tag:blogger.com,1999:blog-3546179519069593242024-03-28T04:44:02.628-07:00Data + BritBrithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.comBlogger11125tag:blogger.com,1999:blog-354617951906959324.post-77880499289419780852017-03-03T13:00:00.000-08:002017-06-11T16:50:26.294-07:00My Takeaways from the 2017 Tapestry Conference<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">On Wednesday I had the pleasure of attending the annual one day <a href="http://www.tapestryconference.com/" target="_blank">Tapestry Conference</a> for the first time. I was blown away by many things - the nearly equal representation of genders, the quality of thought presented by speakers, and the desire of attendees from many disciplines to experience the day together and improve, question, and share their practice. In an effort to synthesize my notes and reflect further I'm going to share my key takeaways from some of the speakers. While I know these bullets could never replace the richness of experiencing this live with carefully curated examples to enrich the takeaways, I hope that you find your own “aha” moments and questions arise.</span></div>
<span style="font-family: Arial, Helvetica, sans-serif;"><b id="docs-internal-guid-187b15cf-95f6-e1a8-d31f-78728810b1c9" style="font-weight: normal;"><br /></b>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Lena Groeger</span></div>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">News Apps Developer, ProPublica</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Data doesn't speak for itself - it reflects </span><span style="background-color: transparent; color: black; font-style: italic; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">your</span><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> thinking. </span></span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Visualization are not neutral and one design rarely fits all realities.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Sometimes it's harmful to reduce individual people to dots.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Provide context to your visualization - e.g. flaws, source, what “good” or “bad” mean.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Users are not always who we imagine so design against bias by diversifying your teams, seeking peer review, or consulting an expert.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Have procedures against bias such as diverse user testing.</span></div>
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</span><br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Catherine D'Ignazio</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Assistant Prof of Data Visualization & Civic Media, Emerson College</span><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><br class="kix-line-break" /></span></span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Creative data literacy recognizes that citizens and non-specialist need alternative pathways into working with data that connect to their lived realities. </span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Think about a community survey. How can you take a lot of data and synthesize the information in deliver it in a creative way for non-data specialist? </span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: circle; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Her students followed this process:</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: lower-roman; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Divide and Conquer: Subsets of the data were assigned to people.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: lower-roman; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Analyze: Each subset was then analyzed using a tool called databasic.io - it's free, check it out!</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: lower-roman; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Themes: The analysis was used to identity themes.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: lower-roman; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Visualize: Each theme became a question of the community and an appropriate visualization (in this case, gifs) to illustrate the question.</span></div>
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<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Nathaniel Lash</span></div>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Data reporter, Tampa Bay Times</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Be careful of getting enamored by technology and focus on the story you’re telling.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The story is not the tool, the story is the data.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Avoid distractions; remove unnecessary graphics, tooltips, etc.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Sometimes, the design may unfold as the story unfolds.</span></div>
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</span><br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Cole Nussbaumer Knaflic</span></div>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Author & Speaker, storytelling with data</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Great stories include repetition, story, and picture.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The typical business presentation follows a linear path but that can be a selfish path. </span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The same information can be delivered in an arc where you start with the plot, have rising action, climax, falling action, and the ending.</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif;"><b style="font-weight: normal;"><br /></b>
</span><br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Matthew Daniels</span></div>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Editor, Polygraph</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Question the accuracy of an analysis. Matthew used the example of the </span><a href="https://en.wikipedia.org/wiki/Bechdel_test" style="text-decoration: none;"><span style="background-color: transparent; color: #1155cc; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;">Bechdel test</span></a><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">. The test analyzes whether a work of fiction features at least two women or girls who talk to each other about something other than a man or boy. It’s recieve a lot of criticism so </span></span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">So what can we do? Fix the test and address the concerns. Matthew decided to analyze the film data in a different way and attempt to make it better (see </span><a href="http://poly-graph.co/bechdel/" style="text-decoration: none;"><span style="background-color: transparent; color: #1155cc; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;">http://poly-graph.co/bechdel/</span></a><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">).</span></span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Once he made his analysis public there were two reactions: 1) There was an echo chamber effect and the people that liked the Bechdel test before still agreed with his results and 2) There was still divisive rhetoric and the people who disagreed still found issues and critique with the new analysis.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">So was it a waste of time? No. New perspectives and continued dialogue are needed to move the needle forward.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Matthew recommends reading “Zen and the Art of Motorcycle Maintenance”</span></div>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Michelle Borkin</span></div>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Assistant Professor, Northeastern University</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Michelle and others ran an experiment to measure encoding, recognition, and recall of data visualizations.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Visualizations that are memorable “at-a-glance” have memorable content.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Titles and text are key elements in visualization and help recall the message.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Human recognizable objects (e.g. pictograms) can help with the recognition or recall of a visualization.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Redundancy helps with visualization recall and understanding.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The most memorable had visual associations whereas the least memorable had more semantic associations.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Interestingly, when it came to color, people remembered the segments the color created but not the colors themselves.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Their data visualization library database is open to your use: </span><a href="http://massvis.mit.edu/" style="text-decoration: none;"><span style="background-color: transparent; color: #1155cc; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;">http://massvis.mit.edu/</span></a></span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">For more detail on the study check out: </span><a href="http://www.csail.mit.edu/node/2628" style="text-decoration: none;"><span style="background-color: transparent; color: #1155cc; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;">http://www.csail.mit.edu/node/2628</span></a></span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Also, here’s an interesting rebuttal of the findings by Stephen Few: </span><a href="https://www.perceptualedge.com/blog/?p=1770" style="text-decoration: none;"><span style="background-color: transparent; color: #1155cc; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: underline; vertical-align: baseline; white-space: pre-wrap;">https://www.perceptualedge.com/blog/?p=1770</span></a></span></div>
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</ul>
<span style="font-family: Arial, Helvetica, sans-serif;"><b style="font-weight: normal;"><br /></b>
</span><br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Neil Halloran</span></div>
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<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Filmmaker, Higher Media</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">We have a greater emotional response to individuals, not statistics.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Emotion is not scalable and there’s an upper bound to how much we can care for strangers.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Stressing how big the numbers are is more important than the number itself.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">How do we bring the humanity back to the numbers?</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The status quo is to focus on individual stores but the flaw is that it doesn’t give us the connection to the bigger picture.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Hans Rosling does this well and shows that the data visualization itself doesn’t have to be complex to build that emotional connection.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Think of when you play a note on a piano. You feel something and when you play it for others, they feel it too.</span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">How do you make data </span><span style="background-color: transparent; color: black; font-style: italic; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">feel</span><span style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> big?</span></span></div>
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<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Really think about the best way for someone to feel and understand the story and do the things that’s better. For example, if it would be better if you were presenting it, present it. Create a video.</span></div>
</li>
<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Do we feel compelled to be interactive because we can? Is that always the right design?</span></div>
</li>
<li dir="ltr" style="background-color: transparent; color: black; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">We have a tendency to blame misunderstanding or lack of understanding to be a data literacy problem but that’s blaming the audience. As designers, we can push the blame to the user.</span></div>
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</ul>
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: Arial, Helvetica, sans-serif; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Aside from the great speakers, the attendees offered a wealth of knowledge as well. They came from many different industries including government, journalism, academia, and design. By experience every session together, each opportunity for one-on-one conversation were led to really though-provoking reflection and ideas around the several questions that arose throughout the day. While many examples were presented that expressed the speakers points, I found I left the conference with more questions than answers and I think that’s okay. The presentations already sparked new ideas for me and I gathered a lot of helpful thoughts from others too. </span></div>
Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com11tag:blogger.com,1999:blog-354617951906959324.post-81327807183703576642016-11-15T16:24:00.001-08:002017-08-28T13:04:10.567-07:00Using Python for Sentiment Analysis in Tableau<span style="font-family: "arial" , "helvetica" , sans-serif;">This weeks <a href="http://www.makeovermonday.co.uk/">Makeover Monday</a>'s data set was the Top 100 Song's Lyrics. After just returning from Tableau's annual conference and being eager to try their new feature, <a href="https://www.tableau.com/about/blog/2016/11/leverage-power-python-tableau-tabpy-62077" target="_blank">TabPy</a>, this seemed like the perfect opportunity to test it out. In this blog post, I'm going to offer a step-by-step guide on how I did this. <b>If you haven't used Python before, have no fear - this is definitely achievable for novices - read on! </b></span><br />
<span style="font-family: "arial" , "helvetica" , sans-serif;"><span style="font-family: "arial" , "helvetica" , sans-serif;"><b><br />
</b></span> For some context before I begin, I have limited experience with Python. I recently completed a challenging but great course through edX that I'd highly recommend if you are looking for foundational knowledge - <a href="https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-9" target="_blank">Introduction to Computer Science and Programming Using Python</a>. The syllabus included advanced Python including Classes and thinking about algorithmic complexity. However, to run the analysis I did, it would be helpful to look up and understand at a high level:</span><br />
<br />
<ul>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">basic for loops</span></li>
</ul>
<ul>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">lists</span></li>
</ul>
<ul>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">dictionaries</span></li>
</ul>
<ul>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">importing libraries</span></li>
</ul>
<div>
<span style="font-family: "arial" , "helvetica" , sans-serif;">The libraries I used for this, should you want to look up additional documentation, are:</span></div>
<ul>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">pandas</span></li>
</ul>
<ul>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">nltk</span></li>
</ul>
<ul>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">time (this one isn't really necessary - I just used it to test computation time differences between TabPy and local processing.)</span></li>
</ul>
<span style="font-family: "arial" , "helvetica" , sans-serif;"> <span style="font-family: "arial" , "helvetica" , sans-serif;">I have a</span><b style="font-family: arial, helvetica, sans-serif;"> Mac </b><span style="font-family: "arial" , "helvetica" , sans-serif;">so if you're trying to reproduce with a PC, you'll find install instructions <a href="https://github.com/tableau/TabPy/blob/master/server.md" target="_blank">here</a> as well.</span></span><br />
<div>
<span style="font-family: "arial" , "helvetica" , sans-serif;"><br />
</span></div>
<div>
<b><span style="font-family: "arial" , "helvetica" , sans-serif;">Part 1 - Setting Up Your Environment</span></b></div>
<div>
<ol>
<li>Make sure you are using Tableau v10.1</li>
<li>Open <a href="http://til.bi/mm46tde" style="font-family: Arial, Helvetica, sans-serif;" target="_blank">TDE</a><span style="font-family: "arial" , "helvetica" , sans-serif;"> with Top 100 Songs data</span></li>
<li>Install <a href="https://github.com/tableau/TabPy" style="font-family: Arial, Helvetica, sans-serif;" target="_blank">TabPy</a></li>
</ol>
</div>
<div>
<span style="font-family: "arial" , "helvetica" , sans-serif;">Read through the install directions. Here's my simplified version for those not comfortable with GitHub or command line:</span></div>
<div>
<ul>
<li>Click the green "Clone or Download" button.</li>
<li>Select Download</li>
<li>Unzip the file and save locally (I moved mine to my desktop)</li>
<li>Open your Terminal and navigate to your TabPy folder. Run these commands:</li>
</ul>
</div>
<span style="font-family: "arial" , "helvetica" , sans-serif;"><span style="font-family: "arial" , "helvetica" , sans-serif;"><br />
</span> <span style="font-family: "arial" , "helvetica" , sans-serif;">If you <a href="https://gist.github.com/databrit/1b6f899614064af0bbac2da96dce2102" target="_blank">see this</a> after your install finished, you're all set!</span></span><br />
<div>
<span style="font-family: "arial" , "helvetica" , sans-serif;"><span style="font-family: "arial" , "helvetica" , sans-serif;"><br /></span></span></div>
<div>
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</div>
<b><span style="font-family: "arial" , "helvetica" , sans-serif;">Part 2 - Connecting to TabPy in Tableau</span></b><br />
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<b><span style="font-family: "arial" , "helvetica" , sans-serif;"><br />
</span></b></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">Now it's time to setup your TabPy in Tableau. In Tableau 10.1 go to:</span></div>
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</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">Help > Settings and Performance > Manage External Connection</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;"><br />
</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">and enter localhost since you're running TabPy on your own computer. The default port is 9004 so unless you manually changed you should leave it at that</span></div>
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<b><span style="font-family: "arial" , "helvetica" , sans-serif;">Part 3 - Creating your TabPy Calculation</span></b></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">The TabPy Github page has extensive documentation you should review on <a href="https://github.com/tableau/TabPy/blob/master/TableauConfiguration.md" target="_blank">using python in Tableau calculations</a>. I simply repurposed one of the calcs they demoed during the TabPy session at #data16 - catch the <a href="http://tclive.tableau.com/Library/Video?vCode=BRK53875" target="_blank">replay here</a>.</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">Using the Top 100 songs data set, create <a href="https://gist.github.com/databrit/c7c0cb116c924b17eef689d27032f8f0" target="_blank">this calculated field</a>.</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">Everything following # is a comment just to help make sense of what the code is doing. Feel free to remove that text.</span></div>
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</span> <span style="font-family: "arial" , "helvetica" , sans-serif;">Now you can use this calculated field in views with [Word] to process the sentiment score! The downside is that since this is a table calculation and also uses ATTR, you cannot use this within a level of detail calculation (LOD). So unfortunately, you cannot sum of the sentiment on the level of detail of song using this example and data structure. With some data manipulation it is possible but I won't be diving into that.</span><br />
