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title: Resources
layout: handbook
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        <ul class="nav nav-list span3">
        
            <li class="nav-header">Introduction</li>
            
                <li><a href="ch001_introduction.html">Introduction</a></li>
            
                <li><a href="ch002_working-with-others.html">Working with others</a></li>
            
                <li><a href="ch003_gov-gov-collaboration.html">Helping the government help itself</a></li>
            
        
            <li class="nav-header">Data Literacy</li>
            
                <li><a href="ch005_introduction-to-data-literacy.html">Data-driven advocacy and research</a></li>
            
                <li><a href="ch006_types-of-data.html">Types of data</a></li>
            
                <li><a href="ch007_getting-cleaning.html">Getting & cleaning data</a></li>
            
                <li><a href="ch008_anaysis.html">Analysis</a></li>
            
                <li><a href="ch009_ngo-ngo-collaboration.html">Using technology in your work</a></li>
            
        
            <li class="nav-header">Presentation and engagement</li>
            
                <li><a href="ch011_defining-the-scopetopic.html">Presentation and engagement</a></li>
            
                <li><a href="ch012_selecting-methods-and-tools.html">Selecting methods and tools</a></li>
            
        
            <li class="nav-header">Appendices</li>
            
                <li><a href="ch014_resources.html">Resources</a></li>
            
                <li><a href="ch015_glossary.html">Glossary</a></li>
            
        
            <li class="nav-header">Further information</li>
            <li><a href="http://okfn.booktype.pro/spending-data-handbook/">Contribute to the book</a></li>
            <li><a href="spending-data-handbook.pdf"><strong>Download a PDF version</strong></a></li>
            <li><a href="Spending_Data_Handbook.epub">ePub Version (iPad)</a></li>
            <li><a href="Spending_Data_Handbook.mobi">MOBI Version (Amazon Kindle)</a></li>
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    <div class="span8">
        <div><h2>Resources</h2>
<p>There are a variety of resources that you can use to accomplish some of the technical tasks described in the book. Some are geared towards users who are already experienced in a programming language, and some can be used by those with no experience. Most are helpful with analyzing and visualizing data.</p>
<h3>For analysis and research</h3>
<ul><li>R - Statistical computing software: <a href="http://www.r-project.org/">http://www.r-project.org/</a>&#160;(Open Source)</li>
<li>Internet Archive Wayback Machine - retrieve previous verisons of a website:&#160;<a href="http://archive.org/web/web.php">http://archive.org/web/web.php</a></li>
<li>GeoNames - maps names of places to geographic data:&#160;<a href="http://www.geonames.org/">http://www.geonames.org/</a></li>
<li>UN Classifications of the Functions of Government (COFOG):&#160;<a href="http://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=4">http://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=4</a></li>
<li>OECD DAR and CRS Code List - used to codify donors and agencies of aid funds:&#160;<a href="http://www.oecd.org/dac/aidstatistics/dacandcrscodelists.htm">http://www.oecd.org/dac/aidstatistics/dacandcrscodelists.htm</a>&#160;</li>
</ul><h3>For visualisation and cleaning&#160;</h3>
<p>Free and Open Source:</p>
<ul><li>Image editing with <em>GNU Image Manipulation Program </em>(GIMP):&#160;<a href="http://www.gimp.org/">http://www.gimp.org/</a></li>
<li>CSVKit - Python library for slicing and dicing csvs:&#160;<a href="http://pypi.python.org/pypi/csvkit">http://pypi.python.org/pypi/csvkit</a></li>
<li>Nominatim - Reverse geocoding:&#160;<a href="http://wiki.openstreetmap.org/wiki/Nominatim">http://wiki.openstreetmap.org/wiki/Nominatim</a></li>
<li>D3 javascript library:&#160;<a href="http://d3js.org/">http://d3js.org/</a>,</li>
<li>Raphael javascript library:&#160;<a href="http://raphaeljs.com/">http://raphaeljs.com/</a>,</li>
<li>Rickshaw javascript library:&#160;<a href="http://code.shutterstock.com/rickshaw/">http://code.shutterstock.com/rickshaw/</a></li>
<li>Natural Language Toolkit (NLTK):&#160;<a href="http://nltk.org/">http://nltk.org/</a></li>
<li>TileMill - quick and beautiful maps: <a href="http://mapbox.com/tilemill/">http://mapbox.com/tilemill/</a></li>
<li>OKFN recline javascript library for data management:&#160;<a href="http://reclinejs.com/docs/tutorials.html">http://reclinejs.com/docs/tutorials.html</a></li>
<li>Miso javascript library for data management:&#160;<a href="http://misoproject.com/">http://misoproject.com/</a></li>
<li>ScraperWiki - Community scrapers hosted and run on a schedule: <a href="https://scraperwiki.com/">https://scraperwiki.com/</a></li>
<li>OKFN messy tables:&#160;<a href="http://okfnlabs.org/blog/2012/10/22/messytables.html">http://okfnlabs.org/blog/2012/10/22/messytables.html</a></li>
<li>OKFN BubbleChart:&#160;<a href="http://blog.okfn.org/2011/06/29/new-visualisations-for-openspending/">http://blog.okfn.org/2011/06/29/new-visualisations-for-openspending/</a></li>
</ul><h3>Others</h3>
<ul><li>Google Fusion Tables - Combine different datasets on a single column: <a href="http://support.google.com/fusiontables/answer/2571232/?hl=en&amp;">http://support.google.com/fusiontables/answer/2571232/?hl=en&amp;</a></li>
<li>Tumblr - easy blogging platform for quick sharing of visualizations and infographics: <a href="https://www.tumblr.com/">https://www.tumblr.com/</a></li>
<li>Google Refine : <a href="http://code.google.com/p/google-refine/wiki/DocumentationForUsers">http://code.google.com/p/google-refine/wiki/DocumentationForUsers</a></li>
<li>Google Charts - Good for HTML/JS developers: <a href="https://developers.google.com/chart/">https://developers.google.com/chart/</a></li>
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