<h1 id="reading-2022-01-21">Reading 2022-01-21<a aria-hidden="true" class="anchor-heading icon-link" href="#reading-2022-01-21"></a></h1>
<h2 id="metadata">Metadata<a aria-hidden="true" class="anchor-heading icon-link" href="#metadata"></a></h2>
<ul>
<li>Ref:: <a href="https://docs.timescale.com/timescaledb/latest/tutorials/nyc-taxi-cab/">TimescaleDocs</a></li>
<li>Title:: Introduction to IoT: New York City Taxicabs</li>
<li>Author:: TimescaleDB</li>
<li>Year of publication:: </li>
<li>Category:: Blog</li>
<li>Topic::</li>
</ul>
<h2 id="notes-from-reading">Notes from reading<a aria-hidden="true" class="anchor-heading icon-link" href="#notes-from-reading"></a></h2>
<p>In this tutorial, we analyze and monitor data from New York's yellow cab taxis using TimescaleDB in order to identify ways to gain efficiency and reduce greenhouse gas emissions</p>

TimescaleDB Intro New York City Taxi

h7b-dendron

# Hey 👋

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Huy (he/him)