Inspiration
Segmenting weather forecasting as one of the favourite things of mine to watch , to view the animations , i always wondered how they used to collect the data and represent them in an animated way . Therefore , understanding the use case , i created a data set of all the weather forecasting and represented them with the most asked questions regarding weather forecasting
What it does
It records temperature , humidity , wind speed , pressure , conditions and dew point temperature
How we built it
Created it using google colab , by using python libraries , data analytics and big data.
Challenges we ran into
Faced difficulty while finding out subsequent values of different projections of the dataset
Accomplishments that we're proud of
Successfully created a data set and found out different use cases regarding the same , thus representing a data set in a multi var environment for the user to use or collect data
What we learned
Python libraries , data analysis , big data ,
What's next for Weatherly
Modifying the data set to create an advance structure and thus finding answers to more complicated FAQ's
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