Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

• UpdatedMay 3, 2021
• R

Empowering Neighborhood Associations to improve the analysis of their initiatives using 311 data

• UpdatedMar 15, 2025
• JavaScript

Project analyzing the City of Austin's Open Data for 8.4M shared scooter rides and also compare the city's 311 complaints about the same. Find insights about the popular spots for scooter rides and the correlation if these areas also have more scooter complaints and more | Python Project 1 | UT Data Analysis and Visualization Nov 2019 - May 2020

• UpdatedSep 22, 2020
• Jupyter Notebook

A project to visualize the data of the NOLA 311 system

• UpdatedJan 12, 2019
• HTML

Annotates "Calls For Service" data with the origin neighborhood name

• UpdatedMar 10, 2017
• Python

Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived inference the 3 most frequent 311 complaint types by borough.

• UpdatedApr 15, 2020
• Python

Discovering if there exists a relationship🔗 between specific demographic characteristics in the population that would explain the tolerance in the population to report noise nuisance to the "311" department 👮🏻‍♂️

• UpdatedMay 23, 2020
• Jupyter Notebook

Normalize and organize the NYC Open Data 311 Service Requests dataset in third-normal form. 🗄️

• UpdatedJan 17, 2024

A Python data manipulation and analysis project that examines the relationship between the number of 311 service request calls placed and the average household income of Washington D.C. residents, based on the eight wards that constitute the city, to find a potential correlation through the use of Pandas dataframes and Matplotlib visualizations.

• UpdatedDec 28, 2019
• Jupyter Notebook

UI Development for NSF-SCC Project

• UpdatedApr 27, 2021
• JavaScript

• UpdatedJan 4, 2022
• Jupyter Notebook

🗑 Classification: Identify wasteful 311 requests

• UpdatedOct 14, 2022
• Jupyter Notebook

In response to the widespread of COVID-19, citizens sought information and support from their city governance through the 311 non-emergency service request system. Our analysis showed that the pandemic has led to a considerable decline in the aggregate number of 311 calls in Kansas City; however, “Public Safety”, “Public Health”, “Trash/Recyclin…

• UpdatedMar 26, 2023
• R

An analysis of calls made to NYC's 311 phone number using ELK stack

• UpdatedMay 23, 2020

Film Permits Analysis

• UpdatedMar 7, 2023
• HTML