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    <title>topic Washington State EV Market Analysis | BEVs vs PHEVs in Data Stories Gallery</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Washington-State-EV-Market-Analysis-BEVs-vs-PHEVs/m-p/5187814#M16217</link>
    <description>&lt;P&gt;I built an &lt;STRONG&gt;interactive Power BI dashboard&lt;/STRONG&gt; analyzing &lt;STRONG&gt;Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs)&lt;/STRONG&gt; registered in Washington State using publicly available government data.&lt;/P&gt;&lt;P&gt;The report combines geographic analysis, CAFV incentive eligibility, battery range trends, manufacturer market share, and interactive tooltip drilldowns to create a dynamic EV market overview.&lt;/P&gt;&lt;P&gt;Key Features:&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;I created multiple custom measures for both BEV and PHEV analysis, including:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Total registered vehicles;&lt;/LI&gt;&lt;LI&gt;Average electric range;&lt;/LI&gt;&lt;LI&gt;Average model year;&lt;/LI&gt;&lt;LI&gt;Top manufacturers;&lt;/LI&gt;&lt;LI&gt;Most popular models;&lt;/LI&gt;&lt;LI&gt;CAFV eligibility %;&lt;/LI&gt;&lt;LI&gt;Tooltip-specific dynamic measures;&lt;/LI&gt;&lt;LI&gt;Conditional “No data available” logic;&lt;/LI&gt;&lt;LI&gt;Dynamic display formatting (e.g., 200 miles, N/A, percentages).&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;Examples of implemented logic:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Filtering BEV vs PHEV datasets separately.&lt;/LI&gt;&lt;LI&gt;Ignoring blank/zero electric range values.&lt;/LI&gt;&lt;LI&gt;Handling unavailable CAFV eligibility data.&lt;/LI&gt;&lt;LI&gt;Dynamic tooltip context filtering.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;STRONG&gt;Interactive Tooltip Pages:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;I designed custom tooltip report pages that appear on mouse hover, including:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Geographic tooltip cards;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Manufacturer insights by region;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Vehicle registration evolution by model year;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Dynamic average range metrics;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Context-aware CAFV statistics.&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;This creates a much more interactive and exploratory user experience compared to standard Power BI visuals.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Automated Daily Data Refresh:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;The report uses a live public government dataset connected directly from:&lt;/P&gt;&lt;P&gt;&lt;A href="https://catalog.data.gov/dataset/electric-vehicle-population-data" target="_blank" rel="noopener"&gt;https://catalog.data.gov/dataset/electric-vehicle-population-data&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;Since the source is connected through a web data link, the dataset can be refreshed automatically whenever new vehicle registration data becomes available. This allows the dashboard to stay current without manual file replacement.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Skills Practiced:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Microsoft Power BI;&lt;/LI&gt;&lt;LI&gt;DAX;&lt;/LI&gt;&lt;LI&gt;Data Modeling;&lt;/LI&gt;&lt;LI&gt;Interactive Tooltips;&lt;/LI&gt;&lt;LI&gt;Conditional Formatting;&lt;/LI&gt;&lt;LI&gt;Geospatial Visualization;&lt;/LI&gt;&lt;LI&gt;Time-Series Analysis;&lt;/LI&gt;&lt;LI&gt;Dynamic Measures;&lt;/LI&gt;&lt;LI&gt;UI/UX Dashboard Design;&lt;/LI&gt;&lt;LI&gt;Web Data Integration;&lt;/LI&gt;&lt;LI&gt;Automated Refresh Logic.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class="reportid hidden"&gt;eyJrIjoiMTA5ZGY0MmQtOWM0Yy00NGI3LTliMGItNmJjODkzZWIzZTQ5IiwidCI6IjY1NWVhZjVhLTBhMTctNDEzOS05NzU5LTFlMDIzMTRkMDJhYiIsImMiOjZ9&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Sat, 23 May 2026 00:07:24 GMT</pubDate>
    <dc:creator>CyberKalachik</dc:creator>
    <dc:date>2026-05-23T00:07:24Z</dc:date>
    <item>
