2 35.8 80 80 80H480c17.7 0 32-14.3 32-32s-14.3-32-32-32H80c-8.8 0-16-7.2-16-16V64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"/></svg> <br><br> **Defining Analytics**

**Measure <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Collect <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Analyze <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Report**

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# <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M64 64c0-17.7-14.3-32-32-32S0 46.3 0 64V400c0 44.2 35.8 80 80 80H480c17.7 0 32-14.3 32-32s-14.3-32-32-32H80c-8.8 0-16-7.2-16-16V64zm406.6 86.6c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0L320 210.7l-57.4-57.4c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0L240 221.3l57.4 57.4c12.5 12.5 32.8 12.5 45.3 0l128-128z"/></svg> Data Visualization

Measure <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Collect <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Analyze <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M438.6 278.6c12.5-12.5 12.5-32.8 0-45.3l-160-160c-12.5-12.5-32.8-12.5-45.3 0s-12.5 32.8 0 45.3L338.8 224 32 224c-17.7 0-32 14.3-32 32s14.3 32 32 32l306.7 0L233.4 393.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l160-160z"/></svg> Report

### <svg aria-hidden="true" role="img" viewBox="0 0 320 512" style="height:1em;width:0.62em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M80 160c0-35.3 28.7-64 64-64h32c35.3 0 64 28.7 64 64v3.6c0 21.8-11.1 42.1-29.4 53.8l-42.2 27.1c-25.2 16.2-40.4 44.1-40.4 74V320c0 17.7 14.3 32 32 32s32-14.3 32-32v-1.4c0-8.2 4.2-15.8 11-20.2l42.2-27.1c36.6-23.6 58.8-64.1 58.8-107.7V160c0-70.7-57.3-128-128-128H144C73.3 32 16 89.3 16 160c0 17.7 14.3 32 32 32s32-14.3 32-32zm80 320a40 40 0 1 0 0-80 40 40 0 1 0 0 80z"/></svg> **What might we measure? How might we report?**

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# <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M64 32C28.7 32 0 60.7 0 96V416c0 35.3 28.7 64 64 64H384c35.3 0 64-28.7 64-64V96c0-35.3-28.7-64-64-64H64zM224 224a32 32 0 1 1 0 64 32 32 0 1 1 0-64z"/></svg> <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M0 96C0 60.7 28.7 32 64 32H384c35.3 0 64 28.7 64 64V416c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V96zM352 352a32 32 0 1 0 -64 0 32 32 0 1 0 64 0zM128 192a32 32 0 1 0 0-64 32 32 0 1 0 0 64z"/></svg> <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M64 32C28.7 32 0 60.7 0 96V416c0 35.3 28.7 64 64 64H384c35.3 0 64-28.7 64-64V96c0-35.3-28.7-64-64-64H64zm64 96a32 32 0 1 1 0 64 32 32 0 1 1 0-64zm64 128a32 32 0 1 1 64 0 32 32 0 1 1 -64 0zm128 64a32 32 0 1 1 0 64 32 32 0 1 1 0-64z"/></svg> <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M0 96C0 60.7 28.7 32 64 32H384c35.3 0 64 28.7 64 64V416c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V96zm160 64a32 32 0 1 0 -64 0 32 32 0 1 0 64 0zM128 384a32 32 0 1 0 0-64 32 32 0 1 0 0 64zM352 160a32 32 0 1 0 -64 0 32 32 0 1 0 64 0zM320 384a32 32 0 1 0 0-64 32 32 0 1 0 0 64z"/></svg> <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M64 32C28.7 32 0 60.7 0 96V416c0 35.3 28.7 64 64 64H384c35.3 0 64-28.7 64-64V96c0-35.3-28.7-64-64-64H64zm64 96a32 32 0 1 1 0 64 32 32 0 1 1 0-64zM96 352a32 32 0 1 1 64 0 32 32 0 1 1 -64 0zM224 224a32 32 0 1 1 0 64 32 32 0 1 1 0-64zm64-64a32 32 0 1 1 64 0 32 32 0 1 1 -64 0zm32 160a32 32 0 1 1 0 64 32 32 0 1 1 0-64z"/></svg> <br> <br> **Data Visualization** <br><br> Examples

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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/)

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See https://pudding.cool/projects/heat-records/

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See https://pudding.cool/2022/02/women-in-headlines/

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# <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M0 96C0 60.7 28.7 32 64 32H384c35.3 0 64 28.7 64 64V416c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V96zM352 352a32 32 0 1 0 -64 0 32 32 0 1 0 64 0zM128 192a32 32 0 1 0 0-64 32 32 0 1 0 0 64z"/></svg> <br><br> Measure \#2 <br><br> <svg aria-hidden="true" role="img" viewBox="0 0 448 512" style="height:1em;width:0.88em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M171.73,232.813A5.381,5.381,0,0,0,176.7,229.5,48.081,48.081,0,0,1,191.6,204.244c1.243-.828,1.657-2.484,1.657-4.141a4.22,4.22,0,0,0-2.071-3.312L74.429,128.473,148.958,85a9.941,9.941,0,0,0,4.968-8.281,9.108,9.108,0,0,0-4.968-8.281L126.6,55.6a9.748,9.748,0,0,0-9.523,0l-100.2,57.966a9.943,9.943,0,0,0-4.969,8.281V236.954a9.109,9.109,0,0,0,4.969,8.281L39.235,258.07a8.829,8.829,0,0,0,4.968,1.242,9.4,9.4,0,0,0,6.625-2.484,10.8,10.8,0,0,0,2.9-7.039V164.5L169.66,232.4A4.5,4.5,0,0,0,171.73,232.813ZM323.272,377.73a12.478,12.478,0,0,0-4.969,1.242l-74.528,43.062V287.882c0-2.9-2.9-5.8-6.211-4.555a53.036,53.036,0,0,1-28.984.414,4.86,4.86,0,0,0-6.21,4.555V421.619l-74.529-43.061a8.83,8.83,0,0,0-4.969-1.242,9.631,9.631,0,0,0-9.523,9.523v26.085a9.107,9.107,0,0,0,4.969,8.281l100.2,57.553A8.829,8.829,0,0,0,223.486,480a11.027,11.027,0,0,0,4.969-1.242l100.2-57.553a9.941,9.941,0,0,0,4.968-8.281V386.839C332.8,382.285,328.24,377.73,323.272,377.73ZM286.007,78a23,23,0,1,0-23-23A23,23,0,0,0,286.007,78Zm63.627-10.086a23,23,0,1,0,23,23A23,23,0,0,0,349.634,67.914ZM412.816,151.6a23,23,0,1,0-23-23A23,23,0,0,0,412.816,151.6Zm-63.182-9.2a23,23,0,1,0,23,23A23,23,0,0,0,349.634,142.4Zm-63.627,83.244a23,23,0,1,0-23-23A23,23,0,0,0,286.007,225.648Zm-62.074,36.358a23,23,0,1,0-23-23A23,23,0,0,0,223.933,262.006Zm188.883-82.358a23,23,0,1,0,23,23A23,23,0,0,0,412.816,179.648Zm0,72.272a23,23,0,1,0,23,23A23,23,0,0,0,412.816,251.92Z"/></svg> Uncertainty

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### Hurricane Cone of Uncertainty

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### Hurricane Spaghetti Models

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### Hurricane Wind Speed Probabilities

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### Hurricane Rainfall Probabilities

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### Which plot is best?

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# Collection of Analytics Tools

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- **Module 1:** Introduction to Analytics
- **Module 2:** Performance Analytics
- **Module 3:** Learning Analytics
- **Module 4:** Web Analytics
- **Module 5: Data Visualization**
- **Module 6:** Ethics in Learning Analytics
- **Module 7:** Future of Analytics
- **Module 8:** Case Discussions

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- <svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M464 256A208 208 0 1 0 48 256a208 208 0 1 0 416 0zM0 256a256 256 0 1 1 512 0A256 256 0 1 1 0 256zm306.7 69.1L162.4 380.6c-19.4 7.5-38.5-11.6-31-31l55.5-144.3c3.3-8.5 9.9-15.1 18.4-18.4l144.3-55.5c19.4-7.5 38.5 11.6 31 31L325.1 306.7c-3.2 8.5-9.9 15.1-18.4 18.4zM288 256a32 32 0 1 0 -64 0 32 32 0 1 0 64 0z"/></svg> Explore

- <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M88.2 309.1c9.8-18.3 6.8-40.8-7.5-55.8C59.4 230.9 48 204 48 176c0-63.5 63.8-128 160-128s160 64.5 160 128s-63.8 128-160 128c-13.1 0-25.8-1.3-37.8-3.6c-10.4-2-21.2-.6-30.7 4.2c-4.1 2.1-8.3 4.1-12.6 6c-16 7.2-32.9 13.5-49.9 18c2.8-4.6 5.4-9.1 7.9-13.6c1.1-1.9 2.2-3.9 3.2-5.9zM0 176c0 41.8 17.2 80.1 45.9 110.3c-.9 1.7-1.9 3.5-2.8 5.1c-10.3 18.4-22.3 36.5-36.6 52.1c-6.6 7-8.3 17.2-4.6 25.9C5.8 378.3 14.4 384 24 384c43 0 86.5-13.3 122.7-29.7c4.8-2.2 9.6-4.5 14.2-6.8c15.1 3 30.9 4.5 47.1 4.5c114.9 0 208-78.8 208-176S322.9 0 208 0S0 78.8 0 176zM432 480c16.2 0 31.9-1.6 47.1-4.5c4.6 2.3 9.4 4.6 14.2 6.8C529.5 498.7 573 512 616 512c9.6 0 18.2-5.7 22-14.5c3.8-8.8 2-19-4.6-25.9c-14.2-15.6-26.2-33.7-36.6-52.1c-.9-1.7-1.9-3.4-2.8-5.1C622.8 384.1 640 345.8 640 304c0-94.4-87.9-171.5-198.2-175.8c4.1 15.2 6.2 31.2 6.2 47.8l0 .6c87.2 6.7 144 67.5 144 127.4c0 28-11.4 54.9-32.7 77.2c-14.3 15-17.3 37.6-7.5 55.8c1.1 2 2.2 4 3.2 5.9c2.5 4.5 5.2 9 7.9 13.6c-17-4.5-33.9-10.7-49.9-18c-4.3-1.9-8.5-3.9-12.6-6c-9.5-4.8-20.3-6.2-30.7-4.2c-12.1 2.4-24.7 3.6-37.8 3.6c-61.7 0-110-26.5-136.8-62.3c-16 5.4-32.8 9.4-50 11.8C279 439.8 350 480 432 480z"/></svg> Discuss

