Dublin Bikes — Explorative Analysis + Streamlit App
<p><strong>Streamlined Analysis by Station Volatility</strong></p>
<p>My initial objective was to grasp the ebb and flow of bike usage across each station. To do this, I turned to basic statistics to decode the level of activity at the stations. Specifically, I used the standard deviation of the capacity ratio (available bikes divided by total stands), focusing solely on Mondays to maintain consistency. My hypothesis was that higher fluctuations in this ratio could indicate more vibrant station activity. The following lists highlight the ten stations with the highest and lowest volatility.</p>
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