      <title>Washington State EV Market Analysis | BEVs vs PHEVs</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Washington-State-EV-Market-Analysis-BEVs-vs-PHEVs/m-p/5187814#M16217</link>
      <description>&lt;P&gt;I built an &lt;STRONG&gt;interactive Power BI dashboard&lt;/STRONG&gt; analyzing &lt;STRONG&gt;Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs)&lt;/STRONG&gt; registered in Washington State using publicly available government data.&lt;/P&gt;&lt;P&gt;The report combines geographic analysis, CAFV incentive eligibility, battery range trends, manufacturer market share, and interactive tooltip drilldowns to create a dynamic EV market overview.&lt;/P&gt;&lt;P&gt;Key Features:&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;I created multiple custom measures for both BEV and PHEV analysis, including:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Total registered vehicles;&lt;/LI&gt;&lt;LI&gt;Average electric range;&lt;/LI&gt;&lt;LI&gt;Average model year;&lt;/LI&gt;&lt;LI&gt;Top manufacturers;&lt;/LI&gt;&lt;LI&gt;Most popular models;&lt;/LI&gt;&lt;LI&gt;CAFV eligibility %;&lt;/LI&gt;&lt;LI&gt;Tooltip-specific dynamic measures;&lt;/LI&gt;&lt;LI&gt;Conditional “No data available” logic;&lt;/LI&gt;&lt;LI&gt;Dynamic display formatting (e.g., 200 miles, N/A, percentages).&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;Examples of implemented logic:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Filtering BEV vs PHEV datasets separately.&lt;/LI&gt;&lt;LI&gt;Ignoring blank/zero electric range values.&lt;/LI&gt;&lt;LI&gt;Handling unavailable CAFV eligibility data.&lt;/LI&gt;&lt;LI&gt;Dynamic tooltip context filtering.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;STRONG&gt;Interactive Tooltip Pages:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;I designed custom tooltip report pages that appear on mouse hover, including:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Geographic tooltip cards;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Manufacturer insights by region;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Vehicle registration evolution by model year;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Dynamic average range metrics;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Context-aware CAFV statistics.&lt;/P&gt;&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;This creates a much more interactive and exploratory user experience compared to standard Power BI visuals.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Automated Daily Data Refresh:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;The report uses a live public government dataset connected directly from:&lt;/P&gt;&lt;P&gt;&lt;A href="https://catalog.data.gov/dataset/electric-vehicle-population-data" target="_blank" rel="noopener"&gt;https://catalog.data.gov/dataset/electric-vehicle-population-data&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;Since the source is connected through a web data link, the dataset can be refreshed automatically whenever new vehicle registration data becomes available. This allows the dashboard to stay current without manual file replacement.&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Skills Practiced:&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Microsoft Power BI;&lt;/LI&gt;&lt;LI&gt;DAX;&lt;/LI&gt;&lt;LI&gt;Data Modeling;&lt;/LI&gt;&lt;LI&gt;Interactive Tooltips;&lt;/LI&gt;&lt;LI&gt;Conditional Formatting;&lt;/LI&gt;&lt;LI&gt;Geospatial Visualization;&lt;/LI&gt;&lt;LI&gt;Time-Series Analysis;&lt;/LI&gt;&lt;LI&gt;Dynamic Measures;&lt;/LI&gt;&lt;LI&gt;UI/UX Dashboard Design;&lt;/LI&gt;&lt;LI&gt;Web Data Integration;&lt;/LI&gt;&lt;LI&gt;Automated Refresh Logic.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class="reportid hidden"&gt;eyJrIjoiMTA5ZGY0MmQtOWM0Yy00NGI3LTliMGItNmJjODkzZWIzZTQ5IiwidCI6IjY1NWVhZjVhLTBhMTctNDEzOS05NzU5LTFlMDIzMTRkMDJhYiIsImMiOjZ9&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 23 May 2026 00:07:24 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Washington-State-EV-Market-Analysis-BEVs-vs-PHEVs/m-p/5187814#M16217</guid>
      <dc:creator>CyberKalachik</dc:creator>
      <dc:date>2026-05-23T00:07:24Z</dc:date>
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