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<b><span style="font-family: "arial" , "helvetica" , sans-serif;">TabPy vs. Pre-Processing Data for Tableau</span></b></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">Unfortunately, you cannot publish vizzes using TabPy to Tableau Public. If you want to download the .twbx version I made using TabPy, you can do so <a href="https://drive.google.com/file/d/0B2MvnNQ3Uv_yZ183VGNwSm9pTDQ/view?usp=sharing" target="_blank">here</a>.</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">However, you could run this analysis outside of Tableau and simply import the output and create your viz that way. I did this which also gave me more flexibility with LODs since I no longer was using TabPy.</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">TabPy definitely took me less time and required less code. However, it did take </span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">~2.5 minutes*** to process 8,668 words whereas when I ran my code (below) outside of Tableau it took under 1 second to get the scores and write them back to a CSV.</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">***<i>11/17 Update: Bora Beran made a great point; be mindful of how you're addressing your TabPy Table Calc - </i></span><i style="font-family: arial, helvetica, sans-serif;">"<span style="background-color: white; text-align: justify;">If you have all your dimensions in addressing we will make a single call to Python and pass all the data at once which will be much faster. Otherwise we make one call per partition. If e.g. song title is on partitioning we would send a separate request for each song. If word is on partitioning we will send a separate request per word."</span> </i></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;"><i>At the time of posting this blog, I was addressing all dimensions in view and on a few occasions when working with this data I experienced a very slow result return time as stated. However, today when running this calc it took the same time in Tableau as I stated outside of Tableau. I don't have a clear idea as to why but I was running that query on my local machine and think it might have simply been to limited resources to process the analysis at the time. </i></span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;"><a href="https://gist.github.com/databrit/b5407097fcb69ab7495eaa7af1e0c8b4" target="_blank">This is what the code would like like outside of TabPy</a>. You can run this code in a Jupyter notebook or another IDE - I used Spyder only because I used that for my class.</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;">You can download my Tableau Public viz which uses the output of the below code to inspect further!</span></div>
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<span style="font-family: "arial" , "helvetica" , sans-serif;"><script src="https://gist.github.com/GirlMeetsData/b5407097fcb69ab7495eaa7af1e0c8b4.js"></script></span></div>
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</span> <span style="font-family: "arial" , "helvetica" , sans-serif;"><b style="background-color: yellow;">Here's the final viz - half of it is cut off so be sure to <a href="https://public.tableau.com/profile/brit4337#!/vizhome/Top100Songs-SentimentAnalysis/Top100Songs-SentimentAnalysis" target="_blank">view it in Tableau Public</a>:</b> </span><br />
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</style>Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com65tag:blogger.com,1999:blog-354617951906959324.post-30397111802744164942016-10-10T08:24:00.000-07:002017-06-11T16:57:27.075-07:00Educational Backgrounds of Data Industry Professionals<span style="background-color: white; font-family: "arial" , "helvetica" , sans-serif;">As some of you may know, I co-founded a <a href="http://www.meetup.com/SheTalksData/" target="_blank">group</a> in the Bay Area for women who work in the data industry with <a href="https://twitter.com/datachloe" target="_blank">Chloe Tseng</a> back in March. These past 8 months have been extremely rewarding for me. Not only have I been sharpening my organizing and community building skills but I've built an amazing network of friendship and support. </span><br />
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<span style="background-color: white;"><span style="font-family: "arial" , "helvetica" , sans-serif;">One thing that continually will come up in our conversations is the idea of "non-traditional" vs. "traditional" educational backgrounds. "Traditional" referring to professionals who have a STEM (i.e. Computer Science, Statistics, Math, etc.) background versus those of us who have a degree in a liberal arts field (i.e. Communications, Business, PoliSci, etc.). It's really interesting to see how this manifests in the types of struggles they face. Speaking personally, I studied Political Science and had a few non-data jobs before entering this space. I've always felt a bit behind from peers who have STEM backgrounds which causes me stress and a lot of after hours self-learning activities to "keep up". I've connected with many others who feel similarly. However, we have had amazing guests and attendees at our events with masters or doctorates in Statistics and other STEM fields. They are also very driven and do take self-improvement just as seriously. </span></span><br />
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<span style="background-color: white;"><span style="font-family: "arial" , "helvetica" , sans-serif; font-size: 12.8px;">It's very difficult to find data on this divide* - especially specific to people who work in the data industry. I've looked at statistics from the <a href="https://nces.ed.gov/programs/digest/d12/tables/dt12_313.asp" target="_blank">Department of Education</a> and know that </span><span style="font-family: "arial" , "helvetica" , sans-serif;">i</span></span><span style="background-color: white; font-family: "arial" , "helvetica" , sans-serif;"><span style="font-family: "arial" , "helvetica" , sans-serif;">n </span><span style="font-family: "arial" , "helvetica" , sans-serif;">the mid-1980s, 37% of computer science majors were women whereas in 2013-14 only 18%. But the reality is that there are many people in our space who don't have a Computer Science degree, or have a different STEM degree, and they're very successful in their craft.</span></span><br />
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<span style="background-color: white;">In an effort</span><span style="background-color: white; white-space: pre-wrap;"> to learn more about data industry professionals and their backgrounds, I've created a short 8 question survey that I would appreciate if you take and share on your social networks and with your colleagues. I am hoping to get a good sample size and plan to use some of this information in a conference presentation. </span></span><br />
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<span style="font-family: "arial" , "helvetica" , sans-serif; font-size: small;"><span style="background-color: white; white-space: pre-wrap;">Survey: </span><span style="font-family: "arial" , "helvetica" , sans-serif;"><span style="white-space: pre-wrap;"><a href="https://goo.gl/forms/e7hZfbbeNEmgRmd83">https://goo.gl/forms/e7hZfbbeNEmgRmd83</a></span></span></span></h2>
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<span style="font-family: "arial" , "helvetica" , sans-serif;"><span style="background-color: white; white-space: pre-wrap;">* I did find a survey about new coders. It's a great data set too for analysis! </span><span style="font-family: "arial" , "helvetica" , sans-serif;"><span style="white-space: pre-wrap;"><a href="http://bit.ly/2dRIqNO">http://bit.ly/2dRIqNO</a></span></span></span>Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com13tag:blogger.com,1999:blog-354617951906959324.post-33013122820879860872016-06-04T12:31:00.000-07:002017-06-11T17:00:18.515-07:00Resources for Self-Improvement for Data Industry Professionals<i><span style="font-family: Arial, Helvetica, sans-serif;">Last Update: May 22, 2017</span></i><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">Over the last year I have noticed that as my social engagement increased I started to receive many messages to the likes of the following:</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;"> "I came across your Tableau profile/blog/Twitter and as a new user I would love to know your journey/resources you used to learn the tool."</span><div>
<span style="font-family: Arial, Helvetica, sans-serif;"><br />"How did you enter the data field with a background in political science?"</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif;"><br />"I came across your profile and was very impressed with your achievements and career path as you have grown into the Business Intelligence field. What advice would you have to a new comer?"</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif;"><br />"As someone who came from a non-technical background and quickly grown into the BI field successfully, I am wondering if you would share your experiences and tips." </span><br /><span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">For a while I felt a bit out of place to receive the compliments and struggled to realize I had a point of view that could be valuable to others in their own career progression. With the support of my peers and the amazing women I get to engage with in the Tableau/data community I have gained a new confidence and comfort in sharing my techniques. I've always been a compassionate person and I truly love helping others. Instead of keeping all the tips and tricks that have helped me grow hidden in private messages, I thought I would share with you publicly!</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; margin-left: 1em; margin-right: 1em;"> My Recommendations</span></h2>
