Update docs/posts/20241216_30day_map_challenge.md

Co-authored-by: Dan Cummins <[email protected]>

docs/posts/20241216_30day_map_challenge.md

@@ -27,7 +27,7 @@ This was my first year participating in the 30-day map challenge. I was inspired
 
 What I loved most about this challenge was how approachable it felt. Whether I was using familiar tools like Plotly or stepping out of my comfort zone with QGIS, every map I created taught me something new about geospatial visualisation. It was incredible to see how simple datasets could tell compelling stories when mapped out thoughtfully.
 
-I created the first 3 maps below using [Plotly](https://plotly.com/examples/), a free and open-source browser-based graphing library that can be used in Dash applications. I was already very familiar with this tool, as I have used it in many projects to portray data in maps, charts, and much more. Eventually, I decided to make a Dash app which is a Python framework that allows developers to build interactive web apps, especially with analytical interfaces like dashboards, allowing users to interactively explore the data. Usually, users are able to hover over regions to see detailed information about, say, a car's or a van's availability in each area.
+I created the first 3 maps below using [Plotly](https://plotly.com/examples/), a free and open-source browser-based graphing library that can be used in Dash applications. I was already very familiar with this tool, as I have used it in many projects to portray data in maps, charts, and much more. Eventually, I decided to make a Dash app, which is a Python framework that allows developers to build interactive web apps, especially with analytical interfaces like dashboards, allowing users to interactively explore the data. Usually, users are able to hover over regions to see detailed information about, say, a car's or a van's availability in each area.
 
 If you want to see more of my maps or try recreating them yourself, you can check out my [GitHub repository](https://github.com/Sahil590/30daymapchallenge).
 In this post, I’ll focus on the four maps that I created during this challenge: