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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