Office Locator is a dynamic data analysis tool integrating MongoDB, Foursquare API, and Folium for geospatial visualizations. Designed to identify optimal office locations based on specific criteria, it maps venues and analyzes urban data.
Utilizing MongoDB's database of companies, the primary focus was on locating areas dense with video game companies that raised over a million dollars. San Francisco emerged as the prime location with five established companies presenting promising opportunities.
- Proximity to airports, train stations, bars, Starbucks, vegan restaurants, and basketball stadiums.
- Weighted considerations for each need to prioritize.
The analysis concluded that Exent's office at 37.787646,-122.402759 (658 Market Street, San Francisco) is the optimal choice, considering the density of relevant companies and amenities.
- MongoDB integration for data storage.
- Foursquare API for real-time venue data.
- Folium for geospatial data visualization.
- Analysis of office locations and amenities.
- Customizable data queries.
- Python 3.x
- MongoDB
- Foursquare API access
Required Python libraries:
- pandas, folium, pymongo, python-dotenv, requests, geopy, plotly
Install with:
$pip install pandas folium pymongo python-dotenv requests geopy plotlyStores company data including location and industry.
Provides venue data for enhanced urban landscape analysis.
- Data Collection and Integration
- Criteria Definition
- Data Analysis and Geospatial Analysis
- Optimization and Scoring
- Interactive Visualization
- Final Selection
The Office Locator successfully combines database querying, API usage, and analytical decision-making. It's a data-driven approach tailored to the specific needs of locating a prime office space, exemplified by the choice of Exent's office in San Francisco.