<span style="font-family: Arial, Helvetica, sans-serif;">1. Always surround yourself with people who are smarter than you. I have always been intimidated by folks who I aspire to be like but have found that when I overcome that shyness and seek out their help they usually like to share it. I have two categories of these people. First, the peers I interact with regularly so perhaps people at work who are senior to me. With these folks, I seek mentors and try to meet on a cadence. I also use these people for advice on an as needed basis. Second, what I call "stretch connections" - people who are many levels senior to me, experts in industry, etc. I connect with the people via LinkedIn and Twitter. I usually introduce myself, compliment the aspects of their work I admire and try to see if we can chat over the phone or meet over coffee if we're located in the same place. I use these opportunities to discover how they've found success, their thoughts on the field, etc. Through this, I've met Founders, Data Scientists in the U.S. and met with people at companies I dream to work at.</span><br />
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<span class="s1" style="font-family: Arial, Helvetica, sans-serif;"><br />2. Take on opportunities you're afraid of. I always find it easy to doubt my capabilities but my last two jobs I had fears about the level or work and expectations of my performance. However, I've always felt when under pressure and forced do step outside my comfort zone that it accelerates my learning. I'm able to quickly understand new technologies and apply them quickly. I am able to learn more in a few months through hands-on experience versus years of higher education. <br /><br />3. Have a growth mindset. Good book on the subject:<a href="http://www.amazon.com/Mindset-The-New-Psychology-Success/dp/0345472322"><span class="s2">http://www.amazon.com/Mindset-The-New-Psychology-Success/dp/0345472322</span></a> Basically, believe that your knowledge isn't fixed and that you always have the ability to learn new things. Some things may not come as quick as others but with handwork and persistence you can succeed in your endeavors. With that, always being cognizant that your current understanding is limited and that there is always more to learn. Be humble enough to recognize this and always strive to be better. <br /><br />4. Have a point of view. Recently I've been becoming more involved in the public space - tweeting and sharing my work on Tableau public. As I've increased my social presence, I've increased my clout and have experienced more people viewing my LinkedIn page, reaching out to me for opportunities, citing my work in their articles, etc. Gaining credibility in the field really helps push you to develop your skills further and often widens your circle.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">My Favorite Resources</span></h2>
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<span style="font-family: Arial, Helvetica, sans-serif;">New(er) to business intelligence, tableau or data in general? Looking to move into this career path? Here are some of the tools that have helped me along the way!</span></div>
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<li><span style="font-family: Arial, Helvetica, sans-serif;"><b>Books:</b> </span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">Data Viz - Information Dashboard Design by Stephen Few for getting a quick foundation in data visualization design principles and really practical insights. I've honestly only read this and another one of his books, Now You See It. I just started Alberto Cairo's, The Truthful Art. Check out Andy Kriebel's curated list of <a href="http://vizwiz.blogspot.com/2016/05/12-books-every-great-data-analyst.html?es_p=1826972">suggested books here</a>!</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Stats - Naked Statistics by Charles Wheelan</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Business - Creativity, Inc. by Ed Catmull, Seven Steps to Mastering Business Analysis by Barbar Carkenord</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Books on my shortlist to read - Mindset: The New Psychology of Success by Carol Dweck, The Signal and the Noise: Why so Many Predictions Fail</span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;"><b>Podcasts: </b>I dabble in a lot of podcast by my two favorite that I listen to most consistantly are:</span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">Partially Derivative</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Freakanomics</span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;"><b>Newsletters: </b>I subscribe to a few newsletters that send me really interested datasets or date-oriented stories</span></li>
<ul>
<li><a href="http://tinyletter.com/data-is-plural"><span style="font-family: Arial, Helvetica, sans-serif;">Data is Plural</span></a></li>
<li><a href="https://about.modeanalytics.com/newsletter/?utm_source=dispatch-send&utm_campaign=dispatch-subscribe&utm_medium=email&mkt_tok=eyJpIjoiWWpaa05tRTNOR1JoWlRjeSIsInQiOiJQS1czRG51dUpHMStXQ2hwcWk0NHZoSnJaNGo1V3hpYTBKOGp2YnRvblNZSmM1TXppcWdxMDQ1THBIRGc2RDgzd0ZRVGFRRHhkWUI5QUV0S05WakJ0YUtLdWJ1dVRMaHBpMGJOZzBBMG84ND0ifQ%3D%3D"><span style="font-family: Arial, Helvetica, sans-serif;">The Analytics Dispatch</span></a></li>
<li><a href="http://dataelixir.com/"><span style="font-family: Arial, Helvetica, sans-serif;">Data Elixir </span></a></li>
<li><a href="https://medium.com/towards-data-science/weekly-selection-4420934492be" target="_blank"><span style="font-family: Arial, Helvetica, sans-serif;">Towards Data Science</span></a></li>
</ul>
<li><b><span style="font-family: Arial, Helvetica, sans-serif;">Engage via</span></b></li>
<ul>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Twitter - The Tableau community is particularly active on Twitter. I use Twitter to ask questions, learn from others and stay abreast of the latest trends in the data viz industry. There's so many people I could recommend to follow but as a start, check out the <a href="https://twitter.com/tableau/lists/social-media-ambassadors">Tableau Social Media Ambassadors</a>.</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Tableau Public - create an account and start sharing your work. Solicit feedback from those you admire. Download other folks dashboards and reverse engineer them.</span></li>
</ul>
<li><b><span style="font-family: Arial, Helvetica, sans-serif;">Meet Ups</span></b></li>
<ul>
<li><span style="font-family: Arial, Helvetica, sans-serif;">The <a href="http://www.meetup.com/find/">Meetup</a> and <a href="https://www.eventbrite.com/">Eventbrite</a> are teeming with so many industry events.</span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Don't see the group you're interested in? Start your own! I recently started a <a href="http://www.meetup.com/WinDSF/">women in data meet up group</a> in the San Francisco Bay Area. I have met so many amazing people as a result of it. If you're interested in starting a group and what to know more about my experience and lessons learned, reach out!</span></li>
</ul>
</ul>
<div>
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">I hope that this has proved valuable to some of you. Self-improvement is an important value I've always held close. I would love to learn what your best advice is. Comment below or <a href="https://twitter.com/databrit">tweet me</a>! </span></div>
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span class="s1"><br /></span></div>
</div>
Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com13tag:blogger.com,1999:blog-354617951906959324.post-59311065341978365672016-02-01T07:04:00.000-08:002017-06-11T17:02:36.419-07:00#MakeoverMonday Week 5: Travel Trends<span style="font-family: "arial" , "helvetica" , sans-serif;">Today I decided to participate in <a href="https://twitter.com/VizWizBI">Andy Kriebel's</a> and <a href="https://twitter.com/acotgreave">Andy Cotgreave's </a>#MakeoverMonday Tableau Challenge. I have been enjoying seeing this series progress the last few weeks. People have produced such interesting variations of the same data set (see the variety, <a href="https://www.pinterest.com/andykriebel/makeover-monday/">here</a>!). I particularly like this project for a few reasons:</span><br />
<ul>
<li><span style="font-family: Arial, Helvetica, sans-serif;">It removes all the pre-viz steps such as data collection, cleaning, etc. and allows you to focus right in on best practices and design.</span></li>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">If you stick with suggested 1 hour time block, it makes participation less daunting.</span></li>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">It allows you to see what others in the community came up with for the same dataset. I have been finding myself having a-ha moments and really drawing inspiration...I might have an update to this with a makeover of my own incorporating all my favorite parts of others :)</span></li>
<li><span style="font-family: "arial" , "helvetica" , sans-serif;">By engaging with the community, it will encourage you to continue to participate and expand your skillset.</span></li>
</ul>
<span style="font-family: Arial, Helvetica, sans-serif;">So why not give next week's #MakeoverMonday a go? Full details <a href="http://vizwiz.blogspot.com/p/makeover-monday-challenges.html">here</a>!!!</span><script src="https://public.tableau.com/javascripts/api/viz_v1.js" type="text/javascript"></script><br />
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Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com4tag:blogger.com,1999:blog-354617951906959324.post-32398816575474993762016-01-25T14:51:00.001-08:002017-06-11T17:03:17.713-07:00#MakeoverMonday: Data Science Degrees and Tile Maps<span style="font-family: Arial, Helvetica, sans-serif;">I have recently been experimenting with what I've seen being referred to as a tile map, grid map or periodic map. NPR did a great <a href="http://blog.apps.npr.org/2015/05/11/hex-tile-maps.html">write up</a> on traditional choropleth maps, cartograms and tile maps.</span><br />
<div class="separator" style="clear: both; text-align: center;">
<a href="http://blog.apps.npr.org/img/posts/2015-05-11-hex-tile-maps/side-by-side.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="http://blog.apps.npr.org/img/posts/2015-05-11-hex-tile-maps/side-by-side.png" /></a></div>
