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</style></head><body><div class="bespoke-marp-osc"><button data-bespoke-marp-osc="prev" tabindex="-1" title="Previous slide">Previous slide</button><span data-bespoke-marp-osc="page"></span><button data-bespoke-marp-osc="next" tabindex="-1" title="Next slide">Next slide</button><button data-bespoke-marp-osc="fullscreen" tabindex="-1" title="Toggle fullscreen (f)">Toggle fullscreen</button><button data-bespoke-marp-osc="presenter" tabindex="-1" title="Open presenter view (p)">Open presenter view</button></div><div id=":$p"><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="1" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h1 id="data-visualization-for-public-policy">Data Visualization for Public Policy</h1>
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<h2 id="miscellaneous-odds--ends">Miscellaneous Odds &amp; Ends</h2>
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</section>
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<h2 id="this-week">This Week</h2>
<ul>
<li>Project Questions / Deployment</li>
<li>Code Quality &amp; Style</li>
<li>Dashboards</li>
<li>Visual Style Guides</li>
<li>100 Visualizations</li>
<li>Animation &amp; Interaction</li>
</ul>
</section>
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<h2 id="code-quality">Code Quality</h2>
<p>When you are writing a data pipeline or application, code quality is of high importance.</p>
<ul>
<li>Readability &amp; Documentation =&gt; easier maintenance &amp; bugs prevented.</li>
<li>Small speed-ups from better algorithm/data structure choices can make big differences when that task executes millions of times.</li>
<li>Test coverage makes refactoring easier, prevents regressions.</li>
</ul>
</section>
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<h3 id="unique-considerations-for-data-viz">Unique Considerations for Data Viz</h3>
<ul>
<li>Typically little to no ongoing reuse/maintenance.</li>
<li>Visualization itself unlikely to be performance bottleneck compared to data manipulation.</li>
<li>Focus is on <strong>immediate visual output</strong>, testing de-emphasized.</li>
<li>Often written by solo developer, even in larger organizations.</li>
</ul>
<p>Code quality still matters, but your main goal should be code that you can trust is correct. Testing, documentation, and the &quot;right way&quot; are less essential.</p>
</section>
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<h2 id="dashboards">Dashboards</h2>
<p>Long-lived data visualizations that typically run against a central repository of data.</p>
<p>You can use the same techniques &amp; tools, or custom dashboard-focused tools like Tableau or Dash.</p>
<p>Key difference: You will likely need some degree of dynamic refresh (instead of loading CSV/JSON load data from DB/API). Comes with caching and other performance considerations.</p>
</section>
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<h2 id="dashboard-psuedocode">Dashboard Psuedocode</h2>
<pre is="marp-pre" data-auto-scaling="downscale-only"><code>every interval {
data = update()
visualize(data)
}
</code></pre>
<p>Can make use of animation to provide context:</p>
<ul>
<li>scrolling time series</li>
<li>animated dials to show directional changes</li>
</ul>
</section>
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<h2 id="are-dashboards-bad">Are Dashboards Bad?</h2>
<p>Dashboards saw a surge in popularity a decade or so ago, and there are now plenty of bad dashboards out there.</p>
<p>Golden rule of dashboards: <strong>answer a question &amp; make them actionable</strong>.</p>
<p>Too often people just throw all their data on a dashboard.</p>
<p><em>OK, I can see that 6 errors occurred in the last 24 hours...</em></p>
<ul>
<li>Is that a lot? <strong>Show trends where appropriate!</strong></li>
<li>What can I do? <strong>Provide links/action items!</strong></li>
</ul>
<p>Without this focus, dashboards become decorations.</p>
</section>
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<h2 id="style-guide">Style Guide</h2>
<p>It can be helpful to create or build from a style guide. Even for your own work.</p>
<p>Examples:</p>
<ul>
<li><a href="https://www.amycesal.com/portfolio#/data-visualization-style-guidelines/">Sunlight Foundation</a></li>
<li><a href="https://www.amycesal.com/portfolio#/cfpb-design-manual-data-visualization/">CFPB</a></li>
</ul>
</section>
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<h2 id="key-elements">Key Elements</h2>
<h3 id="typography">Typography</h3>
<p>Select 2 complementary fonts:</p>
<ul>
<li>Prefer a very legible sans-serif font for data/axes labels.</li>
<li>Any legible font for chart titles/narrative/etc.</li>
</ul>
<h3 id="color-selection">Color Selection</h3>
<p>Best to have:</p>
<ul>
<li>Nominal data: Distinct, contrasting hues</li>
<li>Quantitative data: Linear or divergent gradients</li>
<li>Consider color-blindness and accessibility</li>
</ul>
</section>
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<h2 id="style-guide-chart-selection">Style Guide: Chart Selection</h2>
<ul>
<li>Match chart type to <strong>data characteristics</strong> and <strong>audience</strong>.</li>
<li>Consider:
<ul>
<li>Data dimensionality</li>
<li>Comparison needs</li>
<li>Narrative goals</li>
</ul>
</li>
</ul>
</section>
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<h2 id="creativity-1-dataset-100-visualizations">Creativity: 1 Dataset 100 Visualizations</h2>
<p><a href="https://100.datavizproject.com">https://100.datavizproject.com</a></p>
</section>
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<h2 id="applications-of-animation">Applications of Animation</h2>
<ul>
<li>Demonstrate change over time: Data being added to chart as time &quot;plays.&quot;</li>
<li>Highlight relationships: Hover/highlight/select modifies display of other data on page.</li>
<li>Focus attention: Show subsets of data at a time.</li>
<li>Show uncertainty: &quot;wiggle&quot;, shifting trend line (next page)</li>
</ul>
<p>More Examples:</p>
<ul>
<li><a href="https://informationisbeautiful.net">https://informationisbeautiful.net</a></li>
<li><a href="https://www.visualcinnamon.com/portfolio/">https://www.visualcinnamon.com/portfolio/</a></li>
</ul>
</section>
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<h2 id="applications-of-interaction">Applications of Interaction</h2>
<ul>
<li>Enable user-driven exploration of data.
