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<h1>Location History Analysis</h1>
<span class="meta">Posted on 16 November 2016</span>
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<p><strong>Google has been tracking your footsteps.</strong></p>
<p>In case you don't know already, google knows where you have been since you have started carrying a mobile device (unless of course you <a href="https://support.google.com/accounts/answer/3118687">turned off Location History</a>).</p>
<p>Some people might feel uncomfortable with the big brother watching them. I feel pretty ok with that. It feels safe to know that wherever I go, Google watches me; if I'm lost, Google knows where I am and can send a rescue mission. Go Google!</p>
<p>Anyhow, in case you want to know what google knows about you, you can download your Location History data from <a href="https://www.google.com/settings/takeout">https://www.google.com/settings/takeout</a>.</p>
<p>I downloaded mine and started exploring the data. It would be nice to see if we can get some insights from it.</p>
<p>The basic imports:</p>
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<div class=" highlight hl-ipython2"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">rcParams</span>
<span class="kn">from</span> <span class="nn">mpl_toolkits.basemap</span> <span class="kn">import</span> <span class="n">Basemap</span>
<span class="kn">import</span> <span class="nn">json</span>
<span class="kn">from</span> <span class="nn">pandas.io.json</span> <span class="kn">import</span> <span class="n">json_normalize</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="n">rcParams</span><span class="p">[</span><span class="s1">'figure.figsize'</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
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<p>First thing, we'll load the data from the downloaded json file.</p>
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<div class=" highlight hl-ipython2"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">json_normalize</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="nb">open</span><span class="p">(</span><span class="s1">'LocationHistory.json'</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">))[</span><span class="s1">'locations'</span><span class="p">])</span>
<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
<thead>
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<th></th>
<th>accuracy</th>
<th>activitys</th>
<th>altitude</th>
<th>heading</th>
<th>latitudeE7</th>
<th>longitudeE7</th>
<th>timestampMs</th>
<th>velocity</th>
<th>verticalAccuracy</th>
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</thead>
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<th>0</th>
<td>26</td>
<td>[{u'activities': [{u'confidence': 100, u'type'...</td>
<td>NaN</td>
<td>NaN</td>
<td>320796661</td>
<td>347841758</td>
<td>1475514329219</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>1</th>
<td>20</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>320797239</td>
<td>347841462</td>
<td>1475514261172</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>2</th>
<td>20</td>
<td>[{u'activities': [{u'confidence': 100, u'type'...</td>
<td>NaN</td>
<td>NaN</td>
<td>320797239</td>
<td>347841462</td>
<td>1475514141123</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>3</th>
<td>20</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>320797239</td>
<td>347841462</td>
<td>1475514008682</td>
<td>NaN</td>
<td>NaN</td>
</tr>
<tr>
<th>4</th>
<td>20</td>
<td>[{u'activities': [{u'confidence': 75, u'type':...</td>
<td>NaN</td>
<td>NaN</td>
<td>320797365</td>
<td>347841623</td>
<td>1475513948078</td>
<td>NaN</td>
<td>NaN</td>
</tr>
</tbody>
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<div class=" highlight hl-ipython2"><pre><span></span><span class="k">print</span> <span class="s1">'available data:'</span><span class="p">,</span> <span class="s1">' to '</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">t</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">t</span><span class="p">)</span> <span class="o">*</span> <span class="mi">1000000</span><span class="p">)</span><span class="o">.</span><span class="n">date</span><span class="p">()),</span>
<span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">timestampMs</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">timestampMs</span><span class="o">.</span><span class="n">max</span><span class="p">()]))</span>
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<pre>available data: 2013-02-18 to 2016-10-03
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<div class=" highlight hl-ipython2"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">'longitude'</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">longitudeE7</span> <span class="o">/</span> <span class="mi">10000000</span>
<span class="n">data</span><span class="p">[</span><span class="s1">'latitude'</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">latitudeE7</span> <span class="o">/</span> <span class="mi">10000000</span>
<span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">'longitudeE7'</span><span class="p">,</span> <span class="s1">'latitudeE7'</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
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<p>The first thing crying out to be done is to plot all the locations I've been to.</p>
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<div class=" highlight hl-ipython2"><pre><span></span><span class="k">def</span> <span class="nf">plot_places</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">title</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">markersize</span><span class="p">):</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="n">title</span><span class="p">)</span>
<span class="n">m</span> <span class="o">=</span> <span class="n">Basemap</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="s1">'gall'</span><span class="p">,</span>
<span class="n">llcrnrlon</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">min</span><span class="p">()</span> <span class="o">-</span> <span class="n">padding</span><span class="p">,</span>
<span class="n">llcrnrlat</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">min</span><span class="p">()</span> <span class="o">-</span> <span class="n">padding</span><span class="p">,</span>
<span class="n">urcrnrlon</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">max</span><span class="p">()</span> <span class="o">+</span> <span class="n">padding</span><span class="p">,</span>
<span class="n">urcrnrlat</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">max</span><span class="p">()</span> <span class="o">+</span> <span class="n">padding</span><span class="p">,</span>
<span class="n">resolution</span><span class="o">=</span><span class="s1">'h'</span><span class="p">,</span>
<span class="n">area_thresh</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
<span class="n">m</span><span class="o">.</span><span class="n">drawcoastlines</span><span class="p">()</span>
<span class="n">m</span><span class="o">.</span><span class="n">drawcountries</span><span class="p">()</span>
<span class="n">m</span><span class="o">.</span><span class="n">fillcontinents</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="s1">'gainsboro'</span><span class="p">)</span>
<span class="n">m</span><span class="o">.</span><span class="n">drawmapboundary</span><span class="p">(</span><span class="n">fill_color</span><span class="o">=</span><span class="s1">'steelblue'</span><span class="p">)</span>
<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">m</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
<span class="n">m</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="s1">'o'</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="n">markersize</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.2</span><span class="p">)</span>
<span class="n">plot_places</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">'all the places I have visited'</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
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"/>
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<p>I've been abroad a couple of times. But obviously most of the time I've been in my own country, so let's visualize that:</p>
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<div class="prompt input_prompt">In [6]:</div>
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<div class=" highlight hl-ipython2"><pre><span></span><span class="n">radius</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">country_data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[((</span><span class="n">data</span><span class="o">.</span><span class="n">longitude</span> <span class="o">-</span> <span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">median</span><span class="p">())</span><span class="o">.</span><span class="n">abs</span><span class="p">()</span> <span class="o"><=</span> <span class="n">radius</span><span class="p">)</span> <span class="o">&</span>
<span class="p">((</span><span class="n">data</span><span class="o">.</span><span class="n">latitude</span> <span class="o">-</span> <span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">median</span><span class="p">())</span><span class="o">.</span><span class="n">abs</span><span class="p">()</span> <span class="o"><=</span> <span class="n">radius</span><span class="p">)]</span>
<span class="n">plot_places</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">country_data</span><span class="p">,</span>
<span class="n">title</span><span class="o">=</span><span class="s1">'places I have visited in my country'</span><span class="p">,</span>
<span class="n">padding</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
<span class="n">markersize</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
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