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		<title>#Makeover Monday wk 29 &#8211; 2019 &#8211; Americans having less Sex</title>
		<link>https://www.tabvizexplorer.com/makeover-monday-wk-29-2019-americans-having-less-sex/</link>
					<comments>https://www.tabvizexplorer.com/makeover-monday-wk-29-2019-americans-having-less-sex/#comments</comments>
		
		<dc:creator><![CDATA[Mithun Desai]]></dc:creator>
		<pubDate>Thu, 18 Jul 2019 11:32:07 +0000</pubDate>
				<category><![CDATA[#MakeoverMonday]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Tableau]]></category>
		<category><![CDATA[American sex frequency]]></category>
		<category><![CDATA[line chart]]></category>
		<category><![CDATA[parameter action]]></category>
		<category><![CDATA[Tableau 2019.2]]></category>
		<category><![CDATA[Tableau Public]]></category>
		<guid isPermaLink="false">http://tabvizexplorer.com/?p=867</guid>

					<description><![CDATA[<p>For week 29, #MakeoverMonday we are visualizing the changing frequency of Americans. Original Article was published by @washingtonpost and data is sourced from General Social Survey. Here is the original chart: Data is available on&#160;data.world Whats Good Title and subtitle for the chart is precise First and last year is highlighted in bold Labels explaining [&#8230;]</p>
<p>The post <a href="https://www.tabvizexplorer.com/makeover-monday-wk-29-2019-americans-having-less-sex/">#Makeover Monday wk 29 &#8211; 2019 &#8211; Americans having less Sex</a> appeared first on <a href="https://www.tabvizexplorer.com">Tabvizexplorer.com</a>.</p>
]]></description>
		
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			<slash:comments>2</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">867</post-id>	</item>
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		<title>#workoutWednesday2019 wk 28 &#8211; Weather</title>
		<link>https://www.tabvizexplorer.com/workoutwednesday2019-wk-28-weather/</link>
		
		<dc:creator><![CDATA[Mithun Desai]]></dc:creator>
		<pubDate>Mon, 15 Jul 2019 03:52:19 +0000</pubDate>
				<category><![CDATA[#workoutwednesday]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Tableau]]></category>
		<category><![CDATA[Climate]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[Dynamic reference line]]></category>
		<category><![CDATA[line chart]]></category>
		<category><![CDATA[Material design concept]]></category>
		<category><![CDATA[Tableau 2019.2]]></category>
		<category><![CDATA[Weather]]></category>
		<guid isPermaLink="false">http://tabvizexplorer.com/?p=849</guid>

					<description><![CDATA[<p>Last week on #Workoutwednesday2019 challenge was given by Curtis Harris and it was about trying out one of the material design concept for data visualisation. It was simple line chart with few twists to highlight temperature of the city and highlighting current month of the year. Requirements: Dashboard size 1000×800 All elements should be in [&#8230;]</p>
<p>The post <a href="https://www.tabvizexplorer.com/workoutwednesday2019-wk-28-weather/">#workoutWednesday2019 wk 28 &#8211; Weather</a> appeared first on <a href="https://www.tabvizexplorer.com">Tabvizexplorer.com</a>.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">849</post-id>	</item>
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		<title>#Makeover Monday wk 28 &#8211; 2019 &#8211; Seeking Asylum in EU</title>
		<link>https://www.tabvizexplorer.com/makeover-monday-wk-28-2019-seeking-asylum-in-eu/</link>
		
		<dc:creator><![CDATA[Mithun Desai]]></dc:creator>
		<pubDate>Wed, 10 Jul 2019 06:58:03 +0000</pubDate>
				<category><![CDATA[#MakeoverMonday]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Tableau]]></category>
		<category><![CDATA[Asylum in EU]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[donut charts]]></category>
		<category><![CDATA[interactive]]></category>
		<category><![CDATA[Migrants]]></category>
		<category><![CDATA[Tableau Public]]></category>
		<guid isPermaLink="false">https://tabvizexplorer.com/?p=840</guid>

