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Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB of Starbuck Stores location data around the world.

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Data-Visualization

Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB of Starbuck Stores data around the world.

Dataset from kaggle.

link: https://www.kaggle.com/datasets?sortBy=relevance&group=featured&search=Starbucks+

Getting Started:

The goal is to introduce the building blocks of creating a meaningful interactive data visualization.To do this, use a dataset from kaggle of Starbucks Stores location data.

Covering a wide range of technologies:

MongoDB for storing and querying the data, Python for building a web server that interacts with MongoDB and html pages, Javascript libraries d3.js, dc.js and crossfilter.js for building interactive charts.

Future Scope:

User can interact with dropdown select item and Chloropeth map will be add soon..

Output:

alt text

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Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB of Starbuck Stores location data around the world.

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