Inspiration
Understand the quantum of data, using data analytics.
What it does
The code, when applied to cities data, develops a word cloud, indicative of the major pressure points. While, for the corporate data, through neural network, develops attributes indicative of the general trend, according to requirement
How I built it
Understanding the questionnaires and the corresponding equivalent points, navigated us to eventually generate some results, which were required.
Challenges I ran into
Clearing and formating the raw data was indeed a herculean task. Manual cleaning of city data was tedious. As most of the data points being qualitative, it was difficult to understand and compare.
Accomplishments that I'm proud of
We could effective leverage the skills at our disposal, although not sufficient enough, to tackle this mammoth task.
What I learned
From the analysis of the data, it is evident to us that, effective commitment and delivery alone is the way ahead to achieve the Paris Agreement target.
What's next for Challenge 1 - Climate Enthisiasts
As students of sustainability management, we would leverage these insights in driving effective climate related projects.
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