<ul>
<li>&quot;How do these two variables compare?&quot;</li>
<li>&quot;What happens if this price increases?&quot;</li>
</ul>
</li>
<li>Allow personalization (e.g. enter your zip code)
<ul>
<li>&quot;What is this like in my city?&quot;</li>
</ul>
</li>
<li>Increased engagement/retention. Lots of evidence showing we learn best by participating.</li>
</ul>
</section>
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</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="15" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h2 id="js-setinterval">JS setInterval</h2>
<pre is="marp-pre" data-auto-scaling="downscale-only"><code class="language-js"><span class="hljs-comment">// will call `func` every `everyMS`</span>
<span class="hljs-keyword">let</span> intervalId = <span class="hljs-built_in">setInterval</span>(func, everyMS)
<span class="hljs-comment">// stop calling func</span>
<span class="hljs-built_in">clearInterval</span>(intervalId)
</code></pre>
<p><a href="https://developer.mozilla.org/en-US/docs/Web/API/Window/setInterval">https://developer.mozilla.org/en-US/docs/Web/API/Window/setInterval</a></p>
</section>
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</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="16" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h2 id="interaction-making-data-selections">Interaction: Making Data Selections</h2>
<p>For user-driven data explorations, <strong>selection</strong> is an important concept.</p>
<p>How do you want to let a user select individual records or groups of records?</p>
<h3 id="selection-spectrum-simple-to-complex">Selection Spectrum: Simple to Complex</h3>
<ul>
<li>Menu/Select Box</li>
<li>Hover/click on items on page (tooltips, etc.)</li>
<li>Drag/Region selection</li>
<li>Pre-written SQL queries with dropdowns/selects. (Common on dashboards.)</li>
<li>Allow user to write queries themselves in SQL or a custom query language. Common on advanced dashboards.</li>
</ul>
<p>Altair Selection: <a href="https://altair-viz.github.io/user_guide/interactions.html">https://altair-viz.github.io/user_guide/interactions.html</a><br />
D3 Selection: <a href="https://observablehq.com/collection/@d3/d3-selection">https://observablehq.com/collection/@d3/d3-selection</a></p>
</section>
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</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="17" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h2 id="discussion-major-visualization-challenges">Discussion: Major Visualization Challenges</h2>
<ul>
<li>Missing/Incomplete data</li>
<li>Huge quantities of data</li>
<li>Complex, high-dimensional data</li>
<li>Uncertainty</li>
<li>Challenges of Scale</li>
</ul>
</section>
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</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="18" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h3 id="missingincomplete-data">Missing/Incomplete Data</h3>
<ul>
<li>Imputation of missing values.</li>
<li>Label missing data.</li>
<li>Regardless of choice. Be transparent.</li>
</ul>
</section>
2024-12-14 20:17:21 +00:00
</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="19" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h3 id="big-data">Big Data</h3>
<ul>
<li>Aggregation</li>
<li>Sampling</li>
<li>Filtering/Interactives</li>
</ul>
</section>
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</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="20" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h3 id="lots-of-attributesdimensions">Lots of Attributes/Dimensions</h3>
<ul>
<li>Small multiples approach</li>
<li>Pairwise charts. (XY, YZ, XZ)</li>
<li>Advanced: Dimensionality Reduction Algorithms (PCA, TSNE, etc.)</li>
<li>Interactive exploration</li>
</ul>
</section>
2024-12-14 20:17:21 +00:00
</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="21" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
2024-12-03 19:36:40 +00:00
<h3 id="handling-uncertainty">Handling Uncertainty</h3>
<ul>
<li>Frequency Approach</li>
<li>Confidence intervals &amp; error bars</li>
<li>Probabilistic visualizations</li>
</ul>
</section>
2024-12-14 20:17:21 +00:00
</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="22" data-theme="vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7" lang="en-US" style="--theme:vyvwqurp9w2io5c2hvlsx9stbgmjf626588ju9nuxa7;">
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<h3 id="visualizing-scale">Visualizing Scale</h3>
<ul>
<li>Hierarchical visualizations (treemaps)</li>
<li>Logarithmic scales when appropriate.</li>
</ul>
</section>
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