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    <title>datadive on IanHuston.net</title>
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      <title>DataDive toolbelt</title>
      <link>https://www.ianhuston.net/2014/05/datadive-toolbelt/</link>
      <pubDate>Sat, 24 May 2014 14:50:10 +0100</pubDate>
      
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      <description>&lt;p&gt;&lt;img class=&#34;alignleft size-medium wp-image-505&#34; src=&#34;https://www.ianhuston.net/images/2014/05/logo-datakind-300x49.png&#34; alt=&#34;logo-datakind&#34; width=&#34;300&#34; height=&#34;49&#34; /&gt;What tools do you need to bring to a DataDive? &lt;a title=&#34;DataKind UK&#34; href=&#34;http://datakind.org.uk&#34;&gt;The next DataKind UK&lt;/a&gt; DataDive is taking place in &lt;a title=&#34;DataDive Tickets&#34; href=&#34;http://www.eventbrite.co.uk/e/summer-datadive-with-datakind-uk-tickets-11537271289?aff=estw&#34;&gt;two weeks time&lt;/a&gt; in London. I took part in one of the &lt;a title=&#34;Data diving for charity&#34; href=&#34;http://www.ianhuston.net/2012/10/data-diving-for-charity/&#34;&gt;previous DataDives&lt;/a&gt; and I would highly recommend the experience for anyone with data science or analytical skills who wants to help charities use their data.&lt;/p&gt;
&lt;p&gt;The DataDives take place over the course of a weekend and in that time you have to decide on a charity to work with, understand their data and goals, perform your analysis and present your results in a usable form. That&amp;rsquo;s a lot to get through in just over two days so it&amp;rsquo;s very important to be able to get up and running quickly with the analysis. I thought it might be useful to list the software and tools that I will be packing in my DataDive toolbelt this time around.&lt;/p&gt;</description>
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      <title>Data diving for charity</title>
      <link>https://www.ianhuston.net/2012/10/data-diving-for-charity/</link>
      <pubDate>Wed, 03 Oct 2012 13:30:13 +0100</pubDate>
      
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      <description>Last weekend I took part in the first London DataDive, a charitable event organised by DataKind, who previously organised similar events across the US. The basic premise is that charities have collected large amounts of data, on donors, fund-raising and the actual care, help or interventions they provide. Without costly analysts to sort through and make sense of the data, it goes unused, providing little or no value to the organisation.</description>
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