- <svg aria-hidden="true" role="img" viewBox="0 0 576 512" style="height:1em;width:1.12em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#782F40;overflow:visible;position:relative;"><path d="M64 64C28.7 64 0 92.7 0 128V384c0 35.3 28.7 64 64 64H512c35.3 0 64-28.7 64-64V128c0-35.3-28.7-64-64-64H64zm16 64h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM64 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V240zm16 80h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H80c-8.8 0-16-7.2-16-16V336c0-8.8 7.2-16 16-16zm80-176c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V144zm16 80h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V240c0-8.8 7.2-16 16-16zM160 336c0-8.8 7.2-16 16-16H400c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H176c-8.8 0-16-7.2-16-16V336zM272 128h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM256 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H272c-8.8 0-16-7.2-16-16V240zM368 128h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H368c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM352 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H368c-8.8 0-16-7.2-16-16V240zM464 128h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H464c-8.8 0-16-7.2-16-16V144c0-8.8 7.2-16 16-16zM448 240c0-8.8 7.2-16 16-16h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H464c-8.8 0-16-7.2-16-16V240zm16 80h32c8.8 0 16 7.2 16 16v32c0 8.8-7.2 16-16 16H464c-8.8 0-16-7.2-16-16V336c0-8.8 7.2-16 16-16z"/></svg> Create

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### 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**."

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<hr>

**What questions can I answer for you now?**

**How can I support you this week?**

<hr>

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# Learn to Code

**https://datascienceineducation.com/**

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# <svg aria-hidden="true" role="img" viewBox="0 0 640 512" style="height:1em;width:1.25em;vertical-align:-0.125em;margin-left:auto;margin-right:auto;font-size:inherit;fill:#fff;overflow:visible;position:relative;"><path d="M181.5 197.1l12.9 6.4c5.9 3 12.4 4.5 19.1 4.5c23.5 0 42.6-19.1 42.6-42.6V144c0-35.3-28.7-64-64-64H128c-35.3 0-64 28.7-64 64v21.4c0 23.5 19.1 42.6 42.6 42.6c6.6 0 13.1-1.5 19.1-4.5l12.9-6.4 8.4-4.2L135.1 185c-4.5-3-7.1-8-7.1-13.3V168c0-13.3 10.7-24 24-24h16c13.3 0 24 10.7 24 24v3.7c0 5.3-2.7 10.3-7.1 13.3l-11.8 7.9 8.4 4.2zm-8.6 49.4L160 240l-12.9 6.4c-12.6 6.3-26.5 9.6-40.5 9.6c-3.6 0-7.1-.2-10.6-.6v.6c0 35.3 28.7 64 64 64h64c17.7 0 32 14.3 32 32s-14.3 32-32 32H384V336 320c0-23.7 12.9-44.4 32-55.4c9.4-5.4 20.3-8.6 32-8.6V240c0-26.5 21.5-48 48-48c8.8 0 16 7.2 16 16v32 16 48c0 8.8 7.2 16 16 16s16-7.2 16-16V204.3c0-48.2-30.8-91-76.6-106.3l-8.5-2.8c-8-2.7-12.6-11.1-10.4-19.3s10.3-13.2 18.6-11.6l19.9 4C576 86.1 640 164.2 640 254.9l0 1.1h0c0 123.7-100.3 224-224 224h-1.1H256h-.6C132 480 32 380 32 256.6V256 216.8c-10.1-14.6-16-32.3-16-51.4V144l0-1.4C6.7 139.3 0 130.5 0 120c0-13.3 10.7-24 24-24h2.8C44.8 58.2 83.3 32 128 32h64c44.7 0 83.2 26.2 101.2 64H296c13.3 0 24 10.7 24 24c0 10.5-6.7 19.3-16 22.6l0 1.4v21.4c0 1.4 0 2.8-.1 4.3c12-6.2 25.7-9.6 40.1-9.6h8c17.7 0 32 14.3 32 32s-14.3 32-32 32h-8c-13.3 0-24 10.7-24 24v8h56.4c-15.2 17-24.4 39.4-24.4 64H320c-42.3 0-78.2-27.4-91-65.3c-5.1 .9-10.3 1.3-15.6 1.3c-14.1 0-27.9-3.3-40.5-9.6zM96 128a16 16 0 1 1 0 32 16 16 0 1 1 0-32zm112 16a16 16 0 1 1 32 0 16 16 0 1 1 -32 0z"/></svg> <br><br> Play in the <br> [Analytics Sandbox](https://bretsw.com/sandbox)