Discover Your Ideal Travel and Living Spots with Data-Driven Insights
The DataIsBeautiful SubReddit serves as a platform for users to share and exchange ideas on their data visualizations. The community actively engages in providing valuable feedback, which frequently offers fresh perspectives and stimulates critical thinking.
To provide options for the question and related location related queries, Sophia Hodson shared an interactive map she created using Plotly that provide data-driven responses.
In order to address the query, "Where Should You Live and Travel Based on Your Ideal Weather?" along with other location-specific inquiries, Sophia Hodson developed an interactive Plotly-based map. This map offers data-backed recommendations.
Some of the interesting points that came out of the discussions -
After members pointed out that considering plain average temperature is misleading, the Original Poster (OP) included options to consider average maximum temperatures and average minimum temperatures to provide a more accurate signal on the interactive map.
To this point, a member bought up how his creation MyPerfectWeather.com uses daily high (max) temperature as well as humidity to find number of days in the range of values selected. With this feature users can select temperature range and humidity of their choice to see where the most number of days are as everyone has slightly different preference to preferred weather. This is due to physiology, age, clothing, acclimatization etc.
We feel hot or cold not because of the actual temperature, but how quickly our bodies lose heat. If it's hot and dry, your sweat evaporates quickly and you feel cooler. If it's hot and humid, your sweat doesn't evaporate and you feel hotter.
We associate this type of heat with "muggy" weather, and muggy weather correlates with dew point.
Dew point is a combination of temperature and relative humidity. It's a very convenient way to gauge the comfort level in a particular location, because it's a readily available weather metric. It's not perfect though, because a dew point of 75°F is really miserable if the temperature is 87°F, but it's not completely terrible if the temperature is 78°F.
An observant member noted that the data is 125 years old and averaging data from the 1900's is not a prediction of today's weather.
In the vibrant exchange of comments, one user, who identified as color blind, expressed their frustration with the maps. Adding more hues to the conversation, two other users shared their distaste, with one criticizing the color palette and the other expressing dislike for the entire map, despite not being color blind.
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