<span style="font-family: Arial, Helvetica, sans-serif;">Some awesome Tableau folks have also done great tutorials and published these non-traditional map types publically including <a href="http://www.bfongdata.com/2015/11/periodic-table-map.html">Brittany Fong</a>, <a href="http://sirvizalot.blogspot.com/2015/11/hex-tile-maps-in-tableau.html">Matt Chambers</a> and <a href="https://public.tableau.com/profile/krislikesmath#!/vizhome/USStateHexmapAccidentDeaths/HexStateMap">Kris Ericson</a>. There are definitely instances where this type of map enhances the data view or enables better flow and certainly some where it won't be suitable (for example, showing data at the county level among others - <a href="http://www.nytimes.com/interactive/2016/01/07/us/drug-overdose-deaths-in-the-us.html?_r=0">example</a>).</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">I came into this field from a non-traditional background like many others. There's definitely an emergence of new or rebranded data science degree and certificate programs. I was excited when I came across <a href="https://twitter.com/DGM885">Dan Murray's</a> article on the <a href="https://www.interworks.com/blog/dmurray/2016/01/12/thinking-about-data-part-one-data-science">Interworks Blog</a> that used data and an awesome <a href="https://public.tableau.com/profile/dan.murray#!/vizhome/DataSciencePrograms/DataScienceDegrees">tableau visualization</a> to show programs throughout the U.S. Since I came across this at the same time that I was experimenting with tile maps I thought it was a great candidate for a little makeover!</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">One of the benefits that I find particularly useful in the right scenarios is that by normalizing the size of the of states, you set yourself up for success in then using that map view to drive action filters. So, for example, if the map is the driver of more granular analysis it's so much easier to show New England, D.C., Hawaii and Alaska and enhances the user experience by making it easier for them to select the state. I love that you can still color them based on another level of dimensionality and add labels.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">For this viz, I felt that the geographic borders of the state or any sub-level information weren't necessary for visualizing which states have schools that offer degrees in this subject area. The color really allows you to quickly zone in on higher saturations. I think it's much easier to to filter with this view as well. Also, by including Hawaii and Alaska it lets the user know with certainty that those states don't have schools that offer the program area versus being left to assume or guess. I think for American's using this visualization comes with less risk as the orientation of the states in relation to one another is more known. Interestingly enough, I demoed this map style to an internal functional group and my coworker from China said she felt like the map was easier for her to understand than the choropleth. I could see, however, how it might pose challenges to others.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">Have you used these map styles and, if so, what was the use case? I'd love to see other's out there on Tableau public of hear of business applications.</span><br />
<br />
<script src="https://public.tableau.com/javascripts/api/viz_v1.js" type="text/javascript"></script><br />
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Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com72tag:blogger.com,1999:blog-354617951906959324.post-44092795045859378492015-11-15T20:47:00.002-08:002017-06-11T17:05:08.834-07:00Open Data Sets<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 1.43; margin-bottom: 16px; margin-top: 1em;">
A connection of mine recently shared a great resource with me for those of you who are aspiring data scientist or just love data. It's an open-source data science program that can be found here: <a href="http://datasciencemasters.org/">http://datasciencemasters.org/</a>.</div>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 1.43; margin-bottom: 16px; margin-top: 1em;">
Check out this great data repository compiled by the project:</div>
<div style="box-sizing: border-box; margin-bottom: 16px; margin-top: 1em;">
<span style="color: #333333; font-family: "helvetica neue" , "helvetica" , "segoe ui" , "arial" , "freesans" , sans-serif , "segoe ui emoji" , "segoe ui symbol"; font-size: large; line-height: 1.43;"><b>Open Data</b></span></div>
<ul style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 25.6px; margin-bottom: 16px; margin-top: 0px; padding: 0px 0px 0px 2em;">
<li style="box-sizing: border-box;"><a href="https://github.com/caesar0301/awesome-public-datasets" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">List of Public Datasets</a> - user-curated</li>
<li style="box-sizing: border-box;"><a href="http://wiki.dbpedia.org/Datasets" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">DBpedia</a> - utilizing a large multi-domain ontology</li>
<li style="box-sizing: border-box;"><a href="https://aws.amazon.com/datasets?_encoding=UTF8&jiveRedirect=1" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Public Data Sets on AWS</a> - common web crawl corpus, NASA satellite imagery, Human Genome, Google Book NGrams, Wikipedia Traffic, Million Song Dataset, Federal Reserve Economic Data, PubChem, more.</li>
</ul>
<div>
<h2 style="box-sizing: border-box; color: #333333; font-family: "helvetica neue" , "helvetica" , "segoe ui" , "arial" , "freesans" , sans-serif , "segoe ui emoji" , "segoe ui symbol"; line-height: 1.43; margin-bottom: 16px; margin-top: 1em;">
<span style="font-size: large;">Governmental Data</span></h2>
</div>
<ul style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 25.6px; margin-bottom: 16px; margin-top: 0px; padding: 0px 0px 0px 2em;">
<li><a href="http://datacatalogs.org/" style="box-sizing: border-box; color: #4078c0; text-decoration-line: none;">Compendium of Governmental Open Data Sources</a></li>
<li style="box-sizing: border-box;"><a href="http://www.data.gov/" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Data.gov (USA)</a></li>
<li style="box-sizing: border-box;"><a href="http://africaopendata.org/dataset" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Africa Open Data</a></li>
<li style="box-sizing: border-box;"><a href="http://www.census.gov/data/developers/data-sets.html" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">US Census</a> - Population Estimates and Projections, Nonemployer Statistics and County Business Patterns, Economic Indicators Time Series, more.</li>
</ul>
<div>
<h3 style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 1.43; margin-bottom: 16px; margin-top: 1em;">
<span style="font-size: large;">Non-Governmental Org Data</span></h3>
</div>
<ul style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 25.6px; margin-bottom: 16px; margin-top: 0px; padding: 0px 0px 0px 2em;">
<li style="box-sizing: border-box;"><a href="http://data.worldbank.org/topic/private-sector" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">The World Bank</a> - business regulation measures, company-level data in emerging markets, household consumption patterns, World Development Indicators, World Bank finances</li>
<li style="box-sizing: border-box;">^<a href="http://www.pewinternet.org/datasets/pages/3/" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Pew Research Center's Internet Project</a></li>
</ul>
<div>
<h3 style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 1.43; margin-bottom: 16px; margin-top: 1em;">
<span style="font-size: large;">Academic Data</span></h3>
</div>
<div style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 25.6px; margin-bottom: 16px;">
<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/access/subject.jsp" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Inter-university Consortium for Political and Social Research Data Portal</a></div>
<ul style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 25.6px; margin-bottom: 16px; margin-top: 0px; padding: 0px 0px 0px 2em;">
<li style="box-sizing: border-box;"><a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies?classification=ICPSR.IV.B." style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Surveys of Economic Attitudes and Behavior</a></li>
<li style="box-sizing: border-box;"><a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies?classification=ICPSR.IV.A." style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Continuing Series of Consumer Surveys</a></li>
<li style="box-sizing: border-box;"><a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies?classification=ICPSR.IV.C." style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Historical and Contemporary Economic Processes and Indicators</a></li>
</ul>
<div>
<h3 style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 1.43; margin-bottom: 16px; margin-top: 1em;">
<span style="font-size: large;">Truly Random Data</span></h3>
</div>
<ul style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 25.6px; margin-bottom: 16px; margin-top: 0px; padding: 0px 0px 0px 2em;">
<li style="box-sizing: border-box;"><a href="http://www.reddit.com/r/datasets/comments/1uyd0t/200000_jeopardy_questions_in_a_json_file/" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">200,000+ Jeopardy! Questions in a JSON file</a></li>
<li style="box-sizing: border-box;"><a href="http://137.189.35.203/WebUI/CatDatabase/catData.html" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">10,000 annotated images of cats</a></li>
</ul>
<div>
<h3 style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 1.43; margin-bottom: 16px; margin-top: 1em;">
<span style="font-size: large;">Open Data Resource</span></h3>
</div>
<ul style="box-sizing: border-box; color: #333333; font-family: 'Helvetica Neue', Helvetica, 'Segoe UI', Arial, freesans, sans-serif, 'Segoe UI Emoji', 'Segoe UI Symbol'; line-height: 25.6px; margin-bottom: 16px; margin-top: 0px; padding: 0px 0px 0px 2em;">
<li style="box-sizing: border-box;">reddit <a href="http://www.reddit.com/r/datasets/" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">r/datasets</a></li>
<li style="box-sizing: border-box;"><a href="http://opendata.stackexchange.com/" style="box-sizing: border-box; color: #4078c0; text-decoration: none;">Open Data - Stack Exchange</a> (discussion)</li>
</ul>
<div>
<span style="color: #333333; font-family: "helvetica neue" , "helvetica" , "segoe ui" , "arial" , "freesans" , sans-serif , "segoe ui emoji" , "segoe ui symbol";"><span style="line-height: 25.6px;">-----</span></span></div>
<div>
<div style="box-sizing: border-box; margin-bottom: 16px; margin-top: 1em;">
<span style="color: #333333; font-family: "helvetica neue" , "helvetica" , "segoe ui" , "arial" , "freesans" , sans-serif , "segoe ui emoji" , "segoe ui symbol"; font-size: large;"><span style="line-height: 34.32px;"><b>Source: <a href="https://github.com/datasciencemasters/data">https://github.com/datasciencemasters/data</a></b></span></span></div>
</div>
<div>
<span style="color: #333333; font-family: "helvetica neue" , "helvetica" , "segoe ui" , "arial" , "freesans" , sans-serif , "segoe ui emoji" , "segoe ui symbol";"><span style="line-height: 34.32px;"><br /></span></span></div>
Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com44tag:blogger.com,1999:blog-354617951906959324.post-51945902475616199602015-11-14T20:24:00.001-08:002017-06-11T17:07:07.928-07:00Top 16 Things to do in Austin, TX for #TC16!<span style="font-family: "arial" , "helvetica" , sans-serif;">After attending the 2015 Tableau Conference, I partnered with Aaron (<a href="https://twitter.com/VeniVidiVizi">@VeniVidiVizi</a>) on a new project called Data Dare. The idea was to challenge each other throughout this year so that we can keep the momentum from the conference going and continue to better our practice and engage with the Tableau community. We flipped a coin and I got the first dare. Aaron dared me to create an Austin, TX tourism guide in honor of Tableau Conference 2016!</span><br />
<span style="font-family: "arial" , "helvetica" , sans-serif;"><br />
</span> <span style="font-family: "arial" , "helvetica" , sans-serif;">See all the <a href="http://data-dare.com/2015/11/datadare1/">details </a>on how I made it and <a href="http://data-dare.com/2015/11/data-dare-2-brit-challenges-aaron/">what I dared Aaron to do</a> at data-dare.com!!!</span><br />
<br />
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Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com2tag:blogger.com,1999:blog-354617951906959324.post-29202305380026827142015-11-11T15:48:00.002-08:002017-06-11T17:08:21.484-07:00Computer History Museum and a Tableau Makeover<div class="separator" style="clear: both; text-align: left;">
<span style="font-family: Arial, Helvetica, sans-serif;">I just posted a Tableau story about my recent visit to the Computer History Museum that inspired me to makeover a census data viz from the 19th Century! Check it out by clicking the image below:</span></div>
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<a href="https://public.tableau.com/profile/brit4337#!/vizhome/RecreatingCensusVisualizationsinTableau/CensusVizReimaginedwithTableau"><img alt="" border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh_T77sEXpZVHg7xwNPAXh5IdJ8KV2GUkf4u4C4m3g-wRrqX3ElYWTQ9TcKS-T7uj9CxJ2OMEzu9ggIVC7-vzsTeYjQLasJA2jv9jt5aGYv7MbY2GmxxiYud_3huguhDPnkeE4-OUv8Tv5C/s1600/Screen+Shot+2015-11-11+at+7.06.18+AM.png" title="https://public.tableau.com/views/RecreatingCensusVisualizationsinTableau/CensusVizReimaginedwithTableau?:embed=y&:display_count=yes&:showTabs=y" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">Here are some other photos I snapped:</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">Awesome interactive display on inputs and outputs. #HelloSQL</span><br />
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xtf1/v/t1.0-9/12195938_10153729995736419_7874004347961801721_n.jpg?oh=66e45cb7f1b5ff25d3d2b4b78925a4d9&oe=56B34147" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><span style="font-family: Arial, Helvetica, sans-serif;"><img border="0" height="480" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xtf1/v/t1.0-9/12195938_10153729995736419_7874004347961801721_n.jpg?oh=66e45cb7f1b5ff25d3d2b4b78925a4d9&oe=56B34147" width="640" /></span></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">Awesome 3-D visualization on Moore's "Law".</span><br />
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xat1/v/t1.0-9/11218981_10153729995786419_1115898847430978758_n.jpg?oh=b25ba93cc57ff81fd55e8b91264195e3&oe=56F3EF4B" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xat1/v/t1.0-9/11218981_10153729995786419_1115898847430978758_n.jpg?oh=b25ba93cc57ff81fd55e8b91264195e3&oe=56F3EF4B" width="480" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">And another view:</span><br />
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xft1/v/t1.0-9/12227798_10153729995761419_5288327534710555290_n.jpg?oh=668f7d9c2883861b9f101e2efd5a0b0b&oe=56BC7136" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xft1/v/t1.0-9/12227798_10153729995761419_5288327534710555290_n.jpg?oh=668f7d9c2883861b9f101e2efd5a0b0b&oe=56BC7136" width="480" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">Punch card data collection:</span></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xpf1/v/t1.0-9/12226937_10153729996676419_5709462453149355779_n.jpg?oh=a716a255f0406e93030106007e8ddcb4&oe=56ADE874" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xpf1/v/t1.0-9/12226937_10153729996676419_5709462453149355779_n.jpg?oh=a716a255f0406e93030106007e8ddcb4&oe=56ADE874" width="480" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">Transforming the punch card data into visualizations:</span></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xfp1/v/t1.0-9/12189545_10153729996646419_1067793351956393083_n.jpg?oh=da38a147f3520bc5ab6eec401cdd546b&oe=56F9F103" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="480" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xfp1/v/t1.0-9/12189545_10153729996646419_1067793351956393083_n.jpg?oh=da38a147f3520bc5ab6eec401cdd546b&oe=56F9F103" width="640" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">The result:</span></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xpf1/v/t1.0-9/12191717_10153729996606419_6129169611634500480_n.jpg?oh=3b425198d1f4273bdf56f4f76ec64269&oe=56F94AC8" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="480" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xpf1/v/t1.0-9/12191717_10153729996606419_6129169611634500480_n.jpg?oh=3b425198d1f4273bdf56f4f76ec64269&oe=56F94AC8" width="640" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">More Census visualizations:</span></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xaf1/v/t1.0-9/12195982_10153729996556419_1743275921735908965_n.jpg?oh=051af64cfb929b985abd6ff58d92219a&oe=56EDB5E7" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xaf1/v/t1.0-9/12195982_10153729996556419_1743275921735908965_n.jpg?oh=051af64cfb929b985abd6ff58d92219a&oe=56EDB5E7" width="480" /></a></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xpt1/v/t1.0-9/12227607_10153729996551419_2930494634118066899_n.jpg?oh=23f41fde16ac3da4047ff2daf6b6543c&oe=56EF4D66" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xpt1/v/t1.0-9/12227607_10153729996551419_2930494634118066899_n.jpg?oh=23f41fde16ac3da4047ff2daf6b6543c&oe=56EF4D66" width="480" /></a></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xft1/v/t1.0-9/12193887_10153729996521419_2389031735933251781_n.jpg?oh=64c63046c02f4496dd0a41f98a414de7&oe=56F075D5" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xft1/v/t1.0-9/12193887_10153729996521419_2389031735933251781_n.jpg?oh=64c63046c02f4496dd0a41f98a414de7&oe=56F075D5" width="480" /></a></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xfp1/v/t1.0-9/12196128_10153729996461419_919901050646950142_n.jpg?oh=ff5627d3bf11da09c8c0b20467e993c2&oe=56B19CE9" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xfp1/v/t1.0-9/12196128_10153729996461419_919901050646950142_n.jpg?oh=ff5627d3bf11da09c8c0b20467e993c2&oe=56B19CE9" width="480" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">The punch machine:</span></div>
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<a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xfa1/v/t1.0-9/12208458_10153729996456419_2994685342898840839_n.jpg?oh=f9b2b12cab395b557c63ead061b9c4d5&oe=56C397BE" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="640" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xfa1/v/t1.0-9/12208458_10153729996456419_2994685342898840839_n.jpg?oh=f9b2b12cab395b557c63ead061b9c4d5&oe=56C397BE" width="480" /></a></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">Hope you enjoyed! </span></div>
Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com1tag:blogger.com,1999:blog-354617951906959324.post-7145070923945257272015-10-30T17:58:00.002-07:002017-06-11T17:10:10.107-07:00The Story Behind my Viz of the Day on AirBnB<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtFCpV9TcJrckHZvPfefSzIZZm7RSj_HqYMHA2_STdrT-s8SBRGQr9Vdi8-hPYH9znwvThC5t7GXgJt5qOrWDLXsLUFRdI663Q3dBWMkJSfFgYcEHz-0h5a-vsCcwOQ_IUX4EI24UFIxcj/s1600/Screen+Shot+2015-10-30+at+9.02.39+PM.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="296" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhtFCpV9TcJrckHZvPfefSzIZZm7RSj_HqYMHA2_STdrT-s8SBRGQr9Vdi8-hPYH9znwvThC5t7GXgJt5qOrWDLXsLUFRdI663Q3dBWMkJSfFgYcEHz-0h5a-vsCcwOQ_IUX4EI24UFIxcj/s400/Screen+Shot+2015-10-30+at+9.02.39+PM.png" width="400" /></a><span style="font-family: Arial, Helvetica, sans-serif;">It's Saturday October 17th, two days before the 2015 Tableau Conference in Las Vegas. I'm not packed, I haven't picked all the sessions I want to attend yet and I realize my Tableau vizzing has been...well...not existent the last couple of months. The dashboards I made with my team were in production and I started on a new project at work focused on data migration and architecture, less so on visualization (for now). I decided I needed to grease the wheels and play to get back into Tableau mode. To be honest, I didn't have a particular question in mind or a story I wanted to tell. I just wanted a data set that required minimal prep work so that I could get to vizzing. I ended up coming across <a href="http://www.jewelloree.com/2015/06/02/data-feed-inside-airbnb/">Jewel Loree's</a> data feed on "Inside Airbnb". The source of the data, <a href="http://insideairbnb.com/get-the-data.html">Inside Airbnb</a>, hosted a collection of Airbnb data for cities around the world. The best part for me was that the data had already been analyzed, cleansed and aggregated where appropriate. Perfect! As a new resident of the San Francisco Bay Area and customer of Airbnb I immediately grabbed that data set and naively went about creating my dashboard without any attention to the story that was brewing in the media, in courtrooms and likely cities near you...</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: medium;">But first, <a href="https://public.tableau.com/profile/brit4337#!/vizhome/AirbnbSanFranciscoAnalysis/Airbnb">the viz</a>!</span><br />
