See how we do it
In this data science project for a private real estate firm, there are several key challenges:
Merging and cleaning the Business License dataset with the Crime Dataset from various sources using Pandas presents the initial hurdle. Ensuring data accuracy and consistency is critical.
Analyzing Chicago's vast geography by integrating Ward Shapefiles adds complexity. Precision in spatial analysis is vital for meaningful results.
Extracting social media data from public accounts for business owners raises ethical questions regarding data privacy and consent, requiring careful handling.
Developing a reliable Deep Learning Prediction Model to forecast crimes near state and federal buildings demands a robust algorithm and sufficient, well-labeled data.
Effectively communicating findings to clients and stakeholders using Tableau requires creating intuitive visualizations to convey complex insights.
Hosting and ensuring accessibility of the GIS Web Application on ESRI's ArcGIS Online platform is crucial for client and public engagement.
In this data-driven project commissioned by a private real estate firm, we undertake a holistic approach to analyze the correlation between Chicago's crime patterns and its local businesses.
We use a Social Media Bot for business owner social media feeds and Pandas to merge and clean data from Business Licenses and Crime Datasets.
Merging the Chicago Ward Shapefile with our datasets enables precise spatial analysis in ArcGIS Pro, identifying crimes within a 25-foot radius of businesses.
Deep learning predicts narcotics and related crimes within 25-50 feet of state and federal buildings.
We create a Tableau Data Visualization Dashboard for clear insights presentation.
A user-friendly GIS Web App hosted on ArcGIS Online displays Chicago businesses and crime across 50 wards.
Our approach ensures data integrity and valuable insights for the client.
We uncover valuable correlations between Chicago's crime patterns and the presence of local businesses, providing crucial insights for our private real estate firm client.
Our meticulous use of Pandas ensures accurate and reliable data integration, enhancing the quality of our analysis.
Through GEO-SPATIAL analysis in ArcGIS Pro, we pinpoint crimes within a 25-foot radius of business locations, offering a deeper understanding of localized crime trends.
Meeting our client's scope of work, our Deep Learning Prediction Model accurately forecasts narcotics and related crimes within a 25-50 foot range from state and federal buildings.
The Tableau Data Visualization Dashboard presents our findings clearly and engagingly, enabling data-driven decision-making.
Our GIS Web Application on ArcGIS Online provides easy access to comprehensive information about Chicago's businesses and crime across all 50 wards.
These outcomes empower our client to make informed decisions, enhance safety measures, and optimize business strategies while adhering to ethical standards and data integrity.
Copyright © 2023 Angstrom application | All Rights Reserved. Designed and Developed by Empyrius