Project 1 for the Boot camp
High level description and details :
- Project1_Presentation.pptx
Objective, of the project is to study the different characteritics of potential Amazon H2Q locations and reach a selection of most likely candidates.
Input source, is Project1_AmazonSites.xlsx. This is a shortlist of the locations to explore
Data analysis, 4 distinctive categories where chosen to be explored. The following folders contain specific details and code on each category.
- Demogrphics_Indrani
- HousingSchools
- Transportation Data - Helen
- Amenities_Niyati
Findings, a summary of the process followed as well as the conclusions reached are in the folder:
- Final Results
The technical requirements for Project 1 are as follows.
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[ X] Use Pandas to clean and format your data set(s)
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[X ] Create a Jupyter Notebook describing the data exploration and cleanup process
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[X ] Create a Jupyter Notebook illustrating the final data analysis https://github.com/indranik/BC_Project1/blob/master/Final%20Results/Combined_City_Ranking_Findings.ipynb
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Use Matplotlib to create a total of 6-8 visualizations of your data (ideally, at least 2 per "question" you ask of your data)
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[X ] Save PNG images of your visualizations to distribute to the class and instructional team, and for inclusion in your presentation https://github.com/indranik/BC_Project1/tree/master/Final%20Results/Plots
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[X ] Optionally, use at least one API, if you can find an API with data pertinent to your primary research questions
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[X ] Create a write-up summarizing your major findings. This should include a heading for each "question" you asked of your data, and under each heading, a short description of what you found and any relevant plots. https://github.com/indranik/BC_Project1/blob/master/Final%20Results/Combined_City_Ranking_Findings.ipynb