					<description><![CDATA[<p>For this week #MakeoverMonday week 28, we are looking at asylum applications in EU by people outside of EU. The original viz was published by EASO based on data from Eurostat and it looked like below image: &#160; &#160; Data is available on data.world and source of data was EUROSTATS. &#160; Whats good? &#160; Interactive Map allowing to [&#8230;]</p>
<p>The post <a href="https://www.tabvizexplorer.com/makeover-monday-wk-28-2019-seeking-asylum-in-eu/">#Makeover Monday wk 28 &#8211; 2019 &#8211; Seeking Asylum in EU</a> appeared first on <a href="https://www.tabvizexplorer.com">Tabvizexplorer.com</a>.</p>
]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">840</post-id>	</item>
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		<title>#Makeover Monday wk 26 &#8211; 2019 &#8211; Alcohol Consumption per Capita</title>
		<link>https://www.tabvizexplorer.com/makeover-monday-wk-26-2019-alcohol-consumption-per-capita/</link>
		
		<dc:creator><![CDATA[Mithun Desai]]></dc:creator>
		<pubDate>Mon, 24 Jun 2019 07:11:14 +0000</pubDate>
				<category><![CDATA[#MakeoverMonday]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Tableau]]></category>
		<category><![CDATA[alcohol consumption;]]></category>
		<category><![CDATA[bar chart]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[Tableau Public]]></category>
		<guid isPermaLink="false">http://tabvizexplorer.com/?p=818</guid>

					<description><![CDATA[<p>This is my first post after a long time, was busy with migration to new country with finding new job, to find house and settling into routine. Here we are with Week 26 for #MakeoverMonday. Today&#8217;s viz is about Alcohol consumption per capita by Countries which was shared here. Data is available on data.world and source of [&#8230;]</p>
<p>The post <a href="https://www.tabvizexplorer.com/makeover-monday-wk-26-2019-alcohol-consumption-per-capita/">#Makeover Monday wk 26 &#8211; 2019 &#8211; Alcohol Consumption per Capita</a> appeared first on <a href="https://www.tabvizexplorer.com">Tabvizexplorer.com</a>.</p>
]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">818</post-id>	</item>
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		<title>#WorkoutWednesday wk 33 &#8211; What Customers make up XX% Sales?</title>
		<link>https://www.tabvizexplorer.com/workoutwednesday-wk-33-what-customers-make-up-xx-sales/</link>
					<comments>https://www.tabvizexplorer.com/workoutwednesday-wk-33-what-customers-make-up-xx-sales/#comments</comments>
		
		<dc:creator><![CDATA[Mithun Desai]]></dc:creator>
		<pubDate>Thu, 16 Aug 2018 13:42:46 +0000</pubDate>
				<category><![CDATA[#workoutwednesday]]></category>
		<category><![CDATA[Data Visualization]]></category>
		<category><![CDATA[Tableau]]></category>
		<category><![CDATA[data visualization]]></category>
		<category><![CDATA[Dataviz]]></category>
		<category><![CDATA[Dynamic Parameters]]></category>
		<category><![CDATA[Pareto Chart]]></category>
		<category><![CDATA[Tableau Public]]></category>
		<category><![CDATA[viz]]></category>
		<guid isPermaLink="false">http://tabvizexplorer.com/?p=743</guid>

					<description><![CDATA[<p>Community #WorkoutWednesday challenge this week was set by Donna Coles and it was about Pareto chart with certain twists. Here, Requirement was to create Pareto chart to see what proportion of customers make up sales with an option of sliding parameter and few tooltips to make it user friendly along with ease of understanding. Requirements:  Dashboard 800 [&#8230;]</p>
<p>The post <a href="https://www.tabvizexplorer.com/workoutwednesday-wk-33-what-customers-make-up-xx-sales/">#WorkoutWednesday wk 33 &#8211; What Customers make up XX% Sales?</a> appeared first on <a href="https://www.tabvizexplorer.com">Tabvizexplorer.com</a>.</p>
]]></description>
		
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			<slash:comments>3</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">743</post-id>	</item>
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