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<h1 id="results">Results<a class="headerlink" href="#results" title="Permanent link">&para;</a></h1>
<p>The resulting output <code>.json</code> looks like (for the previous example using No. 1 <code>B90 3LA</code>):</p>
<div class="highlight"><pre><span></span><code><span class="p">[</span>
<span class="p">{</span>
<span class="nt">&quot;property_id&quot;</span><span class="p">:</span> <span class="s2">&quot;fe205bfe66bc7f18c50c8f3d77ec3e30&quot;</span><span class="p">,</span>
<span class="nt">&quot;readable_address&quot;</span><span class="p">:</span> <span class="s2">&quot;1 VERSTONE ROAD\nSHIRLEY\nSOLIHULL\nWEST MIDLANDS\nB90 3LA&quot;</span><span class="p">,</span>
<span class="nt">&quot;flat_appartment&quot;</span><span class="p">:</span> <span class="s2">&quot;&quot;</span><span class="p">,</span>
<span class="nt">&quot;builing&quot;</span><span class="p">:</span> <span class="s2">&quot;&quot;</span><span class="p">,</span>
<span class="nt">&quot;number&quot;</span><span class="p">:</span> <span class="s2">&quot;1&quot;</span><span class="p">,</span>
<span class="nt">&quot;street&quot;</span><span class="p">:</span> <span class="s2">&quot;VERSTONE ROAD&quot;</span><span class="p">,</span>
<span class="nt">&quot;locality&quot;</span><span class="p">:</span> <span class="s2">&quot;SHIRLEY&quot;</span><span class="p">,</span>
<span class="nt">&quot;town&quot;</span><span class="p">:</span> <span class="s2">&quot;SOLIHULL&quot;</span><span class="p">,</span>
<span class="nt">&quot;district&quot;</span><span class="p">:</span> <span class="s2">&quot;SOLIHULL&quot;</span><span class="p">,</span>
<span class="nt">&quot;county&quot;</span><span class="p">:</span> <span class="s2">&quot;WEST MIDLANDS&quot;</span><span class="p">,</span>
<span class="nt">&quot;postcode&quot;</span><span class="p">:</span> <span class="s2">&quot;B90 3LA&quot;</span><span class="p">,</span>
<span class="nt">&quot;property_transactions&quot;</span><span class="p">:</span> <span class="p">[</span>
<span class="p">{</span>
<span class="nt">&quot;price&quot;</span><span class="p">:</span> <span class="mi">317500</span><span class="p">,</span>
<span class="nt">&quot;transaction_date&quot;</span><span class="p">:</span> <span class="s2">&quot;2020-11-13&quot;</span><span class="p">,</span>
<span class="nt">&quot;year&quot;</span><span class="p">:</span> <span class="mi">2020</span>
<span class="p">}</span>
<span class="p">],</span>
<span class="nt">&quot;latest_transaction_year&quot;</span><span class="p">:</span> <span class="mi">2020</span>
<span class="p">}</span>
<span class="p">]</span>
</code></pre></div>
<p>The standard property information is included, we will briefly discuss the additional fields included in this output file.</p>
<h2 id="readable_address">readable_address<a class="headerlink" href="#readable_address" title="Permanent link">&para;</a></h2>
<p>The components that make up the address in the dataset are often repetitive, with the locality, town/city, district and county often sharing the same result. This can result in hard to read addresses if we just stacked all the components sequentially.</p>
<p>The <code>readable_address</code> provides an easy to read address that strips this repetiveness out, by doing pairwise comparisons to each of the four components and applying a mask. The result is an address that could be served to the end user, or easily displayed on a page.</p>
<p>This saves any user having to apply the same logic to simply display the address somewhere, the full address of a property should be easy to read and easily accessible.</p>
<h2 id="property_transactions">property_transactions<a class="headerlink" href="#property_transactions" title="Permanent link">&para;</a></h2>
<p>This array contains an object for each transaction for that property that has the price and year as an <code>int</code>, with the date having the <code>00:00</code> time stripped out.</p>
<h2 id="latest_transaction_year">latest_transaction_year<a class="headerlink" href="#latest_transaction_year" title="Permanent link">&para;</a></h2>
<p>The date of the latest transaction is extracted from the array of <code>property_transactions</code> and placed in the top level of the <code>json</code> object. This allows any end user to easily search for properties that haven't been sold in a period of time, without having to write this logic themselves.</p>
<p>A consumer should be able to use this data to answer questions like:</p>
<ul>
<li>Give me all properties in the town of Solihull that haven't been sold in the past 10 years.</li>
</ul>
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