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<noscript><a href='#'><img alt=' ' src='https://public.tableau.com/static/images/Ai/AirbnbSanFranciscoAnalysis/Airbnb/1_rss.png' style='border: none' /></a></noscript><object class="tableauViz" height="895" style="display: none;" width="1004"><param name='host_url' value='https%3A%2F%2Fpublic.tableau.com%2F' /> <param name='site_root' value='' /><param name='name' value='AirbnbSanFranciscoAnalysis/Airbnb' /><param name='tabs' value='yes' /><param name='toolbar' value='yes' /><param name='static_image' value='https://public.tableau.com/static/images/Ai/AirbnbSanFranciscoAnalysis/Airbnb/1.png' /> <param name='animate_transition' value='yes' /><param name='display_static_image' value='yes' /><param name='display_spinner' value='yes' /><param name='display_overlay' value='yes' /><param name='display_count' value='yes' /><param name='showVizHome' value='no' /><param name='showTabs' value='y' /><param name='bootstrapWhenNotified' value='true' /></object></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">Sorry for the cut off - still figuring this out! I'll eventually figure out how to widen my panel. If anyone has other recommendations, let me know!</span><br />
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<b><span style="font-family: Arial, Helvetica, sans-serif;">Design</span></b><br />
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<span style="font-family: Arial, Helvetica, sans-serif;"><b>- </b>I created a custom color palette by copying an image of their logo from a google search into MS Paint and then used the dropper to get the RGB values. I know, high tech. Next, I used the <a href="http://paletton.com/#uid=1000u0kllllaFw0g0qFqFg0w0aF">Palleton</a> color scheme maker by inputting the color values into their web app. I then followed these <a href="http://kb.tableau.com/articles/knowledgebase/creating-custom-color-palettes">instructions</a> to import my custom palette into Tableau.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">- I also saved a .PNG version of the logo which you see incorporated in the far right with the filter buttons. To do this, I imported a custom shape (the logo). Here's some clear <a href="http://onlinehelp.tableau.com/v6.1/public/online/en-us/i1114815.html">instructions</a>.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">- My favorite visualization on this first dashboard is the box and whisker plot (<a href="http://onlinehelp.tableau.com/current/pro/online/windows/en-us/buildexamples_boxplot.html">here's how</a>). It tells you a lot of information and takes up minimal real estate. See Tufte's <span class="st">Data-Ink ratio. You can see the distribution in rental costs across the many neighborhoods of San Francisco. The line in the middle shows the median price ($205.71). The lighter shaded top part of the box is called the upper quartile ($251.04). The darker box on the bottom is the lower quartile ($165.98). The data points extend to the top and bottom whiskers. These data points represent the lowest and highest observations. </span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;">Tip: you can right click the axis and customize your box and whiskers (mine here show the defaults).</span><br />
<span class="st"></span><a href="https://www.blogger.com/"><br /><img alt="Figure 1: The box and whiskers." height="131" src="https://www.interworks.com/sites/default/files/TECTB%26W1.png.jpg" width="450" /></a><span id="goog_994908797"></span><br />
<span style="font-family: Arial, Helvetica, sans-serif; font-size: xx-small;"><a href="https://www.interworks.com/blog/ccapitula/2014/12/09/tableau-essentials-chart-types-box-and-whisker-plot">Source</a></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">In this data set, you can see Pacific Heights average rental cost is $331.68, much higher than the median. The lowest average rental prices are observed in Visitacion Valley at $108.11. If you highlight this neighborhood on the map you'll notice it's on the far south eastern side of San Francisco further from the tourist spots. Interestingly enough, this neighborhood has the 2nd highest number of listings. What about Pacific Heights? Why does the rental cost much higher there? According to the the internet/Wikipedia:</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;"><i>It is located in one of the most scenic and park-like settings in <a href="https://en.wikipedia.org/wiki/Northern_California" title="Northern California">Northern California</a>, offering panoramic views of the <a href="https://en.wikipedia.org/wiki/Golden_Gate_Bridge" title="Golden Gate Bridge">Golden Gate Bridge</a>, the <a href="https://en.wikipedia.org/wiki/San_Francisco_Bay" title="San Francisco Bay">San Francisco Bay</a>, the <a class="mw-redirect" href="https://en.wikipedia.org/wiki/Palace_of_fine_arts" title="Palace of fine arts">Palace of Fine Arts</a>, <a class="mw-redirect" href="https://en.wikipedia.org/wiki/Alcatraz" title="Alcatraz">Alcatraz</a> and <a href="https://en.wikipedia.org/wiki/Presidio_of_San_Francisco" title="Presidio of San Francisco">the Presidio</a>.
Its location provides a temperate micro-climate that is clearer, but
not always warmer, than many other areas in San Francisco.</i></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">Ah, okay. Makes sense. </span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">- This dashboard also features a dual axis where I am showing the # of listings and the acceptance rate per neighborhood. Here's Tableau's guide to <a href="http://onlinehelp.tableau.com/v6.1/public/online/en-us/i1003545.html">how to make a dual axis</a>. The version in the screenshots is ancient at this point but the steps remain true. I like to sort my bar charts in descending order, most importantly in this case because my chart is scrolling down so without a sort you can't see the top data points clearly. I also think it makes more logical sense when I'm trying to pinpoint the highest or lowest values of a dimension. I also like to sort this in descending by number of listings. Isn't Tableau wonderful? Many times when I use dual axis I synchronize the axis. But, since the formats were different I kept the default and made sure to add a label. For the number of listings I used a Gantt Bar to show the number of listens relative to the acceptance rate.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">- As far as the map, nothing fancy there. The data set already contained the latitudinal and longitudinal values for the the neighborhoods. I made my marks circles, colored by neighborhood, sized by the size of the rental (in square feet), set the color transparency to 83% and threw a bunch of dimensions on the tool tip card. I made sure to edit the tool tips to continue the color scheme and branding. I always feel this makes the overall visualization look very polished too!</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">- To make the logo button filters on the right I simply put my neighborhood dimension on the row shelf, changed the marks to shapes and updated the default shape to the image I imported earlier. Then, through the use of dashboards actions I enabled the worksheets within the viz to speak to each other.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">- The global filters at the top are pretty standard. Something I like to always do it customize them to include the "Apply Button".</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">This is the second dashboard of what I published and I was so shocked to see that the first dashboard had over 6600 views yet the second one only...30. Wow, I am a bit bummed folks missed this one because it starts to tell the real story of this data! This could be a lesson to me that I should use Tableau's story points next time! Anyways, after I made the first dashboard I looked back on the site Jewel linked to where I actually downloaded the data. I realized in my haste to get the data I didn't pause to actually read the intent of <a href="http://insideairbnb.com/get-the-data.html">Inside Airbnb</a>. They provide the data so that, "you can see how Airbnb is being used to compete with the residential housing market." Hmmm, interesting. I decided to take a look for myself and that was the driver of this view.</span><br />
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<b><span style="font-family: Arial, Helvetica, sans-serif;">Design</span></b><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">First, the map. This one I love. I wanted to show the growth of Airbnb in San Francisco over time. On my desktop version it loops through automatically but I noticed when I published you have to manually click the carrot to move through each year. :( Anyone know why that is or how I can fix that? Anyhow, pages create a separate chart for each value in the field and enables you to cycle through them almost like a slideshow. It's really easy to do and works really well with use cases such as this one. So my map viz just contains the longitude and latitude on the columns and rows shelf respectively. I used the circle mark and then dropped the room type to color. Then I dragged my Year pill to the Pages shelf and voila. You'll see the page shelf activate and just like other Tableau menus, you can right click and customize. I chose to loop the playback but unfortunately that didn't show on the published version. It's amazing to see how saturated the city is now and to see it grow so quickly over the last 7 years. The purpose of coloring on the room type this time versus the neighborhood is to show that most of the listings are for the entire home.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">Next, let's look at this more clearly with the bottom line chart. You can see shared rooms weren't even an option until 2011. The highest growth was for the entire home/apt. I thought it was interesting that it was climbing very quickly but then something happened in 2014 and the growth of those listings slowed. Hmm, why? Well it turns out that's the year the city legalized and started regulating these types of short-term rentals, see <a href="http://techcrunch.com/2014/10/07/airbnb-sf/">here</a>. So what does that mean? Well, it means new town ordered limits to hosts, fees, registering your rental with the City Planning Department, hotel taxes, liability insurance, rent control laws and penalties for not abiding by these laws. Sounds like a lot of hassle and risk, right? You can still see growth from 2014-2015 but just not as sharply. I would probably add a comment about this around that data point if I were doing it again.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">The table on the right (sorry you'll have to open the viz in a new tab!). Alright, I know Tableau isn't meant for tabular displays of data but it does have the word Table in it's name, right? I normally do not use crosstabs. But in my haste and to conserve space I did. I wanted to show the number of listings by host and how many days per year they are available. This is important to the debate. The <a href="http://www.sharebetter.org/">anti-Airbnbers </a>argue that wealthy real estate mogels profit from this service and that it exacerbates the affordable housing crisis. You should watch some of their campaign videos a bit over the top IMHO. Anyways, this data could support this claim. I don't know anyone who has that many properties. Also notice that most of them are available all year or close to 365 days out of the year.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">The parameter over the table controls the number of rows you see in the table and is tied to the number of listings the host has. I made this because there were over 4000 hosts and the point was in really looking at the top hosts by number of listings. In hindsight, I would either remove this and only show the top 25 or limit the sliding scale more. The key to making the parameter work for me was creating a calculated field I called Filter Top N: [Rank]<=[Select Top 'N' Value] I then dragged that to the filter shelf and selected "True" so the visualization would only show data points that were in the Top N selected value.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">The last stylist thing I did was the logo border. I wanted to add some pizzazz but it doesn't do anything for the data so best practice wise, a no no. You can tell I put more time in the design of the first dashboard and ran out of time with this one but I believe this one starts to bring more visibility to the true story behind the data.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">This last tab is meant to act as more of a bibliography if you will. I always feel it important to credit sources of information. I also wanted to end by beginning to share two sides of the story. This dashboard has had less then 10 views but I strongly urge you to look at the details here! I posted some info on a study Airbnb commissioned and another visual showing Airbnb listings compared to hotel listings.</span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">I could continue on but if anyone is still reading this post I am sure I've really pushed the limits of your attention span. In my next post I will discuss the politics and data behind the shared economy debate and Airbnb!</span><br />
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<b><span style="font-family: Arial, Helvetica, sans-serif;">I'd love to hear your feedback. As a new blogger please let me know what you liked or didn't like about the post and what you'd like more of! :) </span></b><br />
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<br />Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com9tag:blogger.com,1999:blog-354617951906959324.post-64607416322555130782015-10-24T17:56:00.000-07:002017-06-11T17:11:15.949-07:0010 Things to do after Tableau Conference 2015<span style="font-family: Arial, Helvetica, sans-serif;">So you just had a whirlwind of a week where you were exposed to 10,000+ fellow data nerds. You were inspired by others work, incredulous at the things you saw Tableau could do, excited for all the new feature announcements, giddy over the amazing speakers and feverishly taking notes as to not forget a thing. Your feet probably also ache, you had a great nights sleep in your own bed and you're ready for a Netflix weekend with the SO and/or kiddos. But what about now? What's next? Here's 10 things you can do now to continue the spirit of the conference and continue to grow in your practice:</span><br />
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<li><span style="font-family: Arial, Helvetica, sans-serif;">Connect with your colleges this week at work to reflect and share your conference experiences and to strategize how to harness the momentum, new connections and gained knowledge in your everyday practice. </span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">Now is the perfect time to catch up on the conference Twitter hashtag <a href="https://twitter.com/search?q=%23data15&src=typd">#data15</a> among others (like #datapluswomen!). See the conference through others eyes, find out about the moments you missed and discover new folks to follow! Also, did you know that each conference session had hashtag? While you're at it, use the <a href="http://www.tableau.com/about/blog/2014/8/data14-app-destination-data-your-pocket-32592">conference app</a> to lookup the sessions you attended or the ones you wanted to attend! </span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">Download <a href="http://vizable.tableau.com/">Vizable</a>, the free app that turns your data into beautiful, interactive graphs. It was revealed and went live during Day 1 of the conference and it has already been a big hit! <span itemprop="operatingSystem">Requires iOS 8.0 or later. Compatible with iPad.</span></span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;"><span itemprop="operatingSystem"><a href="http://www.danpink.com/">Daniel Pink</a> talked about the power of regularly devoting time to be creative outside of your daily responsibilities. He discussed a few examples of companies that do this and call it such names as Genius Hour, Friday Evening Experiments or Ship it Days. Have a conversation with your manager about testing this out on your team or consider incorporating it into your life outside of work even if just for 1 hour per week.</span></span></li>
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<li><span itemprop="operatingSystem" style="font-family: Arial, Helvetica, sans-serif;">Download <a href="https://public.tableau.com/s/">Tableau Public</a> and start experimenting publically with data! It's a fantastic way to connect with the community and strengthen your Tableau skills while you're at it. Don't know where to start? Watch the <a href="https://public.tableau.com/s/resources">tutorials</a>! </span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;"><span itemprop="operatingSystem">Consider volunteering with the <a href="http://www.tableaufoundation.org/initiatives/tableau-service-corps">Tableau Foundation</a>. Tableau Service Corps </span>is a volunteer network of Tableau experts eager to help non-profits do more with their data. If you're looking to make a difference by offering your skill set today, this is the perfect opportunity.</span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">If you haven't already, make sure to use the <a href="http://www.tableau.com/about/blog/2014/8/data14-app-destination-data-your-pocket-32592">conference app</a> to rate and provide feedback for your session presenters. This will prove invaluable to them and help make for a great #Data2016.</span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">Speaking of #Data16, did you know you can already <a href="http://tc15.tableau.com/tc16">register</a> and save $500!? Next years conference will be in Austin, TX. Consider writing yourself a memo for things you wish you did/brought/etc. this year. For me, that will include comfortable shoes, bandaids/blister block and business cards!</span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">Check your inbox for an e-mail from Tableau with all the Tableau Conference materials! Take a stab at the hands-on workshop materials, browse attachments from sessions you were unable to attend and drink from the fire hose! </span></li>
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<li><span style="font-family: Arial, Helvetica, sans-serif;">If you tagged attendees in the app, collected business cards or followed conference attendees on Twitter, don't forget to connect with them on LinkedIn. </span></li>
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<span style="font-family: Arial, Helvetica, sans-serif;">What additions would you add to this list!?</span><br />
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xtp1/v/t1.0-9/12074654_10153701270486419_7341190522451187353_n.jpg?oh=7d107b938829ed1a201c6bf2bde573c0&oe=56C18C40" style="margin-left: auto; margin-right: auto;"><img border="0" height="300" src="https://scontent-sjc2-1.xx.fbcdn.net/hphotos-xtp1/v/t1.0-9/12074654_10153701270486419_7341190522451187353_n.jpg?oh=7d107b938829ed1a201c6bf2bde573c0&oe=56C18C40" width="400" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;"><span style="color: #0000ee;">Some of my team members (<span style="color: #0000ee;">I'm by the 2nd <span style="color: #0000ee;">'A'!)</span></span><u><br /></u></span></td></tr>
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Brithttp://www.blogger.com/profile/13167723279068807809noreply@blogger.com5